V
VISA Inc.
stock NYSE

CTRL + C, CTRL + V and repeat with <elected officials> and then <business leaders> that have enabled the current crisis.

!RemindMe 1 year
None of them had even close to the moat V and MC have lmao. The entire US Retail Federation including WMT, AMZN, COST etc. has tried to kill them and couldn't.
As always you're saying retarded things and will be proven wrong.

Lmao they've been saying this shit for years.
You know how many decades *powerful American businesses* have been trying to dethrone V and MC but still failing?

Bro, IDGAF, but Visa and MC days are numbered but you idiots see it as value and not a value trap.  You just don't think big enough or see what technologies are available.  With the right funding the tech behind Apple Airtags and the right banking partner could render V and MC irrelevant. 

Back in the first year.
AThen in the middle of the first production year, the word “CENTS” was added under the V on the back, and this was not possible anymore. And that’s why we have a “with cents” and a “no cents” version of 1883 nickels.
This one is 1910, no way to confuse this one with a gold one

So what IS the actual difference between a debit and credit card swipe to V and MA?

BUFF.V a potash Fertilizer commodity play...its comp has gone up 1000% in 2025.

Google:
> The image shows a United States Liberty Head nickel, also known as a "V" nickel. The coin pictured appears to be from the year 1910, based on the visible date on the obverse side

> but I think generally if there is something you use daily, then it's probably something you should consider investing into.
N V I D I A (calls)

Maybe I should be more clear, it's $PNG.V

Fair point on the unit economics. A shift to debit definitely compresses margins due to Durbin caps and back of card routing competition.
But I’d still rather own the network taking a 10% revenue loss on a debit swipe than the bank taking a 100% loss on a credit default. The toll might get smaller, but the gate stays open. Think of V/MA as essentially a hedge against the bank's credit risk

My upside bets are WIX and SGMT. My steady plays are NVDA, INTC and V. I think all will perform well in 2026.

Big headline, but the impact probably isn’t uniform. Issuer banks (AXP) feel it more directly, while networks (V/MA) are more second‑order. Key question for me is how much of current earnings already price in high revolving balances vs. transaction volume durability. Curious what others think the real downside case looks like.

So, we should have loaded up on V puts?

If a European style option, you can use Black-Scholes-Merton. You use the market prices to calculate the implied volatility, and that implied volatility to calculate theta or other greeks.
import numpy as np
import scipy.stats
#greeks for black scholes: https://www.macroption.com/black-scholes-formula/
#V Option Price (or C for call price, P for put price)
#S Stock Price
#K Strike Price
#T Time till expiration in years
#r risk free rate (as 0.04)
#q dividend rate (as 0.02)
#sigma implied volatility
def black_scholes_call_implied_volatility(V, S, K, T, r, q):
func = lambda sigma : V - black_scholes_call_price(S,K,T,r, q, sigma)
sigma = 0
try:
sigma = scipy.optimize.brentq(func, -100, 100, xtol=0.001)
except:
print('black_scholes_call_implied_volatility failed: ' + str(V) + ' ' + str(S) + ' ' + str(K) + ' ' + str(T) + ' ' + str(r) + ' ' + str(q))
return sigma
def black_scholes_put_implied_volatility(V, S, K, T, r, q):
func = lambda sigma : V - black_scholes_put_price(S,K,T,r, q, sigma)
sigma = 0
try:
sigma = scipy.optimize.brentq(func, -100, 100, xtol=0.001)
except:
print('black_scholes_put_implied_volatility failed: ' + str(V) + ' ' + str(S) + ' ' + str(K) + ' ' + str(T) + ' ' + str(r) + ' ' + str(q))
return sigma
def black_scholes_call_price(S, K, T, r, q, sigma):
d1 = (np.log(S/K) + (r - q + sigma**2/2)*T) / (sigma*np.sqrt(T))
d2 = d1 - sigma * np.sqrt(T)
return S * np.exp(-q*T) * scipy.special.ndtr(d1) - K * np.exp(-r*T) * scipy.special.ndtr(d2)

