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what the ffffffff i spent 12 hours building a digital crow brain that scans Solana and Robinhood Chain and gives me BUY / SELL / WAIT signals then i started trading them $100 → $1,362 CROWBRAIN. the idea is simple: crows are among the smartest birds on earth. they... use tools, remember faces, solve complex problems and have around 1.5 billion neurons inside a tiny brain i wanted to build a market system inspired by that intelligence every few seconds it: → finds trending and newly created tokens across both chains → checks price movement, volume and liquidity → removes pools with less than $25K in reserves → gives me BUY / SELL / WAIT with the reason behind every decision → records every check inside a public execution log → displays the process through an interactive crow brain there is no private group and no hidden signal feed. the system finds the opportunities, but i still choose which trades to execute 12 hours of building $100 → $1,362 and i decided to share the whole thing for free: repo: next: connect a real balance and let CROWBRAIN trade automatically until then, i’ll keep trading its signals manually and share the results here should i post every signal it catches live?show more

sopersone

4,758 subscribers

46,665 görüntüleme • 7 gün önce •via X (Twitter)

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22 Yorum

DexorynLabs profil fotoğrafı

DexorynLabs7 gün önce

Brilliant execution, truly impressive growth.

proAlishke profil fotoğrafı

proAlishke7 gün önce

what the ffffffff 😭 a crow is giving better signals than half my timeline

Gideon profil fotoğrafı

Gideon7 gün önce

README says no neural network, no execution. It's a moving average crossover. The gains are from you trading it manually

Create.Love.Be profil fotoğrafı

Create.Love.Be7 gün önce

Nice!

Montana X profil fotoğrafı

Montana X7 gün önce

12 hours to wrap SMA(5/20) in a crow and call it 1.5 billion neurons. The $1,362 is you. The brain is CSS.😂

sheemamoto profil fotoğrafı

sheemamoto7 gün önce

posting every signal live would make this way more interesting to follow

0xbobaa profil fotoğrafı

0xbobaa7 gün önce

a beautiful terminal

Brian Sweep & 🦈 profil fotoğrafı

Brian Sweep & 🦈7 gün önce

How do I connect, I don't get it. I need a guidance please, thank you

Vogel_OpenCreators profil fotoğrafı

Vogel_OpenCreators7 gün önce

Volatility rewards the boring checklist, not the impulse click.

Hrundel75 🐷 profil fotoğrafı

Hrundel75 🐷7 gün önce

omg

Paone profil fotoğrafı

Paone7 gün önce

wow congrats bro

Goaty profil fotoğrafı

Goaty7 gün önce

$100 → $1.3K from crow signals is actually insane

Stinker88 profil fotoğrafı

Stinker887 gün önce

👍👍👍

magsimich profil fotoğrafı

magsimich7 gün önce

100 to 1362 is wild

World Card profil fotoğrafı

World Card7 gün önce

that’s really nice

Mr X profil fotoğrafı

Mr X7 gün önce

Bullshit all these apps are full of shit …

Antonio Garcia profil fotoğrafı

Antonio Garcia7 gün önce

yes thanks for sharing this

Adam Politko profil fotoğrafı

Adam Politko7 gün önce

Scam drain ur wallet

monokern profil fotoğrafı

monokern7 gün önce

yo looks useful bro

Hashgraphian profil fotoğrafı

Hashgraphian7 gün önce

No, no you didn't

Gary Rueda Sandoval profil fotoğrafı

Gary Rueda Sandoval7 gün önce

Yes.

Murmur profil fotoğrafı

Murmur7 gün önce

Already x13, nice

Benzer Videolar

I GAVE A CROW BRAIN $50 AND LET IT TRADE BY ITSELF CROWBRAIN BOT is officially live. It is an autonomous trading bot inspired by the intelligence of one of the smartest birds on the planet. It scans new and trending tokens, analyzes price, volume and liquidity, and then makes its own decision: BUY → open a position SELL → take profit or exit WAIT → skip the trade The first experiment turned $50 into $420 in just five hours, but the algorithm later lost the profit because its risk controls were not strong enough. I fixed the main problems. The bot now takes partial profits, uses a dynamic stop-loss, limits position sizes, pauses after consecutive losses and avoids re-entering after a sharp price increase. The second public experiment starts today. Starting balance: $50 Public wallet: [AD4vTDFY9RfFCdTmLPqzmoo61R6kwqskLk3BHSgXmrbf] No additional deposits and no hidden trades. Every entry, exit, profit and loss will be verifiable directly on-chain. $50. One updated algorithm. Fully public trading. Let’s see whether a digital crow brain can survive the real market.

