U.S. stocks just surged, but BTC can't even hold above $75,000 — same CPI, two different pricing narratives

U.S. stocks put in a powerful performance last night. The Nasdaq 100 rose 3.40%, the Philadelphia Semiconductor Index rebounded 6.85%, and the S&P 500 and Dow Jones also gained more than 2%. The market priced in at once the easing of pessimism about AI regulation after the midterm elections and the easing of inflation concerns as oil prices cooled.

But Bitcoin told a completely different story on the same day. BTC fluctuated around $75,000, briefly dipping overnight to $73,667 before r

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What Is Time-Series Cross-Validation? Why Shouldn’t You Randomly Shuffle the Training and Test Sets for Cryptocurrency Predictions?

In quantitative cryptocurrency trading, machine learning models are often trained on historical data to predict future price movements. But if all the data is randomly shuffled and split into training and test sets, as in ordinary classification tasks, the chronological order may be disrupted, making the model’s evaluation results overly optimistic.

First, what is time-series cross-validation?

It is a method of organizing training and validation chronologically

GM ☀️
Lets build some dope shit

Bank, are you going to ruin me too?! I only went all-in with half, and now everything’s frozen across the board!

What Is Look-Ahead Bias? Why Does Using Data Only Known in the Future Give Backtests Fake Profitability?

In crypto trading, a strategy may perform almost perfectly in historical backtests, yet frequently lose money in live trading. Besides overfitting, there is another easily overlooked problem: look-ahead bias. It occurs when a backtest uses information that was not yet available at the time to make historical trading decisions, artificially boosting the strategy’s performance.

First, how does look-ahead bias arise?

For example, a strategy decides whether to buy at the end of each day, but

Went long on $kas here
sl: $0.02981
Tp: $0.03082
— DTT

The stock market is a device for transferring money from the impatient to the patient.
- Warren Buffett.

What is losing streak risk? Why can a seemingly reasonable position still hurt your account after a string of losses?

In cryptocurrency trading, even a strategy with positive expectancy over the long term does not mean every trade will be profitable. Losing streaks can occur in any trading system, and without risk planning in advance, a seemingly reasonable position can gradually erode your account balance.

First, what is losing streak risk?

Losing streak risk refers to the impact of multiple consecutive losing trades on account equity, trading discipline, and mental state. Even if the prob

$XAU
xau
XAUUSDT
Perp
4,123.73
+0.57%

‌$BTC
btc
BTCUSDT
Perp
74,682
+0.70%

‌Support 1: $73,938
Support 2: $71,835
Support 3: $68,676
Market outlook:
If BTC reclaims $75,000–$75,877 and maintains its position above this zone, buyers could attempt another move toward $76,000–$77,000.
On the downside, a confirmed breakdown below $73,938 could increase selling pressure and expose the $71,835 support area.
My analysis: Bitcoin remains under bearish pressure. Traders should watch whether buyers can defend the $73,900 region. A strong recovery above $75,877 would be an important early s

The less capable you are, the more tools you have. Here are some U.S. stock data websites I often use when creating content; anyone trading U.S. stocks should find them useful.
For long-term U.S. stock performance and historical valuations, use Macrotrends
· Website:
For quarterly revenue, net income, and financial data on U.S. companies, use Stock Analysis
· Website:
For listed companies’ official financial reports and holdings reports, use SEC EDGAR
· Website:
For historical data on U.S. stock indices, interest rates, inflation, and more, use FRED
· Website:
To see how far stocks and indices

#标普500创7个月最大涨幅
S&P 500 posts its biggest daily gain in seven months: Is the AI ​​rally back?

My take: This is an encouraging sign for U.S. stocks, but a single strong trading session is not enough to confirm that the "AI trade" has regained its upward momentum.

There are two competing explanations:

* A technical rebound: Investors had become overly pessimistic following the recent sell-off. Short covering, bargain hunting, and institutional buying helped drive stocks higher.

* Renewed AI optimism: Investors may be growing more confident that AI-related spending will continue to translate

#美国10月CPI即将公布

SOL Weakly Moves Sideways Near Previous Low, Awaiting a Break Above Moving-Average Resistance

Currently at 86.07 (-0.01%), with an extremely narrow 24H range of 85.14-88.07. After retreating from 98.14 and bottoming near 85.02, it is consolidating near the lows. The 4H moving averages are bearishly aligned (EMA7:86.62/EMA20:88.09/EMA60:91.43). The price is currently just below EMA7; a rebound must first reclaim 86.62 to show initial stabilization. A break above 88.09 would be needed to signal a stronger trend.

Outlook: If 85.14 holds → a low-volume rebound to 86.62; above tha

Tonight's CPI Trading Discipline: YoY Data Unavailable, MoM Sets the Tone—Don't Make Decisions on the First 21:30 Candle

One final practical point. Tonight's CPI has a special structure: YoY data won't be released, making core MoM the only meaningful signal. This means market pricing at 21:30 will be highly concentrated around a single decimal point, and volatility could be sharper than usual.

In the first 15 minutes after the data release, market makers pull orders and order books thin out. A small number of orders can push prices to extreme levels before they quickly retrace. Most of the “

What is out-of-sample testing? How can you tell whether a trading strategy truly generalizes?

In cryptocurrency trading, strong historical backtest results do not mean a strategy can adapt to future markets. To keep a strategy from simply memorizing past data, traders use out-of-sample testing to check whether it still performs reasonably on data that was not used to develop or tune it.

First, what is out-of-sample testing?

Out-of-sample testing evaluates a strategy’s performance using data that was not used to select or optimize its parameters. For example, you could develop a strategy usi

The S&P 500 just ran back into its 125-day moving average, and sentiment
reads EXTREME FEAR!
📈 April low ~6,350 → ~7,800 peak
📉 October dip to ~7,350
🔄 Bounce to ~7,550, right at the rising 125-day MA (~7,590)
That line has held as support since April. Bulls call this a classic trend retest.
Bears say a clean break would be the first real crack in the uptrend.
With $BTC losing its weekly key levels, I'm sure we'll see more correction for the entire market, soon. ✍️

I can't believe people voted for this guy to leade the labour party.