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STRATEGY GUIDE

How to Read Options Flow: A Practical Guide

M
By Matt
Mining engineer turned options trader. Built Flow Proof because the existing tools weren't worth what they charged.

Disclaimer: All ticker prices, premiums, and return calculations shown are examples for educational purposes and reflect market conditions at the time of writing. They are not trade recommendations. Options trading involves significant risk of loss. Past performance of any strategy does not guarantee future results. Consult a licensed financial professional before trading.

You open your flow tool and see: NVDA 500 calls swept at the ask, $800K premium, 30 DTE. Bullish conviction? Maybe. Or maybe it's the long leg of a collar against a massive stock position. The difference between profitable flow trading and expensive confusion is knowing what to look for — and more importantly, what to ignore.

Step 1: Size Relative to Open Interest

A 5,000-contract order sounds large, but if open interest on that strike is 50,000, it's 10% of existing positioning — not earth-shattering. The same 5,000 contracts on a strike with 500 open interest? That's 10x the existing positions, which is genuinely unusual and likely represents new money entering.

This is the single most important filter. New positions opening (volume exceeding open interest) carry more signal than existing positions being traded between parties. When you see volume spike on a strike with minimal prior open interest, someone is building a new position from scratch.

Step 2: Execution Method Tells You About Urgency

How the trade was executed matters as much as the trade itself.

Sweeps: The order hits multiple exchanges simultaneously. The trader is paying whatever price each exchange offers to get filled immediately. This is the strongest urgency signal — they want this position now and they're willing to pay up.

Blocks: A single negotiated trade printed off-exchange. This is institutional by definition — retail can't access block trading. It suggests deliberate positioning but with less urgency than a sweep.

Limit orders filled over time: Patient accumulation. Less informative in real-time because the pattern only becomes visible after the fact, but it shows sustained institutional interest.

The hierarchy of conviction: sweeps > blocks > splits > single fills.

Step 3: Which Side of the Spread

A trade executed at or near the ask price means the buyer was aggressive — they paid the seller's price to get filled. For calls, buying at the ask is bullish. For puts, buying at the ask is bearish.

A trade at or near the bid means the seller was aggressive — they accepted the buyer's price to exit. This often indicates position closing rather than new positioning.

Trades near the midpoint are ambiguous — they could be spread orders, negotiated fills, or market maker activity. These carry less directional signal.

The bid/ask filter alone eliminates roughly 30-40% of flow noise. Combined with size and execution method, you're down to the trades that actually represent conviction.

Step 4: Check for Repeat Activity

One large trade could be anything. Three large trades on the same strike over two days, all swept at the ask? That's a pattern. Institutional traders often build positions over multiple sessions to avoid moving the market.

Repeat activity on the same strike and expiration — especially from different time windows — is one of the strongest signals in flow data. It suggests multiple institutions or the same institution building a conviction position over time.

Flow Proof tracks this automatically with its "RepeatedHits" signal. When the same strike sees unusual volume across multiple sessions, it flags the pattern and boosts the conviction score.

Step 5: What to Ignore

Most options volume is not directional. Here's what creates noise:

Market maker delta hedging: When market makers sell options to customers, they hedge with stock. The resulting options flow looks unusual but carries zero directional information.

Spread orders: A trader buying 1,000 calls and selling 1,000 calls at a different strike shows up as two separate "unusual" trades. Neither alone tells the story — it's a defined-risk spread, not a directional bet.

Rolling activity: Closing one expiration and opening the next. This is maintenance, not new positioning. The volume looks huge but the net directional exposure doesn't change.

Earnings hedging: Before earnings, every institutional holder hedges. The put volume spike isn't bearish — it's portfolio insurance. It disappears the day after the announcement.

Filtering these out manually is exhausting. This is the core reason I built conviction scoring — to automate the noise reduction so you only see the trades that survive all five filters.

Key Takeaways

Volume relative to open interest is the #1 filter — new positions matter more than recycled ones
Sweeps are the highest-conviction execution type, followed by blocks
Buying at the ask = aggressive/directional. Buying at the bid = likely closing
Repeat activity on the same strike across sessions is the strongest pattern
Most flow is market maker hedging, spreads, and rolling — learn what to ignore

Related Research & Tools

Options Flow Research
In-depth research on flow signals and scoring methodology
Conviction Scoring Explained
How the 20+ signals combine into a single conviction score
What Is Unusual Activity?
The basics of what makes options flow unusual
Compare Flow Tools
How Flow Proof's scoring compares to raw flow feeds

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Frequently Asked Questions

Do I need a paid tool to read options flow?

You can see basic volume and open interest on any brokerage. But real-time sweep detection, conviction scoring, and institutional pattern recognition require specialized tools. The free data is enough to learn the concepts; profitable application usually requires better signal filtering.

How is dark pool flow different from lit market flow?

Dark pool trades are executed off-exchange and reported after the fact. They're typically large institutional orders that would move the market if placed on a lit exchange. Dark pool prints above the midpoint tend to be bullish (buyer aggressive), below tend to be bearish. Flow Proof tracks both lit and dark pool activity.

Can retail traders compete with institutions using flow data?

You're not competing with them — you're following them. The edge isn't in beating institutional execution speed. It's in seeing their positioning before the stock moves and using that information to confirm your own trade thesis. Premium sellers use flow to verify institutional accumulation before selling puts.

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