Bitcoin-Betrugsopfer: "Bei 'Elon Musk' waren alle ...

Podcast-PlayList vom Dienstag, 12.05.2020

Die gesamte Tages-PlayList
Tagestipps
Sendung Titel
BR Kalenderblatt 12.5.1912 Jungfernfahrt der Wendelsteinbahn (1)
BR Wissen Entfremdung - Philosophie der Zerrissenheit (2)
BR Wissen Martin Buber - Was ist der Mensch? (3)
HR Der Tag Verfolgen statt Löschen! - Hasskommentare im Netz (4)
SWR Zeitwort 12.5.1818: Die Württembergische Spar-Casse wird gegründet (5)
WDR Zeitzeichen Florence Nightingale, Krankenpflegerin (Geburtstag 12.5.1820) (6)
WDR Feature Oury Jalloh (1/5) - Die Leiche ist schuld (7)
News
Zeit Titel wo min
05:09 Corona in Russland: Lockdown-Lockerung trotz trauriger Rekordzahlen (Wilczynski, Martha) DRK 3:00 ?
05:21 90 Prozent der Corona-Toten älter als 70 - Schwedens Altenpflege in der Kritik (Schmiester, Carsten) DLF 2:50 ?
05:40 Vielen Anti-Lockdown-Demonstranten in den USA geht es um die nackte Existenz (Hesse, Sebastian) DLF 3:19 ?
05:45 Auch deutsche Außenpolitik am Limit - Diplomatie in Zeiten von Corona (Kostolnik, Barbara) DLF 4:05 ?
06:09 #MeToo: WDR-Journalistin wirft frz. Ex-Präsident sexuelle Belästigung vor (Stracke, Ann-Kathrin) DRK 7:45 ?
06:11 Tesla widersetzt sich Behörden in Kalifornien - Produktion wieder aufgenommen (Schuler, Marcus) DLF 2:13 ?
06:45 Bewaffnete Drohnen für die Bundeswehr? - Nach Fach-Anhörung im Bundestag (Remme, Klaus) DLF 3:44 ?
07:15 Droht EU-Vertragsverletzungsverfahren? - Interview Markus Ferber, CSU-MdEP (Barenberg, Jasper) DLF 13:35 ?
07:20 US-Politik: Zuviel Macht der 70plus Generation (Friedman, Max Paul) DRK 4:40 ?
08:15 Proteste gegen Corona-Regeln - Interview Bernhard Pörksen, Medienwissenschaftler (Barenberg, Jasper) DLF 12:48 ?
08:45 Das Wichtigste heute Morgen (Barenberg, Jasper) DLF 4:06 ?
08:45 Demos und 'Covidioten' - Was gerade in der Kommunikation schiefläuft (Hielscher, Diane) DLF 5:49
11:10 Krise macht erfinderisch: Sido gibt ein Konzert vor parkenden Autos (Kniep, Uli) DRK 7:27 ?
11:21 Innere Gezeiten: Modern Studies mit dem Album 'Weight Of The Sun' (Schneider, Dirk) DRK 6:22 ?
12:32 Sich wieder öffnen? Von Diskussionen um Grenzöffnungen Tourismusofferten (Mastrobuoni, Tonia) DRK 3:29 ?
13:11 Washington: Vor Supreme-Court-Anhörung zu Trumps Steuererklärung (Kößler, Thilo) DLF 3:55 ?
13:36 Bitcoin-Halving in der Nacht: Warum die Produktion halbiert wird (Brenneis, Friedemann) DLF 4:16 ?
14:17 Vergessene Helden der Corona-Krise? PflegerInnen gehen auf die Straße (Petermann, Anke) DLF 5:41 ?
14:35 Asperger - Ein Comicheld mit Schwierigkeiten bei Kontrollverlust (Podcast) (Ufer, Gesa) DRK 6:29 ?
15:09 Jetzt auch noch Sido? Rap und Verschwörungstheorien (Barbian, Alex) DRK 7:05 ?
15:22 'Die Königin'- der dänische Oscarkandidat mit Trine Dyrholm läuft als VoD (Albrecht, Jörg) DLF 4:53 ?
15:55 Dank TikTok-Tanz zum Hit - Drakes Single 'Toosie Slide' (Wohlrath, Vanessa) DRK 6:11 ?
16:12 Heiße Luft? Bayern lässt die freien KünstlerInnen hängen (Krone, Tobias) DLF 8:14 ?
16:30 Homo sapiens, Gesten, Seetang (Baumhöfer, Kathrin) DLF 5:14
16:38 Kommentare: Pro und Contra zu Grenzöffnungen (Koch, Tonia; Watzke, Michael) DRK 5:47 ?
17:09 Wie kann eine Verlagerung der Medikamentenproduktion nach Europa gelingen? (Glaeske, Gerd) DRK 8:07 ?
18:18 Hat Trump versagt? Dr. Fauci vor dem Senatssausschuss (Sarre, Claudia) DLF 1:25 ?
18:30 Großbritannien weiter im Lockdown - Wie die Krise das Land verändert (Weltzeit) (Meurer, Friedbert; Burkhard, Birke; Hüttl, Tina) DRK 22:05 ?
18:40 Ansteckende Arbeitsbedingungen: Wenn der Job in der Corona-Krise zur Gefahr wird (Stange, Jennifer) DLF 18:59 ?
19:05 Nach Gerichtsurteil in Niedersachsen: Kippt jetzt die Quarantänepflicht? (Mohaupt, Dietrich) DLF 3:14 ?
19:15 Schuld und Schulden - Deutschland und die Frage der Reparationen (Leue, Vivien) DLF 43:45 ?
23:42 SPD-Personalien: Nahles geht zur Post und Schwesig genesen (Capellan, Frank) DLF 3:38
23:45 You never beat New York! - wie Stars für die Stadt sammeln (Passenheim, Antje) DRK 3:53 ?
Infos
(#) Info
(1) Eine Mammutaufgabe und aus der Sicht der Einheimischen ein sinnloses Projekt: Wer sollte mit einem Zug zu Berge fahren wollen? Wir, meinten dazu Touristen. Ihnen kam der Bau der Wendelsteinbahn entgegen.
(2) Viele Menschen fühlen sich fremd: im Job, in ihren Beziehungen, in der rasant getakteten Welt. Ihre Sinne verkümmern, sie vereinsamen, werden krank und brennen aus. Warum tun sie sich das an? Gibt es einen Ausweg? (BR 2018)
(3) Am Du zum Ich werden: Das ist ein Kernsatz von Bubers dialogischer Philosophie. Denn wir gründen im Miteinander mit der Natur, unseren Mitmenschen und dem Grund des Lebens - und werden so zu dem Menschen, der wir sind.
(4) Hass im Netz ist zu einem gesellschaftlichen Problem geworden. Niemand ist nicht gefährdet. Anfänglich setzte der Staat nur auf Löschpflichten der Internetplattformen. Inzwischen sollen die Hetzer spüren, dass ihr verbales Gift auch strafrechtlich relevant ist. Ein besonders unkonventioneller Ansatz findet sich in Hessen. Seit einem halben Jahr kooperieren die Generalstaatsanwaltschaft und ihre Zentralstelle zur Bekämpfung der Internetkriminalität (ZIT) mit der Zivilgesellschaft, u.a. mit HateAid, einer Organisation von Aktivisten, die volksverhetzende Posts und beleidigende Tweets in den Maileingang der Staatsanwälte befördern und anzeigen. Bis Anfang April wurden mehr als 140 Ermittlungsverfahren eingeleitet. Leider mit mäßigem Erfolg. Es fehlt an Kooperationsbereitschaft der Plattformbetreiber, deren Sitz häufig im Ausland ist. Aber auch an Identifizierbarkeit der Menschen hinter den anonymen Accounts. Was könnte helfen? Die grenzüberschreitende Erhebung elektronischer Beweismittel? Eine gesetzliche Meldepflicht für Hassspots?
(5) Es war ein Hilfs-Programm "zum Besten der ärmeren Volksklassen". Nach Hungersnöten sollten die Württemberger einen bescheidenen Wohlstand aufbauen können.
(6) Zur Legende wurde sie schon zu Lebzeiten als die „Lady mit der Lampe“, als die liebevoll sorgende Krankenschwester im Krimkrieg. Doch Florence Nightingale war viel mehr als die gute Seele, die nachts ihre Runden durch das Lazarett drehte. Sie sorgt dafür, dass die Todesrate in Lazaretten von 42 auf 2 Prozent sinkt, treibt Gesetzesinitiativen zur Kanalisierung von Privathäusern voran, und damit die Lebenserwartung um 20 Jahre nach oben. Ihr Rezept: Hygiene. Autor: Martin Herzog
(7) Folge 1: Kaum eine Stunde nach der Entdeckung der verkohlten Leiche haben sich die Verantwortlichen der Dessauer Polizei festgelegt: Der Mann in der Zelle soll sich selbst angezündet haben. Sie werden an dieser Version festhalten; über viele Jahre und Gerichtsverhandlungen hinweg, gegen jede Logik und immer neue Indizien. Es kann nicht sein, was nicht sein darf. // Von Margot Overath / WDR 2020 / www.radiofeature.wdr.de
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Podcast-PlayList vom Mittwoch, 06.05.2020

Die gesamte Tages-PlayList
Tagestipps
Sendung Titel
BR Kalenderblatt 06.05.1717 Marion du Faouët wird der weibliche "Robin Hood" der Bretagne (1)
BR Wissen Der Mensch ist zur Freiheit verurteilt - Die Philosophie des Existenzialismus (2)
SWR Zeitwort 6.5.1848: Preußen schafft die Prügelstrafe ab (3)
WDR Zeitzeichen Paul Abraham, Komponist (Todestag 6..5.1960) (4)
News
Zeit Titel wo min
05:32 O-Ton-Collage: SPD-Reaktionen auf den Rückzug von Johannes Kahrs (Müller, Sabine) DRK 0:35 ?
05:46 Ein Gegenkonzept zu Bitcoin und Libra - Chinas geplante Digitalw??hrung (Wurzel, Steffen) DLF 3:27 ?
07:20 Chicken Game: Ausweichen in der Pandemie (Schubert, Nicola) DRK 4:37 ?
07:42 Er wäre gern Wehrbeauftragter geworden - SPD-Politiker Johannes Kahrs tritt ab (Remme, Klaus) DLF 4:42 ?
07:50 TV-Kritik: Neue Netflix-Serie ??ber Michelle Obama (Brink, Nana) DRK 6:17 ?
08:40 Das Wichtigste heute Morgen (Heinlein, Stefan) DLF 5:30 ?
09:05 Transsexuelle Soldatin Anastasia Biefang (Wiese, Tim) DRK 32:51 ?
11:17 Neue Jazz-Alben: Das muss man gehört haben ... oder auch nicht (Tengeler, Jan) DRK 5:52 ?
11:49 Familienbande: Album 'Brother Sister' von Watkins Family Hour (Tanck, Fanny) DRK 6:14 ?
12:09 Merkel versus Söder: kühler Pragmantismus hier, gekonnte Selbstinzenierung da? (Khuon, Ulrich) DRK 5:47 ?
12:18 Neue Norm: Bund und Länder beschließen Obergrenze für Neuinfektionen (Khuon, Ulrich; Hamberger, Katharina) DRK 8:01 ?
12:30 Kulturellen Notstand in Frankreich? Macron stellt Hilfen für Kulturszene vor (Khuon, Ulrich; König, Jürgen) DRK 6:41 ?
13:25 Kollegengespräch: Corona-Krise: Macron und die Kultur (König, Jürgen) DLF 3:55 ?
14:20 Umstrittene Doku: 'Planet of the Humans' kritisiert Energiewende (Podcast) (Burg, Susanne) DRK 8:22 ?
15:09 'Nicht labern, machen!' Punkerinnen Östro 430 als Re-Issue (Franz, Christine) DRK 5:23 ?
15:20 Neue Filme: 'Label Me', 'Bester Mann', 'The Rhythm Section', 'Becoming' (Albrecht, Jörg) DLF 5:49 ?
15:27 Die seltsamste Geschichte des Rock'n'Roll: US-Musiker Bob Seger wird 75 (Köster, Bettina) DLF 3:00 ?
15:36 Gewalt und Hatespeech gegen Journalisten (Fishman, Robert) DLF 5:08 ?
15:39 Newcomer der Woche: Buscabulla (Hughes, Jessica) DRK 8:55 ?
15:42 Glosse: Existieren Viren? C-Promis mit Corona-Koller (Orzessek, Arno) DLF 4:12 ?
15:49 Racheaktion Dutertes? Regierung schaltet größten Sender der Philippinen ab (Bodewein, Lena) DLF 4:32 ?
15:55 'Fest und flauschig' durch die Krise - ein Podcast im Pandemiemodus (Borgers, Michael) DLF 4:44 ?
16:38 Rechtsextreme nehmen laut Studie Journalisten gezielt in den Fokus (Haarmann, Jörn) DRK 3:50 ?
17:14 Kulturpolitischer Strippenzieher: Zum Rücktritt von SPD-Politiker Johannes Kahrs (Bernau, Nikolaus) DLF 4:05 ?
18:30 Zweiter Weltkrieg - Seine Bedeutung heute in den USA und in Russland (Weltzeit) (Gesine Dornblüth, Jörg Morré, Margarete Wohlan) DRK 24:39 ?
18:37 Gewalt gegen Medienschaffende: Ermitteln und Verfolgen hilft (Jahn, Thilo) DLF 5:27
19:05 MP-Konferenz mit Merkel - Lockerungsentscheidungen künftig dezentral (Finthammer, Volker) DLF 3:27 ?
20:10 Von der Schwere des Glücks - Der Jahrhundertroman Hiob von Joseph Roth (Reinartz, Burkhard) DLF 19:52 ?
21:30 'Das bist doch du!' - Die vielen Doppelgänger der Ariana Baborie (Schottner, Dominik) DLF 8:34
23:33 Minus 7,4 Prozent: EU vor Rezession historischen Ausmaßes (Kapern, Peter) DLF 3:09
23:37 Zwischen Corona und Beitrittshoffnung: EU berät mit Westbalkanstaaten (Corall, Astrid) DLF 1:14
23:38 Israel: Gericht lehnt Petitionen gg. Netanjahu-Regierung ab (Assmann, Tim) DLF 1:00
Infos
(#) Info
(1) Um 1750 machte eine Bande Straßenräuber die Bretagne unsicher. Angeführt wurde sie von einer Frau: Marion du Faouët. Was die junge Bandenführerin antrieb, war ein radikaler Gerechtigkeitssinn.
(2) Der Existentialismus ist eine philosophische Richtung und Lebenshaltung: Der Mensch sei zur radikalen Freiheit verurteilt, müsse sein Wesen entwerfen und sich zu diesem Zweck einmischen in die Politik. (BR 2010)
(3) Körperliche Züchtigung war seit dem Mittelalter Bestandteil der "peinlichen Strafen". Im Zuge der Reformen von 1848 wurde zuerst in Preußen die Prügel durch Kerker ersetzt.
(4) Als der Banker Paul Abraham von risikofreudigen Investitionen und einer ausgeprägten Spielsucht zum ersten Mal in den Ruin getrieben wurde, da hatte er noch 'Ernste Musik' geschrieben. Mit Violinkonzert, Serenade und Streichquartett war Paul Abraham auf dem Weg zum 'klassischen' Komponisten. Doch nur fünf Jahre später gehörte er zu den gefragtesten Unterhaltungsmusikern Europas. Autor: Niklas Rudolph
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I TRIED LINO BLOCKCHAIN (dlive). IT'S A SCAM!

