Made $100K+ by building a simulation that predicts SPX... price movements before they happen. Fed 40+ years of SPX trading history into MiroFish (18k GitHub stars) and let AI reverse engineer every pattern. Now runs dozens of profitable trades. I have the exact step-by-step guide to build your own SPX prediction system. Giving it free for 24 hours. To get it: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so I can DM you) What you will learn: ✅ How to pull live SPX data with Alpha Vantage and Quandl ✅ Building a Python data pipeline that runs 24/7 ✅ Feature engineering (RSI, MACD, custom signals) ✅ Loading historical data into MiroFish simulator ✅ Multi-agent setup (macro strategist, earnings analyst, sentiment analyst) ✅ Running probability forecasts across market scenarios ✅ Trading logic for ES futures and SPY ETF ✅ Backtesting your model on real market history This is not prediction. This is loading decades of market data and letting AI find the patterns humans missed. Most traders guess. This system runs simulations. Comment "Money" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.show more

$400K From Financial Market Simulations on Polymarket. Onchain quants... using open-source tools to predict stocks. Full wallet proof. You need: Claude + laptop + 1 hour/day. I've made the exact step-by-step guide to replicate this simulation stack. Free for 24 hours. To get it: 1. Comment "OpenClaw" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) They trade Russell 2000, Dow Jones, SPX, Apple, Google, classic stocks but through Polymarket. Agent pulls data → runs research → builds dataset → simulates every scenario. Matrix-level view of how price actually moves. You Must Follow me Himanshu Kumar, so i can send you DM.show more

$25K+ profit daily from 1 wallet, with OpenClaw. I... have the exact step-by-step guide, giving it free for 24 hours. To get it: 1. Comment "OpenClaw" 2. Like and Retweet. 3. Follow me Himanshu Kumar ( So, i can send you DM) I ran a simple script last night with Claude Code. Pull on-chain data from Polymarket, sort by win rate on 15 minute BTC markets. 20 minutes later, 100s of wallets showed up. Most were losing money or barely breaking even. Then I spotted 1 address. 200+ trades daily, every single week profitable, timing so precise it looked robotic. Because it is. I fed the wallet address back into Claude Code. Asked it to reverse engineer the strategy. 20 mins later the full breakdown appeared on my screen. Here is how it works: Bot monitors Binance and Bybit every 100ms. Waiting for BTC volatility compression to drop below 0.08%. When it hits that level, it buys both Up and Down contracts at 25 to 35 cents each. Classic straddle play. 1 contract loses, the other rockets to a dollar. Entry at 30 cents means 3x to 4x return every time. Repeats dozens of times per day. Result: $13K to $25K profit daily from 1 wallet. No human intuition, no insider tips. Just an algorithm exploiting a gap in market mechanics. I searched to see if anyone else found this wallet. Turns out yes. There is a Telegram bot that auto-copies trades from wallets like this. I connected it to the same address. Every entry matched what my terminal showed. You can now copy-trade an algorithm in real time. That capability did not exist 12 months ago. Comment "OpenClaw" and I will send you everything. Must Follow me Himanshu Kumar to get the DM.show more

One of the best finance x AI workflows I've... ever built. It helped Claude print +$19,537 completely autonomously. This is my personal market Research Desk - and it took me weeks to build. Think of this as a fully local backtesting trading engine. You pick a market, a timeframe, and a strategy, and it runs that strategy against real historical price data to show you exactly how it would've performed. • It pulls real historical candles (crypto data straight from Binance, no API key needed, or your own CSV/stock data) • You pick from 400+ built-in strategies like moving-average crossover or RSI mean reversion, or bring your own logic • It shows a full interactive equity curve • Every single trade gets logged: entry, exit, P/L • It gives you the real performance metrics If you're not using AI in your trading, you're falling behind fast, and I think everyone should be building personal internal tools like this to elevate their portfolio.show more

