Eclipse Dates IndicatorThis TradingView indicator displays vertical lines on eclipse dates from 1980 to 2030, with comprehensive filtering options for different types of eclipses.
Features
Date Range: Covers 221 eclipse events from 1980 to 2030
Eclipse Types: Filter by Solar and/or Lunar eclipses
Eclipse Subtypes: Filter by Total, Partial, Annular, Penumbral, and Hybrid eclipses
Year Range Selection: Focus on specific decades (1980-1990, 1990-2000, etc.)
Visual Customization: Separate styling for Solar and Lunar eclipses
Line Appearance: Customize color, style, and width
Label Options: Show/hide labels with customizable appearance
Eclipse Types
Show Solar Eclipses: Toggle visibility of Solar eclipses
Show Lunar Eclipses: Toggle visibility of Lunar eclipses
Eclipse Subtypes
Show Total Eclipses: Toggle visibility of Total eclipses
Show Partial Eclipses: Toggle visibility of Partial eclipses
Show Annular Eclipses: Toggle visibility of Annular eclipses
Show Penumbral Eclipses: Toggle visibility of Penumbral eclipses
Show Hybrid Eclipses: Toggle visibility of Hybrid eclipses
Visual Settings
Solar/Lunar Eclipse Line Color: Set the color for eclipse lines
Solar/Lunar Eclipse Line Style: Choose between solid, dashed, or dotted lines
Solar/Lunar Eclipse Line Width: Set the width of eclipse lines
Solar/Lunar Label Text Color: Set the color for label text
Solar/Lunar Label Background Color: Set the background color for labels
General Settings
Show Eclipse Labels: Toggle visibility of eclipse labels
Label Size: Choose between tiny, small, normal, or large labels
Extend Lines to Chart Borders: Toggle whether lines extend to chart borders
Year Range: Filter eclipses by decade (1980-1990, 1990-2000, etc.)
Usage Tips
For optimal visualization, use daily or weekly timeframes
When analyzing specific periods, use the Year Range filter
To focus on specific eclipse types, use the type and subtype filters
For cleaner charts, you can hide labels and only show lines
Customize colors to match your chart theme
Data Source
Eclipse data is sourced from NASA's Five Millennium Catalog of Solar Eclipses and includes both solar and lunar eclipses from 1980 to 2030.
Forecasting
Gold Futures vs Spot (Candlestick + Line Overlay)📝 Script Description: Gold Futures vs Spot
This script was developed to compare the price movements between Gold Futures and Spot Gold within a specific time frame. The primary goals of this script are:
To analyze the price spread between Gold Futures and Spot
To identify potential arbitrage opportunities caused by price discrepancies
To assist in decision-making and enhance the accuracy of gold market analysis
🔧 Key Features:
Fetches price data from both Spot and Futures markets (from APIs or chart sources)
Converts and aligns data for direct comparison
Calculates the price spread (Futures - Spot)
Visualizes the spread over time or exports the data for further analysis
📅 Date Created:
🧠 Additional Notes:
This script is ideal for investors, gold traders, or analysts who want to understand the relationship between the Futures and Spot markets—especially during periods of high volatility. Unusual spreads may signal shifts in market sentiment or the actions of institutional players.
BB LevelsBB Levels — Volatility-Based Weekly Trading Ranges
Overview:
BB Levels is a multi-timeframe indicator that projects weekly trading ranges using historical price behavior and volatility modeling. It combines data from both the 4H and Daily timeframes to provide a dual-perspective view of expected price extremes.
Solid Lines → Based on the Daily timeframe (smoother, broader volatility)
Dashed Lines → Based on the 4H timeframe (finer, more reactive to short-term volatility)
How It Works:
The indicator employs a Markov Switching Model to estimate the prevailing market regime and generate a forecasted directional bias. It then applies average historical volatility to project a weekly range:
The centerline is a forecasted “zero level” based on the prior week’s close, adjusted by regime and trend forecast.
The upper and lower bounds are derived from average weekly volatility, scaled to reflect expected movement.
Two versions are shown:
Daily (solid): Represents the more conservative, long-term expectations.
4H (dashed): Captures short-term momentum and faster volatility shifts.
Important Note:
These levels represent statistical expectations, not fixed boundaries. Price may:
Consolidate within the dashed (4H) range during quiet periods
Break beyond the solid (Daily) range during news events or trending expansions
Designed For:
Swing traders seeking structured, volatility-adjusted weekly levels
Day traders targeting high-probability reversal zones
Strategists combining trend forecasting with expected price behavior
Econometrica by [SS]This is Econometrica, an indicator that aims to bridge a big gap between the resources available for analysis of fundamental data and its impact on tickers and price action.
I have noticed a general dearth of available indicators that offer insight into how fundamentals impact a ticker and provide guidance on how they these economic factors influence ticker behaviour.
Enter Econometrica. Econometrica is a math based indicator that aims to co-integrate and model indicator price action in relation to critical economic metrics.
Econometrica supports the following US based economic data:
CPI
Non-Farm Payroll
Core Inflation
US Money Supply
US Central Bank Balance Sheet
GDP
PCE
Let's go over the functions of Econometrica.
Creating a Regression Cointegrated Model
The first thing Econometrica does is creates a co-integrated regression, as you see in the main chart, predicting ticker value ranges from fundamental economic data.
You can visualize this in the main chart above, but here are some other examples:
SPY vs Core Inflation:
BA vs PCE:
QQQ vs US Balance Sheet:
The band represents the anticipated range the ticker should theoretically fall in based on the underlying economic value. The indicator will breakdown the relationship between the economic indicator and the ticker more precisely. In the images above, you can see how there are some metrics provided, including Stationairty, lagged correlation, Integrated Correlation and R2. Let's discuss these very briefly:
Stationarity: checks to ensure that the relationship between the economic indicator and ticker is stationary. Stationary data is important for making unbiased inferences and projections, so having data that is stationary is valuable.
