Vantagex

Elixir wrapper for Alpha Vantage API

Alpha Vantage offers free financial APIs in JSON and CSV formats, providing access to realtime and historical stock data. As well as forex and cryptocurrency feeds, and 50+ technical indicators.

Roadmap

Here's the complete (desired) list of features. Checked items are the ones already implemented.

Base API with support for all of the Alpha Vantage API params but nothing else
Dedicated module for Timeseries functions
Dedicated module for Forex functions
Dedicated module for the cryptocurrencies functions
Dedicated module for the indicators functions
'Watch' option for stocks

Installation

First, add :vantagex to your deps list in your mix.exs file

def deps do
  [
    {:vantagex, "~> 0.1"}
  ]
end

Then, make sure to add your Alpha Vantage API key to your config files config.exs or environment specific, like dev.exs

If you don't have an Alpha Vantage API key, you can get one for free here

config :vantagex,
  api_key: "YOUR_API_KEY"

Finally run $ mix deps.get and you should be good to go.

Time Series functions

You can call Alpha Vantage's Time Series functions with the Vantagex.TimeSeries module:

iex> Vantagex.TimeSeries.daily_adjusted("GOOG")
%{
  "Meta Data" => %{
    "1. Information" => "Daily Time Series with Splits and Dividend Events",
    "2. Symbol" => "GOOG",
    "3. Last Refreshed" => "2019-02-08 16:00:01",
    "4. Output Size" => "Compact",
    "5. Time Zone" => "US/Eastern"
  },
  "Time Series (Daily)" => %{
    "2018-11-12" => %{
      "1. open" => "1061.3900",
      "2. high" => "1062.1200",
      "3. low" => "1031.0000",
      "4. close" => "1038.6300",
      "5. adjusted close" => "1038.6300",
      "6. volume" => "1471758",
      "7. dividend amount" => "0.0000",
      "8. split coefficient" => "1.0000"
    },
    "2018-12-06" => %{
      "1. open" => "1034.2600",
      "2. high" => "1071.2000",
      "3. low" => "1030.7700",
      "4. close" => "1068.7300",
      "5. adjusted close" => "1068.7300",
      "6. volume" => "2769225",
      "7. dividend amount" => "0.0000",
      "8. split coefficient" => "1.0000"
    },
    ...
  }
}

These functions take the ticker symbol and accept an optional opts object, allowed options are :outputsize and :datatype. The only function that requires an extra argument is intraday/3, which expects the interval as an integer value:

iex> Vantagex.TimeSeries.intraday("GOOG", 5) # 5 minute interval
%{
  "Meta Data" => %{
    "1. Information" => "Intraday (5min) open, high, low, close prices and volume",
    "2. Symbol" => "GOOG",
    "3. Last Refreshed" => "2019-02-08 16:00:00",
    "4. Interval" => "5min",
    "5. Output Size" => "Compact",
    "6. Time Zone" => "US/Eastern"
  },
  "Time Series (5min)" => %{
    "2019-02-07 15:50:00" => %{
      "1. open" => "1096.2900",
      "2. high" => "1096.6400",
      "3. low" => "1095.5500",
      "4. close" => "1095.9720",
      "5. volume" => "22465"
    },
    "2019-02-07 14:40:00" => %{
      "1. open" => "1093.5500",
      "2. high" => "1093.9301",
      "3. low" => "1092.7000",
      "4. close" => "1093.0000",
      "5. volume" => "11702"
    },
    ...
  }
}

Output format

As you may notice, these functions return an Elixir Map. This is the default option. However, you can get plaintext JSON or CSV responses, by specifying the :datatype option:

iex> Vantagex.TimeSeries.intraday("GOOG", 5, datatype: :csv)
"timestamp,open,high,low,close,volume\r\n2019-02-04 16:00:00,1130.7800,1132.4301,1130.5000,1132.4301,122109\r\n2019-02-04 15:55:00,1129.9800,1130.7900,1129.3140,1130.4685,52596\r\n2019-02-04 15:50:00,1129.2600,1130.2520,1128.8500,1129.8600,50110\r\n2019-02-04 15:45:00,1126.7550,1129.4750,1126.7550,1129.4100,33314\r\n2019-02-04 15:40:00,1127.7600,1127.7600,1125.3700,1126.4900,42554\r\n2019-02-04 15:35:00,1130.2900,1130.2900,1127.7006,1127.7006,36706\r\n2019-02-04 15:30:00,1131.1500,1131.5450,1130.3400,1130.6600,17684\r\n2019-02-04 15:25:00,1131.5900,1132.0100,1130.6899,1130.9900,20110\r\n2019-02-04 15:20:00,1130.7800,1131.7999,1130.7130,1131.3280,19301\r\n2019-02-04 15:15:00,1129.8400,1131.5500,1129.8400,1130.5072,36392\r\n2019-02-04 15:10:00,1129.0200,1130.1187,1128.0400,1130.1187,25009\r\n2019-02-04 15:05:00,1129.9000,1129.9998,1128.9301,1129.1600,15658\r\n2019-02-04 15:00:00,1130.0000,1130.4399,1129.7700,1130.0699,21459\r\n2019-02-04 14:55:00,1128.5500,1129.9000,1128.5500,1129.9000,41086\r\n2019-02-04 14:50:00,1128.8400,1128.9718,1127.8025,1128.3900,14609\r\n2019-02-04 14:45:00,1127.6191,1129.0000,1127.6191,1128.5900,12154\r\n..."

For more information, see the module's documentation.

Forex functions.

You can call Alpha Vantage's forex functions using the Vantagex.Forex module

iex> Vantagex.Forex.intraday("USD", "COP", 5)
%{
  "Meta Data" => %{
    "1. Information" => "FX Intraday (5min) Time Series",
    "2. From Symbol" => "USD",
    "3. To Symbol" => "COP",
    "4. Last Refreshed" => "2019-02-17 22:40:00",
    "5. Interval" => "5min",
    "6. Output Size" => "Compact",
    "7. Time Zone" => "UTC"
  },
  "Time Series FX (5min)" => %{
    "2019-02-17 17:45:00" => %{
      "1. open" => "3130.0000",
      "2. high" => "3130.0000",
      "3. low" => "3130.0000",
      "4. close" => "3130.0000"
    },
    ...
  }
}

These functions take two currencies (their ISO 4217 code. e.g. "USD"), as well as options to set datatype and outputsize, just like TimeSeries.

The only function from Vantagex.Forex that requires an extra argument is intraday/4, which expects an integer that determines the interval in minutes, as shown in the example above.

Output format works the same as TimeSeries.

For more information, see the module's documentation.

Cryptocurrencies functions.

You can call Alpha Vantage's cryptocurrencies functions using the Vantagex.Cryptocurrencies module

iex> Vantagex.Cryptocurrencies.daily("BTC", "USD")
%{
  "Meta Data" => %{
    "1. Information" => "Daily Prices and Volumes for Digital Currency",
    "2. Digital Currency Code" => "BTC",
    "3. Digital Currency Name" => "Bitcoin",
    "4. Market Code" => "USD",
    "5. Market Name" => "United States Dollar",
    "6. Last Refreshed" => "2019-03-09 (end of day)",
    "7. Time Zone" => "UTC"
  },
  "Time Series (Digital Currency Daily)" => %{
    "2017-07-13" => %{
      "1a. open (USD)" => "2397.70831714",
      "1b. open (USD)" => "2397.70831714",
      "2a. high (USD)" => "2429.55116636",
      "2b. high (USD)" => "2429.55116636",
      "3a. low (USD)" => "2329.24694466",
      "3b. low (USD)" => "2329.24694466",
      "4a. close (USD)" => "2353.72968273",
      "4b. close (USD)" => "2353.72968273",
      "5. volume" => "73837.90295505",
      "6. market cap (USD)" => "173794463.89599040"
    },
    "2018-11-12" => %{
      "1a. open (USD)" => "6404.47988049",
      "1b. open (USD)" => "6404.47988049",
      "2a. high (USD)" => "6435.95061677",
      "2b. high (USD)" => "6435.95061677",
      "3a. low (USD)" => "6359.81993277",
      "3b. low (USD)" => "6359.81993277",
      "4a. close (USD)" => "6375.86047086",
      "4b. close (USD)" => "6375.86047086",
      "5. volume" => "57756.07950395",
      "6. market cap (USD)" => "368244704.26095134"
    },
  ...
  }
}

These functions take the digital or crypto currency and the market, as well as options to set datatype and outputsize, just like TimeSeries.

