VRP
Invesco Variable Rate Preferred ETF
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This Barclays 2020 options strategy still works, but apparently not for retail
I backtested ATM short straddles across 50 tickers over 19 years to understand VRP
The world waits for $MU's Micron ER today ATC. Buy/ sell IV decision time! Buy for me! Logic below!
I built the most honest VRP put credit spread backtest I could. 7 years, 5 symbols. Terrible
I built a safety-first AI options trader to make money without working
DD: Institutions Bet Against Us With Their Retail Options Strategy, and We Can Flip It to Win
Spent 2 weeks building an honest SPY short-vol backtest. Same cell did +5,400% with a stop and -100%
Feedback on a profitable automated options trading tool for covered calls and cash-secured puts
Test of GEX/DEX/VEX/CHEX on 1,972 SPY days: raw GEX looks great, dies after VIX + ATM IV controls
I priced every SPY put credit spread, 2018-2026 (18M trades). Theory -EV, reality +$1.06/spread.
SPY's the only short-gamma leg of the index complex right now
SPY Market Recap - Positive Gamma Floor, Iran Bid, VRP Trap
Dealer positioning read: $8.38B GEX at SPY 700, QQQ below flip, vanna -$181B
Is earnings VRP strategy overcrowded and has it lost edge?
Will 0DTE Options Destroy the Market? BofA doesn't think so -> Deep dive into the flows...
0DTE Options... Volmageddon 2.0? or are the risks overstated...? -> Deep dive into the flow
Bank of America Global Liquidity Team takes a close look at 0DTE Options - Are they a Threat?
What about those 0DTE Options... Are they a threat? BofA Global Vol team deep dive...
Is 0DTE a Threat? BofA Analyzes the flow characteristics and pushes back on sensationalism...
Websites that have good data for options traders
Ultimate Guide to Selling Options Profitably PART 11 - Trading in a low volatility environment (VIX under 20)
Ultimate Guide to Selling Options Profitably PART 10 - Selling High IV Rank (In depth study)
Ultimate Guide to Selling Options Profitably PART 9 - Selling High IV Rank (In depth study)
Mentions
if you think its priced correctly, you have no edge and VRP (which is a PREMIA but you seem to think its an edge, so ill go with that), and you expect to make $0. jesus.
maybe the dumbest thing ever said here. saying a lot. without pricing the election comparing to mkt, you have no idea if the VRP is positive or negative in expectation. clueless
hard to know for sure until after the fact you know but i look at why the premium is elevated. is it earnings or some binary event or just broad market fear. if it's a known event like earnings the IV crush after is predictable so selling becomes more mechanical. if it's just general panic without a clear catalyst i'm more careful cause that can keep going i tend to focus more on what the individual underlying is doing. sector VRP being high helps but if the stock itself has weird price action i stay away. had enough times where i sold rich premium on something that looked juicy and then found out why it was expensive the hard way
So you’re kinda looking at this the wrong way. If you’re looking to enter at a certain price but no lower, sell at that strike -cost. So you wanna buy at 60$, sell the shortest duration that gives you that price. You can sell ATM. This is the buffet approach. Don’t forget that csps go up less than stock in a rally, so if you have the put during a face ripping rally you might no be happy. It also ties up a lot of capital. If your goal is to sell VRP (variance risk premium), then 45DTE around 0.2-0.3 delta is the sweet spot. This will probably yield the most inclme, but most involved The only reason id really see to go for yearlies would be during a crash/vol event and you could do portfolio secured puts. First step is to decide what you want to do. Own the stock, generate income/sell vol, use leverage/margin?
both can make sense. trying to trade directionally through ER is really hard, very much a coin flip. but there are solid effects: 1. \~2 weeks into ER vol begins to ramp. that's not free money but can be a good place to be long vol (if you are gamma scalping to offset your theta) 2. through ER there is often VRP, often a good place to be short vol (but can be a really bumpy ride).
great question, and you're turning an important corner. high premium doesn't mean anything itself. what we care about when selling options is the variance risk premium (implied vs realized volatility) which can be present in high and low vol conditions. a good starting point is to avoid the extremes, if using IVP, if its <20 or >80 vol is often priced pretty fairly (this is a GROSS overgeneralization but a simple starting point) try focusing on VRP as part of your analysis (note, if you do the same thing there, and focus when VRP is excessively high (we can percentile VRP like IV) youll often find a reversal factor there too)
Keep it simple. Term structure must be contango. VRP percentile instead of current IV-HV. Size so that you can execute first 200 trades, everything else will normalize.
Found the Microsoft employee that took the VRP
Backtest engine aimed for 45DTE +- a couple of days. As for buying straddles, i would need an entire new research to say confidentely. But my gut says it would loose even more money. You are paying VRP with every purchase, on top of costs of actually entering the trade. You would have some big winners because of negative skew in returns distribution and convexity in those returns, but loose overall. I might be wrong though
Yes you understand it correctly, the median move in the index over the sample is about 0.4%. Selling the butterflies comes down to the IV that the market is pricing and whether a volatility premium exists. The market is very efficient and there have been other posts on this sub that prove that there is a razor thing VRP to be captured. It is also regime dependent and you can have extended runs where realized volatility comes out ahead of the implied volatility. Earlier this year was one such period. So you need to have enough capital to survive these runs and any chance of success lies in very careful execution management since selling butterflies relies on the use of stops and slippage/broker costs is what makes or breaks the trade. Nonetheless you will find plenty of people out there claiming to do this, you can head over to thetagang to pick their brains.
