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I spent the last two years building an algorithmic cryptocurrency trading platform – Aesir

I’m excited to finally be able to share the origin story of Aesir, an algorithmic cryptocurrency trading platform that I built alongside a small team of developers for the past couple of years.

Buy BTC, ETH, DOT and SOL EVERY 1 Week, With an Order Amount of 100 USDT
Buy ANY COIN on THIS EXCHANGE that GAINED more than 3% in the 2 MINUTES and the RSI is under 70

Now that’s more like it. In this example you can clearly see the advantages that a crypto trading bot has over manual trading. Even the most competent day trader would not be able to analyse hundreds of assets in a single moment, and immediately make a decision based on this. With a trading algorithm, traders are able to perform such quantitative analysis, opening up opportunities in trading that were previously not possible.

The great thing about Aesir is that before actually starting to build it, I had the opportunity to talk to hundreds of people in crypto and trading and determine what are the most requested features for such a platform, and how to build it in a way that both enthusiasts and professionals alike can benefit from it.

The Leaderboard comprises the platform’s best-performing Configurations. Those labeled as “Public” are available for cloning by any user. When you clone a Configuration, Aesir creates a duplicate of this particular crypto trading bot on your account, enabling immediate use for your benefit. Of course, there a word of caution that comes with Social / Copy Trading. When you clone a running configuration, you don’t copy existing positions as you can’t enter the market at a past date in time. So you might have slightly different results from the original creation whose strategy you’ve copied.

Paper Trading

Naturally, this brings us to another core feature for any crypto trader out there: the ability to test your strategies before taking them to market. We want to make sure that users trade responsibly, and thorough testing of a trading bot before deploying it is highly recommended. On top of paper-trading, we’re also currently considering how to add Backtesting as part of Aesir’s arsenal. Because Backtesting is computationally heavy, it will take a while to integrate nicely, but we’re definitely planning to add this feature.

Buy ANY COIN on THIS EXCHANGE that GAINED more than 3% in the 2 MINUTES and the RSI is under 70

Logic layers are the core functionality behind Aesir. Logic layers effectively tell your cryptocurrency trading bot how to trade. The reason they’re called layers is because Aesir allows you to stack multiple bits of trading logic on top of each other, allowing you to create truly unique signals.

Here’s an example of how you can add two separate logic layers on top of one another:

The first one is a Volatility layer, as described in the examples above, and the second one is a TradingView Indicators layer, allowing you to quickly compute the signal status(BUY, SELL) of any moving average or oscillator.

Once you’ve selected a base and logic layers, AESIR will tell you exactly what the strategy that you created will do:

Test Strategy will trade USDT pairs with an order size of 10 USDT and
a maximum of 3 Open Orders at a time. Assets will not be re-bought 
for 10 seconds. Buy and Sell signals for BTC, ETH, TRIBE, BIFI are 
checked every 30 seconds and an order will close when Take Profit 
reaches +2% or Stop Loss reaches -6%.

1. When a coin pair receives Buy Signals for 2 Moving Average(s) out 
of EMA10, EMA20, SMA20, and 1 Oscillator(s) out of CCI20, AO

AND

2. once any of BTC, ETH, TRIBE, BIFI have gained at least 2% in the last 10 minutes an order will be triggered.

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The post I spent the last two years building an algorithmic cryptocurrency trading platform – Aesir appeared first on cryptomaton.

Read more: https://www.cryptomaton.org/2023/08/09/i-spent-the-last-two-years-building-an-algorithmic-cryptocurrency-trading-platform-aesir/

Text source: Automated Cryptocurrency Trading

Disclaimer: Financial information and news are not financial advice, read the disclaimer.
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