Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I used a monovarietal model. Today I will make the use of a multivariate model to train my AI. It will be more complex, but it will begin to be more realistic. The structure I will be using will be almost identical to the one followed in the previous article, with the only difference that this one will be able to incorporate multiple variables (GOOG price and GDP).***DISCLAIMER: as exciting as it may look, this is a low-resolution simulation of a financial analysis model. Real-world models are much more complex, require Multi-variable data and are not limited to a single AI, but rather a collection of AI working together. Therefore, use this model for training on building Neural Networks Only: DO NOT ATTEMPT TO USE IT ON REAL TRADING, it will lack reliability due to its lack of complexity.
As usual, I will instruct you on how to proceed using my personal graphical notes as a guide. The scheme above fairly summarized the full procedure in creating a stacked multivariate LSTM neural network for time-series predictions.
Setting up the LSTM
# load dataset import pandas as pd X = pd.read_csv('/content/drive/My Drive/Colab Notebooks/Projects/20200525_GOOG_Multivariate_LSTM/GOOG.csv') #original copy without preprocessing X = X.drop(['High', 'Low', 'Close', 'Adj Close', 'Volume'], axis=1) index = X.pop('Date') X
For your convenience, I have already saved the stock performance of 1 year of Google stock (GOOG) in a .csv file that you can download here. Because I use Google Colab, I will load it from my personal drive. You can download the .csv and import it from your own path.
GDP is released 4 times every year, once per quarter. Because I do not want to jump from one value to the other instantaneously, I want to calculate the GDP variation for every day of the year, so that I can adapt it to the Google Stock data. The two time-series need to be standardized, in this case, they need to show data for every day of the year without interruptions.
#GDP interpolation import matplotlib.pyplot as plt y = [20897804, 21098827, 21340267, 21542540, 21729124, 21537940, 21537940] x = [int((365/4)*0), int((365/4)*1), int((365/4)*2), int((365/4)*3), int((365/4)*4), int((365/4)*5), int((365/4)*6)] plt.plot(x, y, ‘o’) x
Because I only had the value of the GDP, but I could not use the date because incompatible with the Google Stock, I opted for using the number of days starting from 0. Essentially, on day 0, the GDP si 20,897,804, at day 91 the GDP is 21,098,827…
I have created a table with all the GDP values obtained from a government website. I will use those 7 quarters to create a time-series.
from scipy.interpolate import interp1d import numpy as np f = interp1d(x, y, kind='cubic') plt.plot(f(x))
As you have noticed, the x-axis did not show the correct days, but a count for every new GDP input. I have to adapt it to the starting day of the Google Stock dataset so that I can synchronize both datasets.
list_day = list() list_GDP = list() for _ in range(len(index)): year = int(index[_]+index[_]+index[_]+index[_]) month = int(index[_]+index[_]) day = int(index[_]+index[_]) date = datetime.datetime(year, month, day) date_add = int(date.strftime('%j')) history_day = date_add+((year-2019)*365) list_day.append(history_day) list_GDP.append(f(history_day)) plt.plot(list_day, list_GDP, 'o', linewidth=1, markersize=2)
Full interpolation of GDP: resulting in GDP per day
list_GDP = pd.DataFrame(list_GDP) list_GDP.columns = ['GDP'] list_GDP
An overview of the DataFrame I have just been creating
#merge Google Stock with GDP X = pd.concat([X, list_GDP], axis=1) X
Both GOOG Stock price and GDP
I can finally place the datasets one in front of the other, now that they have corresponding dates. I will use the GDP values as a predictor for the Google Stock data. Compared with the previous article, the time-series will not attempt to predict itself based only on its previous data, but it will also use the GDP values.
#google #deep-learning #deep learning
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
The liquid-cooled Tensor Processing Units, built to slot into server racks, can deliver up to 100 petaflops of compute.
As the world is gearing towards more automation and AI, the need for quantum computing has also grown exponentially. Quantum computing lies at the intersection of quantum physics and high-end computer technology, and in more than one way, hold the key to our AI-driven future.
Quantum computing requires state-of-the-art tools to perform high-end computing. This is where TPUs come in handy. TPUs or Tensor Processing Units are custom-built ASICs (Application Specific Integrated Circuits) to execute machine learning tasks efficiently. TPUs are specific hardware developed by Google for neural network machine learning, specially customised to Google’s Machine Learning software, Tensorflow.
The liquid-cooled Tensor Processing units, built to slot into server racks, can deliver up to 100 petaflops of compute. It powers Google products like Google Search, Gmail, Google Photos and Google Cloud AI APIs.
#opinions #alphabet #asics #floq #google #google alphabet #google quantum computing #google tensorflow #google tensorflow quantum #google tpu #google tpus #machine learning #quantum computer #quantum computing #quantum computing programming #quantum leap #sandbox #secret development #tensorflow #tpu #tpus
How to Predict Stock Prices with LSTM
In a previous post, we explained how to predict stock prices using machine learning models. Today, we will show how we can use advanced artificial intelligence models such as the Long-Short Term Memory (LSTM). In the previous post, we have used the LSTM models for Natural Language Generation (NLG) models, like the word-based and the character-based NLG models.The LSTM ModelLong short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning having feedback connections. Not only can process single data points such as images, but also entire sequences of data such as speech or video. For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, anomaly detection, time series analysis, etc.
he LSTM models are computationally expensive and require many data points. Usually, we train the LSTM models using GPU instead of CPU. Tensorflow is a great library for training LSTM models.
