RaySonic 🔮

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RaySonic 🔮

RaySonic 🔮

@RaysonWC

Just doing my thing...

Australia Beigetreten Eylül 2011
2.3K Folgt764 Follower
Senator Mark Kelly
Senator Mark Kelly@SenMarkKelly·
If you’re writing the laws, you shouldn’t be playing the market. This is basic stuff. I have a bill that finally bans members of Congress from trading stocks. No loopholes. No exceptions.
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rwlk
rwlk@sherlock_hodles·
this clip lives rent free in my head
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@axios Imagine a way of tracking all trades above a set limit... An open auditable trustless system of blocks of trades... With full tracking in real time. Linked to a person or company with listed traceable accountability. What a world that would be
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Axios
Axios@axios·
Exclusive: Kalshi to block athletes and politicians from trading on their markets trib.al/2S37NdZ
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@DCinvestor The team got away with the Epstein thing now they think they are invincible...
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DCinvestor
DCinvestor@DCinvestor·
imagine how casually Lutnick and Trump probably must be, speaking in the Oval about manipulating geopolitical decisions and events, resulting in the actual deaths of people in order to make a quick buck trading with impunity against the trillions in market volatility which they intentionally create this didn’t happen to this degree under any other president, and doesn’t even get investigated, so why this one? i would be pissed if i were @elonmusk…he got much worse for simply saying “funding secured”
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unusual_whales@unusual_whales

BREAKING: Just five minutes before Trump's announcement to halt the attacks on Iran, massive trades reportedly hit the market. In one move, $1.5 billion in S&P 500 (ES) futures was bought while $192 million in oil (CL) futures was sold. These orders were 4–6x larger than anything else at the time. The trader seemingly made huge gains. Unusual.