Lagged Correlation: This is a very interesting metric. Lagged correlation means whether there is a delay in the economic indicator and the response of the ticker. Typically, you will observed a lagged correlation between an economic indicator and price of a ticker, as it can take some time for economic changes to reach the market. This lagged correlation will provide you with how long it takes for the economic indicator to catch up with the ticker in months.
Integrated Correlation: This metric tells you how good of a fit the regression bands are in relation to the ticker price. A higher correlation, means the model is better at consistent and accurate information about the anticipated range for the ticker in relation to the economic indicator.
R2: Provides information on the variance and degree of model fit. A high R2 value means that the model is capable of explaining a large amount of variance between the economic indicator and the ticker price action.
Explaining the Relationship
Owning to the fact that the indicator is a bit on the mathy side (it has to be to do this kind of task), I have included ability for the indicator to explain and make suggestions based on the underlying data. It can assess the model's fit and make suggestions for tweaking. It can also explain the implications of the data being presented in the model.
Here is an example with QQQ and the US Balance Sheet:
This helps to simplify and interpret the results you are looking at.
Forecasting the Economic Indicator
In addition to assessing the economic indicator's impact on the ticker, the indicator is also capable of forecasting out the economic indicator over the next 25 releases.
Here is an example of the CPI forecast:
Overall use of the indicator
The indicator is meant to bridge the gap between Technical Analysis and Fundamental Analysis.
Any trader who is attune to fundamentals would benefit from this, as this provides you with objective data on how and to what extent fundamental and economic data impacts tickers.
It can help affirm hypothesis and dispel myths objectively.
It also omits the need from having to perform these types of analyses outside of Tradingview (i.e. in excel, R or Python), as you can get the data in just a few licks of enabling the indicator.
Conclusion
I have tried to make this indicator as user friendly as possible. Though it uses a lot of math, it is fairly straight forward to interpret.
The band plotted can be considered the fair market value or FMV of the ticker based on the underlying economic data, provided the indicator tells you that the relationship is significant (and it will blatantly give you this information verbatim, you don't have to interpret the math stuff).
This is US economic data only. It does not pull economic data from other countries. You can absolutely see how US economic data impacts other markets like the TSX, BANKNIFTY, NIFTY, DAX etc. but the indicator is only pulling US economic data.
That is it!
I hope you enjoy it and find this helpful!
Thanks everyone and safe trades as always 🚀🚀🚀
FiveFactorEdgeUses ATR14, TSI, RSI, Fast Stochastic and Slow Stochastic information to determine potential high and low price, trend strength and direction. The information ia easy to read, self-descriptive and color coded for quick reference. Since it incorporates 5 different elements it could be used by itself but as with any indicator it's highly recommended to use it with other tried and true indicators.
HabibiTrades Pro System Strategy Overview
This strategy uses the following conditions:
WMA Crossover: To determine the direction of the market trend.
ADX: To confirm whether the trend is strong enough for trade.
Volume Spike: To validate the trade signal with increased market participation.
Let's break down each component and its role in the strategy.
1. WMA (Weighted Moving Average) Crossover:
The WMA is a type of moving average that gives more weight to recent prices. In this strategy, we use two WMAs:
Fast WMA (short period): Reacts quicker to price changes.
Slow WMA (long period): Reacts slower to price changes.
How it works:
Bullish Entry (Long): The Fast WMA crosses above the Slow WMA, indicating a potential upward price movement (bullish trend).
Bearish Entry (Short): The Fast WMA crosses below the Slow WMA, indicating a potential downward price movement (bearish trend).
2. ADX (Average Directional Index):
The ADX measures the strength of a trend, regardless of whether the trend is up or down.
How it works:
ADX > 20: Indicates a strong trend (either bullish or bearish). This is the threshold for considering a trade.
ADX > 30: Indicates an even stronger trend and is used to indicate high confidence in the trend direction.
3. Volume Spike:
Volume is an important indicator that tells you how much trading activity is happening in the market. A volume spike occurs when the current volume is significantly higher than the average volume over a specified period.
How it works:
Volume Spike Condition: The current volume is compared to the average volume (SMA). If the current volume is greater than the Volume SMA multiplied by the Volume Multiplier, a volume spike is detected.
Volume spikes are used to validate the strength of the trend and increase the likelihood that the trade signal is meaningful.
Strategy Logic
Long Entry Conditions (Buy Signal):
WMA Crossover: The Fast WMA crosses above the Slow WMA (bullish signal).
ADX: The ADX is above 20 (indicating a strong trend).
Volume Spike: The current volume is higher than the Volume SMA multiplied by the Volume Multiplier, confirming market participation.
Short Entry Conditions (Sell Signal):
WMA Crossover: The Fast WMA crosses below the Slow WMA (bearish signal).
ADX: The ADX is above 20 (indicating a strong trend).
Volume Spike: The current volume is higher than the Volume SMA multiplied by the Volume Multiplier, confirming market participation.
Exit Conditions:
Trailing Stop: A trailing stop is used based on the highest price for long trades or the lowest price for short trades since the entry. The position is exited when the price moves against the trade by a set amount (in ticks).
Auto Trendlines [RG]Auto Trendlines
Overview
Auto Trendlines automatically identifies, draws, and manages dynamic support and resistance trendlines based on pivot points. It continuously monitors price action to validate and update trendlines.