I TRIED LINO BLOCKCHAIN (dlive). IT'S A SCAM!
Two days ago, PewDiePie (Felix Kjellberg) famous internet personality, announced on his video that he is partnering up with Dlive. Dlive is a relatively new streaming platform which is built on the Lino Blockchain and it claims to be decentralised.

https://www.youtube.com/watch?v=bRG6sy3VaWU&ab_channel=PewDiePie

Users buy via paypal "lino" tokens. 1 lino = 0.012 $. Lino is the platform's currency and it's used to donate to the streamers of dlive. On every donation, 90% of those tokens go to the streamer's wallet and 10% goes to the "pool". From this "pool", viewers get rewarded by simply engaging with a streamer (watch his stream, write in the chat etc). For example, if you watch for about 20 mins you get 1 lino.

On the lino wallet app you have the option to "lock" your lino tokens (minimum 1000 linos) and get daily returns. This means that you cannot withdraw your locked linos from your account. I didn't find any information about the percentage of the returns but here is a screenshot of my wallet's transactions.

https://preview.redd.it/ciwa2iq67wr21.jpg?width=1920&format=pjpg&auto=webp&s=e8788b7e87a7ed16db663384ea71ec3fe57e51b7
UPDATE

Today i got 11,3 bonus linos and this means that this comment from wadaafaaak is true.

Dlive is obviously a scam, but his argument isn't the reason. The locking is for the staking. The rewards in POS (proof of stake) based currencies are calculated by the amount of coins you stake vs the total coins staking on the network. Adding 1000 coins to your staking amount also increases the total network weight, which means, if nobody else would add more coins to stake, you'd be getting more while they are getting less. But other users will also lock their additional earnings, which means the network weight will increase even more the amount you will earn won't really increase.

My initial thought about a stable return percentage was wrong and I sincerely apologise for that. I was in a hurry to expose this because tomorrow (14/4) PewDiePie is sceduled to stream for the first time on this platform. However, I think the following comment also from the same user (wadaafaaak) describes the situation in the best way and that's why i want to highlight it

Yes, like I said, the POS system is fine. The problem is the fixed price. The total supply is around 10billion. The fixed price of one token is 1,2 cents. For every token in circulation they need to have 1,2 cents, if they want their system to work (by working I mean, not scamming users and letting them sell for 0.012USD/Lino). For the tokens that are bought by users this is obviously the case ( if they dont spend that money somewhere else). But for their inflation of (max 6.5% stated in the WP) 650millions Lino per year, where does the USD/BTC equivalent come from? And that inflation is released directly on to the "market". Thats 6.5m USD yearly that they'd need to pay with their own funds, just to back their Lino coins with USD. Besides that they need to pay staff, servers etc. Where is all that money coming from? So new users will be paying out the old users, because thats the only income Dlive has. What happens when "USD Cashing out + 6.5m USD/year > USD Buying" ? They solve that temporarily by locking out the funds and not letting users sell for 0.012usd. To me that sounds like a ponzi. Because you depend on the new users coming in and buying Lino, for old users to actually getting their payment. Once the system starts collapsing they will "unfix" the price and allow people to trade whereever they want. That will cause the price to crash to its real value. Same shit bitconnect did once it started collapsing.

You can also watch ShortFatOtaku's video on this topic.

https://www.youtube.com/watch?v=uAx5JMKiRoM&t=3s&ab_channel=ShortFatOtaku

As you can see, I bought 2888 lino tokens (about 34 $) and I locked 2800 at 2:37 pm. After about 56 hours I got return ~42 lino. Because these returns doesn't seem stable, let's satisfy the fact that i get (42 / 56) * 24 = 18 linos every day, this means that the return percentage is x = 18 * 100 / 2800 = 0,64 %. After 56 days I will have gathered 1000 lino tokens in return and I will be able to lock them too. Then the return I will be getting is 3.800 * 0,64 % = 24,3 lino which means that I will have 1000 new linos to lock in 1000/24,3 = 41 days. Do you see where I'm getting to?

Lets say that you want to invest a larger amount (1000$). You will get 1000 / 0,012 = 83333 linos. If you lock 83333 linos you will get 83333 * 0.64% = 533 linos per day and after 2 days you will be able to lock 533 + 533 = 1066 more and so on and so on. This grows at an exponential rate meaning that in a few months your returns can grow into a decent salary and if this goes on for 2 or 3 years you will become a millionaire. If you think that this is not a red flag, let me tell you about the unlocking system.

If you want to unlock your funds and cash in, you will have to wait 12 weeks until the unlocking proccess is complete. Every week, only 1/12 of your funds get released. And this sets up the scam perfectly. At some point, the owners will say bye bye leaving everyone's useless tokens locked into their platform.

This has so many similarities with BitConnect; another scam that blew up in the bitcoin bull market in summer 2017 and ended up in tears in the early 2018. BitConnect used the same business model. You buy their token which is traded only on their platform (not a real crypto), you lock your funds and you get return. So many people actually believed that investing an insignificant amount (in comparsion to VCs) would set them financially independant in months but we all know that this couldn't be possible.

