Analyst Warns Prediction Markets Favor Insiders, Traders At Risk

• The analyst alerted that around 99% of retail users on prediction markets may be at risk of losing capital.
• The report also mentions market volume poses an extra challenge for traders.
  

An analyst has claimed that prediction markets such as Polymarket automatically recommend data-rich insiders, due to which most retail traders are exposed to loss, fake volume and behavioural traps. 

The analyst also alerted that around 99% of retail users on prediction markets may be at risk of losing capital because of structural advantages giving favour to insiders having access to real-time data, as per the recent analysis. 

DANNY, a prominent analyst who conducted an investigation and published via independent research channels, mentions increasing concerns regarding information asymmetry and artificial volume signals over platforms like Polymarket as weekly trading volumes touch billions of dollars. 

The analysis further mentions that prediction markets have experienced a fundamental shift in dynamics as they grow. If we delve into the history, the smaller markets are permitted informed analysis to navigate accurate predictions.

Contract outcomes on these markets mainly rely on news announcements or official updates, permitting individuals having early access to take action before the wider market gets the information. 

The analysis quoted that a trader known as Alpha Raccoon earned more than $1 million by using Google search trend data. The analyst mentions that the probability of precisely predicting such results without early data access is low, indicating that internal information may have been used. 

The report also mentions market volume poses an extra challenge for traders. High volume levels can create the perception that a result is certain, allowing users to follow apparent trends. Last year, a study was conducted by Columbia University which resulted in the finding that 60% of volume-based signals were misleading, influenced by strategies made to manipulate perception instead of reflecting actual market confidence, as per the report. 

The analysis also suggests that retail users should be alerted before participating in prediction markets.  Traders are also suggested that they should review contract terms carefully, mainly the designated data sources that regulate outcomes. 

Analysing data timing and nature can aid in avoiding entering positions based on false assumptions, as per the report. 

Highlighted Crypto News Today:

BitMine to Launch MAVAN Backed by $12B Ethereum Treasury