Financial Domain Question Answering with pre-trained BERT Language Model
Stock Sentinel is a web app providing stock market investors with sentiment analysis and news aggregation. It uses FinBERT for sentiment analysis and offers stock information, similar stocks suggestions, summaries, and news stories. With real-time insights, it helps users make informed investment decisions. Installation is easy with cloning, depend
Interaction-centric behavioral modeling for earnings calls using multimodal neural fusion, text-audio divergence, and Q&A interaction dynamics.
End-to-end ML system for prediction market trading — 521K markets, 78 features, 7 model architectures, walk-forward validation, live VPS A/B across 7 configs. Honest research-stop on alpha decay (NO-GO verdict). AFML methodology: Purged K-Fold, Deflated Sharpe Ratio, meta-labeling, focal loss.
An offline-first quantitative equity analysis engine. Combines stochastic market modeling (HMM/GARCH), air-gapped NLP sentiment (FinBERT), and sector-aware fundamental scoring to deliver institutional-grade portfolio auditing and tactical trade signals.
Multi-agent (LangGraph + Claude) app that turns an earnings call into a source-attributed analyst brief: ingest - FinBERT tone + KPI-vs-consensus - SurpriseSignal - grounding check - delivery.
Stock market sentiment analysis platform • Near real-time news aggregation • FinBERT ML + Gemini AI • 91%+ accuracy
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.
FinBERT pre-trained models as a containerized HTTP service.
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.
Production-grade, open-source quantitative research engine in Python - backtesting, portfolio construction, ML validation, NLP sentiment, live paper trading, and a real-time dashboard in one cohesive framework.
Full code for my Medium article exploring the use of sentiment analysis as a buy trading signal.
A regime-switching Monte Carlo engine for modeling systemic risk and contagion in equity markets.
FinRoute — 金融客服工单智能分发与业务分流系统。基于BERT FinBERT的NLP文本十分类，从5万条数据到API部署的完整闭环。
End-to-end NLP pipeline that ingests S&P 500 earnings-call transcripts, extracts and cleans speaker blocks, infers roles, and scores sentiment with VADER + FinBERT (with confidence). Outputs Power BI-ready call/role KPIs and an interactive dashboard with tooltips for trends, gaps, QoQ change, and extremes.
Local-first AI market intelligence assistant for Indian equities. FinBERT sentiment, Yahoo Finance, local LLM agent with tool-calling. Python + PyTorch.
Real-time financial news sentiment analysis pipeline using fine-tuned FinBERT. Open-source replica of Bloomberg BQuant Textual Analytics with 92% F1 score on financial text classification.
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