u/abhijith1203

I have been working on CAN DBC Utility v2 for the last 3 months.

The biggest reason behind it is simple. I use Linux, and finding a CAN tool that actually feels good to work with has always been annoying.

Most tools I tried felt awkward, heavy, or just not built with this kind of workflow in mind.

So I started fixing that for myself.

During this time, I moved the app from PyQt to Tauri and started adding dark mode too. Dark mode matters more than people think when you are staring at CAN data for hours. It just makes the whole thing easier on the eyes.

I am still working on v2, but this rebuild feels like the right direction.

For me, this was never about making a flashy tool. It was about making something I would actually want to use every day on Linux.

Get the latest version here if interested: https://github.com/busaudit/dbcUtility

Thanks :)

Note: Image 1 and 2 are from DBC Utility v2. And the last is from DBC Utility v1.0.3 (pyQt version)

Edit: Thank you all for showing the support. It really helps.🙌

For a long time, I wanted one thing that always felt strangely hard to find: a trading workspace that was clean, fast, local, and actually built around the way I like to work.

I did not want tabs everywhere.
I did not want to keep switching between tools.
I did not want something that felt bloated or noisy.
I wanted a desktop setup that could do the heavy lifting on my machine, stay private, and still give me everything I needed in one place.

So I started building TraderOS.

At first, it was only for me.

I wanted a place where I could test strategies properly, understand performance clearly, track trades better, and keep market information close without turning my setup into a mess. I wanted something that felt like mine. Something that gave me clarity instead of clutter.

That is how this started.

Over time, it became more than just a personal project. I kept adding things that I wanted to use myself, and slowly it turned into something I genuinely enjoyed working with. At some point I thought, if this is helping me this much, maybe it could help others too.

Right now, TraderOS includes:

- A robust backtest engine for custom JSON strategies
- Leg builder support for multi-leg strategy logic
- Indicator-based rule handling
- In-depth analytics
- cumulative PnL
- trade calendars
- drawdown tracking
- Live market heatmaps
- An integrated news desk
- Paper trading via Indian brokers
- A local database for secure storage
- A Python runtime for fast, local execution

And this is still just the beginning.

There are more features I want to add, more ideas I want to build, and more polish I want to bring into the product. I am not treating this like something finished. I am treating it like something that can keep growing into a better workspace over time.

That is honestly the part I like most.

TraderOS started as a personal need.
Then it became something useful.
Now it is becoming something I am proud to share.

I am still building it step by step, and I have a long list of things I want to add next.

More is coming.

I have been working on a trading dashboard for algo testers, and it is slowly turning into something I am genuinely proud of. 📈

It is designed to help traders organize everything in one place, including:

- Market view with heatmap
- Fresh general market news
- Strategy building
- Backtesting and performance analysis
- Paper trading, still in progress
- Importing broker reports for analysis

The analytics side is also shaping up nicely. It shows things like cumulative PnL, strategy-level performance, a backtest trade calendar, and recent trade history.

One thing I want to make clear is that I do not build strategies for users. What I do is help them implement their strategy inside the tool, so they can build it themselves and backtest it properly.

Building this alone has not been easy, but it has been worth it so far. I plan to release a beta for a few clients soon so I can improve it further based on real feedback.

If anyone is interested in trying it out, feel free to DM me. And if you already have a strategy idea but have no clue how to code it, I can help you implement it too.

Peace ✌️

Edit:
Unlike other apps/ websites like Algotest, Everything here is running local as it's a Desktop app. What you build is saved in a local db. You can even import your own historical data and import the strategy from Algotest as well. Only requests that's being sent to my server is Auth, historical data fetch requests (if any) and updates to the app.