fastquant 0.1.2.18

Bringing data driven investments to the mainstream

fastquant :nerd_face:

Bringing data driven investments to the mainstream

fastquant allows you easily backtest investment strategies with as few as 3 lines of python code. Its goal is to promote data driven investments by making quantitative analysis in finance accessible to everyone.

Features

1. Easily access historical stock data
2. Backtest trading strategies with only 3 lines of code

^{* - Both Philippine stock data and Yahoo Finance data are accessible straight from fastquant}

Installation

pip install fastquant

Get stock data

All symbols from Yahoo Finance and Philippine Stock Exchange (PSE) are accessible via get_stock_data.

from fastquant import get_stock_data
df = get_stock_data("JFC", "2018-01-01", "2019-01-01")
print(df.head())

#           dt  close   volume
#   2019-01-01  293.0   181410
#   2019-01-02  292.0  1665440
#   2019-01-03  309.0  1622480
#   2019-01-06  323.0  1004160
#   2019-01-07  321.0   623090

Note: Symbols from Yahoo Finance will return closing prices in USD, while symbols from PSE will return closing prices in PHP

Backtest trading strategies

Simple Moving Average Crossover (15 day MA vs 40 day MA)

Daily Jollibee prices from 2018-01-01 to 2019-01-01

backtest('smac', jfc, fast_period=15, slow_period=40)

# Starting Portfolio Value: 100000.00
# Final Portfolio Value: 102272.90