Getting Started with Diplyzer

Welcome to Diplyzer. This guide will walk you through everything you need to know to run deep, institutional-grade market research in minutes — through a single natural language prompt.

Diplyzer is not a chatbot you query one fact at a time. It is a research agent that receives your research intent, deploys a full analytical workflow, and returns a complete multi-dimensional report. One prompt. Full analysis.

Step 1: Setting Up Your Account

Once you create your account, you will land in your Workspace — the main interface where all your market conversations happen.

The workspace is organized around a single principle: you ask questions, Diplyzer delivers analysis. There are no complex menus to navigate, no dashboards to configure, and no settings to wrestle with.

A few things to familiarize yourself with:

• The chat input — where you type your market questions and analysis requests
• The output panel — where Diplyzer renders your charts, dashboards, tables, and written analysis
• Your conversation history — past analyses are saved so you can revisit your research

Step 2: Framing Your Research Request

The most important skill in using Diplyzer is knowing how to describe your research intent. Unlike rigid software tools that require menu navigation, Diplyzer understands natural language — and the more context you give it, the richer and more complete the analysis you receive.

Think of each message as briefing a research analyst: tell them what you want to understand, about which asset, and at what scope or timeframe. Diplyzer handles everything else.

The Anatomy of a High-Quality Research Request

A strong request tells Diplyzer three things:

1. The subject — which asset, ticker, market, sector, or theme
2. The research dimensions — technical? fundamental? sentiment? market intelligence? all of the above?
3. The scope — timeframe, depth, comparison targets

Examples of high-quality research requests:

Step 3: Understanding Your Outputs

Diplyzer generates different types of outputs depending on what you ask for. Here is a guide to each:

Interactive Charts

When you ask for technical analysis, Diplyzer renders full interactive candlestick charts with indicator overlays. You can hover over any candle to see its exact OHLCV values, zoom into specific time ranges, and toggle overlays on and off.

Charts include:

• Price candles with volume bars
• Indicator subplots (RSI, MACD, and more in separate panels)
• Pattern annotations (highlighted zones, necklines, triangles)
• Support and resistance lines
• Session markers for forex and futures traders

Dashboard

For comprehensive analyses, Diplyzer generates dashboards combining everything into a unified view.

Written Narratives

Diplyzer always accompanies visual outputs with a clear written analysis that explains what the data means, what signals are present, and what context is relevant. This is the "so what?" that turns raw data into actionable intelligence.

Data Tables

For fundamental queries, market movers, insider trades, or financial metrics, Diplyzer returns structured data tables with all the relevant information organized clearly.

Step 4: Building on Your Analysis

Diplyzer is most powerful when you treat each session as a progressive research investigation rather than isolated questions. Each response is a starting point you can deepen, compare, or extend.

Example research progression:

Diplyzer returns a complete multi-dimensional report. Now go deeper:

Then add the intelligence layer:

Then time the entry:

Each request builds a complete, conviction-backed research thesis — from first look to trade-ready.

Pro Tips for Getting the Best Results

Start with a full multi-dimensional request. Instead of "tell me about Tesla," say: "Full analysis of Tesla: technical chart setup (3-month daily), current fundamental health, any insider activity in the last 60 days, and analyst consensus. What does the complete picture say?" This is where Diplyzer's depth becomes immediately visible.

Layer research dimensions. Ask for technical, then fundamental, then market intelligence, then synthesis. Or combine them in a single comprehensive request — both work.

Ask for comparisons. Diplyzer excels at comparative analysis. Try: "Compare the fundamental quality and technical setups of Apple, Microsoft, and Google. Which has the most attractive combined picture right now?"

Use it as a research partner. Describe what you want to decide or understand, not just what you want to see. "Help me build a conviction case for or against owning [stock] right now. Cover technical timing, fundamental quality, market intelligence, and sentiment."

Combine asset classes. Ask about correlations between the Dollar Index and gold, how Treasury yields are affecting growth stocks, or how Bitcoin's dominance trend affects altcoin positioning. Diplyzer handles multi-asset synthesis naturally.

Sample Starter Questions to Try Right Now

Here are some great first questions to get you started immediately:

Market Overview

Stock Analysis

Pattern Scanning

Fundamental Research

Sentiment Check

Market Intelligence

What's Next?

Now that you understand how Diplyzer works, explore the topic guides to master specific research domains:

• Technical Analysis & Chart Patterns — indicators, patterns, and timing your entries
• Smart Money Concepts — institutional market structure, order blocks, and kill zones
• Stock Market Research — stock screening, fundamentals, market intelligence, and AI analysis
• Day Trading — intraday strategies, scalping, and pre-market preparation
• Tutorials & Workflows — complete step-by-step research session walkthroughs