Intermarket Swing Projection [LuxAlgo]The Intermarket Swing Projection allows traders to plot price movement swings from any user-selected asset directly onto the chart in the form of zigzags and/or horizontal support and resistance levels.
This tool rescale the external asset price on the user chart, enabling traders to make direct comparisons.
It answers the question of how different the price behavior is between two assets, accounting for each asset's volatility.
🔶 USAGE
This tool is based on swing detection of two different assets: the chart and a user-selected asset. It allows traders to compare two assets on an equal footing while accounting for volatility and price behavior.
Traders can customize the detection by selecting a custom ticker, timeframe, the number of swings and length for swing detection. This makes the tool a Swiss army knife for asset comparison.
As we can see in the image below, the Show Last, Pivot Length, and Spread parameters are key to defining the final output of the tool.
"Show Last" defines how many pivots are displayed. "Pivot Length" is used for pivot detection; a larger value will detect larger market structures. "Spread" defines how far apart the horizontal levels will be from their original location in terms of volatility.
🔹 Comparing different assets
This image shows the Nasdaq 100 futures contract compared to four other futures contracts: S&P 500, gold, bitcoin, and euro/U.S. dollar.
Plotting all of these assets in Nasdaq 100 terms makes it easy to compare and analyze price behaviors and identify key levels.
In the top left chart, we have NQ vs. ES. It's no surprise that they are practically an exact match; a large portion of the S&P 500 is technology.
In the top right chart, NQ vs. GC, we see totally different behaviors. We can clearly see the summer consolidation in gold and the resumption of the uptrend, which took gold above 29,200 NQ points, up from 21,200.
In the bottom right chart, we see bitcoin making new highs, way above the Nasdaq in May, July, and October. However, the last high was way below the Nasdaq prices on October 27—the first lower high in a while. Sellers are pushing down.
Finally, the bottom left chart is NQ vs. 6E. We can see large volatility in the uptrend since February, with NQ unable to catch up until now. The last swing low was almost a match, and 6E is in a range.
As we can see, this tool allows us to perform intermarket analysis properly by accounting for each asset's volatility and price behavior. Then, we plot them on the same scale on equal terms, which makes performing this kind of analysis easy.
As we can see in the chart above, the assets are the same as in the previous image, but the timeframe is 1H with different settings.
Note the horizontal levels acting as support and resistance, as well as how NQ prices react to the zones marked with white circles. These levels are derived from custom assets selected by the user.
🔹 Displaying Elements
Zig-zag allows traders to clearly see the path that the selected asset's price took, as well as its turning points.
Horizontal levels are displayed from those turning points to the present and can be used as support or resistance. Traders can adjust the spread parameter in the settings panel to expand or contract those levels' volatility.
There are two color modes for the levels: average and pivots. In the first mode, green is used for levels below the average and red for levels above the average. The second uses green for swing lows and red for swing highs.
The backpaint feature is enabled by default and allows the swings to be displayed in the correct location. With this feature disabled, the swings will be displayed in the current location when a new swing is detected.
🔶 DETAILS
On a more technical note, the rescaling is formed by calculating three main elements from all the swings detected on the custom and chart assets:
The chart asset's average of all swing points
The chart asset's standard deviation of all swing points
The custom asset's z-score for each swing point
Then, the re-scaled swing point is calculated as the average plus the z-score multiplied by the standard deviation. This makes it possible to plot AAPL swings on an NQ chart, for example.
Thanks to re-scaling, we can directly compare the price behavior of two assets with different price ranges and volatility on the same chart.
🔶 SETTINGS
🔹 Trendlines
Ticker: Select the custom ticker.
Timeframe: Select a custom timeframe.
Show Last: Select how many swing points to display.
Pivot Length: Select the size for swing point detection.
Spread: Volatility multiplier for horizontal levels. Larger values mean the levels are farther apart.
Backpaint: Enable or disable the backpaint feature. When enabled, the drawings will be displayed where they were detected. When disabled, the drawings will be displayed at the moment of detection.
🔹 Style
Show ZigZag: Enable or disable the ZigZag display and choose a line style.
Show Levels: Enable or disable the levels display and choose a line style.
Color Mode: Choose between Average Mode, which colors all levels below the average bullish and all levels above bearish, and Pivot Mode, which colors swing highs bearish and swing lows bullish.
Bullish: Select a bullish color.
Bearish: Select a bearish color.
ZigZag: Select the ZigZag color.
Trend Analysis
Advanced Confluence DashboardAdvanced Confluence Dashboard - Multi-Indicator Technical Analysis Tool
OVERVIEW
The Advanced Confluence Dashboard is a comprehensive technical analysis tool designed to help traders identify high-probability trade setups by tracking multiple technical indicators simultaneously. The indicator displays up to 13 different technical confluences in an easy-to-read dashboard format, providing both individual signals and an overall market bias percentage. Switch between full table view and condensed view for maximum chart flexibility.
FEATURES
- 13 Technical Confluences: RSI, VWAP, EMA Cross (9/21), MACD, Stochastic, Trend (50 EMA), Bollinger Bands, ADX Strength, Price Momentum, Volume Breakout, VWAP Bands, 200 EMA, and Price Action (Higher Highs/Lower Lows)
- Real-time Confluence Scoring: Automatically calculates bullish vs bearish signal strength
- Multi-Timeframe Support: Analyze indicators on any timeframe while viewing your chart on another
- Customizable Display: Toggle individual indicators on/off, adjust table position, size, and transparency
- ATR Information: Optional ATR display for volatility-based position sizing
- Condensed View Mode: Ultra-minimal display showing only confluence score and ATR (perfect for scalpers who want maximum chart visibility)
- Full Table View: Detailed breakdown of each indicator's value and signal
- Color-Coded Signals: Green (bullish), red (bearish), white (neutral) for instant visual clarity
HOW IT WORKS
The indicator evaluates each enabled technical indicator and assigns it either a bullish or bearish signal based on its current state. The confluence score shows how many indicators are aligned in each direction, giving you a clear percentage-based view of market bias. For example, if 8 out of 13 indicators are bullish, you'll see a 62% LONG BIAS signal.
DISPLAY MODES
Full View: Shows all enabled indicators with their current values and signals in a detailed table format. Perfect for understanding exactly which indicators are bullish or bearish and why.
