QNT (QNT)Price Live Chart, Prediction, Market Cap, Token Unlocks, QNT Concept Stocks WalletJYS

BTC

$63,105.21

-0.94%

/QNT Price

QNT

No.88

$62.34

+3.93%

≈$62.34

Market Cap

$927.7M

Cir. Cap

$752.61M

Cir. Supply

12.07M

Cir. Rate

81.1266%

Total Supply

14.88M

Max Supply

14.88M

24h Volume

$67.76K

24h Vol (BTC)

4.22M

24h Turnover

0.560305%

Market Share

0.03%

Performance

Low

59.74

Range

+0.05%

High

63.00

Listing

$1.51

ATH (2018-08-23)

$428.38

-85.45%

ATL (2021-09-11)

$0.1636

+37998.38%

Official

Contract

Ethereum: 0x4a22...254675

Official

github

Social

Network

Converter

Chart

Market

About

Price

Cap

K-line

Depth

1 Minute

5 Minutes

15 Minutes

1 Hour

4 Hours

1 Day

TradingView

-0.86%

24H

+3.93%

-1.22%

30D

-7.34%

-46.04%

All

+4.03K%

AI Assistant

QNT下跌原因

QNT资金流向

QNT买卖支撑位

QNT多空比分析

QNT趋势分析

Ask AI

QNT Market

CEX Spot

CEX Derivatives

Pairs

#	Exchange	Pairs	Price	+2%Depth	-2%Depth	Volume (24h)
1	CoinEx	QNTUSDC	62.26	$11,407.77	$11,869.68	2,057
2	Crypto.com Exchange	QNTUSDT	62.292	$8,668.00	$9,494.25	4,962
3	Bitget	QNTUSDT	62.27	$8,668.00	$9,494.25	5,153
4	CoinEx	QNTUSDT	62.19	$8,668.00	$9,494.25	13,133
5	gate.io	QNTUSDT	62.31	$8,668.00	$9,494.25	13,506
6	Binance	QNTUSDC	62.43	$11,407.77	$11,869.68	27,418
7	MEXC Global	QNTUSDT	62.3	$8,668.00	$9,494.25	33,576
8	BingX	QNTUSDT	62.31	$8,668.00	$9,494.25	42,658
9	MEXC Global	QNTUSDC	62.27	$11,407.77	$11,869.68	57,655
10	WhiteBIT	QNTUSDC	62.35	$11,407.77	$11,869.68	64,983

16 items

Rows

#	Unlock Date	Unlock Amount	Unlock Value	Total Supply %	Unlock Details
No Data

About QNT

London-based Quant Network is set to revolutionise blockchain technology with the development of their blockchain operating system Overledger.

66%

33%

Bullish

Bearish

Community

Crypto GEMs 📈🚀

07-30 23:29

Win $10,000 USDC – Zero Risk! Start with demo trading, then move to live trading. 👇 🔗 The Fraction AI Demo Trading Championship officially launches on August 3rd. Compete for a share of the prize pool over 7 days. You will use index trading. The Quant AI agent runs on the Hyperliquid platform, scanning the live market to provide you with high-confidence trading setups, complete with historical performance and backtesting data. You still need to make trading decisions, but no more guesswork. Register through our link to receive a $10 deposit matching bonus. Deposit $10 and get $10 of instant trading credit!

312

Binance

07-06 20:32

New Stocks Listed Trade Stocks: ANTA, CBRS, DISK, FOTO, KMEM, QNT, and STRC 24/7 trading, 5 days a week. Zero commission, low platform fees, and over 7,000 stocks to choose from. Trade in one market, access the global market. Learn more 👉

