GARCH and EGARCH volatility models for TypeScript
Grounded quant finance math for AI agents over MCP. LLMs drift 5-30% on Black-Scholes Greeks and silently fail at Kelly, Sharpe, and VaR — this server is deterministic, citation-tested math (Hull, Wilmott, Lopez de Prado). 63 calculators (options pricing,
Statistical volume anomaly detection for trade streams - Hawkes process, CUSUM, and Bayesian Online Changepoint Detection (BOCPD). Zero dependencies. TypeScript.
Complete technical analysis suite - 189 indicators, risk metrics, pattern recognition. Native + WASM backends for Node.js AND Browser
Self-contained RL trading bot with DQN, PER, and market simulation
63 quant computation tools in your terminal. Options, risk, indicators, Monte Carlo, portfolio optimization.
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Autonomous scientific research agent — a quant researcher + economist + data scientist living inside your terminal
Git Archaeology - Explore the evolution of code through git history interactively
GARCH models for volatility forecasting and risk modeling in financial time series
A comprehensive Rust library for time series analysis and forecasting including moving average, exponential smoothing, autoregressive, and GARCH models
Time series analysis module for SciRS2 (scirs2-series)
Deterministic Rust execution engine for trading backtests: limit-order book, portfolio simulation, metrics, risk checks, and Python bindings
High-performance econometrics with R/Python formulas. Two-Way Clustering, Marginal Effects (AME/MEM), HC1-4, IV Predictions, Categorical C(var), Polynomial I(x^2), Interactions, Diagnostics. OLS, IV/2SLS, DiD, Logit/Probit, Panel (FE/RE), Time Series (VAR/VECM), Quantile!
High-performance statistical computing library written in Rust, exposed to Python via PyO3
High-performance statistical computing library written in Rust, exposed to Python via PyO3
High-performance statistical computing library written in Rust, exposed to Python via PyO3
High-performance statistical computing library written in Rust, exposed to Python via PyO3
High-performance statistical computing library written in Rust, exposed to Python via PyO3
High-performance statistical computing library written in Rust, exposed to Python via PyO3
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