Zignol AI Case Study
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Client
3iTeam International (Flagship Product)
Industry
FinTech / Stock Market Analytics
Engagement
In-house product development
Platforms
Web Application
Executive Summary
Zignol.ai is an AI-powered co-pilot for Colombo Stock Exchange (CSE) investors. It brings together computed market intelligence and structured fundamentals so investors can make faster, more confident decisions—without needing to manually stitch together price history, report figures, and technical context.
Zignol provides computed, decision-support information (market signals, fundamental indicators, and contextual metrics) and an interactive chat-based experience that allows investors to explore insights, ask questions, and validate their own thinking—similar to how they would use ChatGPT, but focused on investing workflows.
Market Intelligence
Computed market signals and technical indicators synthesized for actionable insights
Chat-based Experience
Interactive AI assistant to explore insights, ask questions, and validate investment thinking
Decision Support
Structured fundamentals and contextual metrics for confident investment decisions
The Problem
CSE investors commonly face three practical barriers:
Information is Scattered
Price behavior, liquidity signals, order book context, and quarterly/annual financials are usually spread across multiple sources and formats.
Reports Are Not Decision-Ready
Financial PDFs contain important numbers, but extracting and interpreting them consistently—across different periods and scopes—takes time and expertise.
Decision-Making Becomes Emotional
Without a consistent way to evaluate signals, investors tend to overreact to short-term moves, rumors, or incomplete information.
The Goal
Build a focused product that helps investors make better decisions by delivering:
Reliable Computed Signals
Accurate, timely market signals derived from comprehensive market data analysis
Structured Financial Indicators
Key metrics extracted and organized; delivers easy interpretation
Chat-based AI Co-pilot
An interactive assistant to explore insights and clarify uncertainty in real-time
Disciplined Workflow
A process that supports consistency, discipline, and speed—without prescribing trades
The Solution: Zignol.ai
Zignol.ai centralizes key investing inputs and transforms them into computed, comparable, decision-support outputs. The platform is designed to answer the investor's real question:
"Given what the market is doing and what the company is reporting, what does the data objectively suggest—and what should I pay attention to next?"
What Zignol Delivers
Computed Summaries of Market Context
Recent price behavior and market context synthesized into clear, actionable insights
Structured Fundamentals
Key financial metrics extracted, organized, and made comparable across companies and time periods (where available)
Evaluation Metrics
Comprehensive indicators that help investors evaluate quality, momentum, and risk factors
Conversational Interface
An AI assistant to ask follow-up questions, explore scenarios, and deepen understanding of market dynamics
Key Capabilities
1. Computed Market Intelligence
Zignol converts raw market data into signals that investors can use in their own process, such as:
Price trend context and recent performance summaries
Volatility and movement expectations
Key technical levels (e.g., support/resistance, breakout context)
Volume and liquidity metrics to understand tradability and confirmation
These outputs help investors reason about risk, timing, and market structure—without being told what trade to place.
2. Structured Fundamentals From Company Reports
Zignol transforms report data into consistent fields investors frequently rely on, such as:
Earnings and per-share indicators (e.g., EPS, BVPS/NAV per share where applicable)
Revenue, profitability, and growth context
Balance sheet strength indicators (assets, liabilities, equity, debt, cash)
Operating cash flow (where available)
Scope awareness (e.g., consolidated vs company, when relevant)
The objective is to make the financial information usable and comparable, not buried inside PDFs.
3. Chat-Based AI Co-Pilot Experience
Zignol includes an AI chat interface—built specifically for stock investing workflows. Users can:
Ask questions about computed metrics and what they imply
Compare periods (annual vs latest interim)
Clarify definitions (e.g., YTD, scope, per-share values)
Explore "what should I watch next?" based on the data
Build their own conviction through structured reasoning
This conversational layer makes the platform feel less like a static dashboard and more like a daily investing companion.
How Zignol.ai Is Used (Typical Workflow)
A typical investor interaction looks like this:
Select a Stock
Choose the company you want to research from the Colombo Stock Exchange
Review Computed Market Signals
Analyze trend, volatility, key levels, and liquidity context to understand market behavior
Review Structured Fundamentals
Examine profitability, growth metrics, and balance sheet strength to assess company health
Use the Chat Co-Pilot
Ask targeted questions and confirm your interpretation with the AI assistant
Make an Independent Decision
Armed with stronger clarity and less noise, make your investment decision with confidence
Value Delivered
Zignol.ai helps investors improve decision-making by offering:
Reduced Analysis Time
Centralized, computed outputs eliminate manual data gathering across multiple sources
Consistent Evaluation
Standardized signals and indicators ensure reliable comparisons across stocks and time periods
Better Clarity
Clear understanding of what the data is actually saying, not what rumors suggest
Less Noise-Driven Decisions
Guided exploration through chat helps filter out distractions and focus on what matters
Repeatable Process
A disciplined workflow that supports consistency—without prescribing specific trades
Ready to Make Smarter Investment Decisions?
Join investors who are using AI-powered insights to navigate the Colombo Stock Exchange with confidence.
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