Backtesting Data API — OHLCV + Indicators, 1000 Bars

GET /v1/ohlc returns up to 1000 historical candles. Pair it with /v1/indicator/history to backtest indicator-driven strategies without rolling your own data store.

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EURUSD H1 — 500 bars + equity curve

Equity: +12.4% · Drawdown: -3.2% Backtest Updated 2s ago

One Request. Instant Data.

REQUEST

curl -X GET \
  "https://tickatlas.com/v1/ohlc?symbol=EURUSD&timeframe=H1&limit=500" \
  -H "X-API-Key: YOUR_API_KEY"

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 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

Python Backtesting Example

Python + pandas

import requests, pandas as pd

r = requests.get(
    "https://tickatlas.com/v1/ohlc",
    headers={"X-API-Key": "YOUR_API_KEY"},
    params={"symbol": "EURUSD", "timeframe": "H1", "limit": 500},
)
df = pd.DataFrame(r.json()["data"]["candles"])
df["time"] = pd.to_datetime(df["time"])
df = df.set_index("time").astype(float)

# returns: 500-row OHLCV DataFrame ready for vectorbt/backtrader

JSON Response

{
  "success": true,
  "data": {
    "symbol": "EURUSD",
    "timeframe": "H1",
    "candles": [
      { "time": "2026-03-29T13:00:00Z",
        "open": 1.0820, "high": 1.0840,
        "low": 1.0815, "close": 1.0838,
        "volume": 12450 }
    ],
    "count": 1,
    "retention": null
  }
}

cURL

curl -X GET   "https://tickatlas.com/v1/ohlc?symbol=EURUSD&timeframe=H1&limit=500"   -H "X-API-Key: YOUR_API_KEY"

Compatible Backtesting Frameworks

vectorbt

Load OHLCV into vectorbt Portfolio for vectorized backtesting

backtrader

Convert API responses to backtrader feeds via pandas DataFrames

Zipline/Lean

Export to CSV and import into Zipline or QuantConnect's Lean engine

Custom Python

Raw JSON arrays work directly with numpy, scipy, and any custom strategy loop

Every new account gets $2.50 in free API credits

Pricing

Pay-As-You-Go

$2.50 free credit

~$0.001/call. Load a few hundred candles for initial testing.

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