Alchemist 🧪

₿ullish on Freedom ⛓
#AI #Blockchain

[Alchemist 🧪 @0xAIntel]

@daedalium Excellent ! À la fois l'outil et la vidéo de présentation 👌

[Alchemist 🧪 @0xAIntel]

@edwyplenel @Mediapart "Par ses égarements antisémites et complotistes"

[Alchemist 🧪 @0xAIntel]

@OfficialLoganK @NanoBanana Why are you not adressing existing critical issues ? Everyone is complaining, but you don't seem to consider existing users. What a shame !

[Alchemist 🧪 @0xAIntel]

@OfficialLoganK @NanoBanana Ai studio being down or unreliable since last week !! What a joke

[Alchemist 🧪 @0xAIntel]

@OfficialLoganK @NanoBanana @GoogleAIStudio @OfficialLoganK

[Moon Dev @MoonDevOnYT]

The 118,000% Alpha: Building a High-Frequency AI Trading Floor with Claude Code

if you think claude code is just for writing simple scripts then you are already losing to the bots that are hunting your liquidity right now. most traders are still clicking buttons while i have an ai employee running backtests on twenty eight different data sources simultaneously. i am going to show you how a strategy that returned over four hundred thousand percent was built in minutes using a secret sub agent workflow

most people treat ai like a chatbot but i treat it like a quant architect that builds systems better than the devs i used to pay hundreds of thousands of dollars. there is one specific indicator combo that actually survived a stress test across tesla and bitcoin at the same time and i will reveal that logic further down. we have to talk about why your current backtests are probably lying to you before we get into the code

my name is moon dev and i truly believe that code is the great equalizer in this world. for years i was the guy getting liquidated and overtrading because i was letting my emotions drive the wheel. i spent an insane amount of money hiring developers to build apps for me because i thought i was not smart enough to code myself. through that pain i realized that if i wanted to win i had to automate everything and learn to do it live on youtube for the world to see

the secret to trading with claude code is not asking it for a strategy but using it to build a backtest architect. this sub agent acts as a consistent employee that understands how to test against massive datasets without getting tired. it allows me to iterate through hundreds of ideas in the time it used to take me to write one single line of python. this is how i found the strategy that hit a one hundred and eighteen thousand percent return on a single run

there is a massive trap that almost every beginner falls into when they start using ai for trading. they find a strategy that looks amazing on one chart and they think they found the holy grail of wealth. that is usually just a lucky fluke or a curve fit mess that will blow up your account next week. the real secret to staying alive is the multi data testing system that claude built for me today

we test every single idea against bitcoin and ethereum and solana but we also throw in apple and tesla and nvidia. if a strategy only works on crypto it is probably just riding a trend that is already over. i want to find the logic that is robust enough to handle the volatility of a meme coin and the steady grind of a blue chip stock. this is the only way to prove that the code actually has an edge in the market

before we dive into the kalman filter logic i have to tell you about the dca bot i have running on solana right now. it is called housecoin and the thesis behind it is either going to make me a genius or leave me with nothing. it is buying every time we are under the five minute sma and i have been checking the transactions live. i will explain the risk management behind this "all or nothing" play shortly but first we need to look at the winners

the winner of today was the acceleration bands combined with a kalman filter. the kalman filter is incredible because it helps remove the noise and lag that you get with standard moving averages. most indicators repaint which means they change their past values to look better after the price has already moved. the way i have implemented this filter prevents that trap so the results you see in the backtest are actually tradable

when we ran the acceleration bands across the hourly nvidia chart it returned over two hundred percent while the underlying asset was down forty percent. that is a massive alpha gap that most people will never see because they are stuck using standard rsi settings. i have found that adding a volatility breakout with atr to this setup helps catch the moves that the banks are trying to hide. the math behind the atr breakout is what kept me from getting chopped up in the sideway ranges

you might be wondering why i am giving all this code away for free on github instead of keeping it in a vault. it is because i remember what it felt like to be on the other side of the trade losing money every single day. i want to build a community of quads that are all researching and backtesting together. the goal is to chase the legacy of jim simons who proved that math and code are the only things that matter in the long run

the rbi system is the framework that i follow every single day without exception. it stands for research and backtest and implement. most traders skip the middle step because they are too impatient to see the results. they hear a rumor on twitter and they buy the top only to get liquidated when the whales decide to take profits. if you do not backtest your ideas then you are just gambling with your life savings

i am spending around forty to one hundred dollars a day on claude opus tokens because it is a drop in the bucket compared to what a developer would charge. this ai does not need a lunch break and it does not get bored when i ask it to create sixty different variations of a strategy. we just created five different parabolic sar versions today and found that the long only setup was the only one worth keeping. it returned sixteen thousand percent on the soul data set because it stayed out of the short side traps

shorting crypto is extremely dangerous and usually not worth the stress for most people. i have found that focusing on long only strategies with a tight trail stop is the most consistent way to grow an account. the sub agent architect allowed me to verify this across twenty five data sources in less than ten minutes. this speed of iteration is the only way to stay ahead of the curve in an industry that changes every few seconds

the dca bot i mentioned earlier is still grinding away and buying the dips as we speak. i have built it to be a long term play where i am slowly accumulating a position in housecoin based on smas. if the price stays under the moving average the bot keeps buying and if it goes above then it sits on its hands. it is a simple logic but it removes the human desire to "buy the moon" when the price is already overextended

