Create an end to end machine learning trading strategy instantly
Data
AI Model
Features
Results
Data
AI Model
Features
Tickers
Pick from a wide variety of tickers sourced from top data brokers
AI Model
Choose from a variety of machine learning and deep learning models
Features
Filter, combine, and experiment with indicators to uncover stronger signals
Data Transformation
Shape your data so your model learns more clearly. Use normalization and PCA to reduce noise and reveal stronger patterns.
Build complex models in a matter of seconds
Pick your tickers, choose an AI model, and Velo Lab builds everything for you. No coding or quant background needed. Just select what you want and let the platform run.
Start Building
Get access to our library
Browse community models and reproduced versions of popular academic papers. Learn how others approached the same problems and build on their work. Share your own models when you're ready.
Backtest using different approaches
See how your model performs using simple splits or walkforward validation. These methods show how well your idea holds up on unseen data. It's an easy way to judge reliability.
Fine tune AI models for better results
Adjust key settings to guide how your model learns. Even small tweaks can change performance. Everything is made simple so you can experiment confidently.
Download data. Export code. Share results. Go further.
Download data, export code, share outputs, and explore your model's full run history for complete clarity.
Make sense of your results instantly
No Code. No Limits.
Build, Test, and Iterate Predictive Models Effortlessly.
User-Friendly No-Code Interface
Build and test quantitative trading strategies without writing a single line of code.
Comprehensive Reporting & Visualization
Explore results through intuitive dashboards and performance charts that help you understand what’s working and why.
Data-Driven Decision Making
Evaluate model outputs, metrics, and validation results to guide your next research iteration with confidence.
Seamless Backtesting & Walkforward Validation
Validate your models using historical data and realistic walkforward simulations that mirror live trading conditions.
Multiple AI Models for Every Strategy
Run powerful algorithms including XGBoost, LightGBM, Random Forest, and LSTM to uncover predictive market patterns.
Cloud-Based Performance
Train and backtest models at lightning speed with scalable cloud computing—no local setup or hardware limitations.
FAQ
Velo Lab is a research platform that allows users to build machine-learning models to predict stock movements without needing to write code, a capability once limited to large institutions and advanced traders.
Still have questions?
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