Apex Trend & Liquidity Master V2.1The Apex Trend & Liquidity Master is a hybrid trading system designed to align traders with the dominant market trend while identifying key structural price levels. Unlike simple moving average crossovers or standalone support/resistance tools, this script integrates a volatility-adaptive "Trend Cloud" with a "Smart Liquidity" engine.
This integration allows the script to offer unique filtering capabilities, such as hiding counter-trend liquidity zones to reduce chart noise and focus on high-probability continuations.
How It Works
Adaptive Trend Cloud The backbone of the system is the Trend Cloud, calculated using a Hull Moving Average (HMA) base with ATR bands. The cloud expands and contracts based on market volatility.
Green Cloud: Bullish Regime. The market is trending up; look for long opportunities.
Red Cloud: Bearish Regime. The market is trending down; look for short opportunities.
Smart Liquidity Zones (with Integration) The script automatically detects Pivot Highs and Lows to draw Supply (Resistance) and Demand (Support) zones. These zones persist until price breaks through them (mitigation).
Integration Feature: A "Filter Zones by Trend" option is included in the settings. When enabled, this feature connects the Trend Cloud to the Liquidity Engine:
It will only display Demand zones when the Trend Cloud is Bullish.
It will only display Supply zones when the Trend Cloud is Bearish.
Note on Lag: Zones are based on pivots (default lookback: 10). A zone appears on the chart 10 bars after the pivot forms. These are historical structural levels.
Signal Filters Buy and Sell labels are generated when the Trend Cloud changes color, but they are filtered to ensure quality:
Volume Filter: Signals only appear if the current volume is higher than the 20-period average.
RSI Filter: Prevents buying when RSI is overbought (>70) or selling when oversold (<30).
Live HUD An on-chart dashboard provides real-time data on:
Trend Bias: Direction of the cloud.
Momentum: RSI strength (Weak/Neutral/Strong).
Volume: High vs. Low activity.
Usage Guide
Identify the Trend: Use the background fill color to determine if you should be looking for longs (Green) or shorts (Red).
Wait for Structure: Look for price to pull back into a "Smart Liquidity" zone. For example, in a Green Trend, wait for price to touch a Green Demand box.
Confirm with Momentum: Check the Dashboard. Ideally, you want to see "Strong" momentum aligning with your trade direction.
Settings: If the chart is too cluttered, enable "Filter Zones by Trend" in the settings menu to hide counter-trend boxes.
Credits & Attribution This script combines original integration logic with adapted open-source concepts:
Smart Liquidity Logic: The method for generating Supply/Demand boxes via Pivot Highs/Lows and array management is adapted from open-source logic commonly used in Smart Money Concepts (SMC) indicators, notably popularized by LuxAlgo and the broader Pine community.
Trend Logic: The volatility cloud utilizes standard Hull Moving Average (HMA) and ATR formulas.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance of pivot levels or trend signals does not guarantee future results.
Volatilidade
Gemini Scalping Strategy [Pro Dash]Description: Gemini Scalping Strategy is a comprehensive monitoring system designed for high-frequency trading and scalping on lower timeframes (1m to 15m). This tool combines a fast-response Trailing Stop based on Average True Range (ATR) with a professional, real-time multi-factor Dashboard to provide a complete view of market structure and momentum.
Key Features:
Reactive ATR Trailing Stop: Provides immediate Buy/Sell signals based on volatility expansion and price breakouts. The trail line dynamically changes color to reflect volatility health.
Contextual Dashboard:
Choppiness Index (Corrected): Identifies whether the market is in a Trending phase (below 38.2) or a Sideways phase (above 61.8), helping to avoid "noise" in flat markets.
RSI Control Logic: Uses the 50-level pivot to define market control (Bull Control vs. Bear Control) instead of simple overbought/oversold levels.
ADX Strength: Measures trend intensity to filter out weak breakouts.
ATR Expansion: Monitors whether current volatility is above its average to confirm entry momentum.
How to use:
Entry: Primary signals are generated by the ATR triangles.
Confirmation: Use the Dashboard to verify market quality. High-probability trades occur when ATR signals align with "TREND" status on the CHOP and "BULL/BEAR CONTROL" on the RSI.
Customization: All dashboard elements (position, size, transparency, and theme) are fully customizable via the settings menu.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance is not indicative of future results.
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend.
Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars.
How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic:
Buying Pressure: Calculated based on the push from the Low to the Close.
Selling Pressure: Calculated based on the push from the High to the Close.
The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it.
Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value.
Teal/Green Bar: Net buying in the current period (CVD increased).
Maroon/Red Bar: Net selling in the current period (CVD decreased).
Key Features
Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation.
Whale Detection:
The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume.
Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy").
Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell").
Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta.
How to Use
Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence).
Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net result—often a sign of absorption or a pending reversal.
Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation.
Settings
Lookback Period: Defines the baseline for the statistical volume calculation (default: 50).
Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals.
Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers.
Built with Pine Script™ v6
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Bollinger Bands + MA 50/100/200📊 Bollinger Bands + MA 50 / 100 / 200 Indicator
This indicator combines Bollinger Bands with key Moving Averages (50, 100, 200) to help you spot trend direction, volatility, and potential reversal zones in one clean view.