Technical Indicators functions

You can call Alpha Vantage's techincal indicators functions using the Vantagex.TechnicalIndicators module.

All of the functions under this module take all of the API parameters that are required, and an additional opts keyword list which can be used to pass extra parameters available to the functions.

So, for instance, if you wanted to call the Bollinger bands API for the close values of the "GOOG" stock, with :daily intervals, and a window of 20, with a standard deviation of 1 both up and down, you would do it like this:

Vantagex.TechnicalIndicators.bbands("GOOG", :daily, 20, :close, nbdevup: 1, nbdevdn: 1)

As you can see in Alpha Vantage's docs for this function, for this function symbol, interval, time_period, and series_type are required parameters, that's why you pass those four values in. And then you have nbdevup, nbdevdn, matype, and datatype as optional parameters, thus, you pass those in the opts list. The function name and the apikey are also required, but those shouldn't be passed in, since they are already pulled from the config.

This would produce a response like this:

%{
  "Meta Data" => %{
    "1: Symbol" => "GOOG",
    "2: Indicator" => "Bollinger Bands (BBANDS)",
    "3: Last Refreshed" => "2019-10-25",
    "4: Interval" => "daily",
    "5: Time Period" => 20,
    "6.1: Deviation multiplier for upper band" => 1,
    "6.2: Deviation multiplier for lower band" => 1,
    "6.3: MA Type" => 0,
    "7: Series Type" => "close",
    "8: Time Zone" => "US/Eastern Time"
  },
  "Technical Analysis: BBANDS" => %{
    "2017-07-13" => %{
      "Real Lower Band" => "915.9401",
      "Real Middle Band" => "935.2200",
      "Real Upper Band" => "954.4999"
    },
    "2010-12-07" => %{
      "Real Lower Band" => "284.9546",
      "Real Middle Band" => "293.6493",
      "Real Upper Band" => "302.3441"
    },
    "2011-06-30" => %{
      "Real Lower Band" => "242.0506",
      "Real Middle Band" => "249.3182",
      "Real Upper Band" => "256.5859"
    },
    "2012-08-03" => %{
      "Real Lower Band" => "288.5434",
      "Real Middle Band" => "300.6135",
      "Real Upper Band" => "312.6835"
    },
    "2012-08-23" => %{
      "Real Lower Band" => "316.3829",
      "Real Middle Band" => "325.2354",
      "Real Upper Band" => "334.0880"
    },
    "2012-01-17" => %{
      "Real Lower Band" => "310.1277",
      "Real Middle Band" => "317.1253",
      "Real Upper Band" => "324.1230"
    },
    "2018-11-12" => %{
      "Real Lower Band" => "1046.5269",
      "Real Middle Band" => "1074.0660",
      "Real Upper Band" => "1101.6051"
    },
    "2018-05-29" => %{
      "Real Lower Band" => "1046.7046",
      "Real Middle Band" => "1068.5640",
      "Real Upper Band" => "1090.4234"
    },
    "2010-04-09" => %{
      "Real Lower Band" => "278.2627",
      "Real Middle Band" => "281.2169",
      "Real Upper Band" => "284.1711"
    },
    "2008-09-22" => %{
      "Real Lower Band" => "211.8627",
      "Real Middle Band" => "222.1877",
      "Real Upper Band" => "232.5126"
    },
    "2005-02-22" => %{
      "Real Lower Band" => "93.2264",
      "Real Middle Band" => "96.8609",
      "Real Upper Band" => "100.4954"
    },
    "2018-02-20" => %{
      "Real Lower Band" => "1051.9637",
      "Real Middle Band" => "1107.7015",
      "Real Upper Band" => "1163.4393"
    },
    "2010-10-18" => %{
      "Real Lower Band" => "255.0257",
      "Real Middle Band" => "267.7918",
      "Real Upper Band" => "280.5578"
    },
    "2009-09-25" => %{
      "Real Lower Band" => "229.3201",
      "Real Middle Band" => "237.3000",
      "Real Upper Band" => "245.2800"
    },
    "2011-01-18" => %{
      "Real Lower Band" => "297.9082",
      "Real Middle Band" => "303.2645",
      "Real Upper Band" => "308.6209"
    },
    "2017-08-09" => %{
      "Real Lower Band" => "927.5829",
      "Real Middle Band" => "945.5385",
      "Real Upper Band" => "963.4941"
    },
    "2006-07-12" => %{
      "Real Lower Band" => "196.2076",
      "Real Middle Band" => "202.9005",
      "Real Upper Band" => "209.5933"
    },
    "2005-06-27" => %{
      "Real Lower Band" => "138.7568",
      "Real Middle Band" => "142.3265",
      "Real Upper Band" => "145.8963"
