Vito

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Vito

Vito

@tradervito

Ever-(L)earning Trader & Father of 2 | $1.5M+ AUM and Outperforming the S&P 500 w/ Darwinex Indices 🟢 FUFY and 🟡 DUAD

🇨🇿 Katılım Haziran 2016
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Vito
Vito@tradervito·
📊 February (and late January) brought elevated volatility and challenging trading conditions. Despite that environment, both of my DARWINs remained profitable while many strategies across the @DarwinexZero ecosystem finished the period negative. Performance - DUAD: +1.23% (Total: +24.06%) - FUFY: +1.60% (Total: +33.00%) 📈 As public availability approaches, my focus is not only on returns, but also on scalability - ensuring both strategies can absorb investor capital without degrading execution or performance. Available capacity - DUAD: $525M - FUFY: $350M 🗓️ Both DARWINs currently meet the criteria for DarwinIA GOLD and are expected to become available to public investors in April and May (respectively). I’ll share further updates as we get closer.
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Vito
Vito@tradervito·
@kieran__duff @ZenomTrader That sounds like a very good way to use SQX’s capabilities. When you find a promising idea, do you then build it manually in another tool like fxDreema, or directly in SQX eg. via AlgoWizard?
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Kieran Duff
Kieran Duff@kieran__duff·
Appreciate the mention gents, but let me just add only 2 of my 30+ strategies in my portfolio were generated by StrategyQuant, all of the others were built upon an idea/statistical edge. I think SQX is great for idea generation, but what I've been testing more recently is using SQX to data mine an "idea", learn about the intricacies of that idea and then building it manually!
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ZenomTrader
ZenomTrader@ZenomTrader·
Jim Simons’ fund was trading tens of thousands of strategies. I realized I’d been thinking about this the wrong way the whole time. I was focusing too much on individual strategies instead of on how fast I could test and discard them. I asked Claude Code to autonomously code strategies for me from scratch. It compiled them, debugged them on its own, ran the backtests, and came back with results. I did that over 500 times in 2 months. Most were garbage. Twelve survived. A full hedge fund in a single file. A normal trader tests maybe one idea per week, 50 per year if they’re serious. I do 50 in a day. Jim Simons didn’t win by having the best single strategy. He won because his team could test and discard faster than anyone else. As he put it: “If everyone is trying to solve the same problem, don’t do that.” I don’t need a team of PhDs. Just Claude Code on a laptop. The rest are still watching courses from scam gurus with no verified track record. Probably only 0.1% of the industry is doing this.
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Michael A. Arouet
Michael A. Arouet@MichaelAArouet·
Never deleting this app
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Vito
Vito@tradervito·
@tkapler Ten proces je skvely pro majitele, aby co nejvic vydelal. Dost dobre taky vysvetluje proc Elon slibuje uz 10 let plnou autonomii a stale mu nefunguje. A taky, ze do toho kramu s FSD nemam rozhodne nikdy sedat, protoze s temito prioritami to nikdy nebude bezpecne.
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Tomas Kapler #AI 🤖✨
Muzeme si o Elonovi myslet co chceme, ale tohle je neco, co by se melo dit v kazde firme či úřadu,na kazde urovni a učit v kazde škole. A udělat si třeba i AI asistenta, který každou část každého procesu zvaliduje těmito 5 kroky.
Founder Mode@Founder_Mode_

