Multivariate Time Series Prediction with LSTM and Multiple features (Predict Google Stock Price)

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.
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Stock Price Speculation choosing a Continual Neural Network

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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The code for this video:
https://github.com/TannerGilbert/Tutorials/blob/master/Keras-Tutorials/5.%20Stock%20Price%20Prediction%20using%20a%20Recurrent%20Neural%20Network/Stock%20Price%20Prediction.ipynb

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Github: https://github.com/TannerGilbert
Website: https://gilberttanner.com/
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Proper Honey Supply Examination Fails to Start with Regardling the Honey Price | @EconomicAlpha Question

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.

0:05 Introduction
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 content found on MiningStockEducation.com is for informational purposes only and is not to be considered personal legal or investment advice or a recommendation to buy or sell securities or any other product. It is based on opinions, SEC filings, current events, press releases and interviews but is not infallible. It may contain errors and MiningStockEducation.com offers no inferred or explicit warranty as to the accuracy of the information presented. If personal advice is needed, consult a qualified legal, tax or investment professional. Do not base any investment decision on the information contained on MiningStockEducation.com or our videos. We may hold equity positions in and/or be compensated by some of the companies featured on this site and therefore are biased and hold an obvious conflict of interest. MiningStockEducation.com may provide website addresses or links to websites and we disclaim any responsibility for the content of any such other websites. The information you find on MiningStockEducation.com is to be used at your own risk. By reading MiningStockEducation.com, you agree to hold MiningStockEducation.com, its owner, associates, sponsors, affiliates, and partners harmless and to completely release them from any and all liabilities due to any and all losses, damages, or injuries (financial or otherwise) that may be incurred.

Price tag Committing Principles: When to use The PE Proportion To select Has

For more trading and investing ideas visit:
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https://jbmarwood.com

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.

How Much If you do Purchase the Initiating? | Price Volume for Stock Market Deal

How Much Should You Invest In The Beginning? | Initial Investment Size for Stock Market Investment

All of the information in the video is what I have been able to gather from my personal research. If there’s some part I missed, connect with me on Instagram or mention it in the comments down below. The aim is to help people get the right info in one place. Let’s make it happen!

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Stock Price Prediction | Ajajai in Finance

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.

Code for this video:
https://github.com/llSourcell/AI_in_Finance

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More learning resources:
https://hackernoon.com/unsupervised-machine-learning-for-fun-profit-with-basket-clusters-17a1161e7aa1
https://www.datacamp.com/community/tutorials/finance-python-trading
http://www.cuelogic.com/blog/python-in-finance-analytics-artificial-intelligence/
https://www.udacity.com/course/machine-learning-for-trading–ud501
https://www.oreilly.com/learning/algorithmic-trading-in-less-than-100-lines-of-python-code

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Uncovering Affordable Shares of stock by using Important Advantages [Best Reduced price Shares to acquire Today]

Get the special report on The Motley Fool, Best Stocks Under , https://mystockmarketbasics.com/motleyfool

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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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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