Condensed View: Shows only the confluence score (e.g., "4/13 LONG | 9/13 SHORT - SHORT BIAS 69%") and optional ATR information. This minimal display keeps your chart clean while still providing the essential confluence data you need for quick trading decisions. Ideal for scalpers and traders who want maximum chart space.
CONFLUENCES EXPLAINED
- RSI: Momentum oscillator (>50 bullish, <50 bearish, shows overbought/oversold)
- VWAP: Volume-weighted average price (above = bullish, below = bearish)
- EMA Cross: Fast EMA (9) vs Slow EMA (21) with price position
- MACD: Trend-following momentum (line above signal = bullish)
- Stochastic: Momentum oscillator (>50 bullish, <50 bearish)
- Trend (50 EMA): Price position relative to 50-period EMA
- Bollinger Bands: Volatility and mean reversion (above middle = bullish)
- ADX Strength: Trend strength indicator (shows strong trends)
- Price Momentum: Rate of price change over specified period
- Volume Breakout: Detects unusual volume with directional bias
- VWAP Bands: Standard deviation bands around VWAP
- 200 EMA: Long-term trend indicator
- Price Action: Higher Highs and Lower Lows pattern detection
SETTINGS
Timeframe Settings:
- Indicator Timeframe: Analyze indicators on a different timeframe than your chart
Display Options:
- Condensed View: Toggle between full table and minimal display
- Show ATR Info: Display/hide ATR information
- Table Position: 9 positions (top/middle/bottom + left/center/right)
- Text Size: Auto, tiny, small, normal, large, huge
- Table Transparency: 0-100%
- Border Width: 1-5 pixels
Confluence Toggles:
- Enable/disable any of the 13 confluences individually
- Confluence score automatically adjusts based on enabled indicators
Indicator Settings:
- RSI Length (default: 14)
- ATR Length (default: 14)
- Fast/Slow EMA (default: 9/21)
- Trend EMA (default: 50)
- Volume SMA Length (default: 20)
- Volume Breakout Multiplier (default: 2.0x)
- Bollinger Bands Length/StdDev (default: 20/2.0)
- ADX Length (default: 14)
- ADX Strength Threshold (default: 25)
- Momentum Length (default: 10)
IDEAL USE CASES
- Scalping: Quick identification of confluence for fast entries/exits - use condensed view for clean charts
- Day Trading: Multi-timeframe analysis for intraday setups
- Swing Trading: Confirmation of longer-term bias
- Risk Management: Higher confluence = higher probability trades
- Trade Filtering: Only take trades when confluence reaches your threshold
- Multi-Monitor Setups: Use condensed view on execution charts, full view on analysis charts
HOW TO USE
1. Add the indicator to your chart
2. Toggle on/off the confluences you prefer to use
3. Choose between Full View (detailed) or Condensed View (minimal)
4. Adjust the table position and size to your preference
5. Look for high confluence percentages (70%+ is strong bias)
6. Use the individual indicator signals (full view) to understand market structure
7. Combine with your trading strategy for entry/exit confirmation
TIPS
- Use Condensed View when scalping to keep your chart clean and uncluttered
- Switch to Full View when you need to analyze which specific indicators are conflicting
- Higher confluence doesn't guarantee success - always use proper risk management
- Consider using 60%+ confluence as a minimum threshold for trades
- Pay attention to which specific indicators are aligned vs conflicting
- Use the ATR display for quick reference on position sizing
- Experiment with different timeframes to find what works for your style
- Disable indicators you don't use to simplify your confluence scoring
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any investment decisions.
RSI Swing Indicator (Win-Rate + Forecast Line + Range Row)What the script does:
It’s essentially an enhanced RSI tool that doesn’t just show the raw RSI line. Instead, it adds forecasting, trade statistics, and range detection so you can see how reliable RSI signals have been historically and what they might mean going forward.
The main components
RSI Calculation
- Uses your chosen source (close, hl2, etc.) and length (default 7).
- Plots the RSI line (orange).
Forecasting
- Projects RSI into the future using slope extrapolation.
- Plots a forecast line (blue) and shows whether RSI is likely to become overbought, oversold, or stay neutral.
Trade Statistics
- Tracks how many long and short trades would have been profitable based on RSI bias.
- Calculates Win‑Rate (percentage of profitable trades) and Average Return (average gain/loss per trade).
- This gives you a statistical edge: are longs or shorts historically working better?
Bias & Conflict Detection
- Defines current bias (Bullish, Bearish, Neutral).
- Flags Conflict when the forecast disagrees with the current bias (e.g., RSI bullish now but forecast bearish).
- Helps you avoid trading against weakening momentum.
Range Detection
- Checks if RSI slope is flat and values are between mid‑bounds (40–60).
- Calculates Range Probability (how often range conditions occur).
- Adds a Range row to the table so you know when the market is likely sideways instead of trending.
Table Display
- Summarizes everything in a neat table: Forecast, Win‑Rates, Avg Returns, Prob Bias, Conflict, Range Prob, and Range status.
- Color‑coded so you can instantly see what’s favorable (green), risky (red), or neutral (yellow/orange).
How to use it
- Trend trading: Look for Profitable Bias with forecast alignment.
- Range trading: When both win‑rates are weak and Range row says Range Likely, fade extremes (buy low RSI, sell high RSI).
- Risk management: Avoid trades when Conflict is flagged.
- Forecasting: Use the projected RSI to anticipate overbought/oversold zones before they happen.
In short:
The script is like a “smart RSI dashboard”. It takes the basic RSI, adds forecasting, tracks how well past trades worked, and tells you whether the market is trending or ranging. This way, you’re not just reacting to RSI — you’re trading with context, probabilities, and forward‑looking signals.
ATR Stop Loss Finder (Strict Breakout Mode)Title: ATR Stop Loss Finder (Strict Breakout Mode)
Description:
Volatility-Based Risk Management: Generates dynamic trailing stop-loss lines for both Long (Lower Line) and Short (Upper Line) positions based on ATR volatility.
Strict Breakout Detection: Features a unique "Strict Breakout" logic that highlights trend acceleration. It visually marks whenever the Long SL breaks a historical high or the Short SL breaks a historical low over a user-defined lookback period (e.g., 50 bars).
Visual Signals: Automatically plots Red Circles for bullish SL breakouts (New Highs) and Blue Circles for bearish SL breakdowns (New Lows), making strong momentum shifts easy to spot.
