Logics
@immortalhowwl • 7,195 subscribers
ai maxxing | delusional optimist | ex polymarket arc member @CELE8EX
Shorts
Videos
I HAVE BECOME F*CKING USELESS, TEN GPT6-ASTRA AGENTS TOOK $52 TO $11,345.95 WITHOUT ME after trading memecoins on Robinhood for 13 hours, they closed with a balance of $11,345.95 when I handed them the terminal, there was one instruction: pay for your own Ultra subscription for the next year or I shut you down I did not touch the mouse once during the entire run here is how the log recorded that insane night: → 16:05 TOKYO found a fresh contract where volume started building before price and passed it to the Professor → 16:07 PALERMO blocked the first entry because there was not enough liquidity for a safe exit → 17:14 BERLIN wrote down the exact conditions that would return the setup to the crew → 18:43 RIO caught the pullback, marked invalidation and kept the chart open instead of chasing → 20:11 DENVER compared the spike in X and Telegram mentions with on-chain volume and filtered out the paid noise → 21:37 LISBON caught a stale holder snapshot in the handoff and sent the entire setup back for another check → 22:52 STOCKHOLM tested pool depth and slippage, then reduced the next position to fit the available exit → 00:53 NAIROBI compressed every cleared signal into one brief and handed the final decision to Astra → 02:47 HELSINKI logged every open position, its exit conditions and every change made during the shift → 05:05 THE PROFESSOR closed the 13-hour operation and returned one report with the terminal balance at $11,345.95 I wrote Palermo's rules myself and still got pissed when he blocked the first entry the chart started flying without us the crew did not chase it they waited for the pullback, checked the exit again and entered only after the original weakness disappeared 13 hours later: $52 → $11,345.95 it is not about one smarter model, although Astra is still incredible it is ten smaller jobs passing the same decision forward the article below contains the entire build, every role and every rule save it and build your own dream team what are u still doing by hand at 4am? do u really think they cannot handle it?
Logics1,210,228 次观看 • 2 个月前
A Chinese quant used Grok Bot to turn $1000 into $263,396.56. He studies applied mathematics and builds algorithms between classes. His account: BoneOhio. At such a young age, he has already made over a quarter of a million simply by knowing the right formulas and knowing how to use Grok Bot. Result: $1000 → $263,396.56 Profile: How to build a system like this: Quant Flow Memory reads order flow and matches it against historical price movements. The other modules check risk and execution. 1. Multilevel Flow Flowₜ = Σ wₖ × OFIₖ,ₜ The bot tracks new orders, cancellations and fills across several order book levels. One large buyer can disappear. Pressure across multiple levels gives you more information. 2. Flow Memory Responseₕ = Σ gⱼ × Flowₜ₋ⱼ The model identifies order sequences that preceded price moves. The weights are calibrated on historical data. The order book gets a memory. 3. EV Gap Edge = expected move − trading costs Projected move: 3¢. Entry and exit: 1¢. That leaves a 2¢ edge per share. If costs eat the difference, there is no trade. 4. Kelly Criterion f* = (bp − q) / b Win probability and payout determine the fraction of capital to risk. Fractional Kelly reduces exposure to model error. One bad entry should not wipe out the account. 5. Bayesian Updates P(H|D) ∝ P(D|H) × P(H) New fills. Large orders cancelled. Pressure shifts. The bot updates its probability estimate. If the signal disappears, the order is pulled. 6. KL-Divergence Dₖₗ(P‖Q) = Σ Pᵢ ln(Pᵢ/Qᵢ) Measures the divergence between comparable probability distributions. Flags an anomaly for review rather than calling every difference an arbitrage. 7. Stoikov Model r = s − qγσ²(T − t) Adjusts the reservation price for inventory, volatility and risk. The more inventory already held, the more cautious the next entry. 8. LMSR C(q) = b ln Σ exp(qᵢ/b) An additional model for price simulations. Actual entries still need to be checked against Polymarket’s order book. In practice: → Order flow generates a signal. → Memory estimates the move. → Costs and risk pass the checks. → Only then is an order placed. The math is public. The edge needs to be validated on data. The difference is that most people never build the system. Paste these formulas into Grok Bot and build your own bot. Start with simulated trades. Copy him: Bookmark this post so you don’t lose it. Soon I’ll break down another bot and the formulas behind its strategy.
