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QStick — qstick

A moving average of (Close - Open) over period bars, summarising buying or selling pressure.

Inputs: [open, close] | Options: [period] | Outputs: [qstick]

Basic

use tulip_rs::indicators::qstick::{QStick, Indicator, TIndicatorState};

let open_ = vec![81.85, 81.20, 81.55, 82.91, 83.10,
                 83.41, 82.71, 82.70, 84.20, 84.25_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 = [open_.as_slice(), close.as_slice()];
let (outputs, mut state) = QStick::indicator(&inputs, &[14.0], None).unwrap();
println!("{:?}", outputs[0]);

// State continuation — feed new bars without reprocessing history
let partial_open  = open_[..8].to_vec();
let partial_close = close[..8].to_vec();
let (outputs2, mut state) = QStick::indicator(&[partial_open.as_slice(), partial_close.as_slice()], &[14.0], None).unwrap();
println!("{:?}", outputs2[0]);

let new_open  = vec![84.03_f64];
let new_close = vec![85.53_f64];
let continued = state.batch_indicator(&[new_open.as_slice(), new_close.as_slice()], &[14.0], None).unwrap();
println!("{:?}", continued[0]);

import numpy as np
import tulip_rs

open_  = np.array([81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25], 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)

outputs, state = tulip_rs.indicators.qstick.indicator([open_, close], [14.0])
print(outputs[0])

import * as ti from 'tulip-rs-node';

const open_ = [81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25, 84.03, 85.45, 86.18, 88.00, 87.30];
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.qstick.indicator([open_, close], [14]);
console.log('QStick(14):', outputs[0]);

// State continuation
const n = close.length - 5;
const [, state2] = ti.qstick.indicator([open_.slice(0, n), close.slice(0, n)], [14]);
const continued = state2.batchIndicator([open_.slice(n), close.slice(n)]);
console.log('Continued QStick:', continued[0]);

import { init } from 'tulip-rs-wasm';
import * as ti from 'tulip-rs-wasm';

await init(); // bundler resolves the WASM asset automatically

const open_ = [81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25, 84.03, 85.45, 86.18, 88.00, 87.30];
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.qstick.indicator([open_, close], [14]);
console.log('QStick(14):', outputs[0]);

// State continuation
const n = close.length - 5;
const [, state2] = ti.qstick.indicator([open_.slice(0, n), close.slice(0, n)], [14]);
const continued = state2.batchIndicator([open_.slice(n), close.slice(n)]);
console.log('Continued QStick:', continued[0]);

SIMD

By assets — same options, N assets in parallel:

use tulip_rs::indicators::qstick::{QStick, Indicator};

let inputs: [&[&[f64]; 2]; 4] = [
    &[o1.as_slice(), c1.as_slice()],
    &[o2.as_slice(), c2.as_slice()],
    &[o3.as_slice(), c3.as_slice()],
    &[o4.as_slice(), c4.as_slice()],
];
let results = QStick::indicator_by_assets::<4>(&inputs, &[14.0], None).unwrap();
for (i, asset_outputs) in results.iter().enumerate() {
    println!("Asset {}: {:?}", i + 1, asset_outputs[0]);
}

By options — same asset, N option sets in parallel:

use tulip_rs::indicators::qstick::{QStick, IndicatorByOptions};

let inputs_single = [open_.as_slice(), close.as_slice()];
let opts: [&[f64; 1]; 4] = [&[5.0], &[10.0], &[14.0], &[20.0]];
let results = QStick::indicator_by_options::<4>(&inputs_single, &opts, None).unwrap();
for (i, asset_outputs) in results.iter().enumerate() {
    println!("Option {}: {:?}", i + 1, asset_outputs[0]);
}

By assets — same options, N assets in parallel (must be 2, 4, 8, or 16):

simd_inputs = [[o1, c1], [o2, c2], [o3, c3], [o4, c4]]
outputs_list, states = tulip_rs.indicators.qstick.simd_by_assets(simd_inputs, [14.0])

By options — same asset, N option sets in parallel:

simd_options = [[5.0], [10.0], [14.0], [20.0]]
outputs_list, states = tulip_rs.indicators.qstick.simd_by_options([open_, close], simd_options)

By assets — same period applied to 4 assets in parallel:

const simdInputs = [
    [[...open_], close.slice()],
    [open_.map(v => v * 1.1), close.map(v => v * 1.1)],
    [open_.map(v => v * 0.9), close.map(v => v * 0.9)],
    [open_.map(v => v * 1.02), close.map(v => v * 1.02)],
];
const [results] = ti.qstick.simdByAssets(simdInputs, [14]);
results.forEach((out, i) => console.log(`Asset ${i + 1}:`, out[0]));

By options — same asset, 4 different periods in parallel:

const simdOptions = [[5], [10], [14], [20]];
const [results] = ti.qstick.simdByOptions([open_, close], simdOptions);
results.forEach((out, i) => console.log(`Period ${simdOptions[i][0]}:`, out[0]));