Struct Spark 

#[non_exhaustive]
pub struct Spark {
    pub symbol: String,
    pub meta: ChartMeta,
    pub timestamps: Vec<i64>,
    pub closes: Vec<f64>,
    pub interval: Option<String>,
    pub range: Option<String>,
}

Sparkline data for a single symbol.

Contains lightweight chart data optimized for sparkline rendering, with only timestamps and close prices.

Note: This struct cannot be manually constructed - obtain via Tickers::spark().

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

symbol: String

Stock symbol

meta: ChartMeta

Metadata about the chart (currency, exchange, current price, etc.)

timestamps: Vec<i64>

Timestamps for each data point (Unix timestamps)

closes: Vec<f64>

Close prices for each data point

interval: Option<String>

Time interval (e.g., “5m”, “1d”)

range: Option<String>

Time range (e.g., “1d”, “1mo”)

Implementations

impl Spark

pub fn len(&self) -> usize

Number of data points

pub fn is_empty(&self) -> bool

Check if empty

pub fn price_change(&self) -> Option<f64>

Get the price change from first to last close

pub fn percent_change(&self) -> Option<f64>

Get the percentage change from first to last close

pub fn min_close(&self) -> Option<f64>

Get the minimum close price

pub fn max_close(&self) -> Option<f64>

Get the maximum close price

Trait Implementations

impl Clone for Spark

fn clone(&self) -> Spark

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Spark

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Spark

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Spark

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.