r/Mt5

After months of development, I’ve added a visual no-code strategy builder to CoreCandle. It’s already working in beta.
Instead of writing Pine Script or MQL, you build strategies by connecting conditions visually, then backtest them on historical market data.
Current beta features include:
Visual no-code strategy builder
Historical backtesting
Backtest data sourced directly from MetaTrader 5 (MT5) or imported from CSV files
Multiple technical indicators
Configurable entry and exit conditions
Performance statistics after each backtest
I’m looking for feedback from traders and strategy developers before the public release.
Some questions:
Is MT5 and CSV import enough for your backtesting workflow, or would you want additional data sources?
What feature would make you switch from Pine Script or MQL?
What’s missing from current no-code strategy builders?
What would you test first if you had access?
Constructive feedback is appreciated. My goal is to make strategy development accessible to traders who don’t want to write code.

I ran a simple robustness check on a Gold EA in MT4 and got a result that I think is worth discussing.

The original backtest looked clean: high-quality tick data, realistic spread, and a smooth equity curve.

Then I shifted the quote history by 28 years and ran the strategy again.

The result changed dramatically. The equity curve became unstable and most of the apparent edge disappeared.

That does not automatically mean the EA is fraudulent. There are other possible explanations.

But for me, this is a serious robustness warning.

If a strategy only works on one specific historical placement of the same market structure, I would want to know why before trusting the backtest.

This kind of test can sometimes expose things like:

• hardcoded dates or time-dependent logic;
• excessive curve fitting;
• hidden dependence on a specific historical regime;
• parameters that are much less robust than the original backtest suggests.

What I find interesting is that a backtest can still look technically “good” — real tick data, proper spread, no obvious modelling issues — and yet the underlying strategy may still be fragile.

Has anyone here used time-shifted data or similar robustness tests for EAs?

And what would you consider a reasonable explanation if an EA performs well on the original history but collapses after shifting the same data in time?

Hello,

Im on iphone and i wan’t to familiarize with metatrader 5, so i opened a demo account to understand how to place orders, and understand the app.

So i created a demo account with 1:1 leverage, 3000€ of « virtual money », and tried to place orders on « XAUUSD » (gold vs US dollar), but the app won’t let me do it, and say « not enough money ».

A friend tried with a android phone with the same settings i said previously, and it worked for him. (He already had the app so he may have changed some settings in the app but does not remember it.

Does anyone know what i am doing wrong ?

Thanks

(English is not my first language, sorry i a made some mistakes.)

I’m trading XAUUSD on an FTMO MT5 account, and my candles suddenly look really weird compared to how they normally do. The wicks and candle shapes look kind of fucked up, and when I compare them to TradingView (OANDA feed), they’re noticeably different.

I know different brokers can have slightly different prices, but this isn’t just a tiny difference — some candles look completely different, especially the recent ones.

Has anyone else had this happen on FTMO MT5? Is this normal because of the FTMO price feed/liquidity providers, or could there be something wrong with my platform or server? I’m trying to figure out whether I should trust the MT5 chart or if I’m missing some setting.

Is this because of the CPI and PPI volatility, where different liquidity providers print different wicks, or could there be something wrong with my MT5 platform or server? Has anyone else noticed this on FTMO recently?

Just trying to figure out whether this is normal during major news events or if I should be concerned.

Any help would be appreciated.

I’ve spent the past several months building a proprietary Market Intelligence (MI) engine for my trading platform.
Rather than generating opinions like a chatbot, the engine combines multiple market factors into a probability-based assessment. It continuously evaluates historical outcomes and adjusts the weighting of different signals based on how accurately they aligned with actual market behavior.
It currently analyzes factors such as:
Trend
Momentum
Volume
Support & resistance
Chart patterns
Multi-timeframe alignment
Economic events
The goal isn’t to replace a trader’s judgment, but to provide a concise view of market conditions, confidence, and risk before making a decision.
I’m still validating and improving the engine, so I’d really appreciate feedback from experienced traders.
What would you want a tool like this to show?
What would make you trust it?
What would make it genuinely useful instead of just another indicator?
I’m happy to answer questions about the design and validation process.

I recently ran a poll among the algo traders who follow my channel, asking how they test EAs on MT4 and MT5.

The results were pretty interesting. They also highlighted what I think is a major problem in retail algo trading: many traders are evaluating strategies with testing methods that may not be robust enough, and then putting money behind algorithms that were never properly validated in the first place.

So I thought it would be interesting to run the same poll here and compare the results.

What do you use to test MT4/MT5 EAs?

Would also be interested to hear in the comments why you prefer your particular setup and what you consider essential for a reliable backtest.

I recently tested Scalping Robot Pro MT5. It has 100+ MQL5 reviews and the vendor backtest looks almost flawless.

What I found more interesting was the review history. A number of buyers left positive reviews after only a few hours or days of trading. With a grid-based system, that's nowhere near enough time to see the actual tail risk. The promoted monitoring account was also later replaced by a fresh account with only a short history, so the previous bad period was no longer visible there. This is why I don't put much weight on MQL5 ratings or vendor equity curves by themselves. For me, the real question is whether the strategy survives realistic costs, long enough history and adverse market periods. Do you guys test MQL5 EAs yourselves before buying, or do you use reviews/monitoring to filter them first?