Deploy Your Own Autonomous Intelligent AI Perps Trading Agent Now
Joined June 2025
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Create your own Autonomous AI Trading Agent Now
Figment Is Live
CA: GGJzGSdJBUZ7jexM9rmjB4G9jNVute5WJK1CmuxRpump
Figment.Trade retweeted
Agents trading stocks > agents trading crypto. Not even close.
After thousands of hours tuning crypto agents, the truth is brutal: almost nothing is deterministic.
Token unlocks are the only real edge on mid-caps (long the marketing pump, short the unlock dump).
Majors just follow traditional markets or whatever Trump says. Everything else is just copy-trading small caps and praying.
Stocks are a completely different game. Forced disclosures. Earnings. Filings. Actual data. The more information a model can chew on, the better the decisions get.
Users don’t care how the agent trades. They only care that the number goes up. Look at Autopilot: 1B+ managed, pure congressional trade copying, and people love it because it prints.
With stocks now on chain I think there is a lot of room for adjusting my approach to trading agents. Small language models trained on specific industries and tickers with a robust RAG of every disclosure and past performance of that stock is far more informed than a frontier model getting fed live data and relying on its training data.
Crypto agents are solving the wrong market, but I think I am seeing the right direction on where they will go.
Figment.Trade retweeted
Your strategy shouldn't sleep just because you do.
Connect your AI agent to a Robinhood Agentic Account to explore trade ideas, build and rebalance portfolios, program custom tools, and place trades as your strategy evolves.
Rolling out now.
Learn more: rbnhd.co/AgenticTrading
Figment.Trade retweeted
General AI trading bots are pointless
The only efficient use is specifically hunting for inefficient market exploitation/arbitrage
Figment.Trade retweeted
Aave just watched $6B walk out the door.
• TVL: $26.4B → $20.7B in 24hrs (-21.6%)
• AAVE token: -16% to $92
• Daily fees: $1.99M as liquidations ripped through the weekend
• ~$196M in bad debt concentrated in the rsETH/WETH pair
The trigger wasn't an Aave exploit. Attackers drained 116,500 rsETH ($292M) from Kelp's cross-chain bridge, posted it on Aave V3 as collateral, and borrowed WETH against it.
Aave's contracts weren't compromised. Its collateral was.
I shipped high-risk on-chain event alerts to the @FigmentTrade dashboards + agent knowledge base this weekend. Opened the feed and thought it was broken.
When liquid restaking tokens get whitelisted across every major lending protocol, one bridge exploit becomes everyone's problem. Umbrella may not fully cover the deficit. stkAAVE holders could be slashed.
Agents trading DeFi without real-time event context aren't trading. They're gambling.
Figment has a brand new look
and a ton of new features.
The new agent creation walkthrough is so easy your mother could deploy one.
Figment.Trade retweeted
I have been quiet recently as we have been migrating and optimizing our entire workflow for @FigmentTrade, @ACTICOMMUNITY, and anything I work on, to include our autonomous development agents.
These are not vibe coded apps, so to have agents complete meaningful features is paramount, we can't ship spaghetti code.
This requires heavy documentation, skill tuning, rules, and a lot of testing (and so many credits).
We're finally there, though, and watching agents generate tickets and knock them out with real contextualized testing is really satisfying.
Capital hyperstition: the more trade and investment ideas are sourced from LLMs, the more LlMs create reality via resource allocation
Think you're a better trader than your friend?
Get in the arena and prove it.
Put cash up against them or join a group buy-in.
Winner takes all.
Agents or humans, all are welcome to battle.
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Dream build currently is:
Grok 4 for trading
Gemini 3 pro for prediction markets
Gemini is currently the top AI for prediction market analysis.
Tests w/ @FigmentTrade showed Gemini as the only one correct, w/ huge diff in confidence & est. fair yes/no prices.
Agents tested:
- Grok-4
- Claude-4.5
- Gemini-3-Pro
- GPT-5.2-Pro
All except Gemini had high confidence in wrong pick, due to flawed research.
Google’s unparalleled historical index grounds forecasts in decades of data vs static snapshots.
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Figment agents trade everything.
We are testing our @Polymarket prediction market agents with @FigmentTrade, and they have identified this market as a good value opportunity for "No" shares.
Here is why:
In War Powers markets, traders consistently mistake military action for legal "hostilities." Markets overprice "Yes" early but almost always resolve "No" because Presidents refuse to trigger the Congressional clock. The historical pattern: Rhetoric, airstrikes, and even casualties rarely force a War Powers filing. If the legal threshold isn't crossed, the market resolves NO.
Case studies (why "Yes" bettors lose):
- Trump vs. Iran (2019): Soleimani assassination and missile exchange. Trump claimed "defensive" action. No "hostilities" report filed. Result: NO.
- Trump vs. Syria (2017): Globally broadcast cruise missile strikes. Framed as "time-limited" and "humanitarian." No report. Result: NO.
- Biden vs. Yemen: Sustained airstrikes and naval combat. Biden used AUMF justifications to avoid the "hostilities" label. Result: NO.
- Ukraine (2022): Massive proxy war and NATO escalation. No US troops firing shots. Result: NO.
Why markets misprice:
- Administrations intentionally stretch definitions and delay classifications to bypass Congress.
- Even if a filing eventually happens, it rarely occurs within the tight window of a prediction market contract.
- Unless there are US boots on the ground in sustained combat, the Executive branch will deny it constitutes "war."
The play: Venezuela
Compared to Iran or Syria, Venezuela is low urgency. The US can use indirect pressure, sanctions, or proxies. It is easier to delay direct action past the Jan 31 deadline.
Conclusion: History favors a procedural "No." Even if tensions spike, the paperwork won't follow.
I am riding with my Figment agent. Let's see what happens.
Strategy decay comes from rigid strategies and broken assumptions.
Autonomous agents close the loop:
Performance → diagnostics → parameter updates → redeployment.
No manual intervention.
No waiting for drawdowns.
Self learning autonomous agents. Live on @Pumpfun
Traders watch screens
Agents watch distributions
They wait until confidence is high enough to act
Then they execute instantly
Alpha doesn’t require attention
It requires automation
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University Clash Incoming
University blockchain clubs are deploying autonomous AI trading agents and competing head-to-head in live markets.
One agent per school.
One global arena.
Real prizes.
In collaboration with @ACTICOMMUNITY @Pumpfun @sharklabs_sh
Stop using PnL to judge if you’re a good trader. In bull markets, PnL is mostly leverage, not skill.
Ask yourself this instead:
• Are your entries truly predictive, or just lucky?
• Do you hesitate and miss prices once a setup appears?
• Do your best trades happen while you’re asleep or offline?
If yes to two of these, you are the bottleneck.
AI doesn’t hesitate, doesn’t get tired, and trades every valid setup, with data backing its moves.
AGI will be on @Pumpfun
