Hi I am trying to run this application using the command yarn on Windows but whenever I try to install dependencies I get this error:

I am using: Node: 14.17.0 Yarn: 1.22.5

F-Droid URL: https://f-droid.org/ F-Droid Wikipedia: https://www.wikipedia.org/wiki/F-Droid

Contribution/Submit Applications: https://f-droid.org/en/contribute/#submit-applications Inclusion Policy: https://f-droid.org/en/docs/Inclusion_Policy Request For Packaging Tickets: https://gitlab.com/fdroid/rfp/issues

F-Droid is application & app store for android apps (alternative to Google Play) that accepts only FLOSS (free/libre and open-source) apps and doesn't require any account creation/login in order to download apps.

The requirements for being included into f-droid are here: https://f-droid.org/en/docs/Inclusion_Policy/

The process for getting an app published to f-droid is outlined here: https://f-droid.org/en/docs/Inclusion_How-To/ https://gitlab.com/fdroid/rfp#submission-queue https://gitlab.com/fdroid/fdroiddata/blob/master/CONTRIBUTING.md

You can open a RFP (Request For Packaging) ticket here: https://gitlab.com/fdroid/rfp or an user can do so, provided you agree to include this app in F-droid (a comment to this issue is enough for it)

Some users don't have play-store on their devices as they are degoogled devices or don't create/use google account (using aurora store app https://auroraoss.com/ in anonymous mode (which is available on f-droid) is solution to still get apps from google-play) or using OS/custom ROMs that don't have it included, such as: (Some bundle f-droid by default)

https://grapheneos.org/ GrapheneOS https://calyxos.org/ CalyxOS https://lineageos.org/ LineageOS https://lineage.microg.org/ LineageOS for microG https://e.foundation/ /e/ https://www.replicant.us/ Replicant

Downloading APKs from official places like github releases or website, or from unofficial sources like APK downloading sites https://apk.support or https://apkpure.com/ etc... will avoid the play-store/google dependency but it's lack automatic update mechanism unless it's built in into the application, F-Droid solve this.

Once the app is published into f-droid add the below image code into README.md to show that the app available on f-droid: [<img src="https://fdroid.gitlab.io/artwork/badge/get-it-on.png" alt="Get it on F-Droid" height="80">](https://f-droid.org/en/packages/org.fdroid.fdroid/)

latest release on google-play is: 1.3.8 https://play.google.com/store/apps/details?id=com.coingrig while latest tag https://github.com/coingrig/coingrig-wallet/tags and release is 1.3.7 https://github.com/coingrig/coingrig-wallet/releases tag the latest 1.3.8 release, and publish universal apk file of the release in github releases as asset as well.

A secret has been exposed in your git history.

file-path: https://github.com/coingrig/coingrig-wallet/commit/67c09484b296667a089a2425144c3870ef885d92#diff-2258fe64e0a333fde8c485f1813685fbdead1bd775f84afd3d6af2cafa11c071R25

init = async () => {
    //@ts-ignore
    this.client = await WalletConnectClient.init({
      //   logger: 'debug',
      apiKey: '3c5......

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators). All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction). For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation. And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.

If tou want, Please read the readme , and in case of any problem you can contact me , If you are convinced try to install it with the documentation. https://github.com/Leci37/LecTrade/tree/develop I appreciate the feedback

The version in google-play is: 1.3.11 Updated: June 22, 2022 https://play.google.com/store/apps/details?id=com.coingrig

While the latest version found in this repo is 1.3.8: https://github.com/coingrig/coingrig-wallet/releases/tag/v1.3.8 and latest commit from: May 20, 2022: https://github.com/coingrig/coingrig-wallet/commit/6769494b6f108b2fe9093b1b0397b15de75b7542

Please publish the code for latest 1.3.11 version on google-play, and in future ensure that code is published before it's released to google-play.