Moon Dev
you missed it but…

you missed a crazy private zoom today

but you still have the chance to join tomorrows zoom

grab a ticket now if there are still some available

i will see you tomorrow on the zoom

join here https://t.co/JbJdIbVuzB

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Moon Dev
The GPT 5.4 Swarm: How To Build A Fully Autonomous Trading Desk In 4 Hours

if you think gpt 5.4 is just another chatbot you are about to watch your trading account get left in the dust by people who actually know how to leverage the newest frontier models. most people are still stuck drawing lines on charts while the elite are building autonomous swarms that research and backtest strategies at a scale that was impossible even six months ago

i used to spend hundreds of thousands of dollars on developers because i thought i was too dumb to code but there is a specific way to use these new agents that turns your ideas into automated systems in minutes. the reality is that code is the great equalizer because it allows a single person to compete with massive hedge funds without needing a room full of quants

the first loop you need to understand is my rbi system which stands for research backtest and incubate. it is a framework i built to handle the constant flow of ideas that used to just sit in my head or get me liquidated through over trading. by automating the research phase i can take a raw concept like a dual bollinger band system and have a full strategy report written in seconds

most traders fail because they get emotionally attached to a single idea that they saw on social media. i prefer to let eighteen parallel processes run at the same time to see which ones actually have a statistical edge in the market. this approach removes the anxiety of hand trading because you are looking at cold hard data instead of hoping for a green candle

everyone wants to know if these models can actually print money and the answer depends on one specific variable that most traders ignore. that variable is the iteration speed because the first version of any bot is usually going to be a disaster. you have to be willing to fail fast and let the ai optimize your logic until you hit that fifty percent target return

the new gpt 5.4 pro model is a beast with thirty dollar input and one hundred and eighty dollar output fees which sounds insane to the average person. however if that model can find just one winning strategy per hour the upside is completely unlimited. the secret to making this work is understanding how to manage the reasoning tokens so the ai does not burn your entire budget on thinking without giving you any actual code

i found that the regular 5.4 model is lightning fast for general tasks but the pro version is where the deep reasoning happens for complex backtesting. there was a moment where i thought the system was broken because it kept returning no output in the logs. it turns out the model was just consuming thousands of tokens internally to solve the hardest math problems before showing me the final result

by upping the token budget and removing the output caps i was able to unlock the real power of these frontier models. this is the same level of technology that was reserved for the biggest players on wall street just a few years ago. now you can run the same tests on your laptop for the price of a decent lunch while you go about your day

one of the strategies we just tested involved a volume profile rejection combined with stochastic resets and trend slope confirmation. it is a sophisticated way to look at the market that would take a human hours to calculate for every single bar. the agent handles the heavy lifting by fetching the data and applying the logic across twenty five different sources simultaneously

another interesting approach is using an anchored vwap with rsi failure swings and adx expansion filters. the ai is able to write the code for these indicators and then backtest them to see if they actually produce alpha. most of the time the initial results are negative eighty percent but that is just part of the process of finding the winners

it is much easier to trade this way mentally because you are no longer the one making the decisions in the heat of the moment. being a hand trader is an anxiety ridden life wher[...]

e every tick against you feels like a personal attack. when you move to a fully automated system you can actually enjoy your life while the bots handle the execution

i learned to code only two years before the first ai models were dropped and i spent years getting dragged for using them to build my systems. now everyone is realizing that if you can describe a strategy you can build it with the right tools. you do not need a computer science degree to automate your trading but you do need to be diligent about following a system

the final loop is the transition from a backtest to a live bot which i call the incubation phase. even if a strategy looks amazing on paper you have to test it in the real market with small size to see how it handles slippage and fees. this is the bridge between a theoretical idea and a consistent money printing machine that runs without your input

i believe that the goal is to shoot for the moon with the most ambitious ideas you can imagine. why wouldn't you ask a frontier model to find a way to print money when it has access to the sum of human knowledge. the technology is finally at a point where the only limit is your ability to describe the logic and manage the agents

if you are still hand trading and feeling the weight of every loss you are playing a game that is rigged against you. the future belongs to those who can bridge the gap between human intuition and machine execution. take the shots and keep iterating because the great equalizer is finally here and it is ready to work for you if you are willing to learn the code
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Quartr
Edge #74: Reddit

Every day, millions of people research something the
same way: by adding "Reddit" to the end of a Google search. How did a forum become the internet's most trusted source?

Coming to your inbox in a few hours. https://t.co/8VBHd4f31t
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Moon Dev
If you’re a hand trader this is how you automate it https://t.co/tyPcQC5h2g
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Moon Dev
The $200/Month Claude Code Tax: How To Get Opus Performance For Exactly $10

you are currently paying a two hundred dollar monthly tax for your ai tools simply because you do not know about the backdoor that the biggest pros are using right now. it feels like anthropic has us all by the throat with their pricing but there is a way to get the exact same performance for about ten bucks a month

i am going to show you exactly how i set this up so i can run six different projects at the same time without worrying about my bank account or my usage limits. if you have been using claude code lately you know it is the most powerful agentic framework out there but the bill at the end of the month can be absolutely soul crushing

i know this because i am a pro user who uses it all day every day to build out my trading systems. most people are stuck paying the standard rates because they think there is no other option but i found a simple way to make your setup twenty times cheaper without losing the quality of your outputs

there is a massive secret in the ai world where models are being distilled and remixed to the point where you can get opus level intelligence for a fraction of the cost. i am talking about a model called minimax m2.5 which is currently sitting in that sweet spot between sonnet and opus level reasoning

this is the kind of alpha that usually stays hidden in private discord chats but i believe that code is the great equalizer and everyone deserves access to these tools. if you are tired of hitting usage limits right when you are in the middle of a flow state then you need to pay close attention to this specific setup

the first loop we need to close is how you actually connect a chinese model to a terminal built by anthropic. it sounds like it would be a technical nightmare but it is actually just a few lines of configuration in your settings file

you essentially just point your terminal at the minimax api endpoint and swap out your secret key. the crazy part is that minimax is literally twenty times cheaper than what you are likely paying right now for the official plan

we are talking about ten dollars for a hundred prompts every five hours which is a limit that almost nobody will ever actually hit in a real coding session. compare that to the two hundred dollar a month barrier and you start to realize how much money you have been leaving on the table

some people will tell you that you should never send your data to certain regions because of privacy concerns but i have a very different take on that. i have ten android phones in my house and i know that everyone is already listening so i prioritize speed and cost over everything else

if a model is cheap and fast and good i am going to use it to build my wealth regardless of where it comes from. that is the reality of the game we are playing and if you want to win you have to be willing to use the most efficient tools available

this brings us to a much deeper loop about how to actually find success in a pvp industry like algorithmic trading. i spent hundreds of thousands of dollars on developers in the past because i thought i was not smart enough to code the systems myself

i was getting liquidated and over trading because i was emotional and i knew that automation was the only way out of the hole. it was only when i decided to learn live on youtube and iterate in public that i finally found the systems that work for me

the secret to my success was not coming up with some genius original idea that nobody else had ever thought of before. it was actually the opposite because i realized that nothing is truly original and that great artists always steal from the best

if you read the book steal like an artist you will understand that the best creators just find things that work and then they remix them until they are better. i applied this exact same logic to my trading through what i call the rbi system which stands for research backtest and implement

most traders fa[...]

il because they try to be too unique instead of just looking at what the big funds and the phd researchers are already doing. you can go on google scholar or read old trading books and find logic that has worked for decades and then just automate it

this is how i built my entire library of bots and why i am able to stay fully automated instead of staring at charts all day. i take an idea from a podcast or a white paper and i use these cheap ai models to write the code for a backtest in seconds

the beautiful thing about using a setup like the ten dollar minimax backend is that it removes the friction of experimentation. when it costs you pennies to fail you are much more likely to keep trying until you find the strategy that actually prints money

if you are worried about how to switch back to your original setup if things do not work out then do not stress because it is just as easy to undo. you just keep a backup of your original configuration file and you can swap between the expensive and the cheap models whenever you want

i actually keep both ready to go because i like to have a backup plan for when i inevitably hit some kind of weird limit or if one model is acting up. having this kind of flexibility is what separates the people who just play with ai from the people who actually use it to build a career

the industry is filled with people who want to gatekeep information because they are scared of competition but i have found that the more i give away the more i get back. i only found out about this minimax secret because someone in my community shared it with me after seeing how much value i provide

this abundance mindset is the final loop that you need to close if you want to actually make it in this world. when you share your tools and your logic you attract other high level people who will then share their secrets with you in return

you can spend your time trying to be the smartest person in the room or you can spend your time building a system that allows you to be the most persistent. i choose persistence every single day because i know that code is the only thing that can truly level the playing field for a regular person

if you want to stop getting liquidated and start building real systems then you need to stop making excuses about the cost of tools. the backdoor is open and the tools are cheaper than they have ever been so there is nothing stopping you from automating your entire life

i am going to keep building and sharing everything i find because i want to see more people break free from the manual trading trap. just remember that the best time to start was yesterday but the second best time is right now with a ten dollar setup and a dream
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Moon Dev
You’re not a bad trader

