【Community Blogger Strategy Review | BTC Rebounds from Lows】
BTC previously retested the $68,800–$67,200 support zone. The community strategy was to open small long positions in batches, with a reference stop-loss below $66,600 and successive targets of $69,500, $70,200, and $71,000.
The price has now rebounded to around $69,100, nearing the first target and the resistance zone above. It is not advisable to chase the rally blindly at this point. Key levels to watch:
Can the price hold above $69,300–$69,500?
After breaking through, can it continue toward $70,200?
If it falls back below $68,500,

#NVIDIAEarningsWeekTrading

𝗡𝗩𝗜𝗗𝗜𝗔 𝗘𝗮𝗿𝗻𝗶𝗻𝗴𝘀 𝗪𝗲𝗲𝗸 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: 𝗖𝗮𝗻 𝗬𝗼𝘂 𝗧𝘂𝗿𝗻 𝗠𝗮𝗿𝗸𝗲𝘁 𝗔𝗰𝘁𝗶𝘃𝗶𝘁𝘆 𝗜𝗻𝘁𝗼 𝗮 𝗥𝗲𝘄𝗮𝗿𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆?

📊 𝗕𝗲𝗳𝗼𝗿𝗲 𝘃𝘀. 𝗡𝗼𝘄: 𝗘𝗮𝗿𝗻𝗶𝗻𝗴𝘀 𝗪𝗲𝗲𝗸 𝗛𝗮𝘀 𝗮 𝗡𝗲𝘄 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆

Before, NVIDIA earnings week was mainly a period when traders watched company results, followed market reactions, and tried to understand how new information could affect prices. Now, Gate has introduced an NVIDIA trading competition with a promotional reward mechanism featuring a 100% win rate.

Going to start accumulating $PEPE over the next few weeks/months. It's been stupidly resilient all throughout the red and it'll be one of my bets for now.

Must put knowledge into action—bought the dip #黄仁勋辞职

Following Jensen Huang's resignation as CEO, President, and board member of Nvidia, staff members created an internal petition urging the company to give him a second chance. Supporters have left over 1,600 comments, with messages calling him "THE boss" and noting that "we're all humans and can make mistakes".
People also left bouquets of flowers outside Nvidia's headquarters in Santa Clara, California.
‍#ShareWeekly #NVDA #JensenHuangResigns

Going to Lolita Island doesn't necessarily mean anything happened
But if you didn't go to Lolita Island and instead had an affair yourself,
then in Americans' eyes, you're an unforgivable, utterly disloyal foreigner

What Is Out-of-Sample Testing? Why Can Data Not Used in Strategy Optimization Better Test a Strategy’s True Capabilities?

In cryptocurrency trading, a strategy may perform well in historical backtests yet quickly fail in new market conditions. The problem may not lie in the trading logic itself; the strategy may have simply become overfitted to the historical data used for optimization. Out-of-sample testing is an important way to identify this issue.

First, what is out-of-sample testing?

Out-of-sample testing uses data that was not involved in strategy development or parameter optimization

What Is Expectancy? How Can You Tell Whether a Trading Strategy Has a Positive Edge Over the Long Term?

Whether a trading strategy is worth using over the long term cannot be judged by how much a few trades made. What matters is how much profit each trade generates on average and how much loss risk it carries. That is the purpose of expectancy.

First, what is trading expectancy?

Expectancy is a metric that estimates the average long-term outcome per trade based on the win rate, average profit, and average loss. The formula is:

Expectancy = win rate × average profit − loss rate × average lo

What Is Momentum Trading? Why Can Sustained Price Gains Attract More Buyers, While Momentum Can Suddenly Fade?

In cryptocurrency markets, sustained price gains may attract more traders to buy in, while a continued decline may trigger further selling. Momentum trading seeks opportunities by capitalizing on the possibility that trends will continue, but a rise does not mean prices will necessarily keep rising, and momentum can weaken or even reverse at any time.

First, what is momentum trading?

Momentum trading is a trend-following strategy that primarily looks at an asset’s price performance

I kept my money on @ and decided to trust the team
I got this in return 😂
Why did you block me ffs?! @cz_

What Should a Trading Journal Record to Truly Help Improve Trading Performance?

In cryptocurrency trading, many people focus on their profits and losses every day, but rarely take the time to record why they entered or exited a trade, or what problems arose during execution. Without systematic records, traders tend to repeat mistakes and find it difficult to determine whether a strategy is actually effective.

First, record the basic details of every trade. This includes the asset traded, direction, entry price, exit price, time, position size, and leverage. These details help you reconstruct

How can you identify bull, bear, and range-bound markets so your trading strategy better matches market conditions?

The same trading strategy can produce completely different results in different market conditions. A method that works in a trending market may trigger frequent stop-losses in a range-bound market; a strategy suited to range trading may also miss opportunities during a sustained rise or fall. So before trading, you need to assess not only the price direction but also the current market phase.

First, observe price structure. Bull markets typically show progressively higher highs

Why can trading strategies that perform well in backtests fail in real markets?

A trading strategy may deliver strong returns, a high win rate, and even a well-controlled maximum drawdown in historical backtests, yet produce entirely different results once deployed in the market. The problem may not necessarily lie with the strategy itself; it may also stem from the gap between backtesting and live trading.

First, historical data does not represent the future. Backtesting can only evaluate a strategy's performance in specific historical market conditions. Market structure, volatility levels,

14:05 Sitting here watching MU (third coffee).
07:00 One candle with 150,189 shares lifted it from 804 to 815.
08:00 Touched 822.72; the day's high came in that very minute.
10:00 Still holding above 805, with six candles in total sitting above 800.
11:00 One candle with 268,081 shares slammed it from 808 to 793.
(One candle wiped out four hours of consolidation.)
12:00 Rallied back to 800.17, closed at 794.86; the second candle had 256,919 shares.
Two candles up totaled 300k shares; two candles down totaled 520k shares.
Now at 787.29, chart close at 787.31, with only 2,742 shares this hour.
(

One thing that can bring more people into crypto is simplicity.
Not everyone understands gas fees, private keys, networks, or complicated wallet interfaces.
The easier crypto becomes to use, the more people can explore its possibilities.
Great technology should not feel impossible to understand.
#Crypto #Web3 #Blockchain

🐋 WHALE WATCH :$440M liquidated in the past hour. $417M from longs.
=> $BTC broke below $69K.
=> $ETH dropped under $1950.
=> $SOL hit $78.
Longs got washed.

JUST IN: Bitcoin crashes under $68,000 and ETH crashes under $1,900

Why Do Futures Prices for the Same Cryptocurrency Differ Across Expiration Dates?

When you open a cryptocurrency futures market, you may notice that some futures contracts for the same asset, such as Bitcoin, are priced above spot, while contracts with later expirations are priced even higher.

If the underlying asset is the same, why do different contracts have different quotes?

The key is that futures prices depend not only on spot prices, but also on factors such as time to expiration, financing costs, market demand, and risk expectations.

First, different expiration dates mean different