Longtail Financial - Tokenspice2 github issue task force
Longtail Financial is a squad of developers and data scientists in web3. Our team would like to answer the call to issues on tokenspice2 on github: https://github.com/oceanprotocol/tokenspice2/issues
We have a visions of tokenspice2 becoming the defacto agent-based automated trading system running in defi, allowing strategies to access the OCEAN data marketplace to enable better capital efficiency for trading.
The more money that we raise through this grant, the more our team can dedicate resources towards this vision. Our standard rate for token engineering and development is $90USD/Hour. We have an automated system that tracks our hours in discord when we are working, also, development workflows are video recorded (and streamed on twitch) to produce future educational materials.
We are maintaining and enhancing tokenspice2 to broaden it’s ‘EVM-in-the-loop’ capabilities to make it a highly effective crypto-economic simulator. The yield on this is three-fold, first of all, it enables the OCEAN community to producer higher fidelity and accuracy simulations of the OCEAN economy, giving the DAO clear insights into where to focus efforts to maximize growth, secondly, we see that collaborative efforts on tokenspice2 now at these early stages will cause a snowball effect for usage and adoption of tokenspice throughout the token engineering world, thus bringing greater attention to the contributions that OCEAN has made to the field, thus reinforcing confidence in OCEAN. Thirdly, and most importantly, our background at longtail financial is in the development of automated trading systems, and we see that tokenspice2 has the potential to be the ultimate engine for testing automated trading strategies, given its agent-based modular design, it’s native compatibility with OCEAN marketplace, and it’s ability to directly interact with EVM for testing and deployment of strategies.
Using tokenspice2 as a trading engine is powerful because it allows agents to automatically interact with the OCEAN data economy to reference data sets that drive trading strategies. More data usage equals higher capital efficiency equals higher yields equals more investment back into datasets. This feedback loop has the potential to boost OCEAN data consumption on an exponential curve.
Trent said it himself:
- Primary Metric: “$ Datatoken Consuming Volume”.
- Secondary Metric: “Snowball effect for tokenspice2 adoption”.
- Project length: 4 months.
- I believe that we can deploy a proof of use-case for tokenspice2 being an effective automated trading engine for agents to consume OCEAN data. In the case that this is successful, a gold rush may be established where tokenspice2 becomes the defacto defi trading engine enabling trading strategies that consume OCEAN data for higher capital efficiency.
- Let’s say that we spark a field of innovation in terms of tokenspice2+OCEANMARKET as a standard practice for automated trading. Then this could reasonably lead to 10M OCEAN / month of data consumption. It’s a recurring volume for future months.
Calculations for Expected ROI:
- Ocean Community gets 0.2% of consume volume. 0.2% * 10M / month * 12 months = approx 24M OCEAN
- So bang = 24M OCEAN.
- Grant size = buck = 25K OCEAN
- So ROI = bang / buck = 24M OCEAN / 25K OCEAN = approx. 1000.
- Proposer’s estimate of % chance of success = 10%
- Final: expected ROI = 0.1 * 1000 = 100
The sooner that tokenspice2 can be made broadly available, the sooner that more developers, researchers, and engineers will become comfortable in running it over diverse scenarios, and with continuously improving fidelity. That means more researchers, means more results, means more development on tokenspice2 means higher fidelity models, insights, understandings, and optimizations.
Happy to address questions or feedback in the comments here. Thanks for reading!