#AnthropicLaunchesNasdaqIPORoadshow $ANTHROPIC
Anthropic’s IPO is becoming more than a company listing. It is turning into a major test of how public markets value the AI industry.

The company behind Claude has filed to list on the Nasdaq Global Select Market under the ticker ANT. That alone makes this offering important, but the bigger question is what investors will be asked to pay for its growth, technology and future infrastructure needs.

And the latest developments show that even a high-profile AI company cannot set its valuation without testing market appetite.

Growth is impressive,

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Everyone, today is day 89 of making a living through trading. My futures account currently has 174U
Go do it
Go make trades without technical analysis
Go make trades for no reason

Great, ACT$ACT continues climbing to 011. The rise is quite fast, so it could easily pull back. I'll open a small short ahead of the pullback😍😍😍$ARIA $EDGE 😍😍😍$

Following 11/7, a major counteroffensive began yesterday!

After hitting the bull-bear dividing line, momentum fizzled. The last three times it fell below MA200 and recovered, sustained gains followed. Now it has reached another critical juncture!

Whether it can reclaim and hold this level is what technical traders are most focused on right now. #标普500创7个月最大涨幅

Cang Laoshi has been unusually active in the crypto scene lately. Is she about to launch a token? @aoi_sola

BTC fell to the 73k level, with net outflows from ETFs on 4 of 5 trading days, totaling approximately 1.28 billion. During the price pullback, this should have been a window for institutional funds to accumulate on dips, but there has been no sustained inflow through ETF channels. This is the first weak signal.

　　A clearer picture of actual spot supply and demand comes from on-chain data. Glassnode data as of November 8 show spot CVD falling to -91.8 million, meaning that aggressive sellers still dominate the spot market.

　　What truly worries me has never been how much the price has fallen,

What is fixed-fractional risk management? Why should every trade have a clearly defined loss budget?

In cryptocurrency trading, some people keep increasing their position sizes after a streak of wins, then rush to double down after a streak of losses in hopes of making their money back quickly. This can easily cause account risk to spiral out of control. The core of fixed-fractional risk management is setting a clear risk budget before each trade, rather than deciding on the amount to invest on impulse.

First, what is fixed-fractional risk management?

It generally means that the planned ris

Sony China has announced that it will launch the MDR-3R wired headphones at 12:00 noon on November 17. The overseas version features the classic look of the original Walkman TPS-L2, comes with replaceable ear pads, and swaps the 3.5 mm jack for USB-C. It also has a built-in microphone and in-line controls.

At first glance, they have that retro 1979 vibe. But plug them into your phone and you realize we’re already living in the USB-C era. This mix of old and new is pretty interesting.

$BTC

NVDA at $180: Are you selling at a loss or counting your money?
From $239 down to $180, that's a 25% loss. RSI has plunged to 28, and the oversold zone is full of bloodied positions. But while you're trembling as you watch the chart, Wall Street's average price target is still $320—will the November 17 earnings report mark the end of this slaughter, or the start of another rout?

First, the surface picture: a sharp drop, but no collapse.

From the October 6 high of $239 to $180 today, that's a 25% pullback and a 22% drop over the past 30 days. Daily RSI is 28—about as oversold as it gets.

You

GM Everyone
Keep grinding, stay consistent, and trust the process.

Diplomatic momentum has returned to the forefront of US-Iran negotiations. Contacts facilitated by Qatar, combined with statements from President Trump regarding an end to the conflict, have boosted risk appetite in global markets, leading to divergent trends across commodities and crypto assets. However, the gap between market pricing and the uncertainties on the ground is prompting investors to maintain a cautious stance.

Diplomatic Developments and Oil Prices

Reports suggest that Qatar and Pakistan have put forward a mediation proposal—which both sides have reportedly received favorably—t

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Bitcoin’s recent price action has honestly left me numb.
U.S. stocks have bounced back, but BTC is still just dragging along near 75k, with hardly any momentum. A few days ago, it finally managed to push up to 80k, only to get slammed back down—and it couldn’t even hold above the 365-day moving average.

The price is now around 74,600, with support below near the 200-day moving average at 73,143, as well as the uptrend line I drew myself. Honestly, I really can’t tell where it’s headed next. I’m just hoping it can hold the 73k level.

It’ll only really be back on track once it gets back above

$XMR Now heavily shorting, then buy in at $222.46; short entry price: 562.84 $XMR 👇

What Is a Transaction Cost Model? How Can Backtest Results Better Reflect Real Trading?

In cryptocurrency trading, some strategies deliver high returns in historical backtests but perform poorly once real capital is deployed. The problem may not lie in the strategy signals themselves, but in the backtest’s failure to fully account for real trading costs. A transaction cost model incorporates these real-world factors into calculations to evaluate a strategy’s actual performance after costs.

First, what is a transaction cost model?

It estimates the various costs incurred when executing a stra

What Is Out-of-Sample Testing? How Can You Tell Whether a Trading Strategy Truly Generalizes?

In cryptocurrency trading, a strategy's strong performance in historical backtests does not mean it can adapt to future markets. To prevent a strategy from merely memorizing past data, traders need to use out-of-sample testing to check whether it still performs reasonably on data that was not used in its development or tuning.

First, what is out-of-sample testing?

Out-of-sample testing means evaluating a strategy's actual performance using data that was not used to select or optimize its parameters