ichimoku: The OANDA fxTrade API

About OANDA fxTrade

ichimoku provides an R language interface to the OANDA fxTrade API.

OANDA is a primary source of foreign exchange data used by investors, corporations and governments globally. The API can be used for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.

As an example of available financial data: OHLC prices for major forex pairs can be obtained from the start of 2005 with granularity ranging from 5 seconds to monthly. For the total list of over 120 covered instruments please refer to the Available Instruments section below.

Please note that ‘OANDA’ and ‘fxTrade’ are trademarks owned by OANDA Corporation, an entity unaffiliated with the ichimoku package, its authors or copyright holders.

Registering with OANDA

The OANDA fxTrade API, as distinct to other OANDA data sources, is based upon its retail / professional trading offering of the same name. As such, access to the API requires an fxTrade account with OANDA and agreement to their API terms of use.

Registering for a ‘demo’ or ‘practice’ account is entirely free at the time of writing and provides full access to the API. For registering an account, the following URL may be used: https://www.oanda.com/forex-trading/.

After successful registration, a link can be found on your OANDA fxTrade account profile page ‘Manage API Access’ (My Account -> My Services -> Manage API Access). From there, a personal access token to use with the OANDA API can be generated, as well as revoked. This access token will enable all the OANDA functions in this package.

Setting your OANDA API Key

If the ‘keyring’ package is installed, the OANDA API key (personal access token) can be set once and saved in your system credential store by using oanda_set_key(). This will enable it to be retrieved automatically for all subsequent sessions.

Separate keys can be set for practice and live accounts; please choose the correct account type when prompted.

If an access token is revoked and re-generated, please remember to set the API key again through the oanda_set_key() function.

As an alternative, the package looks for an environment variable OANDA_API_KEY. If present, this will be taken to be the OANDA API key, irrespective of type of account, and in precedence to keys stored using ‘keyring’.

Using a Live Account

If you are using an access token for a live (real money) account, you will want to call oanda_switch() at the beginning of each session; this switches the default server from the practice server to the live server. Settings will only persist until the end of the session.


#> Default OANDA server switched to 'live'

Note: this package only contains functions for retrieving available instruments and price data. It does not contain code to implement any trading capability whatsoever. Please be aware however, that a personal access token can be used (outside of this package) for all operations on your account including placing orders and trades, and appropriate precautions should be taken when using your live account token.

The OANDA Functions

All of the OANDA functions in the package are prefixed by ‘oanda’ for clarity.

Functions may be called interactively without any arguments, e.g. oanda_stream() or oanda_view(), in which case you will be further prompted to enter required arguments; as opposed to when specifying such arguments normally, these should be entered unquoted i.e. without any surrounding ““.

For all functions, the ‘instrument’ argument is case-insensitive and the delimiter can be either ’_’ or ‘-’, such that both oanda("USD_JPY") and oanda("usd-jpy") would be acceptable.


Retrieve pricing data from the OANDA fxTrade API.

The arguments to the function are phrased identically to that of the API itself where relevant:

Note: if both from and to are specified and the request would result in over 5000 periods being returned, the function prompts the user to confirm if multiple requests should be submitted. Unless the user response is “n” or “no”, the data will proceed to be downloaded in batches and merged together into a single dataframe. The function is safe for use in non-interactive settings as in such cases the download will proceed automatically without prompting.

oanda("USD_JPY", count = 3, from = "2010-11-01", price = "B")
#>                  time   open   high    low  close volume complete
#> 1 2010-11-01 21:00:00 80.275 81.504 80.225 80.501  22291     TRUE
#> 2 2010-11-02 21:00:00 80.504 80.956 80.460 80.617  13795     TRUE
#> 3 2010-11-03 21:00:00 80.632 81.585 80.594 81.069  22204     TRUE

The returned object is a dataframe with the following columns: ‘time’, ‘open’, ‘high’, ‘low’, ‘close’, ‘volume’ and ‘complete’.

