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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Scales Study Analysis"
   ]
  },
  {

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// download.service:

/**
 * Create Download request
 *
 * @param size Size in Bytes, default 256kB
 */
download(size: number = 256 * 1024): any {
    return Observable.create((observer) => {
        let t;

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<div style="text-align:center">
  <h1>
    Welcome to {{ title }}!
  </h1>
  <button mat-button
          (click)="addFruit()">Add Fruit</button>
  <button mat-button
          (click)="addVegetable()">Add Vegetable</button>
  <mat-tree [dataSource]="dataSource"
            [treeControl]="treeControl">

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const orig = '2019-12-06 23:06:25';

var d = new Date(orig.replace(' ', 'T') + 'Z');

var options = { year: 'numeric', month: '2-digit', day: '2-digit', hour: '2-digit', hour12: false, minute: '2-digit', second: '2-digit' };
var parsedDate = d.toLocaleString('en-US', options);

var date = parsedDate.split(', ')[0].split('/');
var time = parsedDate.split(', ')[1];

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import { Injectable } from '@angular/core';
import * as io from 'socket.io-client';

import { Observable } from 'rxjs';

import { environment } from '../../../environments/environment';

@Injectable({
  providedIn: 'root'
})

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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © brunogardlo
//@version=5
indicator('Heikin Ashi reversal points v2.0', overlay=false)

HA_fast_interval = input.timeframe(title='HA Fast Interval', defval='3D')
HA_slow_interval = input.timeframe(title='HA Slow Interval', defval='W')
hide_candle_values_fast = input(title='Hide fast candle open/close', defval=true)
hide_candle_values_slow = input(title='Hide slow candle open/close', defval=false)
hide_candle_extrems = input(title='Hide candle low/highs', defval=false)

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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © brunogardlo
//@version=6
indicator('Heikin Ashi reversal points', overlay = true)

HA_fast_interval = input.timeframe(title = 'HA Fast Interval', defval = '3D')
HA_slow_interval = input.timeframe(title = 'HA Slow Interval', defval = 'W')
smoothing_l = input.int(title = 'ALMA length', defval = 9, minval = 1)
alma_offset = input.float(title = 'ALMA Offset (smoothness/responsivness)', defval = 0.85, step = 0.05)
alma_sigma = input.int(title = 'ALMA Sigma', defval = 6, minval = 1)

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Of course. It's an excellent question that gets to the heart of modern Angular development. The key is to stop thinking about "two-way binding" and start thinking about a clean, predictable, unidirectional data flow.

Here is a comprehensive guide on how to declaratively interconnect Angular Reactive Forms with Signals, establishing a robust and maintainable pattern.

---

A Guide to Declaratively Connecting Signals and Angular Forms

The core challenge is that these are two powerful but distinct reactive systems:

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Linking a Provider (e.g., Google)

Since your frontend doesn't have the Firebase SDK, the linking process is managed by your NestJS backend. It's a standard OAuth flow where your backend orchestrates the steps.

The Flow:

1. User Initiates Link: The logged-in user clicks "Link Google Account" in your Angular app.
2. Backend Creates Auth URL: Your Angular app calls an endpoint on your NestJS API (e.g., GET /auth/google/link). Your backend uses a library like google-auth-library to generate a unique Google authentication URL. It's crucial to include a state parameter containing the user's session ID or a signed JWT to securely identify them upon callback.
3. Frontend Redirects: The NestJS API sends this URL back to the Angular app, which then redirects the user to Google's sign-in page.
4. User Authenticates: The user signs in with Google and approves the permissions.