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The Schism strategy is a trading strategy that involves the use of various indicators to generate buy and sell signals. Here is a breakdown of its main components:
Indicator Population:
The strategy populates several indicators on the given dataframe, including RMI (Relative Momentum Index), ROC (Rate of Change), and RSI (Relative Strength Index) for different time periods. It also retrieves additional indicator data for informative pairs and calculates their RSI, 1-day high, 3-day low, and average daily range (ADR).
Buy Trigger Signals: The strategy defines conditions for generating buy signals.
If there is an active trade, it checks for certain criteria such as the current profit, RMI trend, and specific profit factor.
If there is no active trade, it checks for conditions including price, RSI, RMI trend, and momentum to trigger a new buy signal. Additional conditions related to stake currency, fiat currency, and volume may apply. Sell Trigger Signals: The strategy defines conditions for generating sell signals. If there is an active trade, it checks for criteria such as the current profit, loss cutoff, RMI trend, and volume to trigger a sell signal. If there are other trades, it considers factors like average other profit and the number of free slots to determine whether to sell. Conditions related to volume may also apply. Custom Methods: The strategy includes some custom methods and calculations. It keeps track of trade-specific data such as active trades, open minutes, current profit, peak profit, and open candles. It retrieves information about other open trades and calculates their profits. Overall, the Schism strategy combines various indicators and conditions to generate buy and sell signals based on the market conditions and trade-specific parameters.
Buy Trigger Signals: The strategy defines conditions for generating buy signals.
If there is an active trade, it checks for certain criteria such as the current profit, RMI trend, and specific profit factor.
If there is no active trade, it checks for conditions including price, RSI, RMI trend, and momentum to trigger a new buy signal. Additional conditions related to stake currency, fiat currency, and volume may apply. Sell Trigger Signals: The strategy defines conditions for generating sell signals. If there is an active trade, it checks for criteria such as the current profit, loss cutoff, RMI trend, and volume to trigger a sell signal. If there are other trades, it considers factors like average other profit and the number of free slots to determine whether to sell. Conditions related to volume may also apply. Custom Methods: The strategy includes some custom methods and calculations. It keeps track of trade-specific data such as active trades, open minutes, current profit, peak profit, and open candles. It retrieves information about other open trades and calculates their profits. Overall, the Schism strategy combines various indicators and conditions to generate buy and sell signals based on the market conditions and trade-specific parameters.
startup_candle_count : 72 rmi-slow: -1.267% rmi-fast: -0.001% mp: 0.029% rsi_1h: -0.012%
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.py", line 420, in confirm_trade_entry current_price = ob[f"{bid_strategy['price_side']}s"][0][0] ~~~~~~~~~~~~^^^^^^^^^^^^^^ KeyError: 'price_side'
stoploss: -0.3 timeframe: 5m hash(sha256): b03ad0828707ec9c86621dbb967a739dde9ea42b087ee902c866e2cdcf6669b2 indicators: active_trade xtffiatrsi xtfstakersi rmifast close infrsi free_slots open_candles rmidntrend f"stake_rsi other_trades meta mp avg_other_profit volume price_side xinfstakermi rmiuptrend infpctadr 1d_high current_profit rmislow max_open_trades price open_minutes 3d_low f"fiat_rsi roc stake_currency rmidn biggest_loser peak_profit rsi rmiup runmode last adr
Similar Strategies: (based on used indicators)
Strategy: Schism_v2, Similarity Score: 94.74%
Strategy: Schism_0318, Similarity Score: 89.47%
Strategy: Schism_v1_4, Similarity Score: 84.21%
Strategy: Schism_Badstreak2, Similarity Score: 81.58%
last change: 2023-10-22 21:55:34