tradingview-to-oanda

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tradingview-to-oanda

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Use TradingView alerts' webhook functionality to post orders to OANDA's API

tradingview-to-oanda 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# TradingView to OANDA

## Summary
I'm setting up a [web.py](https://webpy.org/) server that can run on PythonAnywhere (uploaded there through GitHub) which listens to TradingView alerts on a URL (i.e. webhook) and posts orders (and sets stop-losses, etc.) on OANDA through their API

## Things to consider
* A sell order isn't actually handled as a sell order, but as closing all open positions for the given `instrument`.
  * Note that if this signal is sent to OANDA when the markets are closed, it will be cancelled.
* A buy order is handled as a limit order with a Good-Til-Date 15 minutes in the future.
  * That means that if it is sent when the markets are closed, it will most likely cancel (unless of course the markets open within those 15 minutes)

## Supported parameters
### Required parameters
* `action` either `buy` or `sell`
* `ticker` a six-letter ticker without any separator (e.g. `EURUSD`)
* `close` the price you want to buy the instrument at (ignored for sells, see [Things to consider](#things-to-consider))
### Optional parameters and their defaults
* `units` the size of the position to open as a positive integer, in the currency of the instrument (e.g. in Euros for "EURUSD" or gold for "XAUEUR"). Defaults to `500`
* `trailing_stop_loss_percent` the percentage points below `close` on which to start the trailing stop loss as a positive decimal. (E.g. to set it 5% below, enter `0.05`.) Defaults to `0.01`, i.e. 1%. See [OANDA's documentation on trailing stops](https://www1.oanda.com/forex-trading/learn/capital-management/stop-loss) for more information.
* `take_profit_percent` the percentage points above `close` to set the take profit at as a positive decimal. When the market reaches this point, the position is automatically closed. Defaults to `0.06`, i.e. 6%
* `trading_type` either `live` or `practice`, used to select the respective API key and account ID from your `credentials.json` file. Defaults to `practice`
Any other parameters will not be handled, but are sent along. That means you will see them in your server logs.

## To-do
1. ~~Set up development environment~~
1. ~~Install and set up the web.py server~~
1. ~~Have it listen to POST requests (test with Postman)~~
1. ~~Parse the parameters sent in the request to variables that can be sent along to OANDA~~
1. ~~Authenticate with the OANDA API~~
1. ~~Send a test order to OANDA's paper trader~~
1. ~~Add stop-losses and other risk management techniques to the OANDA call~~
1. ~~Connect the local web.py server with the OANDA API call~~
1. ~~Test if a request from Postman to the web.py server running locally reaches OANDA correctly~~
1. ~~Find out why my limit order didn't go through in the beginning, but cancelled because it reaches the GTD. Maybe the market was closed? If that was the case the market won't move and there won't be any signals, right?~~
1. ~~Add some kind of verification so that only I can send orders through my webhook~~
1. ~~Move the server to PythonAnywhere so that TradingView can reach it~~
1. ~~Setup TradingView to send an alert to the server on PythonAnywhere~~
1. ~~Have the server return the result of a POST request for easier Postman debugging~~
1. ~~Have the server translate what TradingView sends as `{{ticker}}` and `{{close}}` to what OANDA expects as `instrument` and `price`~~
1. ~~Make `size` optional with a default value set server-side~~
1. ~~Add different processing for buy and sell alerts~~
1. ~~Fix the fact that `size` works for XAUEUR, but not for `EURUSD`~~
1. ~~Rename `close` to `price` in the alerts and everywhere else, in case someone wants to use a different price~~
1. ~~Add more alerts to TradingView once I have ironed out the JSON in the alerts~~
1. ~~Automatically set price precision decimals and remove it as a parameter that can be messed with~~
1. ~~Wait and see if one of those alerts from TradingView reaches OANDA correctly~~
1. ~~Add a mechanism that notifies me of every order (email, maybe?)~~
1. `git pull` the latest version to PythonAnywhere so that the email subject of sell orders is correct
1. Code cleanup, more object-oriented, maybe?
1. Think of a way to handle alerts based on the last candle of the day, which will most likely be triggering buys/sells when the markets are closed. Don't forget weekends

