Talis
247 posts collected
Talis
@talistrade
Chat to trade stocks, commodities, FX, crypto and more with your personal trading agent Talis.
This archive holds 247 posts and 312 replies back to 16 Feb 2026
If you trade in size on Hyperliquid - you are leaving money on the table by not optimising your execution. With Talis AI’s built in liquidity seeker algorithm you can save ~95k on every 50 million traded. t.co/tJEfSJ1GKg
If you’re trading large volumes on Hyperliquid, using more advanced execution algorithms could help you save on ~20 bps on every trade. ($95K on $50 million volume) Talis provides these algorithms through our AI and our interface. Reach out if you’re interested in learning more!
http://x.com/i/article/2081961617156165632
2 of 3 replies collected
“People who’s first time using a wallet in crypto and realizing that it’s actually quite similar to the APIs they use in tradfi to trade” @xulian_hl This is what we’re most excited by, mitigating the barriers opens the floodgates where tradfi realizes that @HyperliquidX is innovating on finance entirely and have built a better product for all. It’ll happen slowly and then all at once.
The State of Hyperliquid in 2026. @xulian_hl and @Sterling_hl from Hyperliquid Labs join @HansonBirringer to discuss HIP-3, builder codes, HyperEVM, institutional adoption, and what comes next for @HyperliquidX. 0:30 H...
Our liquidity seeker algorithm is designed to execute for you. Most traders use the native TWAP, which broadcasts your trade intent publicly and naively takes on every slice. The liquidity seeker instead runs on our private server side infrastructure, and reads microstructure to work your order passively as a maker. Resulting in 91% of fills landing passively instead of crossing the spread. On 50m of volume that’s 95k that stays in your account instead of going to the market
@talistrade execution is the key
This time last year, I knew HIP-3 was going to be huge. It’s been crazy seeing it play out over time, and it’s been more successful than I ever imagined. Super excited to build for the @HyperliquidX community and bring the institutional execution engines & algos I could
Excited to launch @talistrade publicly on iOS! We’re building the AI-trading ecosystem to make algo trading accessible and easy for everyone, built on the best exchange @HyperliquidX! Try it today: t.co/55hL4SxjZt
3 Interesting Projects Building on @HyperliquidX hyperliquid:native is growing into more than just a perpetual exchange. Here are three projects that recently caught my attention. 1. @TalisTrade Talis is building an AI powered trading platform on Hyperliquid with the goal of t.co/TjyehgtFBr
Hyperliquid weekly update July 27, 2026 @Bloomberg covered @tradexyz CXMT market, another sign that Hyperliquid is catching eyes way outside the usual crypto bubble • TWAP orders now offer more control with trigger prices and max/min price limits • HIP-3 markets just smashed t.co/q0m9X1xbtp
Open models matter because the VC subsidies on compute costs will end eventually, and when closed frontier models get too expensive for most people, they are what keeps intelligence accessible. We 🫶 Jenson Trade your $NVDA thesis on Talis!
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, a...
Our execution stack @talistrade is built to be super low latency and easy to expand, it can execute just about anything! Taking feature requests for anything you would like to use in Talis trade. DM me and we’ll try to ship it asap!
Thank you to all the early supporters, we appreciate you 🫶. The vision of what Talis is building will become clearer as we continue to improve. Ad Astra 💫
Excited to launch @talistrade on iOS, an AI-native Hyperliquid trading app built to onboard the next million traders on-chain. To celebrate, we're giving all our users free access to GPT 5.6 Sol! Everyone will be tradi...
Talis Trade was created with the mission of being the mobile app that @HyperliquidX deserves. To us this meant skipping all the shortcuts and obsessing over the details: - building natively for iOS in swift - writing our own custom charting layer so that the app can keep up t.co/XswB6iUtKt
been looking for good trading mobile apps on hyperliquid kinda tired of doing all the research myself and jumping between multiple apps talis is actually pretty convenient cause it combines everything in one place also instead of making 'ai trading' the product, they're using
Excited to launch @talistrade on iOS, an AI-native Hyperliquid trading app built to onboard the next million traders on-chain. To celebrate, we're giving all our users free access to GPT 5.6 Sol! Everyone will be trading algorithmically, not just institutions and Talis is bringing that capability to your fingertips. Here's what we give you: - 2.8 bps fee on perps (lower than most apps), everything else is free - customizable algo strategies through AI - built-in privacy through server side execution - easy UX yet built for pro-execution - trustworthy on/off-ramping (use Interac e-transfer or cashapp if in the US/Canada!)
You can use voice to trade on @talistrade! 150 million+ talk to their AI, over 1 million+ devs talk to code. We want traders to have the same frictionless experience. BUT with professional grade tools to trade intelligently. Try it today 👇 t.co/Cr80EF4f7r
You can use voice to trade on @talistrade! 150 million+ talk to their AI, over 1 million+ devs talk to code. We want traders to have the same frictionless experience. BUT with professional grade tools to trade intelligently. Try it today 👇 x.com/talistrade/status/207963…
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lea...
@lesabrefomo Been building @talistrade to be the first trading experience designed from the ground up to be agent native. The first unlock that sparked the idea was that agents would make it easier to interact with the execution engine that we built. For example you can tell the ai in