🔹 Bollinger Bands
* Customizable length & MA type (SMA, EMA, RMA, WMA, VWMA)
* Visualizes market volatility
* Upper & lower bands help identify overbought / oversold conditions
🔹 Moving Averages
* MA 50 → Short-term trend
* MA 100 → Medium-term trend
* MA 200 → Long-term trend & major support/resistance
* Easy toggle on/off for clean charting
💡 How to use
* Price near upper band + strong MA trend → possible continuation
* Price near lower band → watch for bounce or breakdown
* MA alignment (50 > 100 > 200) → bullish trend
* MA cross & BB squeeze → potential breakout incoming
⚠️ Best used with price action & risk management
📌 Works on stocks, crypto, forex, indices
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
ITCP ATR BB RSI Stoch SignalsThis indicator generates BUY/SELL signals when price stretches outside Bollinger Bands during elevated volatility, confirmed by RSI, a Stochastic crossover, and a volume filter. To reduce counter-trend entries, it applies a macro trend filter using the Daily SMA 200: it looks for longs only above the SMA 200 and shorts only below it.
It tends to perform best in Forex, especially on liquid pairs, because market conditions (liquidity, continuous sessions, and relatively stable spreads on major pairs) often suit this confirmation-based approach. That said, it can be adapted to other markets (indices, commodities, or crypto) by tuning parameters such as Bollinger length/deviation, RSI/Stoch thresholds, and ATR settings (multipliers/factors) to fit the asset’s volatility.
It also plots ATR-based stop-loss reference levels (configurable smoothing) and includes webhook-ready alerts with a JSON payload (action, symbol, price, stop_loss, time, and interval) for external automation. The goal is to support rules-based execution and reduce impulsive trades: if conditions don’t align, there’s no signal.
If you manage to improve it, discover better settings, or build a more robust solution inspired by this, I’d really appreciate it if you share it back (even if it’s just feedback or an idea). I’m open to collaborating and iterating together to create stronger versions over time.
GME Warrant Tracker [theUltimator5]The GME Warrant Tracker was designed to be used for GME warrants tracking. The theory behind this indicator is that warrants are priced similarly to options and generally follow the same Greeks. With that assumption, we can break down the price of the warrants by using known Greeks to estimate either the theoretical price, or even estimate Implied Volatility (IV).
The base settings for this indicator plot the calculated IV, the theoretical price (there are multiple methods of calculation which I will discuss later) and the current warrant price.
You can toggle on or off all of these plots to display only what you want to track.
For example, you can simply track the difference between the theoretical price and the current price to see if warrants are trading at a premium or a discount vs what the indicator calculates it to be.
Calculating implied volatility is extremely difficult and must be approximated.
The theoretical warrant price produced by this indicator depends primarily on the volatility input (σ) used in the Black–Scholes pricing model.
This script supports five distinct methods for approximating σ, each extracting different information from the market.
1) Close-to-Close Historical Volatility
Close-to-Close computes the standard deviation of daily close-to-close returns and uses a lookback window scaled to time-to-expiry. As the expiration approaches, the lookback window tightens, giving a more responsive volatility approximation relative to time-to-expiry.
This option produces conservative approximations for volatility, and may lag actual volatility intraday.
2) Parkinson High-Low Volatility
Parkinson High-Low volatility uses daily high and low prices to calculate intraday trading range for a more responsive estimation to volatility. It ignores opening and close gaps, so overnight volatility is not accounted for.
This option produces higher theoretical volatility during choppy price action and can over estimate actual volatility.
3) Garman–Klass Volatility
Garman–Klass volatility is a way to estimate how much price is fluctuating by using the open, high, low, and close for each period. Because it draws on multiple intraperiod price points (not just the range or close-to-close moves), it typically produces a tighter, more informative volatility estimate than simpler approaches. It’s often most helpful when gaps occur and when the open and close carry meaningful information about the session’s trading.
4)Yang–Zhang Volatility
The Yang–Zhang volatility estimator is designed to account for both opening jumps and price drift. It estimates volatility by combining overnight (close-to-open) variance, intraday (open-to-close) variance, and a weighted Rogers–Satchell component using OHLC data, often yielding a more robust measure than simpler close-to-close style estimators.
5) Option price
By default, the indicator uses the call option strike dated closest to the warrant expiration date. Since the Greeks for both the warrants and the
options are assumed to be equivalent with a minor difference in theta (time-to-expiry), the theoretical price of the warrants closely matches the trade price of the call strike chosen.
There is a table that can be enabled (off by default because it is large and fills entire screen on mobile) which shows all the configuration settings and Greeks.
You can also manually adjust the "dilution" factor for the warrants, which shifts the number of active warrants and moves the count into the shares outstanding for the underlying (GME). The reason for this is that as warrants get exercised, the total quantity of warrants in circulation decreases and the the total quantity of shares outstanding increases.
Since this indicator was built around the single warrant, ticker NYSE: GME/W, it is only meant to be used with NYSE:GME. Any other ticker will not work properly with this indicator.
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways.
Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation.
█ WHAT IT DOES
• Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress
• Exposes Net Displacement (how far price actually moved)
• Exposes Path Length (total distance price traveled)
• Calculates Chop Cost (wasted movement)
• Visual zones for high/mid/low efficiency states
█ WHAT IT DOES NOT DO
• NO signals, NO entries/exits, NO buy/sell
• NO performance claims
• NO predictions — purely diagnostic
• This is a tool for understanding price behavior
█ HOW IT WORKS
The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?"
