$SPK /USDT Market Update Current Price: 0.0638 (+7.81%) $SPK showed strong movement today with high volatility. Price hit a 24h high of 0.0679 and a low of 0.0580, showing sharp up-and-down swings. Trading volumes remain heavy, with over 423M SPK traded in the last 24 hours. Despite corrections, bulls are still active, keeping momentum alive. Outlook: As long as $SPK holds above 0.0610 support, bulls may try to retest higher zones near 0.0685. If support fails, expect more pullbacks toward 0.0580. Up and down continues—traders should stay cautious and manage risk carefully.
$ETH /USDT Market Update Current Price: 4,297.64 (-3.86%) Ethereum has slipped back to the 4300 zone, testing fresh lows after hitting a 24h high of 4,490.64. The decline signals selling pressure, but for patient buyers this may soon turn into a good entry opportunity. Key Levels to Watch Support: 4,100 – 4,200 Resistance: 4,450 – 4,500 If $ETH holds above 4,300, a bounce toward 4,400+ is possible. However, failure to defend this zone could push it lower before another buying window emerges. Outlook: Market structure remains volatile, but dips around 4,300 are worth watching closely for accumulation. $ETH ETH ETHUSDT Perp 4,309.8 -3.24%
The large pancake ether continues to fluctuate, maintaining a bearish trend over the weekend, and will continue to fluctuate on Monday following the US stock market!
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$VIC has bounced strongly from the $0.2564 zone and is now testing the key resistance near $0.2800. If it breaks above with volume, a bullish continuation could follow.
Trade Setup (4H Timeframe):
Entry Range: $0.2740 – $0.2780
Stop Loss: $0.2670
Target 1: $0.2880
Target 2: $0.2970
Target 3: $0.3090
Buy pressure remains dominant (65%) with solid recovery signs. Watch the $0.2801 level closely breakout could trigger a rally.
Only after deeply experiencing Chainbase's on-chain analysis tools can one truly understand why it has become the "on-chain radar" for institutional players. Unlike the superficial information piling of ordinary data platforms, Chainbase's core competitiveness lies in the structured reconstruction of on-chain data.
For example, its original "funding map" feature can associate scattered wallet addresses to the same entity through address clustering algorithms. Even funds that have been laundered multiple times through mixers can trace their origins through the interaction traces of smart contracts, making it a powerful tool for identifying the long-term layouts of major investors.
Recently, the upgraded DeFi module has been a focus of testing: the newly added "liquidity health score" system is quite interesting. It not only calculates the absolute value of TVL but also combines 12 dimensions such as the volatility of the staking rate, deviation from liquidation thresholds, and cross-chain asset interconnectivity to generate a dynamic risk coefficient. For instance, a leading lending protocol may have a surface TVL of 500 million dollars, but Chainbase's data shows that the proportion of stablecoin collateral has plummeted by 20%, with alternative tokens mostly being highly volatile altcoins. This underlying liquidity risk is something that ordinary dashboards cannot capture at all.
From a developer's perspective, its API ecosystem deserves high praise: the batch address label query interface supports 100,000 calls per second and comes with an anti-scraping mechanism. Previously, using other tools to scrape 100,000 ETH millionaire list addresses would take 3 hours; now, Chainbase's SDK synchronizes directly and can also include historical interaction labels for each address (such as DEX traders, NFT minters, stablecoin market makers), improving data cleaning efficiency by at least 80%.
It is said that their next step is to launch the "on-chain sentiment index," which will predict market hot spots by analyzing unstructured data such as the frequency of smart contract deployments, abnormal fluctuations in gas fees, and the speed of new address creation. This evolution from "data presentation" to "decision support" may be the key to Chainbase attracting a large number of quantitative teams.
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