Important implementation notes:


Create an updating real-time Ichimoku cloud chart. The refresh rate can be set for the chart to be updated down to every second. A plot of the ichimoku chart for the price data requested is output to the graphical device at each refresh interval.

The arguments are identical to oanda() above with the addition of:

The arguments ‘from’ and ‘to’ are excluded as they are not relevant in this context.

# For a live Palladium price chart:

In RStudio, please switch to the plots plane to view the chart if not already in focus.

Note that the periods displayed on the chart will be fewer than the ‘count’ specified - using default cloud periods, the first 77 datapoints will be excluded. This is by design to ensure a full cloud is displayed (i.e. there are no missing values for any cloud lines at the start of the data). Please take this into account when setting the ‘count’ parameter.

On exit from the function, the ichimoku object underlying the chart will be returned (invisibly). This allows the data to be saved simply by assigning to an object.

# To access the data, simply assign the return value to an object:
cloud <- oanda_chart("XPD_USD")


Create an interactive R Shiny session for working with real-time Ichimoku cloud charts. Provides a live analysis environment where parameters may be set interactively as required. The cursor infotip provides ready access to the data directly from the chart.

As all parameters can be set interactively in-app, oanda_studio() may be called without specifying any arguments. Otherwise, parameters may be set beforehand in the same way as oanda_chart().


The following additional parameters can be used to customise the behaviour of the Shiny environment:

Downloading Data

The ichimoku object underlying the live cloud chart can be saved by selecting the Data Archive button.

This button uses archive() to save the ichimoku object to disk. The filename will be of the form: instrument_granularity_price.rda, e.g. SUGAR_USD_D_A.rda. If confirmed, the file is saved to the browser’s default download location. Note that files with the same name are not overwritten but instead the filename is made unique.

To read back the file, use archive():

# Supply the quoted file path / name, for example:
cloud <- archive("~/Downloads/SUGAR_USD_D_A.rda")

# Or alternatively, choose the saved file interactively using a system dialog:
cloud <- archive()


Connect to the OANDA fxTrade streaming API and stream a list of prices generated by OANDA.

The arguments are as follows:

The ‘server’ and ‘apikey’ arguments are also available if required.

# Streaming session will end with data automatically returned after 600 secs (10 mins):
data <- oanda_stream("UK10YB_GBP", limit = 600)
#> Streaming data... Press 'Esc' to return
#>                   time           bids           asks closeoutBid closeoutAsk    status tradeable instrument
#> 1  2022-11-15 11:04:00 105.049, 10000 105.079, 10000     105.049     105.079 tradeable      TRUE UK10YB_GBP
#> 2  2022-11-15 11:04:01 105.039, 10000 105.079, 10000     105.039     105.079 tradeable      TRUE UK10YB_GBP
#> 3  2022-11-15 11:04:01 105.049, 10000 105.079, 10000     105.049     105.079 tradeable      TRUE UK10YB_GBP
#> 4  2022-11-15 11:04:04 105.059, 10000 105.089, 10000     105.059     105.089 tradeable      TRUE UK10YB_GBP
#> 5  2022-11-15 11:04:10 105.059, 10000 105.089, 10000     105.059     105.089 tradeable      TRUE UK10YB_GBP
#> 6  2022-11-15 11:04:11 105.059, 10000 105.089, 10000     105.059     105.089 tradeable      TRUE UK10YB_GBP
#> 7  2022-11-15 11:04:15 105.049, 10000 105.089, 10000     105.049     105.089 tradeable      TRUE UK10YB_GBP
#> 8  2022-11-15 11:04:15 105.049, 10000 105.079, 10000     105.049     105.079 tradeable      TRUE UK10YB_GBP

Use the ‘Esc’ key to stop the stream and return the session data. Assign the return value to an object if you wish to retain the data.

Note: only messages of type ‘PRICE’ are processed. Messages of type ‘HEARTBEAT’ consisting of only a timestamp are discarded.

