Offshore
Video
Moon Dev
Stop Paying for Data: The 10-Year Crypto History Loophole Wall Street Hides
the one thing wall street is terrified of is you getting your hands on the same data they use for free. most people think they need a massive bank account and a team of quants to even stand a chance. there is a specific secret to getting years of data that most people never figure out and it is simpler than you think.
the truth is that a single piece of code can give you access to a goldmine of information that most retail traders never even see. i had to learn this the hard way after losing more money than i care to admit through liquidations and over trading. i knew i had to automate my trading so i learned to code.
my name is moon dev and i believe that code is the great equalizer because it levels the playing field for all of us. if you can automate your logic you can finally step away from the screen and let the machines do the heavy lifting. this is how i stopped getting liquidated and started building real systems.
before i learned to code i spent hundreds of thousands of dollars on developers for apps thinking i would not be able to code myself. i was wrong and i want to show you exactly why you can do this yourself for free. there is a mistake that wipes out most accounts and i will show you how to avoid it.
the rbi system is the foundation of everything i do and it stands for research backtest and implement. most traders skip the research and backtesting phases because they just want to build a bot and get rich quick. this is exactly why they end up losing everything in a matter of days.
if you want to become a successful algorithmic trader you need to stop guessing and start following a data driven process. the research phase is where you find your edge and the backtesting phase is where you prove that edge actually works. without data you are just gambling in the dark.
hyperliquid is one of the most powerful exchanges for retail traders because it offers an incredible amount of free data. you can get the open high low close and volume for hundreds of different symbols like bitcoin and ethereum without paying a dime. this is the data that wall street tries to keep behind a paywall.
in the world of equities and futures people pay hundreds of dollars every month for this level of detail. having access to this in crypto is a massive advantage that you need to be using right now. you can change the symbol and the time frame to suit whatever strategy you are building.
most people get stuck because they can only pull about thirty days of data at a time from these exchanges. i spent years trying to figure out how to get around this limitation and the solution is incredibly elegant. you just have to loop the request backwards to build a massive library.
by fetching thirty days at a time and grabbing the prior timestamps you can build a massive library of information for your backtests. this is the secret that lets you test your strategies across every market condition imaginable. you can pull ten years of data for free if you are patient enough to set up the loop.
once you have the data you need to be able to process it quickly and that is where pandas comes into play. i use this library for everything because it allows me to become a true data dog and find patterns that others miss. it only takes a few hundred lines of code to build a world class system.
pandas allows you to create data frames that make it incredibly easy to manipulate large sets of information. you can convert the raw data from the exchange which usually comes in utc time into something you can actually use. being a data dog is the only way to survive in this game over the long run.
using version control like git is essential if you want to keep track of your progress and avoid losing your work. i always push my latest data sources and backtests to my github so i can access them from anywhere. it allows you to see exactly how your systems have evolved over time and where you[...]
Stop Paying for Data: The 10-Year Crypto History Loophole Wall Street Hides
the one thing wall street is terrified of is you getting your hands on the same data they use for free. most people think they need a massive bank account and a team of quants to even stand a chance. there is a specific secret to getting years of data that most people never figure out and it is simpler than you think.
the truth is that a single piece of code can give you access to a goldmine of information that most retail traders never even see. i had to learn this the hard way after losing more money than i care to admit through liquidations and over trading. i knew i had to automate my trading so i learned to code.
my name is moon dev and i believe that code is the great equalizer because it levels the playing field for all of us. if you can automate your logic you can finally step away from the screen and let the machines do the heavy lifting. this is how i stopped getting liquidated and started building real systems.
before i learned to code i spent hundreds of thousands of dollars on developers for apps thinking i would not be able to code myself. i was wrong and i want to show you exactly why you can do this yourself for free. there is a mistake that wipes out most accounts and i will show you how to avoid it.
the rbi system is the foundation of everything i do and it stands for research backtest and implement. most traders skip the research and backtesting phases because they just want to build a bot and get rich quick. this is exactly why they end up losing everything in a matter of days.
