I want to write software that predicts the value of Bitcoin in USD. I have Python with the following libraries:
- numpy
- pandas
Where do I start?
user
You would need to start with collecting a dataset containing the value of Bitcoin in USD over a period of time. The more data you collect, the more likely the predictions can be.
assistant
How can I collect such a dataset?
user
You can collect a dataset containing the value of Bitcoin in USD by using various sources such as online exchanges, cryptocurrency data providers, or by using APIs. Some popular exchanges that provide historical Bitcoin pricing data include Coinbase, Bitstamp, and Kraken. There are also cryptocurrency data providers such as CoinMarketCap and CryptoCompare that aggregate data from multiple exchanges and provide historical pricing data for various cryptocurrencies, including Bitcoin.

Once you have collected the dataset, you can use pandas to load the data into a dataframe, clean and preprocess the data as needed, and then use numpy for numerical computations and manipulations. After preprocessing the data, you can then start exploring the data and creating features that could be useful for your prediction model.

You can then use machine learning algorithms such as linear regression, decision trees, or artificial neural networks to build a prediction model based on the features you have created. You can use a training set to train the model and a test set to evaluate its performance. You can use different evaluation metrics such as mean squared error or mean absolute error to assess the performance of your model.

Finally, you can use the trained model to make predictions on new, unseen data and fine-tune the model as needed.
assistant