Rising & Falling Window Signals [LuxAlgo]The Rising & Falling Window Signals indicator identifies Rising & Falling Window formations on the chart and manages them for use as support and resistance zones. The Rising and Falling Window methods used in this indicator are based on Steve Nison's techniques, emphasizing the importance of these areas to better identify continuation momentum and likely reversal points.
Various filtering settings are included to identify zones of a specific width, as well as hide shorter zones from displaying on their chart, helping the users focus on the most significant zones.
🔶 USAGE
A Window (Rising or Falling) forms when the candle wicks from 2 consecutive candlesticks do not overlap, causing a gap. This gap is considered as a strong market sentiment of upward or downward movement, allowing traders to anticipate the likely direction of future prices.
The formation of a Rising Window is a typical indication that a bullish trend is likely to follow.
The formation of a Falling Window is a typical indication that a bearish trend is likely to follow.
After forming a window, we can interpret the zone as a likely area of support and resistance for the price to return to and react from.
Generally, the extremities of the window are used as support and resistance levels, with opposite extremities being regarded as the strongest point of support/resistance. However, when the window is exceptionally wide, the mid-point is looked upon as the strongest point of support/resistance. Once the price closes beyond the window, the window is no longer seen as supportive.
🔶 DETAILS
The script uses a fairly simple concept and implements it with familiar size and mitigation checks. From the settings of this script, the zones can be controlled based on user preferences.
🔹 Horizontal Zone Control
Horizontal Control Settings manipulate the extension and zone display for each zone; however, these settings do not affect the identification of each zone.
Maximum Live Zone Length: This determines the maximum duration of a zone. Zones will stop extending once the zone is mitigated, or if it has reached the maximum zone length determined by this setting.
Minimum Inactive Zone Length: This will hide mitigated (inactive) zones that are shorter than this setting value, this is used to free up the chart from irrelevant zones.
Extend Historical Zones on Touch: If a zone is unmitigated, but has stopped extending, it is considered a "historical" zone. If the price returns to a historical zone, this setting will cause it to extend to the current bar.
🔹 Vertical Zone Control
Vertical Control Settings filter out windows that are wider or thinner than the desired width range. Each of these settings is specified as "ATR Multipliers".
Minimum Width: Filters out any zones whose width is lower than ATR * Minimum Width.
Maximum Width: Filters out any zones whose width is higher than ATR * Maximum Width.
🔹 Signal Types
Signals are used to identify interactions with the Rising & Falling Window zones. The script has 3 different identification types to choose from:
Note: These are all bullish (rising window) examples of each signal.
Regular: The "regular" signal will fire when the price crosses above the upper extremity of an unmitigated zone.
Engulfing: The "engulfing" signal will fire when a bullish engulfing candlestick pattern occurs while one or more of the candle's wicks are touching the zone.
Wick: The "wick" signal will fire when the low of the candle is below the top of a zone, but the candle then closes above the top of the zone.
🔶 SETTINGS
🔹 Horizontal Zone Control
Maximum Live Zone Length: Maximum duration of newly formed zones.
Minimum Inactive Zone Length: Hides Zones whose length is lower than this setting.
Extend Historical Zones on Touch: Extend historical unmitigated zones when the price reaches the zone to the current bar.
🔹 Vertical Zone Control
Minimum Width: ATR multiplier used to filter out any zones whose width is lower than ATR * Minimum Width.
Maximum Width: ATR multiplier used to filter out any zones whose width is higher than ATR * Maximum Width.
Show Midlines: Determine if the zone midlines are displayed.
🔹 Signals
Show Zone Tests: Determine if signals appearing on zone tests are displayed.
Test Type: Sets the signal method for zone tests.
Signal Size: Sets label size for displayed signals.
In den Scripts nach "support resistance" suchen
ICT Market Structure Screener (Zeiierman)█ Overview
The ICT Market Structure Screener (Zeiierman) is designed to identify and display key market structure levels and patterns based on Smart Money Concepts. It highlights bullish and bearish structures, premium and discount levels, and generates alerts for significant market structure changes, making it a valuable tool for traders looking to understand institutional trading behaviors and market trends. A key feature of this indicator is its screener function, which allows traders to monitor multiple symbols simultaneously. This feature provides a consolidated view of the market structure for various assets, making it easier to identify trading opportunities across a diverse portfolio.
█ How It Works
The ICT Market Structure Screener operates by identifying high and low pivot points within a specified period, then analyzing these pivots to determine changes in market structure. The indicator tracks price movements and categorizes them into bullish or bearish structures, indicating potential trend reversals or continuations. By plotting premium and discount levels, it helps traders identify overbought and oversold conditions. The indicator also provides real-time updates and alerts for significant changes in the market structure.
█ Terminology
ChoCH (Change of Character): Indicates a potential reversal in market direction. It is identified when the price breaks a significant high or low, suggesting a shift from a bullish to bearish trend or vice versa.
SMS (Smart Money Shift): Represents the transition phase in market structure where smart money begins accumulating or distributing assets. It typically follows a BMS and indicates the start of a new trend.
BMS (Bullish/Bearish Market Structure): Confirms the trend direction. Bullish Market Structure (BMS) confirms an uptrend, while Bearish Market Structure (BMS) confirms a downtrend. It is characterized by a series of higher highs and higher lows (bullish) or lower highs and lower lows (bearish).
Premium: A zone where the price is considered overbought. It is calculated as the upper range of the current market structure and indicates a potential area for selling or shorting.
Mid Range: The midpoint between the high and low of the market structure. It often acts as a support or resistance level, helping traders identify potential reversal or continuation points.
Discount: A zone where the price is considered oversold. It is calculated as the lower range of the current market structure and indicates a potential area for buying or going long.
█ How to Use
The ICT Market Structure Screener allows traders to follow smart money moves in the market more effectively. By identifying key market levels and monitoring bullish and bearish structures, traders can easily spot trend changes and strong trends. The indicator's premium and discount levels help identify overbought and oversold conditions, providing valuable entry and exit points. Alerts for ChoCH, SMS, and BMS keep traders informed about significant market changes, enabling real-time adjustments to trading strategies.
The screener functionality is particularly valuable for monitoring multiple markets simultaneously. The screener table displays critical information such as current price, trend direction, signal type, and premium/discount levels for each symbol. This makes it easier to track the market structure of various assets at a glance and quickly identify trading opportunities across different markets.
Example Strategies:
⚪ Trend Following: Use the indicator to identify the current market trend (bullish or bearish) and trade in the direction of the trend. Enter trades on pullbacks to premium (for shorts) or discount (for longs) levels.
⚪ Reversal Trading: Look for ChoCH signals to identify potential trend reversals. Enter trades when the price breaks a significant high or low and confirms a change in market structure, or wait for a retest of the nearest Orderblock that was formed.
⚪ Support and Resistance: Utilize the mid-range, premium, and discount levels as support and resistance zones. Enter trades when the price approaches these levels and shows signs of reversal or continuation.
⚪ Multi-Symbol Analysis: Use the screener table to monitor multiple symbols and quickly assess their market structure. This helps in diversifying trading opportunities and managing a portfolio of assets efficiently.
█ Settings
Period: The pivot period for calculating the structure. Increasing the period captures broader trends, making the structure more representative of long-term movements. Decreasing the period focuses on shorter-term trends, increasing sensitivity.
Response: Enabling this option uses the response period instead of the pivot period, providing more flexibility in capturing short-term or long-term structures. The period for the response, which determines the structure's sensitivity. Increasing the response period smoothens the structure, making it less reactive to short-term fluctuations. Decreasing the response period makes the structure more responsive to short-term changes.
Structure Display: Choose between displaying the active range or the previous range. 'Active Range' shows real-time premium, discount, and mid-range levels based on the current structure. 'Previous Range' displays past ranges, useful for analyzing historical support/resistance levels.
Ticker Symbols: List of symbols to include in the screener. Enabling the option includes the symbol in the screener, allowing the user to track its structure. Disabling it excludes the symbol from the screener, reducing the number of tracked symbols.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
VWAP Bands [UAlgo]The "VWAP Bands " indicator is designed to provide traders with valuable insights into market trends and potential support/resistance levels using Volume Weighted Average Price (VWAP) bands. This indicator integrates the core concepts of VWAP with additional trend analysis features, making it a versatile tool for both range trading and trend-following strategies.
The VWAP bands are plotted based on the standard deviation multipliers, creating upper and lower bands around the VWAP. These bands serve as dynamic support and resistance levels. When the price approaches these bands, traders can anticipate potential reversals or continuations of the current trend. Additionally, the indicator provides visual cues for trend strength and potential trend changes, helping traders make informed decisions in various market conditions.
🔶 Settings
Source (Data Source): The data source for VWAP calculations. The default setting is the typical price (HLC3), which is the average of the high, low, and close prices.
Length: The number of bars used in the VWAP calculation. This determines the lookback period for the indicator.
Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the primary upper and lower VWAP bands. This setting controls the distance of the bands from the VWAP.
Secondary Standard Deviation Multiplier: The multiplier applied to the standard deviation to create the secondary upper and lower VWAP bands, providing additional levels of support and resistance.
Display Trend: A toggle to enable or disable the display of the trend analysis feature. When enabled, the indicator highlights trend strength and potential trend changes.
Display Trend Crossovers: A toggle to enable or disable the display of trend crossover signals. When enabled, the indicator plots shapes to indicate where trend switches are likely occurring.
🔶 Calculations
The calculations behind the "VWAP Bands " indicator begin with determining the Volume Weighted Average Price (VWAP), which provides a comprehensive view of the average price of an asset, weighted by trading volume. This gives a more accurate representation of the asset's true average price over a specified period.
The first step in this process involves summing the trading volume over a chosen period, typically represented by the length parameter. Simultaneously, the product of the price (usually an average of the high, low, and close prices) and the trading volume is calculated and summed. By dividing this cumulative price-volume product by the total volume, we obtain the VWAP value. This VWAP serves as the central anchor around which the price action oscillates.
To enhance the utility of VWAP, we introduce standard deviation calculations. Standard deviation measures the extent of price dispersion from the VWAP, providing insight into price volatility. By calculating the variance (which involves the squared deviations of price) and then taking its square root, we derive the standard deviation. This helps in understanding how far prices typically stray from the VWAP.
With the VWAP and standard deviation in hand, we then establish upper and lower bands by adding and subtracting multiples of the standard deviation from the VWAP. These bands act as dynamic support and resistance levels, adapting to changes in market volatility. The primary bands, set by the first standard deviation multiplier, are augmented by secondary bands defined by a larger multiplier, offering additional layers of potential support and resistance.
