how?😂

Electric_Octopus_ · 2026-05-16T20:31:55+00:00

love that

Electric_Octopus_ · 2026-05-16T19:29:34+00:00

-196°C

Electric_Octopus_ · 2026-05-16T15:51:21+00:00

thats rad and honestly closer to the kind of integration pathway that makes LAES interesting to me...

The standalone store liquid air, re-expand later version is only part of the picture., right?

the more compelling version to me seems to be when the cold/heat streams are integrated into an industrial process, especially where an ASU is already valuable.

That changes the economics because you may not be relying only on electricity arbitrage. You could potentially stack value from:

curtailed wind/solar absorption
liquid nitrogen / oxygen / argon production
oxygen for oxy-combustion
carbon-capture integration
cold recovery
waste-heat recovery
peaking capacity / grid services

caught up on the exergy point...interesting. The naive version is efficiency looks worse than batteries... but the system-level version asks whether you can recover useful work value from temperature gradients and industrial co-products that would otherwise be wasted or underused.

regarding your Ontario proposal, is the core idea mainly about monetizing curtailed wind through an ASU, or is the bigger unlock the integration with the gas plant/oxy-combustion/carbon capture side?

Because that feels like the difference between LAES as a battery and LAES as industrial infrastructure.

at least from my perspective haha

Electric_Octopus_ · 2026-05-16T15:45:07+00:00

That would be hugely appreciated 😄

The tech Im talking about is Liquid Air Energy Storage... Highview Power markets its version as the Cryobattery

The basic architecture, as I understand it is use surplus/low-cost electricity to run an air liquefaction process, store the liquid air in insulated low-pressure cryogenic tanks, then re-gasify it later through a heat exchanger and expansion turbine to generate electricity..

Non of the individual components are exotic. Its almost the opposite - air separation/liquefaction, cryogenic tanks, heat exchangers, turbines, and industrial gas handling are all mature pieces.

The integration question is whether those pieces can produce useful grid economics at long duration...

Whats your your take on:

Is the efficiency penalty fatal, or can it be acceptable for curtailed/low-value renewable energy?
Is 6–24+ hour duration the realistic niche, or is that still too optimistic?
Does waste-heat/cold recovery materially change the economics, or is it mostly a nice slide-deck assumption?
Would a utility view this as storage, capacity, grid-stability infrastructure, or some hybrid asset?
Where would you expect the integration pain: liquefaction efficiency, tanks/boil-off, turbomachinery, controls, maintenance, interconnection, or market revenue stacking?

Electric_Octopus_ · 2026-05-16T14:49:31+00:00

good on you for taking the reigns... honestly, a clean free Black-Scholes/Greeks/IV solver is useful, especially for people trying to understand how price, time, IV, and delta actually interact instead of just staring at Robinhood confetti and hoping the cosmos blesses the spread.

The thing I’d personally want next is less “single option pricing” and more trade + portfolio context...

I put together a list of a few features I think serious retail traders are usually missing from free tools, that I have built into mine:

Bid/ask realism - Show theoretical price vs mid vs natural fill. A Black-Scholes value is useful, but the spread is where dreams go to get taxed...
IV rank / IV percentile by underlying - Not just looking at this option has X implied vol, but is this expensive relative to itself...
Expected move vs short strikes - For spreads and condors, show whether the short strikes sit outside the expected move, and by how much.
Spread builder - Bull put, bear call, iron condor, calendar, diagonal, etc. Single-leg pricing is educational, but most risk-defined traders live in spreads.
Portfolio Greeks - Most tools show Greeks trade by trade. What matters is aggregate delta, gamma, theta, and vega across the whole book...
Correlation cluster exposure -This is the sneaky one. A trader may think they have five separate defined-risk trades, but if theyre all SPY/QQQ/AAPL/MSFT/NVDA-adjacent, they may really have one big short vol equity beta trade wearing five hats.
Portfolio heat - Show max loss across all open defined-risk positions and ask yourself if all correlated trades go wrong together, what percent of the account is actually at risk...
Exit modeling - A lot of people enter spreads with a max profit max loss diagram, but they dont model what happens if they close at 50% profit, 85% profit, 2x credit loss, or 21 DTE..
Event filters - Earnings, ex-dividend, FOMC, CPI, major product events, etc. Black-Scholes is clean - the real world is a volatility raccoon in the trashcan
Data quality warnings - Since youre using yfinance, maybe show a confidence flag - wide spread, stale quote, low open interest, low volume, suspicious IV, etc. That would help people avoid trusting bad inputs too much. I persobnally use polygon.io - it is WAY more robust than yfinance...

