EA Backtest Data Normalizer
Pricing
from $5,000.00 / 1,000 symbol×timeframe job completeds
Pulls historical forex price data from Dukascopy's public archive and normalizes it into clean, consistent OHLCV format ready for Expert Advisor backtesting. Flat $5/job pricing, $6 if data gaps are detected.
You can access the EA Backtest Data Normalizer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "symbol": "EURUSD",10 "dateFrom": "2026-08-25",11 "dateTo": "2026-08-26",12}13
14# Run the Actor and wait for it to finish15run = client.actor("conceivable_extension/ea-backtest-data-normalizer").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use EA Backtest Data Normalizer API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: