What We Offer
Plutos Equities is a next-generation capital‑forecasting platform using cutting‑edge data science to predict financial performance for top NASDAQ‑listed companies. By integrating traditional financial indicators with sentiment analysis from filings, earnings calls, and market events, we deliver powerful, explainable, and actionable insights to analysts, investors, and institutions.
Datasets & Sources
- SecEdgar Q‑Reports – 5.000 reports (2009–2025) + 2.000 legacy filings (2000–2009)
- Yahoo Finance – Daily stock prices & macroeconomic indicators (2000–2025)
- SecEdgar 8‑K Reports – Market‑moving event disclosures (2000–2009) 20.000 reports
- Overall coverage: ~80+ companies over 25 years of history
Exclusive Proprietary Dataset
This comprehensive, aligned dataset is only available through Plutos Equities. Our team spent thousands of hours collecting, cleaning, and normalizing this data to create the most complete financial forecasting foundation available. This exclusive dataset represents one of the most significant competitive advantages of our platform.
Data Pipeline & Preprocessing
Tabular Preprocessing
- Compute stock price change rates from daily data
- Fetch & normalize macroeconomic indicators
- Align quarterly report tables into time‑series features
- Fill missing values manually or via statistical imputation
Semantic Analysis
- Parse inline HTML and extract narrative text from Q‑reports
- Split into ~2 million text chunks, filter down to 580 000 with PHI‑4
- Score each chunk using a BERT-based sentiment model (0–200 scale)
- Aggregate chunk‐scores into per‑report sentiment features
- Keyword‑driven scoring for 8‑K event filings
Hybrid ML Model Framework
We combine statistical models (ARIMA, Prophet), deep learning (GRU, LSTM), and tree-based methods (Random Forest, LightGBM) to maximize accuracy. Textual data is processed through BERT, RoBERTa, and domain-specific transformers to detect sentiment, trends, and forward-looking statements in reports.
Explainability & Insights
We go beyond predictions. Each forecast is supported with visual attribution maps, feature importance rankings, and reasoning based on text-derived insights. Our system helps you understand not just the "what" but the "why".
Smart Data Aggregation
Our pipeline automatically gathers and cleans data from structured (EDGAR, Yahoo Finance, Finnhub) and unstructured sources. We normalize and align quarterly reports, news sentiment, and macroeconomic indicators to create unified predictive datasets.
Model Architecture & State‑of‑the‑Art
- Sequential Modeling: 25 years of structured + unstructured data fusion
- Multimodal Learning: Text + Tabular + Temporal features to mirror investor workflows
- Quantile‑Based Predictions: Confidence estimates on real‑world noisy data
Example: Q1 2025 Prediction Workflow
Timely, event‑aware, context‑rich predictions powered by our multi‑source pipeline.
Why Choose Us?
Data Science Leadership
We blend classical financial modeling with state-of-the-art AI. Our approach has been benchmarked on public datasets and real-world earnings scenarios with precision exceeding 85%.
Specialized Computer Scientists
Built by a team of computer scientists specialized in different quantitative and qualitative areas including machine learning, NLP, financial modeling, and data engineering.
Custom-Built Architecture
Our microservices-based backend allows for scalable deployment, model versioning, and robust data security hosted on Microsoft Azure.
Plans for Everyone
- Access limited historical forecasts
- Explore financial trends
- Watchlist access for a few tickers
- Sentiment-integrated forecasting
- Compare performance across sectors
- Export detailed forecast reports
- Bulk API data access
- Enterprise-level reporting dashboards
- Dedicated model customization support
Start forecasting smarter
Ready to redefine your investment workflow with research-grade financial forecasting?
Get Started Now