今年下半年的交易技术/纪律都提高了一个数量级,认知在GPT引导下也完备非常多,
就想着只做合约,赚了的部分就转到现货,现货就理财,没想到量子时代到来前,AI给黑客一堆弹药,无力了,以后大部分资金估计都会转为现金了
#BTC 复盘 本轮大家期待的是站上82800,但周线图我们看到的是站上回踩失败,并且堵在8w附近,给了很多人小级别的错觉就是强支撑
但是周线3连跌就是一个完整的假突破形态,3日线多个双顶结构更清晰,接下来只剩下76000的弱支撑以及62000的强支撑了
这背后的资本是真的硬,虽然刚才把我的空单给暴了,但是后面流动性应该会更加强
trade[XYZ] launched its first market on Hyperliquid 381 days ago. Today, we are joining forces with ICE, parent company of the New York Stock Exchange, to bring perpetual futures on Hyperliquid to U.S. regulated markets.
I don’t usually write long posts, but today merits reflection.
For years, builders across this industry have worked to show that open, onchain markets could support price discovery, manage risk, and withstand stress to the standards of traditional market infrastructure, all while staying open when and where those markets aren’t.
Our achievements stand on the shoulders of those builders. And today, the company that owns the New York Stock Exchange has chosen to build upon the work of every developer, trader, market maker, and user who took a chance on us and our markets. We share this moment with all of you.
Markets are shaped by their participants. A new generation of investors trades from their phones, across asset classes, at any hour of any day. Until Hyperliquid, the right infrastructure for those markets didn’t exist.
Building these markets was hard. It took novel approaches to pricing, funding, and risk, refined with real capital at stake, in markets that don’t close. It also meant earning the trust of the people trading on them. We’re honored that the community recognized that effort and responded in kind.
That trust is what allowed us to grow our volumes to a ~$1 trillion annualized run rate in just over a year, to help pioneer new instruments like pre-IPO perps, and to earn the confidence of storied institutions like S&P Dow Jones Indices. That’s why ICE has chosen trade[XYZ] as its exclusive partner to bring 24/7 perps to the U.S.
Shifts in technology have pushed markets toward greater transparency, better price discovery, and broader access: from the coffee house to the curb exchange, ticker tape to the telephone, the trading floor to digital exchanges.
ICE helped write that last chapter. In 1997, Jeff Sprecher bought a small power-trading technology business for $1. ICE launched as an electronic energy marketplace in 2000, helped digitize major commodity markets, and acquired the NYSE in 2013. It has grown exponentially because of this appetite for innovation. That’s the partner we wanted: a partner that looks forward and embraces progress.
Americans deserve access to the most innovative markets in the world, and the protections of U.S. regulation. With trade[XYZ] and ICE, subject to regulatory approvals, they’ll have both.
The difference isn’t just access. Perps don’t expire, so traders never have to roll positions, and liquidity concentrates in a single deep market for each asset. Cross-margining enhances capital efficiency by letting one pool of collateral back positions across stocks, commodities, and crypto. Underpinning it all are atomic clearing and settlement, real-time risk management that enables continuous markets, and universally applied rules that anyone can verify. This is the next chapter we’ll write together.
My responsibility, our responsibility, is to now build markets worthy of the confidence our partners and our users have placed in us. Our commitments will not waver: to fair and transparent markets, to diverse markets, to low costs of execution, and above all, to market integrity.
All of this in pursuit of one thing:
A universal exchange, open around the clock, coming to the United States.
We’re proud to have deployed more than 100 markets on trade[XYZ]. But measured against the opportunity ahead, we’ve barely started. There is an enormous universe of assets we haven’t reached, alongside things people want to trade that have no established market at all. Wherever there is demand to trade an asset, we want trade[XYZ] to be where its price is discovered.
Global stocks, commodities, bonds, pre-IPO companies, compute, new indices, digital assets, interest rates, equity baskets, volatility products, alt assets… Anything. Anytime. Anywhere.
Ultimately, everything you own should work with everything you trade. Picture a headline breaking on Saturday night. You should be able to post tokenized shares as collateral, hedge your portfolio with an index perp, add exposure to oil, and take a view on a company that has not yet gone public. All in one account, all on one risk engine, before any traditional market opens. trade[XYZ] and Hyperliquid were built for this.
I hope someone opens their first investment account years from now to find that trivial, and to wonder why their predecessors needed so many separate financial relationships. Getting there will take liquidity, reliability, trust, and prices people have reason to believe. It will take years. I’m prepared to spend them.
