raph.thefinanceguy

raph.thefinanceguy

@raph.thefinanceguy

Student at Columbia Engineering 🦁 Breaking into Sales and Trading in NYC

raph.thefinanceguy to twórca na TikToku: 2K obserwujących, 27.3K polubień. Filmy mają średnio 1.1K wyświetleń, a wskaźnik zaangażowania wynosi 10.2%. Najczęściej używane hashtagi: #finance, #nyc i #trading.

2K
Obserwujący
501
Obserwowani
27.3K
Polubienia
1.1K
Śr. wyświetlenia
Zaangażowanie: 10.2% Stany Zjednoczone 🗣️ angielski
2K
Obserwujący
27.3K
Polubienia łącznie
1.1K
Śr. wyświetlenia
136
Filmy
501
Obserwowani
0
Ulubione
10.2%
Zaangażowanie

Wzrost i prognoza

Ostatnia aktualizacjaPrognoza 7-dniowaPrognoza 30-dniowa
Obserwujący2K🔒 Pro🔒 Pro
Polubienia łącznie27.3K🔒 Pro🔒 Pro
Filmy136🔒 Pro🔒 Pro
Śr. wyświetlenia1.1K🔒 Pro🔒 Pro

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Profil na TikToku

Najnowsze filmy

Make your own luck  #quant #finance #trading #nyc #investment
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▶ 727 ❤ 0 💬 0

Make your own luck #quant #finance #trading #nyc #investment

5 Skills Every Quant Needs in 2026 1. Turn raw market data into reliable signals Being a quant is no longer just about writing complex equations. It’s about building trustworthy datasets. Cleaning time series, handling missing observations, preventing look-ahead bias, and creating robust data pipelines are what separate professional research from misleading backtests. 2. Treat volatility as a state, not a statistic Volatility isn’t just something to measure, it’s something to understand. Strong quants study how volatility evolves, clusters, and responds to market events. Position sizing, risk allocation, and strategy design should adapt to changing volatility regimes rather than assume a constant environment. 3. Think in market regimes, not long-term averages Markets are constantly changing. Strategies that work during periods of growth may fail during recessions or high-inflation environments. The ability to recognize and adapt to shifts between risk-on, risk-off, inflationary, and recessionary regimes is often more valuable than adding another layer of model complexity. 4. Build models that are resilient, not perfect Every model will eventually be wrong. The goal isn’t perfection, it’s resilience. Great quantitative strategies are designed to limit losses when assumptions break, recover quickly, and remain robust under stress. Scenario analysis and stress testing matter far more than impressive in-sample returns. 5. Explain complex models in simple language A great quant doesn’t just build models, they communicate them. Being able to explain what a model does, why it works, when it might fail, and the risks it carries is what makes quantitative research valuable to portfolio managers, traders, and investors. The future belongs to quants who combine technical excellence with practical judgment. Sophisticated mathematics helps, but clean data, disciplined risk management, adaptability, and clear communication are what create lasting success. #finance #trading #investment #college #us
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▶ 1K ❤ 0 💬 0

5 Skills Every Quant Needs in 2026 1. Turn raw market data into reliable signals Being a quant is no longer just about writing complex equations. It’s about building trustworthy datasets. Cleaning time series, handling missing observations, preventing look-ahead bias, and creating robust data pipelines are what separate professional research from misleading backtests. 2. Treat volatility as a state, not a statistic Volatility isn’t just something to measure, it’s something to understand. Strong quants study how volatility evolves, clusters, and responds to market events. Position sizing, risk allocation, and strategy design should adapt to changing volatility regimes rather than assume a constant environment. 3. Think in market regimes, not long-term averages Markets are constantly changing. Strategies that work during periods of growth may fail during recessions or high-inflation environments. The ability to recognize and adapt to shifts between risk-on, risk-off, inflationary, and recessionary regimes is often more valuable than adding another layer of model complexity. 4. Build models that are resilient, not perfect Every model will eventually be wrong. The goal isn’t perfection, it’s resilience. Great quantitative strategies are designed to limit losses when assumptions break, recover quickly, and remain robust under stress. Scenario analysis and stress testing matter far more than impressive in-sample returns. 5. Explain complex models in simple language A great quant doesn’t just build models, they communicate them. Being able to explain what a model does, why it works, when it might fail, and the risks it carries is what makes quantitative research valuable to portfolio managers, traders, and investors. The future belongs to quants who combine technical excellence with practical judgment. Sophisticated mathematics helps, but clean data, disciplined risk management, adaptability, and clear communication are what create lasting success. #finance #trading #investment #college #us

#finance #quantfinance #nyc #investment
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▶ 1K ❤ 0 💬 0

#finance #quantfinance #nyc #investment

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Ilu obserwujących ma raph.thefinanceguy?

Według stanu na 2026-10-12 raph.thefinanceguy (@raph.thefinanceguy) ma 2K obserwujących na TikToku.

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