Moon Dev

I’m losing my mind there are just too many fake gurus these days

It’s not your fault if you’ve been a losing hand trader til this point

@dysm_thanidasi cooked, yes. that is what i said lmao

@MoonDevOnYT so I email you?

moneymakers vs excuse makers we all know people who are excuse makers they talk about the money they are going to make and then give an excuse why it never happened i do not think you are one of those people you found me because you wanted to get your trading bots live and that is exactly what i can help you do right now you get $300 off for st patricks day but it will not last long join here moondev.com/lucky moondev

@cryptoafterdark would you like a cookie for your ai slop commits?

@MoonDevOnYT really then show us the DD before the PnL. getting called out sucks hu? seriously, some of us maybe here to help, don't underestimate, go research real developers who habe 2k commits on git. ~225,000 LOC isnt a joke.

Soooo many fake gurus these days in the trading space. I’m tired of it.

@laranjo_pires interesting, how come?

@MoonDevOnYT that’s so misleading

As long as you have half a brain you can automate your trading

@dysm_thanidasi not important, you just said it was $5

@MoonDevOnYT please check dm, IMPORTANT*

Do you want to spend the rest of your life staring at charts?

@dysm_thanidasi moon@algotradecamp.com we can refund or give you a ticket for tomorrow, the material is the live zoom everything else is just a live bonus

@MoonDevOnYT MoonDev I filled out your $5 form and sent the payment, but afterwards I realized that the time you mentioned had already passed 6-8 hours ago in my country. I already made the payment, btw I don't need refund I need the learning material I have sent the transaction proof in DM.

TradingView vs. Python: The $100M Framework for Automating Superior Strategies most traders are out here essentially gambling with their life savings and they don't even realize it because they've never actually seen the data behind their ideas. they have a "feeling" about a certain crossover or a specific candle pattern but when the market gets volatile and the liquidations start hitting that feeling disappears real quick and is replaced by pure panic. i believe that code is the great equalizer because i've been on the other side of that screen losing money to liquidations and over trading until i finally realized that manual trading is a rigged game against human emotion. the only way out was to automate everything but for years i stayed stuck because i thought i wasn't a "coder" and i ended up spending hundreds of thousands of dollars on third party developers for apps and bots that never quite worked. the brutal truth is that most strategies people swear by don't actually have an edge and the only reason they think they do is because they've never stress tested them across multiple market cycles. they look at one chart on one time frame and see a few winning trades but they completely ignore the twenty times that same setup would have wiped out their account in a different environment. with bots you have to iterate to success which is why i decided to learn to code live on youtube for everyone to see because i wanted to prove that anyone can transition from being a victim of the markets to a builder of systems. now i have fully automated systems trading for me while i sleep instead of staring at charts and getting liquidated by some random wick in the middle of the night. there is a massive difference between seeing an indicator on tradingview and actually proving that it works in a backtest that isn't curve fitted to a single asset. most people just slap an indicator on a bitcoin chart and if it looks good for the last week they think they found the holy grail but that is exactly how you get humbled by the market the moment things change. real professional backtesting involves taking that logic and running it against twenty or more data sources including ethereum solana and even traditional stocks like nvidia or tesla to see if the edge is actually robust. if your strategy only works on one specific coin during one specific month then you don't have a strategy you just have a lucky coincidence that is eventually going to cost you everything. i used to think that coding was this impossible mountain to climb but once you start using tools like python and leveraging ai you realize that the logic is the most important part. you can literally go into the community indicators on tradingview and pull the source code for almost anything out there to see the math behind it which is like having a secret key to the entire industry. once you have that source code you can feed it into an ai to help you build out a comprehensive backtest that gives you the real statistics like the sharpe ratio the sortino ratio and the maximum drawdown. these numbers are the only thing that should give you the confidence to actually put money behind a system because without them you are just hoping for the best in a room full of sharks. the transition from manual trading to automated systems isn't just about the money it's about the freedom of not being tied to a desk and the peace of mind knowing that your emotions aren't the ones clicking the buy button. it took me losing a lot of money and wasting a lot of time on developers to realize that the power needs to be in my own hands and that is why i keep building and learning in public. every single bot is an iteration and most of them will fail during the testing phase but that is the whole point because it is much better to fail in a simulation than to fail with your actual bank account. once you find that system that holds up across different assets and time frames you finally have a real business instead of a hobby that just drains your wallet every time the market moves.

2026 hits different for traders

@hamptonism unless you are a degen then you should buy a house cash when you run up enough hit the save button and get back to gambling

No one under the age of 30 should ever consider buying a house. Incredibly irresponsible investment.

Most traders are just too scared to correct their trading

@FlokiBull_ bro pull the bots off i dont need you and your team to spam my dm offering me your crypto promo services i drop hot fire on the daily, dont need the shills

@MoonDevOnYT hey can I get a follow back? I have moon plan for your project 💹

your favorite influencer uses my videos for content 🤣

imagine you do this for 5 years every day, testing thousands of ideas i would hope you have more losers than winners otherwise you are the loser most things i build are garbage just like anything in life the more you shoot the more you score if you watch me and think 5 years of experiments and bots in production is worth it, join, knowing you have 90 days to check it out if its not, there is a 90 day money back guarantee and you can have your money back moondev.com/lucky $300 off for st paddys day by year 4-5 they will never catch up

if this guy really pulled $100 live trading btc markets on Polymarket, that’s cool especially since he’s pushing a paid trading product there was basically zero room for lose there

i cracked polymarket with claude code (opus 4.6 specifically)

