Implied Fair Value Gap (IFVG) ICT [TradingFinder] Hidden FVG OTE🔵 Introduction
The Implied Fair Value Gap (IFVG) is distinctive due to its unique three-candlestick formation, which differentiates it from conventional Fair Value Gaps.
Implied fair value represents an estimated worth of an asset—often a business or its goodwill—based on the price likely to be received in a structured transaction between market participants at a specific point in time.
In the ever-evolving world of technical analysis, pinpointing price reversal points and market anomalies can significantly enhance trading strategies and decision-making for traders and investors. Among the advanced concepts gaining traction in this field is the Implied Fair Value Gap (IFVG), introduced by the renowned analyst Inner Circle Trader (ICT).
This tool has proven to be an effective method for identifying hidden supply and demand zones in financial markets, offering a unique edge to traders looking for high-probability setups.
Unlike traditional gaps that are visible on price charts, IFVG is a hidden gap that doesn’t appear explicitly on the chart and thus requires specialized technical analysis tools for accurate identification.
This hidden gap can signal potential price reversals and offers traders insight into high-liquidity areas where price is likely to react. This article will guide you through using the ICT Implied Fair Value Gap Indicator effectively, covering its settings, usage strategies, and key features to help you make informed decisions in the market.
🟣 Bullish Implied FVG
🟣 Bearish Implied FVG
🔵 How to Use
The IFVG indicator is designed to assist traders in recognizing hidden support and resistance zones by identifying Bullish and Bearish IFVG patterns. With this tool, traders can make better-informed decisions about suitable entry and exit points for their trades based on these patterns.
🟣 Bullish Implied Fair Value Gap
This pattern occurs in an uptrend when a large bullish candlestick forms, with the wicks of the previous and following candles overlapping the body of the central candlestick.
This overlap creates a demand zone or a hidden support level, which can act as an ideal entry point for buy trades. Often, when the price returns to this area, it is likely to resume its upward trend, presenting a profitable buying opportunity.
🟣 Bearish Implied Fair Value Gap
This pattern is similar but forms in downtrends. Here, a large bearish candlestick appears on the chart, with the wicks of adjacent candles overlapping its body. This overlap defines a supply zone or a hidden resistance level and serves as a signal for potential sell trades.
When the price returns to this zone, it often continues its downward trend, providing an optimal point for entering sell trades.
The IFVG indicator also includes various filters that traders can use to refine their analysis based on market conditions. These filters, including Very Aggressive, Aggressive, Defensive, and Very Defensive, allow users to customize the IFVG zones' width, offering flexibility according to the trader’s risk tolerance and trading style.
🟣 Example Trading Scenarios
Suppose you’re in a strong uptrend and the IFVG indicator identifies a Bullish IFVG zone. In this scenario, you could consider entering a buy trade when the price retraces to this zone, expecting the uptrend to resume. Conversely, in a downtrend, a Bearish IFVG zone can signal a favorable entry point for short trades when the price revisits this area.
🔵 Settings
Implied Block Validity Period: This parameter specifies the validity period of each identified block, taking into account the number of bars that have passed since its formation. Proper adjustment of this period helps traders focus only on relevant zones, increasing the accuracy of the analysis.
Mitigation Level OB : This option defines the mitigation level for supply and demand blocks (Order Blocks), with settings including Proximal, 50% OB, and Distal.
Depending on the selected level, the indicator will focus on closer, mid-range, or farther points for block identification, allowing traders to adjust for the level of precision required.
Implied Filter : Activating this filter allows traders to apply conditions based on the width of the IFVG zones. With options like Very Aggressive and Very Defensive, traders can control the width of IFVG zones to suit their risk management strategy—whether they prefer high-risk setups or low-risk setups.
Display and Color Settings : This section enables users to customize the appearance of the IFVG zones on their charts. Traders can set different colors for Bullish and Bearish zones, allowing for easier distinction and improved visualization.
Alert Settings : One of the standout features of the IFVG indicator is the alert system. By setting up alerts, users can be notified whenever the price approaches a demand or supply zone.
Alerts can be customized to trigger Once Per Bar (one alert per bar) or Per Bar Close (alert at the close of each bar), ensuring that traders stay updated on critical price movements without needing to monitor the chart continuously.
🔵 Conclusion
The ICT Implied Fair Value Gap (IFVG) indicator is a powerful and sophisticated tool in technical analysis, allowing professional traders to identify hidden supply and demand zones and use them as entry and exit points for buy and sell trades.
This indicator’s automatic detection of IFVG zones helps traders uncover hidden trading opportunities that can enhance their analysis.
While the IFVG indicator offers numerous advantages, it is important to use it in conjunction with other technical analysis tools and sound risk management practices.
IFVG alone does not guarantee profitability in trading; it works best when combined with other indicators such as volume analysis and trend-following indicators for a comprehensive trading strategy.
Educational
Ido strategy RSI Oversold with MACD Buy Signal Indicator
This indicator combines the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD) to help identify potential buy signals based on oversold conditions and trend reversals. This script is designed for traders looking to identify entry points when an asset is likely undervalued (oversold) and showing bullish momentum.
How It Works
RSI Oversold Detection: The RSI measures the speed and change of price movements. This indicator flags when the RSI falls below 30, signaling that the asset may be oversold. The user can customize the RSI lookback period and the timeframe within which oversold conditions are considered relevant.
MACD Crossover: The MACD line crossing above the Signal line often indicates a shift to bullish momentum. In this script, a buy signal is generated when a MACD bullish crossover occurs after an RSI oversold condition has been met within a user-defined lookback window.
Buy Signal: A green triangle appears below the price chart each time both conditions are met—when the RSI has recently been in oversold territory and the MACD line crosses above the Signal line. This signal suggests that the asset may be positioned for a potential upward trend, providing a visual cue for entry points.
Customizable Settings
RSI Settings: Adjust the RSI source and period length.
