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microsoft / qlib

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Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

python platform finance machine-learning quant quantitative-finance investment stock-data algorithmic-trading quantitative-trading quant-dataset quant-models auto-quant
  • Updated Nov 2, 2020
  • Python

rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

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Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data
  • Updated Feb 14, 2017
  • Jupyter Notebook
FinQuant

fmilthaler / FinQuant

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A program for financial portfolio management, analysis and optimisation.

finance analysis monte-carlo financial monte-carlo-simulation investment financial-analysis optimisation returns financial-portfolio-management moving-average investment-strategies investment-portfolio investment-analysis markowitz-portfolio portfolio-management bollinger-bands efficient-frontier portfolio-optimisation portfolio-properties
  • Updated May 14, 2020
  • Python

MBKraus / Python_Portfolio__VaR_Tool

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Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)

python portfolio benchmark risk heatmap beta stock monte-carlo-simulation sharpe-ratio wxpython investment return yahoo-finance value-at-risk risk-management sp500-real-time-data variance-covariance historical-simulation geometric-brownian-motion stock-widget
  • Updated Sep 19, 2020
  • Python

spacious-team / investbook

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Опциональное отключение бекапа отчетов брокера

vananiev
vananiev commented Oct 25, 2020

На текущий момент успешно загруженные отчеты брокера сохраняются в домашней директории пользователя в папке investbook/report-backups. Подволять отключать бекап настройкой

investbook.report-backup: off
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