In this article you will learn what time series forecasting is and how its application in finance looks like. Then you'll also dive into Facebook's Prophet Model for Time Series Forecasting and use it together with the lemon.markets Market Data API to forecast the development of the Tesla Stock.

Ever wonder how a trader with decades of experience on thousands of stocks and lightning fast reaction times might perform in the market? With some machine learning knowledge, you might be able to automate such a trader yourself! 💻 📈

In the current volatile market conditions, everyone is trying to find ways to minimise portfolio loss. In that context, have you ever thought about automating your trading strategy? In this article, we will dive into 4 reasons for doing so. Expect to learn how it can save you time, make your trading more efficient and lead to data-based decisions.

You may have heard the term “bear market” being thrown around a lot recently on the news and online. Perhaps you have looked at your favourite stock picks and only see red. In this article, we explain what bear markets are and algorithmic strategies that can be advantageous during a bear market.

YouTube is a great way to learn about new things, including financial education or coding. Therefore, in this article we’d like to introduce you to 5 YouTube channels to level up your trading literacy.

In this article, we'd like to introduce you derivatives - they come up in finance and leave a lot of people scratching their heads, though it's totally worth it! Curious about hearing what's the difference between investing and trading, the coherence between finance and weather & why the Greeks even appear here? We'll discuss who’s using them, what they are and how they can be valued in the following.

Market cap, IPO, blue chip stocks - sound familiar? Trading is well known for its extensive jargon. To ensure that you can join in on the conversation, we’ve compiled a list of some intermediate trading terms and their definitions. To learn about these concepts and more, read on.

Generally, CEOs know the ins and outs of their company - that’s why some traders choose to base their activity on that of company officers, directors and shareholders. Company insiders are required to publicly disclose any trades they make - and we can use this information! Keep reading to learn how to write a trading strategy that follows insider trades.

The /instruments endpoint can be used to search the 8250+ stocks and ETFs we currently offer on lemon.markets. You can customise your search with as much detail as you’d like by specifying the exchange, currency, type and other characteristics. Continue reading if you’d like to learn more.

With the lemon.markets API, placing an order is only one API call. But kind of information do you need to include in your request? In this blog post we walk you through how to successfully place an order and how to activate it with the trading API, such that it is placed and filled on the exchange of your choice. Keep reading to learn more.

Mean reversion is one of the most well-known trading strategies, and, even better, it’s easy to implement. In this blog post, we show you how to set up the strategy using the lemon.markets API and how to host it in the cloud using Heroku. The project is written in Python, but the logic stays the same for other programming languages.

Python is a popular language choice when it comes to automated trading, and for good reason! There’s lots of libraries and packages that can facilitate the process. In this article, we present ten Python packages that will simplify some recurring processes you’re bound to encounter in automated trading. We cover data manipulation, technical analysis and positions assessment.

A good automated trading strategy requires little to no intervention - this also means that when you leave your computer, it should keep running. For this, we suggest hosting your script in the cloud. In this article, we show you how by using Heroku. And if that doesn’t work for you, we offer a few alternative implementations.

Automated trading can be an intimidating field to get into - there’s lots of jargon and tools that can be used. In this article, we’ve compiled a list of ten resources that will give you a head start. These resources span the research phase until the execution phase, this includes from where to obtain your data, which languages you can use and, finally, where you can execute your orders (hint: lemon.markets, perhaps?).