Moon Dev
war trading bots
today we built some war trading bots inside the zoom
if you missed today make sure you do not miss tomorrow
there might still be a ticket available for you
check here https://t.co/JbJdIbW2p9
see you tomorrow
moondev
tweet
war trading bots
today we built some war trading bots inside the zoom
if you missed today make sure you do not miss tomorrow
there might still be a ticket available for you
check here https://t.co/JbJdIbW2p9
see you tomorrow
moondev
tweet
Moon Dev
The Claude Code Danger Mode: How to Hit 1,347% Returns With an AI Backtest Architect
most people are out here losing their life savings to the liquidation engine while i just found a way to let the machines do the heavy lifting for me. i am going to show you exactly how i hit a 1,347% return on solana data while the rest of the world was struggling to keep up with a 730% buy and hold.
there is a hidden switch inside of modern ai tools that allows you to bypass the safety rails and step on the gas in a way that would terrify a traditional developer. i call it the danger mode and once you understand how to use it you can generate forty different backtests in the time it takes most people to drink a coffee.
i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself but i was wrong.
w/ bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated. the secret is not just having an ai write your code but turning that ai into a sub agent i call the backtest architect.
most traders fail because they spend four hours on a single backtest and get so attached to the results that they ignore the red flags. i have built a system where i can launch three different architects at once and they all start building variations of rsi divergence and stochastic reversals simultaneously.
if you want to achieve greatness you have to stop asking for permission to use the tools that are right in front of your face. i have been running forty backtests today and most of them were absolute trash but the few winners we found are enough to change everything.
the reason wall street wins is because they have a massive head start on data and processing power but the gap is closing faster than they realize. when you can test a strategy across twenty five different data sources in minutes you are doing what used to require a whole floor of quants.
the rbi system is my secret sauce which stands for research backtest and implement because it removes the emotion that kills every manual trader. i spend my time researching the ideas and then i let the architect build the folders and run the code to see if the math actually holds up.
there is a specific trap in backtesting called over optimization where you make the code look perfect for the past but it blows up the second it hits live markets. i avoid this by using multi data testing which means we run the same strategy on everything from solana to nvidia to see if it actually works or if it was just a fluke.
most people think you need to be a genius to do this but the reality is that you just need to be an idea guy with a bit of discipline. i spent a decade being scared of the terminal and now i have it running dangerously skip permissions because i want to go fast fast fast.
the industry wants you to believe that you need their permission to win but the 777 energy i feel right now tells me otherwise. you can literally take a strategy like the three mountains or the elliot wave and tell your sub agent to layer it with bollinger bands and mfi to see the hidden alpha.
i saw some returns on nvidia hourly that would make a hedge fund manager quit his job and join the community. the data dog in me just wants to chew on these numbers all day because the numbers do not lie and they do not have a bad day at the office.
discipline is doing what you hate to do but doing it like you love it every single day even when the backtests come back negative. i ran seven macd strategies today and every single one of them was total garbage but i do not care because i just move to the next idea.
the common mistake is thinking you can just buy a bot and it will print money forever without you ever having to look at it. this game is about consta[...]
The Claude Code Danger Mode: How to Hit 1,347% Returns With an AI Backtest Architect
most people are out here losing their life savings to the liquidation engine while i just found a way to let the machines do the heavy lifting for me. i am going to show you exactly how i hit a 1,347% return on solana data while the rest of the world was struggling to keep up with a 730% buy and hold.
there is a hidden switch inside of modern ai tools that allows you to bypass the safety rails and step on the gas in a way that would terrify a traditional developer. i call it the danger mode and once you understand how to use it you can generate forty different backtests in the time it takes most people to drink a coffee.
i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself but i was wrong.
w/ bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated. the secret is not just having an ai write your code but turning that ai into a sub agent i call the backtest architect.
most traders fail because they spend four hours on a single backtest and get so attached to the results that they ignore the red flags. i have built a system where i can launch three different architects at once and they all start building variations of rsi divergence and stochastic reversals simultaneously.
if you want to achieve greatness you have to stop asking for permission to use the tools that are right in front of your face. i have been running forty backtests today and most of them were absolute trash but the few winners we found are enough to change everything.
the reason wall street wins is because they have a massive head start on data and processing power but the gap is closing faster than they realize. when you can test a strategy across twenty five different data sources in minutes you are doing what used to require a whole floor of quants.
