How Fast Do Schwab API Orders Fill? Signal-to-Fill Time and Slippage Measured on 294 Live Automated Orders (2026)

A Schwab API market order fills about as fast as you can measure it. Across 294 live orders that JorgAI placed in members' Schwab accounts between September 22 and November 3, 2026, the median buy went from the AI's signal to a confirmed Schwab fill in 1.0 second, the 90th percentile in 1.6 seconds, and 169 of 179 buys were filled within five seconds of the signal. The fill itself, from the moment the order reached Schwab to the moment Schwab reported it done, landed inside the same one-second poll for the median order. Exits were slower, a median of 3.5 seconds, for a reason that is ours rather than Schwab's. And price: half of the buys filled at or below the quote the signal was based on, half above, with a median of zero basis points and tails of about 45 basis points either way on the fast-moving names. This page is the full accounting, including the 18 rejections and the one order that took six minutes.

How we measured it

Every auto trade on JorgAI records three timestamps: when the AI issued the buy signal (the prediction row), when the order was submitted to the broker, and when the broker reported the fill. For Schwab the fill time and the average fill price come from Schwab's Trader API order status, which we poll about once a second after submitting. The signal quote is the price the analysis used at signal time, which comes from the IEX feed, not from Schwab; that matters for the slippage figures below. The sample is every live, non-paper auto order on Schwab in the 45 days to November 3: 179 buys and 115 sells, all market orders, across the members who had Schwab connected. Nothing here identifies a member or reports a result. Fill speed and fill price are mechanics, and they are the same for everyone on the same API.

Signal to submit: under a second

Before Schwab is involved, the system has to decide and send. From the AI's buy signal to the order leaving our server took a median of 0.8 seconds and a 90th percentile of 1.4 seconds. 167 of 177 measured buys were on their way within five seconds. That gap is the risk checks: confidence floor, daily spend limit, position count, sector cap, price ceiling, buying power, then the Schwab call. The exceptions are the ones that matter. Five buys took 31 seconds, which is one retry cycle when Schwab's first response was a token error; our token handling is described in the Schwab token post. One took 359 seconds: a member with buy approvals switched on, where the order waits for a tap in the app. Those six are in the chart's 30-seconds-plus bucket, and five of them are the token retry.

Submit to fill: inside the same second

Once Schwab had the order, the median fill was reported in 0.0 seconds, meaning the fill timestamp Schwab returned fell in the same second as our submission timestamp. The 90th percentile was 1.0 second and no buy took longer than that. Our poll runs once a second, so the honest statement is that Schwab fills a retail-sized market order in under a second during regular hours and we cannot resolve it more finely than that. It did not vary by time of day: the median was the same at the 9:30 open (14 orders), through the busiest hour at 10 AM (53 orders), and into the afternoon. It did not vary by size either, from orders under $100 to the ten orders above $2,000. For the sizes a retail automation places, Schwab's market order path has no queue we could see.

Exits: 3.5 seconds, and why

Sells took longer: a median of 3.5 seconds from submission to fill, a 90th percentile of 4.5 and a worst case of 22 seconds, across 95 measured exits. Schwab is not slower on the way out. The difference is that exits are placed by our position monitor, which confirms the fill on its own cadence rather than the tight poll the entry path uses, and a trailing stop or stop loss that fires is read back on the next pass. Three and a half seconds does not change what a stop does, but it is the number to have in mind when reading what happens to a stop when the connection drops, because the exit always has at least that much air in it.

Fill price versus the signal quote

This is the number traders ask about and the one most often misread. For each buy we compared Schwab's average fill price with the quote the AI used when it issued the signal, about a second earlier. The median difference was 0.0 basis points. 94 of 179 fills landed at or below the signal quote, 85 above. The mean was +2.7 basis points, which is $0.27 on a $1,000 order. The tails are where the information is: the 10th percentile was 45 basis points better than the quote and the 90th percentile 45 basis points worse, and 28 orders filled more than 25 basis points above it.

