Jason Lewris
@jasonlewris
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The datawrestler | co-founder @parcllabs
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Joined March 2009
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Pinned Tweet
Looked at every on market single family home rental.
Seeing ~150k actives today.
Color coded them by price change since original list.
Bright red = -25% price cut
Bright green = +25 price increase
White = no change
Seeing a clear pattern in Atlanta. Rentals further out from
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I decided to look at the top 100 housing markets in the country in a multi-dimensional space using hundreds of housing stats from
@ParclLabs
data.
The machines found some very interesting patterns.
Let's dig in.
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Here's what we know about top iBuyers in Phoenix...
They hold close to $1B in homes right now
If they sold their active inventory today, they would lock in ~$100m in losses
They are slashing prices by 2% every ~14 days
Demand has dried up at current rates
This could get ugly
If top iBuyers sold their active inventory at their current asking price, they would lock in significant losses
In Phoenix, there is over a 10% delta between current asking and original purchase price
We took a look at dollar amounts...
A 🧵
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Was poking around
@ParclLabs
data and saw this....
We are in Buckeye AZ, Zip 85326
Each red dot is a rental SFH....
Notice anything bizarre about the clear BTR community in the bottom left? All units built in 2021 FYI
Britches might have been a bit too big 🤔
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Nearly 4% of the entire national portfolio of a handful of sophisticated operators with 1000+ units is concentrated in just 11 zip codes in Atlanta...
There are 41,704 zip codes in the country
They all went HEAVY in the same 11 zip codes out of 41,704 possible options...
The Atlanta Alarm?
The Labs data 🕵️ team did a deep dive. What we found:
Large SFR operators with 1000+ units own 0.7% of the US housing stock
In Atlanta, they own 4.4% of homes
In certain Atlanta zips, that’s over 1/10 homes
Let’s click in…
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What an Opendoor listing in Phoenix looks like these days...
9 price cuts
Pending sale 20% below purchase price
Most don't have pending sales statuses and have price cuts continuing🤔
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@KobeissiLetter
Will be interesting to keep track of housing during all of this…
Happy Saturday Florida! 🌴☀️
Here is where your real estate markets stand as of this morning...
Palm Bay separating itself from the pack
The Villages leading the bottom
Don't wait for us to post - get this data yourself anytime, every day👇
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Some thoughts on the housing inventory data crisis
TL,DV; none of the typical sources knows what they are talking about
Stay safe out there
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There is a lot of optimism around continued home price growth - I am a bit more reserved and here is why....
Investor activity is down 50-70% in many big markets - investors act as a parachute in declining markets as they are less sensitive to point in time market moves and
22 days into June and 35.63% of housing markets have negative MoM asking prices
63.47% of markets have more inventory available today than this time last month
You deserve real time housing insights - get it 👇
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The ball dropping in
#NYC
tonight is not the only thing plummeting in NY right now. Some insight into disproportionately impacted real estate in NY
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Not sure I quite buy the inventory shortage narrative in real estate.
While inventory may be down, sales are down by a bigger margin.
Looking at Sales/Listings nationally, using
@zillow
housing data we see the ratio is the lowest its been since May, 2020.
It gets worse...
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With all the talk about investor impact on housing, it sure would be nice if you could just get the actual answer directly.....
🤔
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Algorithm still under development w/
@ParclLabs
unit API. Started with 10% of all Florida active listings. About to scale up.
Intensity of the color is based on number of price changes by unit.
Bright = many units having done 5 or more price changes
Early patterns emerging.
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Was poking around
@ParclLabs
data lab and saw something interesting....
Punta Gorda, Florida
Why did Punta Gorda catch my eye?
To start, ~15% of all single family home rentals over the last 12 months were from large national operators (1000+ units).
Punta Gorda had never
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Took a look at the relationship among mortgage rates, home prices, and income
Over the last 12 months, less expensive markets in the South East appreciated as rates went up
West Coast - exact opposite. As rates went up, home prices went down
One idea is...
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"For the
@Parcl
trading markets, get me the percentage of all cash transactions over the last 6 months. Show as a table with the market name. Put USA at the top for reference."
🤔
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Last pattern: Things aren't looking great group
-40% YoY sales transactions
Flat YoY new inventory levels
Flat YoY listing and sales prices
-5% YoY rental rates
1% reduction in total investor ownership
Phoenix
Las Vegas
Charlotte
Cape Coral
Palm Bay
St. Louis
Austin
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Markets like Phoenix and Las Vegas are the lowest they have been in 5 years, under 20%.
For every 5 listings in these markets, only 1 sells.
Seems like plenty of inventory relative to the share of buyers.
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Remarkable that just 3 entities own 1 in 20 homes in these markets.
If the other 2 get involved in disposing of assets out of these areas, 100's of units will emerge overnight and accelerate volatility.
Who will buy these units fast enough to stabilize the market?
We detected unusual investor activity in St. Louis, let's dive in...
In St. Louis:
✅Large operators own only 1% of SFH's but represent 10% of the listing for sale market
✅32% of their St. Louis portfolio is in just 2 zips
✅In these zips, they own 1 in 10 homes
✅Just 3
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Algorithm still under 🚧 and subject to change...90% complete
~150k active listings analyzed and counting
Bright spots = units with more price changes
Bright yellow = up to 10 price changes per unit
Dark blue = no price changes
Patterns emerging.
Via
@ParclLabs
API...
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San Francisco Metro vs. San Francisco City
A gap of nearly 0% for over a decade
That changed in 2020
Now there is a 97% gap in home price returns, the widest since at least 2010
How does this compare to Atlanta and Las Vegas....
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It's Sunday, and it's possible my brain is operating a bit more slowly...
@Redfin
maybe you can help me out here
For Newport RI, you indicate the median sale price last month was $799,000
In your data card, you indicate it was $675,000
A delta of $124,000
What am I missing?
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Not convinced the ideas coming out of the government on limiting institutional ownership will work as intended. I have seen proposals based on AUM and number of properties.
Operators fragment ownership throughout the country, either directly or via partnerships. Tying it back
Ever wonder what % of single family homes are owned by operators who currently own 10 or more units?
So did we....
Nationally, about 1/20 SFH's (~4%) are owned by these operators.
However, this can go as high as 1 in 6 homes in some markets.
Let's dive in....
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Hmm...I wonder what this is all about?
@ParclLabs
is on a mission to make real estate data transparent and accessible to everyone.
I wonder if this is a step on that journey?
🤔
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Great work by
@NewsLambert
&
@ResidentialClub
using
@ParclLabs
data to compare investor activity across major markets
Looking forward to connecting with Lance on Thursday at 4pm EST on X to click down further into investor activity across the country
Investors are pulling back from housing markets like San Francisco and L.A., while diving into places like Indy and Milwaukee.
Data via
@ParclLabs
@jasonlewris
Here's why 🏡👇
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Deep in the 🧪 and decided to take a look at what percent of new construction, single family homes convert to a rental within 6 months of sale.
Rate is up 5x since the beginning of the pandemic.
Nationwide, 1 in 20 new single family homes are used as rentals today.
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In Phoenix:
10% of active inventory has an asking price below original purchase price
Of this 10%, top iBuyers own almost half
3 out of 4 active units from top iBuyers would sell at a loss based on current asking price
And they still own close to a $1B in inventory right now
Of all active inventory currently on market by top iBuyers, ~3 out of 4 units have an asking price below the original purchase price in Phoenix and Las Vegas
This is compared to ~1 in 20 units for everyone else
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In an up market, knowing your neighbor was a nice to have.
Competitive intelligence was an afterthought - it's like picking stocks in a bull market - everyone is the smartest person in the room when everything was up and to the right.
The state of the housing market has
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We built an algorithm off of the
@ParclLabs
API that identifies supply/demand patterns, similar to what we found in Tampa.
