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The provided code appears to be a part of a larger implementation for a backtesting website. It includes a class named SolipsisCon that inherits from the IStrategy class. Here's a short description of what the strategy does based on the provided code:
The populate_indicators method populates various technical indicators on the input dataframe, such as TEMA, EMA, Ichimoku, RSI, MACD, etc.
It also performs some calculations and merges additional informative data into the dataframe.
The populate_buy_trend method determines the conditions for generating a buy signal based on the strategy's parameters and the calculated indicators.
It checks for conditions such as RMI trend, consensus score, and additional conditions based on stake currency or BTC if applicable. The populate_sell_trend method determines the conditions for generating a sell signal based on the strategy's parameters and the calculated indicators. It checks for conditions such as consensus score and custom conditions for active trades. The code also includes a section for a custom stop loss, which calculates and returns a stop loss value based on different conditions and modes. Please note that the provided code is incomplete and lacks some context. A complete understanding of the strategy may require examining the rest of the codebase or additional information.
It also performs some calculations and merges additional informative data into the dataframe.
The populate_buy_trend method determines the conditions for generating a buy signal based on the strategy's parameters and the calculated indicators.
It checks for conditions such as RMI trend, consensus score, and additional conditions based on stake currency or BTC if applicable. The populate_sell_trend method determines the conditions for generating a sell signal based on the strategy's parameters and the calculated indicators. It checks for conditions such as consensus score and custom conditions for active trades. The code also includes a section for a custom stop loss, which calculates and returns a stop loss value based on different conditions and modes. Please note that the provided code is incomplete and lacks some context. A complete understanding of the strategy may require examining the rest of the codebase or additional information.
stoploss: -0.3 timeframe: 5m hash(sha256): 4ce1ee4cb639a5183a74dbee26ab88fe5e00b0b88aeb9b564d85ff8311821986 indicators: sell active_trade infpctadrtop postraildist decaydelay xtrabasefiatrmi dynamic_roi_enabled close xtrabasestakermi dynamic_roi_rate xbtcconsensusbuy free_slots xtrainfstakermi open_candles consensus_sell other_trades buy_params avg_other_profit decayend linear exponential connect volume price_side f"stake_rmi dynamic_roi_type infpctadrbot dynamic_roi_time rmiuptrend consensussell curmindif mode BTC_consensus_buy curthreshold dynamic_roi_start decaystart 1d_high posthreshold f"fiat_rmi current_pro
No similar strategies found. (based on used indicators)
last change: 2022-09-21 20:49:32