In today's video, we'll be
In today's video, we'll be analyzing a Youtuber called Computer Science and a video I stumbled upon where he uses machine learning to make stock market predictions with Apple's stock. I thought with Apple's crazy increase and then subsequent 20% correction after he published the video, that we should analyze if machine learning could REALLY predict stock market prices.
Please watch his video for a step-by-step of the code used in this video. He does one of the best jobs of walking through the code that I've seen. https://www.youtube.com/watch?v=QIUxPv5PJOY Please subscribe to his channel and leave a comment telling him you saw his video from my channel.
Here's the link to the previous video in my Machine Learning playlist: https://www.youtube.com/playlist?list=PLT8WeU5lHsiTzmcBnBZpMpRiwsl2_5zJz
#stockprediction #Python #machinelearning
Good video. Basically, machine learning programmers/YT creators just discovered curve fitting for stock prices -- a bad idea that's been around for decades -- and have been repackaging it for clicks. People have been able to backtest and optimize any trade system to perfect past performance that completely fails in forward testing. Machine learning just makes the process faster. And as you said, it makes a really nice click-baity graph with visions of some AI making you rich.
I am putting all my fortune in on A.I.!
Hi, how could I get for example 10 future predicted prices and plot them in the graph, not just the one price for tomorrow/today to see how accurate is the model in the future prices. Thanks
Program it to predict the Power Ball numbers next please!
EP 131: Strategy
EP 131: Strategy development—powered by machine learning w/ Morgan Slade
Morgan Slade is the CEO of CloudQuant. His career as a trader and portfolio manager began 20-years back, and since then he’s worked at many prominent firms and funds. To name just a few; Millburn Ridgefield, Merrill Lynch, Citadel and Allston Trading.
During this episode, Morgan explains his views on 'common' strategy development methods and offers an alternative 3-step formula. Plus, we discuss how machine learning fits into a traders toolbox and why it has the capabilities of increasing performance metrics.
Hey guys! please take a minute to contribute to my campaign to succeed in Forex and Save the World! https://www.gofundme.com/want-to-start-a-new-career
Chat With Traders is simply the best place for trading education. If you're new to trading, this is it. Amazing work Aaron.
It's funny to me how many highly educated and very experienced Quants spend all their time, effort, knowledge, antiquated tool's and research trying to rationalize the optimization of their incorrect models instead of simply trying to find the correct model.
The Wright brothers proved this point when they spent many years trying to create a flying airplane that flapped it's wings much like the birds they observed. Only when where ready to give up, they decided to go with their gut instincts and go with a completely different model using angled wings and a propeller engine did they finally get 12 minutes of flight. Their model design didn't make sense but it worked.
I'm a Quant that wasted no time on statistical optimization and benchmarking metrics to determine how efficient or inefficient my models were. If it doesn't work the first shot it means you got the wrong model PERIOD!
When my next model worked on the first try, Bam! I knew I hit the jackpot. It is the perfect dead on model! 100 percent! Who ever said that there was no Holy Grail!!!??? Don't listen and follow those who have failed and claim it's non existence only because they believe they would have it if it did. They don't have it because they are imprisoned inside of their own mental box! Imagine all that PHD education wasted on a closed off perimeter of academic mines they are so afraid of breaching. Hahaha! It's like watching a bunch of monkeys that are programmed to perform in a circus. They don't even know they are invisibly chained within their boundaries forever! Hahaha!
High quality content!!amazing interviews!
We've seen fully
We've seen fully automated bot beats us in Go, one-on-one Poker and Dota II, now what's going to happen for trading financial markets? Listen to A.I. Capital Management sharing their research, a Deep Learning trading agent that over-performs us in trading FX markets. Marshall has been trading FX markets for 5 years. As a Master in Finance graduate from Brandeis International Business school, he combines his insight in financial markets with a passion for machine learning and expertise in programming, striving to build the first game-changing A.I. trading system to disrupt the markets.
He has a strong passion for quantitative trading and machine learning and started AI Capital Management in September 2016. His inspiration came from Google DeepMind’s AlphaGo project, which is a Deep Learning agent that beats human Go world champions. Go, as a game with complexity at a number more than the atom in the universe, is arguably as hard as or even harder than trading financial markets, which they believe is the next game to be solved with Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Love the takeaway message! When AI is developed we should shift our focus to defining the problems instead of trying to compete to solve the problem.
hmmmmm trading is not easy, neither for an AI
Muito bom. Vale a pena assistir!
Great Ted X Chat