✨Introduction

Gains Network is hard at work on gTrade, a decentralized, leveraged trading platform that is both powerful and simple to use. With their one-of-a-kind synthetic architecture, gTrade can offer lower trading fees and a wider variety of leverages and pairs than any other platform out there, including up to 150x on cryptocurrencies, 1000x on forex, 100x on stocks, and 35x on indices.

Synthetic trades on gTrade are supported by the DAI vault, which stores digital assets and provides access to liquidity. Instead of having individual liquidity pools for each asset pair, gTrade's single vault (currently on Polygon with $20M+ DAI) acts as the counterparty for all trades executed on the platform. Read More...

🛠️ Method

This dashboard is built on three pages, which provide an overview of Gains Network's total state, NEAR/USD pair assessment, newly listed tokens, and a parameter tab where you can choose your desired token pair to see its trend on this platform. To create this dashboard, I used the Flipsidecrypto database on two networks where the platform has been launched: Arbitrum and Polygon.

There are five types of orders for each long and short position, two related to the market (including open and closed position orders) and three related to limit (limit, stop-loss, take profit, and liquidation). Each transaction includes a log that contains comprehensive information about each order. I decoded the DATA column corresponding to each of these logs using the SUBSTR and ethereum.public.udf_hex_to_int functions.

This way, I tried to track user interactions and volume trades on NEAR/USD and other pairs.

Open position order: An order to enter into a new position in the market at the current price.

Closed position order: An order to exit a current position in the market at the current price.

Limit order: An order to buy or sell at a specified price or better.

Stop-loss order: An order to sell a security when its price falls to a certain level, in order to limit losses.

Take profit order: An order to sell a security when its price rises to a certain level, in order to lock in profits.

Liquidation order: An order to close a position at a certain price in order to limit losses beyond a certain point.

🌡️ Analysis

✍🏻 Conclusion

Based on the results, it seems that the market sentiment around the NEAR token is bullish, as the majority of trades in the assessed assets have been in the long position. The NEAR/USD pair has had the highest volume in long positions compared to other assessed assets, indicating that traders are more optimistic about the future price of NEAR.

In terms of comparison with other assets listed on gTrade, AVAX/USD has shown the highest trade volume, trade count, and trader count through two position types, which may indicate that this asset is currently more popular among traders on the platform compared to others.

However, it is worth noting that the newly listed assets have only been available for a short period of time, and their popularity may change as more data becomes available over time. Nonetheless, the results suggest that NEAR is still a popular asset among traders on the platform, with a strong bullish sentiment.

Hey there 👋!

Firstly, I appreciate you sticking with it until the conclusion.

I'm Hamed, a civil engineering Ph.D.

student interested in data analysis.

I've made many similar dashboards and visualizations since I started at Flipside in January.

Please take a look at my various contact details and let me know what you think.

About:

• Author: HaM☰d

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• Discord: 0xHaM☰d#8391

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• Twitter: @arjmandi_hamed

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• Email: h_arjmandi2012@yahoo.com

🔥 Network Overview

The current dashboard deals with the Gains platform over the past 3 months. Although the platform was initially launched on Polygon, the growth of Arbitrum has been more noticeable. Based on the represented visuals, the trader count and trade volume have dramatically increased on the Arbitrum network.

Over the past 3 months, most traders tend to enter into long positions, resulting in more transactions and higher trade volumes.