Range Filter + SuperTrend 合并指标 - 1小时优化结合两种经典指标,适合做山寨币1小时趋势单
Combining two classic indicators, it is suitable for doing 1-hour trend orders of altcoins
Indicators and strategies
Purple Dot IndicatorDescription:
Identifies high-momentum candles using price % move + volume spike.
Purple = Combined signal | Blue = Price only | Orange = Volume only.
Created by Haseeb Badar (@HB_Stocks).
GalihRidha ZoneX — Adaptive MTF S&R + Smart Money AreasWelcome to ZoneX: The new frontier of Support & Resistance for modern traders!
ZoneX is more than just S&R — it’s a hybrid price map that fuses classic pivots with institutional logic, visualizing the zones that really matter.
What Makes ZoneX Different?
Multi-Timeframe S&R:
Instantly spot the true key levels from higher timeframes, not just what everyone else sees on the current chart.
Smart Money Order Blocks:
Automatically highlights supply and demand zones where institutions accumulate or distribute — find the real “trap” areas and avoid getting faked out.
VWAP Bands:
See where the liquidity is thickest — these bands act as magnets for price, great for both reversals and breakouts.
Midline Channel:
Identify the market’s equilibrium — know when you’re in value and when you’re at the edge.
Previous High/Low:
Mark institutional magnets and classic stop-hunt zones, updated in real-time.
Ultra Customizable:
One-click to enable/disable any feature. Clean for minimalists, packed for pros.
How to Use ZoneX
Breakout?
Wait for price to clear a ZoneX band or order block with momentum — enter on the retest.
Reversal?
Fade wicks and exhaustion right in the highlighted zone — confirm with price action or volume.
Range/Balance?
Trade the ping-pong between ZoneX midline and outer bands — great for scalping and mean reversion.
Who’s It For?
Active traders who want an edge beyond standard S&R.
Institutional-mindset scalpers and swing traders.
Anyone who loves a clean chart but craves real market context.
Level up your chart, see what the big players see —
and never trade blind again. This is ZoneX.
F2D Highlighter + FTFC + Volume Spike + Dashboard🧪 Why F2D Works
It traps short sellers who expect a breakdown
When it reclaims prior ranges, buyers flood back in
Paired with timeframe continuity (green on higher timeframes), it increases the edge
💸 F2D in Options Trading
Ideal for Calls when:
You're near a key level (VWAP, support, inside week/day)
Volume surges on reclaim
You catch a 2D that flips into a 2U (strong reversal)
🔧 Strike selection: ATM or 1–2 strikes OTM
⏰ Expiration: Same day or next day (if late in the day)
💥 Targets: 30–50% profit, then trail or scale out
Multi-TF Bullish Dashboard ✅🔼back test gives good results but try the indicator and give me the feedback
Multi-Time Period ChartsI have made it so you don't have to change the candle value each time you switch timeframes.
Supply/Demand Zones with Midline (No Overlap Logic)Supply and demand formations based on inside bar breakouts. Automatically plots zones to buy and sell from. MTF analysis available.
Smart Deviation Trend Bands PRO + MTF Filter
Smart Deviation Trend Bands PRO + MTF Filter
This advanced version of Smart Deviation Bands gives you everything you need to catch cleaner trend bounces and avoid fake signals.
🔹 Classic deviation bands with 1, 2 and 3 standard deviations
🔹 Dynamic SMA line with clear trend coloring
🔹 Built-in multi-timeframe trend filter (MTF)
🔹 Signals only appear when they align with the higher timeframe trend
🔹 Ready-to-use alerts for bullish and bearish bounces
How it works
The script plots classic standard deviation bands around a dynamic Simple Moving Average (SMA). The three bands (1, 2 and 3 standard deviations) help you spot different levels of pullbacks or extensions relative to the trend.
A built-in multi-timeframe filter checks the trend on a higher timeframe (HTF). A signal appears only when a bounce aligns with the bigger trend:
Bullish bounce: Price crosses up from the lower deviation band while the HTF trend is up.
Bearish bounce: Price crosses down from the upper deviation band while the HTF trend is down.
Signal markers
🟢 Green circle: Bullish bounce — price crossing up from lower band with HTF uptrend
🔴 Red circle: Bearish bounce — price crossing down from upper band with HTF downtrend
How to use
Works on any market (crypto, stocks, forex).
Works on any timeframe — the filter can use any higher timeframe you choose (for example, H4, 1D, 1W).
Fully adjustable settings: SMA length, standard deviation multipliers, and filter timeframe.
Combine this with your strategy to filter out fake breakouts and trade in line with the bigger trend.
⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always test any strategy thoroughly and trade at your own risk.
Asset Premium/Discount Monitor📊 Overview
The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities.
🎯 Use Cases
Perfect for analyzing:
NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin
NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin
NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector
Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector
Any two correlated assets where relative value matters
Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile.
🔧 How It Works
Core Calculation
Ratio Analysis: Calculates the price ratio between your asset and the correlated asset
Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this.
Premium Measurement: Measures current deviation from historical average as a percentage
Statistical Context: Provides percentile rankings and standard deviation bands
The Math
Premium % = (Current Ratio / Historical Average Ratio - 1) × 100
🎨 Customization Options
Correlated Asset: Choose any symbol for comparison
Lookback Period: Adjust historical baseline (50-1000 days)
Smoothing: Reduce noise with moving average (1-50 days)
Visual Toggles: Show/hide bands and percentile lines
Color Themes: Customize premium/discount colors
📊 Interpretation Guide
Premium/Discount Reading
Positive %: Asset trading above historical relationship (premium)
Negative %: Asset trading below historical relationship (discount)
Near 0%: Asset at fair value relative to correlation
Percentile Ranking
90%+: Near recent highs - potential selling opportunity
10% and below: Near recent lows - potential buying opportunity
25-75%: Normal trading range
Signal Classifications
🔴 SELL PREMIUM: Asset expensive relative to recent range
🟡 Premium Rich: Moderately expensive, monitor for reversal
⚪ NEUTRAL: Fair value territory
🟡 Discount Opportunity: Moderately cheap, potential accumulation zone
🟢 BUY DISCOUNT: Asset cheap relative to recent range
🚨 Built-in Alerts
Extreme Premium Alert: Triggers when percentile > 95%
Extreme Discount Alert: Triggers when percentile < 5%
⚠️ Important Notes
Works best with highly correlated assets
Historical relationships can change - monitor correlation strength
Not investment advice - use as one factor in your analysis
Backtest thoroughly before implementing any strategy
🔄 Updates & Future Features
This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Smart Impulse Exhaustion Finder (ATR + ADX Filter)
Smart Impulse Exhaustion Finder (ATR + ADX Filter)
This advanced script helps you spot potential trend exhaustion points exactly where impulsive moves may lose strength.
It automatically combines multiple conditions:
✅ Identifies fresh swing highs and lows using a smart lookback range.
✅ Confirms strong price extension with a minimum ATR distance from the previous swing.
✅ Uses RSI extremes, volume spikes, and candle wick rejection to detect signals only when at least two out of three exhaustion factors align.
✅ Filters out false signals during sideways chop using an ADX trend strength filter.
✅ Ignores noise candles like dojis by requiring a clear minimum body size.
This makes the tool flexible for catching late-stage trend impulses that might be due for a pullback or reversal — ideal for trailing stop strategies, partial profit taking, or hunting reversal setups on crypto, forex or stocks.
How to use
📌 Tip: This is a sniper-type tool that can catch the very start of a reversal.
Therefore, when trading its signals, it’s strongly recommended to use a Risk:Reward ratio of at least 1:3 — especially for crypto markets.
The idea is simple:
Look for exhaustion signals at fresh swing highs for potential short pullbacks.
Or at fresh swing lows for potential long reversals.
Combine with your own trend and context tools.
Always test thoroughly before live trading.
Inputs
🔹 Extremum Lookback: Defines how far back to check for fresh highs/lows.
🔹 ATR Threshold: Controls the minimum impulse distance.
🔹 ADX Filter: Ensures signals only appear in meaningful trending conditions.
🔹 Body and Wick Filters: Reduce noise by rejecting tiny candles and highlighting clear rejection tails.
