- فروری 29, 2020
- کی طرف سے پوسٹ کیا گیا: فاریکس وکی ٹیم
- قسم: مفت فاریکس ای اے
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![Babe Blade Algo EA -[Cost $1500]- Hight Profit withLow DD](https://forexwikitrading.com/wp-content/uploads/2020/02/2-b.jpg "Babe Blade Algo Ea -[لاگت $1500]- Hight Profit Withlow Dd")
ہیلو فاریکس وکی دوستو ,
Deep Learning Entry Point EA Description :
The Babe Blade Algo Expert Advisor is based on Neural networks and Deep Learning with special Algorithm to entry the market
* Features and some useful indicators
– Allow compound interest or Fix lots by user
– Spreads protection, using pending orders without market orders
– No grid, 1 order – maximum 2 orders at the same time
– No martingale
– A small Stoploss for every trade
– Combine with Ichimoku and MACD indicators
* Live Performance: https://priceactionscalping .com/performance/
تفصیل
The Babe Blade Algo Expert Advisor is based on Neural networks and Deep Learning with special Algorithm to entry the market
* Features and some useful indicators
– Allow compound interest or Fix lots by user
– Spreads protection, using pending orders without market orders
– No grid, 1 order – maximum 2 orders at the same time
– No martingale
– A small Stoploss for every trade
– Combine with Ichimoku and MACD indicators
* Setting
– Lots is Fixed (if this > 0.0) = 0.0 : If this field > 0 that mean do not allow compound interest bellow
– Lots per 1000 of balance (Compound interest) = 0.3
++ 0.3 If the leverage > 1:100, anything else please using this: Lots = Margin * فائدہ اٹھانا / Contract
++ Ex: EURUSD, Lots = 1000EUR * 30 / 100000 = 0.3 lots (should be < 0.3 – the balance is 1000EUR, Leverage=1:30)
– Minimum of lots size = 0.01
– Maximum of lots size = 60
– Max spreads to entry = 1.2 (in pips)
– MACD: Fast – Slow – SMA = 12,26,9 (Default – not change)
– Ichimoku: TekanSen – KijunSen – SenkouSpanB = 9, 26, 52 (Default – not change)
– Magic number = 20190001
– Comment = Babe Blade Algo v1.00
* RECOMMENDATIONS
– Broker: XM, ICMarket (low spreads)
– Pair: GBPUSD, EURUSD
– Time frame: ایم 1, M5
– Strategy Tester: Update “Max spreads to entry” higher than spread that you set
=> Test it carefully before apply on a live account
Deep Learning Entry Point EA Settings:
Deep Learning Entry Point EA Results:
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