Earnings Calendar
I always look for of stocks that fall in a particular price range and those that are due in 15 - 30 days. This visual view is exactly built to serve that purpose. And then you notice red and green color coded bars in the chart. Well that color is my custom built ensemble model using Python, Pandas and supporting libraries. The model flag "Up" or "down" indicates prediction about how a stock may perform during next market session.
Green Indicates : the stock will tick higher by at least 0.5% higher over prior session closing price.
Red Indicates : the stock is less likely to achieve even 0.5% growth above prior day close price.
Model Accuracy:
The model is trained using several technical indicators and performs at 80% accuracy levels. It means if you followed this system and placed 100 trades on the ticker symbols over a period of time using this model, about 80 of those trades will match prediction flag stated above.
Model Update Frequency:
I update my charts daily around 9:00 PM pacific time as APIs I use to get data are available after 9:00 PM pacific time.
If you like this idea and want to encourage me continue building my trading system, drop a note in the comments section below.
Green Indicates : the stock will tick higher by at least 0.5% higher over prior session closing price.
Red Indicates : the stock is less likely to achieve even 0.5% growth above prior day close price.
Model Accuracy:
The model is trained using several technical indicators and performs at 80% accuracy levels. It means if you followed this system and placed 100 trades on the ticker symbols over a period of time using this model, about 80 of those trades will match prediction flag stated above.
Model Update Frequency:
I update my charts daily around 9:00 PM pacific time as APIs I use to get data are available after 9:00 PM pacific time.
If you like this idea and want to encourage me continue building my trading system, drop a note in the comments section below.
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