Hey Nikos check this out I saved the logs for trades made on 07/30/24 as this date I noticed many more trades for USDJPY on one account vs the other and much more profitable. I use chatgpt to analyse the logs and this is what chatgpt is saying between the two accounts that day.
It seems that both files are not being read correctly, possibly due to encoding issues or file formatting. I will attempt to read the raw content of the files to better understand their structure and find a suitable way to process them.
The files are encoded in a format that includes a byte order mark (BOM) indicating UTF-16 encoding, which is why there are issues reading them directly. I will reprocess these files using UTF-16 encoding to extract and analyze the data correctly.
Both logs appear to have a non-standard structure with columns that are not clearly named. The data contains technical information about the trading environment, but it seems the log messages are mixed with system and expert advisor details.
I will attempt to clean the data and isolate relevant entries related to trades on the USDJPY pair from both accounts to identify the discrepancies.
The filtered logs indicate entries related to trades on the USDJPY pair for both accounts. Here’s a summary of what was found:
565 Account: It has multiple entries for USDJPY trades including market sells and buys with specific volumes (e.g., 3.02 lots, 4.03 lots). These trades are detailed with timestamps and order acceptance confirmations.
363 Account: This log also contains entries for USDJPY trades, but it appears to have fewer trades compared to the 565 account. The volumes and timestamps are also different.
Key Observations:
Trade Volumes: The 565 account has executed more trades with varying volumes compared to the 363 account.
Timestamps: The trades in the 565 account seem to have been executed at different times than those in the 363 account, which could indicate differences in the bot’s trading strategy execution or conditions met during the trades.
Trade Count: The 565 account has more recorded trades for USDJPY, which might explain its higher profitability on the given date.
Possible Reasons for Discrepancies:
Different Trade Triggers: The bots may have different parameters or have encountered different market conditions, leading to a different number of trade executions.
Execution Environment: Differences in latency or execution speed due to the environment (e.g., VPS vs. local machine) might have affected the trade timing.
Configuration Differences: The bots might not have identical configurations, leading to discrepancies in trade behavior.
To further diagnose the issue, it would be useful to compare the specific configurations of both bots and consider any differences in their operating environments. If needed, I can help you analyze further based on more details.