#lstm #tensorflow #stock-price-prediction #prediction-markets #python
The last thing you want to do is to dissatisfy your customers. It is quite disappointing for online shoppers to want to purchase a product and they end up discovering that it is out of stock.
One thing that is common among Shopify stores is that they usually experience stockouts. A stockout occurs when inventory gets finished. If customers want to handle issues concerning stock outs effectively, then, they should use Shopify product back-in-stock alerts App.
What can back in stock alerts help you do? It can help customers notify shoppers when products are available if they subscribe to it using the back in stock notification app.
#back in stock notification app #back in stock alert #in stock alert #in stock #back in stock #stock alert app
In this post, we will show how we can use Python to get data from Google Trends. Let’s have a look at the top trending searches for today in the US (14th of March, 2020). As we can see, the top search is about Coronavirus tips with more than 2M searches, and at the 7th position is Rick Pitino with around 100K searches.
We will use the pytrends package which is an unofficial API for Google Trends which allows a simple interface for automating downloading of reports from Google Trends. The main feature is to allow the script to login to Google on your behalf to enable a higher rate limit. At this point, I want to mention that I couldn’t use this package and I created a new anaconda environment installing the pandas 0.25 version.
You can install the pytrends package with pip:
pip install pytrends
#google-trends #how-to-use-google-trend #google #google-api #python
Can you use WordPress for anything other than blogging? To your surprise, yes. WordPress is more than just a blogging tool, and it has helped thousands of websites and web applications to thrive. The use of WordPress powers around 40% of online projects, and today in our blog, we would visit some amazing uses of WordPress other than blogging.
What Is The Use Of WordPress?
WordPress is the most popular website platform in the world. It is the first choice of businesses that want to set a feature-rich and dynamic Content Management System. So, if you ask what WordPress is used for, the answer is – everything. It is a super-flexible, feature-rich and secure platform that offers everything to build unique websites and applications. Let’s start knowing them:
1. Multiple Websites Under A Single Installation
WordPress Multisite allows you to develop multiple sites from a single WordPress installation. You can download WordPress and start building websites you want to launch under a single server. Literally speaking, you can handle hundreds of sites from one single dashboard, which now needs applause.
It is a highly efficient platform that allows you to easily run several websites under the same login credentials. One of the best things about WordPress is the themes it has to offer. You can simply download them and plugin for various sites and save space on sites without losing their speed.
2. WordPress Social Network
WordPress can be used for high-end projects such as Social Media Network. If you don’t have the money and patience to hire a coder and invest months in building a feature-rich social media site, go for WordPress. It is one of the most amazing uses of WordPress. Its stunning CMS is unbeatable. And you can build sites as good as Facebook or Reddit etc. It can just make the process a lot easier.
To set up a social media network, you would have to download a WordPress Plugin called BuddyPress. It would allow you to connect a community page with ease and would provide all the necessary features of a community or social media. It has direct messaging, activity stream, user groups, extended profiles, and so much more. You just have to download and configure it.
If BuddyPress doesn’t meet all your needs, don’t give up on your dreams. You can try out WP Symposium or PeepSo. There are also several themes you can use to build a social network.
3. Create A Forum For Your Brand’s Community
Communities are very important for your business. They help you stay in constant connection with your users and consumers. And allow you to turn them into a loyal customer base. Meanwhile, there are many good technologies that can be used for building a community page – the good old WordPress is still the best.
It is the best community development technology. If you want to build your online community, you need to consider all the amazing features you get with WordPress. Plugins such as BB Press is an open-source, template-driven PHP/ MySQL forum software. It is very simple and doesn’t hamper the experience of the website.
Other tools such as wpFoRo and Asgaros Forum are equally good for creating a community blog. They are lightweight tools that are easy to manage and integrate with your WordPress site easily. However, there is only one tiny problem; you need to have some technical knowledge to build a WordPress Community blog page.
Since we gave you a problem in the previous section, we would also give you a perfect solution for it. You might not know to code, but you have shortcodes. Shortcodes help you execute functions without having to code. It is an easy way to build an amazing website, add new features, customize plugins easily. They are short lines of code, and rather than memorizing multiple lines; you can have zero technical knowledge and start building a feature-rich website or application.
There are also plugins like Shortcoder, Shortcodes Ultimate, and the Basics available on WordPress that can be used, and you would not even have to remember the shortcodes.
5. Build Online Stores
If you still think about why to use WordPress, use it to build an online store. You can start selling your goods online and start selling. It is an affordable technology that helps you build a feature-rich eCommerce store with WordPress.
WooCommerce is an extension of WordPress and is one of the most used eCommerce solutions. WooCommerce holds a 28% share of the global market and is one of the best ways to set up an online store. It allows you to build user-friendly and professional online stores and has thousands of free and paid extensions. Moreover as an open-source platform, and you don’t have to pay for the license.
Apart from WooCommerce, there are Easy Digital Downloads, iThemes Exchange, Shopify eCommerce plugin, and so much more available.
6. Security Features
WordPress takes security very seriously. It offers tons of external solutions that help you in safeguarding your WordPress site. While there is no way to ensure 100% security, it provides regular updates with security patches and provides several plugins to help with backups, two-factor authorization, and more.
By choosing hosting providers like WP Engine, you can improve the security of the website. It helps in threat detection, manage patching and updates, and internal security audits for the customers, and so much more.
#use of wordpress #use wordpress for business website #use wordpress for website #what is use of wordpress #why use wordpress #why use wordpress to build a website