Crypto Theorem

OPPORTUNITIES GENERATED


Automated trading platform that allows you to take advantage of
crypto sentiment fluctuations.













How it Works?

We collect news, public disclosure and discussions to determine sentiment and price impact for various events and assets.

Algorithmic Trading Opportunities

  • 2,000+ Assets including Cryptocurrencies
  • 1,200+ Event types
  • 5,000+ Organizations and thought leaders
  • 150+ Technical Indicators
  • Massive data, up to 36 months tick data

All you need to succeed!
Powerful trading tools for everyone


  • Drag & Drop strategy designer
  • Algorithmic Trading
  • Unlimited backtest
  • Buy/Hold, Short/Long, Margin Trading strategies
  • AI Optimization
  • Strategies Marketplace
  • Built-in Technical Analysis
  • Sentiment Signals
  • Automated strategies running 24/7
  • TWAP, VWAP, Advanced order placement
  • Detailed log of the strategy execution
Supported Exchanges*



Crypto Theorem supports the major exchanges allowing each of its users to benefit from the service over its entire portfolio.

* Integration through API is possible (Read Guide, Security).

  Sentiment Index

Explore events that move the markets

  • Cryptocurrencies
  • Exchanges
  • Wallets
  • ICO & STO, Tokens
  • FinTech Startups
  • Central Banks
  • Regulators
  • GeoPolitical Tensions
  • Macroeconomics

Drag & Drop News Algo Trading

  • Drag & Drop create your strategy
  • No coding! AI Optimization!
  • Combine Qualitative & Quantitative models
  • Enjoy powerful technical, sentiment and bubble indicators
  • Take advantage on our news and social analytics
  • Up to 20 bots
  • Long and short positions.
  • Alert on new trading opportunities
  • Take profit targets and progress tracking


Train Your Model and Profit

Use our AI with sentiment indexes to find the best trading opportunities and create your own strategy.

Backtest your model with historical data,
Execute on Exchange or Paper Trade your stategy.

Rent proven strategies or monetize yours to generate incomes.