Practical Usecase
Leveraging Argus for Trend Identification and Strategy Execution
Ryan, an experienced trader, has a hunch that the next big trend will revolve around frog-themed tokens, following the success of a wildly popular token. To capitalize on this potential trend, Ryan uses Argus’s comprehensive suite of tools to stay ahead of the market. First, Ryan utilises Argus’s AI chat feature to monitor the market for tokens related to frogs in any way. Argus begins to check each newly deployed token for any association with frogs, sending him notifications when they are detected. By the end of the day Argus has identified 11 frog-themed tokens, with most having good to exceptional performance, reinforcing Ryan’s belief in the emerging trend.
With his belief that this trend is starting, Ryan looks back using Argus’s historical data to find similar trends, eventually landing on the dog-themed phase of late 2021. By examining this data from the inception, peak, and eventual decline of that phase, Ryan gains valuable insights, such as the average token's performance and time till peak volume during that trend.
Using this historical data, Ryan then employs Argus’s AI to create a series of filters and backtest each against that period, eventually selecting the one that would have yielded the highest returns. Confident in his strategy, he sets these filters to alert for any future tokens which match them.
From the data, Ryan notes that during the dog token trend, the average token related to this trend achieved a 500% return from start to peak. With this knowledge, he configures the Autotrader to invest 0.1 Ethereum (or the maximum amount) in any token matching his filters. He then sets it to sell when the token reaches a 500% gain while retaining 10% of the investment for potential further gains.
By utilising Argus’s personalised notifications, AI-Driven filter creation, historical analysis and backtesting along with its automated trading features, Ryan has effectively positioned himself to profit from this approaching trend. Here, Argus has empowered a user to identify trends, validate them with recent and historical data, optimised their trading strategies, and finally executed this strategy through automation of their trades.
This scenario demonstrates how Argus’s extensive toolset can help traders uncover and exploit profitable opportunities in the market early on.
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