Discover and read the best of Twitter Threads about #GOLDILOCKS
Most recents (9)
Nobody is bullish which is why I think that we could have a unexpected Rally baring a black swan event 
And investors are most bearish on US.
🐻♉️↗️↘️↔️⚠️🚩🔺🔻🧮 💰
Macro Review 🧵
01/15/2023
1/11
Core #CPI running at +3.1% SAAR confirmed #Goldilocks for Q422 and catalyzed a 🚀 in equities, metals, and hydrocarbons
#Core CPI - 3-month SAAR
Dec - 3.1%
Nov - 4.2%
Oct - 5.7%
Chart: #CoreCPI 5.7% 🔻
Macro Review 🧵
01/15/2023
1/11
Core #CPI running at +3.1% SAAR confirmed #Goldilocks for Q422 and catalyzed a 🚀 in equities, metals, and hydrocarbons
#Core CPI - 3-month SAAR
Dec - 3.1%
Nov - 4.2%
Oct - 5.7%
Chart: #CoreCPI 5.7% 🔻
1a/11
Despite all the recession talk - including my own, the @AtlantaFed #NowCast is projecting Q4 growth of +4.1%, an acceleration.
Growth 🔺 + Inflation 🔻 = #Quad1 #Goldilocks
Chart:
Despite all the recession talk - including my own, the @AtlantaFed #NowCast is projecting Q4 growth of +4.1%, an acceleration.
Growth 🔺 + Inflation 🔻 = #Quad1 #Goldilocks
Chart:
2/11
While #Quad1 #Goldilocks may be good for risk assets, it’s decidedly poor for the $USD, which continued ↘️ and took out the 50% retracement level of 102.12
Chart: $USD -1.64% (w) -9.94% 3M = T = Trend
While #Quad1 #Goldilocks may be good for risk assets, it’s decidedly poor for the $USD, which continued ↘️ and took out the 50% retracement level of 102.12
Chart: $USD -1.64% (w) -9.94% 3M = T = Trend
Hello Friday and the week to date!
$GOLD +1.55%
$GBP +1.08%
$USD -1.59%
$TLT +2.35%
$HYG +1.47%
$TNX -3.36%
$IWM +4.65%
$DAX +4.31%
$SSEC +1.26%
$NIKK +0.56%
#Bitcoin +11.26%
$COPPER +7.42%
$WTIC +6.26%
$NATGAS -0.54%
$SILVER +0.08%
Let's dig into the market 🧮!
$GOLD +1.55%
$GBP +1.08%
$USD -1.59%
$TLT +2.35%
$HYG +1.47%
$TNX -3.36%
$IWM +4.65%
$DAX +4.31%
$SSEC +1.26%
$NIKK +0.56%
#Bitcoin +11.26%
$COPPER +7.42%
$WTIC +6.26%
$NATGAS -0.54%
$SILVER +0.08%
Let's dig into the market 🧮!
Asia closed ↗️ ex-Japan
$NIKK 26119 -1.25%
$SSEC 3195 +1.0%
$TWII 14824 +0.65%
$HSI 21739 +1.05%
$KOSPI 2386 +0.9%
$IDX 6642 +0.2%
Australia ↗️
$ASX 7328 +0.65%
India ↗️
$BSE 60276 +0.55%
$NIKK 26119 -1.25%
$SSEC 3195 +1.0%
$TWII 14824 +0.65%
$HSI 21739 +1.05%
$KOSPI 2386 +0.9%
$IDX 6642 +0.2%
Australia ↗️
$ASX 7328 +0.65%
India ↗️
$BSE 60276 +0.55%
Europe ↗️♉️
$DAX 15075 +0.1%
$FTSE 7840 +0.6%
$CAC 7009 +0.5%
$AEX 748 +0.8%
$IBEX 8910 +0.95%
$MIB 25831 +0.4%
$SMI 11327 +0.35%
$MOEX 2186 unch
$VSTOXX 17.49 🔻⬅️
$DAX range = 14237 - 15240 ♉️
$DAX 15075 +0.1%
$FTSE 7840 +0.6%
$CAC 7009 +0.5%
$AEX 748 +0.8%
$IBEX 8910 +0.95%
$MIB 25831 +0.4%
$SMI 11327 +0.35%
$MOEX 2186 unch
$VSTOXX 17.49 🔻⬅️
$DAX range = 14237 - 15240 ♉️
A fantastic talk by Prof. @gemmaboleda of @putaupf, on #colexification at @abralin_oficial covering almost anything discussed in her paper jointly by Prof. Thomas Brochhagen also of @putaupf (Link to the paper and the author's webpages can be found in the comments). 1>11 🧵
"Here is summary of what the talk and the corresponding paper are all about:
"When do languages use the same word for different meanings? The #Goldilocks #Principle in the #lexicon 2>11
"When do languages use the same word for different meanings? The #Goldilocks #Principle in the #lexicon 2>11
It is common for languages to express multiple meanings with the same word, a phenomenon known as "#colexification".For instance, the meanings FINGER and TOE #colexify in the word 'dit' in Catalan (the word 'dit' expresses both meanings),while they do not colexify in English.3>11
Hello Friday and the Week to date
$SSEC +1.7%
$SPX +1.5%
$KOPSI +1.3%
$DAX +0.9%
$AUD +2.8%
$GBP +1.02%
$GOLD +0.9%
$USD -1.4%
$LUMBER +24.3%
$COTTON +8.8%
$BRENT +5.05%
$COPPER +4.35%
$BTC +3.5%
$TLT -1.8%
Let's dig into more 🧮!
