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The Stinkfist strategy is a trading strategy implemented in a backtesting website. Here is a brief description of what the strategy does:
The strategy begins by populating various indicators on the trading data, such as RMI (Relative Momentum Index), MAC (Moving Average Crossover), streak, PCC (Percentage Channel Crossover), ROC (Rate of Change), and MP (Moving Average of ROC). These indicators are calculated based on specific parameters and formulas.
Next, the strategy defines conditions for triggering a buy signal.
If there is an active trade, it considers factors such as RMI trend, current profit, and peak profit.
If there is no active trade, it considers conditions such as price relative to the low of the previous 3 days, MP value, streak-ROC relationship, and MAC value. The strategy also checks for positive volume. For sell signals, the strategy again considers an active trade and conditions related to profit, RMI trend, and volume. It also takes into account other trades and their profitability, including the biggest loser. If there are no other trades, it checks for negative volume. The strategy includes additional custom methods to handle trade data, such as retrieving active trades, calculating profit ratios, and determining open minutes and candles. It also includes a method to fetch the current price, either from a cache or using order book or ticker data. Lastly, the strategy defines custom indicators, although the details of these indicators are not provided in the code snippet. Overall, the Stinkfist strategy combines various technical indicators and conditions to generate buy and sell signals based on the analyzed trading data.
Next, the strategy defines conditions for triggering a buy signal.
If there is an active trade, it considers factors such as RMI trend, current profit, and peak profit.
If there is no active trade, it considers conditions such as price relative to the low of the previous 3 days, MP value, streak-ROC relationship, and MAC value. The strategy also checks for positive volume. For sell signals, the strategy again considers an active trade and conditions related to profit, RMI trend, and volume. It also takes into account other trades and their profitability, including the biggest loser. If there are no other trades, it checks for negative volume. The strategy includes additional custom methods to handle trade data, such as retrieving active trades, calculating profit ratios, and determining open minutes and candles. It also includes a method to fetch the current price, either from a cache or using order book or ticker data. Lastly, the strategy defines custom indicators, although the details of these indicators are not provided in the code snippet. Overall, the Stinkfist strategy combines various technical indicators and conditions to generate buy and sell signals based on the analyzed trading data.
startup_candle_count : 1000 Recursive Analysis found no issues while using 1000 startup_candle_count
Biased Indicators
streak-rocBiased Entry Signals:
1Biased Exit Signals:
2
stoploss: -0.4 timeframe: 5m hash(sha256): 026a118b0961d1d83b1553999ed66e8d85f14cd8118fb9b7a6631d47e52bb5c6 indicators: active_trade mac rmifast close free_slots open_candles rmidntrend other_trades meta mp avg_other_profit volume price_side streak rmiuptrend streakroc pcclowerband infpctadr high 1d_high current_profit rmislow max_open_trades price open_minutes 3d_low upperband middleband lowerband roc rmidn biggest_loser peak_profit rmiup runmode last low source_type adr
Similar Strategies: (based on used indicators)
Strategy: Schism_Badstreak, Similarity Score: 82.5%
Strategy: Schism_Badstreak2, Similarity Score: 82.5%
last change: 2023-07-04 04:43:43