Explore @financial-astrology-research Open Source projects

Financial Astrology Research Group (@financial-astrology-research)

financial-astrology-research

Stars
264
Global Org. Rank 34,718 (Top 12 %)
Registered almost 4 years ago
Most used languages

R
40.0 %

Python
40.0 %

TypeScript
20.0 %
Location 🇺🇸 United States
Country Total Rank 27,836
Country Ranking

R
316

Python
8,907

TypeScript
9,486

financial-astrology-stats

We research the correlations between astrology planet cycles and price effect for multiples financial markets using statistics and machine learning techniques. Join the community discussions at Telegram:

jesse-astrology-trading-strategy

This Jesse strategy is based on financial astrology cycles detected with advanced machine learning techniques for the crypto-currencies symbols: ADA, BAT, BNB, BTC, DASH, EOS, LINK, LTC, ZEC and ZRX, the daily price trend is forecasted through this planets cycles and MAs indicator are used to narrow the precise entry/exit. Join our discussions at Telegram:

financial-astrology-machine-learning

We use advanced machine learning techniques to build models that correlate planet cycles and aspects (cosmic energy) with markets price action to forecast the daily trend direction. Join our discussions at Telegram:

morinus-console

Morinus console is a project to provide a console commands to interact with the Morinus function from command line and allow to integrate with other programming languages such R to do statistical analysis. The second phase of the project will be to provide access to all the commands via a REST API.

trading-signal-processing

Trading signals processing solution that supports signals filtering and posting to broker or exchanges that are not integrated into your trading bot platform such as Trading View or Jesse bot. The signals are received through an AWS Serverless endpoint webhook notification and the processing is handled in a lambda function. Currently the only broker that is integrated is Zignaly.com