Exp_PercentageCrossoverChannel_System
This EA trades based on a Percentage Crossover Channel system, generating buy signals when price crosses above the upper percentage channel boundary and sell signals when crossing below the lower boundary. It is a systematic breakout-style strategy that uses percentage-based dynamic channel calculations to identify trend initiation points. The system likely combines channel breakouts with crossover confirmation for trade entry.
Open the interactive view (equity curve, symbol switch)Key facts
Backtest results (H1, about 1 year)
| Symbol | P&L | Annual | Max DD | Trades | Win rate | Sharpe | Recovery | Losing streak | Per trade | Status |
|---|---|---|---|---|---|---|---|---|---|---|
| EURUSD | 0.00% | 0.00% | 0.00% | 0 | — | — | — | — | — | Not convertible yet |
| GBPUSD | 0.00% | 0.00% | 0.00% | 0 | — | — | — | — | — | Not convertible yet |
| USDJPY | 0.00% | 0.00% | 0.00% | 0 | — | — | — | — | — | Not convertible yet |
| XAUUSD | 0.00% | 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 concept of this strategy is a percentage-based channel breakout trading system where the upper and lower channel bands are calculated as percentage offsets from price, forming dynamic support and resistance zones. Entry conditions trigger a buy when price breaks above the upper channel band and a sell when price breaks below the lower band, following classic breakout logic. Exit conditions likely include closing positions when price retreats back inside the channel, using fixed take-profit/stop-loss levels, or closing on a reverse channel breakout. Position sizing details cannot be confirmed from the filename alone, but typical implementations use either fixed lot sizes or equity-based lot calculation. Money management aspects may include configurable stop-loss and take-profit parameters, though the specific risk controls require source code review to verify. The percentage-based channel approach has an inherent advantage over fixed-pip channels by self-adjusting to different price levels and volatility conditions across various market environments.
Strengths
- Percentage channel is self-adaptive, automatically adjusting channel width based on price level
- Breakout strategy logic is clear and performs well in trending markets
- Channel crossover confirmation mechanism can reduce false breakout signals
- Systematic trading eliminates emotional interference
- Percentage-based calculation offers better universality across different instruments and market conditions
Weaknesses
- Prone to frequent false breakout signals in ranging markets leading to consecutive losses
- Lacks dynamic volatility adaptation; fixed percentage parameters may not suit all market conditions
- Cannot confirm whether comprehensive position sizing and risk management mechanisms are included
- Breakout strategies inherently carry slippage risk, especially during low-liquidity sessions
- Relying on a single channel indicator may be insufficient for complex market environments
Possible improvements
- Add ATR or volatility indicator to dynamically adjust the channel percentage parameter, allowing channel width to self-adapt to market volatility changes
- Add trend filter indicators (such as ADX or higher timeframe moving averages) to reduce invalid trade signals in ranging markets
- Implement multi-timeframe confirmation mechanism to improve the validity of breakout signals
Risk assessment
Overall risk: Medium
- Cannot confirm whether stop-loss mechanism is included in source code; absence would pose extremely high risk
- Breakout strategies may produce consecutive losses in ranging markets, requiring maximum drawdown protection
- Cannot confirm whether new bar check is included, risking repeated position opening within the same bar
- Improper percentage channel parameters may result in overly narrow channels generating excessive trade signals
Evaluation scores
Parameters
| Parameter | Default | Description |
|---|---|---|
Channel_Percent | 0.5 | Channel percentage offset |
LotSize | 0.1 | Trading lot size |
StopLoss | 0 | Stop loss in points |
TakeProfit | 0 | Take profit in points |
MagicNumber | 18422 | EA magic number for order identification |
Timeframe | H1 | Trading timeframe |
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Backtests are historical simulations and do not guarantee future results. Not financial advice.