It analyzed a thousand markets around the US and found 13, Tampa is one of them.
Markets that had outsized appreciation during the pandemic but have yet
Tampa is officially on our watch list.
Why?
Supply ↑ 40% YoY
Demand ↓ 27% YoY
1 in 2 Homes on Market w/Price Cuts
Trading ~flat since `22
Up ~100% since the Pandemic
5th most popular housing market for institutional investors
Let's dive in.
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The Case Shiller Index released November numbers today.
We were dialed in
@ParclLabs
except for one market, San Francisco.
In my opinion, I don't believe the Case Shiller Index is accurately tracking the SF housing market and here's why.
A 🧵
And the Case Shiller numbers finally released this morning for November of 2023. It is now almost Feb, 2024.
Here's how we did:
🎯 W/in 10 bp's in 3/10 mkts
🎯 W/in 50 bp's in 7/10 mkts
🎯 W/in 100 bp's in 9/10 mkts
🎯 Avg Error: 60 bps
SF was off, is there more here?
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Very excited to be partnering with
@HomePriceHedges
and bringing new products to the world through advanced real estate data, technology and analytics
🧱 by 🧱
We are thrilled to partner with
@HomePriceHedges
on an OTC product referencing our LA City price feed.
This is a significant first step towards offering US institutions & qualified individuals liquid exposure to best-in-class, daily real estate price feeds.
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If only there was a data company that could integrate STRs with SFRs, listings and sales at the unit level to provide a complete landscape of the housing market….in real time….indexed by institutional operators
🤔
Looking ahead, institutional homebuyers aim to acquire more short-term rentals (i.e. Airbnbs).
That's what several venture capitalists told me this week.
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We ran the numbers
@ParclLabs
in October. Here is the breakdown by portfolio size for the share of US single family homes owned:
✅ 10-99 Unit Portfolios (2.2%)
✅ 100-999 Unit Portfolios (0.5%)
✅ 1000+ Unit Portfolios (0.7%)
In total, this accumulates to 3.4% of US single
The stat below is FAKE news
Not even close to true
Institutional operators—those owning at least 1,000 homes—own 0.73% of the single-family housing stock (1 in 137 homes)
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After nearly 2 years monitoring the housing market discussion on Twitter carefully, I think I finally cracked the code....
If you want to participate in 99.99% of real estate conversations on Twitter, you can use this decision tree to fit right in.
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After analyzing hundreds of analysis by the leading authorities in residential real estate over nearly two years, I think I am finally equipped to make a meaningful contribution on par with how it's done....
I have synthesized my analysis into an image 👇
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Atlanta caught my eye again....
Let's recap:
The share of single family homes available for rent today in Atlanta:
✅10+ Unit Operators: 57%
✅100+ Unit Operators: 51%
✅1000+ Unit Operators: 44%
In Atlanta today, nearly 1 in 2 SFH's listed for rent are owned by
Ever wonder how concentrated the portfolios are of the largest SFH operators in the country?
So did we...
10 markets account for 50% of inventory for operators w/at least 1000 single family homes in their portfolio
Over 1 in 10 of their units falls into one market - Atlanta
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Big moves are being made by large operators in a time of uncertainty in the housing market....
🎯 Some operators are acquiring aggressively in tertiary markets, on pace with 2021 acquisitions YTD
🎯 Some operators are reshuffling the inventory, selling off older units while
Vinebrook Homes caught our attention recently, let's dive in....
Across the portfolio, for every recent purchase they are trying to dispose of 4 units.
They are aggressively disposing in several markets where they own at least 100 units, these include:
✅ Jackson, MS (16.4% of
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@FrancisSuarez
@elonmusk
@Twitter
Just imagine if
@elonmusk
integrated
@ParclLabs
real time housing market data into
@Twitter
and democratized real estate data such that we could track the impact of the tech exodus on San Francisco real estate and the outsized gains in the Magic City 🤔
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I will be
@IMN_RealEstate
along with
@trevorjbacon
next week in Scottsdale, AZ.