The following should be noted from the streaming API documentation:


A convenience function that outputs to the console the latest one-line price quote for an instrument.

The output format is as follows: instrument, timestamp, daily open, high, low and last prices, daily percentage change (from the open), and the pricing component (M for mid, B for bid, A for ask).

#> USD_JPY 2021-10-05 16:29:44 open: 110.931  high: 111.564  low: 110.871  last: 111.398  %chg: 0.421 M


Prints a snapshot overview of the selected market, showing the relative performance of all constituents.

The available markets are : ‘allfx’ for all available currencies, ‘bonds’ for government bonds, ‘commodities’ for commodities, ‘fx’ for major currency pairs, ‘metals’ for metals and ‘stocks’ for global stock markets. As partial matching is enabled, it is possible to type just the first letter e.g. ‘c’ for commodities.

The first retrieved timestamp and the pricing component are printed, followed by the dataframe showing similar data to oanda_quote() for all instruments in the selected market. The data is ordered by the daily percentage change, from the most positive to the most negative.

Enter market [a]llfx [b]onds [c]ommodities [f]x [m]etals [s]tocks: c
#> Retrieving commodities [..........]
#> 2021-12-11 01:58:21 / M
#>                  open      high        low       last    %chg
#> NATGAS_USD    3.76200    3.9260    3.72400    3.85200  2.3923
#> BCO_USD      74.52600   76.2310   74.32600   75.88000  1.8168
#> WTICO_USD    70.91200   72.5540   70.55400   72.19000  1.8022
#> WHEAT_USD     7.67200    7.7710    7.57100    7.72700  0.7169
#> XPT_USD     930.20200  939.6000  924.29400  936.43800  0.6704
#> SOYBN_USD    12.63500   12.7580   12.58800   12.67800  0.3403
#> SUGAR_USD     0.19274    0.1948    0.19176    0.19334  0.3113
#> CORN_USD      5.89800    5.9410    5.86800    5.90200  0.0678
#> XCU_USD       4.30292    4.3479    4.26536    4.28361 -0.4488
#> XPD_USD    1805.14800 1815.1260 1729.61100 1752.81200 -2.8993

oanda_orders() / oanda_positions()

Provides a summary of the aggregate orders/positions held by OANDA fxTrade clients at each price level.

‘instrument’ is a required argument. The latest order/position book is retrieved unless the optional argument ‘time’ is used to specify a time for which to retrieve the order/position book.

The data is returned as a dataframe, with parameters saved as attributes which can be viewed with look(). A chart showing the percentage long and short orders/positions at each price level is output to the graphical device.

df <- oanda_positions("GBP_JPY")

Please note that this feature has been implemented by OANDA only for certain major currency pairs and should be considered experimental.

Note also that for the order book, only the interquartile range of order levels is charted as some orders are placed very far from the market price. The returned dataframe contains the full order book nevertheless.

Available Instruments

The list of financial instruments available for your account may be retrieved by oanda_instruments(). The available instruments are also automatically populated as an input in oanda_studio().

The list below serves as a reference only and may differ from those actually available for your account type and/or country/region.

