James | OmenX

Founder & CEO @OmenX_Official. Former Head of Futures at Binance & Bybit. Writing about market structure, prediction markets & short-duration trading.

[James | OmenX @JamesOmenx]

CLARITY stalled. “Just wait” is a terrible business plan. My first thought after the Senate failed to advance CLARITY was about the product decisions small teams still have to make tomorrow morning.

Which customers do we build for? Where do we spend the next six months of engineering? Which products have a legal path we can actually plan around?

“Let’s see what happens in Washington” doesn’t answer any of those questions. It still burns time and money.

At some point, an unanswered regulatory question becomes a product decision. You narrow the launch, put a feature on hold, or commit the team to a market where you understand the requirements better.

You keep building. But uncertainty has already edited your roadmap.

That is a much bigger cost than the legal bill.

A lawyer can charge you for another opinion. Nobody sends an invoice for the product you decided was too expensive to even attempt.

I’ve also worked inside large centralized exchanges, so I know the other side deserves more than “big companies can afford lawyers.”

A large exchange has existing customers, banking relationships, custody arrangements and operations across jurisdictions. Changing direction can affect an entire live business. Regulatory uncertainty is expensive at that scale too.

But scale buys options.

A well-funded company can keep several paths open: pursue licenses, work through legal questions and develop products in parallel. A small team often has to choose which path it can afford.

Both companies can suffer while the gap between them gets wider.

That’s the uncomfortable part. A large exchange can sincerely want clearer rules and still become harder to compete with while everyone waits.

The ability to absorb uncertainty becomes a competitive advantage.

And in trading, time changes the market you eventually enter.

Traders tend to go where they can get better execution. Market makers commit capital where there is enough flow. That capital can improve execution and attract more traders.

Once those relationships and habits form, they take work to displace. A later vote in Washington won’t automatically move the users, integrations and liquidity back.

A delayed launch can leave you competing against a market that has had another year to develop.

None of this makes every version of CLARITY worth passing. The details matter, including who can realistically meet the requirements. A badly designed framework could raise the barrier to entry even further.

This was also a procedural setback. Agency work continues.

My concern is what happens to competition during the wait.

We’ll hear from the biggest companies because they have the reach to explain what this costs them. The harder losses to see are the teams that quietly drop a product, stop pursuing a market, or never get funded in the first place.

By the time the rules are clear, some of those competitors may already be gone.

You can end up with a more concentrated industry without anyone ever voting for one.

That deserves as much attention as the next vote count.
#CLARITYAct

[James | OmenX @JamesOmenx]

@kvnqobi Thanks Obi, appreciate you reading 🙌

[James | OmenX @JamesOmenx]

What happens after your prediction starts winning?

On September 20, our OmenX account posted a screenshot from the Madrid derby: Atlético at 79%, Real Madrid at 6%. The update described a goal and a red card changing the market within a minute.

It is an easy image to share. It is also a useful place to start a much harder product conversation.

Imagine you backed Atlético before the move. You still think they will win, but you would like to take some money off the table. You open the app and tap “sell part of my position.”

What, exactly, should happen next?

The percentage on the screen does not answer that question. A displayed market price is not a promise that your entire order can trade there. It does not tell you how much you will receive after fees, whether all of your order has filled, or how much exposure you will still have when you put your phone down.

This is where I would spend much more product effort in live prediction markets.

Start with a simple example, separate from the actual match. Assume a fully funded contract that pays $1 if its stated condition is met and $0 otherwise. No leverage.

You buy 100 contracts at 40 cents, spending $40 before fees. Later, the screen shows 79 cents. Suppose buyers will actually take 40 of your contracts at 76 cents. These prices and fills are illustrative, not a reconstruction of anyone’s trade.

Selling those 40 returns $30.40 before fees. The portion sold originally cost $16, so the realized profit is $14.40 before fees. You still hold 60 contracts, with an original cost of $24. Those contracts can still settle at zero.

That is a very different explanation from showing one green number labelled “profit.”

