Hamoon Soleimani — Curriculum Vitae

Professional Summary

An intellectually curious and analytically rigorous Civil Engineering student at Iran University of Science and Technology, with a deep and demonstrated interdisciplinary expertise spanning quantitative finance, algorithmic trading system architecture, mobile security engineering, and heterodox economic theory. Proven ability to conceive, architect, and deploy sophisticated end-to-end systems, as exemplified by the commercial MQL5 products BlackSharkAlgo Pro and GoldenSharkAI Pro, and the comprehensive Android security framework Uncle Ted.

Brings a rare synthesis of low-level systems programming — encompassing root-level Android APIs, VPS infrastructure, and proxy network engineering — with high-level quantitative research capabilities in Python, including machine learning portfolio construction, backtesting frameworks, and real-time market data pipelines. This dual competency enables a full-stack perspective on complex technical challenges.

Beyond the technical domain, Hamoon has established a distinct voice as a public intellectual and economic commentator, contributing peer-reviewed preprints to arXiv and publishing widely-read essays through the Mises Institute's Mises Wire platform. His academic work applies Austrian School and Post-Keynesian monetary theory to empirical critiques of Bitcoin's viability as a monetary standard, while his published essays apply institutional economics to contemporary policy failures — from central bank inflation targeting to Iran's kleptocratic economic structure. This commitment to rigorous independent thought reflects a deep engagement with the Free/Open Source Software movement, digital sovereignty, and a systems-thinking approach to the intersection of technology, finance, and political economy.

Maintains an active portfolio of open-source contributions on GitHub, actively collaborates on the MQL5 marketplace, and engages substantively with the global research community through preprint publications and public commentary, seeking to foster critical discourse and advance principled, evidence-based understanding across technical and social domains.

Core Competencies

Quantitative Finance & Trading

MQL4 / MQL5 Expert Advisor Development
Automated Trading System Architecture
Strategy Backtesting & Optimization
Risk Management & Drawdown Control
Quantitative Finance Research
Portfolio Construction & Analysis
Forex Market Microstructure
Multi-Timeframe Signal Processing

Programming & Software

Python (Pandas, NumPy, SciPy, Matplotlib)
Machine Learning (Scikit-learn, Financial Modeling)
Android Development (Kotlin)
Data Analysis & Visualization
Git / Version Control & CI
VPS & Server Administration
Linux Systems & Shell Scripting
Proxy & Network Engineering

Research & Engineering

Structural Analysis (Civil Engineering)
AutoCAD & Engineering Design
Finite Element Analysis (FEA)
Systems Thinking & Modeling
Technical Writing & Commentary
Econometric Research Methods
Austrian & Post-Keynesian Economics
Mobile Security Principles

Professional Experience

Independent Software Developer & Quantitative Researcher

Freelance / Self-Directed Research

2021 — Present Remote / Tehran, Iran

Architected and developed Uncle Ted, a sophisticated root-aware Android security and anti-theft application written in Kotlin. Implemented advanced system-level features including Device Administrator API integration, stealth operation via secret dial codes, remote command-and-control via SMS, fake shutdown defense mechanism, intruder selfie capture, and data-wipe tripwires — all designed to ensure comprehensive digital sovereignty for the end user.
Engineered and commercially deployed BlackSharkAlgo Pro, an advanced fully-automated multi-currency trading Expert Advisor for both MetaTrader 4 and MetaTrader 5 platforms. The system employs a proprietary multi-strategy basket approach designed to identify high-probability entry conditions, with strict capital preservation protocols, dynamic lot sizing, hard stop-loss management, and consistent live signal performance.
Co-developed and contributed to GoldenSharkAI Pro MT5, an institutional-grade single-chart multi-symbol automated trading portfolio system published on the MQL5 Marketplace (February 2026, $799). The system autonomously manages a basket of major currency pairs from a single M5 chart attachment, incorporating proprietary independent sub-strategies, smart position management with dynamic lot sizing, an intelligent mathematically-driven drawdown recovery engine, and an advanced Forex Factory news filter. The system features a premium Black & Gold on-chart dashboard displaying real-time portfolio P/L, currency exposure limits to prevent over-leveraging, dynamic trailing stops, and Friday auto-close for weekend gap protection.
Developed a suite of custom MQL4/MQL5 indicators and Python-based quantitative research tools for strategy development, walk-forward testing, and multi-instrument portfolio evaluation, enabling rigorous evidence-based signal validation before live deployment.
Maintained and grew a diverse portfolio of public open-source projects on GitHub covering mobile security, v2ray proxy subscription management, algorithmic trading diagnostics, construction site optimization, and machine learning in finance.
Researched and published preprint papers on arXiv applying rigorous econometric and monetary theory frameworks to the empirical analysis of Bitcoin's structural properties as money, contributing novel methodological frameworks to the scholarly discourse on cryptocurrency economics.

