Gold Sparrow

5

Required reading: Live trading may involve significant drawdowns. Always trade with money you can afford to lose, and avoid setting the LotFactor too high (recommended 0.1–0.2).


By setting the parameter "UseRecentModel" to true, this EA can automatically download newly trained parameter values based on recent market data.


■Timeframe used 1H

■Minimum account balance --- Recommended 650-750 USD per 0.01 lot


■Gold Sparrow is a trading robot trained on 15 years of historical XAUUSD data. Please use it on the 1-hour timeframe. By incorporating multiple channel-based indicators, the EA is designed to better understand the current price position within market waves.

■Since Gold Sparrow employs a strategy of buying dips and selling rallies in line with the trend, it performs strongly when the trend persists but incurs losses if the trend suddenly reverses.

To help prevent drawdowns caused by sudden trend reversals, it is recommended to set the MaxHoldingHours parameter within the range of 5 to 8.


Recommended broker: A broker with GMT+3 in summer and GMT+2 in winter, such as IC markets.

(Exness is not recommended, but if you use Exness, please adjust the parameters as follows: TakeProfit=300000, StopLoss=30000, MaxSpread=600, Slippage=300, and WeekEndCloseTime=18)


■How to install the new model --- In MT5, go to Tools Options Expert Advisors and add

https://greentrailns-stack.github.io/MetaTrader/gold_sparrow1.1_model.json

as an allowed URL. After attaching the EA to a chart, a file named gold_sparrow1.1_model.json will be downloaded into the Files folder inside the Common directory.

When UseRecentModel is set to true, the EA will trade using the newly downloaded parameters (backtesting is not possible unless the parameters have been downloaded). While Gold Sparrow is running, it will automatically update the JSON file between 1:00–2:00 MT5 time on weekdays if a new version is available.


■This EA requires 500 H1 bars. In MT5, go to “Tools” “Options” “Charts” and set “Max bars in chart” to 500 or more. Then temporarily disable “Auto Scroll” and drag the chart to load and display at least 500 past candles. Thank you for your cooperation.


Parameter descriptions

■TakeProfit, StopLoss --- Values are in points.

■UseBuyLimitOrSellLimitLoss --- Places a pending order OffsetPoint points away from the current price.

■WPR_Filter --- Uses WPR as an entry filter. The EA will not enter trades when WPR is above or below the values set in WPR_Buy and WPR_Sell.

■OrderIntervalMinutes --- Prevents the EA from placing a new order until the specified number of minutes has passed since the previous order.

■OrderDelay (MilliSecond) --- Delays order execution by the specified number of milliseconds after a signal is generated.


■This EA is programmed to close a position if it is in profit after HoldingHours. If HoldingHours has passed and the position is still negative, it will close the moment the profit reaches (lot size × MinProfit). For example, with a 0.01‑lot order and MinProfit set to 100, the EA will close at 100 yen for JPY accounts or 100 cents for USD accounts. For micro accounts, please adjust MinProfit accordingly. If MaxHoldingHours has passed, the EA will close the position even if it is at a loss.


If the latest version does not work on MT5, please try v1.4. https://www.mql5.com/ja/market/product_version/371062/download


Note: Backtest results do not guarantee future profits. Please run the EA on a demo account for a while before using it live.

Comentários 9
tian yang
40
tian yang 2026.08.24 08:12 
 

Hello, I updated version 1.7 today, but during my backtesting, I found that when UseRecentModel was set to true, the backtesting performance was much lower than when it was set to false. Is the new parameter actually more unsuccessful? Looking forward to your explanation to clarify my confusion, thank you!

Edit:Thank you for your reply! So, in the long run, do you recommend setting it to 'true'? Or rather, set it to 'false' normally, and when the model is updated, set it to 'true' to download the latest model, and then change it back to 'false'. As you said, choose the high-performance one from multiple candidates (including the latest model just downloaded). But this seems a bit troublesome haha.

Taisany2
57
Taisany2 2026.08.22 07:59 
 

2連取で爆益でした。ありがとうございます。これが無料なのはうれしすぎます!!

Oscar
227
Oscar 2026.08.19 06:13 
 

Dear Noriyuki-san, thank you for providing EA v1.6. The installation process was seamless, and the initial backtest shows steady, reliable results. Furthermore, the performance after optimization is truly incredible. I am very grateful for your excellent work.

