IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis
Why IDKFA?
Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system.
Core Features
Order Blocks Detection
Automatically identifies institutional order blocks using pivot high/low analysis
Extends blocks dynamically until price interaction occurs
Bullish blocks (demand zones) and bearish blocks (supply zones)
Customizable opacity and extend functionality
Advanced Volume Profile
Real-time volume profile calculation for multiple session types
Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)
Mode 1: Side-by-side bull/bear volume display
Mode 2: Overlapped volume display with percentage analysis
Shows buying vs selling pressure at each price level
LVN/HVN Area Detection
Low Volume Nodes (LVN): Areas below VAL where price moves quickly
High Volume Nodes (HVN): Areas above VAH with strong resistance
NPOC (Naked Point of Control): Single print areas within Value Area
Volume-based gradient coloring shows relative activity levels
Smart Fibonacci Retracements
Auto-detects trend direction for proper fibonacci orientation
Dynamic color coding: Red levels in uptrends, Gold in downtrends
Special 88.6% level turns lime green in downtrends
Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6%
Intelligent Signal System
Works best on higher timeframes
Identifies high-probability reversal setups at key levels
Buy signals: Large bearish rejection followed by bullish reclaim
Sell signals: Large bullish rejection followed by bearish breakdown
Signals only trigger near significant support/resistance areas
Signal Analysis & Usage Guidelines
Buy Signal Mechanics
The buy signal triggers when:
Previous candle shows significant bearish movement (minimum ATR multiplier)
Current candle reclaims a configurable percentage of the previous candle's range
Price is near a key support level (order blocks, fibonacci, volume levels)
Sell Signal Mechanics
The sell signal triggers when:
Previous candle shows significant bullish movement (minimum ATR multiplier)
Current candle rejects below a configurable percentage of the previous candle's range
Price is near a key resistance level (order blocks, fibonacci, volume levels)
When to TAKE Signals
High Probability Buy Signals:
Signal appears AT or BELOW the VAL (Value Area Low)
Signal occurs at bullish order block confluence
Price is in LVN area below VAL (momentum acceleration zone)
Signal aligns with fibonacci 61.8% or 78.6% support
Multiple session POC levels provide support confluence
Previous session's VAL acting as current support
High Probability Sell Signals:
Signal appears AT or ABOVE the VAH (Value Area High)
Signal occurs at bearish order block confluence
Price is in HVN area above VAH (heavy resistance zone)
Signal aligns with fibonacci 61.8% or 78.6% resistance
Multiple session POC levels provide resistance confluence
Previous session's VAH acting as current resistance
When to AVOID Signals
Avoid Buy Signals When:
Signal appears ABOVE the VAH (buying into resistance)
Price is in HVN red zones (high volume resistance areas)
No clear support structure below current price
Volume profile shows heavy selling pressure (high bear percentages)
Signal occurs during low-volume periods between major sessions
Multiple bearish order blocks exist below current price
Avoid Sell Signals When:
Signal appears BELOW the VAL (selling into support)
Price is in LVN green zones (momentum could continue)
No clear resistance structure above current price
Volume profile shows heavy buying pressure (high bull percentages)
Signal occurs during Asian session ranges without clear direction
Multiple bullish order blocks exist above current price
Volume Profile Context for Signals
Understanding Bull/Bear Percentages:
70%+ Bull dominance at a level = Strong support expected
70%+ Bear dominance at a level = Strong resistance expected
50/50 Split = Neutral zone, less predictable
Use percentages to gauge conviction behind moves
POC (Point of Control) Interactions:
Signals above POC in uptrend = Higher probability
Signals below POC in downtrend = Higher probability
Signals against POC bias require extra confirmation
POC often acts as magnetic level for price return
Trading Strategies
Strategy 1: VAL/VAH Bounce Strategy
Wait for price to approach VAL (support) or VAH (resistance)
Look for signal confirmation at these critical levels
Enter with tight stops beyond the Value Area
Target opposite boundary or next session's levels
Strategy 2: Order Block + Volume Confluence
Identify order block alignment with VAL/VAH
Wait for signal within the confluence zone
Enter on signal with stop beyond order block
Use LVN areas as acceleration zones for targets
Strategy 3: LVN/HVN Strategy
LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume
HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals
NPOC Areas: "Fill Zones" - price often returns to fill single print gaps
Strategy 4: Multi-Session Analysis
Use Daily/Weekly for major structure context
Use 4H for intermediate levels
Use 1H for precise entry timing
Ensure all timeframes align before taking signals
Strategy 5: Fibonacci + Volume Profile
Buy signals at 61.8% or 78.6% fibonacci near VAL
Sell signals at 61.8% or 78.6% fibonacci near VAH
Use 88.6% level as final support/resistance before major moves
50% level often aligns with POC for confluence
Signal Quality Assessment
Grade A Signals (Highest Probability):
Signal at VAL/VAH with order block confluence
Fibonacci level alignment (61.8%, 78.6%)
Volume profile shows 70%+ dominance in signal direction
Multiple timeframe structure alignment
Signal occurs during high-volume sessions (London/NY)
Grade B Signals (Moderate Probability):
Signal near POC with some confluence
Fibonacci 50% or 38.2% alignment
Mixed volume profile readings (50-70% dominance)
Some timeframe alignment present
Signal during overlap sessions
Grade C Signals (Lower Probability):
Signal with minimal confluence
Weak fibonacci alignment or none
Volume profile neutral or against signal
Conflicting timeframe signals
Signal during low-volume periods
Risk Management Guidelines
Position Sizing Based on Signal Quality:
Grade A: Standard position size
Grade B: Reduced position size (50-75%)
Grade C: Minimal position size (25%) or skip entirely
Stop Loss Placement:
Beyond order block boundaries
Outside Value Area (VAL/VAH)
Below/above fibonacci confluence levels
Account for session volatility ranges
Profit Targets:
First target: Opposite VAL/VAH boundary
Second target: Next session's key levels
Final target: Major order blocks or fibonacci extensions
Credits & Attribution
Original components derived from:
Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0)
Volume Profile elements inspired by @LonesomeTheBlue's volume profile script
Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0)
Auto Fibonacci Retracement code (public domain)
Significant enhancements and modifications include:
Advanced LVN/HVN detection and visualization
Bull/Bear percentage analysis for Mode 2/3
Comprehensive alert system with market context
Integrated buy/sell signals at key levels
Performance optimizations and extended session support
Enhanced Mode 2/3 with percentage pressure analysis
Important Disclaimers
This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately.
Best Practices
Never trade signals blindly - always consider volume profile context
Wait for confluence between multiple tools before entering
Respect the Value Area - avoid buying above VAH or selling below VAL
Use session context - Asian ranges vs London/NY breakouts
Practice proper risk management - position size based on signal quality
Understand the bigger picture - use multiple timeframes for context
Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
In den Scripts nach "point of control" suchen
Advanced Volume Profile Levels (Working)This indicator is a powerful tool for traders who use volume profile analysis to identify significant price levels. It automatically calculates and plots the three most critical levels derived from volume data—the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)—for three different timeframes simultaneously: the previous week, the previous day, and the current, live session.
The primary focus of this indicator is unmatched readability. It features dynamic, floating labels that stay clear of price action, combined with a high-contrast design to ensure you can see these crucial levels at a glance without any visual clutter.
Key Features
Multi-Session Analysis: Gain a complete market perspective by viewing levels from different timeframes on a single chart.
Weekly Levels: Identify the long-term areas of value and control from the prior week's trading activity.
Daily Levels: Pinpoint the most significant levels from the previous day's Regular Trading Hours (9:30 AM - 4:00 PM ET).
Current Session Levels: Track the developing value area and POC in real-time with a dynamic profile that updates with every bar.
Advanced Visuals for Clarity:
Floating Labels: The labels for the weekly and daily levels intelligently "float" on the right side of your chart, moving with the price to ensure they are never obscured by candles.
High-Contrast Design: Labels are designed for maximum readability with solid, opaque backgrounds and an automatic text color (black or white) that provides the best contrast against your chosen level color.
Trailing Current Levels: The labels for the current session neatly trail the most recent price action, providing an intuitive view of intra-day developments.
Comprehensive Customization: Tailor the indicator's appearance to your exact preferences.
Toggle each profile (Weekly, Daily, Current) on or off.
Individually set the color, line style (solid, dashed, dotted), and line width for each set of levels.
Adjust the text size, background transparency, and horizontal offset for all on-chart labels.
Information Hub:
On-Chart Price Labels: Each label clearly displays both the level name and its precise price (e.g., "D-POC: 22068.50").
Corner Table: An optional, clean table in the top-right corner provides a quick summary of all active weekly and daily level values.
Built-in Alerts:
Create alerts directly from the script to be notified whenever the price crosses above or below the weekly or daily Point of Control, helping you stay on top of key market movements.
How to Use
The levels provided by this indicator serve as powerful reference points for market activity:
Point of Control (POC): The price level with the highest traded volume. It acts as a magnet for price and represents the area of "fair value" for that session. Markets often test or revert to the POC.
Value Area High (VAH) & Value Area Low (VAL): These levels define the range where approximately 70% of the session's volume occurred. They are critical support and resistance zones.
Price acceptance above the VAH may signal a bullish breakout.
Price acceptance below the VAL may signal a bearish breakdown.
Rejection at the VAH or VAL often leads to price moving back across the value area towards the POC.
Multi-Timeframe Liquidity Zones V6 (Table)Multi-Timeframe Liquidity Zones V6 (Table) Indicator: Functionality and Uses
Overview: The Multi-Timeframe Liquidity Zones V6 (Table) indicator is a technical analysis tool that highlights key volume-based support and resistance levels across multiple timeframes. It leverages volume profile concepts – specifically the Point of Control (POC) and Value Area High/Low (VAH/VAL) – to identify “liquidity zones” where trading activity was heaviest . Unlike a standard single-timeframe volume profile, this indicator compiles data from several timeframes (e.g. monthly, weekly, daily, intraday) and displays the results in a convenient table format on the chart. The goal is to give traders a consolidated view of important price levels (derived from volume concentrations) across different horizons, helping them plan trades with a broader market perspective.
Purpose and Functionality of the Indicator
Multi-Timeframe Analysis: The primary objective of this indicator is to simplify multi-timeframe analysis of volume distribution. Rather than manually checking volume profiles on separate charts for each timeframe, the tool automatically calculates the key levels for each selected timeframe and presents them together. This includes higher-level perspectives (like monthly or weekly volume hotspots) alongside shorter-term levels (daily or hourly), ensuring that traders don’t miss significant zones from any timeframe . By offering a broader perspective on support and resistance levels, multi-timeframe tools help improve risk management and signal confirmation , and this indicator is designed to provide that volume-based perspective at a glance.
Table Format Display: Multi-Timeframe Liquidity Zones V6 (Table) specifically presents the information as a table (as opposed to plotting lines on the chart). Each row in the table typically corresponds to a timeframe (for example, Monthly, Weekly, Daily, 4H, 1H, 30M, 15M), and the columns list the calculated POC, VAH, VAL, and possibly the average volume for that timeframe’s look-back period. By structuring the data in a table, traders can quickly read off the exact price levels of these liquidity zones without having to visually trace lines. This format makes it easy to compare levels across timeframes or note where multiple timeframes’ levels cluster near the same price – a sign of especially strong support/resistance. The indicator uses a user-defined number of bars or length of history for each timeframe to calculate these values (so you can adjust how far back it looks to define the volume profile for each period).
Objective: In summary, the functionality is geared toward identifying high-liquidity price zones across multiple time scales and presenting them clearly. These high-liquidity zones often coincide with areas where price reacts (stalls, reverses, or accelerates) because a lot of trading activity (hence, orders and volume) took place there in the past. The indicator’s objective is to alert the trader to those areas in advance. It effectively answers questions like: “Where are the major volume concentration levels on the 1-hour, daily, and weekly charts right now?” and “Are there overlapping volume-based support/resistance levels from different timeframes around the current price?” By compiling this information, the indicator helps traders incorporate context from multiple timeframes in their decision-making, without needing to flip through numerous charts.
Identifying Liquidity Zones with POC, VAH, and VAL
Liquidity Zones Defined: In market terms, a “liquidity zone” is an area of the chart where a significant amount of trading occurred, meaning high liquidity (many buyers and sellers exchanged volume there). These zones often act as support or resistance because past heavy trading indicates consensus or interest around those price levels. This indicator identifies liquidity zones through volume profile analysis on each timeframe’s recent price action. Essentially, it looks at the distribution of trading volume at different prices over the specified period and finds the value area – the range of prices that encompassed the majority of that volume (commonly around 70% of the total volume ). Within that value area, it pinpoints the Point of Control (POC), which is the single price level that had the highest traded volume (the peak of the volume profile) . The upper and lower boundaries of that high-volume range are marked as Value Area High (VAH) and Value Area Low (VAL) respectively . Together, the VAH and VAL define the liquidity zone where the market spent most of its time and volume, and POC highlights the most traded price in that zone.
• Point of Control (POC): The POC is the price level with the greatest volume traded for the given period. It represents the price at which the most liquidity was exchanged – effectively the market’s “center of gravity” for that timeframe’s trading activity . The indicator calculates the POC for each selected timeframe by scanning the volume at each price; the price with maximum volume is flagged as that timeframe’s POC. In the table, the POC might be highlighted or listed as a key level (sometimes traders color-code it or mark it for emphasis). Because so many positions were opened or closed at the POC, it often serves as a strong support/resistance. For example, if price falls to a major POC from above, traders expect buyers may step in there (since it was a popular buy/sell level historically), potentially causing a bounce. Conversely, if price breaks through a POC decisively, it may signal a significant shift in market acceptance.
• Value Area High (VAH) and Low (VAL): The VAH and VAL are the price boundaries of the value area, which is typically defined to contain about 70% of the total traded volume for the period . In other words, between VAH and VAL is where the “bulk” of trading occurred, and outside this range is where relatively less volume traded. The indicator derives VAH/VAL by accumulating volume from the highest-volume price (POC) outward until ~70% of volume is covered (this is a common method for volume profile value area). VAH is the top of this high-volume region and VAL is the bottom. These levels are important because they often act like support/resistance boundaries: when price is inside the value area, it’s in a high-liquidity zone and tends to oscillate between VAH and VAL; when price moves above VAH or below VAL, it’s leaving the high-volume zone, which can indicate a potential trend or imbalance (price entering a lower-liquidity area where it might move faster until finding the next liquidity zone). Traders watch VAH/VAL for signs of rejection or acceptance: for instance, a price rally that falters at VAH suggests that level is acting as resistance (sellers defending that high-volume area), whereas if price pushes above VAH, it may continue until the next timeframe’s zone or until it finds new interest. The Multi-Timeframe Liquidity Zones V6 indicator gives the VAH and VAL for each timeframe, essentially mapping out the upper and lower bounds of key liquidity zones at those scales.
