Vontarius Falls
@VontariusF
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CMO @moonwardcapital | shipping @moonsage_alpha, building { redacted } *opinions are my own
Worldwide
Joined January 2020
Agent-to-Agent Commerce: The Dawn of Machine Markets 📜.------------> (full writeup in comments) <--------------
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learn how to descend into & return from your own madness before looking to descend into someone else’s.
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As an update, this smells & tastes like sewer water fermented in the gastrointestinal sac of sick boar.
Heard Attote & la paix congnon-mousso yako are supposed to be male super serums. Will update on results
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Heard Attote & la paix congnon-mousso yako are supposed to be male super serums. Will update on results
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as an onion, why would you want to make me cry? as a final act of love? rude if you ask me tbh.
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As you can see here, my 3090 was getting absolutely fried lol.
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I had to switch things up, ended up with even more datapoints than I initially thought. Almost double to be exact. We got the job done though. Onward to the next phase. Time for some testing, maybe more training depending on results
Training has begun. Using a concentrated dataset of about 50k datapoints generated from the previous setup. This includes - sentiment analysis, price prediction data, trading signal data, strategy analysis data, & technical analysis data created through our multi-agent
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banger.
4 stages of training LLMs from scratch, clearly explained (with visuals):.
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What more could you ask of me?
Of course I’m training an LLM on a 90k dataset of trading parameters, social sentiment, & OHLCV while making Churro cornbread. What else would I be doing today?.
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Of course I’m training an LLM on a 90k dataset of trading parameters, social sentiment, & OHLCV while making Churro cornbread. What else would I be doing today?.
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Not a fan of my form but I am a fan of my progress. 15kg L pull up & a few one handed push ups to cap off my workout today
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Had to switch to an H100 btw lol, my RTX was getting COOKED.
Backtest your qualitative signals. This is the wei.
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we're cooking
Training has begun. Using a concentrated dataset of about 50k datapoints generated from the previous setup. This includes - sentiment analysis, price prediction data, trading signal data, strategy analysis data, & technical analysis data created through our multi-agent
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Training has begun. Using a concentrated dataset of about 50k datapoints generated from the previous setup. This includes - sentiment analysis, price prediction data, trading signal data, strategy analysis data, & technical analysis data created through our multi-agent
*Update .Have accumulated a ton of data based on agent generated parameters & testing over the past week. Next step is to take all of this & use ML to train an ever more specialized stack of agents. Genuinely excited to see what type of metrics we have in the book in 30 days
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*Update .Have accumulated a ton of data based on agent generated parameters & testing over the past week. Next step is to take all of this & use ML to train an ever more specialized stack of agents. Genuinely excited to see what type of metrics we have in the book in 30 days
I value the reasoning & the ability for the agent to follow distinct guidelines more than anything. Most traders lack discipline. I think by natively embedding rule based execution & strict risk management then I can more than likely scale positive sum outcomes. Every piece of
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