🔹 THE MATH
Over a lookback period of N bars:
Net Displacement = |Close - Close |
Path Length = Σ |Close - Close | for all bars
Efficiency Ratio = Net Displacement / Path Length
🔹 INTERPRETATION
• Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress
• Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop
• Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise
🔹 CHOP COST
This is the "wasted movement" — how much price traveled without making progress:
Chop Cost = Path Length - Net Displacement
Chop % = Chop Cost / Path Length
High chop cost means lots of effort for little result — a warning sign for trend traders.
█ VISUAL GUIDE
Three efficiency zones:
• GREEN (≥70): High efficiency — strong directional movement
• YELLOW (30-70): Mixed efficiency — some progress, some chop
• RED (<30): Low efficiency — mostly noise, little progress
█ INPUTS
Lookback Length (default: 14)
Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes.
Smoothing Length (default: 5)
EMA smoothing applied to the output. Reduces noise in the efficiency reading.
Apply Smoothing (default: true)
Toggle EMA smoothing on/off.
Scale Mode (default: 0–100)
Display as percentage (0-100) or decimal ratio (0-1).
Show Reference Bands (default: true)
Display the high/low efficiency threshold lines.
Low/High Efficiency Level (default: 30/70)
Thresholds for classifying efficiency zones.
Overlay Effect (default: None)
• None: No overlay
• Background Tint: Subtle chart background color in high/low zones
• Bar Highlight: Color bars during low efficiency periods
Show Data Window Values (default: true)
Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis.
█ USE CASES
This indicator helps traders understand:
• Why some trends are "clean" and others are "messy"
• When price is consolidating vs trending (without using volume)
• The relationship between movement and progress
• Why high-chop environments are difficult to trade
This is the foundational concept behind more advanced regime detection systems.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes
Note: This is a price-only indicator — no volume required
█ DISCLAIMER
This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
Ichimoku Cloud Strategy - 1H HyperliquidStategy for Hyperliquid 1hr time frame using Ichimoku's Cloud.
Price Contraction / Expansion1. Introduction
The Price Contraction / Expansion indicator highlights areas of market compression and volatility release by analyzing candle body size and volume behavior. It provides a fast, color-coded visualization to identify potential breakout zones, accumulation phases, or exhaustion movements.
This tool helps traders recognize when price action is tightening before a volatility expansion — a common precursor to strong directional moves.
2. Key Features
Dynamic body analysis: Compares each candle’s body size with a moving average to detect contraction (small bodies) and expansion (large bodies).
Volume confirmation: Measures whether volume is unusually high or low compared to its recent average, helping filter false breaks.
Color-coded system for clarity:
Yellow: Contraction with high volume (potential accumulation or strong activity).
Blue: Contraction with normal volume or expansion with low volume (neutral/reduced participation).
Green: Expansion in bullish candle (buyer dominance).
Red: Expansion in bearish candle (seller dominance).
Customizable parameters: Adjust body and volume averaging periods and thresholds to fit different market conditions or timeframes.
3. How to Use
Identify contraction zones: Look for blue or yellow bars to locate areas of price compression — these often precede breakouts or large movements.
Wait for expansion confirmation: A shift to green or red bars with increasing volume indicates that volatility is expanding and momentum is building.
Combine with context: Use this indicator alongside trend tools, liquidity zones, or moving averages to confirm directional bias and filter noise.
Adapt thresholds: In highly volatile markets, increase the “Threshold multiplier” to reduce false contraction signals.
This indicator is most effective for traders who focus on volatility behavior, market structure, and timing potential breakout opportunities.
GC1 Orderflow Engine - sudoTLDR
This indicator measures relative buying and selling pressure by comparing GC1! futures returns against XAU price returns, normalized by their own volatility and weighted by GC1! volume. The result is a pressure histogram and line that show whether futures orderflow is leading, lagging, or diverging from spot gold in real time.
What this indicator does
The Orderflow Engine is designed to answer one core question:
Is GC1! futures orderflow applying net pressure in the same direction as XAU, or pushing against it?
It does this by isolating relative strength and weakness between futures and spot, rather than looking at price direction alone.
How the pressure calculation works
1. GC1! futures returns and XAU returns are calculated bar by bar
2. Each return is normalized by its own recent volatility
3. The normalized XAU return is subtracted from the normalized GC1! return
This creates a relative pressure value:
Positive pressure - GC1! futures are outperforming XAU
Negative pressure - GC1! futures are underperforming XAU
Near zero - futures and spot are moving in balance
To emphasize meaningful activity:
GC1! volume is converted into a normalized score
Higher-than-normal futures volume increases the weight of the pressure
Low-volume pressure is naturally dampened
The final output is clamped to keep the scale stable across different market conditions.
Visual output
Histogram
Green bars - positive futures pressure
Red bars - negative futures pressure
Gray bars - neutral or minimal pressure
Pressure line
A smoother view of the same pressure data
Useful for spotting momentum shifts and divergence
Zero line
Represents balance between futures and spot
Crosses often mark changes in orderflow control
Optional annotations
Regime shift markers based on futures participation
Optional percent-change labels for studying pressure acceleration
How to use it
-Confirm whether price moves are supported by futures orderflow
-Spot early divergence between GC1! and XAU
-Identify absorption , distribution , or initiative behavior
-Filter entries by trading only when pressure aligns with your bias
-This tool is best used as confirmation and context, not as a standalone signal generator.
