I would link to get 1M data back to 2001 but I cant read russian.
Can anyone upload it here? www.fupload.com
Ya that would help for backtesting a lot.
I think it is enough for this week.
Next week I will finish "trade on Friday EA", will start "trade on Monday" and so on. And then will try to find the settings for the scalpers.
Some suggestions about portfolio is on the following posts:
1.1. D1 timeframe:
You may find everything here and here (EA, pre-set files and backtesting results).
GBPUSD (several pre-set files), AUDUSD, EURUSD, USDCAD, USDCHF, USDJPY.
1.2. H1 timeframe
Everything is on posts #5, 6 and 7.
GBPUSD, EURUSD, AUDUSD, USDCAD, EURGBP, EURCHF, EURJPY.
2.1. H1 timeframe.
GBPUSD (two pre-set files).
2.2. M15 timeframe.
GBPUSD (two pre-set files), USDCHF.
I can not find good pre-set for e-Friday for GBPUSD.
So let's keep it like this: EURUSd and USDCHF only.
it is here http://www.badongo.com/file/601377
EURUSD 1 Trade 0 pips
GBPUSD 1 Trade +60 pips
USDCAD 1 Trade +60 pips
AUDUSD 1 Trade +60 pips
EURJPY 1 Trade 0 pips
I think it is H1 timeframe?
Pricechannel Forward Testing
I have some forward testing (demo) results for Pricechannel Expert with the default settings that Newdigital posted earlier this thread. This is the first week.
I know this is only one week and is not indicative of anything, but it does follow similar results to what the backtesting seems to have done... So it looks promising!
Yes sorry H1 timeframe for all.
I attached PriceChannel and TradePower for testing. I use one copy of Metatrader for those two EAs (both in H1 timeframe). I did it already.
I understand this 3000-pips-total-leaders option as experimented one. We may test anything. Our task is to create the portfolios and I think the advertisement should be like this: set #1 did 100 pips for this month, set #2 did 240 pips for this month and so on.
I am in permanent backtesting process now.
e-monday eurusd optimised
Backtesting Dates: 2004.06.16 - 2006.05.05
Modelling Quality: 90%
Lots Traded 0.1
Profit Trades 45.98%
Average Profit per 0.1 lots = 79.05
Average Loss per 0.1 lots = 33.67
Maximal Drawdown 9.6%
Number of Trades: 98
Profit Factor 2.25
Backtesting Dates: 2001.01.08 - 2006.05.05 (Not a mistake)
Profit Trades 46.55%
Average Profit per 0.1 lots = 81.44
Average Loss per 0.1 lots = 36.27
Maximal Drawdown 14.9%
Number of Trades: 275
Profit Factor 1.96
Preset file and report attached