Agree with this also, my GEX heatmap aligns with a negative VRP... I can see this market turning round in the near future. My thesis stems around the large scale investments AI companies are throwing at data centres... If we see an interest move higher, they need to service the debt on billions of dollars, which seems difficult when a subscription is $20/month. Revenue isn't matching the investment and so on
Methodology for the numbers, since someone will ask. Implied is the interpolated one month at the money vol at Friday Aug 14's close. Realized is close to close volatility over the trailing 30 trading days, annualized; the July figures use the same 30 day window rolled back. Against 20 day realized, which is 13.6, the spread is wider at about 2.3 points, and that is the number on the first chart's VRP card. IV rank places current one month implied inside its 252 day high low range, and the percentile is the share of the past year's closes below the current level. The expected move is the at the money straddle for the Aug 21 expiration. All data is end of day as of Friday's close, not real time. Charts are from ApexVol (disclosure: I build ApexVol).
In what way is this irresponsible? In edition to what they already said, VRP (I.e. the edge) has been shown to exist most strongly in indexes.
The risk of put writing is really just VRP vs price compression downside. With indexes, there is less VRP because there is less probability of downside skew (put skew). The only real concern with put writing is that the underlying falls way through your cost basis but you can always just roll out the date and not take assignment. This risk doesn't really exist on the core indexes for obvious reasons, hence my recommendation.
Concentration risk is pretty much eliminated if you just sell indexes short. You could diversify SPY/QQQ with single name semis or mag 7 and pretty easily beat index holding at 0.2-0.3 delta. I don’t have that size account so I mostly use VRP modeling to trade spreads to that effect.
Wouldn’t that hedge spread take away from the potential returns of that strategy (and potentially pull EV negative)? If I’m not mistaken, you’re suggesting going short vol (which is a fair bet), but I thought the theoretical reason that pays is due to the VRP which you’d be paying for with your further out hedge. It seems like doing that would either be unprofitable, or you’d have a certain gap in prices which would completely annihilate you were the underlying to expire there - similar to betting the middle third and then every number but 12 and 25.
whats up brotha - if you ever need anything man hit me up, happy to help however i can. technical indicators are mapped to profit mechanisms, its not technical indicators for the sake of them. the important part here is defining the profit mechanism THEN figuring out what kind of signals help you measure and capture it. for example: \- momentum: moving averages, volume profile, Absolute returns, Residual returns, (ranking and sorting via cross sectional (this just means ranking across tickers) and relative (ranking against itself), catalyst measurement, etc. \- vrp: implied and realized vol from various periods, VRP (variance risk premia, the gap between implied and realized) measurements, seasonality, percentiles (seeing how extreme things are), etc. How far out, and how many strikes away from the current price are you buying or selling? \> you might've guessed it, but it entirely depends on the strategy. options are known as "strategic investments" this simply means you can use them to build very specific things. what this means is there is not really a set: pick these kinda thing. it depends entirely on what your hypothesis and thesis are. based on those, we go into the options markets to build something that allows us to optimally express that idea. example, i was recently trading the relationship between SOXX and USO - for this trade, i actually used a synthetic short and long respectively because i actually wanted to REMOVE most of the greeks from the idea to better isolate the pair relationship. If you’re using the Greeks, what are the best indicators for buying/selling? \> doesnt exist. same as above. that said, greeks are mandatory to deeply understand, they help you with everything. just as with your rifle, you needed to learn it inside and out, it was your instrument. options are the instrument here. same knowledge is required. As a general background, I’ve been doing 0DTE or less than a week because I don’t usually have the money for options if they’re long-dated. I know it’s gambling at that level. But I’ve been using an I dictator called “sniper entry/exit” with 3 standard deviations, and a stochastic to show momentum. But these are slow to show a reliable entry/exit. \> i cannot emphasize how much i encourage you to not do this. the probability of you doing anything productive like this is so low its not even funny and even if you do happen to make money, the overwhelming probability is you'll just give it back. pls reconsider. youd be SO much better off aggressively saving your money, DCA into some tickers you like and papertrade to learn. just like before you ever sent rounds down range, you spent tons of time training, learning, practicing. same thing here. dude, i want this to work for you so bad. keep me in the loop and reach out whenever you need anything.
best advise is to measure the effects you're trying to play. in general, there are (4) that i do - but theyre not something you can blindly do, you need to profile the things you're trading. 1. long vol into ER starting \~2weeks out, planning to gamma scalp 2. short vol through ER playing VRP 3. immediate price reaction to ER 4. post earnings announcement drift for many of these, you can actually find some helpful research on SSRN to get started.
It was an awesome time! We did some live analysis then I walked through some SPX VRP research from 2007 to present. Identified where it tends to run rich, hope to research structures to capture it, etc.
No one? I've been making a full time living on almost entirely 0DTE for years. Its incredibly hard, but you can harvest VRP if you are disciplined and know what you are doing.
No option is setup to pay out, due to VRP, because no seller will purposely sell a winning ticket The only way a long option can win is if realized volatility > IV You only want to use options if you need and want leverage So, the correct answer on strike selection is how much leverage you want to use. Generally, the more confident you are on your thesis, the less leverage you should use
You’re basically running a levered short vol book disguised as “stock picking.” The issue isn’t monthly P/L, it’s regime dependency Naked puts + negligible cash works great in benign vol / mean reversion because you’re harvesting VRP and getting paid for gap risk. The problem is prolonged correlation spikes + vol-of-vol expansion where margin requirements reprice faster than your ability to adjust If you’ve survived tariff shocks and geopolitics without damage, odds are you’ve mostly traded in a favorable path-dependent environment. A grinding bear with elevated IV and failed rebounds is usually where this breaks, not the one-day panic Instead of adding random strategies, I’d think in terms of portfolio Greeks and regime diversification: – Put ratio/backspreads or cheap tail convexity for left-tail events – SPX/XSP defined-risk structures to cap margin expansion – Calendar/diagonal exposure when IV term structure gets dislocated – More index short vol, less single-name gap risk The question isn’t “what makes more income?” It’s “what survives when realized vol stays above implied longer than expected?”
Not highlighted here but I am assuming you went with holding on to expiration, so no long legs? If so then the concern expressed above is not valid since stops won't matter in that scenario. While substantially different from the real trading mechanics this will give you a good estimate of whether any real edge exists in selling VRP (and it should because MMs need to make money). My question was whether crossing the spread will kill any of this edge making this a highly technical strategy that won't work for anyone just getting filled with adverse selection at mid or by crossing the spread.
