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Mercury TA - Technical Analysis Service

Status 🚀

  • ✅ Core API infrastructure
  • ✅ Technical indicators implementation
  • ✅ Schema synchronization with Mercury Bot
  • ✅ Field name standardization
  • ✅ Null value handling
  • ✅ Test coverage
  • ✅ Enhanced error handling
  • ✅ Improved HTTP integration
  • ✅ Advanced market evaluation
  • ✅ Batch processing support

Recent Updates

Technical Improvements (v0.124.0)

  1. Enhanced Error Handling:

    • Improved validation error handling
    • Better error messages for debugging
    • Graceful fallback in test environments
  2. HTTP Integration:

    • Optimized client connections
    • Better request retry logic
    • Enhanced response caching
  3. Market Evaluation:

    • Support for all major indicators
    • Improved data quality checks
    • Better handling of missing data
  4. Batch Processing:

    • Concurrent indicator calculations
    • Optimized memory usage
    • Improved performance for large datasets

API Response Schema Standardization

All technical indicators now follow consistent field naming:

  1. RSI:

    • rsi: Main RSI value
    • overbought: Overbought condition
    • oversold: Oversold condition
  2. MACD:

    • macd: Main MACD line
    • macd_signal: Signal line
    • macd_hist: Histogram
    • macd_trend_confirm: Trend confirmation
  3. Bollinger Bands:

    • bb_high: Upper band
    • bb_mid: Middle band
    • bb_low: Lower band
    • near_upper_band: Price near upper band
    • near_lower_band: Price near lower band
  4. Ichimoku Cloud:

    • tenkan_sen: Conversion line
    • kijun_sen: Base line
    • senkou_span_a: Leading span A
    • senkou_span_b: Leading span B
    • chikou_span: Lagging span
    • cloud_direction: Cloud trend direction
    • cloud_strength: Cloud strength indicator
    • cloud_breakout: Cloud breakout signal
    • price_rel_cloud: Price position relative to cloud
  5. OBV:

    • value: OBV value
    • direction: Trend direction
    • trend_strength: Trend strength
    • change_percent: Change percentage

Implemented Indicators

Trend Indicators

IndicatorDescriptionStatus
EMA (Exponential Moving Average)Multiple timeframe support with distance calculations
ADX (Average Directional Index)Trend strength measurement with dynamic interpretation
Ichimoku CloudComplete cloud system with breakout detection

Momentum Indicators

IndicatorDescriptionStatus
RSI (Relative Strength Index)Overbought/Oversold detection🏗️
MACDTrend-following with signal line crossovers

NEXT_TASK: Complete RSI indicator implementation with overbought/oversold detection, divergence analysis, and multi-timeframe support

Volatility Indicators

IndicatorDescriptionStatus
ATR (Average True Range)Volatility measurement with dynamic stop-loss
Bollinger BandsStandard deviation based bands

Volume Indicators

IndicatorDescriptionStatus
OBV (On-Balance Volume)Volume trend confirmation

Core Infrastructure

API Layer

  • FastAPI framework with async support
  • Swagger documentation
  • Rate limiting and caching
  • Error handling and validation

Data Management

  • Real-time data fetching
  • Historical data caching
  • Multiple timeframe support
  • Exchange API integration

Performance Optimization

  • Vectorized calculations
  • Parallel processing
  • Memory optimization
  • Response time improvements

Planned Features

Phase 1 - Pattern Recognition 📊

  • Candlestick patterns
  • Chart patterns
  • Support/resistance zones

Phase 2 - Machine Learning 🤖

  • Pattern validation
  • Signal strength assessment
  • False signal filtering

Phase 3 - Advanced Analytics 📈

  • Market regime detection
  • Volatility forecasting
  • Correlation analysis

Development Guidelines

Code Quality

  • Comprehensive unit tests
  • Integration testing
  • Performance benchmarks
  • Code documentation

API Documentation

  • Interactive Swagger UI
  • ReDoc documentation
  • Example requests/responses
  • Error handling guide

Performance Standards

  • Response time < 100ms
  • 99.9% uptime
  • Rate limiting
  • Cache optimization