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For memecoins traders, this is pretty much the only tab you need open throughout the day.. i just went to Geckoterminal and set my mega filter once based on the kind of coins i want to trade. mine only shows coins launched within 48 hours, with over $30k liquidity,...

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Axel Bitblaze 🪓

128,923 subscribers

85,550 次观看 • 5 天前 •via X (Twitter)

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Most traders aping into Robinhood Chain right now skip every step that actually matters. Early network = real activity mixed with pure noise, and most of these tickers won't exist in a month. I don't skip the filter just because it's early. My basic setup would be simple. ➢ Add the network first. ➢ Bridge funds through ➢ Then I would open GeckoTerminal before touching any token Chain view first, then pair by pair: • where volume is actually building • which pools have real liquidity • whether tx count is alive • what the chart looks like • what GT Security Score shows Not a way to make risky trades safe. Just a cleaner first filter before the timeline starts selling you every new ticker:
0:44

Most traders aping into Robinhood Chain right now skip every step that actually matters. Early network = real activity mixed with pure noise, and most of these tickers won't exist in a month. I don't skip the filter just because it's early. My basic setup would be simple. ➢ Add the network first. ➢ Bridge funds through ➢ Then I would open GeckoTerminal before touching any token Chain view first, then pair by pair: • where volume is actually building • which pools have real liquidity • whether tx count is alive • what the chart looks like • what GT Security Score shows Not a way to make risky trades safe. Just a cleaner first filter before the timeline starts selling you every new ticker:

AlΞx Wacy 🌐

17,305 次观看 • 1 个月前

How I Pick Tokens Using $PONS as an example, I’ll show you how I select tokens with GeckoTerminal Everything starts with setting up the filters in the Trending section Here, I filter for active tokens with genuine holders and strong upside potential Next, I check the number of transactions, the top 10% holder concentration, and analyze what kinds of wallets are holding the token Another thing I pay close attention to is GeckoTerminal’s GT Score. It saves a lot of time by combining both onchain and off chain metrics into a single indicator One of my favorite features is the holder timeline. It’s incredibly useful for tracking holder growth over time and pinpointing exactly when a pump started as new holders began entering I also use Bubblemaps to identify wallet clusters, discover new wallets to add to my analytics database, and monitor top traders For entries and exits, I often rely on the Gann Fan and Fibonacci levels. I recommend hiding the chart background and adding extra Fibo levels, such as 0.886 At the end of the day, everything comes down to analytics and that’s the key to consistently staying ahead of the market
3:02

How I Pick Tokens Using $PONS as an example, I’ll show you how I select tokens with GeckoTerminal Everything starts with setting up the filters in the Trending section Here, I filter for active tokens with genuine holders and strong upside potential Next, I check the number of transactions, the top 10% holder concentration, and analyze what kinds of wallets are holding the token Another thing I pay close attention to is GeckoTerminal’s GT Score. It saves a lot of time by combining both onchain and off chain metrics into a single indicator One of my favorite features is the holder timeline. It’s incredibly useful for tracking holder growth over time and pinpointing exactly when a pump started as new holders began entering I also use Bubblemaps to identify wallet clusters, discover new wallets to add to my analytics database, and monitor top traders For entries and exits, I often rely on the Gann Fan and Fibonacci levels. I recommend hiding the chart background and adding extra Fibo levels, such as 0.886 At the end of the day, everything comes down to analytics and that’s the key to consistently staying ahead of the market

Hardy

13,919 次观看 • 1 个月前

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen
49:49

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,242 次观看 • 5 个月前

KillaLabs is officially open for 48 hours only. This might be my last opening this year, with the next one in Q1 2027. Only a few spots remain after yesterday's reservations. You'll get: • 7 custom Pivot Indicators (10+ pivots per month) • My complete methodology (50+ videos) • 2x 40+ page PDFs • Access to the private discord If you want access before enrollment closes, send me a DM. If I don't get back to you in time because of the volume of DMs, please reply to this tweet. Take a look at one of the 7 $BTC pivots featured below and a preview of what's included. There's only 48 hours left to join, and only a few spots remain.
3:23

KillaLabs is officially open for 48 hours only. This might be my last opening this year, with the next one in Q1 2027. Only a few spots remain after yesterday's reservations. You'll get: • 7 custom Pivot Indicators (10+ pivots per month) • My complete methodology (50+ videos) • 2x 40+ page PDFs • Access to the private discord If you want access before enrollment closes, send me a DM. If I don't get back to you in time because of the volume of DMs, please reply to this tweet. Take a look at one of the 7 $BTC pivots featured below and a preview of what's included. There's only 48 hours left to join, and only a few spots remain.

