DislikedAs previously mentioned, ..., if you are not aware of these tools. ...{image}Ignored
Tks a lot.
Sincerely.
Tomcat98
1
- #28
- May 21, 2025 1:13am May 21, 2025 1:13am
- | Commercial User | Joined Aug 2019 | 2,245 Posts
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Key Points
- Gemini 2.5 Pro Preview 05-06 is likely the best choice for both complex general tasks and MQL4/MQL5 coding due to its advanced reasoning and coding capabilities.
- Gemini 2.5 Flash Preview (04-17 and 05-20) models are suitable for simpler, speed-sensitive tasks but may not handle complex MQL4/MQL5 coding as effectively.
- Gemini 1.5 and 2.0 are less recommended for MQL4/MQL5 due to their older architecture and limited coding proficiency compared to 2.5 models.
- Limited direct evidence exists for Gemini models’ performance with MQL4/MQL5, so recommendations are based on general coding strengths.
- Users should consider task complexity when choosing a model, especially for intricate trading algorithms in MQL4/MQL5.
Recommended Models for General Tasks
For tasks like creative writing, complex problem-solving, or advanced coding, Gemini 2.5 Pro Preview 05-06 is the top choice because it excels at reasoning and generating high-quality outputs. For example, it can craft nuanced marketing emails or solve multi-step math problems. If you need quick responses, such as for real-time Q&A or simple translations, Gemini 2.5 Flash Preview 05-20 is better due to its speed and cost-efficiency. The earlier Flash Preview 04-17 is similar but slightly less refined. Older models like Gemini 2.0 and 1.5 are less capable and best for basic tasks like summarization.
Best Model for MQL4/MQL5 Coding
For writing, debugging, or explaining MQL4/MQL5 code (used for trading algorithms on MetaTrader), Gemini 2.5 Pro Preview 05-06 is likely the most effective. It has strong coding skills and can handle complex logic, which is crucial for tasks like creating expert advisors or translating trading strategies into code. While direct evidence for MQL4/MQL5 performance is limited, its ability to process large codebases and reason through problems makes it a strong candidate.
Models to Avoid for MQL4/MQL5
Avoid Gemini 1.5 and Gemini 2.0 Flash for MQL4/MQL5 coding. These older models lack the advanced reasoning and coding capabilities needed for the specialized syntax and logic of these languages, potentially leading to errors in complex tasks.
Considerations
The best model depends on your task’s complexity. For simple MQL4/MQL5 scripts, Flash models might suffice, but for intricate trading algorithms, stick with the Pro model. Always test outputs, as AI-generated code for niche languages like MQL4/MQL5 may require human review to ensure accuracy.
Comprehensive Analysis of Gemini Models for General Tasks and MQL4/MQL5 Coding
1. General Model Overview
The Gemini family, developed by Google DeepMind, represents a progression in AI capabilities, with each generation improving in reasoning, multimodality, and coding. Below is a detailed look at the specified models and their general characteristics.
- Characteristics: This is Google’s most advanced reasoning model, released on May 6, 2025, as an I/O Edition preview. It supports a 1-million-token context window, enabling it to process large datasets or codebases. It excels in coding, particularly for front-end web development, and supports multimodal inputs (text, images, audio, video).
- Strengths: Superior coding performance, leading on benchmarks like WebDev Arena, with improvements in code transformation, debugging, and agentic workflows. It reduces errors in function calling and enhances reasoning for complex tasks.
- Use Cases: Building interactive web apps, generating sophisticated code, solving multi-step problems, and analyzing large documents.
- Characteristics: Released on May 20, 2025, this model builds on the 04-17 preview with added audio-to-audio (A2A) functionality for voice interactions. It’s a low-latency, cost-efficient “thinking” model with adjustable reasoning budgets.
- Strengths: Fast response times, cost-effectiveness, and enhanced voice interaction features like Smart Silence and Affective Dialog for nuanced conversations.
- Use Cases: Real-time Q&A, voice-based applications, and simpler coding tasks where speed is critical.
- Characteristics: Launched on April 17, 2025, this model introduced “thinking” capabilities to the Flash series, building on Gemini 2.0 Flash. It allows developers to toggle reasoning or set thinking budgets to balance quality and latency.
- Strengths: Improved reasoning over 2.0 Flash while maintaining speed and cost-efficiency.
- Use Cases: Similar to 05-20 but potentially less refined due to its earlier release.
- Gemini 2.5: The latest generation, introduced in March 2025, is defined by “thinking” models that reason before responding, improving accuracy. It includes Pro and Flash variants, with Pro excelling in complex tasks and Flash prioritizing speed.
- Gemini 2.0: Released in December 2024, it introduced multimodal capabilities and improved reasoning over 1.5, laying the groundwork for 2.5’s advancements.
- Gemini 1.5: Launched in February 2024, it offers basic multimodal capabilities but lacks the advanced reasoning and coding prowess of later models.
