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https://github.com/andrewrgarcia/bitcharts


https://github.com/andrewrgarcia/bitcharts

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README

        

#### Disclaimer : Not financial advice

The information contained on this Colab notebook site, resources available for download and associated material thereof ("the Media") are not intended as, and shall not be understood or construed as, financial advice. Andrew Garcia ("the Author") is not an attorney, accountant nor financial advisor, nor is he holding himself out to be, and the information contained on this site is not a substitute for financial advice from a professional who is aware of the facts and circumstances of your individual situation. Though the Author has attempted to provide information that is accurate and valuable, nothing available on or through the Media should be understood as a recommendation that you should not consult with a financial professional to address your particular information. On that note, the Author expressly recommends that you seek advice from a professional.


The Author is also not endorsing the Martingale strategy nor any strategy explained or showcased in the Media. The Author shall not be held liable or responsible for any errors or omissions on this site, nor for any damage you may suffer as a result of failing to seek competent financial advice from a professional who is familiar with your situation.

# bitcharts

This repository contains restructured material from Google Colab notebooks drafted by the Author (see below)

To import this repository to your local environment and access it (on terminal):

```ruby
git clone [email protected]:[your-github-username]/bitcharts.git
cd bitcharts
```

It is recommended you run this project using a virtualenv virtual environment. To do so, follow the below simple protocol to create the virtual environment:

```ruby
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
```
Once the virtual environment is activated, run the `results_` scripts

## Martingale-Hedged MACD (Theoretical)

Results adapted from the Colab notebook [Coupled Martingale Strategy Testing on Bitcoin Trading (Garcia) ](https://colab.research.google.com/drive/1SnWa53xzA83IYTlgqP8eOx5LB82ux8SG?usp=sharing) in a project format.

#### Continuity

These results are rooted on the Martingale strategy which is showcased in the [Martingale DCA on Coin Flip Games (Garcia)](https://colab.research.google.com/drive/1ZK_eW-kyHN3vMjPN_D0TAerG6J631ooV?usp=sharing) Google Colab Notebook.

#### Terminal Commands

```ruby
python results_mart.py
```

[![](img/Figure_1.png)](https://colab.research.google.com/drive/1SnWa53xzA83IYTlgqP8eOx5LB82ux8SG?usp=sharing)

## Support Vector Machines (AI)

Results adapted from the Colab notebook [Support Vector Machines on Bitcoin Prices (Garcia) ](https://colab.research.google.com/drive/11aveFb9tdg33A2tDnDQfjRkJ4KaGs29x?usp=sharing) in a project format.

#### Terminal Commands

```ruby
python results_SVC.py
```

[![](img/Figure_2.png)](https://colab.research.google.com/drive/11aveFb9tdg33A2tDnDQfjRkJ4KaGs29x?usp=sharing)