raph.thefinanceguy

raph.thefinanceguy

@raph.thefinanceguy

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

raph.thefinanceguy waa abuure TikTok oo leh 2K taageere iyo 27.3K like. Fiidiyowyadiisu waxay helaan celcelis ahaan 1.1K daawasho, heerka ka-qaybgalkuna waa 10.2%. Hashtag-yada ugu badan ee la isticmaalo: #finance, #nyc iyo #trading.

2K
Taageerayaal
501
Uu raaco
27.3K
Like
1.1K
Celceliska daawashada
Heerka ka-qaybgalka: 10.2% Maraykanka 🗣️ Ingiriisi
2K
Taageerayaal
27.3K
Wadarta like-ka
1.1K
Celceliska daawashada
136
Fiidiyowyo
501
Uu raaco
0
La jecelyahay
10.2%
Heerka ka-qaybgalka

Kobcinta & saadaalinta

Markii ugu dambeysay la cusboonaysiiyaySaadaalka 7 maalmoodSaadaalka 30 maalmood
Taageerayaal2K🔒 Pro🔒 Pro
Wadarta like-ka27.3K🔒 Pro🔒 Pro
Fiidiyowyo136🔒 Pro🔒 Pro
Celceliska daawashada1.1K🔒 Pro🔒 Pro

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Iimaylka xiriirka, taariikhda kobaca iyo saadaasha, kaydka muuqaalada oo dhan iyo dhoofinta CSV waxay ku jiraan Pro.

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Markii ugu dambeysay la cusboonaysiiyay:

Profile-ka TikTok

Fiidiyowyadii ugu dambeeyay

#trading #finance #quant #nyc #wallstreet
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▶ 723 ❤ 0 💬 0

#trading #finance #quant #nyc #wallstreet

Make your own luck  #quant #finance #trading #nyc #investment
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▶ 726 ❤ 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

Su'aalaha inta badan la weydiiyo

Immisa taageere ayuu leeyahay raph.thefinanceguy?

Illaa 2026-10-11, raph.thefinanceguy (@raph.thefinanceguy) wuxuu leeyahay 2K taageere oo TikTok ah.

Abuurayaal la mid ah

Abuurayaasha TikTok ugu sarreeya #finance ee Maraykanka

Arag dhammaan →