* Twitter: https://twitter*.com/intocryptoverseTelegram: https://t.me/intocryptoverseDiscord: https://discord.gg/Ac6TRZ7Facebook: https://www.facebook.com/group.. In fact, we are still fairly far ahead with regards to our fair value logarithmic regression support band, fit to non-bubble data. This market cycle will likely be a long one, so buckle up for the journey, and maybe one day BTC will flirt with the upper peak logarithmic regression band. No one can reliably predict what the short-term will bring, but I am certainly bullish on BTC on the macro-scale Ethereum's Logarithmic Regression Rainbow: ETH is back between band 4 ($1,678) and band 5 ($2,883) after backtesting band 4 last week for the first time since March 2021. How To Read This Chart: Using ETH's historical price action, we can plot logarithmic regression trendlines that coincide with historical levels of support and resistance Ethereum's Logarithmic Regression Rainbow: ETH is back between band 4 ($1,678) and band 5 ($2,883) after backtesting band 4 last week for the first time since March 2021. Bitcoin's +1 Yr

* After using the the logarithmic regression rainbow for Bitcoin for so long, I decided to make one for Ethereum*. We do not really have that much data, but hopefully it can prove somewhat useful. Here is a video on it! Let me know if you have any questions! https://www.youtube.com/watch?v=oRHUbK3tUdc&feature=youtu.be&ab_channel=BenjaminCowe I have fit the weekly logarithmic regression and used 20/50/100/200 MA indicator for ETH. For a bullish trend, I expect to see a double cross on the MAs, with the 50 and 100 both crossing the 200, followed by steady separation of ordered MAs (green yellow orange red) from top to bottom. 23 As seen by logarithmic regression, as estimated by our channel data, was overvalued by 4096% in 2018; ETH Dominance in 2021. ETH Dominance (ETH/Total Crypto Cap) held at 7% ; ETH/BTC held at 0.016; At the start of the novel, John Percival says: Yes, I'm an expert on 20th-century religious obscurantism. If it wasn't for the 1200s, someone would be happy to go home in bed and kiss the Lady-on.

This script is a combination of different logarithmic regression fits on weekly BTC data. It is meant to be used only on the weekly timeframe and on the BLX chart for bitcoin. The fair value line is still subjective, as it is only a regression and does not take into account other metrics ** The Rainbow Chart is meant to be be a fun way of looking at long term price movements, disregarding the daily volatility noise**. The color bands follow a logarithmic regression (introduced by Bitcointalk User trolololo in 2014), but are otherwise completely arbitrary and without any scientific basis. In other words: It will only be correct until one day it isn't anymore. Btwhere is th

- When plotting logarithmic regression lines against ETH's historical price action, one can identify various different macro support and resistance levels that can be of use in both bull and bear market cycles. ETH currently resides between Band 4 ($1,462) and Band 5 ($2,695). This tells us that ETH's next big test of resistance resides around $2,700 and the bulls will need to keep ETH above $1,462 to prevent price from trending lower in the short-/medium-term
- Bitcoin has not made it there yet, but it is approaching the peak logarithmic regression band. Of course there is no guarantee that this regression band will... Of course there is no guarantee.
- Ethereum Logarithmic Regression. I have fit the weekly logarithmic regression and used 20/50/100/200 MA indicator for ETH. For a bullish trend, I expect to see a double cross on the MAs, with the 50 and 100 both crossing the 200, followed by steady separation of ordered MAs (green yellow orange red) from top to bottom
- 0:00 / 7:51. Live. •. Time for an update on Ethereum using our logarithmic regression rainbow. To better understand the usefulness of logarithmic regression, we show how we have used it with Bitcoin in the past. Can Ethereum navigate to the top of the current regression band? Let me know where you think the price of Ethereum is headed in the.

