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The "s_sniperhyper" strategy is designed for backtesting trading strategies on a website. Here's a breakdown of what the strategy does:
In the "populate_indicators" method, the strategy calculates and adds several technical indicators to the input dataframe. These indicators include VFI (Volume Flow Indicator), Aroon (Aroon Up and Aroon Down), TD Sequential count, EMA200 (Exponential Moving Average), VWMACD (Volume Weighted Moving Average Convergence Divergence), and TKE (True Keltner Channel).
In the "populate_buy_trend" method, the strategy determines the conditions for buying an asset based on the populated indicators.
The conditions include crossing above VFI/VFIMA, crossing above VWMACD/VWMACDS, crossing above TKE with a specified value, crossing above Aroon Up with a specified value, crossing above Aroon Down with a specified value, crossing above the EMA200, and ensuring positive volume.
If any of these conditions are met, a "buy" signal is generated for the corresponding data points. In the "populate_sell_trend" method, the strategy determines the conditions for selling an asset based on the populated indicators. The conditions include crossing below TKE with a specified value, crossing above Aroon Down with a specified value, and ensuring positive volume. If any of these conditions are met, a "sell" signal is generated for the corresponding data points. Overall, the strategy combines multiple technical indicators and their respective conditions to generate buy and sell signals for backtesting trading strategies.
In the "populate_buy_trend" method, the strategy determines the conditions for buying an asset based on the populated indicators.
The conditions include crossing above VFI/VFIMA, crossing above VWMACD/VWMACDS, crossing above TKE with a specified value, crossing above Aroon Up with a specified value, crossing above Aroon Down with a specified value, crossing above the EMA200, and ensuring positive volume.
If any of these conditions are met, a "buy" signal is generated for the corresponding data points. In the "populate_sell_trend" method, the strategy determines the conditions for selling an asset based on the populated indicators. The conditions include crossing below TKE with a specified value, crossing above Aroon Down with a specified value, and ensuring positive volume. If any of these conditions are met, a "sell" signal is generated for the corresponding data points. Overall, the strategy combines multiple technical indicators and their respective conditions to generate buy and sell signals for backtesting trading strategies.
stoploss: -0.252 timeframe: 15m hash(sha256): 6d9ee02972a542042eee34c0e191f760bbc6955c295fc6870051f2835c0becbc
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last change: 2022-07-02 19:54:08