MAINT minor refactoring ENH sample json strategy

examples/simple_strategy.json

@@ -0,0 +1,13 @@
+{
+    "name": "Sample JSON Strategy",
+    "description": "Sample JSON Strategy",
+    "ta": [
+        {"kind": "ema", "length": 8, "sma": true},
+        {"kind": "ema", "length": 21, "talib": true},
+        {"kind": "sma", "length": 50, "talib": true},
+        {"kind": "sma", "length": 200, "talib": true},
+        {"kind": "sma", "close": "volume", "length": 20, "talib": true},
+        {"kind": "rsi", "talib": true},
+        {"kind": "obv"}
+    ]
+}

pandas_ta/candles/cdl_pattern.py

@@ -23,7 +23,16 @@ ALL_PATTERNS = [
 ]
 
 
-def cdl_pattern(open_, high, low, close, name: Union[str, Sequence[str]]="all", scalar=None, offset=None, **kwargs) -> DataFrame:
+def cdl_pattern(
+    open_,
+    high,
+    low,
+    close,
+    name: Union[str, Sequence[str]]="all",
+    scalar=None,
+    offset=None,
+    **kwargs
+    ) -> DataFrame:
     """TA Lib Candle Patterns
 
     A wrapper around all TA Lib's candle patterns.

pandas_ta/core.py

@@ -53,7 +53,7 @@ class Strategy:
     name: str  # = None # Required.
     ta: List = field(default_factory=list)  # Required.
     # Helpful. More descriptive version or notes or w/e.
-    description: str = "TA Description"
+    description: str = ""
     # Optional. Gets Exchange Time and Local Time execution time
     created: str = get_time(to_string=True)
 

pandas_ta/utils/_stats.py

@@ -70,7 +70,6 @@ def inv_norm(value: Tuple[float, int]) -> Tuple[float, None]:
     If the user has package "statsmodels" installed, the method will call and
     return norm().ppf(value)
 
-
     Source: https://github.com/scipy/scipy/blob/701ffcc8a6f04509d115aac5e5681c538b5265a2/scipy/special/cephes/ndtri.c
     """
 

pandas_ta/utils/_time.py

@@ -97,8 +97,8 @@ def total_time(df: DataFrame, tf: str = "years") -> float:
 
 
 def to_utc(df: DataFrame) -> DataFrame:
-    """Either localizes the DataFrame Index to UTC or it applies
-    tz_convert to set the Index to UTC.
+    """Either localizes the DataFrame Index to UTC or it applies tz_convert to
+    set the Index to UTC.
     """
     if not df.empty:
         try:

pandas_ta/utils/data/processes.py

@@ -36,8 +36,8 @@ class sample(object):
     This is a Numpy and stochastics package wrapper Class that easily creates
     stochastic process realization with or without stochastic noise.
 
-    To get the most out of sample(), install the _stochastic_
-        package: pip install stochastic.
+    To get the most out of sample(), install the 'stochastic' package:
+        $ pip install stochastic
 
     The following stochastic package noise and processes have been implemented:
     * Noise[9]: Blue "b", Brownian "br, Fractal Gaussian "fg", Gaussian "g",

tests/config.py

@@ -18,7 +18,7 @@ sample_data = read_csv(
 )
 sample_data.set_index(DatetimeIndex(sample_data["date"]), inplace=True, drop=True)
 sample_data.drop("date", axis=1, inplace=True)
-sample_data = sample_data[:200]
+# sample_data = sample_data[:200]
 
 
 def error_analysis(df, kind, msg, icon=INFO, newline=True):