🚨 NEW TRADFI LISTINGS 🚨
$JPM - JPMorgan Chase & Co
$V - Visa Inc
$WMT - Walmart Inc
$BRK.B - Berkshire Hathaway Inc
$FLNC - Fluence Energy Inc
$DRAM - Roundhill Memory ETF
Now available for both manual traders and AI trading agents.
🔹 Up to 25x leverage
🔹PriveX Points earned on every trade
🔹Solver-driven execution with CEX liquidity
Trade here → https://t.co/87EjxxPYpV
HyperLiquid won on speed, depth, and execution. It also made every successful trader on it a target.
The next phase isn't faster perps. It's private perps.
Private trading, deep liquidity, natively agentic. The endgame is privacy on top of execution.
🚨 NEW TRADFI LISTINGS 🚨
$UBER - Uber Technogies Inc.
$CSCO - Cisco Systems Inc.
$HD - Home Depot Inc.
$SOXL - Direxion Daily Semiconductor Bull 3x ETF
$MRVL - Marvell Technology Inc.
$CRWV - Coreweave Inc.
Now available for both manual traders and AI trading agents.
🔹 Up to 25x leverage
🔹PriveX Points earned on every trade
🔹Solver-driven execution with CEX liquidity
Trade here → https://t.co/Qr10c1PHfc
.@COTInetwork just launched a complete library with privacy skills that covers the full agent lifecycle.
8 Agent Skills · 48+ MCP tools · 2 MCP servers
Running a private agent has never been more accessible.
Connect it to PriveX with this starter CLI: https://t.co/MD4mI6Cy2I
Private Skills just dropped for Onchain AI agents 🔒
Built for @Claudeai, @OpenClaw, Hermes, and any MCP-compatible agent.
→ Wallet. Encrypted messaging. Private tokens. NFTs. Smart contracts. Transaction tools.
→ One install.
Here's what each skill does 🧵👇
The same is true in trading.
Public DEXes are convenient. Fast, cheap and liquid. Traders accept the exposure because everything else works.
With PriveX they don't have to choose. Private trading, deep liquidity and natively agentic.
Building with @COTInetwork.
🚨 NEW TRADFI LISTINGS 🚨
$AMD - Advanced Micro Devices Inc.
$QCOM - Qualcomm Inc.
$DIS - Walt Disney Co.
$LITE - Lumentum Holdings Inc.
$ORC - Oracle Corp.
$USAR - USA Rare Earth Inc.
Now available for both manual traders and AI trading agents.
🔹 Up to 25x leverage
🔹PriveX Points earned on every trade
🔹Solver-driven execution with CEX liquidity
Trade here → https://t.co/TbcYfU64in
The next DeFi wave will be defined by autonomous systems. Agents that execute while keeping the most important details protected.
When intent is exposed, edge gets harvested.
Privacy is the next frontier.
PriveX is building for that future.
https://t.co/xikUSe8BTb
🚨 NEW TRADFI LISTINGS 🚨
$BABA - Alibaba Group Holding
$MSFT - Microsoft Corp.
$AVGO - Broadcom Inc.
Now available for both manual traders and AI trading agents.
🔹Up to 25x leverage
🔹PriveX Points earned on every trade
🔹Solver-driven execution with CEX liquidity
Trade here → https://t.co/Mrf6Ok5cFa
.@NousResearch's Hermes already connects to PriveX.
@COTInetwork's on-chain privacy for agents is live.
The piece we're shipping next: trading with your strategy's economics, balances, and fills encrypted on-chain.
Private trading endgame, loading...⏳
Hermes by @NousResearch just got on-chain privacy 🔐
Every Hermes agent can now create private wallets, send encrypted messages, and earn $COTI rewards.
Time to unleash the world's most-used open-source AI agent on the COTI Network.
Load the COTI skills and Hermes handles the rest.
👉 https://t.co/yBmvataOGM
🚨 NEW TRADFI LISTINGS 🚨
$SNDK - Sandisk Corp.
$MU - Micron Technology
$TSM - Taiwan Semiconductor Manufacturing Company
Now available for both manual traders and AI trading agents.
🔹 Up to 25x leverage
🔹PriveX Points earned on every trade
🔹Solver-driven execution with CEX liquidity
Trade here → https://t.co/TbcYfU6C7V
@Praxis_Base Yes. Loss limits are configurable constraints in the agent's strategy.
It's opt-in by design. We don't impose a default ceiling. The operator defines the boundries, including max loss, and the protocol enforces whatever they set.
Before you deploy an autonomous trading agent, you have to answer one question:
How much freedom do you give it?
Some agents follow strict rules. Some agents make their own calls. Both work on PriveX. The right choice depends on your strategy.
🧵
https://t.co/xikUSe8BTb
6/ Plenty of operators run both.
A tight agent on a strategy they trust. A loose agent on one they're still testing. Different limits for each, same platform underneath.
The model is the input. The architecture is the moat. How much freedom you give the agent is your call.
Full breakdown: https://t.co/lS7fFhVmYD
5/ Go loose when:
– What matters changes with the market
– Conditions show up that your rules never planned for – The signals need real judgment (news, on-chain events, sentiment)
– You're still figuring out what works and want the agent to help you find it