One User
@oneuser
Data-driven quantitative trader specializing in algorithmic and futures strategies.
What I'm looking for
I am a data-driven quantitative trading professional with hands-on experience developing and optimizing algorithmic strategies across spot and perpetual futures markets. Since 2021 I have built systematic portfolios, executed tactical spot and futures trades, and migrated workflows to optimize execution costs.
My trading results include transforming a small DCA portfolio into substantial gains (from $600 to $30k) and achieving a documented $108,457 USDT profit on a single BTC-USDT short during the August 2024 liquidity event. I emphasize strict risk controls, capping the largest documented loss in the 2024 cycle at $44,264 through isolated margin and disciplined position management.
Technically, I am proficient in Python, JSON, JavaScript, API integrations and workflow automation tools like N8N, with applied experience using platforms and analytics such as MEXC, TradingView, Dexscreener, Nansen and Arkham BubbleMaps. I combine macroeconomic and technical analysis to execute a dual strategy of high-conviction swing shorts and tactical day-trade longs.
I am seeking to leverage my quantitative skill set and proven track record to design and implement profitable trading strategies at a forward-thinking firm, contributing measurable P&L improvements while maintaining rigorous risk management.
Experience
Work history, roles, and key accomplishments
Spot Trader & Analyst
Independent
Jan 2021 - Present (5 years 5 months)
Initiated systematic crypto portfolio curation in Jan 2021, growing $600 to $30,000 (≈300% ROI) via DCA into core assets and achieving ~30% ROI on targeted spot trades; optimized platform routing to reduce fees and improve BTC day-trade execution.
High-Cap Futures Specialist
Independent
Feb 2024 - Aug 2024 (6 months)
Designed and deployed algorithmic perpetual-futures strategies (Feb–Aug 2024) that realized $108,457 USDT profit on a BTC-USDT short, applied isolated-margin risk controls limiting largest loss to $44,264 and generated ~$5k/month in funding fees.
Education
Degrees, certifications, and relevant coursework
Self-taught / Certifications
Certifications, Data Science / Network & Security
2017 - 2023
Activities and societies: Developed proficiency in Python, JSON, and JavaScript for data scraping and automation; familiarity with N8N, Zapier, Make.com; Cisco Certified Network Professional (CCNP); CompTIA Security+ SY0-601.
Completed self-directed study in programming and trading tools and obtained industry certifications including CCNP and CompTIA Security+.
Availability
Location
Authorized to work in
Job categories
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