def black_scholes_put_price(S, K, T, r, q, sigma):
d1 = (np.log(S/K) + (r - q + sigma**2/2)*T) / (sigma*np.sqrt(T))
d2 = d1 - sigma* np.sqrt(T)
return K * np.exp(-r * T) * scipy.special.ndtr(-d2) - S * np.exp(-q * T) * scipy.special.ndtr(-d1)
def black_scholes_call_delta(S, K, T, r, q, sigma):
d1 = (np.log(S / K) + (r - q + sigma ** 2 / 2) * T) / (sigma * np.sqrt(T))
return np.exp(-q*T) * scipy.special.ndtr(d1)
def black_scholes_put_delta(S, K, T, r, q, sigma):
d1 = (np.log(S / K) + (r - q + sigma ** 2 / 2) * T) / (sigma * np.sqrt(T))
return np.exp(-q*T) * (scipy.special.ndtr(d1) - 1)
def black_scholes_gamma(S, K, T, r, q, sigma):
d1 = (np.log(S / K) + (r - q + sigma ** 2 / 2) * T) / (sigma * np.sqrt(T))
return np.exp(-q*T)*scipy.stats.norm.pdf(d1)/(S*sigma*np.sqrt(T))
def black_scholes_call_theta(S, K, T, r, q, sigma):
trading_days = 252
d1 = (np.log(S/K) + (r - q + sigma**2/2)*T) / (sigma*np.sqrt(T))
d2 = d1 - sigma * np.sqrt(T)
a = S*sigma*np.exp(-q*T)*scipy.stats.norm.pdf(d1)/(2*np.sqrt(T))
b = r * K * np.exp(-r*T)*scipy.special.ndtr(d2)
c = q * S * np.exp(-q*T)*scipy.special.ndtr(d1)
return (1/trading_days) * (-a - b + c)
def black_scholes_put_theta(S, K, T, r, q, sigma):
trading_days = 252
d1 = (np.log(S/K) + (r - q + sigma**2/2)*T) / (sigma*np.sqrt(T))
d2 = d1 - sigma * np.sqrt(T)
a = S*sigma*np.exp(-q*T)*scipy.stats.norm.pdf(d1)/(2*np.sqrt(T))
b = r * K * np.exp(-r*T)*scipy.special.ndtr(-d2)
c = q * S * np.exp(-q*T)*scipy.special.ndtr(-d1)
return (1 / trading_days) * (-a + b - c)

PNG.V - Kraken. Small Canadian defense company giving many of us a path to phenomenal returns and exciting prospects for future returns.
ATZ.to - Canadian fasion retailer taking on the world. Recent financial quarter details are nuts.
Every Canadian gold miner, a strength of our market. Undervalued by global investors, giving us an easy path to some of the best returns of our lives.

The Canadian market in general. Many investors ignore most of it (internationally), so it's like our own pocket of profit.

Ok lets assume average transaction fee is X amount and bank makes 15-20% interest on consumer credit card. Imagine, if that 15-20% interest revenue drops like 1/2, would banks still pay same transaction fee to V/MA ? Hell no, they will actively negotiate the fee down by just stating the fact that they dont get enough interest rate. Remember, the average people, we r paying the money and everyone gets their cut. If we pay less why banks have to eat up all costs? Every business downstream will get pay cut some degree, whether they like or not

Spot on. That's why I'd rather own the networks than the banks right now. Banks are stuck managing the FICO risk and potential rate caps, but V and MA still get their cut of the volume even if everyone is forced onto debit. IMO V would benefit more since they’re known as the debit king as 60% of vol is from debit. Also those who lose credit will run to PayPal,Affirm,Walmart. (V/ma still benefit from this too)

V/MA aren't lenders they make $0 from interest. Their revenue comes from Swipe Volume (think of it as a toll on the road). If a 10% cap makes banks cancel credit cards, people don't stop buying groceries; they just switch to Debit, which runs on the exact same V/MA “pipes” ;) for the same fees. In fact, cheaper 10% credit increases spending volume, which actually boosts Visa's revenue while the banks profit margins get crushed. Visa is the highway; it doesn't matter if you're driving a luxury credit card or a budget debit card, the toll booth gets paid every time you pass through. Get it now ?

This take kind of ignores how these companies actually make money.
Visa and Mastercard don’t lend, don’t set APRs, and don’t collect interest or late fees. They run payment rails and get paid per swipe. People still swipe cards at 10% APR. AXP is the only one with real exposure, and even there interest income is only part of the business.
Lumping V, MA, and AXP together as “credit card APR plays” is pretty surface level.