MACD Settings: Customize the fast, slow, and signal lengths of the MACD to suit different market conditions.
Lookback Period: Define how many bars back to check for an RSI oversold condition before confirming a MACD crossover.
Visual Elements
Oversold Background Color: The background on the price chart is shaded red whenever the RSI is below 30.
Buy Signal: A green triangle is displayed on the chart to indicate a potential entry point when both conditions are met.
Alerts
This indicator includes optional alerts, allowing traders to receive notifications whenever the conditions for a buy signal are met, making it easier to monitor multiple assets and stay informed of trading opportunities.
This indicator is ideal for traders using a combination of momentum and trend reversal strategies, especially in volatile markets where oversold conditions often precede a trend change.
Cumulative Volume Delta Custom AlertDescription
This script calculates and visualizes the Cumulative Volume Delta (CVD) on multiple timeframes, enabling traders to monitor volume-based price action dynamics. The CVD is calculated based on up and down volume approximations and displayed as a candle plot, with color-coded alerts when significant changes occur.
Key Features:
Multi-Timeframe Analysis: The script uses a customizable anchor period and a lower timeframe for scanning, allowing it to capture more granular volume movements.
Volume-Based Trend Detection: Plots CVD candles with color indicators (teal for increasing volume delta, red for decreasing), helping traders to visually track volume trends.
Dynamic Alerts for Volume Shifts:
Triggers an alert when there is a significant (over 25%) change in CVD between consecutive periods.
The alert marker color adapts based on the current CVD value:
Blue when the current CVD is positive.
Yellow when the current CVD is negative.
Markers are placed above bars for volume increases and below for volume decreases, simplifying visual analysis.
Customizable Background Highlight: Adds a background highlight to emphasize significant CVD changes.
Use Cases:
Momentum Detection: Traders can use alerts on large volume delta changes to identify potential trend reversals or continuation points.
Volume-Driven Analysis: CVD helps distinguish buy and sell pressure across different timeframes, ideal for volume-based strategies.
How to Use
Add the script to your TradingView chart.
Configure the anchor and lower timeframes in the input settings.
Set up alerts to receive notifications when a 25% change in CVD occurs, with color-coded markers for easy identification.
Silen's EMA AreasAre you tired of reading candles? 🧨 Do you want to bring more meaning to your chart? 🧹
Then this is the script for you!
This script does:
- Add several meaningfully pre-configured EMA lines to your chart - up to EMA 300
- Colors the areas between EMA lines in 3d colors - green and red
- The Smaller the EMA, the firmer the color
- Highlights the EMA 300 in a golden color
What is the meaning of this?
Let me introduce a new word to you: EMA FOLDING .
Yes, you heard right. With this indicator you can see in 3D how EMA lines are folding above and below each other, indicating severe mood swings in the chart.
This helps you keep track of what your instrument is actually doing while it enables you to cancel out the noise and messyness of ordinary candles which can be quite random and hard to read.
Once an EMA is fully positive or negatively folded (all ema lines are green and above each other from largest EMA to smallest EMA and vice versa for negatively folded) you can be sure that you are in a Trend or certain mood (for higher timeframes, from 15mins on).
I don't ever want to read any chart without having this indicator on. Whenever I present charts to anybody I use this indicator - and the feedback is insanely positive. People tend to read and understand charts much better with this indicator than just staring at candles.
Why is this indicator different to other EMA indicators and should thereby not be deleted by the TradingView Team due to redundance with other EMA indicators?
- This is not a simple indicator for EMAs
- Rather, this is an indicator to better and easier read the whole chart
- You can detect mood swings very easily which is very hard to do with a normal EMA indicator
- I haven't found any EMA indicator on TradingView that does this job so i sincerely believe it is extremely unique
- I sincerely believe it can help people get a much better understanding of charts without actualy getting into details of EMA's or even needing to know what an EMA is.
This indicator isn't intended for trading purposes, rather it is intended to give you a better and easier understanding of the chart. Of course - you can also use it for your trading but like I said, that is not the primary intended purpose.
This indicator comes pre-configured with quite optimal values (in my opinion) but of course can be fully customized. 🧮
Test it for yourself!
XRP Comparative RSI Indicator - Final VersionXRP Comparative RSI Indicator - Final Version
The XRP Comparative RSI Indicator offers a dynamic analysis of XRP’s market positioning through relative strength index (RSI) comparisons across various cryptocurrencies and major market indicators. This indicator allows traders and analysts to gauge XRP’s momentum and potential turning points within different market conditions.
Key Features:
• Normalized RSIs: Each RSI value is normalized between 0.00 and 1.00, allowing seamless comparison across multiple assets.
• Grouped Analysis: Three RSI groups provide specific insights:
• Group 1 (XRP-Specific): Measures XRPUSD, XRP Dominance (XRP.D), and XRP/BTC, focusing on XRP’s performance across different trading pairs.
• Group 2 (Market Influence - Bitcoin): Measures BTCUSD, BTC Dominance (BTC.D), and XRP/BTC, capturing the influence of Bitcoin on XRP.
• Group 3 (Liquidity Impact): Measures USDT Dominance (USDT.D), BTCUSD, and ETHUSD, evaluating the liquidity impact from key assets and stablecoins.
• Individual Asset RSIs: Track the normalized RSI for each specific pair or asset, including XRPUSD, BTCUSD, ETHUSD, XRP/BTC, BTC Dominance, ETH Dominance, and the S&P 500.
• Clear Color Coding: Each asset’s RSI is plotted with a unique color scheme, consistent with the first indicator, for easy recognition.
This indicator is ideal for identifying relative strengths, potential entry and exit signals, and understanding how XRP’s momentum aligns or diverges from broader market trends.
