ivanstruk / Backtesting-Pre-Market-Price-ActionLinks
This contains a series of statistical tests that allow you to determine whether certain stocks of the S&P500 and Nasdaq 100 exhibit an indicative pre-market price-action or not, and examines how the same stocks move during reporting periods.
☆18Updated 5 years ago
Alternatives and similar repositories for Backtesting-Pre-Market-Price-Action
Users that are interested in Backtesting-Pre-Market-Price-Action are comparing it to the libraries listed below
Sorting:
- PutPremiumProcessor is a Python option screener with a custom formula to score options based on their risk to reward. I created this to f…☆19Updated 2 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 6 years ago
- Basic python libraries for building technical indicators and trading signals☆17Updated 8 years ago
- Dynamic algorithmic trading systems in Python using Interactive Broker's Python API☆22Updated 4 years ago
- A stock screener that detect consolidation based on Bollinger Bands and Keltner channels☆19Updated 4 years ago
- Using Machine Learning for live currency trading☆37Updated 6 years ago
- Pull price targets from IEXCloud and paper trade on Alpaca 🦙☆12Updated 4 years ago
- Trading bot for Binance with breakout trading strategy.☆33Updated 2 years ago
- ☆49Updated 8 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆17Updated 8 years ago
- Simple algorithm inspired on Renko charts applied to cryptocurrency trading☆49Updated 7 years ago
- MIT Trading Competition algorithmic trading of options and securities☆42Updated 6 years ago
- experiments with crypto trading☆16Updated 11 months ago
- Scalping day trading strategy☆40Updated 5 years ago
- Pairs trading strategy example based on Catalyst☆49Updated 6 years ago
- Written in a proprietary language called EasyLanguage for the trading software Tradestation.☆25Updated 4 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆52Updated 4 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- Project name- Super Trend Visulaization Author- Kanishka Narayan Description- Use this code to re-create a visulization application used …☆19Updated 2 years ago
- Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …☆26Updated 7 years ago
- A python backend to predict prices of candlesticks.☆23Updated 6 years ago
- Financial technical and fundamental analysis indicator library for pystockdb.☆35Updated this week
- Computational Finance in Python.☆23Updated 7 years ago
- Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies…☆36Updated 4 years ago
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 5 years ago
- A simple python script to parse the trades from a TradingView strategy and determine the approprite leverage to use according to the Kell…☆37Updated 7 years ago
- Pairs Trading with Alpaca - created on behalf of AlgoTrading101.com for alpaca.markets/learn☆18Updated 4 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆65Updated 2 years ago
- Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression☆17Updated last year
- Trend trading strategies filtered by the Market Meanness Index.☆12Updated 7 years ago