Diplyzer is Live: AI-Powered Market Intelligence for Smarter Trading Decisions

Financial markets generate more data today than any single analyst or trader can synthesize. Every session brings thousands of price movements, macroeconomic releases, SEC filings, insider transaction reports, corporate earnings, and derivatives flow.

For years, accessing and unifying this level of multi-dimensional intelligence required expensive institutional setups — or hours spent manually cross-referencing fragmented tools. Research-grade analysis was a privilege of institutional desks.

Today, that changes. Diplyzer is officially live.

Diplyzer is a conversational AI agent designed specifically for financial markets. Ask it anything. It doesn't summarize headlines or return a static chart — it retrieves real data, runs real calculations, and delivers complete, research-grade intelligence through a single prompt.

Beyond the Chatbot: Real Data, Real Math, Real Intelligence

Generic AI assistants generate text based on training data. In finance, that leads to hallucinated stock prices, fabricated financial metrics, and stale commentary that sounds like analysis but isn't grounded in reality.

Diplyzer is fundamentally different. When you ask it a question:

• It retrieves live and historical price data, financial statements, Form 4 insider filings, 13F institutional portfolios, macro time series, options flow, congressional disclosures, and more — in real time.
• It computes — indicators, market structure models, valuation frameworks, statistical tests, and strategy simulations run against real data. Not approximations. Not language model guesses.
• It synthesizes price action, fundamental health, catalyst events, positioning data, and market sentiment into a single, cohesive research output.

Real data. Real math. Real analysis — not generated text that resembles intelligence.

How It Works: The 5-Step Agentic Workflow

Behind Diplyzer's simple chat interface lies a multi-stage intelligence engine that mirrors the workflow of an institutional research desk:

1. Intent Recognition — The agent parses your natural language question to identify tickers, timeframes, analytical dimensions, and required data domains.
2. Parallel Data Retrieval — It simultaneously queries multiple live data sources: price feeds, financial disclosures, catalyst feeds, macro series, and market news.
3. Computation & Analysis — A dedicated analytical engine executes the math: indicators, pattern recognition, valuation models, statistical tests, and strategy backtests.
4. Cross-Dimensional Synthesis — The agent cross-references findings across every data domain — checking whether technical momentum aligns with fundamental strength, insider buying, and macro tailwinds simultaneously.
5. Research Report Delivery — The platform renders bespoke interactive charts, multi-panel dashboards, formatted data tables, and structured written takeaways.

One question. Complete analysis. In seconds.

What You Can Ask Diplyzer

This is where it gets interesting. Diplyzer isn't constrained to a fixed set of reports or templates. You ask — it figures it out.

Market Structure & Smart Money Concepts

"Identify every unmitigated bullish order block and Fair Value Gap on EURUSD daily, map the active session kill zones, and tell me if price is approaching any key liquidity pool."

Automated Order Block detection, Fair Value Gap identification, Break of Structure and Change of Character signals, liquidity zone mapping, and session range overlays. In one prompt.

Chart Pattern Recognition

"Scan every S&P 500 tech stock for a developing Cup & Handle or Bull Flag pattern, show only those with RSI below 50 on daily timeframe, and flag the ones with earnings in the next 30 days."

Diplyzer detects 14 chart patterns and 60+ candlestick patterns across any universe of assets with real-time price data.

Technical Analysis — Any Combination, Any Asset

"Show me NVDA on the weekly with Bollinger Bands, ATR volatility bands, volume profile, and VWAP anchored to the last earnings date — and tell me if current price action is compressing or expanding."

Over 70 indicators computed live. Any combination. Any chart. No code, no configuration.

Options Intelligence & Dealer Positioning

"Calculate net dealer gamma exposure on SPY across all strikes into this Friday's expiry. Find the gamma flip level, pull the top 10 bullish call sweeps over $200K from today, and cross-reference with dark pool print clusters near support."

Spot-gamma profiles, hedging flow boundaries, real-time options sweeps and blocks, dark pool volume by level, and IV rank term structure — connected.

Catalyst & Insider Flow Intelligence

"Find every S&P 500 company where an executive purchased more than $500K of stock in the last 45 days. Cross-reference those names with recent institutional 13F increases, Piotroski score above 7, and a DCF discount-to-fair-value of more than 20%."

