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The Composite Predictive Index-(CPI-IG v5)**
The Composite Predictive Index (CPI-IG v5) is a comprehensive Market Institutional Indicator created by Alcides Davila and is an overlay indicator designed for institutional-grade market analysis and trading signals. Nevertheless, Daily-Short-Term Traders may also take advantage of this robust and efficient indicator. Still, they must make the necessary adjustments for scalping and for short-, medium-, and long-term trading. It synthesizes multiple technical factors (e.g., RSI, MACD, Bollinger Bands, VWAP, EMAs/SMAs, volume pressure, delta volume, manual sentiment/news inputs) into a weighted Z-score-based probability model (probUp) for forecasting price direction—generating buy/sell gates, strong/ultra signals, and short-term projections. It supports multi-timeframe alignment (HTF/LTF), breakout/breakdown detection with retests, internal backtesting, and alerts, while displaying dashboards for probabilities, stats, oscillators (bull/bear/neutral), major indexes (S&P, DJIA, Nasdaq), and ETFs (SPY, QQQ, etc.).
In terms of structure, it's highly reliable and productive: modular code with error-handling (safe divisions, approximations for tanh/erf), customizable modes (scalp to long-term), efficient resource use (max_bars_back=500), and cooldowns to prevent alert spam. Quality is strong, with transparent math, visual flexibility, and no apparent logic bugs—though real-world performance depends on market conditions and user tuning.
Investors can benefit significantly by using it for data-driven decisions, reducing bias through probability scores (e.g., >68% for buys), timing entries/exits with cross-confirmations, and monitoring broader market context via indexes/ETFs. It's especially useful for trend-following or reversal strategies, potentially improving win rates in volatile markets, but, like all indicators, it's not foolproof—use it in combination with risk management.
Strongest feature: The probability engine, which normalizes diverse signals into a robust, Z-scaled probUp metric (via the normal CDF or a logistic), enabling a quantifiable edge over traditional oscillators. Cheers...!!!
In terms of structure, it's highly reliable and productive: modular code with error-handling (safe divisions, approximations for tanh/erf), customizable modes (scalp to long-term), efficient resource use (max_bars_back=500), and cooldowns to prevent alert spam. Quality is strong, with transparent math, visual flexibility, and no apparent logic bugs—though real-world performance depends on market conditions and user tuning.
Investors can benefit significantly by using it for data-driven decisions, reducing bias through probability scores (e.g., >68% for buys), timing entries/exits with cross-confirmations, and monitoring broader market context via indexes/ETFs. It's especially useful for trend-following or reversal strategies, potentially improving win rates in volatile markets, but, like all indicators, it's not foolproof—use it in combination with risk management.
Strongest feature: The probability engine, which normalizes diverse signals into a robust, Z-scaled probUp metric (via the normal CDF or a logistic), enabling a quantifiable edge over traditional oscillators. Cheers...!!!
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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。