Adjusting Pyramided Position Count to Relative ATR Volatility

Summary

This system adjusts its target number of open long trades using normalized ATR as a measure of current volatility relative to its recent average. It divides a 14-period ATR by price, compares that value with its 100-period simple moving average, and uses the inverse of the ratio to derive a target leverage. The target trade count is then set as a multiple of that leverage. When the actual open-trade count falls below target, the strategy adds a long entry; when it exceeds target by more than a stated buffer, it closes the most recently recorded trade.

The accompanying description frames the approach as a way to reduce exposure when volatility rises and increase it when volatility falls, while building positions in trends. It also flags that ATR is backward-looking and that pyramiding can amplify losses during reversals. A BTC/USDT futures backtest configuration is listed, but no measured results are supplied. The text recommends considering stop losses, market-specific parameter choices, and additional checks; the described rules themselves do not include an explicit protective stop or a short-entry condition.

Key ideas

• Normalized ATR is compared with its 100-period average to estimate relative volatility.
• The inverse volatility ratio determines a target leverage and, in turn, a target count of open trades.
• The strategy adds long positions below the target and closes the newest tracked position when exposure exceeds a threshold.
• Pyramiding can build trend exposure but may compound losses during reversals.
• The published backtest setup has no reported performance figures, and the described rules lack an explicit stop loss.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.