BlackSharkAlgo Pro (MT4 & MT5)

MetaTrader 4 / 5 Multi-Currency Fully Automated Capital Preservation Focus No Martingale

A premier automated trading solution for discerning traders, available on the official MQL5 Marketplace. Features robust multi-currency operation, sophisticated risk management protocols, minimal drawdown targeting, and verified live performance signals. The system integrates proprietary entry logic with strict capital allocation rules and backtested across multiple market regimes using real tick data.

View on MQL5 Marketplace

GoldenSharkAI Pro MT5

MetaTrader 5 One-Chart Portfolio 11 Major Pairs Published Feb 2026 $799 Retail No Martingale / No Grid

An institutional-grade, fully automated trading portfolio system that manages EURUSD, GBPUSD, EURGBP, USDJPY, USDCHF, USDCAD, NZDUSD, AUDUSD, GBPJPY, EURJPY, and EURCHF simultaneously from a single M5 chart. Built on proprietary algorithms with hard-coded pre-configured set files, a smart recovery engine, advanced Forex Factory news filter, currency exposure limits, and a premium Black & Gold on-chart dashboard. Integrates hamoon.net infrastructure for real-time system updates and security verification.

View on MQL5 Marketplace

Quantitative Analyst & MQL Developer (Project-Based)

MQL5.com Marketplace — Freelance Contributor

March 2020 — May 2025 Remote

Delivered freelance quantitative analysis and MQL4/MQL5 development services for clients worldwide, translating complex trading conceptual frameworks into fully functional, rigorously tested Expert Advisors and custom indicators.
Specialized in strategy optimization through walk-forward analysis and Monte Carlo simulation to ensure robustness and avoid overfitting — a discipline that directly informed the design of BlackSharkAlgo Pro and GoldenSharkAI Pro.
Provided tailored solutions for automated trade execution, multi-instrument risk management, custom technical indicator development, and performance reporting dashboards within the MetaTrader environment.
Built long-term client relationships through rigorous documentation, iterative testing methodologies, and transparent communication of backtest limitations and live performance expectations.
Contributed to the MQL5 community through open-source indicator releases and code articles demonstrating advanced MQL5 patterns, position management, and market data handling techniques.

Academic Research & arXiv Publications

Peer-reviewed preprint research submitted to arXiv (Cornell University) applying rigorous quantitative and monetary theory frameworks to the empirical analysis of Bitcoin and cryptocurrency economics. Research is publicly indexed on Google Scholar (iP1soHYAAAAJ) and the arXiv author index.

arXiv Preprint · Quantitative Finance / Economics

An Examination of Bitcoin's Structural Shortcomings as Money: A Synthesis of Economic and Technical Critiques

Hamoon Soleimani November 21, 2025 arXiv:2512.07840 Iran University of Science and Technology

