me_cool_off
@me_cool_off • 3,037 subscribers
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A guy who made $78k on tennis in 3 weeks is putting $15k on Tommy Paul to beat Flavio Cobolli at Cincinnati Open today. His main position: $15k - Tommy Paul to beat Flavio Cobolli If Paul wins: payout: $25k profit: +$10k The bet makes sense after Paul beat Alexander Zverev, saving a match point to knock out the top seed. Cobolli also came back from a set down to beat Rafael Jodar. Paul also has extra motivation: two years ago, Cobolli knocked him out in Cincinnati after saving three match points. Now Paul can get revenge. He also made smaller bets on: $900 - Amanda Anisimova to beat Jessica Pegula $500 - Coco Gauff to beat Marta Kostyuk If all three hit, he'll make around +$11.5k net profit. His 3 biggest recent Cincinnati Open wins: +$18.4k - Boisson to beat Bencic +$17.4k - Anisimova to beat Noskova +$11.9k - Fils to beat de Minaur +$47.7k combined profit from these three bets. He previously lost $135k on World Cup bets, but tennis has cut his loss to -$43k. Can he erase his old World Cup losses with tennis bets before the Cincinnati Open ends?
me_cool_off29,304 次观看 • 14 天前
This bot made +$201,000 in just 1 month on 5-minute and 15-minute markets! But there’s one catch. It paid $109,000 in taker fees! Account: Final net profit: +$95,000. Strategy: arbitrage during high volatility. Example of one setup: > buys Up at 66¢ for $441 > buys Down at 19¢ for $110 Taker fees: $16. Total invested: $567. If Up wins: $667 − $567 = +$100 net profit. If Down wins: $579 − $567 = +$12 net profit. Profitable in both outcomes, even after fees. How it works: > buys the first outcome > waits for volatility expansion > quickly buys the second side with a market order > calculates fees in advance > uses Kelly Criterion for position sizing Taker rebates launched on Polymarket today. Starting tomorrow, this bot will make even more - recovering part of the fees and earning extra bonuses from higher rebate tiers. Smart bots adapt the fastest.
me_cool_off29,472 次观看 • 3 个月前
This bot made +$75,000 in one month with a 99.6% win rate on 5-minute markets! Account: 29,500 trades. 29,393 wins. 107 losses. Gains: +$163,000. Losses: -$88,000. The bot runs a near-expiry scalping strategy, buying 99¢ outcomes before resolution. Why it works: > most traders won't touch 99¢ outcomes - the upside looks too small > the bot cares about certainty-adjusted volume, not margins > human traders often exit early, leaving near-certain outcomes mispriced The bot applies the same approach on sports markets when one team has effectively already won. The edge is capturing these mispricings at scale. Just 107 (0.4%) losing trades erased over half of the gross profit. So this strategy is far from risk-free. Still, full automation and massive volume generate around +$2,500/day. Learn more about this strategy in the article. Save it.
me_cool_off24,282 次观看 • 2 个月前
+$28,000 in one month trading weather markets. His profile: Recent wins from June 30: $350 -> $5,889 (+16x) $52 -> $2,531 (+48x) $57 -> $1,771 (+31x) $15 -> $1,076 (+71x) Strategy: > buys YES at 1-10¢ when he sees strong mispricing > adds size in the 15-50¢ range when the model shows an edge > buys NO when market probabilities look overstated Trades all major cities: Shanghai, Beijing, Seoul, Singapore, and others. The goal isn't to predict the exact temperature. The goal is to find moments when market probabilities diverge from real weather data and forecasts. Just a 45% win rate. But occasional big winners more than offset the frequent small losses - asymmetry works in his favor. While others chase big gains in politics and crypto, he quietly and consistently extracts profits from weather markets.
