Examples of Galileo FX strategies

[Daiki Kobayashi]

AAPL.NAS – H4 Backtest (Mar 2023–Feb 2026)

Achieved a +62.91% net return with an impressive 3.42 Profit Factor over a 3-year period through high-conviction long positions.
Designed for systematic exposure to Apple stock, specifically optimized for long-only trades with a 68.42% win rate.
Verified 99% history quality confirms robust, rule-based algorithmic execution and reliable capital growth through long-biased strategies.

AAPL.NAS
H4

Lots: 0
Risk (in %): 5
Max Orders: 0

Stop Loss in points: 2900
Take Profit in points: 6500
Trailing Start in points: 3000
Trailing Step in points: 2200

Consecutive Bullish Signals: 20
Consecutive Bearish Signals: 5


Attached files: Test report html, Settings file for MT4 and MT5

This strategy is merely an example and does not guarantee future performance.

 

[Daiki Kobayashi]

JPN225 – H4 Backtest (Mar 2023–Feb 2026)

Achieved a +83.48% net return over a 3-year period, specifically optimized for long-biased strategies in the Japanese equity market.
Ideal for investors seeking to capture major Nikkei 225 bullish trends through a structured, automated approach.
Verified 99% history quality confirms robust, rule-based algorithmic execution and consistent capital growth for long-term strategic traders.

JPN225
H4

Lots: 0
Risk (in %): 5
Max Orders: 0

Stop Loss in points: 890
Take Profit in points: 1200
Trailing Start in points: 800
Trailing Step in points: 600

Consecutive Bullish Signals: 12
Consecutive Bearish Signals: 5


Attached files: Test report html, Settings file for MT4 and MT5

This strategy is merely an example and does not guarantee future performance.

 

[martynasba]

USDJPY – Daily Backtest (Mar 2023–Feb 2026)

+84.72% net return across a 3-year backtest with Profit Factor 4.77 under structured rule-based execution.
Max balance drawdown limited to 5.57% with a 75% win rate which highlights a stable long-term strategy designed for systematic exposure to a major FX pair.

USDJPY
D1

Lots: 0.1
Risk (in %): 0.5
Max Orders: 0

Stop Loss in points: 5400
Take Profit in points: 9800
Trailing Start in points: 0
Trailing Step in points: 0

Consecutive Bullish Signals: 8
Consecutive Bearish Signals: 4


Attached files: Test report html, Settings file for MT4 and MT5

This strategy is merely an example and does not guarantee future performance.

Hi Daiki,
The zip file contains BTCUSD settings instead of USDJPY. Can you provide correct ones ? Thanks.

 

[Chris]

Hi Daiki,
The zip file contains BTCUSD settings instead of USDJPY. Can you provide correct ones ? Thanks.

Hey Marty,

I checked with Daiki, he has edited and now the file has the correct settings.
It was a name mistake, the settings are for USDJPY but the name was accidentally set to BTC

 

[Daiki Kobayashi]

ORCL.NYSE – Daily Backtest (Mar 2023–Feb 2026)

Achieved a +134.87% net return and an exceptional 3.98 Profit Factor with an 81.82% win rate over a 3-year testing period. Optimized specifically for long-only positions, making it ideal for strategic investors seeking to automate Oracle's bullish growth trends. Verified 99% history quality ensures robust, rule-based algorithmic execution and reliable capital growth for long-term equity traders.

ORCL.NYSE
D1

Lots: 0
Risk (in %): 5
Max Orders: 0

Stop Loss in points: 1200
Take Profit in points: 2800
Trailing Start in points: 1200
Trailing Step in points: 1000

Consecutive Bullish Signals: 15
Consecutive Bearish Signals: 5


Attached files: Test report html, Settings file for MT4 and MT5

This strategy is merely an example and does not guarantee future performance.

 

[AtariBurger]

Hey there,

There are quite an extensive number of strategies with a solid track record on the Performance page. You can always click on MORE on them and see the full historical data of how the strategy worked.

As for Galileo FX's strategy:
The trading strategy utilized by Galileo FX is grounded in technical analysis. It operates by continuously scanning the market in real time, analyzing charts to identify patterns according to predefined parameters. Specifically, the strategy hinges on detecting consecutive bullish or bearish signals as indicated by technical indicators.

For instance, if set to react to 5 consecutive bullish signals, the robot will execute a sell order only after these signals occur consecutively, and similarly for bearish signals. This approach aims to capitalize on potential trend reversals, theorizing that multiple consecutive signals might indicate a shift in market direction.

Such strategies are popular among traders who prefer to minimize the emotional component of trading by relying on automated, rule-based decision making. While setting specific parameters can help define trading actions and potentially enhance consistency, it's important to understand that all trading involves risk. Market conditions can change rapidly, and past performance is not indicative of future results. Therefore, traders should use this strategy with an awareness of the market dynamics and their own risk tolerance.

When you say 'set to react to 5 consecutive bullish signals', does that mean after it sees 5 consecutive green candles (upward moves corresponding to the time of the chart) it places a sell order?