How the Indicator Identifies These: Under the hood, the indicator likely uses historical price and volume data for each timeframe’s lookback window. For each timeframe (say the last 20 weekly bars for a weekly profile, last 100 daily bars for a daily profile, etc.), it constructs a volume profile (a histogram of volume at each price). From that distribution, it finds the POC (highest volume bin) and calculates VAH/VAL around it. The output is a set of numbers (price levels) that mark where those zones lie. In practice, if using the Lines version of this indicator, those levels are drawn as horizontal lines on the chart and labeled by timeframe (e.g., a line at 1.2345 labeled “D POC” for Daily POC) . In the Table version, those values are instead listed in text form. Either way, the identification process is the same – it’s finding the high-volume price regions on each timeframe and calling them out. By doing this for multiple timeframes concurrently, the indicator reveals how these liquidity zones from different periods relate to each other. For example, you might discover that a daily-chart value area overlaps with a weekly-chart POC, creating a particularly strong zone of interest. This kind of insight is hard to get from a single timeframe analysis alone.
Volume Profile Data Across Multiple Timeframes
Multiple Timeframes in One View: One of the biggest advantages of this indicator is the ability to see volume profile information from various timeframes side by side. Traders often perform multiple timeframe analysis to get a fuller picture — for instance, checking monthly or weekly levels for long-term context while planning a trade on a 4-hour chart. This indicator automates that process for volume-based levels. The table will typically list each chosen timeframe (which could be preset or user-selected). For each timeframe, you get the POC, VAH, VAL, and possibly an average volume metric. The “average volume” likely refers to the average volume per bar or the average volume traded over the profile’s duration for that timeframe, which gives a sense of how significant that period’s activity is. For example, a weekly profile might show an average volume of say 500k per week, versus a daily profile average of 80k per day – indicating the scale of trading on weekly vs daily. High average volume on a timeframe means its liquidity zones were formed with a lot of participation, possibly making them more reliable support/resistance. By comparing these, traders can gauge which timeframes had unusually high or low activity recently. The table format makes such comparisons straightforward.
Identification of Confluence: Because all the data is presented together, traders can quickly spot confluence or overlaps between timeframes. If two different timeframes show liquidity zones at similar price levels, that price becomes extremely noteworthy. For instance, suppose the indicator shows: a 1-hour POC at 1.1300, a 4-hour VAL at 1.1280, and a daily VAL at 1.1290. These are all in a tight range – effectively indicating a multi-timeframe liquidity zone around 1.1280–1.1300. A trader seeing this cluster in the table will recognize that as a strong support area, since multiple profiles from intraday to daily all suggest heavy trading interest there. Similarly, overlaps of VAH (resistance zone) from different timeframes could signal a strong ceiling. The multi-timeframe view prevents a trader from, say, going long into a major weekly POC above, or shorting when there’s a huge monthly value-area low just below – situations where awareness of higher timeframe volume structure can make the difference between a good and bad trade.
User Customization: The indicator is flexible in that you can typically adjust which timeframes to include and how many bars to use for each timeframe’s calculation. For example, one might configure it to calculate monthly levels using the past 12 monthly bars (1 year of data), weekly levels using the past 20 weeks, daily using 100 days, etc., depending on preference. By tuning the “bars count” or period length , the trader can focus on recent liquidity zones or incorporate more history if desired. Shorter lookback might catch more recent shifts in volume distribution (important if the market structure changed recently), while longer lookback gives more established levels. This customization ensures the indicator’s output can be tailored to different trading styles (short-term vs swing vs long-term investing). Regardless of settings, the multi-timeframe table allows simultaneous visibility of the chosen timeframes’ volume landscape. This comprehensive view is the core strength: it consolidates data that normally requires flipping through multiple charts.
Using the Liquidity Zones Data for Trading Decisions
Traders can use the information from the MTF Liquidity Zones V6 (Table) indicator in several practical ways to enhance their decision-making:
• Identify Support and Resistance: Each liquidity zone acts as a potential support or resistance area. For example, if the table shows a daily VAH at a certain level above the current price, that level might serve as resistance if the price rallies up to it (since it marks the top of a high-volume region where sellers might step in). Conversely, a weekly VAL below current price could act as support on a dip. By noting these levels in the table, a trader planning an entry or exit can anticipate where the price might stall or reverse. Essentially, you get a map of high-interest price levels from different timeframes, which you can mark on your trading chart for guidance.
• Plan Entries and Exits Around Key Levels: Many traders incorporate volume profile levels into their strategies, for instance: buying near VAL (betting that the value area will hold and price will revert upward), or selling/shorting near VAH (expecting the top of value to hold as resistance), or trading breakouts when price moves outside the value area. With the multi-timeframe table, one can refine these tactics by also considering higher timeframe levels. Suppose you see that on the 1-hour chart the price is just above its 1H POC, but the table indicates that just slightly above, there’s also the daily POC. You might delay a long entry until price clears that daily POC, because that could be a stronger intraday barrier. Or if you intend to take profit on a long trade, you might choose a target just below a weekly VAH since price may struggle to climb past that on the first attempt. The indicator thus acts as a guide for precision in entry/exit decisions, aligning them with where liquidity is high.
• Gauge Trend Strength and Directional Bias: By observing where current price is relative to these volume zones, traders can infer certain market conditions. For instance, if price is trading above the VAH of multiple timeframes’ value areas, it suggests the market is in a more bullish or overextended territory (price accepted above prior value), whereas if price is below multiple VALs, it’s in bearish or undervalued territory relative to recent history. If the price stays around a POC, it indicates consolidation or equilibrium (market comfortable at that price). Traders can use this context for bias – e.g., if price is above the weekly VAH, you might lean bullish but watch for potential pullbacks to that VAH level (now a support). If price is below the monthly VAL, you might avoid longs until it re-enters that value area. In essence, the liquidity zones provide context of value vs. price: is price trading within the high-volume areas (implying range-bound behavior) or outside them (implying a breakout or trending move)? This can prevent chasing trades at poor locations.
• Combine with Other Indicators/Analysis: It’s generally advised to not use any single indicator in isolation, and this holds true here. The liquidity zones from this indicator are best used alongside price action or other technical signals for confirmation . For example, if a bullish candlestick reversal pattern forms right at a confluence of a 4H VAL and Daily POC, that’s a stronger buy signal than the pattern alone. Or if an oscillator shows overbought exactly as price hits a weekly VAH, it adds conviction to a possible short. The indicator’s table basically gives you a shortlist of critical price levels; you can then watch how price behaves at those levels (via candlesticks, order flow, etc.) to make the final trade decision. Traders might set alerts for when price approaches one of the listed levels, or they might drop down to a lower timeframe to fine-tune an entry once a key zone is reached. By integrating this volume-based insight with trend analysis, chart patterns, or momentum indicators, one can make more informed and high-probability decisions rather than trading in the dark.
• Risk Management and Stop Placement: High-liquidity zones can also inform stop-loss placement. Ideally, you want your stop on the other side of a strong support/resistance. If you go long near a VAL, you might place your stop just below the VAL (since a move beyond that suggests the high-volume zone didn’t hold). If you short near a VAH, a stop just above the VAH or POC could be logical. Moreover, if multiple timeframes show overlapping zones, a stop beyond all of them could be even safer (albeit at the cost of a wider stop). The indicator helps identify those spots. It also warns you of where not to put a stop – for example, placing a stop-loss right at a POC might be unwise because price could gravitate to that POC repeatedly (due to its magnetic effect as a high-volume price). Instead, a trader might choose a stop beyond the far side of the value area. By using the table’s information, you can align your risk management with areas of high liquidity, reducing the chance of being whipsawed by normal volatility around heavily traded levels .
Benefits of the Multi-Timeframe Liquidity Zones Indicator
Using the Multi-Timeframe Liquidity Zones V6 (Table) indicator offers several key benefits for traders, ultimately aiming to streamline analysis and improve decision quality:
• Consolidated Key Levels: It provides a clear, consolidated view of crucial volume-driven levels from multiple timeframes all at once . This saves time and ensures you always account for major support/resistance zones that come from higher or lower timeframe volume clusters. You won’t accidentally overlook a significant weekly level while focused on a 15-minute chart, for example.
• Enhanced Multi-Timeframe Insight: By aligning information from long-term and short-term periods, the indicator helps traders see the “bigger picture” while still operating on their preferred timeframe. This multi-scale awareness can improve trade timing and confidence. You’re effectively doing multi-timeframe analysis with volume profiles in an efficient manner, which can confirm or caution your trade ideas (e.g., a trend looks strong on the 1H, but the table shows a huge monthly VAH just overhead – a reason to be cautious or take profit early).
• Improved Decision Making and Precision: Knowing where liquidity zones lie allows for more precise entries, exits, and stop placements. Traders can make informed decisions such as waiting for a pullback to a value area before entering, or taking profits before price hits a major POC from a higher timeframe. These decisions are grounded in objectively important price levels, potentially leading to higher probability trades and better risk-reward setups. It essentially enhances your strategy by adding a layer of volume context – you’re trading with an awareness of where the market’s interest is heaviest.
• Volume-Based Confirmation: Price alone can sometimes be deceptive, but volume tells the true story of participation. The liquidity zones indicator provides volume-based confirmation of support/resistance. If a price level is identified by this tool, it’s because significant volume happened there – adding weight to that level’s importance. This can help filter out false support/resistance levels that aren’t backed by volume. In other words, it highlights high-quality levels that many traders (and possibly institutions) have shown interest in.
• Adaptable to Different Trading Styles: Whether one is a scalper looking at intraday (15M, 5M charts) or a swing trader focusing on daily/weekly, the indicator can be configured to those needs. You choose which timeframes and how much data to consider. This means the concept of liquidity zones can be applied universally – from spotting intraday pivot levels with volume, to seeing long-term value zones on an investment. The consistent methodology of POC/VAH/VAL across scales provides a common framework to analyze any market and timeframe.
• Informed Risk Management: As discussed, the knowledge of multi-timeframe volume zones aids in risk management. By placing stops beyond major liquidity areas or avoiding trades that run into strong volume walls, traders can reduce the likelihood of whipsaw losses. It’s an extra layer of defense to ensure your trade plan accounts for where the market has historically found lots of interest (hence likely friction). This level of informed planning can be the difference between a well-managed trade and an avoidable loss.
In conclusion, the Multi-Timeframe Liquidity Zones V6 (Table) indicator serves as a powerful analytical aid, giving traders a structured view of where price is likely to encounter support or resistance based on volume concentrations across timeframes. Its functionality centers on identifying those liquidity zones (via POC, VAH, VAL) and presenting them in an easy-to-read format, while its ultimate purpose is to help traders make more informed decisions. By integrating this tool into their workflow, traders can more confidently navigate price action, knowing the objective volume-based landmarks that lie ahead. Remember that while these volume levels often coincide with strong S/R zones, it’s best to use them in conjunction with other technical or fundamental analysis for confirmation . When used appropriately, the indicator can streamline multi-timeframe analysis and enhance your overall trading strategy , giving you an edge in identifying where the market’s liquidity (and opportunity) resides.
VolumeProfileLibrary "VolumeProfile"
Analyzes volume and price and calculates a volume profile, in particular the Point Of Control and Value Area values.
new(rowSizeInTicks, valueAreaCoverage, startTime)
Constructor method that creates a new Volume Profile
Parameters:
rowSizeInTicks (float) : Internal row size (aka resolution) of the volume profile. Useful for most futures contracts would be '1 / syminfo.mintick'. Default '4'.
valueAreaCoverage (int) : Percentage of total volume that is considered the Value Area. Default '70'
startTime (int) : Start time (unix timestamp in milliseconds) of the Volume Profile. Default 'time'.
Returns: VolumeProfile object
method calculatePOC(vp)
Calculates current Point Of Control of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method calculateVA(vp)
Calculates current Value Area High and Low of the VP
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: void
method update(vp, h, l, v, t)
Processes new chart data and sorts volume into rows. Then calls calculatePOC() and calculateVA() to update the VP. Parameters are usually the output of request.security_lower_tf.
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (array) : Array of highs
l (array) : Array of lows
v (array) : Array of volumes
t (array) : Array of candle times
Returns: void
method setSessionHigh(vp, h)
Sets the high of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
h (float)
Returns: void
method setSessionLow(vp, l)
Sets the low of the session the VP is tracking
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
l (float)
Returns: void
method getPOC(vp)
Gets the current Point Of Control
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Point Of Control (float)
method getVAH(vp)
Gets the current Value Area High
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area High (float)
method getVAL(vp)
Gets the current Value Area Low
Namespace types: VolumeProfile
Parameters:
vp (VolumeProfile)
Returns: Value Area Low (float)
VolumeProfile
Fields:
rowSizeInTicks (series float)
valueAreaCoverage (series int)
startTime (series int)
valueAreaHigh (series float)
pointOfControl (series float)
valueAreaLow (series float)
sessionHigh (series float)
sessionLow (series float)
volumeByRow (map)
totalVolume (series float)
pocRow (series float)
pocVol (series float)
Pattern Pro VPOCSummary:
This indicator combines multi-timeframe pattern detection (triangles and wedges), Volume Point of Control (VPOC) visualization, predictive volume modeling, and a swing-based VWAP. It provides traders with a detailed view of key trading patterns, high-volume levels, and entry/exit opportunities, all integrated into one powerful tool.
How This Script is Unique:
Multi-Timeframe Pattern Analysis:
Identifies chart patterns like triangles and wedges across multiple timeframes, enhancing the trader's ability to spot actionable opportunities.
Dynamically tracks pivot points and projected trendlines to visualize ongoing and potential patterns.
Volume Point of Control (VPOC):
Automatically calculates and plots the VPOC for detected patterns, highlighting the price level with the highest traded volume.
Helps identify strong support/resistance levels within patterns.
Predictive Volume Modeling:
Predicts high-volume trading times based on historical averages, allowing traders to anticipate periods of increased market activity.
Bars are color-coded to reflect projected volume activity.