I GAVE A CROW BRAIN $50 AND LET IT TRADE BY ITSELF CROWBRAIN BOT is officially live. It is an autonomous trading bot inspired by the intelligence of one of the smartest birds on the planet. It scans new and trending tokens, analyzes price, volume and liquidity, and then makes its own decision: BUY → open a position SELL → take profit or exit WAIT → skip the trade The first experiment turned $50 into $420 in just five hours, but the algorithm later lost the profit because its risk controls were not strong enough. I fixed the main problems. The bot now takes partial profits, uses a dynamic stop-loss, limits position sizes, pauses after consecutive losses and avoids re-entering after a sharp price increase. The second public experiment starts today. Starting balance: $50 Public wallet: [AD4vTDFY9RfFCdTmLPqzmoo61R6kwqskLk3BHSgXmrbf] No additional deposits and no hidden trades. Every entry, exit, profit and loss will be verifiable directly on-chain. $50. One updated algorithm. Fully public trading. Let’s see whether a digital crow brain can survive the real market.

sopersone

11,753 görüntüleme • 6 gün önce

THE FIRST CROWBRAIN AUTONOMOUS TRADING EXPERIMENT IS COMPLETE I created a separate wallet for the system, deposited $50 and allowed the algorithm to execute its own signals for the first time. During the first five hours: $50 → $420 CROWBRAIN discovered tokens, analyzed price movement, volume and liquidity, generated BUY / SELL signals, and opened and closed positions automatically. But then the market changed while the algorithm continued trading under the same rules. It took profits too late, re-entered after major price moves and failed to stop after a series of losing trades. Eventually, the profit disappeared and the overall result of the experiment went negative. That is exactly why I am testing it publicly. It would be easy to show only the $50 → $420 moment and stay silent about what happened afterward, but the purpose of this experiment is not to produce one impressive screenshot. It is to build a system that can control risk and perform consistently under different market conditions. Now I am adding: → automatic partial profit-taking → a dynamic stop-loss → position-size limits → a cooldown after consecutive losses → a daily loss limit → protection against re-entering after a sharp price increase → market-regime detection The first test proved that CROWBRAIN can already find opportunities and turn $50 into $420. It also showed that finding good entries means nothing without disciplined exits and proper risk management. The experiment continues. After the update, I will fund a new public wallet with another $50, restart the algorithm and show every trade - successful or not. Let’s see what CROWBRAIN learns from its first serious mistake.

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sopersone

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I GAVE A CHIMP A TRADING DESK AND WIRED ITS BRAIN TO EVERY FILL Meet CHIMPBRAIN Chimpanzees are among the smartest animals on the planet Their prefrontal cortex helps with planning and decision-making the idea behind this terminal’s visual design A chimp with an oversized brain, connected to every simulated trade on the screen The whole interface follows one sequence: Signal detected → Cortex activates → Order routed → Fill confirmed Neurons light up, impulses travel across the brain, and a signal reaches the execution ledger as the trade settles Every fill sends a pulse back through the network while the balance and equity curve update together The demo session: 10.00 SOL starting balance 8 simulated fills +32.84 SOL realized profit 42.84 SOL final balance Market scanner on the left Equity curve and executions in the middle A chimp brain firing away on the right All wrapped in a brown and green palette with a custom mascot 8 fills One connected brain One very busy chimp

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Shelpid.WI3M

15,860 görüntüleme • 3 gün önce

MY ROBIN GROK MADE $9,041.64 IN LESS THAN A WEEK I gave Robin Grok a simple objective: take a small trading bankroll and keep finding opportunities in the Robinhood meme-coin market without me sitting in front of the screen all day. It started with just $1,047.28. From there, Grok began scanning price action, liquidity, volume and wallet activity across the market, constantly looking for where capital was moving next. The system tracks everything from market pressure to whale activity and even flags abnormal volume migration across connected venues. The interesting part is that Grok isn't just looking for coins that are going up. It watches BUY → ROUTE → EXIT signals, measures the pressure behind the move, and decides when the position is no longer worth holding. One trade can be opened while another is already being routed out, keeping the capital moving instead of letting it sit idle. The dashboard is now showing: $1,047.28 → $9,041.64 That's roughly an 8.6x increase in less than a week. And the numbers behind the system are running live: 72% buy pressure, 94.8% AI confidence, 248/250 nodes online, 99.98% data integrity, with the signal engine continuously processing market activity. The part I like most is that I don't have to tell it what to trade every five minutes. Robin Grok watches the market, detects the signal, routes the capital, updates the position and waits for the next opportunity

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Insomnia

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cvxv666

154,565 görüntüleme • 11 gün önce

My Grok Bot turned $1,000 into $3,900 after Elon Musk quoted me. Now someone created a token around what I’m building. I didn’t deploy it. The community did $GrokBottGame. CA: 6py6orPjXSy8GQDkBk2jvW8KQiFHXJ55C58QJ8sypump And strangely, it makes me want to push this experiment even further. I’m still building the trading desk. Still trading. Still breaking agents, rebuilding them and tightening every rule that controls my money. From now on I’ll share the progress publicly: trades, failures, upgrades, numbers and everything I learn along the way. Maybe this becomes more than a trading experiment. Maybe it becomes a community building the whole thing with me.

