EA-20087 · Session Trading

OpenTime

OpenTime is a session-based EA that executes trades at specific market open times, capitalizing on the volatility and momentum that typically occur at the start of major trading sessions. It places pending orders or market orders at predetermined times aligned with session openings such as London or New York. The EA relies on time-based entry logic rather than traditional technical indicators.

Open the interactive view (equity curve, symbol switch)

Key facts

RiskMedium
Blow-up riskLow
Rating★★★☆☆
TypeTrading EA
TimeframesM5, M15, H1
IndicatorsTime
AuthorCopyright © 2018, Vladimir Karputov

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

The core strategy of OpenTime leverages high volatility during market session opening times. Entry conditions are triggered by fixed time schedules, where the EA automatically places orders when the preset session open time is reached. Exit conditions typically rely on stop loss and take profit settings, with some versions including time-based forced closure logic. Position sizing uses either fixed lot sizes or account-balance-proportional calculation methods. Money management is handled through stop loss to control per-trade risk, but the strategy heavily depends on the accuracy of session timing selection. The strategy assumes that directional volatility at session opens provides a statistical edge, but the absence of technical indicator confirmation for trade direction introduces the risk of blind entries.

Strengths

  • Capitalizes on high volatility and liquidity advantages at market session opens, which statistically have directional probability edges
  • Simple and clear strategy logic with explicit execution rules, easy to backtest and optimize
  • Avoids prolonged position holding risk with limited trading windows, resulting in efficient capital utilization
  • Time-driven strategy is not affected by indicator lag, providing precise entry timing

Weaknesses

  • Lacks technical indicator confirmation for trade direction, uncertain opening direction may lead to frequent stop losses
  • Fixed-time entries cannot adapt to different market conditions, open-breakout strategies tend to fail in ranging markets
  • Pending orders may experience significant slippage during volatile periods, causing large deviations between actual and expected fill prices
  • No scaling or adjustment logic included, a single trade failure has substantial impact on overall performance

Possible improvements

  • Add technical indicator confirmation (such as EMA trend direction, RSI overbought/oversold) as filters for session-open trades to improve win rate
  • Implement volatility-adaptive mechanisms using ATR to dynamically adjust stop loss, take profit, and pending order distances for different market conditions

Risk assessment

Overall risk: Medium

  • No technical indicator direction confirmation, consecutive losses possible when opening direction is uncertain
  • High slippage risk during session opens, especially during major news releases where actual fills may significantly deviate from expectations

Evaluation scores

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

Parameters

ParameterDefaultDescription
OpenHour8Trading open hour
OpenMinute0Trading open minute
StopLoss50Stop loss in points
TakeProfit100Take profit in points
Lots0.1Trading lot size
MagicNumber20087EA unique magic number identifier
OrderTypeBuyStopPending order type (Buy Stop/Sell Stop, etc.)
PendingDistance20Pending order distance from current price in points
OrderExpiry60Pending order expiration time in minutes

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

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