feat(aura-std): signal-quality loop — Exposure node + sim-optimal broker
Realizes the C10 reframe (cycle 0007): the strategy DAG's output is an
intent/exposure stream, and a sim-optimal broker integrates it into a synthetic
pip-equity curve that measures SIGNAL QUALITY — the project's first trading
result, and its primary research loop.
Two new aura-std nodes (plain structs; the engine stays domain-free):
- Exposure { scale }: the decision/sizing node — clamp(signal/scale, -1, +1),
one f64 exposure per fired cycle, None until warmed up. Sizing/risk live in
`scale`.
- SimBroker { pip_size }: class (a) of C10 — consumes exposure (slot 0) + price
(slot 1), integrates the return earned by the exposure HELD INTO each cycle
(prev_exposure, decided at t-1) so it is causal / look-ahead-free (C2), and
emits cumulative pips. pip_size is held reference metadata (C7/C15), never
streamed.
End-to-end proof in the aura-engine harness test module (it dev-depends on
aura-std): a SMA(2)-SMA(4) cross -> Exposure -> SimBroker -> Recorder sink wires
a full signal-quality backtest; the recorded equity matches a hand-computed pip
curve ([0,0,0,0, 0.035]) and is bit-identical across two runs (C1). The engine
itself is unchanged — pure node authoring on the frozen substrate.
Verified: cargo test --workspace green (20 core + 30 engine + 9 std; 8 new);
clippy --all-targets -D warnings clean; engine/core surface-purity grep (no
dyn Any/Rc/RefCell) clean.
Note: the plan inlined `Window::first()`, which aura-core's Window does not
expose; the shipped code uses the semantically identical `Window::get(0)`
(newest value, or 0.0 when the exposure leg is cold).
closes #4
closes #5
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -337,7 +337,7 @@ mod tests {
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// only reads `nd.schema()` fields, never naming the types), so they are not
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// brought in by `use super::*` — the fixtures construct them, so import here.
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use aura_core::{FieldSpec, InputSpec, NodeSchema};
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use aura_std::{Sma, Sub};
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use aura_std::{Exposure, Sma, SimBroker, Sub};
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use std::sync::mpsc;
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/// Build an f64 source stream from (timestamp, value) points.
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@@ -1696,4 +1696,103 @@ mod tests {
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assert_eq!(rs2.try_iter().collect::<Vec<_>>(), sub_expected);
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assert_eq!(ri2.try_iter().collect::<Vec<_>>(), i64_expected);
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}
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#[test]
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fn signal_quality_loop_records_pip_equity() {
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let (tx_eq, rx_eq) = mpsc::channel();
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let mut h = Harness::bootstrap(
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vec![
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Box::new(Sma::new(2)), // 0 fast
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Box::new(Sma::new(4)), // 1 slow
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Box::new(Sub::new()), // 2 raw signal
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Box::new(Exposure::new(0.5)), // 3 exposure
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Box::new(SimBroker::new(0.0001)), // 4 pip equity
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Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx_eq)), // 5 sink
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],
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vec![SourceSpec {
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kind: ScalarKind::F64,
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targets: vec![
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Target { node: 0, slot: 0 }, // price -> SMA fast
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Target { node: 1, slot: 0 }, // price -> SMA slow
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Target { node: 4, slot: 1 }, // price -> broker price input
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],
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}],
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vec![
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Edge { from: 0, to: 2, slot: 0, from_field: 0 }, // fast -> Sub.0
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Edge { from: 1, to: 2, slot: 1, from_field: 0 }, // slow -> Sub.1
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Edge { from: 2, to: 3, slot: 0, from_field: 0 }, // signal -> Exposure
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Edge { from: 3, to: 4, slot: 0, from_field: 0 }, // exposure -> broker.0
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Edge { from: 4, to: 5, slot: 0, from_field: 0 }, // equity -> recorder
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],
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)
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.expect("valid signal-quality harness");
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h.run(vec![f64_stream(&[
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(1, 1.0000),
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(2, 1.0010),
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(3, 1.0025),
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(4, 1.0020),
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(5, 1.0040),
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])]);
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let equity: Vec<(Timestamp, Vec<Scalar>)> = rx_eq.try_iter().collect();
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// broker fires every cycle (price fresh each tick): five records, ts 1..=5
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assert_eq!(equity.len(), 5);
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assert_eq!(
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equity.iter().map(|(t, _)| t.0).collect::<Vec<_>>(),
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vec![1, 2, 3, 4, 5]
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);
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// flat until SMA(4) warms (cycle 4) and the held exposure meets the next
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// price move (cycle 5): the first four equities are exactly 0.
