- 2월 29, 2020
- 게시자: 외환 위키 팀
- 범주: 무료 외환 EA
7 코멘트
2531
2329
![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 -[비용 $1500]- Hight Profit Withlow Dd")
안녕하세요 외환 위키 친구 ,
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
– 스프레드 보호, using pending orders without market orders
– 그리드 없음, 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/
설명
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
– 스프레드 보호, using pending orders without market orders
– 그리드 없음, 1 order – maximum 2 orders at the same time
– No martingale
– A small Stoploss for every trade
– Combine with Ichimoku and MACD indicators
* 환경
– Lots is Fixed (if this > 0.0) = 0.0 : 이 필드의 경우 > 0 that mean do not allow compound interest bellow
– Lots per 1000 균형의 (복리) = 0.3
++ 0.3 레버리지가 > 1:100, anything else please using this: 랏 = 마진 * 영향력 / 계약
++ 전: EURUSD, 랏 = 1000EUR * 30 / 100000 = 0.3 많이 (해야한다 < 0.3 – 잔액은 1000EUR입니다., 레버리지=1:30)
– Minimum of lots size = 0.01
– Maximum of lots size = 60
– Max spreads to entry = 1.2 (핍에서)
– MACD: Fast – Slow – SMA = 12,26,9 (Default – not change)
– Ichimoku: TekanSen – KijunSen – SenkouSpanB = 9, 26, 52 (Default – not change)
– 매직 넘버 = 20190001
– Comment = Babe Blade Algo v1.00
* RECOMMENDATIONS
– Broker: XM, ICMarket (낮은 스프레드)
– Pair: GBPUSD, EURUSD
– Time frame: M1, 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:
