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Evren
Quantitative Analyst | Algorithmic Trading Systems Developer
I build systematic trading strategies and trade discretionary when market conditions call for it—combining macro context, quantitative research, and disciplined risk management.
Over the past years, I’ve worked as a solo trader, proprietary trader, and quant/algo trader, focusing on FX and CFD markets. I design, backtest, and evaluate trading models for real-time decision-making, with strong attention to signal robustness, regime sensitivity, execution realism, and risk-adjusted performance.
Core Competencies:
* Research & Model Development: Hypothesis-driven strategy design, feature engineering, and signal validation.
* Robust Testing: Out-of-sample evaluation, scenario analysis, stress testing (Monte Carlo), and strict overfitting controls.
* Market Analysis: Translating economic data into actionable regime views.
Founder | The Next Tick Algo Systems
Focused on creating institutional-grade tools for retail traders. My goal is to bridge the gap between professional quant strategies and accessible automated trading.
I am open to collaboration on serious quantitative research and fintech projects.
Quantitative Analyst | Algorithmic Trading Systems Developer
I build systematic trading strategies and trade discretionary when market conditions call for it—combining macro context, quantitative research, and disciplined risk management.
Over the past years, I’ve worked as a solo trader, proprietary trader, and quant/algo trader, focusing on FX and CFD markets. I design, backtest, and evaluate trading models for real-time decision-making, with strong attention to signal robustness, regime sensitivity, execution realism, and risk-adjusted performance.
Core Competencies:
* Research & Model Development: Hypothesis-driven strategy design, feature engineering, and signal validation.
* Robust Testing: Out-of-sample evaluation, scenario analysis, stress testing (Monte Carlo), and strict overfitting controls.
* Market Analysis: Translating economic data into actionable regime views.
Founder | The Next Tick Algo Systems
Focused on creating institutional-grade tools for retail traders. My goal is to bridge the gap between professional quant strategies and accessible automated trading.
I am open to collaboration on serious quantitative research and fintech projects.
Evren Caglar
Turning $1k initial capital to $12.8k in 3.5 years with Institution Breaker...
Professional approach in trading and 'true' risk diversification yields nearly x13 return of initial capital with just 1k max risk! I have prepared an example portfolio for 1k equity with 4 instruments and with our 4 different EAs: Cipher Gold, Cipher Chase, Cybele Unbound and Secutor EAs.
All cost on these 4 EAs is not even $300. Most developers sell more expensive EAs that will bring you only LOSS or huge DD...For all these 3.5 years the maximum drawdown of this portfolio is computed as $1061 and it happened in only ONE occasion...Aren't they great numbers and this x13 return opportunity and safety are provided you so cheap?
Professional approach in trading and 'true' risk diversification yields nearly x13 return of initial capital with just 1k max risk! I have prepared an example portfolio for 1k equity with 4 instruments and with our 4 different EAs: Cipher Gold, Cipher Chase, Cybele Unbound and Secutor EAs.
All cost on these 4 EAs is not even $300. Most developers sell more expensive EAs that will bring you only LOSS or huge DD...For all these 3.5 years the maximum drawdown of this portfolio is computed as $1061 and it happened in only ONE occasion...Aren't they great numbers and this x13 return opportunity and safety are provided you so cheap?
Evren Caglar
Is AI lying to me?
Scientists warn of growing capacity for deception. They can outwit humans at board games, decode the structure of proteins and hold a passable conversation, but as AI systems have grown in sophistication so has their capacity for deception, scientists warn.
The analysis, by Massachusetts Institute of Technology (MIT) researchers, identifies wide-ranging instances of AI systems double-crossing opponents, bluffing and pretending to be human. One system even altered its behaviour during mock safety tests, raising the prospect of auditors being lured into a false sense of security.
“As the deceptive capabilities of AI systems become more advanced, the dangers they pose to society will become increasingly serious,” said Dr Peter Park, an AI existential safety researcher at MIT and author of the research.
Scientists warn of growing capacity for deception. They can outwit humans at board games, decode the structure of proteins and hold a passable conversation, but as AI systems have grown in sophistication so has their capacity for deception, scientists warn.
The analysis, by Massachusetts Institute of Technology (MIT) researchers, identifies wide-ranging instances of AI systems double-crossing opponents, bluffing and pretending to be human. One system even altered its behaviour during mock safety tests, raising the prospect of auditors being lured into a false sense of security.
“As the deceptive capabilities of AI systems become more advanced, the dangers they pose to society will become increasingly serious,” said Dr Peter Park, an AI existential safety researcher at MIT and author of the research.