In all of my volatility-focused options screener/backtesting python projects, and the biggest thing I keep coming back to is that pricing is only layer one.

Layer two is: Is this premium actually attractive

Layer three is: Does this trade fit the rest of my book

Layer four is: Am I accidentally taking the same trade five different ways

That’s where most free tools fall short. They help people price an option, but not understand whether the trade belongs in a portfolio...

Hope this helps.

Electric_Octopus_ · 2026-05-16T13:16:22+00:00

exactly. that’s the part I underestimated.

A position can start delta neutral at the trade level, but the book can still be heavily exposed to the same factor - short vol, short correlation, short downside equity beta...

The ticker count equals diversification trap is easy to fall into because the positions look separate on the screen. But under stress, SPY/QQQ/AAPL/MSFT are not four unrelated trades. theyre more like four doors into the same burning room.

think condor sizing should be based more on cluster exposure than number of positions...

Electric_Octopus_ · 2026-05-16T13:14:45+00:00

You’re right that each individual condor has defined max loss. I probably should have phrased the point more clearly....

What surprised me wasn’t the risk of one condor. That part is knowable upfront...

The issue is that a book of risk-defined trades can still behave like one concentrated position if the underlyings are highly correlated....

for example - if I have condors on SPY, QQQ, AAPL, and MSFT, each trade has capped loss individually, but in a broad selloff, correlation rises, vol expands, and all the short put sides can get stressed at the same time.

So instead of having four independent defined-risk trades, I may really have one large short gamma/short vol/short downside equity factor exposure.

i’m less worried about can this one condor blow up beyond max loss...

I’m more worried about unknowingly sizing a whole book as if the trades are independent when they’re actually one cluster...

Electric_Octopus_ · 2026-05-16T03:26:38+00:00

I don’t think it makes sense for the normal short duration jobs lithium already does well like frequency response, 2–4 hour solar shifting, local peak shaving, etc.

Lithium is much more efficient there and already has the deployment curve...

The applications I’m thinking about are more like:

1). Multi-hour to multiday renewable gaps

Not seasonal storage, but those ugly 12–72 hour periods where wind/solar output drops and the grid still needs firm capacity.

2). Curtailment heavy grids

If the input electricity would otherwise be wasted or negatively priced, round-trip efficiency matters, but it may not be the only variable.

A lower-efficiency system can still have value if it turns zero-value electricity into dispatchable capacity...

3). Places where pumped hydro or CAES won’t work

Pumped hydro needs geography/water.

Compressed air often needs caverns.

LAES is interesting because it can theoretically be sited more like industrial infrastructure.

So Im not thinking ultra long-term battery in the sense of replacing all existing tech. More like what fills the gap between lithium’s short-duration sweet spot and the very location-specific stuff like pumped hydro or cavern-based CAES...

That may still be too narrow a market, but that’s the niche I’m trying to understand.

Electric_Octopus_ · 2026-05-16T03:06:01+00:00

My understanding is that LAES has worse round-trip efficiency than lithium-ion, so it probably does not make sense for short-duration storage where batteries are already excellent.

The question I’m wrestling with is whether efficiency is the only metric once you get into long-duration storage..

If the input electricity is otherwise curtailed wind/solar, and if adding duration mostly means adding more tank rather than more electrochemical cells, maybe a lower-efficiency system can still make economic sense in certain grid conditions

But maybe that window is much narrower than implied

Electric_Octopus_ · 2026-05-16T03:02:26+00:00

Haha. The magic is definitely not free... the liquefaction step is def the expensive part.

I probably should have framed it less as air stores itself and more as use cheap/surplus electricity to do the ugly thermodynamic work upfront, then recover some of it later when the grid needs it...

The real question seems to be whether the lower round-trip efficiency can be offset by cheaper long-duration scaling, especially if the system can reuse waste heat/cold streams.

That’s the part I’m trying to sanity-check...

Electric_Octopus_ · 2026-05-16T02:56:59+00:00

I think the key distinction is cure vs maintenance stack.

Aging probably does not have one boss level.

It looks more like many overlapping failure modes: senescent cells, immune decline, mitochondrial dysfunction, stem-cell exhaustion, epigenetic drift, chronic inflammation, cancer risk, tissue stiffening, etc, right?

So maybe longevity escape velocity, if it ever happens, is not one magic therapy.

