QuantStats: Portfolio Analytics with Python Tutorial

[@parttimelarry]

If you like this video and want to support the channel: Buy Me a Drink: www.buymeacoffee.com/parttimelarry Also, I will be starting a spinoff channel on AI in music, art, and gaming in 2023. Subscribe at: youtube.com/@parttimeai Source Code: github.com/hackingthemarkets/quantstats-demo Buy Me a Coffee: buymeacoffee.com/parttimelarry Follow Me: twitter.com/parttimelarry

[@brightosisiogu2626]

Wow! Larry! You are aging backwards! So much fresher and younger! Thanks for yet another amazingly educative content.

[@rajpillai865]

Thanks!

[@Caminovic]

Hi Larry, nice to see you back!!

[@Patiencelad]

Great stuff! Thanks for putting this together. I actually needed to use this with a custom return stream, and although you didn't go into it, seeing you delve into the code helped me find what I needed.

[@alihobballah]

This is amazing content !!! quality presentation ! Thank you for making this video.. It's so useful !!!!

[@idevbrandon]

I love it and learnt so much from you. Thank you! Have a good day, bro :)

[@PavelSumik]

Larry is just a leader in programming, my incredible admiration, I send greetings

[@FRANKWHITE1996]

Thanks for sharing! 👍

[@javadvahedi6278]

Many thanks for your great channel. The video on quantstat was great. A suggestion for next video, would you please have a video about amix strategy based on two indicators, SSL and QQE.

[@revenge9431]

Special thanks to Ran Aroussi and PTL as well!

[@rithirongk]

very informative, thx.

[@richardchu1593]

Hi Larry, unrelated to this video, but I would like to suggest some potential ideas for future video series/topic: (1) News to Penny Stock Day-Trading: A SQLite database to fetch and store a list of penny stock news for the day during pre-market from TD Ameritrade, than maybe quickly run a NLP against the news articles to return 1 to trade, 0 to pass. Same concept can be applied to Crypto/Binance?

[@NoToBusinessCasual]

Great topic.

[@DevAtul]

Hi Larry, Thank you for such a good content on Python and finance. I am binge watching your videos. I have a request. There is a paper by Jegadeesh and Titman where they are showing the efficacy of Price momentum and somewhat disproves "Efficient Market Hypothesis." Can you create that portfolio and backtest using Python? Thanks.

[@Ro1andDesign]

Hi Larry, interesting video yet again! Can this library also plot dynamic portfolios and strategies, so non buy-and-hold? E.g. combine this with the ARK invest etfs, but through time based on changing holdings within the etf/portfolio Would love to see it!

[@samueltamayogaviria3377]

hello, is there any way to import a csv with the returns of a personal trading strategy?

[@vdzneladze1]

Larry thank you for great tutorial. I began to worry about 3 weeks pause.

[@insected83]

hot off the press!

[@franky12]

Great tutorial. I would be interested to know if and how quantstats can also be used for dynamic portfolios, e.g. to analyze trading strategies in backtesting.

[@thomas2004ch]

Interesting! But it seems the portfolio is simply buy and hold. How about if I simply use the SMA cross over strategy? It would be very nice if you could give such an example.

[@illsdom6055]

Is it possible to do a portfolio backtest on the asset allocation of the stocks?

[@franky12]

Do you know the *PyPortfolioOpt* python library that implements portfolio optimization methods?

[@moeunit676767]

What did you do at 8:31 to highlight and change everything green. Sorry I am a novice. Thank you

[@parttimelarry]

I commented out all the selected lines by pressing command and /

[@moeunit676767]

@@parttimelarry thank you so much for answering. Subscribed and cant wait to watch more content. I am going to do a little more walking before i run after this but I want to complete it so I apologize for another question. I copy and pasted your code for charting GLD and got this error " File "C:\Users\willi\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\core\ops\invalid.py", line 36, in invalid_comparison raise TypeError(f"Invalid comparison between dtype={left.dtype} and {typ}") TypeError: Invalid comparison between dtype=datetime64[ns, America/New_York] and datetime"

[@saviocoelho6229]

Is your portfolio analysis code still running? I tried to make one, but the .utils.make_index function is giving the TypeError: unsupported operand type(s) for +: 'float' and 'str'. This is my code that caused the error: import quantstats as qs qs.extend_pandas() IAC = {"SPY": 1.3, "AGG": -.3} portfolio = qs.utils.make_index(IAC) I even tested with other ticker combinations and directly entering the ticker and weights in make_index and the error repeats in the same way. I also tested in previous versions and the error repeats again. Does anyone know if there is an error in the package or is it my code?

[@darshitsarda9632]

same error

[@davidreeves8382]

@@darshitsarda9632 - i reproduced the same error

[@theodorelee4383]

I was getting this error "Expecting value: line 1 column 1 (char 0)" when running the FB returns query. This is due to having an antiquated version of yfinance, if you're getting the same error just update yfinance using "pip install yfinance --upgrade" love the channel!

