Open Source
Code, models, datasets, and research contributions from our quantitative research team
Our Presence
GitHub
Open-source code repositories, quantitative analysis tools, and research implementations.
Repositories
Stars
Forks
Hugging Face
Machine learning models, transformers, and fine-tuned models for market analysis.
Models
Datasets
Downloads
Kaggle
Competitions, datasets, notebooks, and research contributions to the data science community.
Competitions
Rank
Datasets
Featured Projects
quant-market-analysis
Python
A comprehensive toolkit for quantitative market analysis, including data processing, statistical modeling, and visualization utilities.
View Project
time-series-forecast
Jupyter
Time series forecasting models with implementations of ARIMA, Prophet, and LSTM architectures for pattern prediction.
View Project
sector-analysis-framework
R
A framework for analyzing sector performance using statistical methods and econometric models.
View Project
data-aggregation-pipeline
SQL
Scalable data pipeline for aggregating market data from various public sources into structured formats.
View Project
Datasets & Models
Sector Performance Dataset
Kaggle
Curated dataset containing historical sector performance metrics for quantitative analysis and research.
Rows
Features
Downloads
Market Sentiment Model
Hugging Face
Fine-tuned transformer model for analyzing market sentiment from public data sources.
Parameters
Downloads
Tasks
Economic Indicators Dataset
Kaggle
Comprehensive dataset of global economic indicators for macroeconomic analysis and research.
Rows
Countries
Indicators
Quant Trading Models
GitHub
Collection of quantitative trading models and statistical arbitrage strategies for research purposes.
Models
Strategies
Papers
RichesPalace is currently in development. Our open-source contributions will be made available as we approach our official launch. Links and metrics shown are for illustrative purposes.