Key Features
Automatically identifies support (green) and resistance (red) trendlines
Validates trendlines against historical price action
Configurable lookback period and maximum active lines
Clean visualization with customizable line widths
How It Works
The indicator detects pivot highs and lows using your specified lookback period
It connects consecutive pivots to create potential trendlines
Lines are extended to the right until a confirmed price break
Older lines are automatically removed when the maximum is reached
Customization Options
Lookback Period: Controls the sensitivity of pivot detection
Maximum Active Lines: Limits the number of trendlines displayed
Line Width: Separate width controls for support and resistance lines
Ideal For
Identifying dynamic support and resistance levels.
Spotting potential reversal zones.
This indicator will help you identify trendlines, which you can then sophisticate and redraw more accurately. Please use this indicator only to identify trendline scenarios. Keep in mind that this is not a buy and sell indicator. Trendline breaks and bounces are not always respected, as prices can turn around at any moment. Happy Trading :)
M2 Global Liquidity Index - X Days LeadThis custom indicator overlays the Bitcoin price chart with the Global Liquidity M2 chart, providing a unique perspective on how monetary supply might influence Bitcoin's price movements. The indicator distinguishes between past and future segments of the liquidity data using two distinct colors.
- Past Segment: The portion of the Global Liquidity M2 chart that has already passed is displayed in one color, allowing users to assess historical correlations with Bitcoin's price.
- Future Segment: The upcoming part of the liquidity chart is shown in a different color, offering insights into potential future impacts on Bitcoin's price trajectory.
by walkin
SuperTrader Trend Analysis and Trade Study DashboardSuperTrader Trend Analysis and Trade Study Dashboard
Overview
This script offers a multi-faceted look at market behavior. It combines signals from different momentum indicators, daily cross checks, and a specialized dashboard to reveal trend strength, potential divergences, and how far price has traveled from its recent averages.
Three Musketeers Method
This script uses a special set of three indicators (the “Three Musketeers”) to determine bullish or bearish pressure on the current chart.
Trend Condition – Compares fast vs. slow EMAs (50 and 200) and checks which side of the line price is favoring.
Mean Reversion Condition – Watches RSI crossing typical oversold or overbought thresholds (e.g., crossing above 30 or below 70).
Bollinger Condition – Checks whether price pushes above/below the Bollinger Bands (based on a 20 SMA + standard deviations).
When at least two out of these three conditions align in a bullish way, the script issues a Buy Signal . Conversely, if at least two align in a bearish way, a Sell Signal is triggered. This “Three Musketeers” synergy ensures multiple confirmations before calling a potential market turn.
Mag 8 Daily Performance
The script tracks eight highly influential stocks (AAPL, AMZN, GOOG, NFLX, NVDA, TSLA, META, MSFT) to see which are green (higher) or red (lower) compared to yesterday’s close. It then prints a quick tally – helpful in gauging overall market mood via these major players.
Golden / Death Cross Signals
On a daily time frame, the script notes when the 50-day SMA crosses above or below the 200-day SMA. A “Golden Cross” often signals rising momentum, while a “Death Cross” can hint at oncoming weakness.
RSI & Divergence Checks
RSI helps identify hidden turning points. Whenever a bullish or bearish divergence is spotted, the script updates you via a concise readout.
Hardcoded Settings
EMA lengths for trend checks, Bollinger parameters, etc., are locked in, letting you focus on adjusting only the pivotal study inputs (e.g., RSI length, VIDYA momentum).
VIDYA Trend Line & Fill
Built on an adaptive Variable Index Dynamic Average, it plots a line that quickly reacts to changing momentum. Users can set a “Trend Band Distance” to mark ATR-based thresholds around that line, identifying possible breakouts or breakdowns.
YoYo Distance
This concept measures how far price strays from SMA(10). If it’s too far, the script colors your display to indicate potential snapbacks.
Gap Up/Down Probability
By weighing volume, MACD signals, and whether price sits above/below its midrange, the script estimates probabilities of a gap up or down on the next daily candle.
Table Output & Trend Label
Turning on Show Table Widget reveals a quick dashboard on the chart detailing RSI, CCI, divergences, bull/bear scores, and more. A label on the last bar further summarizes overall trend, gap distance, and the Mag 8 snapshot – perfect for a fast read of current market posture.
Use this script to unify multiple signals in one place, see how far price has ventured from typical patterns, and get daily cross signals plus real-time bullish/bearish calls – all at a glance.
Smart % Levels📈 Smart % Levels – Visualize Significant Percentage Moves
What it does:
This indicator plots horizontal levels based on a percentage change from the previous day's close (or open, if selected). It allows traders to visualize price movements relative to meaningful thresholds like ±1%, ±2%, etc.
What makes it different:
Unlike other level indicators, Smart % Levels only displays the relevant levels based on current price action. This avoids clutter by showing only the levels that are being approached or crossed by the current price. It's a clean and dynamic way to visualize key price zones for intraday analysis.
How it works:
- Select between using the previous day's Close or Open as the reference
- Choose the percentage spacing between levels (e.g., 1%, 0.5%, etc.)
- Enable optional labels to see the exact percentage of each level
- Automatically filters levels to only show those between yesterday's price and today's current price
- Includes customization for colors, line styles, widths, and opacity
Best for:
Day traders and scalpers who want a quick, clean view of how far the current price has moved from yesterday’s reference, without being overwhelmed by unnecessary lines.
Extra notes:
- The levels are recalculated each day at the market open
- All graphics reset at the start of each session to maintain clarity
- This script avoids repainting by only plotting levels relative to available historical data (no lookahead)
This tool is for informational purposes only and should not be considered as financial advice. Always do your own research before making trading decisions.
Daily ProtractorDaily Protractor Indicator
Overview
The Daily Protractor is a visually intuitive tool designed for traders who want to analyze price action through angular measurements on a 5-minute chart. By overlaying a protractor on the chart, this indicator helps identify potential support, resistance, and trend directions based on angular relationships from the first 5-minute candle of each day. It’s particularly useful for intraday traders looking to incorporate geometric analysis into their strategies for spot or strike charts.