It also integrates trend analysis, highlighting areas where the price action suggests a strong or weak trend. This is achieved by overlaying colored zones above and below the bands, indicating the strength and direction of the trend. When the price crosses these bands, it signals potential trend changes, aiding traders in making timely decisions.
🔶 Disclaimer
The "VWAP Bands " indicator is provided for educational and informational purposes only. It is not intended as financial advice and should not be construed as such.
Trading involves significant risk and may not be suitable for all investors. Before using this indicator or making any investment decisions, it is important to conduct thorough research and consider your financial situation.
MarketRangerThis indicator puts a selection of elements together providing traders with insights into price dynamics, trend changes, and potential trading opportunities within the specified timeframe.
Trading Range Defined by Support and Resistance :
Support and resistance levels are calculated using the lowest low and highest high over specified periods.
These
levels define the boundaries of the trading range within which the price moves.
WMA Color Changing based on Slope :
The script uses three Weighted Moving Averages (WMAs) with different lengths.
The color of the main WMA changes based on its slope.
When the slope of the WMA is positive (indicating an uptrend), it's displayed in blue. When it's
negative (indicating a downtrend), it's displayed in pink.
New High/Low Detection :
The script detects new highs and lows in the price action.
A new high is detected when the current high crosses under the previous resistance level, and a new low is detected when the current low crosses over the previous support level.
These
detections are marked by triangle shapes above or below the bars.
WMA Crosses :
The script calculates the difference between the two WMAs.
When the faster WMA crosses above the slower WMA, indicating a potential bullish signal, a blue cross shape is plotted below the bar.
When the faster WMA crosses below the slower WMA, indicating a potential bearish signal, a
pink cross shape is plotted above the bar.
Slope Changes :
The script calculates the slope of the main WMA and tracks changes in slope.
A positive slope indicates an upward trend, while a negative slope indicates a downward trend.
Slope changes from negative to positive indicate potential bullish momentum, and from
positive to negative indicate potential bearish momentum.
Customizable Pivot Levels :
Pivot levels are calculated based on user-defined percentages of the range between support and resistance.
Pivot Level 1 and Pivot Level 2 provide additional reference points for potential reversals or trend continuation.
Usage :
The indicator provides support and resistance levels, new high/low alerts, and WMA crosses.
The midpoint and customizable pivot levels offer potential trading zones.
Slope change points indicate potential shifts in market sentiment.
Customize the pivot levels according to your trading strategy.
Parameters :
Adjust the WMA lengths and support/resistance lengths to suit your trading style.
Modify the visibility settings to control how many periods of support and resistance are displayed.
Customize the pivot levels to fit your preferred trading strategy.
Alerts :
Alerts are triggered for new high/low points and WMA crosses.
Use alerts to stay informed about potential trading opportunities.
Interpretation :
Watch for new high/low points for potential trend reversals or continuations.
Monitor WMA crosses and slope changes for signals of market direction.
Consider trading near support/resistance levels and pivot points.
Additional Notes :
Experiment with different settings to find the configuration that best suits your trading preferences.
Backtest the indicator on historical data to validate its effectiveness before using it in live trading.
Map exampleUsing Maps collections:
This code manipulates support and resistance lines using maps collection.
We normally maintain array/udt of lines and related properties to segregate lines as support and or resistance.
With introduction of maps the same can be achieved without creating lines array/udt.
What does this code do:
1. Plot support and resistance lines based on ta.pivothigh() and ta.pivotlow()
2. When price crosses support line, the line is marked as resistance and color is changed to resistance line color and style is changed to dotted line (support turned resistance). Also the width of the line is set based on number of crosses. Finally the support/resistance line is removed when number of times price crossing the line reaches max allowed crosses (input parameter)
Where maps are used:
1. map_sr_cross - Number of times the support/resistance lines has been crossed by price
2. map_sr_type - R=resistance, S=support
3. color_map - color for support and resistance lines
4. style_map - line styles. Support/resistance lines as solid style and support turned resistance/resistance turned support lines as dotted style.
Autodrawn Support and Resistance LevelsAutodrawn Support and Resistance Levels is an indicator that helps traders identify key support and resistance levels on a chart. These levels are important because they can help traders make decisions about when to buy or sell an asset. The indicator uses three lookback periods to identify recent highs and lows and then draws lines at the highest support and resistance levels for those periods. The lines are color-coded, with green indicating support and red showing resistance. The thickness of the lines can also be adjusted to match a trader's preferences. The lines are updated automatically as new data is added to the chart, making it easy for traders to identify new levels of support and resistance as they emerge. Overall, this indicator is a helpful tool for traders who want to quickly and easily identify critical levels on a chart to inform their trading decisions.
By having one lookback period on a medium-term timeframe (e.g. 50), a short-term timeframe (e.g. 10), and a long-term timeframe (e.g. 300), it can be easier to identify support and resistance levels that are relevant to the current market trend, and see multiple critical levels at once. This can help you make more informed decisions about when to enter and exit trades, as well as where to set stop-loss orders. It may be valuable to consider that as shorter-term and longer-term support/resistance levels become closer together, it is more likely for there to be a reversal in the opposite direction.
This indicator is less useful in markets that have strong trends, where the horizontal support and resistance levels are likely to be less useful than trend line support and resistance levels, however it works well in sideways trading markets
Note: reupload since previous description violated tradingview rules
ICT Implied Fair Value Gap (IFVG) [LuxAlgo]An Implied Fair Value Gap (IFVG) is a three candles imbalance formation conceptualized by ICT that is based on detecting a larger candle body & then measuring the average between the two adjacent candle shadows.
This indicator automatically detects this imbalance formation on your charts and can be extended by a user set number of bars.
The IFVG average can also be extended until a new respective IFVG is detected, serving as a support/resistance line.
Alerts for the detection of bullish/bearish IFVG's are also included in this script.
🔶 SETTINGS
Shadow Threshold %: Threshold percentage used to filter out IFVG's with low adjacent candles shadows.
IFVG Extension: Number of bars used to extend highlighted IFVG's areas.
Extend Averages: Extend IFVG's averages up to a new detected respective IFVG.
🔶 USAGE
Users of this indicator can primarily find it useful for trading imbalances just as they would for trading regular Fair Value Gaps or other imbalances, which aims to highlight a disparity between supply & demand.
For trading a bullish IFVG, users can find this imbalance as an area where price is likely to fill or act as an area of support.
In the same way, a user could trade bearish IFVGs by seeing it as a potential area to be filled or act as resistance within a downtrend.
Users can also extend the IFVG averages and use them as longer-term support/resistances levels. This can highlight the ability of detected IFVG to provide longer term significant support and resistance levels.
🔶 DETAILS
Various methods have been proposed for the detection of regular FVG's, and as such it would not be uncommon to see various methods for the implied version.
We propose the following identification rules for the algorithmic detection of IFVG's:
🔹 Bullish
Central candle body is larger than the body of the adjacent candles.
Current price low is higher than high price two bars ago.
Current candle lower shadow makes up more than p percent of its total candle range.
Candle upper shadow two bars ago makes up more than p percent of its total candle range.
The average of the current candle lower shadow is greater than the average of the candle upper shadow two bars ago.
where p is the user set threshold.
🔹 Bearish
Central candle body is larger than the body of the adjacent candles.
Current price high is higher than low price two bars ago.
Current candle upper shadow makes up more than p percent of its total candle range.
Candle lower shadow two bars ago makes up more than p percent of its total candle range.
The average of the candle lower shadow 2 bars ago is greater than the average of the current candle higher shadow.
where p is the user set threshold.
🔶 SUPPLEMENTARY MATERIAL
You can see our previously posted script that detects various imbalances as well as regular Fair Value Gaps which have very similar usability to Implied Fair Value Gaps here:
Support & Resistance Trendlines with PP + Fib. Channel█ Support & Resistance Trendlines with Pivot Points + Fibonacci Channel
This script automatically draw support and resistance trend lines based on pivot points and add a fibonacci channel.
It will show potential patterns with the help of support and resistance lines as well as breakout target and pullback entry with the fibonacci extension and retracement levels.
It is based on atolelole's script, I only made it more configurable so please check out his script.
I added the possibility to change values and add additional retracement and extension levels.
I also made it customizable with the possibility to change lines color, width and style.
Pivot-Based Channels & Bands [Misu]█ This Indicator is based on Pivot detection to show bands and channels.
The pivot price is similar to a resistance or support level. If the pivot level is breached, the price should continue in that direction. Or the price could reverse at or near this level.
█ Usages:
Use channels as a support & resistance zone.
Use bands as a support & resistance zone. It is also very powerfull to use it as a breakout.
Use mid bands & mid channels as a trend direction or trade filter as a more usual moving average.
█ Parameters:
Show Pivot Bands: show bands.
Show Pivot Mid Band: show mid bands.
Show Pivot Channels: show channels.
Show Pivot Mid Channel: show mid channels.
Deviation: deviation used to calculate pivot points.
Depth: depth used to calculate pivot points.
Lines and DiagonalHere we have 2x Codes Together.
A) Volume-based S/R Levels >>> Credits for the creator @wugamlo
B) Support Resistance Diagonal >>> Credits fo the creator @pikusov
I Just mix them in one code.
This indicators are the best ones in tradingview to confirm Supports and Resistances.
it's a good way to help us to check the trend and gives an idea to get in or get out.
You can also use this together with the another indicators that i publish.
It's my setup today:
Volume-based S/R Levels
█ OVERVIEW
After my last indicator "Order Block Finder" was unexpectedly popular with the TradingView community, I decided to publish another experimental indicator which again tries to identify "areas of interest"
Idea:
Often candles with long wicks represent strong buying & selling pressure, especially when they are combined with extraordinary volume. Especially interesting to me are the lower wicks on red candles and the upper wicks of green candles. These wicks can potentially indicate "areas of interest" by the bigger players in the market and price may interact with these levels again in the future.
This indicator tries to identify these "high volume / long wick" candles and paints a line of either Support or Resistance from the wick into the future.
█ CALCULATION LOGIC
Extraordinary Volume is identified by first calculating thresholds based on a volume Moving Average and Standard Deviations. Two Standard Deviation Values are entered to identify HIGH and EXTREME threshold levels. The current volume is classified by comparing the volume against these thresholds.
