We can see how the cycles of "overheating" and "cooling down", based on the lending/borrowing rates on AAVE, Compound
The current version (updated in June 2024) includes much more.
Namely, we first observe "the price of the money" (the first 4 charts).
What you can get in DAI DSR, AAVE and Compound for your stables (DAI, USDC and USDT)
Here you will notice the cycles of "heat", "cooling down" and (a kind of) "winter".
During "hot" times the rates for stables is very high, obviously above 10%, often spiking all the way up to 15-20% even.
This is high risk area, the top is being formed.
The bottoms are formed once we get down to "normal rates". They are about FED rate + max 2%.
To further analyse the market dynamic, we have the events of "repayments" (this is where the market participants feel worries about their borrowed stables) and also "liquidations", this is where the real pain is being enforced on the market participants.
Without the pain there is no real bottom.
Bitcoin whales chart provides you with key metrics about how Bitcoin is distributed among wallets. You'll see data like how many holders have certain amounts of Bitcoin and the total Bitcoin sum in those wallets. Traders can use this chart to understand market behavior better. For instance, a sudden increase in the number of small wallets might indicate a growing retail interest. On the other hand, a sizeable movement in large wallets, or 'whales,' may signify potential market shifts.
A bit limited at the moment set of the metrics, includes social dominance, trading volume and the place in the "trending topics".
Top values for the "Trending Social Rank", coinciding with the diverging social diminance (vs. price) might hint about the top formation
The positive sentiment and negative sentiment of Bitcoin on all social platforms, alongside the ratio of (Positive/Negative*Social Dominance) of Bitcoin.
We have developed the new data pipeline for ICP.
Here is the short example of what can be analysed.
The first chart is purely social data. Dominance and points of time when ICP discussions were strong in the crypto channels. So strong that it got to the top positions in our social tracking tool.
The three charts thereafter are on-chain metrics. Daily network activity, growth of ICP network and, finally, supply distribution.
Quite a surprise that the supply distribution looks healthy. Wide range of wallets holds the supply.
Tracking important events for BTC:
- Trading volume and onchain activity
- OI/FR changes
- Social volume/sentiment changes
- Age consumed - movement of long-term held coins
- Network Profit/Loss - realised PnL of all holders combined
- DEFI liquidations - collateral liquidated in major lending protocols
This layout helps to gauge potential for short- to mid-term performance if the coin based on social and onchain metrics. Things to look out for:
- Divergence between price and active addresses/network growth
- MVRV levels, especially negative
- Rapid increase in open interest
- Funding rate levels
- Spikes in social volume and sentiment
Beta version of SOL Memecoins, typical behaviour patterns.
List of available tokens:
1. bonk1 - bonk
2. dogwifhat - dogwifhat (very classic diverging top pattern, DAA + network growth)
3. ponke - ponke (March and April as the case to "when to hold", later divergencies start emerging)
4. book-of-meme - book of meme (vesting/staking contract?)
5. mew - cat in a dogs world (growing accumulation of the bigger wallets - additional risk to dump once the market turn)
6. popcat-sol - popcat(sol)
7. michi - michi (both Divergencies + supply/distribution. 100k started to dump, can't recover anymore, 1 mio started even earlier)
8. mumu-ing - mumu the bull (network growth divergence, combined big wallets show strong constant sell pressure, market is hard to grow)
9. gigachad-meme - gigachad (divergencies lately, big wallets pressing the market as well)
Understanding the Current Sentiment in the Crypto Market: 1) Profit Taking Analyse (wenn das steigt, dann deutet dies langsam auf den top hin); 2) Retail Balance Behaviour
