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Wrong trades with the EURUSD TICKS csv imported (MT5)

Posted: Fri Mar 11, 2022 9:23 am
by garman87
Hi,
i m experiencing Tickstory for the first time to try solving a historical tick limit from ICMarkets. It provides real ticks from 29 june 2021 only.
So in order to get precise backtest since 2017 to date, i tried downloading and using Tickstory. The main problem is that my automated strategy works on RSI signal, and works correctly with real ticks from the broker, while works wrong with the eurusd_ticks.csv downloaded from tickstory, even if i download them with timezone none, utc, utc+1, utc-1 , utc-2 nothing changes. i am using mt5 from italy.
hope somebody helps me :D
TICKSTORY TICKS IMPORTED IN CUSTOM " EURUSD T " SYMBOL :
2022.02.22 00:15:00 2 EURUSD T buy 0.07 / 0.07 0.00000 2022.02.22 00:15:00 filled Automatic Trader MT5
2022.02.22 02:37:31 3 EURUSD T sell 0.07 / 0.07 0.00000 2022.02.22 02:37:31 filled
2022.02.22 23:20:41 4 EURUSD T sell 0.07 / 0.07 0.00000 2022.02.22 23:20:41 filled Automatic Trader MT5
2022.02.23 01:33:21 5 EURUSD T buy 0.07 / 0.07 0.00000 2022.02.23 01:33:21 filled

ICMARKETS REAL TICKS IN EURUSD DEFAULT :
2022.02.22 01:05:00 6 EURUSD buy 0.07 / 0.07 0.00000 2022.02.22 01:05:00 filled Automatic Trader MT5
2022.02.22 02:05:14 7 EURUSD sell 0.07 / 0.07 0.00000 2022.02.22 02:05:14 filled
2022.02.22 23:00:07 8 EURUSD buy 0.07 / 0.07 0.00000 2022.02.22 23:00:07 filled Automatic Trader MT5
2022.02.23 02:13:19 9 EURUSD sell 0.07 / 0.07 0.00000 2022.02.23 02:13:19 filled

So , the EA made correct entries only on icmarkets real ticks (i have checked in visual mode) . how to correct tickstory to download suitable ticks?

Re: Wrong trades with the EURUSD TICKS csv imported (MT5)

Posted: Thu Mar 17, 2022 11:12 am
by tickstory
Hi Garman87,

It's not clear exactly what the issue is with the EA, however do note that the tick data will not be exactly the same as the data from IC Markets. This of course means that depending on how your EA operates, the trade signals could be different/triggered at different times.

The best approach is to take the first 1-2 trades that are occurring with both sets of data and understanding why this is.

Hope this helps.