I don't calculate vol crush because it's kind of impossible to predict the fuckery in first 15 min at open like you noted. Price maybe in range overnight but drop like a rock/shoot up like rocket at open or vice versa. I saw some wild stuff happened, like price stand still ATM on Costco in last Q3 or 2SD move down in Nike at open. There is no way to predict that. Like a lot of people here criticize you or in the ADBE thread (not sure where I see which one), if you just sell every earning, statistically implied move is overpriced but in long term, you will be in negative (IV not crushed as much as needed, slippage, fee, etc). You have to make your win amount and chance a little bit better to offset those overhead. I use a few thing to stack my odd against the inevitable coin flip: - VRP must be positive. Otherwise, you're not compensated enough for the risk. - IV have to be in backwardation, preferable steep IV term structure vs IV term structure without the earning. You need historical data for this to deduce the IV without earning. - Options volume has to be over 10k or you will have problem closing your spread at open at favorable price. So I use 3 moves: Implied move, average move, and average implied move. The last 2 will need historical data. Average implied move has to be bigger than average move. Implied move can be equal to average implied move but I prefer it be higher to make it worthwhile. That's how I decide it's expensive or not to short or long. I don't usually long because you have to be right about the direction, magnitude of the the move and hope it's there overnight or magically happen at open. Also those moves are correlated to quarters instead of annual average of all earning.
I use a variety of metrics - IV rank, VRP, historical mean opening gap, std deviation of gaps, IV vs crushed IV, etc, etc. It's an educated guess at best, but with 65% of earning IV overpriced and playing both long and short and winning 54% of the time, for the time being anyways my approach seems to be generating alpha. But then again it could just be luck. Who really knows?
I plugged Claude to flashalpha . It’s pretty good. Screener , VRP , GEX it’s all there https://flashalpha.com/docs/mcp
much love! i plays earnings all the time - it's actually one of the best market effects i attack. there are several phases: 1. IV expansion into the ER > here i look to play long vol - it often doesn't make much but it doesn't lose much either. every once in a while there will be strong moves that help the overall strategy. 2. IV contraction through the ER > this is a basic VRP effect, i target these all the time. 3. Immediate price response post ER (intra day). > i only target these in extremes. 4. Post earnings announcement drift > another staple, well documented. i essentially have a strategy outline for each that i run. for 1. i start looking \~2 weeks before ER. for 2. right near the close before the ER. 3. near the open after ER. 4. day or two after ER for the next several days to weeks.
That's a good reminder. A lot of premium sellers talk about VRP as if it's a guaranteed edge, when it's really more like a *small statistical tailwind* that can disappear for long stretches. The part that matters most isn't that VRP is positive 68% of the time. It's that the negative periods tend to be clustered and violent. You can collect small premiums for months and then give back a huge chunk during a volatility expansion if risk isn't managed properly. That's why I've always thought position sizing matters more than entry mechanics. The edge from selling premium is often measured in basis points, while the losses from being oversized can be measured in percentages of the account. VRP is real, but it's not a license to sell every day in every regime. The traders who survive seem to be the ones who recognize when they're harvesting a risk premium versus when they're simply underwriting market insurance at a bad price.
This is a classic debate in the options community, and honestly, the VRP (Volatility Risk Premium) data is such a rabbit hole. I’ve spent way too long pouring over historical data trying to find that perfect edge, only to realize that the market regimes have shifted so much since 2007 that what worked back then doesn't always translate cleanly to today. Real talk, if you're trying to build a system around VRP, you really need to be accounting for how liquidity and institutional flows have changed, because the premium you're capturing now isn't the same as it was fifteen years ago.
The 0.98pt average hides the part that actually bites you. VRP isnt evenly distributed across time, it clusters. The negative days dont arrive randomly, they bunch up in vol expansion regimes, which is exactly when your existing short premium is also marking against you. So the 32% of days with no premium and the worst drawdown days tend to be the same days, not independent draws. That correlation is the real reason blind perpetual selling lags the headline VRP number. The fix isnt to stop selling, its to size by regime so youre not adding exposure into the part of the distribution where premium and mark to market both go the wrong way at once.
Not really true - there have been many periods post 2020 with negative VRP. Consistently profitable in terms of cumulative PnL, sure - could be, depends entirely on the strategy. Yep, I’ve researched this stuff in pretty much every cut possible. The shorter term windows exhibit a more volatility profile in general but similar broad trends.
Nice work on the VRP analysis. SPX implied vs realized vol spread has been consistently profitable since the 2020 shift. Have you broken this down by DTE bucket? The 0-3 vs 30-45 spread profile tells very different stories in my backtests.
Naked is for institutions? What? Absolutely not lol. Second you absolutely don’t need to be naked to gain exposure to VRP - you simply diminish your total exposure, doesn’t eliminate it. I’m not arguing for spreads, I actually generally argue against them. That said, making it clear the statement itself is exactly .
Thanks for sharing. 1. Why 30 days versus 21 ? 2. On day 1, 30 days iv comes from options prices and RV comes from actual of day 1- day 30 vol. Are you sure you calculated right ? And did not measured rv of day -21 to day 0 ? 3. Also how did you measure the realised volatility? Did it use close-to-close, Parkinson, Yang-Zhang, or some other way? That completely changes the picture of VRP.
In no particular order: IV of nearest 2 expiration dates. From that I calc expected vol crush Historical abs value of past 12 EA moves - both opening gap and 1 day move Std dev of EA moves Establish 68% CI of moves, then adjust for vol crush Determine current expected move, calc from nearest expiry ATM straddle VRP VRP percentile 25 delta risk reversal 25 delta risk reversal percentile HV vs IV - for previous EA, not all days Then depending on cheap/rich score from the above, construct an asymmetrical, non-directional, defined risk option position with the closest to expiration. If it doesn't provide an acceptable RR, pass. If all good, pull trigger going into close On open next day, allow price discovery to occur 930 -945. Exit trade regardless of outcome. Move on to the next one.
