Not every big options bet is a smart one, and even the smart ones can be late. When an OptionsBell alert tells you a whale just bought a pile of calls, the number that matters is not the premium. It is the timing. Is this bet placed early, before a move, where you can ride alongside it? Or is it a chase into a stock that has already run, where you would be the last one in? StockMarketScan's chart patterns, trend watch, and market momentum let you grade that timing in a couple of minutes.

The question is timing, not size

A million dollars of call premium looks impressive in an alert email, but size alone tells you nothing about where you are in the move. The same footprint means opposite things depending on position: bought near the base of a pattern, it is a whale front-running a breakout; bought after the stock has already broken out and extended, it is a whale paying up late, and the easy part of the move may be gone.

Your job when the alert lands is to place the bet on the chart and in the broader tape, then assign it a grade before you decide whether to follow.

Three inputs that grade the timing

Pull three quick reads from StockMarketScan for the alerted ticker:

Chart patterns: is there a defined pattern, and where is price within it? Coiling inside a base or flag is early. Already extended past a breakout with a long candle behind it is late.
Trend watch: does the primary trend agree with the direction of the flow? Bullish flow with an up-trend is aligned; bullish flow against a downtrend is either a contrarian call or a doomed one.
Market momentum: is the broad tape supportive right now? A bullish bet grades higher when overall momentum is positive and lower when the whole market is rolling over.

Together these turn a flat alert into a graded one. You are no longer asking whether the flow is real; you are asking whether following it now gives you a good entry.

Grade it with one Claude prompt

Both tools run in Claude over MCP, so you can grade an alert in a single turn. Drop the ticker from your OptionsBell email into a prompt like this against the StockMarketScan MCP server:

OptionsBell just flagged unusual bullish call flow on VST at 24 DTE. Using StockMarketScan, check three things for VST: any current chart pattern and where price sits within it, the trend-watch read, and current market momentum. Then grade the timing of this options bet as EARLY, MID, or LATE, and explain in two sentences whether a whale here is likely front-running a move or chasing one.

Claude comes back with the three reads and a single grade. That grade is the decision input you were missing from the raw alert.

Reading the grade

Translate the grade into action:

Early: pattern is coiling or basing, trend agrees, momentum supportive. The whale is likely front-running. This is the highest-quality alert and the one worth a normal position with a stop below the base.
Mid: the move has started but is not extended. Trend and momentum still agree. A workable entry, but size a little smaller and be stricter on your stop since some of the move is already priced.
Late: price is extended past a breakout, or the trend and market momentum disagree with the flow. The whale may be chasing, and so would you. Either pass, or wait for a pullback to the breakout level before considering an entry.

The uncomfortable but useful case is a big, exciting premium print that grades LATE. The alert feels urgent, but the chart says the easy move is behind it. Grading protects you from the emotional pull of a large number.

Keep the alert facts honest

Before you lean on the grade, confirm the alert's own numbers so you are grading the right footprint. The OptionsBell API returns the exact Vol/OI, premium, IV, and DTE that triggered the email:

import os, urllib.request, json

req = urllib.request.Request(
    "https://optionsbell.com/api/v1/options-flow/unusual?since=2026-07-02T14:00:00Z",
    headers={"X-API-Key": os.environ["OPTIONSBELL_API_KEY"]},
)
with urllib.request.urlopen(req) as r:
    data = json.load(r)

for h in data["results"]:
    print(h["ticker"], h["direction"], h["vol_oi"], h["premium"], h["iv"], h["dte"])
# take each ticker into StockMarketScan and grade EARLY / MID / LATE

With the numbers confirmed and the grade in hand, your decision is clean: follow early and mid setups that align with trend and momentum, and let the late ones go unless the market hands you a pullback. Wire up the trigger at OptionsBell alerts, keep StockMarketScan open to grade each one, and find the API and MCP docs at optionsbell.com/docs.