Business Case
At Xcapit, we needed AI models that went beyond off-the-shelf solutions. Our portfolio optimization and trading strategies required custom implementations with full control over the math. We built everything from scratch, before ChatGPT existed.
Impact
- Team of 5 PhDs (mathematics, physics, computer science) building custom AI
- Pre-GPT era: all models designed and implemented from scratch
- Powered the trading engine that achieved 400%+ annual returns
- UNICEF and Ethereum Foundation funded the broader platform
What’s Inside
| Module | Purpose |
|---|---|
| GeneticAlgorithm.py | Custom genetic algorithm for combinatorial optimization |
| ModelOptimization.py | Hyperparameter tuning strategies |
| ModelValidation.py | Robust cross-validation and evaluation |
| simulations.py | Monte Carlo simulations and stochastic calculus |
| LSTM models | Time-series prediction for price forecasting |