Real-Time Dashboard: Includes an informative table displaying current ATR and SL price levels for quick reference.
PEG RSI [Auto EPS Growth]The PEG RSI is a hybrid indicator that combines fundamental valuation with technical momentum. It applies the Relative Strength Index (RSI) directly to the Price/Earnings-to-Growth (PEG) Ratio.
Unlike traditional PEG indicators that require manual input for growth rates, this script automatically calculates the Compound Annual Growth Rate (CAGR) of Earnings Per Share (EPS) based on historical data.
Key Features
- Auto-Calculated Growth: Uses historical TTM Earnings Per Share (EPS) to calculate the CAGR over a user-defined period (Default: 4 years).
- Dynamic Valuation: Converts the static PEG ratio into an oscillator (RSI) to identify relative valuation extremes.
- Trend & Momentum: Visualizes the momentum of the PEG ratio relative to its own history.
Educational Case Study
This indicator is designed for educational purposes and research. Instead of relying on fixed overbought or oversold levels, users are encouraged to study the correlation between the PEG RSI and price action independently.
- Observe how the price reacts when the PEG RSI reaches upper or lower extremes.
- Different stocks may respect different RSI zones based on their growth stability.
- Use this tool to analyze how market valuation momentum shifts over time.
Settings:
- Years for CAGR Growth: Timeframe to calculate EPS growth (Default: 4 years).
- RSI Length: Lookback period for the RSI calculation (Default: 14).
Note: This indicator works best on stocks with a consistent history of earnings. It requires financial data to function (will not work on assets without EPS like Crypto or Forex).
Stochastic RSI Forecast [QuantAlgo]🟢 Overview
The Stochastic RSI Forecast extends the classic momentum oscillator by projecting potential future K and D line values up to 10 bars ahead. Unlike traditional indicators that only reflect historical price action, this indicator uses three proprietary forecasting models, each operating on different market data inputs (price structure, volume metrics, or linear trend), to explore potential price paths. This unique approach allows traders to form probabilistic expectations about future momentum states and incorporate these projections into both discretionary and algorithmic trading and/or analysis.
🟢 How It Works
The indicator operates through a multi-stage calculation process that extends the RSI-to-Stochastic chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market dimensions (structure, volume, or trend). These projected prices are then processed through an iterative RSI calculation that maintains continuity with historical gain/loss averages, producing forecasted RSI values. Finally, the system applies the full stochastic transformation (calculating the position of each forecasted RSI within its range, smoothing with K and D periods) to project potential future oscillator values.
The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating projections on every bar update. The implementation preserves the mathematical properties of the underlying RSI calculation while extrapolating momentum trajectories, creating visual continuity between historical and forecasted values displayed as semi-transparent dashed lines extending beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies price action analysis by tracking break of structure (BOS) and change of character (CHoCH) patterns to identify potential order flow direction. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs or lower lows to determine bullish or bearish structure bias. When price approaches recent swing points, the forecast projects moves in alignment with the established structure, scaled by ATR (Average True Range) for volatility adjustment.
Potential Benefits for Traders:
Explores potential momentum continuation scenarios during established trends
Identifies areas where structure changes might influence momentum
Could be useful for swing traders and position traders who incorporate structure-based analysis
The Structure Influence parameter (0-1 scale) allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion through weakening structure patterns
2. Volume-Weighted Model
This model analyzes volume patterns by combining On-Balance Volume (OBV), Accumulation/Distribution Line, and volume-weighted price returns to assess potential capital flow. The algorithm calculates directional volume momentum and identifies volume spikes above customizable thresholds to determine accumulation or distribution phases. When volume indicators align directionally, the forecast projects stronger potential moves; when volume diverges from price trends, it suggests possible reversals or consolidation.
Potential Benefits for Traders:
Incorporates volume analysis into momentum forecasting
Attempts to filter price action by volume support or lack thereof
Could be more relevant in markets where volume data is reliable (equities, crypto, major forex pairs)
Volume Influence parameter (0-1 scale) enables adaptation to different market liquidity profiles
Highlights volume climax patterns that sometimes precede trend changes
Could be valuable for traders who incorporate volume confirmation in their analysis
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project price trends based on recent price data. Unlike the conditional logic of the other methods, linear regression provides straightforward trend extrapolation based on the best-fit line through the lookback period.
Potential Benefits for Traders:
Delivers consistent, reproducible forecasts based on statistical principles
Works better in trending markets with clear directional bias
Useful for systematic traders building quantitative strategies requiring stable inputs
Minimal parameter sensitivity (primarily controlled by lookback period)
Computationally efficient with fast recalculation on every bar
Serves as a baseline to compare against the more complex structure and volume methods
🟢 Universal Applications Across All Models
Each forecasting method projects potential future stochastic RSI values (K and D lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible K/D crosses several bars ahead
▶ Explore overbought/oversold scenarios: Forecast when momentum might return from extreme zones
▶ Assess divergences: Evaluate how oscillator divergences might develop
▶ Inform entry timing: Consider potential points along the forecasted momentum curve for trade entry
▶ Develop systematic strategies: Build rules based on forecasted crossovers, slope changes, or threshold levels
▶ Adapt to market conditions: Switch between methods based on current market character (trending vs range-bound, high vs low volume)
In short, the indicator's flexibility allows traders to combine forecasting projections with traditional stochastic signals, using historical K/D for immediate reference while considering forecasted values for planning and analysis. As with all technical analysis tools, the forecasts represent one possible scenario among many and should be used as part of a broader trading methodology rather than as standalone signals.
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR).
It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur.
How it works
Uses ATR × Multiplier to calculate an adaptive volatility buffer
Tracks trend direction internally
Recomputes and repositions the stop when a trend flip is detected
Plots separate lines for bullish and bearish stop states
Works on any market and timeframe (crypto, forex, commodities, indices, stocks)
Why it’s useful
This Stop ATR implementation is extremely stable and visually clean.
It is particularly effective for:
Trend following
Position management
Swing and position trading
Systematic stop placement
Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking.
Inputs
Period — ATR length
Multiplier — ATR factor that defines stop distance
Author
Developed by Pedro Paulo de Melo, open-source version.