Please spread awarness.
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Bitcoin Madness: How to Simulate Bitcoin Prices in Google Sheets

Original Medium post can be found here: https://medium.com/@spreadstreet/bitcoin-madness-how-to-simulate-bitcoin-prices-in-google-sheets-c61cb42f26ed
You know the scenario...
Bitcoin had another huge increase, but you missed the opportunity. You wanted to get in, but your gut instinct told you no. And rightfully so...no one knows where the price is going to go. What if you invested, and it had another 20% loss? These sort of price movements are common in the volatile world of cryptocurrencies.
Seriously...how far can this Bitcoin price really go?

BITCOIN IS A VOLATILE BEAST

Risk analysis must be a part of every decision you make.
You are constantly faced with uncertainty, ambiguity, and variability. Variability, in the case of Bitcoin, unlike anything we have ever seen before. And even though we have unprecedented access to information, we can’t accurately predict the future.
Luckily, we have methods that enable you to see all the possible outcomes of your decisions, and assess the impact of risk.

WHERE TO START?

Running simulations can prepare us for the worst.
Monte Carlo simulation (also known as the Monte Carlo Method) allows for better decision making under uncertainty.
One of the most common ways to estimate risk is the use of a Monte Carlo simulation (MCS). From Investopedia:
For example, to calculate the value at risk (VaR) of a portfolio, we can run a Monte Carlo simulation that attempts to predict the worst likely loss for a portfolio given a confidence interval over a specified time horizon - we always need to specify two conditions for VaR: confidence and horizon. (For related reading, see The Uses And Limits Of Volatility and Introduction To Value At Risk (VAR) - Part 1 and Part 2.)
A MCS can be run with many different models. Our own process will be:
  1. Specify a model (for here, we will use geometric Brownian motion)
  2. Get historical daily bitcoin prices
  3. Calculate daily returns
  4. Name the daily return range
  5. Summary statistics
  6. Simulate a year
  7. Simulate a year many times
  8. Multi-year summary statistics
  9. Quick analysis of results

STEP 1. WTF IS GEOMETRIC BROWNIAN MOTION?

The geometric Brownian motion (GBM) is a statistical method that is used heavily in the forecasting of stock prices. The reason the process is so attractive for this is because of the following:
The GBM is technically a Markov process, which is a fancy way of saying "A random process whose future probabilities are determined by its most recent values." Said another way, past price information is already incorporated and the next price movement is "conditionally independent" of past price movements.
Math geeks have a habit of making things infinitely more complicated than they have to be. I will do my best to make this as simple as possible.
The formula for GBM is as follows:
gBm formula
Where:
This formula can be broken down into two very important terms: "drift" and "shock".
For each time period, our model assumes the price will "drift" up by the expected return. But the drift will be shocked (added or subtracted) by a random shock. The random shock will be the standard deviation "s" multiplied by a random number "e". This is simply a way of scaling the standard deviation.

STEP 1A. THE THUNDER GOD ELI5

The ELI5 version: The thunder god Zeus is a great god. A just god.
But Zeus is subject to wild mood swings.
Every day Zeus can shoot his magic lightning into the price of Bitcoin, and cause it to go up or down.
Some days he is in such a good mood, that he shocks the price up by a random amount. On other days, he is in such a poor mood that he shocks the price down for opposing him.
Zeus Striking Down the Price
And thus, we have the essence of GBM: a series of steps with an expected upward drift, where each step is hit with a plus/minus shock (which is a function of the stock's standard deviation).

STEP 2. HISTORICAL DAILY BITCOIN PRICES

Copy the raw data scores from coinmarketcap. Paste the data into your own spreadsheet.
For this exercise, your columns will be: Time, Open, Close, High, Low, Volume.
Columns Setup OHLCV
Want to automatically pull in Bitcoin prices? Use the Spreadstreet Google Sheets Add-in.

STEP 3. CALCULATE DAILY RETURNS

Calculate daily returns from the "Close" price. in H2 put the formula:
=LN(C2/B2) 
Drag it all the way down to the end of the prices to fill the entire Returns column
Calculate Daily Returns

STEP 4. NAME THE DAILY RETURNS RANGE

Create a named range from the returns column, called returns, to make our life easier. Highlight all the data in column H, i.e. cells H1:H1000, then click on the menu Data > Named ranges… and call the range returns:
Name the range returns

STEP 5. SUMMARY STATISTICS

Set up a small summary table with the close, daily volatility, annual volatility, daily drift, annual drift, and mean drift of our population. The formulas are:
In K1, enter:
=C2 
and name it close.
In K2, enter:
=STDEV(returns) 
and name it dailyVolatility
In K3, enter:
=dailyVolatility*SQRT(365) 
and name it annualVolatility
In K4, enter:
=AVERAGE(returns) 
and name it dailyDrift
In K5, enter:
=dailyDrift*365 
and name it annualDrift
In K6, enter:
=dailyDrift-0.5*dailyVolatility^2 
and name it meanDrift
Create Summary Statistics Table

STEP 6. SIMULATE A YEAR

Setup the yearly simulation table with Time, Normdist, Log Return, and Simulated Price

Time

In J12 put 0, and in J13 put:
=J12+1 
Drag it all the way down to your preferred forecast timeframe. Here I simulated a year (365 days), so I copied down to J377
Time

Normdist

Let’s set up the normal distribution curve values.
Google Sheets has a formula NORMDIST which calculates the value of the normal distribution function for a given value, mean and standard deviation. Since we ascribe to the random walk theory, we want to use a mean of 0, and a standard deviation of 1.
In K13, put the formula:
=NORMINV(RAND(),0,1) 
Drag it all the way down to K377 to fill the whole Normdist column:
Normdist

Log Return

To get the percentage of daily stock movement, we will calculate log return.
In L13, put the formula:
=meanDrift+dailyVolatility*K13 
Copy the formula all the way down to L377:
Log Return

Simulated Price

Now to the real meat. Let's calculate the simulated Bitcoin price.
In M12 put the Close price, and in M13, put:
=M12*EXP(L13) 
Copy the formula all the way down to M377:
Simulated Price

Forecasted Bitcoin price for one year

Let's see what the pricing data looks like.
Select from M12 to M377, then Insert - Chart and select line chart:
Simulated Price for One Year
We have now successfully completed one simulation. And depending on your results, they could look normal...or downright crazy.

