* feat: add AI grid trading and market regime classification
- Add GridTrader interface with PlaceLimitOrder, CancelOrder, GetOrderBook
- Implement GridTrader for all exchanges (Binance, Bybit, OKX, Bitget, Hyperliquid, Aster, Lighter)
- Add grid engine with ATR-based boundary calculation and fund distribution
- Add market regime classification documents (Chinese/English)
- Add GridConfigEditor component for frontend configuration
* fix: implement GetOpenOrders for Lighter exchange
* debug: add logging for Lighter GetActiveOrders API call
* fix: correct Lighter API response parsing for GetOpenOrders
- Changed response field from 'data' to 'orders' to match Lighter API
- Updated OrderResponse struct to match Lighter's actual field names
- Fixed field types: price/quantity as strings, is_ask for side
* feat: implement GetOpenOrders for Aster, OKX, Bitget exchanges
- Aster: uses /fapi/v3/openOrders endpoint
- OKX: uses /api/v5/trade/orders-pending and orders-algo-pending
- Bitget: uses /api/v2/mix/order/orders-pending and orders-plan-pending
* fix: address code review issues for GetOpenOrders
- Add error logging for OKX/Bitget API failures (was silently swallowed)
- Fix Lighter position side logic to handle reduce-only orders
- Change verbose debug logs from Infof to Debugf level
* fix: provide FromAccountIndex and ApiKeyIndex for Lighter nonce auto-fetch
Root cause: SDK requires these fields to fetch nonce from API, otherwise nonce gets cached/stuck
* fix: use auth query parameter instead of Authorization header for Lighter API
* test: add Lighter API authentication tests and diagnostic tools
* fix(grid): add leverage setting before order placement
CRITICAL BUG FIX:
- Call SetLeverage() in GridTraderAdapter.PlaceLimitOrder()
- Set leverage during grid initialization
- Log leverage setting results
* fix(grid): prevent CancelOrder from canceling all orders
CRITICAL BUG FIX:
- CancelOrder no longer calls CancelAllOrders
- Try exchange-specific CancelOrder if available
- Return error if individual cancellation not supported
* fix(grid): add total position value limit check
CRITICAL: Prevent excessive position accumulation
- New checkTotalPositionLimit() function
- Checks current + pending + new order value
- Rejects orders that would exceed TotalInvestment x Leverage
- Logs clear error messages when limit exceeded
* feat(grid): implement stop loss execution
CRITICAL: Add code-level stop loss protection
- New checkAndExecuteStopLoss() function
- Checks each filled level against StopLossPct
- Automatically closes positions exceeding stop loss
- Called during every grid state sync
* feat(grid): add breakout detection and auto-pause
CRITICAL: Detect price breakout from grid range
- New checkBreakout() function to detect upper/lower breakouts
- Auto-pause grid on significant breakout (>2%)
- Cancel all orders when breakout detected
- Prevent continued losses in trending market
- Minor breakouts (1-2%) logged for AI consideration
* feat(grid): enforce max drawdown limit with emergency exit
CRITICAL: Add drawdown protection
- New checkMaxDrawdown() function tracks peak equity
- emergencyExit() closes all positions and cancels orders
- Auto-pause grid when MaxDrawdownPct exceeded
- Protect capital from excessive losses
* feat(grid): enforce daily loss limit
- Add checkDailyLossLimit() function to check if daily loss exceeds limit
- Track daily PnL with auto-reset at midnight
- Pause grid when DailyLossLimitPct exceeded
- Add updateDailyPnL() helper for realized PnL tracking
- Prevent excessive single-day losses
* fix(grid): update daily PnL when stop loss is executed
The updateDailyPnL() function was added but never called, leaving
DailyPnL always at 0 and preventing daily loss limit checks from
triggering.
This fix updates DailyPnL and TotalProfit directly in checkAndExecuteStopLoss()
when a stop loss is executed. We update directly rather than calling
updateDailyPnL() because the mutex is already held in that function.
* feat(grid): add automatic grid adjustment
- New checkGridSkew() detects imbalanced grid
- autoAdjustGrid() reinitializes around current price
- Prevents grid from becoming ineffective after drift
- Triggers when one side is 3x more filled than other
* fix(grid): recalculate bounds in autoAdjustGrid before reinitializing levels
Critical fix for grid auto-adjustment:
- Recalculate grid bounds (UpperPrice, LowerPrice, GridSpacing) centered
on current price before reinitializing grid levels
- Preserve filled positions during adjustment by saving and restoring
them to the closest new level after reinitialization
- Hold mutex lock for the entire adjustment operation to ensure atomicity
- Add locked variants of calculateDefaultBounds, calculateATRBounds, and
initializeGridLevels to use during adjustment
Without this fix, autoAdjustGrid was using old boundaries when creating
new grid levels, defeating the purpose of auto-adjustment when price
moved significantly.
