MKL Autopilot

OVERVIEW
MKL Autopilot is a trend-following strategy that uses a smoothed dynamic environment filter and de-noiser to detect directional shifts and then aims for fixed risk-to-reward exits (user-settable) while using a dynamic stop that adapts to price structure.

1. Key ideas / advantages
- Smooths short-term noise with an adaptive range + volatility smoothing algorithm so entries trigger on meaningful directional shifts.
- Reduces False Breakouts: a new direction must reverse briefly away from the de-noiser.
- Dynamic stop-loss placed at the filter band (upper/lower), with take-profit calculated from realized risk using an adjustable R:R ratio.
- Sequential-trade gating prevents immediate same-direction flip-flopping (simple persistence control).
- Designed for clarity and conservative trade management.

2. Signals and execution
- Long Entry
- Short Entry
- Stop-loss: dynamic bandwidth, which will always shrink after asset starts moving the direction of the trade.
- Take-profit: computed as entry ± (riskPips * R:R), where riskPips is derived from entry-to-SL distance and pipValue.

3. User inputs
- Period — smoothing window (default 88).
- Multiplier — multiplies smoothed range volatility width to set band width (default 8.0).
- Risk-to-Reward Ratio — target multiple of risk (default 2.0).
- Visual toggles for fills and colors are provided.

4. Behavioural details
- Uses strategy.percent_of_equity with default_qty_value=100 (trades full equity by default).
- Keeps pyramiding=0 to avoid multiple concurrent entries in same direction.
- Resets entry variables on position close and re-arms retest logic according to prevailing trend.

5. Recommended usage
- Try 3min and 5min for all - forex/crypto/indices/equities - adapt according to the volatility of the asset.
- Backtest across multiple symbols/timeframes and tune Period / Multiplier / R:R to match volatility and your risk tolerance.

6. Limitations & risk
- No 100% guarantee of profit — like all strategies it can produce drawdowns, whipsaw losses during sideways markets, and missed quick reversals.
- Default position sizing is aggressive (100% of equity). Change default_qty_type / default_qty_value before live trading.
- Always forward-test on a paper account and ensure slippage/fees are considered.

Some good assets with their time-frames and settings are mentioned below:

1. ETHUSD (BEST) | US30 | XAUUSD |
- Time Frame = 3min
- Period = 88
- Multiplier = 8.8
- Risk-to-Reward Ratio = 2.5

2. BTCUSD
- Time Frame = 5min
- Period = 188
- Multiplier = 8.8
- Risk-to-Reward Ratio = 3

3. SOLUSDT
- Time Frame = 3min
- Period = 33
- Multiplier = 8.8
- Risk-to-Reward Ratio = 3

5. XAUUSD
- Time Frame = 5min
- Period = 120
- Multiplier = 8.8
- Risk-to-Reward Ratio = 2.5

6. USDJPY
- Time Frame = 15min
- Period = 160
- Multiplier = 2.4
- Risk-to-Reward Ratio = 2

7. NIFTY | BANKNIFTY
- Time Frame = 3min
- Period = 88
- Multiplier = 8.8
- Risk-to-Reward Ratio = 3