Will Jensen Huang’s controversy create a golden buying opportunity for NVDA? Is the stock pullback an opportunity, or is risk beginning to mount?

The latest controversy surrounding Nvidia has led many investors to ask: Is NVDA’s pullback a buying opportunity, or are risks growing?
On the positive side, Nvidia still has powerful GPU products, the CUDA software ecosystem, and a customer base in AI infrastructure. Global demand for AI investment will not suddenly disappear because of a single news story.
On the risk side, Jensen Huang is the company’s central leader, and management stability is

How to Build a Trading Cost Tracking Sheet and See Your True Profits

Many traders review their trades every day, but may overlook one key question:

Your account looks profitable, but how much is left after all costs are deducted?

Without complete trading records, you may know which trades made money, but not what is continually eroding your profits.

Today, we’re sharing a trading cost tracking method you can put into practice right away.

I. Record Every Trade

We recommend creating an Excel spreadsheet that records at least the following information:

* Trade date and trading pair
* Openi

Worth trying because I like JetBrains.

Why holding 10 cryptocurrencies may still mean taking on the same risk?

Many investors believe that as long as they do not put all their funds in Bitcoin, buying Ethereum, SOL, BNB, and other tokens can reduce portfolio risk.

But there is an easily overlooked issue:

Having more assets does not mean risk is truly diversified. What matters is why these assets rise or fall, and how they perform under market stress.

I. Holding different coins does not mean having different sources of risk

Suppose you hold BTC, ETH, SOL, and several other crypto assets at the same time.

These assets represent

#USCPIDataIncoming

US CPI DATA INCOMING: Inflation Report Could Set the Next Direction for Crypto Markets

The Countdown Begins

The next major U.S. inflation report is almost here, and financial markets are preparing for another important test. The October 2026 Consumer Price Index (CPI) report is scheduled for November 10 at 8:30 AM Eastern Time.

This release matters because inflation influences interest rate expectations, the strength of the U.S. dollar, bond yields, stock market sentiment, and the flow of money into riskier assets such as Bitcoin and other cryptocurrencies.

For crypto

🚀11.9 Midday Market Outlook🚀

$ETH 思路：

If ETH breaks below 2166 on high volume, enter a right-side long; stop out if it reclaims the level.

If ETH breaks below 2125 on high volume, enter a right-side short and make sure to set a stop-loss.

If a retest of 2098 confirms that support is holding, add one lot to the long; stop out if ETH breaks below 2051.

If ETH holds above 2166 on the hourly timeframe, look for upside targets of 2245-2309.

Watch for a one-lot short at 2245; stop out if ETH breaks above 2309.

Left-side wick orders: long at 2035; stop out if ETH breaks below 2000.

Why Can the Same Trading Strategy Perform Completely Differently on Different Exchanges?

Suppose you test a BTC breakout strategy on one exchange and get good backtest results.

You then copy it to another exchange, using the same parameters and the same entry signals, only to find that profits are lower, drawdowns are larger, and even a strategy that was originally profitable starts losing money.

What went wrong?

Often, traders focus only on price signals and overlook one fact:

The way a strategy generates signals may be the same, but that doesn’t mean the conditions for filling orders ar

Why Can a High Backtest Win Rate Still Lead to Persistent Losses in Live Trading?

Have you ever seen a trading strategy like this?

Its backtest win rate reaches 70%, and the equity curve keeps climbing. Its parameters have been optimized repeatedly, and its historical performance looks quite impressive.

But once it goes live, the account starts bleeding slowly.

Some people think market conditions have changed, some think the parameters still need improvement, while others start looking for new indicators.

But before modifying the strategy, there is a more important question:

Does your ba

Why can more perfect backtest performance sometimes be more cause for concern?

In cryptocurrency trading, there is something that can make you feel especially confident: a beautiful backtest curve.

A very high win rate, steadily growing returns, a tiny maximum drawdown, and profits in almost every market phase.

It looks as though the strategy has already figured out the market.

But here’s the problem: if a strategy is built by repeatedly adjusting historical data, it may have learned not the rules of the market, but chance patterns in the historical data.

This is the core risk of strategy

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Why Might a Trading Strategy’s Returns Come from Just a Few Trades?

A strategy has high cumulative returns and a decent win rate.

But if you remove the few most profitable trades and the entire strategy goes from profitable to losing, would you still consider it to have a stable trading edge?

This question is more worth exploring than simply looking at the rate of return.

I. First, See Where the Returns Actually Come From

Suppose a strategy completes 100 trades and ends up with a net profit of $1,000.

On the surface, the strategy is making money.

But a closer breakdown shows:

* The fir

11.9 ETH Trading Strategy

ETH saw a sharp, high-volume drop in the early hours, with the price falling to an interim low of 2050 before entering a weak consolidation and recovery between 2120 and 2160. The Bollinger Bands are opening downward, with the middle band continuing to slope lower. Although the MACD bearish momentum bars have narrowed somewhat, both lines remain below the zero line. The overall bearish trend remains dominant, with resistance at the upper end of the 2169–2170 range and the previous decline platform at 2230–2245. The key support below is near the 2050 low. Today's stra

Waiting for the right moment is the only thing I need to do right now!

11.09 BTC Market Analysis

Short: 75400-75800 area, stop loss at 76200, targets at 74500/74000.

BTC is currently at 75213. After rebounding from a low of 73418, the price has been range-bound above 75000. Short-term moving averages are gradually converging, while rebound volume has weakened.

The 75400-75800 area above is a secondary consolidation platform from the previous decline, reinforced by a dense trading zone and overhead moving average resistance. The resistance is significant. The current price is in the middle of the range, so opening a short directly risks being shaken out by a sh

A Brief Analysis of BTC’s Short-Term Trend Based on Dow Theory, Chan Theory, Elliott Wave Theory, Volume-Price Relationships, Order Flow, and Price Action (Strategy Recommendations)
综合研判? Need translate all. Oops final must English. Ensure line count. Let's formulate. "Comprehensive assessment".

Dow Theory confirms 74,791 has been broken, with the bearish trend entering its final acceleration
Chan Theory: the downward stroke continues, the consolidation zone is moving lower, and there are no buy signals
Elliott Wave Theory: subwave ③ of wave C’s fifth wave is extending, already exceeding the

Jensen Huang’s affair, Nvidia’s board immediately launches an independent investigation, national security risks compounded by a top-level scandal
Foxconn Industrial Internet, which is deeply tied to Nvidia, still turned sharply higher today
Given the A-share market’s usual behavior, this shouldn’t be happening. Could it be because it had fallen too far earlier

Why do many trading strategies perform consistently in backtests, only to suddenly fail in a different market?

A trading strategy may have generated consistent profits over the past few months.

It may perform well in trending markets, with a beautiful backtest curve. But when the market enters a choppy phase or liquidity suddenly drops, signals that once worked may start failing frequently.

At this point, many people’s first reaction is: Are the parameters poorly tuned?

But the problem may have nothing to do with the parameters. It may be that the market conditions the strategy relies on t