* fix(grid): improve order state sync logic
- Don't assume missing orders are filled
- Compare position size to determine fill vs cancel
- Properly reset cancelled orders to empty state
- More accurate grid state tracking
* fix(grid): use actual PositionSize sum instead of count in syncGridState heuristic
The position-based heuristic was using `float64(previousFilledCount) * level.OrderQuantity`
which incorrectly assumed uniform order quantities. Since the grid uses weighted distribution
(gaussian, pyramid, uniform) where orders have different quantities, this could lead to
incorrect fill detection.
Now sums the actual PositionSize from filled levels for accurate comparison.
Also adds warning log when GetPositions() fails.
* docs: add grid market regime detection design
Design for enhanced market state recognition with:
- Multi-dimensional indicators (ATR, Bollinger, EMA, MACD, RSI)
- Multi-period box indicators (72/240/500 1h candles)
- 4-level ranging classification
- Breakout detection and handling
- Frontend risk control panel
* docs: add grid market regime implementation plan
20 tasks covering:
- Donchian channel calculation
- Box data types and API
- Regime classification (4 levels)
- Breakout detection and handling
- False breakout recovery
- Frontend risk panel
- AI prompt updates
* feat(market): add Donchian channel calculation
Add calculateDonchian function to compute highest high and lowest low
over a specified period. This is the foundation for box (range) detection
in the multi-period box indicator system for grid trading.
* fix(market): handle invalid period in calculateDonchian
* feat(market): add BoxData and RegimeLevel types
* feat(market): add GetBoxData for multi-period box calculation
Adds calculateBoxData internal function and GetBoxData public API that
fetches 1h klines and computes three Donchian box levels (short/mid/long).
This will be used by the grid trading system to detect market regime.
* feat(store): add box and regime fields to grid models
* feat(trader): add regime classification and breakout detection
Implements Tasks 6-9 for grid market regime awareness:
- Task 6: classifyRegimeLevel with Bollinger/ATR thresholds
- Task 7: detectBoxBreakout for multi-period box breakouts
- Task 8: confirmBreakout with 3-candle confirmation logic
- Task 9: getBreakoutAction mapping breakout levels to actions
* feat(trader): integrate box breakout detection into grid cycle
- Task 10: Add checkBoxBreakout with 3-candle confirmation
- Task 11: Add checkFalseBreakoutRecovery for 50% position recovery
- Task 12: Add box/breakout/regime fields to GridState
* feat: add grid risk panel with API endpoint
- Task 13: Add GridRiskInfo type to frontend
- Task 14: Add /traders/:id/grid-risk API endpoint
- Task 15: Add GetGridRiskInfo method to AutoTrader
- Task 16: Create GridRiskPanel component with i18n
* feat(kernel): add box indicators to AI prompt
- Add BoxData field to GridContext
- Add box indicator table to both zh/en prompts
- Show breakout/warning alerts based on price position
* feat(web): integrate GridRiskPanel into TraderDashboardPage
* feat(lighter): improve API key validation and market caching
- Add API key validation status tracking
- Add market list caching to reduce API calls
- Improve logging (debug vs info levels)
- Add comprehensive integration tests
- Update trader manager and store for lighter support
* fix: remove hardcoded test wallet address
* fix(grid): improve GridRiskPanel layout and fix liquidation data
- Make panel collapsible with summary badges when collapsed
- Use compact 2-column grid layout for detailed info
- Fix auth token key (token -> auth_token)
- Only calculate liquidation distance when position exists
* fix(grid): add isRunning checks to prevent trades after Stop() is called
- Fix xyz dex balance calculation (use marginSummary for isolated margin)
- Add Alpaca provider for US stocks market data
- Add TwelveData provider for forex & metals market data
- Add Hyperliquid kline provider
- Centralize API keys in config system
- Add builder fee for order routing
- Improve chart UI with compact design
- Fix position history fee display precision
- Add comprehensive balance calculation tests
- Switch to coinank free/open kline API (no authentication required)
- Add exchange badge display with brand colors (Binance/Bybit/OKX/Hyperliquid/Aster)
- Auto-convert OKX symbol format (BTCUSDT -> BTC-USDT-SWAP)
- Fallback to Binance data for unsupported exchanges (Bitget/Lighter)
- Pass exchange prop from trader account to chart component
- Add BOLL to frontend indicator grid with period selection
- Add BOLL calculation (upper/middle/lower bands) in market data
- Add BOLL fields to TimeframeSeriesData struct
- Integrate BOLL into AI decision engine prompts
- Support multi-timeframe BOLL analysis
- Add KlineBar struct with full OHLCV data and timestamp
- Store complete kline data in TimeframeSeriesData.Klines
- Format klines as readable table with Time, Open, High, Low, Close, Volume
- Mark current (latest) bar for clarity
- Use kline count from strategy config instead of hardcoded 10
- Keep MidPrices/Volume for backward compatibility
- Update both market/data.go and decision/strategy_engine.go formatters
* feat: add Strategy Studio with multi-timeframe support
- Add Strategy Studio page with three-column layout for strategy management
- Support multi-timeframe K-line data selection (5m, 15m, 1h, 4h, etc.)