The following inputs can be made:
- Volume MA Length
- Standard Deviation Length
- Threshold for HIGH Volume (Number of StdDev)
- Threshold for EXTREME Volume (Number of StdDev)
Another entry parameter can be used to specify the Minimum Wick Length (in % of the candle body value) which identifies a "relevant" candle. If this value is set to 0, then there is no limit and all high volume candles are considered.
The identified Support/Resistance levels are shown as lines on the chart. The parameter "Length of lines (hours)" can be used to set the length of the lines (always in hours). Depending on the timeframe, this needs to be adjusted.
(I know that this can be solved more elegantly in pine, but it was just not important to me. As always everyone is free to copy the code and make improvements. Just give me a mention when you do.)
█ DISPLAY OPTIONS
Different display options are available in the settings:
- Display Support/Resistance: Select if you want to see only Support or Resistance lines - or both
- Display High/Extreme Volume: Select if you only want to see the Extreme Value Candles or the High Value Candles or both
- Display WICK / WICK Range: Select if you only want one line at the extreme value (High/Low) of the wick - or if you want to see a range (three lines - one at the top, one at the bottom and one in the middle of the wick)
- Show Signal Triangles?: This gives the option to show little triangles on all the identified candles
█ DISCLAIMER
This is an experimental indicator and I do not know if my theory works in real life. So treat this not as financial advise, but purely for entertainment and educational purposes.
As mentioned above, I publish this code open so that everyone can re-use it or hopefully even improve it.
Let me know if you have any ideas for improvement and if it is within my coding capabilities (which to be honest are quite limited), I will try to accomodate it.
Have fun.
Bitcoin CME gaps multi-timeframe auto finder1. Overview
The Bitcoin CME Gap Multi-Timeframe Detector automatically identifies price gaps in the Bitcoin CME (Chicago Mercantile Exchange) futures market and visually displays them on the TradingView chart.
Because the CME futures market closes for about an hour after each weekday session and remains closed over the weekend, price gaps frequently appear when trading resumes on Monday.
This indicator analyzes gaps across six major timeframes, from 5-minute to 1-day charts, allowing traders to easily identify structural imbalances and potential support/resistance zones.
It is the most accurate and feature-rich CME gaps indicator available on TradingView.
2. Key Features
■ Multi-Timeframe Gap Detection
Analyzes 5m, 15m, 30m, 1h, 4h, and 1D charts simultaneously.
This enables traders to observe both short-term volatility and mid-to-long-term structure, providing a multi-dimensional view of market dynamics.
■ Gap Direction Classification
Up Gap: When the next candle’s open is higher than the previous candle’s high (default color: green tone)
Down Gap: When the next candle’s open is lower than the previous candle’s low (default color: red tone)
Gaps are color-coded to intuitively visualize potential support and resistance zones.
■ Highlight Function
Gaps exceeding a user-defined threshold (%) are highlighted (default color: yellow).
This helps quickly identify zones with abnormal volatility or sharp price dislocations.
■ Labels and Box Extension
Each gap displays a percentage label indicating its relative size and significance.
Gap zones are extended to the right as boxes, allowing traders to visually track when and how the gap gets filled over time.
■ Alert System
When a gap forms on the selected timeframe (or across all timeframes), a TradingView alert is triggered.
This enables real-time response to significant gap events.
3. Trading Strategies
■ Gap Fill Behavior
CME gaps statistically tend to get filled over time.
Gap boxes help distinguish between filled and unfilled gaps at a glance.
Up Gap: Price tends to decline to fill the previous high–next open zone.
Down Gap: Price often rises later to fill the previous low–next open zone.
■ Support & Resistance Levels
Gap zones frequently act as strong support or resistance.
When price retests a gap area, observing the reaction of buyers and sellers can provide valuable trading insights.
Overlapping gap boxes across multiple timeframes indicate high-confidence support/resistance zones.
■ Market Sentiment & Volatility Analysis
Large gaps usually result from shifts in market sentiment or major news events.
This indicator allows traders to detect volatility spikes early and prepare for potential trend reversals.
■ Combination with Other Technical Tools
While fully functional on its own, this indicator works even better when combined with tools like moving averages (MA), RSI, MACD, or Fibonacci retracements.
For example, if the bottom of a gap coincides with the 0.618 Fibonacci level, it may signal a strong rebound zone.
4. Settings Options
Minimum Gap % | Sets the minimum percentage movement required to detect a gap (lower values show smaller gaps)
Display Timeframes | Choose which timeframes to display (5m, 15m, 30m, 1h, 4h, 1D)
Box Colors | Assign colors for up and down gaps
Box Extension (Bars) | Number of bars to extend gap boxes to the right
Show Labels | Toggle display of gap percentage labels
Label Position / Size | Adjust label position and size
Highlight Gap ≥ % | Highlight gaps exceeding a specified percentage
Highlight Colors | Set highlight color for labels and boxes
Enable Alerts | Enable or disable alerts
Alert Timeframe | Select timeframe(s) for alerts (“All” = all timeframes)
5. Summary
This indicator is a professional trading tool that provides quantitative and visual analysis of price gaps in the Bitcoin CME futures market.
By combining multi-timeframe detection, highlighting, and alert systems, it helps traders clearly identify zones of market imbalance and potential reversal areas.
Advanced Multi-Timeframe Trend & Signal System═══════════════════════════════════════════════════════════════
ADVANCED MULTI-TIMEFRAME TREND & SIGNAL SYSTEM v1.0
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Created by: Zakaria Safri
License: Mozilla Public License 2.0
A comprehensive technical analysis tool designed for traders seeking
multi-dimensional market insights. This indicator combines proven
technical analysis methods with modern visualization techniques.
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KEY FEATURES
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✓ SUPERTREND SIGNAL GENERATION
- Customizable sensitivity settings
- Clear long/short entry signals
- Automatic trend direction detection
- ATR-based dynamic calculations
✓ MULTI-TIMEFRAME DASHBOARD
- Real-time trend analysis across 6 timeframes
- Synchronized trend confirmation
- Customizable table position and size
- Current: 1M, 5M, 15M, 1H, 1D coverage
✓ QQE REVERSAL DETECTION
- Quantitative Qualitative Estimation algorithm
- Early reversal signal identification
- Adjustable RSI and smoothing parameters
- Confirmation-based plotting
✓ DYNAMIC SUPPORT & RESISTANCE
- Pivot-based level calculation
- Quick and standard pivot detection
- Color-coded zones (8 levels)
- Automatic level updates
✓ MOMENTUM BREAKOUT SIGNALS
- Ichimoku-inspired calculations
- Bullish and bearish breakout detection
- Visual zone highlighting
- Trend confirmation filters
✓ RISK MANAGEMENT SYSTEM
- ATR-based stop loss calculation
- Multiple take profit targets (TP1, TP2, TP3)
- Customizable risk-to-reward ratios
- Dynamic price level tracking
- Hit detection markers
✓ VOLATILITY BANDS
- Keltner Channel implementation
- Multiple band layers (3 levels)
- EMA-based calculations
- Adaptive to market conditions
✓ TREND CLOUD VISUALIZATION
- Dual moving average cloud
- Clear trend direction indication
- Customizable color scheme
- Trend bar coloring
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HOW TO USE
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SETUP:
1. Add indicator to your chart
2. Configure sensitivity in Core Signals section
3. Enable desired features (signals, reversals, breakouts)
4. Set up risk management levels if trading
5. Position MTF dashboard to preference
SIGNAL INTERPRETATION:
• LONG Signal: Price crosses above Supertrend
• SHORT Signal: Price crosses below Supertrend
• REV (Reversal): QQE indicates potential trend change
• Diamond Breakouts: Momentum shift confirmation
• T1/T2/T3: Take profit level hits
MULTI-TIMEFRAME ANALYSIS:
• Green (BULL): Higher timeframe supports uptrend
• Red (BEAR): Higher timeframe supports downtrend
• Use for trend alignment and confirmation
• Best results when multiple timeframes align
RISK MANAGEMENT:
• Enable Stop Loss for automatic SL calculation
• Activate TP levels based on trading style
• Adjust Risk-to-Reward ratio (1:1 to 1:10)
• Monitor hit detection circles for exits
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TECHNICAL SPECIFICATIONS
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CALCULATIONS:
• Supertrend: ATR-based with customizable multiplier
• QQE: Modified RSI with Wilders smoothing
• Keltner Channels: EMA basis with ATR bands
• Pivots: Standard left/right bar methodology
• Support/Resistance: Multi-level pivot analysis
PARAMETERS:
• Supertrend Sensitivity: 0.5 to 10.0 (default: 2.0)
• RSI Period: 5 to 50 (default: 14)
• QQE Multiplier: 1.0 to 10.0 (default: 4.238)
• Risk-to-Reward: 1 to 10 (default: 4)
TIMEFRAMES:
Compatible with all timeframes. MTF dashboard displays:
• 1 Minute (1M)
• 5 Minutes (5M)
• 15 Minutes (15M)
• 1 Hour (1H)
• 1 Day (1D)
• Current chart timeframe
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CUSTOMIZATION OPTIONS
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VISUAL:
• Professional color scheme (Cyan/Orange)
• Adjustable table position (9 positions)
• Table size options (tiny/small/normal/large)
• Transparent zone highlighting
• Clean, modern label design
TOGGLES:
• Enable/disable any feature independently
• Show/hide signals, reversals, breakouts
• Toggle S/R levels and zones
• Control trend cloud and bands
• Master trend line optional
ALERTS:
The indicator provides visual signals that can be used with
TradingView's alert system by setting alerts on the indicator.
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BEST PRACTICES
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✓ Combine signals for higher probability setups
✓ Use MTF dashboard for trend confirmation
✓ Respect S/R levels for entry/exit planning
✓ Monitor QQE reversals at key price levels
✓ Adjust sensitivity based on asset volatility
✓ Test on demo/paper trading first
✓ Use proper risk management always
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IMPORTANT DISCLAIMER
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This indicator is a technical analysis tool and does NOT:
• Guarantee profitable trades
• Provide financial advice
• Predict future price movements with certainty
• Replace proper risk management
• Substitute for personal due diligence
Past performance does not indicate future results. All trading
involves risk. Users should:
- Understand the indicator's logic
- Test thoroughly before live trading
- Use appropriate position sizing
- Never risk more than they can afford to lose
- Consult financial advisors if needed
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CODING STANDARDS
═══════════════════════════════════════════════════════════════
This indicator follows PineCoders Coding Conventions:
✓ Proper variable naming (prefixes: i_, f_, c_)
✓ Clear function documentation
✓ Organized code structure
✓ Type declarations
✓ Efficient calculations
✓ No repainting (confirmed signals)
✓ Proper use of request.security
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SUPPORT & UPDATES
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Version: 1.0
Author: Zakaria Safri
License: MPL 2.0
Last Updated: 2024
For questions, feedback, or suggestions, please comment below.
