Porting strategies from zwpython to Backtrader. Original strategies are located in zwStrategy.py in zwpython.

Strategy list:

1. Tim0Strategy (tim0Trad)
2. SmaStrategy (SMA_sta)
3. CmaStrategy (CMA_sta)
4. VwapStrategy (VWAP_sta)
5. BBandsStrategy (BBANDS_sta)
6. TurStrategy (tur10)
7. MacdV1Strategy (macd10)
8. MacdV2Strategy (macd20)
9. KdjV1Strategy (kdj10)
10. KdjV2Strategy (kdj20)
11. RsiStrategy (rsi10)

• Python 2.7
• Python 3.2 / 3.3/ 3.4 / 3.5

Errors could occur in newer version python.

clone repo:

git clone https://github.com/maglili/zwpy2bt.git

install requirements:

pip install backtrader[plotting]

python main.py

If you use 600401_yahoo.csv as sample data, then reverse parameter in datafeed should be "True", because 600401_yahoo.csv is decreased order.

    data = bt.feeds.YahooFinanceCSVData(
        dataname=datapath,
        fromdate=datetime.datetime(2015, 1, 1),
        todate=datetime.datetime(2015, 12, 31),
        reverse=True,
    )

The Strategy package consists of 3 modules.

• BaseStrategyFrame
• utils
• zwpy_sta

./stock-zwpython/
├── main.py
├── readme.md
├── result.png
├── sample_data
│   ├── 600401_yahoo.csv
│   ├── orcl-1995-2014.txt
│   └── readme.md
└── Strategy
    ├── BaseStrategyFrame.py
    ├── __init__.py
    ├── utils.py
    └── zwpy_sta.py

2 directories, 10 files

BaseStrategyFrame: Define the base structure of Strategy class, BaseStrategyFrame is inheriting the bt.Strategy class, and all strategies in zwpy_sta.py are inheriting the BaseStrategyFrame class.

utils: Define class / function tools.

zwpy_sta: Define various strategies from zwpython. Here, strategies are sub-class inherit from BaseStrategyFrame. This can help user reduce code works because strategies are now only need fewer code.

A Comparison experiment is conducted and the result (stocks value + balances) as shown on following table.

Experiment setting:

Initial cash: 10000
Data: 600401_yahoo.csv
Backtest period: 2015, 1, 1 ~
Sizer: PercentSizerInt, percents=90

Original result:

After handing decimal place problem:

Remove round process in backtest.

After handing formula problem:

To correct the VWAP formula in zwpython.

There are some bugs in zwpython and I already fixed some of them, so you might not have a same result as the table above.

The difference comes from decimal place problem in technical index calculation (e.g. VWAP, MACD, KDJ,...), say RSI = 93.700 vs RSI = 96.849, will have different decision in strategy. That merely a order difference b/t a day can cause a big different result, the problem cannot solve by merely remove rounding process that in backtest in zwpython.

The result of backtrader might more accurate since it still maintaining by github community (6.6k star). Technical index in Backtrader are calculated by bt.indicator or TA-lib package, which offer a reliable result, while in zwpython, Technical index are calculated by functions that created by creator of zwpython, there might exist some bugs (and there are indeed some bugs in some scripts in zwpython).