Cursor + TickAtlas — Trading Bots with Real Data

Open Cursor, point its AI at our docs URL, and let it write trading-bot code against real endpoints. Native MCP server coming soon; today, REST + URL context is enough.

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cursor · forex_bot.py

AI completion using live indicator data Connected Updated 2s ago

Why Use TickAtlas?

Pre-Calculated, Sub-100ms

Indicator values are computed server-side on every new candle. Your app queries the result — no TA library, no candle history needed.

7 Timeframes

M1, M5, M15, M30, H1, H4, D1 — the same endpoint serves scalpers and position traders alike.

Forex, Crypto, Commodities

EURUSD, GBPUSD, XAUUSD, BTCUSD, USDJPY — data available for all symbols active on connected broker terminals.

Plug into any stack

ChatGPT Custom GPTs
Claude Tools
Python / pandas
Node.js
Discord bots
Slack webhooks
n8n
Zapier
Google Sheets

The Workflow

Get your API key, hit the endpoint, paste the response into Cursor — done.

Step 1 — Get your API key and test the connection

curl -X GET   "https://tickatlas.com/v1/indicator?symbol=EURUSD&indicator=RSI_14&timeframe=H1"   -H "X-API-Key: YOUR_API_KEY"
# → { "success": true, "symbol": "EURUSD", "value": 62.48, "signal": "neutral" }

Step 2 — Feed the response to Cursor's chat

# In Cursor's chat panel (Cmd+L / Ctrl+L), paste:

I'm building a Python forex bot. The TickAtlas API at
tickatlas.com/v1/indicator returns this shape:
{ "value": 62.48, "signal": "neutral" }

Write a function `is_oversold(symbol)` that returns True when
RSI_14 on H1 is below 30. Use requests and read the key from
the CLAW_API_KEY env var.

Step 3 — Cursor writes code that uses the real API

import os, requests

def is_oversold(symbol: str) -> bool:
    r = requests.get(
        "https://tickatlas.com/v1/indicator",
        headers={"X-API-Key": os.environ["CLAW_API_KEY"]},
        params={"symbol": symbol, "indicator": "RSI_14", "timeframe": "H1"},
        timeout=5,
    )
    r.raise_for_status()
    return r.json()["value"] < 30

Every new account gets $2.50 in free API credits

Pricing

Pay-As-You-Go

$2.50 free credit

~$0.001/call. Ideal for occasional IDE sessions while building your bot.

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FAQ

What do I need to get started?

Just a TickAtlas API key and any HTTP client. Python with requests, or even plain curl. Sign up, get your key, hit the endpoint, paste the response into Cursor — that's the whole setup.

What's the best way to use this with Cursor specifically?

Run a quick curl call to get a live indicator response, then paste it into Cursor's composer with a prompt like "here's the API response structure, write a Python function that parses this and checks for RSI overbought conditions". Cursor writes code that matches the actual field names and types.

Is an MCP server integration planned?

Yes — a native MCP server is in development. Once available, it will let Cursor query market data directly in the chat panel without you needing to copy-paste API responses. Sign up now to get early access when it launches.

Frequently Asked Questions

What do I need to get started?

Just a TickAtlas API key and any HTTP client. Python with requests, or even plain curl. Sign up, get your key, hit the endpoint, paste the response into Cursor — that's the whole setup.

What's the best way to use this with Cursor specifically?

Run a quick curl call to get a live indicator response, then paste it into Cursor's composer with a prompt like "here's the API response structure, write a Python function that parses this and checks for RSI overbought conditions". Cursor writes code that matches the actual field names and types.

Is an MCP server integration planned?

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