Andreas Bigger
3edf2d9ece
- Create README.md for paracas-daemon and paracas-estimate
- Add #![doc = include_str!("../README.md")] to daemon/estimate lib.rs
- Add missing Cargo.toml metadata (docs.rs, authors, keywords, categories)
- Reorder workspace dependencies by line length per style guide
- Document background jobs, download-all, status, and job commands
paracas-lib
High-performance Rust library for downloading historical tick data from Dukascopy.
Features
- Fast: Concurrent downloads with connection pooling
- Flexible: CSV, JSON, and Parquet output formats
- Complete: All 1000+ Dukascopy instruments supported
- Aggregation: Built-in OHLCV aggregation
Quick Start
use paracas_lib::prelude::*;
use futures::StreamExt;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
// Get instrument
let registry = InstrumentRegistry::global();
let instrument = registry.get("eurusd").unwrap();
// Create client
let client = DownloadClient::with_defaults()?;
// Define date range
let range = DateRange::new(
chrono::NaiveDate::from_ymd_opt(2024, 1, 1).unwrap(),
chrono::NaiveDate::from_ymd_opt(2024, 1, 1).unwrap(),
)?;
// Stream ticks
let mut stream = tick_stream(&client, instrument, range);
while let Some(batch) = stream.next().await {
let batch = batch?;
println!("Downloaded {} ticks for {:?}", batch.len(), batch.hour);
}
Ok(())
}
Crates
This is a facade crate that re-exports functionality from:
paracas-types- Core types (Tick, Instrument, DateRange)paracas-instruments- Instrument registryparacas-fetch- HTTP client and data fetchingparacas-aggregate- OHLCV aggregationparacas-format- Output formatters
Related workspace crates (not re-exported):
paracas-daemon- Background job managementparacas-estimate- Download size estimation
License
MIT License - see LICENSE for details.