Disclaimer
⚠️ This script is for educational purposes only and does not constitute financial advice.
Trade responsibly — always use proper risk management and test before deploying in live conditions.
Buy Sell Magic Rework
A version of the legendary Forex indicator Buy Sell Magic for TradingView, with optional additional filtering in the settings.
A simple yet very effective trend-following tool — I personally used it for trading gold 14 years ago, and it still works great today!
How it works:
This script combines the classic Parabolic SAR trend indicator with an optional ZigZag filter for additional signal confirmation.
Parabolic SAR:
The indicator plots the Parabolic SAR on the chart to help identify trend direction and potential reversals. A buy signal is generated when the SAR flips from above the price to below it, signaling a possible uptrend. A sell signal appears when the SAR moves from below to above the price, indicating a potential downtrend.
ZigZag Filter (optional):
The ZigZag filter uses pivot highs and lows to reduce market noise and confirm significant swings. When enabled, a signal is shown only after a clear pivot forms in the chosen period.
Inputs:
ZigZag Period: Controls pivot sensitivity.
SAR Start, Increment, Max: Adjust how responsive the SAR is.
Use ZigZag Filter: Enable or disable additional filtering.
Plots:
Gray crosses = Parabolic SAR points
Green arrows = Buy signals
Red arrows = Sell signals
Best Use:
This tool works well on various markets: Forex, crypto, stocks. It is best suited for trend-following or swing trading strategies. Adjust the settings for your preferred asset and timeframe, and always backtest before live trading.
⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always test any strategy thoroughly and trade at your own risk.
Rifle UnifiedThis script is designed for use on 30-second charts of Dow Jones-related symbols (YM, MYM, US30). It provides automated buy and sell signals using a combination of price action, RSI (Relative Strength Index), and volume analysis. The script is intended for both live trading signals and backtesting, with configurable risk management and debugging features.
Core Functionality
1. Signal Generation Logic
Trigger: The algorithm looks for a sharp price move (drop or rise) of a user-defined threshold (default: 80 points) within a specified lookback window (default: 20 minutes).
Levels: It monitors for price drops below specific numerical levels ending in 23, 43, or 73 (e.g., 42223, 42273).
RSI Condition: When price falls below one of these levels and the RSI is below 30, the setup is considered active.
Buy Signal: A buy is triggered if, after setup:
Price rises back above the level,
The RSI rate of change (ROC) indicates exhaustion of the drop,
The current bar shows positive momentum.
2. Trade Management
Stop Loss & Take Profit: Configurable fixed or trailing stop loss and take profit levels are plotted and managed automatically.
Exit Signals: The script signals exit based on price action relative to these risk management levels.
3. Filters & Enhancements
Parabolic Move Filter: Prevents entries during extreme price moves.
Dead Cat Bounce Filter: Avoids false signals after sharp reversals.
Volume Filter: Optionally requires volume conditions for trade entries (especially for shorts).
Multiple Confirmation Layers : Includes checks for 5-minute RSI, momentum, and price retracement.
User Inputs & Customization
Trade Direction: Toggle between LONG and SHORT signal generation.
Trigger Settings: Adjust thresholds for price moves, lookback windows, RSI ROC, and volume requirements.
Trade Settings: Set take profit, stop loss, and trailing stop behavior.
Debug & Visualization: Enable or disable various plots, labels, and debug tables for in-depth analysis.
Backtesting: Integrated backtester with summary and detailed statistics tables.
Technical Features
Uses External Libraries: Relies on RifleShooterLib for core logic and BackTestLib for backtesting and statistics.
Multi-timeframe Analysis: Incorporates both 30-second and 5-minute RSI calculations.
Chart Annotations: Plots entry/exit points, risk levels, and debug information directly on the chart.
Alert Conditions: Built-in alert triggers for key events (initial move, stall, entry).
Intended Use
Markets: Dow Jones symbols (YM, MYM, US30, or US30 CFD).
Timeframe: 30-second chart.
Purpose: Automated signal generation for discretionary or algorithmic trading, with robust risk management and backtesting support.
