We conduct academic research to continuously improve the technologies that drive our high-performance trading software.
Cryptocurrencies such as Bitcoin (BTC) and Ethereum (ETH) propose revolutionary blockchain solutions to the digital economy. These currencies provide utilities to users and facilitate peer-to-peer payment transactions. TRAIDER SOFTWARE utilises the high volatility of these emerging markets as an opportunity for financial gain by forecasting the future price.
Our automated trading software works around the clock to execute trades logically and strategically by processing large amounts of information as it becomes available. This enables:
Successful trading performance is accomplished by pairing an accurate financial model with a reliable trading strategy. These models are generated by highly trained neural networks - implemented by our Machine Learning researchers, who employ cutting-edge techniques to feed market data into learning algorithms.
Our specialised deep learning models are configured for detecting patterns in temporal data. This is the equivalent of human traders performing technical analysis on historical price charts. Each model will return predictions for the next 24 time steps, which typically provides signals for short-medium term trading opportunities. Market sentiment data is also analysed by our models to adjust predictions according to current trends and news events.
In addition to using a machine to find complex patterns in the data, the model can adapt to changing market conditions over time and continually improve the performance of the algorithm as it learns. This early trend detection is particularly important for profitability in rapidly changing cryptocurrency markets.
Adaptation is achieved by breeding and evolving high-performing models over many generations in a genetic evolutionary algorithm - a novel approach which improves the accuracy of the best models and powers our trading software.