Multi CEX BTC Spot vs Perpetual PremiumThis Indicator shows the BTC Spot vs Perpetual premium across different CEX.
Ciclos
Square Root Candles Its just a squareroot candles of Main chart the major support and resistance levels at 0.1, 0.45 and 0.75 levels
AI's Opinion Trading System V21. Complete Summary of the Indicator Script
AI’s Opinion Trading System V2 is an advanced, multi-factor trading tool designed for the TradingView platform. It combines several technical indicators (moving averages, RSI, MACD, ADX, ATR, and volume analysis) to generate buy, sell, and hold signals. The script features a customizable AI “consensus” engine that weighs multiple indicator signals, applies user-defined filters, and outputs actionable trade instructions with clear stop loss and take profit levels. The indicator also tracks sentiment, volume delta, and allows for advanced features like pyramiding (adding to positions), custom stop loss/take profit prices, and flexible signal confirmation logic. All key data and signals are displayed in a dynamic, color-coded table on the chart for easy review.
2. Full Explanation of the Table
The table is a real-time dashboard summarizing the indicator’s logic and recommendations for the most recent bars. It is color-coded for clarity and designed to help traders quickly understand market conditions and AI-driven trade signals.
Columns (from left to right):
Column Name What it Shows
Bar The time context: “Now” for the current bar, then “Bar -1”, “Bar -2”, etc. for previous bars.
Raw Consensus The raw AI consensus for each bar: “Buy”, “Sell”, or “-” (neutral).
Up Vol The amount of volume on up (rising) bars.
Down Vol The amount of volume on down (falling) bars.
Delta The difference between up and down volume. Green if positive, red if negative, gray if neutral.
Close The closing price for each bar, color-coded by price change.
Sentiment Diff The difference between the close and average sentiment price (a custom sentiment calculation).
Lookback The number of bars used for sentiment calculation (if enabled).
ADX The ADX value (trend strength).
ATR The ATR value (volatility measure).
Vol>Avg “Yes” (green) if volume is above average, “No” (red) otherwise.
Confirm Whether the AI signal is confirmed over the required bars.
Logic Output The AI’s interpreted signal after applying user-selected logic: “Buy”, “Sell”, or “-”.
Final Action The final signal after all filters: “Buy”, “Sell”, or “-”.
Trade Instruction A plain-English instruction: Buy/Sell/Add/Hold/No Action, with price, stop loss, and take profit.
Color Coding:
Green: Positive/bullish values or signals
Red: Negative/bearish values or signals
Gray: Neutral or inactive
Blue background: For all table cells, for visual clarity
White text: Default, except for color-coded cells
3. Full User Instructions for Every Input/Style Option
Below are plain-language instructions for every user-adjustable option in the indicator’s input and style pages:
Inputs
Table Location
What it does: Sets where the summary table appears on your chart.
How to use: Choose from 9 positions (Top Left, Top Center, Top Right, etc.) to avoid overlapping with other chart elements.
Decimal Places
What it does: Controls how many decimal places prices and values are displayed with.
How to use: Increase for assets with very small prices (e.g., SHIB), decrease for stocks or forex.
Show Sentiment Lookback?
What it does: Shows or hides the “Lookback” column in the table, which displays how many bars are used in the sentiment calculation.
How to use: Turn off if you want a simpler table.
AI View Mode
What it does: Selects the logic for how the AI combines signals from different indicators.
Majority: Follows the most common signal among all indicators.
Weighted: Uses custom weights for each type of signal.
Custom: Lets you define your own logic (see below).
How to use: Pick the logic style that matches your trading philosophy.
AI Consensus Weight / Vol Delta Weight / Sentiment Weight
What they do: When using “Weighted” AI View Mode, these let you set how much influence each factor (indicator consensus, volume delta, sentiment) has on the final signal.
How to use: Increase a weight to make that factor more important in the AI’s decision.