Notable Customization & Extension Points
Momentum Calculation: Plans to replace the current momentum measure with "sqz momentum".
Displacement Logic: Future update to use "FVG concept" for displacement.
High-Contrast RSI: Optional visual enhancements for RSI extremes.
Time-based Stop: Consideration for adding a time-based stop mechanism.
This script is highly modular, with extensive user controls, and is suitable for both live trading and historical analysis of Dow Jones index movements
Hull MA + ADX (Manual) Trend FilterA basic Hull MA with adx imbedded that highlights green or red based on trend direction. The highlight doesn't initiate until the adx is above 20.
ONE: PEMA, EMA, SuperTrend, CPR, VIDYAThe ONE indicator is an all-in-one TradingView Pine Script that combines multiple popular trend, momentum, and volume tools into a single overlay. It is designed for senior traders and analysts who need a comprehensive yet lightweight solution to:
1. Identify dynamic price trends (PEMA & standard EMAs)
2. Capture volatility-driven reversals (SuperTrend)
3. Define key support/resistance (Central Pivot Range)
4. Measure adaptive momentum (VIDYA)
Key Advantages
Unified InterfaceNo more juggling separate scripts—activate/deactivate each component via simple inputs.
-PEMA (Price-Embedded MAs) with color-coded trend direction.
-Standard EMAs (5/13/26) for classic crossover strategies.
-SuperTrend for volatility-based stop-and-reverse signals.
-Central Pivot Range (daily & weekly) for intraday support/resistance.
-VIDYA (Variable Index Dynamic Average) for momentum that adapts to market conditions.
Adaptive Momentum Smoothing (VIDYA)Unlike fixed-length moving averages, VIDYA adjusts its sensitivity based on Chande Momentum Oscillator (CMO) or standard deviation.
- Fixed CMO option ensures consistent smoothing when you prefer a stable lookback.
- StDev option allows reactive smoothing in high-volatility environments.
- Customizable AlertsReal-time alertcondition on VIDYA color changes—ideal for automated trade entries/exits.
- Try pairing alerts with SuperTrend cross signals for high-probability setups.
Volume-Weighted Bar ColoringB ars are shaded based on volume spikes relative to an EMA of volume.
- Quickly spot institutional activity or accumulation/distribution phases.
Professional-Grade StylingClean, corporate color palette and line widths optimized for readability on both light and dark backgrounds.
Signal Interpretation
1. PEMA Green-to-Red Fill: Confirms multi-disciplinary trend reversals when the fast PEMA crosses the slow PEMA.
2. EMA Crossovers: Traditional 5/13/26 cross signals for momentum entry/exit.
3. SuperTrend Line: Trades above the line in uptrends; short when price closes below.
4. CPR Levels: Use daily CPR pivot (CP, BC, TC) for intraday range strategies; weekly pivot for broader support/resistance.
5. VIDYA Color Change: Blue to maroon or vice versa triggers alert for momentum shift.
6. Volume Coloring: Lime/red bars highlight high-volume moves; silver/gray for normal conditions.
Alert Setup
- Right-click on chart → Add Alert → Select ONE_VIDYA → Under Condition, choose VIDYA Color Alarm.
- Configure webhook/email/popup notifications for automated trading systems.
ROGUE ICT PROROGUE ICT PRO | ICT-Inspired Confluence System
The ROGUE ICT PRO is a precision tool built for traders who follow the principles of Inner Circle Trader (ICT) methodology. This script is designed to highlight potential high-probability trade setups based on multiple confluences including Market Structure Shifts (MSS), Fair Value Gaps (FVGs), killzone timing, rejection confirmations, and optional HTF bias filters.
This tool is intended for educational and research purposes only and is best used by traders who already understand ICT-style concepts.
🔍 Key Features:
- Market Structure Shift (MSS): Detects bullish or bearish structure breaks and plots them on the chart.
- Fair Value Gaps (FVGs): Highlights potential imbalance zones after a structure shift.
- Signal Logic: Buy or sell signals only trigger when price returns to a valid FVG and confirms with a rejection wick or engulfing (optional).
- Session Killzones: Filter entries to only occur during specific sessions: Asian, London, or New York.
