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Index future simple stat and time-series backtest module

Project description

Index Futures Simple Backtest Module (Personal Usage)

Chang Sun Email

Install

pip install --upgrade sc-backtest

Simple Test

  • Check for factor validity
    • Statistical:
      • CDF
      • Markout
      • Hist
    • Time-Series:
      • Sign-Trade
      • Value-Trade
      • Threshold-Trade
# x: factors
# y: asset's future ret

import pandas as pd
import numpy as np
from sc_backtest import simpletest

data = pd.read_csv('.\factor_and_ret.csv', index_col=0, header=0)
x = data.loc[:, 'factor']
y = data.loc[:, 'ret']
st = simpletest(is_day=True)
st.plot_cdf(x, y)

Technical Analysis

Variou moving average function

  • SMA
  • EMA
  • WMA
  • MMA
  • QMA
  • ...
import pandas as pd
import numpy as np
from sc_backtest import technical_analysis

wma = technical_analysis.wma(pd.Series(np.random.rand(100)), window=5)

Example

Input your factor and uderlying asset's future return series with index type as DatetimeIndex and get the composite stat and time-series plots.

# x: factors
# y: asset's future ret

import pandas as pd
import numpy as np
from sc_backtest import simpletest

data = pd.read_csv('.\factor_and_ret.csv', index_col=0, header=0)
x = data.loc[:, 'factor']
y = data.loc[:, 'ret']
st = simpletest(is_day=True)
st.plot_composite(x, y, markout_periods=30, cdf_period2=5)

Project details


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