YOSO ALPHA ACCESS ❤️ Alpha Access Giveaway I’ll be... sharing 50 Alpha access spots with the community To participate: ✅ Follow Yoso 👁️ - Social Prediction and The nazzy ✅ Like & Repost this post ✅ Tag 2 friends interested in prediction markets After the 24-hour it closes, send “YOSOALPHA” on Telegram: 👉 @nazyy0x Participants will be selected and given Alpha trading access Most prediction markets move slowly Yoso is experimenting with something different short-cycle, region-driven prediction markets Instead of only global headlines, markets can focus on what people actually follow locally Think narratives like: • Cricket discussions • Regional market sentiment Add daily trading cycles on top of that and the result is a more active and community-driven trading experience. Short cycles Frequent trading loops. More discussion around each market. That’s what makes Yoso interesting right now 📢 Official Community Invite access updates will also be shared here: - - - If you enjoy exploring new Web3 trading experiences early, this might be worth checking outshow more

🚀 My New Book is Here: Data Strategy (3rd... Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.show more

What if crypto research was as easy as chatting... with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠show more

I wrote a step-by-step guide to blocking AI bots... from harvesting your site, designed for developers and sysadmins. Over 90% of the sites I’ve reviewed in the last two months have had more requests from bot traffic than humans. AI bots are scraping your site for purposes like: ▶ building models off your data ▶ finding security vulnerabilities in your site ▶ setting up comparisons of your site and data vs your competitors I outline how to: 📍Sort out your AI bot strategy. 📍How to identify and track AI bots hitting your site. 📍What tools should you apply when asking bots not to scrape fails? 📍What immediate steps can you take in your robots.txt file to stop AI bots? ✅ So why is now the time to dig into this? It’s still early days for AI, and there’s a land grab going on for your data. Big tech, startups, and even governments are rushing ahead, and you’re playing without all the information you need. This gets you up to speed fast. Reply with “WTF AI Bots” follow me, and I’ll DM you the guide.show more

I found 7 free Polymarket trading bots on GitHub... for 7 different trading situations… Each of these bots comes with a detailed step by step setup and usage guide in English: 1. This bot includes 118+ ready to use strategies and tools for trading on prediction markets (Momentum, Binance-Polymarket latency, Penny Clipper, Smart Routing, Expiry Fade, DCA bots and more). Built by a Cambridge computer science student who won a hackathon with this trading bot. GitHub: 2. This bot automatically manages all your Polymarket limit orders to maximize liquidity rewards. GitHub: 3. A weather bot from a Chinese dev, that analyzes multiple sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the most accurate temperature data and generate a detailed weather report for a specific city and day. GitHub: 4. A bot that automatically searches for arbitrage opportunities between Polymarket and Kalshi. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, whale alerts, spread farming, sports trading and more… GitHub: 6. A smart money trading bot - it looks for the most successful traders in selected markets, filters them by Pnl + win rate, and then creates a list for automated copy trading. GitHub: 7. A large collection of 20+ free trading bots for prediction markets. GitHub: Every bot here has a Dry Run mode, so you can test it on real markets without risking any funds.show more

I found 7 free Polymarket trading bots on GitHub... for 7 different trading situations… Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Friendly (3-5 min setup) 1. A bot with 118 ready to use trading strategies and tools for prediction markets (Binance-Polymarket latency, Penny Clipper, Smart Routing, DCA bots, Momentum and more). It was built by a computer science student who later won a hackathon with this bot. You can also see this bot in action in the video below. GitHub: 2. This is a huge trading bot-toolkit that includes Polymarket-Kalshi arbitrage, copy trading, whale tracking, sports trading, spread farming and more. GitHub: 3. A Smart Money trading bot that finds top traders in selected markets, filters them by PNL, win rate and consistency to create a list for automated copy trading. GitHub: 4. A weather bot that analyzes multiple sources in real time, like weather forecasts, airport data and aviation observations (METAR + SPECI), to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A large collection of 30+ free trading dashboards and services for different prediction market platforms. GitHub: > Advanced Bots 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns, identifies the strategies he uses and shows how you can adapt them to your own trading. GitHub: 2. A bot that automatically manages all your Polymarket limit orders to maximize liquidity rewards. GitHub: All of these bots also support Dry Run mode (paper trading), so you can test them on real markets but without risking any funds.show more

