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title: Non-custodial NFT Trading Automation by CyberFi v0.25 CONFIDENTIAL

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# Non-custodial NFT Trading Automation by CyberFi v0.25 CONFIDENTIAL

### Introduction

The NFT Market has been on the rise in 2020. Ethereum being the king of all DeFi and NFT has been the root of some problems, other issues are inherent to the NFT concept.

Main problems of the NFT Market in 2020:
1. Gas fees
2. Manual processing of all actions
3. Illiquidity 
4. Price prediction is non-existent
5. Asymmetry of Information

### CyberFi NFT Automation Solutions

The CyberFi platform will host several products for the benefit of the NFT Market. At CyberFi we are focused on Smart-Automation - Visually Programmable Smart Events set up by users that allow them to minimize the inherent DeFi risks and set "Trigger Event" to any assets they own. 


#### I. NFT Project Index

A curated NFT Index of the popular NFT projects to receive exposure to a diversified portfolio. 

CyberFi users will have the feature to take part in the NFT movement through a simple interface allowing them to buy a basket of NFT-related Project Tokens without spending much on GAS. 

#### II. NFT Token Index and NFT Tokenization

A curated list of highly-valuable NFT Tokens from Top creators used as collateral for a tradeable NFT Token Index. Tokenizing NFT assets, through CyberFi users, will be able to participate in the NFT Token growth directly owning a share of a pool of NFT assets. 

In an illiquid market, such an Index would act as a synthetic asset and bring more liquidity to the market as well as establish opportunities for other Indexes and for creators to participate. 


#### III. NFT Price Oracle Trigger 

Initially, we will have 2 products available with the feature of "Price Triggers". Events that are triggered by specific changes in price dictated by the user. We believe that this functionality would bring much more 

**IV.I Limit Order**

NFTs are currently a highly-illiquid asset class organized by a hand-full of marketplaces using fixed-price markets and English Auctions. Most NFTs can be broken up into 2 types - "single mint" and "numerous mint", where the "numerous mint" is either an NFT with all the same specification existing in multiple items or an NFT from the same originator with most specifications being the same. 

In the case of "numerous mint" NFTs there is a possibility of price-prediction. It allows a holder of such NFT to wait for other NFTs from the "numerous mint" to set up a market and "make an offer" based on market movements. 

CyberFi will allow users to trade "numerous mint" NFTs with automation through Limit Orders bound to the price of the market of those NFTs. This functionality will be enhanced with multiple parameters that can be used to create a strategy for selling or buying NFTs. 


> E.g. An NFT-artist called "mister X" has issued a new art-piece as a "numerous mint" NFT, same artwork existing as 3 separate NFT tokens. These pieces were initially sold on a first-come, first-served basis with a fixed price of 1 ETH. 
> 3 Sellers had acquired these NFTs, out of which 2 rushed to the market to sell, and the 2 NFTs began trading on the marketplace. 
> 
> The 3rd Sellers using the CyberFi platform has set a limit order to set-up a sell order when the Market price of the one of the other 2 NFTs hit a certain point, say 5 ETH. At that point, the seller successfully sells his NFT for 5 ETH. While the other 2 sellers have received smaller sales.
> 

The same concept works for English Auctions as they are limited by a time factor. 

#### V. NFT Cyber Asset Hunter**

As said before "price-prediction" is severely limited and with "information asymmetry" and the ever-rising amount of NFTs on the market it is very difficult to find the next big thing. 

To solve this problem CyberFi introduces the "Asset Hunter" and automation tool for the NFT market users to find the most popular and actively trading assets. 

Several factors indicate the movements in popularity and demand of NFTs created by artists or companies:
> "Social capital of originators"
> "Trading Size"
> "Trading Frequency"
> "Number of Participators"
> "Scarcity of product"
> Other factors and formulas TBA. 
Using them users will be able to set up automation for trading NFTs, giving them the ability to be ahead of the game, make the correct decisions, and ultimately make a profit.




