Visualising your trade entries and exits using Plotly

We create a dashboard displaying our entry and exit signals for a given backtest using plotly. This helps us identify if our trading logic is behaving as expected.
Timestamps:
00:00 - Introduction
01:32 - Generating dummy trade data
05:24 - Plotting candlesticks
09:45 - Adding entry/exit markers to OHLC
20:27 - Adding a subplot with our indicator

[@shivammandrai7773]

Please continue making videos 🙏🙏

[@rayoh2011]

Thank you so much, Chad! It's such a great feeling to see my charts jump to life with your code! You're the best!
I hope your channel grows faster and bigger and earn more Ad income from RUclips!💙👍

[@rverm1000]

glad you made this because i have been trying to figure out how i was going to make this program for awhile now.

[@homealone75]

I like your content, very thorough and detailed. You definitely standout!

[@ack120]

perfect video from beginning to end. thank you

[@jerrywang3225]

Thanks for presenting a tutorial in such a detail.

[@wsemilio]

excellent tutorial! Thank you Chad!

[@megamorz1]

Great work! Thank you Chad!

[@mrmohamed5494]

I love your content. Keep it up!!!

[@christophehkg6056]

Fantastic tutorial, i learned a lot!

[@krissn8111]

Really love your videos

[@BOSprodz]

Great tutorial! How would we include something like the MACD in a subplot, considering it has multiple values for each x? (macd line, signal line, etc..)

[@LimYongBoon]

Thanks for the tutorial. Are you able to share your code?

[@heakjosh8805]

In the trade entry/exit logic pandas applymap can be used also ? In live trade after entry , target can be plotted & continued until trade closed ?

[@StableCoins_Collector]

Hello excellent quality content... Maybe you can help me with an idea, I'm stuck.. I am trying to create a map similar to coin 360. I need to show all the binance futures coins with their price variation in the last 30min. I have followed the logic: 1. Extract all USDT pairs enabled for trading. 2. Connect with websockets and retrieve the various variations. 3. Put this data in a Dataframe 4. Plot on a TreeMap I did not manage to unite everything so that the graph is automatically updated.

[@sukriadnansangadji8232]

How to find the code. I need it

[@nature_through_my_lens]

If trades are intraday, how do we skip showing the off market times?

[@ChadThackray]

There's an option for it in plotly to not show the gaps

[@sanjeevthanarasa3529]

Hi sir very useful video thanks and I have an idea can you do it sir. Forex trading using real-time data singnal identifier. There are many signal identifier in the market but we don't know its strategy. Can you create a candle stick pattern strategy using this buy sell signal identifier? This is useful for all people sir. Please think about it sir.