Killa

194,601 次观看 • 1 个月前

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for
2:40:29

The Great Equalizer: How I Iterated Through 90+ Strategies to Automate My Financial Freedom ninety strategies sounds like a death wish but it is actually the only way to find your edge in a market designed to liquidate you. most traders are out here gambling with their rent money while the big players are using automated systems to harvest their liquidations. i know this because i spent hundreds of thousands of dollars on developers for apps thinking i could never code myself. i was getting wrecked by over trading and watching my accounts hit zero while i slept. code became the great equalizer for me because it removed the emotion that was killing my bankroll. i decided to learn to code live so i could iterate to success and now i have fully automated systems trading for me instead of getting liquidated by every wick. i just saw someone lose ten million dollars in a single month because they were trading by hand and got addicted to the screen. you have to understand that if you are not automating you are the exit liquidity for someone who is. the reality of advanced futures trading is not about finding one holy grail bot that prints money forever. it is about research and back testing until you find a strategy that has a statistical advantage. one of the most slept on concepts is variable risk scaling where you actually change your position size based on how volatile the market is. instead of just betting the same amount every time you increase your size when volatility is low and scale back when the market starts moving like crazy. this keeps you in the game during the draw downs that usually wipe people out. most people do the opposite and revenge trade with bigger size when they are losing which is the fastest way to the cemetery. i used to think i needed to be the smartest guy in the room to make this work but i realized i just needed to be the most disciplined with my risk parameters. there is a secret hidden in funding rates and basis trading that most retail traders never even look at. while everyone else is trying to guess if bitcoin is going to the moon or the floor you can actually make consistent money through funding rate arbitrage. you basically buy the asset in the spot market and simultaneously sell it in the futures market when the funding rate is high. you just sit there and collect the interest payments from the gamblers who are over leveraged on the other side. it is basically free money if you can manage the fees and keep your execution precise. i used to ignore these low yield plays because i wanted the big home runs but those home runs usually came with massive strikeouts. now i look for these carry trades as a way to keep the equity curve moving up and to the right while others are sweating over every price change. most traders fail because they use lagging indicators and expect them to predict the future with one hundred percent accuracy. the truth is that even the best trend following strategies like the golden cross or moving average crossovers only have about sixty five percent accuracy. you have to combine these with filters like the average directional index or relative strength index to make sure you are not just buying a fake breakout. a lot of people get chopped up in sideways markets because they do not have a trend strength filter to tell them to stay out of the trade. i learned to use multiple time frames to confirm my breakouts because if the one hour and the four hour charts are not saying the same thing then the trade is probably a trap. you have to be a searcher looking for those golden nuggets of alpha buried in mountains of data. i used to think that machine learning and genetic algorithms were just buzzwords that did not actually work for trading. then i realized that the 1990s tech trap is real and if you are still using basic indicators without any optimization you are decades behind. genetic algorithms are wild because they simulate natural selection to find the best parameters for your strategy through trial and error. you can actually build an environment where your bot learns from its own mistakes and optimizes its decision making process over time. i spent so much time thinking i was not smart enough to do this but once i started iterating live i found that the machines are much better at following rules than i ever was. code is the only way to compete with the high frequency firms that are looking for any tiny mispricing in the order book. slippage and bad execution will eat your profits faster than a bad trade ever could if you are not careful. most people just hit the market buy button and pay the spread and the fees without a second thought. you should be using smart order routing and limit orders to capture the bid ask spread instead of paying it to the market makers. i started using time weighted average price execution to spread my larger orders out over time so i did not move the market against myself. it is these tiny details in execution that separate the professional quants from the people who are just playing around. i had to learn this the hard way after losing a fortune on bad entries and exits that could have been avoided with a few lines of code. the ultimate goal of all of this is to build a compounding machine that grows your capital while you are living your life. you have to automate the reinvestment of your profits so that your position sizes grow as your account grows without you having to manually adjust anything. i like to use automated compounding algorithms that take a portion of my wins and put them back into the systems that are performing the best. this creates a snowball effect where your returns start to accelerate as the base capital increases. it took me years to realize that i did not need to be at the desk for eighteen hours a day to make life changing money. i just needed to build a system that was smarter and more disciplined than my own human brain. cross asset skew and volatility surface arbitrage are where the real quants play when the market gets efficient. you can look for mispricings between highly correlated assets like bitcoin and ethereum and trade the spread between them. when one asset gets overvalued relative to the other you short the leader and long the laggard until they revert back to the mean. this is a much safer way to trade because you are not betting on the direction of the market but rather the relationship between two assets. i spent a lot of money trying to guess the next big move before i realized that trading the relationship between assets was much more consistent. iteration is the only way to find these winks in the market that the average trader is completely blind to. it is a cold world in finance and most people are out here trying to step on your neck to get ahead. i believe that sharing this knowledge is important because code is the only thing that can give a regular person a fighting chance against the institutions. i started from zero and learned everything through failing and losing money until i finally figured out how to automate. now i spend my time building and testing instead of worrying about the next liquidation candle. you have to decide today if you want to keep being the exit liquidity or if you want to start building your own systems. the tools are all there and the data is accessible if you are willing to put in the work and stop negotiating with yourself. successful trading is not about being lucky it is about being prepared and having a system that can handle any market regime. whether the market is in a bull run or a total crash your bots should know exactly what to do based on the rules you have coded into them. i use risk weighted allocation to make sure that my capital is always moving toward the strategies with the highest sharp ratio and the lowest volatility. this keeps the portfolio stable even when the crypto market is going through its typical insane swings. i finally found peace in this game because i know that my automated systems are following the math while everyone else is following their feelings. code is the great equalizer and it is time for you to start using it to protect your future and build your empire there are over ninety strategies you can test and most of them will not work for your specific style but you only need one or two to change your life. i have built a fat list of ideas from research and i spend every day back testing and refining them to stay ahead of the curve. do not let the fear of coding stop you from taking control of your financial destiny because i am living proof that anyone can learn. i would rather spend my time iterating to success than getting liquidated by some random news event that i could not predict. the journey from losing hundreds of thousands to fully automated success was long but it was the best investment i ever made. keep your heart open and lead with love in this game and i promise the universe will start passing you those golden nuggets of alpha you have been searching for

Moon Dev

11,196 次观看 • 6 个月前

$Cupsey ran from $600K to $14M. The chart looked good. The holder table made me way more cautious. This is why I check who owns the supply in top holders before sizing a position. 6.6m would’ve been a good buy if I saw that the top holders were holding for a few weeks - but because they were new holders that caught it before the giga pump to 14 million, I was hesitant to build a big position here. Considering most volume was going towards Robin Hood, and $ansem was dipping from 300 mil (even hit sub 200m for a sec) I wasn’t super confident that the dip would hold on here. The thesis hasn’t changed and I still think the pump fun mascot deserves higher But this is a prime example of how paying attention to the trenches / volume spikes on older coins matters because if you had caught it sub 3 mil on the way up (plenty of time), you could’ve caught at least a 2 to 5X Good trade But if you didn’t catch it, and want to get involved but you see a token pump 2300%, make sure to always look at the top holders and see if they are newer - because odds are you’ll get another 50% to 70% dip from your “dip buying” opportunity.
0:39

