Difference between revisions of "Gammath SPOT"
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|Name=Gammath SPOT | |Name=Gammath SPOT | ||
|Short description=Stock Price-Opining Tool for investors | |Short description=Stock Price-Opining Tool for investors | ||
| − | |Full description=Gammath Stock Price-Opining Tool is a DIY stock technical analysis tool 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. | + | |Full description=Gammath Stock Price-Opining Tool is a DIY stock technical analysis tool 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. |
|Homepage URL=https://github.com/salylgw/gammath_spot | |Homepage URL=https://github.com/salylgw/gammath_spot | ||
|Version download=https://pypi.org/project/gammath-spot/1.5/ | |Version download=https://pypi.org/project/gammath-spot/1.5/ | ||
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|Related projects=https://www.gammathworks.com/gammathspot | |Related projects=https://www.gammathworks.com/gammathspot | ||
|Keywords=DIY stock technical analysis tool, SPOT discounted stocks, Smarter way to invest, DIY investment tool | |Keywords=DIY stock technical analysis tool, SPOT discounted stocks, Smarter way to invest, DIY investment tool | ||
| − | |Version identifier=1. | + | |Version identifier=1.7 |
| − | |Version date=2022-01- | + | |Version date=2022-01-21 |
|Version status=beta | |Version status=beta | ||
|Last review by=Salylsb | |Last review by=Salylsb | ||
|Last review date=2022-01-04 | |Last review date=2022-01-04 | ||
|Submitted by=Salylsb | |Submitted by=Salylsb | ||
| − | |Submitted date=2022-01- | + | |Submitted date=2022-01-21 |
|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 19:40, 21 January 2022
Gammath SPOT
https://github.com/salylgw/gammath_spot
Free Software for comprehensive technical analysis of stocks
Gammath Stock Price-Opining Toolset (SPOT) is a comprehensive stock technical analysis software that is easy-to-use via its Graphical User Interface (GUI) and Command Line Interface (CLI). It takes watchlist as an input, collects necessary data from the Internet for the stocks on the watchlist, does technical analysis and algorithmically computes a stock analysis score [aka Gammath Score (gScore -- pronounced as "ga Score")] that is between -1 and +1 to indicate the degree to which the algorithm perceives the stock to be trading at a premium or at a discount. SPOT includes tools to compute estimated price projection, multipurpose estimation for Gammath Score and Price, compute useful probabilities, estimate support and resistance level, compute stock news headlines sentiment analysis, generate gscores history, backtest a trading strategy (for short-/long-term and medium-/high risk) and screen stocks based on micro-Gammath Scores.
[Gammath, SPOT and stylized g(m) are registered trade/service marks.]
Download
https://pypi.org/project/gammath-spot/
version 11.82
(beta)
released on 28 November 2023
Paid support
https://www.gammathworks.com/plans-pricingVCS Checkout
Categories
Related Projects
- [[1]]
Licensing
License
Verified by
Verified on
Notes
License
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
| Audience | Resource type | URI |
|---|---|---|
Software prerequisites
| Kind | Description |
|---|---|
| Required to use | yfinance |
| Required to use | statsmodels |
| Required to use | scikit-learn |
| Required to use | numpy |
| Required to use | pykalman |
| Required to use | keras-tuner |
| Required to use | matplotlib |
| Required to use | pandas_datareader |
| Required to use | tensorflow |
| Required to use | textblob |
| Required to use | pandas |
This entry (in part or in whole) was last reviewed on 28 November 2023.
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.