STEP 7. SIMULATE A YEAR MANY TIMES

We completed one simulation, but we want to run many different trials.
Create a scenario tab, setup a table to simulate 1,000 different one-year trials. In A3 to A1003, put the numbers 1 through 1000.
In B3, put the formula:
=Close*EXP((annualDrift-0.5*annualVolatility^2)+annualVolatility*norminv(rand(),0,1)) 
Copy the formula down all the way. Name this range "scores":
Simulate Bitcoin Prices for Many Years

STEP 8. MULTI-YEAR SUMMARY STATISTICS

Set up a small summary table with the mean, median, standard deviation, min, max, and range of our new population. The formulas are:
=AVERAGE(scores) =STDEVP(scores) =MIN(scores) =MAX(scores) =E6-E5 
Multiyear Summary Statistics

STEP 9. QUICK ANALYSIS OF RESULTS

My results will look different than yours (due to the random nature of NORMDIST and the time you pulled the Bitcoin prices). But let's take a look at the results:
Mean $27,147 Median $16,097 St. Dev $37,243 Min $556 Max $479,586 Range $479,029 3sd $1,486 2sd $3,005 1sd $5,850 Cur $16,098 1sd $43,896 2sd $81,998 3sd $190,129 
How to read: We can be 95% certain that the price of Bitcoin will fall between $3,005, and $81,998 in one year.
Wait really? Should I buy? No, this is not telling you to buy. This should be one tool of many to help you in your buying and risk decisions.
Lognormal Distribution of Bitcoin Prices

CONCLUSION

You now know how to complete a geometric Brownian motion analysis of Bitcoin prices. Congratulations!
Good statistical analysis methods can be scary, but they don't have to be. Here we covered off on a great method for estimating future Bitcoin prices, which can also be applied to other cryptocurrencies.
With this new tool in place, you can be confident in your risk analysis methods by seeing all the possible outcomes of your decisions, and assess the impact of risk.
Deliberate. Analytical. Intelligent.

WANT YOUR OWN COPY?

Simulate Bitcoin Prices Download

RELATED POSTS

High-Flyers and Shitcoins: What I Learned from Analyzing CoinMarketCap Data in Google Sheets
7 Smart Ethereum Price Prediction Methods for HODL’ers

About the Author

John Young is the founder of Spreadstreet, former financial analyst for a big-ass company, and runner-up in the 6th grade spelling bee. He would have invested in Google if he knew about it...and had any money.
He is the author of the Spreadstreet blog, which has over 3 readers (not a typo). He hopes to hit 10, but honestly writing is a lot of work.
submitted by 1kexperimentdotcom to BitcoinMarkets [link] [comments]

Bitcoin Madness: How to Simulate Bitcoin Prices in Google Sheets

Original Medium post can be found here: https://medium.com/@spreadstreet/bitcoin-madness-how-to-simulate-bitcoin-prices-in-google-sheets-c61cb42f26ed
You know the scenario...
Bitcoin had another huge increase, but you missed the opportunity. You wanted to get in, but your gut instinct told you no. And rightfully so...no one knows where the price is going to go. What if you invested, and it had another 20% loss? These sort of price movements are common in the volatile world of cryptocurrencies.
Seriously...how far can this Bitcoin price really go?

BITCOIN IS A VOLATILE BEAST

Risk analysis must be a part of every decision you make.
You are constantly faced with uncertainty, ambiguity, and variability. Variability, in the case of Bitcoin, unlike anything we have ever seen before. And even though we have unprecedented access to information, we can’t accurately predict the future.
Luckily, we have methods that enable you to see all the possible outcomes of your decisions, and assess the impact of risk.

WHERE TO START?

Running simulations can prepare us for the worst.
Monte Carlo simulation (also known as the Monte Carlo Method) allows for better decision making under uncertainty.
One of the most common ways to estimate risk is the use of a Monte Carlo simulation (MCS). From Investopedia:
For example, to calculate the value at risk (VaR) of a portfolio, we can run a Monte Carlo simulation that attempts to predict the worst likely loss for a portfolio given a confidence interval over a specified time horizon - we always need to specify two conditions for VaR: confidence and horizon. (For related reading, see The Uses And Limits Of Volatility and Introduction To Value At Risk (VAR) - Part 1 and Part 2.)
A MCS can be run with many different models. Our own process will be:
  1. Specify a model (for here, we will use geometric Brownian motion)
  2. Get historical daily bitcoin prices
  3. Calculate daily returns
  4. Name the daily return range
  5. Summary statistics
  6. Simulate a year
  7. Simulate a year many times
  8. Multi-year summary statistics
  9. Quick analysis of results

STEP 1. WTF IS GEOMETRIC BROWNIAN MOTION?

The geometric Brownian motion (GBM) is a statistical method that is used heavily in the forecasting of stock prices. The reason the process is so attractive for this is because of the following:
The GBM is technically a Markov process, which is a fancy way of saying "A random process whose future probabilities are determined by its most recent values." Said another way, past price information is already incorporated and the next price movement is "conditionally independent" of past price movements.
Math geeks have a habit of making things infinitely more complicated than they have to be. I will do my best to make this as simple as possible.
The formula for GBM is as follows:
gBm formula
Where:
This formula can be broken down into two very important terms: "drift" and "shock".
For each time period, our model assumes the price will "drift" up by the expected return. But the drift will be shocked (added or subtracted) by a random shock. The random shock will be the standard deviation "s" multiplied by a random number "e". This is simply a way of scaling the standard deviation.

STEP 1A. THE THUNDER GOD ELI5

The ELI5 version: The thunder god Zeus is a great god. A just god.
But Zeus is subject to wild mood swings.
Every day Zeus can shoot his magic lightning into the price of Bitcoin, and cause it to go up or down.
Some days he is in such a good mood, that he shocks the price up by a random amount. On other days, he is in such a poor mood that he shocks the price down for opposing him.
Zeus Striking Down the Price
And thus, we have the essence of GBM: a series of steps with an expected upward drift, where each step is hit with a plus/minus shock (which is a function of the stock's standard deviation).

STEP 2. HISTORICAL DAILY BITCOIN PRICES

Copy the raw data scores from coinmarketcap. Paste the data into your own spreadsheet.
For this exercise, your columns will be: Time, Open, Close, High, Low, Volume.
Columns Setup OHLCV
Want to automatically pull in Bitcoin prices? Use the Spreadstreet Google Sheets Add-in.

STEP 3. CALCULATE DAILY RETURNS

Calculate daily returns from the "Close" price. in H2 put the formula:
=LN(C2/B2) 
Drag it all the way down to the end of the prices to fill the entire Returns column
Calculate Daily Returns

STEP 4. NAME THE DAILY RETURNS RANGE

Create a named range from the returns column, called returns, to make our life easier. Highlight all the data in column H, i.e. cells H1:H1000, then click on the menu Data > Named ranges… and call the range returns:
Name the range returns

STEP 5. SUMMARY STATISTICS

Set up a small summary table with the close, daily volatility, annual volatility, daily drift, annual drift, and mean drift of our population. The formulas are:
In K1, enter:
=C2 
and name it close.
In K2, enter:
=STDEV(returns) 
and name it dailyVolatility
In K3, enter:
=dailyVolatility*SQRT(365) 
and name it annualVolatility
In K4, enter:
=AVERAGE(returns) 
and name it dailyDrift
In K5, enter:
=dailyDrift*365 
and name it annualDrift
In K6, enter:
=dailyDrift-0.5*dailyVolatility^2 
and name it meanDrift
Create Summary Statistics Table

STEP 6. SIMULATE A YEAR

Setup the yearly simulation table with Time, Normdist, Log Return, and Simulated Price

