Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
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Updated
Sep 24, 2020 - Python
Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM
Financial analysis and demonstration of the classic algorithmic trading method, pair trading. This analysis compares the portfolio's growth with the underlying assets value and volatility over time.
Code for Hedging via Opinion-based Pair Trading Strategy
A pair-trading algorithm using cointegration, linear regression, and Z-score-based entry/exit rules. The strategy, applied to validated stock pairs, achieved consistent portfolio growth from $24,050 to $25,489.50 over 2 years through trading simulation.
Pair trading strategy integrates multiple components, including technical analysis indicators, machine learning models, and risk management techniques.
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