An API for backtesting trading strategies in JavaScript and TypeScript.
-
Updated
Oct 26, 2024 - TypeScript
An API for backtesting trading strategies in JavaScript and TypeScript.
Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.
Enhanced drop-in replacement for QuantStats — portfolio analytics for quants
A framework-agnostic risk-management toolkit for systematic traders: position sizing, drawdown control, stops, correlation limits, and a pre-trade validator.
Curso ministrado por mim na Financial Risk Academy (FRA) sobre Introdução ao Risco de Mercado com Python
A small marimo GUI for comparing two price or NAV series of a Polars DataFrame.
Evidence-first investing education and DCA research tools for beginners across US, Hong Kong and mainland China markets.
Basic portfolio performance analysis in Python with Yahoo Finance data
This is the repository with codes from the Coursera course by EDHEC business School about "Construction and Analyzing Portfolio using Python Pandas"
Annualised risk/return metrics for multi-asset portfolios: Sharpe, Sortino, max drawdown and rolling variants, measured against any benchmark. Live Yahoo Finance data with an offline parquet fallback, exposed three ways: a CLI, a Streamlit dashboard and a FastAPI JSON API. Dockerised, typed and tested.
AI reduces drawdowns in passive strategies. Tutorial on my channel.
Real-time prop-firm risk-monitoring dashboard for MetaTrader 5 — advisor, no auto-trading. Source-available.
A zero-dependency javascript library of technical indicators and math/stats array functions
Drawdown-first portfolio tool with a read-only MCP addon for Claude — a deterministic core computes every number; the AI is fenced out of arithmetic.
Experimental TRACE, TRACE Lite and direction–breadth diagnostics for auditing how trading results were produced through time.
Frozen datasets and construction code for "Valuation Tearing and Deep Drawdowns: a leading measure and three-layer monitor for AI-economy sectors of the China A-share market" · 《估值撕裂与深度下跌:A 股 AI 经济板块的前兆度量与三层监测》随文冻结数据集与构造代码 · InAI Capital Advisor LLC
Fast drawdown & CED metrics in Rust with NumPy bindings
Deterministic bankroll risk governance: hard gates, strategy rotation, loss-sized recovery.
Open-source CDaR portfolio toolkit in Python featuring drawdown analytics, CDaR optimization, benchmark-relative risk metrics, and reproducible CLI pipelines for institutional-style workflows.
面向公募基金量化风险分析,聚焦回撤、波动率、下行风险、VaR、Beta、夏普与风险收益匹配度。基于今日投资金融数据接口,自动识别基金代码并输出结构化基金风险分析报告。触发词:基金风险、回撤、波动率、下行风险、VaR、Beta、夏普、风险收益比。
To associate your repository with the drawdown topic, visit your repo's landing page and select "manage topics."