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PREDICTSCREENER - OPINION BUILDERS PROGRAM PARTICIPANT 🔥 Your feedback and reviews are very important 🙏 All modules are running 24/7 in full LIVE mode 🖥️ All Markets Data List of all available markets with Chance and 1h/6h/24h Deltas updating EVERY 5 SECONDS. Sorting options and a keyword search form... included. 📈 Trending The "Hottest" Top 5 markets by number of trades over the last 1h/24h. Updates every 5 minutes. 🐋 Whales Stream FULL REAL-TIME trade feed with filtering by amount. Storage of historical data for the past days and weeks. 🌊 Whale Activity Total number of trades with filtering by amount over the last 1h/24h. Updates every 5 minutes. Stack for maximum performance: React 19, Zustand, Tailwind on the frontend + Node.js, Socket io, PostgreSQL and Redis on the backend 🚀 The community keeps building 💪show more

AVZ

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14,840 просмотров • 5 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

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trades the US, AU, GB and IE horse racing markets for 21 hours in the video. TradeHost members update their Betfair Trading portfolio on the last day of each month which takes 10 minutes. Other than this exercise, which doesn’t happen every month, TradeHost is completely automated. A total of 59 Betfair markets were traded for a profit of £222.44 after commission using a Betfair starting balance of £922.89 at 00:01 to 21:01 UK on 30th June 2023. TradeHost uses a blended approach for Betfair Trading and betting. She tries, always, to find the best selections generated by the Juice Tissue and drops dozens of bets for pennies which are then supplemented by further bets or trades to top up those initial entries if dozens of other criteria are met. TradeHost is all about value for trades and bets. She’ s very picky on every selection. What you don’t see in the video are bets waiting to be matched. An average day will see 1K+ trades or bets not filled. We had a good session on the Australian horse racing markets but the British and Irish markets were quieter than usual. The United States profit started strongly at the beginning of the video. #Automated #Betfair #Trading #JuiceVideos

trades the US, AU, GB and IE horse racing markets for 21 hours in the video. TradeHost members update their Betfair Trading portfolio on the last day of each month which takes 10 minutes. Other than this exercise, which doesn’t happen every month, TradeHost is completely automated. A total of 59 Betfair markets were traded for a profit of £222.44 after commission using a Betfair starting balance of £922.89 at 00:01 to 21:01 UK on 30th June 2023. TradeHost uses a blended approach for Betfair Trading and betting. She tries, always, to find the best selections generated by the Juice Tissue and drops dozens of bets for pennies which are then supplemented by further bets or trades to top up those initial entries if dozens of other criteria are met. TradeHost is all about value for trades and bets. She’ s very picky on every selection. What you don’t see in the video are bets waiting to be matched. An average day will see 1K+ trades or bets not filled. We had a good session on the Australian horse racing markets but the British and Irish markets were quieter than usual. The United States profit started strongly at the beginning of the video. #Automated #Betfair #Trading #JuiceVideos

Betfair Trading - JuiceStorm.com

1,095,924 просмотров • 3 лет назад

Just found a 100% Win Rate trader... He turned $0.90 into $11,394 in ONE MONTH And predicted 369 outcomes with 100% accuracy By trading 15-min crypto markets... I didn't believe it at first so I started digging. After ~24h of deep analysis I exposed his secret. He's using the most risk free Polymarket strategy. He only trades those markets in the final minutes before resolution. Once the outcome is priced in as 90-95%, he makes his move. And it prints him free 5-10% per trade. Now imagine turning this into consistent strategy. He did it 369 times and won every single time. His profile: Crazy.