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tian yang
40
tian yang 2026.08.24 08:12 
 

Hello, I updated version 1.7 today, but during my backtesting, I found that when UseRecentModel was set to true, the backtesting performance was much lower than when it was set to false. Is the new parameter actually more unsuccessful? Looking forward to your explanation to clarify my confusion, thank you!

Edit:Thank you for your reply! So, in the long run, do you recommend setting it to 'true'? Or rather, set it to 'false' normally, and when the model is updated, set it to 'true' to download the latest model, and then change it back to 'false'. As you said, choose the high-performance one from multiple candidates (including the latest model just downloaded). But this seems a bit troublesome haha.

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.08.24 10:33
Thank you for your review. The model configured with `UseRecentModel` set to `false` is a high-performing one selected from several candidates; as it was released relatively recently, it continues to perform well. A newly trained model does not necessarily guarantee superior results. However, that may change in six months or a year.
Taisany2
57
Taisany2 2026.08.22 07:59 
 

2連取で爆益でした。ありがとうございます。これが無料なのはうれしすぎます!!

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.08.24 10:28
レビューありがとうございます。今後も良い成績が維持していけることを私も願っています。
Oscar
227
Oscar 2026.08.19 06:13 
 

Dear Noriyuki-san, thank you for providing EA v1.6. The installation process was seamless, and the initial backtest shows steady, reliable results. Furthermore, the performance after optimization is truly incredible. I am very grateful for your excellent work.

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.08.24 10:26
Hello. Thank you for the review. I am glad I could be of help. However, please keep in mind that backtest results are just that—backtest results.
playgold
1306
playgold 2026.07.18 02:27 
 

"Version: 1.4 Updated: 7 July 2026" with default settings gives excellent results in backtest on XAUUSD with my broker's real ticks since January 1 to July 17, 2026, showing recovery factor 21.7, profit factor 10.8, and win rate 93% (average win $37, average loss -$48, largest loss -$72). There are 6 additional profit trades (and no losses) in the last 10 days, which is effectively a brief forward-test since the version update (and there's no model update for this version yet). Stress-tests on XAUEUR and XAUAUD also give acceptable results (even if understandably much worse than those for XAUUSD).

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.07.30 13:16
Thank you for the detailed review. To be honest, this EA hasn't produced any results yet. I, too, hope it will generate profits in the future.
Jbakimon
286
Jbakimon 2026.06.22 07:04 
 

Great and has potential for daily profit. Thanks to developer

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.07.30 13:14
Thank you for the review. To be honest, this EA has not yet produced any results. It has turned out to be a rather difficult EA to manage, even for us as the developer.
aqwa
328
aqwa 2026.06.10 13:28 
 

This is a very good EA for accelerating small deposits, many thanks to the developer!

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.06.11 15:29
Thank you very much for the wonderful review. The EA hasn’t achieved significant results in live trading yet, but I truly hope I can live up to the expectations of those who view it positively.
XXX XXX
140
XXX XXX 2026.06.10 08:06 
 

Good ,thx m8 cheers.

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.06.11 15:27
Hello, and thank you for the positive and encouraging review. I’m also hoping that this EA will deliver good results.
Cristian Salute
479
Cristian Salute 2026.06.08 17:18 
 

I really appreciate the direction Noryuki-san is taking with his EAs. It’s a new, innovative, and promising path. This new concept of having a model that’s constantly updated based on market changes is undoubtedly original, and I haven’t seen anything like it on the market yet. This makes this developer an innovator and a visionary. I’m sure that if he continues down this path, he’ll achieve his goal! I’m testing all of his AI-based EAs, and they’re really, really promising.

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.06.11 15:25
Thank you very much for the wonderful review. It seems that continuously retraining on the most recent market data is actually one of the standard approaches in the world of reinforcement‑learning-based trading. However, it still appears to be a rather uncommon method in the MQL5 Market. I also feel a good kind of pressure as I look ahead to its future performance. In any case, I truly hope that running this EA will eventually lead to some positive results.
Alesamo
1598
Alesamo 2026.06.08 16:00 
 

O usuário não deixou nenhum comentário para sua avaliação

Noriyuki Suzuki
8198
Resposta do desenvolvedor Noriyuki Suzuki 2026.06.11 15:20
Thank you very much for the wonderful feedback. The EA’s start has unfortunately been a bit disappointing, but I’m also hoping for its success.
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