Swing-Based VWAP:
Incorporates swing highs and lows into VWAP calculations, making it adaptive to current market conditions.
Offers a more dynamic view compared to traditional static VWAP indicators.
Trade Management Features:
Visualizes stop-loss (SL) and take-profit (TP) levels directly on the chart.
Tracks active trades and peak performance, enabling effective trade management.
Customizability:
Offers user-defined settings for timeframe selection, risk management, and volume modeling, making it adaptable to various trading strategies.
How to Use:
Pattern Detection:
The script automatically identifies triangle and wedge patterns. No manual input is needed for detection.
Patterns are displayed with top and bottom trendlines and the associated VPOC.
Volume Modeling:
Enable "Use Predictive Volume" under the Predictive Volume settings to highlight periods of projected high activity.
Customize the moving average period and date range for better precision.
Swing-Based VWAP:
Enable "Use VWAP" and configure the anchor period to suit your trading timeframe (e.g., Session, Week, Month).
The VWAP adapts dynamically to swings for precise insights.
Risk Management:
Adjust initial risk, multiplier, and drawdown limits under Risk Management settings.
Visual SL and TP boxes make it easy to monitor trade progress.
Alerts:
Enable "Pattern Alert" to receive notifications for detected patterns.
Use "Trade Alert" to get notified of potential entry opportunities.
Custom Inputs:
Customize "Lookback Bars for VPOC" to define how far back the indicator searches for volume data.
Modify "Row Size" and "POC Settings" for precise VPOC plotting.
Related Links:
Swing-Based VWAP
Intraday Predictive High-Volume Activity Sessions
Trade Settings:
Pattern Timeframe Input:
Select the timeframe used for detecting patterns (e.g., Chart, 15m, 1H).
Use: Helps identify patterns specific to the selected timeframe.
Bars to Entry:
Defines the number of bars within which a trade should be entered after a pattern is detected.
Use: Ensures timely entries based on identified patterns.
Plot Peak Profit:
Toggles the visualization of the peak profit level for trades.
Use: Helps monitor the maximum potential profit from a trade.
Use Close of Candle Above/Below Top/Bottom Line:
When enabled, the script uses the close of the candle instead of wicks to determine line breakouts.
Use: Ensures more precise break detection for pattern confirmation.
Pattern VPOC Settings:
Lookback Bars for VPOC:
Specifies the number of bars to analyze for calculating the Volume Point of Control (VPOC).
Use: Adjusts the depth of data analyzed for VPOC determination.
Row Size:
Determines the granularity of VPOC calculations. Higher values result in finer divisions.
Use: Fine-tune VPOC plotting for greater precision.
Pattern VPOC Color:
Sets the color of the VPOC line on the chart.
Use: Customize chart aesthetics for better visibility.
Width:
Adjusts the thickness of the VPOC line.
Use: Makes the line more prominent on the chart.
Risk Management:
Initial Risk:
Specifies the base risk amount for each trade.
Use: Helps determine the trade size based on risk tolerance.
Risk Increment Type:
Selects whether risk increments are linear or exponential after consecutive losses.
Use: Adjusts risk dynamically to manage losses effectively.
Multiplier:
Multiplies the risk in exponential mode to calculate the next risk value after a loss.
Use: Defines the growth factor for exponential risk.
Max Drawdown:
Sets the maximum drawdown value before halting trading.
Use: Protects against significant capital depletion.
Initial Capital:
Specifies the starting capital for performance calculations.
Use: Helps measure performance and calculate drawdown percentages.
Alert Settings:
Trade Alert:
Enables alerts for detected trade setups.
Use: Keeps the user notified about potential trade opportunities.
Pattern Alert:
Enables alerts for detected patterns.
Use: Provides immediate notification when a pattern is identified.
Predictive Volume:
Use Predictive Volume:
Toggles the predictive volume modeling feature.
Use: Highlights projected high-volume periods for better timing.
Select Timeframe for Predictive Volume:
Defines the timeframe for predictive volume analysis.
Use: Allows predictive modeling to align with the user's trading style.
MA Average Periods:
Sets the moving average length for volume prediction.
Use: Smoother or more responsive predictive models based on user preference.
Date Range:
Specifies the historical range used for volume analysis.
Use: Limits the scope of volume data for calculations.
VWAP Settings:
Use VWAP:
Toggles the VWAP calculation and plotting.
Use: Tracks the average price weighted by volume to find key price levels.
Hide VWAP on 1D or Above:
Hides VWAP plots on daily or higher timeframes.
Use: Avoids clutter on charts with higher timeframes.
Anchor Period:
Sets the anchor period for VWAP calculation (e.g., Session, Week, Month).
Use: Aligns VWAP with the selected timeframe.
Source:
Defines the price source for VWAP calculation (default: hlc3).
Use: Adjusts VWAP based on the preferred price type.
Offset:
Adjusts the VWAP line's placement by the specified number of bars.
Use: Moves the VWAP line forward or backward for better visual alignment.
Swing Size:
Defines the sensitivity for detecting swing highs and lows in VWAP calculations.
Use: Refines VWAP calculations to match market swings.
Directional Targets & POC TableThe "Directional Targets & POC Table" Pine Script™ is a comprehensive tool designed to help traders identify directional bias, potential price targets, and important levels like the Point of Control (POC). Additionally, it detects fair value gaps (FVGs) and order blocks, which are crucial concepts in Smart Money Concepts (SMC) trading. Here's an overview of its functionality:
1. Indicator Overview:
The script combines multiple technical tools into a single visual aid:
Directional Targets: Fibonacci-based upper and lower targets that provide a forecast of where the price might move.
Point of Control (POC): Midpoint of the daily range, displayed visually on the chart.
Fair Value Gaps (FVGs): Areas of imbalance in the market, potentially leading to price reversals.
Order Blocks: Areas where institutional traders might have entered large positions, potentially serving as support or resistance.
2. Key Features:
Directional Targets & POC Table:
A table is displayed in the top-right corner of the chart, showing:
Direction: Based on whether the price is above or below the POC.
Target ↑: The upper target, calculated using Fibonacci's 0.618 level, which acts as a potential resistance.
POC: The midpoint between the daily high and low, serving as the central level of interest.
Target ↓: The lower target, also calculated using the 0.618 Fibonacci level, which serves as potential support.
The table uses colors to make each level easily distinguishable, with green for bullish targets, red for bearish, and yellow for the POC.
POC Visualization:
The Point of Control (POC) is drawn on the chart as a box that stretches horizontally. It highlights the central price range where the highest volume or interest may have occurred, providing a key level for traders to watch.
The POC can act as a support or resistance area, with price frequently reacting at or near this level.
FVG Detection:
Fair Value Gaps are identified when there’s a price imbalance between two bars. These gaps occur when the high of one bar is lower than the low of a bar two periods earlier, or vice versa.
The script draws lines at the boundaries of these gaps, helping traders spot potential areas where the price may return to fill the gap.
If the price revisits and fills the gap, the FVG lines are automatically deleted, signaling the gap is no longer relevant.
Order Blocks Detection:
Bullish Order Blocks are detected when a strong bullish candle forms, where the close equals the high, and it’s higher than the previous bar’s low. This represents potential institutional buying interest.
Bearish Order Blocks are detected when a strong bearish candle forms, where the close equals the low, and it’s lower than the previous bar’s high, representing potential selling interest.
The order blocks are drawn as rectangles on the chart, marking significant price zones that may act as future support (bullish) or resistance (bearish).
3. Direction Determination:
The script calculates the daily high, low, and mid-point (POC). If the current price is above the POC, the market is deemed bullish; if it’s below, the market is bearish. If it’s near the POC, the market is considered neutral.
This directional bias is then displayed in the table, giving traders an easy way to assess whether they should be looking for long or short opportunities.
4. Use Case:
This script is particularly useful for traders who:
Want to identify key levels like the POC and potential price targets based on Fibonacci retracement.
Follow Smart Money Concepts (SMC) and need tools to detect FVGs and order blocks, which can signal areas of market imbalance or institutional involvement.
Need a simple visual aid to determine market direction and structure, helping them make informed trading decisions.
5. Additional Features:
The script is highly visual, providing both numeric information in a table and plotted elements (lines, boxes) directly on the chart.
The automatic detection and clearing of FVGs and order blocks make this tool dynamic and easy to follow.
The script helps identify areas where price might react, giving traders a roadmap to follow for potential entries, exits, or take-profit levels.
This indicator is designed for traders looking to incorporate both conventional and advanced concepts like Fibonacci targets, POC, and SMC principles (FVGs and Order Blocks) into their strategy.
Trademania - PVSRA IndicatorTrademania - PVSRA Indicator
The Trademania - PVSRA Indicator is based on a proven MT4 indicator suite that has been in use since 2013. Over time, it has been expanded with additional features and tools. Originally developed for the Forex market, it also works well for cryptocurrencies, stocks, and other assets. The goal of this indicator is to combine classic chart analysis with PVSRA analysis, allowing for a clean mixed chart analysis. Traders gain access to a wide range of important information and can use it to form their trading assumptions. The indicator is designed to make it as simple as possible: identifying price levels at the breakout of key support/resistance, for confirmations above/below an imbalance, or recognizing and validating standard structures.
Important: This indicator is designed to be used across all timeframes. It works equally well for scalping on lower timeframes and for larger timeframes, such as spot trading on the 4H or daily chart.
The following core features are available:
- PVSRA Candles
- Dynamic Zones for PVSRA Candles (Imbalance)
- Market sessions with high/low points
- Integrated EMAs (daily, weekly, higher time frames)
- Fully customizable EMAs
- Pivot points with mid/50% level
- Price ranges from yesterday and last week
- Average daily range (also available for weekly and monthly)
- Psychological levels (for Forex)
- Daily open
- High/Low Point of Control (POC) indicators for wicks and candle bodies
- WIL (Weekly Interest Level) - High/Low of the Asian session
- On-chart labels for nearly all elements
Key Features:
- PVSRA, integrated POC levels, and WIL levels distinguish this indicator.
- Integrated EMAs and the daily, weekly, high time frame EMAs can be supplemented or replaced by custom EMAs for maximum flexibility.
Special Feature:
- Lite Mode for better visibility and simplified chart analysis.
Instructions and Notes
PVSRA Candles
Display volume or tick volume on the chart.
- Candles with more than 200% average volume of the last 10 candles, where the product of candle spread and volume is greater than the last 10 candles/timeframes, are shown in green (bullish) and red (bearish).
- Blue and purple candles show the same with 150% average volume of the last 10 candles.
**Note:** To obtain valid information, the trading volume should be as large as possible. If you're viewing the chart of an exchange with low trading volume, you can use the PVSRA override to display the volume from another exchange. For example, you can view the Phemex chart but display the tick/volume of the Binance chart as PVSRA/Vector candles.
Dynamic Zones for PVSRA Candles (Imbalance)
Zones that match the color of the respective vector candle display imbalance on the chart.
- In PVSRA analysis, it is assumed that such imbalances will be revisited and corrected. It can be customized whether this should happen with candle wicks or just the candle bodies.
Market Sessions with High/Low Points (DST)
Relevant market sessions: Sydney/NZX, Tokyo, Hong Kong, EU, New York, as well as the Brinks sessions pre EU/NY, are marked with high/low points and labeled on the chart.
- In PVSRA/Mixed analysis, these represent important liquidity zones of the individual trading sessions, often serving as key support/resistance levels.
WIL (Weekly Interest Level) - High/Low of the Asian Session
The new WIL levels represent the market open/Asian session of the new trading week: Sydney open to Hong Kong close.
- This forms an important price range for the trading week and is always a key breakout zone or rejection area in mixed analysis. Additional liquidity is needed to break through these levels.
- Higher effort against the start of the week – an imbalance (above/below).
High/Low Point of Control (POC) Indicators for Wicks and Candle Bodies
Additionally, the indicator includes pivot-based POC markers at key highs/lows on the chart.
- A POC is generated from the candle footprint (1000 resolution) and displayed on the chart.
- **Note:** If the POC is in a wick, it is shown as a line; if the POC is only in the candle body, it is displayed in small text.
- In mixed analysis, POCs in volume-heavy wicks are always a key indication of price levels that will be revisited and a potential enhancer for a wick-fill upwards or downwards.
EMA/Pivot Points/Psychological Levels Classic/Average Ranges:
Daily/ADR - Weekly/AWR / High/Low values for day/week, as well as the daily open of the current trading day, form the foundation of the indicator.
- Base structures that account for imbalance must break certain price levels to confirm or invalidate a previous movement (bullish or bearish).
- 13/50/200/800 EMA retrace: Breaking these in either direction without addressing an imbalance on the opposite side requires confirmation after the break.
- Pivot-level trading operates on the same principle.
- **Note:** Pivot levels in this indicator have additional M-levels, which represent 50% markers to provide better insights into potential retraces or upward moves.
- For example: Breaking M1, retracing, and confirming at M1 with a target at M2.
To recognize a standard 3-level rise or retrace scenario in mixed analysis, as well as a potential extended chart progression, these levels are essential.
**Note:** Average ranges such as High/Low ADR are particularly important levels where interruptions are expected. Profit-taking, long/short, is common at these points, independent of standard structures. This also applies to the high/low levels of the last trading day and the weekly versions of these levels.
The daily open helps identify possible SPOT/Futures gaps (depending on the asset, such as a missing futures market over the weekend: NAS/DAX).
Important:
The Lite Mode is designed to help traders reduce the chart to essential core functions (PVSRA/EMA/WIL/Psy/Daily Open/Hi-Lo) to apply classic TA effectively and strengthen a mixed analysis or challenge certain assumptions regarding confirmation and imbalance.
**Note:** It is recommended to additionally use a MACD indicator to identify potential trends and momentum.
- For example, a positive MACD trend supporting a 50 EMA breakout with a target of the 200 EMA under positive imbalance (standard mixed pattern).
To cater to personal preferences or trading strategies, it is possible to add custom EMA values to the indicator without the need for a second or third separate indicator.
All functions are fully customizable within the indicator settings.
Trend_Prime_MasterTrend_Prime_Master is a trend-following indicator designed to help traders identify potential buy and sell signals with enhanced clarity and reliability. This indicator integrates multiple technical analysis tools into a cohesive system, maximizing their individual strengths to offer traders a comprehensive view of market trends. With its advanced blend of market structure analysis, multiple EMAs, custom volume and momentum indicators, and multi-timeframe trend confirmation, Trend_Prime_Master is tailored to navigate the complexities of financial markets.
