Predicting XAG/USD market time series with fbprophet (Facebook Prophet library)



y=Price of Silver in USD x=timeline in days, 23/11/2017 onwards is the prediction

In this blog post we are going to explore Facebook's fbprophet library available on Python and R to predict the price of Silver in USD using data from investing.com

More information about Prophet: https://facebook.github.io/prophet/
The dataset can be downloaded at: https://www.investing.com/currencies/xag-usd-historical-data
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It is straightforward to use the library as shown below and the installation can be done with pip install fbprophet.

Next Post

If predicting the market is of interest to you then be sure to subscribe. In the next blog post we will backtest the algorithm to see how if we can make some money of it! Cheers and see you!

Next blog post is here! https://therandomtechadventure.blogspot.com/2017/11/backtesting-xagusd-silver-price.html

Comments

  1. this lib makes prediction to look pretty simple!!

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    Replies
    1. Yes the simplest I have seen so far. Its model also is not complicated. The paper is available on the website. :)

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