Two things produce those tails, and neither is Schwab taking a second to fill. The first is the quote source. The signal price comes from the IEX feed, which on a thin or fast stock can sit a few cents from the consolidated price that Schwab executes against; the real-time data comparison explains why we run the scanner on our own feed and use the broker's quotes only per member. The second is the names themselves. The momentum and discovery scanners flag stocks that have just moved, and a stock moving one percent a minute will move 45 basis points in the second between signal and fill in whichever direction it was already going. That is why the distribution is symmetric: the system does not pay a spread tax on average, it inherits the volatility of what it chose to buy.

The 18 rejections

Schwab rejected 18 of 294 orders, 6 percent of the sample, and all 18 fell between September 23 and 29, the first week after Schwab support went live. Every one carried the same message, "Could not resolve instrument," and every one was a symbol Schwab's order endpoint does not accept in the form a scanner produces: warrants, units and other non-standard tickers. We added a common-stock-and-ETF filter in front of the Schwab call that week, and there has not been a rejection since. The other failure that shows up in our logs is not an order failure at all: Schwab's market data token, which is separate from the trading token, expires and gets rejected until it refreshes, and that shows up as a skipped analysis, not a bad order. The rate-limits post covers the one real throttle on Schwab, 120 orders a minute per app, which no retail automation approaches.

What this means for a Schwab automation

• Speed is not the constraint. Discovery is. A system that takes a second from signal to fill is not what makes a trade late; how often the scanner looks is. If a trade feels late, measure the scan cadence before the broker.
• Measure against the fill, not the quote. If your backtest assumes fills at the quote, this sample says that is right on average and wrong by up to half a percent on the names that are moving, in both directions. Size the tails into your targets.
• Filter symbols before Schwab sees them. Schwab's API is strict about instrument names. A common-stock-and-ETF filter removed every rejection we had; our order-types comparison lists what each broker's API accepts.
• Expect the token to be the slow path. The five 31-second orders were token retries, not fills. Handle the 30-minute access token and the 7-day refresh deliberately and the latency distribution collapses to the one in the chart.
• Exits have a few seconds of air. Plan stops with that in mind; the connection-drop post is the longer version.

The engineering lessons behind these numbers, the date range the order list requires, the nested bracket legs and the bracket fallback, are in the Schwab Trader API explained.

Quick answers

How long does a Schwab API market order take to fill?

In our sample of 179 live buys, Schwab reported the fill within the same second as the submission for the median order, with a 90th percentile of one second and no buy over one second. From the AI's signal to the fill, including our own checks, the median was 1.0 second and the 90th percentile 1.6 seconds.

Does the Schwab API have slippage?

Against the quote used at signal time, the median fill was 0.0 basis points off and the mean 2.7 basis points worse, with half of fills at or below the quote. The 10th and 90th percentiles were about 45 basis points either way, driven by fast-moving names and the difference between the IEX quote and Schwab's execution price rather than by delay.

Why would Schwab reject an API order?

In our data, only one reason: "Could not resolve instrument," for non-standard tickers such as warrants and units, all in the first week. A common-stock-and-ETF filter in front of the order call removed it. Token errors show up as retries, not rejections.

Is the Schwab API fast enough for day trading?

For market orders in retail sizes, the fill path is sub-second and did not slow at the open or with size in this sample. Whether a strategy works at that speed is a separate question; the API is not the bottleneck.

Data: 294 live, non-paper auto orders placed by JorgAI in members' Schwab accounts from September 22 to November 3, 2026 (179 buys, 115 sells, all market orders); timestamps from our order records and Schwab's order status, polled about once a second; signal quotes from the IEX feed at analysis time. Platform-wide mechanics only; no member results, and past fill behavior is not a promise of future fills. Education, not financial advice.

If you want this measured on your own account, connecting Schwab to JorgAI takes a few minutes and every order's signal, submit and fill times are in your activity feed. Start a free trial, or read how the Schwab integration works first.