EA-17163 · Scalping

Pipsover

Pipsover is a scalping EA that aims to capture small price movements (pips) by entering trades on short-term momentum shifts. It operates on lower timeframes and uses a fixed take-profit targeting minimal pip gains. The EA relies on quick entry and exit logic with minimal holding periods.

Open the interactive view (equity curve, symbol switch)

Key facts

CategoryScalping
RiskCaution
Blow-up riskLow
Rating★★☆☆☆
TypeTrading EA
TimeframesM1, M5, M15
IndicatorsMoving Average, RSI, Stochastic
AuthorCopyright © 2006, Yury V. Reshetov. ICQ: 282715499

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

  • Has no stop loss or trailing stop

On its own this is not a typical blow-up pattern, 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

Pipsover's strategy concept is based on short-term scalping, exploiting tiny price movements in the market for profit. Entry conditions typically rely on short-term momentum indicators or price breakout signals, entering trades immediately upon detecting rapid price shifts. Exit conditions use fixed small take-profit targets, usually only a few pips, combined with stop-losses to control individual trade losses. In terms of position sizing, the EA allows users to customize lot sizes but lacks dynamic position adjustment mechanisms such as ATR-based or account-balance-adaptive lot calculations. Money management is relatively simple, primarily relying on fixed lots and fixed stop-loss/take-profit ratios, with no equity drawdown protection or position reduction after consecutive losses. The overall strategy design leans toward high-frequency small profit accumulation, but may face significant risks under market conditions with widened spreads and slippage.

Strengths

  • Simple and clear strategy logic, easy to understand and debug
  • Uses fixed take-profit and stop-loss, risk parameters are clearly quantifiable
  • Includes spread filter to avoid entering during high spread conditions
  • Short holding periods lead to high capital utilization efficiency
  • Scalping strategy performs stably in low-volatility narrow-spread markets

Weaknesses

  • Scalping strategy is extremely sensitive to slippage and spread, actual execution may deviate significantly from backtesting
  • Lacks dynamic position sizing, cannot adapt lot size based on market volatility
  • No consecutive loss protection mechanism, may rapidly deplete account during high-frequency losing streaks
  • Fixed TP/SL does not account for market volatility changes, may be unsuitable across different market conditions
  • High trading frequency leads to significant cumulative commission costs

Possible improvements

  • Add ATR-based dynamic take-profit and stop-loss mechanism to automatically adjust based on market volatility
  • Implement equity drawdown protection and position reduction logic after consecutive losses

Risk assessment

Overall risk: Caution

  • Scalping strategy highly depends on execution quality, slippage can widen stop-losses while making take-profits harder to achieve
  • Lacks account-level risk controls such as maximum drawdown limits and daily loss limits
  • High-frequency trading may suffer severe slippage during news events or low liquidity periods

Evaluation scores

Code quality3.0
Strategy logic2.0
Risk management2.0
Robustness2.0
Innovation1.0
Documentation1.0
Overall1.8

Parameters

ParameterDefaultDescription
Lots0.1Lot size per trade
TakeProfit10Take profit in points
StopLoss20Stop loss in points
TrailingStop5Trailing stop in points
MagicNumber12345EA magic number for identifying this EA's orders
MaxSpread30Maximum allowed spread
TimeframeM5Running timeframe

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

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