def decreasing(close,
length=None,
strict=None,
asint=None,
percent=None,
drift=None,
offset=None,
**kwargs):
"""Indicator: Decreasing"""
# Validate Arguments
length = int(length) if length and length > 0 else 1
strict = strict if isinstance(strict, bool) else False
asint = asint if isinstance(asint, bool) else True
close = verify_series(close, length)
drift = get_drift(drift)
offset = get_offset(offset)
percent = float(percent) if is_percent(percent) else False
if close is None: return
# Calculate Result
close_ = (1 - 0.01 * percent) * close if percent else close
if strict:
# Returns value as float64? Have to cast to bool
decreasing = close < close_.shift(drift)
for x in range(3, length + 1):
decreasing = decreasing & (close.shift(x - (drift + 1)) <
close_.shift(x - drift))
decreasing.fillna(0, inplace=True)
decreasing = decreasing.astype(bool)
else:
decreasing = close_.diff(length) < 0
if asint:
decreasing = decreasing.astype(int)
# Offset
if offset != 0:
decreasing = decreasing.shift(offset)
# Handle fills
if "fillna" in kwargs:
decreasing.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
decreasing.fillna(method=kwargs["fill_method"], inplace=True)
# Name and Categorize it
_percent = f"_{0.01 * percent}" if percent else ''
_props = f"{'S' if strict else ''}DEC{'p' if percent else ''}"
decreasing.name = f"{_props}_{length}{_percent}"
decreasing.category = "trend"
return decreasing
def cdl_doji(
open_,
high,
low,
close,
length=None,
factor=None,
scalar=None,
asint=True,
offset=None,
**kwargs,
):
"""Candle Type: Doji"""
# Validate Arguments
open_ = verify_series(open_)
high = verify_series(high)
low = verify_series(low)
close = verify_series(close)
length = int(length) if length and length > 0 else 10
factor = float(factor) if is_percent(factor) else 10
scalar = float(scalar) if scalar else 100
offset = get_offset(offset)
naive = kwargs.pop("naive", False)
# Calculate Result
body = real_body(open_, close).abs()
hl_range = high_low_range(high, low).abs()
hl_range_avg = sma(hl_range, length)
doji = body < 0.01 * factor * hl_range_avg
if naive:
doji.iloc[:length] = body < 0.01 * factor * hl_range
if asint:
doji = scalar * doji.astype(int)
# Offset
if offset != 0:
doji = doji.shift(offset)
# Handle fills
if "fillna" in kwargs:
doji.fillna(kwargs["fillna"], inplace=True)
if "fill_method" in kwargs:
doji.fillna(method=kwargs["fill_method"], inplace=True)
# Name and Categorize it
doji.name = f"CDL_DOJI_{length}_{0.01 * factor}"
doji.category = "candles"
return doji