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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 fintech quant quantitative-finance investment stock-data algorithmic-trading quantitative-trading quant-dataset quant-models auto-quant
  • Updated Sep 11, 2021
  • Python
backtesting.py

kernc / backtesting.py

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Plot P/L triangles in absolute currency units

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moodoid
moodoid commented Nov 10, 2020

I have set the reference price for the cash PnL at the spread between two securities (I am backtesting a mean reversion strategy). However, in the html output of the plot I am getting the PnL in terms of the differnce in the spread as a function of the entry price of the spread when the trade was initiated. Instead, I want to get the PnL based off of the prices of the sum of the two securities (VI

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enhancement good first issue

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
Riskfolio-Lib

dcajasn / Riskfolio-Lib

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Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

finance trading portfolio-optimization sharpe-ratio quantitative-finance investment cvxpy convex-optimization asset-allocation stepwise-regression investment-analysis principal-components-regression risk-factors portfolio-management risk-parity efficient-frontier drawdown-model duration-matching cvar-optimization risk-contribution
  • Updated Aug 31, 2021
  • Python
FinancePy

domokane / FinancePy

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discount curve from fx forwards / cross currency basis swaps

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ahabre
ahabre commented Aug 8, 2021

Is there a way to calibrate a discount curve from traded fx forwards?

Taking USDJPY as an example. As an input I have the fx spot, 1M, 3M and 6M forwards , I have also built a USD OIS discount curve. I want to create a JPY discount curve such that I can reprice correctly all of the fx forwards I observe in the market. Is that possible with the current library?

As an extension to the above,

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enhancement good first issue Finance Quant Python Task
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microsoft / qlib-server

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Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.

python platform finance data server stock quant investment qlib
  • Updated Jun 25, 2021
  • 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 Feb 17, 2021
  • Python

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