if you want to become a successful algorithmic trader you need to stop guessing and start following a data driven process. the research phase is where you find your edge and the backtesting phase is where you prove that edge actually works. without data you are just gambling in the dark.
hyperliquid is one of the most powerful exchanges for retail traders because it offers an incredible amount of free data. you can get the open high low close and volume for hundreds of different symbols like bitcoin and ethereum without paying a dime. this is the data that wall street tries to keep behind a paywall.
in the world of equities and futures people pay hundreds of dollars every month for this level of detail. having access to this in crypto is a massive advantage that you need to be using right now. you can change the symbol and the time frame to suit whatever strategy you are building.
most people get stuck because they can only pull about thirty days of data at a time from these exchanges. i spent years trying to figure out how to get around this limitation and the solution is incredibly elegant. you just have to loop the request backwards to build a massive library.
by fetching thirty days at a time and grabbing the prior timestamps you can build a massive library of information for your backtests. this is the secret that lets you test your strategies across every market condition imaginable. you can pull ten years of data for free if you are patient enough to set up the loop.
once you have the data you need to be able to process it quickly and that is where pandas comes into play. i use this library for everything because it allows me to become a true data dog and find patterns that others miss. it only takes a few hundred lines of code to build a world class system.
pandas allows you to create data frames that make it incredibly easy to manipulate large sets of information. you can convert the raw data from the exchange which usually comes in utc time into something you can actually use. being a data dog is the only way to survive in this game over the long run.
using version control like git is essential if you want to keep track of your progress and avoid losing your work. i always push my latest data sources and backtests to my github so i can access them from anywhere. it allows you to see exactly how your systems have evolved over time and where you[...]
Offshore
Moon Dev Stop Paying for Data: The 10-Year Crypto History Loophole Wall Street Hides the one thing wall street is terrified of is you getting your hands on the same data they use for free. most people think they need a massive bank account and a team of quants…
can improve.
python is the perfect language for this because it has such a massive ecosystem of libraries designed for data science. libraries like numpy and pathlib help you handle complex math and file paths with ease. you do not need to be a computer scientist to use these tools effectively in your trading.
you can take the code i have already written and feed it into an ai to build complex backtests in minutes. it used to take me eight hours to write a single backtest but now i can do it in seconds. this is how you replace an entire team of expensive developers with just a few lines of python.
imagine having an idea like using the adx and vwap indicators together and being able to test it across years of data instantly. this speed allows you to iterate to success much faster than any manual trader ever could. you can find out exactly what works and what does not before you ever risk a single dollar.
the reason i share all of this is because i know what it feels like to be on the losing side of a trade. i believe that everyone should have the tools to build their own systems and stop relying on luck. code allows you to take your emotions out of the equation and trade with pure logic.
to get started you need a reliable way to fetch historical data without hitting rate limits or paying fees. i have put together a script that connects to the hyperliquid api and pulls everything you need into a clean csv file. you can set the batch size and the number of rows to get exactly the data you need.
this process used to be reserved for the big players on wall street but now it is available to anyone with an internet connection. the secret is to use the requests library in python to make calls to the exchange and then clean the data with pandas. you can be up and running in less than ten minutes.
every exchange has a slightly different way of providing data but the core principles remain the same. once you learn how to connect to hyperliquid you can easily apply the same logic to binance kraken or coinbase. this flexibility allows you to find opportunities across different markets and diversify your risk.
i am still here chasing the legend jim simons and building systems that work while i sleep. the goal is not just to make money but to build something that lasts and gives you back your time. code gives you the freedom to walk away from the computer while your bots handle the stress.
being a data dog means you are constantly looking for new ways to gain an advantage through information. you are not just looking at charts but analyzing the underlying volume and price movements that drive the market. this depth of understanding is what separates the winners from everyone else.
i have put together a complete roadmap that shows you exactly how to go from a beginner to a fully automated trader. it covers everything from finding a strategy to using ai to help you write the code. this is the ultimate tool for anyone who wants to become a serious data dog.
you do not need to join a fancy bootcamp or spend thousands of dollars to get started with this. i am giving away the roadmap for free because i want to see more people succeed in this space. just put your name and email in and you will have everything you need to start your journey.
