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      "body": "When publishing my open source projects, I often want to give potential users or contributors an idea of the project's scope and complexity of the codebase.  Although not perfect, Lines of Code (LoC) can often be a good metric for determining this.\n\n![](https://ameo.link/u/4ha.png)\n\n[Tokei](https://github.com/Aaronepower/tokei#badges) is a written in Rust that counts lines of code *very* fast.  They host a web-service that automatically generates badges for Github and Gitlab repositories showing these statistics.\n\n## Using Tokei in Your Repositories\n\nUsing the Tokei badge service couldn't be easier: Simply add a small link to your project's `README.md` file and reload the page!\n\nThe snippet looks like this: `![](https://tokei.rs/b1/github/Ameobea/cryptoviz)`\n\nReplace `github` with `gitlab` if you're using that, replace `Ameobea` with your Github/Gitlab username, and replace `cryptoviz` with whatever your repository is named.  That will automatically generate and display the small LoC badge.\n\nIf you want to view the file count as well, Use this snippet: `![](https://tokei.rs/b1/github/Ameobea/cryptoviz?category=files)`, making the same replacements as the first snippet.  Additional categories that are available include `code` (default), `blanks`, `comments`, and `lines`(total of code, comments, and blanks).\n\n----\n\nI've made a habit out of using Tokei on all of my open-source repositories.  Besides being a cool way to track your progress and view some simple stats about your own work, it helps others who many be interested in your work as well!\n\nCheck out the [Tokei Repository](https://github.com/Aaronepower/tokei) to learn more about the cool tool or install the CLI version!",
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      "title": "Using CryptoViz: An Advanced Orderbook Visualization Tool for Cryptocurrency Trading",
      "body": "Recently, data-driven trading has been a very popular trend among traders.  However, the wide range of information sources available can make trading cryptocurrencies feel like trying to fish a useful tidbit out of a deluge of data.  There's the orderbook depth chart, the ticker feed, candlestick charts, hundreds of indicators, and dozens of interacting currency pairs to take into consideration at the same time.\n\nTo try to help solve this problem, I created [CryptoViz](https://cryptoviz.net), an interactive orderbook analysis tool that can make sifting through real-time market data a much more manageable task.\n\nHere's an example of what the CryptoViz interface looks like:\n![](https://ameo.link/u/4g1.png)\n\nAt first, it may seem like a lot going on, but breaking it down is very simple.  At its core, CryptoViz shows how buy and sell orders are placed, changed, and filled over time.  It lets you see in real time when walls are created, when they're broken, and how the price reacts in response to that happening.\n\nLet's break down the individual components that make up the interface.\n\n## Volume Bands\n\nThe volume bands are the core feature of the tool.  To create them, the visualization is divided into slices and the total volume in resting buy/sell orders in those slices is totaled up.  When stacked on top of each other, they provide a very detailed view into where liquidity lies and how much of it there is.\n\n![](https://ameo.link/u/4e6.png/)\n\nIn the image above, you can see the range of trading within an area bounded on both the top and bottom by resting buy and sell orders.  Buys are filled at the best sell offer, and sells at the best buy offer.  Generally, large amounts of resting liquidity act as support or resistance until they're either removed or broken, allowing the price to move more freely to higher or lower levels.\n\nThis is a very important concept to grasp not only for using CryptoViz but for trading in general.  The less volume there is in orders on either side of the current price, the more rapidly and dramatically the price will move.  This is often called having \"thin\" books, and is often found after periods of high volatility where the price rises or falls significantly in a short period of time.  While books are thin, even small orders have the potential of moving the market.\n\nThere are many ways to interpret the information from price bands that are tied into a variety of different trading styles and strategies.  I'll go over a few of my favorites later in this writeup.\n\n## Trade Indicators\n\nThe red and blue lines and circles represent trades.  The large circles represent large trades occurring and the lines connecting them trace a path through the buys (blue) and sells (red) that take place.\n\nHovering over a trade circle will show some information about the trade including how much currency was transacted and at what levels.\n\n![](https://pbs.twimg.com/profile_images/849018586970456064/_33RRJCh_400x400.jpg)\n\nIn the image above, a resting buy order for 10,000 ETH was filled all at once by an even larger sell order, driving the price lower and leaving a resting sell order in its place.  CryptoViz allows you to easily see events like these in real time and react to them quickly.  Rather than staring at a traditional depth chart that only shows the current market depth, you can see the market's history and how the depth has evolved over time.\n\n## Using This Data for Trading\n\n![](https://ameo.link/u/4fm.png)\n\nThe above screenshot shows a great example of how the market responds to a large market buy order.  The order was so large that it wiped a large portion of the available ask-order liquidity from the book in one go, eliminating all of the resistance holding the price down instantly.  