BEGGALKey Features and Concepts
1. Order Block (OB) Identification (Pivots)
The core of the indicator relies on Pivot Point detection (ta.pivothigh/ta.pivotlow) over a specified Pivot Length (e.g., 5 bars).
Bullish OB (Demand Zone): Identified at a valid low pivot point, with the zone boundary defined between the pivot low (low ) and the open/close average (hl2 ) of the pivot bar.
Bearish OB (Supply Zone): Identified at a valid high pivot point, with the zone boundary defined between the pivot high (high ) and the open/close average (hl2 ) of the pivot bar.
2. Advanced Strength Filters (Momentum & Volume)
The indicator applies strict filters to ensure only powerful, high-quality zones are drawn:
Momentum (ATR) Filter: Checks if the candle that created the OB has a range (high - low) greater than the Average True Range (ATR) multiplied by the Momentum Threshold. This filters for impulsive, strong candles.
Volume Imbalance Filter (SMC Confirmation): If enabled, it requires the volume of the OB-creating candle to be higher than the volume of candles surrounding it (checked over the Volume Imbalance Lookback period). This confirms institutional activity in the zone creation.
Structure Break Filter (BOS/CHoCH): If enabled, the OB is only considered valid if it is created after a Break of Structure (BOS) or Change of Character (CHoCH). This validates the zone according to market structure rules (e.g., a Bearish OB must be preceded by a break of a significant swing low).
3. Dynamic Zone Management
Zone Narrowing (enable_narrowing): This feature dynamically adjusts the boundaries of an Order Block after it has been touched. If a candle wick tests the zone without fully mitigating it, the zone boundary is moved inward to the point where the test occurred, narrowing the zone and making it a more precise entry point (Dynamic OB concept).
Mitigation/Removal: Once price action (either the candle's wick or close, based on the Mitigation Method setting) breaches the outermost boundary of the zone, the Order Block is considered mitigated (broken) and is removed from the chart to clear clutter.
4. Risk Categorization
The indicator tracks and draws up to a user-defined number of OBs (Bullish/Bearish OB Count). These are categorized by their index:
Index 0 (Closest): Categorized as High Risk Zone.
Index 1: Categorized as Medium Risk Zone.
Index 2 and beyond: Categorized as Low Risk Zone. The user can toggle the visibility for each of these risk categories.
5. Integrated Risk/Reward (RR) Setup
For the High Risk Zone (Index 0), once the zone is touched, the indicator displays a complete trade setup:
Entry: Assumed at the Average Price of the Order Block.
Stop Loss (SL): Placed at the protective boundary of the OB (the top for a Sell Zone, the bottom for a Buy Zone). The risk area is colored with the RR Risk Zone Background.
Take Profit (TP): Calculated based on the user-defined Risk/Reward Ratio (e.g., 2.0 for 1:2 RR). The reward area is colored with the RR Reward Zone Background.
The RR boxes and price labels (TP/SL) are drawn with a configurable RR Box Width (Bars).
6. Alerts
The indicator includes built-in Pine Script alerts that trigger when the price enters an unmitigated zone, notifying the user of the Risk Level (High, Medium, or Low), the zone's boundaries, and the price.
Price Levels ConstructorHello friends,
This is a multi-period OHLC level mapping tool that lets you build your own higher-timeframe levels directly on the chart - across up to 20 customizable period slots.
You choose which periods matter (Year, Half-Year, Quarter, Month, Week, Day, weekdays, etc.), how recent they should be, and which levels to show (Open/High/Mid/Low/Close).
The script then renders those levels with automatic stacking and clear label formatting, giving you a compact higher-timeframe map for intraday and swing trading.
🛠️ How It Works
Each selected period slot creates a period model with its own OHLC+Mid data.
For each active level type, the script draws the price level, tracks the correct H/L/C timestamps when needed, and generates a label consisting of:
The selected recency (Current, Previous, 2nd Previous, …)
The period name (e.g., Month, Q1, Monday)
The level type (O/H/Mid/L/C)
All levels are fed into a registry that merges levels at identical prices, stacks their labels vertically or horizontally, and displays only one rendered line per price with combined label text.
This produces clean clusters when multiple periods share the same level.
Global settings control left/right extensions, label compactness, label content (name, price, % distance), and stacking direction.
🔥 Key Features
20 period slots
Ability to specify period (31 options, from Year to various weekdays)
Ability to specify recency for each selected period (13 options)
5 levels (Open, High, Mid, Low, Close) for each selected period
Stacking of labels of matching levels
% from All-Time High (ATH)
% from All-Time Low (ATL)
Alerts
📸 Visual Examples
The percentages in the level labels make it easy to see the current performance relative to that level
Labels with full level names
Compact labels with vertical stacking
Compact labels with horizontal stacking
👋 Good luck and happy trading!
Paid script
Granger Causality Flow IndicatorGranger Causality Flow Indicator
█ OVERVIEW
The Granger Causality Flow Indicator is a statistical analysis tool designed to identify predictive relationships between two assets (Symbol X and Symbol Y). In econometrics, "Granger Causality" does not test for actual physical causation (e.g., rain causes mud); rather, it tests for predictive causality .
This script is designed to answer a specific question for traders: "Does the past price action of Asset X provide statistically significant information about the future price of Asset Y, beyond what is already contained in the past prices of Asset Y itself?"
This tool is particularly useful for Pairs Traders , Arbitrageurs , and Macro Analysts looking to identify lead-lag relationships between correlated assets (e.g., BTC vs. ETH, NASDAQ vs. SPY, or Gold vs. Silver).
█ CONCEPTS & CALCULATIONS
To determine if Symbol X "Granger-causes" Symbol Y, this script utilizes a variance-reduction approach based on Auto-Regressive (AR) models. Due to the runtime constraints of Pine Script™, we employ an optimized proxy for the standard Granger test using an AR(1) logic (looking back 1 period).
The calculation performs a comparative test over a rolling window (Default: 50 bars):
The Restricted Model (Baseline):
We attempts to predict the current value of Y using only the previous value of Y (Auto-Regression). We measure the error of this prediction (the "Residuals") and calculate the Variance of the Restricted Model (Var_R) .
The Unrestricted Model (Proxy):
We then test if the past value of X can explain the errors made by the Restricted Model. If X contains predictive power, including it should reduce the error variance. We calculate the remaining Variance of the Unrestricted Model (Var_UR) .
