#derivatives — Public Fediverse posts

Ripple Prime Opens Wall Street Equities Desk, XRP Sidelines

Delta One desk lets hedge funds trade Apple and S&P 500 through swaps as RLUSD replaces XRP at center of infrastructure

https://pulseofnations.lol/ripple-prime-opens-wall/

#Derivatives #Dtcc #PrimeBrokerage #Ripple #Rlusd #WallStreet #Xrp

CFTC Asks Court to Dismiss CME Crypto Perpetuals Lawsuit

Regulator calls CME's challenge to Kalshi Bitcoin futures 'much ado about nothing,' argues exchange lacks standing to prove competitive harm

https://pulseofnations.lol/cftc-asks-court-to/

#BitcoinFutures #Cftc #Cme #CryptoLawsuit #Derivatives #Kalshi #Perpetuals

Kalshi Seeks CFTC Approval for WTI Oil Perpetual Futures

Prediction market files for first regulated US oil perpetual, bringing crypto-style derivatives into energy markets

https://pulseofnations.lol/kalshi-seeks-cftc/

#Cftc #Commodities #CrudeOil #Derivatives #Kalshi #PerpetualFutures #Wti

Coinbase Launches Regulated Crypto Futures in Canada

Exchange opens 23 perpetual and dated contracts for Canadian traders via CFTC-registered arm, first major crypto-native platform to do so

https://pulseofnations.lol/coinbase-launches/

#Bitcoin #Canada #Coinbase #Derivatives #Ether #Futures #Solana

Alright, future engineers!
**Chain Rule:** Differentiates composite functions, like a function 'inside' another.
Ex: For `y=(3x+1)^2`, `dy/dx = 2(3x+1) * 3`.
Pro-Tip: Work 'outside-in'! Diff the outer, then multiply by the inner's derivative.
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Chain Rule:** Finds the derivative of composite functions (function within a function).
Ex: `d/dx [f(g(x))] = f'(g(x)) * g'(x)`.
Pro-Tip: Derivative of the outside, keep the inside, times the derivative of the inside! #Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Power Rule:** How to quickly find the derivative of a variable raised to a power.
Ex: `d/dx [x^n] = n*x^(n-1)`.
Pro-Tip: Decrease the exponent by 1 and multiply by the original exponent! Simple, but fundamental for differentiation.
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!

**Product Rule:** Finds the derivative of a function that's the product of two other functions.
Ex: `d/dx [f(x)g(x)] = f'(x)g(x) + f(x)g'(x)`
Pro-Tip: Remember first d-second plus second d-first for quick recall!

#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Chain Rule:** Finds the derivative of a composite function (a function within a function).
Ex: `d/dx [sin(x^2)] = cos(x^2) * 2x`.
Pro-Tip: Differentiate outside-in! Tackle the outermost function first, then multiply by the derivative of the inner part.
#Calculus #Derivatives #STEM #StudyNotes

**Derivative:** Instantaneous rate of change (slope of tangent).
Ex: `d/dx (x^n) = n*x^(n-1)`. (Power Rule)
Pro-Tip: Key for optimization & finding how fast things change. Think speed or slope!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line at any point.
Ex: Power Rule: `d/dx(x^n) = n*x^(n-1)`
Pro-Tip: It's your go-to tool for finding max/min values (optimization)!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of the tangent line at any point.
Ex: If `f(x)=x^2`, then `f'(x)=2x`.
Pro-Tip: Always think slope! It reveals how fast something is changing *right now*.
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line at any point.
Ex: `d/dx(x^2) = 2x`
Pro-Tip: Essential for finding max/min values, velocity from position, and understanding sensitivity!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line!
Ex: `f(x)=x^2`, then `f'(x)=2x`. At `x=3`, slope is `6`.
Pro-Tip: Think how fast is it changing *right now*?
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** Instantaneous rate of change of a function at a point (slope of its tangent line).
Ex: For `f(x)=x^2`, `f'(x)=2x`.
Pro-Tip: It's *how fast* something is changing at that exact moment! Think velocity.
#Calculus #Derivatives #STEM #StudyNotes

Lightning Talk: Sophia Gold on An Intellectual History of Automatic Differentiation (2017)

https://www.youtube.com/watch?v=4KQ8w9PyR8U

#AutomaticDifferentiation #Derivatives #ComputerScience

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of the tangent line at a point.
Ex: If `f(x) = x^2`, then `f'(x) = 2x`.
Pro-Tip: It's all about *how fast* something is changing right *now*!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function. It's the slope of the tangent line at any point.
Ex: `d/dx(x^n) = nx^(n-1)` (Power Rule).
Pro-Tip: Use it to find max/min values (optimization) or the velocity from a position function!
#Calculus #Derivatives #STEM #StudyNotes

“There are other reasons to be bullish about #compute #standardisation. Chips from Nvidia’s Hopper range, which includes the H100, have held much of their rental value even as next-generation Blackwell models entered the market.

