Get recent trades for a strategy

Initialize vector database

Initialize database and create tables

Initialize LangChain components

Initialize LangChain components

Initialize sentiment analysis models

Initialize NLP components

Initialize trading system components

Initialize LLM provider

Simple keyword-based sentiment analysis

Log strategy execution

Optimize using genetic algorithm

Optimize using genetic algorithm

Optimize using scipy.optimize

Optimize using scipy.optimize

Parse Binance WebSocket message

Parse Coinbase WebSocket message

Parse Kraken WebSocket message

Parse LLM response into MarketAnalysis

Parse WebSocket message based on exchange

Parse LLM response into StrategyRecommendation

Prepare factor data for backtesting

Prepare price data for backtesting

Process tick data into snapshots

Remove duplicate posts based on text similarity

Remove duplicate news items based on URL

Select stocks with equal weights

Select stocks with weights proportional to factor values

Select stocks using risk parity approach

Select top N stocks by factor value

Setup API routes

Show AI analysis tab

Show market data tab

Show performance analysis tab

Show strategy backtest tab

Show system status tab

Tokenize using NLTK

Tokenize using spaCy

Update equity curve with current portfolio value

验证数据完整性

Add alert callback

Add message handler

Add snapshot callback

Add tick data callback

分析单个股票

Apply PCA for dimensionality reduction

Calculate all available factors for a symbol

Calculate aggregate market sentiment metrics

Calculate price momentum factors

Calculate quality factors from financial data

Calculate relative strength vs market

Calculate sentiment factors for multiple symbols

Calculate size factors

Calculate social media engagement metrics

Calculate technical indicators

Calculate value factors from financial data

Calculate volatility and risk factors

Calculate volume momentum factors

Close database connection

Create interactive candlestick chart

创建图表目录

Create drawdown chart

Create factor analysis visualization

Create interaction features

Create lag features

Create portfolio performance chart

Create real-time price chart (candlestick)

Create returns distribution histogram

Create rolling window features

Create rolling Sharpe ratio and volatility chart

Create sample market and factor data

Create trading signal based on sentiment factor

Create statistical features

Create a strategy instance Args: strategy_name: Name of the registered strategy parameters: Strategy

Create technical analysis chart with indicators

Create technical indicators

Delete document from vector store

Demonstrate complete LLM & NLP pipeline

Demonstrate LangChain agent

Demonstrate LLM integration

演示市场分析功能

Demonstrate market analysis using LLM

演示Matplotlib图表功能

演示NLP处理功能

Demonstrate NLP processing pipeline

演示Plotly图表功能

Demonstrate portfolio optimization using LLM

Demonstrate provider information and usage stats

Demonstrate trading question answering using LLM

Demonstrate risk assessment using LLM

演示情感因子生成

Demonstrate sentiment factor generation

Demonstrate trading signal generation using LLM

演示与策略系统的集成