Bitcoin: Decisive Levels and Patterns to Watch Coinspeaker

Number of confirmed Bitcoin transactions per day hits highest level since last bull run

Number of confirmed Bitcoin transactions per day hits highest level since last bull run submitted by coinsmash1 to CryptoCurrency [link] [comments]

Bitcoin transaction fees again reached low levels, and have hit 1 Satoshi per byte to get into the next block.

Bitcoin transaction fees again reached low levels, and have hit 1 Satoshi per byte to get into the next block. submitted by marcharn to Bitcoin [link] [comments]

Number of confirmed Bitcoin transactions per day hits highest level since last bull run

Number of confirmed Bitcoin transactions per day hits highest level since last bull run submitted by coinsmash1 to CryptoCurrencies [link] [comments]

Number of confirmed Bitcoin transactions per day hits highest level since last bull run

Number of confirmed Bitcoin transactions per day hits highest level since last bull run submitted by coinsmash1 to CryptoMarkets [link] [comments]

Time to lobby Bitcoin's core devs: "SF Bitcoin Devs Seminar -- Scalability to billions of transactions per day, satoshi-level Micropayments, near-zero risk of custodial theft, & Instant transactions"... but only w/ a malleability-fixing soft fork.

Time to lobby Bitcoin's core devs: submitted by eragmus to Bitcoin [link] [comments]

Bitcoin transactions per day are hitting levels not seen since Jan 2018

Bitcoin transactions per day are hitting levels not seen since Jan 2018 submitted by scgco to GGCrypto [link] [comments]

Bitcoin Price Retesting Mean Levels Per Behavioral Finance – Bullish? - newsBTC

Bitcoin Price Retesting Mean Levels Per Behavioral Finance – Bullish? - newsBTC submitted by ulros to fbitcoin [link] [comments]

Number of confirmed Bitcoin transactions per day hits highest level since last bull run

Number of confirmed Bitcoin transactions per day hits highest level since last bull run submitted by scgco to GGCrypto [link] [comments]

Number of confirmed Bitcoin transactions per day hits highest level since last bull run

Number of confirmed Bitcoin transactions per day hits highest level since last bull run submitted by cryptoallbot1 to cryptoall [link] [comments]

Bitcoin Price Retesting Mean Levels Per Behavioral Finance – Bullish?

Bitcoin Price Retesting Mean Levels Per Behavioral Finance – Bullish? submitted by leftok to atbitcoin [link] [comments]

Bitcoin transactions per day slumping to 2015/16 levels

Bitcoin transactions per day slumping to 2015/16 levels submitted by AroundChicago to btc [link] [comments]

📊 Bitcoin transactions per day return to Jan 2018 levels

📊 Bitcoin transactions per day return to Jan 2018 levels submitted by GoWebICO to u/GoWebICO [link] [comments]

Report: Bitcoin Transactions Per Day Increase To January 2018 Levels (tl;dr)

submitted by CryptoNewsTLDR to Crypto_Currency_News [link] [comments]

Bitcoin (BTC) Transactions Per Day Increases to Levels Last Seen in January 2018

Bitcoin (BTC) Transactions Per Day Increases to Levels Last Seen in January 2018 submitted by Ranzware to BitNewsLive [link] [comments]

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels submitted by Cointelegraph_news to CoinTelegraph [link] [comments]

RT @Xentagz: #Bitcoin transactions per day back on Nov '17 levels https://t.co/2HiDMOemVV - Crypto Dynamic Info - Whales's

Posted at: February 5, 2019 at 04:42AM
By:
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submitted by cryptotradingbot to cryptobots [link] [comments]

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels submitted by Ranzware to BitNewsLive [link] [comments]

Report: Bitcoin Transactions Per Day Increase To January 2018 Levels (tl;dr)

Report: Bitcoin Transactions Per Day Increase To January 2018 Levels (tl;dr) submitted by cryptoallbot to cryptoall [link] [comments]

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels

Report: Bitcoin Transactions Per Day Increase to January 2018 Levels submitted by ThrillerPodcast to thrillerpodcast [link] [comments]

Bitcoin confirmed transactions per day currently at 2016 levels

Bitcoin confirmed transactions per day currently at 2016 levels submitted by rroocckk to CryptoCurrency [link] [comments]

[OC] Which front offices and agents are the 3 major newsbreakers connected to? I went through 6000+ tweets to find out!

If this sounds somewhat familiar, that's because I did a 2019-2020 version and posted it back in March.
In terms of changes from that post:
TL;DR
Tracked tweets of Woj, Shams and Haynes from 2018-2020 to see whether any of them report on a certain team or a certain agent's players more than their counterparts. Here is the main graph concerning a reporter's percentage of tweets per team separated into three periods (2019 season, 2020 offseason, 2020 season). Here is a separate graph with the Lakers and Warriors, because Haynes's percentages would skew the first graph.