This paper presents a rigorous multi-framework critical evaluation of Bitcoin's claim to monetary status. Synthesizing critiques from two historically opposed schools — Post-Keynesian economics and the Austrian School — and validating their theoretical conclusions with original empirical analysis, the paper argues that Bitcoin faces significant and mutually reinforcing structural barriers to functioning as money. From the Post-Keynesian perspective, Bitcoin fails as a monetary instrument because it is not a debt-based IOU and lacks the institutional anchoring required for a stable monetary asset. From the Austrian perspective, under a strict Misesian reading, Bitcoin fails the Regression Theorem because it lacks prior non-monetary use value and has not emerged as the most saleable commodity. These theoretical conclusions are supported by quantitative analysis of Bitcoin's extreme price volatility metrics, hard-coded 7 tx/sec throughput ceiling, fragile Lightning Network topology (modeled as a Nash equilibrium star-graph centralization), and the long-term security dilemma posed by the block subsidy halving schedule — creating a potential collapse in hashrate-based security as miner revenue diminishes. The paper concludes that Bitcoin is more accurately characterized as a novel speculative asset whose primary legacy is the blockchain innovation it catalyzed, rather than a credible challenger to established monetary standards.

arXiv Abstract PDF HTML

arXiv Preprint · Quantitative Finance / Macroeconomics

The Endogenous Constraint Hypothesis: Hysteresis, Stagflation, and the Structural Inhibition of Monetary Velocity in the Bitcoin Network (2016–2025)

Hamoon Soleimani November/December 2025 arXiv:2512.07886 Iran University of Science and Technology

This paper empirically validates the Endogenous Constraint Hypothesis (ECH): the proposition that Bitcoin's protocol-level throughput limits generate a non-linear, self-reinforcing negative feedback loop between network friction and base-layer monetary velocity, creating a form of structural monetary stagflation unique to fixed-supply, constrained-throughput networks. Using a novel composite Transaction Cost Index (TCI) — constructed from Blockchain.com on-chain data, incorporating both fee levels and latency volatility as multidimensional friction proxies — combined with Hansen's (2000) threshold regression and bootstrap validation, the paper identifies a definitive structural break at the 90th percentile of friction (TCI* ≈ 1.63). Below this threshold, the network exhibits a robust growth regime with velocity expansion of +15.44%. Above it, the network enters a constraint regime where velocity growth collapses to +6.06% — a statistically significant Net Utility Contraction of −9.39%. This regime bifurcation demonstrates that Bitcoin's speculative asset pricing dynamics (Asset View) actively cannibalize its utility as a payment system (Currency View) through the mechanism of the Endogenous Constraint, bridging a documented schism in the Bitcoin literature between these two interpretive frameworks.

arXiv Abstract PDF HTML

Published Commentary — Mises Wire

Contributor to the Mises Institute's Mises Wire — a leading platform for Austrian economics and libertarian political economy — publishing rigorous analytical essays at the intersection of monetary theory, political economy, and institutional analysis.

01

Mises Wire · Mises Institute

Why AI and Big Data Cannot Plan an Economy

March 9, 2026

A systematic defense of Ludwig von Mises's praxeology against contemporary positivist assaults that equate "science" with "measurement." The essay argues that contemporary academia's insistence on reducing economics to mathematical equations and statistical analysis commits what Hayek identified as "scientism" — a structural blindness that ignores the distinct ontology of human choice. While physics successfully models inanimate matter governed by immutable constants, economics concerns human action driven by conscious, fluctuating intent. Economic data is therefore merely unrepeatable historical record, not universal scientific law. Attempts to extract predictive models from such historical debris constitute "historicism" — as epistemologically invalid as using Napoleonic War battle statistics to forecast World War III. The essay concludes that AI and big data cannot resolve the socialist calculation problem because the problem is not computational in nature, but epistemological: the knowledge required for central planning is inherently dispersed, tacit, and non-formalizable.

Read on Mises Wire

02

Mises Wire · Mises Institute

The Impossible Two Percent: Why Central Banks Cannot Afford Price Stability

November 28, 2025

A structural analysis of the endgame of central bank inflation targeting, arguing that the 2% inflation target — monetary policy's sacred commandment for three decades — has become structurally impossible to achieve. The essay traces how New Zealand invented the 2% target in 1989 by arbitrarily back-projecting a period of subjective stability — an act of guesswork dressed as science that other central banks subsequently canonized as dogma. The deeper argument is that every serious attempt to hit the target now destroys the financial architecture built by previous rounds of monetary expansion. The global economy of 2025 has been financialized across every asset class, built supply chains optimized for fragility through decades of suppressed interest rates, and erected a sovereign debt tower that requires perpetual refinancing at suppressed rates to avoid systemic collapse. Achieving genuine price stability would trigger the unwind of all these malinvestments simultaneously — the system cannot tolerate its own stated success criterion. This is the endgame of central planning: a monetary regime that must continuously inflate to survive. Republished by Zero Hedge and Ahead of the Herd.

