BeawAI Trading Solutions
ai algorithms for changing markets
TRADE SMARTER
Modern trading requires speed and flexibility. We develop AI trading algorithms that quickly adapt to new market conditions.
Automate your strategy
Leverage your market knowledge and experience and embed it in an automatic algorithm to trade faster, better and around the clock.
trade with artificial intelligence
Add robustness and flexibility to your trading strategy by using the power of AI to find patterns and adapt to market changes.
Research and develop new strategies
Test your new ideas, data or factors through a rigorous analytical process. Minimize the risk of false positives before live trading.
Flexible Strategies
Using AI to adapt to new market conditions
- Continuously learning from new market data
- Using Artificial Intelligence to improve its trading strategy
- Leveraging multiple market data sources to identify the best opportunities
Nimble Algorithms
Smart strategies instead of brute force
- Simple trading principles that don't require super-computers
- Lightweight trading algorithms that are faster to test, deploy and improve
- Ability to develop, test and select multiple trading bots in parallel
Robust Research
Proven, stress-tested strategies to avoid false positives
- Rigorous selection for live trading (less than 1% of developed bots)
- Dynamic and static safeguards to protect the capital
- Market neutral strategies
Trading Strategy Automation
Embed your existing strategy in a round-the-clock trading algorithm
Strategy tuning and validation
Systematic back-/forward-testing and what if simulations
Broker deployment and performance monitoring
From $1,000
AI algorithm development
Boost your strategy through Artificial Intelligence
Identify key strategy parameters to optimize
Prototype different algorithms
Stress-test AI performance under multiple scenarios
From $3,000
strategies research & development
Research, test and implement custom factors and strategies
Explore new factors and alternative data sources
Robust statistical tests to avoid strategy overfitting
Run multiple experiments