BOP — Balance of Power — bop¶
Measures the strength of buyers vs sellers: (Close - Open) / (High - Low).
Inputs: [open, high, low, close] | Options: none | Outputs: [bop]
Basic¶
use tulip_rs::indicators::bop::{Bop, TIndicatorState, Indicator};
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 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 = [open.as_slice(), high.as_slice(), low.as_slice(), close.as_slice()];
let (outputs, _) = Bop::indicator(&inputs, &[], None).unwrap();
println!("{:?}", outputs[0]);
// State continuation
let partial_open = open[..8].to_vec();
let partial_high = high[..8].to_vec();
let partial_low = low[..8].to_vec();
let partial_close = close[..8].to_vec();
let inputs2 = [partial_open.as_slice(), partial_high.as_slice(), partial_low.as_slice(), partial_close.as_slice()];
let (outputs2, mut state) = Bop::indicator(&inputs2, &[], None).unwrap();
println!("Partial BOP: {:?}", outputs2[0]);
let new_open = open[8..].to_vec();
let new_high = high[8..].to_vec();
let new_low = low[8..].to_vec();
let new_close = close[8..].to_vec();
let new_inputs = [new_open.as_slice(), new_high.as_slice(), new_low.as_slice(), new_close.as_slice()];
let continued = state.batch_indicator(&new_inputs, None).unwrap();
println!("Continued BOP: {:?}", continued[0]);
#include "tulip_rs_ffi.h"
double open[] = {81.85, 81.20, 81.55, 82.91, 83.10,
83.41, 82.71, 82.70, 84.20, 84.25};
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 *inputs[BOP_INPUTS] = {open, high, low, close};
/* Full computation (no options for bop) */
CIndicatorResult r = bop_indicator(inputs, 10, NULL, NULL, 0);
/* r.outputs[0] -> the BOP series, length r.output_lens[0] */
tulip_ffi_result_free(r);
bop_state_free(r.state);
/* Partial computation + state continuation */
const double *partial_inputs[BOP_INPUTS] = {open, high, low, close};
CIndicatorResult p = bop_indicator(partial_inputs, 8, NULL, NULL, 0);
double new_open[] = {84.20, 84.25};
double new_high[] = {84.84, 85.00};
double new_low[] = {84.15, 84.11};
double new_close[] = {84.55, 84.36};
const double *new_inputs[BOP_INPUTS] = {new_open, new_high, new_low, new_close};
CBatchResult b = bop_batch(p.state, new_inputs, 2, NULL, 0);
/* b.outputs[0] -> BOP values for just the two new bars */
tulip_ffi_batch_result_free(b);
tulip_ffi_result_free(p);
bop_state_free(p.state);
import "github.com/me60732/tulip_rs_go/indicators"
open := []float64{81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25}
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{} // no options for bop
// Full computation — Rows are zero-copy views, valid until Close.
res, st, _ := indicators.Bop.Indicator(open, high, low, close, options, nil)
fmt.Println(res.Rows[0]) // BOP values
res.Close()
st.Close()
// Partial computation + state continuation.
res2, st2, _ := indicators.Bop.Indicator(open[:8], high[:8], low[:8], close[:8], options, nil)
res2.Close() // outputs consumed or closed; state stays live
batch, _ := st2.Batch(open[8:], high[8:], low[8:], close[8:], nil)
fmt.Println(batch.Rows[0]) // continued BOP values
batch.Close()
st2.Close()
import org.tuliprs.*;
import org.tuliprs.indicators.Bop;
double[] open = {81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25};
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 = {};
// Full computation — output rows are zero-copy views, valid until close().