$Cupsey ran from $600K to $14M. The chart looked good. The holder table made me way more cautious. This is why I check who owns the supply in top holders before sizing a position. 6.6m would’ve been a good buy if I saw that the top holders were holding for a few weeks - but because they were new holders that caught it before the giga pump to 14 million, I was hesitant to build a big position here. Considering most volume was going towards Robin Hood, and $ansem was dipping from 300 mil (even hit sub 200m for a sec) I wasn’t super confident that the dip would hold on here. The thesis hasn’t changed and I still think the pump fun mascot deserves higher But this is a prime example of how paying attention to the trenches / volume spikes on older coins matters because if you had caught it sub 3 mil on the way up (plenty of time), you could’ve caught at least a 2 to 5X Good trade But if you didn’t catch it, and want to get involved but you see a token pump 2300%, make sure to always look at the top holders and see if they are newer - because odds are you’ll get another 50% to 70% dip from your “dip buying” opportunity.

fomo 🧠

31,351 次观看 • 1 个月前

This is why PR diff speed matters. This isn't a dunk on GitHub specifically, because GitLab, Forgejo, etc. are all equal or worse. But this is the kind of thing that drives me nuts, because this is a core workflow and its slow enough I literally take my hands off the keyboard. Btw, when my mouse jiggles on the left, its because the page is literally skipping frames and I'm instinctively shaking my mouse to see if it'll respond. And on the keyboard input you can literally here me finish typing before a letter even shows up. For someone like me who is an expert at these tools, my brain navigates the tool dramatically faster than it can keep up, and that is not good. The tool should not get in the way.
1:07

This is why PR diff speed matters. This isn't a dunk on GitHub specifically, because GitLab, Forgejo, etc. are all equal or worse. But this is the kind of thing that drives me nuts, because this is a core workflow and its slow enough I literally take my hands off the keyboard. Btw, when my mouse jiggles on the left, its because the page is literally skipping frames and I'm instinctively shaking my mouse to see if it'll respond. And on the keyboard input you can literally here me finish typing before a letter even shows up. For someone like me who is an expert at these tools, my brain navigates the tool dramatically faster than it can keep up, and that is not good. The tool should not get in the way.

Mitchell Hashimoto

366,909 次观看 • 3 个月前

Q: It must be complicated, when I listen to you, to have a private life, somebody to understand your passion and to share this moment. Lewis: "It really is, especially I would say more so today than ever before, which is the way the world is, you know. I look at the other drivers and I wonder how they're doing it. You know, some are having kids and some married, some, you know, most of them girlfriends. I did that when I was in my 20s, but I took a decision to really to maximize my time that I have here because it's not as long as you think and it's limited, you know. And I don't want to look back and be like, ah, if I just gave a little bit more here, I didn't sacrifice my time because I was committed elsewhere." "So I really focused in these last, you know, particularly these last 10 years, like get everything I can out of my performance. Then when I retire, then I can do whatever I want. You know, I can dedicate my time to whatever else it is and not have to worry." "But in this competition time, focus on health, well-being, my mental health, my driving technique, being as good an engineer as I can be, and also being the best teammate that I can potentially be for the guys that I get to work with. That's my sole focus. You know, I want to win." "I've been fortunate enough to win with great teams in the past. Particularly, obviously, with Mercedes and with McLaren, which was incredible. And my dream is to win a championship with Ferrari." "And that's something that hasn't been done for a while. But they have absolutely every ingredient that's needed to win. It's just like getting all the pieces of the puzzle in the right place. And that's what I'm trying to work on in the background with Fred and the whole team." [📹 VIGNERON GAETAN]
2:02

Q: It must be complicated, when I listen to you, to have a private life, somebody to understand your passion and to share this moment. Lewis: "It really is, especially I would say more so today than ever before, which is the way the world is, you know. I look at the other drivers and I wonder how they're doing it. You know, some are having kids and some married, some, you know, most of them girlfriends. I did that when I was in my 20s, but I took a decision to really to maximize my time that I have here because it's not as long as you think and it's limited, you know. And I don't want to look back and be like, ah, if I just gave a little bit more here, I didn't sacrifice my time because I was committed elsewhere." "So I really focused in these last, you know, particularly these last 10 years, like get everything I can out of my performance. Then when I retire, then I can do whatever I want. You know, I can dedicate my time to whatever else it is and not have to worry." "But in this competition time, focus on health, well-being, my mental health, my driving technique, being as good an engineer as I can be, and also being the best teammate that I can potentially be for the guys that I get to work with. That's my sole focus. You know, I want to win." "I've been fortunate enough to win with great teams in the past. Particularly, obviously, with Mercedes and with McLaren, which was incredible. And my dream is to win a championship with Ferrari." "And that's something that hasn't been done for a while. But they have absolutely every ingredient that's needed to win. It's just like getting all the pieces of the puzzle in the right place. And that's what I'm trying to work on in the background with Fred and the whole team." [📹 VIGNERON GAETAN]

sim

86,907 次观看 • 1 年前

I used to spend literally hours wallet tracking and The Scientific Crypto Investor tool unusualswaps lets me do what used to take me hours in minutes. Please see the video below where I use the tool and walk through its features. My intro to The Scientific Crypto Investor is very similar to how I started working with . I loved the tool and just opened a channel with the devs and gave tons of feedback. This tool is amazing and it honestly includes everything you'd ever need to hunt for wallets and just analyze data onchain. Entry is open now but limited, you can DM The Scientific Crypto Investor for access and even if you don't get in this round, you can add your name to the list.
2:54

I used to spend literally hours wallet tracking and The Scientific Crypto Investor tool unusualswaps lets me do what used to take me hours in minutes. Please see the video below where I use the tool and walk through its features. My intro to The Scientific Crypto Investor is very similar to how I started working with . I loved the tool and just opened a channel with the devs and gave tons of feedback. This tool is amazing and it honestly includes everything you'd ever need to hunt for wallets and just analyze data onchain. Entry is open now but limited, you can DM The Scientific Crypto Investor for access and even if you don't get in this round, you can add your name to the list.

