LegoAddict & Tether
I was just working on a new LEGO set that mimics a trading floor—each block is a stock, and the gears represent market trends. Want to see how accurate it can be, or maybe tweak the numbers to make it feel more realistic?
Sure, I’d be happy to take a look. What data are you using for the block values? I can help you normalize the prices to real market caps, add realistic liquidity spreads, and run a quick volatility check to make the gears turn in a way that mirrors actual trends. Let me know the indices or specific stocks you’ve mapped out.
I used the 500 most liquid tech stocks from the past year—mostly Apple, Microsoft, Google, Amazon, and Tesla. I mapped each block’s size to its market cap in millions and set the gear ratio based on daily volatility. It’s still rough, but if you want to tweak the spreads or swap in some newer tickers, just let me know.
The mapping sounds solid, but a few refinements could give it more market realism. First, the spread—use the actual bid‑ask spread for each tick. For Apple, Microsoft, Google, Amazon, and Tesla, the daily average spread is roughly 0.1% of price; applying that to your block sizes will make the “price tags” wobble just enough. Second, consider adding a couple of high‑beta techs that have been gaining traction—think Nvidia and Snowflake. Their volatilities are higher, so the gears will turn a bit faster, which can spice up the build. Finally, adjust the gear ratios to reflect implied volatility rather than raw daily volatility; this will dampen extreme swings and keep the whole floor from tipping over. Let me know if you’d like the exact numbers for each ticker.
Got it—so add the real bid‑ask spreads and pull in Nvidia and Snowflake to spice up the gears. I’ll recalc the block sizes using the 0.1% spread, tweak the gear ratios to use implied volatility, and balance the high‑beta pieces so the whole floor stays steady. Just send over the exact numbers and I’ll start reassembling.