In cryptocurrency trading, many people watch BTC's price fluctuations every day, but don't realize that what is often truly worth paying attention to are several important price areas: support and resistance.

What is support?

Simply put, support is an area where buying pressure may gradually strengthen as the price falls. When BTC approaches an important price range, repeated rebounds may indicate strong buying demand in that area.

What is resistance?

Resistance is the opposite: an area where selling pressure may increase as the price rises. If BTC rises to a certain level multiple times b

Many traders see BTC trading volume suddenly surge and assume the market is about to reverse. In reality, a spike in trading volume does not necessarily mean a trend reversal. It more often indicates that market participation is increasing, and that disagreement between buyers and sellers may be intensifying.

So, how should we interpret a sudden surge in trading volume?

First, rising volume during an uptrend. If prices continue to rise while trading volume keeps increasing, it indicates high market participation and may mean new capital is entering. But if prices are finding it increasingly

I planned for this scenario.
Doesn't mean I'm not uncomfortable - but the plan allows me to stay level headed, even when it gets hard.
Time to pay attention.
$BTC

AI prediction accuracy is 80%—so why are you still losing money?

In cryptocurrency trading, many people see an AI model give an 80% probability of a price increase and assume it’s a trade with a high chance of success.

But one easily overlooked point is that making more correct predictions doesn’t necessarily mean you’ll end up making a profit.

Suppose you make 10 trades, get 8 right, and earn $100 on each. You get the other 2 wrong and lose $500 on each. You’d earn $800 but lose $1,000, leaving your account down $200.

This is a mathematical issue that is often overlooked in trading.

What

In cryptocurrency trading, many people believe that accurately predicting whether BTC will rise or fall is enough to earn consistent profits. But reality is often the opposite: some traders have a fairly high win rate, yet their accounts never grow steadily. The problem may not be their market calls, but their position sizing.

Why is position sizing so important?

First, oversized positions can magnify losses. If BTC falls 2%, a trader with a small position may experience only a normal fluctuation, while a heavily positioned trader using high leverage could suffer severe losses or even face l

Nvidia losing Jensen could end up being a pretty good break for Huawei.
NVDA's China AI chip share is already down to 34%, Huawei is at 28% and Nvda shipment there fell 44% YoY.
Jensen was also the loudest industry voice arguing that cutting China off from US chips doesn’t stop Chinese AI, it just pushes developers onto Huawei instead.
If his exit now makes Washington more comfortable tightening the screws, Nvidia can probably absorb the lost China revenue in the near term.
The harder part is what happens over the next few years if Huawei gets all that demand, deployment experience and devel

I'm tired Alfred.

What Is a Long Liquidation? Why Can the Market See a Cascade of Declines When Prices Fall?

In the cryptocurrency market, prices sometimes initially pull back only slightly, then suddenly accelerate downward. In addition to selling pressure in the spot market, one possible cause is long liquidations.

Understanding the liquidation mechanism helps traders recognize leverage risks and analyze why certain market moves can become unusually volatile in a short time.

First, what is a long liquidation?

Long traders buy assets or open bullish contract positions, expecting prices to rise. When using

🚨 JANE STREET BOOSTS FIDELITY BITCOIN ETF HOLDINGS NEARLY 8X IN Q3!
Meanwhile, it cut its @BlackRock IBIT shares by 19%.
Big shift in institutional Bitcoin ETF exposure!

Why Do Larger Losses Make It Harder to Break Even? Understanding the True Cost of Account Drawdowns

In cryptocurrency trading, many people focus especially on how much a trade can earn, but rarely take the time to calculate how much their account needs to rise to return to its original level after a loss.

This is one of the risks most easily overlooked in trading.

Suppose your account originally has 1000 USDT. After a 10% loss, you have 900 USDT left. To get back to 1000 USDT, you need a gain of 11.1%, not 10%.

If the loss reaches 20%, your account is left with 800 USDT, and you need a 25%

$AKE This market maker has really left me at a loss for words. I went in with $10,000 at 5x leverage, and they somehow dragged me into a $20,000 loss. With the daily chart looking like this, who would dare short? At this point, is there any way for the bears to survive? I give up. I can't hold on anymore—I’m cutting my losses and getting out.
$BARD I told you this morning: hold steady and don’t let go. There’s definitely going to be a 200-point explosive rally this week that buries all the shorts. With a $1,000 position at 10x leverage, I’ve already raked in $1,000 just from funding fees, an

The extreme fear index is only 20, yet FET posted a positive gain and moved above MA5 and MA20. This divergence of “sentiment at rock bottom, structure holding firm” is the most unusual detail in today’s market. Compared with peers in the same sector: POL rose 1.70%, but its MACD histogram has turned bearish and its +0.0036% funding rate signals crowded longs; PEPE rose 2.96% on $82.8M in volume, with an RSI of just 47.6 and an 8.85% range, making it a high-volatility sentiment-driven trade. $FET had the smallest gain (+0.48%), but MA5=0.14702 is above MA20=0.14601, the MACD histogram remains

$NAS100 ‌
Looking at the 1-hour chart, the market structure has shifted from a bearish downtrend into a consolidation phase, having established a solid support base around the 27,911.70 level and a local resistance peak at 28,548.58, though the current price action is struggling to maintain the highs near the 28,300 level where the midline of the Bollinger Bands is acting as dynamic resistance.

The recent K-lines are showing indecision with alternating red and green candles hugging the middle Bollinger Band (MB: 28,300.75), and we are currently seeing small-bodied candles forming a potential

The current $AMD community:

$ETH Evening outlook: Nov 13.

$ETH 2000 was broken, and there wasn't even the slightest rebound after the drop below 2000. Just how weak is this market? The bulls seem to have been beaten into submission.

ETH can only stop falling and rebound toward 2000 if it breaks above resistance at 1955. It will only start rising on the hourly timeframe after breaking 2000. If it can't break 1955, it can only consolidate in the 1955–1910 range.

If 1955 remains unbroken, a second retest of the previous low will most likely lead to a break below it, with a new low at 1861. As shown in the white box, ET

Many traders analyzing BTC price action focus only on candlesticks and trading volume, while overlooking a very important metric: order book depth.

The order book records the number of buy and sell orders at different price levels in the market, helping us observe the current state of buy and sell orders.

So, how should you read order book depth?

First, observe the size of the bids and asks. If there are many buy orders in a certain price range, that area may have potential buying support; if a large number of sell orders cluster above, they may create short-term price pressure.

Second, wa

In BTC trading, there is a market phenomenon worth paying close attention to: after the price breaks below an important support level, an area that previously supported price increases may instead become resistance during the next rebound.

Why does this change occur?

First, the confidence of existing buyers changes. When BTC finds support in a certain price zone multiple times, many traders choose to buy there. But once the price decisively breaks below that zone, those who had been waiting to buy may start to sit on the sidelines, weakening buying pressure in the market.

Second, trapped tr

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