Difference between revisions of "Gammath SPOT"
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{{Entry | {{Entry | ||
|Name=Gammath SPOT | |Name=Gammath SPOT | ||
− | |Short description= | + | |Short description=Free Software for comprehensive technical analysis of stocks |
− | |Full description=Gammath Stock Price-Opining | + | |Full description=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), screen stocks based on micro-Gammath Scores and run a SPOT trading simulator. |
+ | |||
+ | |||
+ | [Gammath, SPOT and stylized g(m) are registered trade/service marks.] | ||
|Homepage URL=https://github.com/salylgw/gammath_spot | |Homepage URL=https://github.com/salylgw/gammath_spot | ||
− | |Version download=https:// | + | |Version download=https://github.com/salylgw/gammath_spot/archive/refs/tags/SPOT_v12.5.0.tar.gz |
}} | }} | ||
{{Project license | {{Project license | ||
− | |License= | + | |License=GPL-3.0-or-later |
− | |License copyright=Copyright (c) 2021- | + | |License copyright=Copyright (c) 2021-Present, Salyl Bhagwat, Gammath Works |
− | |License verified by=Salyl Bhagwat, Craigt | + | |License verified by=Salyl Bhagwat, Craigt, Mertgor |
− | |License verified date=2022- | + | |License verified date=2022-04-26 |
|License note=https://github.com/salylgw/gammath_spot/blob/main/LICENSE.txt | |License note=https://github.com/salylgw/gammath_spot/blob/main/LICENSE.txt | ||
}} | }} | ||
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|Prerequisite kind=Required to use | |Prerequisite kind=Required to use | ||
|Prerequisite description=pandas | |Prerequisite description=pandas | ||
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{{Software prerequisite | {{Software prerequisite | ||
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|Prerequisite kind=Required to use | |Prerequisite kind=Required to use | ||
|Prerequisite description=matplotlib | |Prerequisite description=matplotlib | ||
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+ | {{Software prerequisite | ||
+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=scikit-learn | ||
+ | }} | ||
+ | {{Software prerequisite | ||
+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=pandas_datareader | ||
+ | }} | ||
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+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=textblob | ||
+ | }} | ||
+ | {{Software prerequisite | ||
+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=tensorflow | ||
+ | }} | ||
+ | {{Software prerequisite | ||
+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=keras-tuner | ||
+ | }} | ||
+ | {{Software prerequisite | ||
+ | |Prerequisite kind=Required to use | ||
+ | |Prerequisite description=gymnasium | ||
}} | }} | ||
{{Person | {{Person | ||
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|Computer languages=Python | |Computer languages=Python | ||
|Decommissioned or Obsolete=No | |Decommissioned or Obsolete=No | ||
− | |Related projects=https://www.gammathworks.com/ | + | |Related projects=https://www.gammathworks.com/stockanalysissoftware |
− | |Keywords=Free stock technical analysis | + | |Keywords=Free stock technical analysis software, DIY investment analysis, SPOT discounted stocks, Smarter way to invest |
− | |Version identifier= | + | |Version identifier=12.5.0 |
− | |Version date= | + | |Version date=2024-06-05 |
|Version status=beta | |Version status=beta | ||
|Last review by=Salylsb | |Last review by=Salylsb | ||
− | |Last review date= | + | |Last review date=2024-06-05 |
|Submitted by=Salylsb | |Submitted by=Salylsb | ||
− | |Submitted date= | + | |Submitted date=2024-06-05 |
|Component programs=Python 3 | |Component programs=Python 3 | ||
|Paid support=https://www.gammathworks.com/plans-pricing | |Paid support=https://www.gammathworks.com/plans-pricing |
Latest revision as of 19:39, 5 June 2024
Overview
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), screen stocks based on micro-Gammath Scores and run a SPOT trading simulator.
[Gammath, SPOT and stylized g(m) are registered trade/service marks.]
Download
https://github.com/salylgw/gammath_spot/archive/refs/tags/SPOT_v12.5.0.tar.gz
version 12.5.0
(beta)
released on 5 June 2024
Paid support
https://www.gammathworks.com/plans-pricingVCS Checkout
Categories
Related Projects
- [[1]]
Details
Licensing
License
Verified by
Verified on
Notes
License
Verified by
Salyl Bhagwat, Craigt, Mertgor
Verified on
26 April 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 | gymnasium |
Required to use | matplotlib |
Required to use | pandas_datareader |
Required to use | tensorflow |
Required to use | textblob |
Required to use | pandas |
About this entry
This entry (in part or in whole) was last reviewed on 5 June 2024.
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.