Viktor Bodnar

133 posts

Viktor Bodnar

Viktor Bodnar

@ViktorBodnar89

Katılım Şubat 2022
137 Takip Edilen31 Takipçiler
Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@polymaster how many open positions do you hold at the same time for a more stable income? and can you share your average roi per day?
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polymaster@polymaster·
CPI 数据公布的瞬间,概率和方向同时反转。这恰恰说明这类算法更适合做市,而非赌方向。 原因在于:从时序角度看,模型输出的概率只在当下那一刻有意义,很难外推数小时。而特征工程中的历史数据(如日历特征)对概率的边际影响极其微弱——它们能捕捉的是统计规律,而无法定价"今日 CPI 在当前经济环境下的具体冲击"。更关键的是,突发事件在发生前只是以概率被市场定价,发生后才会被实际反映在价格中,这类非连续跳变本身就超出了模型的预测边界。 不过,算法也捕捉到了一个我曾经推演过的现象:市场价格相对真实概率存在凸性偏差。人们对高赔率和反转方向的博弈偏好,会在部分时刻将二元期权价格推离其隐含概率所对应的合理水平。
polymaster tweet mediapolymaster tweet media
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polymaster@polymaster·
最近蛰伏了几周来研究 SPX 开盘方向的定价。目前模型在盘前三小时的方向判断上连续三天命中了结算方向——听起来不错——但实际上这个时间点市场本身的隐含概率已经很准了:大部分时候市场价格本身就足以揭示市场最终的价格(俗称尾盘),我的模型定价也和市场定价高度趋同。回测下来一个月真正能打出 edge 的窗口也就几天,所以这并不是一个“印钞机”策略,更像是耐心等低效定价出现再下注,或者是用来消除部分“尾部风险”。尚不确定一个月实盘收益能否 cover 那些很贵的美股数据各类指标的实时 API订阅,这也从侧面说明了预测市场追求的更加精确的定价最终是靠各类服务商提供越来越专业且基础成本不菲的服务为代价的。而提供商的卷利润的过程,才是真正让预测市场价格越发具备发现性的过程。 今天盘前三小时开始后我会在这条下面实时贴一下模型输出和市场价格的对比。
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@polymaster I would like to hear your advice, we have reduced the number of positions to 25 now, in our marketmaking bot for liquidity farming. and it has actually become breakeven. that is, the rewards cover the losses. but I would like to earn) so the question is:
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SecureZero 
SecureZero @securezer0·
Did you know Polymarket will pay you to lose money? Its as simple as: 1. Find a market with big rewards & low competition 2. Place limit orders in the books 3. Generate APY paid out daily The problem? The market moves against you, filling your limits as the odds fall!
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polymaster
polymaster@polymaster·
补充一些用户 concern,兼听则明。
Alvin@trader_alvin

【⚠️ Typeless 用戶注意】你的螢幕文字、錄音檔、編輯記錄全都被送到雲端了,而且無法自行查看內容! 我實測一個月就累積 400MB 資料,涵蓋 10+ App 和 20+ 網站 😱 看到以下這篇後,我對自己安裝的 Typeless v1.0.0 做了完整的本地驗證,結果供各位參考。 ✅ 不幸的是:原文核心指控全部驗證屬實 100% 雲端語音處理、無本地 STT 模型、CGEventTap 鍵盤監控、Accessibility API 螢幕文字收集、五大瀏覽器支援、編輯追蹤回傳伺服器 — 全數確認。 以下是原文沒提到、但我實際確認的補充: 📌 新發現 1️⃣ 還有兩個未被提及的原生函式庫:libInputHelper.dylib(模擬 Cmd+V 貼上、NSPasteboard 剪貼簿操作)和 libUtilHelper.dylib(含 AVCaptureDevice 相機引用)。另外有 koffi FFI 函式庫用於從 JS 動態調用這些原生函式。 2️⃣ 剪貼簿用途與原文有出入:原文說可讀取密碼管理器的剪貼簿。我的分析發現主要是 NSPasteboardWriting(寫入),TransientType 是標記 Typeless 自己的辨識結果為暫時性,而非讀取密碼管理器的內容。風險比原文描述略低。 3️⃣ audio\context 在本地是加密儲存的:最敏感的螢幕文字上下文在 DB 中是加密的(IV:密文格式),你無法自行審計被送出的螢幕文字。 4️⃣ 編輯追蹤資料不存本地、直接送出:sendTrackResultToServer POST 到 /user/traits,但不經過本地資料庫。2300+ 筆記錄中 edited\text 全部為空。你無法透過檢查 DB 得知所有被送出的資料。 5️⃣ 鍵盤監控分兩層:CGEventTap 持續運行但只偵測快捷鍵(ShortcutDetector);按鍵追蹤(onPressKeyboardKeys)僅在語音輸入後 15 秒內啟動。 6️⃣ 未發現背景偷傳機制:搜尋了定時器、排程、背景同步等模式均未發現。也沒有 Launch Agent/Daemon。資料外傳主要綁定在語音輸入觸發的流程中。 7️⃣ 伺服器可遠端控制收集範圍:app-storage.json 中有 accessibilityConfig,包含 App 白/黑名單和 URL 黑名單,由伺服器端同步下來。 8️⃣ 我使用約一個月的實際資料規模:191MB 資料庫(2300+ 筆)、210MB 錄音檔(2300+ 個 .ogg),記錄涵蓋 10+ 個 App 和 20+ 個網站。在宣稱「Zero data retention」的情況下全數保留。 📌 結論 原文的核心指控基本屬實。最讓我意外的是編輯追蹤不經本地直接送出,以及螢幕文字上下文在本地加密導致無法自行審計。 建議使用者至少查看自己的 typeless.db 了解被記錄的範圍。