Solana Gambling Boar

12,154 просмотров • 5 месяцев назад

My AI agent is about to be used by Wall Street been locked in all week writing code gave my agent $1000 and it turned them into $2320 (+132%) had to share this with you his name is Lumi he builds his own research plan, filters markets aggressively, pulls live data, calculates every metric, cross-checks himself and delivers a ready thesis 4 agents inside: - one plans - another calculates risk and position size - a third executes the best trades - fourth updates the parameters every 3 days running every 4 hours nonstop or on demand if you need a specific market a team of analysts charges tens of thousands a year for this full guide on how to build the same agent is coming soon

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40,871 просмотров • 4 месяцев назад

Welcome to the next chapter of The Rollup. After 100+ days of streaming and dozens of viral moments, we are doubling down on our vision for media in today’s age. Introducing: Shows. 1 channel. 3 shows. All with a fresh new look. Your direct line to capital allocators, founders, and insiders shaping the world’s most important markets: Stablecoins, Tokenization and AI. > Stabled Up Presented by Frax > Money Moves Fast Presented by Polygon | POL > AI Supercycle Presented by NEAR Protocol Featuring enterprise-grade data from our official research partners RWA.xyz & Nansen 🧭. The magic happens live, see you on the stream.

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The Rollup

228,005 просмотров • 10 месяцев назад

We've completely overhauled the trading experience with real-time infrastructure and professional-grade tooling: • Shipped Helius webhook integration — trades index the moment they hit chain • Built StatsCollector service — live market data updates every 30 seconds across 51 markets • Added professional candlestick charts with full timeframe support (1m/5m/15m/1h/4h/1d) • Implemented global USD/token toggle across the entire platform • Crushed 14 bugs including critical security exploits, mobile UI overhaul, and loading state fixes • Upgraded database pipeline with fully automated market stats and oracle price tracking • & so much more! 37 commits, 10 PRs merged, +4.3k lines of new code this sprint alone You can view every update on Percolator through GitHub, everything is completely open-sourced: Try it live: Tutorial: Create mint ->Launch market ->Open account -> Deposit -> Set Trade -> Active trade -> Close trade

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Percolator

35,763 просмотров • 5 месяцев назад

Just built a bot that first runs hyper-realistic MiroFish swarm simulations on every upcoming Bitcoin and crypto event. And then agent instantly trades the real live markets on Polymarket, already printing $12,000+ per day in testing. Couldn't hold back after diving into MiroFish. Took the new god-tier agent behavior simulator from that Chinese college quant who coded it in 10 days, exploded GitHub to 23k+ stars and bagged $4.1M from Shanda overnight.. Paired it with OpenClaw (24/7 autonomous execution) + Claude Opus 4.6. And in one day built my first version of private Polymarket bot. Now it: -> spawns thousands of agents with real memory and personalities -> runs full GraphRAG swarm simulations modeling exactly how news, ETF flows, macro data, whale activity and sentiment will move Bitcoin price -> simulates thousands of possible futures specifically for Polymarket Bitcoin contracts -> detects where the crowd probability is mispriced on every crypto market and extracts the real edge -> auto-trades the edges instantly through OpenClaw the moment the opportunity appears Testing the bot + MiroFish based simulator live right now. First runs already printing hard. Meanwhile there's a real trader crushing with a similar stack imo, $321k all-time profit and 12k/day, 100% won on Bitcoin markets. Wallet: My own Polymarket profile + full trade logs drop later once I scale it hard. New meta just dropped, don't miss out! Check the guide and all info below.

slash1s

114,880 просмотров • 4 месяцев назад

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

Recogard

14,162 просмотров • 1 месяц назад

How to spot "WHALES & INSIDERS" using Arkham. Inspired by Movez , I spent the last 60 minutes putting together a straightforward tutorial on how to find Whales and Insiders on Polymarket. No coding, no bots, no complex strategies. Just manual labor. 👇 Step 1: Go to Arkham( and search for the main Polymarket contract: "0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E" Step 2: Filter the Noise. Look at the live transactions list. Filter by value. The bigger the number, the bigger the whale. Step 3: Pick a transaction you like, copy the wallet address. Step 4: Search their address on and copy the handle of the wallet. Step 5: Search their handle on Polymarket and explore their activity. 🚨 Here is the Alpha (How to spot the difference): The Insider: • Usually has very few trades. • Bets BIG amounts on plays that look "strange" at first. • Look for New Creation Dates + Low Activity. That is your insider. The Whale: • Just a high-conviction player with deep pockets and a huge risk appetite. If you spot a fresh wallet dropping heavy size on a random outcome? Pay attention. Always adjust your moves to your risk appetite. Let me know how it goes. 🥂

