The Bfexplorer Betfair trading application offers a wide range of pre-built strategies. These can be categorized into three main groups: 1. General Strategies: Basic actions for placing bets.2. Trading Strategies: Complex maneuvers that execute both an opening bet and a closing action ...
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Bfexplorer Reference Guide
A bfexplorer user took the time to create the following Bfexplorer Reference Guide for us all. You can download it from following links: Bfexplorer New User Guide Bfexplorer Reference Guide Bfexplorer Strategy Builder Reference TOS Bfexplorer Bridge Implementation Guide
Bfexplorer Latest Release
Version 5.14.0830 The cumulative updates. Install from Bfexplorer Preview version. Version 5.13.0818 The cumulative updates. Install from Bfexplorer Preview version. Version 5.07.0322 The cumulative updates: Betfair AI Trading, Create Strategy Settings LLM ...
layteruk10
Nixc0rdant, I'm happy to share anything useful. Just to be clear, I am not a programmer so I do everything with AI. At the moment everything is with claude but I will look later at local models. I also follow 'knowledge packs' approach. My initial plan was to have bfexplorer running on various staretegies and a URL to open markets and place trades. This is working well but everything is still at testing as a few minor issues so now I'm using the AI to remove those and to increase efficiency.
Stefan
Nixc0rdant, which programming language are you using for your Betfair projects?
While different languages might be used, I find that statically typed programming languages like F# and .NET languages such as C# or Visual Basic do not require loading an entire source code codebase.
For instance, with F#, we have MCP servers that can explore any type of referenced library. This approach prevents hallucination and avoids having to process millions of tokens just to browse the entire codebase.
I did not write my own prompts; I had the LLM generate them, which you can see in experiments on my GitHub.
I use DeepSeek models, which offer a 1M context window, enough for an entire session within my Betfair strategy project.
In fact, when debugging with an LLM against real-time data, the amount of that data is often larger than my entire strategy project's codebase. After testing over three days, I was genuinely surprised that given all the code DS generated into the output context, it remembered closed market data when asked to calculate P&L from our tests.
These closed markets were not within the bfexplorer application itself; rather, Reasonix/DeepSeek LLM retained this information in its memory context.
Nixc0rdant
That sounds like an fun build! I’ve been deep in Claude Co‑Work and code workspace after running into similar limitations with long‑term memory and context drift. What’s helped me a lot is creating modular Markdown 'knowledge packs' that define the agent’s role, constraints, and behaviour. Cowork handles these really well when you have it reload them each session
Keen to collaborate with you on this custom agentic system and compare notes! If you’re open to it, I’d love to take a look at your project folder and
README.mdor equivalent docs you’ve put together.P.s. I'm running a local Ollama instance on an older RTX destop with 64GB of RAM and it's still paaainfully slow once youre used to having a cloud connected datacentre running Opus/Fabel!
Hope it's a big birthday cause you'll need a LOT of compute :-)
Stefan
My experience is similar to yours. I started before you, and back then there was actually no client app support for connecting to the MCP server because MCP was only a couple of weeks old—it mainly existed in documentation and had initial library implementations for both the server and client. Because of this, I looked for an AI client supporting MCP and found Cherry Studio. I will write some posts about the parts you are interested in, but sometimes it is better to struggle and learn from your mistakes.
layteruk10
Thank you. I've been running it live today and very please with how it is working. I still need to understand much more but bfexplorer is vey flexible. I've not looked at running local LLM yet. I have Ollama downloaded but my focus was in having a bot running first. I may need a PC upgrade with LLM. I will see. Fortunately it is my birthday soon :-). I tried a nimber of ai client applications. Most I found disappointing with repetitive errors. Claude was easiest for me to work with but I had to be very specific to ensure it did not "forget" what I was trying to do. I made claude read and summarise information for it to use as quick reference. I learned to be very specific with wording on messages for what I wanted and also when starting a new task I asked clause to commit to memory any background research or help documents before starting. If I started again it would take me a lot less time to have the same results. I will advise on local LLM when I have investigated.
layteruk10
I just posted "Wiring an AI agent into a Betfair trading desktop" so if still not working let me knoe and I will see if I have anything to help.
Stefan
I am highly impressed with how you integrated bfexplorer agentic support using the Claude LLM and your strategy execution pipeline that incorporates market data context processing, as any robust strategy must be driven by verifiable data.
Have you also experimented with local LLMs or different AI client applications/harnesses?
Stefan
A simple test to verify that the bfexplorer MCP is running correctly involves using the 'modelcontextprotocol/inspector.' To do this, run the following command in your terminal:
npx @modelcontextprotocol/inspector
After setting up the bfexplorer connection, you will be able to test all available tools without requiring an LLM.
Stefan
Because you used Claude Desktop, I noticed it has a poor user experience for setting up the local MCP server. Please refer to this document, which shows how to set up the MCP server on client apps.
Bfexplorer MCP Client Application Setup
Stefan
Thank you for letting me know about the issues with my website.
I run my site on a Windows Virtual Private Server hosted on FORPSI, which costs me approximately 500 Euro annually. This is currently a side project for me, and since I only have around eight paying users, it does not make economic sense for me to invest in something more reliable. Everything has an associated cost; therefore, I currently do not have a security certificate for my website or a separate certificate for the desktop app.
I plan to move the app to the Microsoft Store, as this would potentially provide a free certificate, but I am unsure if a betting app of this nature would pass their Terms and Conditions (T&C). For now, I have removed the installation file for bfexplorer from my server because its presence could cause server timeout errors when more people attempt to download it.
Of course, no service can be 100% reliable; occasionally, the cloud provider restarts servers or network issues can affect web app accessibility. The server also requires periodic restarts, especially after critical updates that necessitate a reboot.
I personally use the Chrome web browser, and I have not encountered any issues with my website while using it. I also run several related sites for bfexplorer, including my main site at Bfexplorer - Betfair Trading Software, which I created for my Reddit community, Betfair AI Trading: https://www.reddit.com/r/BetfairAiTrading/. Furthermore, you can view my supporting GitHub projects here: my community repository is https://github.com/StefanBelo/BetfairAiTrading and the Bfexplorer BOT SDK project is https://github.com/StefanBelo/Bfexplorer-BOT-SDK.