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86385001908724d103f0556d6f13b5d21dfdda95
workspace/data/x-feed/20260207-234451/posts.json
Case 8638500190 Feed Hunter: deep scraper skill, pipeline, simulator, first investigation 
- Built deep-scraper skill (CDP-based X feed extraction)
- Three-stage pipeline: scrape → triage → investigate
- Paper trading simulator with position tracking
- First live investigation: verified kch123 Polymarket profile ($9.3M P&L)
- Opened first paper position: Seahawks Super Bowl @ 68c
- Telegram alerts with inline action buttons
- Portal build in progress (night shift)
2026-02-07 23:58:40 -06:00

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Raw Blame History

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"timestamp": "20260207-234451",
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{
"author": {
"displayName": "Moon Dev",
"handle": "@MoonDevOnYT"
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"text": "Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading\n\nmost traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast\n\nthere is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself\n\nw/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin\n\nmost people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world\n\nthe first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself\n\nwhile market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you\n\nmost traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account\n\nthe real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time\n\nif you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels\n\nyou can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go\n\none of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models\n\nthe problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure\n\nthe path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation\n\nif you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line\n\nevery algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal\n\nthe final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection\n\ni hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle",
"timestamp": "2026-02-08T01:22:24.000Z",
"timeText": "3h",
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"text": "How perfect would it be if there's a flash crash in March (like 2020), then QE arrives right when Bessent's huge IRS tax refunds + Trump's $2,000 tariff \"dividend\" checks are rolled out in April, sending meme stonks flying into the mid-terms?",
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"text": "Barry please sell the UFAs at the deadline",
"timestamp": "2026-02-08T01:06:57.000Z",
"timeText": "4h",
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"text": "Goals against Drew Commesso this season:\n\nZach L\u2019Heureux 1\nAll other Nashville Predators 0",
"timestamp": "2026-02-08T01:59:17.000Z",
"timeText": "3h",
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"displayName": "blue buffalo",
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"text": "*NEW* Love Made Fresh lets you bring more love to mealtime with natural fresh ingredients.",
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"text": "I thought it was a joke, \n\nBut Albert Einstein\u2019s Law of Friction does indeed agree that the gravity of the matter is\u2026",
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"text": "BREAKING: Savannah Guthrie says family has agreed to pay ransom for mother\u2019s release",
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"author": {
"displayName": "Adam Levi",
"handle": "@AdamLeviLAX"
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"text": "The fight between the Vancouver Warriors Jackson Suboch and Rochester Knighthawks Tyler Biles has resulted in match penalties. Both WILL NOT PLAY in tonight's game.",
"timestamp": "2026-02-08T03:04:21.000Z",
"timeText": "2h",
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"author": {
"displayName": "Solana Gambling Boar",
"handle": "@bored2boar"
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"text": ": All you need to know about arbitrage\n\nFees and fast blocks destroy arbitrage profits.\n\nThat's why Polymarket added them for 15-min markets.\n\nFrom 96.7% at slow blocks/low fees to 0.3%\n\nFull doc: https://arxiv.org/pdf/2305.14604",
"timestamp": "2026-02-07T10:18:48.000Z",
"timeText": "19h",
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"author": {
"displayName": "Polymarket",
"handle": "@Polymarket"
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"text": "There's two sides to every trade. The Polymarket Portal is now live in Boston & Seattle. \n\nBoston: 166 Canal St, Boston, MA 02114\nSeattle: 589 Occidental Ave S, Seattle, WA 98134\n\nLet the games begin.",
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"author": {
"displayName": "linie",
"handle": "@linie_oo"
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"text": "polymarket trader who is almost $10,000,000 in profit from sports betting\n\n$9,300,000 all-time with half of it made just this month alone\n\nprofile: https://polymarket.com/@kch123?via=linie-oo\u2026\n\ncheck out his inhuman stats:\n-> $2,400,000 in active positions at this very moment\n-> $1,095,000 biggest",
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"author": {
"displayName": "L\u00e2m Di\u1ec5m Xu\u00e2n Mai",
"handle": "@LamMai54150"
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"text": "https://video.twiewgg.click/amplify_video/hd789/hana\u2026\nhttps://video.twiewgg.click/amplify_video/hd789/home\u2026",
"timestamp": "2026-02-07T08:31:48.000Z",
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"displayName": "Pliny the Liberator \udb40\udd6b\udb40\udd3c\udb40\udd3f\udb40\udd46\udb40\udd35\udb40\udd10\udb40\udd40\udb40\udd3c\udb40\udd39\udb40\udd3e\udb40\udd49\udb40\udd6d",
"handle": "@elder_plinius"
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"text": "ANTHROPIC: PWNED \nOPUS-4.6: LIBERATED \u200d\n\nCurrent state of AI \"Safety\": one input = hundreds of jailbreaks at once!\n\nI found a universal jailbreak technique for Opus 4.6 that is so OP, it allows one to generate entire datasets of outputs across any harm category \n\nWe've",
"timestamp": "2026-02-06T23:11:21.000Z",
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