FinBERT-LSTM: Deep Learning based stock price prediction using News Sentiment Analysis

Deep Reinforcement Learning (DRL) stock trading system with LSTM-PPO, integrating technical indicators and FinBERT-based news sentiment analysis.

A Sharpe ratio optimised decoder-only TFT based Momentum Transformer and LSTM Deep Momentum Network trading model using FinBERT breaking financial news sentiment and novel price action and VWAP proximity oscillators

Stock price prediction visualization app powered by LSTMs for forecasting and FinBERT for sentiment analysis

Cryptocurrency price prediction based on LSTM and FinBERT sentiment analysis

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A deep learning platform that combines FinBERT-based sentiment analysis with LSTM-driven stock forecasting, delivering real-time, API-powered financial insights with confidence scoring.

An AI framework combining FinBERT sentiment embeddings and LSTM-based stock trend modeling for real-time stock movement prediction using financial news and historical stock data.

LSTM, GRU, GAN, cGAN, sentiment analysis, FinBERT, VAE

Utilizing the sophisticated Recurrent Neural Network (RNN) models, particularly Long Short-Term Memory (LSTM), in combination with FinBERT sentiment analysis, to improve the precision of stock portfolio analysis.

Forecasting Nasdaq-100 trends using financial sentiment analysis and transformer-based deep learning models (Informer, LSTM, FinBERT).

NVDA Stock AI Prediction: Full-stack forecasting platform integrating LSTM neural networks with FinBERT sentiment analysis for real-time NVIDIA stock projections. Features a high-performance FastAPI backend and a reactive Vue 3 cyberpunk dashboard with live market telemetry from Yahoo Finance and News API.

An LSTM model to predict stock price trends using FinBERT sentiment analysis on financial news.

FinSight leverages LSTM networks and FinBERT sentiment analysis to predict stock prices with enhanced accuracy, integrating financial news sentiment for more informed and precise market forecasts.

Compact, explainable LSTM-Quantile notebook for 1-day 95% VaR on UK banks (2010–2025), integrating FinBERT sentiment, macro factors, GARCH/HS/FHS baselines, XAI, and PRA SS1/23 notes.

A FinBERT based sentiment analysis using web scraping and data cleaning techniques in Python, with a streamlit dashboard. Have applied LSTM, XGBoost, Random Forest for some sentiment analysis exercises as well.

Collected financial news via NYT API and NASDAQ stock data via yfinance, extracted sentiment scores using FinBERT, merged them with stock data, and trained an LSTM model for stock trend prediction.

In this project, we combine historical stock price data with sentiment analysis of financial news using FinBERT to predict stock prices for Apple Inc. (AAPL) using a Long Short-Term Memory (LSTM) neural network.

LSTM-based stock sentiment analysis model that combines Unusual Whales sweeps with multi-source sentiment data (Alpha Vantage, Polygon IO, TWS News + FinBERT), aligned with OHLCV features, to predict 4-hour future returns and classify bullish vs bearish signals.

Stock Prediction AI Model

This notebook illustrates the process to use a model which consists of FinBERT, LSTM and CRF to implement NER tasks

Predicting S&P 500 using LSTM and FinBERT using 10 years of data

An end-to-end LSTM Price Predictor using FinBERT Sentiment Analysis

Python | Pandas | finBERT | LSTM:Explore the relationship between news headline sentiment and stock price using pre-trained transformers

Stock prediction using FinBERT transformer, PyTorch LSTM, LightGBM. Multi-modal learning combining sentiment + technical indicators. Backtested with Sharpe ratio analysis.

Apple stock price prediction by combining LSTM on stock price data and sentiment analysis on financial news of apple using FinBERT.

ATS QUANT-PRO: Hybrid AI Stock Volatility & Regime Prediction System powered by Realized GARCH, LSTM, VAE, FinBERT Sentiment & Explainable AI (SHAP/LIME)

AI-powered Indian stock market analysis and prediction tool using LSTM for price forecasting and FinBERT for news sentiment, featuring real-time data, fundamental analysis, and interactive dashboards.

Tech sector risk management & ML forecasting pipeline: GARCH/DCC, HMM regimes, EVT tail risk, FinBERT NLP, LSTM/GRU deep learning, 9 portfolio optimization methods, systemic risk (CoVaR, MES)

A full-stack AI Robo-Advisory platform for the Indian equity market, combining Attention-LSTM forecasting, FinBERT sentiment analysis, and XGBoost risk profiling to deliver personalized, explainable stock recommendations.