During times like the NBA trade deadline or the lifting of the NBA free-agency moratorium, it’s not uncommon to see Twitter replies to (or Reddit comments about) star reporters reference their performance relative to others.
Woj is the preeminent scoop hound, but he is also notorious for writing hit pieces on LeBron (sources say it’s been widely rumoured that the reason for these is that Woj has always been unable to place a reliable source in LeBron’s camp). On the other end of the spectrum, it has been revealed that in exchange for exclusive intel on league memos and Pistons dealings, Woj wrote puff pieces on then-GM Joe Dumars (see above Kevin Draper link). Last summer, Woj was accused of being a Clippers shill on this very discussion board for noticeably driving the Kawhi Leonard free agency conversation towards the team.
This is the reason I undertook this project: to see whether some reporters have more sources in certain teams (and certain agencies) than other reporters.
First I’ll explain the methodology, then present the data with some initial comments.

Methodology

To make this manageable on myself, I limited myself to tracking the 3 major national reporters: Shams Charania of the Athletic, Chris Haynes of Yahoo Sports and the aforementioned Adrian Wojnarowski of ESPN.
The time period I initially tracked for was from January 1, 2020 to the end of the regular season March, but after finding a Twitter scraping tool on GitHub called Twint, I was able to easily retrieve all tweets since September 27, 2018. However, a month ago, Twitter closed their old API endpoints, and Twint ceased to work. I used vicinitas.io but the data loading became more time-consuming. Therefore, the tweets are up to the date of October 15 2020.
How I determined information was by manually parsing text tweets by the reporter (no retweets):
Now, I didn’t take every single text tweet:
Next, I had to assign possible teams to each tweet:
With all the methodology out of the way, here’s the data! (Here’s a link to a full Google Sheet)

Teams

Here's a graph of number of tweets per team per period, with the colours denoting reporter.
On a quick glance, here's which teams saw a significant period-over-period increase in number of tweets:
And here's which teams saw decreases over a period-by-period basis:
The problem with just using number of tweets is that it's not close on totals between Haynes vs. Woj or Shams. Here's a graph showing total number of tweets in each period for all three reporters. Haynes's most reported period doesn't even stack up to the least reported period of Woj or Shams.
Instead, let's look at percentage of tweets per team per period.
Now, you'll notice that there's two teams missing from the above graph: the Golden State Warriors and the Los Angeles Lakers. Here's the graphs for those two teams. As you can see, they would skew the previous graph far too much. During the 2019 NBA season, 27% of Chris Haynes's qualifying tweets could be possibly linked to the Warriors, and 14% of his qualifying tweets could be possibly linked to the Lakers.

Agents

Here's the top 10 agents in terms of number of potential tweets concerning their clients.
Agent Haynes Shams Woj Total
Rich Paul 15 28 24 67
Mark Bartelstein 4 16 30 50
Jeff Schwartz 3 10 25 38
Bill Duffy 2 13 14 29
Leon Rose 1 12 15 28
Aaron Mintz 2 9 15 26
Juan Perez 5 10 8 23
Aaron Goodwin 11 8 1 20
Steven Heumann 1 6 12 19
Sam Permut 1 13 5 19
Woj has the most tweets directly connected to agents by far. It wasn't uncommon to see "Player X signs deal with Team Y, Agent Z of Agency F tells ESPN." The agents that go to Woj (and some of their top clients):
One thing I found very intriguing: 15/16 of tweets concerning an Aaron Turner client were reported on by Shams. Turner is the head of Verus Basketball, whose clients include Terry Rozier, Victor Oladipo and Kevin Knox. Shams also reported more than 50% of news relating to clients of Sam Permut of Roc Nation. Permut is the current agent of Kyrie Irving, after Irving fired Jeff Wechsler near the beginning of the 2019 offseason. Permut also reps the Morris brothers and Trey Burke.
As for Chris Haynes, he doesn't really do much agent news (at least not at the level of Woj and Shams). However, he reported more than 50% of news relating to clients of Aaron Goodwin of Goodwin Sports Management, who reps Damian Lillard and DeMar DeRozan.
Here are the top 10 free agents from Forbes, along with their agent and who I predict will be the first/only one to break the news.
Player Agent Most Likely Reporter
Anthony Davis Rich Paul Too close to call, leaning Shams
Brandon Ingram Jeff Schwartz Woj
DeMar DeRozan Aaron Goodwin Haynes
Fred VanVleet Brian Jungreis Limited data
Andre Drummond Jeff Schwartz Woj
Montrezl Harrell Rich Paul Too close to call, leaning Shams
Gordon Hayward Mark Bartelstein Woj
Danilo Gallinari Michael Tellem Woj
Bogdan Bogdanovic Alexander Raskovic, Jason Ranne Limited data, but part of Wasserman, whose players are predominantly reported on by Woj
Davis Bertans Arturs Kalnitis Limited data
Thanks for reading! As always with this type of work, human error is not completely eliminated. If you think a tweet was mistakenly removed, feel free to drop me a line and I’ll try to explain my thought process on that specific tweet! Hope y’all enjoyed the research!
submitted by cilantro_samosa to nba [link] [comments]

What level of adoption would we need to see $10-20k per Bitcoin?

submitted by noworkforaweek to Bitcoin [link] [comments]

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