👀

18,961 次观看 • 2 年前

WORST CRYPTO SEASON 🚨 I feel sad looking at the level of greed people are having for crypto, and they lose it all trying to be rich quickly. Manipulation is huge to take off everyone, and now that I can see everyone talking about the top being here for the season, I don't feel that yet ‼️ Look how Binance's newly launched all projects are 80% down from the launchpad, And CZ posted a meme coin tweet it pumped 100x in 4 hours, sucking up liquidity,y and then again dumped 80% from the top in 2 hours. I feel we gonna see another rally after sometime and 90% will be sidelined as they lost everything in this dump. Only people with the most holding on the spot will survive the pump rest will be thrown out. Also, the meme coins launched back to back + those influencers promoting meme coins and asking people to put liquidity in it did wrong this cycle. Blue chip memes are 90% down and small ones 98% down from the recent top. #cryptomarket #altcoins #bitcoin $BTC $ETH
6:59

WORST CRYPTO SEASON 🚨 I feel sad looking at the level of greed people are having for crypto, and they lose it all trying to be rich quickly. Manipulation is huge to take off everyone, and now that I can see everyone talking about the top being here for the season, I don't feel that yet ‼️ Look how Binance's newly launched all projects are 80% down from the launchpad, And CZ posted a meme coin tweet it pumped 100x in 4 hours, sucking up liquidity,y and then again dumped 80% from the top in 2 hours. I feel we gonna see another rally after sometime and 90% will be sidelined as they lost everything in this dump. Only people with the most holding on the spot will survive the pump rest will be thrown out. Also, the meme coins launched back to back + those influencers promoting meme coins and asking people to put liquidity in it did wrong this cycle. Blue chip memes are 90% down and small ones 98% down from the recent top. #cryptomarket #altcoins #bitcoin $BTC $ETH

Karan Singh Arora

45,021 次观看 • 1 年前

Law Roach says he is the Zendaya of fashion and no stylist is as successful as him while explaining the viral Louis Vuitton seat mixup: "It wasn't that I didn't have a front row seat... They rushed her to the seat as they should, she's an ambassador, she's the face of the brand. They just didn't know where my seat was, and they told me to sit behind her." "The seat behind her was her assistant's seat. So if you sit me behind her, where would he sit? And that's not the way we roll... I had another seat on the front row down a bit. So it was just a misunderstanding." "The thing about the talent thing is that I am the Zendaya of my industry... Respectfully, I am the most famous stylist in the world." "I am probably one of the only, if not the only stylist that I can go globally and people recognize me... There is only one me. And because of me, I've been able to open doors for so many other people who look like me." "I am the Serena Williams of styling. It just is what it is, respectfully."
2:32

Law Roach says he is the Zendaya of fashion and no stylist is as successful as him while explaining the viral Louis Vuitton seat mixup: "It wasn't that I didn't have a front row seat... They rushed her to the seat as they should, she's an ambassador, she's the face of the brand. They just didn't know where my seat was, and they told me to sit behind her." "The seat behind her was her assistant's seat. So if you sit me behind her, where would he sit? And that's not the way we roll... I had another seat on the front row down a bit. So it was just a misunderstanding." "The thing about the talent thing is that I am the Zendaya of my industry... Respectfully, I am the most famous stylist in the world." "I am probably one of the only, if not the only stylist that I can go globally and people recognize me... There is only one me. And because of me, I've been able to open doors for so many other people who look like me." "I am the Serena Williams of styling. It just is what it is, respectfully."

SteWie.

1,545,817 次观看 • 15 天前

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.
0:33

An AI engineer stopped me at a coffee shop because of what was on my screen. I was running a Polymarket trading system powered by AI. He glanced over once. Then again. Then asked: "What exactly is that?" I told him: • Claude Code • Open-source tools • A few custom workflows • Less than $30/month He pulled up a chair. Then I showed him what the system was doing. Millions of trades analyzed. Thousands of wallets tracked. Every entry. Every exit. Every profitable pattern. One prompt: "Find consistently profitable traders and identify repeatable behaviors." Within minutes, the system returned a shortlist of high-performing wallets worth studying. What used to take days of manual research took minutes. But that was only the beginning. The second workflow monitored live prediction markets. It automatically filtered: • liquidity • pricing inefficiencies • volume spikes • whale activity • momentum shifts Hundreds of markets became a small watchlist. Most opportunities were rejected automatically. Only the strongest setups survived. Then he asked: "How does it know when to enter?" Three independent AI agents. One looks for arbitrage. One tracks probability convergence. One follows high-conviction traders. When multiple agents agree, confidence increases. When they disagree, no trade. Simple. But surprisingly effective. Then came the next question: "What about exits?" The system doesn't just analyze winning traders. It studies how they take profits. Many successful traders close positions long before settlement. So the bot watches for: • profit targets • unusual volume • momentum reversals The goal isn't to predict everything. It's to react faster than manual traders can. He stared at the dashboard for a few seconds and said: "This isn't just market analysis." "It's an intelligence system." And that's the shift most people are missing. AI isn't only helping people work faster. It's compressing workflows that once required entire teams into a laptop and a few prompts. The gap between individuals and institutions is shrinking. Fast. The people learning these tools today are building the edge everyone else will be chasing tomorrow. Comment "Claude" if you want the framework.

