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| Name | How Financial Firms Actually Make Money |
| Video Uploader | Video From QuantPy |
| Upload Date | This Video Uploaded At 29-09-2021 07:00:01 |
| Video Discription | Today we discuss the common misconceptions of retail traders regarding the algorithmic trading or more commonly termed ‘algo trading’. Here we dive into why finding alpha in today’s financial markets is non-trivial, and conflicts of interest present in financial markets. Later in the video we discuss 3 trading strategies that are used as the foundation of most financial companies that participate in the financial markets. These strategies consistently make companies money and are the bedrock of companies providing financial services, or products in general. Let’s aim to be pessimistic when people online promise that someone/anyone with a novice level of python experience can create an algo trading strategy that consistently makes money. I will endeavour to never give in to this fallacy and aim to point it out to my viewers on this channel. ★ ★ QuantPy GitHub ★ ★ Collection of resources used on QuantPy YouTube channel. https://github.com/thequantpy ★ ★ Discord Community ★ ★ Join a small niche community of like-minded quants on discord. https://discord.com/invite/aY2Af4CxHP ★ ★ Support our Patreon Community ★ ★ Get access to Jupyter Notebooks that can run in the browser without downloading python. https://www.patreon.com/quantpy ★ ★ ThetaData API ★ ★ ThetaData's API provides both realtime and historical options data for end-of-day, and intraday trades and quotes. Use coupon 'QPY1' to receive 20% off on your first month. https://www.thetadata.net/ ★ ★ Online Quant Tutorials ★ ★ WEBSITE: https://quantpy.com.au ★ ★ Contact Us ★ ★ EMAIL: pythonforquants@gmail.com Disclaimer: All ideas, opinions, recommendations and/or forecasts, expressed or implied in this content, are for informational and educational purposes only and should not be construed as financial product advice or an inducement or instruction to invest, trade, and/or speculate in the markets. Any action or refraining from action; investments, trades, and/or speculations made in light of the ideas, opinions, and/or forecasts, expressed or implied in this content, are committed at your own risk an consequence, financial or otherwise. As an affiliate of ThetaData, QuantPy Pty Ltd is compensated for any purchases made through the link provided in this description. |
| Category | Education |
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