Pivot Point — `pivotpoint`¶

Classic floor-trader pivot points calculated from the previous bar's high, low, and close. Provides a central pivot level plus two support and two resistance levels.

Inputs: [high, low, close] | Options: [period] | Outputs: [s3, s2, s1, pivot, r1, r2, r3]

Basic¶

RustCGoJavaPythonNode.jsWASM

use tulip_rs::indicators::pivotpoint::{PivotPoint, 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()];
// options: [period]
let (outputs, mut state) = PivotPoint::indicator(&inputs, &[5.0], None).unwrap();

println!("Pivot: {:?}", outputs[0]);
println!("R1:    {:?}", outputs[1]);
println!("S1:    {:?}", outputs[2]);
println!("R2:    {:?}", outputs[3]);
println!("S2:    {:?}", outputs[4]);

// 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) = PivotPoint::indicator(&[partial_high.as_slice(), partial_low.as_slice(), partial_close.as_slice()], &[5.0], None).unwrap();

println!("Pivot: {:?}", outputs2[0]);
println!("R1:    {:?}", outputs2[1]);
println!("S1:    {:?}", outputs2[2]);

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 Pivot: {:?}", 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};

double options[PIVOTPOINT_OPTIONS] = {5.0}; // period
const double *inputs[PIVOTPOINT_INPUTS] = {high, low, close};

/* Full computation - one output row with 7 values: s3,s2,s1,pp,r1,r2,r3 */
CIndicatorResult r = pivotpoint_indicator(inputs, 10, options, NULL, 0);
/* r.outputs[0][i] -> the i-th value in the single output row */
tulip_ffi_result_free(r);
pivotpoint_state_free(r.state);

/* Partial computation + state continuation */
CIndicatorResult p = pivotpoint_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[PIVOTPOINT_INPUTS] = {new_high, new_low, new_close};
CBatchResult b = pivotpoint_batch(p.state, new_inputs, 1, NULL, 0);
/* b.outputs[0][i] -> continued values for the one new bar */
tulip_ffi_batch_result_free(b);
tulip_ffi_result_free(p);
pivotpoint_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{5.0}

// Full computation — Rows are zero-copy views, valid until Close.
res, st, _ := indicators.Pivotpoint.Indicator(high, low, close, options, nil)
fmt.Println(res.Rows[0]) // s3,s2,s1,pp,r1,r2,r3 values
res.Close()
st.Close()

// Partial computation + state continuation.
res2, st2, _ := indicators.Pivotpoint.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 pivot values
batch.Close()
st2.Close()

import org.tuliprs.*;
import org.tuliprs.indicators.Pivotpoint;

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 = {5.0};

// Full computation — output rows are zero-copy views, valid until close().
Outcome oc = Pivotpoint.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))); // s3,s2,s1,pp,r1,r2,r3 values
    System.out.println(java.util.Arrays.toString(res.toDoubleArray(1)));
    System.out.println(java.util.Arrays.toString(res.toDoubleArray(2)));
    System.out.println(java.util.Arrays.toString(res.toDoubleArray(3)));
    System.out.println(java.util.Arrays.toString(res.toDoubleArray(4)));
}

// Partial computation + state continuation.
int n = 8;
Outcome p = Pivotpoint.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 pivot values
    }
}

import numpy as np
import tulip_rs

high  = np.array([82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00], dtype=np.float64)
low   = np.array([81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11], dtype=np.float64)
close = np.array([81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36], dtype=np.float64)

// options: [period]
outputs, state = tulip_rs.indicators.pivotpoint.indicator([high, low, close], [5.0])

print(f"Pivot: {outputs[0]}")
print(f"R1:    {outputs[1]}")
print(f"S1:    {outputs[2]}")
print(f"R2:    {outputs[3]}")
print(f"S2:    {outputs[4]}")

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.pivotpoint.indicator([high, low, close], [5.0]);
console.log('S3:', outputs[0], 'S2:', outputs[1], 'S1:', outputs[2], 'Pivot:', outputs[3], 'R1:', outputs[4]);

// State continuation
const n = high.length - 5;
const [, state2] = ti.pivotpoint.indicator([high.slice(0, n), low.slice(0, n), close.slice(0, n)], [5.0]);
const continued = state2.batchIndicator([high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued Pivot:', continued[3]);

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.pivotpoint.indicator([high, low, close], [5.0]);
console.log('S3:', outputs[0], 'S2:', outputs[1], 'S1:', outputs[2], 'Pivot:', outputs[3], 'R1:', outputs[4]);

// State continuation
const n = high.length - 5;
const [, state2] = ti.pivotpoint.indicator([high.slice(0, n), low.slice(0, n), close.slice(0, n)], [5.0]);
const continued = state2.batchIndicator([high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued Pivot:', continued[3]);