Custom AI View Logic
What it does: Lets advanced users write their own logic for when the AI should signal a trade (e.g., “ai==1 and delta>0 and sentiment>0”).
How to use: Only use if you understand basic boolean logic.
Use Custom Stop Loss/Take Profit Prices?
What it does: If enabled, you can enter your own fixed stop loss and take profit prices for buys and sells.
How to use: Turn on to override the auto-calculated SL/TP and enter your desired prices below.
Custom Buy/Sell Stop Loss/Take Profit Price
What they do: If custom SL/TP is enabled, these fields let you set exact prices for stop loss and take profit on both buy and sell trades.
How to use: Enter your preferred price, or leave at 0 for auto-calculation.
Sentiment Lookback
What it does: Sets how many bars the sentiment calculation should look back.
How to use: Increase to smooth out sentiment, decrease for faster reaction.
Max Pyramid Adds
What it does: Limits how many times you can add to an existing position (pyramiding).
How to use: Set to 1 for no adds, higher for more aggressive scaling in trends.
Signal Preset
What it does: Quick-sets a group of signal parameters (see below) for “Robust”, “Standard”, “Freedom”, or “Custom”.
How to use: Pick a preset, or select “Custom” to adjust everything manually.
Min Bars for Signal Confirmation
What it does: Sets how many bars a signal must persist before it’s considered valid.
How to use: Increase for more robust, less frequent signals; decrease for faster, but possibly less reliable, signals.
ADX Length
What it does: Sets the period for the ADX (trend strength) calculation.
How to use: Longer = smoother, shorter = more sensitive.
ADX Trend Threshold
What it does: Sets the minimum ADX value to consider a trend “strong.”
How to use: Raise for stricter trend confirmation, lower for more trades.
ATR Length
What it does: Sets the period for the ATR (volatility) calculation.
How to use: Longer = smoother volatility, shorter = more reactive.
Volume Confirmation Lookback
What it does: Sets how many bars are used to calculate the average volume.
How to use: Longer = more stable volume baseline, shorter = more sensitive.
Volume Confirmation Multiplier
What it does: Sets how much current volume must exceed average volume to be considered “high.”
How to use: Increase for stricter volume filter.
RSI Flat Min / RSI Flat Max
What they do: Define the RSI range considered “flat” (i.e., not trending).
How to use: Widen to be stricter about requiring a trend, narrow for more trades.
Style Page
Most style settings (such as plot colors, label sizes, and shapes) are preset in the script for visual clarity.
You can adjust plot visibility and colors (for signals, stop loss, take profit) in the TradingView “Style” tab as with any indicator.
Buy Signal: Shows as a green triangle below the bar when a buy is triggered.
Sell Signal: Shows as a red triangle above the bar when a sell is triggered.
Stop Loss/Take Profit Lines: Red and green lines for SL/TP, visible when a trade is active.
SL/TP Labels: Small colored markers at the SL/TP levels for each trade.
How to use:
Toggle visibility or change colors in the Style tab if you wish to match your chart theme or preferences.
In Summary
This indicator is highly customizable—you can tune every aspect of the AI logic, risk management, signal filtering, and table display to suit your trading style.
The table gives you a real-time, comprehensive view of all relevant signals, filters, and trade instructions.
All inputs are designed to be intuitive—hover over them in TradingView for tooltips, or refer to the explanations above for details.
Capitulation Finder By MChiestesThe **'Capitulation Finder' indicator** is designed to detect extreme market exhaustion points—moments when selling or buying is so intense that a major price reversal may be near. It combines several technical factors to highlight likely "capitulation" events, which traditionally signal *market bottoms* (bullish capitulation) or *tops* (bearish capitulation), using both momentum and volume conditions .
**Input Parameters:**
- **RSI Length / Level:** Controls sensitivity to price momentum. Capitulation is flagged when RSI is oversold (e.g., ≤30) or overbought (e.g., ≥70).