Paul Sims

13,505 次观看 • 19 天前

The 118,000% Alpha: Building a High-Frequency AI Trading Floor with Claude Code if you think claude code is just for writing simple scripts then you are already losing to the bots that are hunting your liquidity right now. most traders are still clicking buttons while i have an ai employee running backtests on twenty eight different data sources simultaneously. i am going to show you how a strategy that returned over four hundred thousand percent was built in minutes using a secret sub agent workflow most people treat ai like a chatbot but i treat it like a quant architect that builds systems better than the devs i used to pay hundreds of thousands of dollars. there is one specific indicator combo that actually survived a stress test across tesla and bitcoin at the same time and i will reveal that logic further down. we have to talk about why your current backtests are probably lying to you before we get into the code my name is moon dev and i truly believe that code is the great equalizer in this world. for years i was the guy getting liquidated and overtrading because i was letting my emotions drive the wheel. i spent an insane amount of money hiring developers to build apps for me because i thought i was not smart enough to code myself. through that pain i realized that if i wanted to win i had to automate everything and learn to do it live on youtube for the world to see the secret to trading with claude code is not asking it for a strategy but using it to build a backtest architect. this sub agent acts as a consistent employee that understands how to test against massive datasets without getting tired. it allows me to iterate through hundreds of ideas in the time it used to take me to write one single line of python. this is how i found the strategy that hit a one hundred and eighteen thousand percent return on a single run there is a massive trap that almost every beginner falls into when they start using ai for trading. they find a strategy that looks amazing on one chart and they think they found the holy grail of wealth. that is usually just a lucky fluke or a curve fit mess that will blow up your account next week. the real secret to staying alive is the multi data testing system that claude built for me today we test every single idea against bitcoin and ethereum and solana but we also throw in apple and tesla and nvidia. if a strategy only works on crypto it is probably just riding a trend that is already over. i want to find the logic that is robust enough to handle the volatility of a meme coin and the steady grind of a blue chip stock. this is the only way to prove that the code actually has an edge in the market before we dive into the kalman filter logic i have to tell you about the dca bot i have running on solana right now. it is called housecoin and the thesis behind it is either going to make me a genius or leave me with nothing. it is buying every time we are under the five minute sma and i have been checking the transactions live. i will explain the risk management behind this "all or nothing" play shortly but first we need to look at the winners the winner of today was the acceleration bands combined with a kalman filter. the kalman filter is incredible because it helps remove the noise and lag that you get with standard moving averages. most indicators repaint which means they change their past values to look better after the price has already moved. the way i have implemented this filter prevents that trap so the results you see in the backtest are actually tradable when we ran the acceleration bands across the hourly nvidia chart it returned over two hundred percent while the underlying asset was down forty percent. that is a massive alpha gap that most people will never see because they are stuck using standard rsi settings. i have found that adding a volatility breakout with atr to this setup helps catch the moves that the banks are trying to hide. the math behind the atr breakout is what kept me from getting chopped up in the sideway ranges you might be wondering why i am giving all this code away for free on github instead of keeping it in a vault. it is because i remember what it felt like to be on the other side of the trade losing money every single day. i want to build a community of quads that are all researching and backtesting together. the goal is to chase the legacy of jim simons who proved that math and code are the only things that matter in the long run the rbi system is the framework that i follow every single day without exception. it stands for research and backtest and implement. most traders skip the middle step because they are too impatient to see the results. they hear a rumor on twitter and they buy the top only to get liquidated when the whales decide to take profits. if you do not backtest your ideas then you are just gambling with your life savings i am spending around forty to one hundred dollars a day on claude opus tokens because it is a drop in the bucket compared to what a developer would charge. this ai does not need a lunch break and it does not get bored when i ask it to create sixty different variations of a strategy. we just created five different parabolic sar versions today and found that the long only setup was the only one worth keeping. it returned sixteen thousand percent on the soul data set because it stayed out of the short side traps shorting crypto is extremely dangerous and usually not worth the stress for most people. i have found that focusing on long only strategies with a tight trail stop is the most consistent way to grow an account. the sub agent architect allowed me to verify this across twenty five data sources in less than ten minutes. this speed of iteration is the only way to stay ahead of the curve in an industry that changes every few seconds the dca bot i mentioned earlier is still grinding away and buying the dips as we speak. i have built it to be a long term play where i am slowly accumulating a position in housecoin based on smas. if the price stays under the moving average the bot keeps buying and if it goes above then it sits on its hands. it is a simple logic but it removes the human desire to "buy the moon" when the price is already overextended i found that the camarilla pivot indicator was mostly trash today when we ran the numbers. even though it looks fancy on a chart the backtest showed negative expectancy across almost every asset we tried. this is why backtesting is so important because it kills the "indicator porn" that influencers use to sell you courses. i would much rather know that a strategy is a loser now than find out after i put real money on the line the true secret to using claude code is to treat it like a partner and not just a tool. i ask it to find anomalies and then i ask it to prove me wrong by testing it against the worst market conditions in history. if a strategy can survive the 2022 crypto crash and the 2020 stock market dip then i might consider it for a live run. we are stepping on the gas every single day because there are always new anomalies popping up if you are fast enough to find them i have uploaded over twenty five new backtests to the github today for everyone to use. code is the equalizer because it does not care about your background or how much money you started with. if you can write the logic and prove the edge then the market has to pay you. i am going to keep building in public and showing the wins and the losses because that is the only way to stay real in this space the final piece of the puzzle is the mindset of iteration over perfection. i would rather run a hundred messy backtests today than spend a month trying to write one perfect script. the ai allows me to fail fast so that i can find the winners that actually move the needle. my housecoin dca bot is a testament to that philosophy of just building and letting the systems do the heavy lifting for me if you are still trading by hand you are playing a game that is rigged against you by the biggest firms in the world. they have the best servers and the best data and the best phds but they do not have your specific creativity. when you combine your ideas with the power of claude code you are creating a custom weapon that they have never seen before. i will see you in the code and we will keep chasing the goat until we find that ultimate edge
1:55:47