The mod's answer is correct but there's a cleaner way to think about it. Theta and IV aren't the price of leverage — they're the price of optionality. When you buy a call you're paying for the right to participate in unlimited upside with capped downside. That asymmetry has a cost. Theta is what you pay per day to keep that asymmetry alive. IV is how expensive that asymmetry is at any given moment. Sellers favor options because the volatility risk premium means IV historically exceeds realized vol 70-80% of the time. You're not just on the other side of a coin flip — you're collecting a structural premium that exists because buyers consistently overpay for protection and upside exposure. The structure without theta or IV exposure is exactly what the mod said — owning shares. Pure delta, no optionality cost. The trade-off is you have full downside exposure with no leverage. Options are a zero-sum game at expiration but not in expectation — the VRP tilts it toward sellers systematically over time.
This is honestly one of the few VRP posts that *doesn’t* feel like fantasy math. The biggest takeaway to me is how execution/friction completely destroyed the “high win rate” illusion: * realistic fills * spread crossing * low fill rates * asymmetrical payoff That’s the stuff most option backtests quietly ignore. Also the point about “risk\_on underperforming neutral” is super interesting because it suggests the classifier may just be amplifying exposure exactly when vol is underpriced.
Solid setup reasoning on the VRP and IV cheapness. Worth a quick check on the broader portfolio side: if you're already in AAPL, AMD, GOOGL, or AVGO alongside this NVDA IC, [strikerate.ca](http://strikerate.ca) just shipped a geographic concentration map that plots all your open positions by company HQ. AAPL/NVDA/GOOGL/AMD are all within a 15-mile radius in Santa Clara — a semiconductor export control, Bay Area earthquake, or earnings contagion hits the cluster as one risk event, not isolated tickers. Not a reason to sit out, just context for how much actual delta is concentrated in one metro when you enter.
I started in 07 and as of last year maintained just over a 30% CAGR. It’s unequivocally worth it if you’re able to make it all fit. Theres a healthy dose of luck and that strange thing of “if you do what you like it doesn’t feel like work”. For whatever reason, I really like trading. I think I identified early this was something that could offer great rewards so I learned to love it and have stuck with it for almost 20 years. I’m 35 now and am fortunate enough to live a completely different life than most of my peers. 2020 was an interesting year but nothing too special. The total drop wasn’t that severe it was more the speed. My biggest memory was being upset that I didn’t get to fully scale into my positions because I was following my standard bear market playbook where they can last on average 298 days. 2020 and 2021 from a meme stock lens my primary play here was GME. I trade a lot of different profit mechanisms and had an alert pop for a weird volume block that kept pinging. I followed the flow to later find out it was roaring kitty and just ahead of the squeeze. Insanely fun. Rode to the upside got stopped then played the collapse and subsequent vol. 2022 was nothing that registered other than the market was soft. Simply leaned into non long market beta profit mechanisms: momentum, reversals, VRP, earnings plays, etc. 2025 also nothing really notable either, business as usual. For those that choose to embrace trading as what it is - hard work that like other careers can pay off if done well, it’s a great place to be.
Yup there’s still risk like all investments but I prioritize safety-first before maximizing returns. I’m trading with no margin, no leverage, no naked options, backtested my strategies since 2012, and take into account a bunch of other factors like RSI, VRP, delta, earnings, and much more.
Best approaches institutions use: Skew-adjusted probability — use put IV at your strike instead of ATM IV to back out implied probability. More accurate than delta. Historical breach rate — backtest how often SPX has closed below your strike at expiration over the last 10-15 years. Real data beats model assumptions. VRP z-score filter — only sell when IV is statistically elevated vs realized vol. When z > 1.0 you have more cushion built into the premium. The honest answer: no model gives you the true probability. You're always estimating. That's why sizing conservatively and running hundreds of trades matters more than getting the exact probability right on any single trade.
The math is right but the input is wrong. Delta is risk neutral probability, not real world probability of ITM, and on OTM puts the divergence goes in your favor on the right underlying. The variance risk premium (VRP) is the empirical observation that implied volatility on equity index options has been persistently above realized vol since the 1990s. On SPX the long run average is implied roughly 17 percent and realized roughly 13 to 14 percent. That gap translates to delta overstating real world ITM probability on OTM puts by something like 30 to 50 percent. So a 10 delta put has roughly a 6 to 7 percent real world probability of expiring ITM, not 10. That flips your EV calc positive on an SPX style underlying. The problem with your specific position is the underlying. TQQQ is 3x leveraged QQQ, and the daily rebalancing structure means realized vol often runs hot relative to implied because path dependent moves get magnified. Empirically the VRP on 3x leveraged ETFs is much smaller and sometimes negative. So on TQQQ specifically, delta as a proxy for ITM probability is probably closer to accurate, and your math saying you need real probability below 7.2 percent to be positive EV is probably real. Two structural points: first, the strategy works on broad indexes (SPY, IWM, QQQ) where VRP is well documented, not on leveraged products. Second, even where VRP exists, it's not a free lunch. The same VRP that gives you positive EV in calm regimes turns sharply negative during vol expansion events (Feb 2018, March 2020, Q4 2022). The historical return profile is small steady gains punctuated by occasional large losses, so the realized Sharpe is not great even when EV is positive.
I’m slowly becoming detractor of Tom and his tasty world. Tho I’m grateful Mike from his Tasty days introduced me to the concepts. But they cover tip of the iceberg. VRP and the likes are good systems to understand. It actually explains some form of universal risk profile, regardless of options or stocks. Read up on Volatility trades if you’re interested.
