How I built ATMOS and took market making on @entropyIO to a whole new level. Six months ago I thought market making was simple. Put orders on both sides of the price and earn the difference. The market showed me how wrong I was. Where it started My first strategy on Entropy worked. Kind of. Volume was flowing, orders were getting filled. But every evening I looked at the numbers and saw the same thing. On a calm market I made pennies. On one sharp move I lost everything I had made that day. So I started reading. The first book was "Trading and Exchanges" by Larry Harris. One idea from it changed everything for me. In market making, what matters is not how often you trade. What matters is who trades with you. When your order gets filled right before the market moves, that is not luck. Someone on the other side knows more than you. The second was the work of Easley, López de Prado and O'Hara on toxic order flow. They showed that this kind of flow leaves traces, and you can see them before it hits you. The third was "Trades, Quotes and Prices" by Bouchaud and co-authors. It taught me how the order book really works and how every trade moves the price. After those books I knew I didn't need a strategy that just places orders. I needed one that knows when not to. Step 1. Data For the first weeks I didn't write any strategy at all. I only collected data. Every trade, every order book change, every move on other venues, every one of my fills. Millions of events. Then I went through my trades one by one. Why did this one go well and that one cost me? What was happening a second before it? Ten seconds before? Step 2. The first patterns The expensive trades were not random. They had a signature. I saw that the market often moves in one place first and only then in another. If you watch where the price changes first, you can see the move before it reaches your order. I saw that the most dangerous moment is right after a sharp move, while the market is still settling. And I saw something I didn't expect at all. When the US session opens, the market becomes a different market. The spread behaves differently, the flow gets sharper, there are more professionals. What worked perfectly at night started costing money during US hours. Step 3. I was getting in my own way This was the biggest surprise. When many people run the same strategy, their orders naturally pile up at the same price. One big player could take them all at once, and those were the most expensive trades of all. So I taught ATMOS to see all of its users at once and place them so they don't get in each other's way. Step 4. Not fooling myself The hardest part was not finding ideas. It was not fooling myself. I had dozens of ideas that looked brilliant on paper. On the live market half of them didn't work. Some made things worse. Once I spent a whole day celebrating a huge improvement. Then I found out it was just noise. The same "effect" showed up when I compared the strategy with itself. After that I set a hard rule. No change reaches users until it proves itself on the live market, in a fair comparison, against a success criterion I write down in advance. First a test on historical data, then a live test, then a decision. No "let's see". It slowed me down. It also saved me. Step 5. The turning point Over time one thing became clear. Any number you set by hand eventually becomes wrong. The market changes and the number doesn't. Morning and evening, US and Asia, calm and storm. These are different markets, and each one has its own right answer. So I stopped looking for the perfect settings and built a system that finds them on its own. ATMOS keeps testing, compares what works right now and shifts toward what works better. Every day. Without me touching it. That is how a set of rules turned into a model that learns. What came out of it ATMOS sees the whole market at once. It picks its own place in the order book, decides when to enter and when to wait, and steps aside before a sharp move reaches your order. And it adapts to every market regime on its own. How exactly it does that, I'm keeping to myself. That's months of work and the thing that sets it apart. But I can say this. Every trade with ATMOS costs users less than anything I built before it. And it gets better every day. ATMOS is live on Entropy. This is only chapter one.

80,643 referral points on @OndoPerps Is that a lot? 😄 And thanks to @vesper_mm for making it possible to trade on Ondo with low CPM - great to see our project helping users save on trading costs.

Not saying anything. Just saying: make it before Sunday. Don't say I didn't warn you.

Half a billion. Built by a small team, one trade at a time. Proud of this one.

2x for a week. Doing the math on my friends list right now.

We generated nearly half a billion from Ondo alone.

Qfex and a new risk control core are now available on Vesper.

Meet EXITE.

When I started building @vesper_mm, I didn't think I would ever reach a volume of 100 million in a single week. Thank you to everyone for your contribution to the development of Vesper.

Numbers speak for themselves.

So, shall we get started?

Sub-100 CPM on @OndoPerps used to feel out of reach. Two months of studying order books across markets, testing every day, and refining execution brought us here. Meet ARGENT. Built for Gold and the S&P 500. A big milestone for Vesper. Proud of what we’ve built.

We are achieving incredible results day by day. We’ve already generated nearly half a billion in volume on Vesper.

V-Points are live. It mattered to me that the first distribution included the people who used Vesper before there was a points program to announce. Thank you for your trust, your feedback, and your support from the early days. This one is for you.

From the very first day of the @bulktrade launch, our Vesper is already available for market making.

Introducing Vesper Auto for @entropyIO Set your margin and leverage. Vesper evaluates live execution across markets and chooses where your strategy trades. Less monitoring. Smarter market selection.

Introducing the new Vulcan mode on @vesper_mm, created specifically for @OndoPerps It is configured exclusively for gold trading. We are growing at an incredible pace every day.

Guess whose bot accounts for 45% of the total daily volume for Anthropic on @entropyIO