The GC Score:
The script calculates a score based on the ratio of variance reduction:
Score = 1 - (Var_UR / Var_R)
If the Score is High (> 0) : It implies that including X significantly reduced the prediction error for Y. Therefore, X "Granger-causes" Y.
If the Score is Low or 0 : It implies X added no predictive value.
█ HOW TO USE
This indicator is not a simple Buy/Sell signal generator; it is a context filter for cross-asset analysis.
1. Setup
Symbol 1 (X): The potential "Leader" (e.g., BINANCE:BTCUSDT).
Symbol 2 (Y): The potential "Follower" (e.g., BINANCE:ETHUSDT).
Differencing: Enabled by default. This checks the changes in price rather than absolute price, which is crucial for statistical stationarity.
2. Interpreting the Visuals
The script changes the background color and displays a table to indicate the current flow of causality:
Green Background (X → Y): Symbol 1 is leading Symbol 2. Price moves in Symbol 1 are statistically likely to foreshadow moves in Symbol 2.
Orange Background (Y → X): Symbol 2 is leading Symbol 1. The relationship has inverted.
Blue Background (Bidirectional): Both assets are predicting each other (tight coupling or feedback loop).
Gray/No Color: No statistically significant relationship detected.
3. Trading Application
Trend Confirmation: If you trade Symbol Y, wait for the background to turn Green . This indicates that the "Leader" (Symbol X) is currently exerting predictive influence, potentially making trend-following setups on Symbol Y more reliable.
Divergence Warning: If you are trading a correlation pair and the causality breaks (turns Gray), the correlation may be weakening, signaling a higher risk of divergence.
█ SETTINGS
Symbol 1 (X) & Symbol 2 (Y): The two tickers to analyze.
Use Differencing: (Default: True) Converts prices to price-changes. Highly recommended for accurate statistical results to avoid spurious regression.
Calculation Window: The number of bars used to compute the variance and coefficients. Larger windows provide smoother, more stable signals but react slower to regime changes.
Significance Threshold: (0.01 - 0.99) The minimum variance reduction score required to trigger a causal signal.
█ DISCLAIMER
This tool provides statistical analysis of historical price data and does not guarantee future performance. Granger Causality is a measure of predictive capability, not necessarily fundamental causation. Always use appropriate risk management.
VLB Entry TOOL — Dynamic Key Levels & Continuation Behavior ModThe VLB Entry Tool is a behavior-driven analysis system built specifically for XAUUSD.
It focuses on two structural elements that consistently influence gold’s movement:
1. Key Levels
2. Continuation thresholds after expansion
The indicator automatically identifies and displays key levels on the chart—levels that gold frequently reacts to through rejections, breaks, or pullbacks.
Since these levels form the foundation of most intraday movement, the tool removes the need to manually update them each session.
A core observation behind this model is that gold often breaks through a major level, retraces, and then gains continuation strength once price expands beyond the level by a predefined threshold.
This “break → pullback → continuation” behavior is used to plot objective price zones where continuation has historically shown a higher probability of developing.
Dynamic Adaptive Levels
The VLB Entry Tool continuously adjusts its key levels and continuation thresholds as market structure evolves.
As price forms new highs/lows or shifts intraday behavior, the tool automatically recalibrates to the new environment—helping traders stay aligned with real-time market structure without redrawing levels manually.
What the indicator provides:
-Automatically mapped key levels based on gold’s structural behavior
-Highlighted continuation zones after price expansion
-Real-time adaptive recalculation as market conditions change
-Objective, rules-based entry zones
-A consistent framework that reduces guesswork around “where” to enter
-A focus on price behavior rather than predictions
The VLB Entry Tool does not provide guaranteed outcomes or financial advice.
It organizes XAUUSD structure into predefined reference points using historical behavior, volatility characteristics, and a rules-based approach.
Traders remain responsible for their own timing, confirmation, fundamental context, and risk management.
This tool is designed for traders who want a structured, adaptive, and behavior-focused framework for interpreting XAUUSD movement—centered on the key levels that matter most.
ueuito Trend Strength LSMA-BasedAnother experience.... still improving
Indicator Description (English)
Name: Trend Strength LSMA-Based
Overview:
This indicator is designed to measure the strength and exhaustion of a trend based on the Least Squares Moving Average (LSMA). It combines price, trend slope, volume, and volatility to calculate a trend exhaustion score, which is then smoothed and visualized as a colored area on the chart. The indicator also plots discrete points to signal potential reversals or decreases in trend intensity.
Key Features:
LSMA-Based Trend Strength:
Calculates a Least Squares Moving Average (LSMA) of the selected timeframe.
Measures the slope of the LSMA to capture trend direction and momentum.
Trend Exhaustion Score:
Combines multiple factors:
Distance between price and LSMA
LSMA slope (trend strength)
Volume relative to its moving average
ATR-based volatility
Each factor is weighted according to user-defined inputs.
The combined score is multiplied to produce a scaled trend exhaustion value.
Smoothed Area Plot:
The trend exhaustion score is smoothed using an EMA to reduce noise.
Displayed as a colored area that changes based on trend strength:
Strong bullish exhaustion → dark green
Weak bullish exhaustion → light green
Strong bearish exhaustion → dark red
Weak bearish exhaustion → light red
Neutral → gray
Dynamic Visual Cues:
Points for reversals: small green/red circles appear when the trend changes direction.
Points for intensity decrease: small green/red circles appear when the trend weakens but has not yet reversed.
The area’s color intensity dynamically reflects the strength of the trend exhaustion, making it visually intuitive.
Multi-Timeframe Support:
The indicator can calculate the trend exhaustion based on a different timeframe from the chart, allowing for higher timeframe trend analysis on lower timeframe charts.
Customizable Settings:
LSMA period, smoothing length, volume period, ATR period
Weighting for each factor in the score calculation
Thresholds for weak/strong exhaustion
Timeframe selection
Usage:
Identify when a trend is losing strength or approaching a potential reversal.
Helps visualize the current momentum and exhaustion of bullish or bearish trends.
Can be used in conjunction with other technical tools for confirming entries or exits.
Important Note:
Depending on the asset, market volatility, and timeframe, it may be necessary to adjust the indicator settings to optimize its responsiveness and accuracy. The default parameters provide a general starting point but fine-tuning is recommended for best results.