You are just not doing the work https://t.co/sU21OCVjMi
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Moon Dev
Have you ever wondered why all the best traders use bots? https://t.co/DMKJaLshgf
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Moon Dev
He just dropped the trade bot bible https://t.co/0Hq9s79W7n
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Moon Dev
If you are not using bots to trade in 2026

You’re probably not going to last https://t.co/cKga0OMJhw
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Moon Dev
From Hundreds of Thousands Lost to a 24/7 AI Bot: My TCN Model for High Frequency Trading

most people think you need a basement full of liquid cooled servers and a phd from mit to run high frequency trading bots but i just proved that you can build a predatory hft system right from your kitchen table with nothing but an internet connection and some ai. there is a specific reason why 99 percent of manual traders end up as exit liquidity for the big banks and it has everything to do with the temporal convolutional network model i just finished cooking up

the secret sauce starts with a machine learning architecture that has a 73.3 percent area under the curve which basically means it has a massive statistical edge over the rest of the market. when you combine that with a 56 percent win rate you are no longer guessing which way the price will move because you are playing a game of pure probability

i believe that code is the great equalizer because i spent years losing money with liquidations and over trading before i realized that my human emotions were the only thing holding me back. in the past i spent hundreds of thousands of dollars on developers to build apps for me because i was terrified that i would never be able to code myself

it was only after i decided to learn live on youtube and iterate through the pain that i finally reached the point where fully automated systems are trading for me instead of me getting liquidated. you might think the hard part is coming up with the strategy but the real trap is actually in the technical execution of the bot itself

the engine of this hft bot is built on order flow imbalance data which we pull directly from the binance websocket to see exactly where the big orders are hitting. we are not just looking at price action but we are calculating things like ofi velocity and acceleration along with multi level weighted ofi using harmonic waiting

by looking at depth imbalance and volume spread we can predict where the market is going to move in the next few seconds with scary accuracy. this model is so much more powerful than traditional correlation based strategies because it actually understands the micro price structure of the order book

the implementation of these bots requires a strict entry and exit loop where we only use maker orders to avoid paying taker fees and losing our edge to the exchange. we make sure to always fill on the bids or the asks and cancel any orders that do not get filled immediately before putting in new ones

one of the biggest adjustments we made was increasing the max hold time to 300 seconds so the bot has enough room to let the trade play out without getting chopped up by noise. tracking stats across multiple sub accounts is essential because it allows us to incubate different versions of the strategy at the same time

you will run into bugs that seem impossible to fix like when your bot throws a signature error or fails because your anaconda environment is missing a specific package. i spent an hour chasing a ghost in the machine only to realize that the tensorflow environment needed a simple pip install for the extended exchange sdk

this is why most people quit because they expect the path to be easy when in reality you have to be willing to sit in the trenches and debug your code until it works perfectly. building is compounding and every time you solve a technical problem you are adding another layer of armor to your trading system

the rbi system which stands for research backtest and incubate is the only way to move from a theoretical idea to a production ready bot that actually prints. once the model shows a strong edge in backtesting we move it into the incubator phase where it trades small size in the live market to prove its worth

we have different bots running simultaneously where one might use a liquidation filter to avoid high volatility periods while the other trades through everything. it is a constant game of testing and optimizing because the [...]

market is always evolving and what worked yesterday might not work tomorrow

if you are still trading by hand you are basically bringing a knife to a gunfight where the guns are powered by ai and they never sleep or get tired. the beauty of learning to code is that you no longer have to chase the market because you have built a machine that waits for the perfect setup to appear

i am here live every single day because i want to show you that this level of automation is possible for anyone who is willing to put in the work. take the code and play with it yourself because the more you subtract the noise and focus on the logic the closer you get to true financial freedom
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