Key Features
Dynamic Protractor Overlay: Draws a protractor centered on the low of the first 5-minute candle of each day, with customizable radius in both bars (horizontal) and price units (vertical).
Angular Measurements: Displays angles in 5-degree increments, covering a full 360° circle or a 105° to -105° (91° to 269°) half-circle, depending on user preference.
Customizable Display:
Adjust the number of days to display protractors (up to 5 days).
Customize line colors for different angle ranges (0° to 180°, 180° to 360°, and 0° specifically).
Modify line thickness, label size, and label colors for better visibility.
Center Point Highlight: Marks the center of each protractor with a labeled point for easy reference.
Efficient Design:
Optimized with max_lines_count, max_labels_count, and max_bars_back to ensure smooth performance on TradingView.
How It Works
The indicator identifies the first 5-minute candle of each day and uses its low price as the center point for a protractor. It then draws lines at 5-degree intervals, radiating from the center, with each line representing an angle from 0° to 360°. Labels at the end of each line display the angle in degrees, with negative values shown for angles between 195° and 345° (e.g., 270° is displayed as -90°). The protractor’s radius can be adjusted in both time (bars) and price units, allowing traders to scale the tool to their chart’s characteristics.
Usage Instructions
Add to Chart:
Apply the indicator to a 5-minute chart of your chosen instrument (e.g., spot or strike charts).
Interpret the Protractor:
Use the angular lines to identify potential price levels or trend directions.
The 0° line (horizontal) can act as a reference for horizontal support/resistance.
Angles between 0° and 180° (upper half) and 180° and 360° (lower half) are color-coded for quick identification.
Customize Settings:
Toggle the Show 105° to -105° option to display a half-circle (91° to 269°) instead of a full 360° protractor.
Adjust the Radius in Bars and Radius in Price Units to scale the protractor to your chart.
Set the Maximum Days to Display to control how many daily protractors are shown.
Modify line thickness, colors, and label settings to suit your visual preferences.
Customization Options
Protractor Settings:
Show 105° to -105° (91° to 269°): Toggle between a full circle or a half-circle protractor.
Radius in Bars: Set the horizontal span of the protractor (default: 75 bars).
Radius in Price Units: Set the vertical span in price units (default: 1000.0).
Maximum Days to Display: Limit the number of protractors shown (default: 5 days).
Line Settings:
Line Thickness: Adjust the thickness of the protractor lines (1 or 2).
Line Color (0° to 180°): Color for the upper half (default: light blue).
Line Color (180° to 360°): Color for the lower half (default: light red).
Line Color (0°): Color for the 0° line (default: black).
Label Settings:
Label Size: Choose between small, normal, or large labels.
Label Color (0° to 180°): Color for labels in the upper half (default: red).
Label Color (180° to 360°): Color for labels in the lower half (default: green).
Notes
The indicator was designed with the help of Grok3 for use on 5-minute charts only, as it relies on the first 5-minute candle of the day to set the protractor’s center.
For best results, adjust the radius settings to match the volatility and price scale of your instrument. However, where the price is in single digits it is advised to switch off the labels or I would suggest not to use the same.
The protractor can be used alongside other technical tools to confirm trends, reversals, or key price levels.
Limitations: This cannot be used on instruments that trade for more than 75 candles with a timeframe of 5 minutes as the angles would not cover the entire trading window. I am working coming up with a script to address this limitation.
Feedback
I’d love to hear your thoughts! If you find the Daily Protractor helpful or have suggestions for improvements, please leave a comment or reach out. Happy trading!
Composite Reversal IndicatorOverview
The "Composite Reversal Indicator" aggregates five technical signals to produce a composite score that ranges from -5 (strongly bearish) to +5 (strongly bullish). These signals come from:
Relative Strength Index (RSI)
Moving Average Convergence Divergence (MACD)
Accumulation/Distribution (A/D)
Volume relative to its moving average
Price proximity to support and resistance levels
Each signal contributes a value of +1 (bullish), -1 (bearish), or 0 (neutral) to the total score. The raw score is plotted as a histogram, and a smoothed version is plotted as a colored line to highlight trends.
Step-by-Step Explanation
1. Customizable Inputs
The indicator starts with user-defined inputs that allow traders to tweak its settings. These inputs include:
RSI: Length (e.g., 14), oversold level (e.g., 30), and overbought level (e.g., 70).
MACD: Fast length (e.g., 12), slow length (e.g., 26), and signal length (e.g., 9).
Volume: Moving average length (e.g., 20) and multipliers for high (e.g., 1.5) and low (e.g., 0.5) volume thresholds.
Price Levels: Period for support and resistance (e.g., 50) and proximity percentage (e.g., 2%).
Score Smoothing: Length for smoothing the score (e.g., 5).
These inputs make the indicator adaptable to different trading styles, assets, or timeframes.
2. Indicator Calculations
The script calculates five key indicators using the input parameters:
RSI: Measures momentum and identifies overbought or oversold conditions.
Formula: rsi = ta.rsi(close, rsi_length)
Example: With a length of 14, it analyzes the past 14 bars of closing prices.
MACD: Tracks trend and momentum using two exponential moving averages (EMAs).
Formula: = ta.macd(close, macd_fast, macd_slow, macd_signal)
Components: MACD line (fast EMA - slow EMA), signal line (EMA of MACD line).
Accumulation/Distribution (A/D): A volume-based indicator showing buying or selling pressure.
Formula: ad = ta.accdist
Reflects cumulative flow based on price and volume.
Volume Moving Average: A simple moving average (SMA) of trading volume.
Formula: vol_ma = ta.sma(volume, vol_ma_length)
Example: A 20-bar SMA smooths volume data.
Support and Resistance Levels: Key price levels based on historical lows and highs.
