Published April 17, 2023 by Veronika

RTC Unified Vision (UV)

The base of RTC UV is the VSDC contract. This contract, implementing a stable denominator, also allows additional contracts (contractors) to mint and burn VSDC. The peg of VSDC is kept by the exchange ratio with ETH using a Chainlink price oracle, as well as RTC UV ecosystem demand for VSDC.

The Fauceth contract is the first contractor that implements minting new VSDC with ETH and redeeming VSDC back to ETH, with a 0.5% fee on each transaction that goes to the RTC treasury. The interface for this contract is available at vsdc.info

The Swapsynt contract is the second contractor that implements trading synthetic assets using VSDC, with a 0.1% fee on each transaction that goes to the RTC treasury. Additionally it's possible to deposit VSDC to receive synthetic sVSDC that enables faster trading with lower gas. Furthermore it's possible to receive a one-time credit of 1000 sVSDC to start trading without initial capital. However withdrawals into VSDC won't be possible until the credit is repaid in full plus 10% fixed interest. Swapsynt contract trading uses live Chainlink price feeds and is immune to bots and mev. The interface for this contract is available at swapship.org

The Payship01 contract is the third contractor that enables lending VSDC against the ecosystem tokens: RTC, SWSH and PSHP. The loan is preferential: loan-to-value is 100%, the price of ecosystem tokens is fixed (we assume current prices are the all time bottom), there are no liquidations, but the loan has a fixed 5% interest. The interface for this contract will be available at payship.org

The Payship02 contract is not a contractor, however it is a lending/borrowing contract that enables depositing and lending of any ERC20 token. Likewise, the interest curves on all tokens are the same and linearlly predictable, growing steadily with demand. Depositors can earn interest in their original tokens from borrowers. However only VSDC deposits can be used as the collateral. We are also implementing safeguards against token price manipulation at the source (for tokens that don't have a Chainlink price feed). The interface for this contract will be available at payship.org

The CaptainV contract is the final element of the Unified Vision. It is a new farming/liquidity mining contract to replace the old CaptainCook contract. CaptainV allows for deposits of the ecosystem tokens: RTC, SWSH, PSHP, VSDC and the UniV2 LPs: RTC-ETH, SWSH-ETH, PSHP-ETH. The reward token issued by CaptainV contract is vRTC. This new token is a valueless governance voting token used in the RTC Advisory Board. vRTC also represents the share in the periodical ecosystem dividends after the Board votes to issue them. The novelty in the CaptainV farm lies in the way the rewards are calculated. For one, vRTC total supply is uncapped and only the farm participants have control over how much will be issued. For two, the amount of rewards issued is proportional only to the amount of locked tokens in the farm. This means as the farm TVL increases, so does the vRTC issuance. This approach means so called "whales" are not directly decreasing the rewards for other participants. Also, a smaller farmer who participates longer can have larger rewards than a "whale" who participated for a short time only. Finally, only locked deposits earn vRTC rewards. Base lock is 2 weeks. Each additional 2 weeks locked earn a 1% reward bonus. This means with up to 52 weeks locked the bonus can reach up to 25%. The interface for this contract will be available at rtc.wtf

The web interfaces through which interaction with these contracts are possible, so called "dapps", are designed specifically to be decentralized-ready. Each interface code is pure HTML, CSS and JavaScript. Each interface is contained within the signle three files: .html, .css and .js. Each interface can be deployed and operate by anoyone to any web server, without the need for development environments and code builds.



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To maintain my security, my picture has been digitally manipulated as described: I have taken about 300 "selfies" that were supplied to the face generation algorithm to train on top of the base set. The result was further obscured using photo editing software: a depth of field blur was applied to distort details outside the face, and a dust filter was applied to introduce fuzzy pixels complicating photo reuse in other media. The result are photos that look alike, but not exactly like me.