feat: add Candlestick Patterns deepening (B14, 6 indicators) (#209)

B14 of the family-deepening roadmap — six candlestick patterns (479 -> 485), all in the **Candlestick Patterns** family.

**Fixed-lookback (candle-pattern macro bindings, neutral 0.0 during warmup):**
- **Tristar** — three-doji star reversal.
- **Harami Cross** — Harami whose second candle is a contained doji.
- **Tower Top/Bottom** — tall bar, small pause, tall opposite bar.

**Windowed / parameterized (hand-bound, `candle -> f64`):**
- **Frying Pan Bottom** — rounded U-shaped accumulation base, recovery-confirmed.
- **Dumpling Top** — rounded dome-shaped distribution top, breakdown-confirmed.
- **New Price Lines** — run of N consecutive new closing highs (+1) / lows (-1).

Window/Gap (Rising-Falling) dropped (SKIP — existing gap coverage). Wiring complete across core, Python, Node, WASM, fuzz, tests, README + docs counter (485) and CHANGELOG. Verified: core 3966 + doc 435, clippy clean, node 560, python 922.
This commit is contained in:
kingchenc
2026-06-08 02:29:24 +02:00
committed by GitHub
parent d16df1e224
commit 943825d6a0
20 changed files with 1979 additions and 48 deletions
@@ -382,6 +382,30 @@ def test_relative_strength_streaming_matches_batch():
# 6-tuple candle; the batch helper takes only the columns it needs.
CANDLE_SCALAR = {
"FryPanBottom": (
lambda: ta.FryPanBottom(9),
lambda ind, h, l, c, v: ind.batch(h, l, c),
),
"NewPriceLines": (
lambda: ta.NewPriceLines(5),
lambda ind, h, l, c, v: ind.batch(h, l, c),
),
"DumplingTop": (
lambda: ta.DumplingTop(9),
lambda ind, h, l, c, v: ind.batch(h, l, c),
),
"TowerTopBottom": (
lambda: ta.TowerTopBottom(),
lambda ind, h, l, c, v: ind.batch(c, h, l, c),
),
"HaramiCross": (
lambda: ta.HaramiCross(),
lambda ind, h, l, c, v: ind.batch(c, h, l, c),
),
"Tristar": (
lambda: ta.Tristar(),
lambda ind, h, l, c, v: ind.batch(c, h, l, c),
),
"ThreeLineBreak": (
lambda: ta.ThreeLineBreak(3),
lambda ind, h, l, c, v: ind.batch(h, l, c),
@@ -3278,6 +3302,27 @@ def test_equivolume_reference():
def test_candle_volume_reference():
t = ta.CandleVolume(20)
def test_tristar_reference():
t = ta.Tristar()
assert t.update((100.0, 101.0, 99.0, 100.02, 1.0, 0)) == pytest.approx(0.0)
assert t.update((105.0, 106.0, 104.0, 105.02, 1.0, 1)) == pytest.approx(0.0)
assert t.update((100.0, 101.0, 99.0, 100.02, 1.0, 2)) == pytest.approx(-1.0)
def test_harami_cross_reference():
t = ta.HaramiCross()
assert t.update((110.0, 110.2, 99.8, 100.0, 1.0, 0)) == pytest.approx(0.0)
assert t.update((105.0, 106.0, 104.0, 105.02, 1.0, 1)) == pytest.approx(1.0)
def test_tower_top_bottom_reference():
t = ta.TowerTopBottom()
assert t.update((100.0, 110.1, 99.9, 110.0, 1.0, 0)) == pytest.approx(0.0)
assert t.update((105.0, 107.0, 103.0, 105.1, 1.0, 1)) == pytest.approx(0.0)
assert t.update((110.0, 110.1, 99.9, 100.0, 1.0, 2)) == pytest.approx(-1.0)
# --- Lifecycle ------------------------------------------------------------