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Asseph
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Asseph
@0xAsseph
Software Engineer (Go, Rust, Python, Java, React) @solana @ethereum @cosmos
127.0.0.1 Katılım Haziran 2023
334 Takip Edilen534 Takipçiler
Asseph retweetledi
Markov Chains have been in academic literature since the 1950s
Nobody brought them to prediction markets.
Until now
> the model doesn't predict where price is going.
> it measures which state the market is in and what comes next
Δ = p̂ − q ≥ ε → ENTER POSITION
p(j*, j*) ≥ 0.87 → STATE IS STABLE
Both conditions simultaneously. One function.
"Bonereaper" launched this in march 2026
14,339 predictions later $454,834 profit
His profile: @bonereaper?r=sopersone" target="_blank" rel="nofollow noopener">polymarket.com/@bonereaper?r=…
Pure math + Polymarket = V_T = V₀ · e^(N·r̄)
N grows every minute. The formula does the rest
0xRicker@0xRicker
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Asseph retweetledi
Asseph retweetledi
If you're not bullish enough...
Wall street is being rebuilt on Solana
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Asseph retweetledi
Asseph retweetledi
Two years ago, I wanted to move USDC from other blockchains to Solana
First, I had to find a bridge, pay ridiculous fees, and wait forever
Today, I open @jup_mobile , pick the chain, and send that’s it
Most of you probably don’t even know this yet, but multi-chain deposits are now live on l Jupiter Mobile across Base, Arbitrum, and Sui
The home of onchain finance is slowly becoming a reality
Everything is in one place 😮💨
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Asseph retweetledi
This guy turned $8.5 into $9,928 — a 1,169x return.
Absolute legend! 🤯
Trader 7Be6hv spent 0.1 $SOL($8.5) to buy 6,636 $BELIEF and staked it, earning 25.06 $SOL($2,160) and 2.9M $BELIEF($7,768 now) in staking rewards.
So by buying and staking $BELIEF, he turned $8.5 into $9,928.
#transfers" target="_blank" rel="nofollow noopener">solscan.io/account/7Be6hv…
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Asseph retweetledi
Asseph retweetledi
The Solana stablecoin landscape has grown tremendously over the years
2024: $1.883B
2025: $5.475B
2026: $14.607B
That’s +190% YoY from 2024 → 2025, and another ~167% YoY into 2026.
We now have way more capital sitting onchain, a wave of new stablecoins entering the ecosystem, and a lot more ways to actually use them.
Solana is becoming the hub for stablecoins
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Asseph retweetledi
Asseph retweetledi
🚨 BEST ESPORTS WALLET FOR COPY TRADING
He already printed $5.7k for me PASSIVELY
The best part? No one is watching him yet.
He was completely under the radar before this post.
Here's why this trader is worth following:
(and how to do it right)
> perfect risk management
He usually buys his shares at a certain price, then sells it in parts while the price goes up.
He's trading price swings without waiting for the resolution.
> impressive win rate
82.4% clean.
This means he's closing over 8/10 trades at a profit.
> good frequency of trades
He's not a bot spamming 10 small trades per minute.
Just normal human execution.
His wallet: 0xf03044eb7a85a04e826adc893ded416e116812e2
Use this bot to snipe him first: [t.me/PolyGunSniperB…]
It executes every trade in the same block.
Full guide attached in the quoted post.
Dexter's Lab@DextersSolab
POLYMARKET COPY TRADING VIDEO GUIDE (+ wallets i personally follow) You have no idea how many different bots I tested before I found this one: > fast transactions (<1s) > small commissions > official Polymarket builder > for both trading & copy trading But how to use it right? 1. Start this TG bot: [t.me/PolyGunSniperB…] 2. Top up the generated wallet address 3. Click on Copy Trading 4. Click the Add Copy Trade button 5. Paste wallet address you wanna follow 6. Enter the name (I use smth like "weather guy" / "90% WR guy" etc.) Now comes the most important part. There are 3 mirroring options: > Fixed (If you enter $10, then every trade is $10) > Percentage (If you enter 50% and trader bets $100, your trade is $50) > Portfolio-weighted (If trader uses 10% of his portfolio on a trade, you'll also use 10% of your portfolio) What to choose here? I recommend this setup: > If the trader is using market orders and has < 10 trades per day, use fixed amount. > If the trader is using limit orders and has > 10 trades per day, use portfolio-weighted option. I don't use the second one at all. 7. Enter the max copy amount (based on your risk management and portfolio size) 8. Set a price range This filter has to be based on exact trader. If you want to avoid risky trades, choose 30c-90c. 9. Set slippage (I use 5%) 10. Click Confirm button Now the bot will mirror every trade for you. Don't forget to check trader's performance daily. Anyone can have a losing streak so that's on you to delete such traders on time. For more detailed guides on how to find decent wallets, check my page. I post nice wallets daily. And here are some wallets i track: > 0x9b979a065641e8cfde3022a30ed2d9415cf55e12 $296k PnL, 96% Win Rate (bonding), but too many trades > 0x8278252ebbf354eca8ce316e680a0eaf02859464 $23k PnL, 73% Win Rate, good positioning > 0x12d6cccfc7470a3f4bafc53599a4779cbf2cf2a8 $213k PnL, 84% Win Rate, but huge amount of trades with limit orders > 0xd8f8c13644ea84d62e1ec88c5d1215e436eb0f11 $64k PnL, 34% Win Rate (longshots weather trader) I am using @polygun_ and recommend it to you guys. This bot will helps me every day, ngl. Good luck and always DYOR!
