mc-sim-fin 0.1.1b2

montecarlo simulations/analysis library for finance

Montecarlo simulations/analysis for finance (equity simulator)

An inspiration of the book BUILDING WINNING ALGORITHMIC TRADING SYSTEMS of 'Kevin J. Davey' (chapter 7 detailed analysis)

What's happened if your trades happened in an other order and you iterate many times to extract statistics ? What are your chances to be ruin ? What's max drawdown you may met ?

Pass the trade results to the library and it will help you to manage the risk.

CAUTION : The simulator include assumption that your trades are independent one of the others (you use a durbin watson statistic from statsmodels library to see that)

Installation

Use the package manager pip to install montecarlo simulation finance.

pip install mc-sim-fin

Usage

For the code example below you have 5000 dollar for trading, you stop trading if you capital go below 4000. Your backtest results show that you bot make one trade per day and alternate a win trade of 200 then a lose trade of 150 during the 2017 year.

By default it simulate 1 year of trading with 10000 iterations (look at the documentation to modify this params).

import pandas as pd
import numpy as np
from mc_sim_fin.mc import mc_analysis


date_results = pd.date_range(start='1/1/2017', end='31/12/2017').tolist()
profit_results = np.resize([200, -150], 365)

results = pd.DataFrame({'date_results': date_results, 'profit_results': profit_results})

mc_sims_results = mc_analysis(results, start_equity=5000, ruin_equity=4000)


print(mc_sims_results)

# print output
{
'risk_of_ruin_percent': 0.156,
'med_max_drawdown_percent': 0.36,
'med_profit_percent': 1.83,
'prob_profit_is_positive': 0.9979
}

Ok so seems like I have 15.6% changes to be ruin, I can expect 36% max drawdown and 183% profit and I have 99.79% change to win money the first year.

Documentation

You need more information about how the simulation work? You would like to contribute ?

Look at the documentation

License

MIT