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The Schism strategy is a trading strategy implemented as a class. It is used for backtesting trading strategies on a website. Here's a breakdown of what the strategy does:
Indicator Calculation:
The strategy calculates various technical indicators such as Rate of Change (ROC), Moving Average Convergence Divergence (MACD), Streak, Relative Strength Index (RSI), and the Relative Momentum Index (RMI).
These indicators are calculated using different parameters and time periods.
Pair and Stake Currency: If the stake currency is either BTC or ETH, the strategy extracts the coin and stake from the metadata.
It retrieves the RSI values for the coin/fiat and stake/fiat pairs at a specific time period. It also retrieves the RMI value for the stake/fiat pair at a different time frame. Informative Pair: The strategy retrieves an informative pair based on the metadata. It calculates the RSI indicator for the informative pair at a specific time period. Buy Trigger Signals: The strategy defines conditions for triggering a buy signal. If there is an active trade, it checks conditions related to profit factor, RMI trend, and current profit. If there is no active trade, it checks conditions related to RSI, MP, streak-ROC, and MACD. Sell Trigger Signals: The strategy defines conditions for triggering a sell signal. If there is an active trade, it checks conditions related to current profit, stop loss, RMI trend, and volume. If there are other trades, it checks conditions related to average other profit and the biggest loser. If there are no other trades, it checks the condition related to volume. Custom Methods: The strategy includes custom methods for handling live trade data and real-time price. It retrieves trade data for the current pair, including information about the active trade, other trades, current profit, peak profit, open minutes, and open candles. It calculates the average profit of other trades and determines if the current trade is the biggest loser. This description provides a general overview of the Schism trading strategy and its key components.
These indicators are calculated using different parameters and time periods.
Pair and Stake Currency: If the stake currency is either BTC or ETH, the strategy extracts the coin and stake from the metadata.
It retrieves the RSI values for the coin/fiat and stake/fiat pairs at a specific time period. It also retrieves the RMI value for the stake/fiat pair at a different time frame. Informative Pair: The strategy retrieves an informative pair based on the metadata. It calculates the RSI indicator for the informative pair at a specific time period. Buy Trigger Signals: The strategy defines conditions for triggering a buy signal. If there is an active trade, it checks conditions related to profit factor, RMI trend, and current profit. If there is no active trade, it checks conditions related to RSI, MP, streak-ROC, and MACD. Sell Trigger Signals: The strategy defines conditions for triggering a sell signal. If there is an active trade, it checks conditions related to current profit, stop loss, RMI trend, and volume. If there are other trades, it checks conditions related to average other profit and the biggest loser. If there are no other trades, it checks the condition related to volume. Custom Methods: The strategy includes custom methods for handling live trade data and real-time price. It retrieves trade data for the current pair, including information about the active trade, other trades, current profit, peak profit, open minutes, and open candles. It calculates the average profit of other trades and determines if the current trade is the biggest loser. This description provides a general overview of the Schism trading strategy and its key components.
startup_candle_count : 72 pcc-lowerband: 0.160% pcc-upperband: 0.395% rmi: -0.468% rsi_4h: 0.046%
Biased Indicators
streak-roc
Traceback (most recent call last): File "/freqtrade/freqtrade/strategy/strategy_wrapper.py", line 27, in wrapper return f(*args, **kwargs) ^^^^^^^^^^^^^^^^^^ File "/freqtrade/user_data/strategies/Schism_Badstreak2.py", line 366, in confirm_trade_entry current_price = ob[f"{bid_strategy['price_side']}s"][0][0] ~~~~~~~~~~~~^^^^^^^^^^^^^^ KeyError: 'price_side'
stoploss: -0.3 timeframe: 15m hash(sha256): bbb778515a9b15e748bfa440542de3d990d1414fe00ab504bf4954614c4a6d4e indicators: active_trade xtffiatrsi mac xtfstakersi rmibelow close rmiabove free_slots open_candles rmidntrend f"stake_rsi other_trades meta mp avg_other_profit volume infrsi2 price_side streak xinfstakermi rmiuptrend streakroc rmi pcclowerband high current_profit infrsi1 max_open_trades price open_minutes upperband middleband lowerband f"fiat_rsi roc stake_currency rmidn biggest_loser peak_profit rsi pccupperband rmiup runmode last low source_type
No similar strategies found. (based on used indicators)
last change: 2023-10-26 02:21:05