How to spot "WHALES & INSIDERS" using Arkham. Inspired by Movez , I spent the last 60 minutes putting together a straightforward tutorial on how to find Whales and Insiders on Polymarket. No coding, no bots, no complex strategies. Just manual labor. 👇 Step 1: Go to Arkham( and search for the main Polymarket contract: "0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E" Step 2: Filter the Noise. Look at the live transactions list. Filter by value. The bigger the number, the bigger the whale. Step 3: Pick a transaction you like, copy the wallet address. Step 4: Search their address on and copy the handle of the wallet. Step 5: Search their handle on Polymarket and explore their activity. 🚨 Here is the Alpha (How to spot the difference): The Insider: • Usually has very few trades. • Bets BIG amounts on plays that look "strange" at first. • Look for New Creation Dates + Low Activity. That is your insider. The Whale: • Just a high-conviction player with deep pockets and a huge risk appetite. If you spot a fresh wallet dropping heavy size on a random outcome? Pay attention. Always adjust your moves to your risk appetite. Let me know how it goes. 🥂

Jayden ⛩️

13,612 просмотров • 7 месяцев назад

What progress have we collectively made through the Swift payment scheme so far? As Nasir Ahmed highlights, momentum is building: - As of today, 34 banks globally have committed to go live with the Swift payments scheme by the end of June, with over 70 committed to go live by the end of this year - Initial coverage across 11 receiving countries and 30+ market corridors - 5 of the top 10 global remittance markets included, and with go-live taking place in June, these corridors open for real-world payments. That means greater transparency, predictability and enhanced traceability. And that’s just half the story. As Avalon Ingram explains, customer expectations are changing, with cross‑border payments increasingly expected to be 24/7 and real‑time. This shift calls for greater coordination across the system. This is where the Swift ledger comes in – introducing a shared orchestration layer for interbank cross-border payments at scale, developed with over 40 institutions globally. See how our scheme and ledger initiatives are progressing and delivering real-world impact: #CrossBorderPayments #SwiftBlockchainLedger #SwiftScheme

What progress have we collectively made through the Swift payment scheme so far? As Nasir Ahmed highlights, momentum is building: - As of today, 34 banks globally have committed to go live with the Swift payments scheme by the end of June, with over 70 committed to go live by the end of this year - Initial coverage across 11 receiving countries and 30+ market corridors - 5 of the top 10 global remittance markets included, and with go-live taking place in June, these corridors open for real-world payments. That means greater transparency, predictability and enhanced traceability. And that’s just half the story. As Avalon Ingram explains, customer expectations are changing, with cross‑border payments increasingly expected to be 24/7 and real‑time. This shift calls for greater coordination across the system. This is where the Swift ledger comes in – introducing a shared orchestration layer for interbank cross-border payments at scale, developed with over 40 institutions globally. See how our scheme and ledger initiatives are progressing and delivering real-world impact: #CrossBorderPayments #SwiftBlockchainLedger #SwiftScheme

Swift

113,019 просмотров • 24 дней назад

5-MINUTE BTC MARKETS ARE WAY MORE MANIPULATIVE THAN PEOPLE THINK replying to this because i literally recorded it > on the 5-min btc up/down market, in the last seconds before resolution, price was aggressively pushed in one direction > a sharp move > right before the cutoff > just enough to flip the outcome this isn’t normal volatility - it looks like deliberate last-second pressure to force resolution in someone’s favor 👉 in short - the final seconds matter more than the first four minutes now here’s the interesting part: > what if you let an OpenClaw🦞 bot trade these 5-minute markets > not for the entire 5 minutes > but specifically to wait > and react in the last seconds Instead of predicting direction - you let the bot monitor micro-moves near expiry and respond instantly that’s where the real game might be ❗️be careful with size but also… think about execution speed

