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[ Terminal ]
A Powerful Terminal
Built on top of Kubeflow, harness the combined power of our integrated web terminals to research and develop financial AI models against an array of datasets and devise trading strategies—all seamlessly integrated with Coder for a truly data-driven development experience. Build machine learning pipelines and unlock insights from terabytes of alternative data using Fin GPT’s advanced analytical capabilities to refine your strategies and enhance decision-making. With Coder’s cloud-based, customisable development environments, collaborate effortlessly and optimise your workflow for unmatched efficiency and scalability. Back test and deploy your models directly in our low latency execution environment
Popular ML/AI Frameworks
Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch.
TensorFlow makes it easy to create ML models that can run in any environment.
Scikit-learn, also known as sklearn, is an open-source, machine learning and data modelling library for Python. It features various classification, regression and clustering algorithms
Reuse existing models with our integration with Hugging Face, or train your own models
RLib is an open source library for reinforcement learning (RL), offering support for production-level, highly scalable, and fault-tolerant RL workloads
RLib is an open source library for reinforcement learning (RL), offering support for production-level, highly scalable, and fault-tolerant RL workloads
Use Cases & Application
Deep Reinforcement Learning (DRL) agents can be used to dynamically price derivatives and manage risk in response to changing market conditions. Traditional pricing models, such as Black-Scholes or Monte Carlo simulations, rely on static assumptions and may struggle to adapt to real-time volatility and market microstructure. A DRL-based approach enables adaptive, data-driven pricing and risk management, optimising profitability while controlling exposure.
The system empowers firms to develop and execute sophisticated market execution strategies that minimise market impact. Users can train and deploy AI models for dynamic order placement, ensuring execution efficiency across various asset classes. With support for execution algorithms like VWAP, TWAP, and smart order routing (SOR), traders can achieve better fills while optimising execution costs.
Investors and fund managers struggle to balance risk and return efficiently, especially in volatile markets. Traditional risk models, such as Modern Portfolio Theory (MPT), are limited in handling nonlinear market behaviours and unexpected shocks. An AI-powered system can analyse historical data, alternative data sources (such as sentiment analysis from news and social media), and macroeconomic indicators to generate dynamic asset allocation strategies.
The cryptocurrency market operates 24/7, with fragmented liquidity, high volatility, and varying trading conditions across multiple exchanges. AI-driven trading solutions can optimise order execution, dynamically manage liquidity, and adapt trading strategies in real time to maximise profitability and minimise risk.
Utilises AI and machine learning to build sophisticated market models that analyse historical data, macroeconomic indicators, and real-time market events. By identifying complex patterns and correlations, AI enhances price discovery, volatility forecasting, and liquidity modelling. These models enable traders, quants, and portfolio managers to simulate different market conditions, stress-test strategies, and optimize execution to stay ahead in dynamic financial environments.
Multi-Asset Portfolio Modelling accurately model multi-asset portfolio strategies, tracking real-time strategy equity across complex portfolios in backtesting and live trading. You can easily access the margin remaining for your strategy and size positions to reduce cash.Run your models aginst a varifity of markets
Flexible Solution Options
Shared SaaS
Ideal for small funds, family offices, professional technical traders, or platform evaluation
Include
24/7 Basic Support.
Managed Service
Request Custom Libraries
Standardised & Alternative datasets
Scalable Infrastructure.
Pay-per-usage
Dedicated SaaS
Ideal for mid-level funds with proprietary data requiring full control over infrastructure.
Include
Bring your own data. + Standardise & Alternative dataset
Secured access to internal network via VPN only or DX
Managed Service
24/7 Bespoke Support & Development
Scalable Infrastructure.
Percentage based pricing
Enterprise
Ideal for Market Makers, Large funds or HFT
Include
Bespoke Hardware
Ultra-low latency network optimisation
DMA enablement
Tailored Development & Supporrt
Priority Access to Cutting-Edge Research
Custom Enterpise pricing available