- At a current price of $3,392, ETH currently resides between Band 5 ($2,857) and Band 6 ($5,327). Based on these regression lines, ETH's next big test of resistance is currently at $5,327 while support resides around $2,857. ETH would have to rally +57% to test resistance at $5,327 and would have to correct -16% to test support at $2,857
- Bitcoin has not made it there but, however it's approaching the height logarithmic regression band. In fact there isn't any assure that this regression band will assist us time the precise high, however slightly a mathematical train exhibiting the place peaks had been previously
- At least in the short-term, the price of Bitcoin was rejected from the peak logarithmic regression band. The band now ranges from approximately $58k - $86k, but Previous. MAKE $700 BY MINING BITCOINS ON YOUR PC AND SMARTPHONE IN 2020!! (PROOF!) Next. What is Bitcoin Mining? (In Plain English) Be the first to comment Leave a Reply Cancel reply. Your email address will not be published.
- The price of Ethereum has moved up one of the logarithmic regression lines since the last dedicated video on Ethereum price analysis using logarithmic regression. However, because the fair value of Ethereum increases monotonically over time, we are actually a full logarithmic regression line lower than we were in 2019 at the local peak, despite the fact that the price of ETH is higher now than it was back then. We discuss the projected price of ETH if we move up another 1-2.
- Logarithmic regression (or known as Tseng's tunnels), is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75%..

- Click here to view original content. This week's updates include: Ethereum's Logarithmic Regression Rainbow: ETH is back between band 4 ($1,678) and band 5 ($2,883) after backtesting band 4 last week for the first time since March 2021. Bitcoin's +1 Yr. HODL Wave: This week's reading of 54.4% is only slightly lower than last Monday's reading of 54.65%; this suggests that despite BTC's latest.
- This plots logarithmic curves fitted to major Bitcoin bear market tops & bottoms. Top line is fitted to bull tops, bottom line is fitted to lower areas of the logarithmic price trend (which is not always the same as bear market bottoms). Middle line is the median of the top & bottom, and the faded solid lines are fibonacci levels in between
- With our macro level Logarithmic regression analysis the reports will help distinguish between accumulation phases and mania-fueled speculative bubbles Risk Analysis By using dynamic, data-driven approach you will be able to develop a strategy that suits your own risk toleranc
- Implied
**logarithmic****regression****band**tops depending on year by hope schick. Another**regression**model on**logarithmic**graph attempted by renato shirkashi seems to be holding since the beginning as well the model suggests that the bottom for bitcoin btc might actually be in, as it seems unlikely the price would go below the orange line. I could definitely see btc reaching $1k around april 2015 and.

Crypto Market Cap, BTC/USD, ETH/USD (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as predicted by the... 2386. 22. Bitcoin Logarithmic Growth Curves. quantadelic. This plots logarithmic curves fitted to major Bitcoin bear market tops. BIC: Logarithmic regression bands and trend lines, risk metrics, and so on. Could you tell us why you use these mathematical tools most frequently? BC: Logarithmic regression is useful for characterizing price movements where the more rapid price appreciation happens earlier on, while it settles down over time. The logarithmic regression fits are clear evidence of diminishing returns. If we. The report said the asset currently resides between two major bands - $1,462 and $2,695 and highlighted the latter as the next big test of resistance. ADVERTISEMENT. Furthermore, the research estimated ETH's potential peak during this market cycle based on logarithmic regression curves. If the second-largest cryptocurrency is to match its previous run, its price could surge by about. Doğrusal regresyon kanalı, aynı mesafedeki yukarıdan ve aşağıdan 2 paralel çizgiye sahip bir orta çizgiden oluşur. Bu çizgiler destek ve direnç seviyeleri olarak görülebilir. Orta çizgi, kapanış fiyatlarının doğrusal regresyonu temel alınarak hesaplanır, veri kaynağı açılış, yüksek veya düşük olarakta ayarlanabilir

