"I build on what others have built — so that the next can build higher."
I'm Nicola Montanari — a self-taught developer passionate about automation, trading systems and applied machine learning.
I build open tools to explore the intersection of trading platforms and intelligent software architecture.
This repository acts as the central hub for a modular suite of tools that extend the Quantower trading platform through Reinforcement Learning (RL) and automation.
🔹 Technologies: C#, Python, TensorFlow, Streamlit, SQLite
🔹 Style: Modular, event-driven, developer-friendly
🔹 Goal: Build, learn, test, and share better infrastructure for algorithmic trading
| Project | Description |
|---|---|
Neo.Quantower.Toolkit |
Core framework for modular plugin development in C# |
Strategy Manager |
Component for managing trading strategies, SL/TP and metrics |
RL.Training.Core |
Python backend for training reinforcement learning agents with streamlit ui |
RL.Quantower.UIBridge |
Experimental plugin to control RL agents directly in Quantower |
🛠 Work in progress
🚀 Open to collaboration
🔗 All modules actively evolving
Use the Project Board to follow feature planning, task status and roadmap.
- Email: [email protected]
Thanks for checking out my work. Feel free to fork, explore or get in touch.