Titan | Cryptocurrency trading bot framework | Cryptocurrency library

 by   exdx Python Version: Current License: GPL-3.0

kandi X-RAY | Titan Summary

kandi X-RAY | Titan Summary

Titan is a Python library typically used in Blockchain, Cryptocurrency, Bitcoin, Nodejs applications. Titan has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Cryptocurrency trading bot framework

            kandi-support Support

              Titan has a low active ecosystem.
              It has 156 star(s) with 45 fork(s). There are 25 watchers for this library.
              It had no major release in the last 6 months.
              There are 5 open issues and 0 have been closed. On average issues are closed in 852 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Titan is current.

            kandi-Quality Quality

              Titan has 0 bugs and 0 code smells.

            kandi-Security Security

              Titan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Titan code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Titan is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              Titan releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Titan and discovered the below as its top functions. This is intended to give you an instant insight into Titan implemented functionality, and help decide if they suit your requirements.
            • Check if the condition has changed
            • Print message to logger
            • Write Trading Pair to DB
            • Executes the transaction
            • Write open order to DB
            • Subscribe to the given exchange
            • Get a MarketWatcher object for exchange
            • Start a new tick timer
            • Start the database
            • Start the game
            • Check condition
            • Update the market
            • Returns the latest NCandles as a pandas DataFrame
            • Get latest candle for exchange
            • Execute market buy
            • Update long_position
            • Execute a market sell
            • Returns a pandas DataFrame of TradingPositions for the given exchange pair
            • Insert data into OHLCV table
            • Opens a simulated long position
            • Make the historical ratio plot
            • Called when a buy signal is received
            • Add new candle for interval
            • Cancel the order
            • Return all candles for a given pair
            • Opens a new long position
            Get all kandi verified functions for this library.

            Titan Key Features

            No Key Features are available at this moment for Titan.

            Titan Examples and Code Snippets

            Get device details .
            pythondot img1Lines of Code : 42dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def get_device_details(device):
              """Returns details about a physical devices.
              This API takes in a `tf.config.PhysicalDevice` returned by
              `tf.config.list_physical_devices`. It returns a dict with string keys
              containing various details about th  

            Community Discussions


            How do I add within-group percentages as bar labels on a seaborn count plot?
            Asked 2022-Mar-26 at 04:15

            My goal is to create barplots with counts on the y axis and have the bars labelled with the percentage of the group. The code below gets me halfway there -



            Answered 2022-Mar-26 at 04:15

            Generate within-feature proportions manually, e.g. for feature sex:

            1. Compute the proportions of survived within each sex using groupby.value_counts()
            2. Access a given bar's proportion via its group (male/female sex) and label (0/1 survived)
              • The groups will be ordered differently per dtype, so unique() won't always work (see the full example in the next section)
              • The label of a container c is c.get_label(), which can be converted to the appropriate type via df[hue].dtype.type

            Source https://stackoverflow.com/questions/71549867


            Why is my SQL Database not recognizing my 2nd and 3rd tables as relational tables, despite recognizing the 1st?
            Asked 2022-Mar-22 at 00:56

            I am very new to SQL and I am having difficulties working on my project for school. I have 3 tables: material, costs, and usages. I can only query the "material" table (used a SELECT * FROM statement to display everything), but when I try it on my other tables, it says ERROR: relation "costs" does not exist. I am completely stumped. I posted the raw code and an image for legibility. Any help is greatly appreciated. I do not know too much about SQL as a whole, but I also am following my teacher's project example, and syntactically speaking, it is setup the exact same way, which is why I am at a loss as to why only one of my three tables are accessible.



            Answered 2022-Mar-22 at 00:56

            You have a lot of errors

            MysqL, has not taht ssyntax for creatig users and Provileges

            Every row must have if it is not the last statement a comma which sperates dieffrent columns or constraints

            The part with giveing gant to the tables, is so not possible, you can only grant one at a time, or use the sytax equipment.* for all tables

            Last yyour last 3 INSERT INTO are missing VALUES bedore the new contenet

            Source https://stackoverflow.com/questions/71565320


            pd.get_dummies() not converting categorical data to one hot encoded vectors when multiple features are used
            Asked 2022-Mar-18 at 13:24

            I just got started on Kaggle and for my first project I was working on the Titanic dataset.

            I ran the following codeblock



            Answered 2022-Mar-18 at 13:24


            What does the error "single-row subquery returns more than one row" means and how to fix it?
            Asked 2022-Feb-21 at 09:25

            I'm trying to query for all movies that have a higher score than a randomly selected movie score. I don't understand the error to fix my query.