FVG PilotWhat it does
Automatically detects and draws Fair Value Gaps (FVGs) on the chart.
Removes an FVG as soon as it’s invalidated (bullish FVG invalid if price closes below its lower bound; bearish FVG invalid if price closes above its upper bound).
Triggers alerts only during Silver Bullet (SB) sessions in Europe/Berlin time when a new FVG is created.
Optionally draws two thin vertical lines at the start and end of each SB session so you can see the windows at a glance.
Runs on confirmed bars to avoid repainting.
How FVGs are detected
Wick mode (default):
Bullish FVG when low > high → gap [high , low]
Bearish FVG when high < low → gap [high, low ]
Body mode (optional): uses candle bodies instead of wicks:
Bullish FVG when current body low > prior body high
Bearish FVG when current body high < prior body low
Silver Bullet sessions (Europe/Berlin)
Three configurable session windows (default examples):
SB1: 10:00–11:00
SB2: 02:00–03:00
SB3: 07:00–08:00
Alerts for new FVGs fire only inside these windows.
Session lines: a thin vertical line is drawn on the first bar inside a session (start) and on the first bar after a session (end).
Inputs
Show Bullish / Bearish FVGs
Use Bodies (instead of wicks)
Minimum FVG size (in ticks)
Box opacity
SB sessions: enable/disable each window and set times (Europe/Berlin)
Session line toggle + color/width
Alerts included
SB (Berlin): Bullish FVG created – fires only during SB sessions
SB (Berlin): Bearish FVG created – fires only during SB sessions
Bullish FVG invalidated – fires when a bullish FVG is invalidated (no time filter)
Bearish FVG invalidated – fires when a bearish FVG is invalidated (no time filter)
How to set alerts (TradingView)
Click Create Alert.
Condition: choose this indicator, then pick one of the alert conditions above.
Select your alert options (once per bar close is recommended), then Create.
Tips
If you don’t see boxes, reduce Minimum FVG size or lower opacity (e.g., 70–85).
Body mode is stricter; start with wicks if you want more signals.
SB windows use Europe/Berlin and automatically account for DST.
The script respects platform limits for drawings; if your chart is cluttered, zoom in or reduce active sessions.
Point of Control + Momentum CandlesPOINT OF CONTROL + MOMENTUM CANDLES
A multi-feature indicator combining volume-based POC detection, 6-level momentum candle coloring, higher timeframe buy/sell signals, and order block identification.
FEATURES
Point of Control (POC)
Calculates the price level with highest traded volume over a customizable lookback period. Includes break and rejection detection with visual signals.
Momentum Candle Coloring
Colors candles based on EMA positioning and RSI values across 6 momentum levels:
- Bull 3/2/1: Strong to weak bullish momentum (Blue/Cyan/Green)
- Bear 1/2/3: Weak to strong bearish momentum (Yellow/Orange/Red)
- Neutral: No clear momentum (White)
Buy/Sell Signals
Generates signals from a user-selectable timeframe using EMA crossovers and RSI conditions. Signals appear on your current chart for multi-timeframe analysis.
Order Blocks
Detects potential institutional entry zones:
- Bullish OB: Last bearish candle before bullish impulse
- Bearish OB: Last bullish candle before bearish impulse
Blocks extend forward and optionally delete when mitigated.
Dashboard
Displays POC price, distance, RSI, momentum level, signal timeframe, and active order block count.
ALERTS
10 conditions available: POC breaks, rejections, buy/sell signals, and order block formations.
HOW TO USE
- Trade POC breaks for trend continuation
- Trade POC rejections for reversals
- Use candle colors to gauge momentum strength
- Confirm entries with higher timeframe signals
- Watch for price returning to order blocks
SETTINGS
All parameters are fully customizable including lookback periods, thresholds, timeframes, colors, and visual styles.
DISCLAIMER
For educational purposes only. Not financial advice. Trading involves risk. Always conduct your own analysis before making trading decisions.
Point of Control + Momentum CandlesPOINT OF CONTROL + MOMENTUM CANDLES
A comprehensive technical analysis indicator combining volume-based Point of Control detection, momentum-graded candle coloring, higher timeframe buy/sell signals, and order block identification.
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WHAT THIS INDICATOR DOES
This indicator identifies key price levels where the most trading activity has occurred (Point of Control), colors candles based on momentum strength, generates buy/sell signals from a user-selected timeframe, and detects order blocks that may act as future support/resistance zones.
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FEATURES
1. POINT OF CONTROL (POC)
The POC represents the price level with the highest traded volume over a lookback period. This indicator calculates a volume profile by distributing volume across price levels and identifying where the most activity occurred.
- Orange horizontal line shows the current POC level
- Yellow box highlights the candles used in the POC calculation
- Break detection identifies when price closes decisively beyond the POC
- Rejection detection identifies when price tests but fails to break the POC
2. MOMENTUM CANDLE COLORING
Candles are colored based on a 6-level momentum system using EMA positioning and RSI values:
Bullish Levels (price above both EMAs):
- Bull Level 3 (Royal Blue): Strong momentum, RSI above 70
- Bull Level 2 (Cyan): Medium momentum, RSI above 60
- Bull Level 1 (Green): Weak momentum, above EMAs
Bearish Levels (price below both EMAs):
- Bear Level 1 (Yellow): Weak momentum, below EMAs
- Bear Level 2 (Orange): Medium momentum, RSI below 40
- Bear Level 3 (Red): Strong momentum, RSI below 30
Neutral (White): No clear directional momentum
3. BUY/SELL SIGNALS
Signals are generated from a user-selectable timeframe (default: 10 minutes) and appear on your current chart. This allows you to see higher timeframe signals while trading on lower timeframes.
Buy Signal Conditions:
- EMA crossover (fast crosses above slow) OR RSI exits oversold
- Bullish candle on the signal timeframe
- Close above both EMAs
Sell Signal Conditions:
- EMA crossunder (fast crosses below slow) OR RSI exits overbought
- Bearish candle on the signal timeframe
- Close below both EMAs
4. ORDER BLOCKS
Order blocks identify potential institutional entry zones that may act as future support or resistance.
