webclinic017 Goto Github PK
Name: WebClinic
Type: User
Name: WebClinic
Type: User
This project looks to scrape news source sites and utilize such NLP transformers like Googleβs BERT. The goal is to see if we can take an analyzed news article and correctly predict the direction a stock price will move.
AUTOMATED SIGNAL GENERATOR FOR STOCKS/FX-PAIRS
Model using Long Short Term Memory to predict stock prices. Input is OHLC data which the program will automatically procure from Yahoo! Finance using Python web scrapers. The input will be ticker, date range of OHLC data, and number of days for prediction.
Automated Stock Trading application which utilizes the Alpaca API and Opening range breakout/breakdown strategy to manage a stock portfolio π
3rd Year University Undergraduate dissertation project, supervised by https://www.nottingham.ac.uk/computerscience/people/thomas.gaertner focusing on using Natural Language Processing, AI Portfolio Optimisation and Machine Learning to produce an Automated Trading Agent. Received 89% overall.
Automated Trader for NSE software is for trading the signals provided by The Portfolio Trader's NSE Trades. The software is provided FREE OF COST.
Automated Trading: Trading View Strategies => Bitfinex, itBit, DriveWealth
Built an automated trading bot which can trade stocks in Interactive Brokers by connecting to the IB API based on the securities' RSI values
Makes daytrades using the TD Ameritrade API
Trading System with Backtrader
Our project proposal highlights the effects of Market Regimes on the historical volatility and the trading performance of Options to which we present a technology stack and methodology aimed at developing an automated Options trading system and also present a Markov-switching Auto-regressive model as an effective model for predicting Regime shifts and lastly present a hedging strategy that minimizes the risk profile of an investment portfolio by utilizing our Market Regime predictive model to automatically re-balance the weights of assets in our investment portfolio to generate more consistent and favourable trading alphas.
The goal of my final project work was to create a machine learning model, based on data from 130 stocks over the last 14 years, which is able to recognize patterns in price movements and make predictions.
An automated trading bot, accesses Alpaca API ML
Backtrader Based Platform for Algorithmic Trading
This study proposed an automated trading agent that could assist investors to maximized the value of portfolios. By leveraging the sentiment analysis, technical indicators and Deep Deterministic Policy Gradient, our agent is able to achieve +3% ROI in certain conditions.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Automated Stock Trader
A list of software that turns your database into a REST/GraphQL API
Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data collected via the financialmodelingprep API.
Used Alice blue API to fetch stock market data and then used python algorithms to apply conditions over it and placing hundreds of stock orders simultaneously and automatically notifying it.
Creates a stock portfolio based on your risk level, period of investment, and investment value
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.