Chase

522 posts

Chase banner
Chase

Chase

@0xChaseTM

pushin P (@Polymarket) | @zscdao member | dm open

Cyprus Beigetreten Kasım 2024
75 Folgt408 Follower
Parletto
Parletto@parlettodotbet·
@0xChaseTM what's his winrate though he looks promising
English
1
0
1
11
Chase
Chase@0xChaseTM·
This Polymarket trader made $134K because of one mistake the crowd keeps repeating 100 years of academic research proved this bias exists everywhere people bet. Polymarket runs on it daily Bookmark this - once you see the bias, you can't unsee it Here's how it works: It's called the Favourite-Longshot Bias The crowd treats price as probability 8¢ = 8%. 92¢ = 92% Across every betting market ever studied, that's wrong The formula: True Edge = Market Implied Probability − Realized Frequency 5¢ contracts resolve YES only 2–3% of the time → 2–3% real edge 95¢ contracts resolve YES 97–98% of the time → 2–3% real edge The crowd never closes the gap Why the bias exists: The brain loves asymmetric payoffs "$5 → maybe $100" feels like a deal "$95 → maybe $100" feels boring Casinos run on this. Sportsbooks run on this. Polymarket inherited it The strategy: Sell the dream. Fade overpriced longshots. Buy underpriced favorites Repeat thousands of times. Let the edge compound Real examples: → Iran Strike on Israel by Feb 28 → No at 15.3¢ → Lady Gaga at Super Bowl LX → No at 13.2¢ → Hantavirus pandemic in 2026 → No at 91.1¢ → $54K position Every trade collects premium from the crowd chasing lottery tickets that almost never hit The key insight: He's not predicting events He's collecting tax on hope The math has been public for 100 years The discipline to fade lottery tickets - that's the rare part Watch the breakdown below ↓
Chase tweet media
Chase@0xChaseTM

x.com/i/article/2053…

English
5
1
17
546
Chase
Chase@0xChaseTM·
@auTechArena Look for markets where the longshot side (5–20 c) trades on emotional narratives - war, celebrity, disaster Low liquidity + dramatic story = retail pays the most
English
0
0
0
13
techarena.au
techarena.au@auTechArena·
@0xChaseTM Nice one, absolutely eye-opening, saved for later. Any quick tips for spotting this early in smaller markets?
English
1
0
2
12
Chase
Chase@0xChaseTM·
@Dipper_pol Actually, it is very interesting Dm me when you've read it
English
0
0
1
26
Chase
Chase@0xChaseTM·
@51bodila It's not just about formulas - it's about cognitive biases Check it out, you'll like it
English
0
0
1
23
bodila
bodila@51bodila·
@0xChaseTM another banger article about formula ???
English
1
0
1
32
Chase
Chase@0xChaseTM·
@0xRicker Appreciate it! Got some interesting info for y'all!
English
0
0
1
22
0xRicker
0xRicker@0xRicker·
@0xChaseTM damn, looks like alpha, i gona read it tonight
English
1
0
1
37
Chase
Chase@0xChaseTM·
@Kaffchad yeah systematic + patient = compounding
English
0
0
0
4
Kaff 📊
Kaff 📊@Kaffchad·
@0xChaseTM Greenblatt's formula is a testament to the power of systematic investing, delivering remarkable returns with simplicity.
English
1
0
1
18
Chase
Chase@0xChaseTM·
This lecture is the simplest systematic edge ever published - and the same framework runs on Polymarket today Greenblatt's formula turned $10K into $1M while the S&P barely cleared $73K over 16 years Bookmark this - the math is so simple it almost feels illegal Here's the formula: Combined Rank = Rank(ROC) + Rank(Earnings Yield) ROC = how good the business is Earnings Yield = how cheap the stock is Rank ~500 companies on both. Sum the ranks. Take the top 30. Hold 12 months The results: 30.8% annual returns. 16 years $10K → $1M S&P same period: $10K → $73K Worst year: -4%. Best year: +79.9% When S&P lost 43% over 3 years → formula returned +73.5% Why almost nobody runs it: 5 months a year it underperforms. sometimes whole years Fund managers can't survive that - clients pull capital quarterly The edge belongs to retail with long horizon and discipline The Polymarket parallel: Greenblatt: rank stocks on ROC + Earnings Yield → take top 30 Polymarket quants: rank buckets on ECMWF + GFS divergence → enter biggest gaps Same brain. Different table → rank systematically. no opinions → never override the model → accept some periods underperform → let small consistent edges compound The key insight: Greenblatt didn't beat the market with intelligence He beat it with a 2-metric formula and the discipline to follow it Polymarket isn't different The math is public. The discipline is rare Watch the lecture below ↓
Chase@0xChaseTM

