Description
Strategy Type and Trading Approach
Net Profit Bot – a performance-focused system built around one core objective: consistently growing net account equity. Rather than combining a large number of independent strategies, the logic is streamlined and geared toward capturing profitable moves efficiently while keeping the underlying rule set clean and easy to follow.
Entry Logic and Execution Behavior
Signals are evaluated on a per-candle basis, with the bot entering the market once its core conditions align. The focus lies on entry precision rather than trade frequency – the goal is to participate in genuine directional moves rather than reacting to every minor price fluctuation.
Risk and Money Management Principles
Each trade is managed with a clearly defined, fixed risk framework – no martingale, no grid, no unbounded position stacking. This keeps the risk profile predictable and consistent regardless of account size, which is reflected in the bot's stable performance across different starting capital levels.
Key Trading Parameters
Lot size and risk parameters are configurable and should be calibrated to the trader's account size and risk tolerance. The bot has been tested successfully across different capital levels, from smaller to larger accounts.
Who This Bot Is Best Suited For
Ideal for traders who want a straightforward, profit-oriented system without the complexity of multi-strategy setups – suitable for both smaller accounts starting out and larger accounts looking for consistent, scalable performance.
Backtest Results (XAUUSD)
Tested across two account sizes with consistent results: a 1,000 starting capital grew by approximately +27%, and a 10,000 starting capital achieved a very similar growth rate of around +28% over the same test period – demonstrating that performance scales proportionally rather than depending on a specific account size. Past backtest results are no guarantee of future performance; results depend heavily on parameters, time period, and market conditions.
Important Limitations and Usage Notes
Backtest results depend heavily on the chosen time period, spread, and prevailing market conditions. During periods of high volatility (e.g. news events), spread and execution quality may deteriorate temporarily. Regular monitoring and periodic parameter review are recommended.