Honestly I had not thought about open sourcing it, but that is not a bad idea. I'm using GPT's frontier model filled in with market info like delta, DTE, spread, open interest, IV, VRP, VIX, earnings/news, and RSI and to either approve or reject the trade.
in a nutshell, my strategy and edge is to identify a handful of profit mechanisms that I understand well and find matching opportunities. i find profit mechanisms (PM) through observation and research. I then study those carefully (I call this profiling) and build individual strategies wrapped around those PMs. for an example, a common in the derivatives world is VRP - variance risk premium, the propensity for implied vol to rend over realized vol. simple enough at a high level but in operation, short vol strategies targeting these effects will experience large outsized losses periodically. the edge is designing a system to deploy during more lucrative times (accepting losses will still occur but will be compensated more appropriately) and scale down in less lucrative times. etc.
a few thousand, not too much. not really a minimum to be profitable but there are efficiencies gained by having capital. there's also the reality of path - aka we may be trading something robust but that still will occur losing trades. if our capital runway is so short that we cant endure periods of bad path, that's a problem. when chatting with friends, i first normally turn them away from trading. for those that are serious about it, the initial offering is to papertrade first to practice without losing a ton and then from there thinking carefully about what kind of profit mechanisms they want to attach and if they're suitable for their account size. example, if a trader with $5K said - "Erik, I want to trade VRP through earnings releases" I would say "No you don't". while a completely valid profit mechanism, even a well executed short vol earnings strategy will go through bad paths than can be crippling to small accounts. but - provided a trader has papertraded and built a reasonable foundation, the more capital they can start with the better. if they've not done that, starting with more capital will likely just result in them losing it on stupid mistakes.
mostly 45delta across tenors was most consistent performer for this test. its simply the most premium to capture VRP. tenors varied. 14 days is strong, followed by 45
The sim is biased pessimistic on entry - I lose at the fill and win on theta during the hold. But I also measured edge\_captured per fill and its negative in my data (mean \~−$0.04 to −$0.07). Won't really know how it behaves on the next gap-down until the next gap-down. That's the part you can't backtest your way around. also : * SL=100% paired with a 30% peak-to-trough drawdown circuit breaker - so the meta-stop fires before ruin compounds, even if the SL fill is much worse than sim. * Size the strategy assuming I'm off by \~2× on tail SL fills, not at the in-sample number. Long story but VRP trading doesn't seem as easy to backtest as I thought... I mean I could do thousands % but when you introduce proper methodology it sucks
I was testing new position immediately(bad results) with VRP signals - which improved things a lot. But still all in all moderate winnings at best. My current suspicion is fill simulator is too restrictive and you CAN get better fills on the market.
By "experimenting with strangles," based on your return profile, I believe you mean you've been "experimenting with selling strangles." 1. Shorting options works when you either get the direction right or VRP right. Get either wrong and you lose. 2. Same goes for buying options 3. Not all option strategies work in all markets. Selling puts in a bull market = brilliant trader. Bear market? Not so brilliant 4. Options can generate alpha because of their complexity well beyond that of simple equities and because of the never ending source of newbies that blow up trying to become rich trading them. 5. But to be successful, you need to match your the sophistication of your strategy to that of the instrument. Simple strategies like always sell vol regardless of the market or even selling vol when "IV is high" is the source of alpha for those of us that can evaluate the vol surface etc to exploit the resulting Inefficiencies.
There’s a writeup of some of the parameters here: [https://puthouse.com/blog/safety-first-trading-approach](https://puthouse.com/blog/safety-first-trading-approach) The app explains everything as well. It looks at trades around 7 to 14 DTE, 0.05 to 0.15 delta, decent liquidity based on OI, volume, and stock price, 15% max bid-ask spread, VRP > 1.10, RSI 30-70, no nearby earnings, and skips new entries when VIX is over 30 or there are underwater positions. The other piece is sizing and exits. CSP is capped at 15% of account equity, max 2 open CSPs per symbol, covered calls can only cover up to 80% of the shares for a symbol, max 5 open CCs per symbol, and max 2 same-symbol entries per day. For exits, it takes profit at 50% of premium received, exits if delta reaches 0.30 or exits option moves 1.5x of entry, and cooldown from new entries for 3 days after a risk exit.
clean read Basically, the market is pinned between 700 and 710, with dealers controlling flow selling premium sounds good but VRP negative = you’re underpaid for risk condor makes sense; just don’t oversize real move only happens if vol spikes (vanna flips); otherwise, the chop continues
I'm just finding my footing w investing (just about two years of putting money in) and I've recently solidified a new investment strategy for my portfolio: 80% for growth (64% US - VOO, SPMO, XMMO, AVUV; 16% International - SCHF, VXUS) and 20% primarily for dividends (VRP, SCHD, SPHD). Is this a well-diversified portfolio that'll grow well long-term (30+ years) and pay decent dividends in the medium term (10+ years)?
The VRP gap you are showing is consistent with what other SPY credit spread datasets find, but the part that matters most for trading is where in the distribution the edge actually lives. Two slicing variables tend to flip the picture. First, IV rank at entry. Selling 20 to 30 delta spreads when IV rank is under 30 historically captures a much smaller realized edge than the same structure when IV rank sits above 50, because the skew premium you are harvesting is itself a function of how stressed the vol surface was when you sold. Second, outcome timing. Hold to expiration versus 50 percent profit close changes both the realized mean and the tail distribution. The first smooths everything, the second caps the left tail. Would be interesting to see the edge broken out by VIX quintile at entry.
Short strangles doesn't have 100% win rate. What did your backtest showed ? Your question shall be: What can community guide you on when they switch from selling strangle to not selling or buying and vice versa ? How did others overcome last 1 month as short sellers (specifically strangles in your case) If the next week IV is 40% and the next week RV comes out to be 42% we have negative VRP and despite high initial IV, seller may lose money. Second: an option doesn't remain delta neutral for very long by default.
Unusual Whales is one source of VRP. But again, a simple test is the value of the spread vs the max gain/loss. Provide an example or 2 of what trades you have put. Without telling me the outcome, I'll give you my assessment of the odds of profit of gain/loss based on buying/selling
How do I check VRP? I checked SVRPO and it’s ticking upwards today. I noticed lately the premium sucks. But I don’t know how to gauge when it’s good to sell and good to buy.