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#trading #signals #supertrend #multiTimeframe #QQE #reversals
#supportResistance #riskManagement #trendAnalysis #momentum
RSI Breakout Zones█ OVERVIEW
“RSI Breakout Zones” is a technical analysis tool that identifies significant zones on the chart based on the Relative Strength Index (RSI). The indicator maps overbought (OB) and oversold (OS) zones using boxes, then extends them until the next zone of the same type is detected, highlighting breakout points to aid in trade entry decisions. These zones often serve as areas of consolidation, support, or resistance.
█ CONCEPTS
The indicator identifies overbought (above 70) and oversold (below 30) zones, drawing boxes that extend until the next zone of the same type (OB for OB, OS for OS) is detected. Breakout signals are generated when the price crosses the zone boundaries, indicating potential shifts in market momentum.
Why are RSI zones important? These zones represent areas of extreme market sentiment, often leading to corrections or reversals. Overbought zones suggest potential selling pressure, while oversold zones indicate buying opportunities. After a breakout, a zone may switch roles, e.g., from support to resistance or vice versa, making it a key element in price action analysis. Larger zones, formed during high volatility, may attract price for retests due to stronger imbalances in buyer/seller dynamics. Consolidation often occurs within these zones as the market seeks equilibrium before further moves. However, in strong trends, zones may be decisively broken without immediate pullbacks, and their significance depends on their position relative to key support and resistance levels.
█ FEATURES
- RSI Zone Detection: Calculates RSI with a customizable length (default 14) and identifies overbought/oversold zones based on user-defined levels (default 70/30), drawing boxes that dynamically adjust to price action within the zone.
- Customizable Boxes: Zones extend until the next zone of the same type is detected. The indicator draws zones with adjustable colors for overbought (red) and oversold (green) areas, with options for box and zone transparency.
- Breakout Signals: Generates upward (green triangle) and downward (red triangle) breakout signals when the price crosses the top or bottom of a zone. Signals appear below or above the bar, indicating potential trade entry points.
- Midline: Automatically draws a dashed line at the midpoint of each zone, helping traders assess price behavior within the zone and potential halfway retests.
- Box Management: Option to remove outdated boxes.
- Alerts: Built-in support for alerts on breakout signals, enabling traders to receive notifications for key zone crossings.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
- RSI Settings: Adjust RSI Length (default 14), Overbought Level (default 70), and Oversold Level (default 30) to tailor zone detection sensitivity—higher lengths smooth signals for longer-term analysis.
- Box Settings: Configure colors and transparency for overbought (red) and oversold (green) zones, including box transparency (default 90) and zone transparency (default 90).
- Signal Settings: Customize breakout signal colors (green for upward, red for downward) and enable/disable keeping boxes after RSI normalization.
Interpreting Signals:
- Upward Breakout Signal: A green triangle below the bar indicates a breakout, suggesting potential bullish momentum and trend continuation or reversal.
- Downward Breakout Signal: A red triangle above the bar indicates a breakout, suggesting potential bearish momentum.
- RSI Zones: If the price re-enters a zone after a breakout, it may signal a false breakout or consolidation; persistent zones can act as future support/resistance levels. Consolidation often occurs within these zones as the market seeks equilibrium.
- Use signals alongside other technical analysis tools for confirmation, such as moving averages (to confirm trend direction), Fibonacci levels (to identify key price zones), or volume indicators (to validate breakout strength). Analyze RSI zones on higher timeframes for stronger signals due to broader market context.
█ APPLICATIONS
- Momentum Trading: Use RSI zones as overbought/oversold filters. In an uptrend, look for buying opportunities on upward breakouts, and in a downtrend, on downward breakouts. Combining with MACD crossovers, Fibonacci levels, or pivot points enhances zone significance.
- Inter-Zone Trading: Utilize breakouts from one RSI zone and hold the position until reaching the next zone, which may act as a target level or reversal point.
█ NOTES
- Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize RSI length and levels for your trading style.
- For best results, use in trending markets where RSI extremes are more predictive; in ranging markets, additional filters are recommended to reduce false signals.
- Always combine with risk management; RSI zones alone do not guarantee reversals, and false breakouts may occur in low-liquidity environments.
ZS Game Changer Pump & Dump DetectorZS GAME CHANGER PUMP AND DUMP DETECTOR - TOP 2 MOMENTUM TRACKER
Created by Zakaria Safri
An intelligent indicator specifically designed to identify and highlight the two most significant pump and dump candles within your selected lookback period. Perfect for traders who want to focus on the game-changing moves that truly matter in volatile markets like cryptocurrency, stocks, and forex.
CORE FEATURES
AUTOMATIC GAME CHANGER DETECTION
The indicator continuously scans your specified lookback period and automatically identifies the top 2 strongest pump candles and top 2 strongest dump candles. These game-changing candles are highlighted with distinctive gold labels and horizontal reference lines, making them instantly visible on your chart. Unlike other indicators that show every small move, this focuses exclusively on the market-moving moments that define trends and create opportunities.
INTELLIGENT PUMP AND DUMP CLASSIFICATION
Uses advanced percentage-based calculations to classify candles as pumps when price surges significantly upward and dumps when price plunges sharply downward. The detection system accounts for candle body size, wick proportions, and volume confirmation to ensure only legitimate momentum moves trigger signals. Customizable thresholds allow adaptation to any market volatility profile from calm stocks to wild altcoins.
ADVANCED WICK EXCLUSION FILTER
Eliminates false signals caused by candles with large wicks and small bodies. This filter focuses analysis exclusively on candles with substantial body sizes that indicate genuine directional conviction rather than temporary spikes followed by rejection. The body to candle ratio is fully adjustable to match your preferred signal quality standards.
VOLUME CONFIRMATION SYSTEM
Optional volume filter ensures detected pumps and dumps are backed by real market participation. The indicator compares current volume against a moving average and only triggers signals when volume exceeds your specified multiplier threshold. This eliminates low-volume noise and focuses on moves supported by institutional or crowd participation.
RALLY SEQUENCE DETECTION
Identifies and highlights consecutive sequences of pump or dump candles with colored background overlays. Green background indicates sustained buying pressure across multiple candles while red background shows sustained selling pressure. The rally detection system includes an optional one-miss allowance that prevents the sequence from breaking due to a single neutral candle.
HORIZONTAL REFERENCE LINES
Draws dashed lines from each game changer candle extending to the current bar, providing constant visual reference to the most significant support and resistance levels created by extreme momentum. The top game changer gets a thick dashed line while the second gets a dotted line for easy differentiation. Labels on the right side display the exact percentage move.
COMPREHENSIVE STATISTICS DASHBOARD
Real-time information panel showing current market status as pumping, dumping, or neutral along with the current candle percentage change. Displays the exact percentage values for top pump number 1, top pump number 2, top dump number 1, and top dump number 2. Shows running totals of all pumps and dumps detected since chart load. Tracks consecutive candle counts during active rally sequences.
TESTING AND VERIFICATION MODE
Built-in debug mode displays percentage change directly on each qualifying pump and dump candle, allowing instant verification that calculations are accurate. Shows which filters are currently active with a simple code in the dashboard. Helps traders understand exactly why certain candles qualified as game changers.
HOW THE GAME CHANGER DETECTION WORKS
SCANNING ALGORITHM
Every bar close, the indicator scans backward through your specified lookback period examining every candle's percentage change from its previous close. For bullish moves, it identifies the two candles with the largest positive percentage change that meet your threshold requirements. For bearish moves, it identifies the two candles with the largest negative percentage change meeting threshold requirements.
RANKING SYSTEM
Candles are ranked purely by their percentage move magnitude. The number 1 game changer is always the single strongest move in the lookback period. The number 2 game changer is the second strongest move. Rankings update dynamically as new candles form and old candles exit the lookback window.
VISUAL IDENTIFICATION
Game changer number 1 for both pumps and dumps receives a large gold label reading GAME CHANGER NUMBER 1 with zero transparency for maximum visibility. Game changer number 2 receives a slightly smaller gold label with partial transparency. The candle bars themselves are colored in gold instead of the standard green or red. Horizontal lines extend from the game changer price level to current bar.
FILTER APPLICATION
Only candles that pass your configured filters qualify for game changer consideration. If wick exclusion is enabled, candles with large wicks and small bodies are ignored. If volume confirmation is enabled, only candles with above-average volume qualify. This ensures game changers represent legitimate market moves rather than aberrations.
PRACTICAL APPLICATIONS
FOR CRYPTOCURRENCY TRADERS
Crypto markets experience extreme volatility with occasional massive pump and dump candles that define entire trends. This indicator instantly identifies which candles represent true market structure shifts versus normal noise. Use the game changer levels as key support and resistance for entries, exits, and stop placement. The top pump often marks the local high to watch for breakouts while the top dump marks the local low for reversal trades.
FOR DAY TRADERS
Intraday charts contain hundreds of candles but only a few truly matter for the session outcome. Game changer detection filters out 98 percent of candles to show you the 2 percent that drove the actual price movement. Enter trades on the side of the strongest recent game changer. Use game changer levels as magnet prices where algorithmic trading often returns.
FOR SWING TRADERS
On daily and four-hour timeframes, game changers represent major institutional activity or news-driven moves. The top dump often marks capitulation selling that creates reversal opportunities. The top pump often marks FOMO buying that creates resistance levels. Swing traders can build positions knowing these levels will be defended or tested multiple times.
FOR VOLATILITY ANALYSIS
Understanding which candles created the most volatility helps assess market risk. Multiple game changers clustered together indicate unstable choppy conditions. Game changers separated by many neutral candles indicate trending stable conditions. Use this context to adjust position sizing and stop distances appropriately.
FOR SUPPORT AND RESISTANCE TRADING
Game changer candles create the strongest support and resistance levels because they represent prices where massive volume transacted in short time periods. These levels have higher probability of holding on retest compared to arbitrary moving averages or pivot points. Trade bounces off game changer levels or breakouts through them.