- Add GetWithTimeframes() function in market package for fetching multiple timeframes
- Add TimeframeSeriesData struct for storing per-timeframe technical indicators
- Update formatMarketData() to display all selected timeframes in AI prompt
- Add strategy API endpoints for CRUD operations and test run
- Integrate real AI test runs with configured AI models
- Support custom AI500 and OI Top API URLs from strategy config
* docs: add Strategy Studio screenshot to README files
* fix: correct strategy-studio.png filename case in README
* refactor: remove legacy signal source config and simplify trader creation
- Remove signal source configuration from traders page (now handled by strategy)
- Remove advanced options (legacy config) from TraderConfigModal
- Rename default strategy to "默认山寨策略" with AI500 coin pool URL
- Delete SignalSourceModal and SignalSourceWarning components
- Clean up related stores, hooks, and page components
* refactor: 简化交易动作，移除 update_stop_loss/update_take_profit/partial_close
- 移除 Decision 结构体中的 NewStopLoss, NewTakeProfit, ClosePercentage 字段
- 删除 executeUpdateStopLossWithRecord, executeUpdateTakeProfitWithRecord, executePartialCloseWithRecord 函数
- 简化 logger 中的 partial_close 聚合逻辑
- 更新 AI prompt 和验证逻辑，只保留 6 个核心动作
- 清理相关测试代码
保留的交易动作: open_long, open_short, close_long, close_short, hold, wait
* refactor: 移除 AI学习与反思 模块
- 删除前端 AILearning.tsx 组件和相关引用
- 删除后端 /performance API 接口
- 删除 logger 中 AnalyzePerformance、calculateSharpeRatio 等函数
- 删除 PerformanceAnalysis、TradeOutcome、SymbolPerformance 等结构体
- 删除 Context 中的 Performance 字段
- 移除 AI prompt 中夏普比率自我进化相关内容
- 清理 i18n 翻译文件中的相关条目
该模块基于磁盘存储计算，经常出错，做减法移除
* refactor: 将数据库操作统一迁移到 store 包
- 新增 store/ 包，统一管理所有数据库操作
- store.go: 主 Store 结构，懒加载各子模块
- user.go, ai_model.go, exchange.go, trader.go 等子模块
- 支持加密/解密函数注入 (SetCryptoFuncs)
- 更新 main.go 使用 store.New() 替代 config.NewDatabase()
- 更新 api/server.go 使用 *store.Store 替代 *config.Database
- 更新 manager/trader_manager.go:
- 新增 LoadTradersFromStore, LoadUserTradersFromStore 方法
- 删除旧版 LoadUserTraders, LoadTraderByID, loadSingleTrader 等方法
- 移除 nofx/config 依赖
- 删除 config/database.go 和 config/database_test.go
- 更新 api/server_test.go 使用 store.Trader 类型
- 清理 logger/ 包中未使用的 telegram 相关代码
* refactor: unify encryption key management via .env
- Remove redundant EncryptionManager and SecureStorage
- Simplify CryptoService to load keys from environment variables only
- RSA_PRIVATE_KEY: RSA private key for client-server encryption
- DATA_ENCRYPTION_KEY: AES-256 key for database encryption
- JWT_SECRET: JWT signing key for authentication
- Update start.sh to auto-generate missing keys on first run
- Remove secrets/ directory and file-based key storage
- Delete obsolete encryption setup scripts
- Update .env.example with all required keys
* refactor: unify logger usage across mcp package
- Add MCPLogger adapter in logger package to implement mcp.Logger interface
- Update mcp/config.go to use global logger by default
- Remove redundant defaultLogger from mcp/logger.go
- Keep noopLogger for testing purposes
* chore: remove leftover test RSA key file
* chore: remove unused bootstrap package
* refactor: unify logging to use logger package instead of fmt/log
- Replace all fmt.Print/log.Print calls with logger package
- Add auto-initialization in logger package init() for test compatibility
- Update main.go to initialize logger at startup
- Migrate all packages: api, backtest, config, decision, manager, market, store, trader
* refactor: rename database file from config.db to data.db
- Update main.go, start.sh, docker-compose.yml
- Update migration script and documentation
- Update .gitignore and translations
* fix: add RSA_PRIVATE_KEY to docker-compose environment
* fix: add registration_enabled to /api/config response
* fix: Fix navigation between login and register pages
Use window.location.href instead of react-router's navigate() to fix
the issue where URL changes but the page doesn't reload due to App.tsx
using custom route state management.