    },
    "2008-11-17" => %{
      "Real Lower Band" => "156.5398",
      "Real Middle Band" => "168.0404",
      "Real Upper Band" => "179.5410"
    },
    "2010-06-30" => %{
      "Real Lower Band" => "233.5966",
      "Real Middle Band" => "241.1621",
      "Real Upper Band" => "248.7276"
    },
    "2004-12-08" => %{
      "Real Lower Band" => "84.3380",
      "Real Middle Band" => "87.3474",
      "Real Upper Band" => "90.3567"
    },
    "2016-02-16" => %{
      "Real Lower Band" => "683.8266",
      "Real Middle Band" => "708.3675",
      "Real Upper Band" => "732.9084"
    },
    "2012-09-26" => %{
      "Real Lower Band" => "341.9084",
      "Real Middle Band" => "353.4631",
      "Real Upper Band" => "365.0179"
    },
    "2017-08-04" => %{
      "Real Lower Band" => "929.6691",
      "Real Middle Band" => "946.7220",
      "Real Upper Band" => "963.7749"
    },
    "2014-10-30" => %{
      "Real Lower Band" => "526.2241",
      "Real Middle Band" => "544.2130",
      "Real Upper Band" => "562.2019"
    },
    "2013-03-15" => %{
      "Real Lower Band" => "396.6416",
      "Real Middle Band" => "404.8498",
      "Real Upper Band" => "413.0580"
    },
    "2014-07-29" => %{
      "Real Lower Band" => "577.0440",
      "Real Middle Band" => "584.4662",
      "Real Upper Band" => "591.8885"
    },
    "2018-07-23" => %{
      "Real Lower Band" => "1118.7867",
      "Real Middle Band" => "1153.0455",
      "Real Upper Band" => "1187.3043"
    },
    "2018-01-24" => %{
      "Real Lower Band" => "1067.2546",
      "Real Middle Band" => "1104.5705",
      "Real Upper Band" => "1141.8864"
    },
    "2018-01-03" => %{
      "Real Lower Band" => "1031.8574",
      "Real Middle Band" => "1050.5845",
      "Real Upper Band" => "1069.3116"
    },
    "2015-10-09" => %{
      "Real Lower Band" => "611.4766",
      "Real Middle Band" => "626.6645",
      "Real Upper Band" => "641.8524"
    },
    "2013-01-10" => %{
      "Real Lower Band" => "351.1339",
      "Real Middle Band" => "357.8278",
      "Real Upper Band" => "364.5216"
    },
    "2018-12-06" => %{
      "Real Lower Band" => "1033.6873",
      "Real Middle Band" => "1059.0850",
      "Real Upper Band" => "1084.4827"
    },
    "2011-11-02" => %{
      "Real Lower Band" => "272.3310",
      "Real Middle Band" => "285.3788",
      "Real Upper Band" => "298.4267"
    },
    "2012-12-05" => %{
      "Real Lower Band" => "326.1733",
      "Real Middle Band" => "333.9057",
      "Real Upper Band" => "341.6381"
    },
    "2006-04-03" => %{
      "Real Lower Band" => "168.2978",
      "Real Middle Band" => "178.2354",
      "Real Upper Band" => "188.1731"
    },
    "2018-10-09" => %{
      "Real Lower Band" => "1157.2593",
      "Real Middle Band" => "1174.5160",
      "Real Upper Band" => "1191.7727"
    },
    "2015-02-25" => %{
      "Real Lower Band" => "523.1272",
      "Real Middle Band" => "533.1575",
      "Real Upper Band" => "543.1878"
    },
    "2011-09-12" => %{
      "Real Lower Band" => "254.9090",
      "Real Middle Band" => "262.4308",
      "Real Upper Band" => "269.9527"
    },
    "2015-11-18" => %{
      "Real Lower Band" => "700.9240",
      "Real Middle Band" => "719.1615",
      "Real Upper Band" => "737.3990"
    },
    "2007-06-22" => %{
      "Real Lower Band" => "247.7323",
      "Real Middle Band" => "252.8249",
      "Real Upper Band" => "257.9174"
    },
    "2005-03-15" => %{
      "Real Lower Band" => "90.0222",
      "Real Middle Band" => "93.3613",
      "Real Upper Band" => "96.7005"
    },
    "2005-12-16" => %{
      "Real Lower Band" => "201.9022",
      "Real Middle Band" => "206.1637",
      "Real Upper Band" => "210.4253"
    },
    "2011-12-05" => %{
      "Real Lower Band" => "290.1793",
      "Real Middle Band" => "298.5353",
      "Real Upper Band" => "306.8912"
    },
    "2005-07-19" => %{
      "Real Lower Band" => "144.7881",
      "Real Middle Band" => "147.5178",
      "Real Upper Band" => "150.2475"
    },
    "2011-02-24" => %{
      "Real Lower Band" => "302.6647",
      "Real Middle Band" => "306.7161",
      ...
    },
    "2006-07-06" => %{"Real Lower Band" => "192.7600", ...},
    "2013-09-27" => %{...},
    ...
  }
}

