Qwerty
62 posts



AJ Dybantsa had formal visits with the following teams ahead of next week's NBA Draft: 🔸Wizards 🔹Jazz However, Darryn Peterson only met with Washington and will not grant any other team a meeting. (via @espn)



Fresh intel on @ClutchPoints regarding the coaching carousel around the NBA. Updates on the Bulls, Magic, Mavs, Blazers, and some front-office talk with Cavs' Mike Gansey emerging as the favorite for the 76ers. Plus, other intel on Warriors, Hawks: clutchpoints.com/nba/nba-storie…






Minnesota's Anthony Edwards was a significant participant in Timberwolves shootaround this morning and wants to return in Game 1 against the San Antonio Spurs, sources tell ESPN. Edwards is pushing to play, but he and the team's medical staff will make a decision later today.

Jane Street made ~$40B in 2025 with 3,500 employees, a ~2x from the year before. At ~65-70% profit margin, that's $8M profit / employee, the highest for a 1000+ ppl company. High-frequency trading continues to be the most efficient money making engine. I want to share an old story about my Jane Street interview in 2014. Jane Street was known for hiring a lot of math, physics and CS olympiad winners from top universities and putting them through many rounds - including, for trading roles, a gauntlet of mental math. It was my 6th interview and my final round and I recall being asked "What is the next day after today in DD/MM/YYYY where all the digits are unique?" They'd toy with you and say "You can use a pencil and paper, if you want" but you knew that was an instant no. Painstakingly and as quickly as I could, I came to an answer. "How confident are you that this is correct on a 0-1 probability scale?" the interviewer said. "0.95", I blurted out, not fully knowing how to answer that. "Are you sure?" After thinking harder for a few more seconds, I realized I could've flipped the digits around to get a closer date. I gave the interviewer my answer. It was correct. "0.95 huh?" he chuckled. That's when I knew I failed. Note: fwiw, other companies that come close in efficiency are - Tether ($90M+ profit/emp) - Hyperliquid ($80M+ profit/emp) and on revenue: - Valve ($50M/emp) - OnlyFans ($37M/emp) - Craigslist ($14M/emp) - Anthropic ($12M/emp, run rate) - OpenAI ($8M/emp, run rate) For comparison, Nvidia is very efficient at scale and is $4.4M/emp.


Best Quant sport bot for copy-trading on Polymarket with $7,4M PnL turned a $1,186 deposit into $7.4M across 55,000 predictions in less than a year. while 90% are gambling on sports, he’s using math and market microstructure to consistently win 4 rules of his algo, decoded: 1) the anomaly: "Buy-Only" Engine The bot never sells. Sell_Count = 0. It buys the opposite outcome - a "Synthetic Sell" that dodges taker fees. formula: Delta = Qty(YES) - Qty(NO) / Global Delta ≈ 0 // 2) the setup: The "Dutching" Trap "Team A: NO" = "Draw" + "Team B Win." when prices diverge - buy the cheap side. • formula: Price(Home_No) < Price(Draw_Yes) + Price(Away_Yes) → 0.21 < 0.28 // 33% discount // 3) "volume Farm": Incentives > Friction Bot buys guaranteed losers at $0.01. $10 at $0.01 = $1,000 notional volume. Platform rebate > loss. • formula: Profit = Incentives - (Spread + Fees + Slippage) // 4) cross-market "Triangular" hedging o2.5 can't hit without o1.5. Retail panic breaks the ladder > buy the cheap rung. Too long on "Win"? Don't sell - buy "+1.5" in Spread, flatten delta, zero loss. • formula: Price(o1.5) > Price(o2.5) - always // violation = free edge bot profile: @rn1?via=following" target="_blank" rel="nofollow noopener">polymarket.com/@rn1?via=follo…
start copy-trading with as little as $10 using Ares: ares.pro/wallets/0x2005… Learn from top sports algo bots - stop gambling, start winning with math.
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