PulsarPeak Capital Investment

Quantitative Researcher (QR) / Strategist

Aftikhar Mominzada

Aftikhar Mominzada - QR/Strategist

Responsible for developing, researching, and backtesting quantitative trading strategies.

Quantitative Developer (QD) / Software Engineer (Quant Focus)

Mitch Greer

Mitch Greer - QD/Software Engineer

Focuses on implementing strategies into production code, building trading systems, and managing data infrastructure.

Portfolio Manager (PM) / Head of Quant Strategy

Austin Kaduk

Austin Kaduk - PM/Head of Quant Strategy

Oversees the portfolio of strategies, manages overall risk, allocates capital, and leads the team.

Executive Summary:

PulsarPeak specializes in identifying and capitalizing on opportunities within the rapidly evolving digital asset landscape. We focus on emerging cryptocurrencies, embracing their inherent volatility not as mere noise, but as a potential indicator of disruptive innovation and significant value creation. Our approach is rooted in rigorous quantitative analysis, a deep understanding of the underlying technological and market drivers, and a disciplined risk management framework. We aim to generate superior risk-adjusted returns by strategically navigating the complexities and inefficiencies of the digital asset market.

Mission Statement:

To achieve significant capital appreciation by investing in promising emerging digital assets, leveraging quantitative strategies to harness volatility while mitigating unacceptable risks through data-driven insights and disciplined execution.

Core Beliefs:

Volatility as Opportunity

We believe the high volatility characteristic of emerging digital assets reflects rapid innovation cycles, shifting market narratives, and potential for exponential growth. Our goal is to understand the drivers of this volatility and position ourselves to benefit from it.

Quantitative Rigor is Key

Subjectivity and hype are rampant in the digital asset space. We believe a systematic, data-driven, quantitative approach is essential for consistent decision-making, risk management, and identifying repeatable patterns.

Understanding is Paramount

We do not invest in assets we do not understand. This involves analyzing not just price action, but also the underlying technology, tokenomics, development team, community strength, competitive landscape, and potential real-world utility or market niche.

Risk Management is Non-Negotiable

The potential for significant drawdowns in this asset class requires a proactive and robust risk management framework integrated into every stage of the investment process. Capital preservation in adverse conditions is crucial for long-term success.

Adaptability is Survival

The digital asset market is nascent and evolves at an unprecedented pace. Our strategies, models, and understanding must continuously adapt to new technologies, changing regulations, and shifting market dynamics. Continuous learning and model refinement are core operational tenets.

Market Context Matters

While focusing on individual assets, we recognize the significant influence of the broader markets and macroeconomic factors. Our analysis incorporates this context.

General Investment Guidelines & Boundaries:

Strategic Focus:

Asset Universe: Primarily focus on emerging digital assets (cryptocurrencies and potentially related tokens) outside the top [e.g., 5 or 10] by market capitalization, but meeting minimum liquidity and vetting criteria.

Investment Horizon: Primarily short-to-medium term tactical positioning based on quantitative signals, but informed by a long-term perspective on the asset’s potential.

Capacity Awareness: Monitor strategy capacity to avoid significant market impact and liquidity constraints.

Technical & Analytical:

Data Integrity: Utilize reliable, high-frequency market data and on-chain data sources. Implement processes for data cleaning and validation.

Model Validation: Rigorously backtest all quantitative models across various market conditions. Employ out-of-sample testing and forward-testing before deploying significant capital. Continuously monitor model performance and decay.

Infrastructure: Maintain secure and resilient trading infrastructure, including robust API connections, low-latency execution capabilities where necessary, and secure custody solutions.

Risk Management:

Position Sizing: Implement clear rules for position sizing based on signal conviction, asset volatility, liquidity, and contribution to overall portfolio risk.

Portfolio Level Risk: Utilize metrics like Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), and stress testing calibrated for the high volatility and fat tails of crypto assets. Monitor portfolio concentration and correlation.

Stop-Loss / Profit-Taking: While models dictate entry/exit, predefined risk limits per trade and for the overall portfolio are essential.

Counterparty Risk: Carefully vet exchanges, custodians, and any DeFi protocols used, diversifying exposure where possible.

Ethical & Compliance:

Regulatory Adherence: Stay abreast of and comply with all relevant regulations in the jurisdictions we operate within.

Transparency: Maintain clear and honest communication with investors regarding strategy, performance, and risks.

Market Conduct: Avoid any strategies that could be construed as market manipulation ( such as wash trading, pump-and-dump).

Conflicts of Interest: Implement policies to identify and manage potential conflicts of interest.

Security: Prioritize best practices in cybersecurity and private key management.