- If ETH decides to continue with the positive MA until it touches the upper band, we would be buying ETH around the 10,000 USD range. If it rejects the mean, the buys would stop at 2000 USD. I apologize for the lack os seriousness in the previous published charts. I hope that this gives a new outlook on long term trends
- The logarithmic regression bands suggests that Bitcoin is overbought between 83K and 160K. Corresponding to a ~50% increase to reach the overbought band, and ~190% increase to reach the top of the overbought band
- regression for one continuous predictor X (a child's reading score on a standardized test) and one dichotomous outcome variable Y (the child being recommended for remedial read- ing classes), the plot of such data results in two parallel lines, each corresponding to a value of the dichotomous outcome (Figure 1). Because the two parallel lines are difficult to be described with an ordinary.
- log(0) gives -Inf, and log(x) for negative values of x is NaN. exp(-Inf) is 0. For complex inputs to the log functions, the value is a complex number with imaginary part in the range [-pi, pi]: which end of the range is used might be platform-specific. S4 methods. exp, expm1, log, log10, log2 and log1p are S4 generic and are members of the Math group generic. Note that this means that the S4.
- Logistic regression analysis can also be carried out in SPSS® using the NOMREG procedure. We suggest a forward stepwise selection procedure. When we ran that analysis on a sample of data collected by JTH (2009) the LR stepwise selected five variables: (1) inferior nasal aperture, (2) interorbital breadth, (3) nasal aperture width, (4) nasal bone structure, and (5) post-bregmatic depression
- القيمة السوقية للعملة الرقمية, BTC/USD, ETH/USD, USDT/USD, Introducing the Moving Regression Prediction Bands indicator. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with.
- Eine Bank interessiert sich für Fakten, die mit der Wahrscheinlichkeit, dass jemand Aktien erwirbt, zusammenhängen. Sie beauftragt daher ein Marktforschungsinstitut, 700 Personen zu befragen. Es wird angenommen, dass der Entscheid für einen Aktienkauf vom Jahreseinkommen (in Tausend CHF), der Risikobereitschaft (Skala von 0 bis 25) sowie vom Interesse an der aktuellen Marktlage (Skala von 0.

Following the introduction of the Moving Regression Prediction Bands indicator (see link below), I'd like to propose how to utilize it in a simple band breakout strategy : Go long after the candle closes above the upper band . The lower band (alternatively, the lower band minus the 14-period ATR or the central line ) will serve as a support line .. Furthermore, one can identify various levels where ETH could top out this market cycle. For instance, a move up to the logarithmic regression line that coincides with ETH's previous market cycle. ** He performed the linear regression with bitcoin's price peaks in 2011, 2013, and 2017**. The market tops also seem to follow a power-law, Burger said. If the next market top also follows this power-law, the market top will lie on this line. The slope of this power-law is 5.02927337, whereas the fit on all data gave us a somewhat larger slope of 5.84509376. This indicates a relative. On page 17 of its 22-page dossier, the report charts ETH: The Road to $5,200, and uses a logarithmic regression graph to highlight potential future positions for Ethereum. As difficult as.

- us the 14-period ATR or the central line ) will serve as a support.
- Related Posts Cardano (ADA) and Polkadot (DOT) will vastly outperform Bitcoin and Ethereum analysis 05/31/2021: BTC and ETH freeze the The call Bitcoin Rainbow Chart (Bitcoin Rainbow Graph), a logarithmic graph of the evolution of the price of bitcoin (BTC) using color bands, has been published on blockchaincenter.net. This graph was created by Über Holger, [
- ed that specific year). For store of value (SoV) commodities like gold, platinum, or silver, a high ratio indicates that they are mostly not consumed in industrial applications

- Linear Regression including 2 x Standard Deviation + High / Low. Middle line colour depends on colour change of Symmetrically Weighted Moving Average . Green zones indicate good long positions. Red zones indicate good short positions. (Custom) 2. Symmetrically Weighted Moving Average. Colour change depending on cross of offset -1
- The so-called Bitcoin Rainbow Chart, a logarithmic chart of the evolution of the bitcoin (BTC) price using coloured bands, has been published on blockchaincenter.net.. This chart was created by Über Holger, CEO of Holger and responsible for the content of the website, using a logarithmic regression introduced by the Bitcointalk user trolololo in 2014, with which the coloured bands were created
- Sehen wir uns die lineare Regression an einem Beispiel an. Stell dir vor du bist Bademeister bzw. Bademeisterin in einem Freibad. Aus organisatorischen Gründen möchtest du gerne wissen, wie viele Personen du am nächsten Tag im Schwimmbad erwarten kannst. In der vergangenen Saison hast du dir einige Notizen gemacht, wie viele Besucher und Besucherinnen bei welcher Temperatur schwimmen waren.
- BITCOIN TODAY: In this BTC video, I'll go through the Bitcoin news today & I'll make a Bitcoin price analysis. We will look at the Bitcoin logarithmic regression band and it's effect on the BTC price. On this channel, I make daily videos over BTC and altcoins including Ethereum, XRP, Chainlink, and many more. These are just my Bitcoin price predictions and Bitcoin technical analysis, not to be.
- Logarithmic regression (or known as Tseng's tunnels), is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the.
- Régression linéaire. Un canal de régression linéaire est constitué d'une ligne médiane avec 2 lignes parallèles, au-dessus et en dessous, à la même distance. Ces lignes peuvent être considérées comme un support et une résistance. La ligne médiane est calculée sur la base d'une régression linéaire des prix de clôture, mais la.

** 仮想通貨の時価総額, BTC/USD, ETH/USD, USDT/USD, Introducing the Moving Regression Prediction Bands indicator**. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as. Kurze Einführungen in die Regression in deutscher Sprache gibt es etliche, u.a. Vincze (1984) beschreibt in Band 2 auf 90 Seiten die lineare Regression recht theoretisch Kraken ETH prediction. The American exchange firm seems even more bullish on ETH with their report noting that the asset sits between two bands; the $1,462 and $2,695 bands. The firm noted that $2,695 is the next biggest resistance for the coin. Kraken also states that ETH's potential peak in this cycle is based on logarithmic regression.

- BTC/EUR, BTC/USD, ETC/EUR, ETH/USD (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as predicted by the... 2383. 22. Bitcoin Logarithmic Growth Curves. quantadelic. This plots logarithmic curves fitted to major Bitcoin bear market tops.
- Binance cryptocurrency exchange - We operate the worlds biggest bitcoin exchange and altcoin crypto exchange in the world by volum
- Logarithmic regression of the USD price of Bitcoin , calculated according to the equation: y=A*exp(beta*x^lambda + c) + m*x + b where x is the number of days since the genesis block. All parameters are editable in the script options
- On this article I'm going to show how gradient descent combined with linear regression works, using bitcoin prices and its number of searches on Google as data
- Polynomial Regression Bands + Channel [DW] DonovanWall 2020 10月 2. This is an experimental study designed to calculate polynomial regression for any order polynomial that TV is able to support. This study aims to educate users on polynomial curve fitting, and the derivation process of Least Squares Moving Averages (LSMAs)
- Moving Regression Band Breakout strategy tbiktag Following the introduction of the Moving Regression Prediction Bands indicator (see link below), I'd like to propose how to utilize it in a simple band breakout strategy : Go long after the candle closes above the upper band

** שווי שוק של קריפטו, BTC/USD, ETH/USD, USDT/USD, XRP/USD, Introducing the Moving Regression Prediction Bands indicator**. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed. Introducing the Moving Regression Prediction Bands indicator. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as predicted by the..

Regressão Linear. Um canal de regressão linear consiste de uma linha mediana com duas linhas paralelas, acima e abaixo, à mesma distância. Essas linhas podem ser vistas como suporte e resistência. A linha mediana é calculada com base na regressão linear dos preços de fechamento, mas a fonte também pode ser definida como aberta, alta ou. Price as writing this $56,510.10 Bitcoin is holding the support of the 9-periods support band. If trading only by this chart, Bitcoin could be a buy and considered a consolidation. However, let's increase our perspective. Analyzing the logarithmic regression on the daily chart, it indicates that the price is high, but not overbought. The PI More . Portfolie update. Buying only! Barratt.