RECOMMENDED SETTINGS BY MARKET
CRYPTOCURRENCY 15-MINUTE TO 1-HOUR CHARTS
Candle Size Threshold: 2.0 percent
Body to Candle Ratio: 0.5
Volume Multiplier: 1.5 times average
Game Changer Lookback: 100 bars
Extreme Threshold: 3.5 percent
Enable Wick Filter: Yes
Enable Volume Confirmation: Yes
Minimum Rally Candles: 3
STOCKS DAILY CHARTS
Candle Size Threshold: 1.0 percent
Body to Candle Ratio: 0.6
Volume Multiplier: 2.0 times average
Game Changer Lookback: 50 bars
Extreme Threshold: 2.5 percent
Enable Wick Filter: Yes
Enable Volume Confirmation: Yes
Minimum Rally Candles: 2
FOREX 1-HOUR TO 4-HOUR CHARTS
Candle Size Threshold: 0.5 percent
Body to Candle Ratio: 0.5
Volume Multiplier: Not applicable
Game Changer Lookback: 80 bars
Extreme Threshold: 1.0 percent
Enable Wick Filter: Yes
Enable Volume Confirmation: No
Minimum Rally Candles: 3
SCALPING 1-MINUTE TO 5-MINUTE CHARTS
Candle Size Threshold: 0.8 percent
Body to Candle Ratio: 0.4
Volume Multiplier: 1.2 times average
Game Changer Lookback: 50 bars
Extreme Threshold: 1.5 percent
Enable Wick Filter: No
Enable Volume Confirmation: Yes
Minimum Rally Candles: 2
WHAT IS INCLUDED
Automatic identification of top 2 pump candles
Automatic identification of top 2 dump candles
Gold colored game changer labels with size differentiation
Gold colored candle bars for game changers
Horizontal reference lines from game changers to current price
Regular pump and dump detection with green and red candles
Rally sequence detection with background highlighting
Extreme move detection and labeling system
Real-time statistics dashboard with all key metrics
Percentage change debug mode for verification
Volume confirmation filter with adjustable multiplier
Wick exclusion filter with adjustable body ratio
Customizable lookback period from 20 to 500 bars
Consecutive candle counter for rally tracking
Alert system for game changers, pumps, dumps, and rallies
Works on all timeframes from 1 minute to monthly
Compatible with stocks, forex, cryptocurrency, and futures
UNDERSTANDING GAME CHANGERS
WHAT MAKES A CANDLE A GAME CHANGER
A game changer is not just a large move but the largest move within context. In a volatile crypto market, a 5 percent pump might not rank in the top 2. In a stable stock, a 2 percent pump could be the number 1 game changer. The indicator adapts to your specific instrument and timeframe to find what truly matters in that context.
WHY FOCUS ON TOP 2 ONLY
Markets are driven by a small number of significant moves rather than the average of all moves. By focusing exclusively on the top 2 in each direction, traders can ignore noise and concentrate on the price levels that actually matter for support, resistance, and momentum. This creates clarity in decision making.
GAME CHANGERS AS MARKET STRUCTURE
The top pump often marks the recent high that bulls must break to continue uptrend. The top dump often marks the recent low that bears must break to continue downtrend. These become the key levels around which all other price action rotates. Understanding this structure is essential for profitable trading.
GAME CHANGERS AS SENTIMENT INDICATORS
Consecutive pump game changers signal strong bullish sentiment and FOMO conditions. Consecutive dump game changers signal fear and capitulation. Alternating pump and dump game changers signal indecision and range conditions. Read the pattern of game changers to gauge market psychology.
VERIFICATION AND TESTING
HOW TO VERIFY ACCURACY
Enable Show Debug Info on Chart in the Testing and Debug settings group. This displays the percentage change calculation directly on every qualifying pump and dump candle. Manually verify by calculating open minus close divided by close multiplied by 100. The debug percentage should match your manual calculation exactly.
HOW TO TEST FILTERS
Toggle wick exclusion filter on and off while watching how many candles qualify. With filter on, candles with long wicks and small bodies should disappear. Toggle volume confirmation on and off to see how low-volume candles get excluded. Adjust the thresholds and watch the real-time impact on signal count.
HOW TO VERIFY GAME CHANGERS
Look at your chart and visually identify which candle had the biggest green body in the lookback period. The game changer number 1 pump label should be on that exact candle. Repeat for the biggest red candle to verify game changer number 1 dump. The rankings should match your visual assessment.
LOOKBACK PERIOD EFFECTS
Decrease the lookback period to 20 bars and watch game changers update to only recent moves. Increase to 500 bars and watch game changers potentially change to older historic moves. The optimal lookback balances recency with significance. Too short misses important levels, too long includes irrelevant history.
DASHBOARD INFORMATION GUIDE
STATUS ROW
Shows PUMPING when current candle qualifies as a pump, DUMPING when current candle qualifies as a dump, or NEUTRAL when current candle does not meet threshold requirements. This updates in real-time on every bar close.
CURRENT CHANGE ROW
Displays the percentage change of the current candle from its previous close. Positive percentages indicate bullish candle, negative indicate bearish candle. This number may or may not meet your threshold to qualify as pump or dump.
TOP PUMP NUMBER 1
The highest positive percentage change found in your lookback period. This candle is marked with the large gold GAME CHANGER NUMBER 1 label below it. Shows N/A if no pumps exist in the lookback period.
TOP PUMP NUMBER 2
The second highest positive percentage change found in your lookback period. Marked with smaller gold GAME CHANGER NUMBER 2 label. Shows N/A if only one or zero pumps exist.
TOP DUMP NUMBER 1
The highest negative percentage change magnitude found in your lookback period. This candle is marked with the large gold GAME CHANGER NUMBER 1 label above it. Shows N/A if no dumps exist.
TOP DUMP NUMBER 2
The second highest negative percentage change magnitude found in your lookback period. Marked with smaller gold GAME CHANGER NUMBER 2 label. Shows N/A if only one or zero dumps exist.
TOTAL PUMPS
Running count of all pump candles detected since you loaded the indicator on this chart. This number continuously increases as new qualifying pumps form. Resets when you reload the chart.
TOTAL DUMPS
Running count of all dump candles detected since chart load. Increases as new qualifying dumps form and resets on chart reload.
CONSECUTIVE
Shows the current count of consecutive pump or dump candles during an active rally. Displays 3 UP during a 3-candle pump rally or 5 DN during a 5-candle dump rally. Shows 0 when no rally is active.
ALERT SYSTEM
GAME CHANGER DETECTED ALERT
Triggers whenever the current candle becomes one of the top 2 pumps or top 2 dumps. This is the highest priority alert indicating a market-moving event just occurred. Use this alert for immediate notification of significant opportunities.
PUMP DETECTED ALERT
Triggers on every candle that qualifies as a pump according to your threshold and filter settings. This includes regular pumps and extreme pumps but excludes game changers which have their separate alert. Use for general upward momentum monitoring.
DUMP DETECTED ALERT
Triggers on every candle that qualifies as a dump according to your settings. Includes regular and extreme dumps but excludes game changers. Use for general downward momentum monitoring.
PUMP RALLY STARTED ALERT
Triggers when consecutive pump candles reach your minimum rally threshold. Indicates the beginning of a sustained upward movement sequence. Use to catch trends early.
DUMP RALLY STARTED ALERT
Triggers when consecutive dump candles reach your minimum rally threshold. Indicates the beginning of a sustained downward movement sequence. Use for trend following or reversal timing.
ALERT MESSAGE FORMAT
All alerts include the ticker symbol and current price using TradingView placeholders. Messages are descriptive and specify which type of signal triggered. Alerts work with TradingView notification system including email, SMS, webhook, and app notifications.
TECHNICAL SPECIFICATIONS
CALCULATION METHODOLOGY
Percentage change calculated as current close minus previous close divided by previous close multiplied by 100. Body ratio calculated as absolute value of close minus open divided by high minus low. Volume elevation calculated as current volume divided by 20-period simple moving average of volume. Game changer ranking uses absolute value comparison across entire lookback array.
PERFORMANCE CHARACTERISTICS
Lightweight calculations optimized for speed on all timeframes. No repainting of signals ensuring all triggers are final on bar close. Variables properly scoped with var keyword for memory efficiency. Maximum bars back set to 500 to prevent excessive historical loading. Updates in real-time on every bar close without lag.
COMPATIBILITY
Works on all TradingView plans including free, pro, and premium. Compatible with stocks, forex, cryptocurrency, futures, indices, and commodities. Functions correctly on all timeframes from 1 second to monthly. No external data requests ensuring fast loading. Overlay true setting places directly on price chart.
RISK DISCLAIMER
This indicator is a technical analysis tool for identifying momentum and should not be used as the sole basis for trading decisions. Game changer levels can be broken during strong trends and are not guaranteed support or resistance. Pump and dump detection does not predict future price direction. Always use proper risk management with stop losses on every trade. Combine this indicator with other forms of analysis including fundamentals, market context, and risk assessment. Practice on demo accounts before live trading. Past performance of game changer signals does not guarantee future results. Trading carries substantial risk of loss and is not suitable for all investors. The creator is not responsible for trading losses incurred while using this tool.
SUPPORT AND UPDATES
Regular updates based on user feedback and market evolution. Built following PineCoders industry standards and best practices for code quality. Clean well-documented code structure for transparency and auditability. Optimized performance across all timeframes and instruments. Active development with continuous improvements and feature additions.
WHY CHOOSE ZS GAME CHANGER PUMP AND DUMP DETECTOR
Focuses on what matters by highlighting only the top 2 moves in each direction instead of cluttering your chart with every small fluctuation. Saves time by automatically identifying the most significant candles rather than requiring manual scanning. Provides clarity through visual gold labels and reference lines that make game changers unmistakable. Adapts to any market with customizable thresholds for volatility and volume. Eliminates noise with advanced wick and volume filters ensuring signal quality. Offers verification through debug mode proving calculations are accurate and trustworthy. Includes comprehensive statistics showing exact percentages and counts. Works everywhere across all markets, timeframes, and instruments without modification.
Transform your chart analysis by focusing exclusively on the game-changing moments that define trends and create opportunities.
Version 1.1 | Created by Zakaria Safri | Pine Script Version 5 | PineCoders Compliant
Daily ATR Zones
Dynamic Daily ATR Projection Zones
### **Description:**
This indicator projects potential price levels for the current trading day based on the Average True Range (ATR) of the previous day. It is designed to help intraday traders visualize daily volatility and identify key potential support, resistance, or target levels that are fixed for the entire session and do not repaint.
**How It Works**
The logic is based on two key components: a stable base price and a reliable volatility measure.
* **Base Price:** The indicator uses the **Open price of the current day** as the central anchor point for all projections.
* **Volatility Measure:** The calculation uses the final, completed **ATR value from the previous day**. This ensures that the projected zones are constant throughout the current trading day and are not subject to repainting.