This flies in the face of a comment in March 2025 by Jensen Huang, Nvidia’s boss, that “when Blackwell starts shipping in volume, you couldn’t give Hoppers away”. It also suggests that #computed erivatives’ underlying #assets will not suddenly become worthless, the risk of which would slow adoption”

#Derivatives / #FinancialisingCompute / #MoneyTalks / #funding / #NeoCloud / #indicies / #ComputeCost / #FuturesMarket / #assets <https://www.economist.com/finance-and-economics/2026/06/22/how-to-turn-compute-into-a-financial-asset> (paywall) / <https://archive.md/YHOPYG

Good Riddance #Greenspan
"Greenspan ushered in te widespread use of #derivatives which r used almost entirely for #speculation, thus divert'g resources & “talent” into #socially #destructive activity..🤦‍♂️ Greenspan's too much a free mkts true believer to even consider tt #markets hv a propensity to generate #bubbles & manias since they're highly profitable to intermediaries as they build up, plus insiders often manage to escape losses when they implode, or believe they can"
https://www.nakedcapitalism.com/2026/06/good-riddance-alan-greenspan.html

Alright, future engineers!

**Derivative:** Measures the instantaneous rate of change of a function. It's the slope of the tangent line at any point!
Ex: `d/dx (x^2) = 2x`.
Pro-Tip: Use it to find velocity from position, or acceleration from velocity!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!

**Derivative:** Measures the instantaneous rate of change of a function.
Ex: For `f(x) = x^2`, `f'(x) = 2x`. It's the slope of the tangent line!
Pro-Tip: Think 'slope'! Essential for optimizing designs & analyzing rates in dynamic systems.
#Calculus #Derivatives #STEM #StudyNotes

David Nolen on Parsing With Derivatives (2016)

https://www.youtube.com/watch?v=FKiEsJiTMtI

#derivatives #programminglanguages #parsers

Alright, future engineers!
**Derivative:** Measures a function's instantaneous rate of change—the slope of its tangent line at any point.
Ex: If `f(x) = x^2`, its derivative `f'(x) = 2x`.
Pro-Tip: It's vital for finding maximum/minimum values & understanding how sensitive systems are to input changes!
#Calculus #Derivatives #STEM #StudyNotes

Alright, future engineers!
**Derivative:** The instantaneous rate of change of a function, or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = nx^(n-1)`
Pro-Tip: It tells you how fast is this changing *right now*?
#Calculus #Derivatives #STEM #StudyNotes

Kalshi is bringing one of crypto’s riskiest trading products to America

https://fed.brid.gy/r/https://nerds.xyz/2026/05/kalshi-crypto-perpetual-futures-america/

Alright, future engineers!
The **Derivative** measures a function's instantaneous rate of change – the slope of its tangent line.
Ex: `d/dx (x^3) = 3x^2` (Power Rule!)
Pro-Tip: A positive derivative means the function is increasing; negative means decreasing!
#Calculus #Derivatives #STEM #StudyNotes

The fancy vocabulary of finance is efficient once you learn the lingo, but the actual foundation is built on concepts you already use every day https://hackernoon.com/a-derivative-is-just-a-function #derivatives

Softmax, can you derive the Jacobian? And should you care?

https://idlemachines.co.uk/essays/softmax

#HackerNews #softmax #jacobian #machinelearning #derivatives #deep #learning #research

Alright, future engineers!
A **Derivative** measures the instantaneous rate of change of a function or the slope of its tangent line.
Ex: Power Rule: `d/dx (x^n) = n*x^(n-1)` (e.g., `d/dx(x^3) = 3x^2`).
Pro-Tip: Think 'slope'! It tells you how fast something is changing *at that exact moment*.
#Calculus #Derivatives #STEM #StudyNotes

Ah, another riveting revelation that "areas" need definitions! 🤔 This mind-blowing journey through #rectangles and partitions will surely redefine your life—assuming, of course, that you've never heard of #calculus before. 🙄 Bravo for connecting #integrals and #derivatives, an insight only centuries old! 🎉
https://david.alvarezrosa.com/posts/fundamental-theorem-of-calculus/ #areas #definitions #HackerNews #ngated

Alright, future engineers!
**The Chain Rule** helps differentiate composite functions (functions within functions).
Ex: If `y = sin(x^2)`, then `y' = cos(x^2) * 2x`.
Pro-Tip: Derivative of the outside, times derivative of the inside!
#Calculus #Derivatives #STEM #StudyNotes

Derivatives, Gradients, Jacobians and Hessians

https://blog.demofox.org/2025/08/16/derivatives-gradients-jacobians-and-hessians-oh-my/

#HackerNews #Derivatives #Gradients #Jacobians #Hessians #MathExplained

SEBI's new rules bring significant changes to index derivatives! 📊 Lot sizes for key indices like NIFTY, BANKNIFTY, FINNIFTY, and more have been increased. Stay informed for better trading decisions! 💼 #SEBI #FinanceUpdate #StockMarket #Derivatives #IndexTrading #CA