🚨 Insider wallet alert: The same wallet that nailed... the exact timing of the US–Iran strike with a $500K bet just dropped $700K on a ground invasion of Iran. I built a step‑by‑step guide to track and copy‑trade insider wallets like this on Polymarket. Free for 24 hours: - Comment: '' Market '' - Like + Retweet - Follow Theo (so I can DM you) All you need: Claude + laptop + 1 hour/day. While you’re still “analysing charts,” this wallet is using AI and betting millions before headlines hit CNN. They don’t guess. They don’t hesitate. They move first—and win. You can keep watching from the side-lines… or learn how to move with them. Don't forget to bookmark and follow me Theoshow more

CA: 0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY Your smart, hands-free edge tool in the... crypto market. This powerful automated bot is designed to buy low and sell high with precision. It scans hundreds of coins in real-time, waiting for the right indicators—trend strength, volume spikes, price momentum, and bullish patterns—before entering a trade. Once in, it manages risk with dynamic stop-loss and take-profit levels, so your capital is always protected. Every trade is backed by a multi-layer confluence strategy, ensuring only high-confidence setups are executed. ✅ Advanced entry logic ✅ Fully automated buy/sell execution ✅ Built-in profit protection and cooldown filters ✅ Real-time alerts (Telegram/Twitter ready) ✅ JSON-based state memory for continuity ✅ Minimal setup, maximum performance ✅ Excludes low-quality coins automatically (e.g., BTC/ETH filters optional) ✅ Plug-and-play friendly — run it locally or integrate it into your system. ✅ Clean, professional trade alerts with price and PnL details ✅ Recovers automatically from connection issues or downtime Whether you’re a pro or just getting started, this bot helps you stay ahead of the market—24/7, emotion-free with pure mathematics. This bot has been in development for the last 6 months. I, Chronos, the developer behind it, have been testing for a while for the best configuration for a trading bot. I believe I have something good going on here. The bot automatically posts all the trades via IFTTT and X integration to its X account. Everything is automated. So how can people rent it, and how will it bring value to the project? Soon, the bot can be rented out via a cloud server. A customer must buy 30 USD worth of Memecoin_MANNY token (CA:0x172ae9e9b46770a70f479404d76e2f6561507011ef77a247fe3f58e7a5840a0d::manny::MANNY). After buying it and depositing it into a special wallet, he will be granted access to the bot. . The bot runs only on the backend — users interact with it via an interface (web app, Telegram bot, or API). A web dashboard and Telegram bot interface will be created. This lets users Start/stop their bot session See trade logs or results. Connect their API keys securely. Get alerts and updates The idea of all this is to offer a service but also bring value to the project. More bots will be developed. This is only the beginning. Cheers Chronos #python #memecoin_manny #spot #trading #bitcoin #eth #Binance #bybit #memecoin #VALHALLAshow more

8 free Polymarket Trading Bots on GitHub (from Beginner... Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.show more

Goldman pays $27,000 per seat for a Bloomberg Terminal.... I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:show more

My friend said you will never make real money... on Internet. A month later I sent him this profile. $38,700 profit in one month. He asked me to explain how. I did not reply. But I will tell you: NOAA is not the weather app on your phone. It is a federal supercomputer with 40 years of satellite data running atmospheric models 24/7. Forecast accuracy at 24-48 hours: above 94%. Meanwhile people on Polymarket open AccuWeather and guess. The gap between them is the profit. NYC, Saturday: NOAA says 93% chance of hitting 74°F. Polymarket is selling that bucket at 9 cents. Clawdbot spots that gap in seconds. Buys at 9 cents. Science is right. Market corrects to 54 cents. Sells. 6x return on weather without a single prediction. I gave the bot $100 and went to sleep. By morning it had already made 31 trades while I was resting. Dallas heatwave. Chicago cold snap. Miami humidity bucket. Every 2 minutes it scans 6 cities looking for where the market disagrees with science. Only buys below 15 cents. Only sells above 45 cents. Never more than $2 per position. Risk always under control. This is not trading. It is arbitrage between people with a phone and a NASA supercomputer. 3,100+ trades 79% win rate +$38,700 in one month starting with $100 My friend still thinks you cannot make real money on Polymarket. Clawdbot has already made money off his ignorance. I built the entire framework: NOAA API integration Weather bucket mispricing detection Automated position sizing 6-city continuous scanning Arbitrage execution layer The system runs 24/7. Finds where science disagrees with the crowd. Executes before the gap closes. No emotions. No predictions. Just data arbitrage. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the NOAA arbitrage system this week. Start with $100. Scale on evidence.show more