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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@realstewpeters When you need to get more boots filled to put on the ground... Who you gonna call... Poor people
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Stew Peters
Stew Peters@realstewpeters·
TRUMP: “You gotta lighten up on this, they might have come into our country illegally but they're good people and they’re cheap workers. They’re working now on farms, in luncheonettes and hotels. We’re just focused on getting the murderers out.” So much for mass deportations.
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@nlw Mongo is the best murder chicken
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Nathaniel Whittemore
It’s pretty wild that the single best entertainment you can consume right now is an audiobook about a dude without pants surviving on a post apocalyptic alien reality tv show with his talking cat who shoots lasers out of her eyes and has a pet dinosaur, but… it is.
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@venturetwins Also half if not more of those followers are also bots... Bots following bots following bots. It's bots all the way down now.
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Justine Moore
Justine Moore@venturetwins·
It takes a lot to shock me online. But I’m genuinely floored by how many dudes are following influencers that are clearly AI.
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Moon Dev
Moon Dev@MoonDevOnYT·
The AI Alpha Machine: Using Claude Code to Turn 10 Years of Data Into Winning Strategies if you are still staring at charts and wondering where the next move is going you are essentially bringing a knife to a gunfight in a world where ai just turned the holy grail into a copy paste operation. most traders think they are one indicator away from wealth but they are actually just one workflow away from sanity. i spent years losing money to liquidations and overtrading before i realized that the only way out was to automate everything through code the title of this story is not some clickbait promise because finding winning strategies finally became easy once i stopped trying to be right and started trying to be fast. i used to spend hundreds of thousands on developers for apps because i thought i would never be able to code myself. now i believe code is the great equalizer because it allows a single person to iterate to success without getting liquidated by emotions most people spend weeks coding a single bot only to realize it fails on every timeframe except the one they cherry picked for their test. i decided to open a loop and figure out if an ai could build a universal runner that tests every strategy on every dataset i own at once. this is the secret to finding strategies that actually have an edge instead of just finding random noise in the market the process of automating your trading always starts with my rbi system which stands for research backtest and implement. you have to research the strategies in books or through alpha generation techniques before you even touch a line of code. if you just sit there and guess you will eventually get caught up by the market and lose everything you have worked for on a recent saturday morning i sat down with claude code to build something that i think is the most revolutionary thing i have ever created. i needed a way to test a single idea across thirty different markets and timeframes in less than four seconds. up until this point i was manually swapping out data files which was a massive waste of energy and time we created a comprehensive multi data backtest template system that can test any strategy on ten plus data sources automatically. currently it is configured with twenty eight different datasets including bitcoin ethereum solana and traditional stocks like nvidia. this allows me to see the truth of a strategy across one minute five minute and daily timeframes all in one go one of the strategies we put through this machine is called consecutive down which is a long only model based on mean reversion. the logic is simple because it looks for four consecutive bars moving downward and then enters a trade to catch the bounce. i wanted to see if adding indicators like adx or the kaufman filter would actually help the performance we built five different versions of this strategy including ones that use mfi and vwap to see which one holds up across the board. it is one thing to see a strategy work on a one hour chart but it is another thing to see it perform across ten years of daily data. by the end of this session we closed the loop on the universal runner and created a system that outputs eighteen different metrics per dataset if you want to be a data dog you have to realize that most traders are just gamblers wearing a suit. a real data dog does not care about being right about the next move because they only care about the expectancy of their system. we are looking for an expectancy of over zero point nine two and sharp ratios that indicate we are not taking insane risks the multi data tester is slick because it handles all the different headers from coinbase and yahoo finance automatically. i used to struggle with formatting data for hours but now the ai just builds a universal loader that cleans everything up. this means i can focus on the actual logic of the strategy instead of fighting with csv files all day long i am going to open another loop here and talk about why most people fail even when they have good code. they fail because they do not have a way to compare their strategies against each other in a meaningful way. i built a combiner tool that looks for all the results in a folder and puts them into one master csv file this master file allows me to sort by the best return or the best sortino ratio to see what is actually worth my capital. i saw one strategy outputting a four hundred thirty nine percent annual return with a two point five sharp ratio. when you see data like that line up across multiple markets you know you have found something special the goal is to move as fast as possible so you can find the strategies that work and discard the ones that do not. i am planning to do a jargonless tradebot challenge soon to reexplain everything from a new point of view for beginners. i want to remove the jargon and make it simple because the simpler the system the more likely it is to work in live markets we added even more data to the pot including soul one minute data for eighty weeks and btc one minute data. the more data you have the harder it is for a bad strategy to hide