How to Build Finance AI Agents

💰 I 𝗿𝗲𝘃𝗲𝗿𝘀𝗲-𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 a 𝗵𝗶𝗱𝗱𝗲𝗻 𝗴𝗲𝗺 𝗣𝗿𝗶𝗻𝗰𝗲𝘁𝗼𝗻 Finance AI paper so 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳. Stops 𝗠𝗶𝗹𝗹𝗶𝗼𝗻-𝗗𝗼𝗹𝗹𝗮𝗿 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀. Gets AI ready for 𝗿𝗲𝗮𝗹 𝘁𝗿𝗮𝗱𝗶𝗻𝗴.

Most crypto AI agents crash and burn.

Why?

One fake tweet can destroy your portfolio.
AI believes Google results over actual blockchain data.
Models make wild guesses instead of smart decisions.

While

$30 billion lost to scams in 2024.
BUT Companies still trust AI with real money.

This paper fixes it with seven smart helper agents.

I rebuilt it with 𝗣𝘆𝘁𝗵𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗖𝗿𝗲𝘄𝗔𝗜 & 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵. Here's how it works:

》𝗔𝗴𝗲𝗻𝘁 𝟭: Smart Router

✸ Sends blockchain questions to the blockchain 
✸ Sends price questions to trusted data sources
✸ Always picks the most reliable source first

→ Result: Gets truth, not rumors.

》𝗔𝗴𝗲𝗻𝘁 𝟮: Time Stamper

✸ Marks exactly when each piece of data was captured 
✸ Locks information to specific moments 
✸ You can replay and verify any decision

→ Result: No more "but it was different yesterday" problems.

》𝗔𝗴𝗲𝗻𝘁 𝟯: Double Checker

✸ Asks two different trusted sources 
✸ Compares their answers 
✸ Only trusts information when both sources agree

→ Result: Catches lies before they cause damage.

》𝗔𝗴𝗲𝗻𝘁 𝟰: Hype Detector

✸ Reads social media but spots fake hype instantly 
✸ Identifies coordinated pump-and-dump schemes 
✸ Flags suspicious patterns before you lose money

→ Tools: Pattern recognition + Scam detection.

》𝗔𝗴𝗲𝗻𝘁 𝟱: Safety Tester

✸ Tests every trade in simulation first 
✸ Runs it with real market conditions 
✸ Calls for human review when something looks risky

→ Result: Practice safely, then execute confidently.

》𝗔𝗴𝗲𝗻𝘁 𝟲: Decision Maker

✸ Plans the entire strategy before acting 
✸ Only makes the trade when everything checks out 
✸ Never gambles—always thinks first

→ Result: One smart move beats five random attempts.

》𝗔𝗴𝗲𝗻𝘁 𝟳: Record Keeper

✸ Writes down every source and timestamp 
✸ Creates a permanent record you can audit 
✸ Tracks the reasoning behind every decision

→ Result: Total transparency. Zero mysterious trades.

》𝗧𝗲𝘀𝘁𝗲𝗱 on Real Market Chaos: 
✸ Catching fake Twitter campaigns. 
✸ Spotting differences between hype and reality. 
✸ Preventing AI from making costly mistakes.

👉Read the paper here

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👩‍💻 Written by Dr. Maryam Miradi
CEO & Chief AI Scientist
 I train STEM professionals to master real-world AI Agents.