688 Open source projects that are alternatives of or similar to Deep Convolution Stock Technical Analysis

A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

A javascript technical indicators written in typescript with pattern recognition right in the browser

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

EasyLanguage indicators and systems for TradeStation

Simple javascript library containing methods for financial technical analysis

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

Example of order book modeling.

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Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

quant framework for stock

Predicting stocks with ML.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

Strategies to Gekko trading bot with backtests results and some useful tools.

Stock for Deep Learning and Machine Learning

modular quant framework.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Technical analysis library for Rust language

Programs for stock prediction and evaluation

🤖 Predict the stock market with AI 用AI预测股票市场

Attempt to predict future stock prices based on Google Trends data.

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

Unsupervised Learning to Market Behavior Forecasting Example

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

Technical Analysis Library for Golang

Anomaly detection implemented in Keras

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A brief description on how to use Financial Modeling Prep Api

Code examples for new APIs of iOS 10.

📊 Financial markets data library implemented in go.

Keras tutorial for beginners (using TF backend)

Deep Learning Computer Vision Algorithms for Real-World Use

Unofficial PyTorch Reimplementation of RandAugment.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Repository for most of the code from my YouTube channel

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

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BCDU-Net : Medical Image Segmentation

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Python interface to IEX and IEX cloud APIs

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

Convolutional Neural Network for Human Activity Recognition in Tensorflow

A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

Stonks is a terminal based stock visualizer and tracker that displays realtime stocks in graph format in a terminal. See how fast your stonks will crash.

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

Implementation of State-of-the-art Text Classification Models in Pytorch