48 Stories To Learn About Algorithmic Trading

Let's learn about Algorithmic Trading via these 48 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.

1. In A World of Rigid Opinions and Rules, Be As Fluid As Water

Why the blockchain and cryptocurrency revolution is something to be embraced.

2. How I Built A Million Dollar Algo-Trading Strategy Then Lost It All

How to build a million dollar algorithmic strategy trading bitcoin and then lose it all.

3. From Inside a Hedge Fund: Revelations From Insiders

Here we have collected some interesting facts about what is happening in hedge funds based on open sources.

4. 5 Best Stock Market APIs: A Guide for Data Scientists & Algorithmic Traders

Best stock market data APIs for data scientists and algorithmic traders: Alpha Vantage, Barchart OnDemand, Tradier, Intrinio, and Xignite.

5. Why a Quant Chooses to Work on Algorithms Instead of Startups

Meet the Writer: Hacker Noon's Contributor Peregrine Buckler, Quant @ Dune Capital, I use math’s amongst other things to spot patterns in financial markets.

6. With Enough Data, You Can Predict Asset Price Movement

With “enough data” asset prices, as with the weather, can be predicted with a high degree of accuracy.

7. Top 5 Ready-Made Algorithmic Trading Robots in MQL5

Learn about the best ready-made Algorithmic Trading Robots in MQL5 and use them to profit from your algorithmic trading business.

8. We Built a Crypto Trading Algo Based on AI Sentiment Analysis

Introducing an AI-powered Algo trading platform on the blockchain.

9. The Ethical Implications with Algorithmic Trading

Between the 2000 dot.com boom and bust and the "Big Short" of the 2008 credit crunch, we heeded the wisdom of the legendary traders of the 20th century - guys like Jesse Livermore (1920s) and Paul Tudor Jones (1970s). The wisdom was to be dispassionate (no emotion) and trade methodically (like a robot) - executing trades mechanistically every time.

Of course, for the previous generation of traders, the rise of the PC and internet and exchange APIs meant that much of this "mechanistic" work could be automated. Most of the technical and methodical signals can be algorithmically determined and acted upon. The trader is merely the strategist and commander who decides when which algorithm (trading method) should be applied.

10. The Best Data Science Applications and Tools to Manage a Quantitative Hedge Fund

Some essential data science practices and tools to implement in a hedge fund and start driving on the road toward profitability

11. Using Monte Carlo Simulation for Algorithmic Trading

Monte Carlo Simulation is a statistical technique that injects randomness into a dataset to create probability distributions.

12. Converting Your Raspberry Pi Into a Crypto Trading Bot

What's not to love about your Pi? It's a serious piece of kit, and it's cheap! But… can it make you money?

13. Building Efficient Crypto Trading Software With Python

Learn about building efficient trading software principles, such as event-driven approach, microservices, and asynchronous programming.

14. How To Trade within TradingView with Alpaca

Nothing goes better with algorithmic trading than tons of data. That's why we're delighted to announce our integration with TradingView to give you deep insights into markets, stocks, etc, all while seamlessly using Alpaca's commission-free API trading platform.

15. The Evolution and Future of AI in the Stock Market

AI-powered trading holds several advantages over its algorithm-only predecessors. An AI-powered system can make decisions based on rich data in real-time.

16. How To Get Started Doing Fast Backtesting Using Algo Trading Tools

No one would want to risk a big amount of capital in a program that is not vetted. Thankfully we don’t have to, since there are plenty of platforms that we can

17. Trading Strategy: Understanding the Trader's Winning Methods

Are you interested in online trading and want to invest in stocks to make money? Here are the best trading strategies explained in detail.

18. How to Build an Algorithmic Crypto Trading Bot in 6 Steps

Create a fully scalable algorithmic crypto trading bot that can execute in your sleep. The strategy that will use is based on the popular Supertrend indicator.

19. How Traders Can Use Divergences to Their Advantage with Cleo's Automation Platform

A complete guide on the types of divergences, how to identify and use them, and how to integrate them into your trading system automatically via cleo.finance.

20. Bot Creator Dembots in the Spotlight

Demian is a bot creator for bots. He creates algorithmic trading strategies for all BOTS users to use. Today he explains how and why he does this.

21. Best Automated Trading Solutions for Crypto

Best Automated Trading Solutions for Crypto

22. Technological Shifts in Forex Trading Systems: A Spotlight on Algorithmic Advances

Thanks to technological advancements, the Forex exchange market has come a long way. Robotics and AI have made the process of data analysis simpler than we imagine. From the best algorithmic Forex robots to Forex indicators and diligent Forex signals services, almost every aspect in the space of Forex is evolving with groundbreaking advancements.

