OPEN-SOURCE SCRIPT
Evo Market Decision Engine (EMDE)
Evo Market Decision Engine (EMDE) is an experimental market-reading tool designed to combine multiple layers of analysis into a single visual and decision-oriented indicator.
The idea behind this tool is simple: to provide a working framework capable of combining structure, flow, momentum, market regime, sentiment, multi-timeframe alignment, and probabilistic reading in order to produce a more synthetic view of the current market context.
The indicator includes:
- a kernel-smoothed price base
- price excess detection
- buyer / seller flow reading
- pivot-based structural analysis
- flow toxicity and market regime measures
- an adaptive scoring engine
- a multi-timeframe filter
- a simulated “footprint” reading block
- an NQ100 sentiment model based on major large-cap stocks
- a full dashboard with probability, bias, filters, and signals
The goal is not to provide an absolute truth, but to offer a decision-support engine capable of synthesizing multiple signals into a single analytical framework.
Important: I do not recommend following the positions or signals generated by this tool as-is.
I mainly used it as a working base, idea lab, and study framework, not as a ready-to-trade turnkey tool.
I am sharing it anyway because it may be useful for some of you, whether to understand the logic, study the code structure, modify certain blocks, or use it as a starting point to develop something else.
The source code is open, so everyone can do whatever they want with it: study it, adapt it, improve it, simplify it, or simply use it as inspiration.
The idea behind this tool is simple: to provide a working framework capable of combining structure, flow, momentum, market regime, sentiment, multi-timeframe alignment, and probabilistic reading in order to produce a more synthetic view of the current market context.
The indicator includes:
- a kernel-smoothed price base
- price excess detection
- buyer / seller flow reading
- pivot-based structural analysis
- flow toxicity and market regime measures
- an adaptive scoring engine
- a multi-timeframe filter
- a simulated “footprint” reading block
- an NQ100 sentiment model based on major large-cap stocks
- a full dashboard with probability, bias, filters, and signals
The goal is not to provide an absolute truth, but to offer a decision-support engine capable of synthesizing multiple signals into a single analytical framework.
Important: I do not recommend following the positions or signals generated by this tool as-is.
I mainly used it as a working base, idea lab, and study framework, not as a ready-to-trade turnkey tool.
I am sharing it anyway because it may be useful for some of you, whether to understand the logic, study the code structure, modify certain blocks, or use it as a starting point to develop something else.
The source code is open, so everyone can do whatever they want with it: study it, adapt it, improve it, simplify it, or simply use it as inspiration.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.