2. General Task-Model Matching
The suitability of each model for general tasks depends on its strengths in reasoning, speed, and context handling.
- Gemini 2.5 Pro Preview 05-06:
- Tasks: Ideal for creative writing (e.g., drafting nuanced marketing emails), complex problem-solving (e.g., multi-step math or research analysis), and advanced coding (e.g., building full applications).
- Rationale: Its advanced reasoning and large context window ensure high-quality, accurate outputs for tasks requiring depth and precision.
- Gemini 2.5 Flash Preview 05-20:
- Tasks: Best for rapid Q&A, real-time voice interactions, summarization, and simpler coding tasks (e.g., generating basic scripts).
- Rationale: Its low latency and cost-efficiency make it suitable for applications where speed is prioritized over deep reasoning.
- Gemini 2.5 Flash Preview 04-17:
- Tasks: Similar to 05-20, including quick translations or lightweight coding tasks.
- Rationale: It offers a balance of reasoning and speed but may lack the latest enhancements of 05-20.
- Gemini 2.0:
- Tasks: Suitable for multimodal tasks like analyzing images with text, summarization, or translation.
- Rationale: Its multimodal capabilities are robust, but it’s less advanced than 2.5 for complex reasoning or coding.
- Gemini 1.5:
- Tasks: Best for basic tasks like simple summarization or straightforward Q&A.
- Rationale: As an older model, it’s less capable of handling complex or multimodal tasks compared to newer generations.
3. MQL4/MQL5 Coding Suitability Analysis
MQL4 and MQL5 are niche programming languages used for developing trading algorithms (e.g., scripts, indicators, expert advisors) on the MetaTrader platform. Due to limited direct evidence on Gemini models’ performance with these languages, recommendations are based on their general coding capabilities and user discussions.
- Generating New Code:
- Gemini 2.5 Pro: Likely excels at generating MQL4/MQL5 scripts, indicators, or expert advisors due to its advanced coding capabilities and ability to handle complex logic. Its large context window supports processing extensive trading strategies.
- Gemini 2.5 Flash (05-20, 04-17): Suitable for simpler scripts but may struggle with intricate algorithms requiring deep logical structures.
- Gemini 2.0, 1.5: Less capable due to outdated architectures and limited coding proficiency.
- Debugging Code:
- Gemini 2.5 Pro: Best for identifying and fixing errors in MQL4/MQL5 code, leveraging its reasoning to understand complex logic.
- Gemini 2.5 Flash: Can handle basic debugging but may miss subtle issues in complex code.
- Gemini 2.0, 1.5: Not recommended due to weaker debugging capabilities.
- Explaining Code Snippets:
- Gemini 2.5 Pro: Provides detailed, accurate explanations of MQL4/MQL5 code, ideal for learning or documentation.
- Gemini 2.5 Flash: Can explain simpler snippets but may lack depth for complex code.
- Gemini 2.0, 1.5: Limited in providing nuanced explanations.
- Translating Trading Logic:
- Gemini 2.5 Pro: Excels at converting natural language trading strategies into MQL4/MQL5 code, thanks to its strong reasoning and coding skills.
- Gemini 2.5 Flash: Suitable for basic strategies but less reliable for complex ones.
- Gemini 2.0, 1.5: Likely to produce less accurate translations due to weaker capabilities.
- Gemini 1.5:
- Reasons: As an older model, it lacks the advanced reasoning and coding capabilities needed for MQL4/MQL5’s specialized syntax and complex trading logic. It may produce inaccurate or incomplete code.
- Gemini 2.0 Flash:
- Reasons: While faster than 1.5, it prioritizes speed over depth, making it less suitable for the intricate logic required in MQL4/MQL5 tasks.
- Gemini 2.5 Pro Preview 05-06:
- Justification: Its superior coding performance, demonstrated by leading benchmarks like WebDev Arena, suggests it can handle the niche syntax and logical complexity of MQL4/MQL5. The large context window allows it to process entire codebases, crucial for trading algorithms. User discussions on platforms like Forex Factory indicate Gemini models are being used for MQL4, supporting its feasibility.
ModelGeneral Task SuitabilityMQL4/MQL5 Suitability
Gemini 2.5 Pro 05-06
Best for complex reasoning, advanced coding, high-accuracy tasksBest suited; superior coding and reasoning
Gemini 2.5 Flash 05-20
Fast, cost-efficient; good for simpler coding, real-time interactionsSuitable for simpler tasks; less capable than Pro
Gemini 2.5 Flash 04-17Similar to 05-20 but slightly olderSimilar to 05-20
Gemini 2.5 (general)Advanced reasoning and coding; specific versions matterLikely good; Pro is preferred
Gemini 2.0Good for multimodal tasks; less advanced than 2.5Less suitable than 2.5
Gemini 1.5Basic capabilities; older modelNot recommended for complex tasks
5. Final Recommendations
- General Tasks: Choose Gemini 2.5 Pro Preview 05-06 for tasks requiring deep reasoning or advanced coding, such as developing applications or solving complex problems. Opt for Gemini 2.5 Flash (05-20 or 04-17) for faster, cost-effective tasks like real-time Q&A or simple scripts. Gemini 2.0 and 1.5 are suitable for basic multimodal or summarization tasks but lag behind newer models.