Design philosophy
-Self-normalizing across sessions and volatility regimes
-No fixed thresholds that break over time
-Focused on relative behavior, not prediction
-Built to pair naturally with the Participation Regime indicator
RSI Monitor (High/Low) + MTF & Time FilterDual-Source RSI: Calculates RSI on the candle High (to detect selling pressure/overbought) and Candle Low (to detect buying pressure/oversold) rather than just the Close.
Multi-Timeframe (MTF) Dashboard: An on-screen table displays the Real-Time RSI High and Low values for your current chart plus two user-defined higher timeframes (e.g., 1H, 4H).
Session-Based Alerts: A built-in time filter restricts alerts to a specific trading window (e.g., 09:30–16:00), effectively blocking signals during low-volume overnight sessions.
Independent Alert Timeframe: You can configure alerts to monitor a specific timeframe (e.g., 60-min) regardless of the timeframe you are currently viewing.
Real-Time Execution: Alerts trigger immediately when levels are crossed (no bar-close confirmation required), ensuring you catch moves as they happen.
RSI Dual-Source DashboardRelative Strength Index
Table with adjustable positions
Shows:
RSI, 14 Source High (on given TF)
RSI, 14 Source Low (on given TF)
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
Professional 3SD Institutional Rejection
This indicator identifies institutional "liquidity grab" and "momentum exhaustion" zones using the statistical extremes of 3 Standard Deviations (3SD) on Bollinger Bands. Unlike standard strategies, it doesn't just look for band touches; it confirms price "wicking" outside the 3SD and closing back inside the 2SD band (rejection), while ensuring the Money Flow Index (MFI) shows signs of exhaustion. It is highly effective on 1H, 4H, and Daily timeframes for mean-reversion setups targeting the median line.
AKILLI ANALIZ TERMINALI (V20-REVIZE)SMART ANALYSIS TERMINAL (V20-ULTIMATE)
This indicator is a professional-grade analysis terminal designed for both strategic daily analysis (Swing Trade) and real-time intraday trading (Scalp/Day Trade). It allows you to perform a complete technical X-ray of the market on a single dashboard.
CORE FEATURES:
- Dual-Mode Hybrid Engine: Choose between "NIGHT (ANALYSIS)" or "IN-DAY (AGGRESSIVE)" modes in settings. Mathematical periods and target levels update automatically.
- Smart Scoring System: Blends RSI, MACD, EMA, ADX, and Volume data to produce 5 distinct signals from "VERY POSITIVE" to "VERY NEGATIVE."
- Symmetrical Visual Panel: Left panel displays Live Signal, Pivot Balance, Money Flow, and Target/Support; right panel focuses on RSI, Trend, Momentum, and Volume confirmation.
- Money Flow Algorithm: Detects institutional accumulation (Entry) or distribution (Exit) by analyzing price-volume correlation.
USER GUIDE:
1. NIGHT MODE: Use for evening analysis to plan for the next day. Based on EMA 20/50 and standard MACD values.
2. IN-DAY MODE: Use during live sessions on 5m and 15m charts. Catch instant momentum shifts with EMA 9/21 and aggressive settings.
QuantLabs Multi Asset Similarity Matrix [V3 Final]The Market is a graph. See the flows:
The QuantLabs MASM is not a standard correlation table. It is an Alpha-Grade Scanner architected to reveal the hidden "hydraulic" relationships between global macro assets in real-time.
Rebuilt from the ground up for Version 3, this engine pushes the absolute limits of the Pine Script™ runtime. It utilizes a proprietary Logarithmic Math Engine, Symmetric Compute Optimization, and a futuristic "Ghost Mode" interface to deliver a 15x15 real-time correlation matrix with zero lag.
Under the Hood: The Quant Architecture
We stripped away standard libraries to build a lean, high-performance engine designed for institutional-grade accuracy.
1. Alpha Math Engine (Logarithmic Returns) Most tools calculate correlation based on Price, which generates spurious signals (e.g., "Everything is correlated in a bull run").
The Solution: Our engine computes Logarithmic Returns (log(close /close )) by default. This measures the correlation of change (Velocity & Vector), not price levels.
The Result: A mathematically rigorous view of statistical relationships that filters out the noise of general market drift.
Dual-Core: Toggle seamlessly between "Alpha Mode" (Log Returns) for verified stats and "Visual Mode" (Price) for trend alignment.
Calculation Modes: Pearson (Standard), Euclidean (Distance), Cosine (Vector), Manhattan (Grid).
2. Symmetric Compute Optimization Calculating a 15x15 matrix requires evaluating 225 unique relationships per bar, which often crashes memory limits.
The Fix: The V3 Engine utilizes Symmetric Logic, recognizing that Correlation(A, B) == Correlation(B, A).
The Gain: By computing only the lower triangle of the matrix and mirroring pointers to the upper triangle, we reduced computational load by 50%, ensuring a lightning-fast data feed even on lower timeframes.
3. Context-Aware "Ghost Mode" The UI is designed for professional traders who need focus, not clutter.
Smart Detection: The matrix automatically detects your current chart's Ticker ID. If you are trading QQQ, the matrix will visually highlight the Nas100 row and column, making them opaque and bright while dimming the rest.
Dynamic Transparency: Irrelevant data ("Noise" < 0.3 correlation) fades into the background. Only significant "Alpha Signals" (> 0.7) glow with full Neon Saturation.
