How Traders Are Making $15K/Month on Autopilot — No Coding Required

Establishes the first 15 bars high/low as the opening range, then enters on breakouts with ATR-based trailing stops.

ATR-based supertrend with an adaptive multiplier (1.5x to 3.5x) based on volatility percentile, requiring volume confirmation.

Applies Haar wavelet decomposition to remove market noise, revealing the underlying trend for cleaner entry signals.

9/21 EMA crossover enhanced with an online logistic regression confidence gate that filters ~40% of false signals.

Uses autoregressive integrated moving average modeling with Yule-Walker equations to forecast next-period price direction.

A 3-state Hidden Markov Model classifies the market into Bull, Bear, and Range regimes using Gaussian emissions.

A true ML binary classifier predicting next-bar direction using online gradient descent with 8 engineered features.

An online perceptron classifier with the kernel trick. Updates weights sharply on misclassification for fast regime adaptation.

Performs PCA on multi-horizon return vectors to extract the dominant signal direction via power iteration.

Detects bullish/bearish RSI divergences using linear regression on both price and RSI to statistically confirm the pattern.

Combines quantitative price momentum with LLM-powered news sentiment analysis. Entry requires alignment between both signals.

Uses an adaptive Kalman filter to track fair-value price. Trades entered when price deviates >2 sigma from the estimate.

Computes a rolling z-score of price against its 20-period mean. Entries at plus/minus 2 sigma (95% CI), exits when z crosses 0.

Computes Volume-Weighted Average Price and enters reversion trades when price deviates significantly from VWAP.

Models price as an Ornstein-Uhlenbeck process via MLE, computing mean-reversion half-life for statistical entries.

Classifies market regime using the Hurst exponent. H > 0.55 triggers breakout entries, H < 0.45 triggers mean-reversion entries.

Detects Bollinger Band squeezes and enters on band breakouts with RSI confirmation for volatility expansion.

Volume-weighted RSI that measures buying and selling pressure. Entries on oversold/overbought MFI crossovers.

Applies stochastic oscillator to RSI values, generating entries on crossovers in extreme zones.

Enhances MACD with a gradient-boosted ensemble of decision stumps on histogram features to filter noise.

Constructs a volume profile histogram to identify High Volume Nodes (HVN). Enters when price deviates from HVN.

Automatically detects swing highs and lows, projects Fibonacci retracement levels, and enters at key ratios.

Uses the Ichimoku Kinko Hyo system: cloud, tenkan, kijun, and lagging span for trend-following entries.

Multi-period supertrend confluence system requiring alignment across 3 timeframes for high-confidence entries.

Fast/slow EMA crossover system with ADX trend strength filter to avoid choppy markets.

Channel breakout system using highest high and lowest low over N periods. Classic turtle trading approach.

Stop-and-reverse system that trails price with an accelerating parabolic curve for trend-following exits and entries.

Identifies trend direction by comparing upward vs downward price movement. Entries on VI+ / VI- crossovers.

EMA plus/minus 2x ATR channels with an ADX directional movement filter for trend breakout entries.

5/34 EMA histogram measuring momentum. Entries on saucer setups and zero-line crossovers.

Chande Momentum Oscillator dividing net change by total movement. Entries at extreme readings and crossovers.

Triple-smoothed EMA rate of change that filters noise. Entries on TRIX signal line crossovers.

Combines price change and volume into a single oscillator. Entries on force index trend and signal crossovers.

Detects range compression/expansion cycles. Enters on reversal bulges predicting trend exhaustion.

Bull Power and Bear Power indicators measuring price relative to EMA. Entries on divergences and power shifts.

Relates price movement to volume. High values indicate easy upward movement with low volume resistance.

Detrended Price Oscillator removes trend to isolate cycles. Entries on oscillator crossovers and zero-line crosses.

Momentum oscillator measuring overbought/oversold levels relative to recent high-low range. Entries on reversals.

Commodity Channel Index z-score oscillator. Enters mean-reversion trades at extreme CCI readings beyond plus/minus 100.

Volume-based indicator measuring buying vs selling pressure. Entries on line divergences from price.

Volatility-based trailing stop using ATR from the highest high. Locks in profits while giving trends room.