456

Will

07-06 10:56

Career advice for the AI era, from someone who has worked at Scale, OpenAI, and Google: 1/ AI can solve all problems with standard answers. School exams, LeetCode, system design—these are becoming AI's domain. What's truly valuable is the ability to write a loss function 🧭 2/ He turned down a higher-paying quant offer at Scale. Through Scale, he met a group of future founders and landed opportunities at DeepMind and OpenAI. His conclusion: Money is the least scarce resource. Time, connections, and reputation are the truly scarce commodities. 3/ His company no longer tests LeetCode in interviews. They test: If you're put in an unfamiliar environment, can you quickly identify a worthwhile problem to solve? Agents can solve complex problems, but only if someone first identifies which problem is worth solving. 4/ There's only one criterion for choosing a company: Is this company working on the most ambitious version of this problem? Do they really have a chance to succeed? AI has made ordinary software too easy; the real barrier lies in extreme focus on truly difficult problems. 5/ The last 10% is 90% of the value. The agent's output is average; the real value comes from that extra polishing, clean architecture, and creative details. He can tell directly in an interview who has spent this time and who hasn't. 6/ He rejected offers from Anthropic and Cursor in 2023. Looking back, he thinks the decision was correct, but he didn't gather enough information at the time. Anthropic's earliest product was a Slackbot, even worse than ChatGPT. 7/ AI won't replace all knowledge workers. Because choosing which problems are worth AI solving is inherently a human task. Are you practicing your problem-finding ability, or just your problem-solving skills?

481

CryptoQuant.com

07-02 15:51

We are building the Vibe Quant community. This is a platform for traders to build strategies, alerts, and automate workflows using artificial intelligence and data. Paid API users will receive direct support from us. Tell us what data you need, and we'll respond quickly.

437

Ki Young Ju

07-02 14:08

437

CryptoQuant.com

07-01 22:16

Become a member of Vibe Quant. This community, dedicated to transforming on-chain data into AI trading agents, is now live ⤵️

417

CryptoQuant.com

06-23 20:19

Gate.com network traffic heatmap shows altcoin fund inflow signals “Altcoins such as VGX, AMP, ZRX, SAND, QNT, YFI, YFF, CHZ, GHST, MANA, JASMY, and COMP are currently experiencing outflows exceeding inflows on the Gate.com platform.” – Author: @joao_wedson @joao_wedson Read more ⤵️

414

Clever Jenny 🔶BNB

06-20 11:44

I found an interesting website, Quiver Quant, that meticulously analyzes every single one of Trump's stock trades, even marking the buy and sell times (there's a delay). There were over 3600 trades in Q1 alone, averaging 30+ trades a day—more frequent than a full-time cryptocurrency trader! They must have a dedicated person managing it. Seriously, if I just copied their trades, wouldn't I be guaranteed to beat Buffett and Musk? 🥹

324

Bitstamp by Robinhood

06-19 19:32

The following new assets are now available on the Bitstamp by Robinhood platform in the EU: $QNT (Quant) $ZRO (LayerZero) $FIGHT (FIGHT)

338

CryptoQuant.com

06-18 20:49

CryptoQuant MCP provides data for Vibe Quants. However, LLM (Logical Leverage Model) is inherently prone to illusions and errors, especially when real money is involved. Fortunately, we have solutions 🧵 1. Human Involvement Let AI do the heavy lifting: → Acquire market data → Run calculations → Analyze signals → Generate trading setups But before any trade is executed, the results need to be reviewed and ultimately approved by humans. 2. System Hints Set strict system hints. For example: - Strictly follow the user's approach - Don't introduce new indicators - Don't make assumptions when data is missing - Only return the requested format - Maintain consistency for every analysis The better the system hints, the more predictable the output. 3. Good User Hints Don't ask, "Analyze the market, tell me what to buy." But be very specific 👇 - Define the data. - Define the rules. - Define the output. 4. Data Validation Layer Incorrect data = Incorrect trades. Before AI processes any data: - Validate API responses - Check for missing values - Validate timestamps - Detect outliers Never let the model infer based on corrupted input. 5. Rule-Based Safeguards Some decisions should never rely on AI. Hardcode key risk rules: - Maximum position size - Maximum leverage - Daily loss limit - Allowed trading pairs Even if AI makes mistakes, the system must not compromise risk management. 6. Logging and Explainability Every decision should leave a trace. → Market input → AI inference → Generated signals → User approval → Executed trades If a problem occurs, you will know exactly why. If you want to use CryptoQuant MCP as Vibe Quant, Please see below👇

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