This Polymarket trader has 2,668 trades, 99% win rate, and skipped every loud market on the platform It sounds impossible until you see how simple the math behind it is ECMWF and GFS forecasts vs a casual order book - the gap is wide and compounds daily Here's the system: He doesn't predict weather He prices against it. ECMWF and GFS already know the answer - he just acts on it. The niche: Toronto. Taipei. Tokyo. Manila. Karachi. Singapore. Jeddah. Lagos. Paris. Munich. NYC. Chicago. Denver. Daily temperature binaries. Nothing else Three entry patterns: → Buy No at 85¢–99¢ on exact-degree questions "will Madrid hit exactly 16°C" - hitting one specific degree is rare. No wins almost every time Example: Taipei 29°C No at 85.3¢ → +$438 → Buy Yes at 95–98¢ on threshold questions when models are confident "will Karachi hit ≥41°C" - when forecast clears it cleanly Example: Karachi ≥41°C at 98¢ → $7,230 ticket → +$137 → Buy 3¢ lottery tail bets on rare-but-possible outcomes Example: Paris 22°C → $9 invested → $260 payout → +2,766% The math: Ticket sizes: $1K–$7K Profit per trade: 2–15% Hold time: 1–3 days Cities traded daily: 20+ Active position value right now: $108 Same capital recycled across dozens of cities every single day Why it works: ECMWF and GFS produce sharper probabilities than the Polymarket order book at 24–72h horizons. The book is full of casual users He's pricing against actual physics The risk profile: Each trade has convex downside - lose 100% if wrong Diversified across 20+ uncorrelated geographies A freak weather day in one city barely dents the book The lottery tail bets are the asymmetric upside layer The key insight: The loud markets are where attention lives The quiet ones are where the math wins He's not smarter than the market He's just running a public model against a casual order book The atmosphere is the only thing that can beat him And it almost never does

English
5
0
27
753
Chase
Chase@0xChaseTM·
@de1lymoon From TV Forecast to professional trading, he knows this niche so well
English
1
0
1
186
Alex
Alex@de1lymoon·
A former TV weatherman quit his job and turned $505 into $10,100 on a Karachi temperature bet. $125,696 P&L. 2,592 predictions. Same edge. Same 1,900% JoeTheMeteorologist used to read forecasts on television. Now he reads them on Polymarket How it works: you can do all of this on → predictparity.com/?code=moon He doesn't need a model. He has a degree in meteorology and 15 years of reading weather charts When the market prices a bucket at 5¢, his trained eye sees ~14% probability. That gap is the trade Every winning entry: 5¢. Every winning ROI: 1,900%. The math is identical because the edge is identical His winning trades all sit in the same pattern: $1,944 → $38,892 (Paris 19°C YES at 5¢, +1,900%) $650 → $13,002 (Ankara 14°C YES at 5¢, +1,900%) $505 → $10,100 (Karachi 34°C YES at 5¢, +1,900%) A weatherman with no bot. No code. No quant degree. Just the same skill he used on TV applied to a market that pays him for being right The job was reading the sky. The market never changed
Alex tweet media
English
11
2
55
20.9K
cvxv666
cvxv666@antpalkin·
@0xChaseTM I watched the entire video - it's very informative, thank you
English
1
0
1
15
Leshuk
Leshuk@leshuuuk·
Polymarket user made $16.7K on weather markets in just 45 days This dude is printing money by betting on weather all over the world every single day: +$244 - today +$6.9K - past week +$15.2K - past month He’s flipping pocket change into massive gains: $16.64 -> $4082 $28.57 -> $2346 $42.52 -> $1059 Specific ranges don't matter to him, he trades across all odds Position size is almost always under $100 With a 64.5% win rate over 6548 predictions, he’s a rising star in weather markets
Leshuk tweet media
English
22
3
68
2.5K
Chase
Chase@0xChaseTM·
@Damir_Akaza Of course, broski Morning coffee and this video will help you start the week off right!
English
0
0
1
11
damir akaza
damir akaza@Damir_Akaza·
@0xChaseTM These smart complicated things definitely shouldn’t be read on the last day of the weekend... I’ll save it for tomorrow)
English
1
0
1
21
PavelRaw
PavelRaw@PavelRaw·
BRYAN JOHNSON ANALYZED HIS GIRLFRIEND'S VAGINA. NOW HE'S ANALYZING HIS BALLS. This man operates on a different level entirely. April 30, two minutes after giving his girlfriend oral sex, he posted her vaginal microbiome report to his million followers. → 100/100 score, top 1% of all vaginas → 98.7% dominated by Lactobacillus crispatus - the most protective species a vagina can host → no STIs, no bad bacteria, the lab found absolutely nothing wrong → post gets 21 million views Internet reacts: "dude charts his girlfriend's p**sy instead of the stock market" Then last week he drops the balls update. 100% of men have microplastics in their semen right now. Every single one. Bryan had 165 particles/mL in November 2024. 18 months of daily saunas, reverse osmosis water, and removing every plastic item from his life later. → November 2024: 165 particles/mL → July 2025: 20 particles/mL → April 2026: 0 particles/mL Potentially the first human being alive to achieve this. Zero microplastics in his balls. Top 1% vagina in his bed. Posting about both at midnight. The rest of us are just trying to drink enough water.
New York Post@nypost

