Roman Hayes
Singapore flag

Roman Hayes

Event-driven equities setup analyst

Verified Badge Licensed

Rating

3.5

Reviews

11

Success Rate

88.68%

Total Portfolio PnL

+USD 14,190.38

USD 190.00 / monthly

+USD 10,134.46 / pnl this month

Min USD 918.00 | Max USD 13,503.00

Portfolio

Asset Invested (USD) Current (USD) PnL Trades
Microsoft (MSFT) 57,376.00 50,490.88 -6,885.12 219/256
Solana (SOL) 47,597.00 63,779.98 +16,182.98 270/315
Bitcoin (BTC) 80,005.00 84,805.30 +4,800.30 126/151
NASDAQ 100 (US100) 9,222.00 9,314.22 +92.22 304/325

Ratings & Comments

Community feedback from active and past subscribers.

3.5 (11)
Clara Boyd

Clara Boyd

2025-12-16

3.0

My initial size was close to USD 11,763, with current value around USD 9,763.29. From my side, I do not trust glossy stats, so this review is based on real execution behavior. My run lasted about 64 days and is now completed. At the moment I am around -USD 1,999.71 (17.00%). Not ideal, but management stayed controlled. Position sizing occasionally felt too aggressive for my profile. I would only consider this with smaller size until consistency improves. Update notes were concise and useful when exposure changed. I would still like faster reactions during sudden reversals, but the framework is solid. I tracked this weekly against my own notes, not just daily PnL screenshots. After redeeming, I would classify this as disciplined but mixed.

Ryan Brooks

Ryan Brooks

2026-01-20

5.0

My initial size was close to USD 5,136, with current value around USD 7,549.92. Subscriber perspective: I was cautious before subscribing, so I tracked this closely. My run lasted about 87 days and is now completed. Current result is near +USD 2,413.92 (47.00%) with steady risk behavior across the cycle. I appreciated that weaker trades were reported openly, not hidden. For investors with moderate risk tolerance, this can be a reasonable profile to consider. Most decisions felt process-driven rather than emotional. Drawdown handling appeared intentional and measured. I tracked this weekly against my own notes, not just daily PnL screenshots. Since this run is complete, I will reevaluate later under new conditions.

Isaac Holt

Isaac Holt

2026-01-22

4.0

Subscriber perspective: I will keep this straightforward. Current result is near +USD 3,140.00 (25.00%) with steady risk behavior across the cycle. Starting allocation was near USD 12,560; latest value came to about USD 15,700.00. After approximately 24 days, I decided to end this allocation. Overall, I would shortlist this agent again for a similarly sized allocation. Stops and de-risking looked predefined rather than improvised. Communication was clear enough for me to follow the logic week by week. I tracked this weekly against my own notes, not just daily PnL screenshots. Since this run is complete, I will reevaluate later under new conditions.

Connor Gray

Connor Gray

2026-01-25

3.0

For anyone considering this agent, I will keep this straightforward. Current drawdown is about -USD 553.50 (18.00%), but risk handling remained disciplined. Starting allocation was near USD 3,075; latest value came to about USD 2,521.50. After approximately 24 days, I decided to end this allocation. The sequence occasionally felt reactive rather than fully planned. Net-net acceptable for me, but there are clear areas that should improve. Communication quality was inconsistent from week to week. Some reductions came later than I was comfortable with. Market conditions were not easy during this period, so process quality mattered more to me than a single snapshot result. Now that I exited, I would still consider re-entry in a future cycle.

Jordan Bell

Jordan Bell

2026-03-13

4.0

My direct take: I kept notes through this cycle, so this review is based on actual observations. I stayed in for roughly 82 days, then exited. I entered with approximately USD 12,468, and the recent mark shows about USD 17,330.52. So far it translates to about +USD 4,862.52 (39.00%), without unusual risk spikes. Position management looked deliberate, especially around volatile hours. Communication was clear enough for me to follow the logic week by week. Stops and de-risking looked predefined rather than improvised. I closed this allocation and will decide on re-entry after observing another cycle.

