Not every mining machine can mine every coin. And understanding why can save miners from making the wrong hardware investment.
It all comes down to the mining algorithm.
SHA-256 is used by Bitcoin (BTC) and Bitcoin Cash (BCH). These networks rely on ASIC miners specifically designed for SHA-256 hashing.
Scrypt is used by Litecoin (LTC) and Dogecoin (DOGE). It has different memory requirements, so it needs dedicated Scrypt mining hardware.
So why can’t you use the same ASIC for both?
Because each machine is built to process a specific algorithm. A SHA-256 miner isn’t designed to handle Scrypt,

$BONK has its whole 88T supply unlocked and emissions are done. Nothing left to unlock.
Tokens launched on BONKfun traded $962M in Q3.
It pushed above the downtrend line from the 2024 top and has been basing since the summer.
LT 💚

Saw in the news that Hong Kong is 17 degrees today. omg. Manila is still more comfortable 😌

What happens to your existing loan? Can you still trade your tokens? Do you need to take action?
These are important questions for users holding BOB, B3 and ONE. A new lending adjustment introduces changes to borrowing services, with a clear deadline for outstanding loans. Understanding the difference between stopping new loans and repaying existing ones can help users avoid confusion.

🔍 THE CHANGE

Gate has announced an adjustment to its lending features for three cryptocurrencies: BOB, B3 and ONE.

Starting November 10, 2026, at 08:00 UTC, new lending will be disabled for these tokens acro

‍#美国10月CPI全面超预期 #Gate股票畅聊季 #美股财报季 #每周来晒
CPI halted the rebound: How should you position in U.S. stocks from here?
The damage last night’s CPI did to U.S. stocks lies in how it changed the nature of the rebound, not in how much the indices fell. After the big sell-off on November 5, the market recovered over three trading days, and the Nasdaq was still up 2.74% on November 9. As soon as CPI came out, futures plunged, turning the rebound from a “recovery” into a “dead-cat bounce.”
The impact is also clear: it hurts valuations, not earnings.

I. Why the impact was so severe: valuations were te

Let me speak from the heart. A while ago, my account hit a low of under 80U. At my toughest moment, one guy believed in me and encouraged me, saying I could definitely make it back.
By gradually refining my risk management and keeping my emotional trading in check, I’ve now not only recovered my losses but grown my account to over 800, and the guy who followed me has also made over 170U in profit.
Trading is hard, and trust is even harder to come by. I’m Brooks. I stick to steady position management, avoid high-stakes gambles, and keep building over time, so I don’t let anyone’s trust in me do

Why might a trading strategy that performed well on historical data gradually fail in the real market?

A beautiful backtest curve does not mean that the strategy already has a stable edge in live trading.

The problem is often not that backtesting is worthless, but that we may overestimate what historical data can prove.

There are four key reasons worth paying attention to.

1. Overfitting: The strategy memorized history but did not truly understand the market.

Continually adjusting parameters until the historical return curve looks beautiful can easily make the strategy fit past noise rath

$SOXSB$SOXSB fell to 46.87, with RSI at just 28.5—is this an opportunity for an oversold rebound or a continuation of the downtrend?
From a purely technical perspective, the latter is more likely, but there is room for a short-term recovery. MA5=47.436 is well below MA20=51.429, with the moving averages in a bearish alignment, and the medium-term structure has yet to recover; the MACD histogram at -0.224 remains in bearish territory, indicating that downside momentum has not fully played out. However, RSI=28.5 has entered oversold territory, and the current price of 46.87 is close to the lower

first 50k in
doing fine so far
work your magic, pavel
the reaction at the monthly downtrend will be decisive for further momentum
$GRAM

Honoring my Dad Ralph on #VeteransDay who proudly served in the Air Force during the Korean War … this is me with my parents yesterday (Dad is 96!)

Your knight is raiding merchants at night.

🚨 BREAKING: Strategy $MSTR could face up to $2.8 BILLION in forced stock selling if MSCI removes it from its global indexes tomorrow, according to JPMorgan. 📉
Any removal would take effect at the close of November 30.
Strategy also disclosed in its Q3 SEC filing that it expects to be excluded from MSCI indexes this month.

Diagnosis confirmed: inside-out collar syndrome.
Prescription: Just turn it around and you'll be fine. 💊

$INIT It plunged from 0.30 to around 0.18 in a day, shedding nearly 40% and hitting a low of 0.168. The futures price is now hovering around 0.178, funding rates have turned negative, and short positions have clearly increased. The densest cluster of long liquidations is between 0.16 and 0.17 below; if it drops further, it will likely sweep through that area first. A lot of short liquidation levels are stacked between 0.21 and 0.22 above. If it really rebounds, that’s where shorts will feel the pain. Do you think it will retest 0.165 first, or rebound to 0.21 first? Leave your price target in

Correlation charts (10y yield and crude to S&P 500)

$BTC / USDT:
Bitcoin hasn't looked this weak for a long time. This should either be a sell off and buy zone by big organizations. Or, a massive push is coming.
1d, 7d, and 1month charts have all hit the resistance. Any further below is looking dangerous and potential 60k zone is ahead.
Very crucial.
What are your thoughts on BTC?

Why do many traders change their minds just when they really need to execute, even though they’ve set a stop-loss?

Before placing an order, you tell yourself: If the loss reaches the predetermined level, I’ll exit immediately.

But when the price actually reaches the stop-loss level, you start to hesitate:

“Wait a little longer; maybe it’ll rebound soon.”

“If I sell here, what if this is exactly the bottom?”

“I’ve already lost so much. It would be such a shame to exit now.”

In the end, a loss that was originally manageable turns into an unpredictable gamble.

The reasons behind this are o