We will be bringing the full power of
@ParclLabs
with us.
Decided to visualize just 12 of the 385,577 portfolios of operators we analyze daily that we will be bringing with us to Scottsdale....
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Caught up on
@NewsLambert
piece this morning
He aggregated 29 forecast models predicting where housing prices would go in 2023
5 of 29 had positive outlooks
4 of those 5 make 💰 when there is strong consumer confidence in the housing market
🤔
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It's worth noting a few things here.
Status Quo in housing "reporting" is copy pasting a chart from 1 of ~3 sources with a thin anecdote layered on top.
There is another much smaller group of folks who download data from these same ~3 sources and create interesting ways of
The Southeast—in particular Atlanta—is the epicenter of institutional homeownership
Nationally, institutional homeownership is just under 1.0%—but there's a great deal of regional variation, according to
@ParclLabs
API
My least for
@ResidentialClub
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Tired of waiting a month to know what's happening in the housing market?
So was I....
So I created a recipe using
@ParclLabs
API to show you exactly how to do it, every day 👇
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Here is why I think it could be a bumpy road for the shelter component of inflation.....
It's well known the government uses lagged data. For the shelter component of the CPI that's about 6 months behind.
Shelter accounts for about a 1/3 of the CPI.
The housing data the
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@KobeissiLetter
It’s getting rocky in Tampa - rents down 2.5% YoY - large SFR operators may start disposing 👇
Turmoil in Tampa? We found some interesting things in the lab…
Tampa City home prices appear to have diverged from the metro trend YTD
26% gap in returns, widest since 2010
Let’s dive in…
A 🧵
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I've seen a lot of talk about institutional impact on homes.
I was already plugged into
@ParclLabs
and decided to click down myself.
I looked at all zip codes in GA state and ATL metro.
Specifically ones with at least 51% SFH's and >1000 units.
Let's dive in on what I found.
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Next pattern: The strong price action group
+14% YoY sales prices
+4% YoY rental prices
+10% YoY list prices
Akron, OH
Des Moines, IA
San Diego
Salt Lake City
Grand Rapids
Greenville, SC
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Housing data was broken. It was fragmented, inaccessible, and lacked much needed transparency. No one had all the information. Sales, listing, and rental data lived in completely different siloes. It was cryptic and difficult to use, and not keeping pace with advances in machine
After years of rebuilding housing data, it's time to bring it straight to you.....
The doors are officially open to the Lab 🥼 🧪
Free to sign up, accessible pricing, transparent, open-sourced analysis.
This is just the beginning. Let's build.
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@NewsLambert
Share of all single family homes in Atlanta owned by 1000+ operators:
US: 0.73%
Atlanta: 4.4%
Atlanta Zip Codes:
30088: 12.8%
30035: 12.5%
30058: 12.1%
30134: 12%
30291: 11.9%
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A 5,000 unit spread between Zillow and Realtor just for April.
Before
@ParclLabs
did anyone know what was happening with actual available inventory?
Miami - call pest control, we found a real estate data bug 🐞
Case Study: Active Inventory Counts April, 2023
Zillow: 32,256
Realtor: 37,314
Parcl Labs: 45,475
As of this morning, 50,762 units over a 30 day roll, which you can access for free 👇
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I ran the algo's and found patterns that stood out.
Up first: built heavy, we may have a problem group
1% growth in new builds YoY
30% YoY reduction in sales
2.5% YoY increase in listings
~3% ppsqf growth in sales prices
Nashville, TN
Raleigh
Mcallen
Columbia
Augusta, GA
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Some thoughts on this 🥶 morning on the future of real estate technology
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20 people did this. Why? Weather data is mature and accessible. It didn’t take 10x as many people to build weather data, instead they could focus right away on the models and the alpha.
I wonder how many people it will now take to get this type of alpha with
@ParclLabs
housing
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“There is enormous variation in how these portfolios are run, and that deals with the level of sophistication with using data and analytics”
Truth ☝️
Great piece by
@FortuneMagazine
covering the Blackstone acquisition of Tricon and my discussion with
@NewsLambert
this morning
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There's a reason leading investors, analytics institutions, and top media outlets use our data....