It's easy to see this liquidity vanish in a closer view:\n\n![](https://ameo.link/u/4h5.png)\n\nWith the resistance gone and since very few new sell orders were opened up to fill in the void, the buy and sell pressure becomes unbalanced which drives the price up.  A large buy wall at 0.01734 helped to provide additional buy-side pressure, pushing the price even higher.\n\n----\n\nThis is the kind of activity that CryptoViz draws into sharp focus.  Similar tools have been used in other financial markets for years, but I've not encountered anything else even remotely like this for cryptocurrency trading.\n\nThe entire CryptoViz tool is 100% free and open source on Github: https://github.com/ameobea/cryptoviz\n\nI also have a twitter account on which I post the occasional useful or interesting screenshot: https://twitter.com/cryptoviznet\n\nI'd love to hear what you guys think of this tool.  I've got some plans for improving it and adding additional features in the future, and I'd love to work with anyone interested in using this tool for trading or contributing to its codebase!\n\nI'd also love to answer any questions or feedback in the comments.\n\nThanks for checking out CryptoViz; I hope you can find it useful!",
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      "title": "Using CryptoViz: An Advanced Orderbook Visualization Tool for Cryptocurrency Trading",
      "body": "Recently, data-driven trading has been a very popular trend among traders.  However, the wide range of information sources available can make trading cryptocurrencies feel like trying to fish a useful tidbit out of a deluge of data.  There's the orderbook depth chart, the ticker feed, candlestick charts, hundreds of indicators, and dozens of interacting currency pairs to take into consideration at the same time.\n\nTo try to help solve this problem, I created [CryptoViz](https://cryptoviz.net), an interactive orderbook analysis tool that can make sifting through real-time market data a much more manageable task.\n\nHere's an example of what the CryptoViz interface looks like:\n![](https://ameo.link/u/4g1.png)\n\nAt first, it may seem like a lot going on, but breaking it down is very simple.  At its core, CryptoViz shows how buy and sell orders are placed, changed, and filled over time.  It lets you see in real time when walls are created, when they're broken, and how the price reacts in response to that happening.\n\nLet's break down the individual components that make up the interface.\n\n## Volume Bands\n\nThe volume bands are the core feature of the tool.  To create them, the visualization is divided into slices and the total volume in resting buy/sell orders in those slices is totaled up.  When stacked on top of each other, they provide a very detailed view into where liquidity lies and how much of it there is.\n\n![](https://ameo.link/u/4e6.png/)\n\nIn the image above, you can see the range of trading within an area bounded on both the top and bottom by resting buy and sell orders.  Buys are filled at the best sell offer, and sells at the best buy offer.  Generally, large amounts of resting liquidity act as support or resistance until they're either removed or broken, allowing the price to move more freely to higher or lower levels.\n\nThis is a very important concept to grasp not only for using CryptoViz but for trading in general.  The less volume there is in orders on either side of the current price, the more rapidly and dramatically the price will move.  This is often called having \"thin\" books, and is often found after periods of high volatility where the price rises or falls significantly in a short period of time.  While books are thin, even small orders have the potential of moving the market.\n\nThere are many ways to interpret the information from price bands that are tied into a variety of different trading styles and strategies.  I'll go over a few of my favorites later in this writeup.\n\n## Trade Indicators\n\nThe red and blue lines and circles represent trades.  The large circles represent large trades occurring and the lines connecting them trace a path through the buys (blue) and sells (red) that take place.\n\nHovering over a trade circle will show some information about the trade including how much currency was transacted and at what levels.\n\n![](https://pbs.twimg.com/profile_images/849018586970456064/_33RRJCh_400x400.jpg)\n\nIn the image above, a resting buy order for 10,000 ETH was filled all at once by an even larger sell order, driving the price lower and leaving a resting sell order in its place.  CryptoViz allows you to easily see events like these in real time and react to them quickly.  Rather than staring at a traditional depth chart that only shows the current market depth, you can see the market's history and how the depth has evolved over time.\n\n## Using This Data for Trading\n\n![](https://ameo.link/u/4fm.png)\n\nThe above screenshot shows a great example of how the market responds to a large market buy order.  The order was so large that it wiped a large portion of the available ask-order liquidity from the book in one go, eliminating all of the resistance holding the price down instantly.  It's easy to see this liquidity vanish in a closer view:\n\n![](https://ameo.link/u/4h5.png)\n\nWith the resistance gone and since very few new sell orders were opened up to fill in the void, the buy and sell pressure becomes unbalanced which drives the price up.  A large buy wall at 0.01734 helped to provide additional buy-side pressure, pushing the price even higher.\n\n----\n\nThis is the kind of activity that CryptoViz draws into sharp focus.  Similar tools have been used in other financial markets for years, but I've not encountered anything else even remotely like this for cryptocurrency trading.\n\nThe entire CryptoViz tool is 100% free and open source on Github: https://github.com/ameobea/cryptoviz\n\nI also have a twitter account on which I post the occasional useful or interesting screenshot: https://twitter.com/cryptoviznet\n\nI'd love to hear what you guys think of this tool.  I've got some plans for improving it and adding additional features in the future, and I'd love to work with anyone interested in using this tool for trading or contributing to its codebase!\n\nI'd also love to answer any questions or feedback in the comments.\n\nThanks for checking out CryptoViz; I hope you can find it useful!",
