diff --git a/bindings/python/python/wickra/__init__.pyi b/bindings/python/python/wickra/__init__.pyi
index 4c3100f3..236b480f 100644
--- a/bindings/python/python/wickra/__init__.pyi
+++ b/bindings/python/python/wickra/__init__.pyi
@@ -135,3 +135,202 @@ class OBV:
     def warmup_period(self) -> int: ...
     @property
     def value(self) -> Optional[float]: ...
+
+class DEMA:
+    def __init__(self, period: int) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+    @property
+    def period(self) -> int: ...
+
+class TEMA:
+    def __init__(self, period: int) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+    @property
+    def period(self) -> int: ...
+
+class HMA:
+    def __init__(self, period: int) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+    @property
+    def period(self) -> int: ...
+
+class KAMA:
+    def __init__(self, er_period: int = 10, fast: int = 2, slow: int = 30) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class CCI:
+    def __init__(self, period: int = 20) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+    @property
+    def period(self) -> int: ...
+
+class ROC:
+    def __init__(self, period: int) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+    @property
+    def period(self) -> int: ...
+
+class WilliamsR:
+    def __init__(self, period: int = 14) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class ADX:
+    def __init__(self, period: int = 14) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+    ) -> NDArray[np.float64]:
+        """Returns shape ``(n, 3)`` with columns ``[plus_di, minus_di, adx]``."""
+        ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class MFI:
+    def __init__(self, period: int = 14) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+        volume: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class TRIX:
+    def __init__(self, period: int) -> None: ...
+    def update(self, value: float) -> Optional[float]: ...
+    def batch(self, prices: NDArray[np.float64]) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class PSAR:
+    def __init__(
+        self, af_start: float = 0.02, af_step: float = 0.02, af_max: float = 0.20
+    ) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class Keltner:
+    def __init__(
+        self, ema_period: int = 20, atr_period: int = 10, multiplier: float = 2.0
+    ) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+    ) -> NDArray[np.float64]:
+        """Returns shape ``(n, 3)`` with columns ``[upper, middle, lower]``."""
+        ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class Donchian:
+    def __init__(self, period: int = 20) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[Tuple[float, float, float]]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+    ) -> NDArray[np.float64]:
+        """Returns shape ``(n, 3)`` with columns ``[upper, middle, lower]``."""
+        ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class VWAP:
+    def __init__(self) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+        close: NDArray[np.float64],
+        volume: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class AwesomeOscillator:
+    def __init__(self, fast: int = 5, slow: int = 34) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[float]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+    ) -> NDArray[np.float64]: ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...
+
+class Aroon:
+    def __init__(self, period: int = 14) -> None: ...
+    def update(self, candle: CandleLike) -> Optional[Tuple[float, float]]: ...
+    def batch(
+        self,
+        high: NDArray[np.float64],
+        low: NDArray[np.float64],
+    ) -> NDArray[np.float64]:
+        """Returns shape ``(n, 2)`` with columns ``[up, down]``."""
+        ...
+    def reset(self) -> None: ...
+    def is_ready(self) -> bool: ...
+    def warmup_period(self) -> int: ...