yfinance-rs

Overview

An ergonomic, async-first Rust client for the unofficial Yahoo Finance API. It provides a simple and efficient way to fetch financial data, with a convenient, yfinance-like API, leveraging Rust's type system and async runtime for performance and safety.

Features

Core Data

• Historical Data: Fetch daily, weekly, or monthly OHLCV data with automatic split/dividend adjustments.
• Real-time Quotes: Get live quote updates with detailed market information.
• Fast Quotes: Optimized quote fetching with essential data only (fast_info).
• Multi-Symbol Downloads: Concurrently download historical data for many symbols at once.
• Batch Quotes: Fetch quotes for multiple symbols efficiently.

Corporate Actions & Dividends

• Dividend History: Fetch complete dividend payment history with amounts and dates.
• Stock Splits: Get stock split history with split ratios.
• Capital Gains: Retrieve capital gains distributions (especially for mutual funds).
• All Corporate Actions: Comprehensive access to dividends, splits, and capital gains in one call.

Financial Statements & Fundamentals

• Income Statements: Access annual and quarterly income statements.
• Balance Sheets: Get annual and quarterly balance sheet data.
• Cash Flow Statements: Fetch annual and quarterly cash flow data.
• Earnings Data: Historical earnings, revenue estimates, and EPS data.
• Shares Outstanding: Historical data on shares outstanding (annual and quarterly).
• Corporate Calendar: Earnings dates, ex-dividend dates, and dividend payment dates.

Options & Derivatives

• Options Chains: Fetch expiration dates and full option chains (calls and puts).
• Option Contracts: Detailed option contract information.

Analysis & Research

• Analyst Ratings: Get price targets, recommendations, and upgrade/downgrade history.
• Earnings Trends: Detailed earnings and revenue estimates from analysts.
• Recommendations Summary: Summary of current analyst recommendations.
• Upgrades/Downgrades: History of analyst rating changes.

Ownership & Holders

• Major Holders: Get major, institutional, and mutual fund holder data.
• Institutional Holders: Top institutional shareholders and their holdings.
• Mutual Fund Holders: Mutual fund ownership breakdown.
• Insider Transactions: Recent insider buying and selling activity.
• Insider Roster: Company insiders and their current holdings.
• Net Share Activity: Summary of insider purchase/sale activity.

ESG & Sustainability

• ESG Scores: Fetch detailed Environmental, Social, and Governance ratings.
• ESG Involvement: Specific ESG involvement and controversy data.

News & Information

• Company News: Retrieve the latest articles and press releases for a ticker.
• Company Profiles: Detailed information about companies, ETFs, and funds.
• Search: Find tickers by name or keyword.

Real-time Streaming (WebSocket/Polling)

• WebSocket Streaming: Get live quote updates using WebSockets (preferred method).
• HTTP Polling: Fallback polling method for real-time data.
• Configurable Streaming: Customize update frequency and change-only filtering.

Advanced Features

• Data Repair: Automatic detection and repair of price outliers.
• Data Rounding: Control price precision and rounding.
• Missing Data Handling: Configurable handling of NA/missing values.
• Back Adjustment: Alternative price adjustment methods.
• Historical Metadata: Timezone and other metadata for historical data.
• ISIN Lookup: Get International Securities Identification Numbers.
• Polars DataFrames: Convert results to Polars DataFrames via .to_dataframe() (enable the dataframe feature).

Developer Experience

• Async API: Built on tokio and reqwest for non-blocking I/O.
• High-Level Ticker Interface: A convenient, yfinance-like struct for accessing all data for a single symbol.
• Builder Pattern: Fluent builders for constructing complex queries.
• Configurable Retries: Automatic retries with exponential backoff for transient network errors.
• Caching: Configurable caching behavior for API responses.
• Custom Timeouts: Configurable request timeouts and connection settings.

