use std::collections::HashMap;
use crate::model::Bar;
use super::divergence::SlopeDivergence;
use super::smoothing::{crossed_over, crossed_under, Ema, ExtremeWindow, Rma};
use super::{Indicator, IndicatorAlert, IndicatorOutput};
#[derive(Debug, Clone)]
pub struct Rsi {
mid_line: f64,
oversold: f64,
overbought: f64,
require_extreme_zone: bool,
ctx_len: usize,
prev_close: Option<f64>,
avg_gain: Rma,
avg_loss: Rma,
rsi_avg: Ema,
signal_avg: Ema,
extreme_window: ExtremeWindow,
prev_rsi_line: Option<f64>,
prev_signal: Option<f64>,
bars_seen: usize,
warmup_period: usize,
ctx_avg_gain: Rma,
ctx_avg_loss: Rma,
ctx_avg: Ema,
divergence: SlopeDivergence,
alerts: RsiAlerts,
}
#[derive(Debug, Clone, Copy, PartialEq, Default)]
pub struct RsiAlerts {
pub bull_extreme: bool,
pub bear_extreme: bool,
pub bull_mid_cross: bool,
pub bear_mid_cross: bool,
pub bull_divergence: bool,
pub bear_divergence: bool,
pub extreme_strength: f64,
pub divergence_strength: f64,
}
impl Rsi {
#[allow(clippy::too_many_arguments)]
pub fn new(
rsi_len: usize,
avg_len: usize,
sig_len: usize,
mid_line: f64,
overbought: f64,
oversold: f64,
lookback_extreme: usize,
require_extreme_zone: bool,
ctx_len: usize,
div_len: usize,
div_min: f64,
) -> Self {
Self {
mid_line,
oversold,
overbought,
require_extreme_zone,
ctx_len,
prev_close: None,
avg_gain: Rma::new(rsi_len),
avg_loss: Rma::new(rsi_len),
rsi_avg: Ema::new(avg_len),
signal_avg: Ema::new(sig_len),
extreme_window: ExtremeWindow::new(lookback_extreme),
prev_rsi_line: None,
prev_signal: None,
bars_seen: 0,
warmup_period: rsi_len + 1,
ctx_avg_gain: Rma::new(ctx_len),
ctx_avg_loss: Rma::new(ctx_len),
ctx_avg: Ema::new(avg_len),
divergence: SlopeDivergence::new(div_len, div_min),
alerts: RsiAlerts::default(),
}
}
pub fn with_defaults() -> Self {
Self::new(14, 3, 3, 50.0, 70.0, 30.0, 5, true, 100, 4, 10.0)
}
pub fn with_period(rsi_len: usize) -> Self {
Self::new(rsi_len, 3, 3, 50.0, 70.0, 30.0, 5, true, 100, 4, 10.0)
}
}
impl Indicator for Rsi {
fn name(&self) -> &str {
"rsi"
}
fn warmup_period(&self) -> usize {
self.warmup_period.max(self.ctx_len + 1)
}
fn on_bar(&mut self, bar: &Bar) -> Option<IndicatorOutput> {
self.alerts = RsiAlerts::default();
self.bars_seen += 1;
let close = bar.close;
let prev_close = match self.prev_close {
None => {
self.prev_close = Some(close);
return None;
}
Some(p) => p,
};
self.prev_close = Some(close);
let change = close - prev_close;
let gain = change.max(0.0);
let loss = (-change).max(0.0);
let ctx_line = match (
self.ctx_avg_gain.update(gain),
self.ctx_avg_loss.update(loss),
) {
(Some(ctx_avg_gain), Some(ctx_avg_loss)) => {
let ctx_raw = if ctx_avg_gain == 0.0 && ctx_avg_loss == 0.0 {
50.0
} else if ctx_avg_loss == 0.0 {
100.0
} else if ctx_avg_gain == 0.0 {
0.0
} else {
100.0 - 100.0 / (1.0 + ctx_avg_gain / ctx_avg_loss)
};
Some(self.ctx_avg.update(ctx_raw))
}
_ => None,
};
let (avg_gain, avg_loss) = match (self.avg_gain.update(gain), self.avg_loss.update(loss)) {
(Some(g), Some(l)) => (g, l),
_ => return None,
};
let raw_rsi = if avg_gain == 0.0 && avg_loss == 0.0 {
50.0
} else if avg_loss == 0.0 {
100.0
} else if avg_gain == 0.0 {
0.0
} else {
(100.0 - 100.0 / (1.0 + avg_gain / avg_loss)).clamp(0.0, 100.0)
};
let rsi_line = self.rsi_avg.update(raw_rsi).clamp(0.0, 100.0);
