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 6 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:
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 7 years ago
- Detection of Geometric Fibonacci Harmonic Patterns☆54Updated 6 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable☆57Updated 6 years ago
- A repository containing algo-trading strategies built for AutoTrader. See the website below.☆84Updated last year
- The Option Lab is an automated backtesting framework for option trading strategies. The results generated by the code are visualised on o…☆58Updated 3 years ago
- Pairs trading strategy example based on Catalyst☆49Updated 7 years ago
- Using Machine Learning for live currency trading☆37Updated 7 years ago
- Simple algorithm inspired on Renko charts applied to cryptocurrency trading☆50Updated 7 years ago
- A Python system to generate Volume Weighted Average Pricing (VWAP) Model based Long/Short Trading Signal☆19Updated 8 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆103Updated 6 years ago
- Tools for stock options trading: finding best cash covered put and covered call to see, find best call to buy, etc. Keywords: Implied Vo…☆49Updated 9 months ago
- A python script that estimates the support and resistance lines of a stock's prices over a time period☆76Updated 4 years ago
- Visualisation for auction market theory with live charts☆127Updated 5 years ago
- Quantitative Momentum - Investment Strategy inspired by Wesley Gray and Jack Vogel☆41Updated 7 years ago
- If you are professionals, retailers or even organisms trading on a financial market, you know that data given on online platforms is not …☆35Updated 10 years ago
- These are the code for the article "Backtrader for Backtesting (Python) – A Complete Guide" on AlgoTrading101's Blog. Article and code ar…☆31Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- ☆49Updated 8 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆93Updated 7 months ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Forex news trading app built with java and Dukascopy API. Can open multiple orders and manage them during the news event. Includes strate…☆13Updated 6 years ago
- ☆11Updated 8 years ago
- Python algotrading framework with UI. Backtesting and Live trading. Crypto and US broker connectors☆156Updated 6 years ago
- 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架☆51Updated 4 years ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆155Updated 5 years ago
- A Python toolkit for high-frequency trade research.☆42Updated 7 years ago
- Scalping day trading strategy☆45Updated 5 years ago
- Pairs Trading with Alpaca - created on behalf of AlgoTrading101.com for alpaca.markets/learn☆17Updated 5 years ago
- 🔌 Aggregate candlesticks from high frequency tick data from WebSockets☆30Updated last year