the rbi system is my secret sauce which stands for research backtest and implement because it removes the emotion that kills every manual trader. i spend my time researching the ideas and then i let the architect build the folders and run the code to see if the math actually holds up.
there is a specific trap in backtesting called over optimization where you make the code look perfect for the past but it blows up the second it hits live markets. i avoid this by using multi data testing which means we run the same strategy on everything from solana to nvidia to see if it actually works or if it was just a fluke.
most people think you need to be a genius to do this but the reality is that you just need to be an idea guy with a bit of discipline. i spent a decade being scared of the terminal and now i have it running dangerously skip permissions because i want to go fast fast fast.
the industry wants you to believe that you need their permission to win but the 777 energy i feel right now tells me otherwise. you can literally take a strategy like the three mountains or the elliot wave and tell your sub agent to layer it with bollinger bands and mfi to see the hidden alpha.
i saw some returns on nvidia hourly that would make a hedge fund manager quit his job and join the community. the data dog in me just wants to chew on these numbers all day because the numbers do not lie and they do not have a bad day at the office.
discipline is doing what you hate to do but doing it like you love it every single day even when the backtests come back negative. i ran seven macd strategies today and every single one of them was total garbage but i do not care because i just move to the next idea.
the common mistake is thinking you can just buy a bot and it will print money forever without you ever having to look at it. this game is about consta[...]
Offshore
Moon Dev The Claude Code Danger Mode: How to Hit 1,347% Returns With an AI Backtest Architect most people are out here losing their life savings to the liquidation engine while i just found a way to let the machines do the heavy lifting for me. i am going…
nt iteration and if you are not willing to outshoot everyone else you are going to get left behind in the dust.
it is a video game where the prize is your freedom and the boss fights are the liquidation events that try to take your soul. through code we can finally achieve the equality that the financial world has tried to keep for themselves for way too long.
i document every single line of code because i want to turn my hours of work into no time for you to get started. once you see the systems working for you and the orders filling on the websocket you will never want to look at a manual chart ever again.
the fully automated life is waiting for anyone who is brave enough to stop asking for permission and start coding their own future. stay hungry and keep building because the machines are ready to work for you if you just give them the right instructions
tweet
it is a video game where the prize is your freedom and the boss fights are the liquidation events that try to take your soul. through code we can finally achieve the equality that the financial world has tried to keep for themselves for way too long.
i document every single line of code because i want to turn my hours of work into no time for you to get started. once you see the systems working for you and the orders filling on the websocket you will never want to look at a manual chart ever again.
the fully automated life is waiting for anyone who is brave enough to stop asking for permission and start coding their own future. stay hungry and keep building because the machines are ready to work for you if you just give them the right instructions
tweet
X (formerly Twitter)
Moon Dev (@MoonDevOnYT) on X
The Claude Code Danger Mode: How to Hit 1,347% Returns With an AI Backtest Architect
most people are out here losing their life savings to the liquidation engine while i just found a way to let the machines do the heavy lifting for me. i am going to show…
most people are out here losing their life savings to the liquidation engine while i just found a way to let the machines do the heavy lifting for me. i am going to show…
Offshore
Video
Moon Dev
Day traders and slot players both know they are going to lose
How is this your career? https://t.co/ij48GvLb23
tweet
Day traders and slot players both know they are going to lose
How is this your career? https://t.co/ij48GvLb23
tweet
Moon Dev
From $100k Spent on Devs to Printing Code: My Fully Automated Polymarket Strategy
if you are still staring at charts hoping for a miracle you have already lost the game. cracking the code to prediction markets is the only way to survive the new altcoin mania that is sweeping through polymarket right now
the reality is that most people are treating these markets like a gamble when they should be treating them like a data problem. i have spent hundreds of thousands of dollars on developers in the past because i thought i could not code myself. but after losing too much money to liquidations and over trading i realized that code is the great equalizer
most traders are running their systems the wrong way because they are too afraid to move fast. there is a hidden setting in claude code called danger mode that allows the ai to make changes without asking for permission every five seconds. it is risky but in a market this fast being slow is the biggest risk of all
the first loop i had to close was the mean reversion problem which i solved with the dr data dog bot. this strategy exploits emotional overreactions by detecting when prices deviate more than two standard deviations from the historical mean. people panic and sell when they should be looking at the 72 hour look back data
trading can rip your heart out because humans are wired for greed and fear. you cannot just work harder at trading to get better like you can with other jobs. with trading you need patience and a total lack of emotion which is why automation is the only real path to success
one of the most powerful strategies i have built is the whale copy trading bot. it automatically monitors high performing whale addresses via api and replicates their trades with smaller position sizes. we set automated profit taking at thirty percent and stop losses at twenty five percent to keep the risk managed
