## 🧠 Four ML Apps for Economics, Simulation, and Trading — by johnyse99

Community Cloud
,
1

Hello Streamlit community :waving_hand:
I’m Johny, a self-taught developer passionate about building analytical tools for economics, simulation, and financial markets. I’d like to share four apps I’ve built with Streamlit and Python, all publicly available:

:microscope: AI Spectrometry Simulator

Simulates emission spectra and detects chemical patterns using AI. Great for education and sample analysis.
Features:

  • Manual configuration of element concentrations
  • Interactive spectral graph with emission lines
  • Automatic detection with confidence levels
  • Quantitative analysis with real vs. predicted charts

:chart_decreasing: Historical Economic Crisis Monitor

Estimates recession risk by country using ML models and historical data. Includes critical warnings.
Features:

  • Current risk indicator with gauge visualization
  • Historical risk evolution since 2010
  • Risk threshold benchmark line
  • Critical alerts based on recession-like patterns

:abacus: GDP Nowcasting for Public Policy

Provides real-time GDP predictions using high-frequency indicators and ML. Offers policy recommendations based on scenario simulations.
Features:

  • Prescriptive scenario simulator (uncertainty, oil price, internal activity)
  • Quarterly GDP prediction with economic status diagnosis
  • Automatic policy recommendation (maintain, adjust, stimulate)
  • PCA-based economic activity index evolution since 2000

:chart_increasing: Trading Command Center v7.5 – Decision Engine

Capital management and trade execution app for traders. Calculates optimal positions, risks, and stop-loss/take-profit levels.
Features:

  • Capital management with per-trade risk control
  • Configurable tickers (stocks and crypto)
  • Automatic position sizing and SL/TP levels
  • Portfolio summary with capital optimization
  • Damage control with max loss per trade

:hammer_and_wrench: All apps are built with Python, scikit-learn, and Streamlit. The GitHub repositories are public and open for collaboration.
:open_mailbox_with_raised_flag: I’m open to feedback, suggestions, or improvements. Thanks for checking them out!

This version is concise, professional, and community-friendly. Would you like me to also prepare short README templates in English for each GitHub repo so they match this style? That way, everything looks consistent across your portfolio.