The center of agentic trading.
TickerDB integrates into the tools you already use. Ask questions in chat, run scheduled research in coding agents, connect MCP servers, or add our SDKs to your codebase.
TickerDB market context 
Claude market research 
ChatGPT market research 
Gemini market research 
Cursor daily scripts Codex daily scripts 
MCP agent tools 
Robinhood agentic trading 
Coinbase agentic trading 
LangChain agent apps 
Vercel AI custom dashboards Find setups using natural language.
Our semantic data layer maps complex trading patterns into simple queries, making your agent work smarter, faster, and cheaper.
Ask Claude to monitor your watchlist.
Instead of pasting raw candles into a chat, connect TickerDB MCP and ask normal questions about your watchlist. The model can call a tool, inspect structured market context, and explain the result without you building a screener first.
Claude tickerdb MCP connected what changed on my watchlist today? show the tickers worth researching and explain the setup in normal language.
{
"tool": "tickerdb.search",
"filters": {
"watchlist": true,
"trend_direction": "uptrend",
"support_status": "intact",
"momentum_rsi_zone": ["oversold", "neutral_low"]
},
"matched": 18,
"top_candidates": ["CRWD", "SNOW", "AMD"]
} CRWD, SNOW, and AMD are the cleanest follow-ups. They are pulling back without breaking support, so the next step is reading news and checking whether the move is company-specific or market-wide.
Supercharge your workflow in ChatGPT.
Connect TickerDB through MCP and your LLM can call market data tools directly from the chat. No custom parsing, no indicator math, no extra data pipeline.
Have Cursor conduct daily research for you.
Keep the workflow in your repo. Cursor can wire up the SDK, read your watchlist changes, run a query for fresh setups, and write a Markdown report before you start working.
import { writeFile } from "node:fs/promises";
import { TickerDB } from "tickerdb";
const client = new TickerDB({
apiKey: process.env.TICKERDB_API_KEY
});
const { data: changes } = await client.watchlistChanges();
const { data: setups } = await client.query()
.select(
"ticker",
"trend_direction",
"support_status",
"momentum_rsi_zone"
)
.eq("trend_direction", "uptrend")
.eq("support_status", "intact")
.limit(12)
.execute();
await writeFile(
"reports/market-open.md",
renderReport({ changes, setups })
);Auto trade on Robinhood.
TickerDB tells the agent what the market state is. Robinhood MCP gives it a dedicated account to trade in. Your rules define sizing, risk, and exits while the agent uses assigned funds autonomously and logs every action.
Build custom dashboards.
Turn hundreds of indicators into watchlists, custom screeners, and alerts that tell you what changed and why it matters.
Watchlist momentum
Oversold near support while the broader uptrend remains intact.
Suggested sizing stays under the 6% exposure cap.
Keep it on the list, but wait for strength before adding.
Support is holding for now, so no action is needed yet.
Add to any codebase in minutes.
Add our MCP server, SDKs or direct API calls to any project.
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