How should position size be calculated? Why is it more reasonable to determine the risk amount first and then decide how much to buy?

In cryptocurrency trading, many people are used to assessing the market first and then deciding how much to buy, while overlooking the most important step: if they are wrong, how much loss can they actually afford to bear? Sound position management should start with a risk budget, not potential returns.

First, determine the amount of risk you can afford.

Suppose your account has 1,000 USDT and you plan to limit the risk on a single trade to 1% of your account

What Is Rolling Backtesting? Why Is Continuously Updating the Test Window More Informative Than Testing Just One Historical Period?

In cryptocurrency trading, a strategy may perform well in one period of historical market activity but fail to adapt to subsequent market changes. Testing only one fixed period can easily overlook how the strategy performs in different conditions. Rolling backtesting continuously updates the test window, helping traders evaluate a strategy’s stability more comprehensively.

First, what is rolling backtesting?

Rolling backtesting divides historical data into mult

Don't give up; there's still hope for Bitcoin.
Since 2022, Bitcoin has touched the green line in the chart below only three times.
The first was during the bear market bottom in 2022.
The second was a retest before the bull market's main rally began.
The third was when it bottomed at 57,000 in 2026.
This is the fourth time, at 66,000.
The previous three touches all came during periods when Bitcoin was hit by one piece of bad news after another.
The situation facing this fourth touch is even more challenging than the previous three.
I think Bitcoin will most likely find a bottom at the green li

On the Ties Between Nvidia and AMD

When market conditions change, should trading strategies adjust their parameters or be discontinued outright?

A trading strategy’s strong past performance does not mean it will always be suitable. When the market shifts from trending to ranging, or liquidity or volatility changes significantly, the strategy’s performance may decline. At that point, the key is not to rush into changing the parameters, but to first identify the root cause.

First, determine whether the market has really changed. Observe indicators such as volatility, trading volume, trend strength, and liquidity to confirm whet

Why can forced liquidations intensify a market downturn?

In crypto markets, prices sometimes just start to fall, then the decline suddenly accelerates. Large numbers of positions are forcibly liquidated, more sell orders enter the market, and prices drop further, creating a chain of sharp fluctuations.

One market mechanism that may be behind this is known as a “liquidation cascade.”

First, leverage amplifies the impact of price changes on accounts.

When using leverage, traders only need to put up a portion of the funds as margin to establish a larger position. As a result, the same price c

🐋 WHALE WATCH :Over 1,600 Nvidia employees commented on an internal post calling for Jensen Huangs return with most backing reinstatement according to WIRED.
The question now is whether Huang comes back.

11.13 Market Analysis

I. Market Overview

BTC fell below $70,000. Continued ETF outflows, personnel changes at Nvidia, an index adjustment involving MSTR, and renewed uncertainty around U.S.-Iran talks have added to market uncertainty. The cryptocurrency market remained under pressure today, with overall risk appetite declining.

Total market cap: Approximately $2.31 trillion–$2.42 trillion, down around 5% over 24 hours.

Bitcoin (BTC): Currently trading around $68,700, down approximately 5%–7% over 24 hours. It fell below $70,000 and touched levels near a 12-week low. Market cap: approximate

Why Doesn’t Price Necessarily Fall Immediately When MACD Shows Bearish Divergence?

In the crypto market, bearish divergence may form when the price keeps making new highs while the MACD indicator’s peaks gradually decline. Many traders view it as a short signal, but bearish divergence reflects a possible weakening in upward momentum; it doesn’t mean the price will necessarily fall right away.

First, understand what bearish divergence means.

Bearish divergence typically occurs when price highs keep rising while the corresponding MACD peaks gradually decline. This may indicate that upward mom

gate layer completes its v2.0.1 mainnet upgrade, improving state-root accuracy, on-chain consistency, and node stability without changing external interfaces.
#GATELAYER #MAINNET $GATE

Does greater exchange net inflow make prices more likely to fall?

In crypto market analysis, exchange fund flows are often used to gauge market sentiment. When large amounts of tokens move to exchanges, some believe selling pressure is increasing; when tokens steadily flow out of exchanges, others believe investors are accumulating.

But judging price movements solely by fund flows can easily overlook a key issue: fund movements reflect asset transfers, not necessarily actual buying or selling.

First, distinguish net inflows from actual selling.

Exchange net inflow usually refers to the net

#xauusd #Altın The rules for the libra pattern we were following were clear. The pattern was invalidated after a 4-hour close below 3879.
The subsequent rise looks like a reaction to the decline unless there is a 4-hour close above 4148.
We can monitor the 3773-3701 and 3431-3301 zones as support. If price holds at any of these support levels, another attempt to rise may follow.
We will look for confirmation of a reversal at support.

What Is Rolling Backtesting? Why Is One Out-of-Sample Test Still Not Enough to Prove a Strategy Is Reliable?

A trading strategy passing one out-of-sample test does not mean it will remain effective in all market conditions. A particular period may happen to suit the strategy, so we also need rolling backtests to observe its performance across different time periods.

First, what is rolling backtesting?

Rolling backtesting involves repeatedly using past data to develop or optimize a strategy in chronological order, then testing its performance on a subsequent period of data that was not used

Change the avatar to my 10th one @Hypurr

Transporting the cat from Jiangsu to Sanya is really a huge undertaking 😭
You really shouldn’t get attached to too many things; once you have too many ties, the troubles begin

Jensen Huang leaves the board, and Nvidia enters the post-Jensen Huang era! These 3 things will determine the stock’s future!

A founder stepping down as CEO was shocking enough; now he has even resigned his board seat. This means Nvidia is entering a genuine leadership transition.
Going forward, I think there are three things worth watching closely.
First, the permanent CEO appointment. An interim CEO can steady the ship, but the market ultimately needs to see someone who can lead for the long term.
Second, whether the AI strategy changes. Nvidia’s ability to maintain its product iteration sp

What Is a Range Trading Strategy? Why Might It Be More Suitable in a Sideways Market, Yet Risky During a Strong Trend Breakout?

In crypto trading, prices do not always move continuously up or down. When the market lacks a clear direction and prices repeatedly fluctuate within a certain range, a range trading strategy may be useful. But once the price truly breaks out of the range, the original trading logic can quickly become invalid.

First, what is a range trading strategy?

Range trading involves identifying support and resistance areas where prices repeatedly fluctuate, looking for buying