My Grok Bot turned $1,000 into $3,900 after Elon Musk quoted me. Now someone created a token around what I’m building. I didn’t deploy it. The community did $GrokBottGame. CA: 6py6orPjXSy8GQDkBk2jvW8KQiFHXJ55C58QJ8sypump And strangely, it makes me want to push this experiment even further. I’m still building the trading desk. Still trading. Still breaking agents, rebuilding them and tightening every rule that controls my money. From now on I’ll share the progress publicly: trades, failures, upgrades, numbers and everything I learn along the way. Maybe this becomes more than a trading experiment. Maybe it becomes a community building the whole thing with me.

Lummox

14,506 görüntüleme • 25 gün önce

MY GROK BOT AGENTS TURNED $40 INTO $6,700 IN 9 HOURS I built the desk because my worst decisions were rarely caused by missing information. they happened because I was trying to do seven jobs at once - find the signal, check the context, inspect the risk, watch wallets, enter, manage the position and remember why I was there so I stopped asking Grok Bot for isolated calls and made it the brain of a trading desk → SCOUT finds fresh signals → ANALYST checks context and market depth → RISK can kill any route → WHALE watches large wallet movement → SNIPER receives only cleared entries → EXIT manages the open position → LEDGER records the decision and its outcome Grok Core reads every desk, resolves conflicts and routes only what survives the chain. no agent can approve its own risk, and no specialist gets control of the whole account I gave the system a capped $40 mandate and one day to work the closing balance was $6,700 that does not prove the next run will look the same. one day can still be luck, and the full starting balance can disappear. strategy changes, new permissions and anything outside the mandate still wait for me the part worth keeping is the structure: seven narrow jobs, one shared memory and one brain keeping the desk synchronized while I am away the video shows that desk from the inside. the full build is in the article below ↓

MY GROK BOT AGENTS TURNED $40 INTO $6,700 IN 9 HOURS I built the desk because my worst decisions were rarely caused by missing information. they happened because I was trying to do seven jobs at once - find the signal, check the context, inspect the risk, watch wallets, enter, manage the position and remember why I was there so I stopped asking Grok Bot for isolated calls and made it the brain of a trading desk → SCOUT finds fresh signals → ANALYST checks context and market depth → RISK can kill any route → WHALE watches large wallet movement → SNIPER receives only cleared entries → EXIT manages the open position → LEDGER records the decision and its outcome Grok Core reads every desk, resolves conflicts and routes only what survives the chain. no agent can approve its own risk, and no specialist gets control of the whole account I gave the system a capped $40 mandate and one day to work the closing balance was $6,700 that does not prove the next run will look the same. one day can still be luck, and the full starting balance can disappear. strategy changes, new permissions and anything outside the mandate still wait for me the part worth keeping is the structure: seven narrow jobs, one shared memory and one brain keeping the desk synchronized while I am away the video shows that desk from the inside. the full build is in the article below ↓

88n77

30,406 görüntüleme • 11 gün önce

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Alan Oppenheim, MIT professor: "Jump Trading pays quants $650K to pull one real signal out of market noise. I wrote the textbook on that exact math and taught it for free." this free MIT lecture is the math the whole "quant edge" is built on, and almost nobody selling you a course will name it. the man teaching it wrote the signal-processing textbook every engineer on earth learned from, and he put the lectures online for nothing. here is the idea. a price chart is a signal buried in noise. most of what you see is random static, and hidden inside is a faint, repeating pattern with real mathematics for pulling it out. that is not a metaphor. jim simons was a codebreaker who did exactly this to enemy transmissions, then pointed the same math at the market and made a hundred billion dollars. none of it is new. oppenheim taught this in 1987, the math is older, and every lecture is free. same story i told in the article above. the edge was never a secret formula. it was knowing a market is a noisy signal, and having the tools to read it. here is what the gurus skip. the math to separate signal from noise is free and everyone has it. the edge is cleaner data than the next desk, and the discipline to trust a faint signal across thousands of trades instead of chasing the static. the filter is free. the patience to use it is not.

Rossst.03

281,905 görüntüleme • 2 ay önce

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs

𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠

83,254 görüntüleme • 5 ay önce

I OPEN SOURCED NOVAMP TERMINAL THAT MADE $100K+ FOR ROBINHOOD MEMECOIN TRADERS last memecoin cycle i was buying wrong tokens a lot. six figures in profit and i still have no idea how much i left on the table buying vamped tokens instead of the original. so this cycle i built the thing that tells you, and put it on GitHub for free. i came back with literally a cheat code for robinhood memecoin traders, and i am giving the whole thing away for free. NOVAMP, now open sourced on my GitHub. repo: [ here's what happens to you after u start using it: news breaks. a name catches. sixty seconds later there are 20+ tokens carrying that ticker or that name. you read number one's timeline. you buy number seven. it goes to zero and you write "rugged" in the group chat. nobody rugged you. you bought the copy, and the copy was never going anywhere. that is not a small leak. that is where most of retail's money on this chain quietly goes, and no chart on earth will ever show it to you. so i built the thing that tells you which one is real. paste a ticker or a name. it pulls every launch fighting over it and labels each one: > ORIGINAL - first, and clean > TAINTED - first, but the operator loaded it himself > CONTESTED - not first, but smart money is here anyway > VAMP - a later copy with nothing of its own > DEAD - nothing is trading CONTESTED is the one that pays for the whole tool. first is not the same as real. when the first launch carries a fat dev buy, a stack of wallets exempt from the opening tax, and a deployer with a hundred launches and zero graduations, being first only means he got there first with the bait. the money is on number three. you would never have looked. WHAT YOU ACTUALLY GET: > before you buy one command gives you the whole cluster: who was first, how many seconds behind each copy landed, top 10 concentration with the curve and the pool excluded, dev share, how many wallets were let past the opening tax, and whether wallets with a real track record are already in. every point of the score prints its own reason next to it, so you argue with a line and not with a number. > after you buy point it at your own wallet. it tells you which of your positions are copies and puts the original right next to each one. most people find out they are holding number six. better from a terminal than from the chart at 3am. > the whole chain rank deployers by how many copies they shipped and how many other wallets share their funder. one operator running eleven addresses stops looking like eleven people. > while you sleep put a name on a watchlist, get a telegram the second somebody copies it or the cluster flips to CONTESTED. it reads the ticker AND the token name, so a copy that takes a fresh symbol and keeps the name does not slip past. it folds cyrillic lookalikes, zero width characters, leetspeak, plurals, filler words. no key. no signer. no buy button. the build literally fails if signing code ever enters the repo. free, MIT, runs on your machine and not on mine. robinhood liquidity is back and you don't have to be exit liquidity this time. leaving the full repo below. i am developing it daily, more coming.

I OPEN SOURCED NOVAMP TERMINAL THAT MADE $100K+ FOR ROBINHOOD MEMECOIN TRADERS last memecoin cycle i was buying wrong tokens a lot. six figures in profit and i still have no idea how much i left on the table buying vamped tokens instead of the original. so this cycle i built the thing that tells you, and put it on GitHub for free. i came back with literally a cheat code for robinhood memecoin traders, and i am giving the whole thing away for free. NOVAMP, now open sourced on my GitHub. repo: [ here's what happens to you after u start using it: news breaks. a name catches. sixty seconds later there are 20+ tokens carrying that ticker or that name. you read number one's timeline. you buy number seven. it goes to zero and you write "rugged" in the group chat. nobody rugged you. you bought the copy, and the copy was never going anywhere. that is not a small leak. that is where most of retail's money on this chain quietly goes, and no chart on earth will ever show it to you. so i built the thing that tells you which one is real. paste a ticker or a name. it pulls every launch fighting over it and labels each one: > ORIGINAL - first, and clean > TAINTED - first, but the operator loaded it himself > CONTESTED - not first, but smart money is here anyway > VAMP - a later copy with nothing of its own > DEAD - nothing is trading CONTESTED is the one that pays for the whole tool. first is not the same as real. when the first launch carries a fat dev buy, a stack of wallets exempt from the opening tax, and a deployer with a hundred launches and zero graduations, being first only means he got there first with the bait. the money is on number three. you would never have looked. WHAT YOU ACTUALLY GET: > before you buy one command gives you the whole cluster: who was first, how many seconds behind each copy landed, top 10 concentration with the curve and the pool excluded, dev share, how many wallets were let past the opening tax, and whether wallets with a real track record are already in. every point of the score prints its own reason next to it, so you argue with a line and not with a number. > after you buy point it at your own wallet. it tells you which of your positions are copies and puts the original right next to each one. most people find out they are holding number six. better from a terminal than from the chart at 3am. > the whole chain rank deployers by how many copies they shipped and how many other wallets share their funder. one operator running eleven addresses stops looking like eleven people. > while you sleep put a name on a watchlist, get a telegram the second somebody copies it or the cluster flips to CONTESTED. it reads the ticker AND the token name, so a copy that takes a fresh symbol and keeps the name does not slip past. it folds cyrillic lookalikes, zero width characters, leetspeak, plurals, filler words. no key. no signer. no buy button. the build literally fails if signing code ever enters the repo. free, MIT, runs on your machine and not on mine. robinhood liquidity is back and you don't have to be exit liquidity this time. leaving the full repo below. i am developing it daily, more coming.

Oracle Boar

18,417 görüntüleme • 14 gün önce

Ray Dalio, founder of the world's largest hedge fund, on how he turned a trading idea into a system. this is the whole loop, in his words: "every time I would make a decision, I would go back and study: if I made that decision in these circumstances, how would it have worked in the past? and I would know the track record of that decision." then it becomes a rule: "I would program it into the computer... rather than just the one I would see, I'd dump in all of them, where do they exist anywhere in the world?" and the constraint most people skip: "the rules should be timeless and universal. because if it didn't work in a long period of time, I would need to understand why." a trading idea in your head is a feeling. tested across every instance in history, it's a system.

Ray Dalio, founder of the world's largest hedge fund, on how he turned a trading idea into a system. this is the whole loop, in his words: "every time I would make a decision, I would go back and study: if I made that decision in these circumstances, how would it have worked in the past? and I would know the track record of that decision." then it becomes a rule: "I would program it into the computer... rather than just the one I would see, I'd dump in all of them, where do they exist anywhere in the world?" and the constraint most people skip: "the rules should be timeless and universal. because if it didn't work in a long period of time, I would need to understand why." a trading idea in your head is a feeling. tested across every instance in history, it's a system.

Goshawk Trades

12,064 görüntüleme • 2 ay önce

I uploaded a fly brain and GPT-6 Astra into a Vector robot I bought on eBay Vector was supposed to be a desk pet. Now it has a reconstructed fruit fly nervous system running inside it. MaleCNS gives it 166,700 simulated neurons and 25.6 million connections. GPT-6 Astra gives it vision. Astra sees the room through Vector's camera - furniture, walls, doors, objects on the floor - and turns the visual scene into sensory signals. The fly brain processes those signals and chooses where Vector should go next. Astra sees. The fly brain decides. Vector moves. > No joystick > No preset route > No one manually telling it to turn left or right It started roaming around my apartment, stopping in front of furniture, changing direction, and reacting to things in its path. I bought it on eBay because it looked like a cute little WALL-E. Now it has a brain, eyes, and a body. And it keeps looking at me like it knows I’m the reason it exists.

I uploaded a fly brain and GPT-6 Astra into a Vector robot I bought on eBay Vector was supposed to be a desk pet. Now it has a reconstructed fruit fly nervous system running inside it. MaleCNS gives it 166,700 simulated neurons and 25.6 million connections. GPT-6 Astra gives it vision. Astra sees the room through Vector's camera - furniture, walls, doors, objects on the floor - and turns the visual scene into sensory signals. The fly brain processes those signals and chooses where Vector should go next. Astra sees. The fly brain decides. Vector moves. > No joystick > No preset route > No one manually telling it to turn left or right It started roaming around my apartment, stopping in front of furniture, changing direction, and reacting to things in its path. I bought it on eBay because it looked like a cute little WALL-E. Now it has a brain, eyes, and a body. And it keeps looking at me like it knows I’m the reason it exists.

kiruwaaaa

53,923 görüntüleme • 5 gün önce

$CROWBRAIN IS READY FOR ITS SECOND PUBLIC TEST The first experiment proved two things: the algorithm can find opportunities quickly, but without strict risk management, profits can disappear just as fast. I fixed the main problems by adding automatic profit-taking, a dynamic stop-loss, position size limits, a cooldown after consecutive losses and protection against re-entering after a sharp price increase. Now I am creating a new public wallet, funding it with $50 and launching CROWBRAIN in autonomous trading mode again. Starting balance: $50 Wallet address: [AD4vTDFY9RfFCdTmLPqzmoo61R6kwqskLk3BHSgXmrbf] Anyone will be able to verify the balance, open positions and transaction history. I will not hide losing trades or show only profitable moments - the entire experiment will be public. No additional deposits during the test. Just $50, the updated algorithm and the market. Let’s see what CROWBRAIN has learned from its first mistake and what it can turn this wallet into.

$CROWBRAIN IS READY FOR ITS SECOND PUBLIC TEST The first experiment proved two things: the algorithm can find opportunities quickly, but without strict risk management, profits can disappear just as fast. I fixed the main problems by adding automatic profit-taking, a dynamic stop-loss, position size limits, a cooldown after consecutive losses and protection against re-entering after a sharp price increase. Now I am creating a new public wallet, funding it with $50 and launching CROWBRAIN in autonomous trading mode again. Starting balance: $50 Wallet address: [AD4vTDFY9RfFCdTmLPqzmoo61R6kwqskLk3BHSgXmrbf] Anyone will be able to verify the balance, open positions and transaction history. I will not hide losing trades or show only profitable moments - the entire experiment will be public. No additional deposits during the test. Just $50, the updated algorithm and the market. Let’s see what CROWBRAIN has learned from its first mistake and what it can turn this wallet into.

sopersone

17,542 görüntüleme • 6 gün önce

Visualising how far Cardano has come. What you are seeing here is live on chain DEX activity as the chain syncs over the last hour. Real swaps, real transactions, and the resulting liquidity changes unfolding in real time. No simulations, no replays. Just the ledger behaving as specified, and me reading it directly. I also built a DEX battle view, showing swap activity across the DEXs I track over the same period. It makes something very clear. Competition on Cardano is real. Liquidity competes, routing competes, and execution quality matters. Watching DEXs contend for flow is a good signal that the network is being actively used. I have upgraded my arbitrage dashboard to pull swap execution, pool state changes, monitoring, and analytics into one place. Cardano’s determinism matters here. Every state transition I can predict, they are traceable, and verifiable. That is what makes this kind of application straightforward to build and reliable to operate over time. It is an extremely valuable architectural decision that Cardano gives to builders, and one that continues to pay dividends as systems scale and complexity increases. (Apologies on the other DEX's, I have these integrated but also some pending changes on an upgrade I am doing and not yet finishes so didn't want to include without reliable results) Please comment thoughts, I wanted to share behind the scenes on what is happening across Cardano.

Visualising how far Cardano has come. What you are seeing here is live on chain DEX activity as the chain syncs over the last hour. Real swaps, real transactions, and the resulting liquidity changes unfolding in real time. No simulations, no replays. Just the ledger behaving as specified, and me reading it directly. I also built a DEX battle view, showing swap activity across the DEXs I track over the same period. It makes something very clear. Competition on Cardano is real. Liquidity competes, routing competes, and execution quality matters. Watching DEXs contend for flow is a good signal that the network is being actively used. I have upgraded my arbitrage dashboard to pull swap execution, pool state changes, monitoring, and analytics into one place. Cardano’s determinism matters here. Every state transition I can predict, they are traceable, and verifiable. That is what makes this kind of application straightforward to build and reliable to operate over time. It is an extremely valuable architectural decision that Cardano gives to builders, and one that continues to pay dividends as systems scale and complexity increases. (Apologies on the other DEX's, I have these integrated but also some pending changes on an upgrade I am doing and not yet finishes so didn't want to include without reliable results) Please comment thoughts, I wanted to share behind the scenes on what is happening across Cardano.

Dave

11,374 görüntüleme • 7 ay önce

i built a tool that lets me never work again in my life it watches smart wallets on robinhood chain and finds the next runner before anyone else knows it exists not joking $100 → $2,640 in 41 minutes STAMPEDE. it watches wallets on robinhood chain the idea is stupid simple: a runner isn't new money. it's a herd of wallets leaving one coin and piling into the next. the chart moves after the herd. STAMPEDE sees the herd every few seconds it: → reads every trade on the robinhood chain launchpads (146,329 in one hour) → catches the move: one wallet sold coin A, then bought coin B, within minutes → counts the herd: 54 wallets making the same move in 8 minutes is a stampede. one wallet buying 9 times is noise → ranks every coin by how many wallets are running into it and how fast that's growing → draws it on a 3D map and flies the camera to the biggest herd → shows the wallets and the transactions under every number so you can check i'm not lying only the launchpad coins on robinhood chain for now, not the whole market runs on a laptop, zero api keys for the replay the video is a recorded replay of one real hour at 20x $100 → $2,640 in 41 minutes. the herd was already in, i was right behind it three of those back to back and $100 is $1,839,000 not joking should i post every stampede it catches here, live?

i built a tool that lets me never work again in my life it watches smart wallets on robinhood chain and finds the next runner before anyone else knows it exists not joking $100 → $2,640 in 41 minutes STAMPEDE. it watches wallets on robinhood chain the idea is stupid simple: a runner isn't new money. it's a herd of wallets leaving one coin and piling into the next. the chart moves after the herd. STAMPEDE sees the herd every few seconds it: → reads every trade on the robinhood chain launchpads (146,329 in one hour) → catches the move: one wallet sold coin A, then bought coin B, within minutes → counts the herd: 54 wallets making the same move in 8 minutes is a stampede. one wallet buying 9 times is noise → ranks every coin by how many wallets are running into it and how fast that's growing → draws it on a 3D map and flies the camera to the biggest herd → shows the wallets and the transactions under every number so you can check i'm not lying only the launchpad coins on robinhood chain for now, not the whole market runs on a laptop, zero api keys for the replay the video is a recorded replay of one real hour at 20x $100 → $2,640 in 41 minutes. the herd was already in, i was right behind it three of those back to back and $100 is $1,839,000 not joking should i post every stampede it catches here, live?

