## The Lessons I Learned in Cryptoland

There are many cryptocurrencies which you can buy. Where should you even start? In this article, I will share the lessons I have learned over the past years with you. I think it is important to share these insights with you, since there are a lot of people out in cryptoland waiting for your money and they will tamper with your thoughts. If you have any important lesson, please share it and it will be added to this article.

Looking for new interesting investments ideas? Check out our Crypto Advisor service!

## What Is The Blockchain And Why Should You Care?

People that are just learning about Bitcoin often think that all transactions are anonymous, insecure and untraceable. After all, cryptocurrency transactions are barely regulated and are conducted over the Internet. However, the anonymous founders of Bitcoin developed a ledger system to track all Bitcoin transactions. This system is known as the blockchain.

Also interesting: this post which explains a new security threat based on blockchain. And this post describes a Python based cryptocoin history scraper.

## Maximize Profit and Minimize Risk with Bitcoin Price Prediction

Suppose you trained an algorithm which predicts the stock market correct about 70% of all cases. Now you would like to start using your algorithm in real life. Chances are that you don’t get what you expect! On every stock market, you have to pay fees for trading (both for buying and selling stocks). In this article, I will explain how I minimized the risk for my Bitcoin Stock Prediction algorithm mathematically. My algorithm and risk minimization is successfully tested on a Bitcoin stock market called Kraken.

Looking for new interesting investments idea? Check out our Crypto Advisor service!

## Getting Rich using Bitcoin stockprices and Twitter!

How can we use machine learning to predict stockprices? In this tutorial we will make Python scripts for doing sentiment analysis on Tweets and it is explained how to use it for making predictions.

As an example, suppose we had €1000,- at the first of January of 2014 and suppose we could use the algorithm which is described in this tutorial. Then it would generate €2901,- in total on the 22th of February, 2017! The total amount of money (cash + investments) is shown in the next figure:

Money.

Despite the patience you need to have, it will be worth the waiting time eventually. As mentioned in [1], moods in tweets are a good indication of the movement of closing prices on a stock market. In this article, we will only predict how positive or how negative a tweet is. But it turns out that this is giving predictive signals which is accurate enough for our purposes.

Looking for new interesting investments idea? Check out our Crypto Advisor service!