#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};
use crate::core::{Error, Method, MovingAverageConstructor, PeriodType, Source, ValueType, OHLCV};
use crate::core::{IndicatorConfig, IndicatorInstance, IndicatorResult};
use crate::helpers::MA;
use crate::methods::{Cross, Highest, Lowest};
#[derive(Debug, Clone, Copy)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub struct FisherTransform<M: MovingAverageConstructor = MA> {
pub period1: PeriodType,
pub zone: ValueType,
pub signal: M,
pub source: Source,
}
impl<M: MovingAverageConstructor> IndicatorConfig for FisherTransform<M> {
type Instance = FisherTransformInstance<M>;
const NAME: &'static str = "FisherTransform";
fn init<T: OHLCV>(self, candle: &T) -> Result<Self::Instance, Error> {
if !self.validate() {
return Err(Error::WrongConfig);
}
let cfg = self;
let src = &candle.source(cfg.source);
Ok(Self::Instance {
ma1: cfg.signal.init(0.)?, highest: Highest::new(cfg.period1, src)?,
lowest: Lowest::new(cfg.period1, src)?,
cross: Cross::default(),
cross_ma: Cross::default(),
prev_value: 0.,
last_reverse: 0,
cfg,
})
}
fn validate(&self) -> bool {
self.period1 > 1 && self.signal.ma_period() > 1 && self.zone > 0.
}
fn set(&mut self, name: &str, value: String) -> Result<(), Error> {
match name {
"period1" => match value.parse() {
Err(_) => return Err(Error::ParameterParse(name.to_string(), value.to_string())),
Ok(value) => self.period1 = value,
},
"signal" => match value.parse() {
Err(_) => return Err(Error::ParameterParse(name.to_string(), value.to_string())),
Ok(value) => self.signal = value,
},
"zone" => match value.parse() {
Err(_) => return Err(Error::ParameterParse(name.to_string(), value.to_string())),
Ok(value) => self.zone = value,
},
"source" => match value.parse() {
Err(_) => return Err(Error::ParameterParse(name.to_string(), value.to_string())),
Ok(value) => self.source = value,
},
_ => {
return Err(Error::ParameterParse(name.to_string(), value));
}
};
Ok(())
}
fn size(&self) -> (u8, u8) {
(2, 2)
}
}
impl Default for FisherTransform<MA> {
fn default() -> Self {
Self {
period1: 9,
signal: MA::SMA(2),
zone: 1.5,
source: Source::TP,
}
}
}
#[derive(Debug, Clone)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub struct FisherTransformInstance<M: MovingAverageConstructor = MA> {
cfg: FisherTransform<M>,
ma1: M::Instance,
highest: Highest,
lowest: Lowest,
cross: Cross,
cross_ma: Cross,
prev_value: ValueType,
last_reverse: i8,
}
const BOUND: ValueType = 0.999;
#[inline]
fn bound_value(value: ValueType) -> ValueType {
value.clamp(-BOUND, BOUND)
}
impl<M: MovingAverageConstructor> IndicatorInstance for FisherTransformInstance<M> {
type Config = FisherTransform<M>;
fn config(&self) -> &Self::Config {
&self.cfg
}
fn next<T: OHLCV>(&mut self, candle: &T) -> IndicatorResult {
let src = &candle.source(self.cfg.source);
let highest = self.highest.next(src);
let lowest = self.lowest.next(src);
let fisher_transform = if highest.to_bits() == lowest.to_bits() {
0.
} else {
let x = bound_value(((src - lowest) / (highest - lowest)).mul_add(2., -1.));
x.atanh()
};
let cumulative = self.prev_value.mul_add(0.5, fisher_transform);
let reverse = self.cross.next(&(cumulative, self.prev_value)).analog();
let s1 = cumulative / self.cfg.zone
* ((cumulative < 0.0 && reverse > 0) || (cumulative > 0.0 && reverse < 0)) as i8
as ValueType;
let signal_line = self.ma1.next(&cumulative);
let crossed_ma = self.cross_ma.next(&(cumulative, signal_line)).analog();
let is_reversed = (reverse != 0) as i8;
self.last_reverse = (1 - is_reversed) * self.last_reverse + is_reversed * reverse;
let s2 = signal_line / self.cfg.zone
* ((signal_line < 0.0 && self.last_reverse > 0 && crossed_ma > 0)
|| (signal_line > 0.0 && self.last_reverse < 0 && crossed_ma < 0)) as i8 as ValueType;
self.prev_value = cumulative;
IndicatorResult::new(&[cumulative, signal_line], &[s1.into(), s2.into()])
}
}