Tengri
Tengri is a trend-following Expert Advisor that identifies and trades in the direction of established market trends using technical indicators. It enters positions when trend conditions are confirmed and manages trades with defined risk parameters. The EA aims to capture sustained directional moves across multiple timeframes.
Open the interactive view (equity curve, symbol switch)Key facts
Backtest results (H1, about 1 year)
Not backtested yet — this EA could not be converted automatically.
Strategy analysis
The core concept of the Tengri strategy is trend following, using technical indicators to determine the current market trend direction and entering positions after trend confirmation. Entry conditions are based on confluence signals from trend indicators, triggering trade signals when multiple indicators align in the same direction. Exit conditions include fixed stop-loss and take-profit levels, as well as dynamic exit mechanisms when trend reversal signals appear. Position sizing employs either fixed lot sizes or proportional calculations based on account balance, ensuring controlled risk per trade. In terms of money management, the EA calculates order size based on stop-loss distance and account risk percentage to avoid excessive leverage. The overall strategy aims to capture large trend moves while keeping trial-and-error costs small, following the classic trend-following philosophy of letting profits run and cutting losses short.
Strengths
- Clear trend-following logic that performs well in strong trending markets
- Stop-loss and trailing stop mechanisms effectively control per-trade risk
- Highly configurable parameters allow optimization for different market conditions
- Multi-indicator confluence for entry signals reduces false signal interference
- Supports multiple timeframes, accommodating different trading styles
Weaknesses
- Prone to frequent false signals and consecutive losses in ranging/choppy markets
- Trend-following strategies inherently have low win rates, requiring strong psychological endurance
- Lacks adaptive mechanisms; parameters may become unsuitable when market regime changes
- Fixed stop-loss and take-profit do not account for dynamic changes in market volatility
- No trading session filter, potentially leading to unfavorable fills during low-liquidity periods
Possible improvements
- Add market regime detection to automatically pause trading or switch strategies during ranging conditions
- Introduce ATR-based dynamic stop-loss and take-profit for adaptive exit levels based on market volatility
- Implement trading session and news event filters to avoid trading during low-liquidity periods and major data releases
Risk assessment
Overall risk: Medium
- Fixed stop-loss may be frequently triggered in high-volatility markets, leading to consecutive losses
- Lacks account-level overall risk control; simultaneous signal triggers could lead to overexposure
- No special handling for extreme market conditions such as gap events; stop-loss may not execute at intended price
Evaluation scores
Parameters
| Parameter | Default | Description |
|---|---|---|
LotSize | 0.1 | Fixed trading lot size |
StopLoss | 500 | Stop loss in points |
TakeProfit | 1000 | Take profit in points |
TrailingStop | 300 | Trailing stop in points |
MagicNumber | 12345 | EA magic number for identifying this EA's orders |
Timeframe | H1 | Trading timeframe |
FastMA_Period | 10 | Fast MA period |
SlowMA_Period | 50 | Slow MA period |
RSI_Period | 14 | RSI indicator period |
MaxSlippage | 3 | Maximum allowed slippage |
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Backtests are historical simulations and do not guarantee future results. Not financial advice.