Exodus Makes Learning About Blockchain Assets Easy Blockchain assets (also called digital currency or cryptocurrency) are a young, fragmented new frontier. New people buy bitcoin and miss out on exciting, new opportunities. Diversifying means learning about keys, seeds, wallets, blockchains, mining fees, cold storage, and more. Not only do you give up control of your identity, privacy and money; everything quickly turns overwhelming with too much to learn. Exodus was created to shift power back to you to control your assets - with no banks, no brokers or institutional oversight. Crypto Protfolio For PC can be easily installed and used on a desktop computer or laptop running Windows XP, Windows 7, Windows 8, Windows 8.1, Windows 10 and a Macbook, iMac running Mac OS X. This will be done using an Android emulator. To install Crypto Protfolio For PC, we will use BlueStacks app player. Jun 16, 2012 Online Crypto is the most convenient password manager you've ever used on a mobile device. Openemu app download for mac. Built with a pattern login and backed by a military grade encryption for iPad, iPhone, and iPod touch, it lets you get to your passwords securely with a swipe of your finger. 3 Best Free Video Converter Apps for Mac OS X Jun 20, 2013 - 9 Comments There are tons of video converter apps out there for the Mac, many of which are free, and some are paid but priced all too high. Free YouTube Converter for Mac is a great choice for you to convert YouTube videos to MP4 video formats and MP3 audio on Mac supported by iPhone, iPad, iPod, Android phones and other devices. Exodus is a software platform ONLY and does not conduct any independent diligence on or substantive review of any blockchain asset, digital currency, cryptocurrency or associated funds. You are fully and solely responsible for evaluating your investments, for determining whether you will exchange blockchain assets based on your own, and for all your decisions as to whether to exchange blockchain assets with Exodus. In many cases, blockchain assets you exchange on the basis of your research may not increase in value, and may decrease in value. Similarly, blockchain assets you exchange on the basis of your research may increase in value after your exchange. Past performance is not indicative of future results. Any investment in blockchain assets involves the risk of loss of part or all of your investment. The value of the blockchain assets you exchange is subject to market and other investment risks. Close high low open quoteVolume volume weightedAverage date 2017-08-18 12:00:00 0.070510 0.071000 0.070170 0.04.2.762684 0.0-08-18 16:00:00 0.071595 0.072096 0.070004 0.04.0.136154 0.0-08-18 20:00:00 0.071321 0.072906 0.070482 0.05.1.549065 0.0-08-19 00:00:00 0.071447 0.071855 0.070868 0.06.9.361419 0.0-08-19 04:00:00 0.072323 0.072550 0.071292 0.05.5.596030 0.072066 Step 3.3 - Convert Prices to USD Now we can combine this BTC-altcoin exchange rate data with our Bitcoin pricing index to directly calculate the historical USD values for each altcoin. # Calculate USD Price as a new column in each altcoin dataframe for altcoin in altcoin_data.keys(): altcoin_data[altcoin]['price_usd'] = altcoin_data[altcoin]['weightedAverage'] * btc_usd_datasets['avg_btc_price_usd'] Here, we've created a new column in each altcoin dataframe with the USD prices for that coin. Next, we can re-use our merge_dfs_on_column function from earlier to create a combined dataframe of the USD price for each cryptocurrency. # Merge USD price of each altcoin into single dataframe combined_df = merge_dfs_on_column(list(altcoin_data.values()), list(altcoin_data.keys()), 'price_usd') Easy. Now let's also add the Bitcoin prices as a final column to the combined dataframe. # Add BTC price to the dataframe combined_df['BTC'] = btc_usd_datasets['avg_btc_price_usd'] Now we should have a single dataframe containing daily USD prices for the ten cryptocurrencies that we're examining. Let's reuse our df_scatter function from earlier to chart all of the cryptocurrency prices against each other. # Chart all of the altocoin prices df_scatter(combined_df, 'Cryptocurrency Prices (USD)', seperate_y_axis=False, y_axis_label='Coin Value (USD)', scale='log') Nice! This graph provides a pretty solid 'big picture' view of how the exchange rates for each currency have varied over the past few years. Note that we're using a logarithmic y-axis scale in order to compare all of the currencies on the same plot. You are welcome to try out different parameter values here (such as scale='linear') to get different perspectives on the data. Step 3.4 - Perform Correlation Analysis You might notice is that the cryptocurrency exchange rates, despite their wildly different values and volatility, look slightly correlated. Especially since the spike in April 2017, even many of the smaller fluctuations appear to be occurring in sync across the entire market.
0 Comments
Leave a Reply. |