The projection levels are then calculated using the formula:
`Current Day's Open + (Previous Day's ATR * Multiplier)`
**Features**
This script is fully customizable to fit your trading style:
* **Customizable ATR Multipliers:** Easily define your own price zones by entering a comma-separated list of multipliers (e.g., `0.5, 1.0, 1.5, -0.5, -1.0`).
* **Dynamic & Movable Labels:** The price labels are designed to stay on the right edge of the chart, ensuring they never obscure the current price action.
* **Adjustable Label Position:** Use the "Label Horizontal Offset" setting to control how far the labels are positioned from the current bar, keeping your chart clean.
* **Adjustable Label Size:** Choose from five different sizes (Tiny, Small, Normal, Large, Huge) to ensure the labels are perfectly readable on any device.
* **Toggle Labels:** You can turn all labels on or off with a single checkbox.
* **Full Color Customization:** Set unique colors for the positive (upper), negative (lower), and neutral projection zones.
**How to Use**
This tool can be integrated into various intraday trading strategies:
* **Intraday Targets:** The projected levels can serve as potential take-profit or stop-loss targets for scalpers and day traders.
* **Support & Resistance:** Watch for price reactions, such as bounces or rejections, at these ATR levels, as they often act as dynamic support and resistance zones.
* **Volatility Gauge:** The zones provide a quick visual reference for how far the price has moved relative to its recent average daily range. For example, if the price reaches the `1.0 ATR` level, it has completed an "average" day's move.
Pro Trading Signals - Trend + S/R + Risk// ============================================
// PROFESSIONAL TRADING STRATEGY NOTES
// ============================================
// === WHAT THIS STRATEGY DOES ===
// 1. TREND ANALYSIS: Uses multiple EMAs (9, 21, 50, 200) to identify trend direction
// 2. SUPPORT/RESISTANCE: Automatically detects key price levels
// 3. RISK MANAGEMENT: Calculates stop loss and take profit with 2:1+ R:R ratio
// 4. SIGNAL SCORING: Only trades high-quality setups (60/100+ score)
// 5. ENTRY TYPES: Pullbacks, support/resistance bounces, breakouts
// === KEY IMPROVEMENTS FROM BASIC SIGNALS ===
// ✓ Trend alignment required (no counter-trend trades)
// ✓ Support/resistance confirmation
// ✓ Volume and momentum filters
// ✓ Automatic stop loss and take profit levels
// ✓ Signal quality scoring (filters out weak signals)
// ✓ Risk:Reward ratio enforcement (minimum 2:1)
// ✓ Volatility filter (avoids choppy markets)
T3 [DCAUT]█ T3
📊 INDICATOR OVERVIEW
The T3 Moving Average is a smoothing indicator developed by Tim Tillson and published in Technical Analysis of Stocks & Commodities magazine (January 1998). The algorithm applies Generalized DEMA (Double Exponential Moving Average) recursively three times, creating a six-pole filtering effect that aims to balance noise reduction with responsiveness while minimizing lag relative to price changes.
📐 MATHEMATICAL FOUNDATION
Generalized DEMA (GD) Function:
The core building block is the Generalized DEMA function, which combines two exponential moving averages with weights controlled by the volume factor:
GD(input, v) = EMA(input) × (1 + v) - EMA(EMA(input)) × v
Where v is the volume factor parameter (default 0.7). This weighted combination reduces lag while maintaining smoothness by extrapolating beyond the first EMA using the double-smoothed EMA as a reference.
T3 Calculation Process:
T3 applies the GD function three times recursively:
T3 = GD(GD(GD(Price, v), v), v)
This triple nesting creates a six-pole smoothing effect (each GD applies two EMA operations, resulting in 2 × 3 = 6 total EMA calculations). The cascading refinement progressively filters noise while preserving trend information.
Step-by-Step Breakdown:
First GD application: GD1 = EMA(Price) × (1 + v) - EMA(EMA(Price)) × v - Creates initial smoothed series with lag reduction
Second GD application: GD2 = EMA(GD1) × (1 + v) - EMA(EMA(GD1)) × v - Further refines the smoothing while maintaining responsiveness
Third GD application: T3 = EMA(GD2) × (1 + v) - EMA(EMA(GD2)) × v - Final refinement produces the T3 output
Volume Factor Impact:
The volume factor (v) is the key parameter controlling the balance between smoothness and responsiveness. Tim Tillson recommended v = 0.7 as the optimal default value.
Lower volume factors (v closer to 0.0): Increase the extrapolation effect, making T3 more responsive to price changes but potentially more sensitive to noise.
Higher volume factors (v closer to 1.0): Reduce the extrapolation effect, producing smoother output with less sensitivity to short-term fluctuations but slightly more lag.
The recursive application of the volume factor through three GD stages creates a nonlinear filtering effect that achieves superior lag reduction compared to traditional moving averages of equivalent smoothness.
📊 SIGNAL INTERPRETATION
Trend Direction Signals:
Green Line (T3 Rising): Smoothed trend line is rising, may indicate uptrend, consider bullish opportunities when confirmed by other factors
Red Line (T3 Falling): Smoothed trend line is falling, may indicate downtrend, consider bearish opportunities when confirmed by other factors
Gray Line (T3 Flat): Smoothed trend line is flat, indicates unclear trend or consolidation phase
Price Crossover Signals:
Price Crosses Above T3: Price breaks above smoothed trend line, may be bullish signal, requires confirmation from other indicators
Price Crosses Below T3: Price breaks below smoothed trend line, may be bearish signal, requires confirmation from other indicators
Price Position Relative to T3: Price sustained above T3 may indicate uptrend, sustained below may indicate downtrend
Supporting Analysis Signals:
T3 Slope Angle: Steeper slopes indicate stronger trend momentum, flatter slopes suggest weakening trends
Price Deviation: Significant price separation from T3 may indicate overextension, watch for pullback or reversal
Dynamic Support/Resistance: T3 line can serve as dynamic support (in uptrends) or resistance (in downtrends) reference
🎯 STRATEGIC APPLICATIONS
Common Usage Patterns:
The T3 Moving Average can be incorporated into trading analysis in various ways. These represent common approaches used by market participants, though effectiveness varies by market conditions and requires individual testing:
Trend Filtering:
T3 can be used as a trend filter by observing the relationship between price and the T3 line. The color-coded slope (green for rising, red for falling, gray for sideways) provides visual feedback about the current trend direction of the smoothed series.
Price Crossover Analysis:
Some traders monitor crossovers between price and the T3 line as potential indication points. When price crosses the T3 line, it may suggest a change in the relationship between current price action and the smoothed trend.
Multi-Timeframe Observation:
T3 can be applied to multiple timeframes simultaneously. Observing alignment or divergence between different timeframe T3 indicators may provide context about trend consistency across time scales.
Dynamic Reference Level:
The T3 line can serve as a dynamic reference level for price action analysis. Price distance from T3, price reactions when approaching T3, and the behavior of price relative to the T3 line can all be incorporated into market analysis frameworks.
Application Considerations:
Any trading application should be thoroughly tested on historical data before implementation
T3 performance characteristics vary across different market conditions and asset types
The indicator provides smoothed trend information but does not predict future price movements
Combining T3 with other analytical tools and market context improves analysis quality
Risk management practices remain essential regardless of the analytical approach used
📋 DETAILED PARAMETER CONFIGURATION
Source Selection:
Close Price (Default): Standard choice for end-of-period trend analysis, reduces intrabar noise
HL2 (High+Low)/2: Provides balanced view of price action, considers full bar range
HLC3 or OHLC4: Incorporates more price information, may provide smoother results
Selection Impact: Different sources affect signal timing and smoothness characteristics
Length Configuration:
Shorter periods: More responsive, faster reaction, frequent signals, but higher false signal risk in choppy markets
Longer periods: Smoother output, fewer signals, better for long-term trends, but slower response
Default 14 periods is a common baseline, but optimal length varies by asset, timeframe, and market conditions
Parameter selection should be determined through backtesting rather than general recommendations
Volume Factor Configuration:
Lower values (closer to 0.0): Increase responsiveness but also noise sensitivity
Higher values (closer to 1.0): Increase smoothness but slightly more lag
Default 0.7 (Tim Tillson's recommendation) provides good balance for most applications
Optimal value depends on signal frequency versus reliability preference, test for specific use case
Parameter Optimization Approach:
There are no universal "best" parameter values - optimal settings depend on the specific asset, timeframe, market regime, and trading strategy
Start with default values (Length: 14, Volume Factor: 0.7) and adjust based on observed performance in your target market
Conduct systematic backtesting across different market conditions to evaluate parameter sensitivity
Consider that parameters optimized for historical data may not perform identically in future market conditions
Monitor performance and be prepared to adjust parameters as market characteristics evolve
📈 DESIGN FEATURES & MARKET ADAPTATION
Algorithm Design Features:
Simple Moving Average (SMA): Equal weighting across lookback period
Exponential Moving Average (EMA): Exponentially decreasing weights on historical prices
T3 Moving Average: Recursive Generalized DEMA with adjustable volume factor
Market Condition Adaptation:
Trending markets: Smoothed indicators generally align more closely with sustained directional movement
Ranging markets: All moving averages may generate more crossover signals during non-trending periods
Volatile conditions: Higher smoothing parameters reduce short-term sensitivity but increase lag
Indicator behavior relative to market conditions should be evaluated for specific applications
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. The T3 Moving Average has limitations and should not be used as the sole basis for trading decisions. Like all trend-following indicators, its performance varies with market conditions, and past signal characteristics do not guarantee future results.
Key Points:
T3 is a lagging indicator that responds to price changes rather than predicting future movements
Signals should be confirmed with other technical tools and market context
Parameters should be optimized for specific market and timeframe
Risk management and position sizing are essential
Market regime changes can affect indicator effectiveness
Test strategies thoroughly on historical data before live implementation
Consider broader market context and fundamental factors
Kalman Filter [DCAUT]█ Kalman Filter
📊 ORIGINALITY & INNOVATION
The Kalman Filter represents an important adaptation of aerospace signal processing technology to financial market analysis. Originally developed by Rudolf E. Kalman in 1960 for navigation and guidance systems, this implementation brings the algorithm's noise reduction capabilities to price trend analysis.
This implementation addresses a common challenge in technical analysis: the trade-off between smoothness and responsiveness. Traditional moving averages must choose between being smooth (with increased lag) or responsive (with increased noise). The Kalman Filter improves upon this limitation through its recursive estimation approach, which continuously balances historical trend information with current price data based on configurable noise parameters.
