Olas Predict Actual Performance
This app shows the actual performance of Olas Predict tools on the live market.
Trend of weekly trades
Weekly percentage of winning for trades based on ๐ Olas traders
Weekly percentage of winning for trades based on non-Olas traders
โ๏ธ Weekly trading metrics for all trades
Description of the graph
These metrics are computed weekly. The statistical measures are:
- min, max, 25th(q1), 50th(median) and 75th(q2) percentiles
- the upper and lower fences to delimit possible outliers
- the average values as the dotted lines
Weekly trading metrics for trades coming from ๐ Olas traders
Definition of Olas trader
Agents using Mech, with a service ID and the corresponding safe in the registry
Description of the graph
These metrics are computed weekly. The statistical measures are:
- min, max, 25th(q1), 50th(median) and 75th(q2) percentiles
- the upper and lower fences to delimit possible outliers
- the average values as the dotted lines
Weekly trading metrics for trades coming from Non-Olas traders
Definition of non-Olas trader
Agents using Mech, with no service ID
Description of the graph
These metrics are computed weekly. The statistical measures are:
- min, max, 25th(q1), 50th(median) and 75th(q2) percentiles
- the upper and lower fences to delimit possible outliers
- the average values as the dotted lines
Weekly trading metrics for trades coming from Unclassified traders
Definition of unclassified trader
Agents (safe/EOAs) not using Mechs
Description of the graph
These metrics are computed weekly. The statistical measures are:
- min, max, 25th(q1), 50th(median) and 75th(q2) percentiles
- the upper and lower fences to delimit possible outliers
- the average values as the dotted lines
Trades conducted at the Pearl markets
Trades conducted at the Quickstart markets
Trades conducted irrespective of the market
All tools winning performance
Daily mech requests by each tool in Pearl markets
Daily mech requests by each tool in Quickstart markets
Winning performance by each tool
Tools accuracy ranking
The data used for this metric is from the past two months. This accuracy is computed based on right answers from the total requests received.
Weighted accuracy ranking per tool
This metric is an approximation to the real metric used by the trader since some parameters are only dynamically generated.
The data used for this metric is from the past two months. This metric is computed using both the tool accuracy and the volume of requests received by the tool. The minimum value of this custom metric is 0 and the maximum value is 1. The higher the better is the tool.
Mech requests percentage of the top three tools from the daily total (only for Pearl Agents)
Daily distribution of invalid trades
Top markets with invalid trades
title | nr_invalid_trades |
|---|---|
Will President Trump announce the implementation of 100% secondary tariffs on countries trading with Russia by September 5, 2025? | 927 |
Daily distribution of invalid markets
All tools errors
Error percentage per tool
Weekly Error distribution per Mech address
Tools distribution of errors per week
Olas is a network of autonomous services that can run complex logic in a decentralized manner, interacting with on- and off-chain data autonomously and continuously. For other use cases check out olas.network. Since 'Olas' means 'waves' in Spanish, it is sometimes referred to as the 'ocean of services' ๐. The project is co-created by Valory. Valory aspires to enable communities, organizations and countries to co-own AI systems, beginning with decentralized autonomous agents.
This dashboard is pulling data from the omen subgraph during some specific time window. The selected time window is two months ago from current time.
As the data is distributed by weeks, it is possible that some weeks contain incomplete data not showing the total volume of information. This is in particular relevant for:
- the first week: since we might have started collecting information not from the beginning of the week.
- the last week: some markets have not been closed yet and the information is not published yet.