Outcome oc = Bop.indicator(new double[][] {open, high, low, close}, options);
try (Result res = oc.result(); State st = oc.state()) {
System.out.println(java.util.Arrays.toString(res.toDoubleArray(0))); // BOP values
}
// Partial computation + state continuation.
int n = 8;
Outcome p = Bop.indicator(new double[][] {
java.util.Arrays.copyOfRange(open, 0, n),
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(open, n, 10),
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 BOP
}
}
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 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.bop.indicator([open_, high, low, close], []);
console.log('BOP:', outputs[0]);
// State continuation
const n = high.length - 5;
const [, state2] = ti.bop.indicator([open_.slice(0, n), high.slice(0, n), low.slice(0, n), close.slice(0, n)], []);
const continued = state2.batchIndicator([open_.slice(n), high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued BOP:', 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 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.bop.indicator([open_, high, low, close], []);
console.log('BOP:', outputs[0]);
// State continuation
const n = high.length - 5;
const [, state2] = ti.bop.indicator([open_.slice(0, n), high.slice(0, n), low.slice(0, n), close.slice(0, n)], []);
const continued = state2.batchIndicator([open_.slice(n), high.slice(n), low.slice(n), close.slice(n)]);
console.log('Continued BOP:', continued[0]);
SIMD¶
By assets — same options, N assets in parallel:
use tulip_rs::indicators::bop::{Bop, Indicator};
let o1 = vec![81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25_f64];
let h1 = vec![82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00_f64];
let l1 = vec![81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11_f64];
let c1 = vec![81.59, 81.06, 82.87, 83.00, 83.61, 83.15, 82.84, 83.99, 84.55, 84.36_f64];
let o2 = o1.clone(); let h2 = h1.clone(); let l2 = l1.clone(); let c2 = c1.clone();
let o3 = o1.clone(); let h3 = h1.clone(); let l3 = l1.clone(); let c3 = c1.clone();
let o4 = o1.clone(); let h4 = h1.clone(); let l4 = l1.clone(); let c4 = c1.clone();
let inputs: [&[&[f64]; 4]; 4] = [
&[o1.as_slice(), h1.as_slice(), l1.as_slice(), c1.as_slice()],
&[o2.as_slice(), h2.as_slice(), l2.as_slice(), c2.as_slice()],
&[o3.as_slice(), h3.as_slice(), l3.as_slice(), c3.as_slice()],
&[o4.as_slice(), h4.as_slice(), l4.as_slice(), c4.as_slice()],
];
let results = Bop::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 (none), N assets in one call:
double o1[] = {81.85, 81.20, 81.55, 82.91, 83.10,
83.41, 82.71, 82.70, 84.20, 84.25};
double h1[] = {82.15, 81.89, 83.03, 83.30, 83.85,
83.90, 83.33, 84.30, 84.84, 85.00};
double l1[] = {81.29, 80.64, 81.31, 82.65, 83.07,
83.11, 82.49, 82.30, 84.15, 84.11};
double c1[] = {81.59, 81.06, 82.87, 83.00, 83.61,
83.15, 82.84, 83.99, 84.55, 84.36};
double o2[] = {82.85, 82.20, 82.55, 83.91, 84.10,
84.41, 83.71, 83.70, 85.20, 85.25};
double h2[] = {83.15, 82.89, 84.03, 84.30, 84.85,
84.90, 84.33, 84.30, 85.84, 86.00};
double l2[] = {82.29, 81.64, 82.31, 83.65, 84.07,
84.11, 83.49, 83.30, 85.15, 85.11};
double c2[] = {82.59, 82.06, 83.87, 84.00, 84.61,
84.15, 83.84, 84.99, 85.55, 85.36};
double o3[] = {83.85, 83.20, 83.55, 84.91, 85.10,
85.41, 84.71, 84.70, 86.20, 86.25};
double h3[] = {84.15, 83.89, 85.03, 85.30, 85.85,
85.90, 85.33, 85.30, 86.84, 87.00};
double l3[] = {83.29, 82.64, 83.31, 84.65, 85.07,
85.11, 84.49, 84.30, 86.15, 86.11};
double c3[] = {83.59, 83.06, 84.87, 85.00, 85.61,
85.15, 84.84, 85.99, 86.55, 86.36};
double o4[] = {84.85, 84.20, 84.55, 85.91, 86.10,
86.41, 85.71, 85.70, 87.20, 87.25};
double h4[] = {85.15, 84.89, 86.03, 86.30, 86.85,
86.90, 86.33, 86.30, 87.84, 88.00};
double l4[] = {84.29, 83.64, 84.31, 85.65, 86.07,
86.11, 85.49, 85.30, 87.15, 87.11};
double c4[] = {84.59, 84.06, 85.87, 86.00, 86.61,
86.15, 85.84, 86.99, 87.55, 87.36};
/* one [INPUTS]-long pointer array per asset */
const double *asset1[BOP_INPUTS] = {o1, h1, l1, c1};
const double *asset2[BOP_INPUTS] = {o2, h2, l2, c2};
const double *asset3[BOP_INPUTS] = {o3, h3, l3, c3};
const double *asset4[BOP_INPUTS] = {o4, h4, l4, c4};
const double *const *const simd_inputs[4] = {asset1, asset2, asset3, asset4};
/* bop has 0 options (BOP_OPTIONS = 0) */
CSimdResult r = bop_simd_by_assets(simd_inputs, 4, 10, NULL, NULL, 0);
for (uintptr_t i = 0; i < r.num_results; i++) {
/* r.outputs[i][0] -> asset i's BOP series, length r.output_lens[i][0] */
bop_state_free(r.states[i]);
}
tulip_ffi_simd_result_free(r);
This indicator has 0 options (BOP_OPTIONS = 0), so simd_by_options does not exist.
By assets — same options (none), N assets in parallel:
import "github.com/me60732/tulip_rs_go/indicators"
o1 := []float64{81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25}
h1 := []float64{82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00}
l1 := []float64{81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11}
c1 := []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
o2, h2, l2, c2 := o1, h1, l1, c1
o3, h3, l3, c3 := o1, h1, l1, c1
o4, h4, l4, c4 := o1, h1, l1, c1
assets := [][indicators.BopInputs][]float64{{o1, h1, l1, c1}, {o2, h2, l2, c2}, {o3, h3, l3, c3}, {o4, h4, l4, c4}}
sim, _ := indicators.Bop.SimdByAssets(assets, nil, 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
By assets — same options (none), N assets in parallel:
import org.tuliprs.*;
import org.tuliprs.indicators.Bop;
double[] o1 = {81.85, 81.20, 81.55, 82.91, 83.10, 83.41, 82.71, 82.70, 84.20, 84.25};
double[] h1 = {82.15, 81.89, 83.03, 83.30, 83.85, 83.90, 83.33, 84.30, 84.84, 85.00};
double[] l1 = {81.29, 80.64, 81.31, 82.65, 83.07, 83.11, 82.49, 82.30, 84.15, 84.11};
double[] c1 = {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[] o2 = o1; double[] h2 = h1; double[] l2 = l1; double[] c2 = c1;
double[] o3 = o1; double[] h3 = h1; double[] l3 = l1; double[] c3 = c1;
double[] o4 = o1; double[] h4 = h1; double[] l4 = l1; double[] c4 = c1;
// One entry per asset; each asset lists its INPUTS series.
double[][][] assets = {{o1, h1, l1, c1}, {o2, h2, l2, c2}, {o3, h3, l3, c3}, {o4, h4, l4, c4}};
try (SimdResult sim = Bop.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 = [[o1, h1, l1, c1], [o2, h2, l2, c2], [o3, h3, l3, c3], [o4, h4, l4, c4]]
outputs_list, states = tulip_rs.indicators.bop.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 = [
[[...open_], high.slice(), low.slice(), close.slice()],
[open_.map(v => v * 1.1), high.map(v => v * 1.1), low.map(v => v * 1.1), close.map(v => v * 1.1)],
[open_.map(v => v * 0.9), high.map(v => v * 0.9), low.map(v => v * 0.9), close.map(v => v * 0.9)],
[open_.map(v => v * 1.02), high.map(v => v * 1.02), low.map(v => v * 1.02), close.map(v => v * 1.02)],
];
const [results] = ti.bop.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.