#>           name     displayName     type
#> 1    AU200_AUD   Australia 200      CFD
#> 2      AUD_CAD         AUD/CAD CURRENCY
#> 3      AUD_CHF         AUD/CHF CURRENCY
#> 4      AUD_HKD         AUD/HKD CURRENCY
#> 5      AUD_JPY         AUD/JPY CURRENCY
#> 6      AUD_NZD         AUD/NZD CURRENCY
#> 7      AUD_SGD         AUD/SGD CURRENCY
#> 8      AUD_USD         AUD/USD CURRENCY
#> 9      BCO_USD Brent Crude Oil      CFD
#> 10     CAD_CHF         CAD/CHF CURRENCY
#> 11     CAD_HKD         CAD/HKD CURRENCY
#> 12     CAD_JPY         CAD/JPY CURRENCY
#> 13     CAD_SGD         CAD/SGD CURRENCY
#> 14    CH20_CHF  Switzerland 20      CFD
#> 15     CHF_HKD         CHF/HKD CURRENCY
#> 16     CHF_JPY         CHF/JPY CURRENCY
#> 17     CHF_ZAR         CHF/ZAR CURRENCY
#> 18  CHINAH_HKD  China H Shares      CFD
#> 19    CN50_USD       China A50      CFD
#> 20    CORN_USD            Corn      CFD
#> 21  DE10YB_EUR            Bund      CFD
#> 22    DE30_EUR      Germany 30      CFD
#> 23   ESPIX_EUR        Spain 35      CFD
#> 24    EU50_EUR       Europe 50      CFD
#> 25     EUR_AUD         EUR/AUD CURRENCY
#> 26     EUR_CAD         EUR/CAD CURRENCY
#> 27     EUR_CHF         EUR/CHF CURRENCY
#> 28     EUR_CZK         EUR/CZK CURRENCY
#> 29     EUR_DKK         EUR/DKK CURRENCY
#> 30     EUR_GBP         EUR/GBP CURRENCY
#> 31     EUR_HKD         EUR/HKD CURRENCY
#> 32     EUR_HUF         EUR/HUF CURRENCY
#> 33     EUR_JPY         EUR/JPY CURRENCY
#> 34     EUR_NOK         EUR/NOK CURRENCY
#> 35     EUR_NZD         EUR/NZD CURRENCY
#> 36     EUR_PLN         EUR/PLN CURRENCY
#> 37     EUR_SEK         EUR/SEK CURRENCY
#> 38     EUR_SGD         EUR/SGD CURRENCY
#> 39     EUR_TRY         EUR/TRY CURRENCY
#> 40     EUR_USD         EUR/USD CURRENCY
#> 41     EUR_ZAR         EUR/ZAR CURRENCY
#> 42    FR40_EUR       France 40      CFD
#> 43     GBP_AUD         GBP/AUD CURRENCY
#> 44     GBP_CAD         GBP/CAD CURRENCY
#> 45     GBP_CHF         GBP/CHF CURRENCY
#> 46     GBP_HKD         GBP/HKD CURRENCY
#> 47     GBP_JPY         GBP/JPY CURRENCY
#> 48     GBP_NZD         GBP/NZD CURRENCY
#> 49     GBP_PLN         GBP/PLN CURRENCY
#> 50     GBP_SGD         GBP/SGD CURRENCY
#> 51     GBP_USD         GBP/USD CURRENCY
#> 52     GBP_ZAR         GBP/ZAR CURRENCY
#> 53    HK33_HKD    Hong Kong 33      CFD
#> 54     HKD_JPY         HKD/JPY CURRENCY
#> 55   JP225_USD       Japan 225      CFD
#> 56  JP225Y_JPY Japan 225 (JPY)      CFD
#> 57  NAS100_USD      US Nas 100      CFD
#> 58  NATGAS_USD     Natural Gas      CFD
#> 59    NL25_EUR  Netherlands 25      CFD
#> 60     NZD_CAD         NZD/CAD CURRENCY
#> 61     NZD_CHF         NZD/CHF CURRENCY
#> 62     NZD_HKD         NZD/HKD CURRENCY
#> 63     NZD_JPY         NZD/JPY CURRENCY
#> 64     NZD_SGD         NZD/SGD CURRENCY
#> 65     NZD_USD         NZD/USD CURRENCY
#> 66    SG30_SGD    Singapore 30      CFD
#> 67     SGD_CHF         SGD/CHF CURRENCY
#> 68     SGD_JPY         SGD/JPY CURRENCY
#> 69   SOYBN_USD        Soybeans      CFD
#> 70  SPX500_USD      US SPX 500      CFD