Elon Musk explains his 5-step process for running companies: "First, make your requirements less dumb. Your requirements are definitely dumb. It does not matter who gave them to you. It's particularly dangerous if a smart person gave you the requirements because you might not question them enough. Everyone's wrong no matter who you are. Everyone's wrong some of the time. So make your requirements less dumb. Then try very hard to delete the part or process. This is actually very important. If you're not occasionally adding things back in, you are not deleting enough. The bias tends to be very strongly towards let's add this part or process step in case we need it. But you can basically make in-case arguments for so many things and for a rocket that is trying to be the first fully reusable rocket. There's never been a fully reusable rocket. People don't understand. This is like the holy grail of rocketry. So you've got to delete the part or process step. Super important. You can't hedge your bets. That's why the grid funds, for example, do not fall down because that's a whole extra mechanism that we don't need. Also, whatever requirement or constraint you have, it must come with a name, not a department. Because you can't ask the department. You have to ask a person. That person who's putting forward their requirement or constraint must agree that they must take responsibility for that requirement. Otherwise, you can have a requirement that basically an intern two years ago randomly came up with off the cuff and they're not even at the company anymore. These things are often just way more silly than you think. So step one, make your requirements less dumb. Step two, delete the part or process step. If you're not adding things back in 10% of the time, you're clearly not deleting enough. And then only the third step is simplify or optimize. The third step, not the first step. The reason it's the third step is because possibly the most common error of a smart engineer is to optimize a thing that should not exist. Everyone's been trained in high school and college that you've got to answer the question. Convergent logic. So you can't tell the professor your question is dumb. You'll get a bad grade. You have to answer the question. So everyone's basically, without knowing it, they've got a mental straitjacket on. They'll work on optimizing the thing that should simply not exist. And then finally, you get to step four, which is accelerate cycle time. You're moving too slowly, go faster. But don't go faster until you have worked on the other three things first. You can always make things go faster. And then the final step is automate. Now, I've personally made the mistake of going backwards on all five steps multiple times. Literally, I automated, accelerated, simplified, and then deleted. One example I've talked about before is there were these fiberglass mats on top of the Model 3 battery pack that were in between the floor pan and the battery. And it was at one point choking the battery pack production line. And I was basically living on the battery pack production line trying to fix the line. It was choking the entire Model 3 production program. So the first mistake was I tried to fix the automation, like make the robot better. So automating was a mistake. Then accelerating was a mistake. Then optimizing was a mistake. And finally, I said, what the hell are these mats for? And I asked the battery safety team, what are these mats for? Are they for fire protection or something? They said, no, they're for noise and vibration. Then I asked an NVH, a noise, vibration, harshness team, what's it for? They said fire safety. So literally, it was like being in a Dilbert cartoon. Actually, I feel like I'm in a Dilbert cartoon quite frequently. So then finally, OK, great, let's try a car with the fiberglass mats and without. And they put a microphone to both and see if you can tell the difference. In fact, I was like, which one is which? So we just deleted them and just bypassed this $2 million robot cell. It was just a complete pile of nonsense."

