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docs: update README and runbook for broker-synced reset, confidence dampener, paper account workflow

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Celes Renata
2026-04-17 04:32:49 +00:00
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README.md
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@@ -75,7 +75,7 @@ Seed data: `python -m services.symbol_registry.seed`
## Features
### Autonomous Trading Engine
Continuous decision loop that polls for actionable recommendations and executes paper trades without manual intervention. Includes confidence-based position sizing, dynamic stop-loss/take-profit (ATR-based), circuit breakers (daily loss cap, single-position loss, volatility detection), reserve pool management (auto-siphon from profits), risk tier auto-adjustment (conservative/moderate/aggressive based on trailing performance), portfolio rebalancing (sector and concentration limits), gradual entry (multi-tranche orders), correlation-aware diversification, earnings calendar awareness, portfolio heat management, tax-lot tracking with wash sale detection, performance tracking (Sharpe, drawdown, win rate, profit factor), and backtesting against historical data.
Continuous decision loop that polls for actionable recommendations and executes paper trades without manual intervention. Includes confidence-based position sizing (with sample-size-dampened agreement scoring to prevent thin-evidence inflation), dynamic stop-loss/take-profit (ATR-based), circuit breakers (daily loss cap, single-position loss, volatility detection), reserve pool management (auto-siphon from profits), risk tier auto-adjustment (conservative/moderate/aggressive based on trailing performance), portfolio rebalancing (sector and concentration limits), gradual entry (multi-tranche orders), correlation-aware diversification, earnings calendar awareness, portfolio heat management, tax-lot tracking with wash sale detection, performance tracking (Sharpe, drawdown, win rate, profit factor), and backtesting against historical data.
### Global News Interpolation
Macro/geopolitical event ingestion from dedicated sources. Ollama-based classification by impact type, severity, affected regions, and sectors. Company exposure profiles (geographic revenue mix, supply chain regions, commodity dependencies, market position tier) map events to per-company macro impact scores with resilience modifiers. Forward-looking trend projections combine company momentum with macro trajectories.
@@ -104,7 +104,8 @@ Historical pattern mining on the platform's own data — how similar catalyst ty
- Forward-looking trend projections with driving factor explanations
### Paper Trading
- $100k paper capital via Alpaca integration
- Alpaca paper trading integration (3 accounts max per Alpaca owner)
- Full reset: liquidates broker positions, cancels orders, syncs capital from broker balance
- Moderate risk tier default, auto-adjustable
- Full execution audit trail from signal to broker response
- Operator approval workflow available for live mode