#> 71   SUGAR_USD           Sugar      CFD
#> 72     TRY_JPY         TRY/JPY CURRENCY
#> 73   UK100_GBP          UK 100      CFD
#> 74  UK10YB_GBP     UK 10Y Gilt      CFD
#> 75  US2000_USD    US Russ 2000      CFD
#> 76    US30_USD   US Wall St 30      CFD
#> 77  USB02Y_USD    US 2Y T-Note      CFD
#> 78  USB05Y_USD    US 5Y T-Note      CFD
#> 79  USB10Y_USD   US 10Y T-Note      CFD
#> 80  USB30Y_USD       US T-Bond      CFD
#> 81     USD_CAD         USD/CAD CURRENCY
#> 82     USD_CHF         USD/CHF CURRENCY
#> 83     USD_CNH         USD/CNH CURRENCY
#> 84     USD_CZK         USD/CZK CURRENCY
#> 85     USD_DKK         USD/DKK CURRENCY
#> 86     USD_HKD         USD/HKD CURRENCY
#> 87     USD_HUF         USD/HUF CURRENCY
#> 88     USD_JPY         USD/JPY CURRENCY
#> 89     USD_MXN         USD/MXN CURRENCY
#> 90     USD_NOK         USD/NOK CURRENCY
#> 91     USD_PLN         USD/PLN CURRENCY
#> 92     USD_SEK         USD/SEK CURRENCY
#> 93     USD_SGD         USD/SGD CURRENCY
#> 94     USD_THB         USD/THB CURRENCY
#> 95     USD_TRY         USD/TRY CURRENCY
#> 96     USD_ZAR         USD/ZAR CURRENCY
#> 97   WHEAT_USD           Wheat      CFD
#> 98   WTICO_USD  West Texas Oil      CFD
#> 99     XAG_AUD      Silver/AUD    METAL
#> 100    XAG_CAD      Silver/CAD    METAL
#> 101    XAG_CHF      Silver/CHF    METAL
#> 102    XAG_EUR      Silver/EUR    METAL
#> 103    XAG_GBP      Silver/GBP    METAL
#> 104    XAG_HKD      Silver/HKD    METAL
#> 105    XAG_JPY      Silver/JPY    METAL
#> 106    XAG_NZD      Silver/NZD    METAL
#> 107    XAG_SGD      Silver/SGD    METAL
#> 108    XAG_USD          Silver    METAL
#> 109    XAU_AUD        Gold/AUD    METAL
#> 110    XAU_CAD        Gold/CAD    METAL
#> 111    XAU_CHF        Gold/CHF    METAL
#> 112    XAU_EUR        Gold/EUR    METAL
#> 113    XAU_GBP        Gold/GBP    METAL
#> 114    XAU_HKD        Gold/HKD    METAL
#> 115    XAU_JPY        Gold/JPY    METAL
#> 116    XAU_NZD        Gold/NZD    METAL
#> 117    XAU_SGD        Gold/SGD    METAL
#> 118    XAU_USD            Gold    METAL
#> 119    XAU_XAG     Gold/Silver    METAL
#> 120    XCU_USD          Copper      CFD
#> 121    XPD_USD       Palladium      CFD
#> 122    XPT_USD        Platinum      CFD
#> 123    ZAR_JPY         ZAR/JPY CURRENCY

Note: the above table is saved as internal package data and used as a fallback if the instruments API call fails. In such a case, a warning is issued once per session as subsequent calls will return the cached list.

Caching Implementation

The package retrieves the following once only during a session (the first time they are used) and caches the variables for further use:

If for any reason these become invalid or outdated, please re-load the package (or restart your R session) to enable these variables to be refreshed.

Calling oanda_switch() will also clear all cached variables.


‘OANDA’ and ‘fxTrade’ are trademarks owned by OANDA Corporation, an entity unaffiliated with the ichimoku package, its authors or copyright holders.

OANDA fxTrade API developer website: https://developer.oanda.com/.