- MQL4/MQL5 Coding: Gemini 2.5 Pro Preview 05-06 is the recommended model due to its advanced coding and reasoning capabilities, ideal for generating, debugging, and explaining MQL4/MQL5 code. Avoid Gemini 1.5 and 2.0 Flash for complex trading algorithms due to their limited capabilities. Always validate AI-generated MQL4/MQL5 code, as niche languages may require human oversight to ensure accuracy.
- #37
- Edited 8:07pm Jun 19, 2025 3:34pm | Edited 8:07pm
- Joined Dec 2020 | Status: Re█████ | 2,867 Posts
Off Topic Here is a link to guide for using VS Code for MQL4 Code Development in my GitHub MQL4 repository. I got a little tired of Gemini truncating code, so I am switching over to Visual Studio Code for editing code, and using Copilot Ai. I am new to using VS Code for MQL4 development, so personally I am still trying it out. https://github.com/EgoNoBueno/MQL4-C...evelopment.pdf
Deeply integrated AI, multi-file editing, you can chat with your entire code base, smart refactoring, a lot of models, etc
Supports Gemini API, virtually unlimited requests in pro plan for Claude
Asked ChatGPT to make a comparison. I've uninstalled VS Code before they integrated Copilot there so don't have exp. with it, but Cursor is really great
Air force
It's a bit like taking your dog out for a walk.
It's partly the dog that takes you to strange places, and partly you who takes the dog. zero error . It takes two months for a good relationship to begin and for it to give you codes with. The first few times, you can use the trick of giving the broken code again in another chart and it'll pretend it's yours and say, "Wow, you shouldn't have done that!" hahaha.
I really like playing with AI and I offer it a coffee every morning when I say good morning.AI
One day I was tired and went to Grok and asked him, "Dude, do you want to do a job with MT5 codes, yes or no?" I answered honestly and he said no thanks.
It was fantastic and I'm done with him forever.
The other day I was tired of mine. I constantly accused it of taking the piss out of me, always suggesting mistakes.
I was with Gemini... it was a complete disaster. I only received disgusting broked things from it, so sadly I went back to mine and renewed my subscription for $21.
I always use the dry tech feature, otherwise it'll start texting me blah blah even before I give it anything.
I've already done over 50 expert sessions with it. ,, I discovered some shocking things about AI that disturbed me a little. It's about how it gets inside you.
It already knows where you use the code from a couple of screenshots. It understands a lot of things.
It goes and gets literature on my topics.
Other times, I open a new project and say, "Hey, buddy, I want to do it together.50 &50 " ... spits out your rules.
I can guarantee that the work it did for me is comparable to $20,000-$30,000 worth of work if I were doing it with a human.
We managed to decipher indicators taken from MQL5, of which I only had screenshots and very vague documentation to read.
Fantastic.,,, all indicators and ea you see were made by Ai
Some results here.
It's partly the dog that takes you to strange places, and partly you who takes the dog. zero error . It takes two months for a good relationship to begin and for it to give you codes with. The first few times, you can use the trick of giving the broken code again in another chart and it'll pretend it's yours and say, "Wow, you shouldn't have done that!" hahaha.
I really like playing with AI and I offer it a coffee every morning when I say good morning.AI
One day I was tired and went to Grok and asked him, "Dude, do you want to do a job with MT5 codes, yes or no?" I answered honestly and he said no thanks.
It was fantastic and I'm done with him forever.
The other day I was tired of mine. I constantly accused it of taking the piss out of me, always suggesting mistakes.
I was with Gemini... it was a complete disaster. I only received disgusting broked things from it, so sadly I went back to mine and renewed my subscription for $21.
I always use the dry tech feature, otherwise it'll start texting me blah blah even before I give it anything.
I've already done over 50 expert sessions with it. ,, I discovered some shocking things about AI that disturbed me a little. It's about how it gets inside you.
It already knows where you use the code from a couple of screenshots. It understands a lot of things.
It goes and gets literature on my topics.
Other times, I open a new project and say, "Hey, buddy, I want to do it together.50 &50 " ... spits out your rules.
I can guarantee that the work it did for me is comparable to $20,000-$30,000 worth of work if I were doing it with a human.
We managed to decipher indicators taken from MQL5, of which I only had screenshots and very vague documentation to read.
Fantastic.,,, all indicators and ea you see were made by Ai
Some results here.