- **Moving Average Type / Length:** Lets you choose as baseline (e.g., SMA, EMA) and its lookback period for price deviation calculations.
- **Distance from MA (%):** Sets how far price must stray from the MA (in %) to meet "extreme" conditions.
- **Volume Multiplier / Avg Length:** Requires the current volume to greatly exceed normal (average) volume, confirming broad market participation.
**How the Indicator Works:**
- **Bullish Capitulation:** Triggers when...
- RSI is *very low* (oversold).
- Price is **well below** the chosen MA by the input %, indicating a sharp drop.
- Current volume is **much greater** (e.g., 1.2x or more) than the average, confirming widespread panic selling.
- **Bearish Capitulation:** Triggers when...
- RSI is *very high* (overbought).
- Price is **well above** the MA, indicating a possible buyer frenzy.
- Volume also spikes, confirming conviction in the move.
**Additional Confirmations:**
Isolated checks also register when just the RSI and volume triggers are met, without considering price-MA distance. This helps identify milder extremes for early warning.
**Visual & Signal Output:**
- **Candle Colors:**
- Neon green: Bullish capitulation (oversold panic, possible buying opportunity).
- Neon red: Bearish capitulation (overbought euphoria, possible selling opportunity).
- Grey: No significant signal.
- **Registered Signals:** For use in alerts or strategies, the indicator flags each type of event.
**Market Philosophy:**
Capitulation combines *extreme momentum*, *distance from trend*, and *massive volume* to identify potential turning points. This methodology is inspired by historic crash/rebound patterns in stocks and crypto . Not every signal guarantees a reversal, but clusters of signals often mark good risk/reward entries or exits when panic or euphoria runs high.
**Summary Table:**
| Condition | Triggered When... | Signal | Candle Color |
|------------------|--------------------------------------------------------------|--------------------------|--------------|
| Bullish Capitulation | RSI ≤ oversold, Price ≪ MA, High Volume | Reversal Buy Alert | Neon Green |
| Bearish Capitulation | RSI ≥ overbought, Price ≫ MA, High Volume | Reversal Sell Alert | Neon Red |
| Confirmations | Only RSI + High Volume | Mild Buy/Sell Alert | (internal) |
| None | No conditions met | No Action | Grey |
**Typical Use:**
This indicator is best used with other tools, such as support/resistance or higher timeframe trends, and is adjustable to suit different markets (stocks, crypto, etc.) and trading styles .
**Limitations:**
- Capitulation signals are only *probabilities*, not certainties—a reversal may require confirmation by price action.
- The default settings may need adjustment for slow/fast-moving assets or different timeframes.
- High volume isn't always panic/euphoria—check fundamentals for context .
Let me know if you want the full logic in pseudo-code or need tips for adjusting parameters to your asset or timeframe.
in.tradingview.com
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AK-GOLD - Regime Detection V6AK-GOLD - Regime Detection V6
AK-GOLD - Regime Detection V6
AK-GOLD - Regime Detection V6
AK-GOLD - Regime Detection V6
AK-GOLD - Regime Detection V6
MacroHeat (Global Macro Growth Proxy)Overview:
MacroHeat by CWRP is a proprietary macroeconomic sentiment indicator that tracks the temperature of global industrial and risk-linked activity using market-based signals. It distills asset movements from metals, foreign exchange, and energy markets into a single, smoothed composite value. This tool is designed to help portfolio managers, traders, and strategists gauge the direction and momentum of real economy growth expectations.
MacroHeat does not predict policy or price action directly—it measures macro risk appetite and industrial growth expectations across three crucial asset pairs:
Copper/Gold Ratio – Industrial Metals vs. Defensive Metal
AUD/JPY Cross – Commodity-sensitive FX vs. Safe-haven FX
Brent/NatGas Ratio – Oil Demand vs. Gas Oversupply
These inputs are transformed into standardized z-scores to generate an intuitive composite signal of expansion, contraction, or neutrality in the global growth regime
Interpretation:
Copper / Gold Ratio
Copper is widely used in construction, manufacturing, and infrastructure. It responds to real-world industrial activity.