the big mistake most people make is trying to navigate polymarket manually because searching through those markets is a nightmare. i built a custom dashboard that shows all whale positions from the last twenty four hours in a condensed format. it sorts by the biggest size so i can see exactly where the smart money is flowing
if you want to build these bots you will run into a technical wall that stops most developers. there is a massive difference between a market slug and a clob token id. if you pass the wrong id to your limit order function the api will just spit out errors and you will miss your entry
the spread scanner is another brick in the framework that identifies bid ask arbitrage opportunities across top volume markets. my goal is to save people hundreds of hours of trying to figure out these technical hurdles. iteration is the only way to reach success so i decided to learn everything live on youtube
i remember sitting in technology meetings for ten years being scared to code because i thought it was only for stanford graduates. then i locked in and learned python because i had no choice if i wanted to stop getting liquidated. now i have fully automated systems trading for me instead of staring at candles all night
we also developed a sentiment momentum bot that tracks social media for sudden viral events. it uses nlp sentiment analysis to enter positions before mainstream awareness hits the market. catching a move before it becomes news is how you find the real edge in prediction markets
the technical side of this requires parallel processing which we handle with python threading. i built a tool that monitors pnl every thirty seconds in the background while still allowing for quick buy entries. it checks every open position and closes them instantly if they hit the target or the stop loss
there is a specific strategy called resolution timing arbitrage that most people overlook. you look for markets approaching their expiry date where uncertainty decreases but emotional trading increases. buying undervalued outcomes twenty four to forty eight hours before resol[...]
From $100k Spent on Devs to Printing Code: My Fully Automated Polymarket Strategy
if you are still staring at charts hoping for a miracle you have already lost the game. cracking the code to prediction markets is the only way to survive the new altcoin mania that is sweeping through polymarket right now
the reality is that most people are treating these markets like a gamble when they should be treating them like a data problem. i have spent hundreds of thousands of dollars on developers in the past because i thought i could not code myself. but after losing too much money to liquidations and over trading i realized that code is the great equalizer
most traders are running their systems the wrong way because they are too afraid to move fast. there is a hidden setting in claude code called danger mode that allows the ai to make changes without asking for permission every five seconds. it is risky but in a market this fast being slow is the biggest risk of all
the first loop i had to close was the mean reversion problem which i solved with the dr data dog bot. this strategy exploits emotional overreactions by detecting when prices deviate more than two standard deviations from the historical mean. people panic and sell when they should be looking at the 72 hour look back data
trading can rip your heart out because humans are wired for greed and fear. you cannot just work harder at trading to get better like you can with other jobs. with trading you need patience and a total lack of emotion which is why automation is the only real path to success
one of the most powerful strategies i have built is the whale copy trading bot. it automatically monitors high performing whale addresses via api and replicates their trades with smaller position sizes. we set automated profit taking at thirty percent and stop losses at twenty five percent to keep the risk managed
the big mistake most people make is trying to navigate polymarket manually because searching through those markets is a nightmare. i built a custom dashboard that shows all whale positions from the last twenty four hours in a condensed format. it sorts by the biggest size so i can see exactly where the smart money is flowing
if you want to build these bots you will run into a technical wall that stops most developers. there is a massive difference between a market slug and a clob token id. if you pass the wrong id to your limit order function the api will just spit out errors and you will miss your entry
the spread scanner is another brick in the framework that identifies bid ask arbitrage opportunities across top volume markets. my goal is to save people hundreds of hours of trying to figure out these technical hurdles. iteration is the only way to reach success so i decided to learn everything live on youtube
i remember sitting in technology meetings for ten years being scared to code because i thought it was only for stanford graduates. then i locked in and learned python because i had no choice if i wanted to stop getting liquidated. now i have fully automated systems trading for me instead of staring at candles all night
we also developed a sentiment momentum bot that tracks social media for sudden viral events. it uses nlp sentiment analysis to enter positions before mainstream awareness hits the market. catching a move before it becomes news is how you find the real edge in prediction markets
the technical side of this requires parallel processing which we handle with python threading. i built a tool that monitors pnl every thirty seconds in the background while still allowing for quick buy entries. it checks every open position and closes them instantly if they hit the target or the stop loss
there is a specific strategy called resolution timing arbitrage that most people overlook. you look for markets approaching their expiry date where uncertainty decreases but emotional trading increases. buying undervalued outcomes twenty four to forty eight hours before resol[...]