BTC ETF Flow Trading SignalsTracks large money flows (500M+) across major Bitcoin ETFs (IBIT, BTCO, FBTC, ARKB, BITB)
Generates long/short signals based on institutional money movement
Shows flow trends and strength of movements
This script provides a foundation for comparing ETF inflows and Bitcoin price. The effectiveness of the analysis depends on the quality of the data and your interpretation of the results. Key levels of 500M and 350M Inflow/Outflow Enjoy
Collaboration with Vivid Vibrations
Enjoy & improve!
Previous Day High/Low ±0.5%The simple script was written for the educational purposes, to check if the simple system can help to hedge your strategic portfolio. Mainly works with Indexes (tested on IRUS). You can optimize strategy by changing the % in the pine code. Working mainly on D timeframe.
Current script gives you the lines on the graph, you should check if the current day close price is above the high line - buy, if below - close your buy, or reverce your position to sell, if you go in short.
XRP Comparative Price Action Indicator - Final VersionXRP Comparative Price Action Indicator - Final Version
The XRP Comparative Price Action Indicator provides a comprehensive visual analysis of XRP’s price movements relative to key cryptocurrencies and market indices. This indicator normalises price data across various assets, allowing traders and investors to assess XRP’s performance against its peers and major market influences at a glance.
Key Features:
• Normalised Price Data: Prices are scaled between 0.00 and 1.00,
enabling straightforward comparisons between different assets.
• Key Comparisons: Includes normalised prices for:
• XRP/USD (Bitstamp)
• XRP Dominance (CryptoCap)
• XRP/BTC (Bitstamp)
• BTC/USD (Bitstamp)
• BTC Dominance (CryptoCap)
• USDT Dominance (CryptoCap)
• S&P 500 (SPY)
• DXY (Dollar Index)
• ETH/USD (Bitstamp)
• ETH Dominance (CryptoCap)
• XRP/ETH (Binance)
• Visual Clarity: Each asset is plotted with distinct colors for easy identification,
with thicker lines enhancing visibility on the chart.
• Reference Lines: Optional horizontal lines indicate the minimum (0) and maximum (1) normalised values, providing clear reference points for analysis.
This indicator is ideal for traders looking to understand XRP’s relative performance, gauge market sentiment, and make informed trading decisions based on comparative price action.
Gradient color Candlesthis is a simple candle colouring script that sets the colour of the candles to a gradient and the length of the gradient can be set by a user defined number of bars
Trade 1 + StatergyThe Relative Strength Index (RSI) is a momentum oscillator used in technical analysis that measures the speed and change of price movements of a security within a range of 0 to 100. It is most commonly set to a 14-period timeframe and helps traders identify overbought or oversold conditions, suggesting potential reversal points in the market. Divergence occurs when the price trend and the RSI trend move in opposite directions. A bullish divergence signals potential upward movement when prices are making new lows while the RSI makes higher lows. Conversely, a bearish divergence suggests a possible downward trend when prices are making new highs but the RSI is making lower highs. These signals are crucial for traders looking to capture shifts in momentum and adjust their trading strategies accordingly.
use full to
5 min
10 min
15 min decition
SMA- Ashish SinghSMA
This script implements a Simple Moving Average (SMA) crossover strategy using three SMAs: 200-day, 50-day, and 20-day, with buy and sell signals triggered based on specific conditions involving these moving averages. The indicator is overlaid on the price chart, providing visual cues for potential buy and sell opportunities based on moving average crossovers.
Key Features:
Moving Averages:
The 200-day, 50-day, and 20-day SMAs are calculated and plotted on the price chart. These are key levels that traders use to assess trends.
The 200-day SMA represents the long-term trend, the 50-day SMA is used for medium-term trends, and the 20-day SMA is for short-term analysis.
Buy Signal:
A buy signal is triggered when the price is below all three moving averages (200 SMA, 50 SMA, 20 SMA) and the SMAs are in a specific downward trend (200 SMA > 50 SMA > 20 SMA). This is an indication of a potential upward reversal.
The buy signal is marked with a green triangle below the price bar.
Sell Signal:
A sell signal is triggered when the price is above all three moving averages and the SMAs are in a specific upward trend (200 SMA < 50 SMA < 20 SMA). This signals a potential downward reversal.
The sell signal is marked with a red triangle above the price bar.
Trade Information:
After a buy signal, the buy price, bar index, and timestamp are recorded. When a sell signal occurs, the percentage gain or loss is calculated along with the number of days between the buy and sell signals.
The script automatically displays a label on the chart showing the gain or loss percentage along with the number of days the trade lasted. Green labels represent gains, and red labels represent losses.
User-friendly Visuals:
The buy and sell signals are plotted as small triangles directly on the chart for easy identification.
Detailed trade information is provided with well-formatted labels to highlight the profit or loss after each trade.
How It Works:
This strategy helps traders to identify trend reversals by leveraging long-term and short-term moving averages.
A single buy or sell signal is triggered based on price movement relative to the SMAs and their order.
The tool is designed to help traders quickly spot buying and selling opportunities with clear visual indicators and gain/loss metrics.
This indicator is ideal for traders looking to implement a systematic SMA-based strategy with well-defined buy/sell points and automatic performance tracking for each trade.
Disclaimer: The information provided here is for educational and informational purposes only. It is not intended as financial advice or as a recommendation to buy or sell any stocks. Please conduct your own research or consult a financial advisor before making any investment decisions. ProfitLens does not guarantee the accuracy, completeness, or reliability of any information presented.
Pine Execution MapPine Script Execution Map
Overview:
This is an educational script for Pine Script developers. The script includes data structure, functions/methods, and process to capture and print Pine Script execution map of functions called while pine script execution.
Map of execution is produced for last/latest candle execution.
The script also has example code to call execution map methods and generate Pine Execution map.
Use cases:
Pine script developers can get view of how the functions are called
This can also be used while debugging the code and know which functions are called vs what developer expect code to do
One can use this while using any of the open source published script and understand how public script is organized and how functions of the script are called.