The 118,000% Alpha: Building a High-Frequency AI Trading Floor with Claude Code if you think claude code is just for writing simple scripts then you are already losing to the bots that are hunting your liquidity right now. most traders are still clicking buttons while i have an ai employee running backtests on twenty eight different data sources simultaneously. i am going to show you how a strategy that returned over four hundred thousand percent was built in minutes using a secret sub agent workflow most people treat ai like a chatbot but i treat it like a quant architect that builds systems better than the devs i used to pay hundreds of thousands of dollars. there is one specific indicator combo that actually survived a stress test across tesla and bitcoin at the same time and i will reveal that logic further down. we have to talk about why your current backtests are probably lying to you before we get into the code my name is moon dev and i truly believe that code is the great equalizer in this world. for years i was the guy getting liquidated and overtrading because i was letting my emotions drive the wheel. i spent an insane amount of money hiring developers to build apps for me because i thought i was not smart enough to code myself. through that pain i realized that if i wanted to win i had to automate everything and learn to do it live on youtube for the world to see the secret to trading with claude code is not asking it for a strategy but using it to build a backtest architect. this sub agent acts as a consistent employee that understands how to test against massive datasets without getting tired. it allows me to iterate through hundreds of ideas in the time it used to take me to write one single line of python. this is how i found the strategy that hit a one hundred and eighteen thousand percent return on a single run there is a massive trap that almost every beginner falls into when they start using ai for trading. they find a strategy that looks amazing on one chart and they think they found the holy grail of wealth. that is usually just a lucky fluke or a curve fit mess that will blow up your account next week. the real secret to staying alive is the multi data testing system that claude built for me today we test every single idea against bitcoin and ethereum and solana but we also throw in apple and tesla and nvidia. if a strategy only works on crypto it is probably just riding a trend that is already over. i want to find the logic that is robust enough to handle the volatility of a meme coin and the steady grind of a blue chip stock. this is the only way to prove that the code actually has an edge in the market before we dive into the kalman filter logic i have to tell you about the dca bot i have running on solana right now. it is called housecoin and the thesis behind it is either going to make me a genius or leave me with nothing. it is buying every time we are under the five minute sma and i have been checking the transactions live. i will explain the risk management behind this "all or nothing" play shortly but first we need to look at the winners the winner of today was the acceleration bands combined with a kalman filter. the kalman filter is incredible because it helps remove the noise and lag that you get with standard moving averages. most indicators repaint which means they change their past values to look better after the price has already moved. the way i have implemented this filter prevents that trap so the results you see in the backtest are actually tradable when we ran the acceleration bands across the hourly nvidia chart it returned over two hundred percent while the underlying asset was down forty percent. that is a massive alpha gap that most people will never see because they are stuck using standard rsi settings. i have found that adding a volatility breakout with atr to this setup helps catch the moves that the banks are trying to hide. the math behind the atr breakout is what kept me from getting chopped up in the sideway ranges you might be wondering why i am giving all this code away for free on github instead of keeping it in a vault. it is because i remember what it felt like to be on the other side of the trade losing money every single day. i want to build a community of quads that are all researching and backtesting together. the goal is to chase the legacy of jim simons who proved that math and code are the only things that matter in the long run the rbi system is the framework that i follow every single day without exception. it stands for research and backtest and implement. most traders skip the middle step because they are too impatient to see the results. they hear a rumor on twitter and they buy the top only to get liquidated when the whales decide to take profits. if you do not backtest your ideas then you are just gambling with your life savings i am spending around forty to one hundred dollars a day on claude opus tokens because it is a drop in the bucket compared to what a developer would charge. this ai does not need a lunch break and it does not get bored when i ask it to create sixty different variations of a strategy. we just created five different parabolic sar versions today and found that the long only setup was the only one worth keeping. it returned sixteen thousand percent on the soul data set because it stayed out of the short side traps shorting crypto is extremely dangerous and usually not worth the stress for most people. i have found that focusing on long only strategies with a tight trail stop is the most consistent way to grow an account. the sub agent architect allowed me to verify this across twenty five data sources in less than ten minutes. this speed of iteration is the only way to stay ahead of the curve in an industry that changes every few seconds the dca bot i mentioned earlier is still grinding away and buying the dips as we speak. i have built it to be a long term play where i am slowly accumulating a position in housecoin based on smas. if the price stays under the moving average the bot keeps buying and if it goes above then it sits on its hands. it is a simple logic but it removes the human desire to "buy the moon" when the price is already overextended i found that the camarilla pivot indicator was mostly trash today when we ran the numbers. even though it looks fancy on a chart the backtest showed negative expectancy across almost every asset we tried. this is why backtesting is so important because it kills the "indicator porn" that influencers use to sell you courses. i would much rather know that a strategy is a loser now than find out after i put real money on the line the true secret to using claude code is to treat it like a partner and not just a tool. i ask it to find anomalies and then i ask it to prove me wrong by testing it against the worst market conditions in history. if a strategy can survive the 2022 crypto crash and the 2020 stock market dip then i might consider it for a live run. we are stepping on the gas every single day because there are always new anomalies popping up if you are fast enough to find them i have uploaded over twenty five new backtests to the github today for everyone to use. code is the equalizer because it does not care about your background or how much money you started with. if you can write the logic and prove the edge then the market has to pay you. i am going to keep building in public and showing the wins and the losses because that is the only way to stay real in this space the final piece of the puzzle is the mindset of iteration over perfection. i would rather run a hundred messy backtests today than spend a month trying to write one perfect script. the ai allows me to fail fast so that i can find the winners that actually move the needle. my housecoin dca bot is a testament to that philosophy of just building and letting the systems do the heavy lifting for me if you are still trading by hand you are playing a game that is rigged against you by the biggest firms in the world. they have the best servers and the best data and the best phds but they do not have your specific creativity. when you combine your ideas with the power of claude code you are creating a custom weapon that they have never seen before. i will see you in the code and we will keep chasing the goat until we find that ultimate edge

Moon Dev

18,650 次观看 • 6 个月前

💬 Bryson DeChambeau on the U.S. Open... BRYSON: "I always felt like my game was prepped for the U.S. Open for some reason. My ball striking was really good. I putted well on fast greens, slopey greens. I felt like it was the most open and fair championship for tough golf out there, that every week it could be anybody's week, right? And I think it's the difficult part about professional golf is that no matter if you're playing the best golf of your life, you can go up there and not play your best." "As long as I stay focused on the golf course at hand and the shot at hand, give myself the best opportunity to win by executing the best shots and feeling the most comfortable, that's what I'm going to do. "I think it's more of who can persevere the most, who has the most resilience. I think that's what's so beautiful about U.S. Open is that stuff's going to get thrown at you pretty hard, and it's not going to be easy to combat those issues. And I think the one that is the most resilient usually goes on top. #USOpen | Crushers GC
0:59