High Timeframe Bias (Optional):
- HTF EMA trend direction
- HTF swing structure break
- HTF candle bias
RSI Confirmation (Optional): A 3-period RSI must be in overbought (for sell) or oversold (for buy) territory.
ATR-Based Risk Management:
SL and TP lines are drawn dynamically using ATR with configurable multipliers and risk-reward ratio.
Cooldown Logic: Prevents signal spam by enforcing a minimum bar gap between trades.
Previous Day High/Low Anchoring (Optional): Visual levels drawn from the previous day’s extremes.
⚙️ Customization:
Every feature can be toggled or configured via the settings menu:
Choose which killzones to enable.
Select your HTF bias filter or disable bias altogether.
Adjust ATR, Risk:Reward, and RSI levels to suit your strategy.
Fine-tune structure sensitivity, gap size, and rejection rules.
🛡️ Disclaimer:
This indicator is provided for educational and informational purposes only. It is not intended as financial advice or a trading signal service. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
EdgeXplorer - Gaussian Forecast GridEdgeXplorer – Gaussian Forecast Grid
The Gaussian Forecast Grid is a forward-looking market modeling tool that uses a Gaussian Process Regression framework to estimate future price behavior. Built around a non-parametric machine learning approach, it maps recent historical price data to generate smoothed forecasts, offering an evolving yet mathematically grounded projection of where price could be headed.
This is not a “signal generator”—it’s a probabilistic estimation tool that overlays a fitted baseline with a future-facing forecast curve, giving traders visual guidance on short-term trend expectations while accounting for noise and variance in price behavior.
⸻
🔍 What Does the Gaussian Forecast Grid Do?
Gaussian Forecast Grid takes a fixed historical training sample of price data and fits it using a Gaussian kernel, generating two key visual elements:
• Fit Line — a smoothed, mathematically reconstructed version of the past data window
• Forecast Line — a forward-projected estimation of price behavior based on the shape and curvature of the past data
Traders can adjust how sensitive the model is to local volatility, how smooth the prediction curve is, and how frequently the forecast updates.
⸻
⚙️ How It Works – Technical Logic Explained
1. Kernel Regression Foundation
The tool applies a Gaussian kernel function that evaluates similarity between time steps in a defined window. This results in a covariance matrix that models how likely different values are to move together.
kernel(x1, x2) = exp( - (x1 - x2)² / (2 * scale²) )
• X-axis: Time steps
• Y-axis: Price deviations from baseline
• Scale: Smoothing factor (determines how tight or loose the fit is)
2. Training Phase
A fixed number of bars (Data Sample Length) are selected as the training window, from which the tool:
• Computes a baseline average (via SMA)
• Normalizes price deviations
• Builds a covariance matrix for training (with optional noise)
• Inverts the matrix to solve for weights
3. Forecast Generation
With the model trained:
• Future time steps (Projection Steps) are mapped
• The kernel is applied between past and future points
• A projected set of values is generated based on how past structure likely evolves
4. Model Refresh Options
Users can control when the model retrains:
• Lock Forecast: Generates forecast once and holds it
• Update Once Reached: Recomputes after reaching the end of the forecast window
• Continuously Update: Recalculates forecast on every new bar
⸻
📈 What Each Visual Element Represents
Visual Component Meaning
Blue Line (Fit) A smoothed curve fitted to historical price behavior
Red Line (Forecast) Projected price path based on Gaussian inference
Baseline The mean price used to normalize the data
Polyline Split Left = historical fit, Right = projected future
These lines are dynamically drawn and cleared based on model refresh mode, ensuring only relevant and current data is displayed.
⸻
📊 Inputs & Settings Explained
Training Inputs
Setting Description
Data Sample Length How many bars are used to fit the model (higher = smoother, slower)
Fit Color Color for the historical fit curve
Forecast Controls
Setting Description
Projection Steps Number of future bars to forecast
Prediction Color Color of the projected forecast line
Model Behavior
Setting Description
Smoothing Factor Controls the “tightness” of the curve; lower values = more reactive
Noise Scale Adds Gaussian noise to prevent overfitting; useful in high-volatility assets
Model Behavior (Refresh Mode)
• Lock Forecast = static output
• Update Once Reached = refresh after forecast ends
• Continuously Update = live update every bar
⸻
🧠 How to Interpret It in Real Markets
This indicator does not tell you where price is going. Instead, it provides a smoothed probabilistic path based on the recent shape of price movement.
