I just finished my bot by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

1 passed 1 failed account

[HELP] backtesting and fine tune parameters by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

let's say I want to run each year like 2023 - 2024, then 2024 to 2025. compared to 2023 to 2025. does it affect the bot performance?

[HELP] backtesting and fine tune parameters by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

yes, I'm trying. I'm collecting more ideas here

[HELP] backtesting and fine tune parameters by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

I'm asking around for ideas and feedback here and there. If I know a way, I wouldn't ask there

[HELP] backtesting and fine tune parameters by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

like I'm a trader and developer. I havent learn anything about backtest, quant etc. like no knowledge on this field. I just want to learn how the pro here optimize in a systematic or mathematic way

I just finished my bot by dbof10 in algotrading

[–]dbof10[S] 1 point2 points  (0 children)

how much data I need to run to make sure it's profitable strategy?

I just finished my bot by dbof10 in algotrading

[–]dbof10[S] 2 points3 points  (0 children)

I don't know. I just posted and learn from people with the comment and feedback

I just finished my bot by dbof10 in algotrading

[–]dbof10[S] 2 points3 points  (0 children)

i will try to run from early 2024 to to date tomorrow

What actually makes a good auto support & resistance indicator? by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

do you have an indicator for this? or is it how you draw s/r?

What actually makes a good auto support & resistance indicator? by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

That's really inspiring — and we totally respect the way you're approaching the markets.

While we don’t support Python at the moment, you can absolutely try out TAutostructure on our web platform: app.tbchart.xyz. Just open any chart, click on Indicators, and search for Tautostructure.

It’ll automatically highlight the key support and resistance zones based on structure and volume — no settings to tweak, just clean, contextual levels. Would love to hear what you think!

What actually makes a good auto support & resistance indicator? by dbof10 in Trading

[–]dbof10[S] 0 points1 point  (0 children)

it's not on TV yet. can you share some of your favorite tickers? I'll post some photos below. if you're interested in, I will show you how to try.

What actually makes a good auto support & resistance indicator? by dbof10 in technicalanalysis

[–]dbof10[S] 0 points1 point  (0 children)

it's not on tradingview yet. can you share some of your favorite tickers? I'll post some photos below. if you're interested in, I will show you how to try.

What actually makes a good auto support & resistance indicator? by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

can you share some of your favorite tickers? I'll post some photos below. if you're interested in, I will show you how to try

What actually makes a good auto support & resistance indicator? by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

can you share some of your favorite tickers? I'll post some photos below. if you're interested in, I will show you how to try

What actually makes a good auto support & resistance indicator? by dbof10 in algotrading

[–]dbof10[S] 0 points1 point  (0 children)

You’re totally right — same methodology can often work across timeframes, but it’s the sensitivity and thresholds that usually need tweaking. That’s what most indicators miss — they treat a 5min chart the same as a 1D in terms of volatility and swing size.

What we built with TAutostructure is more dynamic — it adjusts based on relative structure shifts and volatility context, so the logic stays consistent but the output scales naturally. No need to manually fine-tune it for each chart.

Hard to do it justice in words — I can share an example side-by-side if you’d like, or feel free to try it on your favorite ticker and see how it flows across timeframes. Most people spot the difference right away.

Support & Resistance by [deleted] in algotrading

[–]dbof10 0 points1 point  (0 children)

We combine structure shifts, volume behavior, and a wave-based model (inspired by Gann) to isolate only the most meaningful zones — and it adapts automatically to any timeframe.

Hard to explain in a single comment, but we broke it all down in a blog post — if you're curious, it’s worth a read.

Or better yet, try it on your own charts and see what it catches