vtanathip

//@version=5
indicator("Crypto-Tuned Stochastic RSI Lagged For Confirmation", overlay=false)

// Input parameters
rsiLength = input.int(9, title="RSI Length", group="RSI Settings")                      // RSI lookback period
rsiSourceInput = input.source(close, "Source", group="RSI Settings")                    // RSI Source
rsiUpperBandValue = input.float(80, title="Oversold Level", group="RSI Settings")       // Oversold threshold
rsiLowerBandValue = input.float(20, title="Overbought Level", group="RSI Settings")     // Oversold threshold
stochLength = input.int(9, title="Stochastic Length", group="Stochastic Settings")      // StochRSI lookback period
kSmoothing = input.int(3, title="%K Smoothing", group="Stochastic Settings")            // %K smoothing period

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{
  "success": true,
  "credits_left": 100,
  "rate_limit_left": 100,
  "daily_rate_limit_left": 100,
  "minute_rate_limit_left": 499,
  "next_minute_rate_limit_reset": "2025-07-08T14:47:29.000Z",
  "person": {
    "publicIdentifier": "vtanathip",
    "linkedInIdentifier": "ACoAAAZ1ls4B2BMA3u-CJR3OJ0wmDAtrSZhtqbE",

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{
  "name": "Github MCP Server",
  "nodes": [
    {
      "parameters": {
        "path": "0056a959-12e5-4c0b-80b9-9fa2a07b7c84"
      },
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "typeVersion": 2,
      "position": [

vtanathip

services:
  n8n:
    image: n8nio/n8n
    container_name: n8n
    restart: always
    ports:
      - 5678:5678
    environment:
      - DB_TYPE=sqlite
      - DB_SQLITE_VACUUM_ON_STARTUP=true

vtanathip

const myComponent = document.querySelector('my-custom-component');

const shadowRoot = myComponent.shadowRoot;

const myParagraph = shadowRoot.querySelector('#my-paragraph');
console.log(myParagraph.textContent); // Output: Hello from Shadow DOM!

vtanathip

docker volume create n8n_data

docker run -it --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

---

ngrok http --url=teal-awaited-gorilla.ngrok-free.app 80

vtanathip

//@version=5
indicator("Dynamic Table Example with Colors", overlay=true)

// Inputs
smaLength = input.int(20, title="SMA Length", minval=1)
upColor = input.color(color.new(color.green, 0), title="Bullish Color")
downColor = input.color(color.new(color.red, 0), title="Bearish Color")
neutralColor = input.color(color.new(color.gray, 0), title="Neutral Color")

// Function to calculate the trend for a specific timeframe

vtanathip

# Steps to download file
- Open the link that contains VDO that you want to download
- Open chrome dev tools
- Go to Network tab
- Play a VDO
- Fitler on Network tab with "videoplayback"
- Copy one of them and open in another tab (this step you need to pay attention on url, it need to remove "&range" parameter till the end of url out
- Now you will able to download the VDO but no audio in it
- Back to Network tab again and looking for smallest file of "videoplayback" result
- Do the same steps above to download audio file

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export {};

function findClosestNumber(arr: number[], target: number): number {
    // Sort the array in ascending order
    arr.sort((a, b) => a - b);

	let closest: number = arr[0];
	let minDifference: number = Math.abs(target - closest);

	arr.forEach((num) => {

vtanathip

# built application files
*.apk
*.ap_

# files for the dex VM
*.dex

# Java class files
*.class