Use Cases:
• 🧭 Price Projection Framing: Align other tools (like OBs, liquidity zones, or support/resistance) within the estimated trajectory
• 🔄 Reversion vs. Continuation: Compare current price position relative to the forecast path to judge whether the market is returning to structure or breaking from it
• 📐 Bias Context: Use forecast slope direction to determine short-term directional bias
⸻
🧪 Strategy Integration Tips
• Pair with a volatility filter to use only when price is ranging or compressing
• Overlay with SMC tools like OB, FVG, or BOS indicators for confirmation
• Use as a visual narrative tool to avoid chasing price blindly during uncertain phases
EdgeXplorer - Dynamic Price ActionEdgeXplorer – Dynamic Price Action
Dynamic Price Action by EdgeXplorer is a high-precision structural framework that detects and maps market structure shifts, liquidity zones, and sweep events in real time. Built for traders who prioritize price behavior over indicators, this suite intelligently interprets swing pivots, volatility ranges, and institutional footprints to surface key decision-making zones on your chart.
Whether you trade Smart Money Concepts (SMC), classical price action, or hybrid strategies, Dynamic Price Action helps you visualize where price is reacting, where it’s hunting stops, and when structure is shifting — without the noise.
⸻
🔍 What Does Dynamic Price Action Do?
This indicator tracks three core elements:
1. Market Structure Shifts – Bullish and bearish swing breaks (BOS and MSS)
2. Liquidity Zones – Dynamic detection of potential buy-side and sell-side liquidity pools
3. Sweep Events – Real-time detection when liquidity is taken out (aka stop hunts or raids)
It also contains logic for Order Block detection, giving you a foundational structure for further Smart Money analysis (note: OB visuals are currently off by default but fully supported).
⸻
⚙️ How It Works – Technical Breakdown
1. Market Structure (BOS / MSS)
• Detects swing highs and lows using a 3-bar pivot system
• When a valid swing is confirmed:
• A BOS (Break of Structure) line is drawn for bullish shifts
• An MSS (Market Structure Shift) line is drawn for bearish transitions
• Lines are plotted with customizable styles and optional labels
2. Liquidity Detection
• Liquidity zones are marked based on:
• Recent confirmed swing highs or lows
• ATR-based range check (swing must exceed Liquidity Sensitivity threshold)
• Post-swing candle direction (bullish or bearish close)
• Sell-Side Liquidity = swing highs likely containing stop clusters
• Buy-Side Liquidity = swing lows likely containing stop clusters
• Each zone is tagged visually and stored for later sweep checks
3. Sweep Recognition
• If price breaches a previously tagged liquidity level:
• A “Sell Sweep” label appears above the former sell-side zone
• A “Buy Sweep” label appears below the former buy-side zone
• Zones are removed after being swept to reduce clutter
4. Order Block Logic (Optional)
• The script includes full logic to detect bullish/bearish order blocks based on:
• Body-based or wick-based structure (user preference)
• Candle volume criteria
• Visuals are turned off for now but can be easily re-enabled
⸻
📈 What You See on the Chart
Visual Element Meaning
Green BOS Line Bullish break of market structure (higher high)
Red MSS Line Bearish shift in structure (lower low)
“Sellside Liquidity” Label Area above a swing high likely to hold resting liquidity
“Buyside Liquidity” Label Area below a swing low likely to hold resting liquidity
“Sell Sweep” Label A stop hunt above a prior high
“Buy Sweep” Label A stop hunt below a prior low
All elements are dynamically drawn, adapting to price behavior with zero repainting.
