algorithmic-trading-with-python | Source code for Algorithmic Trading | Cryptocurrency library

by chrisconlan Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets(4)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | algorithmic-trading-with-python Summary

algorithmic-trading-with-python is a Python library typically used in Blockchain, Cryptocurrency applications. algorithmic-trading-with-python has no bugs, it has no vulnerabilities and it has medium support. However algorithmic-trading-with-python build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Source code for Algorithmic Trading with Python (2020) by Chris Conlan. Paperback available for purchase on Amazon. These stand-alone resources can be useful to researchers with or without the accompanying book. The rest of the material in this repository depends on explanation and context given in the book.

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Quality

Security

License

Reuse

Support

algorithmic-trading-with-python has a medium active ecosystem.

It has 1803 star(s) with 327 fork(s). There are 79 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of algorithmic-trading-with-python is current.

Quality

algorithmic-trading-with-python has 0 bugs and 0 code smells.

Security

algorithmic-trading-with-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

algorithmic-trading-with-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

algorithmic-trading-with-python has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

algorithmic-trading-with-python releases are not available. You will need to build from source code and install.

algorithmic-trading-with-python has no build file. You will be need to create the build yourself to build the component from source.

algorithmic-trading-with-python saves you 1098 person hours of effort in developing the same functionality from scratch.

It has 2485 lines of code, 262 functions and 72 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed algorithmic-trading-with-python and discovered the below as its top functions. This is intended to give you an instant insight into algorithmic-trading-with-python implemented functionality, and help decide if they suit your requirements.

Simulate a price
Calculates a buy to open market
Creates a function that returns a function that returns a lookup function
Assert that two input dataframes are equal
Compute a random forest classifier
Perform repeated k - fold on training
Runs the simulation
Plot the benchmark comparison
Load the data from the data
Start the simulation
Plot the model
Creates a function to bind to a benchmark
Calculates the features for a given price series
Plot the chart
Prints the summary
Prints a summary of the benchmark
Calculate the pure profit score
Calculates the annual cumulative average of a series
Get the best value for a given metric
Calculate Bollinger bands
Returns a pandas DataFrame containing the results
Finish the simulation
Calculates Sharpe ratio
Calculates the Sortino ratio
Record exit price
Calculate a macroeconomic Moving Average

Get all kandi verified functions for this library.

algorithmic-trading-with-python Key Features

No Key Features are available at this moment for algorithmic-trading-with-python.

algorithmic-trading-with-python Examples and Code Snippets

OpenAT: Open Source Algorithmic Trading Library,Examples,Market

C++

Lines of Code : 125

License : Permissive (Apache-2.0)

Copy

// A call to `coins()` returns `std::map` where the key is the name of the coin
// and the value is a `coin_t` type, which contains basic informations about the coin
// like t's name, the symbol and it's status

auto coins = market->coins();
for(c

Bitkub Python,Usage ,Viewing trades

Python

Lines of Code : 18

License : No License

Copy

bitkub.trades(sym="THB_BTC", lmt=2)

{
  'error': 0,
  'result': [
    [
      1583246192, // timestamp
      278798.34, // rate
      0.00375672, // amount
      'BUY' // side
    ],
    [
      1583246159,
      278000,
      0.0001042,
      'SELL

QTrader: A Light Event-Driven Algorithmic Trading Engine,Live trading

Python

Lines of Code : 15

License : No License

Copy

...

# specify the live trading gateway
market = FutuGateway(
    securities=stock_list,
    end=datetime(2021, 3, 18, 16, 0, 0, 0),
)

...

# turn on Simulation/Livetrading mode
event_engine = BarEventEngine(strategy, recorder, trade_mode=TradeMode.

Unregister a listener for a trade trade trade event .

java

Lines of Code : 5

License : Permissive (MIT License)

Copy

public void removeStockTradeListener(StockTradeListener listener) {
        synchronized (this.stockTradeListeners) {
            this.stockTradeListeners.remove(listener);
        }
    }

Community Discussions

Trending Discussions on algorithmic-trading-with-python

Trying to import GitHub module

QUESTION

Trying to import GitHub module

Asked 2021-Mar-04 at 23:24

I'm trying to import https://github.com/chrisconlan/algorithmic-trading-with-python in my code. I've never imported anything from GitHub before and have looked at various other questions that have been asked on Stack Overflow regarding this problem but it just doesn't work. When I try to run the 'portfolio.py' code for example I keep getting a ModuleNotFound error for 'pypm'. What exactly is the correct way to import such a module or the whole GitHub directory? I'm working with Visual Studio Code on Windows.

...

ANSWER

Answered 2021-Mar-04 at 23:17

You will need to pip install the module. In your case the command you would need to run is python -m pip install -U git+https://github.com/chrisconlan/algorithmic-trading-with-python. Once you have done that you need to find the name of the module. You can do this with pip list. Find the name of the module you just installed. Then you just stick import at the top of your code with the rest of your imports.

Source https://stackoverflow.com/questions/66484347

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

Vulnerabilities

No vulnerabilities reported

Install algorithmic-trading-with-python

You can download it from GitHub.
You can use algorithmic-trading-with-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

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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