Formulas:
support = ta.lowest(low, price_level_period)
resistance = ta.highest(high, price_level_period)
Example: Over 50 bars, it finds the lowest low and highest high.
These calculations provide the raw data for generating signals.
3. Signal Generation
Each indicator produces a signal based on specific conditions:
RSI Signal:
+1: RSI < oversold level (e.g., < 30) → potential bullish reversal.
-1: RSI > overbought level (e.g., > 70) → potential bearish reversal.
0: Otherwise.
Logic: Extreme RSI values suggest price may reverse.
MACD Signal:
+1: MACD line > signal line → bullish momentum.
-1: MACD line < signal line → bearish momentum.
0: Equal.
Logic: Crossovers indicate trend shifts.
A/D Signal:
+1: Current A/D > previous A/D → accumulation (bullish).
-1: Current A/D < previous A/D → distribution (bearish).
0: Unchanged.
Logic: Rising A/D shows buying pressure.
Volume Signal:
+1: Volume > high threshold (e.g., 1.5 × volume MA) → strong activity (bullish).
-1: Volume < low threshold (e.g., 0.5 × volume MA) → weak activity (bearish).
0: Otherwise.
Logic: Volume spikes often confirm reversals.
Price Signal:
+1: Close near support (within proximity %, e.g., 2%) → potential bounce.
-1: Close near resistance (within proximity %) → potential rejection.
0: Otherwise.
Logic: Price near key levels signals reversal zones.
4. Composite Score
The raw composite score is the sum of the five signals:
Formula: score = rsi_signal + macd_signal + ad_signal + vol_signal + price_signal
Range: -5 (all signals bearish) to +5 (all signals bullish).
Purpose: Combines multiple perspectives into one number.
5. Smoothed Score
A smoothed version of the score reduces noise:
Formula: score_ma = ta.sma(score, score_ma_length)
Example: With a length of 5, it averages the score over 5 bars.
Purpose: Highlights the trend rather than short-term fluctuations.
6. Visualization
The indicator plots two elements:
Raw Score: A gray histogram showing the composite score per bar.
Style: plot.style_histogram
Color: Gray.
Smoothed Score: A line that changes color:
Green: Score > 0 (bullish).
Red: Score < 0 (bearish).
Gray: Score = 0 (neutral).
Style: plot.style_line, thicker line (e.g., linewidth=2).
These visuals make it easy to spot potential reversals.
How It Works Together
The indicator combines signals from:
RSI: Momentum extremes.
MACD: Trend shifts.
A/D: Buying/selling pressure.
Volume: Confirmation of moves.
Price Levels: Key reversal zones.
By summing these into a composite score, it filters out noise and provides a unified signal. A high positive score (e.g., +3 to +5) suggests a bullish reversal, while a low negative score (e.g., -3 to -5) suggests a bearish reversal. The smoothed score helps traders focus on the trend.
Practical Use
Bullish Reversal: Smoothed score is green and rising → look for buying opportunities.
Bearish Reversal: Smoothed score is red and falling → consider selling or shorting.
Neutral: Score near 0 → wait for clearer signals.
Traders can adjust inputs to suit their strategy, making it versatile for stocks, forex, or crypto.
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
IU Smart Flow SystemDESCRIPTION
The IU Smart Flow System is a powerful and dynamic order flow-based strategy designed to capture high-probability trades by analyzing bullish and bearish imbalances, trend direction, and RSI strength. It identifies trading opportunities by aligning order flow conditions with the prevailing trend and momentum, making it suitable for trend-following and momentum-based trading.
This system utilizes a unique combination of:
- Order flow score to gauge market imbalance
- Trend filter using SMA and ATR to confirm market direction
- RSI to ensure entry only during strong momentum
USER INPUTS:
- Imbalance Length: Defines the lookback period for calculating bullish and bearish imbalances. (Default: 10)
- Trend Length: Determines the length of the SMA to evaluate the trend direction. (Default: 50)
- RSI Length: Specifies the RSI period to assess momentum strength. (Default: 14)
LONG CONDITIONS:
Long entries are triggered when:
- Order flow score is positive, indicating bullish imbalance
- Price is above the bullish trend level (SMA + ATR), confirming an uptrend
- RSI is above 50, indicating bullish momentum
- No active short position is currently open
SHORT CONDITIONS:
Short entries are triggered when:
- Order flow score is negative, indicating bearish imbalance
- Price is below the bearish trend level (SMA - ATR), confirming a downtrend
- RSI is below 50, indicating bearish momentum
- No active long position is currently open
WHY IT IS UNIQUE:
- Imbalance-Based Approach: Unlike traditional strategies that rely solely on price action, this system evaluates bullish and bearish imbalances to anticipate order flow direction.
- Adaptive Trend Filter: The combination of SMA and ATR dynamically adjusts to market volatility, providing a reliable trend confirmation mechanism.
- Momentum Validation with RSI: Ensures that entries are taken only in the direction of strong momentum, reducing false signals.
HOW USERS CAN BENEFIT FROM IT:
- Enhanced Trade Accuracy: Aligning order flow, trend, and momentum reduces false signals and improves trade success rates.
- Versatile Application: Suitable for various markets and timeframes, making it adaptable to different trading styles.
- Clear Trade Signals: Provides clear entry labels and alerts, ensuring traders never miss a potential opportunity.
- Visual Clarity: The filled region between bullish and bearish trends highlights trend direction, enhancing decision-making.
Previous Day, Week, Monday Liq + Asian, London & Ny session LiqGM Gs,
This indicator helps traders identify key liquidity levels from different market sessions (Asian, London, NY), as well as weekly and daily highs/lows. It automatically plots these levels on the chart, making it easier to spot potential support/resistance zones where price might react.