✅30%+ improved coverage on housing transactions
✅Insights 1-2 months faster than existing sources
✅Precise analytics at any level of the market
✅Built by engineers from top
🧵1/7 The need for real-time residential real estate data is paramount.
Yet, the S&P/Case-Shiller Home Price Indices, the primary benchmarks for US metros, will only update with July numbers on September 26th.
We find that to be unacceptable....
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@nickgerli1
In case you want to know how steep those cuts are....
2/ Tracking price changes is one thing, more importantly, what is the magnitude and direction of these changes...
Cleveland, Detroit, and San Francisco have experienced price reductions of ~4% each month since August.
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Going to save you 2 months of painstaking anticipation for May and June Case Shiller Numbers....
Most CS-20 markets will trend up in both May and June releases...
But this isn't the full story and here is why
Housing heated up this Spring - so have our Case Shiller predictions
How did we do for April numbers released this AM?
✅Directionally consistent in 9/10 markets
✅4/10 markets within 50 basis points
✅7/10 markets within ~1%
✅Overall error 0.83% (-20 basis points MoM)
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Next pattern: investors expand position, solid price performance
3% YoY increase in share of all homes owned by investors
+10% YoY sales prices
-6% YoY inventory
-11% YoY sales counts
Cleveland
Denver
Richmond
Louisville
Toledo
Indianapolis
Columbus
Kansas City
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Welcome to the future of real estate data
Faster, more complete, and more accessible than ever before
It's about time real estate data caught up to the year 2023
Get vastly improved data coverage and insights 5 weeks faster for your market with our API 👇
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@NewsLambert
@zillow
Not surprising - it takes the Zestimate months to reflect anything remotely close to a house price change in an area. Life was good for a lot of folks when everything was steadily up and to the right. Complacency catches up to you.
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1/ We have been rebuilding housing data for over 2 years now
@ParclLabs
and have learned a few things about the data, how decisions are made, and why housing data is broken.
Let me explain….
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The ability to compare markets, whether it be regions, states, metros, cities or neighborhoods in real time around the world is key.
Every market has demographics, housing dynamics, news, amenities like Starbucks and grocery stores and geospatial features.
Our API integrates
Deep in the 🧪 we are building on
@OpenAI
to create a plugin for ChatGPT so it can get smarter w/real time real estate insights
Let's see what happens w/a simple query - data from this 🌅:
Listings
Inventory
Pricing
Income
Get started with our API 👇🏽
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Some thoughts on Phoenix and the iBuyer situation on the way into the data lab this morning
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🧱 by 🧱 we will continue our tireless journey of indexing real estate across the planet.
Excited for this V2. We continue to learn more about global real estate dynamics every day and encapsulate those learnings into our new products.
This 🌅 we launched our Paris Price Feed V2...
After running thousands of experiments in the data 🧪🥼, we recognized we could make it faster and more accurate, so we did.
The only daily measure of Paris real estate.
You can read our full analysis 👇
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I love seeing this.
@ParclLabs
continues to provide transparency into the housing market through better, more accessible data.
Whether it's through our own, open sourced research, or our API.
I 🫡 you
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Proud of our team
@Parcl
@ParclLabs
for really leaning into this and learning how to augment their work allowing them to focus on their highest value areas
Learning a ton from them
I can't believe how many people don't realize the opportunity of AI right now.
So many people are worried about AI replacing them.
You need to be learning AI right now to get ahead and prepare.
Here are my top 10 guides on AI to help you get started:
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Deep in the
@ParclLabs
and I have a question.....
How would you visualize the relationship between rental rates, home values, and mortgage rates simultaneously?