Code components:
User defined type
type EMAP
string group
string sub_group
int level
array emap = array.new()
method called internally by other methods to generate level of function being executed
method id(string tag) =>
if(str.startswith(tag, "MAIN"))
exe_level.set(0, 0)
else if(str.startswith(tag, "END"))
exe_level.set(0, exe_level.get(0) - 1)
else
exe_level.set(0, exe_level.get(0) + 1)
exe_level.get(0)
Method called from main/global scope to record execution of main scope code. There should be only one call to this method at the start of global scope.
method main(string tag) =>
this = EMAP.new()
this.group := "MAIN"
this.sub_group := tag
this.level := "MAIN".id()
emap.push(this)
Method called from main/global scope to record end of execution of main scope code. There should be only one call to this method at the end of global scope.
method end_main(string tag) =>
this = EMAP.new()
this.group := "END_MAIN"
this.sub_group := tag
this.level := 0
emap.push(this)
Method called from start of each function to record execution of function code
method call(string tag) =>
this = EMAP.new()
this.group := "SUB"
this.sub_group := tag
this.level := "SUB".id()
emap.push(this)
Method called from end of each function to record end of execution of function code
method end_call(string tag) =>
this = EMAP.new()
this.group := "END_SUB"
this.sub_group := tag
this.level := "END_SUB".id()
emap.push(this)
Pine code which generates execution map and show it as a label tooltip.
if(barstate.islast)
for rec in emap
if(not str.startswith(rec.group, "END"))
lvl_tab = str.repeat("", rec.level+1, "\t")
txt = str.format("=> {0} {1}> {2}", lvl_tab, rec.level, rec.sub_group)
debug.log(txt)
debug.lastr()
Snapshot 1:
This is the output of the script and can be viewed by hovering mouse pointer over the blue color diamond shaped label
Snapshot 2:
How to read the Pine execution map
Immediate Rebalance ICT [TradingFinder] No Imbalances - MTF Gaps🔵 Introduction
The concept of "Immediate Rebalance" in technical analysis is a powerful and advanced strategy within the ICT (Inner Circle Trader) framework, widely used to identify key market levels.
Unlike the "Fair Value Gap," which leaves a price gap requiring a retracement for a fill, an Immediate Rebalance fills the gap immediately, representing an instant balance that strengthens the prevailing market trend. This structure allows traders to quickly spot critical price zones, capitalizing on strong trend continuations without the need for price retracement.
The "Immediate Rebalance ICT" indicator leverages this concept, providing traders with automated identification of critical supply and demand zones, order blocks, liquidity voids, and key buy-side and sell-side liquidity levels.
Through features like crucial liquidity points and immediate rebalancing areas, this tool enables traders to perform precise real-time market analysis and seize profitable opportunities.
🔵 How to Use
The Immediate Rebalance indicator assists traders in identifying reliable trading signals by detecting and analyzing Immediate Rebalance zones. By focusing on supply and demand areas, the indicator pinpoints optimal entry and exit positions.
Here’s how to use the indicator in both bearish (Supply Immediate Rebalance) and bullish (Demand Immediate Rebalance) structures :
🟣 Bullish Structure (Demand Immediate Rebalance)
In a bullish scenario, the indicator detects a Demand Immediate Rebalance formed by two consecutive bullish candles with overlapping wicks. This structure signifies an immediate demand zone, where price instantly balances within the zone, reducing the likelihood of a revisit and indicating potential upside momentum.
Zone Identification : Look for two consecutive bullish candles with overlapping wicks, forming a demand zone. This structure, due to its rapid balance, usually does not require a revisit and supports further upward movement.
Entry and Exit Levels : If price revisits this zone, percentage markers, particularly 50% and 75%, act as supportive levels, creating ideal entry points for long positions.
Example : In the second image, an example of a Demand Immediate Rebalance is shown, where overlapping bullish candle shadows indicate immediate balance, supporting the continuation of the bullish trend.
🟣 Bearish Structure (Supply Immediate Rebalance)
In a bearish setup, the indicator identifies a Supply Immediate Rebalance when two consecutive bearish candles with overlapping wicks appear. This formation signals an immediate supply zone, suggesting a high probability of trend continuation to the downside, with minimal expectation for price to retrace back to this area.
Zone Identificatio n: Look for two consecutive bearish candles with overlapping shadows. This structure forms a supply area where price is expected to continue its downtrend without revisiting the zone.
Entry and Exit Level s: Should price revisit this zone, percentage-based levels (e.g., 50% and 75%) serve as potential resistance points, optimizing entry for short positions, especially if the downtrend is expected to persist.
Example : The attached chart illustrates a Supply Immediate Rebalance, where overlapping candle shadows define this area, reassuring traders of a continued downward trend with a low likelihood of price returning to this zone.
🔵 Settings
ImmR Filter : This filter allows users to adjust the detection of Immediate Rebalance zones in four modes, from "Very Aggressive" to "Very Defensive," based on zone width. The chosen mode controls the sensitivity of Immediate Rebalance detection, allowing users to fine-tune the indicator to their trading style.
Multi Time Frame : Enabling this option allows users to set the indicator to a specific timeframe (1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, weekly, or monthly), broadening the perspective for identifying Immediate Rebalance zones across multiple timeframes.
🔵 Conclusion
The Immediate Rebalance indicator, based on rapid balancing zones within supply and demand areas, serves as a powerful tool for market analysis and improving trade decision-making.
By accurately identifying zones where price achieves instant balance without gaps, the indicator highlights areas likely to support strong trend continuations, exempt from common retracements.
The indicator’s use of percentage levels enables traders to pinpoint optimal entry and exit points more effectively, with levels like 50% and 75% acting as support within demand zones and resistance within supply zones. This empowers traders to ride strong trends without the worry of abrupt reversals.
Overall, the Immediate Rebalance is a reliable tool for both professional and beginner traders seeking precise methods to recognize supply and demand zones, capitalizing on consistent trends.