the path to financial freedom through trading is paved with data and the discipline to follow your own rules. if you can master the code you can master the markets and finally take control of your future. the great equalizer is right in front of you and it is time to start using it.
everything you need is already available if you are willing to put in the work and stay curious. the days of getting liquidated because of emotions and over trading are over for those who choose to automate. i will see you on the other side of the screen as we continue to chase success together
tweet
python is the perfect language for this because it has such a massive ecosystem of libraries designed for data science. libraries like numpy and pathlib help you handle complex math and file paths with ease. you do not need to be a computer scientist to use these tools effectively in your trading.
you can take the code i have already written and feed it into an ai to build complex backtests in minutes. it used to take me eight hours to write a single backtest but now i can do it in seconds. this is how you replace an entire team of expensive developers with just a few lines of python.
imagine having an idea like using the adx and vwap indicators together and being able to test it across years of data instantly. this speed allows you to iterate to success much faster than any manual trader ever could. you can find out exactly what works and what does not before you ever risk a single dollar.
the reason i share all of this is because i know what it feels like to be on the losing side of a trade. i believe that everyone should have the tools to build their own systems and stop relying on luck. code allows you to take your emotions out of the equation and trade with pure logic.
to get started you need a reliable way to fetch historical data without hitting rate limits or paying fees. i have put together a script that connects to the hyperliquid api and pulls everything you need into a clean csv file. you can set the batch size and the number of rows to get exactly the data you need.
this process used to be reserved for the big players on wall street but now it is available to anyone with an internet connection. the secret is to use the requests library in python to make calls to the exchange and then clean the data with pandas. you can be up and running in less than ten minutes.
every exchange has a slightly different way of providing data but the core principles remain the same. once you learn how to connect to hyperliquid you can easily apply the same logic to binance kraken or coinbase. this flexibility allows you to find opportunities across different markets and diversify your risk.
i am still here chasing the legend jim simons and building systems that work while i sleep. the goal is not just to make money but to build something that lasts and gives you back your time. code gives you the freedom to walk away from the computer while your bots handle the stress.
being a data dog means you are constantly looking for new ways to gain an advantage through information. you are not just looking at charts but analyzing the underlying volume and price movements that drive the market. this depth of understanding is what separates the winners from everyone else.
i have put together a complete roadmap that shows you exactly how to go from a beginner to a fully automated trader. it covers everything from finding a strategy to using ai to help you write the code. this is the ultimate tool for anyone who wants to become a serious data dog.
you do not need to join a fancy bootcamp or spend thousands of dollars to get started with this. i am giving away the roadmap for free because i want to see more people succeed in this space. just put your name and email in and you will have everything you need to start your journey.
the path to financial freedom through trading is paved with data and the discipline to follow your own rules. if you can master the code you can master the markets and finally take control of your future. the great equalizer is right in front of you and it is time to start using it.
everything you need is already available if you are willing to put in the work and stay curious. the days of getting liquidated because of emotions and over trading are over for those who choose to automate. i will see you on the other side of the screen as we continue to chase success together
tweet
Offshore
Photo
Quartr
Dollar General has spent over 80 years building one of the most dominant businesses in American retail, going where larger retailers won't.
Here are three visuals from our Dollar General deep dive.
1. Three decades of $DG: https://t.co/FJxwlUproT
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Dollar General has spent over 80 years building one of the most dominant businesses in American retail, going where larger retailers won't.
Here are three visuals from our Dollar General deep dive.