Key Features
Dominant Flow Scanner: The matrix scans all 105 unique pairs every tick and prints the #1 Strongest Correlation at the bottom of the pane (e.g., DOMINANT FLOW: Bitcoin ↔ Nas100 ).
Streak Counter: A "Stubbornness" metric that tracks how many consecutive days a strong correlation has persisted. Instantly identify if a move is a "flash event" or a "structural trend."
Neon Palette: Proprietary color mapping using Electric Blue (+1.0) for lockstep correlation and Deep Red (-1.0) for inverse hedging.
Usage Guide
Placement: Best viewed in a bottom pane (Footer).
Assets: Pre-loaded with the Essential 15 Macro Drivers (Indices, BTC, Gold, Oil, Rates, FX, Key Sectors). Fully editable via settings (Ticker|Name).
Reading the Grid:
🔵 Bright Blue: Assets moving in lockstep (Risk-On).
🔴 Bright Red: Assets moving perfectly opposite (Hedge/Risk-Off).
⚫ Faded/Black: No statistical relationship (Decoupled).
Key Improvements Made:
Formatting: Added clear bullet points and bolding to make it scannable.
Clarity: Clarified the "Logarithmic Returns" section to explain why it matters (Velocity vs. Price Levels).
Tone: Maintained the "high-tech/quant" vibe but removed slightly clunky phrases like "spurious signals" (unless you prefer that academic tone, in which case I left it in as it fits the persona).
Structure: Grouped the "Modes" under the Math Engine for better logic.
Created and designed with love by David James @QuantLabs : )
Beast Mode - ORB Indicator [Advanced Retest & Targets]Beast Mode - ORB Indicator
The Beast Mode - ORB Indicator is a comprehensive institutional trading system designed to automate the Opening Range Breakout (ORB) strategy. Unlike standard ORB indicators that simply draw high/low lines, this script integrates "Smart Retest" logic, dynamic risk/reward targets, and volume/volatility filters to help traders identify high-probability setups while filtering out chop and fake-outs.
This tool is designed for Futures (ES, NQ, YM) and Equities traders who rely on the initial market balance to determine the day's directional bias.
How It Works
The Opening Range is defined as the High and Low price established during the first X minutes of the market session (e.g., 5 minutes, 15 minutes). This range represents the initial battle between buyers and sellers.
1. The Range Formation: The script monitors the user-defined opening window (e.g., 9:30–9:35 AM ET). Once the window closes, it plots the ORB High (Green), ORB Low (Red), and Midline (Gray).
2. The Breakout: A signal is generated when a candle closes outside the defined range. This signal is filtered by volume (must be higher than average) and range quality (to avoid trading during extremely tight or over-extended ranges).
3. The Smart Retest (New Feature): Breakouts often fail. The most reliable entry is often the retest of the breakout level. This script uses a unique algorithm to detect valid retests:
- Tolerance: Price must return to within a specific point range of the ORB level.
- Rejection: Price must physically "bounce" away from the level by a minimum point value.
- Volume: The rejection candle must have significant volume to confirm institutional defense of the level.
Key Features
1. Dynamic Risk/Reward Targets
The indicator automatically projects profit targets based on the size of the Opening Range:
- Target 1 (💰): Placed at a 1:1 ratio relative to the range size. (e.g., If the range is 20 points, T1 is 20 points above the High).
- Target 2: A user-defined multiplier (default 2.0x) for extended trend days.
- Stop Loss Zones: Visual dotted lines indicating statistically significant stop-loss placement levels.
2. Smart Retest Logic
Instead of blindly buying a touch of the line, the script waits for confirmation. It looks for a "Checkmark" pattern: Breakout -> Pullback to Zone -> Rejection Bounce. Retest signals are marked with a distinct "RE" label.
3. Quality Filters
- Volume Filter: Ensures that breakout signals are backed by relative volume (RVOL) to avoid "low volume drift" fake-outs.
- Range Filter: Prevents signals if the Opening Range is too small (chop) or too large (exhaustion), based on point values.
4. Professional Dashboard
A data table displays real-time statistics:
- Status: Forming, Active, or Waiting.
- Range: The exact size of the opening range in points.
- Position: Current price relation to the ORB (Above/Below/Inside).
- Targets: Exact price levels for T1 and T2.
Settings & Configuration
- ORB Timeframe: Select between 5m PreMarket, 5m Standard, 15m, or 30m ranges.
- Trading Session: Define your active trading hours (signals are muted outside this window).
- Target Multiplier: Adjust the extension for the second target (e.g., 1.5x, 2.0x, 3.0x).
- Retest Specifics:
- Tolerance: How close price must get to the line to count as a test.
- Min Bounce: How hard price must reject to trigger a signal.
- Visuals: Fully customizable colors for lines, backgrounds, and labels.
Disclaimer
This indicator is a technical analysis tool intended to assist in identifying market structure and potential areas of interest. Past performance of the Opening Range Breakout strategy does not guarantee future results. Users should always manage risk appropriately and use this tool in conjunction with their own analysis.
Concepts based on standard institutional Opening Range Breakout theory.
Gamma Conviction OscillatorGamma Conviction Oscillator
OVERVIEW
The Gamma Conviction Oscillator is a specialized momentum study that integrates volume-weighted price change with a dynamic volatility-adjustment engine. Unlike traditional oscillators, it scales its sensitivity based on current market ATR, allowing the tool to stay responsive during low-volatility drifts and stabilize during high-volatility expansions.