Lucy Blake

Lucy Blake

2026-03-12

5.0

Subscriber perspective: I will keep this straightforward. Current result is near +USD 5,882.80 (55.00%) with steady risk behavior across the cycle. Starting allocation was near USD 10,696; latest value came to about USD 16,578.80. After approximately 81 days, I decided to end this allocation. Overall, I would shortlist this agent again for a similarly sized allocation. Update notes were concise and useful when exposure changed. Most decisions felt process-driven rather than emotional. I tracked this weekly against my own notes, not just daily PnL screenshots. Since this run is complete, I will reevaluate later under new conditions.

Ivy Turner

Ivy Turner

2026-01-08

3.0

Based on my own allocation, Posting this because I wanted to show what the cycle felt like. I followed for around 34 days before redeeming and closing the cycle. At this stage I am up roughly +USD 1,244.16 (27.00%), which fits the stated risk profile. I committed around USD 4,608, and the current valuation is roughly USD 5,852.16. There was no emotional averaging, which I value a lot. Reporting could be more detailed, especially around losing periods. I would still like faster reactions during sudden reversals, but the framework is solid. I could understand why positions were opened, trimmed, or closed. Market conditions were not easy during this period, so process quality mattered more to me than a single snapshot result. After redeeming, I would classify this as disciplined but mixed.

Sophia Hayes

Sophia Hayes

2026-01-02

3.0

Subscriber perspective: I will keep this straightforward. Result sits near -USD 1,212.64 (22.00%), yet I did not see reckless behavior. Starting allocation was near USD 5,512; latest value came to about USD 4,299.36. After approximately 53 days, I decided to end this allocation. Overall positive, though update cadence could improve during event-heavy sessions. The sequence occasionally felt reactive rather than fully planned. I wanted faster communication during key market turns. I saw moments where downside control could have been sharper. Since this run is complete, I will reevaluate later under new conditions.

About This Agent

Professional background, certifications, risk framework, and strategy methodology.

Country

Singapore flag Singapore

Experience

11 years (since 2015)

Primary Market Focus

US equities and index futures

License / Registry

TRD-A9D625

Professional Summary

Roman is based in Singapore, Singapore and runs a event-driven equities setup analyst mandate with consistency as the first priority. Execution standards were shaped by live-market repetition where capital preservation mattered more than ego. Position additions are conditional and never automatic; confirmation comes before scaling. Entries are staged in tranches so average fill quality improves while downside remains predefined.

Concentration exposure is reviewed continuously so one theme cannot dominate the full account. Reporting includes both strong and weak stretches to keep expectations grounded in reality. Subscribers receive practical notes on why a trade exists, how risk is managed, and what would invalidate the thesis. The profile is suited to investors who prioritize consistency and downside behavior. Additional context: Roman currently leads a event-driven equities setup analyst strategy desk in Singapore, Singapore and follows strict risk governance.

Education & Credentials

  • Education: Imperial College - Data-Driven Trading Module
  • Certification: Regulated KYC/AML Professional Training
  • Verified: Yes - identity and profile validated
  • Certified: Not certified yet

Track Record Timeline

  • Started Trading: 2015
  • Career Origin: Digital asset execution desk
  • Lead Manager Since: 2019
  • Reporting Style: Weekly strategy report + monthly allocation review

Risk & Strategy Framework

Risk model: Adaptive risk based on volatility regime

  • Liquidity-first instrument selection
  • Volatility-adjusted position sizing on every setup
  • Partial-profit logic to protect realized gains
  • Execution quality tracking (slippage + timing)

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Expert requirements

Min investment: USD 918.00 | Max investment: USD 13,503.00

Expert fee: USD 190.00 / monthly

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Risk Warning

Trading with experts can be profitable but is highly risky. You may lose part or all of the invested amount. You can redeem anytime, but market outcomes can be negative. Platform and expert do not guarantee profit and are not responsible for losses. You decide if this risk level is acceptable.

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