## Prerequisites
* `pip install web.py`
* `pip install requests`
* `pip install sendgrid`, if you choose to use [SendGrid's mail API](https://sendgrid.com/docs/API_Reference/api_v3.html) to send order confirmations from PythonAnywhere to yourself
* a `credentials.json` file containing a JSON like this:

```json
{
  "oanda_practice": {
    "api_key": "<YOUR PRACTICE ACCOUNT API KEY>",
    "account_id": "<YOUR PRACTICE ACCOUNT ID>"
  },
  "oanda_live": {
    "api_key": "<YOUR LIVE ACCOUNT API KEY>",
    "account_id": "<YOUR LIVE ACCOUNT ID>"
  },
  "sendgrid": {
    "api_key": "<YOUR SENDGRID API KEY>",
    "email_address": "<THE ADDRESS TO SEND FROM AND TO>"
  }
}
```

## Authentication
The webhook is only available on `/webhook/<ACCESS_TOKEN>` where `<ACCESS_TOKEN>` is one of the items in the JSON list in `access_tokens.json`. Create that file with the following contents:

```json
[
  "<ACCESS_TOKEN>"
]
```

Make sure to replace `<ACCESS_TOKEN>` with an access token of your choice (e.g. [have DuckDuckGo generate one for you](https://duckduckgo.com/?q=password+64))

Note that these are the only valid endpoints. The server won't tell you anything if you're trying to reach it somewhere else.

## Set up PythonAnywhere
1. Create an account, if you don't have one already
1. `git clone` this repository through a Bash console. (I'll assume you clone into `/home/<USERNAME>/tradingview-to-oanda` for the rest of the setup.)
1. Go to the "Files" tab and upload your `credentials.json` and `access_tokens.json` to the repository's directory
1. Create a virtualenv (I named it "tradingview-to-oanda" and used Python 3.7, see the [docs](https://help.pythonanywhere.com/pages/Virtualenvs)):
  ```
  mkvirtualenv tradingview-to-oanda --python=/usr/bin/python3.7
  ```
1. Open the "Web" tab and create a custom web app
1. Set the following parameters:
  * __Source code__ = The directory you cloned the repository into
  * __Working directory__ = The same directory
  * __Virtualenv__ = The directory of the virtualenv you created, probably something like `/home/<USERNAME>/.virtualenvs/tradingview-to-oanda`
1. Then open the __WSGI configuration file__ linked from the Web tab
1. Comment the `HELLO WORLD` bit (⌘+/ works here)
1. Add this to the bottom:
  ```
  # +++++++++++ web.py +++++++++++
  # Added by me, based on https://help.pythonanywhere.com/pages/WebDotPyWSGIConfig
  import sys
  sys.path.append('/home/<USERNAME>/tradingview-to-oanda')
  from server import app
  application = app.wsgifunc()
  ```
1. Save the file and go back to the Web tab
1. Click the green Reload button
1. Send a valid POST request to https://<USERNAME>.pythonanywhere.com/webhook/<ACCESS_TOKEN> and see if it reaches OANDA

## Add alerts to TradingView
1. Add an alert to whatever condition you want, for example [a custom-built `study`](https://www.tradingview.com/pine-script-docs/en/v4/annotations/Alert_conditions.html)
1. Check the __Webhook URL__ box and paste the URL of your PythonAnywhere webhook including access token
1. Make sure that the __Message__ is a valid JSON containing at least:
  ```json
  {"action":"buy","ticker":"{{ticker}}","close":{{close}}}
  ```
  Note:
  * The server is built in such a way that what TradingView sends as `{{ticker}}` is translated to what OANDA expects as `instrument` and `close` is translated to `price`
  * If you want to sell every position you have for this ticker, use "`sell`" as `action`

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