Tradytics: Options Flow, Dark Pools and Stock Research

What is Tradytics?

Tradytics is a market-research platform combining options flow, off-exchange stock-trade reports, charting, stock screening and ticker-level research. Its current product also includes an AI analyst and tools for programmatic access.

The main attraction is the ability to research a stock through several kinds of evidence in one place. A scanner can identify a name, the options pages can show its contracts and premium activity, and the research and chart views can help investigate the surrounding event and price behavior.

These datasets answer different questions. Options flow records transactions in options. Dark-pool pages describe reported stock trades. Gamma analysis estimates exposure using a model. Combining them is useful only when their definitions and timestamps remain clear.

At a glance

Table of contents

Reading the options flow

Tradytics’ options-flow introduction describes large reported trades with fields such as symbol, option type, strike, expiration, execution size, premium and inferred side. Its live feed also uses execution-type labels and tags to help organize activity.

Start with the contract rather than the sentiment color. An in-the-money option with a distant expiration expresses a different exposure from a short-dated out-of-the-money option, even when the premium totals look similar.

An execution near the ask can suggest aggressive buying, while one near the bid can suggest aggressive selling. Those are classifications based on the available market information. They do not reveal the trader’s identity, complete portfolio or intent.

A put transaction may be a hedge against stock exposure. A call may accompany a short stock position or another option leg. Treat an apparent bullish or bearish reading as an interpretation to investigate, rather than a description of everything the investor is doing.

Premium, contracts and unusual activity

Contract count measures quantity. Premium weights transactions by the price paid for the options. They can point to different names because contract prices vary substantially.

A large premium is informative about transaction scale, but its importance still depends on the stock’s normal options activity, liquidity and the structure being traded. Comparing a broad-market ETF with a smaller company using only raw dollars can hide how unusual each observation actually is.

Volume and open interest add another distinction. Volume accumulates during the session; open interest counts outstanding contracts through the clearing process. High volume relative to OI can identify activity worth examining, but it does not reconstruct every opening and closing transaction within the day.

For a repeatable flow scan, keep the expiration window, liquidity standards and transaction criteria stable long enough to evaluate what they contribute.

Dark-pool prints are reported stock trades

The official dark-pool guide explains that Tradytics groups off-exchange stock prints under a dark-pool label. That category is broader than trades executed only within an alternative trading system.

A print provides information about a reported trade’s price, size and timing. It does not show an unfilled order waiting to transact, identify who initiated the trade or establish that a new long position was opened.

Timing deserves particular attention. Reporting conditions, late prints and prices agreed earlier can make a newly displayed record look like fresh interest at a price from another moment. Read the timestamp and available condition codes before comparing the print with the current chart.

Clusters of reported prices can form useful historical reference areas. Their existence does not guarantee that liquidity will remain at those prices or that they will act as support when revisited.

Gamma exposure adds a modeled layer

Tradytics includes dealer-level and gamma-exposure research. Its GEX explanation describes calculations built from option gamma, open interest and an assumption about dealer positioning.

Positive estimated dealer gamma is associated with hedging that can lean against price changes; negative gamma can be associated with hedging that amplifies movement. Negative gamma therefore does not, by itself, predict a decline. Its relevance is partly about how a move may develop in either direction.

Actual dealer books are not publicly visible in full. Model conventions, expiration coverage and the timing of OI updates all affect the output. If Tradytics differs from another GEX provider, compare the definitions and inputs before interpreting the difference as an error.

Use gamma levels as a separate layer of context, rather than treating a concentration of stock prints and a gamma wall as identical measurements.

Scanning and stock-level research

Tradytics combines technical and fundamental screening with options and off-exchange activity fields. That can narrow a large universe to names matching a research question.

For example, a user might look for liquid stocks showing both a notable price move and substantial options activity, then inspect earnings, analyst information and chart structure. The screener provides candidates; the ticker research provides reasons to keep or reject them.

The charting workspace supports drawing tools and multiple charts. Keeping a broader timeframe alongside an intraday view can help determine whether an apparent breakout is occurring inside an established range or beyond it.

How to use the AI analyst

The AI analyst can retrieve platform data and explain research in conversational form. This can reduce navigation and help locate an unfamiliar metric, but the response remains an interpretation of inputs.

Ask specific questions: which expiration carries the activity, which timestamp applies, or what the gamma model assumes. Then inspect the underlying table or chart before acting on the explanation.

Trade ideas and probability outputs also require context. A tracked idea is not a complete record of every feasible fill, and a model probability is not an independently guaranteed success rate. The useful question is whether the output helps define a clearer hypothesis that can be reviewed later.

Getting started

1. Open research for one familiar ticker. Use a watchlist or a simple scanner to choose it, then put a broader chart beside an intraday view. Confirm the same symbol is being reviewed throughout the workspace.
2. Inspect that ticker’s options activity. Select an expiration window and read a few individual contracts: strike, call or put, execution time, size, premium and inferred side. This establishes what lies behind the aggregate totals.
3. Review off-exchange stock prints separately. Compare their timestamps and any available trade conditions with the stock chart. Keep stock share quantities separate from options contract counts and premium.
4. Add gamma context after checking its inputs. Read the model definition and expiration coverage, then compare the reference areas with the same ticker’s chart. Record the original observation before using the AI analyst to explore follow-up questions.

Suppose bullish-looking flow appears while price fails to advance. That divergence is a reason to examine the contracts, catalysts and subsequent activity. It does not automatically prove that price will catch up or that the flow classification is wrong.

Access, timeliness and suitability

The current official plan comparison distinguishes previous-session access from live options flow and expanded tools. AI allowances, trade-idea timing and API access can vary by plan. The existence of a live subscription should not be generalized into identical update speeds for every dataset.

For developers, the API documentation describes options, stock-trade, research and scanner endpoints. Check permissions, quotas, data conventions and historical coverage before relying on an endpoint for a workflow.

Tradytics is most useful for traders who prefer connected research across several datasets. Its value is easier to assess when the evaluation follows one complete routine, from screening a name to checking the evidence, instead of counting features or following every highlighted print.

Official sources

• Tradytics product overview and plans
• Options flow: fields and interpretation
• Dark-pool prints and their limits
• Gamma exposure and assumptions
• Live options flow
• Stock scanner
• API documentation