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.
Script de código aberto
Em verdadeiro espírito do TradingView, o criador deste script o tornou de código aberto, para que os traders possam revisar e verificar sua funcionalidade. Parabéns ao autor! Embora você possa usá-lo gratuitamente, lembre-se de que a republicação do código está sujeita às nossas Regras da Casa.
Aviso legal
As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.
Script de código aberto
Em verdadeiro espírito do TradingView, o criador deste script o tornou de código aberto, para que os traders possam revisar e verificar sua funcionalidade. Parabéns ao autor! Embora você possa usá-lo gratuitamente, lembre-se de que a republicação do código está sujeita às nossas Regras da Casa.
Aviso legal
As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.