Research to Trade Workflows
These examples show how Auto executes the full research-to-trade loop: analyze a market opportunity, make a decision, then execute the trade — all in one conversation. Auto retains context across messages, so each follow-up builds on previous research without repeating information.
How to Research a Trending Memecoin and Buy It
This example demonstrates discovering trending tokens, evaluating risk, and executing a swap based on research results.
Turn 1 — Research:
"What memecoins are trending on Base right now? Show top 3 with quick risk notes."
Auto fetches trending tokens on Base, shows the top 3 with price, volume, and risk flags (liquidity, volatility).
Turn 2 — Execute:
"Buy $300 of the strongest one using USDC on Base."
Auto picks the highest-signal token from the research, executes the swap, and provides an explorer link.
How to Bridge ETH and Rotate Into a Base Memecoin
This example shows a multi-step workflow: checking balances on Ethereum, discovering Base trends, bridging funds, and swapping into a position.
Turn 1 — Discover:
"I have 2 ETH on Ethereum. What's trending on Base and what should I rotate into?"
Auto confirms your Ethereum balance, shows Base trends, and suggests a candidate with sizing.
Turn 2 — Bridge:
"Bridge 0.6 ETH to Base."
Auto bridges from Ethereum to Base and provides tracking.
Turn 3 — Swap:
"Once it lands, swap 0.4 ETH into that token."
Auto waits for the bridge to complete, then executes the swap on Base.
How to Compare Token Momentum and Trade the Winner
This example demonstrates using technical price comparison to choose between two tokens, then executing a trade based on the analysis.
Turn 1 — Compare:
"Compare the last 30 days for ARB vs OP and tell me which has better momentum."
Auto pulls price charts for both, compares trend and volatility, and recommends one.
Turn 2 — Trade:
"Okay, buy $500 of your pick on Arbitrum."
Auto executes the swap on Arbitrum based on its recommendation.
How to Review Your Portfolio and Rebalance to Target Allocations
This example shows Auto analyzing your cross-chain portfolio, identifying allocation drift, and executing rebalancing trades.
Turn 1 — Review:
"Review my wallet across Ethereum, Base, and Arbitrum and suggest a rebalance to 40% ETH, 40% stables, 20% high beta."
Auto calculates your current allocation, identifies drift, and proposes specific trades.
Turn 2 — Execute:
"Do the rebalance on Base first."
Auto executes the suggested swaps on Base to hit your target allocation.
How to Find the Best Yield and Deposit Into It
This example demonstrates discovering yield opportunities, filtering by TVL, and supplying assets to a lending protocol.
Turn 1 — Research:
"Find the best stablecoin yields with at least $1M TVL."
Auto searches yield rates across protocols, filters by your criteria, and ranks by risk-adjusted returns.
Turn 2 — Supply:
"Supply 500 USDC to the top Aave option on Base."
Auto confirms the APY, shows the details, and asks for confirmation before supplying.
Turn 3 — Verify:
"Show my Aave positions now."
Auto displays your updated lending positions across all chains.
How to Follow Smart Money Signals Into a Trade
This example shows tracking institutional and smart money wallet activity, performing due diligence on accumulated tokens, and taking a position based on the findings.
Turn 1 — Signal:
"Are smart traders accumulating any tokens this week?"
Auto checks Nansen data for smart money net flows and buying activity.
Turn 2 — Deep dive:
"Tell me more about the top one — holder concentration, recent flows, and price action."
Auto runs a full token due diligence workflow with on-chain and market data.
Turn 3 — Execute:
"Buy $200 of it on Base."
Auto executes based on the research context from previous turns.
How to Research a Polymarket Prediction and Place a Bet
This example demonstrates browsing trending prediction markets, analyzing market data, and placing a trade on Polymarket — a decentralized prediction market platform.
Turn 1 — Browse:
"What are the hottest Polymarket markets right now?"
Auto shows trending prediction markets with odds and volume.
Turn 2 — Deep dive:
"Show me the full details on the top one — odds, orderbook, volume."
Auto pulls comprehensive market data.
Turn 3 — Trade:
"Buy $25 of YES on that market."
Auto sets up Polymarket if needed, approves USDC, and places the trade.
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