Organization: - Created docs/ with setup/, guides/, history/ subdirectories - Created workflows/ with trading/, analytics/, telegram/, archive/ subdirectories - Created scripts/ with docker/, setup/, testing/ subdirectories - Created tests/ for TypeScript test files - Created archive/ for unused reference files Moved files: - 17 documentation files → docs/ - 16 workflow JSON files → workflows/ - 10 shell scripts → scripts/ - 4 test files → tests/ - 5 unused files → archive/ Updated: - README.md with new file structure and documentation paths Deleted: - data/ (empty directory) - screenshots/ (empty directory) Critical files remain in root: - telegram_command_bot.py (active bot - used by Dockerfile) - watch-restart.sh (systemd service dependency) - All Dockerfiles and docker-compose files - All environment files Validation: Containers running (trading-bot-v4, telegram-trade-bot, postgres) API responding (positions endpoint tested) Telegram bot functional (/status command tested) All critical files present in root No code changes - purely organizational. System continues running without interruption. Recovery: git revert HEAD or git reset --hard cleanup-before
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3.6 KiB
Exit Orders Test Results ✅
Test Details
- Date: October 26, 2025
- Position Size: $10 base × 5x leverage = $50 notional
- Symbol: SOL-PERP
- Direction: LONG
- Entry Price: $197.4950
Results: SUCCESS ✅
Transaction Signatures
Entry Order:
2Bio8oUhhNXkYxY9g5RsR3KUpb3mCX3ZWrQoqFTZ9DQY7rq5w7reCwu8qyHEq1cZdBK5TRo7n9qhC9nj7HtUvWKG
TP1 Order (75% at +0.5%):
4G8rXJ5vhLZAhNaNJ46qwbDoMEhxab7kTibaQtrBHuSkzmd6FPtLyELbt7Lc8CpTLMtN1ut9sjz9F9o1FhRhgzLU
Target: $198.4825
View on Solscan
TP2 Order (100% at +2.5%):
5Zo56K8ZLkz3uEVVuQUakZQ3uMCQSXrkWG1EwtxSZVQB2pxQwKp2gbPUGEDyPZobyBv4TYMEBGf5kBpLWfCPYMEr
Target: $202.4324
View on Solscan
Stop Loss Order (at -0.9%):
5U9ZxYFyD99j8MXcthqqjy6DjACqedEWfidWsCb69RtQfSe7iBYvRWrFJVJ5PGe2nJYtvRrMo2szuDCD8ztBrebs
Target: $195.7175
View on Solscan
Verification
Check on Drift UI
Visit https://app.drift.trade/ and connect with wallet:
3dG7wayp7b9NBMo92D2qL2sy1curSC4TTmskFpaGDrtA
You should see:
- Active SOL-PERP position (~0.2532 SOL)
- Three open orders (TP1, TP2, SL) showing as "Limit" orders with "Reduce Only" flag
- Orders should be visible in the "Orders" tab
Implementation Details
What Changed
- lib/drift/orders.ts: Added
placeExitOrders()function that creates reduce-only LIMIT orders - app/api/trading/execute/route.ts: Calls
placeExitOrders()after opening position - config/trading.ts: Added
takeProfit1SizePercentandtakeProfit2SizePercentconfig fields
Order Types Used
- Entry: Market order (immediate execution)
- Exit orders: Reduce-only LIMIT orders
- Reduce-only = can only close position, not increase it
- LIMIT = visible in order book, executes when price reached
- Alternative: Trigger-market orders (more guaranteed execution but may slip)
Position Manager
The bot still runs the position manager which:
- Monitors price in real-time via Pyth
- Will also close positions via market orders when targets hit
- Acts as a backup/fallback if LIMIT orders don't fill
Risk Assessment
✅ Safe for production with following considerations:
- LIMIT order risk: May not fill if market gaps past price (e.g., flash crash through stop loss)
- Solution: Position manager provides backup via market orders
- Recommendation: For more safety-critical stops, consider implementing trigger-market orders
Next Steps (Optional Enhancements)
- Add trigger-market for SL: More guaranteed execution on stop loss
- Order cancellation: Cancel old orders when position closes manually
- Multiple timeframes: Support different TP/SL per timeframe
- Dynamic sizing: Adjust TP sizes based on signal strength
Test Command
cd /home/icke/traderv4
./test-exit-orders.sh
Monitoring
# Check logs
docker logs trading-bot-v4 -f
# Check position manager status
curl http://localhost:3001/api/status
Status: TESTED AND WORKING ✅
The implementation successfully places on-chain TP/SL orders that are visible in the Drift UI. All three exit orders were placed successfully in the live test with real funds.