TRADING
Intraday trading requires the ultra fast processing and analysis of a perpetual stream of ever changing price movements.
Multicore Dynamics embarked on perhaps our most ambitious project yet, to evaluate whether novel analysis techniques together with Machine Learning could be utilised to predict price action and to what extent this would translate into profitable trades.
INTRADAY TRADING
Our AI trader monitors and detects signals arising from a live stream of market data. From this, buy and sell instructions are issued according to patterns found within the processed data.
THE CHALLENGE :
To start the process, certain key ingredients were sought :
A willingness to learn from the ground up
Live-stream with massive amounts of data
Machine Learning know-how
Evaluation of multiple analysis techiques
High Performance Computing Power
Determination and resilience proved to be a key requirement as the path to progress, from learning through to design, implementation, evaluation and delivery of results would prove arduous.
THE RESULT
To design and build an algorithmic trader.
THE KNOW-HOW
As is the case with most complex data, we soon discovered that trading data would first require a significant pre-processing to enable subsequent signal detection.
Evaluating and applying the right machine learning methods would necessatate countless hours of optimisation and further fine tuning if our AI virtual trader was to be able to detect meaningful patterns and correlations from within the data.
Insights
Empowered analytical insights and solutions.
Multicore Dynamics Ltd
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