Summary
WoodiePivotPoints is RTTA's streaming Woodie pivot set. Levels for the current
bar are computed from the previous bar's high, low, and close with double weight
on close: \(PP = (H + L + 2C)/4\).
Update API
result = rtta.WoodiePivotPoints(fillna=True).update(high, low, close)
# result.pp, result.r1, result.r2, result.r3, result.s1, result.s2, result.s3
The first bar only seeds previous HLC. With fillna=True, all seven fields
return that bar's close; with fillna=False, they return NaN.
Theory Of Operation
Woodie pivots place more weight on the previous close than classic floor pivots.
Support and resistance levels are then derived from that pivot and the previous
range, similar to classic R1/S1/R2/S2 formulas, with R3/S3 following the same
extension pattern as RTTA's classic PivotPoints.
Recurrence
Let \(H_{t-1}, L_{t-1}, C_{t-1}\) be the previous bar's high, low, and close, and let \(R = H_{t-1} - L_{t-1}\).
After emitting levels, RTTA sets previous HLC to the current bar's \(H_t, L_t, C_t\).
Implementation Notes
The recurrence is implemented in src/rtta/indicator.cpp in
class WoodiePivotPoints. The result type is PivotPointsResult with fields
pp, r1, r2, r3, s1, s2, s3.