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for (_, row) in &equity[0..4] {
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assert_eq!(row, &vec![Scalar::F64(0.0)]);
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}
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// cycle 5: prev_exposure 0.00175 * (1.0040 - 1.0020) / 0.0001 = 0.035 pips
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let Scalar::F64(last) = equity[4].1[0] else {
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panic!("equity is f64");
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};
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assert!((last - 0.035).abs() < 1e-9, "final equity = {last}, want ~0.035");
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}
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#[test]
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fn signal_quality_loop_is_deterministic() {
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let build = || {
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let (tx, rx) = mpsc::channel();
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let mut h = Harness::bootstrap(
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vec![
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Box::new(Sma::new(2)),
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Box::new(Sma::new(4)),
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Box::new(Sub::new()),
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Box::new(Exposure::new(0.5)),
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Box::new(SimBroker::new(0.0001)),
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Box::new(Recorder::new(&[ScalarKind::F64], Firing::Any, tx)),
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],
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vec![SourceSpec {
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kind: ScalarKind::F64,
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targets: vec![
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Target { node: 0, slot: 0 },
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Target { node: 1, slot: 0 },
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Target { node: 4, slot: 1 },
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],
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}],
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vec![
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Edge { from: 0, to: 2, slot: 0, from_field: 0 },
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Edge { from: 1, to: 2, slot: 1, from_field: 0 },
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Edge { from: 2, to: 3, slot: 0, from_field: 0 },
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Edge { from: 3, to: 4, slot: 0, from_field: 0 },
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Edge { from: 4, to: 5, slot: 0, from_field: 0 },
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],
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)
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.expect("valid harness");
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h.run(vec![f64_stream(&[
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(1, 1.0000),
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(2, 1.0010),
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(3, 1.0025),
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(4, 1.0020),
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(5, 1.0040),
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])]);
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rx.try_iter().collect::<Vec<(Timestamp, Vec<Scalar>)>>()
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};
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assert_eq!(build(), build());
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}
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}
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@@ -0,0 +1,73 @@
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//! `Exposure` — shapes a raw signal score into a bounded exposure (intent).
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//! The decision/sizing node of C10's chain `signals -> decision/sizing node ->
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//! exposure stream`: one f64 input, one f64 output `clamp(signal / scale, -1, +1)`.
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//! `scale` sets which signal magnitude maps to full exposure (sizing lives here).
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use aura_core::{Ctx, FieldSpec, Firing, InputSpec, Node, NodeSchema, Scalar, ScalarKind};
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/// Bounded exposure from a raw signal score: `clamp(signal / scale, -1.0, +1.0)`.
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/// Emits `None` until its input is present (warm-up filter, C8).
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pub struct Exposure {
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scale: f64,
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out: [Scalar; 1],
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}
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impl Exposure {
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/// Build an exposure node with saturation magnitude `scale` (must be > 0).
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pub fn new(scale: f64) -> Self {
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assert!(scale > 0.0, "Exposure scale must be > 0");
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Self { scale, out: [Scalar::F64(0.0)] }
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}
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}
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impl Node for Exposure {
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fn schema(&self) -> NodeSchema {
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NodeSchema {
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inputs: vec![InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any }],
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output: vec![FieldSpec { name: "exposure", kind: ScalarKind::F64 }],
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}
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}
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fn eval(&mut self, ctx: Ctx<'_>) -> Option<&[Scalar]> {
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let w = ctx.f64_in(0);
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if w.is_empty() {
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return None; // not yet warmed up (C8 filter)
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}
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self.out[0] = Scalar::F64((w[0] / self.scale).clamp(-1.0, 1.0));
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Some(&self.out)
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use aura_core::{AnyColumn, Timestamp};
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#[test]
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fn exposure_clamps_to_unit_band() {
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let mut e = Exposure::new(0.5);
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let mut inputs = vec![AnyColumn::with_capacity(ScalarKind::F64, 1)];
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// (raw signal, expected clamped exposure) for scale 0.5
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let cases = [
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(0.1_f64, 0.2_f64), // within band
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(0.5, 1.0), // at the high edge
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(1.0, 1.0), // saturates high
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(-0.1, -0.2), // within band, negative
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(-1.0, -1.0), // saturates low
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];
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for (sig, want) in cases {
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inputs[0].push(Scalar::F64(sig)).unwrap();
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assert_eq!(
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e.eval(Ctx::new(&inputs, Timestamp(0))),
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Some([Scalar::F64(want)].as_slice())
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);
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}
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}
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#[test]
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fn exposure_is_none_until_input_present() {
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let mut e = Exposure::new(0.5);
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let inputs = vec![AnyColumn::with_capacity(ScalarKind::F64, 1)];
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assert_eq!(e.eval(Ctx::new(&inputs, Timestamp(0))), None);
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}
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}
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@@ -15,7 +15,11 @@
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//! The first block lands with the walking skeleton: [`Sma`], the simple moving
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//! average — a worked producer node proving the `aura-core` `Node` contract.
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mod exposure;
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mod sim_broker;
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mod sma;
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mod sub;
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pub use exposure::Exposure;
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pub use sim_broker::SimBroker;
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pub use sma::Sma;
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pub use sub::Sub;
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@@ -0,0 +1,125 @@
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//! `SimBroker` — the sim-optimal broker (class (a) of C10): deterministic,
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//! frictionless, perfect-fill. Consumes an exposure stream (slot 0) + a price
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//! stream (slot 1) and integrates the return earned by the exposure held INTO
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//! each cycle (decided at t-1) into a cumulative synthetic pip-equity output.
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//! Measures signal quality, not execution-modelled P&L.
