lebas_janney - Tweet Data Analysis
Tweets Analysis - Keyword: @lebas_janney
Veröffentlicht am 19. April 2023
Übersicht
Tweets covering
8 days
Latest tweet was on
2023-03-29
Earliest tweet was on
2023-03-20
Total number of tweets analysed
117
Average age of authors' accounts
8 years
Tweet-Arten
Number of Retweets
1
0% vom Gesamten
Number of Original tweets
1
0% vom Gesamten
Number of tweets that were Quotes
1
0% vom Gesamten
Number of tweets that were Replies
115
98% vom Gesamten
Number of tweets that contain Hashtags
0
0% vom Gesamten
Number of tweets that contain Mentions
117
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter for iPhone | 53 |
| Twitter Web App | 47 |
| TweetDeck | 6 |
| Twitter for Android | 6 |
| Twitter for iPad | 3 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| concodanomics | Conks 🥷(april fools gold) | Geopolitical and financial market forecasts/musings. Male. Monetary plumbing buff. Too many avocations. Not advice. “Epic thread” — @michaeljburry | 96.362 |
| dampedspring | Andy Constan | Damped Spring Macro Research, Investing & investor education, Brevan Howard, Bridgewater, Salomon, Father of 4. Go Penn, Pats, Sox, No tweet is advice | 88.322 |
| SqueezeMetrics | SqueezeMetrics | Dark pools, options, and volatility. | 86.397 |
| OffTheRunTrades | Penta Chin Capital | Lying permabear who gambles using washtub pattern recognition | 30.558 |
| BullandBaird | Michael Antonelli | Mkt Strategist at @rwbaird and author of “Bull and Baird,” a mkt blog. All tweets are opinion, I do not produce research. Chicago MBA [email protected] | 28.787 |
| LJKawa | Luke Kawa | Bilateral irritant; generally a good neighbour. Proud mini-poodle papa. Rocking chair enthusiast. Personal feed. | 22.944 |
| vixologist | Jim Carroll | Portfolio manager specializing in momentum and volatility strategies. Also hack guitar player who sings. Tweets and RTs are not investment advice. | 22.709 |
| 5_min_macro | Five Minute Macro | Macro Trader; tweeting on rates, FX, equities, commods, life's rich pageant...in roughly that order. Not looking to set the world to rights in 140 characters | 21.949 |
| vader7x | Lob Wedge Cap | active with futures and long secular themes, else on a golf course | 21.926 |
| juleshyman | Julie Hyman | Anchor 9-11am ET @YahooFinance. | 21.089 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| DukeStJournal | @DukeStJournal | I've got a job, a secretary, a mother, two ex-wives, and several bartenders that depend upon me, and I think Teddy Roosevelt is looking at me funny. | 5.599 |
| bauhiniacapital | baufinanciaphaster UNVERiFlED 👹 | 残り物には福がある. Trafiquant de l’ésotérique. Unverified(Ogre). Usually couth, sometimes kempt, often gruntled. Strong opinions, held weekly. https://t.co/UMAxn2VLpX | 5.238 |
| vixologist | Jim Carroll | Portfolio manager specializing in momentum and volatility strategies. Also hack guitar player who sings. Tweets and RTs are not investment advice. | 4.022 |
| mlgraham22 | MoonlightGraham 🇺🇦 | Husband, father, and general layabout. | 3.410 |
| LJKawa | Luke Kawa | Bilateral irritant; generally a good neighbour. Proud mini-poodle papa. Rocking chair enthusiast. Personal feed. | 3.267 |
| CapitalMaximum | Maximum Capital | - | 1.966 |
| vader7x | Lob Wedge Cap | active with futures and long secular themes, else on a golf course | 1.932 |
| BullandBaird | Michael Antonelli | Mkt Strategist at @rwbaird and author of “Bull and Baird,” a mkt blog. All tweets are opinion, I do not produce research. Chicago MBA [email protected] | 1.840 |
| 5_min_macro | Five Minute Macro | Macro Trader; tweeting on rates, FX, equities, commods, life's rich pageant...in roughly that order. Not looking to set the world to rights in 140 characters | 1.732 |
| beth_stanton | Beth Stanton | @business editor for US interest rates. Monitoring Treasuries, futures, TIPS since 1997. [email protected] or DM. Opinions mine & @compostmaven’s. | 1.647 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| LancasJosh | Founder of @TradingPost_App | 8 |
| tweet_at_DLH | Mostly just share content from my backtesting platform @tradewellapp | 7 |
| CraigMBA | I went to business school, now I clean your neighbors pool. Likes bikes, dogs, and being kind. | 5 |