THE MATH BEHIND THE "CONVICTION"
Volatility-Adjusted Sensitivity: The script utilizes a normalized ATR ratio to calculate a 'Dynamic Adjustment Factor.' This ensures that overbought/oversold thresholds are not static but react to the current market regime.
Volume-Weighted Basis: Momentum is calculated using the product of price-change and volume, ensuring that "Conviction" is only displayed when there is actual participation behind the move.
Trend-Alignment Filter: The coloring engine uses a long-term moving average anchor to determine the 'Context.' Conviction is categorized as 'Trend-Aligned' or 'Counter-Trend' based on the price relation to this long-term anchor.
HOW TO USE
Observe the Oscillator Color:
Bright Lime / Bright Red: High-momentum extremes aligned with the long-term trend. Indicates areas where price movement has strong participation and trend confirmation.
Teal / Maroon: Counter-trend momentum extremes, highlighting potential areas for trend testing or mean-reversion.
Assess Overbought and Oversold Zones:
The dynamic overbought (OB) and oversold (OS) levels adjust based on current market volatility. Readings outside these zones indicate stronger-than-normal conviction.
Consider Trend Context:
Compare the oscillator reading to the long-term trend (based on the selected moving average). Alignment with the trend reinforces trend strength; divergence may indicate temporary pullbacks or consolidation.
Adjust Inputs for Your Trading Timeframe:
Base Oscillator Length: Shorter values make the oscillator more responsive to intraday momentum; longer values smooth for swing analysis.
Volatility Smoothing Length: Controls sensitivity to ATR fluctuations; higher values reduce noise in volatile markets.
Dynamic Sensitivity Factor: Fine-tunes how strongly volatility influences the oscillator scale.
Use as an Educational Guide:
This tool is a visualization of historical and current momentum. Use it to study how momentum builds, fades, or reverses. It does not generate trade signals and is for educational and informational purposes only.
NOTES
All calculations are proprietary and protected to preserve the underlying logic. This script is intended purely as an educational visualization tool.
Rainbow Road [kingthies]Rainbow Road
Rainbow Road is a trend-structure and momentum visualization tool built around a cascading chain of smoothed simple moving averages. Instead of plotting independent moving averages on price, each line is progressively smoothed from the prior one using the same length, creating a layered “road” that reveals trend strength, direction, and transition with exceptional clarity.
OVERVIEW
Rainbow Road visualizes trend quality using a spectrum of fast-to-slow moving averages derived from one another. Because each average is smoothed from the prior line, the indicator forms a continuous structure rather than a collection of unrelated signals. This makes trend alignment, momentum expansion, and compression immediately visible.
HOW IT WORKS
The first average is a Simple Moving Average of price
Each subsequent average is an SMA of the previous average using the same length
This creates a cascading chain of averages with increasing smoothness
Colors progress from red (fastest) to purple (slowest) to represent trend hierarchy
HOW TO READ IT
Strong Trend : All averages are aligned and expanding in the same direction
Acceleration : Spacing between averages increases
Deceleration : Spacing narrows while direction remains intact
Consolidation : Averages converge and overlap
Reversal Risk : Faster averages cross back through the slowest average
TREND CONTEXT
The optional fill between the fastest and slowest averages visualizes overall trend pressure. Expanding fill suggests strengthening momentum, while contracting fill highlights compression and potential regime change.
USE CASES
Trend confirmation and directional bias
Momentum expansion vs compression analysis
Identifying trend exhaustion and early reversal zones
Contextual filtering for entries and exits
WHY RAINBOW ROAD
Traditional moving average stacks often produce clutter and redundant signals. Rainbow Road focuses on structure and flow, helping traders evaluate the quality of a trend rather than reacting to individual crossovers.
BEST USED WITH
Price action and market structure
Support and resistance
Volatility or range-based tools
Higher-timeframe trend bias
Rainbow Road is designed to sit quietly on your chart and clearly communicate whether the market is flowing, stalling, or preparing to turn.
Opening Power Bar Strategy (Trade Your Edge)💎 GENERAL OVERVIEW:
The Opening Power Bar Strategy indicator identifies high-momentum “Power Bars” during the first 60 minutes of the New York session and generates Long/Short signals using levels from the pre-market session. The indicator plots Stop-Loss and three Take-Profit levels, manages dynamic trailing stop-loss logic (optional), displays pre-market levels, and supports alerts.
This indicator was developed by Flux Charts in collaboration with Steven Adams (Trade Your Edge).
🔹What is the purpose of the Opening Power Bar Strategy?:
The purpose of the Opening Power Bar Strategy is to trade the most active and meaningful part of the trading day, the opening move. It’s designed to take advantage of the volume and volatility that happens right after the market opens, when traders react to overnight news and pre-market movement. The indicator helps identify when that early move has real strength by looking for a large, decisive candle (a Power Bar) forming around key pre-market levels. Once it detects one, it builds a full trade plan automatically with entry, stop-loss, and take-profits.
🔹Why are signals only during the first 60 minutes?:
Most of the day’s total trading volume happens within the first 60 minutes after the market opens. This period usually sets the high or low of the day and defines the bias: whether the market will trend or stay in a range. After this first hour, volume and volatility typically decrease, and price movement becomes less consistent.
🔹What’s the theory behind the Opening Power Bar Strategy?:
The Opening Power Bar Strategy is built on a simple principle: the first hour after the market open sets the tone for the rest of the day. This period consistently shows the highest trading volume, as traders react to overnight news, economic data releases, pre-market movements, etc.