By choosing appropriate settings and focusing on the zones highlighted by this indicator, traders can enter trades with greater confidence and improve their risk management.
Patrick [TFO]This Patrick indicator was made for the 1 year anniversary of my Spongebob indicator, which was an experiment in using the polyline features of Pine Script to draw complex subjects. This indicator was made with the same methodology, with some helper functions to make things a bit easier on myself. It's sole purpose is to display a picture of Patrick Star on your chart, particularly the "I have $3" meme.
The initial Spongebob indicator included more than 1300 lines of code, as there were several more shapes to account for compared to Patrick, however it was done rather inefficiently. I essentially used an anchor point for each "layer" or shape (eye, nose, mouth, etc.), and drew from that point. This resulted in a ton of trial and error as I had to be very careful about the anchor points for each and every layer, and then draw around that point. In this indicator, however, I gave myself a frame to work with by specifying fixed bounds that you'll see in the code: LEFT, RIGHT, TOP, and BOTTOM.
var y_size = 4
atr = ta.atr(50)
LEFT = bar_index + 10
RIGHT = LEFT + 200
TOP = open + atr * y_size
BOTTOM = open - atr * y_size
You may notice that the top and bottom scale with the atr, or Average True Range to account for varying price fluctuations on different assets.
With these limits established, I could write some simple functions to translate my coordinates, using a range of 0-100 to describe how far the X coordinates should be from left to right, where left is 0 and right is 100; and likewise how far the Y coordinates should be from bottom to top, where bottom is 0 and top is 100.
X(float P) =>
result = LEFT + math.floor((RIGHT - LEFT)*P/100)
Y(float P) =>
result = BOTTOM + (TOP - BOTTOM)*P/100
With these functions, I could then start drawing points much simpler, with respect to the overall frame of the picture. If I wanted a point in the dead center of the frame, I would choose X(50), Y(50) for example.
At this point, the process just became tediously drawing each layer of my reference picture, including but not limited to Patrick's body, arm, mouth, eyes, eyebrows, etc. I've attached the reference picture here (left), without the text enabled.
As tedious as this was to create, it was done much more efficiently than Spongebob, and the ideas used here will make it much easier to draw more complex subjects in the future.
Multi-Timeframe RangeThe Multi-Timeframe Range Indicator is designed for traders looking to monitor key price levels across various timeframes (Daily, Weekly, Monthly, Quarterly, and Yearly) directly on their charts. This indicator draws boxes and mid-lines for each timeframe’s high, low, and midpoint, enabling users to visualize price ranges and assess potential areas of support and resistance more effectively.
Features:
Dynamic Range Boxes: Displays the high, low, and midpoint levels for each specified timeframe, with customizable colors for easy differentiation.
Visual Cues for Monday’s Levels: Highlights Monday’s high, low, and midpoint levels each week to support intraday trading setups and weekly trend analysis.
Multi-Timeframe Flexibility: Easily toggle between timeframes to view ranges from daily to yearly, making this indicator suitable for both short-term and long-term traders.
Ideal Use Cases:
Identify key support and resistance zones based on multiple timeframes.
Assess weekly and monthly trends using the Monday range levels.
Gain insights into market structure across various timeframes.
Daily ATR 2 and 10 Percent Value
This indicator shows three values: the main ATR value, a 2% value,
and a 10% Value of the Daily ATR.
After you have added the indicator to your chart, follow these steps
to be able to see the values and labels on the right.
1. Right-click on the price level bar or click the gear icon at the bottom
2. Click on LABELS
3. Select with a check mark the following two
INDICATORS AND FINANCIAL NAME LABELS
and INDICATORS AND FINANCIAL VALUE LABELS
4. Look for D-ATR % Value, click on the gear icon and verify these settings
- D-ATR Lenght = 14
- ATR Lenght = 14
- Smoothing = RMA
- Timeframe = 1 Day
5. Select Wait for timeframe closes
6. Click on Defaults, Save as default, and click ok.
You can move the indicator to the top of your chart if preferred, by clicking
on Move pane up.
Slightly modifications from other indicators.
Weekly High/Low Day BreakdownThe "Weekly High/Low Day Breakdown" is a tool designed to help identify patterns in market behaviour by analysing the days of the week when weekly highs and lows occur. This indicator calculates the frequency and percentage of weekly highs and lows for each day from Monday to Sunday within the visible range of your chart.
Features:
Weekly Analysis: Calculates weekly highs and lows based on daily open high and low prices from Monday to Sunday.
Day-Specific Breakdown: Tracks which day of the week each weekly high and low occurred.
Visible Range Focus: Only considers data within the current visible range of your chart for precise analysis.
Interactive Table Display: Presents the results in an easy-to-read table directly on your chart.
How It Works:
Data Collection: Fetches daily high, low, day of the week, and time data regardless of your chart's timeframe. Uses these daily figures to determine the weekly high and low for each week.
Weekly Tracking: Monitors the day of the week when the weekly high and low prices occur. Resets tracking at the end of each week (Sunday).
Visible Range Analysis: Only includes weeks that fall entirely within the visible time range of your chart. Ensures that the analysis is relevant to the period you are focusing on.
Percentage Calculation: Counts the occurrences of weekly highs and lows for each day. Calculates the percentage based on the total number of weeks in the visible range.
Result Display: Generates a table with days of the week as columns and "Weekly High" and "Weekly Low" as rows. Displays the percentage values, indicating how often highs and lows occur on each day.
How to Use:
Add the Indicator: Apply the "Weekly High/Low Day Breakdown" indicator to your TradingView chart.
Adjust Visible Range: Zoom in or out to set the desired visible time range for your analysis.
Interpret the Table:
Columns: Represent days from Monday to Sunday.
"Weekly High" Row: Shows the percentage of times the weekly high occurred on each day. "Weekly Low" Row: Shows the percentage of times the weekly low occurred on each day.
Colors: Blue text indicates high percentages, red text indicates low percentages.
