Offshore
Video
Moon Dev
The AI Agent Swarm: How To Automate 19 Quant Strategies In Under 18 Minutes
trading is a game of psychology where the house always wins because humans are hardwired to make the worst decisions at the most expensive times. most people approach the charts with a gut feeling and a prayer but i realized early on that my emotions were the only thing standing between me and a consistent equity curve. if you have ever moved your stop loss or stayed up all night staring at a 1 minute candle then you already know that you are your own worst enemy. the reality is that a stanford professor once told me that we literally cannot think logically when we are in an emotional state. that is why i decided to turn my entire process over to the machines and build a system that never sleeps and never feels fear. but there is a specific three step framework i use called rbi that allows me to build 19 different strategies in less than twenty minutes while most traders are still trying to find their first indicator. i am going to show you exactly how this works because once you see the speed of ai agents you will never look at a manual trade the same way again
the first step is research and most people get this completely wrong by looking for the holy grail in some paid discord group. i prefer to hunt for alpha in plain sight on places like google scholar or twitter where the real quants are dropping gems for free. i recently found a thread about adx indicators where a professional breakout specialist claimed that stability beats optimization every single time. this sparked a thought loop in my head because if i could find universal parameters that work across entire sectors i would have a massive edge. most traders find one idea and spend weeks trying to make it work but i want a bucket of ideas that i can test in parallel. the secret is that i don't even have to understand the math behind every indicator anymore because i have a team of ai agents that can translate a simple tweet into a fully functional backtest. this is where the rbi system really starts to pull away from the pack and i want to show you how i scaled my testing from four hours per strategy down to just a few seconds
backtesting is the second pillar and it is where most dreams go to die because coding is hard and slow for most people. i spent hundreds of thousands of dollars on developers in the past because i thought i was too dumb to code myself. eventually i realized that code is the great equalizer and if i could just learn enough to guide the ai then i could outwork entire hedge funds from my bedroom. i built an agent swarm that takes a text file of ideas and starts coding and testing them all at once without me lifting a finger. you can see it working in real time as it creates folders and outputs data on things like sharpe ratios and maximum drawdowns. the goal isn't to find one perfect strategy but to find the outliers that have a quantifiable edge in the past data. if a strategy worked for ten years it is much more likely to work tomorrow than a random guess based on how you feel after your morning coffee. but there is a specific metric i look at called exposure time that most people ignore and it is the secret to staying alive in these volatile markets
exposure time is basically how long your money is actually at risk in the market and i want that number as low as possible. i found a strategy today that had a high return with only point twelve percent exposure time which is absolutely insane. most traders are sitting in positions for days hoping for a move while their capital is stuck and vulnerable to black swan events. my bots are looking for those tiny windows of opportunity where the probability is heavily skewed in our favor and then they get out. i use claude to help me refine these codes and fix bugs because even the best ai agents make mistakes sometimes. it is a continuous loop of iteration where i am the architect and the machines are the builders. the beautiful thing about this is t[...]
The AI Agent Swarm: How To Automate 19 Quant Strategies In Under 18 Minutes
trading is a game of psychology where the house always wins because humans are hardwired to make the worst decisions at the most expensive times. most people approach the charts with a gut feeling and a prayer but i realized early on that my emotions were the only thing standing between me and a consistent equity curve. if you have ever moved your stop loss or stayed up all night staring at a 1 minute candle then you already know that you are your own worst enemy. the reality is that a stanford professor once told me that we literally cannot think logically when we are in an emotional state. that is why i decided to turn my entire process over to the machines and build a system that never sleeps and never feels fear. but there is a specific three step framework i use called rbi that allows me to build 19 different strategies in less than twenty minutes while most traders are still trying to find their first indicator. i am going to show you exactly how this works because once you see the speed of ai agents you will never look at a manual trade the same way again
the first step is research and most people get this completely wrong by looking for the holy grail in some paid discord group. i prefer to hunt for alpha in plain sight on places like google scholar or twitter where the real quants are dropping gems for free. i recently found a thread about adx indicators where a professional breakout specialist claimed that stability beats optimization every single time. this sparked a thought loop in my head because if i could find universal parameters that work across entire sectors i would have a massive edge. most traders find one idea and spend weeks trying to make it work but i want a bucket of ideas that i can test in parallel. the secret is that i don't even have to understand the math behind every indicator anymore because i have a team of ai agents that can translate a simple tweet into a fully functional backtest. this is where the rbi system really starts to pull away from the pack and i want to show you how i scaled my testing from four hours per strategy down to just a few seconds
backtesting is the second pillar and it is where most dreams go to die because coding is hard and slow for most people. i spent hundreds of thousands of dollars on developers in the past because i thought i was too dumb to code myself. eventually i realized that code is the great equalizer and if i could just learn enough to guide the ai then i could outwork entire hedge funds from my bedroom. i built an agent swarm that takes a text file of ideas and starts coding and testing them all at once without me lifting a finger. you can see it working in real time as it creates folders and outputs data on things like sharpe ratios and maximum drawdowns. the goal isn't to find one perfect strategy but to find the outliers that have a quantifiable edge in the past data. if a strategy worked for ten years it is much more likely to work tomorrow than a random guess based on how you feel after your morning coffee. but there is a specific metric i look at called exposure time that most people ignore and it is the secret to staying alive in these volatile markets
exposure time is basically how long your money is actually at risk in the market and i want that number as low as possible. i found a strategy today that had a high return with only point twelve percent exposure time which is absolutely insane. most traders are sitting in positions for days hoping for a move while their capital is stuck and vulnerable to black swan events. my bots are looking for those tiny windows of opportunity where the probability is heavily skewed in our favor and then they get out. i use claude to help me refine these codes and fix bugs because even the best ai agents make mistakes sometimes. it is a continuous loop of iteration where i am the architect and the machines are the builders. the beautiful thing about this is t[...]