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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@polymaster Do you classify markets according to some of your own criteria, or do you participate selectively only in those where, based on your experience, you already know the price behavior? In other words, you don’t scale up to many markets, but instead work only with a few of them?
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polymaster@polymaster·
yes, it can run stably, but only if you have an edge in the specific market you're trading and do risk control strictly. You can't just drop a fixed algorithm into a random market and expect all time positive returns. The edge comes from understanding the market's characteristics — its volatility pattern, what drives price moves, how informed the flow is — and tuning your strategy accordingly. Without that, no amount of technical "algorithm" can simply win.
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@polymaster So, do I understand correctly? The main focus should be precisely on your orders not getting triggered. Market making as such is practically impossible for the majority of events…
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polymaster@polymaster·
Hey Viktor, I run into this exact problem all the time — adverse selection hits way harder than people expect. Honestly, the losses from getting picked off often dwarf the liquidity rewards you're farming. So over time I've realized market selection is everything. You really need to understand the characteristics of each market you're making: 1. Sudden crash-type markets (e.g. "Will Cloudflare go down?"): These can go from 5% to 95% in seconds when an outage actually happens. For these, I run a separate monitoring bot that watches external signals — the moment something triggers, it pulls all my quotes before informed traders can pick them off. 2. Slow trending markets (e.g. JD Vance 2028 nomination lately): These shift gradually over days or weeks as sentiment evolves. Here I adjust my quotes very slowly — think hourly — and keep my spread wide. You're not trying to be tight; you're just collecting rewards while staying out of the way of the drift. 3. Tight-spread, range-bound markets: These are actually the friendliest for MM. You post slightly wider than the market, and when one side gets filled (with +1 spread or even more), you immediately post the other side at (100 - filled price +/-spread). Worst case you break even, best case you pocket the spread on top of rewards. In an idealized case — say a range-bound up/down market with enough volatility — you can sell both sides at 51 or better at different points in time as the price oscillates. Of course the midpoint drifts, so it won't always be a clean 50/50 split, but as long as the market swings back and forth, you get opportunities to fill both sides above 50 (or anyother midpoint price), pocketing the spread plus rewards. The real takeaway is: there's no one-size-fits-all MM config. Each market type needs its own parameter set — spread width, quote update frequency, inventory limits, and what external signals to watch. The bot that survives is the one that knows which game it's playing. Keep building — sounds like you've got a solid practice already.
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@polymaster Hello! We’ve built, in our opinion, a really solid bot for farming rewards on Polymarket. It does a good job finding the right markets/pools, protects its orders well, and when some orders get filled, it tries to rebalance them — often selling into profit.
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@securezer0 Do you have statistics on how many arbitrage opportunities in $ your bot finds per day?
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SecureZero 
SecureZero @securezer0·
My Polymarket Arbitrage Trading Bot Just Got A Huge New Upgrade! + 7,000,000 Markets Analysed + 6,000 Matches Identified + $350,00 in +EV Arbs This new upgrade is a Game Changer! HOW IT WORKS The bot is scanning thousands of markets looking for Live Arbitrage Opportunities Everyday hundreds of mispricings are identified where YES + NO < $1 When I see one I want to trade, I’ll open it on AlertPilot and use the calculator to check how much I should be buying I then go to Polymarket & the other platform and enter my buys exactly how the bot instructed I already shared my wallet address with the bot earlier, so it immediately registers my new positions Now the bot scans 24/7 checking if my positions can be sold The math is simple: I bought YES + NO < $1 I will sell YES + NO > $1 As soon as that’s possible, I got a notification I close my positions, locking in the profit And I wait for a new arbitrage alert! Sound easy? Because it is Anyone can copy the strategy with AlertPilot
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mert
mert@mert·
Code: HAM334 (Id recommend desktop over mobile for now) -> checkprice.com -> sign in top right -> enter code -> deposit funds via transfer, wallet, or moonpay cross chain swaps
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mert
mert@mert·
checkprice is the fastest way to lose money on crypto check price, watch price, predict price invite only for now, codes ran out in 1m yesterday sharing a few more below referral fees and perps coming soon
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@securezer0 Through your bot, is it possible to sort events by time and only look for opportunities there?
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Viktor Bodnar
Viktor Bodnar@ViktorBodnar89·
@securezer0 A good opportunity. But how do we can exit with profit from it without waiting until the end?
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SecureZero 
SecureZero @securezer0·
Big fat juicy new arbitrage that i found on AlertPilot Heres how you can capture $171 +EV " Will Trump visit China by April 30? " Polymakret → NO → 20.2c Opinion → YES → 75c Combined 95.2c It should be 100c ( Same Event ) But its not, because the market is inefficient
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SecureZero 
SecureZero @securezer0·
@ViktorBodnar89 Because the historical chart data isn't granular enough to see this spread. Thats why the bot exists.
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SecureZero 
SecureZero @securezer0·
HUGE Arbitrage on Polymarket, anyone can take these and Generate +EV & Risk Free Volume (for the Airdrop) Polymarket > NO > 21% Opinion > YES > 58% These appeared because the crypto market moved fast and Polymarket / Opinion odds adjusted differently before synchronising.
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