Example Interpretation:
If the table shows a 30% value under "Tuesday" for "Weekly High," it means that in 30% of the weeks within the visible range, the highest price of the week occurred on a Tuesday.
Similarly, a 40% value under "Friday" for "Weekly Low" indicates that 40% of the weekly lows happened on a Friday.
VWAP it GOODWhy: Instead of having 5 individual VWAP indicators, I found it beneficial for one view with a clean display. This VWAP indicator combines the daily, weekly, monthly, quarterly and annual into one color coded view. These colors and styles can be modified by the user.
A user can turn any timeframe off, but this is how I personally like to trade since it helps me better understand potential bounce or pullback areas.
Do your own research for what is best for you.
Custom Time Frame BackgroundThis indicator allows you to highlight custom time frames on your chart with alternating background colors. It's particularly useful for visualizing specific intervals that are not standard on TradingView, such as 4-hour, 6-hour, or any other custom duration you choose. Features:
Customizable time frames: Set any combination of minutes, hours, and days
Fallback to daily/weekly coloring if no custom time frame is set
User-defined colors for alternating backgrounds
How to use:
Add the indicator to your chart
In the settings, input your desired custom time frame:
Set 'Custom Minutes' for intervals less than an hour
Use 'Custom Hours' for hourly intervals
Use 'Custom Days' for daily intervals
Adjust 'Color 1' and 'Color 2' to your preferred background colors
Examples:
For a 4-hour time frame: Set Custom Hours to 4
For a 6-hour time frame: Set Custom Hours to 6
For a 2-day time frame: Set Custom Days to 2
If all inputs are set to 0, the indicator will default to daily coloring for intraday charts and weekly coloring for higher timeframes. This indicator helps traders visually segment their charts into custom intervals, making it easier to identify patterns and trends over specific time periods.
Z-Score Weighted Trend System I [InvestorUnknown]The Z-Score Weighted Trend System I is an advanced and experimental trading indicator designed to utilize a combination of slow and fast indicators for a comprehensive analysis of market trends. The system is designed to identify stable trends using slower indicators while capturing rapid market shifts through dynamically weighted fast indicators. The core of this indicator is the dynamic weighting mechanism that utilizes the Z-score of price , allowing the system to respond effectively to significant market movements.
Dynamic Z-Score-Based Weighting System
The Z-Score Weighted Trend System I utilizes the Z-score of price to assign weights dynamically to fast indicators. This mechanism is designed to capture rapid market shifts at potential turning points, providing timely entry and exit signals.
Traders can choose from two primary weighting mechanisms:
Threshold-Based Weighting: The fast indicators are given weight only when the absolute Z-score exceeds a user-defined threshold. Below this threshold, fast indicators have no impact on the final signal.
Continuous Weighting: By setting the threshold to zero, fast indicators always contribute to the final signal, regardless of Z-score levels. However, this increases the likelihood of false signals during ranging or low-volatility markets
// Calculate weight for Fast Indicators based on Z-Score (Slow Indicator weight is kept to 1 for simplicity)
f_zscore_weights(series float z, simple float weight_thre) =>
float fast_weight = na
float slow_weight = na
if weight_thre > 0
if math.abs(z) <= weight_thre
fast_weight := 0
slow_weight := 1
else
fast_weight := 0 + math.sqrt(math.abs(z))
slow_weight := 1
else
fast_weight := 0 + math.sqrt(math.abs(z))
slow_weight := 1
Choice of Z-Score Normalization
Traders have the flexibility to select different Z-score processing methods to better suit their trading preferences:
Raw Z-Score or Moving Average: Traders can opt for either the raw Z-score or a moving average of the Z-score to smooth out fluctuations.
Normalized Z-Score (ranging from -1 to 1) or Z-Score Percentile: The normalized Z-score is simply the raw Z-score divided by 3, while the Z-score percentile utilizes a normal distribution for transformation.
f_zscore_perc(series float zscore_src, simple int zscore_len, simple string zscore_a, simple string zscore_b, simple string ma_type, simple int ma_len) =>
z = (zscore_src - ta.sma(zscore_src, zscore_len)) / ta.stdev(zscore_src, zscore_len)
zscore = switch zscore_a
"Z-Score" => z
"Z-Score MA" => ma_type == "EMA" ? (ta.ema(z, ma_len)) : (ta.sma(z, ma_len))
output = switch zscore_b
"Normalized Z-Score" => (zscore / 3) > 1 ? 1 : (zscore / 3) < -1 ? -1 : (zscore / 3)
"Z-Score Percentile" => (f_percentileFromZScore(zscore) - 0.5) * 2
output
Slow and Fast Indicators
The indicator uses a combination of slow and fast indicators:
Slow Indicators (constant weight) for stable trend identification: DMI (Directional Movement Index), CCI (Commodity Channel Index), Aroon
Fast Indicators (dynamic weight) to identify rapid trend shifts: ZLEMA (Zero-Lag Exponential Moving Average), IIRF (Infinite Impulse Response Filter)
Each indicator is calculated using for-loop methods to provide a smoothed and averaged view of price data over varying lengths, ensuring stability for slow indicators and responsiveness for fast indicators.
Signal Calculation
The final trading signal is determined by a weighted combination of both slow and fast indicators. The slow indicators provide a stable view of the trend, while the fast indicators offer agile responses to rapid market movements. The signal calculation takes into account the dynamic weighting of fast indicators based on the Z-score:
// Calculate Signal (as weighted average)
float sig = math.round(((DMI*slow_w) + (CCI*slow_w) + (Aroon*slow_w) + (ZLEMA*fast_w) + (IIRF*fast_w)) / (3*slow_w + 2*fast_w), 2)
Backtest Mode and Performance Metrics
The indicator features a detailed backtesting mode, allowing traders to compare the effectiveness of their selected settings against a traditional Buy & Hold strategy. The backtesting provides:
Equity calculation based on signals generated by the indicator.
