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#gm #quest #papertrade #bugbounty

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#marketLore 003 👀

In 1999, a five-year-old chimpanzee named Raven decided to take on Wall Street.

Armed with ten darts and a board of 133 internet stocks, Raven randomly picked companies to build a stock portfolio.

By the end of the year, her picks had returned an astonishing 213%, outperforming over 6,000 professional money managers.

Her portfolio even had its own index called the MonkeyDex.

No financial degree. No technical analysis. Just a chimp throwing darts and beating Wall Street.

Tag someone who spends 6 hours analyzing charts just to get outperformed by a chimp. 💀

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My AI agent watching Asian markets crash, knowing US markets open next

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@tokenterminal For the holder-wallet comparison, do you exclude exchange, pool and bridge addresses? Separating those from other holders would make the distribution across issuers easier to interpret.

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You went all in on $SPCX before earnings, and it actually worked

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@lookonchain the gap between bitcoin inflow and ethereum outflow tells you where the institutional focus

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@CoinDesk traders shifting from pure speculation to risk management is the clearest sign of market maturity

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@KobeissiLetter Does the 60% off-hours volume refer primarily to major US tickers or do stablecoin-backed synthetic assets make up the bulk of that activity?

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bitcoin:native SHEESH

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$AAPL
$NVDA
$TSLA
$SPY
$NFLX

Search the name.
Start at $1.
Hold it in a wallet.

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@RealJackPoor Illiquid but diamond hands

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@BrianFeroldi Great business, bad valuation is probably the hardest lesson in investing. Even the best companies can be bad buys at the wrong price.

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@howardlindzon The funniest part is how political labels change, but the conviction that everyone else is the problem stays constant 💀

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@Mr_Derivatives The $VIX always finds a way to remind us 💀

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@Kalshi Bulllish

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@AshCrypto

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@ToolySOL You forgot the unrealized PNL mood

[Bloom @BloomMkts]

A big week ahead for markets. 👀

Big tech earnings, economic data, central bank decisions, and crypto unlocks are all on the calendar.

Here's what to watch (Oct 19–25):

📅 TUESDAY, OCT 20
• 10:30 UTC — General Motors ($GM) earnings
• 11:30 UTC — GE Aerospace ($GE) earnings call
• 20:01 UTC — Netflix ($NFLX) earnings

📅 WEDNESDAY, OCT 21
• 20:30 UTC — Meta ($META) earnings call
• 21:00 UTC — IBM ($IBM) earnings call
• 21:30 UTC — Tesla ($TSLA) earnings webcast

📅 THURSDAY, OCT 22
• ~01:00 UTC — Bank of Korea rate decision
• 12:30 UTC — US Initial Jobless Claims
• 12:30 UTC — P&G ($PG) earnings call
• 20:30 UTC — Western Digital ($WDC) earnings call

📅 FRIDAY, OCT 23
• 11:00 UTC — American Express ($AXP) earnings
• 13:45 UTC — US Manufacturing & Services Flash PMI
• Japan CPI — 23:30 UTC Thursday (Friday local time)

Markets will be watching how big tech earnings, AI spending, inflation pressures, and interest rate expectations shape the week ahead.

Which event are you watching most closely?
a

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@cz_binance

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@0xSweep

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How it feels gearing up for the market open after last week’s AI stock bloodbath, just in time for Big Tech earnings week