You can check the module's or the functions' docs for detailed information on the arguments and optional params of each function.

Calling the general API function

You can call the base API function, which should support all of the existing APIs provided by Alpha Vantage using Vantagex.call_api, like so:

# Use the TIME_SERIES_DAILY function
iex> params = %{symbol: "GOOG", outputsize: "full"}
%{outputsize: "full", symbol: "GOOG"}
iex> Vantagex.call_api("TIME_SERIES_DAILY", params)
%{
  "Meta Data" => %{
    "1. Information" => "Daily Prices (open, high, low, close) and Volumes",
    "2. Symbol" => "GOOG",
    "3. Last Refreshed" => "2019-01-04",
    "4. Output Size" => "Full size",
    "5. Time Zone" => "US/Eastern"
  },
  "Time Series (Daily)" => %{
    "2017-07-13" => %{
      "1. open" => "946.2900",
      "2. high" => "954.4500",
      "3. low" => "943.0100",
      "4. close" => "947.1600",
      "5. volume" => "1291782"
    },
    "2018-11-12" => %{
      "1. open" => "1061.3900",
      "2. high" => "1062.1200",
      "3. low" => "1031.0000",
      "4. close" => "1038.6300",
      "5. volume" => "1471758"
    },
    "2018-05-29" => %{
      "1. open" => "1064.8900",
      "2. high" => "1073.3700",
      "3. low" => "1055.2200",
      "4. close" => "1060.3200",
      "5. volume" => "1865139"
    },
    ...
  }
}

Notice that the result has no particular order. This is because of the way maps work in Elixir.

You can pass any of the options allowed by Alpha Vantage to the params map. However, if you fail to include one of the required params (Except for apikey and function which should not be passed in params), you'll get an error like this:

%{
  "Error Message" => "Invalid API call. Please retry or visit the documentation (https://www.alphavantage.co/documentation/) for TIME_SERIES_DAILY."
}

Or, in case you attempt to call an unknown function, you'll get a different error message:

iex> Vantagex.call_api("TIME_SERIES_QUARTERLY", %{symbol: "GOOG"})
{:error, "Unknown function: 'TIME_SERIES_QUARTERLY'"}

Running the project by itself

To clone and run this project by itself run:

$ git clone https://github.com/sbacarob/vantagex.git
$ cd vantagex
$ iex -S mix

vantagex
Release 0.1.6

Release 0.1.6

0.1.4

0.1.6

0.1.5

Documentation

Vantagex

Elixir wrapper for Alpha Vantage API

Roadmap

Installation

Time Series functions

Output format

Forex functions.

Cryptocurrencies functions.

Technical Indicators functions

Calling the general API function

Running the project by itself

Stats

Development practices

Releases

Maintainers

Contributors

vantagex Release 0.1.6

Release 0.1.6 Toggle Dropdown 0.1.4 0.1.6 0.1.5

Documentation

Vantagex

Elixir wrapper for Alpha Vantage API

Roadmap

Installation

Time Series functions

Output format

Forex functions.

Cryptocurrencies functions.

Technical Indicators functions

Calling the general API function

Running the project by itself

Stats

Development practices

Releases

Maintainers

Contributors

vantagex
Release 0.1.6

Release 0.1.6

0.1.4

0.1.6

0.1.5