Note: The profit ratios presented here might appear astonishingly high. These figures are generated by an automated system that executes and logs trades on Binance. Each trade is associated with a specific position size. By maintaining your position size consistently, it's feasible to match the total PNL percentage by month's end. For instance, a Hafizebot user with a 100 USDT position size could, given the autotrader operates with an adequate wallet balance and achieves a monthly PNL of 1000%, realize a profit of 1000 USDT. The trades documented here do not involve any leverage. User profits can fluctuate based on factors like leverage, wallet balance, and the number of simultaneous positions, leading to potential earnings below or well above the PNL figures indicated.

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When configuring your Hafizebot, it's crucial to tailor your settings to your risk tolerance, wallet balance, and trading strategy. The PNLMIN column provides insight into the potential drawdown for different signal types, offering a critical reference for setting stop-loss limits.

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It's essential to acknowledge the limitations of predictive technologies; whether human or automated, predicting the cryptocurrency market's movements is inherently uncertain. Hafizebot's role is to enhance market direction predictions on a per-coin basis through advanced mathematical models and artificial intelligence.

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We encourage you to reach out with any questions or clarifications you may need.