Read on Mises Wire

03

Mises Wire · Mises Institute

Iran's Economy Isn't Failing; It's a Plunder Machine

October 22, 2025

A rigorous institutional analysis of Iran's economic structure, arguing that the Islamic Republic's economy is not merely a failing or poorly managed system requiring technical correction, but a purposefully engineered apparatus of institutional predation — a kleptocratic organism that ensures its own survival by systematically destroying the institutional foundations necessary for productive economic activity. In direct opposition to the organic economic order where individual actions under property rights and rule of law spontaneously coordinate to create wealth, Iran has constructed a deliberately designed extraction mechanism. The essay demonstrates how this parasitic entity sustains itself by feeding on the epistemological vacuum created when authentic price signals are destroyed — making rational economic calculation impossible and leaving the population unable to coordinate production. It draws on insights from Mises's calculation problem, public choice theory, and new institutional economics to characterize the IRGC-dominated economic structure as a systemic feature, not a corruption anomaly. Republished by TippInsights and cited across economic commentary platforms.

Read on Mises Wire

Education & Academic Pursuits

Bachelor of Science in Civil Engineering

Iran University of Science and Technology (IUST) — Tehran, Iran

Expected: February 2026 Tehran, Iran

Focus Area: Structural Engineering, with emphasis on computational simulation methods, finite element analysis (FEA), load path optimization, and structural reliability theory under stochastic loading conditions.
Interdisciplinary Research: Explored the application of quantitative financial models — including Monte Carlo simulation, risk-adjusted return frameworks, and principal-agent theory — to large-scale infrastructure project risk assessment and procurement decision-making, drawing parallels between capital markets and public works contracting.
Quantitative Methods: Applied advanced mathematical modeling, statistical analysis, regression methods, and data-driven computational approaches to structural problem-solving, fatigue analysis, and construction site layout optimization — directly informing the development of Python-based research tools published on GitHub.
Academic Research Output: Produced preprint research on Bitcoin monetary economics submitted to arXiv, demonstrating capacity for independent, self-directed academic inquiry beyond the formal curriculum.
Academic Profile: Indexed on Google Scholar under institutional affiliation with Iran University of Science and Technology, Tehran, Iran.

Activities & Guiding Ethos

My intellectual pursuits are characterized by a fundamental commitment to independent, first-principles reasoning — applied equally to technical systems, financial markets, and political-economic institutions. This disposition, rooted in systems thinking and a deep skepticism of received authority, allows me to identify structural patterns across domains that specialists anchored within disciplinary silos routinely miss.

I am a committed advocate for Linux and the Free/Open Source Software (FOSS) movement, actively contributing to the open-source ecosystem and exploring decentralized technology architectures. This commitment extends beyond software aesthetics into a principled stance on digital sovereignty, user autonomy, and the epistemological importance of transparent, auditable systems. My work on Uncle Ted, Pr0xySh4rk, and other open-source tools directly embodies these values.

Austrian Economics & Praxeology

Committed to Misesian praxeological methodology as the correct epistemological foundation for economic science — action-based, deductive, and categorically distinct from the positivist natural sciences. Published applied Austrian analysis through the Mises Institute.

FOSS & Digital Sovereignty

Deep engagement with the Linux ecosystem, open-source development philosophy, and decentralized technologies as practical expressions of individual autonomy, epistemic transparency, and resistance to state surveillance and technological capture.

Systems Thinking

Approaches all complex domains — from structural engineering to market microstructure to political economy — as systems with feedback loops, emergent properties, and unintended consequences. This meta-methodology drives cross-domain insight generation.

Independent Intellectual Commentary

Author of widely-read analytical essays challenging conventional political and economic narratives, published through the Mises Institute. Committed to rigorous, evidence-based argumentation that provokes critical thought and engages with Iranian, Iranian-diaspora, and global dissident audiences.