Offshore
Moon Dev From $100k Spent on Devs to Printing Code: My Fully Automated Polymarket Strategy if you are still staring at charts hoping for a miracle you have already lost the game. cracking the code to prediction markets is the only way to survive the new altcoin…
ution is where the panic selling happens
most people think you need a lambo and a mansion to be a successful quant but i prefer a simple life with a water view. i have not driven a car in over a decade because driving is a waste of time that could be spent coding. ubering everywhere gives me an extra edge because i can work on my phone while someone else drives
the prize in this game is freedom from the emotional roller coaster of manual trading. as jim simons said you just have to keep making your systems better because everyone else is trying to do the same. if you can't fly then run and if you can't run then walk but you must keep moving forward
we spent time today fixing the integration between the dashboard and the quick buy bot to ensure decimal formats are handled correctly. the system now automatically adjusts orders to meet the five share minimum requirement on polymarket. having a dashboard that loads instantly and gives you the exact clob id for a trade is a game changer
if you are ambitious and persistent you can get your ideas out of your brain and into an automated system. you have to bring your own sauce and your own edge to the market but the code handles the execution. once the emotion is removed the data starts to tell a very different story about what is actually happening
the future of these markets is going to be driven by ai and prediction bots that can react to news in milliseconds. i am spending at least a couple days a week building exclusively for polymarket because it is a fringe market with unlimited ideas. being at ground zero of a new market is where the most opportunity lives
it is a magical time to be alive because we have tools like claude and open ai to help us build things we don't fully comprehend. i try to do the hardest thing possible every day because that is where the growth happens. cracking the code isn't a one time event but a continuous process of making your systems better
tweet
most people think you need a lambo and a mansion to be a successful quant but i prefer a simple life with a water view. i have not driven a car in over a decade because driving is a waste of time that could be spent coding. ubering everywhere gives me an extra edge because i can work on my phone while someone else drives
the prize in this game is freedom from the emotional roller coaster of manual trading. as jim simons said you just have to keep making your systems better because everyone else is trying to do the same. if you can't fly then run and if you can't run then walk but you must keep moving forward
we spent time today fixing the integration between the dashboard and the quick buy bot to ensure decimal formats are handled correctly. the system now automatically adjusts orders to meet the five share minimum requirement on polymarket. having a dashboard that loads instantly and gives you the exact clob id for a trade is a game changer
if you are ambitious and persistent you can get your ideas out of your brain and into an automated system. you have to bring your own sauce and your own edge to the market but the code handles the execution. once the emotion is removed the data starts to tell a very different story about what is actually happening
the future of these markets is going to be driven by ai and prediction bots that can react to news in milliseconds. i am spending at least a couple days a week building exclusively for polymarket because it is a fringe market with unlimited ideas. being at ground zero of a new market is where the most opportunity lives
it is a magical time to be alive because we have tools like claude and open ai to help us build things we don't fully comprehend. i try to do the hardest thing possible every day because that is where the growth happens. cracking the code isn't a one time event but a continuous process of making your systems better
tweet
X (formerly Twitter)
Moon Dev (@MoonDevOnYT) on X
From $100k Spent on Devs to Printing Code: My Fully Automated Polymarket Strategy
if you are still staring at charts hoping for a miracle you have already lost the game. cracking the code to prediction markets is the only way to survive the new altcoin mania…
if you are still staring at charts hoping for a miracle you have already lost the game. cracking the code to prediction markets is the only way to survive the new altcoin mania…
Offshore
Photo
Moon Dev
zoom starting now
hey our private quant zoom is starting right now
you are absolutely not going to want to miss this one
check to see if there is still a ticket left
i know it is last minute but i will be here for a couple hours
grab your ticket here https://t.co/Aw7dcEw2RV
moondev
tweet
zoom starting now
hey our private quant zoom is starting right now
you are absolutely not going to want to miss this one
check to see if there is still a ticket left
i know it is last minute but i will be here for a couple hours
grab your ticket here https://t.co/Aw7dcEw2RV
moondev
tweet
Offshore
Video
Moon Dev
There is no difference between day traders and these slot ladies https://t.co/P5J4S6BKQR
tweet
There is no difference between day traders and these slot ladies https://t.co/P5J4S6BKQR
tweet
Moon Dev
The GPT-5.4 Trade Loophole: Why Every Quant Is Panicking Over OpenAI’s New ‘Agentic’ Update
gpt 5.4 just broke the financial markets and most traders are too busy looking at rsi to realize the game is already over. i have spent years watching people get liquidated because they think they can outsmart a billion dollar algorithm with their own two eyes and a mouse.
everyone is freaking out about the thinking time of this new model but they are missing the one variable that actually moves the needle for a retail guy like me. if you stay until the end you will see exactly how to set up eighteen parallel processes so you never have to watch a chart again
i call myself moon dev and i truly believe that code is the great equalizer in this world. through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code.
in the past i spent hundreds of thousands on developers for apps because i thought i would not be able to code myself. i was one of those guys who sat on the sidelines thinking coding was for geniuses or people who liked math but now we are here with fully automated systems trading for me instead of getting liquidated
most people are still using ai to write emails or funny poems while i am over here asking it to print money for me. the moment gpt 5.4 thinking and pro rolled out i dropped everything to plug it into my rbi system.
the rbi system stands for research backtest and incubate which is the only way to survive as an algorithmic trader. wait until you see the returns on the fifth strategy because it highlights why most people fail at this game before they even start
this specific system is designed to take a raw idea like a dual bollinger band system with a kalman filter as a dynamic midline and turn it into code. it is a swarm of agents working together where one agent does the research and the other does the backtesting while a third fixes the bugs.
i have it set up so that it research and backtests over and over again in a loop until it finds a winning strategy. with bots you must iterate to success so i decided to learn live on youtube and share the entire process with anyone willing to listen
the first thing you notice with gpt 5.4 pro is that it is expensive and slow but for a very specific reason. it costs thirty dollars per million tokens on input and a massive one hundred eighty dollars on output which sounds like a bag.
there was a moment where i thought the api was broken because i was getting no output back from the pro model. i was staring at my logs for fifteen minutes thinking i had wasted my time and my money on a model that was simply refusing to speak to me
it turns out the model was just thinking so hard that it consumed the entire budget on reasoning tokens before it could even print a single line of text. this is a huge shift in how we build trading bots because it means the ai is actually reasoning through the market structure instead of just guessing.
the one variable i mentioned earlier is iteration speed and the ability to fail faster than any human possibly could. i can run eighteen different strategy ideas in parallel while i am eating lunch or hanging out with my family
while the pro model was thinking i ran the regular 5.4 model on a simple stochastic reset strategy with a trend slope confirmation. the first test came back with a negative eighty six percent return which would have wiped out a hand trader in a single afternoon.
that negative eighty six percent return showed me that even the smartest ai cannot save a bad idea from the jump. the fifth strategy failed because it lacked a simple volume filter showing that even gpt 5.4 needs a human to guide the logic and provide the right framework
i used to get dragged online for using ai to code my trading bots back when chat gpt first dropped. now those same people are asking me for my github because they realize that hand trading is just a very expensive hobby.
the goal is to find s[...]
The GPT-5.4 Trade Loophole: Why Every Quant Is Panicking Over OpenAI’s New ‘Agentic’ Update
gpt 5.4 just broke the financial markets and most traders are too busy looking at rsi to realize the game is already over. i have spent years watching people get liquidated because they think they can outsmart a billion dollar algorithm with their own two eyes and a mouse.
everyone is freaking out about the thinking time of this new model but they are missing the one variable that actually moves the needle for a retail guy like me. if you stay until the end you will see exactly how to set up eighteen parallel processes so you never have to watch a chart again
i call myself moon dev and i truly believe that code is the great equalizer in this world. through losing money with liquidations and over trading i knew i had to automate my trading so i learned to code.
in the past i spent hundreds of thousands on developers for apps because i thought i would not be able to code myself. i was one of those guys who sat on the sidelines thinking coding was for geniuses or people who liked math but now we are here with fully automated systems trading for me instead of getting liquidated
most people are still using ai to write emails or funny poems while i am over here asking it to print money for me. the moment gpt 5.4 thinking and pro rolled out i dropped everything to plug it into my rbi system.
the rbi system stands for research backtest and incubate which is the only way to survive as an algorithmic trader. wait until you see the returns on the fifth strategy because it highlights why most people fail at this game before they even start
this specific system is designed to take a raw idea like a dual bollinger band system with a kalman filter as a dynamic midline and turn it into code. it is a swarm of agents working together where one agent does the research and the other does the backtesting while a third fixes the bugs.
i have it set up so that it research and backtests over and over again in a loop until it finds a winning strategy. with bots you must iterate to success so i decided to learn live on youtube and share the entire process with anyone willing to listen
the first thing you notice with gpt 5.4 pro is that it is expensive and slow but for a very specific reason. it costs thirty dollars per million tokens on input and a massive one hundred eighty dollars on output which sounds like a bag.
there was a moment where i thought the api was broken because i was getting no output back from the pro model. i was staring at my logs for fifteen minutes thinking i had wasted my time and my money on a model that was simply refusing to speak to me
it turns out the model was just thinking so hard that it consumed the entire budget on reasoning tokens before it could even print a single line of text. this is a huge shift in how we build trading bots because it means the ai is actually reasoning through the market structure instead of just guessing.
the one variable i mentioned earlier is iteration speed and the ability to fail faster than any human possibly could. i can run eighteen different strategy ideas in parallel while i am eating lunch or hanging out with my family
while the pro model was thinking i ran the regular 5.4 model on a simple stochastic reset strategy with a trend slope confirmation. the first test came back with a negative eighty six percent return which would have wiped out a hand trader in a single afternoon.
that negative eighty six percent return showed me that even the smartest ai cannot save a bad idea from the jump. the fifth strategy failed because it lacked a simple volume filter showing that even gpt 5.4 needs a human to guide the logic and provide the right framework
i used to get dragged online for using ai to code my trading bots back when chat gpt first dropped. now those same people are asking me for my github because they realize that hand trading is just a very expensive hobby.
the goal is to find s[...]
Offshore
Moon Dev The GPT-5.4 Trade Loophole: Why Every Quant Is Panicking Over OpenAI’s New ‘Agentic’ Update gpt 5.4 just broke the financial markets and most traders are too busy looking at rsi to realize the game is already over. i have spent years watching people…
trategies that hit a fifty percent return threshold before we even think about moving them to the incubation stage. we are testing things like volume profile lvn rejections and rsi failure swings with anchored vwap to see which ones actually have alpha
once those eighteen threads are humming you realize that hand trading was just a way to stress yourself out for no reason. it is not an easy way to trade but it is a much more relaxing life than being an anxiety ridden hand trader.
if you can learn to follow a system and be diligent about the rbi process you can compete with the biggest firms on wall street. code is the great equalizer because it takes the emotion out of the equation and puts you on the same level as the big hedge funds
people keep asking if ai can print money yet and the answer is hidden in the reasoning logs of these new models. it might not print money on the very first try but it allows you to iterate through a thousand ideas until you find the one that does.
i am going to use this model all week to build out a new fleet of bots because i am indifferent to which ai i use as long as it is the best. i am willing to pay the high price for pro if it means i find one strategy that can generate consistent alpha
we are living in a time where a single guy with a laptop can build a swarm of agents that work harder than a team of twenty junior analysts. it is wild to think that i used to pay people six figures to do what i can now do with a few lines of python and a credit card.
the competition is getting fierce with models like minimax and claude also fighting for the top spot in coding. competition is good for us because it means the tools are only going to get faster and cheaper while the markets stay just as volatile
if you are still staring at charts and drawing lines on your screen you are essentially bringing a knife to a gunfight. the real edge is found in the research and backtest loop where you can verify your ideas with data instead of hope.
i have seen strategies that look amazing on a chart but lose ninety percent of their value once you actually run the numbers. the ai agents help me see through the noise so i can focus on the systems that actually have a chance of winning
my rbi system has evolved from a slow one by one process to a parallel processed monster that handles twenty five different data sources. it used to take a long time to get results but now i can see the performance of multiple ideas in a matter of minutes.
eventually these models are going to get good enough to find the winning strategies without any human intervention at all. until then i am going to keep using them as a tool to do the heavy lifting while i provide the creative direction and the capital
every time a new model drops i ask it the same question and that is whether it can print me money yet. i will take shots and i will keep asking that question until the machines are doing every single part of the process for me.
learning to code was the best decision i ever made because it allowed me to scale my ideas without needing a massive team. if i can do this as a vibe coder then there is no reason why you cannot start building your own automated systems today
the pro version of 5.4 is really for the tough problems that need deeper reasoning like complex backtesting and bug fixing. i am going to lock in for the next forty hours to see if this model can actually outperform claude in a production environment.
stay consistent with your research and do not get discouraged when the first ten strategies you test come back as losers. the game of algorithmic trading is won by the person who can iterate the most and stay disciplined in their approach to the data
tweet
once those eighteen threads are humming you realize that hand trading was just a way to stress yourself out for no reason. it is not an easy way to trade but it is a much more relaxing life than being an anxiety ridden hand trader.
if you can learn to follow a system and be diligent about the rbi process you can compete with the biggest firms on wall street. code is the great equalizer because it takes the emotion out of the equation and puts you on the same level as the big hedge funds
people keep asking if ai can print money yet and the answer is hidden in the reasoning logs of these new models. it might not print money on the very first try but it allows you to iterate through a thousand ideas until you find the one that does.
i am going to use this model all week to build out a new fleet of bots because i am indifferent to which ai i use as long as it is the best. i am willing to pay the high price for pro if it means i find one strategy that can generate consistent alpha
we are living in a time where a single guy with a laptop can build a swarm of agents that work harder than a team of twenty junior analysts. it is wild to think that i used to pay people six figures to do what i can now do with a few lines of python and a credit card.
the competition is getting fierce with models like minimax and claude also fighting for the top spot in coding. competition is good for us because it means the tools are only going to get faster and cheaper while the markets stay just as volatile
if you are still staring at charts and drawing lines on your screen you are essentially bringing a knife to a gunfight. the real edge is found in the research and backtest loop where you can verify your ideas with data instead of hope.
i have seen strategies that look amazing on a chart but lose ninety percent of their value once you actually run the numbers. the ai agents help me see through the noise so i can focus on the systems that actually have a chance of winning
my rbi system has evolved from a slow one by one process to a parallel processed monster that handles twenty five different data sources. it used to take a long time to get results but now i can see the performance of multiple ideas in a matter of minutes.
eventually these models are going to get good enough to find the winning strategies without any human intervention at all. until then i am going to keep using them as a tool to do the heavy lifting while i provide the creative direction and the capital
every time a new model drops i ask it the same question and that is whether it can print me money yet. i will take shots and i will keep asking that question until the machines are doing every single part of the process for me.
learning to code was the best decision i ever made because it allowed me to scale my ideas without needing a massive team. if i can do this as a vibe coder then there is no reason why you cannot start building your own automated systems today
the pro version of 5.4 is really for the tough problems that need deeper reasoning like complex backtesting and bug fixing. i am going to lock in for the next forty hours to see if this model can actually outperform claude in a production environment.
stay consistent with your research and do not get discouraged when the first ten strategies you test come back as losers. the game of algorithmic trading is won by the person who can iterate the most and stay disciplined in their approach to the data
tweet
X (formerly Twitter)
Moon Dev (@MoonDevOnYT) on X
The GPT-5.4 Trade Loophole: Why Every Quant Is Panicking Over OpenAI’s New ‘Agentic’ Update
gpt 5.4 just broke the financial markets and most traders are too busy looking at rsi to realize the game is already over. i have spent years watching people get…
gpt 5.4 just broke the financial markets and most traders are too busy looking at rsi to realize the game is already over. i have spent years watching people get…
Offshore
Video
Moon Dev
Wall Street Doesn't Have This. Crypto's Most Powerful Hidden Signal https://t.co/vz9PG0uH4B
tweet
Wall Street Doesn't Have This. Crypto's Most Powerful Hidden Signal https://t.co/vz9PG0uH4B
tweet