# FHE

Short #FHE to hell

#FHE Empty! Short to get rich💰

#FHETokenExtremeVolatility 🚨
Extreme volatility is not just noise — it’s information.
$FHE is currently experiencing sharp price swings, and while many see chaos, smart traders see opportunity backed by data and fundamentals.
📊 What’s driving the volatility?
• Sudden spikes in trading volume
• Rapid sentiment shifts across the market
• Liquidity movement from short-term traders
• Speculation around future development and adoption
⚡ Why FHE is worth watching closely:
FHE operates in a space where innovation meets scalability, and historically, assets with strong narratives often show high vol

Programmable privacy that compiles → FHE in production
➠ What @zama_fhe ships
▸ FHEVM: compute on encrypted data while writing Solidity as usual (import lib, swap a few ops, done)
▸ Encrypted prediction markets: forecasts stay sealed until reveal windows, cutting herd effects and improving calibration
➠ Proof it can scale
▸ Bootstrapping <1 ms with new algos + GPU acceleration → 20 50× vs 2021, hundreds of thousands/sec on clusters
▸ Public testnet live; roadmap: Ethereum mainnet → multi‑chain (ref: @vcpedia_com)
▸ $130M total raised incl. $57M Series B, $1B valuation (via @ffnews)
▸ No offici

➥ FHE Onchain The Zama Chapter
I’ve been digging into how @zama_fhe brings fully homomorphic encryption to EVM, and the design space is wild
tl;dr What FHE changes
▸ Compute directly on encrypted data, no decryption step
▸ Trust math over hardware (contrast TEEs), complement ZK proofs
▸ Privacy at the function level, not just at the transport layer
fhEVM in 30s
▸ Solidity with encrypted primitives (euint/ebool) and FHE ops
▸ EVM-compatible dev flow, private state + private compute
▸ Off-chain FHE workers / coprocessors to handle heavy ops
▸ Keys remain with users or split via threshold sche