強力な市場優位性を持つゴールド自動売買ロボット

This Swing Simple strategy for GOLD H1 timeframe. This strategy uses RRR 1:3. It was build by following this free workflow from AlgoLab. Strategy passed by these robustness tests Monte Carlo simulations, slippage, 2 Out Of Sample data test, 2 different timeframes.  With this custom project, you can start easily building strategies based on breakout and swing logic. Strategy was built on EST+7 timezone.

Strategy Equity:

Parameters Monte Carlo Simulations:

Description of the strategy logic:

Long (Buy) Entry:

The high price from two bars ago is higher than the low of the daily chart for three consecutive bars.
The opening price from three bars ago is below a 14-period linear regression line.
If these conditions are met, a long trade is opened at the highest price within the last 610 bars.
The order is valid for 9 bars, with a stop loss of 805 pips and a profit target of 2350 pips.

Short (Sell) Entry:

The open price from two bars ago on the daily chart is higher than the high of the main chart for six consecutive bars.
A SuperTrend indicator is higher than the open price from three bars ago, also for six bars.
The trade is opened at the lowest price within the last 615 bars.
The order is valid for 4 bars, with a stop loss of 865 pips and a profit target of 2255 pips. If the trade is still open after 36 bars, it will automatically close.

How to backtest strategy in StrategyQuant

1) Load strategy to the retester

2) If you do not have downloaded data, you have 2 options, you can just apply the config from the strategy and add the missing symbol or import common tickers from this config file

3) Download the data for XAUUSD using selected update only in data manager

How to deploy strategy to the DEMO account:

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