Quick Start

To get started, add yfinance-rs to your Cargo.toml:

[dependencies]
yfinance-rs = "0.6.0"
tokio = { version = "1", features = ["full"] }

To enable DataFrame conversions backed by Polars, turn on the optional dataframe feature and (if you use Polars types in your code) add polars:

[dependencies]
yfinance-rs = { version = "0.6.0", features = ["dataframe"] }
polars = "0.51"

Then, create a YfClient and use a Ticker to fetch data.

use yfinance_rs::{Interval, Range, Ticker, YfClient};
use yfinance_rs::core::conversions::money_to_f64;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    // Get the latest quote
    let quote = ticker.quote().await?;
    println!(
        "Latest price for AAPL: ${:.2}",
        quote.price.as_ref().map(money_to_f64).unwrap_or(0.0)
    );

    // Get historical data for the last 6 months
    let history = ticker.history(Some(Range::M6), Some(Interval::D1), false).await?;
    if let Some(last_bar) = history.last() {
        println!(
            "Last closing price: ${:.2} on {}",
            money_to_f64(&last_bar.close),
            last_bar.ts
        );
    }

    // Get analyst recommendations
    let recs = ticker.recommendations().await?;
    if let Some(latest_rec) = recs.first() {
        println!("Latest recommendation period: {}", latest_rec.period);
    }

    // Dividends in the last year
    let dividends = ticker.dividends(Some(Range::Y1)).await?;
    println!("Found {} dividend payments in the last year", dividends.len());

    // Earnings trend
    let trends = ticker.earnings_trend(None).await?;
    if let Some(latest) = trends.first() {
        println!(
            "Latest earnings estimate: ${:.2}",
            latest
                .earnings_estimate
                .avg
                .as_ref()
                .map(money_to_f64)
                .unwrap_or(0.0)
        );
    }

    Ok(())
}

Troubleshooting

Possible network or consent issues

Some users have reported encountering errors on first use, such as:

• Rate limited at ...
• HTTP error: error sending request for url (https://fc.yahoo.com/consent)

These are typically environmental (network or regional) issues with Yahoo’s public API.
In some regions, Yahoo may require a one-time consent or session initialization.

Workaround:
Open https://fc.yahoo.com/consent in a web browser from the same network before running your code again.
This usually resolves the issue for that IP/network.

Tracing (optional)

This crate can emit structured tracing spans and key events when the optional tracing feature is enabled. When disabled (default), all instrumentation is compiled out with zero overhead. The library does not configure a subscriber; set one up in your application.

Spans are added at: Ticker public APIs (info, quote, history, etc.), HTTP send_with_retry, profile fallback, quote summary fetch (including invalid-crumb retry), and full history fetch. Key events include retry/backoff and fallback notifications.

Advanced Examples

Polars DataFrames (to_dataframe)

Enable the dataframe feature to convert paft models into a Polars DataFrame with .to_dataframe().

use yfinance_rs::{Interval, Range, Ticker, YfClient};
use paft::prelude::{ToDataFrame, ToDataFrameVec};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    // Quote → DataFrame
    let quote_df = ticker.quote().await?.to_dataframe()?;
    println!("Quote as DataFrame:\n{}", quote_df);

    // History (Vec<Candle>) → DataFrame
    let hist_df = ticker
        .history(Some(Range::M1), Some(Interval::D1), false)
        .await?
        .to_dataframe()?;
    println!("History rows: {}", hist_df.height());

    Ok(())
}

Works for quotes, historical candles, fundamentals, analyst data, holders, options, and more. All paft structs returned by this crate implement .to_dataframe() when the dataframe feature is enabled. See the full example: examples/14_polars_dataframes.rs.

