A

A small tool for visualising option chains

Hacker News

A small tool for visualising option chains

Hey HN, I've always been intrigued by prediction markets and the concept of "skin in the game". It's fascinating to see where people are placing their bets rather than just hearing their theories. This led me down the rabbit hole of option markets - a complex yet intriguing betting arena. The challenge with option markets, I found, is the steep learning curve just to understand what you're looking at in an option chain. So, in an attempt to peel back some of that complexity, I created a simple tool that helps visualise option chains through vega lite's expression language. This allows for a more intuitive understanding of options by visualising various metrics and comparisons. Here are a few examples of what you can do with my tool: # Option Price vs. Strike Price: See how the price changes relative to the strike price. Link: https://opts-visualizer.vercel.app/?fieldT=datum.ask&fieldX=datum.strike&symbol=SPY # Strike as Percentage: For those who prefer percentage-based comparisons, this visualisation uses the datum.relativeStrike variable for a different perspective. https://opts-visualizer.vercel.app/?fieldT=datum.ask&fieldX=datum.relativeStrike&symbol=SPY # Comparing TSLA vs MSFT Curious how the market expects TSLA and MSFT to move? https://opts-visualizer.vercel.app/?fieldColor=datum.ul.symbol&fieldFilter=inrange%28datum.relativeStrike%2C%5B-0.2%2C0.0%5D%29&fieldT=datum.ask%2Fdatum.ul.ask&fieldX=datum.relativeStrike&symbol=TSLA%2CMSFT This is a fun side project I've been tinkering with. It's entirely free and open source, hoping it might help demystify options a bit for those interested. Feedback, contributions, or just a quick test drive would be immensely appreciated!

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: visualize, way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: visual, open · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Pl
Plotting option greeks with sticky strike approach55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plotting option greeks with sticky strike approach

Hacker News2
Di
Dit – A very small dotfiles tool45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dit – A very small dotfiles tool

Hacker News6
DH
DHCP Option 121 Calculator35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DHCP Option 121 Calculator

Hacker News2
Bu
Built a small tool to hack my beliefs22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Built a small tool to hack my beliefs

Hacker News1
An
An exceptional Option type for Java33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An exceptional Option type for Java

Hacker News4
Sh
Shit, TinyGo Crazy Small WASM Binaries. Hack Go and WASM37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shit, TinyGo Crazy Small WASM Binaries. Hack Go and WASM

Hacker News6
Sm
Small Clojure Interpreter61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Small Clojure Interpreter

Hacker News143
Ch
Chibicc – A Small C Compiler56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chibicc – A Small C Compiler

Hacker News22
sm
small lisp interpreter in Haskell79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

small lisp interpreter in Haskell

Hacker News25
Ze
Zerobox – a small lightbox44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zerobox – a small lightbox

Hacker News42