A minimal but powerful Trend Direction/BuySell indicator for TradingView

Recurrent Trend Predictive Neural Network (rTPNN): A neural network model to automatically capture trends in time-series data for improved prediction/forecasting performance

ML model for stock trend prediction using Python

Advanced trend detection and labelling for time series with Python

[Intelligenza Artificiale] The official repo for the paper: "CLAM: A Synergistic Deep Learning Model for Multi-Step Stock Price Trend Forecasting".

Introduction to MindSphere Analytics APIs - The notebooks use @mindconnect/mindconnect-nodejs CLI for API calls.

FinTwitBERT: Specialized BERT Model for Financial Twitter Analysis. Trained on vast financial tweets, it's ideal for sentiment analysis, trend prediction, and financial NLP tasks.

PulsarWave: An ML and NLP-powered tool for highlighting key trends/insight in news feeds data.

All code of Marketpredict tool available here.

A simple AI-powered market trend analyzer using Gemini API

Multi-modal system analyzing social media, news, art, and music to predict emerging cultural movements and artistic trends years before they mainstream.

Indicator-based cryptocurrency trading-bot for Binance, built with Python, supporting XRP, ADA, DOGE, SOL, MATI, DOTU, AVAX & LINK altcoins.

Examined 60 years of Mauna Loa CO2 data, utilizing Python, Jupyter, and essential libraries for preprocessing and advanced modeling, revealing key atmospheric trends.

A data analysis tool for Canada 28 time-series tracking and statistics.

TikTok trend prediction & sentiment analysis across 5 Asian countries using One-Class SVM and NLP

AI-powered market intelligence workstation for real-time signal collection and automated daily reporting.

Set of tools for trading

Market Trend Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.

API and machine learning engine for a YouTube trend prediction platform. It combines historical YouTube datasets with live YouTube Data API v3 data to generate trend predictions, topic clusters, sentiment insights and creator focused recommendations.

A full-stack web app that deciphers social media trends before they happen. hype-o-thesis uses NLP and machine learning to analyze real-time data from platforms like X and Reddit, providing a dynamic dashboard for predicting the next big thing online.