#Trade #Stock #Money
#Trade #Stock #Money #Successfultradings
In this video, we introduce a new Trading strategy on How to Trade Stocks (Options) with no Money.
We leverage a Proven technique dubbed Gang$ta Day Trade where positions that be opened for as little as $1.
1. How To Get Around the Pattern Day Trader Rule: https://youtu.be/9ANSMi-XTqQ
2. Videos Examples of successful Gang$ta Trades:
* 10-Bagger Trade Win: https://youtu.be/3d5lHvfL1FI
* 1260% Win Trade on BABA: https://youtu.be/cQ5dBj-Ng54
* NKLA Big Gang$ta Day Trade Win: https://youtu.be/LLCw8Z2VmeI
* One More: https://youtu.be/2nnt_lPjqR4
Read Full Article: https://successfultradings.com/confessions-of-a-day-trading-gangster/
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We introduced an Easy Technique on How To Trade Stock (options) with no to little money.
In this Python tutorial,
In this Python tutorial, Dr Tom Starke demonstrates how you can implement technical analysis using real market data, and generate trading signals from technical indicators such as Doji, Bollinger band, dual-moving averages, as well as analysing the resulting performance (e.g., position size, profit and loss). All using just several lines of Python codes!
How to install TA-Lib:
This article from Quantinsti https://blog.quantinsti.com/install-ta-lib-python/) seems to be the most promising way to install TA-Lib anywhere.
However, for alternative suggestions, follow the guidelines in this link: https://mrjbq7.github.io/ta-lib/install.html.
To learn more on using Python for quantitative finance and trading, as well as getting the Jupyter Notebook for this tutorial, check out our Udemy course at: https://www.udemy.com/course/python-for-traders-and-investors/learn/lecture/18315580?referralCode=D26278FF40FCB735C68C
Udemy Course---Quantitative Trading Like a Pro: Essential Python Course---Learn the foundations of algorithmic trading and build your own trading systems
Be sure to apply the coupon code found here: http://aaaquants.com/courses/
My website: http://aaaquants.com/
My LinkedIn: https://www.linkedin.com/in/dr-tom-starke-a0a9a3b3/
Thank you, very useful.
Pretty nice demonstration. Keep doing good job.
Very helpful tutorial!
`pip install ta-lib` will fail unless the library has been installed, the 2nd link above or the github README have good instructions to do this.
Hello! Why do yo use .values? Is it necesary?
TA Chart review Class, the
TA Chart review Class, the right way to trade.what is the technical analysis.