There are 7 repositories under bollinger-bands topic.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
A program for financial portfolio management, analysis and optimisation.
Indicator is a Golang module that provides a rich set of technical analysis indicators, strategies, and a framework for backtesting.
Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average True Range (ATR) and many others
IndicatorTS - Stock technical indicators and strategies in TypeScript for browser and server programs.
Technical anaysis library for .NET
🚀 The production-ready subclass of `pandas.DataFrame` to support stock statistics and indicators
Attempt to predict future stock prices based on Google Trends data.
A collection of indicators written in Pine script for TradingView platform.
Scripts for using on Binary.com Bots.
Scan cryptocurrencies and stock market by Bollinger bandwidth in one click. Browse coins integrated with TradingView. Just the tool you need in bull season. find the coins and stocks that will rise in advance.
Financial indicators for use with Data-Forge
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Monorepo for trading algorithms
Web app with TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular
A python package to extract historical market data of cryptocurrencies and to calculate technical price indicators.
A stock screener that detect consolidation based on Bollinger Bands and Keltner channels
An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
Django application with an admin dashboard using django-jet, for monitoring stocks and cryptocurrencies based on technical indicators - Bollinger bands & RSI
Bollinger Squeeze Advanced is a histogram indicator of market volatility, trend's direction and strength.
Keltner / Bollinger Band based squeeze with MACD for trend direction. Chart and RadarScreen with alerts.
A Stock Prices Analytics Dashboard, comprising of python codes for price predictions, technical indicators, and dashboard hosting
Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.
Reddit Sentiment Analysis of r/Wallstreetbets/$AMC and Bollinger Bands Technical Indicator Correlation
Bollinger Squeeze Basic is a histogram indicator of volatility and trend direction.
Calculate the values of the Bollinger Bands from giving values.
Python library to design and combine operators on time series using Tensorflow.
Implementations of various trading strategies
The Python project written on Jupyter includes technical analysis using various indicators, developing trading strategies based on the indicators, visualizing the outcomes, and testing the strategies. The indicators applied in the project are Simple Moving Average 200, Bollinger Bands, and RSI - Relative Strength Index.
Bollinger Bands Breakout Alert is a basic BB indicator with price breakout signals - arrows, alerts, push-notifications, and email.
Colaboratory notebook that implements several strategic indicators that are commonly used in the financial ecosystem. Enter a ticker symbol for an equity (ETF, cryptocurrency, et. al.), a start date, and an end date for the analysis. Run all and let the analysis begin. Note: This is not financial advise, use at your own risk.
Advanced GAS Price Level Indicator combines machine learning-inspired alpha factors with traditional technical analysis, providing adaptive, correlation-weighted signals for high-probability trading opportunities.