Descripción
The need_money_cBot strong signal MultiStrategy is a professional cTrader cBot designed for disciplined, rule-based trading across Forex, Gold, indices and other CFD markets. Instead of relying on a single indicator, the bot combines RSI, MACD, Bollinger Bands, Supertrend, ATR, Fibonacci retracements, Elliott-wave logic and price action into a weighted confirmation system.
It is developed to pass any evaluation at prop firms with it s adjustable parameters.
At first start it is initial needed to change the "Initial Balance" value to your selected money account size.
Trades are opened only when enough signals agree, helping to filter weak setups and focus on stronger market conditions. Built-in prop-firm-oriented risk controls include daily and total drawdown protection, equity monitoring, trade limits, loss-streak protection, margin checks, dynamic position sizing, Break Even and ATR trailing stops.
Every major component can be adjusted, weighted or disabled, making the strategy highly flexible for backtesting and genetic optimisation. It is built for traders who want automation, transparency and strict risk control without black-box decision making.
Trading involves risk and no strategy can guarantee profits. But the need_money_cBot provides a solid technic of a reproducable trading strategy.
Resumen
The bot includes adjustable parameters for all major components, allowing customization, backtesting, and genetic optimization. It features built-in risk management tools tailored for prop firm requirements, such as daily and total drawdown limits, equity monitoring, trade limits, loss-streak protection, margin checks, dynamic position sizing, Break Even, and ATR-based trailing stops. It supports swing trading with low trade frequency and is optimized for a recommended minimum balance of $1,000.
The need_money_cBot emphasizes transparency and strict risk control without black-box decision-making. It is suitable for traders seeking automation with a reproducible, multi-strategy technical approach. The bot was backtested over several months with leverage of 30 and supports multiple risk models including fixed lot, fixed risk percentage, and volatility-based sizing.
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