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

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…

Import historical OHLC data from GDAX

4chan Market Analysis Tool

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

Warframe trader for warframe market analysis.

Analyzing Fater company's diaper market potential and enhancing revenue estimation for Naples stores: A Socio-Demographic, Territorial, and Points of Interest Perspective

Blueyes is a financial and Investment Software

Python tool for analyzing the belgian second hand electric car market by scraping and visualizing data from multiple car listing websites. Features parallel web scraping, price tracking, and interactive dashboards.

Simulate a market maker's behavior, focusing on buying and selling assets at prices around a "fair value," with inventory and risk management.

Client segmentation. Recency, frequency, and monetary value.

This repository contains `JPX Tokyo Stock Exchange Prediction`.

Stock Scoring – Implements a scoring system for stocks to determine buy/sell signals based on predefined criteria. 🚀📈

Stock analysis and suggestions through scraping

DecryptoBot is a conservative crypto trading bot focusing on new listings and range trading.

Source code from Dragon Datathon for sales prediction and business consulting for Chemours utilizing Deep Learning

Utilities for analyzing various types of cryptocurrency market data.

Quantum-Based Predictive Market Analysis (QBPMA) is a quantum algorithm designed to analyze and predict market trends with higher accuracy using quantum computing principles.

Deep Learning-Based Financial Sentiment Analysis (DLBFSA) is a deep learning algorithm that analyzes financial news and social media to gauge market sentiment and make informed trading decisions.