Bitcoin made me rich. But consider the guy who sold the two
pizzas to Laszlo Hanyecz for 10,000 BTC (~$0.0025/BTC). If the
seller waited just 4 years a $25 investment would have turned
into $10 million — a nice 500,000 x reward. But what if he
would have excitedly sold it all (he did) when the price first
doubled? Then instead of millions, he would have netted $25.
So, how do we know when to sell our Bitcoin?
Worse than not making money is actually losing money with Bitcoin. Buying at the top and selling low is the fate of many who do not have a strategy or understanding of their actions, but that’s not for us.
The enshitification of software is inevitable as its popularity rises founders will eventually need to bring in outside help and either sell or go public, either is enough to kill a good company. The orange traffic cone is different, defiant yet innocent, unassuming yet indomitable. The first time you downloaded VLC maybe you were like me, fifteen, just heard of this show called South Park making the rounds on AOL. Real Player sucked, so you Asked Jeeves, whats a good media player?
It can take real estate agents a lifetime of experience to
get a feel for what homes will sell and for how much. A lot of
the time a less experienced seller or buyer may miss something
obvious to an old pro.
With this exercise I will try and tease out from 79 explanatory variables that describe every aspect of residential home, which few are the most important to focus on in predicting a final sale price of a home.
It certainly seems that online forums can have a certain
premonition about price movements. As chatter of a given asset
increases, often so does the price. This is the hunch I wanted
to validates and if correct, profit from with this project. I
hope some parts of if not the whole project will be useful to
others and it is hosted on GitHub and PythonAnywhere. Please
get in touch with any questions or advice.
Using a large amount of data scraped hourly from Reddit along with historic price data a model is built to try and predict positive or negative future price movements.