Autonomous Financial Agent

Beyond Simple Algorithms

IA Trader isn't just a script. It's a reasoning agent that combines real-time market data, technical analysis, and global news sentiment into a cohesive trading strategy.

1. Global Perception

Every hour, the agent scans major financial news outlets. It doesn't just read headlines—it analyzes sentiment, urgency, and relevance to specific sectors using Large Language Models.

2. Infinite Memory (RAG)

Unlike standard bots, IA Trader remembers. It uses a Vector Database to recall historical market contexts similar to today's, preventing it from repeating past mistakes.

3. Technical Precision

Sentiment is grounded in math. The agent calculates MACD, RSI, and Bollinger Bands for every asset, ensuring valid entry and exit points regardless of the hype.

agent_thought_process.log

# Analyzing NVDA Structure

context = rag_db.query("semiconductor dip 2024")

sentiment = "Constructive".analyze(news_feed)

if technicals.rsi < 30 and sentiment.is_positive:

execute_trade(symbol="NVDA", action="BUY")

Built on Modern Infrastructure

Cloud Run

Serverless Execution

Firestore

Real-time Data

LangChain

Agentic Framework

Alpaca

Secure Brokerage