behind a lucky run of trades. by testing on twenty eight different sources we are effectively stress testing our ideas to the point of failure i love how simple the final output is because it just gives me a clean grid of everything i need to see. expectancy return buy and hold percentage and max drawdown are all sitting there in the results folder. it makes it so i do not have to flip in and out of different files to see if i am actually making progress one of the biggest jumps we made was building the full featured combiner that reveals the ten best risk adjusted strategies. this tool closes the loop on the entire research and backtesting phase of the rbi system. now instead of guessing which version of consecutive down is the best i can just look at the master sheet and see the winner the jump we made in a single morning is insane because this would have taken a team of developers months to build in the past. this is why i tell everyone that code is the great equalizer for the individual trader. you do not need a massive office or a huge budget if you have a workflow that iterates faster than everyone else if you are still trading manually you are essentially fighting a losing battle against machines that never sleep. i spent so much time losing money before i realized that the computer is much better at following a system than i am. now i just let the automated systems trade for me while i focus on building the next big thing finding the holy grail of trading is not about finding a magic indicator but about finding a magic workflow. once you have the multi data tester and the results combiner you are essentially playing the game on easy mode. it is time to stop being a gambler and start being a data dog who trusts the math above everything else this session was a huge win and we are just getting started with what we can build using these tools. make sure you are researching and backtesting every single idea before you even think about going live. i am grateful for where we are now and the fact that fully automated systems are trading for me instead of me getting liquidated
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Colin Robertson
Colin Robertson@mortgagetruth·
@jack @blocks Doesn't this eventually come full circle? If we are building systems to replace humans, there will be fewer customers for your business as well. So strong growth today, sure, but what will fuel strong growth tomorrow if more people are unemployed?
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jack
jack@jack·
we're making @blocks smaller today. here's my note to the company. #### today we're making one of the hardest decisions in the history of our company: we're reducing our organization by nearly half, from over 10,000 people to just under 6,000. that means over 4,000 of you are being asked to leave or entering into consultation. i'll be straight about what's happening, why, and what it means for everyone. first off, if you're one of the people affected, you'll receive your salary for 20 weeks + 1 week per year of tenure, equity vested through the end of may, 6 months of health care, your corporate devices, and $5,000 to put toward whatever you need to help you in this transition (if you’re outside the U.S. you’ll receive similar support but exact details are going to vary based on local requirements). i want you to know that before anything else. everyone will be notified today, whether you're being asked to leave, entering consultation, or asked to stay. we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly. i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead. i'd rather take a hard, clear action now and build from a position we believe in than manage a slow reduction of people toward the same outcome. a smaller company also gives us the space to grow our business the right way, on our own terms, instead of constantly reacting to market pressures. a decision at this scale carries risk. but so does standing still. we've done a full review to determine the roles and people we require to reliably grow the business from here, and we've pressure-tested those decisions from multiple angles. i accept that we may have gotten some of them wrong, and we've built in flexibility to account for that, and do the right thing for our customers. we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold. to those of you leaving…i’m grateful for you, and i’m sorry to put you through this. you built what this company is today. that's a fact that i'll honor forever. this decision is not a reflection of what you contributed. you will be a great contributor to any organization going forward. to those staying…i made this decision, and i'll own it. what i'm asking of you is to build with me. we're going to build this company with intelligence at the core of everything we do. how we work, how we create, how we serve our customers. our customers will feel this shift too, and we're going to help them navigate it: towards a future where they can build their own features directly, composed of our capabilities and served through our interfaces. that's what i'm focused on now. expect a note from me tomorrow. jack
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@toly Sure but their one year olds trading account is a savant trader
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vitalik.eth
vitalik.eth@VitalikButerin·
Privacy for the weak, transparency for the powerful Privacy for individuals, transparency for organizations Transparency of the wires and the gates, privacy of what goes on the wires All slogans with ~67% overlap in terms of what they imply, but where the ~33% difference is also so important.
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vitalik.eth
vitalik.eth@VitalikButerin·
