To Trade Or Not To Trade: Cascading Waterfall Round Robin Rebalancing Mechanism for Cryptocurrencies
Ravi Kashyap

TL;DR
This paper introduces the Cascading Waterfall Round Robin Mechanism, an innovative algorithm for portfolio rebalancing in cryptocurrencies that accounts for transaction costs and market volatility to optimize trading decisions.
Contribution
It presents a novel rebalancing algorithm that dynamically determines trade sizes and timings based on asset and market conditions, applicable across various asset classes.
Findings
Effective in volatile crypto markets due to boundary-based trading triggers
Reduces unnecessary trades by filtering market noise
Applicable to multiple asset classes and trading frequencies
Abstract
We have designed an innovative portfolio rebalancing mechanism termed the Cascading Waterfall Round Robin Mechanism. This algorithmic approach recommends an ideal size and number of trades for each asset during the periodic rebalancing process, factoring in the gas fee and slippage. The essence of the model we have created gives indications regarding whether trades should be made on individual assets depending on the uncertainty in the micro - asset level characteristics - and macro - aggregate market factors - environments. In the hyper-volatile crypto market, our approach to daily rebalancing will benefit from volatility. Price movements will cause our algorithm to buy assets that drop in prices and sell as they soar. In fact, the buying and selling happen only when certain boundaries are crossed in order to weed out any market noise and ensure sound trade execution. We have provided…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Market Dynamics and Volatility
