Typical Price — typprice¶
(High + Low + Close) / 3 for each bar. Commonly used as the price input for indicators like CCI.
Inputs: [high, low, close] | Options: none | Outputs: [typprice]
Basic¶
use tulip_rs::indicators::typprice::{Typprice, Indicator, TIndicatorState};
let high = vec![82.15, 81.89, 83.03, 83.30, 83.85,
83.90, 83.33, 84.30, 84.84, 85.00_f64];
let low = vec![81.29, 80.64, 81.31, 82.65, 83.07,
83.11, 82.49, 82.30, 84.15, 84.11_f64];
let close = vec![81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36_f64];
let inputs = [high.as_slice(), low.as_slice(), close.as_slice()];
let (outputs, mut state) = Typprice::indicator(&inputs, &[], None).unwrap();
println!("{:?}", outputs[0]);
// State continuation — feed new bars without reprocessing history
let partial_high = high[..8].to_vec();
let partial_low = low[..8].to_vec();
let partial_close = close[..8].to_vec();
let (outputs2, mut state) = Typprice::indicator(&[partial_high.as_slice(), partial_low.as_slice(), partial_close.as_slice()], &[], None).unwrap();
println!("{:?}", outputs2[0]);
let new_high = vec![85.90_f64];
let new_low = vec![84.03_f64];
let new_close = vec![85.53_f64];
let continued = state.batch_indicator(&[new_high.as_slice(), new_low.as_slice(), new_close.as_slice()], None).unwrap();
println!("{:?}", continued[0]);
#include "tulip_rs_ffi.h"
double high[] = {82.15, 81.89, 83.03, 83.30, 83.85,
83.90, 83.33, 84.30, 84.84, 85.00};
double low[] = {81.29, 80.64, 81.31, 82.65, 83.07,
83.11, 82.49, 82.30, 84.15, 84.11};
double close[] = {81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36};
const double *options = NULL; // TYPPRICE has no options
const double *inputs[TYPPRICE_INPUTS] = {high, low, close};
/* Full computation */
CIndicatorResult r = typprice_indicator(inputs, 10, options, NULL, 0);
/* r.outputs[0] -> Typical Price series, length r.output_lens[0] */
tulip_ffi_result_free(r);
typprice_state_free(r.state);
/* Partial computation + state continuation */
CIndicatorResult p = typprice_indicator(inputs, 8, options, NULL, 0);
double new_high[] = {85.90};
double new_low[] = {84.03};
double new_close[] = {85.53};
const double *new_inputs[TYPPRICE_INPUTS] = {new_high, new_low, new_close};
CBatchResult b = typprice_batch(p.state, new_inputs, 1, NULL, 0);
/* b.outputs[0] -> Typical Price for the new bar */
tulip_ffi_batch_result_free(b);
tulip_ffi_result_free(p);
typprice_state_free(p.state);
import "github.com/me60732/tulip_rs_go/indicators"
high := []float64{82.15, 81.89, 83.03, 83.30, 83.85,
83.90, 83.33, 84.30, 84.84, 85.00}
low := []float64{81.29, 80.64, 81.31, 82.65, 83.07,
83.11, 82.49, 82.30, 84.15, 84.11}
close := []float64{81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36}
options := []float64{} // TYPPRICE has no options
// Full computation — Rows are zero-copy views, valid until Close.
res, st, _ := indicators.Typprice.Indicator(high, low, close, options, nil)
fmt.Println(res.Rows[0]) // Typical Price values
res.Close()
st.Close()
// Partial computation + state continuation.
res2, st2, _ := indicators.Typprice.Indicator(high[:8], low[:8], close[:8], options, nil)
res2.Close() // outputs consumed or closed; state stays live
batch, _ := st2.Batch(high[8:], low[8:], close[8:], nil)
fmt.Println(batch.Rows[0]) // continued Typical Price values
batch.Close()
st2.Close()
import org.tuliprs.*;
import org.tuliprs.indicators.Typprice;
double[] high = {82.15, 81.89, 83.03, 83.30, 83.85,
83.90, 83.33, 84.30, 84.84, 85.00};
double[] low = {81.29, 80.64, 81.31, 82.65, 83.07,
83.11, 82.49, 82.30, 84.15, 84.11};
double[] close = {81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36};
double[] options = {}; // TYPPRICE has no options
// Full computation — output rows are zero-copy views, valid until close().
