Class: BudaApi::AI::TradingAssistant

Inherits:
Object
  • Object
show all
Defined in:
lib/buda_api/ai/trading_assistant.rb

Overview

AI-powered trading assistant that provides market analysis and trading insights

Instance Method Summary collapse

Constructor Details

#initialize(client, llm_provider: :openai, model: nil) ⇒ TradingAssistant

Returns a new instance of TradingAssistant.



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# File 'lib/buda_api/ai/trading_assistant.rb', line 7

def initialize(client, llm_provider: :openai, model: nil)
  @client = client
  @llm = RubyLLM.new(
    provider: llm_provider,
    model: model || default_model_for_provider(llm_provider)
  )
  
  BudaApi::Logger.info("Trading Assistant initialized with #{llm_provider}")
end

Instance Method Details

#analyze_market(market_id) ⇒ Hash

Analyze market conditions and provide trading insights

Examples:

assistant = BudaApi.trading_assistant(client)
analysis = assistant.analyze_market("BTC-CLP")
puts analysis[:sentiment] # => "bullish", "bearish", or "neutral"

Parameters:

  • market_id (String) —

    market identifier (e.g., "BTC-CLP")

Returns:

  • (Hash) —

    analysis results with sentiment, signals, and recommendations



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# File 'lib/buda_api/ai/trading_assistant.rb', line 25

def analyze_market(market_id)
  BudaApi::Logger.info("Analyzing market #{market_id}")
  
  # Gather comprehensive market data
  ticker = @client.ticker(market_id)
  order_book = @client.order_book(market_id)
  trades = @client.trades(market_id, limit: 50)
  
  # Get historical data for context
  start_time = Time.now - 86400  # 24 hours
  candlesticks = @client.candlestick_report(market_id, start_at: start_time)
  
  prompt = build_market_analysis_prompt(market_id, ticker, order_book, trades, candlesticks)
  
  begin
    analysis = @llm.complete(prompt, max_tokens: 1000)
    parsed_analysis = parse_market_analysis(analysis)
    
    BudaApi::Logger.info("Market analysis completed for #{market_id}")
    parsed_analysis
    
  rescue => e
    BudaApi::Logger.error("Failed to analyze market: #{e.message}")
    {
      error: "Analysis failed: #{e.message}",
      market_id: market_id,
      timestamp: Time.now
    }
  end
end

#get_entry_exit_signals(market_id, action, amount) ⇒ Hash

Get AI-powered insights on optimal entry/exit points

Parameters:

  • market_id (String) —

    market identifier

  • action (String) —

    intended action ("buy" or "sell")

  • amount (Float) —

    intended trade amount

Returns:

  • (Hash) —

    entry/exit recommendations



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# File 'lib/buda_api/ai/trading_assistant.rb', line 100

def get_entry_exit_signals(market_id, action, amount)
  BudaApi::Logger.info("Getting #{action} signals for #{amount} #{market_id}")
  
  # Get current market state
  ticker = @client.ticker(market_id)
  order_book = @client.order_book(market_id)
  
  # Get quotation for the intended trade
  quotation_type = action == "buy" ? "bid_given_size" : "ask_given_size"
  quotation = @client.quotation(market_id, quotation_type, amount)
  
  prompt = build_entry_exit_prompt(market_id, action, amount, ticker, order_book, quotation)
  
  begin
    signals = @llm.complete(prompt, max_tokens: 800)
    parsed_signals = parse_entry_exit_signals(signals)
    
    BudaApi::Logger.info("Entry/exit signals generated for #{market_id}")
    parsed_signals
    
  rescue => e
    BudaApi::Logger.error("Failed to generate signals: #{e.message}")
    {
      error: "Signal generation failed: #{e.message}",
      market_id: market_id,
      action: action,
      timestamp: Time.now
    }
  end
end

#suggest_trading_strategy(market_id, balance, risk_tolerance: 'medium', investment_horizon: 'medium') ⇒ Hash

Suggest trading strategy based on market conditions and user preferences

Parameters:

  • market_id (String) —

    market identifier

  • balance (Models::Balance) —

    current balance information

  • risk_tolerance (String) (defaults to: 'medium') —

    risk level ("low", "medium", "high")

  • investment_horizon (String) (defaults to: 'medium') —

    time horizon ("short", "medium", "long")

Returns:

  • (Hash) —

    strategy recommendations



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# File 'lib/buda_api/ai/trading_assistant.rb', line 63

def suggest_trading_strategy(market_id, balance, risk_tolerance: 'medium', investment_horizon: 'medium')
  BudaApi::Logger.info("Generating trading strategy for #{market_id}")
  
  # Get market analysis first
  market_analysis = analyze_market(market_id)
  
  # Get portfolio context
  portfolio_data = gather_portfolio_data(balance)
  
  prompt = build_strategy_prompt(
    market_id, market_analysis, portfolio_data, 
    risk_tolerance, investment_horizon
  )
  
  begin
    strategy = @llm.complete(prompt, max_tokens: 1200)
    parsed_strategy = parse_strategy_recommendations(strategy)
    
    BudaApi::Logger.info("Trading strategy generated for #{market_id}")
    parsed_strategy
    
  rescue => e
    BudaApi::Logger.error("Failed to generate strategy: #{e.message}")
    {
      error: "Strategy generation failed: #{e.message}",
      market_id: market_id,
      timestamp: Time.now
    }
  end
end