You have to ascertain if the team is here for the long run, or here to build an MVP (sometimes they don't even get that far) and use you as exit liquidity.
These guys are responsible for delivering the project, they need to be shit hot.
In the case of anon teams, you can still dig into their online presence.
What have they written on social media or elsewhere?
Check their GitHub contributions if they are developers.
DM them and see if they are willing to answer any questions.
Scrutinise the roadmap.
Sometimes there is a roadmap listed on the website, in the project’s docs or in some cases in the discord.
Look at the timeline to assess whether it is the right time to deploy your funds.
If a project isn’t shipping their main product for two years, then there might not be a rush to invest.
Use the roadmap to assess whether a team ships on time or achieves their milestones.
Who is the first mover in the sector and how does the market cap compare?
What advantages does this protocol have over competitors?
Have they managed to attract users?
Why will users use this project vs competitor solutions?
Social Media analysis
How does the project communicate on social media?
Is their marketing on point?
Have they cultivated a strong community that is willing to help with their marketing?
Is there a lot of social activity related to the project? Not just Twitter shill bots.
Join the discord and Telegram, get a feel for the individuals that have gravitated towards the project.
Are they discussing the intricacies of the project in depth? Or just saying "wen moon?"
Does the community make great memes?
Memes are indicative of a passionate and strong community and help to spread the narrative of a project.
Has any big brain anons written a good thread that can help you get more perspective?
CT is one of the best & worst places to get analysis of projects from. But, it’s always worth compiling good tweets/threads to see if you have missed any key details from your own research.
What is the UI/UX like? I can hear developers screaming UI and UX are not the same thing!
This is more of a subjective category of analysis. But you have to determine whether it is a great experience for a user and whether the interface is intuitive and easy to use without someone having to google “How to use _______”.
Yearn in 2020 vs Yearn in 2022
2. Financial analysis
As a second layer I am now looking at financial metrics.
I think it goes without saying that you should take a look at a project's market cap and fully diluted value when trying to assess whether something is fairly valued.
This is the starting point for most people.
However, there are still a lot of retail users that don't do this.
In 2021 we had many retail users who were buying Shiba at ATH shouting “it’s going to $1!” because they don’t understand market caps.
For reference, Shiba has a circulating market cap of 16 billion right now, with a price of $0.00003025.
This tweet was a week ago.
Everyone likes to say FDV is a meme in a bull market and sometimes it is, but sometimes it really isn’t.
Looking at the Solana dapps they offer a valuable lesson in FDV.
If something’s FDV is wildly out of sync with where it is presently (no working product, hardly any users etc) you are asking for trouble.
Apeing Solana dApps at insane FDV did not end well.
This won’t apply to projects without a product, but it will apply to live Layer 1s, dapps and infrastructure.
You can use @tokenterminal to get:
–Revenue of a protocol
–P/E and P/S of protocols and dApps
You can then apply more traditional stock analysis tools to help you assess whether something is objectively over or undervalued based on current revenue.
If a protocol clearly has great earning potential, is demonstrating great growth & the P/S is very low then it could be solid long term investment.
There are few candidates on this list...
You could even use these numbers to help build a discounted-cash flow model.
This is a popular valuation model for stocks which discounts the current value of a business by the future cash flows a company can generate.
For this two rates are key – an expected growth rate and a prevailing discount rate.
Based on a pull of each, the cash flows are decided and a fair valuation is arrived.
Here is an example of a discounted-cash Flow model that tries to find what the minimum price should be for 1 $ETH.
The model spits out $10,200 per $ETH, suggesting Ethereum is highly undervalued.
Obviously, this model doesn’t take into account future changes to Ethereum, how L2s might impact demand etc., but it is still another useful tool to deploy when valuing an asset.
3. On Chain analysis
Lastly, I try and find out what is happening on chain.
–Number of addresses & active addresses
–Number of addresses with balances over certain amounts
–Number of long term holders vs short term holders
–Supply on exchanges
–Notable wallet holders
There are many more metrics you can pull from these platforms.
I would say you are trying to find any reasons why this might not be a good time to buy.
e.g if a large percentage of the circulating supply has moved to exchanges recently then that could suggest that people are planning on selling.
You now have a shit load of information on the project and token, which can help you make a decision on whether this is a good long term investment.
I compile all of this info into a combination of docs and sheets, so that I can have all of this information in one place should I need to refer back to any of it.
Don't try and keep all of this information in your head.
Write it all down.
You will want to reassure yourself at various points, especially when the red candles are flowing.
I also want to say I have poured hours into researching projects only to decide not to invest.
I am fine with this and content knowing that I've done my due diligence and have decided to miss out on my own terms.
With all this being said, I am just another anon with a passion for crypto.
This process has worked for me, but I am no financial advisor or expert.
Hopefully you found something in this thread useful.
If you enjoyed the thread, please give it a RT, follow my account @alpha_pls and consider subscribing to the free newsletter!
2/ The Lindy effect is a theorized phenomenon by which the future life expectancy of some non-perishable things, like a technology or an idea, is proportional to their current age.
3/ The Lindy effect proposes the longer something has existed the higher the chance it will continue to exist.
Every year that passes without extinction doubles the additional life expectancy. The robustness of something is proportional to its life.
3/ $NEAR allows developers to just deploy their app without thinking too much about how the infrastructure around it operates or scales, which is more like the modern clouds like Amazon AWS or GCP or Azure which drive almost all of today’s web applications.
1/ I'm a big fan of @POKTnetwork and what they are building, so I am pleased to say I have become a brand ambassador & will be creating more content related to $POKT over the coming weeks/months.
To kick off, let's dig in to how $POKT is doing currently.
A thread 🐙🧵👇
2/ Relays are going parabolic and recently hit a new daily ATH.
3/ Pocket Network is doing around 350 million relays each day.
$LOOKS has done more daily volume than OpenSea for 6 days in a row.
A few more observations 🧵👇
2/ The number of users on @LooksRareNFT continues to go north.
3/ OpenSea still completely dominates in daily transactions, but shows how much potential exists for @LooksRareNFT if they can also start to gain in this metric.