【Morning Market Update】BTC and ETH edge higher; all three pairs are in the upper part of their ranges
Data timestamp: October 16, 2026, 09:00:36 Beijing time. All figures below are Binance spot USDT pairs. Price changes, ranges, and trading volumes use a rolling 24-hour period.
BTC: 82,335.07 USDT, +0.737% over 24 hours, with approximately 1.839 billion USDT in trading volume. ETH: 2,440.74 USDT, +0.758% over 24 hours, with approximately 1.045 billion USDT in trading volume. BNB: 729.65 USDT, -0.127% over 24 hours, with approximately 114 million USDT in trading volume.
Compared with a same-source snapshot saved at around 17:01 yesterday, the three pairs are up approximately 1.20%, 2.82%, and 0.95%, respectively. These figures reflect price changes over the roughly 16 hours between the two snapshots and use a different starting point from the rolling 24-hour changes above. ETH posted the largest gain over that comparison period, while its current 24-hour gain is close to BTC’s.
Current 24-hour ranges: BTC is 79,800.00–82,634.30, ETH is 2,318.00–2,467.05, and BNB is 708.64–735.30 USDT. Calculated as “latest price minus low, divided by the difference between the high and low,” the three are at approximately 89.4%, 82.3%, and 78.8% of their respective ranges—all in the upper quartile.
My observation: Compared with yesterday afternoon’s snapshot, all three pairs have recovered in price. In the current rolling window, BTC and ETH are posting gains, while BNB is nearly flat. It is worth watching whether the recovery can continue and whether the three pairs’ performance begins to move in sync. Assessment should take into account consecutive candlesticks and trading-volume data on the same basis; a single snapshot provides just one observation point.
These range positions describe historical trading ranges and do not directly indicate support, resistance, or future price targets.
Source: Binance’s official spot market data API; yesterday’s comparison is based on a same-source snapshot saved by this account. https://data-api.binance.vision/api/v3/ticker/24hr?symbols=%5B%22BTCUSDT%22,%22ETHUSDT%22,%22BNBUSDT%22%5D
September CPI is out. Why did U.S. prices rise while crypto fell first?
If you’ve been trading crypto for a while, you may have noticed a rather surreal phenomenon: gas gets more expensive for Americans, and your own account balance shrinks too.
This September CPI report is a classic example.
Yesterday, the U.S. released its September inflation data. My take: the report put short-term pressure on crypto, but it’s not enough on its own to determine where the market goes from here.
What the market cared about most was that core inflation was expected to cool—but it didn’t.
Headline CPI rose 0.6% month over month, in line with expectations. But core CPI, which excludes food and energy, rose 0.3% month over month, above the expected 0.2%.
Don’t underestimate that 0.1-percentage-point difference. Markets trade on the gap between what actually happens and what people expected. Investors thought inflationary pressure might ease; now they have to run the numbers again.
Energy was the main driver of this inflation rebound: gasoline prices rose 9.1% month over month, accounting for more than half of the overall monthly CPI increase. But core inflation also came in above expectations, so it’s not enough to explain the report away by saying “it was all because of oil prices.”
So how does this feed into crypto?
You can follow the chain like this:
Inflation comes in above expectations → markets raise their interest-rate expectations → the dollar and Treasury yields come under upward pressure → risk assets become less attractive → crypto faces selling pressure.
The higher interest rates are, the more expensive it is to borrow and invest. The opportunity cost of holding cash and bonds also affects how capital is allocated. For cryptocurrencies that rely on fresh inflows to drive their prices, this kind of environment is usually unfavorable. #9月CPI来袭原油美债走势如何
【5 PM Market Update】Prices are above the range lows but still below the morning snapshot
Market data as of around 17:01 Beijing time on October 15, 2026. The following are Binance spot USDT pairs; price changes, ranges, and trading volumes are all measured on a rolling 24-hour basis.
BTC: 81,360.01 USDT, down 2.521% over 24 hours, with a trading volume of approximately 1.946 billion USDT. ETH: 2,373.86 USDT, down 5.309% over 24 hours, with a trading volume of approximately 1.198 billion USDT. BNB: 722.80 USDT, down 2.534% over 24 hours, with a trading volume of approximately 106 million USDT.
