Regular statistics on Gods Unchained related data and your personalized Gods Unchained cards wallet analysis

in Gods On Chain2 years ago (edited)

Hi Mortals,

gutools.net is live now!

It aims on providing features such as regular statistics on current and historical playset prices, trending cards, most expensive transactions and a comprehensive wallet analysis of your GU cards.

A few more words on the wallet analysis. There are two options:

  1. Analyse only - only wallet address required to be entered

    • Bought Tokens - lists all bought tokens that are still in inventory with buy price, buy date, current floor price and change in % and absolute (deviation between buy and floor price)

    • Sold Tokens - lists all sold tokens (non-minted) with original buy price, sell price, win/loss in & and absolute and the current floor for what-if simulation purposes

    • Sold Minted Tokens - lists all sold tokens (minted) with sell and current floor price

    • Minted Tokens - lists all minted tokens in your inventory with current floor price and date of minting.

  2. Analyse and send data dump to given email address - wallet and email address required to be entered

    Same feature like in Analyse only and you get a data dump of your wallet related IMX data for your e.g. self service analysis or tax preparation

The amounts are stated in transaction currency and can be additionally converted based on the target currency selected in the header section.

More features coming soon... Have fun and enjoy using gutools.net

See you in the arena!

Screenshot 2022-01-13 134508.png

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The more tools we have that give us more information are always welcome. This one is smooth and easy to follow as well.

Ooh I really like this, great job! Just curious, where do you get your price data from? I'm assuming you do cache the price data from somewhere like TokenTrove/IMX, is that right?

Great tool! Love your work. Would it be possible to make a bargain buys section by comparing a card's current floor price to its historical price and listing the entries with the most disparity?

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