EA to backtest scalp trading with focus on maximising frequency of trades

Specification

My EA is specifically for hedging trading platform where both buys and sells can be done in same symbol.

Any symbol offered by CFD broker will be traded.

It will be a simple EA mainly for backtesting and forward testing purpose to find out which could be optimum size of executing the number of trades (frequencies) in a row . 

TP, SL , Equity Loss , Equity profit will be exit points.

1. Ticks are filtered by seconds delay or Pips distance and by Directional filter by having Buying % with its own TP and SL. 

2. Entries will be classified into two trades entered into same time in buying % selected.If 100% or 0% buying direction is selected, only One single direction trade will happen.

If directional buy is different than 100% or 0% two trades of Long and Short can be entered with different TP and SL.

3. Once all Longs or Shorts exit by TP, floating loss positions will be treated as Reverse Trade and their TP and SL will be reset to 0 or with new values inputted.

If defined by variables, Reverse Trade will wait for a Distance Step measured in Pips or Time Distance measured by minutes before changing TP and SL 

4. Visual display required for Boxes showing High Low of Chart TF selected along with count of pips for that box..

5. Chart will also display candles of user defined Pip Size by thick paint . 

SL will rarely be used as exit could be by equity loss or end of time.

6. Entire focus is continuing frequency of trades so as to trade at least 

 Frequency has a big role to play in the kind of scalp trading envisaged.  Backtesting will focus on it for optimisation. 

Want to execute minimum of 120 trades in selected 4 hour time in chart TF1. 

Entry will be triggered by buying% after having some kind of confirmation of directional bias by using  ATR and pip distance step . 

Exit will be by (a) TP (b) SL (c) Equity Loss or Profit (d) end of  time box.

Responded

1
Developer 1
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Developer 2
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Project information

Budget
30+ USD
Deadline
from 2 to 5 day(s)