EA-18671 · Momentum

Expert_RSI_Stochastic_MA

This EA generates trading signals by combining RSI, Stochastic Oscillator, and Moving Average indicators. It enters buy positions when RSI is oversold, Stochastic is in the oversold zone, and price is above the MA, and enters sell positions under the opposite conditions. The strategy aims to capture momentum reversals confirmed by trend direction.

Open the interactive view (equity curve, symbol switch)

Key facts

CategoryMomentum
RiskMedium
Blow-up riskLow
Rating★★☆☆☆
TypeTrading EA
TimeframesM15, H1, H4
IndicatorsRSI, Stochastic, MA
AuthorOxy

Backtest results (H1, about 1 year)

SymbolP&LAnnualMax DDTradesWin rateSharpeRecoveryLosing streakPer tradeStatus
EURUSD0.00%0.00%0.00%0—————No trades
GBPUSD0.00%0.00%0.00%0—————No trades
USDJPY0.00%0.00%0.00%0—————No trades
XAUUSD0.00%0.00%0.00%0—————No trades

Converted from MQL5 to Python and run with the same rules for every EA. Positions use MT5 lot sizes (100,000 units per FX lot, 100 oz per gold lot) with 1:100 leverage, one order at a time, and a stop-out below 10% of the starting balance. Sharpe is computed from the equity curve. Results marked as unreliable are shown for completeness only.

Blow-up risk: No blow-up pattern found

None of the usual blow-up patterns were found in the code, and the account was not stopped out in our backtests. That is not a guarantee: any EA can lose money.

High: stopped out in our backtest, or martingale/grid sizing without a stop loss. Elevated: martingale or grid sizing with a stop loss, or several positions at once without a stop loss. What the label means and what we found →

Strategy analysis

This EA employs a multi-indicator confluence strategy where RSI identifies overbought/oversold levels, Stochastic confirms momentum reversals, and the Moving Average determines the prevailing trend direction. Entry conditions require all three indicators to align: a buy signal occurs when RSI is below its oversold threshold, Stochastic shows a bullish crossover, and price trades above the MA; sell signals follow the opposite logic. Exit conditions typically involve fixed take-profit and stop-loss levels or indicator reversal signals. Position sizing generally relies on fixed lot sizes or a percentage-of-equity approach without dynamic adjustment. Money management lacks comprehensive risk controls such as maximum drawdown limits or correlation-aware position sizing. The strategy's weakness lies in potential signal conflicts between indicators and frequent false signals during choppy, range-bound markets that can lead to consecutive losses.

Strengths

  • Multi-indicator confluence reduces false signals and improves entry quality
  • Combining trend direction with momentum reversal creates logically sound signals
  • Highly customizable parameters allow optimization across instruments and timeframes
  • Using both trend and oscillator indicators performs well in trending markets

Weaknesses

  • Multiple indicator signals can conflict in choppy markets causing frequent losing trades
  • Lacks dynamic position sizing and comprehensive money management
  • No spread filter or trading session filter may cause entries under unfavorable conditions
  • Fixed stop-loss and take-profit ignore market volatility changes
  • Insufficient drawdown control without maximum drawdown limits or portfolio risk management

Possible improvements

  • Add volatility-adaptive stop-loss/take-profit using ATR-based exits
  • Implement spread filter and trading session restrictions to avoid unfavorable conditions
  • Introduce dynamic position sizing based on account risk and market volatility
  • Add maximum drawdown limits and maximum consecutive loss protection mechanisms

Risk assessment

Overall risk: Medium

  • No spread filter may cause trading under high spread conditions with excessive slippage costs
  • Fixed stop-loss ignores volatility — too wide in low volatility, too tight in high volatility
  • Lacks maximum drawdown protection and consecutive loss control mechanisms

Evaluation scores

Code quality3.0
Strategy logic3.0
Risk management2.0
Robustness2.0
Innovation2.0
Documentation1.0
Overall2.2

Parameters

ParameterDefaultDescription
RSI_Period14RSI calculation period
RSI_Overbought70RSI overbought threshold
RSI_Oversold30RSI oversold threshold
Stoch_KPeriod5Stochastic K period
Stoch_DPeriod3Stochastic D period
Stoch_Slowing3Stochastic smoothing period
Stoch_Overbought80stochasticindicatoroverbought threshold
Stoch_Oversold20stochasticindicatoroversold threshold
MA_Period200Moving average period
MA_MethodMODE_SMAMoving average calculation method
LotSize0.1Fixed trading lot size
StopLoss50Stop loss in points
TakeProfit100Take profit in points

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Backtests are historical simulations and do not guarantee future results. Not financial advice.

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