Finally, a few thank yous.
First to the XYZ team: For the tireless nights and for committing to this vision before it was obvious.
To Jeff Sprecher and ICE, with special thanks to Michael Blaugrund and Trabue Bland who championed us throughout: You’re a world-class, technology-embracing team that proves innovation and scale are in fact not at odds.
To Stan Druckenmiller: For your partnership and helping us turn the next page.
To Hyperliquid Labs: For being the best partners we could ask for. You set an impossible standard, one we continually strive to meet. @chameleon_jeff, @iliensinc, @xulian_hl
And most importantly, to our users: You traded these markets when no one thought it mattered.
Guess what? It did.
Trader Maxey retweeted
同样是4H的H2,上一笔赚了,下一笔却被扫损:你可能没数错K线,只是站错了位置。#价格行为学
日线上升趋势里,4H回踩关键支撑形成H2,买盘可能借第二次上攻重新掌握主动。
但换成日线区间中部,同样的H2也可能只是多空拉锯中的一次假启动。
前者要看第一次上攻失败后,空头下压是否减弱、第二次信号K是否收在高位,随后突破高点并获得跟随;后者若K线高度重叠、突破立刻回落,就不值得硬做。H2数的是两次向上尝试,不要求画出两个完整低点。
最重要的是H2只是一个进场触发,背景、位置和盈亏比才是过滤器。
#价格行为学 #PriceAction #Trading #AlBrooks #H2 #技术分析 #趋势交易 #风险管理
同样是4H的H2,上一笔赚了,下一笔却被扫损:你可能没数错K线,只是站错了位置。#价格行为学
日线上升趋势里,4H回踩关键支撑形成H2,买盘可能借第二次上攻重新掌握主动。
但换成日线区间中部,同样的H2也可能只是多空拉锯中的一次假启动。
前者要看第一次上攻失败后,空头下压是否减弱、第二次信号K是否收在高位,随后突破高点并获得跟随;后者若K线高度重叠、突破立刻回落,就不值得硬做。H2数的是两次向上尝试,不要求画出两个完整低点。
最重要的是H2只是一个进场触发,背景、位置和盈亏比才是过滤器。
#价格行为学 #PriceAction #Trading #AlBrooks #H2 #技术分析 #趋势交易 #风险管理
hyperliquid:native 狠狠的空下去,这结构很明显了吧,不空对不住你学的 #trading #PriceAction
Trader Maxey retweeted
你看对了方向,却可能输在止损太远。#价格行为学 一根漂亮的4H大阳线,为什么反而可能不是好买点?
日线处于上升通道下沿,4H回调后出现强阳信号K,收在高位、吞没前一根阴线,看起来足够强。但如果实体过大,突破信号K高点才买,止损放在结构低点下方,距离可能很远;而上方日线阻力近在眼前,盈亏比未必合格。
更稳妥的做法不是无条件追价:先等信号K收盘,再计算入场、结构止损与目标空间。若下一根4H回落到信号K内部,观察小级别是否止跌并重新转强;没有确认就不接,跌破关键低点则放弃。回落不等于机会,必须观察卖压是否减弱。若价格直接起飞,也接受错过。
信号K越强,不代表任何价格都值得买。好位置、好信号和好盈亏比,缺一不可。
#价格行为学 #PriceAction #Trading #AlBrooks #K线分析 #盈亏比 #趋势交易 #风险管理
你看对了方向,却可能输在止损太远。#价格行为学 一根漂亮的4H大阳线,为什么反而可能不是好买点?
日线处于上升通道下沿,4H回调后出现强阳信号K,收在高位、吞没前一根阴线,看起来足够强。但如果实体过大,突破信号K高点才买,止损放在结构低点下方,距离可能很远;而上方日线阻力近在眼前,盈亏比未必合格。
更稳妥的做法不是无条件追价:先等信号K收盘,再计算入场、结构止损与目标空间。若下一根4H回落到信号K内部,观察小级别是否止跌并重新转强;没有确认就不接,跌破关键低点则放弃。回落不等于机会,必须观察卖压是否减弱。若价格直接起飞,也接受错过。
信号K越强,不代表任何价格都值得买。好位置、好信号和好盈亏比,缺一不可。
#价格行为学 #PriceAction #Trading #AlBrooks #K线分析 #盈亏比 #趋势交易 #风险管理