Gold is a traditional safe-haven asset, bid up in times of uncertainty or deflationary pressure. A rising Copper/Gold ratio implies higher industrial activity relative to defensive hedging, consistent with expansionary conditions.
AUD / JPY
AUD (Australian Dollar) is closely tied to the commodity cycle and heavily exposed to Chinese demand, especially for raw materials like iron ore and coal. JPY (Japanese Yen) is a low yielding, defensive currency that tends to strengthen during global stress due to Japan’s net external creditor position. A rising AUD/JPY indicates risk on sentiment and strength in Chinese or regional industrial demand. Falling values may signal risk aversion or cooling commodity linked activity.
📌 *Note: AUD is a proxy for China linked global demand. JPY reflects broader global risk sentiment, not the Japanese economy per se.
Brent / NatGas Ratio
Brent crude prices reflect global oil demand, typically linked to transportation, logistics, and industrial usage. Natural Gas, though also industrial, is often supply heavy and regionally priced. A high Brent/NatGas ratio can indicate tight oil supply or strong demand, relative to gas, suggesting higher economic activity.
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Each of the above components is converted into a Z-score using log returns over a 252-day rolling window. This standardizes movement and allows for cross-market comparison. The indicator then:
Averages the Z-scores of the three components (>1 is expansive, <-1 is contractive)
Smooths the result using a 5-day simple moving average
Classifies the result into macroeconomic regimes
And outputs to the table which has live component Z-scores with visual cues (yellow = expansionary; blue = contractionary).
Thank you for using the Global Macro Growth Proxy by CWRP!
I'm open to all critiques and discussion around macroeconomics and hope you find use in this model!
FOXEuropa 1This indicator provides automated buy and sell signals directly on the chart, including entry points, stop-loss (SL), and three take-profit levels (TP1, TP2, TP3).
It is based on an advanced momentum and trend-following algorithm, analyzing price action to accurately identify trading opportunities.
Suitable for both beginners and professionals, and can be used across all timeframes.
Indicator Features:
✅ Automated buy and sell signals
✅ Clear entry and exit points
✅ Built-in momentum/wave indicators
✅ Supports intraday and swing trading
FOXEuropaThis indicator provides automated buy and sell signals directly on the chart, including entry points, stop-loss (SL), and three take-profit levels (TP1, TP2, TP3).
It is based on an advanced momentum and trend-following algorithm, analyzing price action to accurately identify trading opportunities.
Suitable for both beginners and professionals, and can be used across all timeframes.
Indicator Features:
✅ Automated buy and sell signals
✅ Clear entry and exit points
✅ Built-in momentum/wave indicators
✅ Supports intraday and swing trading
BTC vs MSTR PerformanceBTC vs MSTR Performance - BULL
• Green: MSTR has outperformed BTC over the selected time period.
• Red: BTC has outperformed MSTR during the same time period.
• Horizontal line at 0: Separates positive from negative outperformance.
The SamuraiOverview
This strategy implements a session-based range breakout system specifically designed for GBP/JPY trading. The approach focuses on identifying key price ranges during specific market sessions and trading breakouts of these ranges during optimal trading windows. The strategy combines multi-timeframe analysis using 30-minute data with precise session timing to capture high-probability breakout moves.
