File size: 5,015 Bytes
0821f38 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 | """Telegram HTML formatter for LiteSignal."""
from __future__ import annotations
from .analyzer import LiteSignal
_SIG_EMOJI = {1.0: "🟢", -1.0: "🔴", 0.0: "⚫"}
_SIG_LABEL = {1.0: "LONG (up-trend)", -1.0: "SHORT (down-trend)", 0.0: "FLAT (no signal)"}
# Period labels per level per timeframe
_PERIODS: dict[str, list[str]] = {
"1h": ["2–4h", "4–8h", "8–16h", "16–32h", "32–64h", "64–128h", ">128h"],
"4h": ["8–16h", "16–32h", "1–3d", "3–5d", "5–11d", "11–21d", ">21d"],
"1d": ["2–4d", "4–8d", "8–16d", "16–32d", "32–64d", "64–128d", ">128d"],
"1wk": ["2–4wk", "4–8wk", "8–16wk", "4–8mo", "8–16mo", "16–32mo", ">32mo"],
}
_LEVEL_LABELS = ["D1", "D2", "D3", "D4", "D5", "D6", "A6"]
_SCALE_DESC = [
"microstructure",
"short reversals",
"news swings",
"monthly momentum",
"quarterly trend",
"macro positioning",
"secular drift",
]
def _fmt_price(p: float) -> str:
if p >= 1000:
return f"{p:,.2f}"
if p >= 10:
return f"{p:.2f}"
if p >= 1:
return f"{p:.4f}"
return f"{p:.6f}"
def _slope_bar(slope: float, scale: float = 5e-5) -> str:
"""5-char visual bar: left=bear, centre=neutral, right=bull."""
norm = max(-1.0, min(1.0, slope / scale))
filled = int((norm + 1) / 2 * 5)
bar = "░" * 5
bar = bar[:filled] + "█" + bar[filled + 1:]
return bar[:5]
def format_lite(sig: LiteSignal) -> str:
sig_emoji = _SIG_EMOJI.get(sig.raw_signal, "❓")
sig_label = _SIG_LABEL.get(sig.raw_signal, "UNKNOWN")
lines: list[str] = []
# ── minimal summary ────────────────────────────────────────────────────────
lines.append(
f"🌊 <b>{sig.ticker}</b> | <code>{sig.timeframe}</code> | "
f"{sig_emoji} <b>{sig_label}</b>"
)
lines.append(
f"Price: <b>{_fmt_price(sig.current_price)}</b> <i>⏱ close last bar</i> "
f"Vol(60d): <b>{sig.vol_ann:.1%}</b>"
)
d_sig_label = "+".join(f"D{j}" for j in sorted(sig.sig_levels))
slope_dir = "↑" if sig.midband_slope > 0 else ("↓" if sig.midband_slope < 0 else "→")
lines.append(
f"Mid-band ({d_sig_label}) slope: <b>{sig.midband_slope:+.2e}</b> {slope_dir} "
f"Sized pos: <b>{sig.sized_position:+.2f}×</b>"
)
lines.append(
f"Lookback: {sig.bars_loaded} bars | "
f"{sig.last_bar_time.strftime('%Y-%m-%d') if hasattr(sig.last_bar_time, 'strftime') else sig.last_bar_time}"
)
lines.append("")
# ── per-level breakdown ────────────────────────────────────────────────────
lines.append("🔬 <b>MODWT Decomposition (sym8, all levels)</b>")
periods = _PERIODS.get(sig.timeframe, [""] * 7)
sig_set = {f"D{j}" for j in sig.sig_levels}
header = f"<code>{'Lvl':<4} {'Period':<10} {'Dir':<5} {'Slope bar':<7} {'Description'}</code>"
lines.append(header)
lines.append("<code>" + "─" * 48 + "</code>")
for i, label in enumerate(_LEVEL_LABELS):
direction = sig.level_signals.get(label, 0.0)
slope = sig.level_slopes.get(label, 0.0)
d_emoji = _SIG_EMOJI.get(direction, "⚫")
bar = _slope_bar(slope)
period = periods[i] if i < len(periods) else ""
desc = _SCALE_DESC[i] if i < len(_SCALE_DESC) else ""
is_signal = "◀" if label in sig_set else " "
lines.append(
f"<code>{label:<4} {period:<10} </code>{d_emoji}<code> [{bar}] {desc}{is_signal}</code>"
)
lines.append("")
lines.append(
f"<i>◀ signal levels ({d_sig_label}) | "
f"bar position: left=bear · right=bull</i>"
)
lines.append("")
# ── consensus note ────────────────────────────────────────────────────────
up = sum(1 for v in sig.level_signals.values() if v > 0)
down = sum(1 for v in sig.level_signals.values() if v < 0)
total = len(sig.level_signals)
lines.append(
f"Consensus: 🟢 {up}/{total} up · 🔴 {down}/{total} down · "
f"⚫ {total - up - down}/{total} flat"
)
lines.append("")
# ── warnings ──────────────────────────────────────────────────────────────
if sig.warnings:
lines.append("⚠️ <b>Warnings:</b>")
for w in sig.warnings:
lines.append(f" <i>{w}</i>")
lines.append("")
lines.append(
f"<i>{sig.timestamp.strftime('%Y-%m-%d %H:%M UTC')} | "
f"MODWT {d_sig_label} signal | no PyWavelets | not financial advice</i>"
)
return "\n".join(lines)
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