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The EMA50 strategy is a trading strategy that uses several technical indicators to generate buy and sell signals. Here's a brief description of what the strategy does:
populate_indicators function:
Calculates the Relative Strength Index (RSI) indicator and adds it to the dataframe. Calculates the Moving Average Convergence Divergence (MACD) indicator and adds its components (MACD line, signal line, and histogram) to the dataframe.
Calculates the Bollinger Bands indicator and adds the lower band, middle band, upper band, percentage deviation from the lower band, and band width to the dataframe.
Calculates the 50-day Exponential Moving Average (EMA) and adds it to the dataframe.
Returns the dataframe with all the calculated indicators. populate_buy_trend function: Based on the indicators, identifies the conditions for a buy signal. Conditions include positive volume and the price crossing above the 50-day EMA. If the conditions are met, sets the 'buy' column of the dataframe to 1 for the corresponding rows. Returns the updated dataframe. populate_sell_trend function: Based on the indicators, identifies the conditions for a sell signal. Conditions include the price crossing below the 50-day EMA. If the conditions are met, sets the 'sell' column of the dataframe to 1 for the corresponding rows. Returns the updated dataframe. The strategy uses these indicators to generate buy and sell signals, which can be used for backtesting trading strategies on the website.
Calculates the Bollinger Bands indicator and adds the lower band, middle band, upper band, percentage deviation from the lower band, and band width to the dataframe.
Calculates the 50-day Exponential Moving Average (EMA) and adds it to the dataframe.
Returns the dataframe with all the calculated indicators. populate_buy_trend function: Based on the indicators, identifies the conditions for a buy signal. Conditions include positive volume and the price crossing above the 50-day EMA. If the conditions are met, sets the 'buy' column of the dataframe to 1 for the corresponding rows. Returns the updated dataframe. populate_sell_trend function: Based on the indicators, identifies the conditions for a sell signal. Conditions include the price crossing below the 50-day EMA. If the conditions are met, sets the 'sell' column of the dataframe to 1 for the corresponding rows. Returns the updated dataframe. The strategy uses these indicators to generate buy and sell signals, which can be used for backtesting trading strategies on the website.
stoploss: -0.333 timeframe: 5m hash(sha256): d62465f056d7f0c715b598389abb3203359fc5ee91e2a5609c3286331979aad2 indicators: macdsignal upper mid lower volume bb_width bb_middleband rsi close macd bb_lowerband bb_upperband bb_percent ema50 macdhist
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last change: 2024-04-29 00:17:49