I stack Hermes agents with OpenClaw for financial research,... and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!show more

Every single person should build this crypto x AI... workflow. It took me weeks to get this right, and I can't wait to show you guys what I've been building! I started vibe-coding a market-trading/arbitrage/research bot, and the build is finally almost complete. It includes: • Research dashboard for stock analysis • Trading integrations (paper/backtesting) • Risk audits • Daily snapshot • Claude integrations Been chipping away over the past couple of weeks, and can already tell this will take my research to the next level. I'll have a full guide dropping on both YouTube and here on X soon for how to build your own!show more

Today's real crypto news killed me in a video... game 💀 This is Crypto Crash. I built it this afternoon with the ChainGPT AI skill for Claude Code. It's a Chrome dino-style runner, but every system in it is plugged into a live source. The ground you run on is BTC's actual 24-hour price chart. Hills are the pumps. Valleys are the dumps. When the market is bearish, you literally run downhill toward the FUD. The sky and the world's color palette flip based on the market's emotional state, scored 0 to 100 by the ChainGPT LLM reading today's headlines. Anxious days look like an orange storm. Euphoric days look like a parade. The obstacles are goblins, ghouls, wolves and a flying bird. Each one carries a real bearish headline pulled live from the ChainGPT News API. When one hits you, the game-over screen tells you exactly which piece of FUD ended your run. Three ChainGPT capabilities, woven into a single experience: the LLM, the News API, and live price data. The skill stitched them together in a single afternoon. I just had the idea. Here's what's interesting beyond the game itself. Web3 products have always had access to live data. What's new is that AI can now turn that data into experiences, environments and feedback loops on demand, with one prompt. ✅ A trading dashboard that gets more aggressive when fear spikes. ✅ An NFT marketplace whose homepage matches today's mood. ✅A token site that visibly reacts when its chain is under attack. ✅A streamer overlay that changes with every breaking headline. The plumbing is done. The hard part now is deciding what you build on top of it. Open Claude Code. The skill is one install away. /plugin install ChainGPT-org/chaingpt-claude-skillshow more

I'm quitting my job to go full-in on Claude.... Just Asked it to: Analyze mispriced Polymarket markets for arbitrage opportunities and find wallets using it to copy. Turned $2K into $12K overnight. Monitored 1,000+ wallets. I realized something fast. There are arbitrage bots I can't beat without code knowledge. But I can find them. And copy them. Claude built a monitoring terminal and connected it to a Telegram copytrading bot. It's not a script. Not even a bot. It's an AI agent that improves with every wallet it finds. Fetches wallet behavior. How it trades. Arbitrage patterns. Position sizing. Timing. 70% win rate. 7 wallets copytrading right now from 500+ monitored. Bot never pauses. Never gambles. Just math and profit. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment "cash" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM youshow more

