Integrations — 10+ Data Sources Powering TradePulse AI
TradePulse AI is not just another trading dashboard. It aggregates data from over 10 specialized sources — exchanges, social platforms, government economic databases, DEX aggregators, and news outlets — and processes it through our server-side functions to deliver unified, actionable intelligence.
Binance
Real-time price data, order book depth, and candlestick charts
How it's used: Primary data source for live market prices across hundreds of trading pairs. Powers real-time charts, price alerts, signal bots, and paper trading simulations with actual market conditions.
CoinGecko
Market cap, volume, supply data, and historical prices for 6,600+ coins
How it's used: Provides comprehensive market data for the broadest coin coverage on the platform. Used for portfolio valuations, market overview rankings, trending coins, and historical price analytics.
LunarCrush
Social sentiment scores, social volume, and community engagement metrics
How it's used: Powers the Social Intelligence Hub with real-time sentiment analysis across Twitter, Reddit, and other platforms. Social scores feed into the AI Consensus Engine for sentiment-aware trading signals.
Alternative.me
Crypto Fear & Greed Index — daily market sentiment indicator
How it's used: Displays the Fear & Greed Index on the dashboard as a macro sentiment gauge. Extreme fear and extreme greed readings feed into AI signal confidence calculations and risk assessments.
FRED (Federal Reserve)
Interest rates, CPI inflation, M2 money supply, and macroeconomic indicators
How it's used: Connects crypto markets to the broader economy. FRED data helps the AI engine understand how Federal Reserve policy, inflation trends, and liquidity conditions impact crypto prices.
DEX Screener
Decentralized exchange token listings, liquidity, and trading activity
How it's used: Enables DEX discovery — find new tokens trading on Uniswap, PancakeSwap, and other DEXs before they reach centralized exchanges. Track liquidity pools, trading volume, and price action for emerging projects.
Coinbase
Planned: portfolio sync and balance tracking (exchange connections are not live yet)
How it's used: Exchange connections are not live yet. You can save a Coinbase API key in Settings, but it stays in your browser's local storage, is not sent to our servers, and is not used to view balances, sync trade history or place trades. We never ask for withdrawal permission.
Kraken
Planned: portfolio sync and balance tracking (exchange connections are not live yet)
How it's used: Exchange connections are not live yet. You can save a Kraken API key in Settings, but it stays in your browser's local storage, is not sent to our servers, and is not used to view balances or place trades. Cross-exchange price comparison uses public market data.
ScrapeCreators
Web scraping infrastructure for structured data extraction
How it's used: Powers advanced data collection pipelines that gather pricing data, project information, and market intelligence from sources that do not offer public APIs. Ensures TradePulse AI has the most comprehensive data coverage possible.
200+ News Sources
Real-time crypto news from CoinDesk, CoinTelegraph, The Block, Decrypt, and more
How it's used: Aggregates breaking news from over 200 cryptocurrency news outlets into a unified feed. AI-powered summarization highlights the most market-moving stories, and news sentiment feeds into trading signal calculations.
Why Multi-Source Data Matters
Crypto markets are driven by a complex mix of technical patterns, social sentiment, macroeconomic policy, on-chain activity, and breaking news. No single data source tells the full story. TradePulse AI's integration architecture combines all of these signals into a unified intelligence layer that gives you a complete picture before every trading decision.
Our server-side functions process and normalize data from all integrated sources in real time. The AI Consensus Engine then weights these inputs to generate trading signals with confidence scores — ensuring that signals are backed by technical, fundamental, and sentiment data rather than any single indicator. This multi-source approach reduces false signals and increases the reliability of every recommendation.