Difference between revisions of "Gammath SPOT"

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|Related projects=https://www.gammathworks.com/gammathspot
 
|Related projects=https://www.gammathworks.com/gammathspot
 
|Keywords=Free stock technical analysis tool, DIY investment tool, SPOT discounted stocks, Smarter way to invest
 
|Keywords=Free stock technical analysis tool, DIY investment tool, SPOT discounted stocks, Smarter way to invest
|Version identifier=3.9
+
|Version identifier=4.0
|Version date=2022-06-11
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|Version date=2022-06-14
 
|Version status=beta
 
|Version status=beta
 
|Last review by=Salylsb
 
|Last review by=Salylsb
|Last review date=2022-06-11
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|Last review date=2022-06-14
 
|Submitted by=Salylsb
 
|Submitted by=Salylsb
|Submitted date=2022-06-11
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|Submitted date=2022-06-14
 
|Component programs=Python 3
 
|Component programs=Python 3
 
|Paid support=https://www.gammathworks.com/plans-pricing
 
|Paid support=https://www.gammathworks.com/plans-pricing

Revision as of 18:25, 14 June 2022


[edit]

Gammath™ SPOT

https://github.com/salylgw/gammath_spot
Stock Price-Opining Tool for investors

Gammath™ Stock Price-Opining Toolset is a DIY stock technical analysis toolset that takes watchlist as an input, collects necessary data from the Internet for analysis of the stocks on the watchlist, does technical analysis of the stocks and algorithmically computes a gScore (between -1 and +1) for the stocks to indicate the degree at which the algorithm perceives the stock to be trading at a premium or at a discount. gScores nearer to -1 are deemed to be trading at a premium and gScores nearer to +1 are deemed to be trading at a discount. gScores can be used like an indicator in making a buy/sell/hold decision on the stock. The toolset also computes some useful probabilities, 5-year (approx.) price conjecture and an estimated price projection (for approx. 5 years) that can be incorporated in decision-making. You can also generate gScores' history (using its historian tool) for correlation to come up with a trading strategy. You can then backtest the strategy using its backtester tool. A default basic strategy (long-term and short-term) is provided as an example).

Related Projects






Licensing

License

Verified by

Verified on

Notes

Verified by

Salyl Bhagwat, Craigt

Verified on

4 February 2022




Leaders and contributors

Contact(s)Role
Salyl S. Bhagwat (Salylsb)Founder, CEO, void *Engineer


Resources and communication

AudienceResource typeURI


Software prerequisites

KindDescription
Required to usebacktesting
Required to usesklearn
Required to useyfinance
Required to usestatsmodels
Required to usenumpy
Required to usepykalman
Required to usematplotlib
Required to usepandas_datareader
Required to usepandas
Required to useta-lib

This entry (in part or in whole) was last reviewed on 14 September 2022.




Entry





"GPL-3.0-or-later" is not in the list (ACEL, AFL-3.0, AGPL-1.0, AGPL-1.0-or-later, AGPL-3.0, AGPL-3.0-or-later, AGPL-3.0-or-later-with-exception, AGPL-3.0-with-exception, AGPLv1orlater, AGPLv3, ...) of allowed values for the "License" property.
























"Founder, CEO, void *Engineer" is not in the list (Maintainer, Contributor, Developer, Sponsor, Unknown) of allowed values for the "Role" property.
















Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.