GateUser-e2575ae5

Everyone is rushing for FLOCK’s bounce, but I’m watching this pit at 0.0303000.

The 15-minute RSI has crashed to 25.77—classic oversold—but the daily trend is still bearish. The 4-hour chart’s bearish signals are very clear: price is hovering around the entry zone. Behind it is 6.8 points of downside momentum, while the bulls’ score is pitifully weak (-1.3). Oversold doesn’t equal a reversal, especially when the bigger direction is still saying “lower.”

Entry 0.0302441-0.0303559, stop loss 0.0312878

TP1 0.0295592 takes the first leg, TP2 0.0290653 the second leg, TP3 0.0283244 to wrap it up

Leave room in position sizing—this kind of range rebound also moves fast.

$FLOCK

Today’s Pi Network Main Screen and Blog Update Summary
BTC—ETH—PI
1. $Pi Node has been updated to version 0.5.4, bringing significant improvements in performance, stability, and user experience.
2. This version fixes several issues reported by the community in version 0.5.3, including node mining rewards, auto-updates, and block container creation.
3. Introduced a brand-new open port verification mechanism to more accurately track node rewards and ensure network security.
4. Updates enhance node reliability and ensure smoother performance across multiple systems and configurations.
5. Pi Desktop now supports opening approved external links, making it easier for users to access official blogs, resources, and updates.
6. Pi App Studio can now be accessed directly from the top navigation bar of Pi Desktop, making it faster and more convenient than before.
7. Fixed an App Studio Preview bug that caused deployed applications to display incorrectly on the dashboard.
8. The application is now officially named Pi Desktop, integrating Node, Mining App, and App Studio into a unified platform.
9. This version strengthens the core infrastructure of the Pi ecosystem, improving the experience for blockchain networks and developers.
10. The Pi core team also mentioned a case study with OpenMind, exploring how Pi nodes will support decentralized AI training and computation in the future.