I took a first stab 👇
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Across the single family home rental market in Florida:
YTD: +2.4%
July vs. August: -2%
Summer has been hot but some Florida SFH rental markets are cooling off
July vs. August rental asking prices:
🥶 Cooling Off ❄️
Deltona-Daytona Beach -6.2%
Jacksonville -4.5%
Orlando -3.4%
🔥 Heating Up 🔥
Homosassa Springs +21.9%
Tallahassee +14.7%
Naples +10.6%
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🫡 the real estate data game has definitely changed....
✅ 1-2 months faster
✅ 20%+ better coverage
✅ Rentals, listings, sales integrated under one roof
✅ Advanced real time institutional tracking
✅ Global coverage
@m3_melody
@RockenMonanna
Enter
@ParclLabs
and for lack of a better term, the new entrants. They have the ability to monitor everyone's data while monitoring other platform data. They syndicate information. It's a different ballgame than Tier 1 and 2. And we'll see more of this as time passes. They're
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Detailed charts and summaries for 47 different rental markets across the country 👇
Rents
🏎️ Move fast
⚡ Highly volatile
📍 Vary widely based on market-specific dynamics
We analyzed 47 top US markets using the brand new Rental Price Feeds so you can stay ahead of rental dynamics.
Time for a deep dive....
A 🧵
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Have been deep in the data lab over
@ParclLabs
examining a phenomenon that has been unfolding this week.
Thesis - there are SFR operators who concentrate on less expensive housing that are creating volatility in markets.
Set up:
✅ Operator must have at least 100 units
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Investor-owned properties as a percentage of total housing stock in key US metros:
🎰 Las Vegas: 18.46%
🌵 Phoenix: 15.48%
🏖️ Miami: 12.41%
🍑 Atlanta: 8.25%
🌴 Orlando: 9.57%
🏝️ Tampa: 9.9%
🏙️ Charlotte: 8.47%
🎸 Austin: 5.2%
Courtesy of
@ParclLabs
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@NewsLambert
Taking a look at the portfolios of 1000+ unit operators, they are heavily concentrated in Atlanta.
13.3% of their entire portfolio of homes are concentrated in Atlanta
The next closest market is Dallas and Phoenix at 5.4%
Atlanta is over 2x…
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@parcl
@nardotrealtor
Ground traffic a bit heavy in nyc today - anyone need a lift to some house parties??
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@unusual_whales
Can totally understand why Zillow would have that view.
Their data updates once a month.
Hard to do anything profitable in housing with that much of a lag.
Real time, tech forward, data companies have emerged that highlight just how behind companies like Zillow are 👇
For a look at whats happened in residential real estate since January for the Case Shiller 10 Metro Areas👇
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Hmm I wonder which of these housing markets are least represented by the Case Shiller Index….
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This is worth the watch 👇
Most millennials cannot afford to buy real estate in major global cities.
@Parcl
is changing that…
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Let's recap:
✅over 1 in 10 SFH's coming onto market are by operators w/10+ units
✅Those units are priced ~12% below the market
✅In major markets, 1 in 5 SFH's coming online are by larger operators
✅Relative to the SFH new listing count low the week of Aug 24, new SFH
Ever wonder what % of newly listed SFH's are owned by operators who currently own 10+ units?
So did we....
Nationally, Sept MTD (~11%) of newly listed SFH’s are owned by operators w/10+ units
This can go as high as 1 in 5 newly listed homes in some markets
Let's dive in....
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I often get asked from friends about what’s happening in their real estate market
Responding 1 by 1 wasn’t very scalable
Took a couple minutes this evening to wire up the
@parcllabs
api to manage this for me
Some basic stats to get the wheels in flight ✈️
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Deep in the lab crunching the latest numbers from
@ParclLabs
Decided to take a look at what advantage a real time, daily US housing market series provides to publicly traded tickers
Compared it to dozens of stocks at different lag intervals
Could be something here...
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Real time housing market data + ChatGPT?
Anyone can use ChatGPT - what they don't have is the context on what's happening today in the housing market
That's where
@ParclLabs
comes in so that you can stand out
Note how ChatGPT leveraged our demographics, inventory and home
Texas Two Step?
