EA-15887 · Momentum

Exp_Fisher_org_v1_Sign

This EA trades based on signals from the Fisher_org_v1_Sign custom indicator, which uses a Fisher Transform with ATR normalization to identify momentum-based buy and sell signals. It opens buy positions on upward signals and sell positions on downward signals, with configurable stop-loss and take-profit levels, and supports multiple money management modes including lot-based and percentage-based sizing.

Open the interactive view (equity curve, symbol switch)

Key facts

CategoryMomentum
RiskMedium
Blow-up riskLow
Rating★★☆☆☆
TypeTrading EA
TimeframesH1, H4, D1
IndicatorsFisher Transform, ATR
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 core strategy of this EA is based on momentum signals from the Fisher Transform indicator, which converts price data into an approximately normal distribution to more clearly identify price turning points. Entry conditions: a buy position is opened when the indicator's upper buffer (UpValue) produces a non-zero, non-empty value on the specified signal bar, and a sell position is opened when the lower buffer (DnValue) produces a non-zero, non-empty value. Exit conditions include fixed stop-loss and take-profit levels (default 1000 points SL and 2000 points TP), plus reverse-signal-based closing — closing longs when a lower buffer signal appears and closing shorts when an upper buffer signal appears. Position sizing supports five modes: free margin-based, balance-based, loss-adjusted free margin, loss-adjusted balance, and fixed lot size. The EA implements a new bar detection mechanism to avoid duplicate trades, and when a reverse signal hasn't triggered a close, it retrospectively scans historical bars to find prior closing signals, which is a relatively unique logic design.

Strengths

  • Clear strategy logic based on the Fisher Transform momentum signal, which has solid statistical theory foundation and can effectively identify price turning points
  • Rich money management modes offering five different position sizing methods, adaptable to various risk preferences and account sizes
  • Implements new bar detection mechanism (CIsNewBar) to avoid duplicate position openings on the same bar, reducing overtrading risk
  • Supports independent control switches for opening and closing positions, providing high flexibility — can use signal-based closing only while opening positions via other methods

Weaknesses

  • Missing position check logic — will repeatedly open positions in the same direction when an existing position exists, potentially leading to excessive position stacking
  • ATR_Period variable is not declared as input type, preventing optimization in the strategy tester, which is a code defect
  • Stop-loss and take-profit use fixed point values rather than ATR-based dynamic calculation, unable to adapt to different volatility environments
  • The retrospective historical bar scanning logic for finding closing signals may cause performance issues with large data volumes and has no reasonable lookback limit
  • Missing spread filter, which may cause frequent stop-loss triggers or failed order openings in high-spread environments

Possible improvements

  • Add position check logic to detect existing same-direction positions before opening new ones, avoiding duplicate entries that lead to excessive risk exposure
  • Change ATR_Period to input type for strategy optimization, and consider using ATR-based dynamic stop-loss and take-profit calculation to adapt to market volatility changes
  • Add spread filter and maximum position limits to improve robustness under different market conditions

Risk assessment

Overall risk: Medium

  • Missing position check may cause same-direction position stacking, increasing risk exposure
  • Fixed-point stop-loss and take-profit cannot adapt to volatility changes — SL may be too wide in low volatility and TP hard to reach in high volatility
  • Historical bar retrospective scanning logic has no upper limit control, which may cause performance issues or unexpected signal matching in extreme cases

Evaluation scores

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

Parameters

ParameterDefaultDescription
MM0.1Money management ratio or lot value
MMModeLOTLot mode: free margin/balance/post-loss free margin/post-loss balance/fixed lot
StopLoss_1000Stop loss in points
TakeProfit_2000Take profit in points
Deviation_10Slippage deviation allowance
BuyPosOpentrueAllow opening long positions
SellPosOpentrueAllow opening short positions
BuyPosClosetrueAllow closing long positions
SellPosClosetrueAllow closing short positions
InpInd_TimeframePERIOD_H4Timeframe for iDeMarkerSign indicator
ATR_Period14ATR period (for indicator normalization)
Length7Volume-weighted MA period length
IPCPRICE_CLOSE_Price type applied to indicator calculation
UpLevel+1.5Upper overbought level threshold
DnLevel-1.5Lower oversold level threshold
SignalBar1Bar index for signal reading (0=current, 1=last completed)

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

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