Are you just always selling spreads regardless of prices/IV? If so you are doing it wrong. If VRP is low/negative, there's money to be made by being long. A simple metric is to observe the rr of the trade. If a 5 wide SPX spread is trading for $0.20 one day then $1.40 another day, on avg you should be a buyer at $0.20 and a seller at $1.40. Always rotely buying/selling regardless is a sure way to lose $ in the long run.
the apr 21 expiry question is the tricky one for short vol. you're collecting one day of theta against overnight gamma exposure through a binary geopolitical event. oil already moved 10% in one session on hormuz opening -- if the ceasefire lapses tonight, that gamma spike can easily be 2-3x what you collected. at this point selling apr 21 is just a directional bet on ceasefire extension. the fomc is the cleaner theta sell imo. 97% no-change is already priced, the real risk is press conference language, whether powell frames post-war inflation as transitory or embedded. that tail is bounded. VRP there has been historically more stable than pure event binaries. 30-45 DTE bridging apr 28-29 beats anything touching apr 21 this week
For me, better to invest the portfolio in equities entirely, or nearly, for the upside equity risk premium. Then, sell short term SPX puts / put spreads far OTM with the buying power provided by the portfolio to capture addition variance risk premium. SPX settles in cash, so no pin risk. It’s tax favorable with split LTCG and STCG and no influence to the basis like the cover calls. If you want to capture upside VRP, sell some calls or call spreads into the mix, or ICs. But the put side is more favorable for premium—the market is willing to pay more for downside protection than lottery tickets. To answer your question about risks, this has a lot to do with deltas / strike selection. You don’t mention this so it’s difficult to assess in full.
If you are looking at VIX and trading 0DTE options you might as well be flying blind. VIX is constant maturity 30 days. Look at VIX1D - it tells a completely different story. And if you haven't heard of VIX1D, make sure you study up on its construction because it's much different than VIX's and therefore behaves much differently. Plus it's not really the ABS value of IV that matters the most, it's VRP. The are vol selling opportunities at low levels of IV just as there are vol buying opportunities at high levels of IV. The key is whether realized vol is greater/less than IV, regardless of the level of IV.
The only thing I don’t like about this is that you’re saying VRP is negative and IV is cheap. Why sell gamma/vega if that’s your assessment? Just delta hedge a straddle
This data perfectly validates the **8-14 DTE sweet spot** I use in my automated setup, which effectively captures the 'theta meat' while avoiding high-gamma risk near expiry. By layering in a **0.30 Delta emergency exit** and **VRP (IV/RV) filters**, you can solve the 'win rate without context' problem the other commenters are flagging. This shorter window provides the agility to reset strikes in shifting regimes that the traditional 30-45 DTE simply lacks.
I'm a better buyer than seller of vol at these levels. Humble brag - at last night's close I paid $1.10 and $0.20 for SPX 45 bp and 95 bp OOM call debit spreads respectively. I left money on the table but sold both for $3.50 each at different times today as the mkt wen bid. Cha- ching! Before the "cease fire", the same spreads were trading at $1.90-$2.25/ $0.85-$1.35 - the trade then was to sell them short. To state the obvious, options/vol markets are dynamic and you need to adjust your trading strategy accordingly. There is no such thing as an options strategy that works in all markets. VRP at its best!
HV will not Pr. Definition tell you how the future IV will look, that will give you an estimate, but not a facit. Calculating VRP’s won’t help as i will enter 20 high IV positions at the same time, every Strangel traded on weeklys, is hedged by a bought long call 2 year DTE. The strangels will be traded every week/month, so it wont help me to look for VRP for entry, as I will be in all the time. I am selling options, and have done for some time, but thank you for your attention to this matter…
You are asking the wrong question. Just because you sell options on high IV stock doesn't guarantee making $. A better metric - but not foolproof like everything else in options trading - is to target high VRP/HV stocks, which is not a static universe. If you don't know about VRP, you need to to do some more studying before jumping into selling options
I will research into inverse VRP to long options
i would think entirely differently. for example, the question id ask with the SP ICs, is WHY do i think they make money? it's not because of theta. it's not because of the structure. its from a different reason, pertaining to volatility. this matters because when you shift your focus from structures (Iron condors) to profit mechanisms (the effect you're trying to monetize, in the case of the short SP ICs, that's VRP variance risk premium), that opens your mind to look for the effect in other places. thats what i would do next. i know tom personally and like him a lot, ive never been a large consumer of tasty. they are cool in what they do but i have a lot of differences in my methodologies.
strategies I run are based on a handful of broad market effects: momentum (up and down), volatility (up, down, VRP, etc), correlations, catalysts, breakouts, those are kinda the big buckets. anything from a few to over 100. average floats closer to 20 or so (in the context of for something like a covered strangle in a levered ETF, i might have (3) pieces but im considering that one position). depends entirely on the market. current state, im 67% utilized. fluctuates from 7 figures to 6, never less than mid 6. i normally trade the account up, then pull capital out for other more passive investments and repeat this cycle.
From the vis you showed , it doesn’t show the current vrp against historical vrp . Stocks like TSLA have constantly high VRP , so where’s your edge ?
I am using V skew, VRP, and term structured RV vs IV to pick volatility dislocations...that is literally the definition of vol arb lmao. It doesn't need to be a delta neutral strategy to be considered vol arb. Look at the actual table of data I am calculating
I am absolutely doing vol arb then. I'm not doing delta neutral vol arb, but I am using VRP, term tenored RV vs IV, V skew, and finding volatility dislocations... that is the definition of vol arb. Just because I am picking a direction and not delta neutral doesn't mean this isn't vol arb haha
I mainly use SPX. When VIX levels are relatively low (14-18) the Volatility Risk Premium (a.k.a VRP) is higher, so neutral strategies work like a charm. I use Kelly Criterion and portfolio percentages as a guide for the width of my spreads. For the deltas I follow a mix between IV, HV, and skew to find my “optimal” strikes.
