Move qis to Trading & Backtesting (#640)

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Artur Sepp
2026-09-06 20:05:38 -03:00
committed by GitHub
parent 743dbef3ce
commit 97a3e613d8
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@@ -211,6 +211,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [quantitative](https://github.com/jeffrey-liang/quantitative) - `Python` - Quantitative finance, and backtesting library.
- [analyzer](https://github.com/llazzaro/analyzer) - `Python` - Python framework for real-time financial and backtesting trading strategies.
- [bt](https://github.com/pmorissette/bt) - `Python` - Flexible Backtesting for Python.
- [qis](https://github.com/ArturSepp/QuantInvestStrats) - `Python` - Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting.
- [backtrader](https://github.com/backtrader/backtrader) - `Python` - Python Backtesting library for trading strategies.
- [backtrader (cloudQuant fork)](https://github.com/cloudQuant/backtrader) - `Python` - Actively maintained, high-performance backtesting and live trading framework with AI-assisted strategy tooling (MCP server, skills, agent, web platform). [backtrader](https://github.com/backtrader/backtrader) fork.
- [TrendFollowingSystems](https://github.com/ArturSepp/TrendFollowingSystems) - `Python` - Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.
@@ -602,7 +603,6 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [finplot](https://github.com/highfestiva/finplot) - `Python` - Performant and effortless finance plotting for Python.
- [finvizfinance](https://github.com/lit26/finvizfinance) - `Python` - Finviz analysis python library.
- [market-analy](https://github.com/maread99/market_analy) - `Python` - Analysis and interactive charting using [market-prices](https://github.com/maread99/market_prices) and bqplot.
- [QuantInvestStrats](https://github.com/ArturSepp/QuantInvestStrats) - `Python` - Quantitative Investment Strategies (QIS) package implements Python analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
- [LightweightCharts.jl](https://github.com/bhftbootcamp/LightweightCharts.jl) - `Julia` - Julia wrapper for Lightweight Charts™ by TradingView.
- [QUANTAXIS_Webkit](https://github.com/yutiansut/QUANTAXIS_Webkit) - `JavaScript` - An awesome visualization center based on quantaxis.
- [dxcharts-lite](https://github.com/devexperts/dxcharts-lite) - `JavaScript` - Flexible financial charting library based on HTML5 canvas.