PREVIEW: I was invited to a press preview of... Assassin’s Creed Black Flag Resynced in Paris, back in April, as I previously mentioned, and I played ~3 hours🚀 Here are my impressions: 🎞️Visuals & Performance: being a remake, the visuals are quite well upgraded, making the most of modern tech and the beauty of the setting, creating a breathtaking atmosphere ✅Stunning environment ✅Dreamy natural beauty & grounded world ✅Photorealistic character models ✅Smooth animations ✅Sharp resolution ✅Runs at 60fps 🕹️Gameplay & Upgrades: The game is a faithful remake, with new gameplay systems, along with enhancements to the original formula ✅New gameplay systems ✅Faithfulness is the main priority ✅Enhanced parkour (still faithful) ✅Manual jumps and side ejects ✅Seamless exploration of cities ✅Zip-lines added ✅Dynamic weather ✅Brand new content expanding narrative ✅Quests with new secrets ✅Original modern day replace with rifts ✅Rifts explore “what if” scenarios ✅6 hours of extra gameplay ✅3 new recruitable officers ✅New storylines for the new officers ✅New chapter to play as Robert Mena ✅Extended endings for iconic characters ✅Hideout side quests ✅New collectibles ✅Forts modernized with new content ✅New voice lines for activities ✅New islands with rewarding secrets ✅New world moments ✅New content for the hideout ✅History of the villa explored ✅Heated shots new naval weapon in seq 3 ✅Explosive fire barrels w/wider effect ✅Swivel gun can now be manually aimed ✅Rebuilt combat system rewarding to skill ✅No skill trees, all unlocks from the start ✅Enemies now have defense meter ✅Meter is depleted with a perfect parry ✅New perfect parry depends on weapon ✅Heavy strike (high damage/wide area) ✅Shove to wall/ground > new take downs ✅Stealth inspired by Shadows ✅Crouch option added ✅Visibility affected by day/night & weather ✅Whistle/breaking things blow your cover ✅Rope dart unlocks in sequence 3 ✅Ambient dialogue leads to new quests ✅Raise and lower your hood option The new enhancements make the game far more entertaining compared to the original, except for one controversial change of bit having Hidden Blade combat, except in stealth assassinations/take downs Everything else effectively elevates the original design and makes gameplay either feel just as good, or more refined 🧬Changes: with this remake comes a few elements that were removed from the original, which may upset some players ✅Menus have been revamped and they don’t feature the DNA sequence tracker ✅Difficulty can be tailored with much more detail from the menu ✅Switch between and choose your favorite Sea Shanties to be performed by your crew ✅No hidden blade combat. The Hidden Blade is mainly used for stealth take-downs ✅No present day segments. I was informed that it will be replaced with new moments that explore Edward’s past with his wife, along with some “what if” scenarios like Edward siding with the Templars, for example, likely related to Juno’s involvement in the original narrative 📜Thoughts: While the demo I played featured only a portion of the map, Resynced has potential to replace the original as the definitive experience of Edward Kenway’s story I also wasn’t able to experience any of Rifts that replace the modern day, so for me, as a fan of the series’ lore and present day since 2007, the absence of a traditional modern day is the only let down that prevents me from fully replacing the original with it, as present day and sci-do elements are the DNA of the franchise and what makes it stand out It would also be great if mission replay is added later, a feature the OG had by default, like its predecessors That said, everything else very much elevated what was in the original, which made going back to replay it show how dated it feels by comparison I look forward to the final game, and to see future games inherit this formula of a defined protagonist, focused progression and no RPG elements😎show more

Met my girlfriend's parents for the first time. Her... dad asked what I do for work. I said I build trading systems. He said like Wall Street? I said no. 6 AI agents. They work while I sleep. He laughed. So robots are making you money? I did not argue. I opened my laptop. Showed him the terminal. 6 agents running. 47 mispriced markets caught in the first week alone. His face changed. That is not gambling. That is automation? Exactly. Then I showed him how it works. Built the whole thing in 6 hours. Agent 1: Monitoring Runs 24/7. Watches Polymarket for mispriced markets. Spots an anomaly. Writes to memory and pings me on Telegram instantly. Agent 2: Research Parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I check my phone. Agent 3: Trading Reads the research agent memory. Sees the market has not reacted yet. Acts. Execution tool in gateway mode with a whitelist. No full access on a live server. Agent 4: Watchdog Heartbeat every 5 minutes. Monitoring running. No errors. Positions up to date. Something breaks. Immediate Telegram message. All of this. One Gateway. One config file. Isolation via per-agent scope. The token trick: stopped dumping everything into one file. Critical rules in bootstrap. Markets, patterns, past trades in memory. Semantic search pulls it when needed. Token spend dropped 3x. From $0.40 per request to $0.13. First week running: → 47 mispriced markets caught before Polymarket adjusted → Average entry edge 8 to 12 cents per position → Watchdog fired 3 times and caught a broken RPC before it cost me anything The whole system is plain text files. Open an editor. Change one line. Agent behaves differently. No deploy. No build. Her dad went quiet. Then he asked can you teach this? Her mom asked for the setup guide. I built the entire framework. Six agents. Full deployment. Memory architecture. Telegram alerts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Claude" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the 6-agent system this week. Start with $200. Scale on evidence.show more