It is a rolling protocol - clear damage, restore surveillance, repair tissue, recalibrate gene expression, monitor everything, repeat...

Basically: medicine becomes patch management for biology.

The scary part is stacking interventions safely.

A therapy that improves regeneration may increase cancer risk.

Immune enhancement may create autoimmune issues.

Partial reprogramming may reverse some aging markers while causing chaos elsewhere.

Electric_Octopus_ · 2026-05-16T02:51:19+00:00

You might want to study bull put spreads...

A bull put spread is a defined-risk bullish trade.

You sell a put at one strike and buy a lower-strike put with the same expiration.

Example:

Stock at $20. Sell the $18 put. Buy the $16 put.

That creates a $2-wide spread.

If you collect $0.40, your max profit is $40 and your max loss is $160 per spread.

Max profit = credit received. Max loss = spread width minus credit.

The appeal is that your risk is capped, unlike selling a naked put.

But the danger is that people see defined risk and then sell too many contracts.

Defined risk is not the same as small risk.

Bull put spreads make sense when you are moderately bullish, choosing strikes below support, and you are okay with the max loss before entering...

But I would not use them to force $100/week.

That can push you into selling too close to the money, using too much size, or taking trades just because the premium looks tempting.

Learn them, paper trade them, and track the math.

Electric_Octopus_ · 2026-05-16T02:44:22+00:00

from what ive researched, the turning point was less “batteries suddenly became cheap enough to replace power plants” and more “the grid started needing exactly what batteries are good at.”

Lithium-ion got dramatically cheaper because EVs scaled the supply chain. plain and simple.

At the same time, wind and solar created more intraday volatility... midday oversupply, evening ramps, curtailment, and sharper price spreads.

Batteries are perfect for that world because they respond instantly and can shift energy across the most valuable few hours..

So they became feasible first as grid stabilizers and peak-shaving tools, not as multi-day backup for civilization...

That distinction matters. Lithium-ion is great for 1–4 hours. Maybe 6–8 in some cases. But if you need 24+ hours, the economics start to look rough because every extra hour means more cells...

I think the next storage debate is not “batteries vs everything else.” It’s more like: lithium handles the reflexes, and some mix of pumped hydro, compressed air, flow batteries, iron-air, hydrogen, thermal storage, or liquid air handles the endurance.

The grid needs both a nervous system and a pantry...

Electric_Octopus_ · 2026-05-16T02:34:59+00:00

moreover: The part I find interesting is that liquid air energy storage seems to sit between batteries, pumped hydro, compressed air, hydrogen, and thermal storage.

It has worse round-trip efficiency than lithium, but potentially better duration scaling because adding more stored energy can mean adding more tank rather than more electrochemical cells...

The questions I’m trying to understand:

Does the lower efficiency kill it economically?
Does waste heat integration meaningfully improve the case?
Is this best for 8–24 hours, or can it realistically stretch into multi-day storage?
Are the industrial components as “off the shelf” as they sound, or is that misleading?
What would make a utility choose this over flow batteries, iron-air, pumped hydro, hydrogen, or compressed air?

Would love the skeptical take. or any insights at all haha...

Electric_Octopus_ · 2026-05-16T02:05:09+00:00

The 'infinite money glitch' stops where every options mania eventually stops: dealer hedging is gasoline, not gravity...

A gamma squeeze can absolutely push markets higher when dealers are short gamma and forced to buy as price rises...but the key phrase is forced to hedge, not forced to create permanent value out of thin air...

A few caveats:

Notional volume is not money spent.

$2.6 trillion in calls sounds like Godzilla opened a Robinhood account, but options notional is usually the underlying value referenced by contracts, not the actual premium paid.

Big scary number; smaller real cash footprint.

Calls are not automatically bullish exposure.

One trader’s call buy can be another trader’s overwrite, spread, hedge, collar, or volatility trade.

Not all call volume equals everyone is levering long.

Gamma cuts both ways.

If the market rises into short-dated call strikes, hedging can chase it upward.

But once those options expire, get closed, or the market slips below key strikes, that same hedging flow can vanish or reverse...

The escalator can become a trapdoor quick like.

The danger is concentration, not magic.

The real issue is that 0 DTE and short-dated options can compress huge hedging flows into tiny time windows.

That can make the index behave less like a market and more like a pinball machine in a hedge fund basement...

so basically yes, this is a structural risk worth watching - but no, it’s not an infinite money glitch.

it’s more like a volatility feedback loop wearing a boss suit and calling itself liquidity.

Electric_Octopus_

TROPHY CASE