What is CashCow.io?

Cashcow is an aritificial intelligence build to serve humans in their investment decisions.Made from humans for humans: She excludes the factor of emotions and cognitive biases.

Little secret: She wants always to learn something to make investing safer.

Be the master in stock picking

Master the right stock picking and you will earn much more money because you will make immense price gains.Imagine that your job is no longer your main income source and you can pay your living costs from your additional income from the stock market.
Efficient stock selection methods allow you to earn money systematically. This way you can build an independent income.

Technical Analisis?

Like the saying “the trend is your friend”.

Technical Analysis is about determing at what price to buy. CashCow identifies opportunitys to buy, hold or sell by analyzing the stock chart.

We think following the trend is up on a certain level good. However Fundamentals are the main focus of CashCow to let you sleep more quiet at night. 

1. Find the right entry

2. “Amplier” of the possible earnings

3. Know when it’s time to exit

Fundamental Analysis

Fundamental Analysis is about determing what stock to buy. It constitutes the basis of CashCow the fundament for safer investing. Analysing the earnings, expenses, assets, debt and many more data of a company compared to his competition gives a clear idea if the stock is a buy, hold or sell. In substance it is about extracting informations from masses of data. Be cool CashCow is programmed to properly work with Big Data.

1. Buy the dip

Find stocks that are undervalued and so likely to rise

2. Sleep quiet

Invest defensive and select after safety criteria

3. Don’t fall in a trap

Avoid overpriced stocks

Cashcow ai combines 3 core elements

Capacity to learn

While traditional statistical models are static, machine learning-based models learn, adapt and improve their methods as they process new inputs.

Number of variables

Number of variables Traditional statistical models are only able to address a limited number of variables. Meanwhile, machine learning models can address thousands, even millions of variables thanks for advancement in computing power.

Forgiveness to noisy data

Machine learning models are able to extract meaningful insights from noisy, unstructured data like social media, news, blogs while traditional statistical models simply cannot handle this.