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Asseph retweetledi
Asseph retweetledi
A Russian mathematician died in 1922.
His math just made 3 anonymous bots $1,331,821 in 30 days on Polymarket.
Andrey Markov never saw a prediction market.
He built the exact tool to destroy them.
Here's the cheat code ->
The model doesn't predict. It measures.
Two conditions. Both must fire simultaneously:
Δ = p̂ − q ≥ 0.05 -> gap exists p(j*, j*) ≥ 0.87 -> state is stable
If both are true -> position entered.
One function. Runs every minute. 24/7.
Three bots. Three styles. One principle:
@bonereaper?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@bonereaper?vi… - 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 ->
1,500-2,900 shares, BTC/ETH 1h windows -> 14,339 trades -> $454,834.
@0xe1d6b51521bd4365769199f392f9818661bd907?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@0xe1d6b51521b… - 0xe1d6b51521bd4365769199f392f9818661bd907c -> dual-mode EV, best single trade +54.6% -> $432,591.
@0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82-1772569391020?via=svyatoslav" target="_blank" rel="nofollow noopener">polymarket.com/@0xb27bc932bf8… - 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82 -> 5 assets, 1 trade per 1.7 min, σ−55% -> $444,396.
The formula behind all three: V_T = V₀ · e^(N · r̄)
At 16,000 trades and 0.034% per trade -> ×240 growth.
Math doesn't care about your conviction.
Only about N.
The edge?
Humans sleep. Markets don't. At 3AM nobody's watching a 5-min BTC window.
The gap widens. The bot enters.
You don't have to build the bot. You just have to follow it.
-> Copy all 3 wallets live, starting from $10: t.me/KreoPolyBravoB… (Just add the wallets I attached above).
Save this list.
0xRicker@0xRicker
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Asseph retweetledi
We’re building a latency Football bot for Polymarket. Target: operational before the World Cup. Save this.
The principle: pro sports feeds (Sportradar, Opta) deliver pitch events in ~200-500ms. The Polymarket orderbook takes longer to reprice thin liquidity, market makers pulling quotes while they reassess. That window is the edge.
Yesterday, first live test on Bayern vs Real (Champions League QF).
86th minute, Camavinga gets his second yellow. Pipeline receives the event from Sportradar 280ms after the card. “Bayern advances” market was at ~0.55. Model recomputes to ~0.68 post-red and fires a $500 order.
Partial fill as expected: ~$180 caught around 0.55-0.57, the rest slipped to 0.63. Average 0.59. Market stabilized at 0.67 a few seconds later. Unrealized +$30. +6% in seconds.
It’s a test. But the loop worked end to end detection, decision, fill, before the book caught up.
What we learned: network latency is part of the problem. The real bottleneck is orderbook depth. We’re competing with sharp bots, not retail on their couch. And “next goal” markets have better spreads than qualification markets. Pivoting there.
What we’re building before June: fill routing across 12 venues via Jito atomic bundles. Low-signal event modeling (dangerous fouls, injuries, tactical shifts). UMA oracle hedging. Node co-location near Sportradar servers.
Why the World Cup matters.
104 matches in 39 days. $2.5B+ in projected prediction market volume. Deep liquidity means bigger positions fill cleanly. Thin liquidity in group stages means wider spreads. Both environments leave serious money on the table.
