Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Expert advisors, scripts, indicators and code libraries for Metatrader.

Market Profile indicator for MT4 and MT5 by EarnForex.com

Collection of scripts and utilities for stock market analysis, strategies etc

cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Tr…

A fully automated trading bot which analyses US stock market data with a variety of technical indicators **UPDATE** Crypto trading enabled

Market Analysis Course with Interactive RTutor Problemsets, Videos and Quizzes

Import historical OHLC data from GDAX

C++ header-only библиотека технического анализа для алготрейдинга

An environment of open source services used for market analysis

Price response function and spread impact analysis in correlated financial markets

QuantX is a set of tools for quantitative trading, offering real-time data collection, AI-driven decision-making, dynamic hedging, and advanced simulations

Configurable Automated Limit Order Book

This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.

MEME (Meme Economy Market Evaluator) provides a set of tools to analyze the market at /r/MemeEconomy

CommunistBadger is a stock analysis tool build for multiple data and market analysis and recommendation.

A Wrapper for AppMagic API

Implementation of a d3.js Visual Analytics dashboard for Sales Analysis and Customer Segmentation in Retail

I built and planned this little JavaScript demo application for Browser Support. First of all, I analyzed the market to find which resources I can use to find out which feature is supported by which browser and which market share that feature has. Then, I used different techniques: feature detection with fallback code, manual polyfills and Babel.

An analysis of restaurant data in India and a proposal for a tailored marketing campaign based on regional trends and customer preferences