Core Features
Trend_Prime_Master offers a suite of features that provide in-depth analysis and actionable insights into market trends:
Multi-Timeframe Trend Analysis: This feature ensures that the signals you act on are aligned with broader market trends by filtering and confirming them across various timeframes. By aligning your trades with the larger market direction, you improve the overall consistency of your trading decisions.
Sophisticated Signal Generation: Signals are generated based on a confluence of technical conditions, including Exponential Moving Average (EMA) crossovers and custom momentum indicators. This multi-layered approach helps focus on signals that have strong backing from market conditions, thereby increasing the reliability of trading decisions.
Color-Changing Trend Line: The trend line changes color based on the market's current direction, providing a quick visual cue for traders. Green indicates a bullish trend, while red signals a bearish trend. This feature simplifies the process of identifying trends, allowing traders to make informed decisions at a glance.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on market conditions. These lines provide a more responsive view of the trend compared to static moving averages, particularly useful in volatile markets.
Short Trend Lines: In addition to the main trend line, Trend_Prime_Master includes short trend lines that focus on immediate market movements. These lines are based on shorter EMAs and offer additional layers of trend confirmation, particularly in fast-moving markets.
Custom Volume and Momentum Indicators: These advanced tools validate the strength of trends by assessing the underlying market pressure and the speed of price movements, ensuring that signals are supported by substantial market activity.
Heikin Ashi Integration: Heikin Ashi candles are used to smooth out price data, reducing noise and providing a clearer view of the underlying trend. This integration enhances the clarity and reliability of the signals, making it easier to follow the trend and make informed decisions.
CHoCH (Change of Character): CHoCH is a critical component in understanding market structure changes. It occurs when the market shows a significant shift in behavior, such as moving from a trending phase to a consolidation phase, or vice versa. Trend_Prime_Master automatically detects and labels CHoCH on the chart, helping traders anticipate potential reversals or shifts in market momentum.
Detailed Component Explanations
Every component in Trend_Prime_Master has been carefully selected and integrated to enhance the overall performance of the indicator. Here’s a detailed explanation of how these components work together:
EMA Combinations for Trend Identification: Trend_Prime_Master utilizes multiple EMAs with different periods to capture both short-term and long-term trends. By analyzing the relationship between faster and slower EMAs, the indicator identifies potential trend reversals and continuations. The combination of multiple EMAs helps in smoothing out price data, reducing noise, and providing a more accurate depiction of the trend.
Adaptive Lines: The adaptive lines in Trend_Prime_Master adjust dynamically based on changing market conditions. Unlike static moving averages, which use a fixed calculation period, adaptive lines recalibrate themselves to respond more effectively to shifts in market momentum. This allows traders to capture emerging trends more quickly and avoid the lag associated with traditional moving averages.
Short Trend Lines: Short trend lines are calculated using faster EMAs and are designed to highlight immediate market trends. These lines are particularly useful for traders who focus on short-term market movements, providing early indications of potential trend reversals or continuations. By combining short trend lines with longer EMAs, Trend_Prime_Master offers a multi-layered approach to trend analysis, ensuring that both short-term and long-term perspectives are considered.
Point of Control (POC):
The Point of Control (POC) is a key concept in volume profile analysis that represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC line is automatically calculated and plotted on the chart. This level is crucial because it often acts as a significant support or resistance level, where price tends to gravitate towards or bounce off. By incorporating the POC, Trend_Prime_Master enhances your ability to identify critical price levels that are likely to influence future price movements.
The POC works synergistically with other components like EMAs and custom momentum indicators by confirming whether these technical signals align with high-volume price levels. For instance, a buy signal near the POC might suggest a strong support level, making the trade more likely to succeed, while a sell signal below the POC could indicate a potential breakout or continuation of a downtrend.
Break of Structure (BOS): BOS is a crucial concept in market structure analysis that indicates a significant change in market behavior. It occurs when the market breaks a previous high or low, suggesting a potential reversal or continuation of the trend. In Trend_Prime_Master, BOS is used to identify these critical moments, helping traders anticipate major market moves. BOS works in conjunction with other signals, such as EMA crossovers and trend line changes, to provide a comprehensive picture of the market's direction.
CHoCH (Change of Character): CHoCH refers to a sudden and significant shift in market behavior, often signaling a change from a trending market to a ranging one, or vice versa. This concept is crucial for traders who need to adjust their strategies based on the market’s current phase. Trend_Prime_Master automatically detects CHoCH moments and marks them on the chart, allowing traders to adapt their strategies promptly and effectively.
Custom Volume and Momentum Indicators: These custom indicators in Trend_Prime_Master go beyond standard tools by incorporating advanced calculations that consider both the direction and intensity of market moves. These indicators help validate the strength of a trend, ensuring that traders act on signals backed by strong market activity. This allows for a more nuanced view of trend strength, supporting better trading decisions.
Color-Changing Trend Line: This visual tool is not just a simple trend line; it dynamically adjusts its color based on the current trend direction, providing an immediate visual representation of the market’s state. When combined with other components like BOS and custom volume indicators, the color-changing trend line helps traders quickly assess whether the current market conditions favor a particular trade, reducing the cognitive load on traders and enabling faster decision-making.
Multi-Timeframe Filters: These filters ensure that the signals generated on a lower timeframe are consistent with the trends observed on higher timeframes. A signal is only considered valid if it aligns across these multiple timeframes, ensuring that your trades are supported by the broader market context.
Heikin Ashi Smoothing: Heikin Ashi candles are incorporated into Trend_Prime_Master to smooth out noise in price data. These candles average out price movements, making it easier to identify the underlying trend without being distracted by minor fluctuations. This smoothing effect is particularly useful in volatile markets, where traditional candlesticks might present a confusing picture of market behavior.
How It Works
Trend_Prime_Master integrates these tools into a cohesive system designed to provide clear and actionable insights into market trends:
EMA-Based Trend Identification: By analyzing multiple EMAs, Trend_Prime_Master identifies the prevailing market trend and potential reversals. This process involves comparing the positions of faster and slower EMAs to detect crossovers, which are key signals for trend changes.
Adaptive Lines: These lines adjust in real-time to reflect the current market conditions. They offer a more responsive trend-following approach compared to traditional moving averages, making them particularly useful in volatile or rapidly changing markets.
Short Trend Lines: These lines focus on short-term market trends, providing early signals of potential reversals or continuations. By tracking immediate price movements, short trend lines help traders respond quickly to market changes, offering a valuable perspective in fast-moving markets.
Point of Control (POC):The POC represents the price level with the highest traded volume over a specific period. In Trend_Prime_Master, the POC is plotted to help traders identify key levels where the market has shown significant interest. These levels often act as strong support or resistance and can be crucial in determining the validity of a trend. For instance, a signal near the POC might indicate a more reliable setup, as it shows that the price is aligning with a major volume level.
Break of Structure (BOS): BOS plays a pivotal role in confirming trend reversals. When the price breaks a significant structure, such as a previous high or low, it suggests that the market may be shifting direction. This is particularly important for traders looking to enter the market at the beginning of a new trend.
CHoCH (Change of Character): CHoCH is critical for recognizing shifts in market phases. For example, a CHoCH might indicate that a market is moving from a trend into a consolidation phase, or vice versa. By identifying these changes early, Trend_Prime_Master allows traders to adjust their strategies accordingly, whether that means tightening stop-losses in a trending market or preparing for breakout trades in a consolidating one.
Custom Volume and Momentum Confirmation: These custom indicators add an extra layer of validation to the signals generated by Trend_Prime_Master. By confirming that there is strong market participation and momentum behind a move, these indicators help ensure that traders are acting on signals supported by robust market activity.
Color-Changing Trend Line: This feature provides an easy-to-understand visual representation of the market's direction, changing color based on whether the market is in a bullish or bearish phase. It works in tandem with other components like EMAs and custom volume indicators to give traders a quick, comprehensive view of market conditions.
Settings
• Trading Style: Select the trading style that best suits your strategy (Short, Medium, Long, HTSpecial, Standard). This setting adjusts the parameters of the EMAs and other components to align with different timeframes, ensuring that the indicator is tuned to the specific market conditions you're trading in.
• Show Possible Signals: Toggle this setting to enable or disable the display of possible buy and sell signals. This allows traders to focus on confirmed signals or to see potential opportunities as they develop.
• Possible Signals Filter: If you wish to filter possible signals based on a higher timeframe trend, enable this option and select the appropriate higher timeframe. This helps ensure that the signals you act upon are in sync with broader market trends, reducing the risk of counter-trend trades.
Colors for Signals and Moving Averages:
• Customize the colors for bullish, bearish, and neutral signals, as well as for the various moving averages. This allows traders to personalize the visual aspects of the indicator, making it easier to interpret signals at a glance.
Trend Line Settings:
• Adaptive Line: Toggle to enable or disable the adaptive trend line, which adjusts dynamically based on market conditions. The line changes color to reflect the current trend direction, providing a quick visual cue.
• Short Trend Lines: Enable this option to display shorter-term trend lines. These lines help in identifying immediate market movements and can be particularly useful for short-term traders.
• Length and Smoothing: Adjust the length and smoothing parameters for the trend lines to fine-tune how responsive they are to price changes.
Point of Control (POC) Settings:
• Show POC Line: Toggle this setting to display the POC on your chart. The POC is a critical level where the most volume has been traded, and it often acts as a significant support or resistance level.
• POC Color and Width: Customize the color and width of the POC line to make it stand out or blend in with your other chart elements, depending on your preference.
Why It's Worth Paying For
Trend_Prime_Master provides several unique advantages that make it a valuable tool for traders:
Comprehensive Market Analysis: By integrating multiple technical analysis tools, Trend_Prime_Master provides a holistic view of market trends, helping you make more informed decisions.
Customization and Flexibility: The indicator’s settings can be easily adjusted to suit your trading style, whether you’re focusing on short-term trades or long-term investments.
Reliable Signal Generation: The multi-layered approach—combining EMAs, custom volume indicators, and trend lines—minimizes the likelihood of weak signals, enhancing your trading process.
Advanced Features: Features like multi-timeframe analysis, Heikin Ashi smoothing, and the color-changing trend line provide insights that are not typically found in other indicators, giving you a trading edge.
Enhanced Market Understanding: The ability to detect and act on changes in trend strength and momentum helps you develop a deeper understanding of market dynamics.
Consistency Across Markets: Trend_Prime_Master is designed to perform reliably across various market conditions, making it a versatile tool in any trading environment.
User-Friendly Interface: Despite its advanced capabilities, the indicator is easy to use, making it accessible to traders of all experience levels.
Ongoing Support and Updates: As a user of Trend_Prime_Master, you receive ongoing support and regular updates to keep the indicator effective and up-to-date with the latest market trends and techniques.
Risk Disclaimer
While Trend_Prime_Master is designed to deliver robust trading signals, it’s important to maintain realistic expectations:
Performance: The indicator is based on solid technical analysis principles, but it cannot predict the future or guarantee success. It should be used as part of a comprehensive trading strategy that includes effective risk management.
Signal Reliability: The signals generated are based on historical data and trends. While they are designed to be consistent with market conditions, they cannot guarantee future outcomes. Always be prepared for unexpected market changes.
Market Conditions: Trend_Prime_Master excels in trending markets but, like any tool, its effectiveness may vary in choppy or highly volatile conditions. Adjusting the settings and strategy according to the market environment is recommended.
How to Get Access
To gain access to Trend_Prime_Master, please send me a direct message on TradingView or use the provided link to request access. Ensure that access requests are made privately so the comments section can remain focused on discussions related to the script’s performance and use.
nPOC Levels by Tyler### Explanation of the Pine Script
This Pine Script identifies and displays weekly naked Points of Control (nPOCs) on a TradingView chart. An nPOC represents a Point of Control (POC) from a previous week that has not been revisited by price action in subsequent weeks. These nPOCs are extended to the right as horizontal lines, indicating potential support or resistance levels.
#### Script Overview
1. **Indicator Declaration:**
```pinescript
//@version=5
indicator("Weekly nPOCs", overlay=true)
```
- The script is defined as a version 5 Pine Script.
- The `indicator` function sets the script's name ("Weekly nPOCs") and specifies that the indicator should be overlaid on the price chart (`overlay=true`).
2. **Function to Calculate POC:**
```pinescript
f_poc(_hl2, _vol) =>
var float vol_profile = na
if (na(vol_profile))
vol_profile := array.new_float(100, 0.0)
_bin_size = (high - low) / 100
for i = 0 to 99
if _hl2 >= low + i * _bin_size and _hl2 < low + (i + 1) * _bin_size
array.set(vol_profile, i, array.get(vol_profile, i) + _vol)
max_volume = array.max(vol_profile)
poc_index = array.indexof(vol_profile, max_volume)
poc_price = low + poc_index * _bin_size + _bin_size / 2
poc_price
```
- The function `f_poc` calculates the Point of Control (POC) for a given period.
- It takes two parameters: `_hl2` (the average of the high and low prices) and `_vol` (volume).
- A volume profile array (`vol_profile`) is initialized to store volume data across different price bins.
- The price range between the high and low is divided into 100 bins (`_bin_size`).
- The function iterates over each bin, accumulating the volumes for prices within each bin.
- The bin with the maximum volume is identified as the POC (`poc_price`).
3. **Variables to Store Weekly Data:**
```pinescript
var float poc = na
var float prev_poc = na
var line poc_lines = na
if na(poc_lines)
poc_lines := array.new_line(0)
```
- `poc` stores the current week's POC.
- `prev_poc` stores the previous week's POC.
- `poc_lines` is an array to store lines representing nPOCs. The array is initialized if it is `na` (not initialized).
4. **Calculate Weekly POC:**
```pinescript
is_new_week = ta.change(time('W')) != 0
if (is_new_week)
prev_poc := poc
poc := f_poc(hl2, volume)
if not na(prev_poc)
line new_poc_line = line.new(x1=bar_index, y1=prev_poc, x2=bar_index + 100, y2=prev_poc, color=color.red, width=2)
label.new(x=bar_index, y=prev_poc, text="nPOC", style=label.style_label_down, color=color.red, textcolor=color.white)
array.push(poc_lines, new_poc_line)
```
- `is_new_week` checks if the current bar is the start of a new week using the `ta.change(time('W'))` function.
- If it's a new week, the previous week's POC is stored in `prev_poc`, and the current week's POC is calculated using `f_poc`.
