Financial statements provide investors and marketers the raw data that can facilitate them to calculate, and compare the underlying value of companies. Moreover, notably revenue growth, capital expenses, and debt growth YoY do directly imply if a company is in a good shape or not, for example, market share is shrinking, or probably the cost of debt might rise, or it’s a potential one to invest because of current aggressive investment in new product development.
In this article, I’m going to work through how to build a financial statement bot using Easy2Digital API and Python. By the end of this piece, you can use the Python script and Easy2Digital API to obtain specific listed companies’ financial statement data, or leverage it to automate your dashboard update.
Along with interest rates rising against inflation, global stock markets have been bearish and obviously continue to drop as inflation kind of hovers over in a higher position and might last for a long period before pushing it down.
From a standpoint of the cost of buying in the stock market, this is absolutely a good chance to observe the momentum and estimate the time bottoming out. It’s because this timing is easier for us to analyze and identify undervalued companies compared to the previous QE era, notably now companies are confronting the increasing cost of debt and economic recession challenges. Who can stay still, who is the ACE?
If you are an investor in mutual funds, ETFs, trusts, Stock, and so on. This article can help you build a stock symbol data scraper for analyzing financial ratios in bulk using Python, FMP, and Easy2Digital API.
From a marketing perspective, organic traffic is not just limited to SEO. Conversely, it covers a wide range of traffic sources as long as the majority percentage of investment is focused on manpower. They can be social media, partnership, VoD, email and so on. Compared to these channels in terms of organic traffic, email marketing is still the most efficient approach in one-to-one conversation marketing with a higher new customer conversion rate and lower cost per retention notably in the eCommerce and B2B sectors.
Basically we have two options out there if leveraging the magic of email marketing – Paid and Free platform. If a long term investment return is your preference rather than you being restricted by the platform recurring payment fees, this article can fit your stomach.
This piece expands on how to save 90% of your manual email marketing campaign time by using Gmail and Python script. By the end of this article, you and your team can write a Python script to build an email blast system using Gmail.
Pagination to break down product and service search results by pages is a popular approach in web and mobile applications. In this piece, I’ll walk you through how to utilize flask paginate to implement paginations
User-based and customer-oriented are super popular in nowadays’ business model. Apart from web 2.0, web 3.0 more emphasizes decentralisation and gives back more data authority and data management to current users. So an user-centralization approach trend is arising and it just would be more important. So regarding buidling an application using Flask, user login and authentication system is a basic function it must have. Today is on how to leverage Flask login manager and build one in your application.
The fundamental approach of SaaS or BaaS or API monetization is to provide customers with different service and plan options by customizing the rate limits. So users can select and buy the plan quota they think it’s sufficient and pay for a reasonable price. Flask limiter has existing modules and parameters for your application to adopt. It’s easy and lightweight to upgrade your SaaS with this extension.
In this Python tutorial, I would talk about the 10 useful Python functions and modules that I love using in building a Financial analysis bot or a marketing bot. All these elements can eliminate your time to tidy up and clean the data you grab, and then automate seamlessly between the scripts that are combined to act as an RPA.
In this Python Tutorial, I would talk about how to leverage Flask JWT to tokenize your member’s or user’s identity and use it to authenticate. It’s a super common and helpful way of data interexchange and user experience enhancement. It’s adaptable in any sector, such as digital marketing, eCommerce, SaaS, media, and data business.
Seamlessly receiving payment from customers and presenting a secure payment process are crucial for any online business. In this python tutorial, I would walk you through how to utilize Stripe API, which is one of the most well-known payment processors – Stripe. You can learn how to integrate it with your flask application.
This python tutorial is relevant to coach how to automate your Python applications with the Google cloud platform. Compared to local device crontab and cron jobs, Cloud platforms like Google can allow your application 24 hours and 7 days stand-by and run by triggering preset events. You need to either keep the laptop running 24 hours or sit beside the device to monitor. I will take the trending topic bot for example and walk you through all components and script codings.
In this Python Tutorial, I would walk you through how to build a trending topic bot using Tweepy and Google News. By the end of this tutorial, you can learn the logic, framework, and mindset of building this bot. You can roll out localized versions based on what markets your business is entering.
In this Python Tutorial, I would walk you through how to build a Twitter email scraper to grab the user emails using tweepy and Twitter. By the end of this tutorial, you can also explore how to utilize regular expression to extract text information from a paragraph.
There are three main components to automate the Twitter post-blast, which are the Python script, media library, and schedule module. In this Python Tutorial, I would walk you through how to code the Twitter post automation script that connects with the Google Sheets and add schedule modules.
In this python tutorial, I’ll walk you through how to create a script that can convert CSV, SQL or Google Sheets data into JSON or XML. The main modules of this tutorial are the JSON and CSV.
In this Python Tutorial, I would talk about how to create price trackers for three popular retail marketplaces or channels from an eCommerce seller perspective. In this tutorial, we would use some modules listed as below and by the end of it, you can use a tracker built by yourself. Refreshing a dashboard every morning can become part of your lifestyle that relieves your busy work.