Pradeep Simhan

Bengaluru losing 'Silicon Valley' tag fast. Andhra & Odisha posing stiff competition. RBI’s data centre in Bhubaneswar, strategically located away from earthquake zones & cross-border threats. Adani to also build another data centre here with ₹800 Crore

मैडम किसी की मत सुनना 🔥 LTCG tax बिल्कुल remove न करना। FII full बेचने के mood में हैं, उनको 12.5% tax advantage मिला तो कहीं 50,000 Cr का माल एक दिन में बेचना शुरू न कर दे!

My neighbors think I'm unemployed because I'm always home. Last year I made $450k from trading. Threw a big neighbourhood party last week, paid for all the food and drinks and people were asking me how I could afford it lol.

A top quant lost his job due to an AI reasoning model replacing him at his company. He kept applying to different companies and tried his hand at macro writing but to no avail. Eventually he swallows his pride and talks to his school friend who is now a plumber. "I understand your old position was a finance maths guy. Why don't you come to our company and apply for a plumber position? You will earn half your old salary but the overtime and the union benefits make up for the rest. But remember, when you apply, tell them that you completed only seven elementary classes. They don't like educated people." So it happened. The quant got a job as a plumber and his life significantly improved. He just had to seal a screw or two occasionally, and his salary was good enough and he had zero stress. One day, the board of the plumbing company decided that every plumber had to go to evening classes to complete "basic financial literacy" certification. So, our quant had to go there too. It just happened that the first class was retirement planning. The evening teacher, to check students' knowledge, asked “If you invest half your money in stocks and half in bonds, how do you calculate the portfolio return?” The person asked was the quant. He jumped to the board, and then he realized that he had forgotten the formula. He started to reason it, and he filled the white board with He defined a filtered probability space (Ω, ℱ, {ℱ_t}, ℙ) and posited two correlated geometric Brownian motions for the risky and “risk-free” assets. He invoked the Radon-Nikodym derivative to switch to the risk-neutral measure ℚ, then switched back because the question was about realized returns, not prices. He filled the whiteboard with stochastic discount factors, covariance matrices, CRRA utility functions, and pages of Itô calculus. He derived the wealth process under a self-financing strategy: dW_t = W_t[(w R_s + (1−w) R_b) dt + w σ_s dB_t^s + (1−w) σ_b dB_t^b] Then he solved the HJB equation for the optimal allocation, noted that Merton’s solution collapses to a constant weight under log utility, and circled w = ½ as the given constraint. He invoked the linearity of expectation. He cited Markowitz (1952). He drew a small efficient frontier in the corner for context. Finally, exhausted, chalk-dusted, eyes wild, he arrived at: R_p = ½ R_s + ½ R_b Then forty plumbers, in perfect unison, slammed their wrenches on the desks and roared: “YOU FORGOT THE VOLATILITY DRAG, YOU FUCKING TOURIST!!”