$BTC /USDT Short (Bearish) Setup
Trigger: Price breaks below support ~89,700 USDT after confirmation of structure and momentum.
👉 Enter Short (Sell): < 89,700 USDT (after clean breakdown and retest)
Stop-Loss (SL): ≈ 90,200 – 90,300 USDT (above breakdown level)
Take-Profit (TP) Targets:
TP1: ~88,820 USDT
TP2: ~86,140 USDT
TP3: ~81,950 USDT
TP4: ~79,330 USDT (final target if bearish momentum accelerates)
(Levels from current short-term breakdown structure)�
TradingView
📈 Alternative Short Setup (Retest Style)
If price retests breakdown resistance after initial move:
👉 Sell on retest of ~89,700–90,000 USDT zone
SL: > 90,300 USDT
TPs: Same as above: 88,820 → 86,140 → 81,950 → 79,330 USDT �
TradingView
$LPT — pullback after the blast 💥
That move was no joke. 2.80 → 3.87 in one clean impulse, now price is sitting around 3.69.
On 1H this looks like a normal post-breakout cooldown, not distribution.
The dump candle didn’t erase structure — buyers are still defending.
Key levels I’m watching:
• 3.50–3.55 → strong demand / higher-low zone
• 3.87 → local top, needs a clean reclaim
• Hold above 3.50 = bullish continuation bias
• Lose 3.50 = deeper pullback, still healthy after a vertical run
Momentum is already proven.
Now it’s about patience + confirmation, not chasing green candles.
What’s your plan here — hold, add, or wait? 👀
{spot}(LPTUSDT)
Walrus Write Flow: Every Node Gets Its Pair + Signed Proof of Storage
Write operations in Walrus follow an elegant protocol that ensures accountability while maintaining efficiency. When a client writes a blob, it doesn't broadcast to all validators.
Instead, fragments are delivered to specific validators determined by 2D grid structure.
The write flow is deliberate: each validator receives its designated sliver—the specific fragment it's responsible for storing. For primary slivers, this is direct blob data. For secondary slivers, this is derived redundancy. The protocol computes which validator gets which fragment from grid position and blob ID.
Critically, each validator that receives a fragment returns a cryptographically signed proof of storage. This proof, recorded on-chain via Sui, becomes an immutable record that the validator accepted responsibility for that specific blob and fragment. The signature proves the validator's explicit commitment.
This proof-of-storage model is more powerful than traditional approaches. A client has cryptographic evidence that specific validators hold specific data. If a validator later claims data is lost or unavailable, the signature is proof of dishonesty. Disputes are resolved on-chain with mathematical certainty.
The signed proof also enables economic incentives. Validators that consistently provide proofs earn reputation and fees. Validators that refuse or delay proofs face economic consequences. The on-chain record is transparent and enforceable.
This write flow combines efficiency—no broadcasting—with accountability—every fragment has a verifiable signature. The result is reliable storage where dishonesty is impossible to hide.
@WalrusProtocol #Walrus $WAL
{spot}(WALUSDT)