** Objekt fib an**. Geben Sie in den folgenden Zeilen von tutorial.R 2*fib+1, fib*fib und log(fib) ein. W ahlen Sie die drei Zeilen mit der Maus aus und senden sie Sie an die R-Konsole. Dies wertet die drei Zeilen nacheinander aus. Schauen Sie sich die Resultate an. Alles klar? Logarithmic regression (or known as Tseng's tunnels), is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line. Choosing Logisitic Regression's Cutoff Value for.

Stack Exchange network consists of 177 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.. Visit Stack Exchang * This is basically a regression of the time series onto itself*. Here, we assume that the current value depends on its previous values with some lag. It takes a parameter p which represents the maximum lag. To find it, we look at the partial autocorrelation plot and identify the lag after which most lags are not significant

Enzyme-linked Immunosorbent Assay (ELISA) bezeichnet ein antikörperbasiertes Nachweisverfahren ().Wie der Radioimmunassay (RIA) gehört auch der ELISA zur Gruppe der Immunassay-Verfahren, basiert aber nicht auf einer Radioaktivitätsmessung, sondern auf einer enzymatischen Farbreaktion und gehört somit zu den enzymatischen Immunadsorptionsverfahren (EIA) However, typical growth regressions use panel data with endogenous regressors, where the available instrument set tends to be very large. Although results could be sensitive to the instrument set chosen, there are currently no clear guidelines on how to choose the instruments. The purpose of the present paper is to develop a new BMA methodology that allows panel regression with fixed effects. * Benjamin dives into the data and looks at logarithmic trends, relationships and regression bands*. He mostly does this for Bitcoin although he also takes a look at other cryptocurrency prices. I have seen videos on Ethereum, Cardano, Nano etc

Vincze (1984) beschreibt in Band 2 auf 90 Seiten die lineare Regression recht theoretisch. Google Scholar . b Die Literatur zum Thema Regression ist umfangreich, besonders im englischen Sprachbereich. Weisberg (1980) betont die explorative Suche nach einem geeigneten Modell — eine empfehlenswerte Einführung in die Praxis der Regressionsanalyse mit vielen Beispielen. Google Scholar. Draper. why Lyn decided ETH was not currently investable (5:06) there's a nice, clear regression line, and it happens after a certain period of time. So, it gets to about five million wallets, and then it goes in a very clear, steep line, which is essentially an estimation of Metcalfe's Law, and I found that Ethereum was exactly mirroring Bitcoin. When I say exactly, when I look at it on. I tried this command geth --unlock ACCOUNT_PUBLIC_ADDRESS --password PASSWORD ang got the error: account unlock with http access is forbidden Then i tried to unlock account by typing this command personal.unlockAccount(eth.accounts[0], '1234' ,9000) on javascript console but still got the same error: account unlock with http access is forbidden - Haseeb Anxari Sep 13 '19 at 10:4

T-Rex Miner v0.20.4: NVIDIA GPU Miner [Download & Configure] T-Rex miner Is a program for mining on video cards with support for a large number of algorithms. The code is posted on GitHub, which inspires confidence in the miner. There, on the page, the developers set out their thoughts and views on the future of the project Try either to send ETH to the contract and afterwards call sendEther or directly call sendEther with enough ETH in the transaction. Share . Improve this answer. Follow edited Sep 12 '20 at 7:39. answered Sep 11 '20 at 9:48. Bobface Bobface. 253 1 1 silver badge 7 7 bronze badges. 3. Thank you for your comment. I thought a msg.sender can send ether by calling address.transfer() if msg.sender.

Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). Like all regression analyses, the logistic regression is a predictive analysis. Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables World Development Indicators (WDI) is the primary World Bank collection of development indicators, compiled from officially recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates. [Note: Even though Global Development Finance (GDF) is no longer listed in the WDI database name, all. An example of what you can build with Cryptofinance — a trade log with ticker bar and P/L tracking. Our team has added Cryptofinance subscriptions to our growing list of services. Subscribing to Cryptofinance grants access to the best features of this powerful Google Sheets add-on. You will now find price and data information on the Credits & Billing page. Cryptofinance info on the Credits. Bitcoin 2021 Price Prediction. Crypto News Video by The Modern Investor

11.5 The logit or log odds; 11.6 Interpreting the Coefficients of a Logistic Regression Model; 11.7 The Logistic Regression has non-constant variance; 11.8 Fitting a Logistic Regression Model to our Simulated Data; 11.9 Plotting the Logistic Regression Model; 12 Logistic Regression and the resect data. 12.1 The resect data; 12.2 Running A Simple Logistic Regression Model. 12.2.1 Logistic. The power-oscillator is based on a linear regression of the price information in a log-log plot [4]. This is the same principle as was used in the previous article. The below plot on the left. \$\begingroup\$ @Marty The key difference is that when doing maintenance, you touch the case once, and ideally, it is disconnected from the mains at that point in time.Whereas a anti-static wrist strap is connected to your body for hours in a row. A lot can happen in these hours, like touching a live circuit or surprise lightning strike or any other Earth Potential Rise cases The spectral density of localized states in the band gap of pentacene (trap DOS) was determined with a pentacene-based thin-film transistor from measurements of the temperature dependence and gate-voltage dependence of the contact-corrected field-effect conductivity. Several analytical methods to calculate the trap DOS from the measured data were used to clarify, if the different methods lead.

The Koc of ethyl methyl ether is estimated as approximately 48 (SRC), using an estimated log Kow of 0.56 (1,SRC) and a regression-derived equation (2,SRC). According to a classification scheme (3), this estimated Koc value suggests that ethyl methyl ether is expected to have very high mobility in soil (SRC) The logarithmic regression below shows that there is a statistical significance to a certain bitcoin price increase. How much and how fast is anybody's guess. The Rainbow Chart is meant to be be a fun way of looking at long term price movements, disregarding the daily volatility noise. The color bands follow a logarithmic regression, but are otherwise completely arbitrary and. Bitcoin logarithmic regression bands. BIC : Quelle est cette «beauté des mathématiques» comme vous l'appelez ? BC: L'idée est qu'il y a des tendances au niveau macro qui sont cachées (ligne rouge ci-dessous). Beaucoup de tendance sont finalement inutiles car «les tendances sont présentes jusqu'au bout». Mais je pense qu'une seule équation mathématique pour décrire l. The approach is applied to a large dataset of defaulted home mortgages from a UK bank and compared to two well-known industry approaches. Our zero-adjusted gamma model is shown to present an alternative and competitive approach to LGD modelling. Previous article in issue; Next article in issue; Keywords. Regression. Finance. Credit risk modelling. Mixture models. LGD. Basel II. 1. Introduction. U-Boot uses a flat numberspace, # so for bank 2 DIO 25, this would be number (32*1)+25=89 # The formula thus being (32*(bank-1)+dio)=flattened_dio # Note that on some products, bank 1 is the first bank # Set 2_25 low gpio clear 83 # Set 2_25 high gpio set 83 # Read 2_25 gpio input 83 # Control LEDs led red on led green on led all off led red toggle # This command is used to copy a file from.

Note for JSON-RPC users: eth_sendTransaction and eth_fillTransaction will create EIP-1559 transactions by default after the fork has activated. Note for users of Go/Java/ObjC contract bindings: accounts/abi/bind will create EIP-1559 transactions automatically after the fork Regression Model by Renato Shirakashi . Another Regression model on logarithmic graph attempted by Renato Shirkashi seems to be holding since the beginning as well, the non-linear regression model. The graph is plotted on a logarithmic scale w.r.t. time. As Bitcoin is a growing asset with the network effect, it seems to explain the price characteristics better. Moreover, the chart held true. In the context of the debate on the role of cryptocurrencies in the economy as well as their dynamics and forecasting, this brief study analyzes the predictability of Bitcoin volume and returns using Google search values. We employed a rich set of established empirical approaches, including a VAR framework, a copulas approach, and non-parametric drawings, to capture a dependence structure