[@AlexeyZubkov]

can you pull data of standard % move prior earnings of company?

[@kuatroka]

Hi, Thanks for the video. A slightly tangential question, but I’m asking since you’re very versed in the Python trading topic. Can you recommend a Python module that analyses the actual transactions? Not the forecasted portfolio earnings based on the past stock price, but something like where I can give it a parquet/csv file with a list of transactions( ticker, entry date, entry quantity, entry price, exit date, exit price) and the Python module would analyse and spit out the profit / loss data. Even for cases where I’m adding or reducing a position with the same ticker or enter and exit the same ticket multiple times for different time periods ( month, quarter, year) So I could see what was my best, worst transaction, etc. Thanks

[@parttimelarry]

I'm planning to do a trading journal project where we build something like this, but am working on the machine learning content now. I'm not sure about existing modules for this, I would just write some Python that loads your CSV into a pandas dataframe and do calculations on it there. Or if you don't want to code it yourself there are some existing journal SaaS apps that are free if you make your trades public.

[@kuatroka]

@@parttimelarry Thanks Larry. It's surprising though that there aren't any big name module for this. Tracking transactions seems like a pretty typical and extremely important investment/trading activity. I think I just need to scout github more conscientiously. Thanks

[@orafaelgf]

Great a video. Normally you share the code in anywhere? Or another doubt, is possible to show in chart the lines each tickers separated?

[@emskiphoto]

Thanks to Larry and Ran Aroussi

[@NoToBusinessCasual]

Are we bound to get price history from QS? Can we loop through our own set of Ticker files?

[@nima8830]

Well done Larry. Are these concepts applicable to intraday algorithmic strategies?

[@parttimelarry]

This is a long term portfolio analysis library, so not for short term trading

[@karthickb1973]

i am trying to workaround simply by cumulating intraday returns to daily returns

[@davidreeves8382]

i tried the index - using META instead of FB and I get the error message: TypeError: unsupported operand type(s) for +: 'float' and 'str'. Any ideas?

[@thomasforsythe9951]

How do I use a specific date for benchmarking?

[@jessojohn9226]

can you do a video on integrating backtrader with quant stats to produce performance report?

[@safishajjouz166]

There is a caveat. The library does not download adjusted close prices. So, you should be careful of what returns we are talking about.

[@alexanderfiner7552]

Awesome work Larry - the only thing is I don't see the code on github :(

[@parttimelarry]

Hey thanks! Oops, just pushed it: github.com/hackingthemarkets/quantstats-demo

[@alexanderfiner7552]

@@parttimelarry Thanks man very much appreciate it. I work as an assistant investment analyst, I love the bit about even managers can understand the code, it's actually a very accurate statement haha. These tear sheets or known as factsheets, are valued by highly clients, but often it's necessary to explain each aspect of the metrics used etc. I've run the code you've uploaded, the only error I get is ---- FileNotFoundError: [Errno 2] No such file or directory: 'output/gld.html' / No such file or directory: 'output/fb_earnings.png' - maybe I need to change a directory somewhere?

[@parttimelarry]

​@@alexanderfiner7552 hey, if you copied down individual scripts, I would create a directory called "output" in the same directory where you are running the script. or you can remove the "output/" part of the path and it will write the files to the same directory.

[@alexanderfiner7552]

@@parttimelarry Thanks soo much mate

[@patite3103]

Thank you for the video! For the code "fmaga = portfolio = qs.utils.make_index(tickers)" I get an error: module 'quantstats.utils' has no attribute 'make_index' Could someone solve this problem? Thanks

[@danielrv1325]

How do you change the date to download the data? I tried to change period to a data and it is not working

[@XeitoX506]

Hi Larry, could you please explain how to configure a strategy with technical analysis indicator combine with this tool? Great video 👍🏻

[@xxmrfreexx]

Is there anyway to accept work as lancer ?

[@mr.gk5]

Does this work with foreign stocks?

[@corteman]

I wonder if it works with futures/micro futures...

[@AirForceA7x]

What Reddit chat did you find this package?

[@andala-r4v]

Is this code still running? I keep getting errors.

[@rancholaflorida1168]

Your fundamental analysis it's sucks , but your code it's clean and powerful

[@Sam-lx1lu]

Getting this error for some of the code snippets: from : qs.reports.html(stock, title='Test', output='output/TSLA.html') Exception has occurred: TypeError DataFrame.pivot() takes 1 positional argument but 4 were given File "C:\Users\Samue\Desktop\Python\PY.py", line 10, in qs.reports.html(stock, title='Test', output='output/TSLA.html') TypeError: DataFrame.pivot() takes 1 positional argument but 4 were given