I am writing this review to seek technical clarification from The5ers regarding a specific execution issue (Ticket #7060LB). While I value the firm's reputation, I encountered a significant data discrepancy that raises concerns about transparency.
During a high-impact news event (NFP), my Stop Loss was triggered at 160.002, while the MT5 Data Window on my terminal recorded a High Ask of only 159.845 (High 159.837 with a 0.8-pip spread).
I would like to highlight the following technical points:
Market Cross-Reference & Live Experience: At the exact same time, I had active trades on other platforms like FTMO and Vantage with the same Stop Loss at 160.000. On those platforms, my trades remained open as their market High only reached 159.793. Furthermore, raw tick data from Dukascopy confirms the institutional Ask price was only 159.712 at that exact second. This 20-30 pip deviation suggests an isolated server-side spike at The5ers rather than broader market liquidity.
Data Synchronization in a 1-Minute Candle: The5ers explained that the 0.8-pip spread in the Data Window only reflects the "closing tick." However, their internal Tick History shows multiple intermediate price steps reaching 160.002 within that same 60-second window. If the system recorded these steps internally, it is highly irregular that the Data Window provided to the trader failed to reflect any of this volatility, misleading me into believing the spread was stable at 0.8 pip.
Transparency & Raw Logs: To verify the legitimacy of this 15.7-pip gap, I requested the Raw Tick Logs (CSV/Excel). Unfortunately, the firm stated they could not provide this format, offering only screenshots instead. Without access to raw data, it is impossible for a trader to independently audit whether this was a legitimate market move or a technical "Bad Tick."
Conclusion:
Executing trades at "invisible" prices that contradict the displayed terminal data and differ significantly from major competitors and institutional feeds creates an unfair trading environment. I am looking for a fair resolution and hope a Senior Risk Manager can re-evaluate this case based on the principle of data integrity and fairness.
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