Offshore
Moon Dev The AI Agent Swarm: How To Automate 19 Quant Strategies In Under 18 Minutes trading is a game of psychology where the house always wins because humans are hardwired to make the worst decisions at the most expensive times. most people approach the…
hat i can test nineteen different versions of a strategy in the time it takes you to eat lunch. this volume of data gives me the confidence to move to the final step which is implementation without the typical fear of losing it all
implementation is the final eye in rbi and it is where you turn your backtest into a living breathing trading bot. i always start with tiny size because a backtest is just a map and the real market is the terrain. if the live results don't match the historical data then i know something is wrong and i can kill the bot before it does any real damage. i spent years getting liquidated and losing money because i was over trading and using too much leverage on a whim. now i have fully automated systems that sit one tick in front of the biggest orders in the book using high frequency logic. i am building this all live on youtube because i want to show that anyone can do this if they are willing to iterate to success. wall street wants you to think this is a secret club for geniuses but they are just using the same logic and faster computers. i am giving away the roadmap and the code because i believe that when we all have access to these tools the playing field finally becomes level
the final piece of the puzzle is understanding that this is a numbers game and you have to be willing to fail fast and often. i might run a hundred backtests today and only find one or two that are worth putting a single dollar behind. the reason i am successful now is because i stopped trying to be right and started trying to be logical. my ai agents are currently scanning the markets and running tests while i am talking to you and that is the power of automation. if you are still clicking buttons manually you are competing against machines that don't get tired and don't care about their bank account balance. i decided to stop being the liquidity for the big players and started building the tools to join them. you have to decide if you want to keep guessing or if you want to start building a system that can actually scale. the code is out there and the tools are free so the only thing left is for you to decide to stop being the emotional human and start being the rational architect of your own financial future
tweet
implementation is the final eye in rbi and it is where you turn your backtest into a living breathing trading bot. i always start with tiny size because a backtest is just a map and the real market is the terrain. if the live results don't match the historical data then i know something is wrong and i can kill the bot before it does any real damage. i spent years getting liquidated and losing money because i was over trading and using too much leverage on a whim. now i have fully automated systems that sit one tick in front of the biggest orders in the book using high frequency logic. i am building this all live on youtube because i want to show that anyone can do this if they are willing to iterate to success. wall street wants you to think this is a secret club for geniuses but they are just using the same logic and faster computers. i am giving away the roadmap and the code because i believe that when we all have access to these tools the playing field finally becomes level
the final piece of the puzzle is understanding that this is a numbers game and you have to be willing to fail fast and often. i might run a hundred backtests today and only find one or two that are worth putting a single dollar behind. the reason i am successful now is because i stopped trying to be right and started trying to be logical. my ai agents are currently scanning the markets and running tests while i am talking to you and that is the power of automation. if you are still clicking buttons manually you are competing against machines that don't get tired and don't care about their bank account balance. i decided to stop being the liquidity for the big players and started building the tools to join them. you have to decide if you want to keep guessing or if you want to start building a system that can actually scale. the code is out there and the tools are free so the only thing left is for you to decide to stop being the emotional human and start being the rational architect of your own financial future
tweet
Offshore
Photo
Quartr
RT @OscarValuations: Mentions of private credit across transcripts, slides, and reports have grown steadily, reaching new peaks in the most recent quarters. I pulled some of the most direct commentary from executives across the space. https://t.co/gvC17frFuX
tweet
RT @OscarValuations: Mentions of private credit across transcripts, slides, and reports have grown steadily, reaching new peaks in the most recent quarters. I pulled some of the most direct commentary from executives across the space. https://t.co/gvC17frFuX
https://t.co/OzU09LaqyX - Oscartweet