Investment Thesis
Introduction
This thesis outlines the development and implementation of an Exponential Moving Average (EMA) based trading strategy applied to the stocks in the S&P 500 index. The strategy combines multiple EMAs and the Relative Strength Index (RSI) to generate buy and sell signals, ensuring robust decision-making in trading activities.
Strategy Overview
Objective
The primary objective of the EMA Moving Average Strategy is to capture significant upward and downward trends in stock prices by using a combination of short-term and long-term EMAs. This strategy aims to enter trades at the beginning of a strong trend and exit when the trend shows signs of reversal or weakening momentum.
Buy Condition: A buy signal occurs when:
- EMAs follow the order: EMA (9 > 15 > 65 > 150).
- Closing priceOF 35-period EMA > 60
Sell Condition: A sell signal occurs when:
- EMAs follow the order: EMA (9 < 15 < 65 < 150).
- Closing price of 35-period EMA < 40( for equity using this as liquidate)
Exit Conditions
After Buying:
- Liquidate if the 9-period or 15-period EMA crosses below the 65-period EMA.
- Liquidate if the RSI drops below 40 show weakness.
After Selling:
- Liquidate if the 9-period or 15-period EMA crosses above the 65-period EMA.
- Liquidate if the RSI rises above 60 show strength.
Quant League Competitions
Competition entry updated by Dharmraj Dhaker
Quant League Competitions
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