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Main Objectives: 1. Get historical and today's data from API of daily price since January 2013 2. Index Creation 3. Sharpe ratio 4. Value at Risk (VaR) 5. CAPM and Beta model Note: Model is dynamic updated every 12 hours through APIs. API documentation available.
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i have a all redy 2 project i wont to same changes in my app and after also upload properly in my google play account [use TeamViewer ]
...file of funds with Index Data and Historical NAV. I need to get different ratios about them such as Sharpe Ratio, Treynor ratio, Jensen Measures (Jensen Alpha, P-Value), Fama Measures, Transformed Sharpe Measures, Pooled and individual Regression for Treynor-Mazury (TM) (t-value, variance inflation factor, tolerance, condition index, intercept, Rm, Rm
...program that can analyze NASDAQ data for any stock. I want it to tell me potentional resistance points and price targets, ranges and direction based on the equity and NASDAQ index. Should use real time data. I want it to run on my PC using deep learning. I dont care how long it takes to process, but hopefully no more then 10 minutes so i can plan trades
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I don't have the store yet, I need one created and products uploaded. 20,000 products supplied
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...AWS DynamoDB and ElasticSearch to help move a product search engine (100's of millions of rows eventually) from MySQL to DynamoDB and ElasticSearch for faster scaling. The index should have every search function you can think of, full text on all fields, sorting by price etc. Each product image should be added to the database using something like
...include the name of the file, type of operation, and requisite parameters (starting byte index, byte count, etc) - When a file is written, it should call back a method in user space in a C# application, and include the name of the file, type of operation, starting index, data to be written - When a file's metadata or permissions are changed, similarly, a