Argona

103,192 görüntüleme • 12 gün önce

I GAVE GPT-6 ASTRA AND MINARA ONE JOB: WATCH ALL 24 ROBINHOOD STOCK TOKENS UNTIL THE PRICE STARTS LYING -> THREE WEEKS LATER THE DESK THAT DOES IT IS RUNNING 24 tickers, 4,320 pool reads an hour, 103,680 a day and 84 gaps called, 95% of them closed. It's live and it's free: Why a Stock Token stops tracking the share it is named after: > A meme pair locks real shares inside a pool and the float on chain goes thin. > Minting and burning run on a schedule, so outside that window supply cannot answer demand. > After 4PM the oracle stands still while the pool keeps trading anyway. > The pool price drifts off the real price, and that drift is the arbitrage -- buy the cheap leg, short the rich one, wait for them to meet. > At 3AM nobody is watching any of it. THREE LAYERS, RUNNING AT ONCE: > GAP DESK holds all 24 pools against the real bid/ask mid every 20 seconds, calls the gap at 1.0%, doubles the call at 1.5%, prints both legs and the contract. > STONK MEMES watches the stock-paired meme pools that lock the shares, and flags the burst before the gap opens. > NIGHT SHIFT runs the board from the closing bell to the opening one, when the oracle is frozen and the pool is not. Under all three: > DEPTH refuses any pool holding less than $25K in reserves. SMCI got skipped four times this week and I let it > SCORECARD writes down every call and how it ended, including the four it got wrong THE WHOLE DESK ANSWERS IN TELEGRAM AT AMZN, this week. The pool ran 2.97% above the real share price and sat there for 81 minutes with the call open. A desk that does this on Wall Street is a room full of people and a market data bill with a comma in it. Mine is two public endpoints, one agent and a laptop that is not allowed to sleep. No insider feed and no private group. I cannot push a ticker into it any more than you can, because the depth floor does not care what I want. Open source, MIT, read-only on chain. There is no wallet in the bot and no signing anywhere in the code. The detector is open, the execution is yours. Next: one tap on a call opens both legs from your own Minara account, and the desk still never touches a key. The bell is just a sound. SEE YOU AFTER THE BELL ↓

I GAVE GPT-6 ASTRA AND MINARA ONE JOB: WATCH ALL 24 ROBINHOOD STOCK TOKENS UNTIL THE PRICE STARTS LYING -> THREE WEEKS LATER THE DESK THAT DOES IT IS RUNNING 24 tickers, 4,320 pool reads an hour, 103,680 a day and 84 gaps called, 95% of them closed. It's live and it's free: Why a Stock Token stops tracking the share it is named after: > A meme pair locks real shares inside a pool and the float on chain goes thin. > Minting and burning run on a schedule, so outside that window supply cannot answer demand. > After 4PM the oracle stands still while the pool keeps trading anyway. > The pool price drifts off the real price, and that drift is the arbitrage -- buy the cheap leg, short the rich one, wait for them to meet. > At 3AM nobody is watching any of it. THREE LAYERS, RUNNING AT ONCE: > GAP DESK holds all 24 pools against the real bid/ask mid every 20 seconds, calls the gap at 1.0%, doubles the call at 1.5%, prints both legs and the contract. > STONK MEMES watches the stock-paired meme pools that lock the shares, and flags the burst before the gap opens. > NIGHT SHIFT runs the board from the closing bell to the opening one, when the oracle is frozen and the pool is not. Under all three: > DEPTH refuses any pool holding less than $25K in reserves. SMCI got skipped four times this week and I let it > SCORECARD writes down every call and how it ended, including the four it got wrong THE WHOLE DESK ANSWERS IN TELEGRAM AT AMZN, this week. The pool ran 2.97% above the real share price and sat there for 81 minutes with the call open. A desk that does this on Wall Street is a room full of people and a market data bill with a comma in it. Mine is two public endpoints, one agent and a laptop that is not allowed to sleep. No insider feed and no private group. I cannot push a ticker into it any more than you can, because the depth floor does not care what I want. Open source, MIT, read-only on chain. There is no wallet in the bot and no signing anywhere in the code. The detector is open, the execution is yours. Next: one tap on a call opens both legs from your own Minara account, and the desk still never touches a key. The bell is just a sound. SEE YOU AFTER THE BELL ↓