* fix: Switch SQLite from WAL to DELETE mode for Docker compatibility
WAL mode causes data sync issues with Docker bind mounts on macOS due
to incompatible file locking mechanisms between the container and host.
DELETE mode (traditional journaling) ensures data is written directly
to the main database file.
* refactor: Remove default user from database initialization
The default user was a legacy placeholder that is no longer needed now
that proper user registration is in place.
* feat: Add order tracking system with centralized status sync
- Add trader_orders table for tracking all order lifecycle
- Implement GetOrderStatus interface for all exchanges (Binance, Bybit, Hyperliquid, Aster, Lighter)
- Create OrderSyncManager for centralized order status polling
- Add trading statistics (Sharpe ratio, win rate, profit factor) to AI context
- Include recent completed orders in AI decision input
- Remove per-order goroutine polling in favor of global sync manager
* feat: Add TradingView K-line chart to dashboard
- Create TradingViewChart component with exchange/symbol selectors
- Support Binance, Bybit, OKX, Coinbase, Kraken, KuCoin exchanges
- Add popular symbols quick selection
- Support multiple timeframes (1m to 1W)
- Add fullscreen mode
- Integrate with Dashboard page below equity chart
- Add i18n translations for zh/en
* refactor: Replace separate charts with tabbed ChartTabs component
- Create ChartTabs component with tab switching between equity curve and K-line
- Add embedded mode support for EquityChart and TradingViewChart
- User can now switch between account equity and market chart in same area
* fix: Use ChartTabs in App.tsx and fix embedded mode in EquityChart
- Replace EquityChart with ChartTabs in App.tsx (the actual dashboard renderer)
- Fix EquityChart embedded mode for error and empty data states
- Rename interval state to timeInterval to avoid shadowing window.setInterval
- Add debug logging to ChartTabs component
* feat: Add position tracking system for accurate trade history
- Add trader_positions table to track complete open/close trades
- Add PositionSyncManager to detect manual closes via polling
- Record position on open, update on close with PnL calculation
- Use positions table for trading stats and recent trades (replacing orders table)
- Fix TradingView chart symbol format (add .P suffix for futures)
- Fix DecisionCard wait/hold action color (gray instead of red)
- Auto-append USDT suffix for custom symbol input
* update
---------
* Support 3m volume and ATR4
* test(market): add unit tests for Volume and ATR14 indicators
- Add comprehensive tests for calculateIntradaySeries Volume collection
- Add tests for ATR14 calculation with various data scenarios
- Add edge case tests for insufficient data
- Test Volume value precision and consistency with other indicators
- All 8 test cases pass successfully
Resolves code review blocking issue from PR #830
## Problem
GetCurrentKlines had two critical bugs causing price data to become stale:
1. Incorrect return logic: returned error even when data fetch succeeded
2. Race condition: returned slice reference instead of deep copy, causing concurrent data corruption
## Impact
- BTC price stuck at 106xxx while actual market price was 107xxx+
- LLM calculated take-profit based on stale prices → orders failed validation
- Statistics showed incorrect P&L (0.00%) due to corrupted historical data
- Alt-coins filtered out due to failed market data fetch
## Solution
1. Fixed return logic: only return error when actual failure occurs
2. Return deep copy instead of reference to prevent race conditions
3. Downgrade subscription errors to warnings (non-blocking)
## Test Results
✅ Price updates in real-time
✅ Take-profit orders execute successfully
✅ P&L calculations accurate
✅ Alt-coins now tradeable
Related: Price feed mechanism, concurrent data access
Fixed critical bug where 4h kline data was incorrectly stored with
3m kline data, causing data mismatch.