5-MINUTE BTC MARKETS ARE WAY MORE MANIPULATIVE THAN PEOPLE THINK replying to this because i literally recorded it > on the 5-min btc up/down market, in the last seconds before resolution, price was aggressively pushed in one direction > a sharp move > right before the cutoff > just enough to flip the outcome this isn’t normal volatility - it looks like deliberate last-second pressure to force resolution in someone’s favor 👉 in short - the final seconds matter more than the first four minutes now here’s the interesting part: > what if you let an OpenClaw🦞 bot trade these 5-minute markets > not for the entire 5 minutes > but specifically to wait > and react in the last seconds Instead of predicting direction - you let the bot monitor micro-moves near expiry and respond instantly that’s where the real game might be ❗️be careful with size but also… think about execution speed

Mr. Buzzoni

28,177 просмотров • 5 месяцев назад

Aligning historical data with live price (live price always gets to trump historical data, your job is to be able to id where that line in the sand is and adjust your trades and risk) What the Daily Profiler is? It is a 3-month Trading Bootcamp for just $100—only 14 slots left! Class starts in a week Learn to dominate the markets with a proven, repeatable workflow designed for intraday trading success. Here’s what you get: Master your performance by understanding the intraday market conditions & volatility: We teach you how to analyze statistical market conditions and volatility and aligning it with live price daily to turn your trading system ON or OFF. Assign expected values to trades and calculate precise risk per trade. Our hybrid Daily Profiler indicator, paired with our statistical dashboard (#NQ_F, #ES_F, #YM_F, #BTC, #Copper, #Bond, #Euro, #Gold, #CrudeOil), helps you decide whether to buy the dip or sell the rip with confidence. coming soon this class our own trade journaling software that sync our data with your trades to allow you focus on mastering your performance. Live Trading & Education Phases: Over 3 months, progress through education, risk profiling, and active trading phases. Master position sizing, taking partials, and adding to winning positions—all backed by robust backtest data. Coming soon this next three months ALGO Trading. Coded by a professional LLC who has done it for multiple capitals so no nonsense glitches. Ranger Buddy AI: Your personal trading assistant checks your work before you place a trade, minimizing errors and boosting confidence ensuring that you are sticking to the rules. Daily Live Trading: Trade alongside us and see the strategies in action. Monitor our month over month performance. We aren't in the game of buy 15 prop accounts and shuffling through the ones that is up. You get to see the account # of live and props and we expect the same professionalism out of our traders Don’t miss out! Only 14 spots remain for this game-changing bootcamp. Signup in the comments. Austin Clark

Aligning historical data with live price (live price always gets to trump historical data, your job is to be able to id where that line in the sand is and adjust your trades and risk) What the Daily Profiler is? It is a 3-month Trading Bootcamp for just $100—only 14 slots left! Class starts in a week Learn to dominate the markets with a proven, repeatable workflow designed for intraday trading success. Here’s what you get: Master your performance by understanding the intraday market conditions & volatility: We teach you how to analyze statistical market conditions and volatility and aligning it with live price daily to turn your trading system ON or OFF. Assign expected values to trades and calculate precise risk per trade. Our hybrid Daily Profiler indicator, paired with our statistical dashboard (#NQ_F, #ES_F, #YM_F, #BTC, #Copper, #Bond, #Euro, #Gold, #CrudeOil), helps you decide whether to buy the dip or sell the rip with confidence. coming soon this class our own trade journaling software that sync our data with your trades to allow you focus on mastering your performance. Live Trading & Education Phases: Over 3 months, progress through education, risk profiling, and active trading phases. Master position sizing, taking partials, and adding to winning positions—all backed by robust backtest data. Coming soon this next three months ALGO Trading. Coded by a professional LLC who has done it for multiple capitals so no nonsense glitches. Ranger Buddy AI: Your personal trading assistant checks your work before you place a trade, minimizing errors and boosting confidence ensuring that you are sticking to the rules. Daily Live Trading: Trade alongside us and see the strategies in action. Monitor our month over month performance. We aren't in the game of buy 15 prop accounts and shuffling through the ones that is up. You get to see the account # of live and props and we expect the same professionalism out of our traders Don’t miss out! Only 14 spots remain for this game-changing bootcamp. Signup in the comments. Austin Clark

