Prophet algo uses markov probabilities to get bullish and bearish probabilities for the day. Uses a custom machine learning algo which backtested gave a 75% win rate when trying to predict daily movements.

Definitions:

Positive day meaning : When the Closing price for the day is greater than the opening price

Negative day meaning : When the Closing price for the day is lower than the opening price

Markov model does not care about the intraday price movements, just the difference between opening and closing prices

If you would like to analyze intraday movements, use our technical tools, option chain and weekly stock forecasts to get further insights


ABT
Category: Positive
Bullish Probability: 82.35%
Bearish Probability: 17.65%
BALL
Category: Positive
Bullish Probability: 78.05%
Bearish Probability: 21.95%
FITB
Category: Negative
Bullish Probability: 24.49%
Bearish Probability: 75.51%
FSLR
Category: Negative
Bullish Probability: 26.67%
Bearish Probability: 73.33%
GPC
Category: Positive
Bullish Probability: 76.67%
Bearish Probability: 23.33%
PAYC
Category: Positive
Bullish Probability: 75.00%
Bearish Probability: 25.00%
VZ
Category: Negative
Bullish Probability: 15.00%
Bearish Probability: 85.00%
VFC
Category: Negative
Bullish Probability: 23.08%
Bearish Probability: 76.92%
ABTFSLRHarmonic PatternsTechnical IndicatorsmarkovchainSPDR S&P 500 ETF (SPY) Trend AnalysisTesla Motors (TSLA)VZ

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