Alg0 FleX - Automated Trading Strategies

M0Mentum Pullback Hunter (Main Strategy)

• This strategy capitalizes on extreme RSI readings, utilizing them as powerful momentum signals to initiate trades. When these signals are identified, the strategy executes trades by buying or selling during a pullback to the 5 EMA (low) for long positions or the 5 EMA (high) for short positions. The exit strategy is dynamic, targeting the rolling 12-bar high or low. This rolling high/low feature is particularly effective, as it adjusts the profit target during prolonged consolidations, gradually lowering it with each new bar. The most successful trades typically unfold within 2 to 6 bars. To manage risk, a hard stop is set based on a multiple of the ATR or a fixed tick size from the position’s average price, with both parameters adjustable through user inputs. Designed for the 1-minute timeframe on the Nasdaq 100 (NQ), this strategy is both robust and reliable, boasting a win rate between 70% and 80%, with larger profits on winning trades. However, it is advisable to avoid signals that arise from volatility driven by economic news, as these can skew the performance.

M0Mentum Drive Hunter (Bonus Strategy)

• This strategy is designed to spotlight significant price movements around cash market opens and key news events throughout the trading day. The indicator specifically targets the following time windows for these movements: 02:00 - 02:15, 03:00 - 03:15, 08:30 - 08:45, and 09:30 - 09:45 (New York Time). A "cash open/news event drive" occurs when the cash market opens or a significant news event is released, causing the price to move decisively either up or down from the opening price. This movement often sets the high or low for the remainder of the session or the entire trading day and frequently signals the beginning of a trend session. This strategy is meticulously crafted for use on the 5-minute timeframe of the Nasdaq 100 (NQ), leveraging these prominent moves for trade entries. With an impressive 70% win rate and generally larger winning trades, it stands out as an effective and reliable approach. On average, it generates about 5 signals per month, making it a focused yet profitable trading strategy.