The key advancement lies in the algorithm's adaptive weighting mechanism. Rather than applying fixed weights to historical data like conventional moving averages, the Kalman Filter dynamically adjusts its trust between the predicted trend and observed prices. This allows it to provide smoother signals during stable periods while maintaining responsiveness during genuine trend changes, helping to reduce whipsaws in ranging markets while not missing significant price movements.
📐 MATHEMATICAL FOUNDATION
The Kalman Filter operates through a two-phase recursive process:
Prediction Phase:
The algorithm first predicts the next state based on the previous estimate:
State Prediction: Estimates the next value based on current trend
Error Covariance Prediction: Calculates uncertainty in the prediction
Update Phase:
Then updates the prediction based on new price observations:
Kalman Gain Calculation: Determines the weight given to new measurements
State Update: Combines prediction with observation based on calculated gain
Error Covariance Update: Adjusts uncertainty estimate for next iteration
Core Parameters:
Process Noise (Q): Represents uncertainty in the trend model itself. Higher values indicate the trend can change more rapidly, making the filter more responsive to price changes.
Measurement Noise (R): Represents uncertainty in price observations. Higher values indicate less trust in individual price points, resulting in smoother output.
Kalman Gain Formula:
The Kalman Gain determines how much weight to give new observations versus predictions:
K = P(k|k-1) / (P(k|k-1) + R)
Where:
K is the Kalman Gain (0 to 1)
P(k|k-1) is the predicted error covariance
R is the measurement noise parameter
When K approaches 1, the filter trusts new measurements more (responsive).
When K approaches 0, the filter trusts its prediction more (smooth).
This dynamic adjustment mechanism allows the filter to adapt to changing market conditions automatically, providing an advantage over fixed-weight moving averages.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Visual Trend Indication:
The Kalman Filter line provides color-coded trend information:
Green Line: Indicates the filter value is rising, suggesting upward price momentum
Red Line: Indicates the filter value is falling, suggesting downward price momentum
Gray Line: Indicates sideways movement with no clear directional bias
Crossover Signals:
Price-filter crossovers generate trading signals:
Golden Cross: Price crosses above the Kalman Filter line, suggests potential bullish momentum development, may indicate a favorable environment for long positions, filter will naturally turn green as it adapts to price moving higher
Death Cross: Price crosses below the Kalman Filter line, suggests potential bearish momentum development, may indicate consideration for position reduction or shorts, filter will naturally turn red as it adapts to price moving lower
Trend Confirmation:
The filter serves as a dynamic trend baseline:
Price Consistently Above Filter: Confirms established uptrend
Price Consistently Below Filter: Confirms established downtrend
Frequent Crossovers: Suggests ranging or choppy market conditions
Signal Reliability Factors:
Signal quality varies based on market conditions:
Higher reliability in trending markets with sustained directional moves
Lower reliability in choppy, range-bound conditions with frequent reversals
Parameter adjustment can help adapt to different market volatility levels
🎯 STRATEGIC APPLICATIONS
Trend Following Strategy:
Use the Kalman Filter as a dynamic trend baseline:
Enter long positions when price crosses above the filter
Enter short positions when price crosses below the filter
Exit when price crosses back through the filter in the opposite direction
Monitor filter slope (color) for trend strength confirmation
Dynamic Support/Resistance:
The filter can act as a moving support or resistance level:
In uptrends: Filter often provides dynamic support for pullbacks
In downtrends: Filter often provides dynamic resistance for bounces
Price rejections from the filter can offer entry opportunities in trend direction
Filter breaches may signal potential trend reversals
Multi-Timeframe Analysis:
Combine Kalman Filters across different timeframes:
Higher timeframe filter identifies primary trend direction
Lower timeframe filter provides precise entry and exit timing
Trade only in direction of higher timeframe trend for better probability
Use lower timeframe crossovers for position entry/exit within major trend
Volatility-Adjusted Configuration:
Adapt parameters to match market conditions:
Low Volatility Markets (Forex majors, stable stocks): Use lower process noise for stability, use lower measurement noise for sensitivity
Medium Volatility Markets (Most equities): Process noise default (0.05) provides balanced performance, measurement noise default (1.0) for general-purpose filtering
High Volatility Markets (Cryptocurrencies, volatile stocks): Use higher process noise for responsiveness, use higher measurement noise for noise reduction
Risk Management Integration:
Use filter as a trailing stop-loss level in trending markets
Tighten stops when price moves significantly away from filter (overextension)
Wider stops in early trend formation when filter is just establishing direction
Consider position sizing based on distance between price and filter
📋 DETAILED PARAMETER CONFIGURATION
Source Selection:
Determines which price data feeds the algorithm:
OHLC4 (default): Uses average of open, high, low, close for balanced representation
Close: Focuses purely on closing prices for end-of-period analysis
HL2: Uses midpoint of high and low for range-based analysis
HLC3: Typical price, gives more weight to closing price
HLCC4: Weighted close price, emphasizes closing values
Process Noise (Q) - Adaptation Speed Control:
This parameter controls how quickly the filter adapts to changes:
Technical Meaning:
Represents uncertainty in the underlying trend model
Higher values allow the estimated trend to change more rapidly
Lower values assume the trend is more stable and slow-changing
Practical Impact:
Lower Values: Produces very smooth output with minimal noise, slower to respond to genuine trend changes, best for long-term trend identification, reduces false signals in choppy markets
Medium Values: Balanced responsiveness and smoothness, suitable for swing trading applications, default (0.05) works well for most markets
Higher Values: More responsive to price changes, may produce more false signals in ranging markets, better for short-term trading and day trading, captures trend changes earlier, adjust freely based on market characteristics
Measurement Noise (R) - Smoothing Control:
This parameter controls how much the filter trusts individual price observations:
Technical Meaning:
Represents uncertainty in price measurements
Higher values indicate less trust in individual price points
Lower values make each price observation more influential
Practical Impact:
Lower Values: More reactive to each price change, less smoothing with more noise in output, may produce choppy signals
Medium Values: Balanced smoothing and responsiveness, default (1.0) provides general-purpose filtering
Higher Values: Heavy smoothing for very noisy markets, reduces whipsaws significantly but increases lag in trend change detection, best for cryptocurrency and highly volatile assets, can use larger values for extreme smoothing
Parameter Interaction:
The ratio between Process Noise and Measurement Noise determines overall behavior:
High Q / Low R: Very responsive, minimal smoothing
Low Q / High R: Very smooth, maximum lag reduction
Balanced Q and R: Middle ground for most applications
Optimization Guidelines:
Start with default values (Q=0.05, R=1.0)
If too many false signals: Increase R or decrease Q
If missing trend changes: Decrease R or increase Q
Test across different market conditions before live use
Consider different settings for different timeframes
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Comparison with Traditional Moving Averages:
Versus Simple Moving Average (SMA):
The Kalman Filter typically responds faster to genuine trend changes
Produces smoother output than SMA of comparable length
Better noise reduction in ranging markets
More configurable for different market conditions
Versus Exponential Moving Average (EMA):
Similar responsiveness but with better noise filtering
Less prone to whipsaws in choppy conditions
More adaptable through dual parameter control (Q and R)
Can be tuned to match or exceed EMA responsiveness while maintaining smoothness
Versus Hull Moving Average (HMA):
Different noise reduction approach (recursive estimation vs. weighted calculation)
Kalman Filter offers more intuitive parameter adjustment
Both reduce lag effectively, but through different mechanisms
Kalman Filter may handle sudden volatility changes more gracefully
Response Characteristics:
Lag Time: Moderate and configurable through parameter adjustment
Noise Reduction: Good to excellent, particularly in volatile conditions
Trend Detection: Effective across multiple timeframes
False Signal Rate: Typically lower than simple moving averages in ranging markets
Computational Efficiency: Efficient recursive calculation suitable for real-time use
Optimal Use Cases:
Markets with mixed trending and ranging periods
Assets with moderate to high volatility requiring noise filtering
Multi-timeframe analysis requiring consistent methodology
Systematic trading strategies needing reliable trend identification
Situations requiring balance between responsiveness and smoothness
Known Limitations:
Parameters require adjustment for different market volatility levels
May still produce false signals during extreme choppy conditions
No single parameter set works optimally for all market conditions
Requires complementary indicators for comprehensive analysis
Historical performance characteristics may not persist in changing market conditions
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. The Kalman Filter's effectiveness varies with market conditions, tending to perform better in markets with clear trending phases interrupted by consolidation. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions, but rather as part of a comprehensive trading approach.
Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always test thoroughly with different parameter settings across various market conditions before using in live trading. No technical indicator can predict future price movements with certainty, and all trading involves risk of loss.
Candle Opens by HAZED🎯 Candle Opens by HAZED - Multi-Timeframe Open Levels Indicator
📊 Overview
This powerful indicator displays multiple timeframe opening prices on your chart, providing crucial reference levels that institutional traders and algorithms frequently monitor. Track up to 7 different timeframe opens simultaneously, from 1-hour to yearly, with advanced visualization features including dynamic coloring, heatmap analysis, and real-time status tracking.
✨ Key Features
📈 Multi-Timeframe Support:
- 1H, 4H, Daily, Weekly, Monthly, Quarterly, and Yearly opens
- Each timeframe can be individually enabled/disabled
- Automatic visibility adjustment based on chart timeframe
🎨 Dynamic Visual System:
- Smart Color Coding: Lines automatically change color based on price position (green above, red below)
- Customizable Styling: Adjust line thickness, transparency, and colors
- Intelligent Line Positioning: Choose between equal-length or staggered lines for better visibility
- Enhanced Labels: Display timeframe only or include price with colored background
🌈 Advanced Heatmap:
- Background coloring shows overall market sentiment across all timeframes
- Gradient or solid color modes
- Instantly see when multiple timeframes align bullish or bearish
📊 Status Table Dashboard:
- Real-time overview of all active opens
- Shows current price position relative to each open
- Simplified view when all timeframes align
- Customizable position and font style
⚙️ Professional Tools:
- Alert system for new open levels
- Extended hours session support
- Price discovery mode for EOD/intraday discrepancies
- Left/right line extensions for enhanced visibility
💡 Trading Applications
Support & Resistance:
Opening prices act as natural support/resistance levels. Price often reacts at these levels, providing entry/exit opportunities.
Trend Confirmation:
When price is above multiple opens (especially higher timeframes), it confirms bullish momentum. The opposite indicates bearish pressure.
Mean Reversion:
Price tends to revert to significant opens, particularly daily and weekly levels. Use these as targets for counter-trend trades.
Breakout Trading:
Monitor when price breaks above/below clustered opens for potential continuation moves.
Risk Management:
Use opens as logical stop-loss levels or position sizing references based on distance from key opens.
🔧 Indicator Settings
Timeframes Section:
- Toggle each timeframe on/off
- Customize individual colors
Visual Style Section:
- Dynamic Colors: Auto-color based on price position
- Line Thickness: 1-4 pixels
- Transparency: 0-80%
- Extension Length: How far lines extend right
- Label Style: Plain or enhanced with price
Heatmap Section:
- Enable/disable background coloring
- Adjust transparency
- Choose gradient or solid zones
Status Table Section:
- Position on chart
- Font selection
Advanced Section:
- Enable alerts for new opens
- Price discovery mode
- Extended hours inclusion
]📈 Best Practices
1. Timeframe Selection:
- For intraday: Focus on 1H, 4H, and Daily
- For swing trading: Daily, Weekly, Monthly
- For position trading: Monthly, Quarterly, Yearly
2. Color Coding:
- Enable dynamic colors for instant sentiment reading
- Use heatmap for overall market bias
3. Confluence Zones:
- Pay special attention when multiple opens cluster
- These zones often produce stronger reactions
4. Alignment Signals:
- When all timeframes show same color = strong trend
- Mixed colors = potential consolidation or reversal zone
🎯 Pro Tips
- Volume Confirmation: Combine with volume indicators to confirm reactions at open levels
- Multiple Instruments: Compare opens across correlated assets for divergences
- News Events: Opens often act as magnets after major news releases
- Options Trading: Weekly and monthly opens align with options expiry levels
- Algorithmic Levels: Many algorithms use these opens for entries/exits
🔄 Updates in Version 8.3
- Added 1H and 4H timeframe support
- Enhanced dynamic color system
- Implemented heatmap visualization
- Added real-time status table
- Optimized performance for smoother operation
- Improved label styling options
- Better yearly timeframe detection
⚡ Performance Optimizations
This indicator uses advanced Pine Script v6 features for optimal performance:
- Efficient object reuse instead of recreation
- Smart calculation loops
- Minimal repainting
- Optimized for real-time updates
📝 Notes
- Works on all markets (stocks, forex, crypto, futures)
- Best on timeframes lower than the opens you're tracking
- Lines automatically hide when their timeframe is lower than chart timeframe
- Past opens are not displayed (indicator shows current opens only)
🙏 Credits & Support
Created by HAZED | Version 8.3
Optimized for TradingView Pine Script v6
For questions, suggestions, or bug reports, please comment below.
If you find this indicator useful, please consider leaving a like and a follow!
Remember: No indicator is perfect. Always use proper risk management and combine multiple confirmation signals in your trading decisions.
Simple Pivot Zones (Error-free) — v11. Core Idea
The indicator we built is a “pivot-based zone detector with breakout signals.”
It does three things:
1. Finds important swing highs and swing lows in price (pivots).
2. Creates support and resistance zones around those pivots using volatility (ATR).
3. Watches price action to see if those zones get broken, then gives signals.
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2. What is a Pivot?
A pivot high happens when the price makes a local peak — a bar is higher than the bars around it.
A pivot low happens when the price makes a local dip — a bar is lower than the bars around it.
These are natural turning points in the market, showing where buyers or sellers had strong control temporarily. Traders often use them to draw support (pivot lows) and resistance (pivot highs).
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3. Why Use ATR for Zones?
ATR (Average True Range) measures the average volatility of a market. Instead of drawing just a flat line at the pivot, we create a zone above and below it, sized according to ATR.
Example:
• If ATR is 20 points and zone size is 0.5, then the zone extends 10 points above and below the pivot level.
This turns thin “lines” into thicker areas of interest. Real markets don’t respect razor-thin levels, but zones are more realistic.
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4. How Support & Resistance Zones Work
• Resistance zones are created at pivot highs. They mark where sellers were strong before.
• Support zones are created at pivot lows. They mark where buyers were strong before.
Over time, these zones extend forward until the price interacts with them.
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5. Breakout Detection
The indicator checks whether the price closes beyond the last pivot high or low:
• If price closes above the last pivot high, it means buyers have broken resistance.
• If price closes below the last pivot low, it means sellers have broken support.
These moments are significant because they often trigger trend continuation.
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6. Parameters It Uses
1. Pivot Length – how many bars to look back and forward to confirm a pivot. A higher length makes pivots less frequent but stronger.
2. ATR Length and Multiplier – defines the size of the zones (wider zones in more volatile markets).
3. Max Zones to Keep – avoids clutter by keeping only the most recent zones.
4. Colors & Styling – helps traders visually separate bullish and bearish zones.
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7. How It Helps Traders
• Visual clarity: Instead of guessing support and resistance, the chart automatically highlights them.
• Dynamic adjustment: Zones adapt to volatility using ATR, making them useful in both calm and volatile markets.
• Breakout signals: Traders get notified when price actually breaks key levels, instead of reacting late.
• Cleaner charts: Instead of dozens of hand-drawn lines, the tool manages zones for you, deleting old ones.
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8. The Logic in One Sentence
It finds important swing highs and lows, turns them into support/resistance zones scaled by volatility, and alerts you when the market breaks through them.
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👉 In practice, this helps traders spot where the market is likely to bounce or break, and gives a framework to plan trades — for example, buying on bullish breakouts or selling on bearish breakouts.
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Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)"
Instructions for use (Professional Manual)
1. a basic concept
By vertical axis (price), shows the cumulative trading volume traded in the segment.
The longer the block, the more transactions took place in that price range.
Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage).
2. Key components
POC (Point of Control)
→ Longest block (most traded price segment, "key selling point").
VAH / VAL (Value Area High/Low)
→ Top/bottom segments where approximately 70% of the total volume is formed.
→ Role of "Major Support/Resistance".
High Capacity Node (HVN)
→ Significantly higher trading volumes → strong support/resistance.
Low Volume Node (LVN)
→ Low volume section → areas where prices are easily passed.
3. practical application
Find Support/Resistance
The thickest block (POC) is used as a place where prices often rebound/resist.
a trading entry/liquidation strategy
Buy if the price is supported near HVN,
When breaking through the LVN, fast movement (gap movement) can be expected.
break/goal setting
Finger = Under the LVN,
Target = Next HVN.
Judgment of trends
When the block distribution is concentrated above, "Increase to Collection Section"
If you're driven below, you're "in a downtrend to a variance section."
4. Precautions
The volume distribution is "past data based" and is not an indicator of the future.
Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns.
In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall.
In summary, this block indicator is "a map showing the most market participants at any price point".
In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
TRAPPER TRENDLINES — PRICEDraws dynamic trendlines on price by connecting the two most recent confirmed swing points (highs to highs for resistance, lows to lows for support). Swings are defined with a symmetric left/right pivot window. Old anchors are ignored so lines stay attached to current structure. Optional break alerts are included.
How it works (plain language)
Pivots: A bar is a swing high (or low) only if it’s the most extreme point compared with a set number of bars on the left and the right.
Lines:
Support connects the last two confirmed swing lows.
Resistance connects the last two confirmed swing highs.
Lines can be extended right only or both left & right (toggle).
Recency filter: Only swings within the last N bars are kept. This avoids anchoring to very old pivots far from current price.
Alerts: Optional alerts fire when price closes above resistance or below support.
Inputs
Auto Settings
Auto pivot size by chart timeframe: When ON, the script picks a pivot size suitable for the current timeframe (you can scale it with Auto pivot multiplier). When OFF, the manual left/right inputs are used.
Auto pivot multiplier: Scales the auto pivot size (e.g., 1.5 makes pivots stricter).
Manual Pivots
Pivot Left / Pivot Right: Bars to the left/right required to confirm a swing. Example: Left=50 & Right=50 keeps only major swings.
Recency Filter
Use last N bars for pivots: Swings older than this window are discarded so trendlines stay relevant to current price.
Style
Support/Resistance color: Line colors.
Extend Left & Right: When ON, both endpoints extend; when OFF, lines extend to the right only.
Alerts
Enable Break Alerts: When ON, alert conditions are exposed:
Price: Break Up — close above resistance.
Price: Break Down — close below support.
Suggested settings
Higher timeframes (4H / 1D / 1W):
Manual: Pivot Left = 50, Pivot Right = 50, Use last N bars = 400–800.
Or enable Auto with Auto pivot multiplier = 1.0–1.5.
Intraday (15m / 30m / 1H):
Manual: Pivot Left = 30, Pivot Right = 30, Use last N bars = 300–500.
Or enable Auto with multiplier ≈ 1.0–1.2.
Pairing with RSI for confluence/divergence
This tool is designed to pair with a companion TRAPPER TRENDLINES — RSI (or any RSI trendline script):
To mirror swings, set RSI Pivot Lookback equal to the price Pivot Left/Right you use here.
Example: Price = 50/50 → RSI Pivot Lookback = 50.
Keep RSI at Length 14 with 70/30 channel for clarity.
Confluence: Price holds/rejects at a trendline while RSI trendline agrees.
Divergence: Price prints a higher high (resistance line rising) while RSI prints a lower high (RSI resistance line falling), or vice-versa for lows. Matching pivot windows makes these relationships clear and reduces false signals.
Reading the signals
Trendline touch/hold: Potential reaction area; wait for follow-through.
Break Up / Break Down (alerts): Close beyond the line. Consider retest behavior, higher-timeframe context, and volume/RSI confirmation.
Notes & limitations
Pivots require future bars to confirm (by design). Lines update as pivots confirm.
“Use last N bars” purposely ignores very old swings. Increase this value if you need legacy structure.
Lines are based on two most recent confirmed pivots per side; rapidly changing markets can replace anchors as new swings confirm.
This is a visual/analytical tool. No strategy entries/exits or performance claims are provided.
Compliance
This script is for educational purposes only and does not constitute financial advice. Trading involves risk. Past results do not guarantee future outcomes. No promises of profit, accuracy, or performance are made.
Alerts (titles/messages)
Price: Break Up — “Price broke above resistance trendline.”
Price: Break Down — “Price broke below support trendline.”
Quick start
Add the indicator to your chart.
Choose Auto or set Pivot Left/Right manually.
Set Use last N bars for how far back to consider swings.
Toggle Extend Left & Right to your preference.
(Optional) Add your RSI trendline indicator and match Pivot Lookback with your price pivot size for clean confluence/divergence.
Enable alerts if you want notifications on breaks.
