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update docs (fix typos)

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Matthias 2024-03-24 11:44:55 +01:00
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6
docs/bot-basics.md
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@ -43,7 +43,7 @@ By default, the bot loop runs every few seconds (`internals.process_throttle_sec
* Fetch open trades from persistence.
* Update trades open order state from exchange
* Call `order_filled()` stategy callback for filled orders.
* Call `order_filled()` strategy callback for filled orders.
* Calculate current list of tradable pairs.
* Download OHLCV data for the pairlist including all [informative pairs](strategy-customization.md#get-data-for-non-tradeable-pairs)
This step is only executed once per Candle to avoid unnecessary network traffic.
@ -88,10 +88,10 @@ This loop will be repeated again and again until the bot is stopped.
* In Margin and Futures mode, `leverage()` strategy callback is called to determine the desired leverage.
* Determine stake size by calling the `custom_stake_amount()` callback.
* Check position adjustments for open trades if enabled and call `adjust_trade_position()` to determine if an additional order is requested.
* Call `order_filled()` stategy callback for filled entry orders.
* Call `order_filled()` strategy callback for filled entry orders.
* Call `custom_stoploss()` and `custom_exit()` to find custom exit points.
* For exits based on exit-signal, custom-exit and partial exits: Call `custom_exit_price()` to determine exit price (Prices are moved to be within the closing candle).
* Call `order_filled()` stategy callback for filled exit orders.
* Call `order_filled()` strategy callback for filled exit orders.
* Generate backtest report output
!!! Note

2
docs/strategy-callbacks.md
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@ -1028,7 +1028,7 @@ Defining a stoploss of 10% at 10x leverage would trigger the stoploss with a 1%
The `order_filled()` callback may be used by strategy developer to perform specific actions based on current trade state after an order is filled.
Assuming that your strategy need to store the high value of the candle at trade entry, this is possible with this callback as the following exemple show.
Assuming that your strategy need to store the high value of the candle at trade entry, this is possible with this callback as the following example show.
``` python
class AwesomeStrategy(IStrategy):