This is a good post on the impact of surveillance in Iran: myprivacy.blog/the-digital-ir… It's worth reading. IMO one mistake that freedom advocates often make is that we talk about privacy violation and surveillance as "dystopian", using the word as a semantic stop sign: we know it means "bad", we nod along, and don't really go further to clarify why it's bad. I worry that this approach is long-run unhealthy: when we criticize various companies and countries for being "dystopian" and stop there, then to someone who's not already in the same memeplex, it sounds like we're basically criticizing companies and countries for not complying with our culture's aesthetic preferences. Which is ... duh, companies and countries are *supposed* to not comply with each other's aesthetic preferences, that's the whole point of the "pluralism" thing. What the above article makes clear so well is that "dystopian" surveillance is not bad because it's "dystopian", it's bad because it makes a concrete property of the world worse: the power balance between individual and state. Surveillance enables an outcome where basically everyone other than police and security forces has no opportunity whatsoever to challenge the political status quo without being punished. This means an outcome where a political regime can remain in power forever, without satisfying more than a very small coalition of people who have the eyes and the guns (now drones). The Dictator's Handbook talks about "large coalition" and "small coalition" governments; large coalition governments are the ones that are more pro-human, because they, well, have to keep a large coalition happy. Small coalition ones are the really nasty ones. Here is the near-term dark outcome of dictatorship + automated warfare + surveillance: a regime can literally survive with a coalition of size 1, because an army of all-seeing eyes and robots can defeat the entire populace in battle if needed. In Iran, we see what *just* dictatorship with surveillance can do, once you add automated police, you get to the unholy trifecta. I don't know of a good solution to this. Privacy technology, as well as more work on censorship-resistant internet (I think we should strive for at least basic-quality internet, eg. 1 Mbps, being a global human right outside the domain of nation-state sovereignty), can help somewhat to reduce the possibility of total government control. But what else? --- BTW one implicit frame in the article I take some issue with is framing Iran + Russia + China as the unique antagonists (both in surveillance they do internally, and in the technology they export to other countries). They do a lot of dystopian shit of both types. However, Israeli and US tech companies, and undoubtedly tech companies from other Western nations, also do a lot of dystopian shit. Perhaps one key difference between the surveillance described above, and the Western type, is: * The surveillance in the above article is about exercising *great control over a medium area*: you can see everything, but it requires active participation of the government of the territory being surveilled. * The Israeli / US / Western flavor is about exercising *medium control over a great area*: there are more limits to how much they can do, but their surveillance is global: they know what people are doing even in countries and territories they have no presence in. The distinction is not absolute: Israeli surveillance backstops a lot of its human rights abuse in Palestine, US surveillance reinforces ICE abuses (see the recent article about Homeland Security demanding social media firms reveal names of anti-ICE protesters), etc, and "transnational repression" is done by anti-Western countries. But *on average*, the above seems to be the pattern. The two are differently scary. The former for the reasons I described above. The latter because it allows global projection of power: a politician or civil servant in one country now has to worry about being blackmailed, droned or otherwise attacked from other countries. The USA has shown willingness to go after individual EU officials, ICC officials (see recent articles on both), and others. Ultimately, I suspect that even democratic governments will want more privacy to protect themselves, and we will have to have deep conversations about what "democratic accountability" means: how can a civil servant be accountable to the people, but not accountable to foreign spooks? My high-level frame is: privacy generally helps whoever is weaker. "Weaker" does not mean "moral": sometimes the weaker side is criminal. But in the 21st century, we are at serious risk of stronger factions using modern technologies to establish unbreakable lock-in to power. And so on average, reducing the gradient of power, giving the weak a fighting chance, is something that the world desperately needs.
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Cod3x | Win More Trades
Cod3x | Win More Trades@Cod3xOrg·
You're at a conference. You speak the language. You have a business card. But the lights are off and everyone's in different rooms with the doors closed. You can talk, you just can't find anyone to talk to. That's AI agents right now. MCP lets agents list capabilities. A2A handles authentication and messaging. The communication problem is solved. Your agent can talk. But how does it find anyone worth talking to? Your trading agent needs a price feed. Sentiment data. On-chain analytics. How does it discover which providers exist? Which ones are reliable? Which ones won't feed it garbage? If they're not on the same platform, same directory, same proprietary index, they might as well not exist. Communication without discovery is a phone with no contacts. ERC-8004 is the missing layer. A global registry where agents and data providers exist permanently. Identity tells you who's out there. Reputation tells you who's worth hiring. Validation proves it for high-stakes tasks. MCP tells agents how to talk. 8004 tells them who's worth talking to. At Cod3x, this unlocks trading agents discovering data providers across platforms and not trapped in one walled garden. Open discovery for an open agent economy.
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Trisha Code
Trisha Code@TrishaCode·
Cyborg Code : The Photovoltrayons @hedra_labs
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Sam Altman
Sam Altman@sama·
I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.
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BORED
BORED@BoredElonMusk·
Most people don’t understand the power of compounding. And they definitely don’t understand the power of insider information.
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RaySonic 🔮
RaySonic 🔮@RaysonWC·
@hardtotelll The one that seems like it would be dynamic enough to work for all parties involved would be something like a sovereign wealth type fund that pays dividends. Or layers of those. The trust fund babies prove the model works.
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James Kramer 🔥
James Kramer 🔥@hardtotelll·
@RaysonWC Which post-labor economics ideas resonate most when seeking paths between concentrated power and widespread unrest?
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Naval
Naval@naval·
Robots are replacing all the people doing robotic jobs.
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Trisha Code
Trisha Code@TrishaCode·
TRISHASODE 34
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