Algorithmic & Quantitative TA

This strategy identifies and follows established trends. It uses two simple moving averages (SMAs) to generate clear buy and sell signals. Traders enter when the fast SMA crosses the slow SMA, aligning with the new trend direction.

This strategy identifies and trades breakouts from defined price ranges. It uses a volatility measure to adapt range boundaries. Traders enter when price clears the range, anticipating continued momentum.

This strategy exploits temporary price divergences between statistically related assets. It uses cointegration to identify stable relationships. Traders simultaneously buy one asset and sell another, betting on their convergence.

This strategy identifies potential trend reversals using Relative Strength Index divergence. Traders apply specific entry and exit rules for systematic execution.

This strategy identifies trading opportunities using Average True Range channels. It capitalizes on price excursions beyond volatility bands. Entry and exit rules are precise.

This strategy identifies trading opportunities using volume profile rejections. It focuses on areas of high liquidity and their subsequent failure. Entry and exit rules are precise.

This strategy identifies trading opportunities based on changes in the yield curve. It capitalizes on shifts between long-term and short-term interest rates. Entry and exit rules are systematic.

This strategy exploits price deviations from a moving average. It uses Bollinger Bands to identify overextended conditions. Traders enter against the breakout direction, anticipating a return to the mean.