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quantopian/pyfolio

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6,333 نجوم·1,885 تفرعات·Jupyter Notebook·Apache-2.0·7 مشاهداتquantopian.github.io/pyfolio↗

Pyfolio

Portfolio and risk analytics in Python

Features

  • Fama-French Factor Exposures - Computes risk decomposition using Fama-French factor regressions and rolling beta estimations.
  • Strategy Evaluations - Assesses algorithmic trading strategy effectiveness through comprehensive tear sheets and visual analytics.
  • Portfolio Return Distributions - Models portfolio return distributions with Bayesian statistics to quantify uncertainty in performance metrics.
  • Trading Algorithm Reports - Produces comprehensive sets of plots and metrics summarizing trading algorithm performance and risk.
  • Portfolio Performance Metrics - Analyzes historical portfolio returns and risk metrics to evaluate trading strategy performance.
  • Portfolio Risk Metrics - Monitors and manages portfolio risk exposure using standard financial metrics like Sharpe ratio and drawdown.
  • Bayesian Portfolio Uncertainty - Applies Bayesian statistics to measure uncertainty in portfolio metrics for probabilistic risk insights.
  • Pandas Vectorized Operations - Leverages pandas DataFrame operations for all return calculations, factor exposures, and rolling risk metrics.
  • Plotting Compositions - Separates visualization logic into standalone functions for flexible composition of matplotlib figures.
  • Trading Day Alignments - Aligns portfolio returns with market calendar data to handle trading day irregularities.
  • Quantitative Workflow Orchestrators - Supports quantitative analysts in backtesting and refining trading models with reproducible performance reports.
  • Portfolio Uncertainty Reports - Generates probabilistic performance analyses using Bayesian statistics to quantify uncertainty in portfolio metrics.
  • Report Orchestrations - Assembles multiple independent analytical modules into a single report by orchestrating plot and metric generation.
  • Data Processing & Analysis - Tool for analyzing portfolio performance and generating professional risk reports.
  • Financial Analytics - Portfolio and risk analytics for financial data.
  • Financial Analytics Tools - Portfolio and risk analytics library for Python.
  • Portfolio Management - Portfolio and risk analytics library for Python.
  • Portfolio Optimization - Analytics for portfolio performance and risk assessment.
  • Python Libraries - Library for performance and risk analysis of portfolios.
  • Quantitative Research Tools - Library for portfolio and risk analytics.
  • Trading Platforms - Performance and risk analysis library for financial portfolios.
  • أدوات التصور - Specialized performance and risk analysis for trading strategies.

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بدائل مفتوحة المصدر لـ Pyfolio

مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Pyfolio.
  • quantopian/alphalensالصورة الرمزية لـ quantopian

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    4,143عرض على GitHub↗

    Alphalens is a quantitative alpha factor analysis library designed to measure the predictive power of financial factors. It serves as a computational toolset for processing financial time series and calculating performance metrics to evaluate quantitative trading hypotheses. The library distinguishes itself through the use of quantile-based data binning to analyze return distributions across different factor strength levels. It aligns historical alpha signals with forward-looking price changes to isolate predictive effects and transforms these metrics into heatmaps and time-series charts for

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  • ranaroussi/quantstatsالصورة الرمزية لـ ranaroussi

    ranaroussi/quantstats

    6,717عرض على GitHub↗

    QuantStats is an open-source Python library that calculates risk and return metrics from a portfolio return series and generates comprehensive HTML tear sheets. It computes dozens of financial statistics—including Sharpe ratio, drawdown, and volatility—in a single pass over the input data, using vectorized pandas operations for efficiency. The library distinguishes itself by combining portfolio performance analysis with Monte Carlo simulation, which models thousands of random return paths to estimate the probability of reaching financial targets or hitting loss thresholds. It produces self-co

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  • dcajasn/riskfolio-libالصورة الرمزية لـ dcajasn

    dcajasn/Riskfolio-Lib

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    Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for calculating optimal asset allocations using convex risk measures and mathematical programming solvers, supporting linear, quadratic, and semidefinite programming. The library features a hierarchical risk parity framework and financial asset clustering tools to group similar instruments and improve diversification. It includes a portfolio backtesting engine for simulating investment strategies using historical data and cross-validation. The system covers a broad range of quant

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  • jankrepl/deepdowالصورة الرمزية لـ jankrepl

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الأسئلة الشائعة

ما هي وظيفة quantopian/pyfolio؟

Portfolio and risk analytics in Python

ما هي الميزات الرئيسية لـ quantopian/pyfolio؟

الميزات الرئيسية لـ quantopian/pyfolio هي: Fama-French Factor Exposures, Strategy Evaluations, Portfolio Return Distributions, Trading Algorithm Reports, Portfolio Performance Metrics, Portfolio Risk Metrics, Bayesian Portfolio Uncertainty, Pandas Vectorized Operations.

ما هي البدائل مفتوحة المصدر لـ quantopian/pyfolio؟

تشمل البدائل مفتوحة المصدر لـ quantopian/pyfolio: quantopian/alphalens — Alphalens is a quantitative alpha factor analysis library designed to measure the predictive power of financial… ranaroussi/quantstats — QuantStats is an open-source Python library that calculates risk and return metrics from a portfolio return series and… dcajasn/riskfolio-lib — Riskfolio-Lib is a Python portfolio optimization library and convex risk management tool. It provides a framework for… jankrepl/deepdow. robertmartin8/pyportfolioopt — PyPortfolioOpt is a comprehensive portfolio optimization library for Python that provides a full suite of methods for… jerbouma/financetoolkit — The FinanceToolkit is an open-source Python library for quantitative finance that provides a unified framework for…