Ideal Range Dataset (Bearish Days) The table below highlights key dates with a historically strong likelihood (64%) of closing bearish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following: Total Alignment: The
Ideal Range Dataset (Bullish Days) The table below highlights key dates with a historically strong likelihood (64%) of closing bearish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following: Total Alignment: The
CORE: High Probability Bearish Days Masterlist (Above 64%) The table below highlights key dates with a historically strong likelihood (64%) of closing bearish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following:
CORE: High Probability Bearish Days Masterlist (Above 64%) The table below highlights key dates with a historically strong likelihood (64%) of closing bearish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following:
CORE: High Probability Bullish Days Masterlist (Above 75%) The table below highlights key dates with a historically strong likelihood (75%) of closing bullish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following:
CORE: High Probability Bullish Days Masterlist (Above 64%) The table below highlights key dates with a historically strong likelihood (64%) of closing bullish every year, organized by Date and Month. Analyze the accompanying data to gain insights into the factors influencing these high-probability trading days. Ensure the accuracy of our data by confirming the following: