Hi, great video! But shouldn't your trading logic be another way round? I thought we're supposed to buy (enter a position) when cmo < oversold_value and sell (close the position) when cmo > overbought value?
@datadrivendecisions03 жыл бұрын
Yes you're absolutely right Poch! I'll be addressing this in my next video :) I've finished writing all of the code and I'll be publishing my video of the Terraform deployment with $500 to play with!
@wieowe3 жыл бұрын
Absolutely love your presentation style! It's informative, at the right pace, you show your thought process and all of that with a good sense of humor. Looking forward to a part 2!
@datadrivendecisions03 жыл бұрын
Thank you very much Gideon! Part two is in progress so sit tight! Let me know if there’s anything you’d like me to explain in more detail
@karolinasowinska3 жыл бұрын
Great energy and content! Keep it up!
@datadrivendecisions03 жыл бұрын
Thank you for your help and advice on navigating KZbin Karolina!
@ananthrao78023 жыл бұрын
Great to have discovered you sir! Thanks for sharing your knowledge
@datadrivendecisions03 жыл бұрын
Thank you Ananth! I look forward to sharing more knowledge with you 🔥🚀
@samanthawise99583 жыл бұрын
Looking forward to part 2!!
@datadrivendecisions03 жыл бұрын
Thank you Samantha! Can’t wait to get it online 🚀
@ricardomarchao54353 жыл бұрын
great vibes! ...the backtest doesn't beat the benchmark on absolute returns, but may beat the benchmark on sharpe ratio or sortino, kalmar ratio...a higher sharpe ratio than the benchmark, for example, means you can use leverage to get the same absolute returns as the benchmark with less risk
@datadrivendecisions03 жыл бұрын
This is true! I forgot about the important of those ratios in the video! You would definitely be taking on some more risk with that leverage as well!
@datadrivendecisions03 жыл бұрын
Yo - quick update. I got the graph working (had my axis set from -10 to 10 and had my initial capital at 1000 lol) and I've fixed a bug in the requirements file which would've slowed you down in the venv creation. The README has also been updated with clearer instructions to help you get started! Let me know if you have anymore questions. Part two coming this month!
@datadrivendecisions03 жыл бұрын
Hey everyone! Part two is coming in May where we're going to go over how to optimise your trading strategies before deploying the bot into an AWS account. Leave a comment if there's anything specific that you'd like me to cover in these videos. Thanks for all of the support!
@trin72863 жыл бұрын
The vdo is well made. well done mate. 71 subscriber :)
@datadrivendecisions03 жыл бұрын
Thank you! Welcome to the show
@datadrivendecisions03 жыл бұрын
Thanks for watching! Let me know if you've got any questions! 00:00 - Intro 02:30 - Background Theory 04:57 - Backtesting Engine 13:14 - Calculating CMO 22:55 - Trading Logic 30:20 - Outro
@wesley122713 жыл бұрын
This vid is fire, count me in, the 64th sub
@datadrivendecisions03 жыл бұрын
Thank you Wesley! Looking forward to sharing part two and more with you soon!
@futbolfan38033 жыл бұрын
Please go over the 'part 0' where you set up everything if you get the chance, thanks very much! :)
@datadrivendecisions03 жыл бұрын
Hey Futbol Fan, here is the part 0 for the setup! kzbin.info/www/bejne/pmbKfaalmZmgq8k
@futbolfan38033 жыл бұрын
@@datadrivendecisions0 Ah of course, thanks very much I don't know how I missed that haha!
@datadrivendecisions03 жыл бұрын
No problem! Let me know if you’ve got any other questions
@futbolfan38033 жыл бұрын
Would love to hear about your 'value bet' identification Python algorithm :) Great video
@datadrivendecisions03 жыл бұрын
Definitely coming in a future video! I've spent two years on that project and I'm keen to share what I've learned
@futbolfan38033 жыл бұрын
@@datadrivendecisions0 Fantastic, can't wait! :)
@albertdiezhandino70722 жыл бұрын
great video....lets see part 2]
@bhavaybsingla2 жыл бұрын
can we please get a part 0 of this video.. would really love to learn the basics from you❣
@datadrivendecisions02 жыл бұрын
There’s a part 0 on my channel! Check it out
@ludefi24658 ай бұрын
Thank you for the video. Does this work only with spot trading or can we use it to create bots for futures trading (with leverage)? (In binance, poloniex, etc…)
@franciscoFEUP3 жыл бұрын
Hi Can you please make a video helping how to setup Pycharm and to download and install gemini through Pip. I'm also using macOs. Thanks
@datadrivendecisions03 жыл бұрын
Absolutely Francisco - I'm currently editing a video introducing a new project (a Spotify ETL data pipeline), so I'll shoot the setup video for you after I've realised that video!
@jeepjr3 жыл бұрын
congratulations on the channel and video, I wanted your contact because I am wanting to set up a grid robot that will act according to RSI would have and have the function of dragging upwards?
@datadrivendecisions03 жыл бұрын
Thank you Dimitry! What’s a grid robot? And what do you mean that the function drags upwards?
@max_bb9213 жыл бұрын
love it
@datadrivendecisions03 жыл бұрын
Thank you!
@patrickwalsh1154 Жыл бұрын
Hello, great videos! I'm running the code in a Windows environment but am receiving this error: in _get_single_key raise OptionError("Pattern matched multiple keys") pandas._config.config.OptionError: Pattern matched multiple keys Would you have any ideas on this? Thank you for your time.
@kevinfernandez3152 жыл бұрын
Initially tried following along, and noticed my graph doesn't output trading data for cmo. I then decided to clone the repo, and when I run backtesting.py the same issue arises. No trades ever get made, total trades are always zero, although there are enough funds. Anyone got any pointers as to why?
@datadrivendecisions02 жыл бұрын
What’s your error message?
@abhinavslohiya14222 жыл бұрын
I am trying to get the data in the backtesting part, but it keeps saying "No module named scipy"
@datadrivendecisions02 жыл бұрын
pip install scipy?
@elitedragon67163 жыл бұрын
Im having problems installing gemini can anyone help me?
@alaaismail46663 жыл бұрын
how can i use Backtesting Engine on Binance?
@datadrivendecisions03 жыл бұрын
You'll have to pull a dataframe from Binance that replicates the one that is being passed through the engine in the video. But you don't need any sort of authentication to use Gemini so you can use it to backtest and then write your trading logic using the Binance API :)
@alaaismail46663 жыл бұрын
@@datadrivendecisions0 Thanks
@himanshurathod90942 жыл бұрын
Anyone is a coding programmer i need urgent
@datadrivendecisions02 жыл бұрын
What's up?
@antiporfavor2 жыл бұрын
Thank you so much for you patience and great knowledge!! I have 1 main issue on this code, even though I follow you in every single step: The program does not generate an html file with the graph. Therefore, I can not see the info displayed. Can all this be because I'm working with pyhton 3.8 instead of 3.6 like you do? Thank you!
@datadrivendecisions02 жыл бұрын
That’s built by the Gemini package, make sure you’ve got the latest version! It’s also worth playing with the repo by itself to get a sample html graph too