Class: BudaApi::AI::AnomalyDetector
- Inherits:
-
Object
- Object
- BudaApi::AI::AnomalyDetector
- Defined in:
- lib/buda_api/ai/anomaly_detector.rb
Overview
AI-powered anomaly detection for trading patterns and market behavior
Constant Summary collapse
- ANOMALY_TYPES =
{ price_spike: { severity: :high, description: "Unusual price movement detected", threshold: 15.0 # 15% price change }, volume_anomaly: { severity: :medium, description: "Abnormal trading volume", threshold: 3.0 # 3x average volume }, spread_anomaly: { severity: :medium, description: "Unusual bid-ask spread", threshold: 2.0 # 2x normal spread }, trading_pattern: { severity: :low, description: "Unusual trading pattern detected", threshold: 1.5 # 1.5x normal pattern deviation }, market_correlation: { severity: :medium, description: "Abnormal market correlation", threshold: 0.7 # Correlation coefficient threshold }, whale_activity: { severity: :high, description: "Large order activity detected", threshold: 10.0 # 10x average order size } }.freeze
Instance Method Summary collapse
-
#analyze_historical_anomalies(market_id, lookback_hours = 24) ⇒ Hash
Analyze historical data for patterns and anomalies.
-
#detect_market_anomalies(options = {}) ⇒ Hash
Detect real-time anomalies across all markets.
-
#initialize(client, llm_provider: :openai) ⇒ AnomalyDetector
constructor
A new instance of AnomalyDetector.
-
#monitor_market_realtime(market_id, duration = 3600, &callback) ⇒ Hash
Monitor specific market for anomalies in real-time.
-
#setup_anomaly_alerts(alert_config = {}) ⇒ Hash
Set up automated alerts for specific anomaly types.
Constructor Details
#initialize(client, llm_provider: :openai) ⇒ AnomalyDetector
Returns a new instance of AnomalyDetector.
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# File 'lib/buda_api/ai/anomaly_detector.rb', line 40 def initialize(client, llm_provider: :openai) @client = client @llm = RubyLLM.new( provider: llm_provider, system_prompt: build_anomaly_system_prompt ) @historical_data = {} BudaApi::Logger.info("Anomaly Detector initialized") end |
Instance Method Details
#analyze_historical_anomalies(market_id, lookback_hours = 24) ⇒ Hash
Analyze historical data for patterns and anomalies
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# File 'lib/buda_api/ai/anomaly_detector.rb', line 173 def analyze_historical_anomalies(market_id, lookback_hours = 24) BudaApi::Logger.info("Analyzing historical anomalies for #{market_id} (#{lookback_hours}h lookback)") begin # Get historical ticker data (simulated - Buda API might not provide full historical data) historical_data = fetch_historical_data(market_id, lookback_hours) if historical_data.empty? return { type: :historical_analysis, market_id: market_id, message: "Insufficient historical data for analysis", timestamp: Time.now } end # Detect various anomaly patterns anomalies = [] # Price spike detection price_anomalies = detect_price_spikes(historical_data) anomalies.concat(price_anomalies) # Volume pattern analysis volume_anomalies = detect_volume_anomalies(historical_data) anomalies.concat(volume_anomalies) # Trend anomalies trend_anomalies = detect_trend_anomalies(historical_data) anomalies.concat(trend_anomalies) # Statistical analysis statistical_anomalies = detect_statistical_anomalies(historical_data) anomalies.concat(statistical_anomalies) { type: :historical_analysis, market_id: market_id, lookback_hours: lookback_hours, data_points: historical_data.length, anomalies_found: anomalies.length, anomalies: anomalies.sort_by { |a| a[:severity_score] }.reverse, summary: generate_historical_summary(anomalies), timestamp: Time.now } rescue => e error_msg = "Historical anomaly analysis failed: #{e.message}" BudaApi::Logger.error(error_msg) { type: :historical_analysis_error, error: error_msg, timestamp: Time.now } end end |
#detect_market_anomalies(options = {}) ⇒ Hash
Detect real-time anomalies across all markets
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# File 'lib/buda_api/ai/anomaly_detector.rb', line 58 def detect_market_anomalies( = {}) markets = [:markets] || BudaApi::Constants::Market::MAJOR anomaly_types = [:anomaly_types] || ANOMALY_TYPES.keys include_ai = [:include_ai_analysis] != false BudaApi::Logger.info("Detecting market anomalies across #{markets.length} markets") begin anomalies = [] market_data = {} # Analyze each market markets.each do |market_id| market_analysis = analyze_market_for_anomalies(market_id, anomaly_types) market_data[market_id] = market_analysis[:data] if market_analysis[:anomalies].any? anomalies.concat(market_analysis[:anomalies]) end end # Cross-market anomaly detection cross_market_anomalies = detect_cross_market_anomalies(market_data) anomalies.concat(cross_market_anomalies) # Sort by severity anomalies.sort_by! { |anomaly| anomaly[:severity_score] }.reverse! result = { type: :anomaly_detection, timestamp: Time.now, markets_analyzed: markets.length, anomalies_detected: anomalies.length, anomalies: anomalies, market_data: market_data, severity_summary: calculate_severity_summary(anomalies), recommendations: generate_anomaly_recommendations(anomalies) } # Add AI analysis if requested if include_ai && anomalies.any? result[:ai_analysis] = generate_ai_anomaly_analysis(result) end result rescue => e error_msg = "Anomaly detection failed: #{e.message}" BudaApi::Logger.error(error_msg) { type: :anomaly_detection_error, error: error_msg, timestamp: Time.now } end end |
#monitor_market_realtime(market_id, duration = 3600, &callback) ⇒ Hash
Monitor specific market for anomalies in real-time
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# File 'lib/buda_api/ai/anomaly_detector.rb', line 122 def monitor_market_realtime(market_id, duration = 3600, &callback) BudaApi::Logger.info("Starting real-time monitoring of #{market_id} for #{duration} seconds") start_time = Time.now anomalies_detected = [] monitoring_active = true # Background monitoring thread monitoring_thread = Thread.new do while monitoring_active && (Time.now - start_time) < duration begin anomalies = detect_single_market_anomalies(market_id) anomalies.each do |anomaly| anomalies_detected << anomaly callback&.call(anomaly) # Log significant anomalies if anomaly[:severity_score] >= 7.0 BudaApi::Logger.warn("High severity anomaly detected in #{market_id}: #{anomaly[:type]}") end end # Check every 30 seconds sleep(30) rescue => e BudaApi::Logger.error("Real-time monitoring error: #{e.message}") sleep(60) # Wait longer on error end end end # Return monitoring control object { type: :realtime_monitoring, market_id: market_id, start_time: start_time, duration: duration, thread: monitoring_thread, anomalies_detected: anomalies_detected, stop: -> { monitoring_active = false; monitoring_thread.join }, status: -> { monitoring_active ? :active : :stopped } } end |
#setup_anomaly_alerts(alert_config = {}) ⇒ Hash
Set up automated alerts for specific anomaly types
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# File 'lib/buda_api/ai/anomaly_detector.rb', line 235 def setup_anomaly_alerts(alert_config = {}) default_config = { markets: BudaApi::Constants::Market::MAJOR, anomaly_types: [:price_spike, :volume_anomaly, :whale_activity], severity_threshold: 6.0, notification_methods: [:log, :callback], check_interval: 60 # seconds } config = default_config.merge(alert_config) BudaApi::Logger.info("Setting up anomaly alerts with config: #{config}") { type: :alert_system, config: config, status: :configured, start_monitoring: -> { start_alert_monitoring(config) }, timestamp: Time.now } end |