Build a Artificial Neural Network (ANN) with Long-Short Term Memory (LSTM) to predict value which can be impacted by multiple different features.
In this video I demonstrate how to use LSTM to predict Google Stock price (you can use any other case) by taking into consideration multiple predictors (features). Let’s say, the final stock price can be predicted by finding importance of such features as historical low price, high price, volume, adj. price, etc.
Link to github notebook: https://github.com/vb100/multivariate-lstm/blob/master/LSTM_model_stocks.ipynb
The video has 3 parts:
– Part 01. Data pre-processing (4:11)
| Step 01: Read data.
| Step 02: Data pre-processing (shaping and transformations).
– Part 02. Create a LSTM model and train it. (10:39)
| Step 03: Building-up the LSTM based Neural Network.
| Step 04: Start training.
– Part 03. Make future predictions. (13:50)
| Step 05: Make predictions for future date.
| Step 06: Visualize the predictions.
In this tutorial I used Tensorflow 1.15.0 and Keras 2.3.1
Download data from: https://finance.yahoo.com/quote/GOOG/history (check 1:59 in video).
This is real life Python code example for demonstration purposes, so the model is not very accuracy and of course could be improved or tuned.
My goal of this Python tutorial is to demonstrate how to perform LSTM predictions with multiple features (complex dataset).
Hoping it will help to undersant the way it could be implemented in real Data Science or Data Analysis projects. TIme Series forecasting with LSTM is the good choice if you want to manipulate with multiple different data features and see which ones has impact to predictions and which ones do not.
If you are interested how to run Tensorboard on this LSTM Keras model, check this tutorial: https://youtu.be/-9-Hy5dWKLE
Sorry for video quality. There were some unexpected issues with resolution. Video Rating: / 5
This video is about how to predict the stock price of a company using a recurrent neural network. We will learn how to create our features and label and how to create a recurrent neural network using Keras.
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Luis the @EconomicAlpha, as he is known on Twitter, has been investing in gold stocks for over ten years. With a background in insurance underwriting and risk management and a degree in economics, Luis’ interest in gold and precious metals eventually lead him to begin investing in precious metals stocks. Luis originally began tweeting about his mining investment decisions in order to document his investment journey for solely personal reasons, but in the process he has attracted thousands of followers who find value in what he posts online. In this interview, Luis shares regarding how he began investing in mining stocks, outlines his approach to resource investing, and tells of some of his successes and failures.
2:27 Luis’ background and how he began mining stock investing
4:22 Some of the most difficult things Luis had to overcome as a newer mining investor
7:25 How Luis managed his portfolio through the recent bear market in mining equities
11:13 Does Luis think we are in a confirmed gold bull market?
12:31 What a mining stock trade looks like for Luis
13:56 Breakdown of Luis’ portfolio by mining investment type
15:38 How Luis approaches gold stock investing
22:13 Luis discusses some of his biggest winners & his exit strategy
25:21 What stocks Luis looks to in order to gauge the direction of the sector
29:17 The role of technical analysis in Luis’ investing approach
36:14 Discussing Luis’ online presence and how listeners can follow him
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The full course contains 10 rules for value investing and includes over 2 hours of HD video content, 40 lectures and support. Each rule makes up a sophisticated investing strategy that is tested on historical stock market data.
Rule 3 of the strategy concerns the PE ratio. Learn how to use the price-earnings ratio to select deep value stocks and gain the most from your investments. Trading stocks is difficult but this course on value investing makes it simple.
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Can AI be used in the financial sector? Of course! In fact, finance was one of the pioneering industries that started using AI in the early 80s for market prediction. Since then, major financial firms and hedge funds have adopted AI technologies for everything from portfolio optimization, to credit lending, to stock betting. In this video, we’ll go over all the different ways AI can be used in applied finance, then build a stock price prediction algorithm in python using Keras and Tensorflow.
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One of the most common questions I get from investors are, “What are the best stocks with a low price?” The problem is that stock price means absolutely nothing when it comes to investment return or value. In fact, I prove that with two stock examples in the video.
It’s investing myths like these that contribute to the fact that the average investor earns less than 4% a year on their portfolio. I understand the stock price misconception, it can be tough buying whole shares of those high-price stocks.
But we’re putting all that to rest today. In this video, I disprove the low stock price myth and reveal my two favorite stock-picking strategies that WILL help you find the best investments to make money. After talking about these two investing strategies, I’ll walk you through a stock screener you can use to pick stocks with potential.
Finally, I use the stock screener and those investing strategies to find two of the best stocks to buy right now. One of the stock picks is a high-yield leader in energy that pays a 4%+ dividend and could be increasing those dividends in 2019. The other featured stock is a best-of-breed in its industry and offers great protection against a stock market crash.
Don’t miss our first investing video in the series on how to find growth stocks, some of the best stocks to buy in 2019 https://youtu.be/lE-B2F3xmgo
Just getting started investing? Check out last week’s video on the best stocks to buy for a core portfolio. These are my ‘forever stocks’ I invest in and hold for the long-haul. https://youtu.be/GfbT6GZkTPA
Topics and Questions Covered in this Video:
Why Low Price has nothing to do with Value and Stocks to Buy
What Determines Stock Price?
My Two Favorite Stock-Picking Strategies for Beginning Investors
How to Use a Stock Screener to Find Stocks for High Returns
Two Stocks with Low Prices that also happen to be Great Investments
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Don’t invest another dime until you read this free special report – the 10 Lies Wall Street Tells Investors
Joseph Hogue, CFA spent nearly a decade as an investment analyst for institutional firms and banks. He now helps people understand their financial lives through debt payoff strategies, investing and ways to save more money. He has appeared on Bloomberg and on sites like CNBC and Morningstar. He holds the Chartered Financial Analyst (CFA) designation and is a veteran of the Marine Corps.
I want to thank The Motley Fool for sponsoring this video on best low price stocks and helping me bring some great investing ideas to the community! Video Rating: / 5
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