1. Three decades of $DG: https://t.co/FJxwlUproT
tweet
Offshore
Video
Moon Dev
I used to lose so much money due to emotions
But these don’t have emotions https://t.co/3oWtgRqclN
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I used to lose so much money due to emotions
But these don’t have emotions https://t.co/3oWtgRqclN
tweet
Moon Dev
I Built 3 Trading Bots That Run 24/7
Here's What They Made While I Slept https://t.co/wkx7KuGH5q
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I Built 3 Trading Bots That Run 24/7
Here's What They Made While I Slept https://t.co/wkx7KuGH5q
tweet
Offshore
Photo
Quartr
Acuity Analytics, serving over 850 financial institutions, now uses Quartr API to power agentic earnings analysis. https://t.co/ywV6x2HYAB
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Acuity Analytics, serving over 850 financial institutions, now uses Quartr API to power agentic earnings analysis. https://t.co/ywV6x2HYAB
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Moon Dev
The 34% Return Unicorn Edge (Deleting This Internal Leak in 72 Hours)
deleting this in seventy two hours is the only way to protect the massive edge we just discovered with these internal quant bots. if you knew that a single computer could launch a swarm of agents to find a strategy with a thirty four percent return and a three percent drawdown you would never look at a chart again
there is a hidden framework that turns a standard llm into a swarm of agents that can backtest a thousand strategies while you eat breakfast. most people are still staring at candles and losing their shirts in the solana trenches while we are building a headless army that scans social media for trends wall street hasn't even heard of yet
i will show you how to connect these pieces but first you need to understand why your current approach is keeping you liquidated. code is the great equalizer because i used to be the guy getting liquidated every single morning and losing sleep over every single tick
i spent hundreds of thousands of dollars on developers for apps in the past because i was too scared to learn how to code myself. after losing enough money to overtrading i realized that the only way to win was to automate my logic and stop guessing
my name is moon dev and i decided to learn how to code live on the internet because i knew that iterating to success was the only path forward. w bots you must iterate to success so i decided to learn live on youtube and now we have fully automated systems trading for us instead of getting smoked by emotions
the secret to this game is not having a better brain but having a better system that doesn't sleep or feel fear. if you can build a system that iterates to success you can effectively replace a team of senior engineers for the cost of a coffee
we are currently in day two of using this new clawbot setup and the results are already starting to feel like cheating. i run this on a separate computer using chrome remote desktop so i can stay mobile and chill on the couch while the bots are grinding
my dog actually bit through the screen of my expensive macbook so now it functions more like a mac mini in my quant lab. you don't need a massive big dog for protection when you are the big dog the data dog
using tools like open claw allows you to spawn parallel agents that dig through repositories and come up with dozens of new ideas. these agents don't just write code but they can actually run backtests and compile master results for you to analyze
we use a visualization tool called crabwalk to see what these sub agents are actually doing in the background. it allows us to plan and review the work being done by the agents instead of just watching terminal logs all day
one of the most interesting things we found is that a strategy can look like a monster in a backtest but fall apart the moment you test it for robustness. there is a specific six hour timeframe on bitcoin that acts as a unicorn edge for reversal strategies while everything else fails
the process starts with the rbi system which stands for research backtest and incubate. most retail traders skip the backtesting and go straight to implementing with real money which is a recipe for disaster
i think of implement as low key incubate where you run bots with a tiny ten dollar size for a month to see if they match the backtest. with hyperliquid you can run bots with very small capital to forward test your ideas in the real market
we use these agents to research a thousand unique templates covering everything from bollinger bands to ema crosses. the bots recently performed a showdown between reversal and momentum strategies and the results were a total massacre
out of the twenty reversal strategies tested on btc six hour data nineteen were profitable while only four momentum strategies survived. this proves that the market dynamics on longer timeframes favor mean reversion over chasing the move
while we were convinced earlier that momentum was [...]
