This is just good programming practice, but it gets driven home pretty quickly if you don’t write it in from the beginni

Keep it simple. I am not saying that the user should receive every message you want to give as soon as they arrive on the site. Is the site about renting a car, is it a technology blog or an e-commerce site selling gifts? They just need to understand this. It’s simple, isn’t it? Isn’t it even necessary to mention that? Yes, I thought so too. Until I do some research and come across random sites. Sometimes sites talk about themselves so much like mission, vision, who we are that the product/service is not understood. Users are like, Ok but what is the product/service on the site?

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one of the most fundamental algorithms used to model relationships between a dependent variable and one or more independent variables. In simpler terms, it involves finding the ‘line of best fit’ that represents two or more variables.

We explained to the user what the site is for in the upper article. Good start. But now the number of users coming with external links is quite high. So we cannot know which page of the site they will come to. For this reason, there should be signs on each page to show our identity. Think of it like this; we invited guests to our house. But our house has lots of entrances and rooms. Guests should understand that they are our home, wherever they come from. In this article, I have detailed this article.

It is a known fact that we fall in love with our designs :) But there is no truth that the user will love what we love. Even the designers in the project sometimes can’t agree.

They don’t wonder if it works well or badly. It just wonders if it works until you deliver better. When you offer better, you provide a better user experience and gain loyal users. For example, on an e-commerce site, the user does not need to know technically how a t-shirt is filtered. We use a visual filter in the interface. Let the design do its job and disappear. This is just a simple example, consider this topic on your own project.

When you trade live, you need to issue your buys and sells as either a limit order or market order. With a market order, the transaction will be completed at whatever the going rate is. That’s bad. Be careful with that, because that price can MOVE in a matter of seconds. That’s why you have a bot in the first place! I chose to place my orders as limit transactions, so that if the price moved dramatically, it wouldn’t buy or sell at a different price than I had intended.

Let me give an example again: I don’t like tab structure at all. Honestly, I hate it. But in the usability test results, it was understood that the tab structure is hard to miss. (Steve Krug mentions it in his book Don’t Make Me Think)

In retrospect this is obvious, but it bit me the first time my code tried a live transaction. In simulation, it’s fine to issue a buy for (cash_on_hand/coin_price). Sure, the simulation might store that you bough 12.2342348998729384797 ETH, but who cares?

I recently wrote my first cryptocurrency trading bot. I started by playing with historical prices for Bitcoin at ten minute intervals — I loaded them into Python Pandas dataframes and ran some simulations, buying low and selling high. It looked great! The code was simple, too — I figured it wouldn’t take more than a few hours to bolt on some robin_stock functions and go to town. I was wrong. Here’s what I learned as I went — perhaps it will save you some time.

Try to do that in real life, and it will likely fail. The trading platform will have limits on the amount of precision you can specify for both the amount purchased and the price, and it varies by coin. This makes perfect sense when you think about it — DOGE is currently selling at a fraction of a cent, and BTC is currently selling over $19,000. You can’t reasonably buy small fractions of DOGE the way you can with BTC.

When you simulate trades, you are probably making some assumptions. Your program decides to buy or sell at the price at that moment in time, and it succeeds, every time. Your simulation racks up the profit!

And that’s it. Maybe you already knew or just learned these methods. But try to use it in your project. After every project I designed, I turned and looked through this list. And every time I found things to fix.

Reality isn’t quite as easy. Actual trades take a little time, and the price is changing. When your bot is trading live, sometimes only part of your order will complete before the price shifts significantly. It may not even complete any of the order. I refer to this as a “swing and miss”. Your bot needs to handle these situations gracefully. I opted to save the order transaction number and check the results every so often — if, after a hour, it didn’t result in a buy of coin, the bot cancelled the buy order and tried again.

And that’s it. Maybe you already knew or just learned these methods. But try to use it in your project. After every project I designed, I turned and looked through this list. And every time I found things to fix.

My bot built lookup tables for the maximum precision of both price and amount purchased for each coin, and used them to compute buy order amounts. Do it wrong, and you’ll likely get an error back from the server.