I spent 20+ years trading derivatives on Wall Street (both sell and buy side). My natural inclination is to be net long vol/gamma, especially in the wings. However, that doesn't always mean I never play from the short side. I look at the 0dte/2dte (and longer) vol surface to identify anomalies. Most retail broker platforms use standard binomial (Cox-Ross-Rubenstein) B-S, or Bjerksund-Stensland models. Each has advantages but also limitations. Sophisticated trading houses/market makers use proprietary or SABR models to exploit the limitations/underlying assumptions of the ubiquitous models. I do also. I this use "model arbitrage" to identify cheap/rich options and buy/ sell them. I evaluate the Greeks in the overall portfolio and delta hedge the overall portfolio as the underlying moves. My game is to exploit VRP, but I do so from both the long and short sides. Both buying and selling options involve risks that can be managed. But I see no reason to limit options trading to being long only. I take what the market gives me and my approach allows me to generate alpha in all market regimes, not just when IV < RV. There's no trading more satisfying than being long gamma in a choppy, volatile market, as you are naturally buying the underlying low and selling it high. However, my overriding risk management principle is to be never short gamma in the wings. Fat tail events with blow up accounts that fail to recognize that fact.
Does FlashAlpha give you VRP or how/where do you ger that?
0DTE/1DTE buyer here, mostly SPX. I have a Python script polling a GEX/Greeks API (FlashAlpha) and it basically answers all your questions. Stop-loss: I set it at the nearest big gamma wall. It's a structural level, not some random %. Entries: I only go in when price is near a dealer gamma flip zone. No setup, no trade. Overtrading: I check VRP before every session. If implied vol is running way above realized, I know I'm overpaying for premium so I just skip the day. Speed: Usually hold 20min to 2hrs. The gamma data also tells me when decay is about to speed up so I don't sit in a trade too long. Honestly the biggest value is having real reasons to sit out. Pure buying is more about discipline than anything else.
Few things: 1. You’re floating between IVP and IVR - to not confuse newer folks, these are different things. They’re similar most of the time but IVR is more prone to skew (it uses high and low end of the annual range vs IVP which is a simple percentage of days above / below current levels). 2. In no way is IVP (or IVR) terrible, they’re simply metrics. While I understand you label it that way for the post to gain traction which is totally cool, still worth noting. 3. Generally aligned on the remainder, solid post. 4. Risk premia or VRP is a useful metric, how has IV trended relative to realized vol. This needs to be lagged slightly to align them properly. 5. One of the most useful tools is actually creating a model to forecast your own vol. this will never be better than the market but it will provide a solid comparison to monitor changes and measure.
Short vol: Extreme VRP (z-score > 2.5) Short vol: Dispersion trade (short SPX, long 2 components on equal notional value) Long vol: Mean reversion on Extreme Z-Score (z-score > +/- 3) Long vol: Mean expansion on pairs
One isn't better than the other. Anyone that tries to say selling options is better is naive at best. Idk why or how people got this misconception but it isn't better. Just different. Yes, selling options have Greeks working for you and people flaunt the high probability but that is meaningless when it is nickels in front of a steam roller. They both require mastery to do so. If selling was so easy then you wouldnt have VRP. Those that tell you they succeeded, leave out a very crucial point. They are, in tandem, successfully hedging with futures or other assets to cover their ass. Everyone that sells knows the eventual pain of what it is like sitting in front of a high speed train. It sucks ass. Higher probability does not equate to positive EV. This isn't some secret and pretty easy to prove with basic math skills. And confining your trading to just selling or just buying is a gross oversimplification that is detrimental to your port
Easily 80% of my trades are now options. I run numerous strategies but on the short volatility side, I'm writing options to capture VRP. These are predominately non-directional trades expressed with strangles, iron butterflies, etc. On the long volatility side, I run a number of strategies as well. You get amazing convexity with long options (straddles, calls, or puts). So I'm looking for mean reversion underlyings where the call or put is cheap. Cheap defined as negative VRP plus 90-100% Realized Volatility %. Simply put, trying to generate consistent income by selling volatility and maximizing alpha by buying volatility.
Price drives IV, not the other way around VRP is an edge. Otherwise, there would be no game Who would be in the business of selling a game that is priced to be lost?
Skew on SPX moved lower yesterday even on the news. VRP is gone. A bunch of supportive delta fell off as well. The 15% news should introduce more volatility and uncertainty. If Trump does something geopolitical, like attack Iran, there isn’t a lot of supportive positioning.
Capturing VRP strategies. Those have been working not so well off late. Too many delta moves and you adjust to stay neutral and just end up paying commissions
Short vol isn’t an “edge”. There’s very clearly a reason there’s VRP (vol risk premia), if on its own it was strictly alpha, it would be lost to efficient market forces. This doesn’t happen. As a pro options trader, I would expect you to understand why. eventually every seller learns how easy it is to blow out selling puts/calls in front of a freight train. Both require equal amount of mastery, absolutely correct by op, sincerely hope you’re not a pro
Intrade multiple strategies, which focuses on capturing VRP, and majority of my capital is parked in a strategy which captures delta ( i make money on big moves ). I dont think it would sustain for years so im planning to move completely manual
I’d be interested to see if looking back he thought tasty attempted to over simplify option selling as a way of making it more approachable? From what I recall they solely focused on IV rank and IV as opposed to VRP (IV-RV). I’m sure if there was a poll there’s a lot of people who blew accounts by taking the tasty approach.
Oh neat. Didn’t know whales had VRP tools.
Totally agree with most of this especially that the VRP logic hasn’t changed. I think where I’m still thinking through it is whether faster spot movement and more frequent intraday stress changes the distribution of outcomes (earlier touches, more forced management) even if long run expectancy remains similar.
