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backtesting.py

kernc / backtesting.py

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Star 2.3k
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calculation of `Buy & Hold Return`

3
zillionare
zillionare commented Apr 30, 2021

this is how Buy & Hold Return is calculated:

        c = data.Close.values
        s.loc['Buy & Hold Return [%]'] = (c[-1] - c[0]) / c[0] * 100  # long-only return

so it's calced use day one and the day last.

Expected Behavior

Buy & Hold Return is used for compare with strategy gain. Therefore, I guess they should started at same time, since the strategy get enough data to w

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bug good first issue Hacktoberfest
Riskfolio-Lib

dcajasn / Riskfolio-Lib

Star 1.1k

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 Mar 19, 2022
  • Python

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

Star 952

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
FinancePy

domokane / FinancePy

Star 783
Open

discount curve from fx forwards / cross currency basis swaps

1
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

Star 143

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 Oct 29, 2021
  • Python

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