Grab Ticker, Fill Price, and Quantity from a Webull Order Screenshot
Grab ticker symbol, fill price, ordered vs. filled quantity, extended hours indicator, and order type from any Webull order confirmation — all in one batch with one column set. 18x faster than typing into a trade journal.
5-10s per screenshot · Up to 99% accuracy on printed text
What You Can Grab from a Webull Order Screenshot
With Custom Column Extraction, name the fields and the AI reads each piece by what it means — ticker, fill price, ordered and filled quantities, EXT/REG session marker, and exchange route.
The AI reads it by stock-symbol format and visual prominence at the top of the order card.
Per-share execution price, distinguished from the NBBO bid/ask snapshot by position and formatting.
Webull shows both separately. The AI reads them as two distinct fields — Ordered Qty and Filled Qty.
The small REG or EXT tag tells regular vs extended-hours. The AI reads this as a standalone session field.
Market or limit, Day/GTC, exchange route (NSDQ, NYSE, ARCA). The AI reads all three from the order metadata.
Webull Packs More Trade Metadata Than Any Other Retail App
Webull's order confirmation packs exchange route, time in force, extended hours marker, and dual quantities — data traditional OCR treats as stray text. Semantic extraction reads each field by what it represents.
Two Quantities, One Screen
Webull displays "Ordered: 100" and "Filled: 50" separately when a fill is partial. A dump tool grabs whichever number it finds first — often the wrong one. Entering the wrong quantity into a journal breaks position tracking.
The EXT/REG Tag Gets Skipped
A tiny "EXT" or "REG" mark next to the fill price tells you whether the trade was regular or extended-hours. After-hours fills have wider spreads and different liquidity — but most extraction tools skip this label entirely because it's small metadata, not a data field.
Metadata as Inline Noise
Webull prints exchange route, time in force, and a commission note as inline supplementary text. Traditional OCR dumps these as noise between the numbers you actually want — they aren't labelled data pairs with clear delimiters.
Each Quantity Gets Its Own Column
Define Ordered Qty and Filled Qty separately. The AI reads "Ordered" as the intended size and "Filled" as the executed size — for full and partial fills alike.
Session Indicator as a Structured Field
Define a column called Session. The AI reads the REG/EXT tag next to the price — it knows "EXT" means extended-hours trading and "REG" means regular session.
Metadata Becomes Sortable Columns
Define Route and Time in Force. The AI reads "EXCH: NSDQ" as the exchange route and "TIF: DAY" as the duration. What was noise in raw OCR becomes filterable columns in your journal.
As one trader on r/Webull described it: "I've been trading on Webull for several months now, and I've gotten to the point where my account history and a few notes just aren't enough anymore." — structured extraction fills the gap.
From a Webull Confirmation to a Structured Trade Journal
If you're logging Webull trades in a journal and need the full metadata — not just ticker and price — here's what the extraction workflow looks like:
Upload the Order Confirmation Screenshot
Drop your Webull order confirmation screenshot into the upload area — whether it's a fully filled market order during regular hours or a partially filled limit order executed in the pre-market session (with that small EXT tag next to the price). PNG or JPG. One file or a batch of 50 trades mixed with Robinhood and Coinbase screenshots.
Name Your Journal Columns
Define the fields your journal needs: Ticker, Fill Price, Ordered Qty, Filled Qty, Session, Order Type, Time in Force, Route. Add a Computed Column like Fill % (Filled / Ordered * 100) if you want partial-fill ratios calculated during extraction. The AI reads each field by what it means — no per-order configuration needed.
Export a Metadata-Rich Journal Entry
Processing takes about 5-10 seconds per screenshot. The output is one XLSX or CSV file with a row per trade and the columns you defined as headers — ticker, price, both quantities, session, order type, route, and time in force all in one place. Export directly to Excel or push to Google Sheets via the add-on. One screenshot, one complete journal row.
When Webull Screenshot Extraction Works Best — and When It Doesn't
When It Works Best
Clear, direct screenshots from the Webull app. Machine-rendered ticker symbols, fill prices, and quantities reach up to 99% field accuracy.
Batch cross-platform trade journaling. The same column set extracts from Webull, Robinhood, Coinbase, and Binance in one batch.
Order confirmation screenshots with full metadata visible. The detail view showing exchange route, time in force, and the EXT/REG indicator gives the richest extraction result.
When to Be Cautious
Cropped or forwarded confirmation screenshots. Images compressed through messaging apps lose detail — ticker symbols and the small EXT/REG tag degrade first. Spot-check these.
Multiple partial fills consolidated on one screen. Webull may show a summary of several fills in one confirmation. For per-fill granularity, screenshot each fill separately.
P&L figures and the "commission-free" note. Webull trades are commission-free, but SEC and regulatory fees still apply and aren't reflected on the confirmation. Always verify extracted P&L against your Webull monthly statement for tax reporting.
Frequently Asked Questions
Can I extract the Ticker, Fill Price, and both Ordered Qty and Filled Qty from a Webull order confirmation screenshot?
Yes. Define columns for Ticker, Fill Price, Ordered Qty, Filled Qty, Session, and Order Type. The AI reads each field by semantic understanding — it distinguishes ordered from filled quantity by reading the label context, and preserves "Ordered: 100" and "Filled: 50" as two distinct data points, not one. No labels are needed because the AI understands what each data element represents.
The EXT/REG extended hours tag — can the AI extract that as a separate column?
Yes, it extracts as a distinct field. Define a column called Session. The AI reads the small "EXT" or "REG" tag by its position next to the fill price and recognises it as a session indicator — not as part of the price. In your journal, you can filter by session type to analyse whether extended-hours fills perform differently from regular-session trades — useful context most trade logging tools don't capture.
Can I batch Webull order confirmations with Robinhood and Coinbase screenshots in one export?
Yes. Define one set of column names — Ticker, Fill Price, Quantity, Trade Date, Order Type — and the AI processes Webull, Robinhood, Coinbase, and Binance in a single batch. Each screenshot becomes one row in the output, regardless of platform. Platform-specific fields — like Webull's Ordered Qty vs Filled Qty, or the Session marker — fill only when that data is visible on the screenshot.
The order confirmation shows a bid/ask spread snapshot — can I extract that alongside the fill price?
If the NBBO bid/ask snapshot is visible, define columns called Bid and Ask alongside Fill Price. The AI distinguishes the fill price from the bid/ask reference by reading their labels and positions — the fill price is the executed value, the NBBO display is separate market data. Useful for comparing fill quality relative to the quoted spread at execution.
Can I compute P&L during extraction for my Webull trades?
Yes. Add a Computed Column like P&L ((Current Price − Fill Price) × Filled Qty) or Cost Basis (Fill Price × Filled Qty) to calculate during extraction. Note that Webull trades are commission-free, but SEC and regulatory fees still apply — always reconcile extracted P&L against your Webull monthly statement for tax or audit purposes.
Deep dives into Webull and trading screenshot extraction: General screenshot extraction guide with a dedicated trading and investment logs section covering the full workflow · Custom column extraction on screenshots — how to define fields for any trading app UI
For extracting data from other trading apps in the same batch, see the Trading & Investment Screenshots hub — covers Robinhood, Coinbase, Binance, Webull, eToro, and more.