القائمة
Tracks the ICT_Killzone_Macro strategy — improved to PF 1.300 but not in active portfolio. Use as a reference for killzone-based experiments.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Tracks the Hidden_Divergence strategy — consistently profitable across all runs. Use when analyzing divergence-based entries or risk allocation.
Historical reference for the TrendPullback strategy — removed from active portfolio in V2.0. Retained as a template for what works in trend following.
Drives the Argus iterative learning loop. After every backtest run, invoke argus_learn.py to score, detect regressions, and generate hypotheses. Update skills/references/ when promoting a change.
Tracks the AVWAP_Confluence strategy — now one of the TOP performers in the portfolio. Use when evaluating strategy strengths or considering AVWAP changes.
Historical reference: SR_Breakout_Retest and Donchian_Breakout previously produced zero trades. This has been resolved in V2.0 — both now generate active signals. Retained as a "don't repeat" reference.
Guidelines for portfolio-level risk management in the Argus backtest system. Covers circuit breakers, correlation handling, position sizing, and market regime detection. Use when modifying engine.py, risk_manager.py, or config.yaml.
| name | strategy-ict-killzone |
| description | Tracks the ICT_Killzone_Macro strategy — improved to PF 1.300 but not in active portfolio. Use as a reference for killzone-based experiments. |
Improved individually to PF 1.300 (+11.60%, DD -4.85%) but removed from portfolio because adding it worsened overall results (PF 1.17 to 0.98).
| Metric | Before (Run 4) | After (Single) |
|---|---|---|
| Net Profit | -$1,815 | +$1,218 (11.60%) |
| Profit Factor | 0.54 | 1.300 |
| Max DD | — | -4.85% |
Changes made:
Despite excellent single-strategy results, adding ICT_Killzone to the 7-strategy portfolio caused PF to drop from 1.17 to 0.98. The strategy likely overlaps with existing session-based entries (London open moves already captured).
Lesson: A strategy that works in isolation may still hurt the portfolio.
