Cleaning the P2P Market of Junk Offers
At CryptoScope, we ran into the classic P2P problem: the order book looks good, but in practice some offers can’t actually be executed. Sometimes the volume is tiny, sometimes the price feels like it came from a parallel universe, and sometimes the counterparty has been AFK for a long time.
In CryptoScope, we ran into the classic P2P problem: the order book looks good, but in practice some offers can’t actually be executed. Sometimes the volume is tiny, sometimes the price feels like it came from a parallel universe, and sometimes the counterparty has been AFK for a long time.
To keep spreads from looking “too good to be true,” we added filtering for such orders. The algorithm runs each offer through a set of checks: it looks for too little volume, unrealistic pricing, and counterparty inactivity. Suspicious offers are simply hidden from the results.
The result is a more honest view of the market: less noise, fewer false signals, and fewer cases of “found the perfect rate, but it was a ghost.” Against the backdrop of growing interest in data transparency and analytics quality in fintech, this is no longer a nice-to-have, but a baseline.