Entry Logic
The strategy operates on a two-phase approach:
Range Collection Phase:
Monitors price action during a specified session window
Identifies session high and low levels
Only collects ranges on selected trading days
Trading Phase:
Long Entry: Price closes above the established session high
Short Entry: Price closes below the established session low
Entries only occur on valid trading days (day after range collection)
One trade per direction per session to prevent overtrading
Exit Conditions
Stop Loss: Set at a percentage of the session range below entry (long) or above entry (short)
Take Profit: Calculated using a Risk-Reward Ratio based on stop loss distance
Session Close: All positions are closed at the end of the trading window
Risk Management Features
Fixed risk-reward ratio of for consistent risk management
Stop loss calculated as percentage of session range for adaptive sizing
Visual risk/reward boxes display potential outcomes before entry
Daily session close protection prevents overnight exposure
Visual Features
Customizable Colors: Full control over line colors, styles, and box opacities
Risk/Reward Visualization: Color-coded boxes showing potential profit and loss zones
Take Profit Lines: TP level with different line styles for clarity
Stop Loss Line: Clear visual indication of risk level
Clean Interface: Streamlined settings focused on essential visual customization
Important Notes
Timeframe Dependency: Strategy uses 30-minute data regardless of chart timeframe for consistency
Session Timing: All times are in UTC - ensure proper timezone conversion for your location
Trading Days: Default setup trades Tuesday-Friday ranges (Monday-Thursday collection)
Single Position: Only one position per direction per session to maintain discipline
No Pyramiding: Strategy prevents position averaging to maintain clear risk parameters
Suggested Use
Recommended Pairs: Optimized for GBP/JPY but may work on other volatile pairs
Best Timeframes: Display on any timeframe (strategy uses 30m data internally)
Session Awareness: Most effective during high-volatility session transitions
Risk Management: Consider position sizing based on account risk tolerance
Market Conditions: Performs best in trending or breakout market environments
Backtesting Considerations
Strategy includes realistic entry/exit conditions based on closing prices
Visual elements help understand historical performance context
Built-in position management prevents unrealistic results
Session-based logic ensures trades align with actual market sessions
This strategy is designed for traders who prefer systematic, rule-based approaches to breakout trading with clear risk management parameters. The visual feedback helps in understanding market context and decision-making process.
Disclaimer: Past performance does not guarantee future results. Always test thoroughly on historical data and consider your risk tolerance before live trading.
BASE CountingBASE Formation Trend Indicator
This indicator automatically detects Bullish and Bearish BASE formations in trending markets.
Key Features:
Bullish and Bearish BASE detection with clear visual signals.
Dynamic line plotting to highlight important base formations.
Automatic reset logic ensures only valid new bases are highlighted.
Slope-colored moving averages for quick trend confirmation.
How to Use:
Green lines and labels indicate bullish base formations.
Red lines and labels indicate bearish base formations.
Use these bases to identify trend continuation points and potential breakout opportunities.
2% Averaging Buy-Sell Strategy📘 Strategy Description: 2% Averaging Buy-Sell Strategy
This strategy is designed to simulate an averaging-down and scaling-out approach based on percentage-based price movements.
Entry Logic (Buy):
Initial buy of 1 lot is triggered at the start of the strategy.
Every time the price drops by 2% from the last executed buy level, the strategy adds 2 more lots.
Exit Logic (Sell):
When the price rises 2% from the last buy level, the strategy sells 2 lots.
Selling continues in batches of 2 lots as long as the upward movement continues and lots are available.
Core Idea:
This is a dynamic averaging system that increases exposure during drawdowns and reduces it during rallies, aiming to capture mean reversion or trend reversals.
Customizable Inputs:
Initial lot size
Additional lot size
Percentage threshold (default 2%)
⚠️ Note: This strategy is for simulation/backtesting purposes. It does not account for slippage, fees, or real-world order execution conditions.
Detailed Monthly Seasonality Table By TheNextronThe "Detailed Monthly Seasonality Table" script is a Pine Script v6 TradingView indicator designed to visually analyze monthly performance trends for any security. It computes and displays how price behaves month-by-month over a user-defined number of years, offering a clean, data-rich dashboard for evaluating seasonal trading patterns.
📊 Purpose:
To help traders identify which months tend to be bullish or bearish, and how consistently the price reacts during those months, based on historical closing prices.
