PROTECTED SOURCE SCRIPT
R2 Strategy — Binary Option

📌 R2 Strategy — Multi-Context Price Reaction Tool With Visual Statistics
R2 Strategy is a price–reaction analytical tool designed to study how the market responds to short-term RSI deviations while being filtered by directional context using EMA. It provides visual statistical tables, simplified backtesting, and configurable filters to help traders better understand when market conditions historically aligned with the strategy’s criteria.
🔎 Core Concept
The indicator combines:
Short-period RSI values to detect potential exhaustion zones.
EMA filtering to distinguish trend direction and context.
Time-based behavior studies to analyze when signals historically perform better.
A signal is generated when the RSI exceeds the defined levels and price is reacting relative to the chosen EMA filter. The strategy does not execute trades; it highlights conditions that match its predefined criteria so traders can study and interpret the symptoms of potential reversals or continuations.
📊 Statistical & Backtest Visual Features
The tool includes visual tables and summaries that assist strategic research:
Feature Purpose
Winrate by hour Study intraday behavioral patterns
Winrate by weekday Identify habitual cycle tendencies
Multi-timeframe trend table Contextual confirmation
Compact layout mode Minimalist display
Custom period selection Study behavior in different market cycles
These statistical elements serve as visual study aids only and do not represent predictive or guaranteed outcomes.
⚙ User Configurable Parameters
Users may adjust:
RSI thresholds and period
EMA period and trend sensitivity
Display mode (tables, labels, compact)
Date-based backtest window
Day and hour filters
Cooldown settings to reduce repeated signals
This flexibility allows the user to experiment with different interpretations of market rhythm.
💡 Originality
This script integrates RSI reaction analysis, EMA trend contextualization, and multi-level visual statistics into a single tool designed for study-oriented decision support. The emphasis is not only on the signal but on interpreting how the signal behaved under specific market circumstances.
⚠ Limitations & Disclaimer
This script does not predict markets, guarantee accuracy, or eliminate risk.
Statistical results are historical observations, not forward projections.
It does not provide financial advice or automated execution.
Intended for analysis, research, and educational purposes only.
R2 Strategy is a price–reaction analytical tool designed to study how the market responds to short-term RSI deviations while being filtered by directional context using EMA. It provides visual statistical tables, simplified backtesting, and configurable filters to help traders better understand when market conditions historically aligned with the strategy’s criteria.
🔎 Core Concept
The indicator combines:
Short-period RSI values to detect potential exhaustion zones.
EMA filtering to distinguish trend direction and context.
Time-based behavior studies to analyze when signals historically perform better.
A signal is generated when the RSI exceeds the defined levels and price is reacting relative to the chosen EMA filter. The strategy does not execute trades; it highlights conditions that match its predefined criteria so traders can study and interpret the symptoms of potential reversals or continuations.
📊 Statistical & Backtest Visual Features
The tool includes visual tables and summaries that assist strategic research:
Feature Purpose
Winrate by hour Study intraday behavioral patterns
Winrate by weekday Identify habitual cycle tendencies
Multi-timeframe trend table Contextual confirmation
Compact layout mode Minimalist display
Custom period selection Study behavior in different market cycles
These statistical elements serve as visual study aids only and do not represent predictive or guaranteed outcomes.
⚙ User Configurable Parameters
Users may adjust:
RSI thresholds and period
EMA period and trend sensitivity
Display mode (tables, labels, compact)
Date-based backtest window
Day and hour filters
Cooldown settings to reduce repeated signals
This flexibility allows the user to experiment with different interpretations of market rhythm.
💡 Originality
This script integrates RSI reaction analysis, EMA trend contextualization, and multi-level visual statistics into a single tool designed for study-oriented decision support. The emphasis is not only on the signal but on interpreting how the signal behaved under specific market circumstances.
⚠ Limitations & Disclaimer
This script does not predict markets, guarantee accuracy, or eliminate risk.
Statistical results are historical observations, not forward projections.
It does not provide financial advice or automated execution.
Intended for analysis, research, and educational purposes only.
保護スクリプト
このスクリプトのソースコードは非公開で投稿されています。 ただし、制限なく自由に使用できます – 詳細はこちらでご確認ください。
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。
保護スクリプト
このスクリプトのソースコードは非公開で投稿されています。 ただし、制限なく自由に使用できます – 詳細はこちらでご確認ください。
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。