⸻
📊 Inputs & Settings Explained
Market Structures
Setting Description
Enable Market Structures Toggle BOS/MSS logic
Detection Mode Conceptual filter: Short-Term, Mid-Term, Long-Term (doesn’t affect logic)
Show Labels Display BOS and MSS labels above/below structure
Line Style Choose between Solid, Dashed, or Dotted
Bullish/Bearish Colors Customize line and label appearance
Liquidity Zones
Setting Description
Liquidity Sensitivity How large a swing must be (ATR multiplier) to qualify as a liquidity point
Order Blocks
Setting Description
Use Candle Body If true, OB zones are based on open/close instead of high/low
⸻
🧠 How Traders Can Interpret Dynamic Price Action
Structure-Based Bias:
• BOS = bullish structure continuing → look for long setups
• MSS = bearish structure breaking down → caution for reversals
Liquidity Zones:
• Price nearing a Sellside Liquidity zone? Watch for sweep + rejection
• Price tapping Buyside Liquidity? Look for absorption or reversal
Sweep Events:
• A Buy Sweep can signal accumulation
• A Sell Sweep can mark distribution or a trap breakout
Use sweeps as confirmation, trap detection, or entry filters.
⸻
🧪 Strategy Use Cases
• 🔍 Smart Money Concepts (SMC): Combine BOS/MSS + sweeps for refined CHoCH entries
• 🔄 Reversal Traders: Wait for sweep + structure shift before entering against prior trend
• 📉 Trend Continuation: Use BOS + liquidity clears to confirm direction
• 🎯 Scalping: Sweep zones act as high-probability entry areas on LTFs
MP AMS (100 bars)Indicator Name: ICT Nested Pivots: Advanced Structure with Color Control
Description:
This indicator identifies and labels nested pivot points across three levels of market structure:
Short-Term Pivots (STH/STL)
Intermediate-Term Pivots (ITH/ITL)
Long-Term Pivots (LTH/LTL)
It detects local highs and lows using a user-defined lookback period and categorizes them into short, intermediate, and long-term pivots based on their relative strength compared to surrounding pivots.
Key Features:
Multi-level pivot detection: Nested identification of short, intermediate, and long-term highs and lows.
Customizable display: Toggle visibility of each pivot level independently for both highs and lows.
Color control: Customize colors for high and low pivot labels and text for enhanced chart readability.
Clear labeling: Each pivot is marked with intuitive labels ("STH", "ITH", "LTH" for highs and "STL", "ITL", "LTL" for lows) placed above or below bars accordingly.
Safe plotting: Avoids errors by validating data and only plotting labels within the lookback range.
This tool helps traders visually analyze market structure and identify key turning points at different time scales directly on their price charts.
Pivot Tops & BottomsHow it works
strategy() call replaces indicator() and enables backtesting.
Longs are opened at each confirmed swing-low and closed at the next swing-high.
Shorts can be turned on via the Enable Short Side toggle.
Position sizing uses 10% of equity per trade by default—adjust in the default_qty_value input.
Turn on Show Pivot Shapes to see where tops/bottoms land on your chart (shifted back by pivotLen).
Use the built-in Strategy Tester tab to review performance, drawdowns, win rate, etc.
AV BTC Pi Cycle OscillatorPi Cycle Oscillator
The oscillator version of the Pi Cycle Top Indicator. While I have found great differences in scales being used for the oscillator across various sources. The shape of the oscillator line is on the other hand the same across the board. With 2 specific versions. Either using the 111 Day SMA or the 2*350 SMA for division.
We allow for both versions. It is possible to select the formula for calculation on the input tab.
Either using (111 SMA - 2*350 SMA) / 111 SMA (default) or (111 SMA - 2*350 SMA) / 2*350 SMA .
We multiply the result by -100 so that overbought conditions fall at the top of the indicator chart and oversold at the bottom. Everyone has their own idea of the value range. This is no different.
For both formulas around 0 is overbought zone, while -200 and -70 are oversold areas. Thresholds are configurable in the input tab. I made an arbitrary choice for the thresholds.
If you want to see overbought and oversold areas on the price chart: Enable the Overbought and oversold Overlay area in the style tab. It is disabled by default.
Additionally: Pi Cycle Tops are marked with a red circle. ATH tops are marked with yellow diamonds. Grey lines marks halving days.
Institucional S&R + Acción de Precio 1M v2Especial para accion del precio, soportes y resistencias a un minuto