Sansheets Pro Templates
- Maximal Mean Dollar Age Template
- Top Holders Template
- NVT Template
- Price-DAA Divergence Template
- Network Growth & Daily Active Addresses Template
- MVRV and MVRV Long/Short Difference Ratio Template
- Velocity Vs. Price Template
- Thresholds Crossed Template
- Most Profitable Days for Trading Cryptocurrency
- Distribution Index
- ETH-ERC20 Correlation Index
- Stablecoin Volatility Index
- Least Correlated Coins to BTC & ETH
As most of you know, Sanbase is a free to use platform to do research and study on-chain and behavioral analytics on the crypto markets. However, there is a paid version, known as "Pro", that unlocks many doors and models that our free users are unable to access. Take a look at the list of perks we offer to our Pro subscribers, and see all of the benefits that come with being an insider on our platform!
One of these perks is access to our Sansheets plugin and the various templates we have built with it. This article will give you an overview of these templates.
In case you are already a Sanbase Pro subscriber and want to copy these templates for yourself, please get in touch.
This template visualizes the Mean Dollar Age of Bitcoin, Ethereum and various ERC20 coins in comparison to one another.
Developed by Santiment, Mean Dollar Age calculates the average age of all dollars invested in acquiring a particular coin.
This metric identifies accumulation and sell cycles for any coin, and identifying dips in Mean Dollar Age can serve as a novel bullish indicator.
Crypto is still a whale's playground. This template monitors the behavior of the biggest addresses holding Ethereum as well as various ERC-20 coins.
The template includes a dozen views of top whales' behavior, including balance changes, big accumulation/sell-off events and week-to-week adjustments to total supply held.
This template calculates the NVT for BTC, ETH and several ERC-20 coins, and assigns a bullish/bearish value to its historical and present-day performance.
The idea behind the NVT is simple - if the value transferred on the network (token circulation) is too low relative to the network's valuation (market cap), the asset should be considered overvalued and due for a correction.
And vice versa - if the value transferred on the network is too high compared to its current valuation, NVT would deem the asset undervalued, and ripe for a breakout.
We have found that major differences in the coin's price and network activity trends can present opportune times to buy OR sell, depending on the trend's direction.
This template triggers BUY and SELL signals for Bitcoin and Ethereum based on major divergences in price and the amount of daily addresses interacting with the coin.
This template compares the amount of network growth and daily active address percentage changes of Bitcoin, Ethereum, and other projects over time. In general, many projects create new addresses at similar percentage rate to one another as markets ebb and flow. Identifying which projects are creating new addresses and growing their network at a faster rate than their price is generally an excellent strategy to find buy low opportunities.
The MVRV ratio is found by dividing the market cap (market value or MV) by realized cap (total realized value or RV), and it provides us with a solid estimate of just how overvalued or undervalued the current market cap is.
Additionally, we offer the MVRV Long/Short Difference comparison on this template to visualize which projects are over or under their line of average profitable traders. If the ratio is above 0%, then on average. Ethereum holders will profit if they sell their coins now. If it is below 0%, then the average holder will realize a loss if they sell.
Velocity is an underutilized way to research how quickly money is circulating in the crypto economy. It's calculated by dividing a token's transaction volume (in USD) by its market cap (in USD).
Similar to the Daily Active Addresses Template, this model visualizes when tokens are being overbought or oversold based on the historical ebbs and flows of its velocity metric.
Understanding how many times a price of a project has moved above or below a round number USD value, or a psychological barrier, can provide great perspective in understanding just how cyclical the cryptocurrency markets are. For those who believe that a cross above a certain level likely means that "it will never fall back below again" can be shown just how often prices have reset time and time again.
This template is great for understanding support levels, and where prices most commonly see a great deal of push and pull, along with psychological polarization among traders. It can be used well to your advantage.
As we've tested in the past, knowing which days have the best historical ROI can help reduce risk and craft effective market alphas.
This template determines the best trading days (historically) for any coin in the Santiment database, with adjustable time ranges for Pro users.
Our research has shown that distributed coins (supply dispersed among many addresses) tend to outperform concentrated coins (much of circulating supply held by 'whales').
This Index calculates the top 10 most distributed and most concentrated ERC-20 coins (within the top 50) over the last month.
Our previous analysis indicates that ERC-20 coins tend to be less correlated to Ethereum during the bull market, and exhibit higher correlation during the bear market.
This Index charts the correlation of ERC-20 market cap to the ETH market cap over the last 3 months.
Stablecoins are more volatile than you think. This presents a novel market opportunity, as one could theoretically invest in low-volatility stablecoins and trade outbreaks in their more volatile counterparts.
This Santiment Index ranks 15 biggest stablecoins from most to least volatile over the past 30 days.
According to our research, a portfolio of coins that are least correlated to both Bitcoin and Ethereum tends to perform particularly well during the bull cycles.
This Index calculates the 20 least correlated coins to BTC & ETH over the past 30 days.