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The Saturn5 trading strategy, implemented as a class, performs technical analysis on a given dataframe of financial data. It populates various indicators based on the input parameters provided. In the populate_indicators method, the strategy calculates and adds the following indicators to the dataframe:
Short-term exponential moving averages (s1_ema_xs, s1_ema_sm, s1_ema_md, s1_ema_xl, s1_ema_xxl)
s2_ema, calculated based on the input time period and offset values
s2_ema_xxl_off, calculated as a modified version of s2_ema_xxl using a Fibonacci lower value
s2_ema_xxl, a simple moving average calculated over a fixed time period
s2_bb_std_dev_value, standard deviation for s2_bb_lower_band calculations
s2_bb_lower_band, lower Bollinger Band calculated using a simple moving average and a standard deviation offset
s2_fib_lower_band, a Fibonacci lower band calculated using a simple moving average and an average true range offset
s3_bb_lowerband, the lower band of Bollinger Bands calculated using a typical price and a window size of 20
The populate_buy_trend method populates the "buy" column of the dataframe based on specific buy signals.
The buy signals are determined by various conditions: buy_signal_1: The conditions include checking for a crossover of vwmacd below the signal, the low price being below s1_ema_xxl, the close price being below s1_ema_xxl, a crossover of s1_ema_sm above s1_ema_md, and positive volume.
buy_signal_2: The conditions include checking for a crossover of s2_fib_lower_band above s2_bb_lower_band, the close price being below s2_ema, and positive volume.
buy_signal_3: The conditions include checking for the low price being below s3_bb_lowerband, the low price being above s1_ema_xxl, and positive volume. If any of the buy signals are not enabled, the corresponding buy column values are set to 0. The populate_sell_trend method sets the "sell" column values of the dataframe to 0 for all rows. Overall, the Saturn5 strategy utilizes various indicators and buy signals to determine the appropriate times to buy assets based on the provided financial data.
The buy signals are determined by various conditions: buy_signal_1: The conditions include checking for a crossover of vwmacd below the signal, the low price being below s1_ema_xxl, the close price being below s1_ema_xxl, a crossover of s1_ema_sm above s1_ema_md, and positive volume.
buy_signal_2: The conditions include checking for a crossover of s2_fib_lower_band above s2_bb_lower_band, the close price being below s2_ema, and positive volume.
buy_signal_3: The conditions include checking for the low price being below s3_bb_lowerband, the low price being above s1_ema_xxl, and positive volume. If any of the buy signals are not enabled, the corresponding buy column values are set to 0. The populate_sell_trend method sets the "sell" column values of the dataframe to 0 for all rows. Overall, the Saturn5 strategy utilizes various indicators and buy signals to determine the appropriate times to buy assets based on the provided financial data.
stoploss: -0.2 timeframe: 5m hash(sha256): 916824f746d7448d3f9817f23129003b6eb16099375aaa86faff761a3fa54ddd
Was not able to fetch indicators from Strategyfile.
last change: 2022-12-04 22:13:14