Key Features:
1. Multi-Timeframe Liquidity Zones
Previous Day High/Low – Tracks the prior day’s range.
Monday High/Low – Useful for weekly opening liquidity.
Previous Week High/Low – Helps identify broader weekly levels.
2. Customizable Session Times
Asian, London, and NY Session Highs/Lows – Automatically detects and plots key levels from each trading session.
Adjustable Time Zones – Supports multiple GMT offsets (GMT-8 to GMT+3), making it adaptable for traders worldwide.
3. Visual Customization
Color & Style Options – Each level type (e.g., London High, NY Low) can be customized in color, line style (solid, dashed, dotted), and width.
Faded Opacity for Swept Levels – When a level is swept (price breaks but closes beyond it), it becomes semi-transparent, helping traders distinguish active vs. invalidated levels.
4. Clean & Informative Labels
Each level has a clear label (e.g., "Asia High," "PW Low") for easy identification.
Adjustable label offsets prevent clutter on the chart.
Pros & Benefits for Traders:
✅ Helps Identify Key Liquidity Zones – Institutional traders often target session highs/lows for liquidity grabs. This indicator makes these levels visible at a glance.
✅ Adaptable to Different Trading Styles
Day Traders – Can use Asian/London/NY session levels for intraday setups.
Swing Traders – Can focus on weekly and Monday levels for broader trends.
✅ No Repainting – Levels are fixed once formed and do not change retroactively.
✅ Customizable for Personal Preference – Traders can adjust colors, line styles, and visibility to match their trading setup.
✅ Useful for Multiple Markets – Works well on Forex (major pairs), indices, and even crypto (due to 24/7 market structure similarities).
Suggested Use Cases:
Breakout Trading – Watch for price reactions at session highs/lows.
Mean Reversion – Fade moves into weekly or daily extremes.
Institutional Liquidity Analysis – Identify potential stop hunts or accumulation zones.
Conclusion:
This indicator is a powerful tool for traders who rely on session-based liquidity, institutional order flow, and key support/resistance levels. By automating the detection of these zones, it saves time and helps traders make more informed decisions.
Bitcoin Polynomial Regression ModelThis is the main version of the script. Click here for the Oscillator part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines. The Oscillator version can be found here.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
Bitcoin Polynomial Regression OscillatorThis is the oscillator version of the script. Click here for the other part of the script.
💡Why this model was created:
One of the key issues with most existing models, including our own Bitcoin Log Growth Curve Model , is that they often fail to realistically account for diminishing returns. As a result, they may present overly optimistic bull cycle targets (hence, we introduced alternative settings in our previous Bitcoin Log Growth Curve Model).
This new model however, has been built from the ground up with a primary focus on incorporating the principle of diminishing returns. It directly responds to this concept, which has been briefly explored here .
📉The theory of diminishing returns:
This theory suggests that as each four-year market cycle unfolds, volatility gradually decreases, leading to more tempered price movements. It also implies that the price increase from one cycle peak to the next will decrease over time as the asset matures. The same pattern applies to cycle lows and the relationship between tops and bottoms. In essence, these price movements are interconnected and should generally follow a consistent pattern. We believe this model provides a more realistic outlook on bull and bear market cycles.
To better understand this theory, the relationships between cycle tops and bottoms are outlined below:https://www.tradingview.com/x/7Hldzsf2/
🔧Creation of the model:
For those interested in how this model was created, the process is explained here. Otherwise, feel free to skip this section.
This model is based on two separate cubic polynomial regression lines. One for the top price trend and another for the bottom. Both follow the general cubic polynomial function:
ax^3 +bx^2 + cx + d.
In this equation, x represents the weekly bar index minus an offset, while a, b, c, and d are determined through polynomial regression analysis. The input (x, y) values used for the polynomial regression analysis are as follows:
Top regression line (x, y) values:
113, 18.6
240, 1004
451, 19128
655, 65502
Bottom regression line (x, y) values:
103, 2.5
267, 211
471, 3193
676, 16255
The values above correspond to historical Bitcoin cycle tops and bottoms, where x is the weekly bar index and y is the weekly closing price of Bitcoin. The best fit is determined using metrics such as R-squared values, residual error analysis, and visual inspection. While the exact details of this evaluation are beyond the scope of this post, the following optimal parameters were found:
Top regression line parameter values:
a: 0.000202798
b: 0.0872922
c: -30.88805
d: 1827.14113
Bottom regression line parameter values:
a: 0.000138314
b: -0.0768236
c: 13.90555
d: -765.8892
📊Polynomial Regression Oscillator:
This publication also includes the oscillator version of the this model which is displayed at the bottom of the screen. The oscillator applies a logarithmic transformation to the price and the regression lines using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed top and bottom regression line with the formula:
normalized price = log(close) - log(bottom regression line) / log(top regression line) - log(bottom regression line)
This transformation results in a price value between 0 and 1 between both the regression lines.
🔍Interpretation of the Model:
In general, the red area represents a caution zone, as historically, the price has often been near its cycle market top within this range. On the other hand, the green area is considered an area of opportunity, as historically, it has corresponded to the market bottom.
The top regression line serves as a signal for the absolute market cycle peak, while the bottom regression line indicates the absolute market cycle bottom.
Additionally, this model provides a predicted range for Bitcoin's future price movements, which can be used to make extrapolated predictions. We will explore this further below.
🔮Future Predictions:
Finally, let's discuss what this model actually predicts for the potential upcoming market cycle top and the corresponding market cycle bottom. In our previous post here , a cycle interval analysis was performed to predict a likely time window for the next cycle top and bottom:
In the image, it is predicted that the next top-to-top cycle interval will be 208 weeks, which translates to November 3rd, 2025. It is also predicted that the bottom-to-top cycle interval will be 152 weeks, which corresponds to October 13th, 2025. On the macro level, these two dates align quite well. For our prediction, we take the average of these two dates: October 24th 2025. This will be our target date for the bull cycle top.
