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This repo holds the documentation and guidelines for algorithm backtesting data and financial trading algorithm sharing and codeveloping.

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Documentation-Guidelines

Disclaimer:

Megapro’s GitHub repos are intended for informational purposes only. It is not intended to be investment advice, solicitation of any kind, or an endorsement. Any decisions or actions taken based on information presented in Megapro GitHub repos or other content produced by Megapro are made at your own risk and discretion. Upon taking action based on information presented in this repo or other content produced by Megapro, you confirm that:
(a) This repo or any other material produced by Megapro is not an offering, solicitation, or prospectus of any kind.
(b) Megapro is exempted from any direct or indirect liability to the maximum extent of the law.
(c) You are aware of risks in the financial investment and are able to bear potential losses in full.

Megapro is a social algorithmic trading data platform. We enable anyone in the world to join the social algorithmic trading revolution by sharing and codeveloping profitable trading algorithms.

Megapro 6A financial data platform:

FA = Fundamental Analysis;
TA = Technical Analysis;
MA = Money Flow Analysis;
SA = Sentiment Analysis;
PA = Political/Policy Analysis;
EA = Event Analysis;

Knowing the drivers behind the market and stock movement is the key to successful investment. We pioneered the 6A investment system. We analyze the financial market and stocks from six diversified areas, create a 6D view of the market and stocks. We collect, process, and use the 6A data to generate trading picks and trading signals.

We have built a scalable and reliable big data database and a powerful, robust computing farm to process billions of data each month.

Official website:
https://www.megapro.com

Follow us on Twitter:
https://twitter.com/Megaprodata

Connect with us on LinkedIn: https://www.linkedin.com/company/megapro-corporation/

Subscribe to our YouTube channel:
https://www.youtube.com/@stockdata

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This repo holds the documentation and guidelines for algorithm backtesting data and financial trading algorithm sharing and codeveloping.

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