The Larger the Total Token Supply, the Lower the Price? Don’t Be Misled by the Unit Price

In the cryptocurrency market, a common way of thinking goes:

“This token only costs a few cents. If it rises to $1, wouldn’t I make a lot?”

It sounds appealing, but this reasoning overlooks a key issue: a token’s unit price alone cannot reflect a project’s value.

I. Why Aren’t Low-Priced Tokens Necessarily Cheaper?

Suppose there are two hypothetical projects:

Project A: 1 billion tokens in circulation, priced at $1 each.

Project B: 100 billion tokens in circulation, priced at $0.01 each.

By simple

Live trading speaks, and our track record proves it—we never make empty claims.
The one-way downtrend over the past two days was completely in our hands. From the 9th to the 10th, we deployed trend-following short positions across the board in BTC and ETH, with all students entering at the same time. The best BTC trade delivered returns of 377%+, while the ETH trade also racked up gains of 312%+. We provided everything from entry points to profit-taking ranges upfront—no ambiguity, just real profits.
The crypto market never lacks opportunities; what’s rare is someone who can help you seize the

$BTC , $ETH & $XRP A bullish rebound is ready! The next move could be huge! BTC long trade entry: 73,500 – 73,850 Take profit 1: 74,200 Stop loss: 72,700 ETH long trade entry: 2,045 – 2,065 Take profit 1: 2,085 Stop loss: 2,010 XRP long trade entry: 1.055 – 1.065 Take profit 1: 1.075 Stop loss: 1.038

I’m emotionally stable and strong at my core now.
Hehe, I like this version of myself😉

191.3-182.9=8.4
8.4/120=0.07
7% conversion rate
What should I do when this conversion rate just won’t improve?

elysium speedrunning the entire crypto lifecycle in one day
launch, hype, dump, funeral
Wtf going on?
new chain unlocked
same old skill issue: trusting random devs with your money

How to Set Stop-Losses and Position Sizes? Use Risk Management to Protect Your Trading Account

In cryptocurrency trading, judging market direction is certainly important. But even if you correctly predict the trend, an oversized position can still lead to an unacceptable loss from a single pullback. Truly seasoned traders consider not only where to enter, but also how much they can afford to lose at most and how much they should buy.

First, determine the maximum acceptable loss for a single trade. Suppose your account has 10,000 USDT and you plan to limit the risk on each trade to 1% of your

Bitcoin and Ethereum long positions have risen to around 74000 and 2068, respectively; manage the range prudently and reopen positions later

Crypto Morning Brief｜November 11

Market Overview

The market has been broadly weak over the past 24 hours, with sentiment in the fear zone. Spurred by inflation data, prices dipped in the short term before recovering slightly. BTC is currently holding steady around $73,700, while ETH and SOL are also consolidating. Altcoins have fallen more sharply, with overall market capital shrinking and bullish sentiment subdued.

Macro Market

U.S. October CPI came in above expectations. The rebound in inflation fueled expectations of interest rate hikes, pushing Treasury yields higher and weighing on ri

🚀 Guys, CONGRATS🎉✨ TP1 has been hit 💯 Let’s $INIT — now go long! ‼️🔥📍 Entry price CMP — 0.2313🎯 Take profit: 0.2533🎯 Take profit: 0.2700🛑 Stop loss: $0.1890 Manage risk well and trade rationally. 🚀

What Is Strategy Overfitting? Why Should We Be More Cautious When a Historical Return Curve Looks Better?

In cryptocurrency trading, some strategies have their parameters repeatedly adjusted until their historical return curves look very smooth and their win rates are high. But once they enter the real market, their performance drops significantly. This may be strategy overfitting: the strategy has adapted too closely to specific patterns in historical data without learning to handle future market changes.

First, how does overfitting occur?

Common causes include repeatedly adjusting paramet

Scumbag Watch: RKLB 11.11
Little Rocket closed at 62.71 in the U.S. market, up 6.54%. It hit an intraday high of 63.77 and a low of 54.96.
Little Rocket opened lower and climbed throughout the day. It was down as much as 10% in premarket trading, but ultimately closed around 62, moving above the 30-day moving average. The 60-day moving average capped its gains during the day. Tonight, we’ll see whether it can break above the 60-day moving average. If it can hold above that level, it could go on to test the 200-day moving average near 78.

Why Can a Strategy Perform Well in Backtests Yet Keep Losing Money Live?

A trading strategy may have a high win rate in backtests, a steadily rising return curve, and a seemingly acceptable maximum drawdown.

But once deployed in the real market, the results can be completely different: trading costs keep accumulating, actual execution prices deviate from expectations, several trades in a row lose money, and the once-impressive return curve gradually loses credibility.

Where exactly does the problem lie?

Backtesting evaluates a strategy’s performance under specific historical data and assum

#AnthropicIPOValuationCouldReach1.4T Anthropic IPO Could Reach a Stunning $1.4 Trillion Valuation! 🚀

The AI industry may be heading toward another historic milestone. Anthropic, the company behind Claude AI, is targeting an IPO valuation of up to $1.4 trillion on a fully diluted basis, putting it among the most valuable technology companies in the world.

According to its latest filing, Anthropic plans to offer 825 million shares at an estimated price range of $70–$78 per share, potentially raising up to $64.4 billion.

But this story is bigger than just another IPO.

Anthropic's public debu

Taiwan stocks briefly surged to 43,385 points before noon, with a big bullish candle in TSMC pushing the index back above 43,000. #Gate上线台股交易 #美股AI概念股普跌

The TAIEX opened at 43,135 points this morning, then climbed to an intraday high of 43,385, up 674 points. At around 10:23, it was last at 43,190, up 511 points (+1.2%), back above the 10-day moving average, with turnover estimated at NT$985.6 billion. It closed at 42,711.92 points yesterday (up 1,050 points), and today marks the third day of the rebound.

The driving force was TSMC: October revenue rose more than 59.7% year over year to a r

Why can you lose money even when you correctly predict the direction in futures trading?

In crypto futures trading, there’s a frustrating situation: you correctly predict whether BTC will rise or fall, but your account still doesn’t make money. The problem may not be your market prediction, but leverage, position size, trading costs, and execution.

First, excessive leverage. Suppose you open a position with a notional value of 10,000 USDT. If the price moves 1% in your favor, the theoretical profit or loss is about 100 USDT; if it moves 1% against you, the theoretical loss is also about 100

What is market liquidity? Why doesn't high trading volume necessarily mean large orders can be executed smoothly?

In cryptocurrency trading, trading volume is often used to gauge market activity, but high volume does not mean the current bids and asks are necessarily sufficient. What really determines whether orders can be executed smoothly is the depth of orders at different price levels, the bid-ask spread, and the market's ability to absorb buying and selling pressure while orders are being executed.

First, what is market liquidity?

Market liquidity refers to how quickly an asset can be

What Is Out-of-Sample Testing? How Can Data Not Used in Strategy Optimization Help Determine Whether Backtest Results Are Meaningful?

In cryptocurrency trading, even a strategy that performs well in historical backtests may simply be tailored to specific data. Out-of-sample testing uses data that was not involved in strategy design or parameter optimization to check whether the strategy remains effective in unfamiliar market conditions, reducing the risk of misjudgment caused by overfitting.

First, what is out-of-sample testing?

Data used to develop a strategy is called in-sample data, whil