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.
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuyla, bu komut dosyasının mimarı, yatırımcıların işlevselliğini inceleyip doğrulayabilmesi için onu açık kaynaklı hale getirdi. Yazarı tebrik ederiz! Ücretsiz olarak kullanabilseniz de, kodu yeniden yayınlamanın Topluluk Kurallarımıza tabi olduğunu unutmayın.
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, alım satım veya diğer türden tavsiye veya öneriler anlamına gelmez ve teşkil etmez. Kullanım Koşulları bölümünde daha fazlasını okuyun.
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuyla, bu komut dosyasının mimarı, yatırımcıların işlevselliğini inceleyip doğrulayabilmesi için onu açık kaynaklı hale getirdi. Yazarı tebrik ederiz! Ücretsiz olarak kullanabilseniz de, kodu yeniden yayınlamanın Topluluk Kurallarımıza tabi olduğunu unutmayın.
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, alım satım veya diğer türden tavsiye veya öneriler anlamına gelmez ve teşkil etmez. Kullanım Koşulları bölümünde daha fazlasını okuyun.