Artificial Intelligence for Algo Trading
With uncertain events, dynamicity of global markets tracking historical and live data, estimate the future market scenarios with great precision, AI-based algorithms are instrumental in optimizing people’s decision-making processes. Traders can take timely moves and optimize their gains based on these projections. We all know that human emotions may impact trading, a significant roadblock to achieving peak performance. Algorithms and computer programmes make choices faster than people without regard for extraneous considerations like emotions. Algo trading isn’t new, and we have been in the picture since the 80s, but lately, there has been a full-fledged use of AI for Algo trading.
There are different examples of Algo Trading strategies used in Artificial Intelligence
Trade Execution Algorithms
We divide the trade into smaller orders to reduce the impact on the stock price. Trade execution is a common practice.
Strategy Implementation Algorithms
We place trades based on indications generated by real-time market data.
Stealth / Gaming Algorithms
Price changes are caused by large transactions or other algorithmic tactics exploited by stealth or gaming algorithms.
Our Research
Artificial Intelligence (AI) & Machine Learning (ML) based algorithmic trading strategies. Dynamic risk reward trades & dynamic risk management within each trading strategy.
Pattern based trading strategies (rising wedge, falling wedge patterns) to identify dynamic support and resistance.
Modelling pair trading strategies for forex, indices and stocks. Price predictive models, linear regression trading models.