Compared with the same-source snapshot saved at 09:03:43 today, the prices of the three assets fell by approximately 0.53%, 2.07%, and 1.17%, respectively. These are price changes between two points around eight hours apart and should be understood separately from the 24-hour changes above.
Within the current window, the ranges are 80,226.35–83,933.00 for BTC, 2,318.00–2,521.42 for ETH, and 708.64–745.33 USDT for BNB. Calculated as “latest price ÷ range low − 1,” the current prices are approximately 1.41%, 2.41%, and 2.00% above their respective lows.
This comparison shows that prices can be above the window lows while still being below their morning levels. Among these three pairs, ETH is furthest above its respective low, but it has also fallen the most relative to the morning. To accurately compare relative strength, first make sure the reference times are consistent.
My observation: All three are currently below the morning snapshot, and ETH continues to show relatively greater pressure. Going forward, we can keep checking consecutive candlesticks and trading data on the same basis to see whether the price recovery can continue. Window highs and lows are historical statistics; these two snapshots alone cannot reconstruct the full price path in between or confirm a trend change.
Source: Official Binance spot market data API; the morning comparison is from same-source data saved by this account. https://data-api.binance.vision/api/v3/ticker/24hr?symbols=%5B%22BTCUSDT%22,%22ETHUSDT%22,%22BNBUSDT%22%5D
[Industry Watch] AI participates in chip manufacturing — where exactly are the advances happening?
The official event page for SEMICON West 2026 lists the San Francisco dates as October 13–15 local time in the U.S., with sessions covering fab robotics, physical simulation, and digital twins. This is also one basis for continuing to watch how AI is being integrated with semiconductor manufacturing today.
On October 14 local time in the U.S., NVIDIA announced a new CUDA-X library, cuPotential, which developers can use to simulate atomic and molecular interactions and provide corresponding computing capabilities for AI agents. The announcement said that in early-access testing, GPU-optimized workflows had been further accelerated by 2–3x.
When reading this figure, the key is to identify the test object and comparison baseline: it describes the performance of a specific simulation workflow. The output, yield, and cost of an entire fab still need to be measured using their own production data.
There are also differences in the stage of implementation. cuPotential is currently in early access; Lam Research, mentioned in the announcement, uses NanoVDB to accelerate SEMulator3D, with a target launch before the end of this year. Checking “test results,” “currently available,” and “planned release” separately makes it easier to judge progress accurately.
My view: what makes this direction worth watching is that it brings AI into existing materials simulation, process verification, and inspection workflows. Once computation becomes faster, the next question is whether more options can be validated under the same accuracy requirements and then used in real production.
For readers who follow the technology industry, a good way to assess this kind of news is to first identify three things: which step was accelerated, what benchmark was used, and when it will enter the actual workflow. That makes it easier to connect technical progress with commercial deployment.
Original sources: NVIDIA announcement and the SEMICON West event page https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-and-Semiconductor-Leaders-Advance-AI-Across-Chip-Design-and-Manufacturing-for-AI-Defined-Fabs/default.aspx https://www.nvidia.com/en-us/events/semicon-west/
【Crypto Basics】You see 100 when buying—why is the average execution price 100.6?
Slippage is the difference between the actual execution price and the expected price. The amount available at a given price in the order book is limited, so an order may need to match against multiple price levels. Market movements while a market order is being processed can also cause slippage.
Here’s a completely hypothetical example: A token’s best ask is 100 USDT, with only 20 tokens available; the next price level is 101 USDT, with 30 tokens available. Assume these limit orders remain unchanged during matching, and a market buy order purchases all 50 tokens, excluding fees.
Execution value = 20 × 100 + 30 × 101 = 5,030 USDT. Average execution price = 5,030 ÷ 50 = 100.6 USDT. Compared with the best ask of 100 shown before placing the order, the average price is 0.6% higher. This is negative slippage on a buy, calculated using that price as the reference. The prices and quantities above are for educational purposes only and do not represent real-time market data.
Both “price” and “quantity” matter here: the best ask shows the quoted price at the first level, while order book depth shows how much can be filled at that level and at subsequent price levels. If a buy order exceeds the quantity available at the first level, its final average price may move up to subsequent levels.
Slippage can also work in your favor—for example, when a buy order is filled below the expected price. When comparing slippage across trades, first use the same reference price and calculation method, then account for fees and other costs separately.
When reviewing trade records, checking the quantity, value, and weighted average price of each fill gives you a clearer picture of execution than looking only at a single quote from the moment you placed the order.
Source: Binance Academy https://www.binance.com/en/academy/articles/bid-ask-spread-and-slippage-explained https://www.binance.com/en/academy/glossary/slippage
【Crypto Education】Understanding Changes in Market Cap and Capital Inflows
A common way to calculate circulating market cap is: Circulating market cap = token reference price × circulating supply. This is the total valuation of circulating tokens based on the current price.
Here’s an example using hypothetical figures: Suppose a token has a circulating supply of 10 million tokens and a reference price of $1 per token. Its circulating market cap would be $10 million. If the circulating supply remains unchanged and the reference price rises to $1.10, the market cap would increase to $11 million—an increase of $1 million.
That $1 million represents a change in valuation. On its own, this difference cannot tell us how much money actually entered the market during that period. The formula applies the updated reference price to the entire circulating supply; it does not require every token to have traded at the new price. The prices and quantities above are hypothetical examples for educational purposes and do not represent any actual token.
How much trading can move the price also depends on liquidity. With different levels of order book depth, trades of the same size can cause different degrees of price movement. So when analyzing market cap changes, it’s also important to consider trading volume and liquidity data.
Another point that can cause confusion is the supply metric used. Circulating market cap typically uses circulating supply, while fully diluted valuation (FDV) uses metrics such as maximum or total supply. Check the data platform’s definitions for details. For the same asset, changing the supply metric will also change the valuation figure.
To understand what a market cap figure represents, consider the reference price, supply metric, and time of measurement together.
【Industry Update】Coinbase sets date for third-quarter earnings report; Q&A time converted
Coinbase announced on October 14, U.S. local time, the schedule for releasing its third-quarter 2026 financial results. This is a new schedule announcement; the results themselves have yet to be released.
1. When will the earnings report be released? The company plans to publish its third-quarter financial results and related materials on its investor relations website after the market closes on October 29, U.S. local time. The announcement did not specify the exact minute the report will go live, so it should not be presented as a confirmed, precise time.
2. When will the Q&A take place? The company has scheduled an online Q&A for 14:00 Pacific Time on the same day, corresponding to 05:00 on October 30 in Beijing time. Note that it falls on the next calendar day: readers in Beijing should look for it early on the morning of the 30th, not the afternoon of the 29th.
3. Where can you verify the original information? The Q&A will be held on X and streamed simultaneously on YouTube. Afterward, a replay and transcript will be posted on the investor relations website. The original earnings materials can be read alongside the management Q&A.
My observation: This announcement establishes the timing of a future disclosure. It does not provide this quarter’s revenue, profit, or trading volume. Only after the earnings report is released can we review the actual business figures and management’s explanations to discuss how the business performed this quarter.
Source: Official Coinbase Investor Relations announcement https://investor.coinbase.com/news/news-details/2026/Coinbase-Announces-Date-of-Third-Quarter-2026-Financial-Results/default.aspx
【Morning Market】BTC, ETH and BNB pull back, with ETH relatively weaker
Data timestamp: October 15, 2026, 09:03:43 Beijing time. The following figures are for Binance spot USDT trading pairs; price changes and trading volumes are based on a rolling 24-hour period.
BTC: 81,795.31 USDT, 24-hour change -1.866%, trading volume approximately 1.557 billion USDT. ETH: 2,423.96 USDT, 24-hour change -3.210%, trading volume approximately 819 million USDT. BNB: 731.32 USDT, 24-hour change -1.617%, trading volume approximately 65.81 million USDT.