🧩 Key Features:
✅ User Inputs
Years to Analyze: How many past years to include in the analysis (e.g., 5–20 years).
Result Display Options:
% Change or Point Change
Toggle to show absolute performance or color-coded gain/loss
📅 Monthly Analysis Logic
For each month (Jan to Dec), the script:
Gathers historical data year by year
Calculates monthly return based on selected price type
📋 Dashboard Output
A custom table on the chart showing:
Each month's average % return
Win rate
Number of times the month was positive (green) or negative (red)
15-Min Chart, 7-Day High-Low SignalThis is a updated script to check for variances above 5% on buy and sell signals. This will help with mean reversion. Test before buying.
ORB Screener-Multiple Indicators [Marin adjusted]ORB Screener for multiple instruments
You can select the range of the ORB and see different indicators for the selected instruments
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal)
A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate.
⸻
Key Features
• Hash Rate SMAs
• Short-term SMA (default: 30 days)
• Long-term SMA (default: 60 days)
• Phase Markers
• Gray circle: Short SMA crosses below long SMA (start of capitulation)
• White circles: Ongoing capitulation, with brighter white when the short SMA turns upward
• Yellow circle: Short SMA crosses back above long SMA (end of capitulation)
• Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA)
• Display Modes
• Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery
• Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive)
• Optional Overlays
• Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels
• Raw hash rate data in EH/s
• Alerts
• Configurable alerts for capitulation start, recovery, and buy signals
⸻
How It Works
1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl).
2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating.
3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery.
4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA).
⸻
Inputs
Hash Rate Short SMA: 30 days
Hash Rate Long SMA: 60 days
Plot Signals: On
Plot Halvings: Off
Plot Raw Hash Rate: Off
⸻
Considerations
• Timeframe: Best applied on daily charts to capture meaningful miner behavior.
• Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data.
• Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis.
• Backtesting: Evaluate performance over different market cycles before live deployment.
Smart Order Blocks [Pro Version]Here’s a **clear, detailed "How It Works" explanation** for this indicator:
---
## ✅ **Smart Order Blocks \ – How It Works**
### **Purpose**
This indicator detects **Order Blocks (OBs)** based on **pivot highs and lows**, and automatically marks **Bullish** and **Bearish OB zones** on the chart with optional extensions and alerts. It is designed to help traders identify **institutional price levels** where liquidity is often engineered for future price moves.
---
### **Customization Options**
✔ **Source** → Choose between Wicks or Bodies for OB calculation.
✔ **Pivot Settings** → Adjust sensitivity for detecting pivots.
✔ **Extend OBs** → Keep zones visible until tapped, or fix a specific width.
✔ **Show Labels** → Displays OB type and strength on chart.
✔ **Colors** → Configure Bullish, Bearish, and Invalid OB colors.
---
### **Practical Usage**
* **Entry Strategy**:
* Wait for price to **revisit a Bullish OB** in an uptrend → Long entry.
* Wait for price to **revisit a Bearish OB** in a downtrend → Short entry.
* Combine with:
* **Market Structure (HH/HL or LH/LL)**.
* **Confirmation signals** (e.g., candlestick pattern, break of structure).
* **Risk Management** → Stop loss outside OB zone.
---
### ✅ **Summary in One Sentence**
The indicator automatically identifies **institutional OB zones**, shows their strength, extends them until mitigated, and alerts you when price interacts with these key liquidity levels, helping you trade like Smart Money.
---
Opening-Range BreakoutNote: Default trading date range looks mediocre. Set date range to "Entire History" to see full effect of the strategy. 50.91% profitable trades, 1.178 profit factor, steady profits and limited drawdown. Total P&L: $154,141.18, Max Drawdown: $18,624.36. High R^2
█ Overview
The Opening-Range Breakout strategy is a mechanical, session‑based day‑trading system designed to capture the initial burst of directional momentum immediately following the market open. It defines a user‑configurable “opening range” window, measures its high and low boundaries, then places breakout stop orders at those levels once the range closes. Built‑in filters on minimum range width, reward‑to‑risk ratios, and optional reversal logic help refine entries and manage risk dynamically.
█ How It Works
Opening‑Range Formation
Between 9:30–10:15 AM ET (configurable), the script tracks the highest high and lowest low to form the day’s opening range box.
On the first bar after the range window closes, the range high (OR_high) and low (OR_low) are “locked in.”
Range‑Width Filter
To avoid false breakouts in low‑volatility mornings, the range must be at least X% of the current price (default 0.35%).
If the measured opening-range width < minimum threshold, no orders are placed that day.
Entry & Order Placement
Long: a stop‑buy order at the opening‑range high.
Short: a stop‑sell order at the opening‑range low.
Only one side can trigger (or both if reverse logic is enabled after a losing trade).
Risk Management
Once triggered, each trade uses an ATR‑style stop-loss defined as a percentage retracement of the range (default 50% of range width).
Profit target is set at a configurable Reward/Risk Ratio (default 1.1×).
Optional: Reverse on Stop‑Loss – if the initial breakout loses, immediately reverse into the opposite side on the same day.
Session Exit
Any open positions are closed at the end of the regular trading day (default 3:45 PM ET window end, with hard flat at session close).
Visual cues are provided via green (range high) and red (range low) step‑line plots directly on the chart, allowing you to see the range box and breakout triggers in real time.
█ Why It Works
Early Momentum Capture: The first 15 – 60 minutes of trading encapsulate overnight news digestion and institutional order flow, creating a well‑defined volatility “range.”
Mechanical Discipline: Clear, rule‑based entries and exits remove emotional guesswork, ensuring consistency.
Volatility Filtering: By requiring a minimum range width, the system avoids choppy, low‑range days where false breakouts are common.
Dynamic Sizing: Stops and targets scale with the opening range, adapting automatically to each day’s volatility environment.
█ How to Use
Set Your Instruments & Timeframe
-Apply to any futures contract on a 1‑ to 5‑minute chart.
-Ensure chart timezone is set to America/New_York.
Configure Inputs
-Opening‑Range Window: e.g. “0930-1015” for a 45‑minute range.
-Min. OR Width (%): e.g. 0.35 for 0.35% of current price.
-Reward/Risk Ratio: e.g. 1.1 for a modest profit target above your stop.
-Max OR Retracement %: e.g. 50 to set stop at 50% of range width.
-One Trade Per Day: toggle to limit to a single breakout.
-Reverse on Stop Loss: toggle to flip direction after a losing breakout.
Monitor the Chart
-Watch the green and red range boundaries form during the session open.
-Orders will automatically submit on the first bar after the range window closes, conditioned on your filters.
Review & Adjust
-Backtest across multiple months to validate performance on your preferred contract.
-Tweak range duration, minimum width, and R/R multiple to fit your risk tolerance and desired win‑rate vs. expectancy balance.
█ Settings Reference
Input Defaults
Opening‑Range Window - Time window to form OR (HHMM-HHMM) - 0930–1015
Regular Trading Day - Full session for EOD flat (HHMM-HHMM) - 0930–1545
Min. OR Width (%) - Minimum OR size as % of close to trigger orders - 0.35
Reward/Risk Ratio - Profit target multiple of stop‑loss distance - 1.1
Max OR Retracement (%) - % of OR width to use as stop‑loss distance - 50
One Trade Per Day - Limit to a single breakout order per day - false
Reverse on Stop Loss - Reverse direction immediately after a losing trade - true
Disclaimer
This strategy description and any accompanying code are provided for educational purposes only and do not constitute financial advice or a solicitation to trade. Futures trading involves substantial risk, including possible loss of capital. Past performance is not indicative of future results. Traders should assess their own risk tolerance and conduct thorough backtesting and forward-testing before committing real capital.