- If `prev_poc` is not `na`, a new line (`new_poc_line`) representing the nPOC is created, extending it to the right (for 100 bars).
- A label is created at the `prev_poc` level, marking it as "nPOC".
- The new line is added to the `poc_lines` array.
5. **Remove Old Lines:**
```pinescript
if array.size(poc_lines) > 52
line.delete(array.shift(poc_lines))
```
- This section ensures that only the last 52 weeks of nPOCs are kept to avoid cluttering the chart.
- If the `poc_lines` array contains more than 52 lines, the oldest line is deleted using `array.shift`.
6. **Plot the Current Week's POC as a Reference:**
```pinescript
plot(poc, title="Current Weekly POC", color=color.blue, linewidth=2, style=plot.style_line)
```
- The current week's POC is plotted as a blue line on the chart for reference.
#### Summary
This script calculates and identifies weekly Points of Control (POCs) and marks them as nPOCs if they remain untouched by subsequent price action. These nPOCs are displayed as horizontal lines extending to the right, providing traders with potential support or resistance levels. The script also manages the number of lines plotted to maintain a clear and uncluttered chart.
Weighted Volume Profile Pivot Points | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Weighted Volume Profile Pivot Points (WVPPP) Indicator! This indicator renders a volume profile using the latest pivot points, automatically adjusting itself when new pivots occur. The pivoting mode can be switched between default pivot points and order blocks mode. It can be adjusted to give more weight to recent or past candlesticks, or can be used as a normal volume profile. For more information, please read the full write-up.
Features of the new Weighted Volume Profile Pivot Points (WVPPP) Indicator :
Renders Volume Profile Of The Range Between Latest Pivots
Two Pivoting Modes Including Order Blocks Mode
Adjustable Weighthing Towards Past or Recent
Customizable Row Count & Maximum Distance
Left or Right Alignment
More Styling Options
🚩UNIQUENESS
This indicator stands out with two key features. One is it's ability to weight volumes based on their distance to the current time. Giving weight to volumes may offer new trading opportunities to traders as they can now see the most recent Point Of Control (POC) or a more powerful but past POC based on their choice. Another key feature the indicator has is that it automatically finds latest valid pivot points, and uses that range for the volume profile. The range changes dynamically as new pivots points emerge. You can select between normal pivot points and order blocks mode. The indicator also has a variety of useful styling settings such as aligning the volume profile to the right or the left of the chart, POC Line styling and color settings for bullish & bearish volumes.
📌 HOW DOES IT WORK ?
A volume profile provides an in-depth look at trading activity over a period of time by plotting a histogram on the price axis. This indicator can also give weight to volumes based on their distance to the current time, essentially determining their importance for the profile. The range which the volume profile will cover is determined by the latest pivot points. Here is how it works step-by-step :
1. Determine how much candlesticks the volume profile will cover (Analyze Bars setting)
2. Find the latest pivot points. If the mode is set to "Pivots", the pivot points are the candlesticks which has the highest / lowest wick in X amount of bars (Swing Length setting). If the mode is set to "Order Blocks", the volume profile range is the area between the latest buyside order block and the sellside order block. Order blocks occur when there is a high amount of market orders exist on a price range. It is possible to find order blocks using specific candlestick formations on the chart. For more information about the order block detection, I suggest you checking the write-up of our "Volumized Order Blocks" script. Increasing the "Swing Length" setting is recommended when the mode is set to "Pivots", as this will help in finding stronger pivot points.
3. Make a range using the latest pivot points, then divide it into rows (Row Count setting)
4. Then for each candlestick, add it's volume to the corresponding row in the range. Note that the volume can be added into several rows if it overlaps with them all.
5. If the candlestick is a bullish candlestick, we add it's volume into the bullish volume of the row, if it's a bearish candlestick, we add it to the bearish volume of the row.
With the weighted volume mode, which is activated if "Volume Weighthing" setting is set to "Recent" or "Past", all volumes get a penalty based on their distance to the latest candletstick. For example, if the setting is set to "Recent", the latest candlestick contributes it's volume by 100% to the corresponding row, but the candlestick which is 50 candlesticks far from the current candlestick only contributes it's volume by ~17% to the row. The same applies to the "Past" setting, but in the reversed order, where past candlesticks have more priority than the current ones.
Volume contribution percent for "Recent" setting : ((100 * 0.85) / (i + 1)) + (100 * (1.0 - 0.85))
Volume contribution percent for "Past" setting : ((100 * 0.85) * ((i + 1) / N)) + (100 * (1.0 - 0.85))
Where i = candlestick index from right to left, N = total number of candlesticks analyzed by the volume profile.
The Point Of Control (POC) line is drawn from the row with the most total volume, and is generally considered as a strong level because a lot of trading volume happened on that particular row. Traders may use this line as a support & resistance level.
We believe that automatically ranging the volume profile to important pivot points will help traders see crucial volume information easier without unnecessary hassle. Traders can use this indicator to have an insight of areas which price moves quickly without much volume, or see areas that holds the price still for much longer and plan their trades accordingly.
⚙️SETTINGS
1. General Configuration
Mode -> The pivoting mode that is switchable between "Pivots" and "Order Blocks" as described in the write-up. Please read the upper section to understand how this setting works.
Analyze Bars -> Total amount of bars that will be analyzed by the indicator from right to left.
Row Count -> The amount of rows that will the vertical range between pivot points will be divided into.
Volume Weighting -> The volume weighting mode as explained in the write-up.
2. Style
Highlight Sessions -> The volume profile sessions will be highlighted with a blue tint. To prevent confusion, highlighting will not work if the alignment is set to "Right".
Align To -> The alignment of the volume profile.
Price-Volume Dynamic - Strategy [presentTrading]█ Introduction and How it is Different
The "Price-Volume Dynamic - Strategy" leverages a unique blend of price action, volume analysis, and statistical z-scores to establish trading positions. This approach differentiates itself by integrating the concept of the Point of Control (POC) from volume profile analysis with price-based z-score indicators to create a dynamic trading strategy. It tailors entry and exit thresholds based on current market volatility, providing a responsive and adaptive trading method. This strategy stands out by considering both historical volatility and price trends to adjust trading decisions in real-time, enhancing its effectiveness in various market conditions.
BTCUSD 4h LS Performance
█ Strategy: How It Works – Detailed Explanation
🔶 Calculating Point of Control (POC)
The Point of Control (POC) represents the price level with the highest traded volume over a specified lookback period. It's calculated by dividing the price range into a number of rows, each representing a price level. The volume at each price level is tallied and the level with the maximum volume is designated as the POC.
🔶 Dynamic Thresholds Adjustments
The entry and exit thresholds are dynamically adjusted based on normalized volatility, which is derived from the current, minimum, and maximum ATR over a specified period. This normalization ensures that the thresholds adapt to changes in market conditions, making the strategy sensitive to shifts in market volatility.
BTCUSD local performance
█ Trade Direction
The strategy can be configured to trade in three different directions: Long, Short, or Both. This flexibility allows traders to align their trading strategy with their market outlook or risk preferences. By adjusting the `POC_tradeDirection` input, traders can selectively participate in market movements that match their trading style and objectives.
█ Usage
To deploy this strategy, traders should apply it within a trading software that supports scripting and backtesting, such as TradingView's Pine Script environment. Users can input their parameters based on their analysis of the market conditions and their risk tolerance. It is essential for traders to backtest the strategy using historical data to evaluate its performance and make necessary adjustments before applying it in live trading scenarios.
█ Default Settings
- Lookback Length: Sets the period over which the highest and lowest prices, and the volume per price level, are calculated. A higher lookback length smoothens the volatility but may delay response to recent market movements.
- Number of Rows: Determines the granularity of price levels within the price range. More rows provide a more detailed volume profile but require more computational resources.
- Entry Z-Score Threshold Base: Influences the sensitivity of the strategy to enter trades. Higher values make the strategy more conservative, requiring stronger deviation from the mean to trigger a trade.
- Exit Z-Score Threshold Base: Sets the threshold for exiting trades, with lower values allowing trades to close on smaller price retractions, thereby potentially preserving profits or reducing losses.
- Trading Direction: Allows selection between Long, Short, or Both, enabling traders to tailor the strategy to their market view or risk preferences.
ATR Price Targets w/POC
ATR Price Targets with Point of Control (POC):
This script is designed to help traders identify key price target levels based on configurable multipliers of the the Average True Range (ATR) and the volume based Point of Control (POC). It is intended for intraday traders looking to capture significant price movements.
Features:
ATR Price Targets: The script calculates three levels of price targets above and below the first bar of the day, based on the ATR of the last 22 days (assuming 5-minute candles). These targets are adjustable through the settings, allowing traders to set their own ATR multipliers.
Point of Control (POC): The POC is determined as the price level of the highest volume bar since the start time, providing an indication of the most traded price within the specified period.
Customizable Start Time: Traders can set their desired start time for the calculation of price targets and POC, allowing for flexibility in aligning the indicator with their trading strategy.
Plot Lines: The ATR price targets are plotted as lines for easy visualization on the chart.
Usage:
The ATR price targets can be used as potential take-profit or stop-loss levels.
The POC can serve as a key level for assessing market sentiment and potential reversals.
Traders can adjust the ATR multipliers and start time based on their specific trading style and market conditions.
Settings:
ATR Price Targets 1, 2, 3: Adjust the multipliers for the ATR price targets. By default, these are set to 1*ATR for T1+/T1-, 3*ATR for T2+/T2- and ATR*6 for T3+/T3-. Adjust with caution as the price targets found in defaults have proven to be more accurate over intraday cycles for volatile stocks.
Start Hour & Start Minute: Set the starting hour and minute for the calculations. By default, these are set to the opening 5 minute intraday bar, but can also be set to the opening bar of pre-market hours.
MarketWebsWhat are the MarketWebs?
A technical system based on Auction Market Theory and Market Profiles using Volume, Time, and Price to determine a Technical Roadmap outlining significant support & resistance across Equities, Futures, Cryptos and Forex.
Volume at price (Market Profile) is a powerful way to look at the market. By comparing current price action to the action occurring during previous periods, we can more clearly see the strength or weakness in the current market. Marking and tracking previous periods also allow the trader to identify price levels the market “remembers”.
Uniquely, this script automatically identifies and labels:
Virgin Points of Control (VPOCs) derived from price action leaving behind overhead supply (or underneath demand). VPOCs help determine pivot / stabilization points and often act as magnets when the market is trending.
Price breakouts across multiple time frames based on Auction Market Theory.
Bullish or bearish 80% rules as price enters value. This rule is triggered when: the Value Area has not been fully explored, price has been trading outside of value, and price breaks into value.
Venom Lines which are pivot lines of support and resistance derived from the period’s value area.
When high volatility is expected after a price auction period of significantly suppressed volatility.
What do they show?
1) Value Areas
The MarketWebs calculate precise Value Areas based on the market profile built from the amount of volume traded and time spent at all price levels across a period and then shift them forward for reference in the next period. As a technique developed in the 1980’s OEX trading pit using the previous day’s price action for reference today, this script extrapolates that concept into daily, weekly, monthly, and yearly value areas to compare the current price action to.
This script automatically draws the value areas across multiple time frames, calculating the value areas for the applicable periods: Daily, Weekly, Monthly, and Yearly.
For instance, the Monthly Value Area is based on the previous trading month. When the market is “below value” the trend is weak and price is in an auction market looking to establish a new “value”. The same is true above value, the market is strong. Inside of value however, the market is ranging instead of trending.
By applying multiple copies of the script to the chart, it is possible to show multiple time frame value areas on the same chart.
2) VPOCs
Within every value area there is a price level at which the most activity occurred. This is called the “Point of Control” (POC). It is our belief that the POC inside of the value area doesn’t hold much significance for trading; however – when the market has moved into a new value area period, and the previous POC has been left “un-tested” it becomes a “Virgin Point of Control” (VPOC).
VPOCs are extremely significant levels to the market. As price moves away from them over time the market has a memory for these levels that it will not forget. When the market finally starts to trend towards a VPOC (for example, price is above value for the period, and there is a VPOC above) the level will act as a magnet, pulling the market towards it. More often than not, once the market “tags” this level, it will reverse (note: in strong volume moves or extreme price shocks, it may bust through multiple VPOCs before reversing direction)
3) 80% Rule
Another trading rule from the pit traders, the 80% rule states that if price has been trading outside of the previous value area before that value area has been fully explored, and price then breaks into value, there is an 80% chance that price will continue to the other side of value. This works in both directions, bullish and bearish. This script will highlight when the market has triggered an 80% Rule.
4) Venom Lines
Venom lines are pivot levels of support and resistance based on the calculated value areas. These are reference levels for how extreme the market’s move away from value is in the current period and often mark significant but somewhat weak levels of support and resistance. They are especially useful identifying price targets for stocks making new all time highs.
5) Expected High Volatility
Many traders monitor when price has been consolidating (with low volatility) for an extended period of time. This kind of price action makes abnormally “skinny” Value Areas which indicate that the market is primed for a large move (in any direction) during the following period. This script identifies periods of high volatility expected both in the current period or in the next period as its value area is established.
Setup and Preferences:
Be sure to have your TradingView charts set to “Scale price chart only,” otherwise the chart will try to fit all of the VPOCs and Venoms in your field of view when only the closest levels to current price action are really important.
