Cryptofolio VS ccxt

A while ago, I made a self-hosted and open-source cryptocurrency portfolio app using React Native. Since it's only my 2nd or 3rd RN project, there's a lot of improvements I want to make in the next iteration, and the code is a little all over the place as I was learning while winging it half the time. For now, you can check it out here: https://github.com/Xtrendence/Cryptofolio

Hi, I'm developing an app that uses the CoinGecko API, and currently, I have a feature where users can view the performance of their cryptocurrency holdings over the past year. To do so, N number of requests are made to the "/coins/{id}/market_chart/range" endpoint, where N is the number of different coins the user has in their portfolio. This works fine when there aren't that many coins, but beyond a certain amount, requests have to be made with a delay between them to avoid hitting the rate limit, and since my app makes other requests multiple times per minute, the aforementioned amount isn't that high.

Glad to hear it, if you have any suggestions or feedback, then please do provide it. I have a project board with upcoming features, so if you feel as though there's a useful feature (within the scope of the project) that could be added, then either just reply/message me here or open an issue on the GitHub repo. Thank you!

RUN cd /tmp && git clone https://github.com/Xtrendence/Cryptofolio.git \ && mv /tmp/Cryptofolio/api /app/api && mv /tmp/Cryptofolio/website/* /app/ \ && rm -rf /tmp/Cryptofolio

All the information can be found in the repo: https://github.com/Xtrendence/Cryptofolio

The CCXT library is a powerful Python, JS, and PHP library that can be used to pull information from all of the major crypto asset exchanges.

As dust settles over next couple weeks… let me consider. You reminded me I wrote a JavaScript (React) iOS app last year using https://github.com/ccxt/ccxt . I just checked, and they support many exchanges/crypto-APIs, but not Kava Labs!!!! Doh!

I help people build these things for a living. If you were to do it yourself, the best library is probably here: https://github.com/ccxt/ccxt

Which one? CCXT is available on GitHub here https://github.com/ccxt/ccxt

I'm not sure if you already know about it, but there is a library called ccxt (https://github.com/ccxt/ccxt) that provides APIs to different exchanges, NDAX included, back then I was trying to use it, but without success, is possible that they improved it in the meantime.

For all the DIYBIY people out there, this is probably one of the largest pain points. You have to actively manage exchange connections while also maintaining your code and ensuring that your strategy is always updating and improving. If you know that you’re going to just be using one exchange or asset type, this is relatively easy as there are typically wrappers in various languages for each exchange. However, if you are not really sure and you plan on changing, choosing a cross-asset and cross-exchange package such as CCXT that allows you to test and deploy between multiple with ease is a game-changer. The worst case scenario you let your model run and the exchange changes their API, so offset this risk to someone else so you can focus on building a better trading algorithm.

just realise there are lots of pre-made open source packages for the exchanges. This one looks very robust: https://github.com/ccxt/ccxt So all the hard work has been done. I will warn you the learning curve is very steep and making a trading bot is in itself difficult and dangerous if there is a bug. Here's kraken's python script which is a stand alone program used to access their API, looks greek to me: https://github.com/mittagessen/kraken/blob/master/kraken/kraken.py

DCA Stack is primarily powered by this massive open source project called CCXT. This library lets any programmer connect and interface with over 100 exchanges in a (mostly) unified format. This makes for development of automated trading strategies less of a headache. Particularly since 100% of the battle is dealing with the million of different formats different exchanges use for their APIs and how they send data. The beautiful CCXT team did a fantastic job unifying over god knows how many endpoints to deliver this polished library.