EA-17076 · Momentum

Exp_WeightOscillator

This EA trades based on the Weight Oscillator indicator, generating buy signals when the oscillator crosses above its signal line and sell signals when it crosses below. It applies a customizable money management system with dynamic position sizing and includes trailing stop functionality for trade management.

Open the interactive view (equity curve, symbol switch)

Key facts

CategoryMomentum
RiskMedium
Blow-up riskLow
Rating★★★☆☆
TypeTrading EA
TimeframesM15, H1, H4
IndicatorsWeight Oscillator, Signal Line, Moving Average, Trailing Stop
Author—

Backtest results (H1, about 1 year)

SymbolP&LAnnualMax DDTradesWin rateSharpeRecoveryLosing streakPer tradeStatus
EURUSD0.00%0.00%0.00%0—————Not convertible yet
GBPUSD0.00%0.00%0.00%0—————Not convertible yet
USDJPY0.00%0.00%0.00%0—————Not convertible yet
XAUUSD0.00%0.00%0.00%0—————Not convertible yet

Why this EA never traded: no entry rule survived the conversion.

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

The strategy concept is based on crossover signals from the Weight Oscillator indicator, which computes a composite momentum value by applying weighted averaging across multiple periods. Entry conditions trigger a buy when the oscillator crosses above its signal line and a sell when it crosses below. Exit conditions include trailing stop activation, fixed stop-loss and take-profit levels being reached, and position closure on opposing crossover signals. Position sizing employs a money management module that dynamically calculates lot size based on account balance and a configurable risk percentage. The money management system supports multiple modes including fixed lots, fixed fractional, and dynamic fractional sizing, allowing traders to adjust according to their risk appetite. This strategy is a classic momentum-following system that relies on oscillator momentum shifts to capture the early stages of trending moves.

Strengths

  • Based on composite weighted oscillator signals, it captures momentum shifts more comprehensively than single indicators
  • Supports multiple money management modes, flexibly adapting to traders with different risk preferences
  • Includes trailing stop functionality to effectively protect accrued profits
  • Well-parameterized design with all key parameters externally configurable for optimization
  • Signal line crossover mechanism provides objective entry and exit rules, reducing subjective judgment interference

Weaknesses

  • Oscillator strategies tend to generate frequent false signals in ranging markets, leading to consecutive losses
  • Lacks a market state filter (e.g., trend strength or volatility filter) to distinguish trending from ranging conditions
  • Improperly set trailing stop parameters may trigger premature exits in volatile markets
  • Single indicator dependency means the strategy lacks multi-dimensional confirmation, limiting signal reliability
  • No spread filter included, potentially resulting in unfavorable fills in high-spread environments

Possible improvements

  • Add a trend filter (e.g., ADX or higher timeframe moving average direction) to trade oscillator signals only in trending markets and reduce false signals
  • Implement spread and volatility filters to avoid opening positions under unfavorable trading conditions
  • Introduce multi-timeframe confirmation requiring higher timeframe directional alignment before entry

Risk assessment

Overall risk: Medium

  • Lack of market state filter may lead to consecutive losses in ranging markets
  • Trailing stops may be prematurely triggered during sharp volatility, limiting profit potential
  • Single indicator dependency increases the risk of signal failure

Evaluation scores

Code quality3.0
Strategy logic3.0
Risk management3.0
Robustness2.0
Innovation2.0
Documentation2.0
Overall2.5

Parameters

ParameterDefaultDescription
LotSize0.1Fixed trading lot size
StopLoss50Stop loss in points
TakeProfit100Take-profit in points (~10 points)
TrailingStop30Trailing stop in points; 0 to disable
WeightOscillatorPeriod14Weight oscillator period
SignalPeriod5SilverTrend signal period parameter
MoneyManagementfalseEnable money management
RiskPercent2Per-trade risk percentage based on account balance
MagicNumber12345EA magic number for order identification

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

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