Time

In J12 put 0, and in J13 put:
=J12+1 
Drag it all the way down to your preferred forecast timeframe. Here I simulated a year (365 days), so I copied down to J377
Time

Normdist

Let’s set up the normal distribution curve values.
Google Sheets has a formula NORMDIST which calculates the value of the normal distribution function for a given value, mean and standard deviation. Since we ascribe to the random walk theory, we want to use a mean of 0, and a standard deviation of 1.
In K13, put the formula:
=NORMINV(RAND(),0,1) 
Drag it all the way down to K377 to fill the whole Normdist column:
Normdist

Log Return

To get the percentage of daily stock movement, we will calculate log return.
In L13, put the formula:
=meanDrift+dailyVolatility*K13 
Copy the formula all the way down to L377:
Log Return

Simulated Price

Now to the real meat. Let's calculate the simulated Bitcoin price.
In M12 put the Close price, and in M13, put:
=M12*EXP(L13) 
Copy the formula all the way down to M377:
Simulated Price

Forecasted Bitcoin price for one year

Let's see what the pricing data looks like.
Select from M12 to M377, then Insert - Chart and select line chart:
Simulated Price for One Year
We have now successfully completed one simulation. And depending on your results, they could look normal...or downright crazy.

STEP 7. SIMULATE A YEAR MANY TIMES

We completed one simulation, but we want to run many different trials.
Create a scenario tab, setup a table to simulate 1,000 different one-year trials. In A3 to A1003, put the numbers 1 through 1000.
In B3, put the formula:
=Close*EXP((annualDrift-0.5*annualVolatility^2)+annualVolatility*norminv(rand(),0,1)) 
Copy the formula down all the way. Name this range "scores":
Simulate Bitcoin Prices for Many Years

STEP 8. MULTI-YEAR SUMMARY STATISTICS

Set up a small summary table with the mean, median, standard deviation, min, max, and range of our new population. The formulas are:
=AVERAGE(scores) =STDEVP(scores) =MIN(scores) =MAX(scores) =E6-E5 
Multiyear Summary Statistics

STEP 9. QUICK ANALYSIS OF RESULTS

My results will look different than yours (due to the random nature of NORMDIST and the time you pulled the Bitcoin prices). But let's take a look at the results:
Mean $27,147 Median $16,097 St. Dev $37,243 Min $556 Max $479,586 Range $479,029 3sd $1,486 2sd $3,005 1sd $5,850 Cur $16,098 1sd $43,896 2sd $81,998 3sd $190,129 
How to read: We can be 95% certain that the price of Bitcoin will fall between $3,005, and $81,998 in one year.
Wait really? Should I buy? No, this is not telling you to buy. This should be one tool of many to help you in your buying and risk decisions.
Lognormal Distribution of Bitcoin Prices

CONCLUSION

You now know how to complete a geometric Brownian motion analysis of Bitcoin prices. Congratulations!
Good statistical analysis methods can be scary, but they don't have to be. Here we covered off on a great method for estimating future Bitcoin prices, which can also be applied to other cryptocurrencies.
With this new tool in place, you can be confident in your risk analysis methods by seeing all the possible outcomes of your decisions, and assess the impact of risk.
Deliberate. Analytical. Intelligent.

WANT YOUR OWN COPY?

Simulate Bitcoin Prices Download

RELATED POSTS

High-Flyers and Shitcoins: What I Learned from Analyzing CoinMarketCap Data in Google Sheets
7 Smart Ethereum Price Prediction Methods for HODL’ers

About the Author

John Young is the founder of Spreadstreet, former financial analyst for a big-ass company, and runner-up in the 6th grade spelling bee. He would have invested in Google if he knew about it...and had any money.
He is the author of the Spreadstreet blog, which has over 3 readers (not a typo). He hopes to hit 10, but honestly writing is a lot of work.
submitted by 1kexperimentdotcom to CryptoMarkets [link] [comments]

Bitcoin Madness: How to Simulate Bitcoin Prices in Google Sheets

Original Medium post can be found here: https://medium.com/@spreadstreet/bitcoin-madness-how-to-simulate-bitcoin-prices-in-google-sheets-c61cb42f26ed
You know the scenario...
Bitcoin had another huge increase, but you missed the opportunity. You wanted to get in, but your gut instinct told you no. And rightfully so...no one knows where the price is going to go. What if you invested, and it had another 20% loss? These sort of price movements are common in the volatile world of cryptocurrencies.
Seriously...how far can this Bitcoin price really go?

BITCOIN IS A VOLATILE BEAST

Risk analysis must be a part of every decision you make.
You are constantly faced with uncertainty, ambiguity, and variability. Variability, in the case of Bitcoin, unlike anything we have ever seen before. And even though we have unprecedented access to information, we can’t accurately predict the future.
Luckily, we have methods that enable you to see all the possible outcomes of your decisions, and assess the impact of risk.

WHERE TO START?

Running simulations can prepare us for the worst.
Monte Carlo simulation (also known as the Monte Carlo Method) allows for better decision making under uncertainty.
One of the most common ways to estimate risk is the use of a Monte Carlo simulation (MCS). From Investopedia:
For example, to calculate the value at risk (VaR) of a portfolio, we can run a Monte Carlo simulation that attempts to predict the worst likely loss for a portfolio given a confidence interval over a specified time horizon - we always need to specify two conditions for VaR: confidence and horizon. (For related reading, see The Uses And Limits Of Volatility and Introduction To Value At Risk (VAR) - Part 1 and Part 2.)
A MCS can be run with many different models. Our own process will be:
  1. Specify a model (for here, we will use geometric Brownian motion)
  2. Get historical daily bitcoin prices
  3. Calculate daily returns
  4. Name the daily return range
  5. Summary statistics
  6. Simulate a year
  7. Simulate a year many times
  8. Multi-year summary statistics
  9. Quick analysis of results

STEP 1. WTF IS GEOMETRIC BROWNIAN MOTION?

The geometric Brownian motion (GBM) is a statistical method that is used heavily in the forecasting of stock prices. The reason the process is so attractive for this is because of the following:
The GBM is technically a Markov process, which is a fancy way of saying "A random process whose future probabilities are determined by its most recent values." Said another way, past price information is already incorporated and the next price movement is "conditionally independent" of past price movements.
Math geeks have a habit of making things infinitely more complicated than they have to be. I will do my best to make this as simple as possible.
The formula for GBM is as follows:
gBm formula
Where:
This formula can be broken down into two very important terms: "drift" and "shock".
For each time period, our model assumes the price will "drift" up by the expected return. But the drift will be shocked (added or subtracted) by a random shock. The random shock will be the standard deviation "s" multiplied by a random number "e". This is simply a way of scaling the standard deviation.

