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The stock market is unpredictable which makes it very difficult to come up with a model to predict the prices. There are many internal and external factors such as geopolitical news, economic data, unemployment data, and company fundamentals that impact stock prices. This research is not intended to predict any future prices for long term growth…

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databinary/MomentumStockPricePrediction

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MomentumStockPricePrediction

Various prediction models are being in use today to predict long term stock prices. But not all of these models are successful. As part of this research, the day to day fluctuations in momentum stocks is taken into consideration to determine the entry and exit price in the short term. Momentum stocks swing a lot every day. So when entered within the correct price range, a good profit can be made upon exit. However, it is easy to lose money when the stock price goes down because the momentum stocks fluctuate in the opposite direction with the same velocity. So, the main purpose of this study is to take three fundamentally strong companies (SHOPIFY, AMZN, TESLA,) and focus on the stock entry price, peak price, close price, and overall stock growth to identify the price range for profitable entry.

Languages:

Python

Limitations

This study uses three fundamentally strong companies for research and may not be applied to other company stocks. This model cannot be used as investment guidance or professional advice. This study is just based on historical price action

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The stock market is unpredictable which makes it very difficult to come up with a model to predict the prices. There are many internal and external factors such as geopolitical news, economic data, unemployment data, and company fundamentals that impact stock prices. This research is not intended to predict any future prices for long term growth…

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