Privacy & Security Engineering

Applied expertise in Android root security, anti-forensic techniques, privacy-preserving application architecture, and circumvention infrastructure — including VLESS + REALITY, Shadowsocks, and multi-protocol proxy chain management under hostile network conditions.

Quantitative Research & Empirical Rigor

Dedicated to evidence-based methodology, bringing the same standards of statistical validation applied to algorithmic trading — out-of-sample testing, regime analysis, threshold regression — to academic preprint research on cryptocurrency economics.

Open Source Contributions

Passionate contributor to the global open-source community via github.com/HamoonSoleimani. Projects span Android security, algorithmic trading analytics, financial machine learning, proxy network engineering, and civil engineering computational tools — all developed under permissive open-source licenses and maintained with full documentation.

Uncle Ted: Advanced Android Security & Anti-Theft

A comprehensive root-aware security and anti-theft application for Android devices, written in Kotlin. Implements system-level persistence through Device Administrator API and System App Conversion, stealth operation via secret dial codes, full remote command-and-control over SMS (lock, wipe, GPS tracking, microphone), fake shutdown defense, intruder selfie capture with covert upload, and irreversible data-wipe tripwire conditions. Designed to provide defense-in-depth digital sovereignty against physical device seizure, unauthorized access, and state-level adversaries.

Pr0xySh4rk: v2ray Proxy Subscription Manager

An advanced Python-based v2ray proxy subscription aggregator, tester, and optimizer. Merges multiple subscription sources, performs automated latency and availability testing, deduplicates and ranks configurations by performance, and generates optimized outputs compatible with Hiddify, Xray, Nekoray, and other modern clients. Addresses the practical reality of internet censorship and selective blocking under hostile ISP environments, with support for VLESS, REALITY, and Shadowsocks protocol configurations.

ForexDashboard: Python Trading Assistant

A comprehensive Python-based data-driven Forex analysis and trading assistant. Consolidates multi-source market data including OHLCV feeds, sentiment indicators, macroeconomic calendar data, and technical signal outputs into a unified real-time analytical dashboard. Designed as a modular foundation component for larger automated trading systems, providing the data pipeline layer for strategy signal generation and position management logic.

ML Portfolio with Profit Factor Optimization

A research-focused Jupyter Notebook demonstrating advanced portfolio construction using machine learning models, with a specific focus on optimizing the Profit Factor metric rather than conventional Sharpe Ratio maximization. Implements ensemble learning approaches to signal generation, walk-forward validation to prevent overfitting, and comparative analysis of classical mean-variance optimization vs. ML-driven allocation strategies on historical multi-asset Forex data.

Mises Wire EPUB Converter

A Python utility that scrapes and compiles articles from the Mises Institute's Mises Wire into properly formatted EPUB e-books, facilitating offline reading, archiving, and distribution of Austrian economics literature. Handles multi-page article extraction, metadata normalization, image embedding, and chapter structuring according to EPUB 3 specification standards, with configurable date range and author filtering.

Construction Site Layout Optimizer

A practical Python computational tool derived from civil engineering academic research, assisting construction project managers in optimizing site facility layouts by modeling spatial constraints, material flow paths, safety buffer zones, and operational interdependencies. Bridges the gap between civil engineering practice and computational optimization theory, implementing heuristic search algorithms to minimize total transportation cost across dynamic construction phases.

Key Accomplishments

Commercial Algorithmic Trading Product Development & Deployment

Successfully designed, engineered, backtested, and deployed two fully-automated trading systems on the MQL5 Marketplace: BlackSharkAlgo Pro and GoldenSharkAI Pro MT5. Both systems have achieved commercial status with live customer deployments and verified performance signals, demonstrating the ability to take a quantitative trading concept from theoretical framework through rigorous testing to a production system serving real capital at market risk. GoldenSharkAI Pro represents particular architectural sophistication — managing an 11-pair portfolio from a single chart attachment using a proprietary multi-strategy basket with institutional-grade risk controls.

arXiv Preprint Research — Bitcoin Monetary Theory

Self-directed and independently produced two rigorous academic preprint papers on Bitcoin economics submitted to arXiv (Cornell University) in November 2025, applying advanced monetary theory (Austrian School Regression Theorem, Post-Keynesian endogenous money theory) and quantitative econometric techniques (threshold regression, composite index construction, bootstrap validation) to novel empirical questions about Bitcoin's monetary viability. Both papers are indexed on Google Scholar and represent genuine contributions to a specialist academic literature, authored without institutional supervision while completing a Civil Engineering undergraduate degree.

