Python Forex API — One requests.get() Away
Pull live indicators, OHLCV, and AI summaries into Python with a single GET. Responses drop straight into pandas DataFrames.
No credit card. $2.50 PAYG credit on sign up.
One Request. Instant Data.
import requests
response = requests.get(
"https://tickatlas.com/v1/indicator",
headers={"X-API-Key": "YOUR_API_KEY"},
params={
"symbol": "EURUSD",
"indicator": "RSI_14",
"timeframe": "H1"
}
)
data = response.json()
print(data["value"])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
Three Ways to Use It
What You Can Build
Automated Trading Bot
Scan symbols, detect confluence, post to Discord or fire broker orders via your Python trading library — all in Python with TickAtlas providing the indicator data layer.
Jupyter Research
Fetch live indicator snapshots into a DataFrame in a Jupyter notebook. Compare multiple symbols, build correlation matrices, test hypothesis ideas without downloading historical data.
FastAPI / Flask Backend
Build a market data microservice that proxies TickAtlas to your own frontend, transforms data, or caches it for internal dashboards. Python backend, minimal code.
Compatible Python libraries
Frequently Asked Questions
What Python dependencies do I need?
Only the standard requests library for basic usage. For pandas integration, add pandas. For async usage, use aiohttp or httpx. No TA-Lib, no CCXT, no trading-specific libraries required.
How do I load indicator history into a pandas DataFrame?
Call GET /v1/indicator/history with your chosen symbol, indicator, and timeframe. The response returns a list of {timestamp, value} objects. Pass it to pd.DataFrame() and set_index('timestamp') for a time-indexed series ready for analysis.
Can I use this with async Python (asyncio / aiohttp)?
Yes. Replace requests.get() with aiohttp.ClientSession().get() or httpx.AsyncClient().get(). The API is standard REST with JSON — fully compatible with any async HTTP client.
Is there a Python SDK?
Not yet — but the API is simple enough that a 5-line helper function is all you need, as shown in the examples above. A typed Python client may be added in future. Follow the changelog at tickatlas.com for updates.
Start Building in 5 Minutes
Sign up, grab your API key, make your first request.
Every new account gets $2.50 in free PAYG credits. No card required.