56 days to ship. We’re on it.
zostaff@zostaff
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Asseph retweetledi
⚡️Solana continues to lead all blockchains by 7D revenue with $15.54M
Followed by
🔸@HyperliquidX: $13.05M
🔸@ethereum: $10.3M
🔸@0xPolygon: $7.24M
🔸@BNBCHAIN: $4.11M
🔸@base: $3.79M
🔸@edgeX_exchange: $2.46M
🔸@ton_blockchain: $1.6M
🔸@arbitrum : $1.07M
🔸@Lighter_xyz: $429.4K
Solana Daily@solana_daily
Top 10 Gainer Memecoins on Solana in the Last 7 Days 📈 🔸BULL | @bullthemarket 🔸UN | $UNC 🔸WhiteWhale | @WhiteWhaleMeme 🔸WOJAK| @wojakonx 🔸114514 | @114514coin 🔸NEET | @neet_sol 🔸DUMBMONEY | @Dumb__Money 🔸SPIKE | @spikeorigin 🔸KABUTO | @KabutoKing_ 🔸LC | @LCSHIB
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Asseph retweetledi
A regular American student spent his entire two-month scholarship $2,400 on an iPad and Mac Mini.
Parents thought he bought a laptop for studying. Dorm roommates thought he was mining crypto.
He just installed 38 agents from GitHub and went to sleep.
In the morning the terminal showed that overnight the system had closed tasks a junior developer would take three days to do. No bugs. No questions. Without him.
pause at second 39 and you'll see OpenClaw. Installed on top. Now agents see the entire project at once and decide themselves what to do next.
iPad became the office. Mac Mini works while he's in class.
First client came after a month. Second a week after the first.
A regular agency does the same thing for $15,000 a month.
He pays $20.
Before this only a startup with $100,000 in investment could afford this setup.
Now - any student with a $1,000 scholarship.
Noisy@noisyb0y1
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Asseph retweetledi
MIT explains exactly how ChatGPT and Claude generate text. One lecture. No math degree required.
The model doesnt "think". It predicts the next word. Every single time. That's the entire mechanism.
> This lecture breaks down how it actually works:
- why the model can't "look ahead" at future words,
- how temperature controls creativity vs coherence,
- why the same prompt gives different answers each time,
- and how rare words get assembled from pieces instead of stored whole.
The part that matters for prediction markets: these same probability mechanics are what make LLMs useful for pricing events.
When you point an agent at a @Polymarket order book, its doing the same next-token prediction - but the "tokens" are market signals, news, and price data.
Understanding how the model selects outputs helps you understand where its reliable and where it hallucinates.
One lecture. Free. Worth more than most paid AI courses.
Bookmark this.
Atenov int.@Atenov_D
A Chinese MIT professor explains how financial and prediction markets actually work. Everything you need to understand both. Most people lose money in markets not because they pick wrong - but because they dont understand the structure they're playing against. Who sets prices. How liquidity works. Why derivatives exist. How market makers profit from every trade regardless of direction. This lecture explains the actual mechanics. After it you'll see every @Polymarket market differently - not as a bet, but as a pricing problem with a correct answer that the crowd hasn't found yet. That gap between the crowd's price and the correct price is where money gets made. One hour. Jake Xia. MIT. Bookmark this.
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Asseph retweetledi
Why hadn't Polymarket done this before? Pyth Pro integration
On Apr 2, @Polymarket added Pyth Pro as the resolution source for traditional asset markets
Imo, Pyth Pro would actually be better than ChainLink on 15-min / 5-min crypto markets:
> Pyth updates in 0.4s from big firms
> Pull model saves gas fees and scales easily
> Polymarket already uses it for stocks since Apr 2026
But it seems the Polymarket team isn't yet ready to change their usual
So for now, everything will stay as it was
Pyth: stocks, commodities, etc. with WebSocket feeds sampled every second
Chainlink: crypto prices and short-duration automated settlement
Mb we'll get an update on this soon
morph@morpphhhaw
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Asseph retweetledi
Been focused on selling AI digital products on a Chinese platform lately.
Started with low prices and inconsistent orders, each small sale added up, more exposure, more reviews.
Recently raised the price to $7/order,
now getting a steady 2-3 sales a day.
Now figuring out how to scale this further 👀
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Asseph retweetledi
LIVE NOW:
@SuperteamCAN Build Station
x.com/i/broadcasts/1…
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Asseph retweetledi
🚨 UNDER THE RADAR WALLET FOR COPY TRADING
Added him to my bot 2 days ago.
Result? +$7,650 clean profit after just 3 trades.
The best part? Nobody is following him yet.
He started actively trading just one week ago.
And made $141k PnL in 15 trades already...
His Win Rate is also perfect: 78.6%
So far he won 12 trades and lost just 3.
He might be the next $1,000,000 PnL trader.
And I will be the one who silently profits from it too.
Leaving his wallet and my copy trading setup below.
Link: [merlin.trade/go/ct_0xd9adcb…]
Thank me later.
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