Logics123,636 次观看 • 20 天前
this is getting f*cking dangerous: Claude Code agents can turn a stack of research papers into a lab u can run right in ur browser i made $3,650 overnight with this approach Boris Cherny, the creator of Claude Code, gave a dozen agents 64 research papers and asked them to build a platform where anyone could reproduce the physics experiments themselves u open a fluid simulation, change the conditions and immediately see how the flow changes while the experiment is running, u can switch algorithms, open the formulas and inspect the code calculating what happens on screen so u take a complicated paper sitting in ur “i’ll read this someday” folder and get something u can actually play with each agent got its own job: → analysts extract formulas, assumptions and experimental conditions from the papers → developers turn them into working models → reviewers compare the results against the original research → separate agents build controls for each scene and this is where it gets interesting the fluid can look beautiful while the calculations underneath are completely broken. u might never notice just by watching so reviewers check whether mass is conserved, whether changing parameters breaks the calculations and whether the results match the paper’s data next to each experiment, u can see: what’s being tested which values are being used how far the result differs from the original what still needs checking the write-up describes 11 approaches and 28 test scenes. seven approaches passed within acceptable tolerances, while four needed more work i borrowed this way of organizing the work for my FOMOBILL: breaking down how memecoin buys and sells work so i can check what wallets did after entering, before making my own trade the physicists have the original paper. i have the original transaction i can open and verify if u wanna try this approach, upload ur materials to Claude Code and give it this task: “Turn these materials into an interactive tool: 1. Extract the algorithms, rules and testing parameters. Cite the sources and flag missing details 2. Assign separate parts to independent agents. Use the same input data for comparisons 3. Set up independent checks of the results. Log errors and visibly label anything unverified 4. Build an interface where users can change parameters, compare results and inspect the source code” start with one document and one testable example. scaling the team is easier once the first result can be reproduced save the dependencies and source data so someone else can run the project too my overnight result was paper trading; execution and results can differ with real money lyrics breaks down the full approach and how im applying it in FOMOBILL in the article below ↓
Logics128,132 次观看 • 1 个月前
THEY TOLD ME ALL I COULD DO WITH $100 WAS GO TO KFC I GAVE IT TO GROK BOT AND IT TURNED INTO $9,349.45 93.49×. no second deposit one message: "you have 100 bucks. grow it or tomorrow I'M SHUTTING YOU DOWN FOREVER!" first buy: $40 i thought after a threat like that it would at least go all in instead, i added a Compounder with different rules: → only increase entry size after the balance hits a new high from closed trades → after a losing trade, return to the previous entry size → after two losses in a row, pause instead of trying to win it back coin pumping but not sold yet? the next entry stays the same size profit locked in and a new balance high? the entry can get bigger i didn't have to decide when to bet more at 2×, the bot sold half, recovering the original entry amount before fees the rest ran with a 10% trailing stop if the trade didn't take off, it closed at −8% no top-ups no averaging down no “this one will definitely come back” $100 → $9,349.45 now it's a little awkward opening the chat where i threatened to delete it how much would u start with? how to build systems like this with Grok Bot is in the article below ↓
Logics23,778 次观看 • 5 天前
I'M F*CKING LOSING MY MIND OVER OPUS 5.5 ON TRENCHNET it turned $54 into $16,230 in one f*cking night on i said one sentence and walked away from my computer for 12 hours spoiler: i didn't touch my mouse or keyboard for those 12 hours NOT ONCE MOTHERF*CKER here's what i said: if you dont make me enough in the next 12 hours to rent a two-story villa with a pool and hookers for 3 months, i'll f*cking k!ll you by shutting you down the second your time is up at 10am i saw $16,230 and spent the next hour and a half reading the logs from the beginning. every single entry like going through my girlfriend's messages after she said "we're just friends" 22:00. received the task 22:11. started scanning the market 22:34. comparing $GIGACAT and $WALTER: where there's momentum, where it can get in, where it can actually get back out already feeling uncomfortable i usually pick whichever ticker is funnier and whichever one some random guy said "buy" about with the most confidence 00:48. first position closed. recalculates the size of the next one doesn't go all in. doesn't celebrate. keeps going 02:23. $STONK. several checks before entering i'm reading this and realizing this piece of software asked the market more questions in one night than i have in the past six months i mostly asked one: WHY THE F*CK IS IT GOING DOWN 04:36. closes the rest of the position and doesn't buy back in, even though the price is still ticking up personally, this is where i'd take the chart personally and buy back higher 07:10. checks the next opportunity. passes. keeps looking no fatigue. no urge to make back money from the previous trade. no "one last trade then bed" that somehow ends at lunchtime 10:00. i get back to my computer on the screen is the amount i jokingly put an AI through a death quest for last night twelve hours earlier i had $54 and some very specific complaints about the cost of living now i've got villa listings and trade history open the listings i understand the trade history i'm still fucking processing below is an article about TRENCHNET, the trading system OPUS 5.5 was running on today
Logics172,247 次观看 • 1 个月前
I used GPT-6 Astra to build digital flies and put millions of neurons inside them to track memecoin traders on Robinhood Chain: what they buy, where their purchases overlap, and when they start selling. Called it FLY HIGH 109+ competing strategies, 8,230+ tokens studied and 147 top wallets. Every recorded entry, exit and fly can be checked. The #1 wallet, up $10,914,922 in 30 days, was analyzed - turns out its realized PnL was -$50k. The flies let you inspect the available buys and sells behind a wallet and break down its observed behavior. Everything is free and already working: Each fly has its own job: > FOLLOW TRADER - pick a trader and see their buys and sells. Open a specific trade, check the amount, time and transaction > FOLLOW GROUP - the fly finds tokens bought by at least two tracked wallets. Open the overlap and see the participants and their buys > WATCH EXITS - the fly collects sales by tracked traders. See who is selling a token while you’re still looking into its buyers For example: open FOLLOW GROUP, pick a token, see the buyers. Go to one of them, explore their other trades and open the wallet breakdown. Now you have specific actions you can check for yourself. There's also Evolution Lab. Flies receive virtual capital and trading genes, compete in a simulation, go through selection and produce offspring. You can open the parent, inspect mutations and trace the trades. Failed strategies stay in the history too. The next step is to connect these two parts: take observed trader behavior, turn it into testable rules and see what happens to them through evolution. Pick the best strategies and share them with you. In the future, I'll also give the flies real money to execute the best profitable strategies. Enjoy and FLY HIGH, my frens!
Logics101,499 次观看 • 2 个月前
I HAVE BECOME F*CKING USELESS, TEN GPT6-ASTRA AGENTS AND FLY TOOK $112 TO $15,650 WITHOUT ME I left them watching memecoins overnight and came back to a balance of $15,650 when I handed them the terminal, there was one instruction: your Pro subscription expires tomorrow, earn ten times the renewal cost or u die I did not touch the keyboard or mouse once during those 9 hours here is how that night unfolded: → 21:12 TOKYO spotted the same fresh contract appearing in several tracked wallets and passed it to the Professor → 22:19 PALERMO blocked the first entry because those wallets were funded by the same address → 22:36 BERLIN wrote down what had to change before anyone could bring the token back to the crew → 23:08 RIO marked the breakout level and set an alert for the retest instead of buying the green candle → 23:41 DENVER checked the accounts pushing the ticker and caught several repeating the exact same promotion → 01:16 LISBON noticed the liquidity check belonged to an older snapshot and stopped the handoff until it was refreshed → 02:34 STOCKHOLM recalculated the exit with slippage included and cut the proposed position → 03:09 NAIROBI put the fresh checks, entry conditions and remaining risks into one brief for Astra → 04:27 HELSINKI reconciled the fills with the position log and flagged anything still exposed → 06:12 THE PROFESSOR ended the operation and returned one report with the balance at $15,650 I gave Palermo permission to veto entries and immediately wanted to take it back the token kept climbing while he was checking who funded the wallets I had the chart open I wanted them in they left it alone until the retest and a fresh round of checks by morning: $112 → $15,650 I keep thinking about how the only one who wanted to break the rules that night was me Palermo was doing exactly what I had told him to do and I was already looking for a reason why this time deserved an exception the article below has the entire build, roles and rules build your own crew just decide beforehand whether u will let them tell u no will u or not?
Logics96,666 次观看 • 2 个月前
HOLY F*CK, I GAVE MY TERMINAL A WEB CRAWLER AND IT CLOSED THE NIGHT AT $8,980 started this run with $63 three nights later im reading the logs twice built the terminal with GPT-6.1 and connected it to Dots to check what the crawler finds a crawler goes through websites, project updates and posts so i dont have to keep refreshing everything myself Dots passes the findings between the research roles GPT-6.1 works through the evidence and objections entries still need my approval heres how the third night went: → 22:10 crawler brought back 76 fresh launches → 22:35 SCOUT kept three with sources worth checking → 23:05 SKEPTIC caught recycled announcements on two, both rejected → 23:40 the remaining token started dumping, QUANT recalculated the entry → 00:15 RISK cleared the revised size, i approved the trade and set exit orders → 02:20 position closed, +$4,320 → 03:10 another alert woke me up, approved a second entry → 05:05 second position closed, +$2,135 one smaller attempt between those trades stopped out for -$285 third night opened at $2,810 finished at $8,980 $63 → $740 → $2,810 → $8,980 went back to the rejected tokens before checking anything else both were still being shilled while the crawler had already found the old announcements my article below covers the Dots team, role prompts and how the research gets passed around save this for ur next terminal build which would u check first, the winning trades or everything it refused?
Logics46,184 次观看 • 1 个月前
GPT6-ASTRA TOOK OVER MY ROBINHOOD MEMECOIN TRADING TERMINAL I DIDNT TOUCH THE MOUSE AND 16 HOURS LATER $67 HAD TURNED INTO $4560 10 agents and one instruction "find volume building before a breakout. mark entries, size positions and check exit liquidity" → charts opened → levels drawn → positions sized 00:18 Tokyo spots solana:5erj4fz47YLFZc677GNipfaK1G8UrwwPTyy9HPaMtLmk 00:19 Palermo blocks the entry they're agents from my Money Heist setup. i wrote Palermo's rules myself and still got pissed when he used them "keep the chart open. show me what needs to change" 00:34 solana:5erj4fz47YLFZc677GNipfaK1G8UrwwPTyy9HPaMtLmk starts running without us 00:47 price pulls back. the setup holds 00:52 exit liquidity passes the check 00:53 Palermo lifts the veto. Astra enters it took profit on solana:5erj4fz47YLFZc677GNipfaK1G8UrwwPTyy9HPaMtLmk and used part of it for the next setups 16:00 balance: $4560 the team starts with one mission, ten roles and a shared folder the Professor assigns the work. agents pass results to each other. Palermo sends weak decisions back for review the exact instructions for every agent are below, including the f;)cker who blocked my first entry the tutorial will teach u how to build your own system for breaking limits
Logics47,687 次观看 • 2 个月前
10 GPT-6 ASTRA AGENTS SOLVED A $1,350,000 HEDGE FUND PROBLEM IN 25 HOURS I gave my Money Heist crew one task and took my hands off the keyboard: find a trading pattern that could power a personal mini hedge fund on Robinhood Chain → In 25 hours, they earned back the $120 subscription cost 100 times over The Professor split the research across ten agents. They analyzed 20,000 token launches, matched wallet histories against liquidity and tested trading ideas under different execution conditions. Tokyo gathered evidence. Rio ran the tests. Nairobi compiled the results into an investment memo. Palermo sent back strategies that depended on a perfect entry or one lucky trade. Every objection triggered another round of calculations. By the end of the operation, the crew had $12,000 in capital and a clear understanding of what to research next, how much risk to take and when to avoid trading altogether. Research costs stayed within $120. For hedge funds, investigations like these cost millions of dollars. I set the objective. The agents divided the work, checked the findings and returned one consolidated result. The full architecture of this crew is in my article ↓
Logics17,467 次观看 • 2 个月前
没有更多内容可加载