let signal = self.signal_avg.update(rsi_line).clamp(0.0, 100.0);
let extreme = self.extreme_window.push(rsi_line);
let was_oversold = extreme
.map(|(low, _)| low <= self.oversold)
.unwrap_or(false);
let was_overbought = extreme
.map(|(_, high)| high >= self.overbought)
.unwrap_or(false);
if let (Some(prev_rsi), Some(prev_sig)) = (self.prev_rsi_line, self.prev_signal) {
let bull_cross = crossed_over(prev_rsi, prev_sig, rsi_line, signal);
let bear_cross = crossed_under(prev_rsi, prev_sig, rsi_line, signal);
self.alerts.bull_extreme = bull_cross && (!self.require_extreme_zone || was_oversold);
self.alerts.bear_extreme = bear_cross && (!self.require_extreme_zone || was_overbought);
self.alerts.bull_mid_cross =
crossed_over(prev_rsi, self.mid_line, rsi_line, self.mid_line);
self.alerts.bear_mid_cross =
crossed_under(prev_rsi, self.mid_line, rsi_line, self.mid_line);
self.alerts.extreme_strength = if self.alerts.bull_extreme {
extreme
.map(|(low, _)| ((self.oversold - low) / self.oversold.abs()).clamp(0.0, 1.0))
.unwrap_or(0.0)
} else if self.alerts.bear_extreme {
extreme
.map(|(_, high)| {
((high - self.overbought) / self.overbought.abs()).clamp(0.0, 1.0)
})
.unwrap_or(0.0)
} else {
0.0
};
}
self.prev_rsi_line = Some(rsi_line);
self.prev_signal = Some(signal);
let mut extra = HashMap::new();
extra.insert("signal".to_string(), signal);
if let Some(ctx_line) = ctx_line {
let div = self.divergence.update(rsi_line, ctx_line);
self.alerts.bull_divergence = div.bull;
self.alerts.bear_divergence = div.bear;
self.alerts.divergence_strength = if div.bull || div.bear {
((div.fast_dir.abs() - self.divergence.div_min()) / self.divergence.div_min())
.clamp(0.0, 1.0)
} else {
0.0
};
extra.insert("ctx".to_string(), ctx_line);
}
Some(IndicatorOutput::with_extra(rsi_line, extra))
}
fn reset(&mut self) {
self.prev_close = None;
self.avg_gain.reset();
self.avg_loss.reset();
self.rsi_avg.reset();
self.signal_avg.reset();
self.extreme_window.reset();
self.prev_rsi_line = None;
self.prev_signal = None;
self.bars_seen = 0;
self.ctx_avg_gain.reset();
self.ctx_avg_loss.reset();
self.ctx_avg.reset();
self.divergence.reset();
self.alerts = RsiAlerts::default();
}
fn alerts(&self) -> Vec<IndicatorAlert> {
let a = self.alerts;
let mut out = Vec::new();
if a.bull_extreme {
out.push(IndicatorAlert {
kind: "bull_extreme".to_string(),
note: "RSI · BULL CROSS OVERSOLD".to_string(),
strength: a.extreme_strength,
});
}
if a.bear_extreme {
out.push(IndicatorAlert {
kind: "bear_extreme".to_string(),
note: "RSI · BEAR CROSS OVERBOUGHT".to_string(),
strength: a.extreme_strength,
});
}
if a.bull_mid_cross {
out.push(IndicatorAlert {
kind: "bull_mid_cross".to_string(),
note: "RSI · CROSS ABOVE 50".to_string(),
strength: 1.0,
});
}
if a.bear_mid_cross {
out.push(IndicatorAlert {
kind: "bear_mid_cross".to_string(),
note: "RSI · CROSS BELOW 50".to_string(),
strength: 1.0,
});
}
if a.bull_divergence {
out.push(IndicatorAlert {
kind: "bull_divergence".to_string(),
note: "RSI · BULL DIVERGENCE".to_string(),
strength: a.divergence_strength,
});
}
if a.bear_divergence {
out.push(IndicatorAlert {
kind: "bear_divergence".to_string(),
note: "RSI · BEAR DIVERGENCE".to_string(),
strength: a.divergence_strength,
});
}
out
}
}