A short week on the platform side. Two new TradFi perpetual pairs went live on Omni Web, ORACLE-USDT on Wednesday and CXMT-USDT on Friday, both at 09:00 UTC with up to 50x leverage. On mobile, App version 3.62.0 rolled out with an improved and upgraded App SDK. Both listings are covered by full ApeX Insights research if you want the numbers before you trade.

ApeX Weekly Update: Two New TradFi Perpetuals and App Version 3.62.0

The CLARITY Act cleared the Senate Banking Committee on 14 May by 15 votes to 9, with all 13 Republicans joined by two Democrats. It has sat on the Senate Legislative Calendar under General Orders since 1 June, eligible for a floor vote the entire time. On 8 August, Majority Leader Thune filed cloture on the motion to proceed, hours before the Senate recessed. It returns on 14 September with a procedural vote scheduled for the 15th.

Prediction markets price more than 50 Senators voting for it at 45 percent. They price it being signed into law in 2026 at 20 percent, on $7.02M of volume.

That gap is the whole story. It is not a market doubting support. It is a market counting the days between a September procedural vote and 31 December, against a chamber with roughly three weeks of floor time before the midterm campaign takes over. Everything else on the crypto policy board sits in single digits, and one market elsewhere is doing all the genuine work.

10 Things You Need to Know About Crypto Regulation Right Now

On July 27 CXMT listed in Shanghai at 8.66 yuan and opened at 49.50, a 466% first-day move that made China's DRAM champion the most valuable company on any mainland exchange. It now trades near 52.87 yuan, roughly 522 billion dollars. The business underneath is real and moving fast. Revenue went from 9.1 billion yuan in 2023 to a guided 110 to 120 billion in the first half of 2026 alone, and nine years of losses flipped to a guided 50 to 57 billion yuan of half-year profit. The problem is what set the price. Only 6.73% of the enlarged share capital was tradable at listing, so about 35 billion dollars of stock is marking 522 billion. Published targets run from 14.90 to 116 yuan with nothing in between. Our scenarios bracket 14 to 91, weighting to 42. This piece shows the background, the capacity math, the multiple, and every calculation behind those numbers.

CXMT: A detailed analysis of China's DRAM champion, the float distortion and where the stock goes next.

Oracle is the cleanest expression of the AI infrastructure trade in public markets, and right now the most damaged. It closed fiscal 2026 with $638 billion of contracted future revenue, more than nine years of its own sales, then closed July at $117.77, roughly 66% below the September 2025 high. Both facts are true, and that is the story. Oracle is converting a legacy software business into a compute utility, funding it with debt while free cash flow runs at negative $23.7 billion. S&P cut the rating to BBB- on July 9, one notch above junk. Wall Street has not blinked. Consensus sits at $265.03, with a $145 low and a $400 high, the widest spread on any megacap. Our own scenarios bracket fair value between $73 and $247, and the outcome turns on how fast the backlog converts and whether the rating holds. What follows is the background, the balance sheet, the multiple, the arithmetic behind every target, and why a two-sided instrument beats a one-way bet here.

Oracle: A Detailed Analysis of AI Cloud Economics, Credit Stress and Price Targets

The Stochastic Oscillator is sold as a momentum indicator, and its creator said so directly: it "doesn't follow price, it doesn't follow volume or anything like that." But the formula's only inputs are a close, a highest high and a lowest low, every one a price. What it reports is where the close sits inside the recent range, blind to how wide that range is: a dead-flat market and a violent one can print the identical 95. This piece covers the arithmetic, why the reading pins at 100 in a trend, and the fact that it was not among the strategies the 2023 crypto study tested.

Stochastic Oscillator Explained: %K, %D and the 80 Level

This week's release cycle focused on coverage, speed, and access. The Assets dropdown on Omni-web is now complete, so every asset category we support appears in one place instead of being split across menus. The World Cup Prediction Campaign has closed and redemption is open, so every survivor with earned points can claim from the Reward Center. The Points Shop still carries exclusive World Cup prizes and USDT. Prediction Spot received a data source and execution upgrade that shortens the gap between a price moving and your order filling. Fiat Deposit moved to V2.0 with EOA wallet support on both web and app, removing a step for traders who never wanted a smart contract wallet in the first place. We also published a notice on the strategic realignment and sunsetting of ApeX Omni Spot, and the mobile app shipped versions 3.61.0 through 3.61.1 with the same fiat and Prediction Spot improvements, plus the removal of the AI Summary feature.

ApeX Weekly Update: Full Asset Coverage, World Cup Rewards, and Faster Prediction Spot

Bollinger Bands wrap price in a statistical envelope, and almost everyone reads that envelope wrong. The textbook intuition says two standard deviations should contain about 95% of the data, so a touch of the band feels like a rare, stretched event. Studies find the real figure is closer to 88%, because price has fat tails, twenty observations is too small a sample, and prices are not independent of each other. A band touch is roughly a one-in-eight event, not one-in-twenty. This piece explains what the bands actually measure, why the statistics do not behave, and what happened when researchers swept their settings on crypto.

Bollinger Bands Explained: What a Band Touch Really Means

MACD is the most-watched crossover on any chart, and the least understood number. It is not an oscillator with meaningful levels: it is one exponential moving average subtracted from another, which means it is denominated in the asset's own price units and has no ceiling, no floor and no "overbought" reading. A MACD of 250 on Bitcoin and 0.4 on a cheap altcoin can describe identical momentum. This piece explains what MACD actually computes, why it lags twice over, and what happened when researchers tested it properly on crypto.

MACD Explained: Settings, Crossovers and What They Mean

RSI is the most misread indicator in trading. Almost everyone treats a reading above 70 as a warning to sell, but the number does not mean what people think. Run Wilder's formula backwards and "overbought at 70" turns out to be a plain arithmetic statement: this market's average gains have been about 2.3 times its average losses. That is the definition of a strong uptrend, not a reason to bet against one. This piece explains what RSI actually computes, what the tested evidence says about trading it, and which popular RSI statistics fall apart when you look for the source.

ApeX Team

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