Paper trader now tracks individual equity history per strategy
(strategy_equity dict with deque per strategy). Metrics file
exports per-strategy data for dashboard rendering.
Dashboard paper chart upgraded to 7 overlaid area series:
- Each strategy gets its own colored curve (green, blue, purple, etc.)
- 300px height for better visibility of multiple lines
- Color palette distinguishes strategies at a glance
$100K total capital: $10K per strategy × 7 + $30K reserve.
Exeria Charts evaluated: excellent library (Benzinga award winner,
Canvas/WebGL, exchange connectors) but requires npm+bundler —
not suitable for single-file dashboard. Lightweight-charts
remains the right choice for our architecture.
Tab IDs now match JavaScript: tab-backtest instead of tab-bt.
Paper trading increased to $100,000 ($10K per strategy, $30K reserve).
Server default paper metrics updated to $100K.
New paper trading engine (live/paper_trader.py):
- Pulls real mainnet prices, orderbooks, funding rates every 2s
- Runs all 7 strategies in simulation without placing orders
- Simulates fills at market with realistic taker fees (0.05%) and slip (1bp)
- Avellaneda-Stoikov: simulates spread capture with 15%/tick fill probability
- Tracks virtual positions and PnL per strategy
- $5,000 capital ($1,000 per strategy, $1,000 reserve)
- Writes to /tmp/ftdt-paper-metrics.json
Dashboard updated with 3 tabs:
- Live Trading (Testnet) — real orders on testnet
- Paper Trading (Mainnet) — simulated fills on real mainnet data
- Backtesting — 30-day simulated results
Server.py: added /ws/paper WebSocket endpoint, paper_clients set,
paper metrics reader and broadcast loop.
ramseshk