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Brian Allen
Brian Allen@allenanalysis·
Trump at a press conference today: “I’m going to take a few questions. You can ask me anything you want. You can talk sex.” Day 27 of the Iran war. Israel just struck Iranian nuclear facilities. Iran is demanding sovereignty over the Strait as a peace condition. The Philippines has 40 days of oil left. April 6th power plant strike deadline approaching. Thousands dead across the region. “You can talk sex.” This is the President of the United States.
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Hoodlum 🇺🇸
Hoodlum 🇺🇸@NotHoodlum·
A brutal community note. 👇
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Massimo
Massimo@Rainmaker1973·
Prague Astronomical Clock. It measures Babylonian and Old Bohemian time, shows the movements of celestial bodies. It was first installed in 1410, making it the third-oldest astronomical clock in the world and the oldest clock still in operation.
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💕 Brittany Belle 💕
💕 Brittany Belle 💕@BrittanyinTexas·
And just like that, it’s completely VANISHED from the media. A sitting congressman, Ted Lieu, said on the record the Epstein files are being blocked because they show Trump raped and threatened to kill children. Let’s keep this in the spotlight every day.
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Furkan Gözükara
Furkan Gözükara@FurkanGozukara·
Absolute panic in Washington. Marco Rubio whines that Iran is planning to permanently control the Strait of Hormuz and charge a toll. He admits the US is powerless to stop it alone and begs the rest of the world to step in. Iran has completely outsmarted the American empire.
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Meidas_Charise Lee
Meidas_Charise Lee@charise_lee·
🚨OMG &THIS GUY HAS THE NUKE CODES‼️
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guyfelicella🇨🇦🍁
guyfelicella🇨🇦🍁@guyfelicella·
Watch the top of the screen when the news team appears and look at their facial expressions. OMG embarrassing listening to this guy talk about a damn pen.
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Vito
Vito@tradervito·
It all comes down to how the tools are used. Kieran’s portfolio performs very well. As far as I can tell, most of his strategies were generated in StrategyQuant, then not only forward-tested OOS but also live traded on his alternative DARWIN before being deployed. I don’t know exactly how he generates them, whether through random brute force or a more idea-driven process. I’m not saying automated strategy generation is wrong in itself. I was reacting specifically to the shift in your thinking - from focusing on the strategy idea (qualitative) to focusing on brute-force generation (quantitative). My point was that many traders, myself included, who experimented with brute-force strategy generation eventually found that the random process only rarely produces something truly robust and sustainable. In many cases, it leads people in the opposite direction - from a purely quantitative approach back toward a more qualitative one. That was my point.
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ZenomTrader
ZenomTrader@ZenomTrader·
I’m not saying I’m reinventing the wheel. I’ve heard some good things about it Kieran’s track record is pretty good. It’s not really my style though, it feels too data mined. But I could start a data mining experiment to compare it with my current results and strategies over a six month period on some funded accounts.
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Vito
Vito@tradervito·
@sarcastic_hedgi @hackertrader That's true. But that would be a different topic. StrategyQuant can help in this scenario (using embedded custom-trained model as part of the tool to further ease up the process)
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Sarcastic Hedgie
Sarcastic Hedgie@sarcastic_hedgi·
@tradervito @hackertrader backtesting isn't the hard part... it's figuring out which 10k things are even worth backtesting in the first place most strategies that look obvious in hindsight never would've made your shortlist without some way to filter the noise first
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Niv Goren
Niv Goren@hackertrader·
I keep seeing people backtest with Claude/ChatGPT and it's painful to watch. LLMs will: → Invent price data to satisfy your prompt → Look into the future → Ignore survivorship bias → Make wrong assumptions about splits & adjustments They will make your backtest looks great but pnl will probably not follow. I built Kwants to fix this. It gives your LLM a real backtesting engine: • Downloads & cleans your Polygon data automatically • Enforces strict point-in-time data access • Ignores late prints • Runs fast with vectorization + caching • No hallucinations allowed at the infrastructure level No code required. Works with any LLM. Try it now: kwants.dev
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Vito
Vito@tradervito·
@Market_Emotions That's a very valuable data! Thanks for sharing the comparison! I noticed FunderPro’s payout times range from under 5 hours to more than 80 hours. Is their service getting worse (or better), or are payout times just randomly varying over time?
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MarketEmotionsFX 📉
MarketEmotionsFX 📉@Market_Emotions·
Payout times matter. The quicker you receive your payout, the quicker you can put it to use and snowball it to build your empire. And the less anxiety you will be in. No one likes waiting weeks for a payout. This is why I have quietly tracked exactly how long each Prop Firm has taken to pay me. I used to think larger payouts would take longer to process and to be paid out. But I am not seeing this relationship. Perhaps my payouts aren't big enough 🤷‍♂️ What I can see though is that there are definite firm differences in payout times. @ATFunded, @E8Markets, @TheTradingPit_ and @FundedNext takes the cake in payout speed ⚡️ Remember, this is just my own personal payout data only. Although it consists of 70 payouts across 13 firms, some firms were low in sample size. That being said, each and every payout is important and should be treated with respect. As such, even a low sample size should reflect on the processing cadence of the firm and nothing speaks louder than real data. I'm here to guide you on making evidence-based decisions to approach Prop Firm trading. I do this by democratising my own data at every step of the way for you. I do this for absolutely free because I want you to win. And whilst I won't tell you what to do, I hope my transparency can help you understand the Prop Firm space better and make data-driven decisions - including which Prop Firm you decide to trade with 🔥
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Jesus Chrysler
Jesus Chrysler@JesusChryslerII·
😂😂
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Vito@tradervito·
Almost any trading platform allows you to code the strategy and bactkest it. Right on the target broker price feed. To the tick. Whichever you decide to use. Ninja, MT, TV, cTrader you name it. I'm surprised you have to ask. If you need to go higher level, use eg. StrategyQuant (or similar tool) for the full workflow. AI is useful only for people who have no idea about trading or developing a strategy.
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Darwinex Zero
Darwinex Zero@DarwinexZero·
Most of the trading industry is built on a conflict of interest: your long-term success hurts their profit margins. That is why they sell you the illusion of a quick payout rather than the reality of an investable track record. They want you to churn; we want you to scale. This month, 21 DARWINs officially crossed the $2,000,000 mark in active investor capital. Building an investable asset is not quick, and it is never easy. But it is the only path where your platform's incentives are perfectly aligned with your own. Stop playing a rigged game. Start building an asset.
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Vito
Vito@tradervito·
Tohle jsem si myslel na zacatku. Ale pokud teda nechceme prijmout premisi, ze vsichni jeho volici jsou bezmezne tupi idioti (i kdyz spousta z nich asi bude) tak to, co predvadi, uz nemuze byt planovana saskarna pro volice. Tohle mu totiz nezerou uz ani skalni MAGA. On je realne senilni, naprosto odtrzeny od reality, uz nedovede ani lhat verohodne, kognitivne v mnohem horsi kondici nez byl Sleepy Joe kdyz na nej byl poradany ten nejvetsi medialni hon. Tohle uz neni hra podle MAGA scenare, to je naprosto zoufala improvizace zcela neschopneho ego maniaka, ktery uz se soustredi hlavne na to, aby mel podpis na bankovkach a vydelal co nejvic na isider tradingu.
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NIC NEVIM
NIC NEVIM@Nicnevim11·
@romanmnet On je opravdu v těžké situaci a nemá snadnou cestu ven. To co říká veřejně je jenom šaškárna pro voliče, touto optikou je potřeba se dívat na jeho prohlášení. Většinu z toho nejspíš nemyslí vážně. Jako ostatně každý politik
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NIC NEVIM
NIC NEVIM@Nicnevim11·
Trumpova popularita rychle klesá. Většina američanů nesouhlasí s válkou, mají obavy z dopadu na ekonomiku a taky jim zdražuje benzín (na to jsou citliví). Volby do kongresu se blíží. Trump je pod velkým tlakem uzavřít dohodu i za cenu toho, že bude reálně výhodná pro Írán.
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