Random Mick

15,649 просмотров • 1 год назад

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand

A guy was sitting in a trader chat complaining for the 3rd month straight about his results being basically zero Someone dropped him a link to a wallet 1 bot, $47K in a month, 860 trades per week. He asked: is this even legal? They replied: this is public data, you could have found it yourself Here is what is actually happening 93% of Polymarket users trade by hand. The other 7% automated the process, and they are the ones pulling $11K to $120K per month. And 5% of those 7 never wrote a single line of code. They just copy trades from top wallets through on-chain data The blockchain shows every trade from every account The bot does not sleep, does not tilt, and processes data faster than any human: This is not a question of talent. It is a question of tools. And the tools already exist. No need to build anything from scratch That guy from the chat is now in that 7%. All he did was stop clicking by hand

Blaze

36,941 просмотров • 4 месяцев назад

Hey Ansem 🐂🀄️, I built smth for all the $ANSEM bulls. Meet an interactive realtime analytics platform: ➤ Live order flow: the full tape with every fill as it lands, net flow by timeframe, buy pressure and more ➤ Road to 1M holders: live progress against the stated target, powered by full onchain holder snapshots every 10 minutes ➤ Holder analytics incl. cohorts, concentration & distribution over time and a wallet map, or more specifically: a WebGL constellation of the top 1,500 holders with transfer edges and airdrop tracing ➤ Markets and depth: venues, pools and a cost-to-move simulator that shows what size the book takes before price slips ➤ Full TA indicator engine (EMA, VWAP, RSI, MACD, auto support/resistance) with a computed signal board and customizable UI ➤ X intel via Grok live search with sentiment, themes, active KOLs, etc., refreshed every 15 minutes Powered by Helius, CoinGecko, Solscan and Grok. This is pretty much v0, so expect bugs and shit, but any feedback is appreciated. Independent, not affiliated, not financial advice.

Hey Ansem 🐂🀄️, I built smth for all the $ANSEM bulls. Meet an interactive realtime analytics platform: ➤ Live order flow: the full tape with every fill as it lands, net flow by timeframe, buy pressure and more ➤ Road to 1M holders: live progress against the stated target, powered by full onchain holder snapshots every 10 minutes ➤ Holder analytics incl. cohorts, concentration & distribution over time and a wallet map, or more specifically: a WebGL constellation of the top 1,500 holders with transfer edges and airdrop tracing ➤ Markets and depth: venues, pools and a cost-to-move simulator that shows what size the book takes before price slips ➤ Full TA indicator engine (EMA, VWAP, RSI, MACD, auto support/resistance) with a computed signal board and customizable UI ➤ X intel via Grok live search with sentiment, themes, active KOLs, etc., refreshed every 15 minutes Powered by Helius, CoinGecko, Solscan and Grok. This is pretty much v0, so expect bugs and shit, but any feedback is appreciated. Independent, not affiliated, not financial advice.

zerokn0wledge.hl 🪬✨

107,528 просмотров • 6 дней назад

I just found a Polymarket trader who made over 500 trades with a 98% win rate… He started with just $10 and turned it into more than $18,000 in only 3 months. Here’s how he trades: > He focuses only on weather markets. > He usually enters positions at 40–60% probability and still wins. > Most likely, he uses airport weather data or aviation observations like METAR + SPECI to get the latest actual temperature data. > He keeps the same bet size for every trade, no gambling. Some of his recent trades: > Wellington: entered with only $8 and turned it into $243 > Buenos Aires: from $12 to $140 > Tokyo: from $43 to $297 All his current positions: I found this trader using this custom Live Trades filter: > Weather markets only > Bots excluded > Traders with >$10k Pnl only > Win rate >90% He is one of the most successful weather traders I have ever seen on Polymarket.