- Bullish Order Block (Green zone): The last bearish candle before a bullish impulse move
- Bearish Order Block (Red zone): The last bullish candle before a bearish impulse move
- Blocks automatically extend forward and can be set to delete when mitigated (price closes through the zone)
5. DASHBOARD
A customizable info panel displays:
- Current POC price
- Distance from POC (percentage)
- Position relative to POC (Above/Below/At)
- Lookback period
- Current RSI value
- Current momentum level
- Signal timeframe
- Active order block count
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HOW TO USE
POC Trading:
- Watch for breaks above POC for potential long entries
- Watch for breaks below POC for potential short entries
- Rejections at POC can indicate reversal opportunities
Momentum Reading:
- Use candle colors to gauge trend strength at a glance
- Level 3 colors indicate strong momentum (potential continuation)
- Level 1 colors indicate weakening momentum (potential reversal)
- Neutral/white candles suggest consolidation or indecision
Signal Confirmation:
- Use buy/sell signals from a higher timeframe to confirm entries on your trading timeframe
- Combine signals with POC breaks/rejections for higher probability setups
Order Block Strategy:
- Look for price to return to bullish order blocks for potential long entries
- Look for price to return to bearish order blocks for potential short entries
- Mitigated blocks (price closes through) lose their significance
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SETTINGS OVERVIEW
POC Settings:
- Lookback Period: Number of bars for POC calculation (default: 20)
- Volume Resolution: Price level granularity (default: 50)
- Recalculation Frequency: How often POC updates (default: every 3 bars)
Break/Rejection Detection:
- Break Threshold: Minimum percentage move to confirm a break (default: 0.3%)
- Rejection Wick Ratio: Minimum wick-to-body ratio for rejections (default: 0.5)
Momentum Settings:
- Fast/Slow EMA lengths for trend determination
- RSI length and threshold levels for momentum grading
Buy/Sell Signals:
- Signal Timeframe: The timeframe used for signal calculation
- Separate EMA and RSI parameters for signal generation
Order Blocks:
- Order Block Timeframe: Timeframe for OB detection
- Max Blocks Per Side: Limits displayed order blocks
- Delete Mitigated: Automatically removes invalidated blocks
All visual elements (colors, sizes, line styles) are fully customizable.
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ALERTS
10 alert conditions are available:
- Bullish/Bearish POC Break
- Bullish/Bearish POC Rejection
- Any POC Break
- Any POC Rejection
- Buy Signal
- Sell Signal
- Bullish Order Block Formed
- Bearish Order Block Formed
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NOTES
- The indicator uses request.security() to fetch data from the signal and order block timeframes. This is designed to work when viewing charts at timeframes equal to or lower than your selected signal/OB timeframes.
- POC calculations are based on the visible volume data. Assets with limited volume data may produce less reliable POC levels.
- Order blocks are detected using a simplified algorithm based on candle patterns and displacement. They represent potential zones of interest, not guaranteed support/resistance levels.
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DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own analysis and consider your risk tolerance before making trading decisions. Use this tool as part of a comprehensive trading strategy, not as a standalone signal generator.
Trivon LiteTrivon Lite is the simplified version of the Trivon trading system — designed to give traders clean Buy/Sell signals filtered by trend direction.
It is lightweight, beginner-friendly, and perfect for those who want a simple visual system to assist with entries.
✨ Features
Buy/Sell signals based on optimized volatility + trend conditions
Two built-in trend filters (Lite mode uses restricted settings)
Clean TP/SL visualization
Uses a simple risk-reward model
Works on all markets & timeframes
🔓 What's Included in Lite
Basic core entry system
Trend filters (limited customization)
Basic TP/SL settings
🔒 What's in Trivon Pro (Paid Version)
Fully adjustable trend filter periods
Optional higher-timeframe confirmation
Trend Table (multi-timeframe strength overview)
Backtesting Dashboard for performance insights
Additional filtering options for cleaner signals
ATR-based TP/SL customization
More advanced signal refining tools
If you enjoy Trivon Lite, the premium version Trivon Pro is coming out soon...
AbduTradingSystemA powerful automated script that integrates with Telegram/TradingView to deliver fast notifications, process events, and execute actions based on predefined conditions. Built with clean architecture and clear logic, it ensures stable performance and easy customization for all users.
FVG with Fibonacci Levels [MHA Finverse]FVG with Fibonacci Levels - Professional Fair Value Gap Indicator
This advanced Fair Value Gap (FVG) indicator automatically identifies and tracks market imbalances with integrated Fibonacci retracement levels, providing traders with precise entry and exit opportunities.
Key Features:
Smart Gap Detection
• Automatically identifies bullish and bearish fair value gaps in real-time
• Customizable minimum gap percentage filter to avoid noise
• Visual color-coded boxes for easy identification
Fibonacci Integration
• Built-in 0.5 and 0.618 Fibonacci retracement levels
• Fully customizable fib levels, colors, and line styles
• Helps identify optimal entry zones within each gap
Intelligent Gap Management
• Tracks multiple gaps simultaneously (up to 20)
• Automatic gap mitigation detection (Close or Wicks)
• Option to remove or highlight filled gaps
• Auto-hide boxes after specified bar count
Advanced Alert System
• Alerts when gaps are filled
• Fibonacci level touch alerts for both 0.5 and 0.618 levels
• Separate alerts for bullish and bearish setups
• Customizable alert preferences
Clean Visual Display
• Transparent boxes that don't clutter your chart
• Extending lines that update in real-time
• Customizable colors for both bullish and bearish gaps
• Option to change border style when gaps are filled
Perfect For:
Smart Money Concepts (SMC) traders, Price Action traders, and anyone looking to trade market structure and liquidity gaps with precision.
How to Use:
The indicator draws boxes around identified fair value gaps and extends them forward until they are filled. Fibonacci levels within each gap provide optimal entry zones. Set up alerts to get notified when price interacts with these key levels.
Credits
Special thanks to Quant Vue for their code examples and inspiration that contributed to the development of this indicator.
Disclaimer:
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research and consider your risk tolerance before making any trading decisions. Past performance does not guarantee future results.
HoneG_ヒゲヒゲ067ALT_v3HigeHigeV3 is a tool that displays the wick ratio for one-touch trading on The Option.
Try applying it to your preferred chart, whether it's a 1-minute chart or a 15-second chart.