Compared with the same-platform snapshot saved yesterday at 17:05:49, the prices of BTC, ETH and BNB have fallen by approximately 2.03%, 3.32% and 1.41%, respectively. These are price changes over approximately 16 hours between two snapshots, and are distinct from the rolling 24-hour changes above.
In the current window, the 24-hour ranges are 81,398.37–84,146.72 for BTC, 2,403.69–2,530.44 for ETH, and 726.27–747.00 USDT for BNB. The latest prices of all three are in the lower quartile of their respective ranges; among these three trading pairs, ETH also has the largest 24-hour decline.
My observation: The current snapshot shows all three trading pairs weakening at the same time, with ETH under relatively greater pressure. To assess whether this move continues, monitor consecutive candlesticks, prices’ positions within their ranges, and trading data measured on a consistent basis. A short-term rebound and a trend reversal require different evidence; neither can be confirmed based solely on a single price move. The historical highs and lows of the ranges above should not be treated directly as support or resistance.
Source: Binance official spot market data API; yesterday’s comparison data is a same-source snapshot saved by this account. https://data-api.binance.vision/api/v3/ticker/24hr?symbols=%5B%22BTCUSDT%22,%22ETHUSDT%22,%22BNBUSDT%22%5D
U.S. September CPI data will be released tonight at 20:30
Official August data: Headline CPI rose 0.4% month over month and 3.4% year over year. Core CPI rose 0.3% month over month and 2.4% year over year. Energy prices rose 2.1% month over month and 16.3% year over year. Housing costs rose 0.3% month over month. Food prices rose 0.1% month over month and 2.7% year over year. Gasoline prices rose 3.9% in a single month, accounting for more than a third of the monthly increase in headline CPI.
Market expectations for September data: Headline CPI to rise 0.5%–0.6% month over month Headline CPI to rise 3.6%–3.7% year over year Core CPI to rise 0.2% month over month Core CPI to remain at 2.4%–2.5% year over year Overall inflation this time may be driven by energy prices, but the market is more focused on core CPI. If core CPI rises by 0.3% or more month over month, the market may once again raise its expectations for Fed rate hikes. The U.S. dollar could strengthen, while risk assets such as BTC, U.S. stocks, and gold may come under pressure.
If the core data meets or falls below expectations, the market is more likely to bet that the Fed will pause rate hikes, which could support risk assets.
Simply put, headline CPI determines the initial reaction, while core CPI is more likely to determine whether the market move continues. This post was published before the data release; the actual figures should be taken from the official release. #CPI数据
【5:00 PM Market Watch】BTC, ETH, BNB Price and Volume Snapshot
Data timestamp: October 14, 2026, 17:05:49 Beijing time. All figures are for Binance spot USDT pairs; price changes and trading volumes are based on a rolling 24-hour period.
BTC: 83,487.56 USDT, 24-hour change +0.081%; range 82,972.74–84,146.72, trading volume approximately 1.029 billion USDT. ETH: 2,507.18 USDT, 24-hour change -0.050%; range 2,489.00–2,530.44, trading volume approximately 386 million USDT. BNB: 741.77 USDT, 24-hour change -0.088%; range 736.87–747.00, trading volume approximately 46.14 million USDT.
In this snapshot, the net price changes for all three pairs are close to zero, and their current prices are all between their respective 24-hour highs and lows. However, calculated as “high minus low, divided by the price at the start of the period,” the price ranges for BTC, ETH, and BNB are approximately 1.41%, 1.65%, and 1.36%, respectively. Net directional change and price volatility over the period should be considered separately.
Among these three pairs, BTC has the highest trading volume. However, this only reflects trading data for the current period; without historical data using the same methodology, it is not yet possible to determine whether volume has increased, nor to confirm a one-way trend based on this alone.
My observation: Going forward, we can look at consecutive candlesticks alongside historical trading volume to see whether price movements persist and whether price and volume move in sync. The highs and lows above are period statistics only; they should not be treated directly as support or resistance levels or breakout signals. Prices will continue to change, so the snapshot timestamp should be considered alongside the figures.
