min_factor: float = 0.5,
max_factor: float = 1.5,
) -> float:
- natr_values = get_natr_values(natr_period)
-
start = max(0, pos - lookback_period)
end = min(pos + 1, n)
if start >= end:
return (min_factor + max_factor) / 2
+ natr_values = get_natr_values(natr_period)
natr_pos = natr_values[pos]
lookback_natr = natr_values[start:end]
median_natr = np.median(lookback_natr)
min_value: float = 0.3,
max_value: float = 0.7,
) -> float:
- natr_values = get_natr_values(natr_period)
-
start = max(0, pos - lookback_period)
end = min(pos + 1, n)
if start >= end:
return min_value
+
+ natr_values = get_natr_values(natr_period)
natr_pos = natr_values[pos]
lookback_natr = natr_values[start:end]
natr_min = np.min(lookback_natr)
min_factor: float = 0.5,
max_factor: float = 1.5,
) -> float:
- natr_values = get_natr_values(natr_period)
-
start = max(0, pos - lookback_period)
end = min(pos + 1, n)
if start >= end:
return (min_factor + max_factor) / 2
+ natr_values = get_natr_values(natr_period)
natr_pos = natr_values[pos]
lookback_natr = natr_values[start:end]
median_natr = np.median(lookback_natr)
min_value: float = 0.3,
max_value: float = 0.7,
) -> float:
- natr_values = get_natr_values(natr_period)
-
start = max(0, pos - lookback_period)
end = min(pos + 1, n)
if start >= end:
return min_value
+
+ natr_values = get_natr_values(natr_period)
natr_pos = natr_values[pos]
lookback_natr = natr_values[start:end]
natr_min = np.min(lookback_natr)