Indicator · Pine Script v4 · On the chart

TWTR-tracker

by Allen1212

This indicator overlays historical ARK Invest purchase and sale labels on the Twitter (TWTR) price chart.

View on GitHub

GitHub stars303on the repository
Pine versionv4older, still runs
Lines of code920
Settings1inputs
LicenceNone stated
Last update2 years ago24 Nov 2023

Add It to Your TradingView Chart

  1. 1Copy the scriptPress Copy script above. It reads the file straight from GitHub.
  2. 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
  3. 3Paste over the templateCreate a new indicator, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart, then adjust the settings with the gear icon next to its name.

Source Code

The code stays on GitHub. The author has not published this script under an open licence, so ForexR does not show its code. Copy script reads the file straight from GitHub into your clipboard, so you can still try it on your own chart. Ask the author before reusing the code anywhere else.

Overview

TWTR-tracker places green buy labels below bars and red sell labels above bars on fixed calendar dates, with text showing the trade side and how many selected ARK ETFs acted that day. The ETF input switches between ARKF, ARKK, ARKW, and all of them. It does not compute indicators, entries, exits, or risk management, and the shown history is hardcoded rather than updated live.

Details

Published by

Allen1212 on GitHub

Type

Indicator, Pine Script v4

Draws

On the price chart

Markets

Stocks

Timeframes

Any timeframe

Risk Notes

No repainting, lookahead or stacked entries were found in its code or README. That says nothing about how well it works: test it first.

Settings

The inputs you can change from the gear icon on the chart. Defaults are the author's.

SettingTypeDefaultVariable
ETFstringALLetf_type
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.

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