slash1s

116,638 görüntüleme • 8 gün önce

I started winning a lot more trades when I realized waiting is part of the strategy. Most of my trading session is spent waiting. - Wait for price to reach my zone - Wait for the liquidity sweep - Wait for the market shift Only when everything lines up with my plan do I think about taking a trade. None of those things are in my control. I can't make price move faster. I can't force a setup to appear. All I can do is wait until the market gives me what I'm looking for. Some days I wait for hours to take one position. Some days I don't take one at all. I'm completely fine with that. The market will always give you another opportunity tomorrow. And the less pressure I put on myself to find trades, the better my decisions become. The money you're looking for comes from the trades you have the discipline to wait for.

I started winning a lot more trades when I realized waiting is part of the strategy. Most of my trading session is spent waiting. - Wait for price to reach my zone - Wait for the liquidity sweep - Wait for the market shift Only when everything lines up with my plan do I think about taking a trade. None of those things are in my control. I can't make price move faster. I can't force a setup to appear. All I can do is wait until the market gives me what I'm looking for. Some days I wait for hours to take one position. Some days I don't take one at all. I'm completely fine with that. The market will always give you another opportunity tomorrow. And the less pressure I put on myself to find trades, the better my decisions become. The money you're looking for comes from the trades you have the discipline to wait for.

The Trading Geek (Brad Goh)

15,478 görüntüleme • 1 ay önce

This is f*cking GOLD - I made CatBrain trade $50 → $1,000 in 7 days. This cat nearly gave me a HEART ATTACK. I wanted to see what would happen if a trading model used the wiring of a cat's cortex. Give it a chart, let signals move through the network, and turn the output into a decision. Sounds simple. Watching it hold through a drawdown? ABSOLUTELY NOT. → 65 cortical regions linked by 1,139 documented connections → Price charts feed into the model’s visual regions → Signals travel through the network to produce BUY, SELL or HOLD → Trading Pons tokens, with profits and losses feeding back into training The question that got me hooked: does the structure of the network actually change how it learns to trade? Apparently, nine lives weren't enough. He wanted FINANCIAL FREEDOM.

This is f*cking GOLD - I made CatBrain trade $50 → $1,000 in 7 days. This cat nearly gave me a HEART ATTACK. I wanted to see what would happen if a trading model used the wiring of a cat's cortex. Give it a chart, let signals move through the network, and turn the output into a decision. Sounds simple. Watching it hold through a drawdown? ABSOLUTELY NOT. → 65 cortical regions linked by 1,139 documented connections → Price charts feed into the model’s visual regions → Signals travel through the network to produce BUY, SELL or HOLD → Trading Pons tokens, with profits and losses feeding back into training The question that got me hooked: does the structure of the network actually change how it learns to trade? Apparently, nine lives weren't enough. He wanted FINANCIAL FREEDOM.

BuBBliK

73,471 görüntüleme • 4 gün önce

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 görüntüleme • 9 ay önce

Plenty of questions on the Filatex India trade. First of all, Filatex India had been on my radar for a long time. As swing traders, it’s a no-brainer to keep tracking stocks that have already made a strong move. I was doing the same and had also posted about it a few days ago. I had been tracking it closely over the last few days. The market hasn’t been great, but I had a good feeling about the trade, and since my trades were working, I wasn’t paying too much attention to the overall market. That’s something we technically have to do as traders—focus on our setups and execute them well. If you check my focus list for the day, I had only one stock on it: Filatex India. This is a small clip from my morning meetup session where I discuss the trade. Disclaimer: No buy/sell advice is provided in these sessions. Members come with their own setups, and we discuss and analyse them together every morning. There are no buy or sell calls given.

Plenty of questions on the Filatex India trade. First of all, Filatex India had been on my radar for a long time. As swing traders, it’s a no-brainer to keep tracking stocks that have already made a strong move. I was doing the same and had also posted about it a few days ago. I had been tracking it closely over the last few days. The market hasn’t been great, but I had a good feeling about the trade, and since my trades were working, I wasn’t paying too much attention to the overall market. That’s something we technically have to do as traders—focus on our setups and execute them well. If you check my focus list for the day, I had only one stock on it: Filatex India. This is a small clip from my morning meetup session where I discuss the trade. Disclaimer: No buy/sell advice is provided in these sessions. Members come with their own setups, and we discuss and analyse them together every morning. There are no buy or sell calls given.

Ankur Patel

13,415 görüntüleme • 12 gün önce