The current version of Nyctale's solution only represents a small proportion of our development roadmap. New features will be released all along the next few months, and we are giving you here a vision of what's coming next and what to expect from our platform in the future.
The evolution of our product will be driven by 3 types of developments: adding more assets within our analytics tools, improving existing indicators and creating new valuable ones, and designing new analytic approaches to extend the usage scenarios of our tools.
These different development areas will be explored in parallel and our users will be able to support us in the characterization and prioritizing of these proposals. In the long term, we want our community to own the development orientation of our platform.
1- Adding more assets within our analytics tools
- Integrating new promising tokens running on Ethereum [Short term - Q4 2020]
As DeFi has been one of the major trends this year, we plan to release a top 10 DeFi dashboard by late October, and a top 25 by late November 2020. Our users will soon have access to the most promising tokens in the DeFi space, running on the Ethereum blockchain.
- Covering more protocols (PoS chains, store of value coins, etc.) [Middle term - S1 2021]
Our algorithmic and analytic processes can be applied to any type of transactional network, but we still need to reprocess raw data to ensure the portability of our tools. In this way, becoming compatible with new protocols requires a specific investment from our development team.
We plan to start by integrating the most recognized Proof-of-Stake chains (ETH 2.0, Polkadot, Tezos, Cosmos, Cardano, EOS, Tron, etc.), and more traditional cryptocurrencies like Bitcoin, Litecoin, or other non-privacy coins.
2- Improving existing indicators and creating new valuable ones
- Building more valuable indicators [Short to middle term - Q4 2020 / Q1 2021]
We already have identified additional indicators of interest to better segment targeted communities and better represent their behaviors and the value brought to the network. A few changes are coming to integrate different value referential ($, €, BTC) around several existing indicators, as well as to better configure our behavioral personas (adding more categories, letting the users play with all the parameters).
- Monitoring centralized and decentralized exchange platforms' activity [Short to middle term - Q4 2020 / Q1 2021]
For now, we are excluding exchange platform wallets from our analytics to analyze the entire activity of the community. Internal transactions from exchange platform wallets are not taken into account. And our analytics are covering P2P activity as well as transactions with external exchange platform wallets.
New indicators will focus on centralized and decentralized exchange platform wallets to get a better understanding on their respective activity. We will monitor incoming/outgoing flows and the balance evolution of these specific wallets.
Then, we can also apply our behavioral modeling approach exclusively to transactions around exchange platforms. This approach will provide a more detailed understanding of the investment and trading activity around exchange platforms.
- Integrating the usage dimension [Middle term - S1 2021]
For now, our indicators don't take into account the usage dimension of covered assets. This is a mandatory step to provide metrics like Total Value Lock (TVL) and other usage indicators to monitor adoption around major dApps.
For this purpose, we need to screen the utility smart contract associated with each asset covered to identify the flows, the balance evolution, the number of interactions and wallets involved. This will make our analytics tools more powerful for business intelligence purposes.
3- Designing new analytic approaches to extend the usage scenarios of our tools
- Proposing a dedicated model for traders and investors [Short to middle term - Q4 2020 / Q1 2021]
Our behavioral modeling currently provides a single interpretative way to analyze different transactional personas (holders, speculators, and outgoing/incoming investors). This enables our users to quickly understand major activity patterns, but some specific usages might require a different approach.
To use our indicators for trading purposes, the most important aspect is to monitor the activity around exchange platforms, including every single transfer. Then, we can segment our behavioral personas on different and independent dimensions to obtain more precise indicators, detect smaller changes, and ensure our users that all transactions are well taken into account within all major metrics.
- Screening successful investors' strategy for benchmark purposes [Middle term - S1 2021]
It's also interesting to analyze major investors' portfolios, to measure their respective ROI and to benchmark the evolution of their strategy. It's possible on a platform like Ethereum by integrating a multi-token dimension in our analytics. In this way, we can provide an understanding of the overlap between different communities, and an analysis of investment strategies at play for all wallets using the same protocol.
We can easily identify the biggest investors' wallets and monitor the evolution of their portfolio with time. It's possible to rank investors regarding the ROI and to settle an alert system to be informed as soon as they arbitrage their position or rebalance their allocation. Then, all our users could become as smart as the smartest investors.