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Build Deep Neural Networks
Artificial Intelligence (AI) is transforming financial markets by enabling sophisticated trading strategies that adapt to real-time market conditions. At the core of AI-driven trading models are neural networks, which process vast amounts of financial data to make predictions, optimise strategies, and enhance trade execution. One of the most fundamental components of these networks is connection weights, which determine how information flows and how the model learns from historical and real-time data.
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Reliable and Scalable
Global Platform
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Research
Leverage Kubeflow ML pipelines to analyse market data, develop strategies, and validate them with backtesting. Extract insights from historical & real-time data
Test strategies with quantitative finance models Automate research with scalable data pipelines
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Train
Train deep reinforcement learning (DRL) agents using real-world market environments.Use TensorTrade-style observation spaces Optimise trading logic with ElegantRL algorithms
Accelerate training with distributed processing
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Execution
Run AI-powered strategies in live markets with automated execution and real-time monitoring. Execute trades within our ultra low-latency infrastructure
Adapt to market conditions with dynamic risk management.
Who is this platform designed for?
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Do I need coding experience to use the platform?
Can you support Direct Market Access