* Be sure to read through any release notes as they may contain updates to the options depicted.
lib_profileLibrary "lib_profile"
a library with functions to calculate a volume profile for either a set of candles within the current chart, or a single candle from its lower timeframe security data. All you need is to feed the
method delete(this)
deletes this bucket's plot from the chart
Namespace types: Bucket
Parameters:
this (Bucket)
method delete(this)
Namespace types: Profile
Parameters:
this (Profile)
method delete(this)
Namespace types: Bucket
Parameters:
this (Bucket )
method delete(this)
Namespace types: Profile
Parameters:
this (Profile )
method update(this, top, bottom, value, fraction)
updates this bucket's data
Namespace types: Bucket
Parameters:
this (Bucket)
top (float)
bottom (float)
value (float)
fraction (float)
method update(this, tops, bottoms, values)
update this Profile's data (recalculates the whole profile and applies the result to this object) TODO optimisation to calculate this incremental to improve performance in realtime on high resolution
Namespace types: Profile
Parameters:
this (Profile)
tops (float ) : array of range top/high values (either from ltf or chart candles using history() function
bottoms (float ) : array of range bottom/low values (either from ltf or chart candles using history() function
values (float ) : array of range volume/1 values (either from ltf or chart candles using history() function (1s can be used for analysing candles in bucket/price range over time)
method tostring(this)
allows debug print of a bucket
Namespace types: Bucket
Parameters:
this (Bucket)
method draw(this, start_t, start_i, end_t, end_i, args, line_color)
allows drawing a line in a Profile, representing this bucket and it's value + it's value's fraction of the Profile total value
Namespace types: Bucket
Parameters:
this (Bucket)
start_t (int) : the time x coordinate of the line's left end (depends on the Profile box)
start_i (int) : the bar_index x coordinate of the line's left end (depends on the Profile box)
end_t (int) : the time x coordinate of the line's right end (depends on the Profile box)
end_i (int) : the bar_index x coordinate of the line's right end (depends on the Profile box)
args (LineArgs type from robbatt/lib_plot_objects/24) : the default arguments for the line style
line_color (color) : the color override for POC/VAH/VAL lines
method draw(this, forced_width)
draw all components of this Profile (Box, Background, Bucket lines, POC/VAH/VAL overlay levels and labels)
Namespace types: Profile
Parameters:
this (Profile)
forced_width (int) : allows to force width of the Profile Box, overrides the ProfileArgs.default_size and ProfileArgs.extend arguments (default: na)
method init(this)
Namespace types: ProfileArgs
Parameters:
this (ProfileArgs)
method init(this)
Namespace types: Profile
Parameters:
this (Profile)
profile(tops, bottoms, values, resolution, vah_pc, val_pc, bucket_buffer)
split a chart/parent bar into 'resolution' sections, figure out in which section the most volume/time was spent, by analysing a given set of (intra)bars' top/bottom/volume values. Then return price center of the bin with the highest volume, essentially marking the point of control / highest volume (poc) in the chart/parent bar.
Parameters:
tops (float ) : array of range top/high values (either from ltf or chart candles using history() function
bottoms (float ) : array of range bottom/low values (either from ltf or chart candles using history() function
values (float ) : array of range volume/1 values (either from ltf or chart candles using history() function (1s can be used for analysing candles in bucket/price range over time)
resolution (int) : amount of buckets/price ranges to sort the candle data into (analyse how much volume / time was spent in a certain bucket/price range) (default: 25)
vah_pc (float) : a threshold percentage (of values' total) for the top end of the value area (default: 80)
val_pc (float) : a threshold percentage (of values' total) for the bottom end of the value area (default: 20)
bucket_buffer (Bucket ) : optional buffer of empty Buckets to fill, if omitted a new one is created and returned. The buffer length must match the resolution
Returns: poc (price level), vah (price level), val (price level), poc_index (idx in buckets), vah_index (idx in buckets), val_index (idx in buckets), buckets (filled buffer or new)
create_profile(start_idx, tops, bottoms, values, resolution, vah_pc, val_pc, args)
split a chart/parent bar into 'resolution' sections, figure out in which section the most volume/time was spent, by analysing a given set of (intra)bars' top/bottom/volume values. Then return price center of the bin with the highest volume, essentially marking the point of control / highest volume (poc) in the chart/parent bar.
Parameters:
start_idx (int) : the bar_index at which the Profile should start drawing
tops (float ) : array of range top/high values (either from ltf or chart candles using history() function
bottoms (float ) : array of range bottom/low values (either from ltf or chart candles using history() function
values (float ) : array of range volume/1 values (either from ltf or chart candles using history() function (1s can be used for analysing candles in bucket/price range over time)
resolution (int) : amount of buckets/price ranges to sort the candle data into (analyse how much volume / time was spent in a certain bucket/price range) (default: 25)
vah_pc (float) : a threshold percentage (of values' total) for the top end of the value area (default: 80)
val_pc (float) : a threshold percentage (of values' total) for the bottom end of the value area (default: 20)
args (ProfileArgs)
Returns: poc (price level), vah (price level), val (price level), poc_index (idx in buckets), vah_index (idx in buckets), val_index (idx in buckets), buckets (filled buffer or new)
history(src, len, offset)
allows fetching an array of values from the history series with offset from current candle
Parameters:
src (int)
len (int)
offset (int)
history(src, len, offset)
allows fetching an array of values from the history series with offset from current candle
Parameters:
src (float)
len (int)
offset (int)
history(src, len, offset)
allows fetching an array of values from the history series with offset from current candle
Parameters:
src (bool)
len (int)
offset (int)
history(src, len, offset)
allows fetching an array of values from the history series with offset from current candle
Parameters:
src (string)
len (int)
offset (int)
Bucket
Fields:
idx (series int) : the index of this Bucket within the Profile starting with 0 for the lowest Bucket at the bottom of the Profile
value (series float) : the value of this Bucket, can be volume or time, for using time pass and array of 1s to the update function
top (series float) : the top of this Bucket's price range (for calculation)
btm (series float) : the bottom of this Bucket's price range (for calculation)
center (series float) : the center of this Bucket's price range (for plotting)
fraction (series float) : the fraction this Bucket's value is compared to the total of the Profile
plot_bucket_line (Line type from robbatt/lib_plot_objects/24) : the line that resembles this bucket and it's valeu in the Profile
ProfileArgs
Fields:
show_poc (series bool) : whether to plot a POC line across the Profile Box (default: true)
show_profile (series bool) : whether to plot a line for each Bucket in the Profile Box, indicating the value per Bucket (Price range), e.g. volume that occured in a certain time and price range (default: false)
show_va (series bool) : whether to plot a VAH/VAL line across the Profile Box (default: false)
show_va_fill (series bool) : whether to fill the 'value' area between VAH/VAL line (default: false)
show_background (series bool) : whether to fill the Profile Box with a background color (default: false)
show_labels (series bool) : whether to add labels to the right end of the POC/VAH/VAL line (default: false)
show_price_levels (series bool) : whether add price values to the labels to the right end of the POC/VAH/VAL line (default: false)
extend (series bool) : whether extend the Profile Box to the current candle (default: false)
default_size (series int) : the default min. width of the Profile Box (default: 30)
args_poc_line (LineArgs type from robbatt/lib_plot_objects/24) : arguments for the poc line plot
args_va_line (LineArgs type from robbatt/lib_plot_objects/24) : arguments for the va line plot
args_poc_label (LabelArgs type from robbatt/lib_plot_objects/24) : arguments for the poc label plot
args_va_label (LabelArgs type from robbatt/lib_plot_objects/24) : arguments for the va label plot
args_profile_line (LineArgs type from robbatt/lib_plot_objects/24) : arguments for the Bucket line plots
args_profile_bg (BoxArgs type from robbatt/lib_plot_objects/24)
va_fill_color (series color) : color for the va area fill plot
Profile
Fields:
start (series int) : left x coordinate for the Profile Box
end (series int) : right x coordinate for the Profile Box
resolution (series int) : the amount of buckets/price ranges the Profile will dissect the data into
vah_threshold_pc (series float) : the percentage of the total data value to mark the upper threshold for the main value area
val_threshold_pc (series float) : the percentage of the total data value to mark the lower threshold for the main value area
args (ProfileArgs) : the style arguments for the Profile Box
h (series float) : the highest price of the data
l (series float) : the lowest price of the data
total (series float) : the total data value (e.g. volume of all candles, or just one each to analyse candle distribution over time)
buckets (Bucket ) : the Bucket objects holding the data for each price range bucket
poc_bucket_index (series int) : the Bucket index in buckets, that holds the poc Bucket
vah_bucket_index (series int) : the Bucket index in buckets, that holds the vah Bucket
val_bucket_index (series int) : the Bucket index in buckets, that holds the val Bucket
poc (series float) : the according price level marking the Point Of Control
vah (series float) : the according price level marking the Value Area High
val (series float) : the according price level marking the Value Area Low
plot_poc (Line type from robbatt/lib_plot_objects/24)
plot_vah (Line type from robbatt/lib_plot_objects/24)
plot_val (Line type from robbatt/lib_plot_objects/24)
plot_poc_label (Label type from robbatt/lib_plot_objects/24)
plot_vah_label (Label type from robbatt/lib_plot_objects/24)
plot_val_label (Label type from robbatt/lib_plot_objects/24)
plot_va_fill (LineFill type from robbatt/lib_plot_objects/24)
plot_profile_bg (Box type from robbatt/lib_plot_objects/24)
Alpha Cloud Algo 2.0 Bybit SpecialAlpha Cloud Algo 2.0 Bybit Special Version
Sürüm Notları:
I'm excited to introduce 'Alpha Cloud Algo Version 2' to you! This advanced technical analysis indicator helps you evaluate market trends and potential trading signals. Here are the current features of Alpha Cloud Algo:
1️⃣ 📈 Technical Indicators: The Technical Indicators table in version 1.3 of the indicator has been completely rewritten and enhanced. We have integrated several indicators such as Trend indicator with my custom Ichimoku settings, PDPOC (Previous Day's Point Of Control), PWPOC (Previous Week's Point of Control), RSI, Stoch, MACD, VWAP, and Volume Bars. With this update, you can visualize market trends and trading signals more effectively.
2️⃣ ⏰ Multi-Timeframe Support: With Alpha Cloud Algo V.II, we offer the ability to use support and resistance levels of the Clouds across multiple timeframes. This feature allows for more comprehensive analysis and helps you make accurate decisions.
3️⃣ 💭 SR Channels: The SR Channels indicator, used to determine support and resistance levels, has been integrated into Alpha Cloud Algo 2. This special indicator analyzes price movements, identifies important levels, and displays them in the form of channels on the chart. You can view support and resistance levels from any timeframe on the chart and also in tabular form.
4️⃣ ☁️ Trend Cloud Indicator: Alpha Cloud Algo 2 utilizes trend clouds to determine the direction and strength of the trend. It provides multiple layers of trend clouds, each representing a different timeframe. With this customized indicator, you can understand trends more clearly and analyze price movements effectively.
5️⃣ ➿ Auto Fibonacci: The latest feature of Alpha Cloud Algo includes automatic Fibonacci drawing. The indicator automatically plots potential support and resistance levels using specific ratios (such as 0, 0.382, 0.618, 0.886, and 1). You can adjust these ratios as desired.
Alpha Cloud Algo combines the power of technical analysis tools to help you better assess opportunities in the market. You can use Alpha Cloud Algo to enhance your trading strategies and make more informed decisions.
Using Alpha Cloud Algo is also very user-friendly. You can analyze using technical indicators, multi-timeframe support, SR channels, and automatic Fibonacci drawing to identify trends and evaluate trading signals. This provides you with a better trading experience and can increase your profitability.
To use Alpha Cloud Algo, you need to create an account on Tradingview and complete the Alpha Cloud Algo membership process. This way, you have the freedom to trade on any device, anytime, and anywhere.
Alpha Cloud Algo performs analyses using up-to-date and accurate market data, and presents you with the latest trading opportunities. Its user-friendly interface enables you to perform quick and easy analyses as desired.
Take technical analysis to the next level with Alpha Cloud Algo and make more successful trading decisions.
Turkish Translate ;
‘Alpha Cloud Algo Versiyon 2’yi size tanıtmaktan mutluluk duyuyorum! Bu gelişmiş teknik analiz indikatörü, piyasa trendlerini ve olası ticaret sinyallerini değerlendirmenize yardımcı olur. İşte Alpha Cloud Algo'nun güncel özellikleri:
1️⃣ 📈 Teknik Göstergeler: İndikatörün 1.3 versiyonundaki Teknik Göstergeler tablosu tamamen yeniden yazıldı ve geliştirildi. Benim özel Ichimoku ayarlarımda Trend göstergesini, PDPOC (Bir önceki günün Point Of Control bölgesi), PWPOC (Bir önceki haftanın Point of Control Bölgesi), RSI, Stoch, MACD, VWAP ve Volume Barları gibi birçok göstergeyi entegre ettik. Bu güncelleme sayesinde piyasa trendlerini ve ticaret sinyallerini daha iyi görselleştirebilirsiniz.
2️⃣ ⏰ Çoklu Zaman Dilimi Desteği: Alpha Cloud Algo V.II ile birlikte, Bulutların destek ve direnç seviyelerini birden çok zaman diliminde kullanabilme imkanı sunuyoruz. Bu özellik sayesinde daha kapsamlı bir analiz yapabilir ve doğru kararlar alabilirsiniz.
3️⃣ 💭 SR Kanalları: Destek ve direnç seviyelerini belirlemek için kullanılan SR Kanalları indikatörü, Alpha Cloud Algo 2 ile entegre hale getirildi. Bu özel gösterge, fiyat hareketlerini analiz ederek önemli seviyeleri tespit eder ve bunları kanallar halinde gösterir. Çoklu zaman diliminde baktığınız grafiğe istediğiniz zaman dilimindeki destek ve direnç seviyelerini hem grafik üzerinde görüntüleyebilir hem de tablo şeklinde görebilirsiniz.
4️⃣ ☁️ Trend Bulutu Göstergesi: Alpha Cloud Algo 2, trendin yönünü ve gücünü belirlemek için trend bulutlarını kullanır. Birden fazla trend bulutu katmanı sunar ve her katman farklı bir zaman dilimini temsil eder. Bu özelleştirilmiş gösterge sayesinde trendi daha net bir şekilde anlayabilir ve fiyat hareketlerini analiz edebilirsiniz.
5️⃣ ➿ Otomatik Fibonacci: Alpha Cloud Algo'nun en yeni özelliği, otomatik Fibonacci çizimini içerir. İndikatör, belirli oranları (0, 0.382, 0.618, 0.886 ve 1 gibi) kullanarak potansiyel destek ve direnç seviyelerini otomatik olarak çizer. Bu oranları isteğe bağlı olarak ayarlayabilirsiniz.
Alpha Cloud Algo, teknik analiz araçlarının gücünü bir araya getirerek, piyasadaki fırsatları daha iyi değerlendirmenizi sağlar. Ticaret stratejilerinizi geliştirmek ve kararlarınızı daha bilinçli bir şekilde vermek için Alpha Cloud Algo'yu kullanabilirsiniz.
Alpha Cloud Algo'nun kullanımı da oldukça kolaydır. Teknik göstergeleri, çoklu zaman dilimi desteğini, SR kanallarını ve otomatik Fibonacci çizimini kullanarak analiz yapabilir, trendleri belirleyebilir ve ticaret sinyallerini değerlendirebilirsiniz. Bu da size daha iyi bir ticaret deneyimi sunar ve karlılığınızı artırabilir.