Outcome oc = Typprice.indicator(new double[][] {high, low, close}, options);
try (Result res = oc.result(); State st = oc.state()) {
System.out.println(java.util.Arrays.toString(res.toDoubleArray(0))); // Typical Price values
}
// Partial computation + state continuation.
int n = 8;
Outcome p = Typprice.indicator(new double[][] {
java.util.Arrays.copyOfRange(high, 0, n),
java.util.Arrays.copyOfRange(low, 0, n),
java.util.Arrays.copyOfRange(close, 0, n)}, options);
try (Result pr = p.result(); State st = p.state()) {
Result br = st.batch(new double[][] {
java.util.Arrays.copyOfRange(high, n, 10),
java.util.Arrays.copyOfRange(low, n, 10),
java.util.Arrays.copyOfRange(close, n, 10)});
try (br) {
System.out.println(java.util.Arrays.toString(br.toDoubleArray(0))); // continued Typical Price values
}
}
import * as ti from 'tulip-rs-node';
const high = Float64Array.from([82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00, 85.90, 86.58, 86.98, 88.00, 87.87]);
const low = Float64Array.from([81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11, 84.03, 85.39, 85.76, 87.17, 87.01]);
const close = Float64Array.from([81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36, 85.53, 86.54, 86.89, 87.77, 87.29]);
const [outputs, state] = ti.typprice.indicator([high, low, close], []);
console.log('TypPrice:', outputs[0]);
// State continuation
const n = high.length - 5;
const [, state2] = ti.typprice.indicator([high.slice(0, n), low.slice(0, n), close.slice(0, n)], []);
const continued = state2.batchIndicator([high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued TypPrice:', continued[0]);
import { init } from 'tulip-rs-wasm';
import * as ti from 'tulip-rs-wasm';
await init(); // bundler resolves the WASM asset automatically
const high = [82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00, 85.90, 86.58, 86.98, 88.00, 87.87];
const low = [81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11, 84.03, 85.39, 85.76, 87.17, 87.01];
const close = [81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36, 85.53, 86.54, 86.89, 87.77, 87.29];
const [outputs, state] = ti.typprice.indicator([high, low, close], []);
console.log('TypPrice:', outputs[0]);
// State continuation
const n = high.length - 5;
const [, state2] = ti.typprice.indicator([high.slice(0, n), low.slice(0, n), close.slice(0, n)], []);
const continued = state2.batchIndicator([high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued TypPrice:', continued[0]);
SIMD¶
By assets — same options, N assets in parallel:
use tulip_rs::indicators::typprice::{Typprice, Indicator};
let inputs: [&[&[f64]; 3]; 4] = [
&[h1.as_slice(), l1.as_slice(), c1.as_slice()],
&[h2.as_slice(), l2.as_slice(), c2.as_slice()],
&[h3.as_slice(), l3.as_slice(), c3.as_slice()],
&[h4.as_slice(), l4.as_slice(), c4.as_slice()],
];
let results = Typprice::indicator_by_assets::<4>(&inputs, &[], None).unwrap();
for (i, asset_outputs) in results.iter().enumerate() {
println!("Asset {}: {:?}", i + 1, asset_outputs[0]);
}
This indicator has no options, so by-options SIMD does not apply.
