π Every Quant Beginner Starts with a Basic EMA Strategy! π
If you're diving into algorithmic trading, one of the simplest yet powerful strategies to start with is the Exponential Moving Average (EMA) Crossover Strategy.
In our basic setup:
πΉ EMA10 crosses above EMA50 β Buy Signal
πΉ EMA10 crosses below EMA50 β Sell Signal
But is this strategy profitable? π€
To evaluate, we must backtest it against historical data and compare Buy-and-Hold Returns vs. Strategy Returns π.
π Backtesting on Multiple Periods
A single backtest isnβt enough! We need to test the strategy across different time periods to gauge its reliability under various market conditions.
π Optimization is Key!
The real power lies in optimizing the EMA crossover strategy by:
β Trying different EMA lengths: EMA5, EMA10, EMA20, EMA50
β Testing on different timeframes: 1-min, 1-hour, daily, weekly
β Finding the best combination for specific stocks or crypto assets
π‘ Key Findings:
Some stocks & crypto pairs work best with shorter EMAs (like 5 & 20)
Others respond better to longer EMAs (like 20 & 50)
The effectiveness depends on market trends and volatility
DOC:- https://docs.google.com/document/d/18YUNPSq8zRTGm6i8_rX5ajXo365X_AHilaydBg-mb2Y/edit?usp=sharing