Strategy · Pine Script v6 · On the chart

BTCDOM Strategy

by AlanGuo

A long-only strategy that reads Bitcoin daily closes through request.security and compares them with a 30-day simple moving average widened by a slippage percentage.

View on GitHub

GitHub stars1on the repository
Pine versionv6current
Lines of code30
Settings4inputs
LicenceNone stated
Last update7 months ago31 Mar 2026

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 strategy, select all of the template text and paste. Press Save and give it a name.
  4. 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.

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

BTCDOM Strategy buys when Bitcoin falls below the lower offset line and closes the position when Bitcoin rises above the upper offset line. A take-profit limit order, 15 percent above entry by default, is attached. There is no stop loss. It trades the chart symbol using a fixed cash amount and draws only on the price chart.

Details

Published by

AlanGuo on GitHub

Draws

On the price chart

Markets

Crypto

Timeframes

H4 and above

Risk Notes

  • The strategy enters trades without a stop loss

Settings

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

SettingTypeDefaultVariable
BTCstringBINANCE:BTCUSDTbtc_symbol
均线长度int30ma_length
均线滑点(%)float1slide_pct
止盈百分比float15take_profit_pct
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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