The 34% Return Unicorn Edge (Deleting This Internal Leak in 72 Hours)
deleting this in seventy two hours is the only way to protect the massive edge we just discovered with these internal quant bots. if you knew that a single computer could launch a swarm of agents to find a strategy with a thirty four percent return and a three percent drawdown you would never look at a chart again
there is a hidden framework that turns a standard llm into a swarm of agents that can backtest a thousand strategies while you eat breakfast. most people are still staring at candles and losing their shirts in the solana trenches while we are building a headless army that scans social media for trends wall street hasn't even heard of yet
i will show you how to connect these pieces but first you need to understand why your current approach is keeping you liquidated. code is the great equalizer because i used to be the guy getting liquidated every single morning and losing sleep over every single tick
i spent hundreds of thousands of dollars on developers for apps in the past because i was too scared to learn how to code myself. after losing enough money to overtrading i realized that the only way to win was to automate my logic and stop guessing
my name is moon dev and i decided to learn how to code live on the internet because i knew that iterating to success was the only path forward. w bots you must iterate to success so i decided to learn live on youtube and now we have fully automated systems trading for us instead of getting smoked by emotions
the secret to this game is not having a better brain but having a better system that doesn't sleep or feel fear. if you can build a system that iterates to success you can effectively replace a team of senior engineers for the cost of a coffee
we are currently in day two of using this new clawbot setup and the results are already starting to feel like cheating. i run this on a separate computer using chrome remote desktop so i can stay mobile and chill on the couch while the bots are grinding
my dog actually bit through the screen of my expensive macbook so now it functions more like a mac mini in my quant lab. you don't need a massive big dog for protection when you are the big dog the data dog
using tools like open claw allows you to spawn parallel agents that dig through repositories and come up with dozens of new ideas. these agents don't just write code but they can actually run backtests and compile master results for you to analyze
we use a visualization tool called crabwalk to see what these sub agents are actually doing in the background. it allows us to plan and review the work being done by the agents instead of just watching terminal logs all day
one of the most interesting things we found is that a strategy can look like a monster in a backtest but fall apart the moment you test it for robustness. there is a specific six hour timeframe on bitcoin that acts as a unicorn edge for reversal strategies while everything else fails
the process starts with the rbi system which stands for research backtest and incubate. most retail traders skip the backtesting and go straight to implementing with real money which is a recipe for disaster
i think of implement as low key incubate where you run bots with a tiny ten dollar size for a month to see if they match the backtest. with hyperliquid you can run bots with very small capital to forward test your ideas in the real market
we use these agents to research a thousand unique templates covering everything from bollinger bands to ema crosses. the bots recently performed a showdown between reversal and momentum strategies and the results were a total massacre
out of the twenty reversal strategies tested on btc six hour data nineteen were profitable while only four momentum strategies survived. this proves that the market dynamics on longer timeframes favor mean reversion over chasing the move
while we were convinced earlier that momentum was [...]
Offshore
Moon Dev The 34% Return Unicorn Edge (Deleting This Internal Leak in 72 Hours) deleting this in seventy two hours is the only way to protect the massive edge we just discovered with these internal quant bots. if you knew that a single computer could launch…
the king of the intraday charts the six hour reversal strategies absolutely obliterated the competition. the data proves that btc six hour reversal is a unique edge because bitcoin has the deepest liquidity to exhaust cascades
having access to onchain liquidation data is the ultimate unfair advantage because it shows you exactly where the most pain is located. we can see when sixty billion dollars in positions are getting wiped out and use that as a high probability signal
the bots use a p ninety nine threshold which means they only trigger on the most extreme one percent of short liquidation events. this level of precision gives you an edge decay that is incredibly low compared to standard retail strategies
we can now verify these findings with a two gigabyte liquidation dataset that covers over eighteen months of market history. we found that eth and sol cascades often just keep going while btc is the only one that genuinely exhausts and snaps back
i spent years beating on my craft to find these patterns and now we are automating the entire discovery phase with parallel agents. being a data dog means you follow the results even when they contradict your initial gut feeling
beyond price action we are now building agents that can browse tiktok without a visible window to find consumer trends before they hit wall street. these agents use local whisper to transcribe videos and extract brand names that people are saying are sold out everywhere
this social arbitrage allows us to find companies like abercrombie or specific tech brands before the old guys in suits even know they exist. we used undetected chromium to bypass bot detection and log into accounts to get personalized us based trends
