Terminal for Automation with Quant Models

Quant Terminal is batch processing software that uses FMP to allow for automated financial modeling and quantitative analysis.

It's a statistical tool focused on quantitative mathematics.

Quant Terminal has a rich amount of features, including

1. Manage (via ArcticDB) a 30-year finance data history of
   1. OHLCV tick data.
   2. Fundamentals (balance sheets, income statements, cash flows)
   3. Macro data (COT, Open Interest) via FTC
   4. Trend data (Google Trends, VIX etc.)
   5. Analyst ratings
   6. 4-6 weeks of news (for sentiment analysis)
2. Data Cleaning
   1. contamination and fat-fingers checks
3. Command-line charts (plotext) for rapid pre-assessments
4. Excel exports with full data and presentable charts
   1. multiple sheets
   2. integrated charts
   3. experimental feature option: Python cells (needs Excel MS365)
5. Hidden Markov Models for market regime detection and volatility forecasts
   1. Market Microstructure Analysis (mlfinpy)
   2. Uses information bars (dollar and volume bars)
6. Backtests with Zipline-reloaded and Walk-Forward tests with PyBroker
7. Portfolio management (pyfolio-reloaded)
   1. many different optimizations besides Markovitz
   2. copulas support
   3. (C)VaR, Monte Carlo simulation, ...
8. Institutional trading techniques (quantstats)
   1. Trend Following
   2. Buy-and-hold strategy benchmark
   3. Volatility Targeting
   4. ...
9. Model- and scenario-based valuation
   1. simulation based (r)DCF
   2. EBITA Multiples and peer group analysis
   3. horizontal scans over 100s of assets
   4. ...
10. Jupyter Notebook support
    1. Hamilton DAG architecture
11. No cryptocurrency-specific regimen