The SqueezeMomentum strategy is a trading strategy that utilizes various technical indicators to identify potential buy and sell signals in the market. Here is a breakdown of what the strategy does:
The strategy populates several technical indicators on the given DataFrame, including SMA (Simple Moving Average), EMA (Exponential Moving Average), TEMA (Triple Exponential Moving Average), MACD (Moving Average Convergence Divergence), MFI (Money Flow Index), ADX (Average Directional Index), and others. It calculates Bollinger Bands and Keltner Channels, which are used to determine the upper and lower boundaries of price volatility.
The strategy calculates the upper and lower boundaries for Donchian Channels, which represent the highest and lowest prices over a specified period.
It calculates Fibonacci levels based on the Donchian Channels.
The strategy calculates the squeeze conditions by comparing the Bollinger Bands with the Keltner Channels. It calculates the delta and value of the squeeze indicator, which represents the difference between the closing price and the average of Donchian Channels and TEMA. The strategy calculates the angle and acceleration of the squeeze indicator. The strategy determines the entry trend based on various conditions, including ADX, MFI, EMA, MACD, Bollinger Bands, and the squeeze indicator. It determines the exit trend based on conditions such as SAR (Stop and Reverse), Donchian Channels, and the squeeze indicator. The strategy includes additional conditions for selling, such as Fisher RSI and SAR. Overall, the SqueezeMomentum strategy aims to identify potential buying and selling opportunities by analyzing multiple technical indicators and squeeze conditions in the market.
The strategy calculates the upper and lower boundaries for Donchian Channels, which represent the highest and lowest prices over a specified period.
It calculates Fibonacci levels based on the Donchian Channels.
The strategy calculates the squeeze conditions by comparing the Bollinger Bands with the Keltner Channels. It calculates the delta and value of the squeeze indicator, which represents the difference between the closing price and the average of Donchian Channels and TEMA. The strategy calculates the angle and acceleration of the squeeze indicator. The strategy determines the entry trend based on various conditions, including ADX, MFI, EMA, MACD, Bollinger Bands, and the squeeze indicator. It determines the exit trend based on conditions such as SAR (Stop and Reverse), Donchian Channels, and the squeeze indicator. The strategy includes additional conditions for selling, such as Fisher RSI and SAR. Overall, the SqueezeMomentum strategy aims to identify potential buying and selling opportunities by analyzing multiple technical indicators and squeeze conditions in the market.
stoploss: 0 timeframe: 5m hash(sha256): 4f67a4562e025a4bec85b7c601fae169dc49e4452199a5aaa9490046d7880a68 indicators: upper sqz_off dc_lf tema sqz_on kc_lower close dm_delta dc_h mfi bb_lowerband ema5 sqz_lower bb_gain dc_hf macdhist sqz_accel sma sqz_delta dc_cl open dm_plus ema10 sar sqz_val high macdsignal ema mid fisher_rsi dc_upper dc_lower dc_clf macd dc_ch dc_mid ema3 dc_dist dc_chf sqz_a sqz_angle adx lower kc_middle kc_upper dc_l rsi bb_upperband low sqz_of dm_minus sqz_ave bb_mid sqz_upper
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last change: 2024-07-27 23:09:56