ditus/personal_TV
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

double short SMAs auto TF

Browse Source
This commit is contained in:
DiTus
2025-07-21 23:02:08 +02:00
parent af4c81b95f
commit a9aafbc07c
5 changed files with 166 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

98
static/hts.js Normal file
View File

@ -0,0 +1,98 @@
/**
* HTS Indicator Definition
* Allows selecting average type and fast interval.
*/
const HTS_INDICATOR = {
name: 'HTS',
label: 'HTS',
usesBaseData: false,
params: [
{ name: 'avgType', type: 'select', defaultValue: 'VWMA', options: ['RMA', 'EMA', 'SMA', 'WMA', 'VWMA'], label: 'Average Type' },
{ name: 'fast', type: 'number', defaultValue: 33, min: 1, label: 'Fast Interval' }
],
calculateFull: function(data, params) {
// determine data and period based on autoTF
let source = data;
const period = params.fast;
if (params.autoTF) {
// current timeframe in seconds between candles
const tfSec = (data.length > 1) ? (data[1].time - data[0].time) : 60;
const tfMin = tfSec / 60;
const autoInterval = Math.max(1, Math.floor(tfMin / 4));
// aggregate displayed data at autoInterval
source = aggregateCandles(data, autoInterval);
} else {
source = data;
}
const type = params.avgType;
if (!source || source.length < period) return { max: [], min: [] };
const maxSeries = [];
const minSeries = [];
let sumH, sumL, prevH, prevL, mult;
switch (type) {
case 'SMA':
sumH = 0; sumL = 0;
for (let i = 0; i < period; i++) { sumH += source[i].high; sumL += source[i].low; }
maxSeries.push({ time: source[period - 1].time, value: sumH / period });
minSeries.push({ time: source[period - 1].time, value: sumL / period });
for (let i = period; i < source.length; i++) {
sumH += source[i].high - source[i - period].high;
sumL += source[i].low - source[i - period].low;
maxSeries.push({ time: source[i].time, value: sumH / period });
minSeries.push({ time: source[i].time, value: sumL / period });
}
break;
case 'EMA':
case 'VWMA':
mult = 2 / (period + 1);
// initialize
sumH = 0; sumL = 0;
for (let i = 0; i < period; i++) { sumH += source[i].high; sumL += source[i].low; }
prevH = sumH / period; prevL = sumL / period;
maxSeries.push({ time: source[period - 1].time, value: prevH });
minSeries.push({ time: source[period - 1].time, value: prevL });
for (let i = period; i < source.length; i++) {
const h = source[i].high, l = source[i].low;
prevH = (h - prevH) * mult + prevH;
prevL = (l - prevL) * mult + prevL;
maxSeries.push({ time: source[i].time, value: prevH });
minSeries.push({ time: source[i].time, value: prevL });
}
break;
case 'RMA':
// Wilder's smoothing
sumH = 0; sumL = 0;
for (let i = 0; i < period; i++) { sumH += source[i].high; sumL += source[i].low; }
prevH = sumH / period; prevL = sumL / period;
maxSeries.push({ time: source[period - 1].time, value: prevH });
minSeries.push({ time: source[period - 1].time, value: prevL });
for (let i = period; i < source.length; i++) {
const h = source[i].high, l = source[i].low;
prevH = prevH + (h - prevH) / period;
prevL = prevL + (l - prevL) / period;
maxSeries.push({ time: source[i].time, value: prevH });
minSeries.push({ time: source[i].time, value: prevL });
}
break;
case 'WMA':
const denom = period * (period + 1) / 2;
for (let i = period - 1; i < source.length; i++) {
let wSumH = 0, wSumL = 0;
for (let j = 0; j < period; j++) {
const w = period - j;
wSumH += source[i - j].high * w;
wSumL += source[i - j].low * w;
}
maxSeries.push({ time: source[i].time, value: wSumH / denom });
minSeries.push({ time: source[i].time, value: wSumL / denom });
}
break;
default:
source.forEach(d => {
maxSeries.push({ time: d.time, value: d.high });
minSeries.push({ time: d.time, value: d.low });
});
}
return { max: maxSeries, min: minSeries };
}
};