Crypto Market Analytics, Technical Indicators & AI-Signals

The altFINS Crypto Market & Analytical Data API delivers institutional-grade crypto market data, deeply computed analytics, and automated insights via a REST-based interface designed for developers, quants, traders, and AI engineers. It simplifies access to price history, technical indicators, chart pattern detection, fundamental on-chain metrics, and trading signals — all powered by the same infrastructure used across the altFINS platform.

Get Started with the altFINS API

Ready to start building with institutional-grade crypto analytics?

📘 API Documentation

Explore full endpoint references, parameters, response schemas, and example queries. 👉 Access the API Documentation

🎥 Introduction Video

Get a high-level walkthrough of the altFINS API, data coverage, and common use cases for developers, traders, and AI teams. 👉 Watch the API Introduction Video

🚀 API Landing Page

Learn about plans, data coverage, supported use cases, and how teams use the altFINS API in production. 👉 Visit the API Landing Page

Key Features

📊 Comprehensive Market Data

• Real-time and historical OHLC price data
• Multiple timeframes: 15m, 1h, 4h, 12h, 1d
• Coverage for ~2,000+ crypto assets

📈 Advanced Technical Indicators

• Access 150+ technical metrics including:
• Trend, momentum, volatility, volume & moving averages
• Oscillators (RSI, MACD, Stochastics)
• Volatility measures and trend strength indicators
• Automatic trend direction and change tracking
• Learn more details

🔄 Indicator Crossovers

Signal when one indicator crosses another (e.g., price vs EMA, SMA crossovers), including golden/death cross events useful for trend confirmation and signal generation.

📉 Candlestick Pattern Detection

35+ classical candlestick patterns are automatically detected and timestamped, from single-candle patterns (e.g., Doji, Hammer) to multi-bar patterns (e.g., Morning Star).

📊 On-Chain & Fundamental Analytics

• Revenue metrics (total, protocol, annualized)
• Valuation ratios (Market Cap / Revenue, FDV ratios)
• TVL and DeFi performance metrics
• Historical performance deltas (7D–365D)

⚡ Signal Feed

Pre-computed bullish and bearish signals based on combined indicator, pattern, momentum and fundamental data, ready to power automated alerts, agent decision logic, or trading bots.

🤖 MCP Server for AI Agents

The MCP (Model Context Protocol) server offers a model-friendly interface that reads altFINS data directly into LLM-based workflows — eliminating data parsing overhead when building AI agents and autonomous trading systems.

Built For

altFINS API is ideal for users who need analytics-first data to build products such as:

• Algorithmic trading systems & bots
• AI and machine-learning agents
• Quantitative research and backtesting engines
• Crypto market dashboards & fintech apps
• Real-time signal alerts and notifications

Benefits of using altFINS API

Why developers, quants & AI teams choose altFINS API:

• Analytics-First: Pre-computed indicators and signals save engineering time.
• Unified Data Model: Clean, normalized datasets suitable for machine learning and agent workflows.
• Enterprise-Ready: Built for high-volume, scalable usage across production systems.
• AI & LLM Integration: MCP server speeds time-to-insight for AI agents.

FAQs

❓ What data does the API cover?

The API provides price history, technical indicators (150+), trend/crossover analytics, candlestick pattern detection, fundamental metrics (revenue, TVL, valuation ratios), and ready-to-use signal feeds.

❓ How many assets and intervals are supported?

It supports ~2,000 crypto assets across 5 standard timeframes: 15m, 1h, 4h, 12h, and 1 day on 7 year history.

❓ Can I build automated trading bots with it?

Yes, many users build entry/exit logic, trend detectors, signal listeners, and fully automated strategies using the API.

❓ Is this suitable for AI & machine learning?

Yes, data is normalized and structured for predictability, and the MCP server provides direct access optimized for large models and agent workflows.

❓ Does it include news summaries feeds?

The API can deliver condensed news summaries via dedicated endpoints in the documentation.

❓ Who should use this API?

Developers building fintech or trading apps, quant researchers, data scientists training models, and AI engineers building LLM-based trading assistants.