ザオプションのワンタッチ取引向けにヒゲ比率を表示するツール ヒゲヒゲV3 です。
1分足チャートでも、15秒足チャートでも、お好きなチャートに適用してお試しください。
DT 20 200 VWAP Combo v2DT 20 200 VWAP Combo is a simple trend and bias tool that combines three core pieces of context on one chart
• Short term momentum with the 20 EMA
• Higher time frame trend with the 200 EMA
• Value with a flexible anchored VWAP
Use it to quickly answer three questions
What is the bigger picture trend
Where is price trading relative to value
Is my entry idea trading with or against that structure
What this indicator does
Plots a 20 EMA for short term momentum
Plots a 200 EMA for overall trend bias
Plots a VWAP that you can anchor in different ways
Session
Daily
Weekly
Monthly
Yearly
Colors the background when price and EMAs agree with the selected VWAP
Bull zone when 20 EMA is above 200 EMA and price is above VWAP
Bear zone when 20 EMA is below 200 EMA and price is below VWAP
Optionally prints labels when
20 EMA crosses above or below 200 EMA
Price crosses above or below the chosen VWAP
How to use it in your process
Set your VWAP anchor
Session if you are intraday focused
Daily or Weekly if you want a cleaner swing bias
Monthly or Yearly for longer swing context
Use the 200 EMA and anchored VWAP as your higher time frame filter
Only look for longs when price is above both
Only look for shorts when price is below both
Use the 20 EMA as your timing tool
Look for entries in the direction of the background color
Avoid trades that fight both EMAs and VWAP at the same time
This is not a complete trading system by itself
It is a context and confluence tool that works best when combined with your own price action and liquidity model such as structure shifts, sweeps, or a pattern based entry
Nothing in this script is financial advice
Always test and refine any idea in a demo environment and in a written plan before risking real capital
OHLC HistoryOHLC History is a Pine Script v6 overlay that snapshots up to 32 historical OHLC-derived levels from a selectable higher (or different) timeframe and projects them onto the active chart. It uses request.security to fetch the chosen source (Close/High/Low/Open), rounds each value to the instrument’s minimum tick, and stores them in an array. A “Max Number Lookback” input limits how many of those levels are rendered. For each retained level the script draws a horizontal line extended both ways, coloring it dynamically based on whether the level is above (customizable “above” color) or below (customizable “below” color) the current price, and places compact labels (01–32) with optional price text offset by a user-defined label distance. Prior bar artifacts (lines and labels) are explicitly deleted each update to keep the chart clean, while small white plot markers ensure the levels appear in the price scale and data window for quick reference.
Rolling Volume Profile [Matrix Volume Heatmap] by NXT2017Description
This indicator offers a unique visual approach to Volume Profile analysis. Instead of the traditional histogram bars or boxes, this script renders a Rolling Volume Profile as a background "Matrix Heatmap" directly on your chart.
By dividing the price action of the most recent N-candles into 30 horizontal zones (buckets), it visualizes where the most trading activity has occurred within your defined lookback period. The visualization uses dynamic transparency to highlight the Point of Control (POC) and high-volume nodes, while fading out low-volume areas.
🧠 How it Works
The script operates on a "Rolling Window" basis, meaning it recalculates the profile at every bar to reflect the immediate market context.
Dynamic Range: It calculates the highest High and lowest Low of the user-defined Lookback Length (default: 1000 bars).
Bucket Slicing: This vertical range is divided into 30 equal price buckets.
Volume Distribution (Overlap Logic): The script iterates through the historical data. If a candle is large and spans multiple buckets, its volume is distributed proportionally across those buckets. This ensures a more realistic profile compared to simply assigning volume to the close price.
Heatmap Visualization:
The script calculates the Maximum Volume (POC) within the profile.
It uses a Reference Length to normalize this maximum.
Dynamic Opacity: Zones with volume close to the maximum are rendered opaque (solid). Zones with low relative volume become highly transparent. This creates an automatic "Heatmap" effect, allowing you to instantly spot the most significant price levels.
⚙️ Settings
Lookback Length (candles): Defines how far back the profile calculates volume (e.g., 1000 bars).
POC Reference Length: Defines the smoothing window for the 100% volume baseline. Increasing this stabilizes the color changes; decreasing it makes the heatmap more reactive to sudden volume spikes.
Profil Color: Choose the base color for the matrix. The transparency is calculated automatically.
💡 Use Case
This tool is ideal for traders who want to see the "Value Area" of the current range without cluttering the chart with complex boxes or side-bars. It works excellent as a background context tool to identify:
High Volume Nodes (Support/Resistance)
Low Volume Nodes (Price gaps/Rejection areas)
Migrating Points of Control (Trend direction)
HRESH SNIPER PRO - V77🦅 HRESH SNIPER PRO V77: High-Precision Visual AidThis indicator is a powerful, proprietary tool designed for extreme accuracy by identifying high-momentum entries. HRESH PRO prioritizes quality over quantity, delivering clean signals that are highly responsive to market structure.🎯 Operational Constraints (Strict adherence is mandatory)FeatureRequirementNotesAssetSTRICTLY BTC/USDTThe indicator's specialized calibration requires focused operation exclusively on Bitcoin's market profile.Timeframe1-Minute (1M)Designed for scalping and precision entry timing.RiskUSER'S SOLE RESPONSIBILITYRISK IS ENTIRELY YOUR RESPONSIBILITY. This indicator is a technical aid; it is not a prediction tool or financial advice.✨ Signal Presentation & LogicThe HRESH PRO system uses a sophisticated process to confirm high-quality entries, focusing entirely on a clean visual hierarchy to maintain continuous trend information:Primary Entry Label (SNIPER): The large "SNIPER" label is reserved for initiating a new sequence or major re-entry. It appears at the start of a trend or when a new powerful impulse occurs after a 7-hour time lapse, confirming a renewed opportunity.Continuation Feedback: To avoid repeating large labels, all subsequent confirmed entries are marked by Small, Color-Coded Diamonds/Dots. These marks visually validate the ongoing trend direction without cluttering the chart.Neon Bar Coloring: Price bars are colored strongly (Neon Lime/Red) throughout the active signal sequence for immediate visual identification of the primary trend.🛑 Important DisclaimerThis indicator (HRESH SNIPER PRO) is provided as a sophisticated technical analysis tool only. It is not financial advice. All risks associated with trading, including capital loss, are borne by the user. Do your own research (DYOR) and strictly adhere to sound risk management principles.
