Ugur – Ugur Candan

The Autonomous Enterprise Architecture for SAP and NemoClaw

Posted on 28/06/202628/06/2026 by Ugur

These reports detail a massive shift in the enterprise AI landscape during mid-2026, centered on the collaboration between NVIDIA, SAP, and OpenAI. NVIDIA has introduced NemoClaw and OpenShell as a critical security and sandboxing layer for OpenClaw, the world’s most popular open-source AI agent platform. Simultaneously, SAP has integrated this technology into its “Autonomous Enterprise” vision, embedding hundreds of specialized AI agents into its core business software while blocking unmanaged agent access. OpenAI has expanded its enterprise footprint by launching the GPT-5.5 model on multi-cloud…

News-Based Trading ML Experiments – Technical Setup

Posted on 28/06/202628/06/2026 by Ugur

Extracting Alpha from the News Cycle This documentation details a machine learning research project conducted in 2026 to evaluate how global news sentiment and economic calendars predict currency and commodity price movements. Researchers utilized the GDELT Global Knowledge Graph and economic event data to engineer fifteen unique features, testing them across 72 experimental configurations using gradient-boosted models like CatBoost and XGBoost. The study found that USDJPY was the most responsive instrument to news signals, with the highest-performing models achieving a Sharpe ratio of +2.653. Results indicated that a 24-hour prediction…

Analysis of ML Signals

Posted on 28/06/202628/06/2026 by Ugur

https://ugurzafercandan.github.io/UTradeDashboard Open Orders list is showing a real time portfolio outcome. Majority of the signals are performing worse than anticipated back testing.I have results for 1 months of future test trading. Only 4 is showing positive returns. Rest is having issues in maintaining positive returns. I will continue monitoring

SAP Joule Studio 2.0 & SAP Business AI Platform The technical blueprint

Posted on 27/06/202627/06/2026 by Ugur

SAP Joule Studio 2.0 & SAP Business AI Platform The technical blueprint

SAP AI Test & Demo Environments for Technical Audiences

Posted on 27/06/202627/06/2026 by Ugur

SAP AI Test & Demo Environments for Technical Audiences

The Future of AI Agents – 8 Key Predictions

Posted on 07/06/202607/06/2026 by Ugur

1- EVERYBODY Will Have Personal Agents 2- Company Memory Becomes an Asset 3- Different LLM Form Factors 4- LLM → Commodity / Agent/Harness → The Differentiator 5- APPS → Tools/Skills, USERS → Agents 6- Security/Governance Embedded in Harness 7- Agent Discovery & Collaboration 8- Testing/Hardening/Benchmarking Becomes Mainstream

Forex News Trading with Machine Learning

Posted on 09/05/202609/05/2026 by Ugur

1 source·May 9, 2026 This research examines how machine learning can be used to systematically trade the foreign exchange market by analyzing macroeconomic news events. High-impact reports like Nonfarm Payrolls and interest rate decisions create predictable price patterns that can be exploited through sentiment analysis and deep learning models. The text highlights specialized tools like FinBERT and LLM-powered agents that process news data to predict currency movements and optimize trade execution. Beyond technical modeling, the…

Claude Code vs OpenClaw vs HermesAI vs Paperclip – An Emerging Expertise

Posted on 02/05/202602/05/2026 by Ugur

Lets Start with the simple one. Claude Code CLI: You can also build a personal agent on top of Claude Code. Note that you need to add tools and skills to Claude Code to make it work for you. It used to just work with Anthropic but as of today people have cracked it and you can run it on with other Models. You can search “claude code free” and see many different installation options.Character:…

DEEP RESEARCH: Deviation from Fair Value in Commodity & FX Market Efficiency (2020-2026)

Posted on 21/04/202621/04/2026 by Ugur

EXECUTIVE SUMMARY DIRECT ANSWER: Commodity and FX markets exhibit persistent and exploitable deviations from theoretical fair value due to institutional constraints, behavioral biases, market microstructure frictions, and information processing limits. Key exploitable inefficiencies include: PPP deviations persisting 3-7 years, commodity futures term structure roll yields of 5-15% annually, BEER/FEER exchange rate misalignments of 15-40%, and oil price deviations from marginal cost by $20-40/bbl during supply shocks. CONFIDENCE: Medium-High – Based on 60+ sources including IMF/ECB…

Commodity Market Inefficiencies: Deep Research Report

Posted on 20/04/202620/04/2026 by Ugur

Cross-Asset Arbitrage, Structural Spreads, and Actionable Alpha Opportunities Prepared: April 19, 2026Analyst: Quantitative Research — Commodity Markets \& Cross-Market InefficienciesScope: Global commodity markets, derivatives, FX, and emerging asset classes — 1. Executive Summary This report identifies and analyzes 21 market inefficiencies spanning energy, metals, agriculture, FX/macro, emerging, and derivatives markets. Six original inefficiencies are extended with 2023–2026 data, and 15 newly identified opportunities are profiled in detail. Key findings: Top 5 most actionable today (2026):…

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