These early reactions often establish the day’s high/low, revealing where buyers or sellers are strongest. When a large, decisive candle (a Power Bar) forms during this time near the pre-market high or low, it confirms that one side is taking control. The pre-market high and low define the range that institutions and short-term traders had already reacted to before the market open. Thus, when a Power Bar forms near one of these levels during the first hour, it often marks the start of a breakout or rejection that shapes the rest of the session.
🎯 OPENING POWER BAR STRATEGY FEATURES:
The Opening Power Bar Strategy indicator includes 5 main features:
Power Bars
Pre-Market High / Low / Mid Levels
Long / Short Signals + Risk Management
Simple Moving Average (SMA)
Alerts
1️⃣ Power Bars:
🔹What are Power Bars?:
Power Bars are large, high-momentum candles that show strength in one direction of the market. They form when a candle’s body (the distance between open and close) dominates most of the candle’s total range (the distance between high and low), meaning price moved strongly in one direction with little to no pullback. To qualify, the candle must also be large relative to nearby candles. This size difference confirms that the candle is a true burst of momentum. In short, Power Bars reveal where real strength has just entered the market and where momentum is most likely to continue.
🔹How to interpret and use Power Bars:
When a Power Bar forms, it signals that price just made a strong directional move with little to no pullback. Traders can use these bars to identify momentum shifts and potential trade setups during the opening session.
A bullish Power Bar means buyers controlled the entire candle, often marking the start of upward momentum. A bearish Power Bar means sellers were in control the entire candle, often signaling the start of downwards momentum. In the Opening Power Bar Strategy, these candles are only used for signals when they appear within the pre-market high and low range. Their location relative to the pre-market midline determines direction bias:
Bullish Power Bars forming near the pre-market low can signal potential long opportunities.
Bearish Power Bars forming near the pre-market high can signal potential short opportunities.
🔹How are Power Bars identified?:
Power Bars are detected and confirmed only after the candle closes, ensuring that the full candlestick body and range can be measured. The indicator does not repaint or change past bars. Once a Power Bar is confirmed, it stays fixed on the chart. Power Bars can be detected on any timeframe or symbol that produces standard candlestick data. However, since the Opening Power Bar Strategy focuses on the first 60 minutes of the trading session, they’re most meaningful on lower intraday timeframes such as 1-minute to 5-minute charts.
The indicator identifies Power Bars using two user-defined inputs: Sensitivity and Body %.
🔹Sensitivity:
The Sensitivity setting determines how large a candle’s body must be relative to nearby candles. It uses the Average True Range (ATR) to compare the current candle’s size with recent candles, and the Sensitivity value acts as a multiplier of that ATR. A higher Sensitivity value means the candle must be much larger than recent candles to qualify, so fewer Power Bars will form. A lower value makes the filter less strict, allowing more candles to qualify.
🔹Body %:
The Body % setting controls what percentage of the candle’s total range must be body rather than Wick. A higher value requires the body to take up more of the candle’s total range, so fewer candles pass the filter. A lower value allows candles with more wick to qualify, so more Power Bars will form.
Body % Example:
If Body % is set to 50, the candle body must cover at least half of the candle’s total range. For example, if a candle’s high is $11, its low is $10, its open is $10.20, and its close is $10.80, then the total range is $1 ($11 - $10) and the body is $0.60 ($10.80 - $10.20). Body % = (Body / Total Range) * 100 = (0.60 ÷ 1.00 × 100) = 60%. Since 60% is greater than the input of 50%, this candle passes the Body % criteria.
Once a candlestick closes and it meets both the Sensitivity and Body % requirements, it will be plotted in a different color, using barcolor() function. Users can adjust the bullish/bearish colors of Power Bars by adjusting the ‘Candle Coloring’ setting. The Power Bar candle coloring is purely visual and does not affect signal logic or strategy calculations.
🔹Do Power Bars form outside the first 60 minutes?:
Power Bars can technically form at any time of day, but the Opening Power Bar Strategy only uses those formed between 9:30 AM and 10:30 AM ET for trade signals.
2️⃣ Pre-Market Levels
The indicator tracks pre-market price action from 4:10 AM EST until 9:29 AM EST to determine the session’s High and Low. When pre-market ends, both levels are drawn and continuously projected to the right throughout the regular session. A midline is calculated as the midpoint between those levels and is used to determine bullish or bearish bias at the open. This midline is calculated in the indicator’s background and not visually plotted.
Long signals require price to be positioned below the midline before breaking upward, and Short signals require price to be positioned above the midline before breaking downward.
Users can enable retest labels, which appear if price touches the pre-market low, and closes above it, or if price touches the pre-market high, and closes below it. Users can also enable/disable the pre-market levels. If disabled, the pre-market high and pre-market low levels will not be displayed.
3️⃣Long/Short Signals:
Long and Short signals only trigger during the first hour of the New York trading session, between 9:30 AM and 10:30 AM EST. These signals form between the Pre-Market Low (PML) and Pre-Market High (PMH).
▫️ A Long entry requires:
1) A bullish power bar forms
1.a) The candle’s low is < the 50% area or Midpoint of the PML/PMH range
1.b) The candle closes above the PML, but below the PMH
2) If this candle occurs between 09:30 AM and 10:30 AM, a long signal will appear.
