Stock Eye

A tool used to track stock-index movements

Brought to you by: farhadab

Add a Review

Downloads: 1 This Week

Last Update: 2014-03-27

Download

Get an email when there's a new version of Stock Eye

Given a stock symbol and an index, along with a time period, Stock Eye will track the movement of the stock relative to the index during the time period and will report back with stats such as how many times during the time period the stock price increased when the index price increased.

Project Samples

Project Activity

See All Activity >

Follow Stock Eye

Stock Eye Web Site

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Rate This Project

User Reviews

Be the first to post a review of Stock Eye!

Additional Project Details

Registered

2014-03-25

Report inappropriate content

Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.

Try It Free

Recommended Projects

Excel - NSE Stock Option Chain
Fetch the live NSE Stock Option Chain data in Excel
Yahoo Stock Symbol Historical Database
simple database loader software that will download Yahoo stock data,
OpenBoxes
Manage inventory and track stock movements for healthcare facilities
Stock Management
The program `Stock Management' presents a system for a franchise with three stores and replenishes the stock for ten items at the end of the week. ‘Stock Management’ uses the principle of Minimum Heap, which is an efficient data structure based on a binary tree, to help find the store replenish its stock by using the minimum price product and see whether it’s able to restock its store completely to the initial stock level. An initial budget is given to each of the stores and the sales of the week of each of ten items are taken with a new item price taken for the ten goods.
Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM