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
Offshore
Video
Moon Dev
Wall Street does not want you to know that you are the product of a casino. https://t.co/00I8oMhdH7
tweet
Wall Street does not want you to know that you are the product of a casino. https://t.co/00I8oMhdH7
tweet
Moon Dev
todays zoom was wild
todays zoom was wild
i keep stacking the bonuses for everyone who joins
if you grab a ticket for tomorrows zoom you will get all the bonuses too
do not miss the next one
grab your ticket here https://t.co/JbJdIbW2p9
moondev
tweet
todays zoom was wild
todays zoom was wild
i keep stacking the bonuses for everyone who joins
if you grab a ticket for tomorrows zoom you will get all the bonuses too
do not miss the next one
grab your ticket here https://t.co/JbJdIbW2p9
moondev
tweet
X (formerly Twitter)
Moon Dev (@MoonDevOnYT) on X
todays zoom was wild
todays zoom was wild
i keep stacking the bonuses for everyone who joins
if you grab a ticket for tomorrows zoom you will get all the bonuses too
do not miss the next one
grab your ticket here https://t.co/JbJdIbW2p9
moondev
todays zoom was wild
i keep stacking the bonuses for everyone who joins
if you grab a ticket for tomorrows zoom you will get all the bonuses too
do not miss the next one
grab your ticket here https://t.co/JbJdIbW2p9
moondev