Multi-Symbol Data Download

use yfinance_rs::{DownloadBuilder, Interval, Range, YfClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let symbols = vec!["AAPL", "GOOGL", "MSFT", "TSLA"];

    let results = DownloadBuilder::new(&client)
        .symbols(symbols)
        .range(Range::M6)
        .interval(Interval::D1)
        .auto_adjust(true)
        .actions(true)
        .repair(true)
        .rounding(true)
        .run()
        .await?;

    for entry in &results.entries {
        println!("{}: {} data points", entry.instrument.symbol(), entry.history.candles.len());
    }
    Ok(())
}

Real-time Streaming

use yfinance_rs::{StreamBuilder, StreamMethod, YfClient};
use std::time::Duration;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let (handle, mut receiver) = StreamBuilder::new(&client)
        .symbols(vec!["AAPL", "GOOGL"]) 
        .method(StreamMethod::WebsocketWithFallback)
        .interval(Duration::from_secs(1))
        .diff_only(true)
        .start()?;

    while let Some(update) = receiver.recv().await {
        println!("{}: ${:.2}", update.symbol, update.last_price.unwrap_or(0.0));
    }

    Ok(())
}

Financial Statements

use yfinance_rs::{Ticker, YfClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    let income_stmt = ticker.quarterly_income_stmt(None).await?;
    let balance_sheet = ticker.quarterly_balance_sheet(None).await?;
    let cashflow = ticker.quarterly_cashflow(None).await?;

    println!("Found {} quarterly income statements.", income_stmt.len());
    println!("Found {} quarterly balance sheet statements.", balance_sheet.len());
    println!("Found {} quarterly cashflow statements.", cashflow.len());

    let shares = ticker.quarterly_shares().await?;
    if let Some(latest) = shares.first() {
        println!("Latest shares outstanding: {}", latest.shares); 
    }
    Ok(())
}

💡 Need to force a specific reporting currency? Pass Some(paft::money::Currency::USD) (or another currency) instead of None when calling the fundamentals/analysis helpers.

Options Trading

use yfinance_rs::{Ticker, YfClient};
use yfinance_rs::core::conversions::money_to_f64;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    let expirations = ticker.options().await?;

    if let Some(nearest) = expirations.first() {
        let chain = ticker.option_chain(Some(*nearest)).await?;
    
        println!("Calls: {}", chain.calls.len());
        println!("Puts: {}", chain.puts.len());
    
        let fi = ticker.fast_info().await?;
        let current_price = fi
            .last
            .as_ref()
            .map(money_to_f64)
            .or_else(|| fi.previous_close.as_ref().map(money_to_f64))
            .unwrap_or(0.0);
        for call in &chain.calls {
            if (money_to_f64(&call.strike) - current_price).abs() < 5.0 {
                println!(
                    "ATM Call: Strike ${:.2}, Bid ${:.2}, Ask ${:.2}", 
                    money_to_f64(&call.strike),
                    call.bid.as_ref().map(money_to_f64).unwrap_or(0.0),
                    call.ask.as_ref().map(money_to_f64).unwrap_or(0.0)
                );
            }
        }
    }
    Ok(())
}

Advanced Analysis

use yfinance_rs::{Ticker, YfClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    let price_target = ticker.analyst_price_target(None).await?;
    let recs_summary = ticker.recommendations_summary().await?;
    let upgrades = ticker.upgrades_downgrades().await?;
    let earnings_trends = ticker.earnings_trend(None).await?;

    println!(
        "Price Target: ${:.2}",
        price_target.mean.as_ref().map(yfinance_rs::core::conversions::money_to_f64).unwrap_or(0.0)
    );
    println!(
        "Recommendation: {}",
        recs_summary
            .mean_rating_text
            .as_deref()
            .unwrap_or("N/A")
    );
    println!("Trend rows: {}", earnings_trends.len());
    println!("Upgrades: {}", upgrades.len());

    Ok(())
}

Holder Information

use yfinance_rs::{Ticker, YfClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    let major_holders = ticker.major_holders().await?;
    let institutional = ticker.institutional_holders().await?;
    let mutual_funds = ticker.mutual_fund_holders().await?;
    let insider_transactions = ticker.insider_transactions().await?;

    for holder in &major_holders {
        println!("{}: {}", holder.category, holder.value);
    }
    println!("Institutional rows: {}", institutional.len());
    println!("Mutual fund rows: {}", mutual_funds.len());
    println!("Insider transactions: {}", insider_transactions.len());
    Ok(())
}

