just create this script its not perfect, but will get you on your way.
const predef = require("./tools/predef");
const SMA = require("./tools/SMA");
const { px, du, op, min } = require("./tools/graphics");
function find_order_block(xs, t, ob_period) {
let order_blocks = [];
for (let i = 0; i < xs.length - 1; ++i) {}
return order_blocks;
}
function find_local_extrema(xs, t) {
let extrema = [];
// iterate through all points and compare direct neighbors
for (let i = 1; i < xs.length - 1; ++i) {
if (t == undefined || t == "p") {
// peaks
if (xs[i] > xs[i - 1] && xs[i] > xs[i + 1]) {
extrema.push(i);
}
} else {
// throughs
if (xs[i] < xs[i - 1] && xs[i] < xs[i + 1]) {
extrema.push(i);
}
}
}
return extrema;
}
function mapZ(d){
return {
index: d.index(),
open : d.open(),
close : d.close(),
high : d.high(),
low : d.low()
};
}
function resample(xs, t) {
let data = [];
// iterate through all points and compare direct neighbors
let z=0;
d = mapZ(xs[0]);
for (let i = 1; i < xs.length; i++) {
let v = mapZ(xs[i]);
if (i > 0 && i % t == 0){
data.push(d);
d = v;
continue;
}
d.close = v.close;
if(v.high > d.high) {
d.high=v.high;
}
if(v.low < d.low) {
d.low=v.low;
}
}
return data;
}
class order_block {
init() {
this.candle_count = 5; // this.props.period; // Relevant Periods to identify OB
this.threshold = 0.0; // Min. Percent move to identify OB", step = 0.1)
this.usewicks = false;
this.showbull = true;
this.showbear = true;
this.ob_period = this.periods + 1;
this.sma = SMA(this.props.period);
}
map(d, i, history) {
let items = [];
const data = history.data;
if (i > (this.candle_count + 1)) {
const most_left_candle = i - (this.candle_count + 1);
const bullishOB =
data[most_left_candle].close() < data[most_left_candle].open();
if (bullishOB) {
const z = most_left_candle;
let upcandles = 0;
let high = 0;
let low = 0;
let avg = 0;
for (let j = most_left_candle; j < i; ++j) {
if (data[j].close() > data[j].open()) {
upcandles++;
}
}
if (upcandles >= this.candle_count) {
high = data[z].open();
low = data[z].low();
high = data[z].open() > high ? data[z].open() : high;
low = data[z].low() < low ? data[z].low() : low;
avg = (low + high) / 2.0;
items.push({
tag: "Shapes",
key: "rects",
primitives: [
{
tag: "Rectangle",
position: {
x: du(d.index()),
y: du(low),
},
size: {
height: du(high - low),
width: du(data.length),
},
},
],
fillStyle: {
color: "green",
opacity: 30,
},
});
}
}
const bearishOB =
data[most_left_candle].close() > data[most_left_candle].open();
if (bearishOB) {
const z = most_left_candle;
let candles = 0;
let high = 0;
let low = 0;
let avg = 0;
for (let j = most_left_candle; j < i; ++j) {
if (data[j].close() < data[j].open()) {
candles++;
}
}
if (candles >= this.candle_count) {
high = data[z].high();
low = data[z].open();
high = data[z].high() > high ? data[z].high() : high;
low = data[z].open() < low ? data[z].open() : low;
avg = (low + high) / 2.0;
items.push({
tag: "Shapes",
key: "rects",
primitives: [
{
tag: "Rectangle",
position: {
x: du(d.index()),
y: du(low),
},
size: {
height: du(high - low),
width: du(data.length),
},
},
],
fillStyle: {
color: "red",
opacity: 30,
},
});
}
}
return {
graphics: {
items: items,
}
};
//return this.sma(d.close());
}
}
}
module.exports = {
name: "order block",
description: "order block",
calculator: order_block,
inputType: "bars",
params: {
period: predef.paramSpecs.period(14),
},
tags: ["My Indicators"],
schemeStyles: predef.styles.solidLine("#8cecff"),
};