            List the titles of movies that have a higher score than some movie in the database.
            (Don't hardcode "some" movie as any specific movie such as "Titanic".)



            Answered 2022-Feb-21 at 01:40

            The sub-query SELECT SCORE FROM MOVIE does not return a random score of a movie in other words a scalar but a list of scores. You can't compare a scalar to the left of the > to a list at its right (the result of the sub-query). This is syntactically wrong. You can correct this in many different ways. It depends on what you want. Here are some working examples with > operator:

            Source https://stackoverflow.com/questions/71200103


            Is there an alternative way to fit Poisson model in R besides using glm?
            Asked 2022-Feb-15 at 00:19

            I get an error when I try to fit Poisson model in a given dataset in R. Am struggling to understand the cause of the error.



            Answered 2022-Feb-15 at 00:19

            You might be confused. You can't fit a Poisson to a categorical response. You could fit a Poisson to binary data after converting survival "yes"/"no" to 0/1, but it doesn't really make sense:

            Source https://stackoverflow.com/questions/71117739


            Regex ensure that there's only one blank line(2 newlines) after each section ends and another section begins in any Text-INI file
            Asked 2022-Jan-31 at 09:57

            As I have mentioned in Question title, I have following INI file, which contains umpteen number of sections and each section containing umpteen lines:



            Answered 2022-Jan-30 at 16:35

            In Notepad++ and Sublime Text, you can use

            Find What: (\R){2,}(?!\R*\[[^][]*]$)
            Replace With: $1

            See the regex demo. Details:

            • (\R){2,} - two or more line break sequences (the last one captured is saved in Group 1 memory buffer)
            • (?!\R*\[[^][]*]$) - a negative lookahead that fails the match if there are
              • \R* - zero or more line break sequences
              • \[ - a [ char
              • [^][]* - zero or more chars other than [ and ]
              • ] - a ] char
              • $ - end of a line.

            In Visual Studio Code, this regex needs tweaking a bit:

            Source https://stackoverflow.com/questions/70916565


            ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). df[condition]
            Asked 2022-Jan-22 at 03:34

            If the data in the column 'embark_town' is 'Southampton', I want to change them all to 'manchester'. So after accessing the data with condition setting, I applied the 'apply' function. What's the problem?



            Answered 2022-Jan-22 at 03:34

            As Michael Szczesny also pointed out in the comment. DataFrame.apply uses a Series as input. The change(name) function defined expects a string. The message ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). comes from trying to compare a Series to a string.

            One fix pointed out by Register Sole is to use conditions instead.

            Source https://stackoverflow.com/questions/70809477


            TypeError: Cannot index by location index with a non-integer key in for loop
            Asked 2022-Jan-21 at 13:47

            While touring the "class" column, I want to change the value to "01" if the data value is "one", "02" if it is "two", and "03" if it is "three", what's the problem?



            Answered 2022-Jan-21 at 13:47

            As outlined in comment, pandas.DataFrame.iloc only takes integers as indexers. Or, given how you iterate over df['class'], it turns out that your xs are strings of characters. Hence the TypeError you get.

            That being said, if you want to replace your occurrence by something else, what about using pandas.Series.map, as follows:

            Source https://stackoverflow.com/questions/70802091


            Flexible placement of labels in seaborn barplots
            Asked 2022-Jan-15 at 21:06

            I would like to place labels on bars in Seaborn depending on how much space there is available.

            For example in the example below I would like to use outside labels if they fit on the figure and inside labels when they don't. I would like to do this automatically for many plots, so I am looking for a smart way to do this flexibly. Any ideas?



            Answered 2022-Jan-15 at 21:06


            How can I change a Panda Dataframe so that the values are strictly between 0 and 1 while preserving the NaNs?
            Asked 2022-Jan-02 at 08:19

            I am working on the Kaggle Titanic problem. I have a function that creates cross products of survival means by characteristics of the passengers. For SibSp by Embarked I get the following survival table:



            Answered 2022-Jan-02 at 08:19

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Titan

            First thing is make sure you have a recent version of Python on your computer, as well as Git (I recommend GitHub Desktop if you're a new user). You can download Python from the website here and go for the 3.6+ version for your OS. From there, make a new virtual environment as follows:. Once you're squared away with a squeaky clean new virtual environment you should proceed to install all the dependencies required for the program to run. You should have (titanenv) on the side of your console window now.
            This should start up the app the same as above, only in a container.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone exdx/Titan

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