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Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation
The financial transactions database designed for mission critical safety and performance.
High-performance TensorFlow library for quantitative finance.
Performance analysis of predictive (alpha) stock factors
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
Common financial risk and performance metrics. Used by zipline and pyfolio.
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
A high-performance, high precision, zero allocation fixed-point decimal library for financial applications
:cake: The easiest way to measure your performance budget
Zero-dependency 128-bit fixed-point decimal for Go. Exact SQL NUMERIC / PostgreSQL semantics, no heap allocation, no panics — built for money, ledgers and banking arithmetic.
🛫 Fixed-Point Decimals
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.