Aleksei Grebenkin / Verkäufer

Multifunctional universal trading system . Suitable for all Forex and Crypto markets. ---- Franken.ex5 is additional executable used for trading with TS_DayTrader system. See the GUI version Frankenstein.ex5 and fast Frank.ex5 engine for optimization. You will find more info on the system in the descriptions there. Franken is built with features from both Frankenstein.ex5 and Frank.ex5: it is almost as fast as Frank(many features stripped off) but has the controls and statistics

Multifunctional universal trading system . Suitable for all Forex and Crypto markets. ----   Frank.ex5 [VERSION FOR OPTIMIZATION], fast engine for optimization of TS_DayTrader Trading System. Designed specifically for high-speed optimization in MT5 Tester. For [GUI VERSION] with graphical interface, see Frankenstein.ex5 . Both Frankenstein.ex5 and Frank.ex5 have automatic trading capabilities. Parameters(.set files) for Frank.ex5 and Frankenstein.ex5 are interchangeable.   Support

Multifunctional universal trading system . Suitable for all Forex and Crypto markets. ----   Frankenstein.ex5 [GUI VERSION], provides with graphical interface for TS_DayTrader Trading System. Features an extensive array of tools for manual and automated trading. For optimization capabilities, see Frank.ex5 [VERSION FOR OPTIMIZATION] - version for the MT5 Tester. Both Frankenstein.ex5 and Frank.ex5 have automatic trading capabilities. Parameters(.set files) for Frank.ex5 and Frankenst

iFrankenstein - an essential part of TS_DayTrader trading system( Frank.ex5 / Franken.ex5 / Frankenstein.ex5 ). The indicator provides with 10 pattern-based signals. For each of the 10 patterns there's a number of internal indicators and filters used: Fractals KeyLevels RSI Divergences BollingerBands ATR Technical Pocket Pattern-specific volatility filters The first 30 buffers of the indicator export a signal that consists of TakeProfit, StopLoss, Price values, for each of the 1

Indicator iPatterns.ex5 detects 8 different classes of volatility patterns. DD, SD, RD, SSD are the so-called "bottoms". DV, SV, RV, SSV are "peaks". User can set up an Alert to be notified about a new pattern detected. Parameters 'Pattern maximal height' and 'Pattern minimal height' work as filters. 'iBB period' and 'iBB deviation' parameters regulate performance of BollingerBands indicator - it provides one of the signals forming already mentioned above 8 patterns. iPatter

Сonverter for historical data files(TICKS) from external sources like ducascopy or others sources of non-standard .csv quotes. The output format is compatible with MetaTrader5 and can be imported to MetaTrader5. The script can process multiple files(batch), see parameter "Convert all files in folder Files/FrankEditor". User can choose output timeframe, months and other options. Input files should contain raw tick data and look like(UTC or EET time): GBPUSD_Ticks_2014.01.01_202

Сonverter for historical data files(2 files, Ask and Bid) from external sources like ducascopy or others sources of non-standard .csv quotes. The output format is compatible with MetaTrader5 and can be imported to MetaTrader5. The script can process multiple files(batch), see parameter "Convert all files in folder Files/FrankEditor". User can choose output timeframe, specific months and other options. 2 input files should look like(UTC or EET time): GBPUSD_1 Min_Ask_2017.01.01

Simple RSI indicator. User can choose TimeFrame for the RSI. For example, you are using chart with M5 data but want to see RSI from different fimeframe H4 drawn below the main chart window. RSIhtf.ex5(iRSI.ex5 - another name) (h = higher, tf = timeframe) is designed specifically for this case. Exports 1 buffer with indicator data. The indicator is part of TS_DayTrader system.

Signal provider based on RSI Divergences from a higher timeframe. First 3 buffers export a signal. Timeframe for which divergences are detected is optional, see 'RSI divergences timeframe' parameter. The indicator uses different algorithms for divergences detection: 'Fast' algorithm is the simplest solution that works the fastest. 'Strict' algorithm filters out more noise but works slower than the previous one. 'Full' algorithm uses recursive functions and provides with lots of d