$SSEC +1.7%
$SPX +1.5%
$KOPSI +1.3%
$DAX +0.9%
$AUD +2.8%
$GBP +1.02%
$GOLD +0.9%
$USD -1.4%
$LUMBER +24.3%
$COTTON +8.8%
$BRENT +5.05%
$COPPER +4.35%
$BTC +3.5%
$TLT -1.8%
Let's dig into more 🧮!
Closed for 🏔️ day yesterday, 🇯🇵 played catch ↗️
$NIKK 28547 +2.6% 🇯🇵
$SSEC 7032 -0.55%
$TWII 15289 +0.6%
$HSI 20163 +0.4%
$KOSPI 2528 +0.15%
$IDX 7130 -0.45%
Australia ↘️
$ASX 7032 -0.55%
India ↗️
$BSE 59519 +0.3%
$NIKK 28547 +2.6% 🇯🇵
$SSEC 7032 -0.55%
$TWII 15289 +0.6%
$HSI 20163 +0.4%
$KOSPI 2528 +0.15%
$IDX 7130 -0.45%
Australia ↘️
$ASX 7032 -0.55%
India ↗️
$BSE 59519 +0.3%
Europe ♉️↗️ at the open
$DAX 13779 +0.65%
$FTSE 7509 +0.6%
$CAC 6578 +0.5%
$AEX 726 -0.05%
$IBEX 8442 +0.75%
$MIB 22986 +0.55%
$SMI 11165 +0.1%
$MOEX 2140 +0.3% 🪆
$VSTOXX 21.15
$DAX range = 13376 - 13858 🐻
$DAX 13779 +0.65%
$FTSE 7509 +0.6%
$CAC 6578 +0.5%
$AEX 726 -0.05%
$IBEX 8442 +0.75%
$MIB 22986 +0.55%
$SMI 11165 +0.1%
$MOEX 2140 +0.3% 🪆
$VSTOXX 21.15
$DAX range = 13376 - 13858 🐻
I have been the most vocal $ARKK bear on twitter since $130 last summer. In recent months I have described the broader market as offering return free risk. I have refrained from predicting a crash - until yesterday in my twitter space. Markets only really crash from
oversold conditions. Equity markets are confronted with the unholy trinity of rising interest rates, a rising oil price and a rising dollar. Selling by retail has been minimal. Last Thursday saw record one day inflows. $ARKK has seen inflows in 10 of the last 13 weeks despite
a 50% YTD decline in share price (h/t @daChartLife ). These are things one does not see at a bottom. The complacency is staggering. Denial is not the name of a river in Egypt. The charts here from the prescient Rob Ginsberg are rather foreboding
With respect to the data, #coreCPI (excluding volatile food and #energy components) came in at 0.6% month-over-month and at a high 6% year-over-year.
Meanwhile, headline #CPI data printed at a strong 0.6% month-over-month and came in at 7.5% year-over-year, the greatest increase over a 12-month period since February 1982.
Additionally, the @federalreserve’s favored measure of #inflation, #corePCE, increased 0.5% in December, bringing the year-over-year figure for the measure to 4.9%, as of that month.
#FOE Japan is a free democracy, India is a partly free democracy: Compare the ratio of critical/unfavorable articles, to favorable articles, in the top 3 news sources in Japan & India respectively, to find which press is freer! #SciMe 1st data, 2nd Analysis, 3rd Policy/views!🧐🤔
3/demo #Majoritarianism & freedom: Compare treatment of minorities in USA(non-christian), Japan(Korean etc) & India (Muslims): In particular plot over 70yrs th % of minority pop on same graph & compare decadal changes[summarizes it's discrimination(in cntry) & opportunities(ROW)]
#MDSI2019 Day2 Session 2: "Standardization of file format I/O" by @jppiquem.
Straight into problems -- input files are a tougher cookie to crack than output 🍪
Straight into problems -- input files are a tougher cookie to crack than output 🍪
Actually, Day 2 Session 3 #hasphdcantcount
#Input: Many problems -- many possible solutions! How to find the right one? #goldilocks
#Output: probably easier to handle and we can learn from other fields, like climate research.
#Output: probably easier to handle and we can learn from other fields, like climate research.
