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Ace
@ace
wowow.. locked my $DEGEN again and got bigass tip to give away. ๐ฉ 1 of you win a lot of $DEGEN ๐ฉ 1. If you could train an @alfaca AI intern for yourself, what would you ask it to look out for? (@megajay has a good example) 2. recast/like 3. @ your degen friends https://warpcast.com/megajayar/0x85b746d0
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Mary ๐ฉ
@thegoldenbright
๐๐๐ฒ๐ฝ ๐ญ gathering three types of data: โ social media data - collect posts and comments from farcaster and x to analyze and identify emerging trends, sentiments, and discussions โ copy trading data: data on the trades made by successful traders to identify patterns and strategies from @interface and top users on the alfaca list โ token data - data related to the token, such as market capitalization, circulating supply, team, technology, and partnerships ๐๐๐ฒ๐ฝ ๐ฎ risk management: using robust risk management strategies to protect the capital, such as stop-loss and position sizing
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Mary ๐ฉ
@thegoldenbright
๐๐๐ฒ๐ฝ ๐ฏ I would also need to ensure the quality and reliability of the data used in the case of market manipulation or bots casting about tokens to create hype ๏ฟฌ ใ ก train it to assess the sentiment of social media posts and filter out noise from bots ใ ก to analyze data from multiple platforms to help identify genuine trends + data from various reputable cryptocurrency exchanges ใ ก train it on previous token data to identify and predict unusual patterns in trading data that could be indicative of manipulation ๐๐๐ฒ๐ฝ ๐ฐ then I'd probably test-run it for a couple of weeks and adjust whenever necessary before actually using it for trading
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