23. Using Python to Download Historical Cryptocurrency Price Data from CoinGecko

See how to download historical cryptocurrency price data from Coingecko with Python

24. Cybersecurity in Crypto Trading: Everything You Need to Know

Cybersecurity is one of the world’s most pressing concerns at the moment. State departments, major corporations, healthcare providers, universities, and manufacturing facilities have all been hit hard by cybercrime actors.

25. Investing in Optimism: Exploring The Ways to Invest as Markets Rally on Hope of Covid Vaccine

Disclaimer: Trading and investing involves risk. This is not an endorsement to invest in stocks and companies or trade via platforms mentioned in this article. Trade at your own risk.

26. How to Earn Profit on Crowd-sourced Automated Trading Communities

27. Battle of the Automatic Trade Signal Execution Architectures: 3Commas, Alertatron, Plurex

You want Automatic Execution that suits the needs of your Trading Bot. A comparison of 3Commas, Alertatron and Plurex architectures and their pros and cons.

28. Here's Why We Built An Open-Source Goldmine of Crypto-Markets Datasets

How to run a distributed data-mining operation to source and process crypto market data at zero cost.

29. WTF is a Grid Trading Bot?

Grid trading profits in a fluctuated market. Here are 9 reasons from an experienced trader who has used GRID Bot for more than 18 months.

30. The Ultimate Guide to High-Frequency Trading (HFT)

In this guide, we are going to explore High-Frequency Trading (HFT) and HFT Software and explain the details you need to know about this form of trading.

31. The Ultimate Guide To Successful Algorithmic Trading

Photo From UnSplash

32. POC Bot Selling Feature #9: Auto-Withdraw Realized PNL Take Profit

Lol with me if you can find the spelling mistake embedded in my code? :D

33. How To Create Your Customized Trading Signal Alerts

Trading signals are an easy way to monitor the markets without monitoring the markets. Instead of following someone else’s – create your own. Become a better trader while enjoying life and never miss a move on as many trading pairs as you want to follow.

34. Arbitrage as a Shortest-Path Problem

An explanation of arbitrage and a look at an efficient algorithm to find riskless instantaneous arbitrage opportunities across markets.

35. How I Made a 65% ROI with this Boeing Trading Algorithm

Since the market crashed in March of 2020 the rebound has been swift and irrational.

36. Does the World Need a Cryptocurrency Robo Advisor?

What is a Robo Advisor?

37. How to Optimize Cloud Testing: 6 Main Challenges

38. 3 Trends of the Neural Network Usage for Algorithmic Trading

Developers of AI systems can create complex algorithms for a wide range of use cases, including in investing and trading.

39. Why Algos for Retail Investors Will Finally Democratize Investing in 2020

Technology has revolutionized trading for individual investors in the early part of this century, from online trading tools to robo-advisors, to the rise of crypto and fintech applications.

40. Define and Backtest Crypto Algo Trading Strategies With Bitfinex Honey Framework Toolkit

The most sophisticated trading toolkit developed by Bitfinex, though, is Honey Framework with many useful packages such as bfx-hf-ui, bfx-hf-strategy, bfx-hf-in

41. What You Should Know to Win at Algorithmic Trading

Among all the trading techniques, one of the most popular and sophisticated is algorithmic trading.

42. Switching From Manual to Automated Crypto-Trading in 3 Steps

Trading crypto manually sucks and you know it. Stop wasting your potential and make the transition once and for good. Here is how…

43. PRIA WARS: Attack of the DeFi Clones

PRIA’s (short) History

44. Dollar Stop Losses Vs. Volatility Stop Losses: Algorithmic Trading Tips

I remember when I first got into trading and algo trading.  Everything was a mystery:

45. Trading Cup and Handles With MarketSmith Pattern Recognition

The Cup With Handle pattern, developed by William O’Neil, is a technical indicator for identifying the continuation of a trend after a period of consolidation.

46. Developing Your Own Trading System: A Step by Step Logical Guide

Laying out a rational framework for developing your trading system by dissecting trading logic, step by step.

47. Is Buy and Hold Really the Best Strategy in Crypto?

There are a lot of these proverbs that get thrown around the trading community like “cut your losses short, let your winners run”, “buy the dip”, “never add to a losing trade”, “don’t try to catch a falling knife” etc. Yes, intuitively they sound about right, but how much truth there really is behind them?

[48. Bull And Bear Regime Trading -

How To Algo Trade With Trends Without Getting Run Over By Them!](https://hackernoon.com/bull-and-bear-regime-trading-how-to-algo-trade-with-trends-without-getting-run-over-by-them-mu123z1s) My wife Amy and I have different philosophies when it comes to parties. If the host says the party is from 6:00 PM to 11:00 PM, I like to be there at 6, and leave before 11. Amy, on the other hand, has no problem arriving at 7, and staying until midnight.

Thank you for checking out the 48 most read stories about Algorithmic Trading on HackerNoon.

Visit the /Learn Repo to find the most read stories about any technology.