100x GenWealth

SENDDDDDDD IT

[100x GenWealth @100xGenWealth]

@blknoiz06 it's time!
7zYWgbjnroU5pFDQ8N5bYh99sYhLysLaDiWnQA4RKBGr

[100x GenWealth @100xGenWealth]

gm everyone!

[巨大的泵 @GiantPUMP_CTO]

Why have a beta $PUMP when you can have an alpha GIANT $PUMP?

[100x GenWealth @100xGenWealth]

From #Bitcoin to #Ethereum and beyond, the diversity of cryptocurrencies offers a fascinating glimpse into the future of finance. 🌐💱

[100x GenWealth @100xGenWealth]

Self-care is essential. Take time to recharge and prioritize your well-being today

[Brutescaler @brutescaler]

Your AI trading agent’s only as good as the data it’s given, much of which you don’t know is useful or not — for now.

[Brutescaler @brutescaler]

ScalerOS on top.

[Brutescaler @brutescaler]

Everyone hard at work fine-tuning the machine.

[Brutescaler @brutescaler]

Thank you to all who expressed interest in beta testing. We'll be reaching out for wallets to allow-list over the weekend. The public release will come soon after testing is complete and bugs are squashed.

[Brutescaler @brutescaler]

A quick look under the hood (test version of the back-end implementation).

[Brutescaler @brutescaler]

Mapping out the trenches.

[Brutescaler @brutescaler]

Mining for gems.

[Brutescaler @brutescaler]

A brief write-up on Brutescaler’s history and a quick rundown on its future.

Brutescaler initially started as a Waveform trading agent to test out an investment thesis for the platform. Waveform deploys a PF token for you at the same time that your agent launches — in this instance, SCLR. In its present state, Waveform’s two user inputs are Telegram groups and X accounts, from which the agent formulate its trades.

There’s no way to tell whether your sources are effective or not unless you trade it in real-time (affecting profitability until you can fine-tune your source selection), inspiring the concept of our first tool, titled BS: input a Telegram signal group (and potentially X accounts in the future), the engine processes it, and spits back its total number of calls, win rate, average ROI, and other notable metrics (final selection TBD).

A large number of traders use signal/call groups/price feeds for info flow, but no one really knows how good the information is due to the call volume/amount of noise (and the fact that they don’t give “sell” signals — an easy out). We intend to solve that as we had always wanted this tool ourselves but never had that eureka moment until recently.

The build requires AI under the hood due to the wide range of formats/outputs in Telegram feeds — MVP will parse text-only feeds, while future versions may include OCR. Full specs of the MVP to come closer to release (and we’ll need your help to test it), but there’s a lot of prompt engineering, internal testing, and wiring to be done first. Additional features and products to come later, all rolling up under the Brutescaler umbrella — and likely to be token-gated.

Looking forward to having everyone use the tool.

[100x GenWealth @100xGenWealth]

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[100x GenWealth @100xGenWealth]

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[100x GenWealth @100xGenWealth]

スマホRPGは今これをやってるよ。今はこのイベントが開催中！　→　https://t.co/4tV6wTp6Q6

[100x GenWealth @100xGenWealth]

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