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My name is Mehnoosh Karimi, and I am based in Georgia. I have over 12 years of experience in trading, data science, machine learning, and applying artificial intelligence to technical analysis for traders.
Together with my colleagues at TradingFinder, a team of developers and programmers specializing in indicators, oscillators, and trading strategies, we are actively creating and optimizing new code and advanced analytical tools.
I work extensively with C# for NinjaTrader, MQL4/MQL5 for MetaTrader 4 and 5, and Pine Script for TradingView. I am also a core member of the TradingFinder team, where we develop advanced tools, indicators, and data-driven solutions for traders.
To date, I have created and published more than 138 scripts on TradingView, covering areas such as Harmonic Patterns, Elliott Wave Theory, Classical Technical Analysis, Smart Money Concepts (SMC), and ICT methodologies. These tools are designed to help traders identify market structure, price behavior, and institutional flows with greater accuracy.
Over the past three years, I have worked extensively with Level 2 and Level 3 market data, conducting in-depth research on order flow, liquidity dynamics, and real-time market microstructure.
My current focus is on optimizing these tools to build a more intelligent, data-enhanced trading environment that integrates classical patterns with modern Smart Money and ICT-based insights.
My goal is to bridge the gap between quantitative data science and discretionary technical analysis, creating tools that are both intuitive and highly precise.
In the new tools we are developing, AI plays a major role. We are working to bring enhanced data-driven capabilities into the popular MetaTrader 4 and 5 platforms to support traders in making smarter trading decisions.
Feel free to explore our indicators, you can test the paid ones in demo mode and expect to see many innovative and advanced tools from us in 2026.
Together with my colleagues at TradingFinder, a team of developers and programmers specializing in indicators, oscillators, and trading strategies, we are actively creating and optimizing new code and advanced analytical tools.
I work extensively with C# for NinjaTrader, MQL4/MQL5 for MetaTrader 4 and 5, and Pine Script for TradingView. I am also a core member of the TradingFinder team, where we develop advanced tools, indicators, and data-driven solutions for traders.
To date, I have created and published more than 138 scripts on TradingView, covering areas such as Harmonic Patterns, Elliott Wave Theory, Classical Technical Analysis, Smart Money Concepts (SMC), and ICT methodologies. These tools are designed to help traders identify market structure, price behavior, and institutional flows with greater accuracy.
Over the past three years, I have worked extensively with Level 2 and Level 3 market data, conducting in-depth research on order flow, liquidity dynamics, and real-time market microstructure.
My current focus is on optimizing these tools to build a more intelligent, data-enhanced trading environment that integrates classical patterns with modern Smart Money and ICT-based insights.
My goal is to bridge the gap between quantitative data science and discretionary technical analysis, creating tools that are both intuitive and highly precise.
In the new tools we are developing, AI plays a major role. We are working to bring enhanced data-driven capabilities into the popular MetaTrader 4 and 5 platforms to support traders in making smarter trading decisions.
Feel free to explore our indicators, you can test the paid ones in demo mode and expect to see many innovative and advanced tools from us in 2026.