Silver is extremely liquid (easy to sell). The term OP is describing is the Volatility Risk Premium (VRP)
Listen to everyone telling you to sell. I'm I personally bullish, yes, do I think it could go higher into Friday yes, but this is basic risk management looking at the Trade you have running. First, and *least* important you are now going to be running into the period where Theta becomes a notable negative multiplier on *extrinsic* value if you end up holding around or below this price. I do not recommend this and think you should close the position judiciously tmrw, but at least roll up and out to secure profits and reset your Trade. You buying lottery tickets, gambling (no hate, it's all risk mgmt), or learning a skilled trade? More importantly though is the premium to cost buy right now versus to just close (i.e. Realized Volatility effect on IV, that leads to IV crush). If you are truly that bullish on ONDS and I am bullish on ONDS you can pour those profits in to shares preferably over a couple-few different buys instantly if you want to avoid Vega (i.e. this is a VRP-Risk-Volitlity Premium context). The risk here is Mean Reversion on news, not fundamentals. Timelines align, I think drone stocks are an incredible growth area *overtime*, but the fact that all drone stocks in my holdings and watch lists (ONDS, RCAT, AVAV, KTOS, LMT, LHX, etc) show this is a *sector pump* on potential news. That's just an exit with 650% profits with a Jan deadline. Flat out. Don't be overly greedy, reset the winners too.
i just pasted some of threads to learn more about what books might be useful . Here are the essential books for Systematic Volatility Arbitrage, categorized by their role in your learning path. # 1. The "Bible" (Foundational Theory) **"Option Volatility & Pricing" by Sheldon Natenberg** * **Why it’s relevant:** This is usually the first book given to new professional floor traders. It teaches you to stop looking at stock price and start looking at the **theoretical value** of an option. * **Key Focus:** Greeks, simple volatility math, and the relationship between different strategies. If you don't master this, you can't understand the "billions of backtests" logic. # 2. The Professional Practitioner’s Edge **"Volatility Trading" by Euan Sinclair** * **Why it’s relevant:** Sinclair is a physicist and professional trader. This is arguably the best book for a retail trader moving into the $50k–$2M range. He focuses on finding a **statistical edge** (the VRP) and sizing trades using the Kelly Criterion. * **Key Focus:** Estimating realized volatility, managing psychological bias, and why "cheap" options are often cheap for a reason. **"Trading Volatility: Correlation, Term Structure and Skew" by Colin Bennett** * **Why it’s relevant:** This is a rare, highly practical guide to how institutional desks actually trade **skew and term structure**. It explains exactly how to trade the "shape" of the volatility curve, which the trader you mentioned specializes in. * **Key Focus:** Index vs. Equity volatility, the "smile," and how dividends/carry affect option pricing. #
If you are interested into vol strategies, there are now a few software out there targeting retail traders and get close to what you find quant traders use. I have tested all of the one below and will give you my honest opinion: \- UnusualWhales: Great idea when it came out, but it is impossible to make money out of that thing. I would stay clear if you actually look for edge, but they have nice viz and sometimes it's nice to spend a friday afternoon looking for weird flows on obscure tickers. \- Spotgamma: this one is one I don't believe why it is so popular. Purely focus on directional trading and more specifically 0dte. They have supposedly some prop measures to compute dealer exposure, but when you talk with pros and do your due diligence a little, they all tell you the same thing: this is a fantasy and the market doesn't work like this. Unless you trade billions and work as a flow trader, there is no edge for a retail trader here. But again, nice app, great content. One last thing: do not ask annoying question about showing edge and profitability over time, you will get banned. \- Moontower ai: great tool from Kris who has been writing so much about vol trading over the years. He has worked at SIG for many years and knows what he is doing. He is focused on vol strategies, particularly the VRP. Now, my honest take is his tool is confusing and if you do not have his level of expertise, you are still left "guessing" or using your own experience to find what is the best trade. \- Sharpe two: amazing tool by Ksander. He uses ML to score where you should short or long vol on many tickers. And ... well it works. The guy has a background in trading and ML and ... it shows: he writes on substack and hasn't had a losing trades in 6 months. The tool is easy to use once you understand the concept of probabilities. What I love is the model output the reason why it makes a prediction which is very handy to keep learning and not just follow a black box. The downside: it requires some reframing of how you think trading. He doesn't do directional trading at all and is almost exclusively in ETFs. Def worth checking. I'll finish with Predicting Alpha who wishes they were what Moontower and Sharpe Two is. Except ... they are not. I lost a lot of money with them because their data were not accurate, but also they do not have a trading background. And how much Sean can be a nice guy, when shit hits the fan, you want to be in the community of someone who knows what he is doing. That's why I prefer Kris and Ksander's stuff: I learn a ton with Kris, I make money with Ksander.
Open to read other research, but according to the below, VRP is indeed more variable/wider in high-vol environments. Across deciles, VRP as a relative percent is fairly similar - but on absolute terms, it is indeed higher in high-vol. But again, on a risk-adjusted basis, low-vol VRP is more reliable. [https://alphaarchitect.com/in-calm-markets-should-we-buy-cheap-put-protection/](https://alphaarchitect.com/in-calm-markets-should-we-buy-cheap-put-protection/)
VRP in absolute terms is not higher in low-vol, but certainly less mechanical risk than trying to sell fat premiums into high VIX spike periods. Certainly a risk-adjusted tradeoff in poorer returns for more probability, rather than swinging for the fences.
It is extremely hard to time a vol spike. The best you can do is often routinely buy cheap lottery tickets. You can use VRP or the term structure (the contango may be too pronounced) but these are rarely great predictors of volatility snapping back up. It clusters and can stay low for a long time before a new catalyst bring the market back to its senses.
IVR has nothing to do with RV so you can sell Gamma and still make money (and usually VRP high in a low vol environment
You're assuming that the only factors influencing the underperformance of the CC funds is market risk, but that is not true. There are unrewarded risks and overhead costs. If there's 0.7% potential edge in VRP and the fund is spending 1.0% in overhead costs, netting a -0.3% return, taking the other side will not be profitable, even if you can do so at zero overhead.