Now, let's do the same for the upcoming cycle bottom. The bottom-to-bottom cycle interval is predicted to be 205 weeks, which translates to October 19th, 2026, and the top-to-bottom cycle interval is predicted to be 259 weeks, which corresponds to October 26th, 2026. We then take the average of these two dates, predicting a bear cycle bottom date target of October 19th, 2026.
Now that we have our predicted top and bottom cycle date targets, we can simply reference these two dates to our model, giving us the Bitcoin top price prediction in the range of 152,000 in Q4 2025 and a subsequent bottom price prediction in the range of 46,500 in Q4 2026.
For those interested in understanding what this specifically means for the predicted diminishing return top and bottom cycle values, the image below displays these predicted values. The new values are highlighted in yellow:
And of course, keep in mind that these targets are just rough estimates. While we've done our best to estimate these targets through a data-driven approach, markets will always remain unpredictable in nature. What are your targets? Feel free to share them in the comment section below.
VIX Implied MovesKey Features:
Three Timeframe Bands:
Daily: Blue bands showing ±1σ expected move
Weekly: Green bands showing ±1σ expected move
30-Day: Red bands showing ±1σ expected move
Calculation Methodology:
Uses VIX's annualized volatility converted to specific timeframes using square root of time rule
Trading day convention (252 days/year)
Band width = Price × (VIX/100) ÷ √(number of periods)
Visual Features:
Colored semi-transparent backgrounds between bands
Progressive line thickness (thinner for shorter timeframes)
Real-time updates as VIX and ES prices change
Example Calculation (VIX=20, ES=5000):
Daily move = 5000 × (20/100)/√252 ≈ ±63 points
Weekly move = 5000 × (20/100)/√50 ≈ ±141 points
Monthly move = 5000 × (20/100)/√21 ≈ ±218 points
This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Auto Gap DetectorThis indicator uses previous sessions open/close (whichever is closest) and the new sessions open to automatically detect both a gap up or gap down on any timeframe but is intended for use on on the daily timeframe ONLY. This is not the traditional definition of a gap but the one that i use for my strategy and has been more consistent and conservative than others.
We have also provided instructions on how to create alerts for these indicators below.
Happy Trading!
White Boxes: indicate an overnight gap up/down that is incomplete or not filled.
Green Boxes: When a gap fill is complete the white box will be changed to a green box so that it may still be used as a reference for support and resistance on following sessions.
*Color, transparency and borders of boxes can be customized in settings.
Set Up Alerts
Now, let’s make sure you get notified when a gap has occurred and when it has been filled happens:
Open the Alerts Menu
On the chart, click the bell icon (top right of the screen) to create an alert.
Configure the Auto Gap indicator
In the “Condition” dropdown, select “Auto Gap indicator".
Below that, select “Overnight Gap Detected or Overnight Gap Filled.”
*Note: if you want to detect when both a gap has been detected and when it has been filled you must create two separate alerts.
Set “Once Per Bar Close” in the next dropdown (this ensures it only triggers after the period ends, avoiding false signals mid-bar).
Choose how you want to be notified (e.g., popup, email, or phone app—set this under “Notifications”).
Configure the Auto Gap Alert
Click the bell icon again to create a second alert.
Feel free to leave comments requesting any upgrades or potential bugs. Thank you!
Coinbase Premium IndexThe Coinbase Premium Index is a measure of the percentage difference between the price of any coin on Coinbase Pro (USD pair) and the price on Binance (USDT trading pair). It helps differentiate between global and US-specific market sentiment
Major benefits:
Choose between USD or USDC for the Coinbase pair — they can behave differently in rare but actionable situations.
Apply it to any coin, not just BTC. Open any USDT-based chart on any exchange, and the script will automatically compare it with Coinbase’s USD or USDC price.
Highlight only active U.S. trading hours, cutting out irrelevant noise.
Display key thresholds that signal buying or selling pressure.
Internal BOS X FVG Algorithms - 1 Visi TraderInternal BOS X FVG Algorithms,
This strategy is based on 2 momentum combinations:
• Internal Break of Structure was formed together with Fair Value Gap (FVG)
Formula of Internal BOS X FVG Algorithms:
1. Break (Internal BOS) X Bullish FVG = Zone for BUY Setup
2. Break (Internal BOS) X Bearish FVG = Zone for SELL Setup
// ----------- Add-ons Setting ----------- //
Setting for Internal BOS X FVG Algorithms:
---------
#1: Internal Break of Structure Settings,
• Internal Swing:
The number of left and right Swing Intervals that are checked when searching for Swing Points. More Values = Less Swing Points plotted to be potential Internal BOS and Less Values = More Swing Points plotted to be potential Internal BOS.
• Internal BOS Color:
You can change the color of dotted line and text for Internal BOS ("Break") according to your favorites layout.
#2: Fair Value Gap Settings,
• FVG Min. Range (In Pips):
Input minimum range of Fair Value Gap in Pips, more value = less zone results.
• FVG Max. Range (In Pips):
Input maximum range of Fair Value Gap in Pips, less value = less zone results.
• Extended Right - FVG:
You can change the value of extended fair value gap zone according to your best preferences.
#3: FVG Color Settings,
• Bullish FVG:
Change color FVG for Bullish Fair Value Gap Zone.
• Bearish FVG:
Change color FVG for Bearish Fair Value Gap Zone.
#4: Mode FVG,
• FVG Variations:
- Global FVG = All Variations of Fair Value Gap Category
- Specific FVG = Variation based on last of 2 FVG's Candles in same color
#5: Trading Session,
• Session Hours:
You can adjust the trading hour according to the best session and volatility of pair assets that you want to trades.
