ฝัง
- เผยแพร่เมื่อ 7 ก.พ. 2025
- Learn how to build your first Python trading bot with this step-by-step tutorial! In just 20 minutes, you'll discover the basics of algorithmic trading and how to create an automated trading bot using Python. Visit my website for more: www.quantreo.com/
This video is perfect for beginners who want to break into algorithmic trading and automate their trading strategies. Follow along with easy-to-understand instructions and start your journey into the world of automated trading. Don't forget to subscribe, like, and leave a comment if you found the tutorial helpful.
🎯 Python code from the video: colab.research...
📚Take your free E-book: www.quantreo.com
🖥Alpha Quant Program (60% discount): www.quantreo.com
The video is about Build Your First Python Trading Bot: Step-by-Step Tutorial for Beginners but also tries to cover the following subjects:
Algorithmic trading for beginners
Python coding basics
Trading bot strategies
Build Your First Python Trading Bot: Step-by-Step Tutorial for Beginners | Quantreo
✅ Subscribe To My Channel For More Videos:
/ @quantreo
✅ Important Links:
👉 Website: www.quantreo.com/
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✅ About Quantreo:
Create your "Trading Strategies Factory" with the Alpha Quant Program ...
Are you struggling to code your trading strategy?
Are you struggling to backtest a strategy quickly and properly?
Are you struggling to verify the robustness of a trading strategy?
Are you struggling to convert you trading strategies into live trading bots on MT5?
Are you struggling to integrate Machine Learning in your trading strategies?
Are you looking for a premium Quant community?
IF YOU ANSWERED "YES" TO ONE OF THESE QUESTIONS, you should take a look of our Alpha Quant Program !
For collaboration and business inquiries, please use the contact information below:
📩 Email: lucas.quantreo@gmail.com
🔔 Subscribe to my channel for more videos: / @quantreo
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#tradingbot #pythontrading #algorithmictrading #pythonforbeginners #automatedtrading #tradingtutorial #tradingbots #learntrading
Disclaimer: I am not authorized by any financial authority to give investment advice. This video is for educational purposes only. I disclaim all responsibility for any loss of capital on your part. Moreover, 78.18% of private investors lose money trading CFD. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technologies, this work contains or describes are subject to open-source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. This video is not intended as financial advice. Please consult a qualified professional if you require financial advice. Past performance is no indication of future performance.
Copyright Disclaimer: Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use
© Quantreo
Do not forget that for the first 30 enrolled in the Alpha Quant program will benefit from a 60% discount ! 🎁 quantreo.com
Bonjour Lucas. I watched the video, very nice indeed and thank you for your effort. From what I understand concerning your course the purpose is to backtest with Python and trade with MT5? Am I correct?
Yes, and next month I will add live trading using IB and crypto exchanges
Thank you for sharing. I'm testing it tomorrow. For me it's very puzzling how all this works and how I can run this code on MT5 to do the trading. I don't know where actually to start ...
Hi JW, no problem! I’m happy to help😎!
If you are struggling to understand how all the different parts are connected? How to avoid to have overfitting problem using a walk forward optimization? Or how to put your profitable bot in live trading on MT5?
You sould really check our Alpha Quant Program (www.quantreo.com). This program answer all these questions and much more!
Btw: I you have any questions I’m here!
Why yfinance data cant be used to trade?
What is the difference between yfinance data and mt5 data????
Hi, I hope you are doing well!
The reason is very simple all FREE data sources where you can't place an order with it is garbage essentially for decentralized assets.
And I insist on a point, data from mt5 can mean a lot of things. Indeed, MT5 is just a platform connected to your broker. In other words, if you use a MetaQuotes Demo account the data will also not be optimal. Connect the broker you will use to your MT5 account, than extract the data. I hope it was clear. If not, please do not hesitate to ask again! If you are into the Alpha Quant program, you can ask me directly on the private community the answer will come quicker next time!
Have a nice day!
what is this difference from EA (trading robot) for MT4 and MT5 ?
It is nearly similar but you have less limitations in Python
How risky is a strategy like this and how much initial capital do you need?
Hi VAMP, I hope you are doing well!
Of course there we have no drawdown, CAGR, Sharpe ratio or anything else. The video is really for beginners that want to create their first bot to train themselves and start somewhere. Moreover after that you need to use a lot of tests to verify if the edge of your trading strategy is due to randomness or not (more precisely, to minis the odds that it is due to randomness).
If you want to know more about the correct way to create a trading strategy without overfitting, backtest it with the most recent technics such as the Walk-Forward Optimization and put your strategy in live trading using MetaTrader 5, you can check my website www.quantreo.com
PS: There we work with percentage, it means that to know your capital across the time you just have to take the percentage (x), add 1 (1+x) and multiply it by your capital. If you have 500$ to invest and you use the SMA strategy on the Bitcoin with 400% of return over the period, you will have 400/100=4 because it is 400%, we add 1 --> 4+1=5, we multiply by your capital 5*500=2,500$.
Trés bien!
Merci! N'oublie pas de prendre le template inclu!
Hi Thanks for your cool things. I would like to know more about information of the course. Now it’s 700$ right? And it’s lifetime?
Yes, exactly! The access is lifetime, we have currently, several new content that we are working on to offer you new contents in 2024!
How do i do bactesting and paper testing
Hi, you can do it using thousands of way. The one I use is the one I explain in the Alpha Quant Program (www.quantreo.com , templates included)
Not an expert on Pandas but why in the below lines of code are you filtering on Year?
plt.scatter(idx_open, df.loc[idx_open]["close"], color="#57CE95", marker="^")
plt.scatter(idx_close, df.loc[idx_close]["close"], color="red", marker="v")
as earlier up in the code section you have already defined 'idx_open' and 'idx_close' to be based (filtered) on the year 2019, i.e.
idx_open = df.loc[df["signal"] == 1].loc[year].index
idx_close = df.loc[df["signal"] == -1].loc[year].index
isn't the year filter redundant in the plt.scatter code above?
Other than that a good intro to Panda dfs and getting a basic strat defined in Python.
Hi, I hope you are doing well!
I just filter taking one year to have a better visualization on the graph. If we use the whole dataset, we have to much data and it becomes unreadable.
By the way, it is the last day to benefit from that, if you are interested by making quick progress in quant trading!
www.quantreo.com
@@quantreoyes but you created the filter earlier on in the code is my point.
Hi, i try to download the code but Error 404 :(
Problem solved
colab.research.google.com/drive/1Vtzsz21-cT_Qzy8WlAmfzhI9oseegLBy?usp=sharing
Error 404 to download the code
Problem solved!
colab.research.google.com/drive/1Vtzsz21-cT_Qzy8WlAmfzhI9oseegLBy?usp=sharing
Young Ruth Harris Kevin Clark Angela
Yup, code is gone
Problem solved!
colab.research.google.com/drive/1Vtzsz21-cT_Qzy8WlAmfzhI9oseegLBy?usp=sharing