Mfana ka MkhontoFx

명시

Type:Expert advisor for MT4.
Name:  Moving average cross over Sell Entry: Bar0 bearish High > MA && Bar0 bearish Low < MA
Sell Filter: Bar1 bullish High > MA && Bar1 bullish Low < MA
Buy Entry: Bar0 bullish High > MA && Bar0 bullish Low < MA
Buy Filter: Bar1 bearish High > MA && Bar1 bearish Low < Ma.
Others: (a) Open sell trade if sell conditions agree
(b)Open buy trade if buy conditions agree
(c)Show pop-up notification.
Take-profit: Include trailing profit as take-profit.
Stop-loss: (a)Exist losing Sell trade if the current price is greater than the high of the Sell Entry
(B) Exist losing Buy trade if the current price is less than the low of the Buy entry

응답함

1
개발자 1
등급
(108)
프로젝트
177
25%
중재
24
17% / 75%
기한 초과
16
9%
무료
2
개발자 2
등급
(47)
프로젝트
67
37%
중재
5
40% / 40%
기한 초과
1
1%
무료
3
개발자 3
등급
(318)
프로젝트
565
35%
중재
81
31% / 44%
기한 초과
204
36%
무료
4
개발자 4
등급
(610)
프로젝트
708
33%
중재
45
44% / 42%
기한 초과
14
2%
로드됨
5
개발자 5
등급
프로젝트
0
0%
중재
1
0% / 100%
기한 초과
0
무료
비슷한 주문
EA Crafter 500+ USD
Act as a professional Quantitative Developer and Risk Manager. I want to build a systematic trading strategy rulebook that prioritizes capital preservation and statistical edge over raw performance. Please generate a structured trading strategy using the following framework: 1. ASSET CLASS & TIMEFRAME: - Asset: [e.g., Apple (AAPL), Bitcoin (BTC), or EUR/USD] - Timeframe: [e.g., 5-minute, 1-hour, Daily] 2. CORE
Title Professional AI Automation Trading Bot for Forex & Crypto Solution Language Python (preferred) or MQL5 depending on integration requirements. Categories Expert Advisor (EA) for MetaTrader 5 Automated trading strategies AI/ML-based signal generation Risk management automation Required Skills Strong knowledge of MQL5/Python Experience with MetaTrader API integration Machine learning model deployment

프로젝트 정보

예산
36+ USD