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Name: XBT3K
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Name: XBT3K
Type: User
Python algorithm for trading the EUR/USD forex pair using a mean reversion strategy. The algorithm retrieves price data from OANDA's API, calculates the z-score of the closing prices, and executes a trade if the z-score is above a certain threshold (indicating an overbought condition) or below a certain threshold (indicating an oversold condition
This is a modified mean reversion trading strategy that generates buy and sell signals based on the relative strength index (RSI) and moving average (MA) of the EUR/USD currency pair on a 1-minute timeframe.
This Python code calculates and plots a mean reversion indicator for EURUSD price data, using the pandas, numpy, and matplotlib libraries. The mean reversion strategy helps identify potential reversals in price, and the indicator can be adjusted to suit different timeframes. Ideal for traders looking to validate their strategies.
The code is a EUR/USD algorithm that uses moving averages and the On-Balance Volume (OBV) and Chaikin Money Flow (CMF) indicators to buy or sell the currency pair. It retrieves historical data, calculates indicators, and executes trades based on price crossing the moving average and OBV/CMF signals.
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