💬 Bryson DeChambeau on the U.S. Open... BRYSON: "I always felt like my game was prepped for the U.S. Open for some reason. My ball striking was really good. I putted well on fast greens, slopey greens. I felt like it was the most open and fair championship for tough golf out there, that every week it could be anybody's week, right? And I think it's the difficult part about professional golf is that no matter if you're playing the best golf of your life, you can go up there and not play your best." "As long as I stay focused on the golf course at hand and the shot at hand, give myself the best opportunity to win by executing the best shots and feeling the most comfortable, that's what I'm going to do. "I think it's more of who can persevere the most, who has the most resilience. I think that's what's so beautiful about U.S. Open is that stuff's going to get thrown at you pretty hard, and it's not going to be easy to combat those issues. And I think the one that is the most resilient usually goes on top. #USOpen | Crushers GC

LIV Golf

32,936 次观看 • 2 个月前

👤 I’m curious about how you see the world. your weverse posts show such a beautiful soul. and i want to live like that too. 🐶 In the end, I think the world I see is one where nothing really lasts. As time passes, even my own notes keep changing. When I die, the money I earned becomes meaningless. There might be people who remember my name, but that won’t last forever either. So what I believe is that what truly remains in this world..what stays in the universe, is the energy I give to it. Once that energy is released into the world, it’s just out there, like dust, existing somewhere in the universe forever. Because I think energy matters deeply. Your energy can be destructive, or it can be good. So just be good energy. Give good things to the world. Because that’s the only thing that lasts. And your life is part of that energy. That’s the only thing that is forever.
1:34

👤 I’m curious about how you see the world. your weverse posts show such a beautiful soul. and i want to live like that too. 🐶 In the end, I think the world I see is one where nothing really lasts. As time passes, even my own notes keep changing. When I die, the money I earned becomes meaningless. There might be people who remember my name, but that won’t last forever either. So what I believe is that what truly remains in this world..what stays in the universe, is the energy I give to it. Once that energy is released into the world, it’s just out there, like dust, existing somewhere in the universe forever. Because I think energy matters deeply. Your energy can be destructive, or it can be good. So just be good energy. Give good things to the world. Because that’s the only thing that lasts. And your life is part of that energy. That’s the only thing that is forever.

fimloops

18,900 次观看 • 6 个月前

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 次观看 • 5 个月前

IF YOU TRADE PREDICTION MARKETS EVERY DAY you probably need a terminal instead of another prediction market app Predict Parity puts polymarket, polymarket us into one professional trading interface where you can search markets by category, volume, liquidity and odds. weather markets are a perfect example because i can scan the most liquid opportunities, save the markets i want to watch and trade without jumping between platforms. then i can do the same with traders by finding profitable weather wallets, bookmarking them and tracking their next moves. polymarket traders use one terminal for prediction markets, market discovery, trader tracking and execution. Parity is FREE to use and much cleaner than trading from a bunch of separate tabs. Enter to Parity only with invite access: Claim invite ➔
2:02

IF YOU TRADE PREDICTION MARKETS EVERY DAY you probably need a terminal instead of another prediction market app Predict Parity puts polymarket, polymarket us into one professional trading interface where you can search markets by category, volume, liquidity and odds. weather markets are a perfect example because i can scan the most liquid opportunities, save the markets i want to watch and trade without jumping between platforms. then i can do the same with traders by finding profitable weather wallets, bookmarking them and tracking their next moves. polymarket traders use one terminal for prediction markets, market discovery, trader tracking and execution. Parity is FREE to use and much cleaner than trading from a bunch of separate tabs. Enter to Parity only with invite access: Claim invite ➔

PolySuccubus

25,800 次观看 • 15 天前

AI Mocap tools are evolving at breakneck speed... and I could find more than 10 all compiled and compared in a list you can get by subscribing to the XR AI Spotlight newsletter (link on top of my profile). This is Cartwheel and the stepping on that box was one of the most solid I saw. There is a bit of floatiness in the feet and they are not perfectly grounded, but since I tested the tool, the team has pushed massive improvement. What AI mocap tool do you use in your workflow? Let me know in the comments
0:24

AI Mocap tools are evolving at breakneck speed... and I could find more than 10 all compiled and compared in a list you can get by subscribing to the XR AI Spotlight newsletter (link on top of my profile). This is Cartwheel and the stepping on that box was one of the most solid I saw. There is a bit of floatiness in the feet and they are not perfectly grounded, but since I tested the tool, the team has pushed massive improvement. What AI mocap tool do you use in your workflow? Let me know in the comments

Gabriele Romagnoli

34,907 次观看 • 9 个月前

All You Need Is Here —— 13 Qullamaggie's Stock and ETF Scans Intraday Scans "Which screen filters my scans? Sure. This is my 'Strongest' scan. These scans are for a specific watchlist I have of the strongest stocks—most of them are growth stocks. Then, like EPs, these are stocks that gap up 7.5% or are up at least 7.5% above yesterday's price, with at least $15 million in dollar volume. Then I have my Momentum watchlist. It’s also a specific watchlist where I pretty much scan for stocks that are up today in that watchlist above yesterday’s highs. This OTC scan... you don’t have to look at that, I’m gonna take it off. I don’t trade OTCs ever; they’ve been dead for many years. For my ETF scan, I look for $30 million in dollar volume and a 6% ADR (Average Daily Range). Then I have Lower Liquidity / Higher ADR scans. These are pretty much stocks that are not very liquid but have a very high ADR, so you can take a smaller position and still make decent money because the stock is likely to make a bigger move. So those are my intraday scans." Weekend & Overnight Scans "Then I have my weekend and overnight scans, which I use to build my watchlists. Pretty much, I scan for the strongest stocks on every timeframe—like one month, six months, three months, two years, one and a half years, etc. They all look the same: $60 million in dollar volume, 3.5% ADR, and ranked among the 7% strongest. The only difference is the timeframe. Then I also scan for the Biggest 5-Day Gainers: $60 million dollar volume and up 25% in the past five days. For ADRs (foreign stocks), you have to scan for them separately in TC2000: $60 million in dollar volume and 3% ADR. So those are pretty much my main scans. Then I also scan for our Biggest Losers on one and two-year timeframes just to find the beaten-down names that could make big moves."
2:23