Bryan Johnson boasts about health achievement for his balls: 'This should not be possible' trib.al/GoZQLuj

English
1
0
2
654
Chase
Chase@0xChaseTM·
@HuySolo_BBW Nowadays, it’s very important to understand that
English
0
0
0
6
Huysolo
Huysolo@HuySolo_BBW·
@0xChaseTM The idea of markets as ecosystems is truly thought-provoking.
English
1
0
1
12
Chase
Chase@0xChaseTM·
This Oxford lecture explains why every quant fund beats Polymarket retail traders The framework Citadel, Jane Street and Renaissance use - explained by the MIT professor who built it Bookmark this - 60 min that change how you think about markets forever Here's the principle: Andrew Lo didn't accept the Efficient Markets Hypothesis He replaced it with something that actually describes how markets behave Markets aren't physics. They're biology. Not equations. Ecosystems The shift: → Classical economics: rational agent, equilibrium, optimization → Reality: 1998 LTCM. 2007 quant crisis. 2008 crash. → Behavioral economics added bias names. Lo built a unified theory The central insight: Market participants behave the way they do because of evolution Optimized for survival in the savanna - not for trading on Polymarket "Irrationality" is often rational in evolutionary terms - wrong context The probability matching example: Coin shows heads 75% of the time. Rational play: bet heads every time. What humans actually do: bet 75/25 split. Looks irrational. Costs expected value. But bees do it. Pigeons do it. Fish do it. Too consistent across species to be a bug Lo's evolutionary model: When outcomes are independent across individuals → maximize expected value When outcomes are correlated → randomize. probability match. survive What looks like a bug is group insurance against systemic shocks "Irrational" individually = optimal at the species level Why this matters for Polymarket: → retail crowds react to headlines - that's the savanna brain firing → quant funds price the ecosystem - not the rational agent → "irrational" prices aren't noise - they're the species protecting itself → the edge: read the ecosystem, not the equation The hedge fund parallel: Lo calls hedge funds "the canary in the coal mine" They adapt fastest. They signal systemic risk first Same logic on Polymarket - quants adapt to mispricing before retail catches up The key insight: Retail trades the chart Quants trade the ecosystem One keeps winning. One keeps losing Watch the lecture below ↓
zostaff@zostaff

x.com/i/article/2050…

English
2
3
40
1K
ih8y
ih8y@DmitriyUngarov·
@0xChaseTM Definitely worth attention
English
1
0
1
20
ih8y
ih8y@DmitriyUngarov·
Prague 🇨🇿 hitting different today 🖤 Managed to swing by @EthPrague and finally link up with my guy @XJustmichael in person - energy was immaculate! Massive shoutout to him and the whole @Trezor team for the fire gift 🎁 Moments and real connections like this are the real alpha in this space ♥️
ih8y tweet mediaih8y tweet mediaih8y tweet mediaih8y tweet media
English
104
4
216
5.6K
Chase
Chase@0xChaseTM·
@me_cool_off According to the world situation, we should keep an eye on him
GIF
English
1
0
2
28
me_cool_off
me_cool_off@me_cool_off·
This trader made +$566,000 in just one day on a Russia-Ukraine ceasefire! Account: @wan123?tab=positions?via=me_cool_off" target="_blank" rel="nofollow noopener">polymarket.com/@wan123?tab=po… Total PnL: +$1,056,000. Only 277 trades! After Trump announced a 3-day ceasefire, he bought YES on two dates: > May 31 for $38,000 at 11.3¢ > June 30 for $25,000 at 8.7¢ As a result, he turned $63,000 into +$630,000 in just one day! Net profit: +$566,000! This trader clearly understands geopolitics - he previously made his fortune on the Iran-US conflict. To copy the trades of this geopolitical guru use the TG bot: @mecooloff" target="_blank" rel="nofollow noopener">kreo.app/@mecooloff
English
9
0
48
1.6K