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Expert based on ATR

MQL4 Experts Trading robot/indicator debugging Panels and dialog boxes

Spécifications

Requesting an EA to open and close positions based on the Stop-And-Reverse indicator methodology with a filter setting.

Filter Setting:

  1. Filter = (FSC) Fractal channel stop (code for FCS will be provided)
  2. If price is below fractal channel stop consider sell trades only
  3. If price is above fractal channel stop consider buy trades only

Features:

  1. Risk% = 2% of Equity
  2. Initial Stop-loss = 100% of ADR(15)
  3. Automatic trade entry #1: Lot Size = 25% of Risk% at Filter plus break of the ATR(100); Take-profit = 2% of ATR(100); TP is based on ATR
  4. Automatic trade entry #2: Lot Size = 75% of Risk% at Filter plus break of the ATR(100); Take-profit = 3% of ATR(100); TP is based on ATR
  5. Move SL to BE; lock-in 5 pips after 10 pips moved
  6. Make SL and TP hidden to broker but visible on chart
  7. Screenshot when positions are open and closed; name convention: symbol/timeframe/opened_or_closed/date/trade_type/time

Input Panel Buttons:

  1. Manual Buy at Market or Buy Stop Order; Open Two positions; Lot Size = 25% of Risk%  and 75% of Risk%; SL = as per no.2 above; TP1=2% of ADR(15) and TP2 = 3% of ADR(15); TP is based on a % of ADR(15) not ATR
  2. Manual Sell at Market or Sell Stop Order; Open Two positions; Lot Size = 25% of Risk%  and 75% of Risk%; SL = as per no.2 above; TP1=2% of ADR(15) and TP2 = 3% of ADR(15); TP is based on a % of ADR(15) not ATR
  3. Reset Stop-loss to ex pips
  4. Reset Take profit to ex-pips
  5. Break-even button
  6. Close All button
  7. Screenshot bullet button
  8. Show spread

Additional Info to display on panel

  1. Header name of EA
  2. Risk %
  3. Risk amount
  4. Risk in pips
  5. ADR in pips


An image of a "Buy" sample is attached; i.e. Buy Entry (based on S&R crossover) with TP1 & TP2 (based on % of ATR at entry).


Thank you


Dossiers :

PNG
FractalTrendStalker.PNG
4.8 Kb

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Développeur 1
Évaluation
(53)
Projets
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Arbitrage
30
10% / 63%
En retard
22
30%
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Informations sur le projet

Budget
30+ USD
Pour le développeur
27 USD