STEP 1A. THE THUNDER GOD ELI5

The ELI5 version: The thunder god Zeus is a great god. A just god.
But Zeus is subject to wild mood swings.
Every day Zeus can shoot his magic lightning into the price of Bitcoin, and cause it to go up or down.
Some days he is in such a good mood, that he shocks the price up by a random amount. On other days, he is in such a poor mood that he shocks the price down for opposing him.
Zeus Striking Down the Price
And thus, we have the essence of GBM: a series of steps with an expected upward drift, where each step is hit with a plus/minus shock (which is a function of the stock's standard deviation).

STEP 2. HISTORICAL DAILY BITCOIN PRICES

Copy the raw data scores from coinmarketcap. Paste the data into your own spreadsheet.
For this exercise, your columns will be: Time, Open, Close, High, Low, Volume.
Columns Setup OHLCV
Want to automatically pull in Bitcoin prices? Use the Spreadstreet Google Sheets Add-in.

STEP 3. CALCULATE DAILY RETURNS

Calculate daily returns from the "Close" price. in H2 put the formula:
=LN(C2/B2) 
Drag it all the way down to the end of the prices to fill the entire Returns column
Calculate Daily Returns

STEP 4. NAME THE DAILY RETURNS RANGE

Create a named range from the returns column, called returns, to make our life easier. Highlight all the data in column H, i.e. cells H1:H1000, then click on the menu Data > Named ranges… and call the range returns:
Name the range returns

STEP 5. SUMMARY STATISTICS

Set up a small summary table with the close, daily volatility, annual volatility, daily drift, annual drift, and mean drift of our population. The formulas are:
In K1, enter:
=C2 
and name it close.
In K2, enter:
=STDEV(returns) 
and name it dailyVolatility
In K3, enter:
=dailyVolatility*SQRT(365) 
and name it annualVolatility
In K4, enter:
=AVERAGE(returns) 
and name it dailyDrift
In K5, enter:
=dailyDrift*365 
and name it annualDrift
In K6, enter:
=dailyDrift-0.5*dailyVolatility^2 
and name it meanDrift
Create Summary Statistics Table

STEP 6. SIMULATE A YEAR

Setup the yearly simulation table with Time, Normdist, Log Return, and Simulated Price

Time

In J12 put 0, and in J13 put:
=J12+1 
Drag it all the way down to your preferred forecast timeframe. Here I simulated a year (365 days), so I copied down to J377
Time

Normdist

Let’s set up the normal distribution curve values.
Google Sheets has a formula NORMDIST which calculates the value of the normal distribution function for a given value, mean and standard deviation. Since we ascribe to the random walk theory, we want to use a mean of 0, and a standard deviation of 1.
In K13, put the formula:
=NORMINV(RAND(),0,1) 
Drag it all the way down to K377 to fill the whole Normdist column:
Normdist

Log Return

To get the percentage of daily stock movement, we will calculate log return.
In L13, put the formula:
=meanDrift+dailyVolatility*K13 
Copy the formula all the way down to L377:
Log Return

Simulated Price

Now to the real meat. Let's calculate the simulated Bitcoin price.
In M12 put the Close price, and in M13, put:
=M12*EXP(L13) 
Copy the formula all the way down to M377:
Simulated Price

Forecasted Bitcoin price for one year

Let's see what the pricing data looks like.
Select from M12 to M377, then Insert - Chart and select line chart:
Simulated Price for One Year
We have now successfully completed one simulation. And depending on your results, they could look normal...or downright crazy.

STEP 7. SIMULATE A YEAR MANY TIMES

We completed one simulation, but we want to run many different trials.
Create a scenario tab, setup a table to simulate 1,000 different one-year trials. In A3 to A1003, put the numbers 1 through 1000.
In B3, put the formula:
=Close*EXP((annualDrift-0.5*annualVolatility^2)+annualVolatility*norminv(rand(),0,1)) 
Copy the formula down all the way. Name this range "scores":
Simulate Bitcoin Prices for Many Years

STEP 8. MULTI-YEAR SUMMARY STATISTICS

Set up a small summary table with the mean, median, standard deviation, min, max, and range of our new population. The formulas are:
=AVERAGE(scores) =STDEVP(scores) =MIN(scores) =MAX(scores) =E6-E5 
Multiyear Summary Statistics

STEP 9. QUICK ANALYSIS OF RESULTS

My results will look different than yours (due to the random nature of NORMDIST and the time you pulled the Bitcoin prices). But let's take a look at the results:
Mean $27,147 Median $16,097 St. Dev $37,243 Min $556 Max $479,586 Range $479,029 3sd $1,486 2sd $3,005 1sd $5,850 Cur $16,098 1sd $43,896 2sd $81,998 3sd $190,129 
How to read: We can be 95% certain that the price of Bitcoin will fall between $3,005, and $81,998 in one year.
Wait really? Should I buy? No, this is not telling you to buy. This should be one tool of many to help you in your buying and risk decisions.
Lognormal Distribution of Bitcoin Prices

CONCLUSION

You now know how to complete a geometric Brownian motion analysis of Bitcoin prices. Congratulations!
Good statistical analysis methods can be scary, but they don't have to be. Here we covered off on a great method for estimating future Bitcoin prices, which can also be applied to other cryptocurrencies.
With this new tool in place, you can be confident in your risk analysis methods by seeing all the possible outcomes of your decisions, and assess the impact of risk.
Deliberate. Analytical. Intelligent.

WANT YOUR OWN COPY?

Simulate Bitcoin Prices Download

RELATED POSTS

High-Flyers and Shitcoins: What I Learned from Analyzing CoinMarketCap Data in Google Sheets
7 Smart Ethereum Price Prediction Methods for HODL’ers

About the Author

John Young is the founder of Spreadstreet, former financial analyst for a big-ass company, and runner-up in the 6th grade spelling bee. He would have invested in Google if he knew about it...and had any money.
He is the author of the Spreadstreet blog, which has over 3 readers (not a typo). He hopes to hit 10, but honestly writing is a lot of work.
submitted by 1kexperimentdotcom to Bitcoin [link] [comments]

Ads for 2017-03-03 (1 / 2)