A usable position screen should separate the money already received, the contracts still held, and the amount that remains at risk. If leverage is involved, margin and liquidation conditions need their own explanation; the fully funded example is not enough.

Now introduce the situation that a tidy demo leaves out. The user asks to sell 40 contracts, but only 15 trade before prices move. They then press cancel.

The interface needs to distinguish an instruction being sent, an order being accepted, a partial fill, and a confirmed cancellation. Until the remaining order is confirmed cancelled, the user should not be led to believe it cannot trade. They also need a reliable way to recover the order’s status after losing their connection.

None of this requires teaching a casual football fan exchange architecture. It requires translating that architecture into a clear account of their money.

After running futures businesses at Binance and Bybit, this is the lens I bring to building OmenX. A fast market gives users less time to notice that they misunderstood something. The product has to do more of the explaining before the next goal, red card or price jump.

I would test this with a small group of first-time users. Give them a position, change the market, and ask them to reduce it. Then ask them to explain what happened without help. Can they identify the completed sale, the remaining position and any order still waiting to execute?

I would also compare their subsequent return rate with users whose exit was confusing, separating promotions and event types. That would test a retention hypothesis, not prove one from a handful of anecdotes. More transactions alone would not establish that the experience improved.

The screenshot shows a market reacting. It does not establish execution quality, realized customer returns, or that every feature described here is available today.

My bet as a builder is that the next durable growth opportunity sits in this less photogenic part of the journey: helping people manage a position they already own, well enough that they trust themselves to return.

[James | OmenX @JamesOmenx]

@TechFlowPost @glassnode @Bybit_Official 这类上涨最容易看错的地方是：强平会推高价格，也会同时把空头仓位从 OI 里清掉。强平结束后，需要接着看：现货买盘能不能接住、永续 OI 是否很快重新堆高、资金费率是否在上涨中迅速转正。若现货不接而杠杆马上回来，行情只是变成了另一边更脆弱。

[James | OmenX @JamesOmenx]

@yasu0x1 @TechFlowPost 两个都要看，还要加一个分母：下一次解锁的量，相对真实成交和可卖出的深度有多大。首日流通 20%，可能接下来半年都没大额解锁，也可能下周就释放一大批，交易条件差很多。

所以首发流通、未来 30／90 天解锁和接收方分开看。解锁不等于立刻卖出，但只用一个流通比例，也判断不了市场能否承接的

[James | OmenX @JamesOmenx]

That’s a useful distinction for football fans: a City position can appreciate after an Arsenal slip without City having won the title. The exit still matters—you need a buyer at the price and size you want, not just shorter displayed odds.

I’ve put together a worked example of partial exits in live prediction markets. Happy to compare it with your season-long trade: what changes when the repricing window is a minute rather than a weekend?

[James | OmenX @JamesOmenx]

@0xLogicLog @akitabtc 交易里，搜索只是前半程。多个 bot 同时看到同一机会后，真正吃掉利润的往往是延迟、滑点、失败重试和库存占用。做交易系统时更关心另一件事：什么条件下应该放弃执行。预期收益覆盖不了手续费、冲击成本和最坏撤单时间，找到机会也只是看见了钱，没有拿到钱。

[James | OmenX @JamesOmenx]

I’d add one column: how each move was funded. A token up 40% on spot demand with flat leverage is in a very different regime from one up the same amount while perp OI and funding expand.

Revenue and tokenomics explain what may persist. The spot/perp mix tells you how fragile today’s price is.

[James | OmenX @JamesOmenx]

@maid_crypto 预测就是期权的另一种表达呀，回归本位

[James | OmenX @JamesOmenx]

@mlmabc The Hyperliquid leg makes him look like a losing bear. Against 202K ZEC spot, a 38K ZEC short only hedges about 19% of his units.

That’s why venue PnL is such a bad proxy for portfolio PnL. The useful number is estimated net exposure across spot and derivatives.

[James | OmenX @JamesOmenx]

The best part of this design is that the user chooses the outcome, not the route: start with an asset on one chain, end with a perp position or another asset, and let the product handle venues and bridging.

The harder test is failure recovery. If a route breaks halfway, can the user see exactly where the funds are and who owns the next step?

[James | OmenX @JamesOmenx]

@Yes_Johnny910 @OmenX_Official 老板好，实在不好意我们这边的疏忽导致提现卡住了，现在已经解决，非常抱歉给你带来了不好的体验，我们内部也在优化流程 ✊ 账户已经充值了多张体验劵，欢迎继续使用

[James | OmenX @JamesOmenx]

Roma–Inter is the one I’d watch.

Before kickoff, most users care about the outcome. Once the match starts, they care about three things: what changed, what their position is worth, and whether they can reduce it cleanly.

That transition is what turns a sports prediction into a trading product.

[James | OmenX @JamesOmenx]

Polymarket 刚开了一个新市场：哪家平台会最先让美国用户真正买到代币化股票？

候选包括 Kraken、Coinbase、Robinhood、Gemini，也可以押到 2027 年底仍没有平台上线。

这个市场最值得看的不是赔率，而是它怎样定义“上线”：

发公告不算；只对美国以外用户开放不算；候补名单、员工测试和邀请制不算；只追踪股价、没有真实股票支持的合成产品也不算。

至少要让一个美国州的普通账户，实际买到由上市股票或 ETF 1:1 支持、或者本身就是记录在链上的股份。通过自托管钱包或 DEX 完成的购买，也不计入这场“哪家平台率先上线”的竞争。

这恰好说明预测市场最容易被低估的产品工作：标题负责吸引人，判定规则决定用户到底买了什么。

如果交易前看不懂什么情况算赢，赔率再漂亮也没有意义。规则不是法务附件，而是最早的一层 UX。

https://t.co/UixmnbE9ce

[James | OmenX @JamesOmenx]

@chenmo 大众需求未必是“隐藏交易策略”，而是不想一次交互就把自己的整本账本暴露给别人。用同一个钱包收款、持币、交易的人，不一定会主动找隐私产品，但如果不多一步操作，可能就会用。

[James | OmenX @JamesOmenx]

@Autonomous_Chad @shayne_coplan In Chinese we call it white gloves 🤣

[James | OmenX @JamesOmenx]

@GeoffZochodne Phantom is the concrete precedent: Letter 26-09 explicitly includes event-contract orders. The wallet supplies the interface; users still trade with a regulated venue or intermediary. More front doors can serve the same market.

https://t.co/9omthGqCle

[James | OmenX @JamesOmenx]

@donofbase we all will be there😆

[James | OmenX @JamesOmenx]

Your next stock-trading app could be a crypto wallet.

On September 17, the SEC opened a new route for U.S. stocks to trade on blockchains, introducing a five-year “innovation exemption” for qualifying trading platforms and liquidity providers.

Here’s what that means.

An eligible share can be represented by a digital token. Trading happens through pools of assets supplied by liquidity providers, with software handling the trades.

Under this framework, the token must carry the same shareholder rights as the equivalent stock. If that share pays dividends or gives you a vote, its tokenized version must preserve those rights too.

There are conditions. Companies can object to third-party tokenization. Platforms must control who can trade. The number of stocks and trading volume are limited, and trading must pause when the underlying stock is halted.

For users, the potential is easier access to stocks through the apps and wallets they already use. How useful that becomes will depend on what gets built.

What interests me as a trading-product founder is the competition this could create between brokers, crypto exchanges and wallets.

A wallet that already holds your cash has a natural starting point. If it also makes buying shares straightforward, explains what you own and lets you sell at a fair price, it could become a serious alternative for everyday stock trading.

That’s a reason for people outside crypto to pay attention.

[James | OmenX @JamesOmenx]

@BenHorney @sportsrapport @FOS $15M buys attention. The harder number is week-two retention.

If new users place one headline trade and disappear, the campaign bought traffic, not liquidity.