Weather in Financial District of NEAR City
It’s autumn in the Northern Hemisphere. What season is it in the City of NEAR?
📜 Introduction
In this dashboard we once again examine the financial district and check its weather, to see whether the winter has reached this district or not.
- At First, we look at the overall market sentiment.
- In the next step, we will take a look into swapping on REF and NFT sales on PARAS.
- Finally we will take a look at the main financial hub on NEAR, Burrow protocol and examine changes in liquidity and borrows.
🤔 Approach
Data Source and Tables
To conduct our study, we are using blockchain data provided by Flipside Crypto. From their datasets, following tables are used:
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near.core.fact_transactions
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near.core.fact_transfers
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near.core.fact_receipts
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near.core.fact_actions_events_function_call
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Methodology
By combining the data on the fact_transactions
and fact_actions_events_function_call
tables, the required data for this analysis were collected. The contract address related to different operations on the platform and their subsequent method name on the tables were determined by directly interacting with the protocol.
The symbol and USD price of tokens available for depositing and borrowing on the protocol were selected using the fact_prices
table. It is worth mentioning that due to the absence of token prices during the measured period, their price was averaged for the whole period. Although it might seem inaccurate, because of the price fluctuations since the beginning of the year, and the existence of precise price data in recent time frames, the analysis was conducted using the overall average to have a near-reality estimate of liquidity for each of the tokens.
References
This work is heavily based on Pinehearst’s and Alitaslimi‘s NEAR Financial District analysis. Some SQL is directly used from these dashboards.
Alitaslimi Dashboard:
Pinehearst’s dashboard:
Study Period
To conduct our study, we are using all the data available since past 90 days.
🔎 Summary
For almost a year the markets have been in a downtrend state. In this study we could hope for some uptrends and good omens to declare the end of downturn. As we saw in this study, NEAR ecosystem financial market statistics shown either downtrend or stagnation. some of our findings:
- Overall, a negative market sentiment and decrease in BTC and NEAR prices.
- Increased borrow of stablecoins.
- Stagnation in NFT sales.
- Decrease in Burrow TVL.
In short, Winter is here. 🧊
Liquidity on Burrow
Following charts show the daily amount of liquidity, borrow and collateral in the past 90 days.
It can be seen that:
- Liquidity was decreasing, but all of a sudden WOO comes to the rescue and with its coming the average Liquidity doesn’t dip much.
- Borrows were in a slight decline, but again WOO changes the game, between Sep 20 and Oct 10, the borrow volume increased.
- The last chart shows that although WOO increased liquidty of the protocol and was borrowed in high amounts, yet it was not really used as collateral
It should be noted that WOO was listed on Sep 9.
:bank: Market performance on Burrow Cash
The first chart depicts the value locked in the Burrow protocol, First thing that can be seen is the significant decrease in TVL, as well as, collateral and liquidity in this platform.
The second chart depicts the utilization ratio, utilization ratio tells what proportion of the assets on Burrow is being currently used. Users can deposit their asset with the option to use them as collateral. (Collateral is a subset of the TVL)
Utilization ratio has increased in the past few weeks, which means more users are using their assets to borrow.

Utilisation ratio
As already defined, utilisation ratio tells what proportion of the assets on Burrow is being currently used. Users can deposit their asset with the option to use them as collateral. (Collateral is a subset of the TVL)
Utilisation of stablecoins have increased in the past few days. utilisation of tokens such as LINEAR and WBTC didn’t increase, WETH saw an increase followed by a massive drop in utilisation.
As trust in markets decreases, users tend to accumulate more stablecoins. These changes can be seen as a negative effect on the market.