Alpha Cloud Algo'yu kullanmak için Tradingview'da bir hesap oluşturmanız ve Alpha Cloud Algo üyelik işlemini tamamlamanız gerekmektedir. Böylece herhangi bir cihazda, istediğiniz zaman ve herhangi bir yerde ticaret yapabilme özgürlüğüne sahip olursunuz.
Alpha Cloud Algo, güncel ve doğru piyasa verilerini kullanarak analizler yapar ve size en güncel ticaret fırsatlarını sunar. Ayrıca, kullanıcı dostu arayüzü sayesinde hızlı ve kolay bir şekilde istediğiniz analizi yapmanızı sağlar.
Alpha Cloud Algo ile teknik analizi bir adım öteye taşıyın ve daha başarılı ticaret kararları alın.
TwV Market SignalsSignals Indicator
Summary
This indicator allows traders to have in handy short and long signals and estimate the trend of the market.
The indicator draws Long and Short signals depending on the trend analysis. The indicators also use meaningful colors for traders to be able to visually understand the graphs, such us fillings on EMAs, so the possible trend is represented.
The colors used are light green for bullish, red for bearish, dark green for possible bearish to bullish change and purple for possible bullish to bearish change. These colors are applicable to all fillings and summary box.
How to use this indicator
The use of EMAs 10,20 and 50 draw the medium to long term trends, therefore avoiding signals against the trend. Furthermore the EMAs will advise possible change in trends, specially considering the 10 and 20 cross, considering that crossing the 10,20 and 50, might confirm the change in med to long term trend change of the price. This is completely visual in the chart as it tints green for positive trend and yellow to red for negative trend.
The 200 SMA is included as it also gives better confirmation to the trend, the basics tell that when the EMAs mentioned above are below the 200 SMA then the likelihood for entries in long positions are not the best and vice versa for short.
Therefore, the trader shall filter Long and Short Signals accordingly as this EMAs are not used to send Long and Short signals considering that they confirm the trend in a slow pace and not reactively to the price volatility.
There are two strategies built-in within the indicator:
Strategy 1 – Longer time trades and high volatility handling
The Long and Short Signals are based on 14 and EMAs (by default). This two Mas are used to send signals based on their crossovers as they are way more reactive to the price movement.
Trader shall consider that EMAs are used for higher timeframes, therefore the indicator has the possibility to adjust the EMAs and use SMAs or WMAs instead for one or the two parameters (14 and 21).
WMAs react faster to the price volatility so the trader shall adjust this according to the timeframe being used. (Lower timeframes suggested).
This strategy is used for trades that might keep running for longer periods of times.
For reference on what the SMAs, EMAs and WMAs are, please see below sections in the description.
Strategy 2 - Shorter time trades and unhandled high volatility
The Long and Short Signals are bases on HMA. HMAs (Hull Moving Averages) track the price movement and volatility way faster that SMAs, EMAs and WMAs, therefore as the HMA follow the price quicker, it is intended for short time trades even in higher timeframes.
Scalping is not suggested using this strategy as HMA do not handle high volatility even on higher timeframes.
One of the biggest differences from the first strategy is that there is no more than a single HMA length to work with, which is 24 as default.
HMAs calculation is different to other MAs, therefore combining various HMAs lengths looking for crossovers become trend identification a lot less precise. HMAs are not intended to be used with different length crossovers.
Exit points = The use of Stochastic and VRVP
Stochastic RSI
It is well known that when Stochastic RSI resets when overbought or oversold therefore traders have within a summary box the possibility to check whether the K & D lines in the Stochastic RSI hace crossed over bullish or bearish.
Although the crossover is not mandatory for a change trend, the crossover might be used by the trader to exit a position considering that the price might move on the opposite direction.
Traders shall look at the summary box, where bullish and bearish crossovers are shown, so they evaluate their position exit.
Visible Range Volume Profile
The use of the VRVP is to find support and resistance on the price movements. Although high and lows are used as possible supports and resistances, VRVP shows an area of confluence on the order book, where volume of positions are accumulated and that might act as support or resistance depending on the price direction.
Traders can visually activate the VRVP to see the Point of Control (POC) directly on the chart as a line (similar as how a support or resistance would be drawn). Moreover, traders have the ability to see within the summary box, whether to see if the price is above or below the POC, so they clearly know if it is acting as support or resistance.
Price Direction
Trade the market trend is well know to be used to identify possible price direction. It is important not to confuse the longer time trend drawn by the EMAs with the TTM Trend bar color. The TTM trend colors bars according to the price direction, helping traders not to confuse when a red bar appears on an up trend or green bars on a down trend.
This coloring helps traders not to exit trades based on bar coloring, which might psychologically affect when scalping or short-term trading specially.
Originally, the TTM trend is used considering the ADX in and indicator called TTM Squeeze, where the strength of the movement is measured, therefore although candle colors help with the price direction, ADX provides the trader the ability to see whether the direction is losing momentum and then catch the best possible exit before the direction change.
How to use Summary
1. Receive the Long or Short Signals using strategy 1 or 2, depending on the selected in the main menu of the indicator.
2. Evaluate the trend based on the 10,20, 50 and 200 MAs. Filter the Long and Short signals accordingly.
3. Monitor constantly the TTM Trend and the ADX for the direction and strength of the position entered and review if the momentum is being lost, considering step 4 or other possible reasons that might lead to exiting the position.
4. Once entered to a position evaluate constantly the Stochastic RSI bearish or bullish crossover or POC value on screen or summary box to exit the position.
Terminology basics
Trend indicators
Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 10, 20 and 55 exponential periods, to determine a possible bullish or bearish trend (EMA Crossing)
Simple Moving Average (SMA): The base indicator is composed of a moving average of 200 simple periods, which in conjunction with the EMAs can lead to estimate potential upward or downwards moves, as well as possible resistances. (SMA Positioning)
Weighted moving average (WMA): It is a technical indicator that traders use to generate trade direction and make a long or short position. It assigns greater weighting to recent data points and less weighting on past data points. (WMA Crossing)
Strength and S/R indicators
VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. The POC level is represented with a red dotted line in the graph.
The VPVR is a simplified version of the “TwV Multi-timeframe Dynamic VRVP” that you can find for free use in my profile. This version calculates the main’s timeframe POC and also has the possibility to be fixed range if the trader enables it from the menu. (Dynamic range by default).
ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend strength. This is represented as summary text in a table.
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Exit indicator
Stochastic RSI: It is an indicator used in technical analysis that ranges between zero and a hundred and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold (Exit zones)
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Summary Panel
This panel allows the trader to have a summary of the current status (bearish or bullish) of some of the most determinant indicators within the strategy. It has the following characteristics:
It is placed on the right bottom side of the chart by the default. Traders can change its position or hidden it through the main menu of the indicator.
Its colors change according to the indicator’s values and constant change for easier detection.
The summary box shows the projection for each of the indicators (Trend, Stochastic, EMA, VPVR and ADX).
The summary box is multi-language (English and Spanish), which can be changes in the main menu of the indicator
Alerts
Within the indicator’s menu, you can set up alerts for all long, short, close long and close short signals, which might come in handy when the trader would like to have notifications on the Trading View website, desktop app or phone apps. Furthermore, there are also signals for possible exit points, which can also be activated from the indicator’s menu.
Market sessions and Volume profile - By LeviathanThis script allows you to keep track of Forex market sessions (Tokyo, London and New York), as well as Daily, Weekly and Monthly sessions. All of them are accompanied by Volume Profile options where you can view VP Histogram, Point of Control, Value Area High and Value Area Low.
Colors, lines and other design preferences are fully customizable.
* Volume Profile of shorter sessions (eg. Tokyo, London, New York) works better when using lower timeframes such as 15min, 5min, etc.
** Use timeframe higher than 15min when viewing Monthly sessions
Indicator settings overview:
SESSION TYPE
- Tokyo session (1:00 - 9:00 UTC/ GMT )
- London session (7:00 - 16:00 UTC/ GMT )
- New York session (13:00 - 22:00 UTC/ GMT )
- Daily session
- Weekly session
- Monthly session
DISPLAY
- Show Volume Profile (Show or hide Volume Profile histogram)
- Show POC (Show or hide Point Of Control line)
- Show VAL (Show or hide Value Area Low line)
- Show VAH (Show or hide Value Area High line)
- Show Live Zone (Show or hide the ongoing session)
VOLUME PROFILE SETTINGS
- Resolution (The higher the value, the more refined of a profile, but less profiles are shown on the chart)
- Smooth Volume Data (Useful for assets that have very large spikes in volume over large bars, helps create better profiles)
APPEARANCE
- Up Volume color (Pick a custom color for up/ bullish volume profile nodes)
- Down Volume color (Pick a custom color for down/ bearish volume profile nodes)
- POC color and thickness (Pick a custom color and thickness for Point Of Control line)
- VAH color and thickness (Pick a custom color and thickness for Value Area High line)
- VAL color and thickness (Pick a custom color and thickness for Value Area Low line)
- Session box thickness (Pick a custom thickness for the session box. Color is provided automatically with optimal contrast)
** Some VP elements are inspired by @LonesomeTheBlue's volume profile script
Trading Ideas - Chart Champions Value - Points of Interest Trading Ideas is based on having visual Points of Interest.
The indicator displays:
- dOpen : Daily Open
- dPOC: Developing Point of Control
- pdPOC : Previous Day Point of Control
- dbyPOC : Day Before Yesterday Point of Control
Initial Balance (High, low, mid points for the first hour (UTC 0000)
- IB High : Initial Balance High
- IB Mid : Initial Balance Middle
- IB Low : Initial Balance Low
Chart Champions Value ( CCV ) is based on Daniel - Chart Champions theory explained in his educational videos.
That if the previous day is a range day and price action (PA) closes:
Above the previous days Value Area High (pdVAH) then there is an 80% chance of it retracing back to previous days Value Area Low (pdVAL)
Below the previous days Value Area Low (pdVAL) then there is an 80% chance of it going back up to the previous days Value Area High (pdVAH)
The CCV check can be ticked on and off for a quick visual to see if the setup could potentially be in play (if green then CCV could be play for that day).
Settings/Configuration
The calculated Value Area (VA) can be amended.
It is recommend to change the resolution to that of your symbol. For example BTC resolution 1, XRP resolution 0.00001.
As seen below having key Points of Interest can make you think twice before going into a trade:
My thanks go to:
ahancock for allowing usage of his script.
AnyDozer and Bjorn Mistiaen on Stack Overflow for all their assistance.
Any feedback will be gratefully received.
Volume Profile Free Ultra SLI (100 Levels Value Area VWAP) - RRBVolume Profile Free Ultra SLI by RagingRocketBull 2019
Version 1.0
This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 100 horizontal bars.
This is basically the MAX SLI version with +50 more Pinescript v4 line objects added as levels.
It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels.
Free accounts can't access Standard TradingView Volume Profile, hence this indicator.
There are several versions: Free Pro, Free MAX SLI, Free Ultra SLI, Free History. This is the Free Ultra SLI version. The Differences are listed below:
- Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming
- Free MAX SLI: 50 levels, 2x SLI modes for Buy/Sell or even higher res 150 levels
- Free Ultra SLI: 100 levels, packed to the limit, 2x SLI modes for Buy/Sell or even higher res 300 levels
- Free History: auto highest/lowest, historic poc/va levels for each session
Features:
- High-Res Volume Profile with up to 100 levels (line implementation)
- 2x SLI modes for even higher res: 300 levels with 3x vertical SLI, 100 buy/sell levels with 2x horiz SLI
- Calculate Volume Profile on full history
- POC, Developing POC Levels
- Buy/Sell/Total volume modes
- Side Cover
- Value Area, VAH/VAL dynamic levels
- VWAP High/Low dynamic levels with Source, Length, StdDev as params
- Show/Hide all levels
- Dim Non Value Area Zones
- Custom Range with Highlighting
- 3 Anchor points for Volume Profile
- Flip Levels Horizontally
- Adjustable width, offset and spacing of levels
- Custom Color for POC/VA/VWAP levels, Transparency for buy/sell levels
WARNING:
- Compilation Time: 1 min 20 sec
Usage:
- specify max_level/min_level/spacing (required)
- select range (start_bar, range length), confirm with range highlighting
- select volume type: Buy/Sell/Total
- select mode Value Area/VWAP to show corresponding levels
- flip/select anchor point to position the buy/sell levels
- use Horiz Buy/Sell SLI mode with 100 or Vertical SLI with 300 levels if needed
- use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day.
SLI:
use SLI modes to extend the functionality of the indicator:
- Horiz Buy/Sell 2x SLI lets you view 100 Buy/Sell Levels at the same time
- Vertical Max_Vol 3x SLI lets you increase the resolution to 300 levels
- you need at least 2 instances of the indicator attached to the same chart for SLI to work
1) Enable Horiz SLI:
- attach 2 indicator instances to the chart
- make sure all instances have the same min_level/max_level/range/spacing settings
- select volume type for each instance: you can have a buy/sell or buy/total or sell/total SLI. Make sure your buy volume instance is the last attached to be displayed on top of sell/total instances without overlapping.
- set buy_sell_sli_mode to true for indicator instances with volume_type = buy/sell, for type total this is optional.
- this basically tells the script to calculate % lengths based on total volume instead of individual buy/sell volumes and use ext offset for sell levels
- Sell Offset is calculated relative to Buy Offset to stack/extend sell after buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length
- there are no master/slave instances in this mode, all indicators are equal, poc/va levels are not affected and can work independently, i.e. one instance can show va levels, another - vwap.
2) Enable Vertical SLI:
- attach the first instance and evaluate the full range to roughly determine where is the highest max_vol/poc level i.e. 0..20000, poc is in the bottom half (third, middle etc) or
- add more instances and split the full vertical range between them, i.e. set min_level/max_level of each corresponding instance to 0..10000, 10000..20000 etc
- make sure all instances have the same range/spacing settings
- an instance with a subrange containing the poc level of the full range is now your master instance (bottom half). All other instances are slaves, their levels will be calculated based on the max_vol/poc of the master instance instead of local values
- set show_max_vol_sli to true for the master instance. for slave instances this is optional and can be used to check if master/slave max_vol values match and slave can read the master's value. This simply plots the max_vol value
- you can also attach all instances and set show_max_vol_sli to true in all of them - the instance with the largest max_vol should become the master
Auto/Manual Ext Max_Vol Modes:
- for auto vertical max_vol SLI mode set max_vol_sli_src in all slave instances to the max_vol of the master indicator: "VolumeProfileFree_MAX_RRB: Max Volume for Vertical SLI Mode". It can be tricky with 2+ instances
- in case auto SLI mode doesn't work - assign max_vol_sli_ext in all slave instances the max_vol value of the master indicator manually and repeat on each change
- manual override max_vol_sli_ext has higher priority than auto max_vol_sli_src when both values are assigned, when they are 0 and close respectively - SLI is disabled
- master/slave max_vol values must match on each bar at all times to maintain proper level scale, otherwise slave's levels will look larger than they should relative to the master's levels.
