Alpha, engineered.
AI-native quantitative research for equities, FX, commodities and digital assets — from raw market data to explainable research insights in one pipeline.
LATENCY streaming
Quant research is still stitched together by hand.
Most teams run on scattered vendors, fragile notebooks and backtests that quietly leak the future. We rebuilt the workflow end to end.
The old way
- Fragmented data vendors, CSV exports and one-off scripts
- Backtests that leak future information and overstate returns
- Months from idea to production, rebuilt for every asset class
- Black-box models that risk and compliance teams cannot trust
The Chakra way
- One versioned, point-in-time data lake across markets and chains
- Leak-proof walk-forward validation switched on by default
- Faster · research workflow, with agentic research assistants
- Explainable forecasts with model cards and a full audit trail
Six stages from raw data to deployable signal.
Hover or tap a stage to see what happens inside. Every stage is versioned, observable and feeds outcomes back into the models.
One engine. Six ways to put it to work.
Chakra Quant Research
Notebook-native research, feature store and backtesting engine on point-in-time data — built for Python, SQL and Spark workflows.
- Python SDK
- Walk-forward
- Feature store
- MLflow tracking
Research Signals (in development)
A curated library of tested signals with published out-of-sample statistics, delivered by API or dashboard.
03 · Digital assets Available on CryptoChakraCrypto Forecasts
Multi-horizon probabilistic price forecasts and crash scenarios for hundreds of cryptoassets, via CryptoChakra.
- cryptochakra.com ↗
Manipulation & Anomaly Detection
Flags pump-and-dump patterns, wash trading and abnormal volume for further research.
05 · Agentic AI In developmentAsk Chakra
A research copilot that reasons over prices, on-chain data, news and filings — with citations.
Quant Compute — on-demand GPUs for training and large backtests
Our open-access AI cloud, now tuned for quant workloads. Access is granted on a rolling basis.
Chakra Quant is in development. Features described on this page are planned and may change before launch.
Watch the market through our lens.
Live prices with a volatility cone derived from realised volatility, plus the regime and momentum readings our models use as inputs.
A research desk of AI agents — with a governance layer on top.
Ask a question in plain English. Specialist agents gather data, read the news, run the statistics and hand a cited, risk-checked note back to you.
Example output shown for illustration only. Figures are not real research results.
Built for the way your desk works.
Research velocity without the data plumbing.
Plug our signal library and point-in-time features straight into your research stack, or commission custom models with our team.
- Signal and feature API with full history
- Custom model research engagements
- Leak-free datasets for honest backtests
Institutional-grade insight, explained clearly.
Regime dashboards, risk overlays and digital-asset research that portfolio managers can explain to clients and committees.
- Market regime and risk dashboards
- Digital-asset allocation research
- Plain-English model explanations
Add forecasting and integrity checks to your product.
White-label forecasts, sentiment and manipulation detection for trading apps, brokers and exchanges.
- REST API and webhooks
- White-label widgets
- Market-integrity alerts for listings
CryptoChakra — forecasts and educational tools for crypto research.
Price forecasts, crash scenarios, sentiment and manipulation detection, plus educational resources for responsible learning.
- Forecast Explorer for hundreds of cryptoassets
- Manipulation Detector and Sentiment Analyzer
- The Seven Chakras learning path
The crypto portal for 200,000+ community members.
Everything our models learn about digital assets, packaged into forecasts, market-integrity tools and a learning path for every stage of the journey.
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Built on a production stack, not a slide.
Every layer is designed for reproducibility, scale and governance — the same tools used by modern data and ML teams.
- React
- REST
- SDK
- PyTorch
- XGBoost
- Transformers
- RAG
- MLflow
- Notebooks
- Spark
- PySpark
- Delta Lake
- AWS
- GCP
- Kubernetes
- CUDA
- RBAC
- Audit
From research project to research platform.
CryptoChakra launched
AI crypto forecasts, tools and education.
CompletedChakra AI Ltd incorporated
In England and Wales.
CompletedChakra Quant research platform
In development.
In progressPlanned: signal and forecast API
PlannedPlanned: multi-asset research and an AI research assistant
PlannedLatest research.
Exchange inflows as an early-warning signal for Bitcoin drawdowns
How on-chain flow shocks compare with volatility regimes as a risk overlay, tested walk-forward.
Why most crypto backtests lie — and how point-in-time data fixes it
Survivorship, look-ahead and listing bias, quantified.
LLM sentiment embeddings vs. keyword scores
Which one actually carries information about next-day returns?
Find your edge.
Join the waitlist, register API interest, or talk to us about a research collaboration.