average Trading Algorithms

Screening for stocks where WMA30 crosses above WMA60, recent and still valid, with pullback touching WMA30, and quality filters.

Detects short-horizon RSI divergences with volume filter and no pivot test.

Detects a double breakout pattern with specific conditions for the first breakout, congestion, and second breakout.

Enters long when price dips below upper Bollinger Band and is above a smoothed average, exiting based on ATR.

Adaptive SuperTrend with volatility-based multiplier, flip cushion, and cooldown mechanism, plus optional RSI and volume filters.

A multi-timeframe trend indicator that provides signals for long and short trades based on moving averages and ATR.

Adjusts trailing stop based on ATR and volume analysis to better adapt to market dynamics.

Moves stop loss to breakeven once trade moves 50 points in profit

Shorts when price crosses above midpoint and momentum decreases, with trailing stop.

Identifies strong breakouts using price action, momentum, and moving averages.

A hybrid strategy with mean-reversion on the long side and trend-following on the short side, using ATR-based stops and fixed percentage profit targets.

A multi-strategy system that ranks and executes trades based on quality score and divergence/reversal criteria.

Uses correlation and z-score to determine entry and exit points, with adjustable parameters for correlation calculation and z-score threshold.

Buys CAC40 on Tuesday mornings when the close is below the 65-period average and exits on Wednesday afternoons.

A scalping strategy using EMA, RSI, and MACD on M1 timeframe.

Enters trades when the angle of the moving average significantly increases, using VWAP and multiple timeframes.

Enters long when RSI and Stochastic are below certain levels and average conditions are met, exits when RSI and Stochastic conditions are violated.

Buys when price touches weekly and monthly support clusters formed by multiple moving averages and Bollinger Bands.

A mean-reversion strategy with automatic lookback selection and optional detrending, using z-scores and regime filters.

Buy when the price has fallen and starts to rise, not at a new high.

A simple momentum strategy using price action and filters for entry and exit on NASDAQ, 5-minute timeframe.

Starts trailing when 0.1% in profit and trails with 0.04% distance to highest price.

A long strategy based on wave divergence with a grid and multi-timeframe trailing stop.

Entry and exit based on Bollinger Bands with TP and SL set relative to Bollinger Middle.

Detects sequential events across multiple timeframes and triggers a buy signal when all events occur.

Enters long when SuperTrend and 100-period average cross above, and short when SuperTrend and 100-period average cross below, with trailing stop and fixed profit target.

Trend-following strategy using TDI indicator on a 5-minute chart.

Buy when 2-period RSI is below 15 and 22-period RSI is above 50 with positive 22-day MA slope.

Enters long on Monday until Thursday if close crosses above yesterday's high and MA(14) is above close, and enters short on Monday and Tuesday if close crosses below yesterday's low and MA(9) is below close.

Opens long positions when stochastic is oversold, price is above a moving average, and there is a cross between K and D lines; opens short positions with opposite conditions.

Trailing stop and Donchian channel stop with cumulative orders based on RSI and moving averages

A spread-bet test strategy for the DAX with conditions for entering and exiting long and short positions based on moving averages and RSI.

Enters long positions when the close price is between two moving averages and the lows are increasing, exits when the close price rises from the previous close.

Enters long if recent lows are broken and closes above the average, exits after 6 bars.

Trades based on Bollinger Bands piercing and accumulation of same direction candlesticks.

A small time frame strategy that attempts to enter the market and take profit quickly while allowing for quick reversals if the position becomes unprofitable.

Looks for breaking candles to join the trend and uses Wilder’s moving averages for trend identification.