▫️ A Short Entry requires:
1) A bearish power bar forms
1a) The candle’s high is > the 50% area or Midpoint of the PML/PMH range
1b) The candle closes below the PMH, but above the PML
2) If this candle occurs between 09:30 AM and 10:30 AM, a short signal will appear.
Only one trade can be active at a time. Users can enable or disable Long Signals and Short Signals independently. Entry markers appear directly on the chart at confirmation.
When a signal is plotted on the Power Bar’s candle close, the indicator automatically builds a rule-based trade structure and plots the following information:
Stop-Loss (SL)
Take-Profit 1 (TP 1)
Take-Profit 2 (TP 2)
Take-Profit 3 (TP 3)
For Long signals, the SL is placed at the low of the bullish Power Bar and TP 1 is placed at the PMH. The distances for TP 2 and TP 3 are then measured using the move from the entry price to TP 1. That same distance is added once above TP 1 to set TP 2, and added again above TP 2 to set TP 3.
For Short signals, the SL is placed at the high of the bearish Power Bar, and TP 1 is placed at the PML. The distances for TP 2 and TP 3 are then measured using the absolute value of the move from the entry price to TP 1. That same distance is subtracted once below TP 1 to set TP 2, and subtracted again below TP 2 to set TP 3.
🔹Trailing Stop-Loss Feature:
When the Trailing Stop-Loss setting is enabled, the Stop-Loss (SL) automatically adjusts as price reaches take-profit levels. This feature helps secure profits while keeping the trade logic completely rule-based and non-discretionary.
Here’s exactly how it works step-by-step:
▫️ Initial Stop-Loss placement:
For a Long trade, the initial SL is set at the low of the Power Bar that triggered the entry.
For a Short trade, the initial SL is set at the high of the Power Bar that triggered the entry.
This level stays fixed until one of the Take-Profit targets is reached.
▫️ After TP 1 is hit:
The SL automatically moves to the entry price (breakeven).
This eliminates all downside risk on the trade.
▫️ After TP2 is hit:
The SL automatically moves to TP 1
This locks in a partial profit while allowing the trade to continue toward TP 3.
▫️ Final exit condition:
The trade is considered complete once either the trailing Stop-Loss or TP 3 is reached.
4️⃣Simple Moving Average (SMA)
In addition to the core trade logic, the indicator includes an optional Simple Moving Average (SMA) that provides extra confirmation and context for interpreting Power Bar signals. The SMA is not related to any of the signal generation logic. It does not influence when or where Power Bars or trade signals appear. Instead, it serves as a contextual confirmation tool and should be used as an additional way to interpret the strength and quality of a setup once a signal is triggered.
There are a few ways the SMA can be used for extra context with the Opening Power Bar Strategy:
▫️ #1 Directional Confirmation:
The SMA is mainly used as a confirmation tool for countertrend Power Bar setups. It helps traders identify when a strong reversal may be developing against the prior trend.
When the SMA is sloping downward but a bullish Power Bar closes above it, that can signal a potential shift from bearish to bullish momentum.
When the SMA is sloping upward but a bearish Power Bar closes below it, that can indicate a possible transition from bullish to bearish conditions.
▫️ #2 Timing Entries
When a large Power Bar prints a signal far away from the SMA, it often indicates that price has moved quickly and temporarily extended away from its average level. In these cases, the SMA can be used as a pullback area where price may retrace before resuming its move. Waiting for this pullback can often lead to a better risk-to-reward trade setup.
For example, in the chart below, a strong bullish Power Bar formed and triggered a Long signal while closing well above the SMA. Entering immediately after the signal would have produced a 0.22 risk-to-reward to TP 1. However, waiting for price to retrace back toward the SMA before entering would have resulted in a much stronger 2.46 risk-to-reward ratio.
The SMA provides a simple way to identify areas for safer pullback entries when a Power Bar signal forms too far from its average level. This helps traders maintain consistency with their risk-to-reward targets and align entries with their trading plan.
▫️ #3 Risk/Trade Management:
During active trades, the SMA can also be used to gauge the healthiness of a trend.
If price continues to respect the SMA after entry, it supports holding the position toward later Take-Profit levels. Additionally, the SMA can highlight areas where traders may consider adding to existing positions if price respects it.
If price closes strongly back through the SMA in the opposite direction, traders may use that as an early exit or a signal that momentum has shifted.
▫️ Optional and Visual Only:
The SMA is an optional visual overlay that can be turned on or off in the indicator’s settings. It is purely there for traders who want an added layer of confirmation and structure when evaluating setups from the Opening Power Bar Strategy.
Users can customize the length of the SMA and the color within the settings.
📢 Alerts:
The indicator supports alerts, so you never miss a key market move. You can choose to receive alerts for each of the following conditions:
Long Signal
Short Signal
TP 1 (Take-Profit 1)
TP 2 (Take-Profit 2)
TP 3 (Take-Profit 3)
SL (Stop-Loss)
Pre-Market Low Retest
Pre-Market High Retest
🚩UNIQUENESS:
This indicator automates a structured opening-range strategy that traders typically manage manually each morning. It identifies valid Power Bars only when they occur inside the pre-market high/low range, confirms direction using pre-market midline context, and automatically builds risk targets using the pre-market range itself. Once a valid trigger occurs during the defined trade window, the indicator immediately generates a complete trade idea (entry/SL/TP 1-3) with built-in trailing logic and alerts.
