About Diplyzer

Good research has always required the same ingredients: real data, rigorous computation, and the ability to synthesize across multiple domains at once. The problem has never been a shortage of data — it has been the time and infrastructure required to assemble it.

Pulling price history, cross-referencing SEC filings, computing factor scores, running pattern detection, reading the earnings transcript, and checking macro context — across a single stock — is a multi-hour undertaking done well. Across a full watchlist, it is effectively impossible without a dedicated research team.

Diplyzer was built to solve that problem.

What is Diplyzer?

Diplyzer is a Deep Financial Research Platform. It is not a chatbot that answers one question at a time. It is not a static dashboard. It is a research engine that thinks across every dimension of the market simultaneously.

You describe what you want to understand — a stock, a setup, a sector, a macro event. Diplyzer deploys a full research workflow behind the scenes: retrieving real-time and historical data, running technical computations across multiple timeframes, scanning for chart patterns, pulling insider and institutional filings, synthesizing news and social media sentiment — and returns a complete, interactive research report in one response.

One prompt. Full analysis. Institutional depth.

Not one data point — a synthesis. Not a search result — a rigorous quantitative overview.

The Three Market Problems Diplyzer Solves

1. Information Fragmentation

The data exists — real-time prices, historical patterns, insider filings, economic calendars, earnings transcripts, options flow, sentiment scores — but it is scattered across dozens of platforms, formats, and paywalls. Assembling a complete picture for a single research thesis takes hours. Diplyzer consolidates all of it into a single research interface.

2. The Research Depth Gap

Markets generate noise at industrial scale. The hardest part of any research workflow is synthesizing multi-factor confluence: the technical structure, the underlying financial health, institutional filing activity, and the macro backdrop — all in one view. Diplyzer synthesizes all four in a single quantitative report.

3. The Speed Problem

By the time an analyst manually runs a pattern scan, cross-checks insider filings, reads the latest earnings call, and reviews current news sentiment — the context has shifted. Diplyzer compresses a full multi-dimensional research session into a single request, delivering in seconds what used to take hours.

Who Uses Diplyzer?

Diplyzer is built for everyone who makes decisions based on market data:

• Active Analysts & Quantitative Researchers — screening for patterns, analyzing key technical inflection levels, and confirming multi-factor confluence
• Fundamental Analysts & Investors — analyzing financial statements, valuation ratios, earnings quality, and company health
• Macro & Fixed Income Strategists — tracking yield curves, economic calendar events, and sector rotation
• Institutional Flow Researchers — monitoring insider purchases, congressional stock disclosures, institutional 13F filings
• Alternative Data & Sentiment Analysts — combining social media sentiment, news flow, and technical structure
• Financial Content Creators & Analysts — generating data-backed market briefings, weekly recaps, and analysis pieces

What Can Diplyzer Analyze?

Diplyzer covers every major asset class through a single conversational interface:

How Diplyzer Researches

When you send Diplyzer a research request, it runs a complete, multi-step analytical workflow — not a keyword lookup, but a structured investigation:

1. Intent Recognition — Understands the full scope of what you want to know and plans the research accordingly.
2. Parallel Data Retrieval — Simultaneously pulls live price data, historical OHLCV, financial statements, insider filings, news, and social sentiment — across all relevant dimensions at once.
3. Computation & Analysis — Runs 70+ technical indicators, scoring models (F-Score, Z-Score, Altman, Beneish), pattern recognition algorithms, and custom formulas.
4. Cross-Dimensional Synthesis — Connects price action, technical structure, fundamental financial health, institutional filings, and the sentiment landscape into a unified view.
5. Research Report Delivery — Returns an interactive, multi-component research report: candlestick charts, dashboards, annotated pattern overlays, data tables, and a written analytical narrative — all in one response.

Every output is built from scratch for your specific question. No cached summaries. No generic answers. A complete, custom analysis every time.

Diplyzer vs. The Alternatives

Traditional institutional data terminals cost upwards of $20,000 per year and require weeks of training. Generic AI chatbots hallucinate stock prices and cannot compute real quantitative models. Diplyzer is built to bridge this gap, synthesizing technical, fundamental, and alternative data in the same response.

Diplyzer gives every analyst and researcher a full research team in their pocket — one that retrieves real data, runs real computations, synthesizes every market dimension, and delivers a complete analysis in seconds.

Example Questions You Can Ask Diplyzer

Here are some examples of how traders and analysts use Diplyzer every day:

Get Started

Ready to turn your market questions into market intelligence?

Start with our Getting Started Guide to learn how to frame questions, interpret outputs, and explore Diplyzer's full analytical power.

Then explore our topic guides:

• Technical Analysis & Chart Patterns — indicators, patterns, and multi-timeframe structural analysis
• Smart Money Concepts — institutional flow, order blocks, and market structure
• Fundamental Analysis — financial statements, valuation, and company health
• Market Intelligence — insider trades, congressional disclosures, and institutional flow
• Market Sentiment & News — news intelligence, social media sentiment, and sentiment scoring