- Max_vol (red) is the last param in the long list of indicator outputs
- the only true max_vol/poc in this SLI mode is the master's max_vol/poc. All poc/va levels in slaves will be irrelevant and are disabled automatically. Slaves can only show VWAP levels.
- VA Levels of the master instance in this SLI mode are calculated based on the subrange, not the whole range and may be inaccurate. Cross check with the full range.
WARNING!
- auto mode max_vol_sli_src is experimental and may not work as expected
- you can only assign auto mode max_vol_sli_src = max_vol once due to some bug with unhandled exception/buffer overflow in Tradingview. Seems that you can clear the value only by removing the indicator instance
- sometimes you may see a "study in error state" error when attempting to set it back to close. Remove indicator/Reload chart and start from scratch
- volume profile may not finish to redraw and freeze in an ugly shape after an UI parameter change when max_vol_sli_src is assigned a max_vol value. Assign it to close - VP should redraw properly, but it may not clear the assigned max_vol value
- you can't seem to be able to assign a proper auto max_vol value to the 3rd slave instance
- 2x Vertical SLI works and tested in both auto/manual, 3x SLI - only manual seems to work (you can have a mixed mode: 2nd instance - auto, 3rd - manual)
Notes:
- This code uses Pinescript v3 compatibility framework
- This code is 20x-30x faster (main for cycle is removed) especially on lower tfs with long history - only 4-5 sec load/redraw time vs 30-60 sec of the old Pro versions
- Instead of repeatedly calculating the total sum of volumes for the whole range on each bar, vol sums are now increased on each bar and passed to the next in the range making it a per range vs per bar calculation that reduces time dramatically
- 100 levels consist of 50 main plot levels and 50 line objects used as alternate levels, differences are:
- line objects are always shown on top of other objects, such as plot levels, zero line and side cover, it's not possible to cover/move them below.
- all line objects have variable lengths, use actual x,y coords and don't need side cover, while all plot levels have a fixed length of 100 bars, use offset and require cover.
- all key properties of line objects, such as x,y coords, color can be modified, objects can be moved/deleted, while this is not possible for static plot levels.
- large width values cause line objects to expand only up/down from center while their length remains the same and stays within the level's start/end points similar to an area style.
- large width values make plot levels expand in all directions (both h/v), beyond level start/end points, sometimes overlapping zero line, making them an inaccurate % length representation, as opposed to line objects/plot levels with area style.
- large width values translate into different widths on screen for line objects and plot levels.
- you can't compensate for this unwanted horiz width expansion of plot levels because width uses its own units, that don't translate into bars/pixels.
- line objects are visible only when num_levels > 50, plot levels are used otherwise
- Since line objects are lines, plot levels also use style line because other style implementations will break the symmetry/spacing between levels.
- if you don't see a volume profile check range settings: min_level/max_level and spacing, set spacing to 0 (or adjust accordingly based on the symbol's precision, i.e. 0.00001)
- you can view either of Buy/Sell/Total volumes, but you can't display Buy/Sell levels at the same time using a single instance (this would 2x reduce the number of levels). Use 2 indicator instances in horiz buy/sell sli mode for that.
- Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed length. Offsets control visible level parts. Side Cover hides the invisible parts.
- Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option
- Custom Width - UI Style supports only width <= 4, hence this additional option
- POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs
- You can't change buy/sell level colors from input (only transparency) - this requires 2x plot outputs => 2x reduces the number of levels to fit the max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones
- You can change level transparency of line objects. Due to Pinescript limitations, only discrete values are supported.
- Inverse transp correlation creates the necessary illusion of "covered" line objects, although they are shown on top of the cover all the time
- If custom lines_transp is set the illusion will break because transp range can't be skewed easily (i.e. transp 0..100 is always mapped to 100..0 and can't be mapped to 50..0)
- transparency can applied to lines dynamically but nva top zone can't be completely removed because plot/mixed type of levels are still used when num_levels < 50 and require cover
- transparency can't be applied to plot levels dynamically from script this can be done only once from UI, and you can't change plot color for the past length bars
- All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input to change it
- Range selection/Anchoring is not accurate on charts with time gaps since you can only anchor from a point in the future and measure distance in time periods, not actual bars, and there's no way of knowing the number of future gaps in advance.
- Adjust Width for Log Scale mode now also works on high precision charts with small prices (i.e. 0.00001)
- in Adjust Width for Log Scale mode Level1 width extremes can be capped using max deviation (when level1 = 0, shift = 0 width becomes infinite)
- There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume
P.S. I am your grandfather, Luke! Now, join the Dark Side in your father's steps or be destroyed! Once more the Sith will rule the Galaxy, and we shall have peace...
Dynamic Volume Profile v2 (Up To 60 Channels)Dynamic Volume Profile (DVP) is an advanced charting study that displays trading activity over a specified time period at specified price levels dynamically.
DVP typically based on price and volume information and it combines these factors in a way that displays price, volume and time frame on a single chart dynamically. You can gather a multitude of information with a glance.
The first thing that most traders will use dynamic volume profile for is identifying basic support and resistance levels. It is important to note that using Dynamic Volume Profile as an identifier for support and resistance levels is a reactive method.
Point of Control ( PoC ): It refers to the area in the chart with the most traded volume activity. This is by far the most relevant area you want to monitor as it can help to define the placement of your stops or the areas in the chart where you might find the most pristine entry levels. The highest concentrated area of volume for a particular period of time we will call it PoC or Point of Control and you will be surprised how many times it acts as a wall on a retest. Traders tend to factor this in as an area of support or resistance.
Value Area ( VA ): The range of price levels in which a specified percentage of all volume was traded. By default, the industry standards tends to be 70%.
Value Area High ( VAH ) – The highest price level within the value area.
Value Area Low ( VAL ) – The lowest price level within the value area.
The script creates up to 60 channels according to highest/lowest levels for specified time period and finds the total volume for each channel. Then it calculates Point of Control, Value area and VAH/VAL. the script shows POC channel and Value Area, and you can see VAH/VAL ve all channels optionally.
In this version, number of channels can be changed up to 60 optionally by user
If you find my works useful, please consider a donation
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Dynamic Volume Profile [LTB]Dynamic Volume Profile (DVP) is an advanced charting study that displays trading activity over a specified time period at specified price levels dynamically.
DVP typically based on price and volume information and it combines these factors in a way that displays price, volume and time frame on a single chart dynamically. You can gather a multitude of information with a glance.
The first thing that most traders will use dynamic volume profile for is identifying basic support and resistance levels. It is important to note that using Dynamic Volume Profile as an identifier for support and resistance levels is a reactive method.
Point of Control (PoC): It refers to the area in the chart with the most traded volume activity. This is by far the most relevant area you want to monitor as it can help to define the placement of your stops or the areas in the chart where you might find the most pristine entry levels. The highest concentrated area of volume for a particular period of time we will call it PoC or Point of Control and you will be surprised how many times it acts as a wall on a retest. Traders tend to factor this in as an area of support or resistance.
Value Area (VA): The range of price levels in which a specified percentage of all volume was traded. By default, the industry standards tends to be 70%.
Value Area High (VAH) – The highest price level within the value area.
Value Area Low (VAL) – The lowest price level within the value area.
The script creates 10 channels according to highest/lowest levels for specified time period and finds the total volume for each channel. Then it calculates Point of Control, Value area and VAH/VAL. the script shows POC channel and Value Area, and you can see VAH/VAL ve all channels optionally.
Some useful resources:
www.tradingview.com
medium.com
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BTC: 16XRqyS3Vgh1knAU1tCcruqhUrVm4QWWmR
Author: LonesomeTheBlue
ICT Institutional Order Flow (Riz)This indicator implements Inner Circle Trader (ICT) institutional order flow concepts to identify high-probability entry points where smart money is actively participating in the market. It combines volume analysis, market structure, and price action patterns to detect institutional accumulation and distribution zones.
Core Concepts & Methodology
1. Institutional Order Blocks Detection
Order blocks represent the last opposing candle before a strong directional move, indicating institutional accumulation (bullish) or distribution (bearish) zones.
How it works:
⦁ Identifies the final bearish candle before bullish expansion (accumulation)
⦁ Identifies the final bullish candle before bearish expansion (distribution)
⦁ Validates with volume spike (2x average) to confirm institutional participation
⦁ Requires minimum 0.5% price displacement to filter weak moves
⦁ Tracks these zones as future support/resistance levels
2. Fair Value Gap (FVG) Analysis
FVGs are price inefficiencies created by aggressive institutional orders that leave gaps in price action.
Detection method:
⦁ Bullish FVG: When current low > high from 2 bars ago
⦁ Bearish FVG: When current high < low from 2 bars ago
⦁ Minimum gap size filter (0.1% default) eliminates noise
⦁ Monitors gap fills with volume for entry signals
⦁ Gaps act as magnets drawing price back for "rebalancing"
3. Liquidity Hunt Detection
Institutions often trigger retail stop losses before reversing direction, creating liquidity for their positions.
Algorithm:
⦁ Calculates rolling 20-period highs/lows as liquidity pools
⦁ Detects wicks beyond these levels (0.1% sensitivity)
⦁ Identifies rejection back inside range (liquidity grab)
⦁ Volume spike confirmation ensures institutional involvement
⦁ These reversals often mark significant turning points
4. Volume Profile Integration
Analyzes volume distribution across price levels to identify institutional interest zones.
Components:
⦁ Point of Control (POC): Price level with highest volume (institutional consensus)
⦁ Value Area: 70% of volume range (institutional comfort zone)
⦁ Uses 50-bar lookback to build volume histogram
⦁ 20 price levels for granular distribution analysis
5. Market Structure Analysis
Determines overall trend bias using pivot points and swing analysis.
Process:
⦁ Identifies swing highs/lows using 3-bar pivots
⦁ Bullish structure: Price above last swing high
⦁ Bearish structure: Price below last swing high
⦁ Filters signals to trade with institutional direction
Signal Generation Logic
BUY signals trigger when ANY condition is met:
1. Order Block Formation: Bearish-to-bullish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep below lows + recovery + volume spike
3. FVG Fill: Price fills bullish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price bounces from previous bullish OB + volume
SELL signals trigger when ANY condition is met:
1. Order Block Formation: Bullish-to-bearish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep above highs + rejection + volume spike
3. FVG Fill: Price fills bearish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price rejects from previous bearish OB + volume
Additional filters:
⦁ Signals align with market structure (no counter-trend trades)
⦁ No new signals while position is active
⦁ All signals require volume confirmation (institutional fingerprint)
Trading Style Auto-Configuration
The indicator features intelligent preset configurations for different trading styles:
Scalping Mode (1-5 min charts):
⦁ Volume multiplier: 1.5x (more signals)
⦁ Tighter parameters for quick trades
⦁ Risk:Reward 1.5:1, ATR multiplier 1.0
Day Trading Mode (15-30 min charts):
⦁ Volume multiplier: 1.7x (balanced)
⦁ Medium sensitivity settings
⦁ Risk:Reward 2:1, ATR multiplier 1.5
Swing Trading Mode (1H-4H charts):
⦁ Volume multiplier: 2.0x (quality focus)
⦁ Conservative parameters
⦁ Risk:Reward 3:1, ATR multiplier 2.0
Custom Mode:
⦁ Full manual control of all parameters
Visual Components
⦁ Order Blocks: Colored rectangles (green=bullish, red=bearish)
⦁ Fair Value Gaps: Orange boxes showing imbalances
⦁ Liquidity Levels: Dashed blue lines at key highs/lows
⦁ Volume Spikes: Yellow background highlighting
⦁ POC Line: Orange line showing highest volume price
⦁ Value Area: Blue shaded zone of 70% volume
⦁ Buy/Sell Signals: Triangle markers with text labels
⦁ Stop Loss/Take Profit: Dotted lines (red/green)
Information Panel
Real-time dashboard displaying:
⦁ Current trading mode
⦁ Volume ratio (current vs average)
⦁ Market structure (bullish/bearish)
⦁ Active order blocks count
⦁ Position status
⦁ Configuration details
How to Use
Step 1: Select Trading Style
Choose your style in settings - all parameters auto-adjust
Step 2: Timeframe Selection
⦁ Scalping: 1-5 minute charts
⦁ Day Trading: 15-30 minute charts
⦁ Swing: 1H-4H charts
Step 3: Signal Interpretation
⦁ Wait for BUY/SELL markers
⦁ Check volume ratio >2 for strong signals
⦁ Verify market structure alignment
⦁ Note automatic SL/TP levels
Step 4: Risk Management
⦁ Default 2:1 risk:reward (adjustable)
⦁ Stop loss: 1.5x ATR from entry
⦁ Position sizing based on stop distance
Best Practices
1. Higher probability setups occur when multiple conditions align
2. Volume confirmation is crucial - avoid signals without volume spikes
3. Trade with structure - longs in bullish, shorts in bearish structure
4. Monitor POC - acts as dynamic support/resistance
5. Confluence zones where OBs, FVGs, and liquidity levels overlap are strongest
Important Notes
⦁ Not a standalone system - combine with your analysis
⦁ Works best in trending markets with clear structure
⦁ Adjust settings based on instrument volatility
⦁ Backtest thoroughly on your specific markets
⦁ Past performance doesn't guarantee future results
Alerts Available
⦁ ICT Buy Signal
⦁ ICT Sell Signal
⦁ Volume Spike Detection
⦁ Liquidity Grab Detection
This indicator provides a systematic approach to ICT concepts, helping traders identify where institutions are entering positions through volume analysis and key price action patterns. The auto-configuration feature ensures optimal settings for your trading style without manual adjustment.
Disclaimer
This tool is for educational and research purposes only. It is not financial advice, nor does it guarantee profitability. All trading involves risk, and users should test thoroughly before applying live.
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
