🚦Signals

Whenever a user creates a new offer, the app will suggest sharing it with other Earnie users. If the user agrees, they can supplement it with their technical analysis chart, text description, and photo or video content. If the user declines, the offer will be visible to them only, and other Earnie users will not see it unless the author changes their mind and publishes the offer publicly.

The offer posted publicly appears as a trading signal in the threads of other Earnie users. Each signal takes the whole screen, and users can scroll signals vertically, similar to TikTok posts. Signals might represent offers in different statuses: pending offer, open position, archived offer (closed or cancelled.)

Each signal will demonstrate the trade parameters, including personalized numbers for the amount proposed to invest and profit prognosis. Numbers are tailored based on the viewer's available deposit and the signal's risk management parameters, including stop-loss.

Viewers can like or comment on the signal. The author can engage in public discussions with viewers in the comments. Viewers can repost the offer by copying the signal's trade in one click or adjusting first the trade's parameters as they see fit. If the trade is profitable, the author of the original (inherited) offer will get a percentage of the profit.

Earnie users can view the public profiles of the signals' authors to see the history of previous trades and their financial results. All the history of every user's signals is publicly available to other Earnie users. No signal associated with closed trades (closed either by the author or other users) can be edited or deleted from the history.

Users can follow the authors they are interested in or set up automatic copying for their signals' trades. Initially, the auto-copied trades will inherit all the parameters of the original ones, with the trade amount calculated based on the available deposit and the signal's risk management parameters [*]. Later versions of the app will introduce features to spread the deposit between different traders in the preset proportion. Complete transparency of the trading history will help users to choose whom to follow and whose signals to implement in their trading strategies.

For the users who newly joined the app, the thread will show signals from the currently top-performing traders [*]. In the initial app release, users who already follow at least one trader will see only signals of traders they are subscribed to. The next app release is planned to introduce a proprietary algorithm for rating traders. The rating system will allow users' threads to mix subscription signals with signals of traders with the highest rating scores.

The traders' ratings will be affected by the following parameters:

• average returns;

• number of followers;

• number of followers auto-copying trades;

• number of offers per period;

• number of offer reposts per period;

• number of offer inheritances per period;

• amount of funds in auto-copy deposits;

• average signal engagement (views, likes, comments), and

• others.

Additionally, users will be able to set up filters for signals in their threads, including traders' rating scores and current profits, assets they are interested in, specific traders, etc.

Besides signals of original trades, the repost signals can also appear in the threads. When reposting the offer, the users will be suggested to share the repost publicly (publish a trading signal). Users following authors both of the original and repost signals will see only the original signal in their threads. Users following only the repost author will see only the repost signal.

Traders will be able to view their followers in their profiles. Future app releases will expand feature variety for follower management and analytics.