v0.1.18

0.1.18

• Added ohlc parameter (default None) to plot_support_resistance and
  plot_sup_res_date; accepts a (opens, highs, lows, closes) 4-tuple of
  numeric sequences and renders the price series as OHLC candlestick bars using
  matplotlib Rectangle patches (green = bullish, red = bearish) while all
  trendline overlays continue to work unchanged; hist still controls extrema
  detection so the existing API is fully preserved (closes #29)

0.1.17

• Added get_horizontal_levels(h, pctbound=0.05, extmethod=..., accuracy=2, min_touches=2) function; detects flat support and resistance zones by
  clustering pivot prices within a relative tolerance, returning
  (support_levels, resistance_levels) where each entry is
  (mean_price, touch_count, pivot_indices); accepts the same
  h formats as :func:calc_support_resistance (closes #13)

0.1.16

• Added extend_to_end parameter (default False) to
  plot_support_resistance and plot_sup_res_date; when True, trend
  lines are drawn all the way to the last bar rather than stopping at the first
  price-crossing or out-of-range breakout, matching the community workaround
  described in #17 (closes #17)

0.1.15

• Added ax parameter (default None) to plot_support_resistance and
  plot_sup_res_date; when an existing matplotlib.axes.Axes object is
  supplied the plot is drawn into that axes, enabling embedding in subplots;
  when None the previous behaviour (create a new figure) is preserved
  (closes #26)

0.1.14

• Added include_edge parameter (default False) to get_extrema and
  calc_support_resistance; when True, the first and last data points are
  eligible to be detected as local extrema via one-sided comparison with their
  sole neighbour, eliminating the one-bar lag at series boundaries (closes #19)

0.1.13

• Added show_average parameter (default True) to
  plot_support_resistance and plot_sup_res_date; set to False to
  hide the average support/resistance lines from the plot (closes #16)
• Added upfront validation of the accuracy parameter in
  calc_support_resistance and get_extrema: raises a clear
  ValueError('accuracy must be a positive even integer') instead of a
  cryptic findiff traceback when an odd or non-integer value is supplied;
  the default remains accuracy=2 (closes #25)

0.1.12

• calc_support_resistance and get_extrema now accept string names for their
  integer method constants (e.g. method='METHOD_NCUBED' in addition to
  method=METHOD_NCUBED); invalid strings raise a clear ValueError
  (closes #14)
• Added pandas_to_ohlc(df, low_col=None, high_col=None, close_col=None) helper
  that converts any OHLC pandas DataFrame (yfinance, ccxt, or custom) into the
  (low_series, high_series) tuple expected by trendln functions;
  auto-detects standard column names case-insensitively (closes #15)

0.1.11

• Added get_levels(calc_result, x, price, n=3) function: given a pre-computed
  calc_support_resistance result, evaluates all trend lines at a given series
  index to return the nearest support levels, nearest resistance levels (each as
  (level, strength, slope, intercept) sorted by proximity) and the
  risk-to-reward ratios of each resistance level versus the nearest support
  (closes #11)
• Added title, y_axis_label, and series_label parameters to plot_support_resistance and plot_sup_res_date for customizable plot titles, y-axis labels, and series legend labels (thanks xeonvs)