All You Need Is Here —— 13 Qullamaggie's Stock and ETF Scans Intraday Scans "Which screen filters my scans? Sure. This is my 'Strongest' scan. These scans are for a specific watchlist I have of the strongest stocks—most of them are growth stocks. Then, like EPs, these are stocks that gap up 7.5% or are up at least 7.5% above yesterday's price, with at least $15 million in dollar volume. Then I have my Momentum watchlist. It’s also a specific watchlist where I pretty much scan for stocks that are up today in that watchlist above yesterday’s highs. This OTC scan... you don’t have to look at that, I’m gonna take it off. I don’t trade OTCs ever; they’ve been dead for many years. For my ETF scan, I look for $30 million in dollar volume and a 6% ADR (Average Daily Range). Then I have Lower Liquidity / Higher ADR scans. These are pretty much stocks that are not very liquid but have a very high ADR, so you can take a smaller position and still make decent money because the stock is likely to make a bigger move. So those are my intraday scans." Weekend & Overnight Scans "Then I have my weekend and overnight scans, which I use to build my watchlists. Pretty much, I scan for the strongest stocks on every timeframe—like one month, six months, three months, two years, one and a half years, etc. They all look the same: $60 million in dollar volume, 3.5% ADR, and ranked among the 7% strongest. The only difference is the timeframe. Then I also scan for the Biggest 5-Day Gainers: $60 million dollar volume and up 25% in the past five days. For ADRs (foreign stocks), you have to scan for them separately in TC2000: $60 million in dollar volume and 3% ADR. So those are pretty much my main scans. Then I also scan for our Biggest Losers on one and two-year timeframes just to find the beaten-down names that could make big moves."

Will Hu

17,836 次观看 • 5 个月前

So I am experimenting with a new way to launch. Right now there are a million launch pads and no one wants to launch stuff, I think the reason for this is many fold but the key points are : 1. handling all the messaging/setting up TG, being the single point of harassment. I think this is the biggest thing people hate with launching coins, everyone blames you for everything regardless of good or bad, you get a lot of hate when it goes down, and not that much praise when it goes up, everyone watches you and you get constantly harassed even if you control a little amount of supply. You saw this with Bags coins, it leaves a bad taste in everyone's mouth. So my solution to this is, the TG, the community and everything is built in and launched via a bot so its easy 1-click, and helps the coin build a more decentralized community 2. Market Makers/Managing liq. So this is a bit more subtle and most degens dont know how this works, but pretty much every coin that get past a certain point ( like 4M market cap), generally needs a market maker to come in and make sure to smooth out volatility. Most times the team will try and do this themselfs, with supply control + Vol Bot + manual sell/buys + off chain $. The issue here is its super exhausting, confusing, and also puts you personally on the hook, and if people "find out" they go nuts regardless of if it was malicious or not. This is the proverbial "Crime" coin. 3. Snipers/distribution This is basically some one else controlling the coin that doesn't have the best interest of the chart in mind. In all the best non crime coins, they have really good distribution with no one player owning more than 2-5%. So in order to attempt to fix all the above, I made launch boy. 0. Gamble curve to get into the coin early. So no snipers. More luck based/fun. 1. Built in whale TG at coin launch. Filters jeets. 2. Large % of sol that is lost by people gambling to get in, goes to a market maker so they have stake in the coin, and can help it go to larger MC and smooth out the volatility. (ideally). 3. Pre-sale, so you can manage who gets in to help distribution/stop snipers/ people you don't want to have your coin. more tweaks need to happen like a crowd-funded vol bot as well, so people can donate $$ to a volume bot to make the coin trend and such. The big boys (cabal) does this stuff anyways so I want to even the playing field for smaller dedicated communities.
0:37

So I am experimenting with a new way to launch. Right now there are a million launch pads and no one wants to launch stuff, I think the reason for this is many fold but the key points are : 1. handling all the messaging/setting up TG, being the single point of harassment. I think this is the biggest thing people hate with launching coins, everyone blames you for everything regardless of good or bad, you get a lot of hate when it goes down, and not that much praise when it goes up, everyone watches you and you get constantly harassed even if you control a little amount of supply. You saw this with Bags coins, it leaves a bad taste in everyone's mouth. So my solution to this is, the TG, the community and everything is built in and launched via a bot so its easy 1-click, and helps the coin build a more decentralized community 2. Market Makers/Managing liq. So this is a bit more subtle and most degens dont know how this works, but pretty much every coin that get past a certain point ( like 4M market cap), generally needs a market maker to come in and make sure to smooth out volatility. Most times the team will try and do this themselfs, with supply control + Vol Bot + manual sell/buys + off chain $. The issue here is its super exhausting, confusing, and also puts you personally on the hook, and if people "find out" they go nuts regardless of if it was malicious or not. This is the proverbial "Crime" coin. 3. Snipers/distribution This is basically some one else controlling the coin that doesn't have the best interest of the chart in mind. In all the best non crime coins, they have really good distribution with no one player owning more than 2-5%. So in order to attempt to fix all the above, I made launch boy. 0. Gamble curve to get into the coin early. So no snipers. More luck based/fun. 1. Built in whale TG at coin launch. Filters jeets. 2. Large % of sol that is lost by people gambling to get in, goes to a market maker so they have stake in the coin, and can help it go to larger MC and smooth out the volatility. (ideally). 3. Pre-sale, so you can manage who gets in to help distribution/stop snipers/ people you don't want to have your coin. more tweaks need to happen like a crowd-funded vol bot as well, so people can donate $$ to a volume bot to make the coin trend and such. The big boys (cabal) does this stuff anyways so I want to even the playing field for smaller dedicated communities.

Skely

12,888 次观看 • 3 个月前