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The "Examplestrategy1" is a trading strategy that uses technical analysis indicators to generate buy and sell signals for cryptocurrencies. Here's a breakdown of what the strategy does:
It defines a set of minimal return on investment (ROI) targets for the strategy, indicating the desired profit percentages at different time intervals. It sets a stop-loss value, which represents the maximum acceptable loss before selling a position.
It specifies the ticker interval, which determines the timeframe for analyzing price data (e.g., 5 minutes).
It allows for a trailing stop-loss feature, where the stop-loss value adjusts as the price moves in a profitable direction.
It can choose to process indicators only for new candles, reducing unnecessary computation. It includes experimental settings that can be overridden in the configuration file, such as using a sell signal, considering only profits for selling, or ignoring ROI when a buy signal is present. It defines the order types for executing trades, specifying limit orders for buying and selling, and market orders for stop-loss. It provides a method to define additional informative pairs and intervals for caching data from the exchange, but these pairs are not directly tradable. It implements a function called "populate_indicators" that calculates various technical analysis indicators, such as exponential moving averages (EMA) with different time periods and Heikin Ashi candlestick data. It implements a function called "populate_buy_trend" that generates a buy signal based on specific conditions, including EMA crossover, the closing price above the EMA, and a bullish Heikin Ashi candlestick pattern. It implements a function called "populate_sell_trend" that generates a sell signal based on specific conditions, including EMA crossover in the opposite direction, the closing price below the EMA, and a bearish Heikin Ashi candlestick pattern. Overall, this strategy aims to identify potential buying and selling opportunities based on the selected technical indicators and candlestick patterns.
It specifies the ticker interval, which determines the timeframe for analyzing price data (e.g., 5 minutes).
It allows for a trailing stop-loss feature, where the stop-loss value adjusts as the price moves in a profitable direction.
It can choose to process indicators only for new candles, reducing unnecessary computation. It includes experimental settings that can be overridden in the configuration file, such as using a sell signal, considering only profits for selling, or ignoring ROI when a buy signal is present. It defines the order types for executing trades, specifying limit orders for buying and selling, and market orders for stop-loss. It provides a method to define additional informative pairs and intervals for caching data from the exchange, but these pairs are not directly tradable. It implements a function called "populate_indicators" that calculates various technical analysis indicators, such as exponential moving averages (EMA) with different time periods and Heikin Ashi candlestick data. It implements a function called "populate_buy_trend" that generates a buy signal based on specific conditions, including EMA crossover, the closing price above the EMA, and a bullish Heikin Ashi candlestick pattern. It implements a function called "populate_sell_trend" that generates a sell signal based on specific conditions, including EMA crossover in the opposite direction, the closing price below the EMA, and a bearish Heikin Ashi candlestick pattern. Overall, this strategy aims to identify potential buying and selling opportunities based on the selected technical indicators and candlestick patterns.
stoploss: -0.1 timeframe: 5m hash(sha256): d02c896e708a292e91a00ca493b8e2bbc52322c14d8c25e7b177c06d225afb91
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last change: 2023-04-21 10:54:04