Mises Wire Published Contributor — Economic & Political Analysis

Established as a published contributor to the Mises Institute's Mises Wire platform, with three essays published between October 2025 and March 2026 covering Iran's institutional political economy, central bank monetary policy failure, and the epistemological limits of AI-based economic planning. The essay on Iran's kleptocratic economy was republished by TippInsights and widely cited; the essay on the 2% inflation target was republished by Zero Hedge and Ahead of the Herd — demonstrating substantial reach and engagement beyond the Mises Institute's core audience.

Mobile Security System Architecture: Uncle Ted

Designed and single-handedly built a complex, defense-in-depth Android security application demonstrating mastery of low-level Android system integration. The project requires simultaneous command of Device Administrator APIs, root shell execution, SMS broadcast receivers for remote command parsing, stealth foreground service management, Android permission architectures across API levels, and secure remote data exfiltration — a combination of skills rarely united in a single developer, let alone outside of professional security research contexts.

Open-Source Ecosystem Contributions Across Multiple Domains

Maintained a publicly accessible GitHub portfolio of six or more independently developed projects spanning Kotlin/Android security, Python algorithmic trading, proxy network engineering, financial machine learning research, economic literature archiving, and civil engineering computational tools — all released under permissive open-source licenses with documentation, demonstrating both technical range and a principled commitment to FOSS values and community knowledge-sharing.

Certifications & Professional Development

CME Institute Live: Micro Treasury Yield Futures

CME Group

Issued March 2022

Completed professional training on CME's Micro Treasury Yield Futures product suite, covering the mechanics of U.S. yield curve construction and interpretation, inter-contract spread trading strategies, delta hedging with micro contracts, market microstructure analysis of CME interest rate markets, and practical applications for fixed-income portfolio risk management and speculative positioning in a rising rate environment.

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Certified Foreign Exchange Trader

Interactive Brokers LLC (via Coursera)

Issued October 2021 · ID: P75XD5ZRFSP6

Credentialed upon completion of IBKR's comprehensive Foreign Exchange training curriculum, encompassing spot FX market mechanics, FX options and forwards, order types and execution strategies, leverage management and margin requirements, institutional-grade risk management protocols, liquidity sourcing from multiple ECN providers, and the regulatory and compliance landscape governing retail and institutional FX trading.

Verify (P75XD5ZRFSP6)

Machine Learning Strategies for Algorithmic Trading

Udemy

Issued July 2021 · ID: UC-e2fbf65d-0d00-420b-9db9-a466e651c950

Mastered practical applications of machine learning models for developing adaptive, data-driven algorithmic trading strategies in Python. Curriculum covered supervised learning (regression, classification), ensemble methods (Random Forests, XGBoost), feature engineering from market microstructure data, cross-validation and walk-forward testing frameworks, model deployment in live market environments, and integration with backtesting infrastructure — foundational to the ML Portfolio with Profit Factor open-source research project.

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Mastering Forex Scalping

Udemy

Issued June 2021 · ID: UC-c48cb3ad-e4cb-45e2-bb71-efe3328fc669

Comprehensive training in short-term and ultra-short-term Forex trading strategies with rigorous focus on order flow analysis, Level II market depth interpretation, market structure identification in intraday timeframes, precise entry and exit trigger discipline, spread cost management in high-volume scalping operations, and risk-reward calibration in high-volatility news event scenarios. Directly applicable to the design of BlackSharkAlgo Pro's intraday execution modules.

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Linguistic Proficiency

English proficiency demonstrated through publication of peer-reviewed preprint research on arXiv and analytical essays in the Mises Institute's Mises Wire — both requiring technical academic register at a professional standard.