This will live chart and stock analyze data using Flask, mongoDB, Python.
Simply run main.py and point your browser to: http://127.0.0.1:5000
Tested on python 2.7.13 and with Flask 0.10.1
A HackRU winner project. a user-friendly web-interface robo-adviser for novice traders that want to focus on day and short term trading. Project is using candlestick and moving average algorithms to predict suggestions (buy, sell, hold) for users. Product is also notifying users via SMS when the suggestion is changed; users are able to subscribe to multiple stocks in order to get real time suggestions on those chosen stocks. The algorithm is using real time data and provides real time visualization flowing chart for chosen stocks. Used Python, Flask, MongoDB, Node.js.
This will live chart and stock analyze data using Flask, mongoDB, Python.
Simply run main.py and point your browser to: http://127.0.0.1:5000
Tested on python 2.7.13 and with Flask 0.10.1
A HackRU winner project. a user-friendly web-interface robo-adviser for novice traders that want to focus on day and short term trading. Project is using candlestick and moving average algorithms to predict suggestions (buy, sell, hold) for users. Product is also notifying users via SMS when the suggestion is changed; users are able to subscribe to multiple stocks in order to get real time suggestions on those chosen stocks. The algorithm is using real time data and provides real time visualization flowing chart for chosen stocks. Used Python, Flask, MongoDB, Node.js.
MIT License