INTRODUCING GAMMATH SPOT

Gammath Stock Price-Opining Tool (SPOT - with a Patent Pending ingredient) is a free software and subscription service for comprehensive technical analysis of stocks. It enables smart, quick, easy and consistent way for investors to make buy/sell/hold decisions on stocks in their watchlist. Gammath SPOT software can be run on Mac, PC and Cloud. It provides Graphical User Interface (GUI) and Command Line Interface (CLI) to:

• Collect data that it needs from the Internet for stock analysis

• Do stock analysis and use my patent-pending ingredient to compute stock analysis score. I call this score the gScore (pronounced as "Ga Score" to represent Gammath Score). gScore is intended to indicate the concurrent degree to which the stock in the watchlist is perceived to be trading at a premium or at a discount

• Compute stock news headlines sentiment analysis score

• Estimate/Project price, compute probabilities and estimate support and resistance level

• Generate stock analysis score history for correlation with past prices

• Backtest using a strategy (or the default strategy provided)

• Screen stocks based on micro-gScores

• Automate decision-making

​

Please note that Gammath Works' gScore is NOT a third-party indicator 

​

For investors who perform their own technical analysis, Gammath SPOT saves incredible amount of time and when combined with a watchlist such as the one I publish with gScores, should present many opportunities to invest and diversify.

Click here to purchase one of the affordable subscription plans that will give you access to:

• My watchlist with gScores for US-listed stocks

• On the SPOT blog where I discuss gScores with example from my watchlist

• Premium content such as scraped data, gScores, micro-gScores, signals information, probabilities, support and resistance levels, charts etc. that can help you make your own buy/sell/hold decisions on stocks

​

Gammath SPOT open source project details can be found on GitHub.

Gammath SPOT Python package details can be found on PyPI.

​

Please visit the FAQ page and feel free to contact me (click here) if you have any questions.

​

Disclaimer: I'm not an investment advisor. Investors make their own buy/sell decisions and understand the risks associated with respective investments