Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).
Then uncomment indicators you need.
!!! Note "Want more indicator examples?"
Look into the [user_data/strategies/test_strategy.py](https://github.com/freqtrade/freqtrade/blob/develop/user_data/strategies/test_strategy.py).<br/>
Then uncomment indicators you need.
### Buy signal rules
@ -187,7 +167,7 @@ This dict defines the minimal Return On Investment (ROI) a trade should reach be
It is of the following format, with the dict key (left side of the colon) being the minutes passed since the trade opened, and the value (right side of the colon) being the percentage.
```python
```python
minimal_roi = {
"40": 0.0,
"30": 0.01,
@ -227,7 +207,7 @@ stoploss = -0.10
```
This would signify a stoploss of -10%.
If your exchange supports it, it's recommended to also set `"stoploss_on_exchange"` in the order dict, so your stoploss is on the exchange and cannot be missed for network-problems (or other problems).
If your exchange supports it, it's recommended to also set `"stoploss_on_exchange"` in the order dict, so your stoploss is on the exchange and cannot be missed for network-problems (or other problems).
For more information on order_types please look [here](https://github.com/freqtrade/freqtrade/blob/develop/docs/configuration.md#understand-order_types).