CommunistBadger is a stock analysis tool build for multiple data and market analysis and recommendation.
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Updated
Dec 26, 2018 - Python
CommunistBadger is a stock analysis tool build for multiple data and market analysis and recommendation.
Stock analysis and suggestions through scraping
Source code from Dragon Datathon for sales prediction and business consulting for Chemours utilizing Deep Learning
Import historical OHLC data from GDAX
Client segmentation. Recency, frequency, and monetary value.
Warframe trader for warframe market analysis.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
This repository contains `JPX Tokyo Stock Exchange Prediction`.
Blueyes is a financial and Investment Software
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…
Utilities for analyzing various types of cryptocurrency market data.
4chan Market Analysis Tool
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.
Quantum-Based Predictive Market Analysis (QBPMA) is a quantum algorithm designed to analyze and predict market trends with higher accuracy using quantum computing principles.
DecryptoBot is a conservative crypto trading bot focusing on new listings and range trading.
Simulate a market maker's behavior, focusing on buying and selling assets at prices around a "fair value," with inventory and risk management.
🚀 AlphaCrew: Production-grade multi-agent hedge fund platform powered by CrewAI Enterprise. Features live trading via Alpaca, real-time performance monitoring with Grafana, and human oversight through Slack. Built for sophisticated algorithmic trading and portfolio management.
Customer Segmentation & Product Analysis This project analyzes customer transaction data to identify the top 3 most profitable products and the characteristics of our most loyal customers. By leveraging data insights, the marketing team can focus on high-value customer segments and optimize their strategies.
Stock Scoring – Implements a scoring system for stocks to determine buy/sell signals based on predefined criteria. 🚀📈
Data-driven market entry strategy for Brazil's e-commerce sector, analyzing 96,000+ customers to identify optimal product categories, regional opportunities, and customer retention tactics.
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