SEC Form 4 filings, 13F institutional holdings, congressional disclosures, financial health scoring, and valuation modeling — synthesized in a single response.

Fundamental Deep-Dive

"Give me a complete fundamental teardown of Microsoft: income statement trend, FCF yield vs peers, gross margin trajectory, R&D as a % of revenue, debt maturity schedule, and where the stock is trading relative to its historical EV/EBITDA range."

Full financial statements, 100+ valuation ratios, peer comparison, analyst consensus, earnings transcripts, and ESG ratings — all queryable through plain English.

Strategy Backtesting & Performance Analysis

"Backtest this strategy on NVDA over the past 5 years: buy when the daily RSI drops below 35 while price is above the 200-day EMA, and exit when RSI crosses back above 65. Show me the equity curve, win rate, max drawdown, Sharpe ratio, and worst 10 trades."

Ask Diplyzer to design, test, and evaluate any rules-based strategy against real historical data — with full performance attribution. Diplyzer handles the math.

Parameter Optimization

"What combination of fast and slow EMA crossover lengths on Bitcoin daily data would have maximized risk-adjusted returns over 2 years, subject to a maximum drawdown of 20%?"

Tell Diplyzer what you want to optimize for. It runs the search and returns the results.

Pairs Trading & Statistical Arbitrage

"Test Coca-Cola vs PepsiCo for cointegration over 2 years. Calculate the current z-score of the spread, estimate the mean-reversion half-life, and tell me whether the pair is diverged enough to enter a trade today."

Full cointegration testing, z-score spread tracking, and statistical divergence signals — no code required.

Portfolio Construction & Risk Engineering

"Build a risk-balanced portfolio across 5 asset classes: AAPL, NVDA, GLD, TLT, and BTC. Allocate weights to equalize risk contribution from each position. Show me the projected annualized volatility, expected Sharpe ratio, and maximum drawdown under a 2008-style crash scenario."

Diplyzer constructs portfolios, optimizes allocations, stress-tests against historical scenarios, and visualizes risk concentration.

Multi-Domain Confluence — Where Diplyzer Connects the Dots

This is what separates Diplyzer from every other tool. No single signal tells the full story. Diplyzer cross-references every data domain at once:

"Find me names where: (1) a C-suite insider bought over $500K in the last 30 days, (2) institutional 13F holdings increased last quarter, (3) dark pool volume spiked above 40% of total volume this week, (4) price is sitting inside a bullish daily order block, and (5) the Piotroski score is above 6."

That's SEC filings, institutional positioning data, dark pool flow, technical market structure, and fundamental health scoring — unified into a single screened output. In one question.

"Correlate Federal Reserve reverse repo drain rate and SOFR levels against sector performance across tech, energy, and financials over the last 6 months. Overlay key Fed meeting dates and tell me which sectors historically outperform in a tightening liquidity environment."

Macro plumbing, central bank data, sector relative performance, and historical regime analysis — connected.

Built for Every Trading Style

Institutional Depth. Accessible Pricing.

Traditional financial research terminals cost up to $24,000 per year and require months of training. Standard AI assistants lack real-time data and the ability to compute anything. Diplyzer bridges the gap.

Bloomberg charges $24,000 a year for a platform that requires months of training. Diplyzer gives you institutional-grade intelligence — through a simple conversation.

What's Next

The public launch is just the beginning of our mission to build autonomous intelligence for financial markets:

• Phase 1 — Live Now: Conversational research agent delivering real-time data, institutional-grade computation, SMC analysis, pattern detection, backtesting, and catalyst synthesis.
• Phase 2 — Upcoming: Proactive thesis monitoring — automated alerts when market structure shifts, catalysts align, or confluence criteria are triggered on your watchlist.
• Phase 3 — Future: Autonomous research swarms — multi-agent frameworks running 24/7 background research pipelines customized to your strategy and screening frameworks.

Start Researching Today

Stop guessing where you should be certain. Get clear, research-grade market intelligence through a single prompt.

Launch Diplyzer → — Start free, no credit card required.

Explore our learning library to master specific research frameworks:

• Getting Started with Diplyzer
• Technical Analysis & Chart Patterns
• Smart Money Concepts (SMC) Guide
• Understanding AI in Financial Markets
• Options Flow & Derivatives Intelligence