bid and ask sizes for positive skew calculated inversely

[meetkakadiya44]

: smm/quote_generators/plain.py

` def generate_positive_skew_quotes(self, skew: float, spread: float) -> List[Tuple]:
"""
Generate positively skewed bid/ask quotes, with the intention to fill
more on the bid side (buy more) than the ask side (sell less). A larger strategy
breakdown can be found in the README.md, or at the top of this class.

    Parameters
    ----------
    skew : float
        A value > 0 predicting the future price over some time horizon.

    spread : float
        A value in dollars of minimum price deviation over some time horizon.

    Returns
    -------
    List[Dict]
        A list of single quotes.
    """
    half_spread = spread / 2
    aggressiveness = self.params["aggressiveness"] * (skew**0.5)

    best_bid_price = self.mid - (half_spread * (1.0 - aggressiveness))
    best_ask_price = best_bid_price + spread

    bid_prices = nbgeomspace(
        start=best_bid_price,
        end=best_bid_price - (spread * 5),
        n=self.total_orders // 2,
    )

    ask_prices = nbgeomspace(
        start=best_ask_price,
        end=best_ask_price + (spread * 5),
        n=self.total_orders // 2,
    )

    clipped_r = 0.5 + nbclip(skew, 0.0, 0.5)  # NOTE: Geometric ratio cant exceed 1.0

    bid_sizes = self.max_position * generate_geometric_weights(
        num=self.total_orders // 2, r=clipped_r, reverse=True
    )

    ask_sizes = self.max_position * generate_geometric_weights(
        num=self.total_orders // 2,
        r=0.5 + (clipped_r ** (2 + aggressiveness)),
        reverse=True,
    )

    return self.prepare_orders(bid_prices, bid_sizes, ask_prices, ask_sizes)`