webclinic017 Goto Github PK
Name: WebClinic
Type: User
Name: WebClinic
Type: User
An AI that predicts stock trends integrated into a server made with Django. Uses LSTM and takes volume and price trends into account to make predictions upto 50 days into the future. Made for ICS4U.
EodHistoricalData Analysis of financial earnings data and forecasting earnings surprises utilizing machine learning.
In theory, the intrinsic value of a stock is defined as the stream of free cash flows to equity (i.e., cash flows attributable to stockholders, after bondholders and preferred stockholders) discounted to the present. Given the sheer difficulty in determining the discount rate, stability of future cash flows, and the future values of cash flows themselves, we aim instead to apply an ensemble supervised learning model (specifically a random forest w/ mutually-exclusive sets of investment ratios) to provide a more holistic view of an equity asset's underlying value. This project is a work in progress.
Predicting the 'direction' of stocks using historical data
Use Convolutional Neural Networks on stock chart images to predict a stockโs 10 day return
POC on predicting the stock market ltsm
Prediction of Top Movers (% change) stocks using Market sentiment scores and Yahoo Finance data (RNN-LSTM architecture)
A nameko predictive service for remainting useful life with fastapi as webservice
Simple predictive modelling task using time series data.
ASBR project
Machine learning model for HackRice X
A machine learning driven web application to predict stocks
PE INVESTING BACKTRADER
The easiest way to automate your data
flaml yfinance
Algotrading bot, shorts biggest winning premarket movers
Event-driven backtest/realtime quantitative trading system.
This project uses Stock-Price-Trade-Analyzer to back-test the permformance of an investment strategy of picking only the top 9 performing stocks from the S&P 500 over a period of 35 years to answer the question "How well does past performance predict future returns?"
Prophet Based Stock Prediction Scripts and Outputs results to github pages
Tracking ARKK and ARKX ETF holdings with analysis in Pandas dataframes and exporting to Postgresql databases
This project implements machine learning algorithm to predict stock index futures price by matching recent futures price and volume with similar historical data trend on Python
Price Action strategy development.
A trading robot with different candlestic patterns and Fibonacci Ratios
A US equities price action model that incorporates 7 technical indicators to arrive at an overall score between -6 to +7
A jupyter notebook to analyze price action vs stock sentiment
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.