Arsen Shinturinov

• Currently in SMB Capital’s TraderDNA program, building a statistics-driven playbook of intraday setups.
• Focus on opening-drive and consolidation breakouts, with the 9-EMA continuation trade as the highest-conviction pattern.
• Use SMB tools (Scanner/Radar) plus MarketSurge and Minervini private access to generate daily idea lists and track catalysts.
• Review trades by setup, R multiple, and execution quality, with the goal of becoming a consistently profitable trader and earning a seat at a proprietary firm.

• Manage a $30,000 personal account (~$120,000 intraday buying power on 4:1 margin) trading U.S. equities.
• Focus on highly liquid, catalyst-driven names with elevated relative volume, trading intraday momentum and VCP-style setups.
• Build a detailed game plan every evening before each trading day: create a watchlist, map key levels, define A+ setups, and outline trade scenarios (entry, add, stop, and targets).
• Execute only pre-planned playbook trades intraday, capping risk at ~1% of equity per position with a targeted reward-to-risk of at least 5:1 on A+ setups.
• Keep a structured trade journal, tagging each trade by setup and grading execution to refine the playbook and size into what’s working.

• Volunteer at a local orphanage; built a soccer/basketball field and frequently came to play with kids.
• Teach English at an orphanage in Almaty, Kazakhstan.

FI 307 – Jones Electrical Distribution (Harvard Business School case)

• Modeled pro-forma financials under different sales-growth and credit-line scenarios to explain why a profitable distributor was short on cash.
• Analyzed working-capital drivers (A/R, inventory, A/P) and the cost of trade credit, showing that skipping “2/10, net 30” discounts implies extremely expensive financing.
• Recommended expanding the bank line, taking early-payment discounts, and tightening inventory and collections to stabilize liquidity.

FI 306 – Equity Research Report on Corning (GLW)

• Produced an equity research report on Corning (GLW), covering business segments, industry position, and key value drivers.
• Built a DCF model with an implied share price of about $36.96 on ~858M diluted shares and issued a long-term buy recommendation with scenario analysis.

CS 305 – Health Center Process Efficiency Optimization (ProcessModel)

• Simulated a student health center in ProcessModel to measure throughput, wait times, and resource utilization.
• Adjusted staffing and process flow to raise overall process efficiency from roughly 40% to around 80%.

• Supported the ESG sleeve when pitching industrial names such as Eaton (ETN) and Emerson (EMR).
• Assisted with sector research, ESG metrics, and valuation work for potential portfolio additions.

• Co-founded TeamUp, a pickup sports app that connects people for casual games and local sports.
• Helped scale to 20,000+ users and join Columbia University’s Almaworks accelerator program.

• Built a foundation on Mark Minervini’s methods, especially the Volatility Contraction Pattern and relative-strength leadership.
• Completed his books and course, then applied the process in live markets: focus on leading stocks near 52-week highs, tight consolidations, and strict sell rules.
• Attended Minervini’s in-person seminar in Myrtle Beach, participating in live trading workshops and Q&A.
• Networked with U.S. Investing Champions such as Clement Ang and Christian Flanders. As well as professional traders, gaining insight into playbook building, risk management, and performance mindset.