config: reformat config comments

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c9s 2022-09-11 17:38:26 +08:00
parent a425c940fa
commit ad6f07a40c
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@ -63,20 +63,24 @@ exchangeStrategies:
# when EMA goes up (the last > the previous), allow buy and sell
# when EMA goes down (the last < the previous), disable buy, allow sell
# uncomment this to enable it:
#
trendEMA:
interval: 1d
window: 7
maxGradient: 1.5
minGradient: 1.01
# EXPERIMENTAL
# Dynamic spread is an experimental feature. Use at your own risk!
# ==================================================================
# Dynamic spread is an experimental feature. it will override the fixed spread settings above.
#
# dynamicSpread enables the automatic adjustment to bid and ask spread.
# Choose one of the scaling strategy to enable dynamicSpread:
# - amplitude: scales by K-line amplitude
# - weightedBollWidth: scales by weighted Bollinger band width (explained below)
# ==================================================================
#
# =========================================
# dynamicSpread with amplitude
# =========================================
# dynamicSpread:
# amplitude: # delete other scaling strategy if this is defined
# # window is the window of the SMAs of spreads
@ -100,6 +104,10 @@ exchangeStrategies:
# # when in up band, holds 0.05 by maximum
# range: [ 0.001, 0.002 ]
#
# =========================================
# dynamicSpread with weightedBollWidth
# =========================================
# dynamicSpread:
# # weightedBollWidth scales spread base on weighted Bollinger bandwidth ratio between default and neutral bands.
# #
# # Given the default band: moving average bd_mid, band from bd_lower to bd_upper.
@ -113,8 +121,8 @@ exchangeStrategies:
# # - To ask spread, the higher neutral band get greater ratio
# # - To bid spread, the lower neutral band get greater ratio
# # The weighted ratio always positive, and may be greater than 1 if neutral band is wider than default band.
# weightedBollWidth: # delete other scaling strategy if this is defined
#
# weightedBollWidth: # delete other scaling strategy if this is defined
# # sensitivity is a factor of the weighting function: 1 / (1 + exp(-(x - bd_mid) * sensitivity / (bd_upper - bd_lower)))
# # A positive number. The greater factor, the sharper weighting function. Default set to 1.0 .
# sensitivity: 1.0