Here are 2 things happening
@ParclLabs
rn
1) ChatGPT Plugin shipped to dev API from local hosting
2) Texas markets are updating every day
Let's have ChatGPT write a quick Twitter thread on Austin as of this AM
Want early access?
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Now this is a big 🧠 idea
If
@ParclLabs
hosted a real estate data and analytics hackathon using our API, would you join?
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So short US price feed (home prices), long US rental price feed on
@Parcl
?
Issue with INVH or AMH as the proxy to home price values is they are too concentrated in a handful of markets, not representative of US housing, and increasingly competitive.
“The ‘smart’ trade is to Sell now and Rent until markets normalize (Rates down, Prices down and/or Wages up).
The cost to rent [right now] is similar to the cost to own with a 4% mortgage.”
- Sean Dobson, CEO of Amherst—which owns +44k rental homes
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I'm a data person, not a trader, this is not financial advice. However your feedback is greatly appreciated.
I am deep in the
@ParclLabs
and it occurred to me, there is a view of housing that is purely technical, using only the data in these charts.
Giving it a shot.
Let's go.
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Some thoughts on 3 pieces of data you can use as a buyer in todays real estate market to find opportunities where you may have outsized negotiation strength on offers
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Looking for a deal in today's housing market? Look for...
✅Listings held by iBuyers
✅Listings held by builders/developers
✅Listings that regularly price cut - motivated sellers
Thank you
@LanaZak
and
@errolbarnett
for having us on the show today!
Curious about the forecast for the 2023 housing market?
Parcl Labs spoke with
@CBSNews
anchors
@LanaZak
&
@errolbarnett
about the two possible paths, plus some opportunities potential homebuyers should consider in today's market.
📺:
@CBSMoneyWatch
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A few thoughts I had walking into the office today...
1. The top blew off in Phoenix Real Estate in June - folks really starting to talk about it now, in October?
2. Real Estate analytics needs work - people deserve more timely data and reporting
3. There is a better way
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🫡
1 reason headlines don’t report this: traditional barriers to accessing/analyzing this data were so high
$100k+ data contracts and teams of skilled engineers. This info was available only to a few firms who kept it 🔐🤫
That’s before Parcl Labs. You can pull it for free
Investors don't just buy houses. They sell a lot, too, but headlines often report only on acquisitions -- not net flows. This is a great chart from
@NewsLambert
(with Parcl Labs data) illustrating that point for May 2024.
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🧱 by 🧱 we will index every property on the planet
We 👀 you Paris.....
YTD comparison of on market asking prices
Paris Metro vs. New York Metro
Something about these don't look the same...
🤔
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A great walk through on everything wrong with existing real estate data methods and why something had to be done about it
Stop using lagged, incomplete + obscure housing indicators to inform your real estate decisions
The Parcl Labs Price Feed is the only DAILY housing price feed in the world, available for any US market, and 🔜 globally
Read our whitepaper to learn more:
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Simple algorithm to find Tampa….
I wonder what algorithm you could put together to identify the needle in the haystack?
Tampa is officially on our watch list.
Why?
Supply ↑ 40% YoY
Demand ↓ 27% YoY
1 in 2 Homes on Market w/Price Cuts
Trading ~flat since `22
Up ~100% since the Pandemic
5th most popular housing market for institutional investors
Let's dive in.
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🚨🚨🚨
@parcllabs
Las Vegas City price feeds now being offered OTC via
@HomePriceHedges
We are excited to announce another OTC product offering by
@HomePriceHedges
referencing our Las Vegas City price feed.
This continues our progression towards offering US institutions and qualified individuals liquid exposure to best-in-class, daily real estate pricing.
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Worth the follow if you want to start building intuition behind what drives real estate prices 👇
Introducing: Parcl Academy 📘
As per request, this is the start of a Parcl real estate education series.
Here are 3 of the top metrics to search for when determining if real estate markets are over or undervalued. 🧵
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