https://github.com/coasensi/movingaverage-strategy
C# Moving Average Trading Strategy Backtest using AlphaVantage API
https://github.com/coasensi/movingaverage-strategy
algorithmic-trading c-sharp moving-average
Last synced: 6 months ago
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C# Moving Average Trading Strategy Backtest using AlphaVantage API
- Host: GitHub
- URL: https://github.com/coasensi/movingaverage-strategy
- Owner: coasensi
- License: mit
- Created: 2024-08-06T22:10:11.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-18T16:18:14.000Z (almost 2 years ago)
- Last Synced: 2025-01-22T18:24:59.639Z (over 1 year ago)
- Topics: algorithmic-trading, c-sharp, moving-average
- Language: C#
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
the moving average crossover strategy is a popular trading strategy used to identify potential buy and sell signals in financial markets.
2 key components: a short-term moving average (SMA) and a long-term moving average (LMA). the SMA captures recent price trends, while the LMA reflects longer-term trends.
##BUY signal:## when the SMA crosses above the LMA, the short-term price trend is gaining momentum and might continue to rise. this is interpreted as a bullish signal, suggesting it's a good time to buy the asset.
##SELL signal:## when the SMA crosses below the LMA,the short-term price trend is losing momentum and might continue to fall. this is interpreted as a bearish signal, suggesting it's a good time to sell the asset.
You need to input your alpha vantage api key, as well as the backtest ticker and the periods for SMA and LMA.