This project is a fast delivery representation for predictive analysis of asset values and aims to present the application of Prophet for non-linear time series forecasting.
Applied technologies:
Bollinger Bands use a measure, the standard deviation, to establish the most likely "point" to find a support and resistance level on a price chart. This is a specific use of a broader concept known as a volatility channel. A volatility channel draws lines above and below a central price measure on trading charts. These lines, also known as envelopes or bands, increase and contract according to the volatility, or not, of the observed market.
Bollinger Bands measure market volatility and provide a lot of useful information such as:
- The continuation or reversal of the market trend
- Market consolidation periods
- The periods of the next major volatility breakouts
- Possible highs and lows of the market, and potential price targets
Yahoo!
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yfinance is not affiliated, endorsed, or vetted by Yahoo, Inc. It's an open-source tool that uses Yahoo's publicly available APIs, and is intended for research and educational purposes.
see more in: https://policies.yahoo.com/us/en/yahoo/terms/product-atos/apiforydn/index.htm
ps.: This project is not intended to guide, advise or indicate the marking of cryptocurrencies for purchase and/or sale, nor is it intended to analyze the commercial situation of companies. The main objective of this work is to present my technical skills in data processing and analysis, as well as in the implementation of machine learning algorithms.