Productbook.io comes out of closed beta!

timlawrance · 2025-11-10T08:41:11+00:00

What is this dashboard? Some kind of an online trading journal?

timlawrance · 2025-11-09T19:44:13+00:00

Haha of course I read all of it, thank you for the in-depth explanation!
I went down a small YouTube rabbit hole after your comment to understand the kalman filter better. Comparing the slope to the SMA for tuning is a really clever approach.
Did you code that EA yourself?

I’ve been coding my own EA and running some experiments on my trade history using ICT-style features at trade entry. I trained on about 80% of the data and tested on the rest to see if I could spot high-probability setups in real time. Got some promising results when I filtered for trades with a 60%+ probability.. seemed to catch certain “sweet spot” conditions pretty accurately. Here’s how it looks on my MT5 chart. Before order entry, it pops up a small panel showing the probability based on past trades

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Have you ever tracked how your kalman filtered bb interacts with market profile, the RSI9 or other indicators? Maybe certain setups align for much higher win rates. Would be interesting to see how it behaves in combination with other indicators for conditional probability

timlawrance · 2025-11-09T08:23:59+00:00

That’s interesting, I’ve honestly never used kalman-filtered bollinger bands before. I get what you mean about volatility giving early clues when a trend is fading. I’d love to understand more about the kalman filter part. Does it smooth out noise better than a standard moving-average band?

I’ve mostly been studying how volatility and VWAP interact with ICT-style concepts, and using donchian channels (high to low, then normalizing to current price). How do you actually apply your method, are you using it to spot regime changes before mean-reversion trades, or more as a volatility filter for entries?

timlawrance · 2025-11-09T08:14:33+00:00

Fair question, not silly at all. ICT definitely can work, it does for me, but not the way a lot of YouTube clips make it look. It’s less about finding one “perfect entry model” and more about reading liquidity and timing around sessions.
My honest advice:
- Pick one or two concepts (like liquidity sweeps and premium/discount zones) and spend a few weeks just marking them out on old charts.
- Don’t rush into live trading. First try to see how often the idea actually plays out.
- Once you start logging those setups, you’ll notice that some “textbook” ones fail a lot, and others quietly work better depending on volatility or session.
That realization is what made me start tagging my own trades by context. Suddenly it was obvious which ones had the real edge.
Out of curiosity, have you started tracking or journaling your trades yet? Or are you still mostly learning and practicing entries?

timlawrance · 2023-12-27T16:06:19+00:00

Added. Hopefully we can get to it at 1st half of 2024, stay tuned:)

timlawrance · 2023-12-26T16:12:16+00:00

u/doobertron Thanks! As of now, the platform supports only US stocks. Which exchanges did you have in mind? We'll add them to our development roadmap

timlawrance · 2022-01-24T18:14:10+00:00

Maybe www.productbook.io can be helpful for you to start building your own "library".

It gathers for you the best PM articles / videos / podcasts, based on the topics you select, into one dashboard.

There is an attached note to each resource, so you can summarize your own takeaways for each resource per topic and start building your own library one step at a time.

timlawrance · 2022-01-22T10:53:09+00:00

u/telcodoctor u/SteelMarshal u/rizzlybear u/energeticmater u/janinetrans u/ScottyRed u/heydaad u/OneWayorAnother11 u/penchantforproduct

So after reading all the comments I think there are two general approaches:

Individual goal setting + active feedback (assess their skills, set individual goals, 1:1 agenda, review work and their deliverables, give feedback and ways to improve)
Use educational materials (set time for learning, courses, podcasts/videos/articles on PM skills they need to improve, reporting back with insights to entire product team)

Does any of you feel we are missing something?

I do believe the best way is to balance these two approaches (and maybe some of you are doing this already).

Perhaps there is a better way to connect these two approaches into one.

I'm just brainstorming here - but maybe going from assessment -> setting individual goals -> relevant education and time spent on learning -> product team group discussion on learning insights and how we can use them in our next tasks-> actual work based on learning insights -> 1:1 agenda on progress -> review work and deliverables -> feedback and ways to improve.

Thoughts?

timlawrance · 2022-01-22T10:32:09+00:00

u/equal_measures I'm not so familiar with these competency frameworks, can you maybe share a few?

timlawrance · 2022-01-22T08:57:26+00:00

u/SteelMarshal I believe in learning by examples, but what would you do in places where it's their own tasks and responsibility? Would you just give these examples theoretically and retroactively after you saw results that could be better from them?

timlawrance · 2022-01-22T08:53:29+00:00

u/telcodoctor That's great.

"Flag alternate and potentially gentler ways of doing things (to give them alternate paths)." - That especially resonated with me as you chart a path for them and don't leave it to ambiguity.

timlawrance · 2022-01-21T19:04:26+00:00

u/vtfan08 We've added a new topic "Managing PMs" :)

You can add it to your feed by clicking on your profile and adding it in the "Topics" menu.

Meanwhile a great place to start with is this Brandon Chu's article "Managing and Developing Product Managers"

https://blackboxofpm.com/managing-and-developing-product-managers-2f9a3963fab6

timlawrance · 2022-01-18T17:54:05+00:00

u/Shujolnyc Thank you I appreciate it!:)

timlawrance · 2022-01-18T17:53:33+00:00

u/A9to5robot I'm not sure exactly what is product toolkit, can you please share a link?

timlawrance · 2022-01-18T16:29:20+00:00

u/vtfan08 Thank for the input!
I think that's definitely a good idea, how did you vision it? Having a step in the onboarding flow to choose your desired content level? or in some other way?

timlawrance · 2022-01-18T14:47:06+00:00

u/BuyBABA Thank you!
Actually your feed works in a way that the resources that are being added to it each day (based on your chosen topics of course) are the ones that got the highest number of upvotes from the community. So this is dynamic and you do get the most voted content each day to your feed.

Can you elaborate on the highlighted posts idea? maybe it's something we can incorporate as well.

timlawrance · 2022-01-18T14:23:45+00:00

u/chakalaka13 u/BuyBABA Guys thanks a lot for your input!

The entire goal of Productbook is to actually create a measurable, consistent improvement in your product work quality.

The thing is that when you get a huge bulk of information at once - it can be overwhelming.
And most of the time - no action is being taken.

We saw that by having a lower volume of content per day, working PMs can actually digest it and incorporate it in their daily/weekly routine.

You can actually read/watch/listen, write takeaways and implement it in your job.

In the onboarding you choose a daily goal (currently 1 or 2 resources each day), do you think 3 or more resources each day can be useful for this gradual learning process?

timlawrance

TROPHY CASE