Not Enough Data to display!
Average Overall
| Not Enough Data! / Avg statistics not populated yet. |
|---|
The E0V1E strategy is a trading strategy implemented in the backtesting website. Here is a short description of what the strategy does:
The strategy uses a 5-minute timeframe for analyzing price data. It processes only new candles and requires a startup candle count of 120.
The order types for entry, exit, emergency exit, force entry, force exit, and stop loss are set to 'market'.
The strategy has a minimal return on investment (ROI) of 10%.
It uses custom stop loss and sets a value of -0.99 as the initial stop loss. The strategy calculates various indicators such as Bollinger Bands, moving averages, and relative strength index (RSI) using different time periods. It identifies potential entry points based on specific conditions involving RSI values, moving averages, and other indicators. The strategy includes a custom stop loss mechanism that considers the current price and profit to determine the stop loss value. It defines an exit trend that exits any open positions and marks them as 'long_out'. Overall, the strategy aims to identify buy signals based on multiple indicators and uses a custom stop loss mechanism to manage risk.
The order types for entry, exit, emergency exit, force entry, force exit, and stop loss are set to 'market'.
The strategy has a minimal return on investment (ROI) of 10%.
It uses custom stop loss and sets a value of -0.99 as the initial stop loss. The strategy calculates various indicators such as Bollinger Bands, moving averages, and relative strength index (RSI) using different time periods. It identifies potential entry points based on specific conditions involving RSI values, moving averages, and other indicators. The strategy includes a custom stop loss mechanism that considers the current price and profit to determine the stop loss value. It defines an exit trend that exits any open positions and marks them as 'long_out'. Overall, the strategy aims to identify buy signals based on multiple indicators and uses a custom stop loss mechanism to manage risk.
ackages/pandas/core/series.py", line 1040, in __getitem__ return self._get_value(key) ^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/series.py", line 1156, in _get_value loc = self.index.get_loc(label) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/ftuser/.local/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 3798, in get_loc raise KeyError(key) from err KeyError: 'btc_btc_close_1d'
stoploss: -0.99 timeframe: 5m hash(sha256): a8fe2b86386f39b6b8e65ba22e54e9d5a5b37ec764d80583af436b2eabfa8f05 indicators: ma120 mid rsi_slow stake_currency close rsi exit_long exit_tag bollmid fastk cti rsi_fast sma_15
No similar strategies found. (based on used indicators)
last change: 2024-07-28 20:16:04