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 Illustration

AI completion using live indicator data Connected

15+API endpoints

42Indicator series

M1–D17 timeframes

$2.50PAYG starting credit

Why TickAtlas

Why Use TickAtlas?

Pre-Calculated, Redis-Cached

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 every symbol in our data.

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, "data": { "symbol": "EURUSD", "indicator": "RSI_14",
#                      "value": 62.48, "bid": 1.08401, "ask": 1.08414, ... } }

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:
{ "success": true, "data": { "symbol": "EURUSD", "indicator": "RSI_14",
  "value": 62.48, "bid": 1.08401, "ask": 1.08414,
  "updated_at": 1711548000, "server_time": "..." } }

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()["data"]["value"] < 30

Every new account gets $2.50 in free API credits

Pricing

Pay-As-You-Go

$2.50 free credit

From $0.005 per standard 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.

Plug into any stack

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

Docs and implementation

Every next step is one click away.

Landing pages convert; documentation closes the loop. These are the routes a developer usually needs next.

Documentation hub

Start from the developer portal and map the API families your product needs.

Open docs

Quickstart

Make the first authenticated request and validate the setup end to end.

Read quickstart

API reference

Request and response contracts for quote, indicator, summary and calendar.

Browse reference

Integrations

How the API drops into ChatGPT, Claude, Discord, n8n, Zapier and Sheets.

See integrations

Frequently asked questions

What developers ask first.

Straight answers on limits, coverage and how the endpoint behaves in production.

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?

Start building

Start Building in 5 Minutes

Every new account starts with $2.50 of pay-as-you-go credit. No card required.

Get $2.50 free credit Read the Docs