---------
How to Entry (Instructions):
1. Buy Positions = Internal BOS ("Break") form together with Bullish FVG, wait for pullback on FVG Zone and then you can open positions. Set Stop Loss (SL) below FVG Zone and set Take Profit (TP) in minimum 1:2 RR - if price hit 1:1 RR you can set Breakeven for managing the trading risk.
2. Sell Positions = Internal BOS ("Break") form together with Bearish FVG, wait for pullback on FVG Zone and then you can open positions. Set Stop Loss (SL) above FVG Zone and set Take Profit (TP) in minimum 1:2 RR - if price hit 1:1 RR you can set Breakeven for managing the trading risk.
*Notes:
The best pair asset for this strategy is on Gold (XAU/USD) at NY Sessions (19.00 - 22.00 GMT+7) - Timeframe M1 (1 Minute).
--------
Best Regards,
- 1 VISI TRADER
Trading for Prosperity!
--------
DISCLAIMER: No reselling or any other forms of use are authorized for our documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. I am not responsible for any losses you may incur. Please invest wisely.*
IU Bigger than range strategyDESCRIPTION
IU Bigger Than Range Strategy is designed to capture breakout opportunities by identifying candles that are significantly larger than the previous range. It dynamically calculates the high and low of the last N candles and enters trades when the current candle's range exceeds the previous range. The strategy includes multiple stop-loss methods (Previous High/Low, ATR, Swing High/Low) and automatically manages take-profit and stop-loss levels based on user-defined risk-to-reward ratios. This versatile strategy is optimized for higher timeframes and assets like BTC but can be fine-tuned for different instruments and intervals.
USER INPUTS:
Look back Length: Number of candles to calculate the high-low range. Default is 22.
Risk to Reward: Sets the target reward relative to the stop-loss distance. Default is 3.
Stop Loss Method: Choose between:(Default is "Previous High/Low")
- Previous High/Low
- ATR (Average True Range)
- Swing High/Low
ATR Length: Defines the length for ATR calculation (only applicable when ATR is selected as the stop-loss method) (Default is 14).
ATR Factor: Multiplier applied to the ATR to determine stop-loss distance(Default is 2).
Swing High/Low Length: Specifies the length for identifying swing points (only applicable when Swing High/Low is selected as the stop-loss method).(Default is 2)
LONG CONDITION:
The current candle’s range (absolute difference between open and close) is greater than the previous range.
The closing price is higher than the opening price (bullish candle).
SHORT CONDITIONS:
The current candle’s range exceeds the previous range.
The closing price is lower than the opening price (bearish candle).
LONG EXIT:
Stop-loss:
- Previous Low
- ATR-based trailing stop
- Recent Swing Low
Take-profit:
- Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance).
SHORT EXIT:
Stop-loss:
- Previous High
- ATR-based trailing stop
- Recent Swing High
Take-profit:
- Defined by the Risk-to-Reward ratio (default 3x the stop-loss distance).
ALERTS:
Long Entry Triggered
Short Entry Triggered
WHY IT IS UNIQUE:
This strategy dynamically adapts to different market conditions by identifying candles that exceed the previous range, ensuring that it only enters trades during strong breakout scenarios.
Multiple stop-loss methods provide flexibility for different trading styles and risk profiles.
The visual representation of stop-loss and take-profit levels with color-coded plots improves trade monitoring and decision-making.
HOW USERS CAN BENEFIT FROM IT:
Ideal for breakout traders looking to capitalize on momentum-driven price moves.
Provides flexibility to customize stop-loss methods and fine-tune risk management parameters.
Helps minimize drawdowns with a strong risk-to-reward framework while maximizing profit potential.
ADR Checker - Breakouts📈 ADR Checker – Breakouts
Gain the edge by knowing when a stock has already made its move.
🚀 What It Does:
The ADR Checker - Breakouts is a powerful yet simple visual tool that helps traders instantly assess whether a stock has already exceeded its Average Daily Range (ADR) for the day — a critical piece of information for momentum traders, swing traders, and especially those following breakout, VCP, or CANSLIM strategies.
Using a customizable on-screen table that always stays in view (regardless of zoom or chart scaling), this script shows:
✅ Average ADR% – 20-day average range, calculated in %.
📊 Today’s Move – how much the stock has moved today.
🔥 % of Avg ADR – today's move relative to its historical average, with live color feedback:
🟥 Over 100% (Overextended – danger!)
🟧 70-100% (Caution zone)
🟩 Below 70% (Room to move)
💡 Why It Matters:
One of the most overlooked mistakes by breakout traders is entering a trade after the move has already happened. If a stock has already moved more than its typical daily range, the odds of further continuation sharply decrease, while the risk of pullback or chop increases.
With this tool, you can:
🚫 Avoid chasing extended breakouts
🎯 Time entries before the real move
⚠️ Quickly assess risk/reward potential intraday
🧠 Example Use Case:
Imagine you're watching a classic VCP setup or flat base breakout. The stock breaks out on volume—but when you check this indicator, you see:
Today’s Move: 7.2%
Avg ADR: 5.3%
% of ADR: 135% 🟥
This tells you the stock is already well beyond its average daily range. While it may continue higher, odds now favor a consolidation, shakeout, or pullback. This is your cue to wait for a better entry or pass entirely.
On the flip side, if the breakout just started and the % of ADR is still under 50%, you have confirmation that there’s room to run — giving you more confidence to enter early.
⚙️ Fully Customizable:
Choose position on screen (top/bottom left/right)
Customize text color, background, and size
🔧 Install This Tool and:
✅ Stop chasing extended moves
✅ Add discipline to your entries
✅ Improve your breakout win rate
Perfect for VCP, CANSLIM, and BREAKOUT traders who want a clean, edge-enhancing visual guide.