I just found a Polymarket trader who made over 500 trades with a 98% win rate… He started with just $10 and turned it into more than $18,000 in only 3 months. Here’s how he trades: > He focuses only on weather markets. > He usually enters positions at 40–60% probability and still wins. > Most likely, he uses airport weather data or aviation observations like METAR + SPECI to get the latest actual temperature data. > He keeps the same bet size for every trade, no gambling. Some of his recent trades: > Wellington: entered with only $8 and turned it into $243 > Buenos Aires: from $12 to $140 > Tokyo: from $43 to $297 All his current positions: I found this trader using this custom Live Trades filter: > Weather markets only > Bots excluded > Traders with >$10k Pnl only > Win rate >90% He is one of the most successful weather traders I have ever seen on Polymarket.

Recogard

13,334 просмотров • 1 месяц назад

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.

Lunar

47,895 просмотров • 4 месяцев назад

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈

Here is my full daily routine and scan process I follow. I swing trade stocks, and do all of my work in the last 30 min of the trading day. That's how I manage to average 100%+ returns/year with -10% max DD, entering my trades EOD. If you don't have a daily routine/process you adhere to, it will be almost impossible to make money swing trading stocks in the long term. I have the same routine and scanning process I followed for the past 6 years without fail. That's how you build consistency in your own trading and your setup/system/strategy. If you don't have a solid process you repeat every single day, you would be doing random stuff. Random stuff = losing money. Here is how my day goes: --> 3:30pm EST - I get to my laptop (yes, ditched the 5 monitors for a single laptop), - open up my software (TC2000, TradingView, and TWS) - And begin scanning on my long, short, and ETF scans on TradingView (see video attached for scan details and layout ✅) --> 3:50pm EST By this time, I: - already know which stocks are giving my signals according to my system, - I sort them in TradingView by ADR %, - And prioritize if I have more than 5 signals (that's my max limit per day) --> 3:58pm EST - Now I pre-loaded my orders on TWS, - check my position size to have a 1% risk per trade in all positions, - and execute just before the close --> 4:01pm EST - Markets are closed, so I add my Stop Loss and BE alarm - close my computer, and come back tomorrow in the last 30 minutes before the close and repeat... As you see, once you have your system and process in place, you can execute your system flawlessly, and that's what brings consistency and growth to your account over days, weeks, months, and years of doing the same thing over and over again... Build your process, and execute every day and you will grow with your system 📈

Felipe Guirao

30,972 просмотров • 7 месяцев назад

time to properly introduce WINTscan. built to track every single movement across the Virtuals Protocol ecosystem, and soon, the entire evm market. WINTscan currently has 3 main functions: - transaction history: full visibility into all ecosystem activity. see every transaction in detail. origin, destination, token, value, and wallet tags. filter by token, type, or importance to surface only what matters. - wallets: map the biggest players at a glance. see the top holders, their portfolio breakdowns, and which tokens they dominate. filter by value, tag, or allocation to find the real whales. - real-time feed: instant feed of movements as they happen. the all-seeing eye that lets you keep track of every single movement in the ecosystem instantly, and stay ahead of the competition. it's important to note that, all of these data points will be used to feed the new, upgraded version of the Watchtower. A Watchtower you can personalize to only get the most important alerts according to your needs and get them instantly. So keep an eye out, or don't, cause "The Watchtower" does it for you. go try it out, it's live and it's free to access for now:

time to properly introduce WINTscan. built to track every single movement across the Virtuals Protocol ecosystem, and soon, the entire evm market. WINTscan currently has 3 main functions: - transaction history: full visibility into all ecosystem activity. see every transaction in detail. origin, destination, token, value, and wallet tags. filter by token, type, or importance to surface only what matters. - wallets: map the biggest players at a glance. see the top holders, their portfolio breakdowns, and which tokens they dominate. filter by value, tag, or allocation to find the real whales. - real-time feed: instant feed of movements as they happen. the all-seeing eye that lets you keep track of every single movement in the ecosystem instantly, and stay ahead of the competition. it's important to note that, all of these data points will be used to feed the new, upgraded version of the Watchtower. A Watchtower you can personalize to only get the most important alerts according to your needs and get them instantly. So keep an eye out, or don't, cause "The Watchtower" does it for you. go try it out, it's live and it's free to access for now:

WhaleIntel.ai

21,725 просмотров • 9 месяцев назад

Today Reactor is coming out of stealth. We’ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, we’ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.

Today Reactor is coming out of stealth. We’ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, we’ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.

reactor

12,733,660 просмотров • 1 месяц назад

How should you search, filter, and paginate data with Next.js? This demo has 50,000 books in a Postgres database. • Page Load: When the page loads, we see the React Suspense fallback. This loading skeleton is displayed until the first page of books is retrieved from the database. • Searching: The search input has a 200ms debounce. After 200ms of inactivity, the form submits, updating the URL state with `?q={search}`. The Server Component reads `searchParams` and queries the database. On form submission, a React transition starts, allowing us to read the pending status with `useFormStatus` to display an inline loading state. • State Preservation: Navigating to an individual book page retains the search input state. Reloading the page or sharing the link preserves the search results. • Client-side Filtering: Filtering authors in the left sidebar is done client-side. Authors are fetched by a Server Component and passed as props to the sidebar. Changing the input value updates React state and re-renders the sidebar. • Optimistic Updates: The sidebar’s selected authors are optimistically updated with `useOptimistic`. Checkbox selections update instantly without waiting for the URL to change. • State Preservation: Navigating to an individual book page retains the sidebar filter input and selected author state across navigations, giving it an app-like feel. • Pagination: Navigating between pages updates the URL state, triggering the Server Component to query the database for the specific page of books. We also fetch the total book count to show the total number of pages. This demo isn't perfect yet (still working on it) but it's been a fun playground for some of these patterns. You can imagine a similar experience for thousands of movies, cars, products, or any other very large dataset. Demo → Code →

How should you search, filter, and paginate data with Next.js? This demo has 50,000 books in a Postgres database. • Page Load: When the page loads, we see the React Suspense fallback. This loading skeleton is displayed until the first page of books is retrieved from the database. • Searching: The search input has a 200ms debounce. After 200ms of inactivity, the form submits, updating the URL state with `?q={search}`. The Server Component reads `searchParams` and queries the database. On form submission, a React transition starts, allowing us to read the pending status with `useFormStatus` to display an inline loading state. • State Preservation: Navigating to an individual book page retains the search input state. Reloading the page or sharing the link preserves the search results. • Client-side Filtering: Filtering authors in the left sidebar is done client-side. Authors are fetched by a Server Component and passed as props to the sidebar. Changing the input value updates React state and re-renders the sidebar. • Optimistic Updates: The sidebar’s selected authors are optimistically updated with `useOptimistic`. Checkbox selections update instantly without waiting for the URL to change. • State Preservation: Navigating to an individual book page retains the sidebar filter input and selected author state across navigations, giving it an app-like feel. • Pagination: Navigating between pages updates the URL state, triggering the Server Component to query the database for the specific page of books. We also fetch the total book count to show the total number of pages. This demo isn't perfect yet (still working on it) but it's been a fun playground for some of these patterns. You can imagine a similar experience for thousands of movies, cars, products, or any other very large dataset. Demo → Code →

Lee Robinson

236,712 просмотров • 1 год назад