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use aura_core::{Ctx, FieldSpec, Firing, InputSpec, Node, NodeSchema, Scalar, ScalarKind};
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/// Integrates `exposure * price-return` into cumulative pips. `pip_size` is
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/// per-instrument reference metadata (beside the hot path, C7/C15), held here,
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/// never streamed.
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pub struct SimBroker {
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pip_size: f64,
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prev_price: Option<f64>,
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prev_exposure: f64, // exposure held into this cycle (decided at t-1); 0.0 = flat
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cum: f64, // cumulative pips
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out: [Scalar; 1],
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}
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impl SimBroker {
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/// Build a sim-optimal broker for an instrument whose pip is `pip_size`
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/// (price units per pip; must be > 0).
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pub fn new(pip_size: f64) -> Self {
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assert!(pip_size > 0.0, "SimBroker pip_size must be > 0");
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Self {
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pip_size,
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prev_price: None,
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prev_exposure: 0.0,
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cum: 0.0,
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out: [Scalar::F64(0.0)],
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}
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}
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}
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impl Node for SimBroker {
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fn schema(&self) -> NodeSchema {
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NodeSchema {
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inputs: vec![
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InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any }, // 0 exposure
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InputSpec { kind: ScalarKind::F64, lookback: 1, firing: Firing::Any }, // 1 price
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],
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output: vec![FieldSpec { name: "equity", kind: ScalarKind::F64 }],
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}
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}
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fn eval(&mut self, ctx: Ctx<'_>) -> Option<&[Scalar]> {
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let price = ctx.f64_in(1);
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if price.is_empty() {
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return None; // no price yet — nothing to mark
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}
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let price = price[0];
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let expo = ctx.f64_in(0).get(0).unwrap_or(0.0); // flat until exposure warms up
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if let Some(pp) = self.prev_price {
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self.cum += self.prev_exposure * (price - pp) / self.pip_size;
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}
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self.prev_price = Some(price);
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self.prev_exposure = expo; // update AFTER taking PnL — no look-ahead (C2)
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self.out[0] = Scalar::F64(self.cum);
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Some(&self.out)
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use aura_core::{AnyColumn, Timestamp};
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fn two_f64_inputs() -> Vec<AnyColumn> {
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vec![
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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AnyColumn::with_capacity(ScalarKind::F64, 1),
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]
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}
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// Drive one broker cycle by hand: optionally push an exposure into slot 0
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// (None models a cycle where the exposure chain has not warmed up — slot 0
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// stays empty) and a price into slot 1, then eval and return the equity.
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fn step(b: &mut SimBroker, inputs: &mut [AnyColumn], expo: Option<f64>, price: f64) -> f64 {
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if let Some(e) = expo {
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inputs[0].push(Scalar::F64(e)).unwrap();
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}
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inputs[1].push(Scalar::F64(price)).unwrap();
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match b.eval(Ctx::new(inputs, Timestamp(0))) {
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Some([Scalar::F64(v)]) => *v,
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other => panic!("expected Some([F64]), got {other:?}"),
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}
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}
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#[test]
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fn sim_broker_integrates_lagged_exposure_times_return() {
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let mut b = SimBroker::new(1.0);
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let mut inputs = two_f64_inputs();
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assert_eq!(step(&mut b, &mut inputs, Some(0.5), 100.0), 0.0); // no prev price
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assert_eq!(step(&mut b, &mut inputs, Some(0.5), 110.0), 5.0); // 0.5*(110-100)
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assert_eq!(step(&mut b, &mut inputs, Some(-1.0), 108.0), 4.0); // +0.5*(108-110) = -1
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assert_eq!(step(&mut b, &mut inputs, Some(-1.0), 100.0), 12.0); // +(-1)*(100-108) = +8
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}
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#[test]
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fn sim_broker_no_lookahead() {
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let mut b = SimBroker::new(1.0);
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let mut inputs = two_f64_inputs();
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step(&mut b, &mut inputs, Some(1.0), 100.0);
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// exposure flips to 0.0 THIS cycle, but the PnL must use the 1.0 held
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// into it: 1.0*(110-100) = 10. Using the fresh 0.0 would give 0.
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assert_eq!(step(&mut b, &mut inputs, Some(0.0), 110.0), 10.0);
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}
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#[test]
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fn sim_broker_is_flat_during_warmup() {
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let mut b = SimBroker::new(1.0);
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let mut inputs = two_f64_inputs();
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// exposure never pushed (slot 0 empty) -> treated as flat; equity stays 0
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assert_eq!(step(&mut b, &mut inputs, None, 100.0), 0.0);
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assert_eq!(step(&mut b, &mut inputs, None, 110.0), 0.0);
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assert_eq!(step(&mut b, &mut inputs, None, 90.0), 0.0);
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}
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#[test]
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fn sim_broker_first_cycle_has_no_pnl() {
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let mut b = SimBroker::new(1.0);
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let mut inputs = two_f64_inputs();
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assert_eq!(step(&mut b, &mut inputs, Some(1.0), 100.0), 0.0); // no prev price to mark
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}
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}
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Reference in New Issue
Block a user