YT

@dabula321783841 哥 牛逼 follow了昂

一个人真正的事业起步/原始积累一般是用草台班子在无人问津的小领域做到第 1-3 名，而不是在竞争激烈的精英领域做到前 1%。反过来说，一旦你摒弃草莽进入精英叙事逻辑里，就很难出类拔萃。

@HedgieMarkets which retail brokerages offers portfolio margin and let people take out collateral?

🦔Affluent investors are using "box spread" loans to borrow against their portfolios at rates near Treasury yields without selling assets or going through banks. Tony Yang borrowed $650,000 at 1.6% for five years in 2021 to fund a Bay Area home down payment, well below his mortgage rate. SyntheticFi, the fintech he co-founded, has seen box spread loans surge over 10-fold this year. How It Works A box spread uses options to create a loan. You combine two opposing options positions to receive cash upfront and agree to pay a set amount at maturity. The gap between what you receive now and repay later determines your interest rate, currently about 5 to 20 basis points above Treasury yields. For a one-year $100,000 loan, box spreads cost 4.03% versus 8.55% for traditional pledged asset lines. There's no credit check, you just convert your investment holdings into cash while staying invested in the market. The Risk If stocks fall, your collateral value drops, triggering margin calls. If you can't post more collateral, your portfolio gets liquidated. The frictionless money becomes forced selling. One fund manager notes these strategies get popular during bull runs, but if there's a sharp decline, they become sources of forced deleveraging. My Take As I see it, this is leveraged investing repackaged as personal finance innovation. Box spreads let you borrow at 4% against your portfolio rather than sell, keeping full market exposure while extracting cash. This works brilliantly in bull markets but creates forced selling during downturns when margin calls hit. When box spread loans surge 10-fold while markets are at records, that's people leveraging into stretched valuations. I remember 2021 when Yang made this trade at 1.6% rates with the S&P near 4,000. Now the S&P is at 6,800 and people are doing the same thing at 4%. This democratizes institutional leverage for affluent investors, which means democratizing the liquidation risk when markets correct. It's another data point showing speculation building through financial engineering. Hedgie🤗

@0xwooglin @CL207 10k trips of 1kilo bars?

@CL207 When I was at Jump, one team held their gold futures until expiry and had to take physical delivery of 10 tons of gold to their office The cofounder Bill shut down their desk until they physically carried every bar to sell at a pawn shop, took a whole week, true story

anyone that actually trades gold wana give a pov what the trading has been like / felt like ? lmeow

@weHRTyou @dwarkesh_sp wow this was my TA at Berkeley

We invited @dwarkesh_sp to tackle a foundational question in quant trading: What does it take to build a predictive signal from market data? We loved showing him what makes work at HRT so fun — and why, in Marc’s words, “it occupies a lot of very smart people for years.”

@drproshkina @ACCinTouch @AlTurkMD @siusom_IM @SIUcardsfellows Congrats! Onwards and upwards

Thrilled to have presented three case reports at #ACC25 and learn more about the latest in cardiology @ACCinTouch @AlTurkMD @siusom_IM @SIUcardsfellows

@coffeetrader11 context?

Foolish liquidity providers underpricing International Women’s Month

@litcapital Bruh

I don’t think Equinox thought this ad through

@AgustinLebron3 lol datetime library is a pos

Fuck you Python. import pytz import datetime as dt tzinfo=pytz.timezone('US/Eastern') dt = dt.datetime.combine(dt.datetime.strptime('2024-04-01', '%Y-%m-%d'), dt.time(9, 30), tzinfo=tzinfo) print(dt) Wait for it... 2024-04-01 09:30:00-04:56

@quantymacro @__paleologo twilight fifty shades of grey

@__paleologo Harry Potter and the Prisoner of Azkaban Percy Jackson and the Last Olympian Advances in Financial Machine Learning

I am calling again for good books/sources that retail traders have used *for trading*. OK, "Unknown Market Wizards". Those are one-sided narratives. Elite Trader community? r/daytrading? It seems all so shallow. What are the top 5 books/web sites?

@therobotjames better luck gambling

if your instinct, when you look at these charts, is to try to short this stuff, then you might want to consider a new hobby.

@volatilitynoob word

@DBecevic crucial! If you can’t ride you’re perfect safe ain’t you

@DBecevic can you even ride that shit in USA

@hongkongdoll 晚饭券

突然想到一个好玩的 这是一张晚饭券的抽奖会 到期日由BTC价格决定 BTC 到达 $99999 的时候可以跟玩偶姐姐行权使用晚饭召唤术或者转让给其他有需要的人 只需要评论区 输入“晚饭券”参与抽奖

@LinChen91162689 @DeribitExchange 肯定不是正态分布啊lin姐

#BTC DVOL 波动率指数@DeribitExchange 创最近12个月新高，冲破81.44%，这个数据说明BTC年底价格（按正态分布）大概率在42500-16万之间😂

@CryptoDeFiGuy baller

@LinChen91162689 cash or physical delivery?

#BTC 的12月的期货升水/溢价再次冲到了12.6%（=无风险的套利年化收益），期货价格达到57717.5。现货ETF通过前，最高冲到15%。

@DrcDAO 张老师确实空前绝后

整整一年半了，刚重温了一下张津瑜老师的作品。 发现张老师在这一年半中依然占据着我心目中国产排行榜的TOP1，至今无人超越。 国产区真的没落了，再没有更优秀的作品出现，真是非常可惜

@LinChen91162689 这个怎么操作啊请问 卖期货买啥 有没有规避交易所风险的的操作方法呢

#BTC 的年底的期货升水（溢价) 是9.2%，也就是当下币圈无风险的基差套利年化10%。