3. Develop a Strategy From Scratch With Pure Backtesting or Live Trading Template?
For code/output blocks: Use ``` (aka backtick or grave accent) in a single line before and after the block. See: http://commonmark.org/help/

Develop a Strategy From Scratch With Pure Backtesting or Live Trading Template?

  • N

    Hi,

    I would like to use backtrader for live trading.

    My preferred broker would be OANDA and I will use the backtrader-oandav20 project to connect with OANDA.

    The supplied sample test script oandav20test.py in backtrader-oandav20 is quite close to the samples/oandatest/oandatest.py script in backtrader.

    Presently, I wonder how I can develop my strategy code. I would like to run it first with synthetic csvdata that reflects what I hope the real (live) price data will look like in reality.

    My question is:

    Should I take a simple pure backtesting example like one of the quickstart tutorial to start with, because I can rely on the csv data import easily?

    Or is it better to use oandatest.py respectively oandav20test.py, because then I am closer to real live trading already? And if I go this way: how would I have to call oandatest.py to feed it with pure csvdata?

    Thanks in advance!

    0
  • B
    administrators

    The logic for the strategy has nothing to do with brokers or data feeds and that means you can choose the path that best suits you.

    0
  • N

    @newesttrader said in Develop a Strategy From Scratch With Pure Backtesting or Live Trading Template?:

    oandatest

    Hi,

    thanks for your reply.

    But I just struggle with the way I have to call samples/oandatest/oandatest.py to do a pure csv based backtesting.

    0
    B
     1 Reply
  • D

    If you want to do backtesting with csv files, you mostly won't need to use oanda.

    Set up your csv feeds, no need to use oanda broker or oanda store. You would use the oanda store for fetching data from oanda and do live trading with oanda with your strategies.

    data = btfeed.GenericCSVData(
    dataname='OANDA_EUR_USD_M5_MID.csv',
    name="primary",
    nullvalue=0.0,
    headers=True,
    timeframe=bt.TimeFrame.Minutes,
    compression=5,
    dtformat=('%Y-%m-%dT%H:%M:%S.%fZ'),
    datetime=0,
    time=-1,
    open=1,
    high=2,
    low=3,
    close=4,
    volume=5,
    openinterest=-1
)
cerebro.adddata(data)
    0
  • B
    administrators

    @newesttrader said in Develop a Strategy From Scratch With Pure Backtesting or Live Trading Template?:

    But I just struggle with the way I have to call samples/oandatest/oandatest.py to do a pure csv based backtesting.

    Because that is a sample meant to test the functionalities in Oanda and not a one-script-fits-all-for-universal-backtesting-and-trading-machine-for-printing-free-money-with-no-effort*

    There are tens of samples. Pick one to have your skeleton or create your own. As stated above: the logic in a Strategy class is independent of data feeds and brokers, be it for backtesting or trading.

    0
  • D

    You may find some starting information in the backtrader documentation:

    https://www.backtrader.com/docu/operating.html

    Basically, backtrader is doing all the magic, the store / broker just executes the requests created in backtrader or feeds backtrader with data coming in.

    If you do backtesting, you would use a different broker than in live trading.

    When working on a strategy, you could set up a backtesting script, which is using csv files. this data is pushed to your strategy when backtrader is running.
    When your strategy creates a buy / sell / close request, this will be processed in the broker. If you do not do live trading, then you will use a different broker (if you use the oanda broker on backtesting, it would send the orders to oanda with prices from backtesting, not the live prices).

    That is one of the great things about backtrader, being so flexible.

    0
    N
     1 Reply
  • N

    thanks for your comments and input!

    0