if you can have an ai watch a thousand videos and tell you which products are going viral you are frontrunning the market. it can even identify small brands that are about to explode based on the transcripts of little silly videos
most people think this requires a supercomputer but you can actually run these swarms on a standard mac mini or even a gaming pc. i prefer using cloud services like lambda labs to deploy massive models for a few dollars an hour instead of sinking money into hardware
right now ai is heavily subsidized by venture capital so we are burning their cash to build our systems for cheap. i am prepared to spend hundreds a month on this because it is still cheaper than hiring one developer on upwork
we just finished a massacre of forty five strategies and found that one specific reversal pattern is ten times better than anything else we have tested. i am going to push this logic to my private github but you need to understand the risk factors before you put it live
the biggest benefit of this automated life is that your anxiety goes down because you aren't gambling with your life savings every morning. you stop being a cog in someone else's thinking and start following your own intuition backed by cold hard data
if the system says a strategy is robust on a five minute chart but trash on an hourly you listen to the data and throw the idea out. we are also testing poly market bots and solana copytraders to see where the real cash is flowing
it turns out copytrading winners on solana is harder than it looks because fees and slippage eat up most of the gains. the trenches are cooked so we focus on systems that actually compound over the long run
the goal is to stay hungry and stay foolish while we chase the big prizes and build our own version of rentech. we iterate until we win because we know that money replenishes but your time does not
we are building a squad of data dogs that are taking shots every single day until we own the entire board. the great equalizer is here and it's time to stop staring at the charts and start building the future
tweet
having access to onchain liquidation data is the ultimate unfair advantage because it shows you exactly where the most pain is located. we can see when sixty billion dollars in positions are getting wiped out and use that as a high probability signal
the bots use a p ninety nine threshold which means they only trigger on the most extreme one percent of short liquidation events. this level of precision gives you an edge decay that is incredibly low compared to standard retail strategies
we can now verify these findings with a two gigabyte liquidation dataset that covers over eighteen months of market history. we found that eth and sol cascades often just keep going while btc is the only one that genuinely exhausts and snaps back
i spent years beating on my craft to find these patterns and now we are automating the entire discovery phase with parallel agents. being a data dog means you follow the results even when they contradict your initial gut feeling
beyond price action we are now building agents that can browse tiktok without a visible window to find consumer trends before they hit wall street. these agents use local whisper to transcribe videos and extract brand names that people are saying are sold out everywhere
this social arbitrage allows us to find companies like abercrombie or specific tech brands before the old guys in suits even know they exist. we used undetected chromium to bypass bot detection and log into accounts to get personalized us based trends
if you can have an ai watch a thousand videos and tell you which products are going viral you are frontrunning the market. it can even identify small brands that are about to explode based on the transcripts of little silly videos
most people think this requires a supercomputer but you can actually run these swarms on a standard mac mini or even a gaming pc. i prefer using cloud services like lambda labs to deploy massive models for a few dollars an hour instead of sinking money into hardware
right now ai is heavily subsidized by venture capital so we are burning their cash to build our systems for cheap. i am prepared to spend hundreds a month on this because it is still cheaper than hiring one developer on upwork
we just finished a massacre of forty five strategies and found that one specific reversal pattern is ten times better than anything else we have tested. i am going to push this logic to my private github but you need to understand the risk factors before you put it live
the biggest benefit of this automated life is that your anxiety goes down because you aren't gambling with your life savings every morning. you stop being a cog in someone else's thinking and start following your own intuition backed by cold hard data
if the system says a strategy is robust on a five minute chart but trash on an hourly you listen to the data and throw the idea out. we are also testing poly market bots and solana copytraders to see where the real cash is flowing
it turns out copytrading winners on solana is harder than it looks because fees and slippage eat up most of the gains. the trenches are cooked so we focus on systems that actually compound over the long run
the goal is to stay hungry and stay foolish while we chase the big prizes and build our own version of rentech. we iterate until we win because we know that money replenishes but your time does not
we are building a squad of data dogs that are taking shots every single day until we own the entire board. the great equalizer is here and it's time to stop staring at the charts and start building the future
tweet
X (formerly Twitter)
Moon Dev (@MoonDevOnYT) on X
The 34% Return Unicorn Edge (Deleting This Internal Leak in 72 Hours)
deleting this in seventy two hours is the only way to protect the massive edge we just discovered with these internal quant bots. if you knew that a single computer could launch a swarm…
deleting this in seventy two hours is the only way to protect the massive edge we just discovered with these internal quant bots. if you knew that a single computer could launch a swarm…