| zentrader1254 | Futures and Index Swing Trader. Tweets are my personal trading journal and are not to be taken as investment or trading advice. | 4 |
| SteveMiran | Co-founder & portfolio manager, Amberwave Partners. Alumnus @USTreasury #77, @harvardecon. 🇺🇸🏳️🌈🏋️ personal views, not investing advice | 4 |
| BlacklionCTA | Christian, Global Macro, Family Office Derivatives, Recovering USN Aviator (A4, F14), USAF PEP F16, 2A, #OOTT #natgas, Pure Blood, Forbes 50k over 50. no advice | 4 |
| flowfocus | - | 3 |
| Z54Piggy | Sometimes, the inner voice is encouraging Calling for you to run those final few yards You're nearly there Keep going, keep going, keep going, keep going | 3 |
| Loathing_DJT | Retired, CFA. Mostly fintwit, but I also spend time during dull markets pondering how MAGA fans have avoided driving off the supposed flat earth. | 3 |
| BankofVol | My Bots do crazy things, never try this at home. #AI #ENSEMBLE it’s Logarithms fault. Luck is serial correlated #DeleteMeta #ICantBreathe #Peace | 3 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1638224502650707971 | @lebas_janney MBS/UST ratio of holdings. Completely agree they buy the belly on UST. But they got pretty extended on MBS | 1 |
| 1638583103454158866 | @lebas_janney Reading the minutes from the May '84 FOMC meeting is very interesting. First pic is an excerpt from Governor Wallich, the second is Volker's response. Are they talking about … | 1 |
| 1638223975359586330 | @lebas_janney 7's then. | 1 |
| 1640868124189945856 | @lebas_janney Fair enough. | 0 |
| 1638535571692814344 | @lebas_janney Financial stability trumps all, does it not? The Fed's mission of maintaining financial stability predates Humphrey-Hawkins. | 0 |
| 1638290970763747339 | @Solomon_Slate @Z54Piggy @lebas_janney Thanks Jay | 0 |
| 1638302925104766978 | @lebas_janney @Z54Piggy So the outcome is a credit crunch? | 0 |
| 1638319000273960961 | @tweet_at_DLH @lebas_janney Think the best thing to do is to monitor whatever metrics we can get our hands on real time | 0 |
| 1638325215653679105 | @lebas_janney @Z54Piggy Good way to look at it. | 0 |
| 1638325417969963008 | @lebas_janney @tweet_at_DLH @Z54Piggy This is the smartest take I've read on Twitter. | 0 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1639324626990821376 | @lebas_janney 2 chins is a min short (~ .2 beta) 8 chins is a max short (~ -1.25 beta) | 13 |
| 1639460023813152772 | @trinh_pham13 @lebas_janney @GRDecter Second one probably pays better. | 12 |
| 1639324736843857920 | @lebas_janney not risk 15% of the account on 20 handles of SPX short | 7 |
| 1639324968474517504 | @OffTheRunTrades @lebas_janney this is fintwit. we sling feces over SPX intraday path and destination | 7 |
| 1638732990212710409 | @lebas_janney Yup. And especially when it’s west coast banks. | 4 |
| 1640744347669782529 | @lebas_janney @BullandBaird Because he's a baller. | 4 |
| 1637824272981716992 | @lebas_janney @FDICgov You are right about the purpose but I short-handed it to fit the 250 limit... | 3 |
| 1638235468058730498 | @lebas_janney 'First you get the money, then you get the power, then you get the women'? | 3 |
| 1638242992069701644 | @lebas_janney @BlacklionCTA @backonmyfeet Done and hopefully more donations on the way! | 3 |
| 1638607719249883136 | @lebas_janney I think you’ll be surprised at his performance today. | 3 |
Top verwendete Sprachen
Top 10 Hashtags
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @lebas_janney | 117 |
| @z54piggy | 8 |
| @tweet_at_dlh | 8 |
| @vader7x | 5 |
| @backonmyfeet | 5 |
| @trinh_pham13 | 3 |
| @grdecter | 3 |
| @dampedspring | 3 |
| @alex_steger_ | 3 |
| @blacklioncta | 3 |
Wortwolke der Tweets
Emoji-Analyse
Durchschnittliche Emojis pro Tweet:
16
Verwendete Emojis
| Emoji | Count | Emoji Text |
|---|---|---|
| 😂 | 9 | face_with_tears_of_joy |
| 🙏 | 2 | folded_hands |
| 🤔 | 1 | thinking_face |
| 😆 | 1 | grinning_squinting_face |
| 🤷🏻♂️ | 1 | man_shrugging_light_skin_tone |
| 🤦♂️ | 1 | man_facepalming |
| 😭 | 1 | loudly_crying_face |
| 😅 | 1 | grinning_face_with_sweat |
| 😉 | 1 | winking_face |
| 🍿 | 1 | popcorn |
Emoji-Gruppen
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 14 |
| People & Body | 4 |
| Food & Drink | 1 |
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