Changes:
- Changed `m.klineDataMap4h.Store(s, klines)` to `klines4h`
- Updated log message to use `len(klines4h)` instead of `len(klines)`
This bug would cause 4h kline queries to return 3m data, leading to
incorrect technical indicator calculations.
Fixes: #260
Related: #176
Remove deprecated files that don't exist in nofx internal version:
- market/ai_decision_engine.go
- market/ai_signal.go
- market/market_data.go
- scanner/ai_scanner.go
Keep only market/data.go to align with internal version structure.
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Architecture improvements:
- Extract AI decision engine to dedicated `decision` package
- Create `mcp` package for Model Context Protocol client
- Separate market data structures into `market/data.go`
- Update trader to use new modular structure
New packages:
- `decision/engine.go` - AI decision logic and prompt building
- `mcp/client.go` - Unified AI API client (DeepSeek/Qwen)
- `market/data.go` - Market data type definitions
Benefits:
- Better separation of concerns
- Improved code organization and maintainability
- Easier to test individual components
- More flexible AI provider integration
- Cleaner dependency management
Updated imports:
- trader/auto_trader.go now uses decision and mcp packages
- Consistent API across different AI providers
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Major improvements:
- Use period-level Sharpe ratio (range -2 to +2) instead of annualized
- Save full user prompt in decision logs for debugging
- Format complete market data (3m + 4h candles) for AI analysis
- Prevent position stacking with duplicate position checks
- Update Sharpe ratio interpretation thresholds
Market data enhancements:
- Display full technical indicators in user prompt
- Include 3-minute and 4-hour timeframe data
- Add OI (Open Interest) change and funding rate signals
Risk control:
- Block opening duplicate positions (same symbol + direction)
- Suggest close action first before opening new position
- Prevent margin usage from exceeding limits
UI improvements:
- Update multi-language translations
- Refine AI learning dashboard display
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
Problem: When TotalTrades == 0 (no completed trades), formatPerformanceFeedback
would return early, hiding Sharpe ratio and adaptive behavior recommendations
from AI's prompt. This caused AI to say "no historical data" even though Sharpe
ratio was calculated and displayed on frontend.
Solution:
- Display Sharpe ratio BEFORE checking TotalTrades
- Don't return early when TotalTrades == 0
- Always show adaptive behavior recommendations if Sharpe ratio exists
- Sharpe ratio is calculated from account equity changes, not just closed trades
Impact: AI can now properly use Sharpe ratio for self-evolution, even in early
stages before any trades are closed.
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
- Implement Sharpe ratio calculation in decision logger
- Add adaptive behavior recommendations based on Sharpe ratio
- Display Sharpe ratio in AI learning dashboard with visual indicators
- Enable AI to adjust trading strategy based on risk-adjusted returns
- Color-coded performance levels (red/yellow/green) for easy monitoring
Co-Authored-By: tinkle-community <tinklefund@gmail.com>
- Split AI prompts into system (cacheable) and user (dynamic) messages
- Add confidence and risk_usd fields to trading decisions
- Reduce temperature to 0.5 for more stable JSON output
- Add retry mechanism for AI API calls
- Simplify candidate display (show top 10 only)
- Improve prompt structure for better AI decision quality
- Replace regex-based quote fixing with simple character replacement
- Add Twitter/X contact link to all README versions
- Remove complex regex pattern for better performance
- Fix Chinese quote mark handling in AI responses
- Add focused position strategy (max 3 concurrent positions)
- Increase position sizes for better capital efficiency
- Add historical reflection prompts for AI learning
- Fix JSON parsing with missing quotes in reasoning field
- Update position limits and leverage recommendations
- Enhance risk management with concentrated positions
- Frontend trading records and UI enhancements
- Optimized AI prompts and decision engine
- Performance analysis and comparison features
- Binance-style UI improvements
- Multi-AI competition mode (Qwen vs DeepSeek)
- Binance Futures integration
- AI self-learning mechanism
- Professional web dashboard
- Complete risk management system
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