--- title: "PulsarPeak Capital Investment" format: html: code-fold: true code-tools: true mainfont: "Times New Roman" self-contained: true grid: sidebar-width: 50px body-width: 1400px margin-width: 50px execute: echo: true CSS: styles.css fontsize: 12pt --- ### Quantitative Researcher (QR) / Strategist **Aftikhar Mominzada** <img src="https://media.licdn.com/dms/image/v2/D5603AQHZUbdON5RUew/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1726626390301?e=1748476800&v=beta&t=mv-99zvD60u18yae9gJB3dEjxsAn4r0CHtgOlHBeIrA" alt="Aftikhar Mominzada - QR/Strategist" style="width:200px; height:auto;"/> Responsible for developing, researching, and backtesting quantitative trading strategies. ### Quantitative Developer (QD) / Software Engineer (Quant Focus) ### **Mitch Greer** <img src="https://media.licdn.com/dms/image/v2/D5603AQFPp3YCXavYPg/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1667256961209?e=1748476800&v=beta&t=yAxxnQA2_f_dBf5-RO8zBee6XAk05AFZolxGhuwpkZQ" alt="Mitch Greer - QD/Software Engineer" style="width:200px; height:auto;"/> Focuses on implementing strategies into production code, building trading systems, and managing data infrastructure. ### Portfolio Manager (PM) / Head of Quant Strategy **Austin Kaduk** <img src="https://media.licdn.com/dms/image/v2/D5603AQHFeRqVDCu1ZA/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1720198845055?e=1748476800&v=beta&t=LnPqzpOOO70DTuK8Ry90kucHKgpeAgVgx0rbYPImcrI" alt="Austin Kaduk - PM/Head of Quant Strategy" style="width:200px; height:auto;"/> Oversees the portfolio of strategies, manages overall risk, allocates capital, and leads the team. # Executive Summary: PulsarPeak specializes in identifying and capitalizing on opportunities within the rapidly evolving digital asset landscape. We focus on emerging cryptocurrencies, embracing their inherent volatility not as mere noise, but as a potential indicator of disruptive innovation and significant value creation. Our approach is rooted in rigorous quantitative analysis, a deep understanding of the underlying technological and market drivers, and a disciplined risk management framework. We aim to generate superior risk-adjusted returns by strategically navigating the complexities and inefficiencies of the digital asset market. # Mission Statement: To achieve significant capital appreciation by investing in promising emerging digital assets, leveraging quantitative strategies to harness volatility while mitigating unacceptable risks through data-driven insights and disciplined execution. # Core Beliefs: ### Volatility as Opportunity We believe the high volatility characteristic of emerging digital assets reflects rapid innovation cycles, shifting market narratives, and potential for exponential growth. Our goal is to understand the drivers of this volatility and position ourselves to benefit from it. ### Quantitative Rigor is Key Subjectivity and hype are rampant in the digital asset space. We believe a systematic, data-driven, quantitative approach is essential for consistent decision-making, risk management, and identifying repeatable patterns. ### Understanding is Paramount We do not invest in assets we do not understand. This involves analyzing not just price action, but also the underlying technology, tokenomics, development team, community strength, competitive landscape, and potential real-world utility or market niche. ### Risk Management is Non-Negotiable The potential for significant drawdowns in this asset class requires a proactive and robust risk management framework integrated into every stage of the investment process. Capital preservation in adverse conditions is crucial for long-term success. ### Adaptability is Survival The digital asset market is nascent and evolves at an unprecedented pace. Our strategies, models, and understanding must continuously adapt to new technologies, changing regulations, and shifting market dynamics. Continuous learning and model refinement are core operational tenets. ### Market Context Matters While focusing on individual assets, we recognize the significant influence of the broader markets and macroeconomic factors. Our analysis incorporates this context. # General Investment Guidelines & Boundaries: ## Strategic Focus: Asset Universe: Primarily focus on emerging digital assets (cryptocurrencies and potentially related tokens) outside the top \[e.g., 5 or 10\] by market capitalization, but meeting minimum liquidity and vetting criteria. Investment Horizon: Primarily short-to-medium term tactical positioning based on quantitative signals, but informed by a long-term perspective on the asset's potential. Capacity Awareness: Monitor strategy capacity to avoid significant market impact and liquidity constraints. ## Technical & Analytical: Data Integrity: Utilize reliable, high-frequency market data and on-chain data sources. Implement processes for data cleaning and validation. Model Validation: Rigorously backtest all quantitative models across various market conditions. Employ out-of-sample testing and forward-testing before deploying significant capital. Continuously monitor model performance and decay. Infrastructure: Maintain secure and resilient trading infrastructure, including robust API connections, low-latency execution capabilities where necessary, and secure custody solutions. ### Risk Management: Position Sizing: Implement clear rules for position sizing based on signal conviction, asset volatility, liquidity, and contribution to overall portfolio risk. Portfolio Level Risk: Utilize metrics like Value-at-Risk (VaR), Conditional Value-at-Risk (CVaR), and stress testing calibrated for the high volatility and fat tails of crypto assets. Monitor portfolio concentration and correlation. Stop-Loss / Profit-Taking: While models dictate entry/exit, predefined risk limits per trade and for the overall portfolio are essential. Counterparty Risk: Carefully vet exchanges, custodians, and any DeFi protocols used, diversifying exposure where possible. ### Ethical & Compliance: Regulatory Adherence: Stay abreast of and comply with all relevant regulations in the jurisdictions we operate within. Transparency: Maintain clear and honest communication with investors regarding strategy, performance, and risks. Market Conduct: Avoid any strategies that could be construed as market manipulation ( such as wash trading, pump-and-dump). Conflicts of Interest: Implement policies to identify and manage potential conflicts of interest. Security: Prioritize best practices in cybersecurity and private key management.