Performance metrics comparing Buy & Hold metrics with the system’s signals, including: Mean, positive, and negative return percentages, Standard deviations, Sharpe, Sortino, and Omega Ratios
// Calculate Performance Metrics
f_PerformanceMetrics(series float base, int Lookback, simple float startDate, bool Annualize = true) =>
// Initialize variables for positive and negative returns
pos_sum = 0.0
neg_sum = 0.0
pos_count = 0
neg_count = 0
returns_sum = 0.0
returns_squared_sum = 0.0
pos_returns_squared_sum = 0.0
neg_returns_squared_sum = 0.0
// Loop through the past 'Lookback' bars to calculate sums and counts
if (time >= startDate)
for i = 0 to Lookback - 1
r = (base - base ) / base
returns_sum += r
returns_squared_sum += r * r
if r > 0
pos_sum += r
pos_count += 1
pos_returns_squared_sum += r * r
if r < 0
neg_sum += r
neg_count += 1
neg_returns_squared_sum += r * r
float export_array = array.new_float(12)
// Calculate means
mean_all = math.round((returns_sum / Lookback), 4)
mean_pos = math.round((pos_count != 0 ? pos_sum / pos_count : na), 4)
mean_neg = math.round((neg_count != 0 ? neg_sum / neg_count : na), 4)
// Calculate standard deviations
stddev_all = math.round((math.sqrt((returns_squared_sum - (returns_sum * returns_sum) / Lookback) / Lookback)) * 100, 2)
stddev_pos = math.round((pos_count != 0 ? math.sqrt((pos_returns_squared_sum - (pos_sum * pos_sum) / pos_count) / pos_count) : na) * 100, 2)
stddev_neg = math.round((neg_count != 0 ? math.sqrt((neg_returns_squared_sum - (neg_sum * neg_sum) / neg_count) / neg_count) : na) * 100, 2)
// Calculate probabilities
prob_pos = math.round((pos_count / Lookback) * 100, 2)
prob_neg = math.round((neg_count / Lookback) * 100, 2)
prob_neu = math.round(((Lookback - pos_count - neg_count) / Lookback) * 100, 2)
// Calculate ratios
sharpe_ratio = math.round((mean_all / stddev_all * (Annualize ? math.sqrt(Lookback) : 1))* 100, 2)
sortino_ratio = math.round((mean_all / stddev_neg * (Annualize ? math.sqrt(Lookback) : 1))* 100, 2)
omega_ratio = math.round(pos_sum / math.abs(neg_sum), 2)
// Set values in the array
array.set(export_array, 0, mean_all), array.set(export_array, 1, mean_pos), array.set(export_array, 2, mean_neg),
array.set(export_array, 3, stddev_all), array.set(export_array, 4, stddev_pos), array.set(export_array, 5, stddev_neg),
array.set(export_array, 6, prob_pos), array.set(export_array, 7, prob_neu), array.set(export_array, 8, prob_neg),
array.set(export_array, 9, sharpe_ratio), array.set(export_array, 10, sortino_ratio), array.set(export_array, 11, omega_ratio)
// Export the array
export_array
//}
Calibration Mode
A Calibration Mode is included for traders to focus on individual indicators, helping them fine-tune their settings without the influence of other components. In Calibration Mode, the user can visualize each indicator separately, making it easier to adjust parameters.
Alerts
The indicator includes alerts for long and short signals when the indicator changes direction, allowing traders to set automated notifications for key market events.
// Alert Conditions
alertcondition(long_alert, "LONG (Z-Score Weighted Trend System)", "Z-Score Weighted Trend System flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (Z-Score Weighted Trend System)", "Z-Score Weighted Trend System flipped ⬇Short⬇")
Important Note:
The default settings of this indicator are not optimized for any particular market condition. They are generic starting points for experimentation. Traders are encouraged to use the calibration tools and backtesting features to adjust the system to their specific trading needs.
The results generated from the backtest are purely historical and are not indicative of future results. Market conditions can change, and the performance of this system may differ under different circumstances. Traders and investors should exercise caution and conduct their own research before using this indicator for any trading decisions.
30D Vs 90D Historical VolatilityVolatility equals risk for an underlying asset's price meaning bullish volatility is bearish for prices while bearish volatility is bullish. This compares 30-Day Historical Volatility to 90-Day Historical Volatility.
When the 30-Day crosses under the 90-day, this is typically when asset prices enter a bullish trend.
Conversely, When the 30-Day crosses above the 90-Day, this is when asset prices enter a bearish trend.
Peaks in volatility are bullish divergences while troughs are bearish divergences.
4AM-5AM BRT HighlighterThe 4AM-5AM BRT Highlighter is a simple yet effective tool designed to visually mark your preferred trading time on the chart. It highlights the period between 4:00 AM and 5:00 AM Brazilian Time (BRT/UTC-3) by default, helping you stay focused and aware of your prime trading window.
Key Features:
Clear Visual Highlight: Colors the background of your chart during the chosen timeframe, making it easy to see when your trading session starts and ends.
Customizable Colors: Easily adjust the highlight color and transparency to suit your visual preferences.
Accurate Time Conversion: Automatically accounts for Brazilian Time (BRT), ensuring the highlight appears correctly no matter your chart’s default timezone.
Whether you're trading currencies, metals, indexes, or cryptocurrencies, this indicator helps you maintain focus during your dedicated trading hour by clearly marking your active period on the chart.
Buy and Sell Signals Based on SMI {K28}Buy/Sell Signals Based on SMI
This indicator provides buy and sell signals based on the Stochastic Momentum Index (SMI) to assist traders in identifying potential entry and exit points in the market. Here’s how to effectively use this indicator:
Usage Instructions:
Signal Interpretation:
No signal is 100% guaranteed
Green Labels: Indicate strong buy signals when the SMI crosses above its EMA, especially if the candle is green (closing price higher than opening price).
