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STACKLAB

StackStackLabLab

Learn & Earn
Faster with
Agentic AI

Build a data-driven investment portfolio using statistical principles and proven strategies. Discover new market opportunities and learn systematic trading approaches backed by robust analysis.


Meet Your Agent

Your trading peer and data-driven investment assistant

Office Gopher

v1.0

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StackLab Agent

Your trading peer and data-driven investment assistant

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Get Stock Data
Get Company Info
Get Today's News
Teach Me
Rebalance My Portfolio
BETA
Query Trading Notes
BETA

All signal, no noise (except the intern)

Technical Analysis

Demo

Stock Comparison

Demo

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Prospect List

Demo
AAPL
2.3%
SMA: $175.32RSI: 62.5
Neutral
MSFT
1.7%
SMA: $342.87RSI: 58.1
Neutral
GOOGL
1.4%
SMA: $138.45RSI: 42.3
Neutral

Technical Analysis - AAPL

Demo

RSI Indicator

62.5
Neutral

SMA Indicator

$175.32

Never Fall Short On Trade Ideas Again

stacklab.finance

Stay updated with real-time market analysis and expert insights

Instantly Run Optimisation Simulations

What We Offer

Comprehensive Dashboard

All-in-one command center with portfolio overview, performance metrics, and trading tools in a customisable interface.

StackLab Agent

AI-powered assistant that analyses market data, suggests trades, and helps optimize your investment strategy in real-time.

Portfolio Optimiser

Advanced algorithms to balance your investments, minimise risk, and maximise returns based on your financial goals.

Market Analysis

Real-time data visualisation, technical indicators, and market sentiment analysis to identify emerging trends.

Risk Assessment

Sophisticated risk evaluation tools to help you understand exposure and make confident investment decisions.

Trading Education

Learn market fundamentals, advanced trading strategies, and AI-assisted investment techniques through interactive guides.

🤝 Trade Offer!
You Receive:Two Weeks Free Access
We Receive:Your Feedback

You're super early. We're not even in beta...but we're chasing alpha.

We're offering two weeks of free base plan access to the platform in exchange for user feedback. Your input will help improve StackLab's features and functionality.