ESG Scores & Involvement

use yfinance_rs::{Ticker, YfClient};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::default();
    let ticker = Ticker::new(&client, "AAPL");

    let summary = ticker.sustainability().await?;
    let parts = summary
        .scores
        .as_ref()
        .map(|s| [s.environmental, s.social, s.governance])
        .unwrap_or([None, None, None]);
    let vals = parts.into_iter().flatten().collect::<Vec<_>>();
    let total = if vals.is_empty() { 0.0 } else { vals.iter().copied().sum::<f64>() / (vals.len() as f64) };
    println!("Total ESG Score: {:.2}", total);
    if let Some(scores) = summary.scores.as_ref() {
        println!("Environmental Score: {:.2}", scores.environmental.unwrap_or(0.0));
        println!("Social Score: {:.2}", scores.social.unwrap_or(0.0));
        println!("Governance Score: {:.2}", scores.governance.unwrap_or(0.0));
    }
    Ok(())
}

Advanced Client Configuration

use yfinance_rs::{YfClientBuilder, Ticker, core::client::{Backoff, CacheMode, RetryConfig}};
use std::time::Duration;
use yfinance_rs::core::conversions::money_to_f64;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClientBuilder::default()
        .timeout(Duration::from_secs(10))
        .retry_config(RetryConfig {
            max_retries: 3,
            backoff: Backoff::Exponential {
                base: Duration::from_millis(100),
                factor: 2.0,
                max: Duration::from_secs(5),
                jitter: true,
            },
            ..Default::default()
        })
        .build()?;

    let ticker = Ticker::new(&client, "AAPL")
        .cache_mode(CacheMode::Bypass)
        .retry_policy(Some(RetryConfig {
            max_retries: 5,
            ..Default::default()
        }));
    
    let quote = ticker.quote().await?;
    println!(
        "Latest price for AAPL with custom client: ${:.2}",
        quote.price.as_ref().map(money_to_f64).unwrap_or(0.0)
    );

    Ok(())
}

Custom Reqwest Client

For full control over HTTP configuration, you can provide your own reqwest client:

use yfinance_rs::{YfClient, Ticker};
use yfinance_rs::core::conversions::money_to_f64;
use reqwest::Client;
use std::time::Duration;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let custom_client = Client::builder()
        .user_agent("yfinance-rs-playground") // Make sure to set a proper user agent
        .timeout(Duration::from_secs(30))
        .connect_timeout(Duration::from_secs(10))
        .pool_idle_timeout(Duration::from_secs(90))
        .pool_max_idle_per_host(10)
        .tcp_keepalive(Some(Duration::from_secs(60)))
        .build()?;

    let client = YfClient::builder()
        .custom_client(custom_client)
        .cache_ttl(Duration::from_secs(300))
        .build()?;

    let ticker = Ticker::new(&client, "AAPL");
    let quote = ticker.quote().await?;
    println!(
        "Latest price for AAPL: ${:.2}",
        quote.price.as_ref().map(money_to_f64).unwrap_or(0.0)
    );

    Ok(())
}

Proxy Configuration

You can configure HTTP/HTTPS proxies through the builder:

use yfinance_rs::{YfClient, YfClientBuilder, Ticker};
use yfinance_rs::core::conversions::money_to_f64;
use std::time::Duration;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = YfClient::builder()
        .try_proxy("http://proxy.example.com:8080")?
        .timeout(Duration::from_secs(30))
        .build()?;

    let client_https = YfClient::builder()
        .try_https_proxy("https://proxy.example.com:8443")?
        .timeout(Duration::from_secs(30))
        .build()?;

    let client_simple = YfClient::builder()
        .proxy("http://proxy.example.com:8080")
        .timeout(Duration::from_secs(30))
        .build()?;

    let ticker = Ticker::new(&client, "AAPL");
    let quote = ticker.quote().await?;
    println!(
        "Latest price for AAPL via proxy: ${:.2}",
        quote.price.as_ref().map(money_to_f64).unwrap_or(0.0)
    );

    Ok(())
}

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Please see our Contributing Guide and our Code of Conduct. We welcome pull requests and issues.

Changelog

See CHANGELOG.md for release notes and breaking changes.