i found that the camarilla pivot indicator was mostly trash today when we ran the numbers. even though it looks fancy on a chart the backtest showed negative expectancy across almost every asset we tried. this is why backtesting is so important because it kills the "indicator porn" that influencers use to sell you courses. i would much rather know that a strategy is a loser now than find out after i put real money on the line

the true secret to using claude code is to treat it like a partner and not just a tool. i ask it to find anomalies and then i ask it to prove me wrong by testing it against the worst market conditions in history. if a strategy can survive the 2022 crypto crash and the 2020 stock market dip then i might consider it for a live run. we are stepping on the gas every single day because there are always new anomalies popping up if you are fast enough to find them

i have uploaded over twenty five new backtests to the github today for everyone to use. code is the equalizer because it does not care about your background or how much money you started with. if you can write the logic and prove the edge then the market has to pay you. i am going to keep building in public and showing the wins and the losses because that is the only way to stay real in this space

the final piece of the puzzle is the mindset of iteration over perfection. i would rather run a hundred messy backtests today than spend a month trying to write one perfect script. the ai allows me to fail fast so that i can find the winners that actually move the needle. my housecoin dca bot is a testament to that philosophy of just building and letting the systems do the heavy lifting for me

if you are still trading by hand you are playing a game that is rigged against you by the biggest firms in the world. they have the best servers and the best data and the best phds but they do not have your specific creativity. when you combine your ideas with the power of claude code you are creating a custom weapon that they have never seen before. i will see you in the code and we will keep chasing the goat until we find that ultimate edge

[Alchemist 🧪 @0xAIntel]

@MoonDevOnYT Legend 🫡

[Alchemist 🧪 @0xAIntel]

@Ledger_Support You should definitely do something about this VERIFIED fake account.
He's impersonating your co-founder and has a blue badge... which is misleading af!
Thank you for the support

[Alchemist 🧪 @0xAIntel]

@AgoraPolls @mahmoudfoqha9 @ElonMuskAOC @elonmusk @fentasyl

[Mehdi (e/λ) @BetterCallMedhi]

Je reviens juste pour vous présenter le dernier ordinateur quantique de Google doté d’un processeur Sycamore 70 qubits et qui a réalisé en 6 secondes une tâche de randomisation qui aurait pris 47 ans à l'un des superordinateurs classiques les plus rapides au monde.

Je repars 🫡

[Kim Dotcom @KimDotcom]

How to put 666 ‘the number of the beast’ into a logo.

[Alchemist 🧪 @0xAIntel]

@AgoraPolls @cz_binance Probably loaded some crypto bags before making that announcement 👀

[Smoke-away @SmokeAwayyy]

An unaligned version of GPT-5 will be available to a select number of humans for 6+ months before the general public knows about it.

Let that sink in.

[Michel Levy Provençal @mikiane]

HELP ! Quelque chose ne va pas avec la façon dont les intelligences artificielles génératives évoluent.

Cela fait maintenant un an que je suis de très près les développements sur plusieurs fronts, principalement OpenAI, HuggingFace, Midjourney et Stable Diffusion. Bientôt, il faudra ajouter Google à la liste.

Plus je progresse et plus les applications développées sont complexes, plus les modèles de langage naturel deviennent performants et rendent obsolètes les petites avancées acquises de longue haleine. À tel point que, littéralement, plus j'avance, plus je recule. Plus sérieusement, je commence à me demander si la meilleure stratégie ne serait pas, tout simplement, d'attendre !

En ce moment, je travaille sur une demi-douzaine d'applications pour générer des résumés de livres, produire des podcasts automatiques, fabriquer des quiz, construire des critiques de livres, adapter des textes dans un ton différent, etc. Par exemple, l'application de résumé prend n'importe quel livre et le synthétise en 3 pages. Si on le souhaite, elle peut ensuite le transformer en podcast audio. Ça marche plutôt bien. L'application prend plus de trois heures pour découper un document de 300 pages, extraire les points clés récursivement en 3 ou 4 fois, rédiger un texte à partir des points clés et passer le tout à un text-to-speech.

Aujourd'hui, j'utilise la version 3.5 de GPT, mais dans deux semaines, je sais que l'API GPT4 me permettra de faire cela en 3 ou 4 passes tout au plus. Ça prendra quelques minutes maximum. Dans 6 mois, probablement, le délai passera à quelques secondes... Mais surtout, cette fonction sera accessible directement dans l'interface de ChatGPT ou celle de Google Workspace.

D'où ma question : si la bataille des modèles de langage naturel est perdue et que celle des applications qui en découlent l'est aussi, que nous reste-t-il ?

#GPT

[Smoke-away @SmokeAwayyy]

60 days now since ChatGPT was released and it's still growing regardless of what critics, naysayers, and policy makers say.
Baidu is releasing a competitor in March.
Google is still Code Red.
The playing field has shifted.
Power structures are changing.
A new world is coming.

[Kevin Schawinski @kevinschawinski]

First #ChatGPT answer which made me pause.

[Santiago @svpino]

AI will not replace you. A person using AI will.

[Paul Graham @paulg]

What do 36 million people use now that eventually 5 billion will?

[Sam Altman @sama]

the first day of openai, seven years ago today