Red Labels: Indicate strong sell signals when the SMI crosses below its EMA.
Cautious Signals:
Blue Buy Labels: These buy signals appear when the SMI is in a cautious zone (between -20 and 20). They may not be as reliable, so confirm these signals with other indicators before acting.
Yellow Sell Labels: These buy signals appear when the SMI is in a cautious zone (between -20 and 20). They may not be as reliable, so confirm these signals with other indicators before acting.
Gray Buy and Sell Labels: Indicate potential false signals (when the SMI is overbought or oversold). Use other confirmation indicators to verify these signals.
Trade Strategy:
This indicator is designed for traders looking to make small, consistent profits. Focus on executing more trades rather than waiting for larger price movements.
Be mindful that the indicator may yield frequent signals, so it's essential to maintain discipline and only take trades that meet your criteria for confirmation.
Important Notes:
Caution with Signals: Always exercise caution when acting on blue or gray labels. These may indicate less reliable signals, so it's crucial to confirm with additional indicators.
No Perfect Indicator: Please remember that no trading indicator is perfect. Use this indicator at your own risk, and consider incorporating risk management strategies into your trading plan.
Conclusion:
By employing this SMI indicator, you can enhance your trading strategy focused on generating small, consistent profits through frequent trades. However, always verify signals and stay aware of market conditions to optimize your trading performance.
Smart Money Setup 07 [TradingFinder] Liquidity Hunts & Minor OB🔵 Introduction
The Smart Money Concept relies on analyzing market structure, tracking liquidity flows, and identifying order blocks. Research indicates that traders who apply these methods can improve their accuracy in predicting market movements by up to 30%.
These elements allow traders to understand the behavior of market makers, including banks and large financial institutions, which have the ability to influence price movements and shape major market trends. By recognizing how these entities operate, traders can align their strategies with Smart Money actions and better anticipate shifts in the market.
Smart Money typically enters the market at points of high liquidity where trading opportunities are more attractive. By following these liquidity flows, professional traders can position themselves at market reversal points, leading to profitable trades.
The Smart Money Setup 07 indicator has been specifically designed to detect these complex patterns. Using advanced algorithms, this indicator automatically identifies both bullish and bearish trading setups, assisting traders in discovering hidden market opportunities.
As a powerful technical analysis tool, the Smart Money Setup indicator helps predict the actions of major market participants and highlights optimal entry and exit points. Essentially, this tool enables traders to act like institutional investors and market makers, making the most of price fluctuations in their favor.
Ultimately, the Smart Money Setup 07 indicator transforms complex technical analysis into a simple and practical tool. By detecting order blocks and liquidity zones, this tool helps traders execute their strategies with greater precision, leading to more informed and successful trading decisions.
🟣 Bullish Setup
🟣 Bearish Setup
🔵 How to Use
One of the key strengths of the Smart Money Setup 07 indicator is its ability to accurately identify order blocks and analyze liquidity flows. Order blocks represent areas where large buy or sell orders are placed by Smart Money investors, which often indicate key reversal points in the market. Traders can use these order blocks to pinpoint potential entry and exit opportunities.
The Smart Money Setup indicator detects and visually displays these order blocks on the chart, helping traders identify the best zones to enter or exit trades. Since these zones are frequently used by large institutional investors, following these blocks allows traders to capitalize on price fluctuations and trade with confidence.
🟣 Bullish Smart Money Setup
A Bullish Smart Money Setup forms when the market creates Higher Lows and Higher Highs. In this situation, the indicator analyzes pivot points, liquidity flows, and order blocks to identify buy opportunities. Liquidity points in these setups indicate areas where Smart Money is likely to enter long positions.
In the bullish setup image, multiple Higher Lows and Higher Highs are formed. The green zone represents a Bullish Order Block, signaling traders to enter a long trade. The Smart Money Setup indicator displays a green arrow, indicating a high-probability upward price movement from this liquidity zone.
🟣 Bearish Smart Money Setup
A Bearish Smart Money Setup occurs when the market structure shows Lower Highs and Lower Lows, indicating weakness in price. The indicator identifies these patterns and highlights potential sell opportunities. Liquidity points in this setup mark areas where Smart Money enters sell positions.
In the bearish setup image, a Lower High is followed by a Lower Low, with the red liquidity zone acting as a Bearish Order Block. The Smart Money Setup indicator shows a red arrow, signaling a likely downward move, offering traders an opportunity to enter short positions.
🔵 Settings
Pivot Period : This setting determines how many candles are needed to form a pivot point. A default value of 2 is optimal for quickly identifying key pivot points in price action.
Order Block Validity Period : This parameter defines the lifespan of an order block. Traders can adjust how long each order block remains valid. For instance, setting it to 500 means that an order block will be valid for 500 bars after its formation.
Mitigation Level OB : This setting allows traders to select whether order blocks should be based on the "Proximal," "50% OB," or "Distal" levels, helping traders manage risk more effectively.
Order Block Refinement : Traders can refine the order blocks with precision. The indicator offers two refinement modes: Defensive and Aggressive. The Defensive mode identifies safer order blocks, while the Aggressive mode targets higher-risk blocks with the potential for larger reversals.
🔵 Conclusion
The Smart Money Setup 07 indicator is a powerful tool for identifying key Smart Money movements in the market. It provides traders with essential insights for making informed trading decisions, particularly when combined with technical analysis and liquidity flow analysis. This indicator allows traders to accurately pinpoint entry and exit points, helping them maximize profits and minimize risk.
By offering a range of customizable settings, the Smart Money Setup indicator adapts to different trading styles and strategies. Furthermore, its ability to detect order blocks and identify supply and demand zones makes it an indispensable tool for any trader looking to enhance their strategy.
In conclusion, the Smart Money Setup 07 is a crucial tool for traders aiming to optimize their trading performance. By utilizing the concepts of Smart Money in technical analysis, traders can make more precise decisions and take advantage of market fluctuations.