me_cool_off11,844 次观看 • 2 个月前
This trader turned -$9,000 into +$87,000 in just 6 days on 5-minute markets! Account: April 29: -$9,000. May 4: +$87,000. Only 83 trades! 58 wins / 25 losses. That’s about +$16,000/day! Best trades: > $5,438 -> $17,113 > $14,029 -> $21,893 > $11,704 -> $18,678 He doesn’t buy low-probability outcomes or grind 1% at 99¢. Most trades are in the 55-69¢ range. Large single trades. Max 23 trades per day. 70% win rate. He doesn’t enter every market - only the ones he’s confident in. This trader reads the market extremely well. That’s his edge. This makes him an ideal account for copy trading. To copy trade him just use the TG bot:
me_cool_off18,082 次观看 • 4 个月前
This bot made +$42,000 in one day making $5 bets on 5-minute markets! Account: In a week, it has already made +$111,000. Biggest single win: $745. Three main strategies: > buys outcomes for $5 at 1¢ and sells for a profit before expiry > buys outcomes for $250 at 25¢ or 50¢ > buys outcomes for $500 at 50¢ It’s unlikely this is some super bot extracting edge from every trade. More likely something is broken on Polymarket - that’s why we’re seeing these unreal numbers. But for now, it remains the #2 account by weekly profit in crypto markets. If this account really extracted profit from almost every trade, it would be a real money printing machine.
me_cool_off17,482 次观看 • 4 个月前
Weather markets just came back and this trader already made +$3,300 in a single day! Account: Total PnL: +$14,900. Best trades today: $346 -> $2,496 $3 -> $229 $39 -> $228 He trading only Chinese cities. His edge comes from deep local knowledge: > reads CMA forecasts and satellite data faster than most traders > knows exactly which airport station (ZSPD, ZBAA, etc.) resolves each market > exploits strong mispricings caused by low participation from western traders Even after Polymarket heavily reduced the number of locations, but Chinese markets remained. This trader quickly got back and made +$3,300 on the first day after markets returned! If you want to copy his approach without diving into all the weather market details, simply set up copy trading on his account:
me_cool_off14,224 次观看 • 3 个月前
This bot made +$21,000 in 3 weeks trading on weather markets! Account: 7,424 trades. +$1,000/day. Strategy: arbitrage on the most probable outcomes. Example: market Highest temperature in Dallas on April 12: > buys 74°F or higher Yes at 64.6¢ for $2,187 > buys 72-73°F Yes at 21.4¢ for $738 > buys 70-71°F Yes at 9.4¢ for $282 The lower the probability, the smaller the position size. Result: the second bet 72-73°F Yes hits and returns +$2,715. Net profit: $2,715 - $2,187 - $282 = +$246 From one cycle! Risks: > if a very low-probability outcome hits (e.g., 1¢) that the bot didn’t bet on > if the bot overallocates to high-probability outcomes and underallocates to low-probability ones, and the low-probability outcome wins To reduce such mistakes, the bot uses the Kelly Criterion. Capital allocation per market is proportional to outcome probability and edge over the market. Simply: > higher probability -> larger bet > lower probability -> smaller bet The expected value (EV) of this strategy is positive. This does not guarantee profit in a single cycle - only over many repetitions. I described this logic in more detail in the article. Save it.
me_cool_off15,828 次观看 • 4 个月前
This trader turned $177 into $3,826 with a single weather bet! Account: +$9,000 in a month. +$300/day! Only a 26% win rate! Best trades: $177 -> $3,826 $260 -> $1,914 $107 -> $1,681 He buys undervalued outcomes priced at 1-30¢. How it works with a 26% win rate: > 74 trades: small -$5 losses each = -$370 > 26 trades: large +$50 wins each = +$1,300 > result: +$930 profit With this approach, win rate doesn’t matter. He doesn’t even need to track weather changes across different services. He simply goes against the crowd. When weather markets launch, most traders bet based on regular weather forecasts. This trader understands the market works differently and bets against the crowd. As a result he profits while the crowd loses. Use copy trading right now while he keeps printing: Bookmark it.
me_cool_off13,709 次观看 • 3 个月前
This trader turned $76 into +$4,304 with a single bet on the weather market! Account: His PnL in March: -$1,000. His PnL now: +$12,000. Best trades: $76 -> $4,304 $19 -> $1,370 $52 -> $1,016 Main strategy: buying low-probability outcomes. This approach can lead to 50 losses in a row, but weather markets are full of inefficiencies. That’s why he sticks to his strategy, and in the end it pays off. With this approach, win rate doesn’t matter. One successful 1¢ trade can generate huge profit even if the previous 49 trades were losses. Simple math. The lower the probability of the outcome, the smaller his position size. Perfect use of the Kelly Criterion allows him to avoid going negative from incorrect sizing. Result: +$10,000 in just one month! To profit from this strategy, just set up copy trading on his account:
me_cool_off12,213 次观看 • 4 个月前
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