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space Materials Finish Line Looms for Google Lunar XPrize Finalists Google
space Finish Line Looms for Google Lunar XPrize Finalists Google
explainlikeimfive ELI5: Why are we unable to do a dna test on foods like KFC & McDonalds to find out what's really in them? KFC
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listentothis ecco -- Beneath The Open Sky post rock / instrumental 2014 Sky
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gaming Switch Launch Calgary AB Walmart Sage Hill Walmart
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Futurology South Africa's giant Aeroswift 3D printer could be used by Airbus & Boeing for titanium aircraft parts Boeing
Futurology South Africa's giant Aeroswift 3D printer could be used by Airbus & Boeing for titanium aircraft parts Airbus
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news Priority health code violations at Publix go unreported Publix
news Murdoch's Fox seeks EU okay for $14.4 billion Sky takeover bid Sky
gaming Microsoft kicks the doors open to self-publishing on Xbox One Xbox
pics Only in Florida. Blue hair mistakes break for gas pedal, drives on top of Corvette in Walmart parking lot Walmart
pics The Bluest Sky I've Seen Sky
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movies Classic Takedowns of Classic Films: Film critics Otis Ferguson and Stanley Kauffmann were noted for their innovative approaches to the form—and their contrarian opinions. Otis
pics Fall day in the Great Northwoods of Wisconsin with my '57 Jeep Willy Jeep
worldnews The BP oil spill led scientists to discover 60 new animal species living in the Gulf of Mexico BP
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food Homemade Apple Pie Tacos OC Apple
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pics Often forgotten gem of the United States, the US Virgin Islands. United
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gaming Seriously GG Walmart Worker. Some lady was trying to buy them all up to sell online for some quick cash. Walmart
nottheonion Local 5-year-old McDonald's cheeseburger doesn't look a day over 1 McDonald's
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gaming Oh, so that's why No Man's Sky failed Sky
news Battered Toshiba to exit plans to build nuclear plants in India, UK Toshiba
OldSchoolCool Alexander Graham Bell circa 1914. Happy birthday AGB! Bell
space Neil DeGrasse Tyson - Welcome to the Universe: An Astrophysical Tour Tyson
Jokes Bilbo was surprised to wake one morning, and find that a Tesco had been built right next to his house Tesco
videos Neil deGrasse Tyson on How Monster's Inc Got the 4th Dimension Right Tyson
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explainlikeimfive ELI5: how can companies selling t-shirts on Facebook with poorly Photoshopped shots of celebrities "wearing" them get away with it? Isn't this false endorsement? Facebook
gifs Rogers Center and Gardiner seen from CN Tower, Toronto Canada CN
gaming No Man's Sky creator describes issues with launch, crashes, money Sky
Jokes I left my adderall in my Ford fiesta Ford
Documentaries Sir John Betjeman - A Passion for Churches 1974 " BBC television documentary written and presented by the then Poet Laureate Sir John Betjeman" BBC
food homemade Apple Rose Pie Apple
videos A beautiful message to Mexico from Taleb D. Rifai, Secretary-General of the United Nations' World Tourism Organization United
movies Lost "Bullitt" Ford Mustang allegedly found in Mexico Ford
funny I guess I should update my Apple IPhone Android phone then Apple
videos I made in Lego the Vader vs Kenobi, the escape from the Death Star and the TIE Fighter attack scenes. Lego
mildlyinteresting My fire sauce from Taco Bell didn't have a message in it Bell
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todayilearned TIL the aircraft carrier Gerald Ford can operate for 20 years before refuelling Ford
todayilearned TIL that during Cold War, the United States Army and Air Force wanted to construct a military outpost on the Moon with the possibility of conducting lunar-based nuclear tests. However, these proposals were dropped as the space program got transferred from military to the civilian agency NASA United
explainlikeimfive ELI5: Isn't the United States living standard grossly inflated, and the national debt is proof of this? United
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Showerthoughts Today Nissan tested self drive cars in London, so soon we can all get back to playing Pokémon go whilst driving. Nissan
nottheonion Milwaukee Man Receives Cease and Desist Letter from Senator Johnson's office Johnson's
UpliftingNews In 2005, Coca-Cola set out to return all of the water used in its products back to nature and communities by the year 2020. It met this goal five years early in 2015. Coca-Cola
worldnews 'First chemical attack' in Mosul battle injures twelve - BBC News BBC
videos Hey guys, here's a YouTube repost of the refurbished Google Pixel packaging video. Sorry for originally using streamable, didn't think it'd blow up this big and that the player would be that bad for some people. And no, Google hasn't publicly addressed these reports/contacted me yet, surprisingly. Google
sports Reason #147 why ESPN sucks ESPN
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gaming No Man's Sky creator describes issues with launch, crashes, money Sky
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movies Hey everyone, if we can get at least 0.058% of this subreddit to support the LEGO Geonosis Arena Set on Lego Ideas, it will be reviewed by LEGO and might be turned into a set! Lego
WritingPrompts IP Sky Galleons of Mars Sky
todayilearned TIL Airbus brand not only makes commercial airplanes but also started in the military market in the 1990s Airbus
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food homemade Apple turnovers Apple
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BITCOIN STEIGT AUF $50000 USD BIS 2022 Bitcoin stürzt wieder ab! Was tun? Bitcoin 2 Stunden ohne Blöcke  Bitcoin Kurs 90.000 USD?  Bärenmarkt oder Altcoin Season? LETZTER BITCOIN DIP VOR DER ECHTEN RALLYE / PARABOLISCHE ALTCOIN RALLYE STARTET Was taugt der neue Antminer S15 Bitcoin Miner?!

Die auf bitcoin.de zum Handel angebotenen Kryptowährungen sind nicht für alle Investoren geeignet. Stellen Sie daher unbedingt sicher, dass Sie die mit dem Handel von Kryptowährungen verbundenen Risiken vollständig verstanden haben und lassen Sie sich gegebenenfalls von einer unabhängigen und sachkundigen Person oder Institution beraten, bevor Sie den Handel aufnehmen. Ihre etwaigen ... Kurz vor dem «Halving»: Bitcoin-Kurs stürzt ab Viele Investoren trennten sich am Wochenende von ihren Bitcoin-Beständen. Am Montag hat sich der Kurs bei rund 8700 eingependelt. 11.09.2020 - Der Bitcoin-Preis befindet sich in akuter Gefahr, erneut ausverkauft zu werden. Ab wann ist die Gefahr eminent, wann wäre sie abgewendet und was sind die Ziele im einen oder anderen ... Der Bitcoin nimmt nach der Korrektur auf unter 9. 23.07.2020 Im vergangenen Jahr hatte der Bitcoin-Kurs zeitweise 2000 Prozent zugelegt und kurz vor Weihnachten mit etwa 20.000 Dollar ein Rekordhoch markiert. Aufspaltung von Bitcoin Cash

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BITCOIN STEIGT AUF $50000 USD BIS 2022

Im heutigen Video sprechen wir über die Aussagen von Willy Woo, der davon ausgeht das der Bitcoin $50000 USD bis 2022 erreichen wird. Außerdem sehen wir uns an wie viele BTC verloren sind und ... 👇 Die wichtigsten Kryptoseiten in der Beschreibung 👇 Heute wollen wir uns gemeinsam den neuen Antminer S15 anschauen. Kostenlos Abonnent werden: http://www.y... Bitcoin Kurs stürzt ab, was jetzt? Wie investiert man "richtig"? Wir sprechen heute nochmals über die Bitcoin Achterbahnfahrt und wie man sich als Investor vielleicht am besten verhalten sollte. Außerdem gucken wir uns an, warum der Bitcoin ab $6200 in den nächsten Bullrun übergeht. Viel Spaß! Viel Spaß! Bedenkt immer: Du verdienst nirgendwo von jetzt auf gleich einen Haufen Geld und ... Somit erreichte der Bitcoin 8.100 $ und prallte dort stark ab, wodurch der Kurs aktuell wieder am 0,382 Fib Niveau bei 8.781 $ befindet. Wenn der Bitcoin Kurs am heutigen Tage über dem 0,382 Fib ...

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