Through our research platform you can train advanced machine learning algorithms to trade financial markets. You can manually configure the algorithms or activate the autopilot to train and optimize algorithms with thousands of parameters. As a result, you can constantly generate new investment strategies and have hundreds of strategies at your disposal, from which you can deploy the overally fittest or those that work best in the current market cycle. Our unique selling point is that you do not have to write a single line of code to train and validate the algorithms.

Our research platform allows you to backtest and validate the algorithms with both historical and live data. The backtest displayed in the backtesting platform represents the algorithm's ability to forecast unseen data. In addition to backtesting, you can validate the ability of the algorithms to trade with real-time data. Consequently, you can assess whether the actual performance differs from the performance on historical data and evaluate the performance of the algorithm in the current market cycle. The combination of backtesting on historical data and live testing is best suited to detect and avoid over-fitting of investment strategies.

Once the algorithms are sufficiently trained and validated, they can be combined to a diversified portfolio that can be optimized and deployed to your trading account. The strategies can be deployed and deactivated in the shortest possible time and without much effort. This allows you to act quickly when an algorithm loses its predictive power and replace it with an algorithm that performs better in the current market cycle. The Portfolio Management Platform gives you the ability to deploy multiple optimized portfolios or multiple individual algorithms to your trading accounts.

The portfolio management platform gives you a real-time overview of your portfolios. You can monitor the current net asset value, open positions, asset class diversification, realised and unrealised profits and track transaction costs. In addition, you can use various portfolio optimization algorithms, control your leverage or rebalance, close or terminate your portfolios. Through the risk management platform, you can monitor various indicators of risk, return and risk-adjusted return and constrain these indicators to take action if a threshold of accepted risk/return is exceeded.