Automated Alpha: How I Used Claude to Engineer a 24/7 Arbitrage Bot most people are paying for overpriced enterprise tools when a ten dollar monthly setup is currently outperforming six figure dev teams in the arbitrage markets. this specific configuration is running right now while you sleep and finding price discrepancies that the big institutions are too slow to catch. you are probably wondering how a simple terminal agent can outrun a high frequency trading desk but the answer lies in the way we structure the data flow between decentralized pools and major exchanges manual trading is a complete death trap for anyone trying to build real wealth because emotions and liquidations will eventually take everything you have. i know this because i spent hundreds of thousands of dollars hiring third party developers for apps i thought i could never build myself before realizing that code is actually the great equalizer. once you stop being exit liquidity for the whales you start to see the market as a series of math problems that can be solved with a few lines of python and a bit of persistence over the last twenty two hours we tracked a specific spread between kraken and the solana onchain markets that flagged two hundred and sixty six true arbitrage windows. that is roughly twelve opportunities every single hour where you could buy low in one place and sell high in another for an immediate profit. most traders would kill for those numbers but there is a hidden catch in the timing that would bankrupt a bot if it was not programmed to handle specific volatility clusters the data science report we generated showed that nearly ninety percent of those trades happened within a single sixty minute window rather than being spread out across the entire day. this means your system needs to be sitting there in a high state of readiness during specific periods of morning volatility instead of just burning api credits twenty four seven. by focusing the energy on these high probability clusters we managed to pull an average profit of three point six percent after all the fees were accounted for there was a specific moment during the monitoring where we saw over one hundred opportunities cluster into a twenty minute window of pure madness. if you are trying to do this by hand you will miss the entire window while you are busy typing in your two factor authentication code. the bot does not get tired or distracted by the news while it analyzes the liquidity reserves of every pump swap pool in real time the biggest struggle with these one way markets is not finding the trade but managing the inventory so you do not run out of capital on one side of the fence. since eighty percent of the moves were buying on the decentralized exchange and selling on kraken you eventually end up with a mountain of coins on the exchange and zero liquidity on the chain. there is a specific way to automate the rebalancing process without eating up all your profits in gas and transfer fees prefunding both sides with a modest amount of capital and setting a manual rebalance trigger after every twenty trades keeps the system lean and efficient. we found that maintaining about five hundred to a thousand dollars on each side allows for a smooth flow while the bot handles the heavy lifting of execution. this setup turns a complex financial maneuver into a simple game of keeping the scales balanced while the bot picks up the pennies on every swing some people worry about the bid ask spread being too wide on lower liquidity exchanges like kraken for certain tokens but that is where the real edge lives. we baked the spread cost directly into our calculations and found that the median profit stays around two point eight percent even after taking the taker fees. if the market was perfectly liquid the arbitrage would vanish in milliseconds so we actually want to find these slightly disconnected pools some people think you need to be a market maker to win in arbitrage but being a taker with high speed execution is actually where the hidden alpha resides. we analyzed the kraken bid and ask spread and realized that even after taking the taker fees there is still a massive buffer for profit. by selling directly into the bid we avoid the risk of our orders sitting unfilled while the market moves away from us the secret is looking for spreads that are wider than the combined fees of both the exchange and the onchain gas. on solana the fees are negligible but on kraken the one point four percent average spread could kill most strategies if you are not careful. because we are targeting inefficiencies in specific pools we can afford to pay the taker fee and still walk away with a consistent two to three percent gain per trade even with the perfect strategy you will still lose every single trade if your execution time is over five seconds because competing bots are always lurking in the shadows. many people think they need expensive rpc nodes or private server clusters to compete but the secret is in parallel processing the buy and sell orders. if you are waiting for the first leg of the trade to confirm before sending the second you are essentially inviting the market to move against you and wipe out your spread our system uses a specialized execution function that triggers the solana purchase and the kraken sell order almost simultaneously to lock in the price. the total time from detecting the spread to confirming both sides of the trade is now under three seconds which is fast enough to beat the majority of retail participants. this level of speed used to require a team of engineers but now it just takes a well structured script and a decent connection to the order books we are utilizing a system that looks at the order book depth to make sure we are not walking the book and destroying our own profit margins. it is one thing to see a price discrepancy on a chart but it is another thing entirely to know there is enough size at the bid to actually fill your order. by logging the kraken bid size every single second we can adjust our trade size to match the available liquidity and avoid slippage finding these edges is not about chasing the most popular tokens where the big money has already squeezed out every drop of profit. it is about looking into the low liquidity corners of the market where things get weird and the price correlation begins to break down. we are currently testing this on a very specific asset called housecoin because the thesis of one house equaling one coin is exactly the kind of asymmetric bet that makes trading fun i decided to give away twenty thousand of these coins to the community because i want people to see that automation is accessible to anyone with a laptop and some grit. when i was losing money to over trading i felt like the world was closing in on me but learning to code changed my entire perspective on finance. we are building an ai army to fight wall street and we are doing it live on youtube so everyone can see the wins and the losses in real time the code is the ultimate leverage because once you write a function to execute an arbitrage it works for you forever without needing a salary or a break. i used to spend hundreds of thousands on developers for apps that never even launched but now i can build a custom trading bot in a single afternoon with claude code. this shift in power is why i believe anyone who is willing to learn can escape the cycle of liquidations and start building real automated systems learning to code live has shown me that the only way to win is to iterate through the failures until you find a system that actually works. i used to be the guy getting liquidated and over trading until i decided to automate my entire existence and let the bots do the emotional work for me. if you are still clicking buttons manually you are playing a game that is rigged against you while those of us with the scripts are busy building the future one trade at a time