By assets — same options applied to 4 assets in one call (N must be 2/4/8/16):
double a1_high[] = {82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00};
double a1_low[] = {81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11};
double a1_close[] = {81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36};
double a2_high[] = {85.00, 85.50, 86.00, 86.50, 87.00, 87.50, 88.00, 88.50, 89.00, 89.50};
double a2_low[] = {83.00, 83.50, 84.00, 84.50, 85.00, 85.50, 86.00, 86.50, 87.00, 87.50};
double a2_close[] = {84.00, 84.50, 85.00, 85.50, 86.00, 86.50, 87.00, 87.50, 88.00, 88.50};
double a3_high[] = {90.00, 91.00, 92.00, 93.00, 94.00, 95.00, 96.00, 97.00, 98.00, 99.00};
double a3_low[] = {88.00, 89.00, 90.00, 91.00, 92.00, 93.00, 94.00, 95.00, 96.00, 97.00};
double a3_close[] = {89.00, 90.00, 91.00, 92.00, 93.00, 94.00, 95.00, 96.00, 97.00, 98.00};
double a4_high[] = {100.00, 99.00, 98.00, 97.00, 96.00, 95.00, 94.00, 93.00, 92.00, 91.00};
double a4_low[] = {98.00, 97.00, 96.00, 95.00, 94.00, 93.00, 92.00, 91.00, 90.00, 89.00};
double a4_close[] = {99.00, 98.00, 97.00, 96.00, 95.00, 94.00, 93.00, 92.00, 91.00, 90.00};
const double *asset1[TYPPRICE_INPUTS] = {a1_high, a1_low, a1_close};
const double *asset2[TYPPRICE_INPUTS] = {a2_high, a2_low, a2_close};
const double *asset3[TYPPRICE_INPUTS] = {a3_high, a3_low, a3_close};
const double *asset4[TYPPRICE_INPUTS] = {a4_high, a4_low, a4_close};
const double *const *const simd_inputs[4] = {asset1, asset2, asset3, asset4};
const double *options = NULL; // TYPPRICE has no options
CSimdResult r = typprice_simd_by_assets(simd_inputs, 4, 10, options, NULL, 0);
for (uintptr_t i = 0; i < r.num_results; i++) {
/* r.outputs[i][0] -> asset i's Typical Price series */
typprice_state_free(r.states[i]);
}
tulip_ffi_simd_result_free(r);
By assets — same options applied to 4 assets in parallel (lane counts 2/4/8/16):
import "github.com/me60732/tulip_rs_go/indicators"
a1_high := []float64{82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00}
a1_low := []float64{81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11}
a1_close := []float64{81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36}
// Reuse the same data for assets 2–4 in this example
a2_high, a2_low, a2_close := a1_high, a1_low, a1_close
a3_high, a3_low, a3_close := a1_high, a1_low, a1_close
a4_high, a4_low, a4_close := a1_high, a1_low, a1_close
assets := [][indicators.TyppriceInputs][]float64{{a1_high, a1_low, a1_close}, {a2_high, a2_low, a2_close}, {a3_high, a3_low, a3_close}, {a4_high, a4_low, a4_close}}
sim, _ := indicators.Typprice.SimdByAssets(assets, []float64{}, nil)
for i, lanes := range sim.Results {
fmt.Printf("Asset %d: %v\n", i+1, lanes[0])
}
sim.Close() // frees every lane state, then the SIMD buffers
This indicator has no options, so SIMD by-options does not apply.
By assets — same options applied to 4 assets in parallel (N must be 2, 4, 8, or 16):
import org.tuliprs.*;
import org.tuliprs.indicators.Typprice;
double[] a1_high = {82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00};
double[] a1_low = {81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11};
double[] a1_close = {81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36};
// Reuse the same data for assets 2–4 in this example
double[] a2_high = a1_high;
double[] a2_low = a1_low;
double[] a2_close = a1_close;
double[] a3_high = a1_high;
double[] a3_low = a1_low;
double[] a3_close = a1_close;
double[] a4_high = a1_high;
double[] a4_low = a1_low;
double[] a4_close = a1_close;
// One entry per asset; each asset lists its INPUTS series.
double[][][] assets = {{a1_high, a1_low, a1_close}, {a2_high, a2_low, a2_close}, {a3_high, a3_low, a3_close}, {a4_high, a4_low, a4_close}};
try (SimdResult sim = Typprice.simdByAssets(assets, new double[] {}, null)) {
for (int i = 0; i < sim.numResults(); i++) {
System.out.printf("Asset %d: %s%n", i + 1,
java.util.Arrays.toString(sim.toDoubleArray(i, 0)));}
} // frees every lane state, then the SIMD buffers (contractual order)
This indicator has no options, so by-options SIMD does not apply.
By assets — same options, N assets in parallel (must be 2, 4, 8, or 16):
simd_inputs = [[h1, l1, c1], [h2, l2, c2], [h3, l3, c3], [h4, l4, c4]]
outputs_list, states = tulip_rs.indicators.typprice.simd_by_assets(simd_inputs, [])
This indicator has no options, so by-options SIMD does not apply.
By assets — applied to 4 assets in parallel:
const simdInputs = [
[high.slice(), low.slice(), close.slice()],
[high.map(v => v * 1.1), low.map(v => v * 1.1), close.map(v => v * 1.1)],
[high.map(v => v * 0.9), low.map(v => v * 0.9), close.map(v => v * 0.9)],
[high.map(v => v * 1.02), low.map(v => v * 1.02), close.map(v => v * 1.02)],
];
const [results] = ti.typprice.simdByAssets(simdInputs, []);
results.forEach((out, i) => console.log(`Asset ${i + 1}:`, out[0]));
This indicator has no options, so by-options SIMD does not apply.