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Trend & Probability Analysis
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Category: Simple Trend Following
đ¯ What it's best for: Catching early directional trends in fast-moving stocks or cryptocurrencies.
âī¸ How it works: Compares the 9-period average price against the 21-period average. When the fast line (SMA 9) crosses above the slow line (SMA 21), a BUY signal triggers. When it crosses below, a SELL signal triggers.
đĄ Best Market Condition: Strong trending markets. Avoid using in flat, sideways markets.
Category: High-Accuracy Trend Breakout
đ¯ What it's best for: High-probability setups that filter out false breakouts.
âī¸ How it works: Uses a baseline trend filter (EMA 50) and momentum oscillator (RSI). Triggers a BUY signal only when price is above the 50 EMA AND RSI momentum crosses above 50.
đĄ Best Market Condition: High-volume breakout periods when an asset is gaining rapid momentum.
Category: Counter-Trend / Ranging Strategy
đ¯ What it's best for: Buying extreme lows and selling extreme highs when prices bounce inside a range.
âī¸ How it works: Triggers a BUY signal when the price touches the lower Bollinger Band while RSI is oversold (< 35). Triggers a SELL signal when price touches the upper band with RSI overbought (> 65).
đĄ Best Market Condition: Ranging / sideways markets where prices move back and forth without breaking out.
Category: Machine Learning & Event Confluence
đ¯ What it's best for: Fusing traditional price action with real-world global events and news sentiment.
âī¸ How it works: A Random Forest Classifier ingests volume, momentum, and price changes to predict the next candle's direction. Simultaneously, a VADER Sentiment NLP Agent reads live Yahoo Finance headlines. A signal only triggers if the ML prediction and Global Sentiment agree.
đĄ Note: Blue arrows indicate AI Buy signals, Orange arrows indicate AI Sell signals. Loading this algorithm might take a few extra seconds to fetch NLP news data.