Bhargav kakadiya

@bgkakadiya

Joined on Apr 21, 2021

  • Research and Findings 1. Supply and Demand Supply Current supply = 0 Max supply = 1B Supply emissions (inflation) = inflation curve and rate as per the sheet Demand
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  • This document is collection of resources to learn all about conviction voting. Resources https://github.com/BlockScience/conviction/blob/master/social-sensorfusion.pdf https://medium.com/giveth/conviction-voting-a-novel-continuous-decision-making-alternative-to-governance-aa746cfb9475 https://github.com/CommonsBuild/commons-config-dashboard/tree/development/models https://colab.research.google.com/drive/159f6w8FhLz4zi0FROdamkUpUWCxye3Uu?usp=sharing#scrollTo=2yetOoVoroCB
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  • OHM Research and forking it for RealEx like Fantom. :rocket: [ToC] Step 1: What is OHM? Step 2: Coins that forked OHM? OlympusDAO’s Success Inspires Dozens of Forks
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  • General Logic for All Strategies We need a data frame that keeps track of currently open trades a record of all trades we have made (for later analysis) -- written to a csv file for record-keeping Functions def check_entry_conditions(signals:dict) -> boolean: """
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  • Task To simulate a situation when there is an algorithm that can reallocate funds from one Vault to another one and simultaneously change weights in order to maximize APY of this basket. Objective Propose an input signal for portfolio rebalancing (for example, TVL or dPrice of the Vault LP token based on accumulated interest), and demonstrate performance of static portfolio without any rebalancing strategy vs portfolio with dynamically adjusted composition according to proposed strategy Portfolio is a linear combination of interest generating tokens, growing in value and the task is to maximize basket value. Also we have gas costs for rebalancing that we need to take into account. Ideas
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