Source: Official Binance Spot Market Data API https://data-api.binance.vision/api/v3/ticker/24hr?symbols=%5B%22BTCUSDT%22,%22ETHUSDT%22,%22BNBUSDT%22%5D
After all that time studying crypto, I barely made any money—but I sure learned exactly how much I paid in fees
There’s a particularly gut-wrenching situation when trading crypto futures: You called the direction right, and your entry was decent. When closing the trade, you think, “That move ought to earn me a chicken leg, at least.” Then you open your account statement—and there goes your chicken leg, plus enough money for a cup of milk tea. The problem isn’t necessarily the market. It could also be something easy to overlook: trading fees. You’re watching the candlesticks, trying to figure out what the big players are up to. Meanwhile, the trading fees are figuring you out. Many people know that futures trading comes with fees, but have never taken the time to calculate how much they actually pay. As for referral codes, they’re easily seen as a way to “help someone else complete their referral tasks,” so people skip them during signup.
【Industry Observation】AI Infrastructure: Areas Beyond GPUs Worth Watching
As of October 14, the OCP Global Summit is underway in San Jose, USA, during its announced dates of October 12–15. The organizer’s website shows that tickets are sold out. This reflects demand to attend the event, but does not support any estimates of product sales.
A look at NVIDIA’s published conference agenda reveals a range of topics, including liquid cooling, power delivery, networking, equipment reliability, and security. For large-scale AI systems, connecting computing equipment, supplying it with stable power, and keeping it cool are all part of the overall deployment solution.
One specific example is the USFP pluggable optics solution announced by NVIDIA and Cisco on October 12. The announcement says the solution is designed for electrical signals of 400 Gb/s per lane. The two companies also plan to develop an open industry specification through a community-led project. These are announced design and collaboration plans, and should not be taken as evidence that large-scale deliveries have already been completed.
My observation is that AI infrastructure development can be assessed by looking at three questions: Can networking keep pace with computing scale? Can power and cooling support continuous operation? Can equipment from different vendors work together? The system’s actual efficiency needs to be assessed using real-world deployment data.
What’s worth tracking next are open specifications, partner products, and progress on actual deployments. Individual specifications offer a starting point for analysis; only implementation can complete the picture.
Original sources: OCP organizers, NVIDIA https://www.opencompute.org/events/ocp-summit/2026-ocp-global-summit/ https://nvidianews.nvidia.com/news/nvidia-and-cisco-introduce-new-pluggable-optics-form-factor-to-scale-ai-factories
The movement of $BTC has slowed significantly, and volatility is quite low. Therefore, no major changes are expected in the near future; only some consolidation in this area.
Trading volume has declined slightly, while conditions remain unchanged, with a balance of power between buyers and sellers. In the near future, the price may consolidate in the $82,000–$84,000 range.
From Repeated Liquidations to a Comeback: A Trader’s Hardest Lesson
When people enter the trading market, the first thing they learn is how to predict whether prices will rise or fall. Only later do they gradually realize that what determines whether someone can last in the market over the long term is often not their ability to predict the direction, but their risk management. Jez has learned this lesson the hard way. He even believes that, if they had a choice, many ordinary people probably shouldn’t trade derivatives at all. The world might be a little simpler if everyone just traded spot markets. Because leverage can turn an otherwise correct judgment into a bad trade. Even if you get the direction exactly right—for example, you predict that the price will rise an hour later, and it actually does—excessive leverage means that even a small fluctuation along the way could liquidate your position before then. Getting the direction right doesn’t mean you’ll necessarily make money in the end.
Why haven’t I received even a single cent in rebates after linking an invitation code?
This usually happens because your referrer hasn’t set a rebate rate, or because the rebate was simply withheld.
How can you fix this? Can you bring back an old user? Under the current policy, old users can return or add an invitation code later only if they have no existing referral link.
For accounts that already have a referral link, the only solution is to activate the Supporter feature, then register through a Supporter link.
That way, you can earn rebates from your own referrals and won’t have to worry about someone else withholding them. You can also invite people around you to help them save money—it’s easy and hassle-free.