Deeplink’s #EtaX v1 is a proof of concept intended to demo our #smartorderrouting techniques but can be used analytically to inform a user of optimal trade paths, even highlight #Arbitrage opportunities across pools & exchanges. DM away for access.
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https://t.co/d813J4wsDU
#DeepBrew is blockchain-native adaptation of ‘The Beer Game’ macroeconomic supply chain scenario, to demo a proof of concept to Deeplink’s core vision — combining off-chain #machinelearning into #onchain environments e.g. #smartcontract
About DeepBrew- https://t.co/wUQiu33jr0
DeepKeeper Litepaper: On-chain Deep Q-learning Agents
https://t.co/7ISAPbpAak
This paper proposes the first steps towards on-chain artificial intelligence, a layer 2 solution which demonstrates the potential of on-chain #deepreinforcementlearning is presented. #Eth#DeFi#EtaX
Sharing soon.
DeepBrew: Deep Q-learning for an On-chain Beer Game
Connecting off-chain deep learning to on-chain #Ethereum execution.
DeepBrew is a research project aimed at progressing the synthesis of #machinelearning and #blockchain technologies.
#etax#unbiasedaggregator
To understand why SOR is a necessity in the world of electronic #trading, it is important to first understand the concept of #Slippage.
Read more about our comprehensive guide on #smartorderrouters on our medium publication: https://t.co/HQJ5mBlC7b
#machinelearning#aggregators
Read more about our comprehensive guide on #smartorderrouters on our medium publication: https://t.co/r8Rs1DeMFk
Follow us for more machine learning use cases in the blockchain:
Twitter: https://t.co/PU8gDxsqhg
LinkedIn: https://t.co/S1EcdTTyPC
Let's talk about #smartorderrouters#sor for #DeFi
The phrase ‘smart order router’ can be broken down into its constituent parts for some insight into its meaning. ‘Smart’ refers to the intelligence involved in rapid and optimal decision making...
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#SOR#algorithms do so by following a set of rules which primarily factor liquidity into calculations intended to identify the best way of executing a given trade. In general, SORs seek liquidity. #unbiasedsor#etax
#MachineLearning is a subset of #AI which refers to algorithms that are able to ‘learn’. #Deeplearning is a subset of machine learning originating from the McCulloch-Pitts neuron and Rosenblatt’s perceptron, which models the way in which biological neurons process information.
On #AI#MachineLearning#Deeplearning
Artificial intelligence refers to intelligence demonstrated by machines, a sentiment in which intelligence refers to the decision-making capabilities generally associated with biological intelligence...
Machine learning is often used in traditional SOR to assess and identify factors pertaining to liquidity and volatility in order to ascertain the opportunistic routes, pricing, and order sizing — we believe that these practices are directly translatable to DEX aggregation and SOR
Machine learning techniques are used broadly across the traditional finance sectors, and it is only a natural progression that these beneficial applications should eventually see their way into DeFi.
Various methods of execution such as limit orders, market orders, AMMs, stops, trailing stops etc. (many of which are currently not available on decentralized services) add further opportunities for optimization in the space.
#cryptomarket#amm#Decentralization#MachineLearning
Trades can be executed through centralized exchanges, decentralized exchanges and directly through protocol smart contracts; all with different order types and latencies.
#cryptomarket#automatedmarketmaker#DeFi#MachineLearning