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      "title": "Using CryptoViz: An Advanced Orderbook Visualization Tool for Cryptocurrency Trading",
      "body": "Recently, data-driven trading has been a very popular trend among traders.  However, the wide range of information sources available can make trading cryptocurrencies feel like trying to fish a useful tidbit out of a deluge of data.  There's the orderbook depth chart, the ticker feed, candlestick charts, hundreds of indicators, and dozens of interacting currency pairs to take into consideration at the same time.\n\nTo try to help solve this problem, I created [CryptoViz](https://cryptoviz.net), an interactive orderbook analysis tool that can make sifting through real-time market data a much more manageable task.\n\nHere's an example of what the CryptoViz interface looks like:\n![](https://ameo.link/u/4g1.png)\n\nAt first, it may seem like a lot going on, but breaking it down is very simple.  At its core, CryptoViz shows how buy and sell orders are placed, changed, and filled over time.  It lets you see in real time when walls are created, when they're broken, and how the price reacts in response to that happening.\n\nLet's break down the individual components that make up the interface.\n\n## Volume Bands\n\nThe volume bands are the core feature of the tool.  To create them, the visualization is divided into slices and the total volume in resting buy/sell orders in those slices is totaled up.  When stacked on top of each other, they provide a very detailed view into where liquidity lies and how much of it there is.\n\n![](https://ameo.link/u/4e6.png/)\n\nIn the image above, you can see the range of trading within an area bounded on both the top and bottom by resting buy and sell orders.  Buys are filled at the best sell offer, and sells at the best buy offer.  Generally, large amounts of resting liquidity act as support or resistance until they're either removed or broken, allowing the price to move more freely to higher or lower levels.\n\nThis is a very important concept to grasp not only for using CryptoViz but for trading in general.  The less volume there is in orders on either side of the current price, the more rapidly and dramatically the price will move.  This is often called having \"thin\" books, and is often found after periods of high volatility where the price rises or falls significantly in a short period of time.  While books are thin, even small orders have the potential of moving the market.\n\nThere are many ways to interpret the information from price bands that are tied into a variety of different trading styles and strategies.  I'll go over a few of my favorites later in this writeup.\n\n## Trade Indicators\n\nThe red and blue lines and circles represent trades.  The large circles represent large trades occurring and the lines connecting them trace a path through the buys (blue) and sells (red) that take place.\n\nHovering over a trade circle will show some information about the trade including how much currency was transacted and at what levels.\n\n![](https://pbs.twimg.com/profile_images/849018586970456064/_33RRJCh_400x400.jpg)\n\nIn the image above, a resting buy order for 10,000 ETH was filled all at once by an even larger sell order, driving the price lower and leaving a resting sell order in its place.  CryptoViz allows you to easily see events like these in real time and react to them quickly.  Rather than staring at a traditional depth chart that only shows the current market depth, you can see the market's history and how the depth has evolved over time.\n\n## Using This Data for Trading\n\n![](https://ameo.link/u/4fm.png)\n\nThe above screenshot shows a great example of how the market responds to a large market buy order.  The order was so large that it wiped a large portion of the available ask-order liquidity from the book in one go, eliminating all of the resistance holding the price down instantly.  It's easy to see this liquidity vanish in a closer view:\n\n![](https://ameo.link/u/4h5.png)\n\nWith the resistance gone and since very few new sell orders were opened up to fill in the void, the buy and sell pressure becomes unbalanced which drives the price up.  A large buy wall at 0.01734 helped to provide additional buy-side pressure, pushing the price even higher.\n\n----\n\nThis is the kind of activity that CryptoViz draws into sharp focus.  Similar tools have been used in other financial markets for years, but I've not encountered anything else even remotely like this for cryptocurrency trading.\n\nThe entire CryptoViz tool is 100% free and open source on Github: https://github.com/ameobea/cryptoviz\n\nI also have a twitter account on which I post the occasional useful or interesting screenshot: https://twitter.com/cryptoviznet\n\nI'd love to hear what you guys think of this tool.  I've got some plans for improving it and adding additional features in the future, and I'd love to work with anyone interested in using this tool for trading or contributing to its codebase!\n\nI'd also love to answer any questions or feedback in the comments.\n\nThanks for checking out CryptoViz; I hope you can find it useful!",
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