#!/usr/bin/env python3 """DOLPHIN live status — v3 Polls HZ every 1s. Three gear rows: SIG / TRD / FIL (signal→fill path). Run: source /home/dolphin/siloqy_env/bin/activate && python dolphin_status.py Quit: Ctrl-C """ # v1 archived as dolphin_status_v1.py # v2 archived inline (added SIG+TRD rows) # v3: added FIL row — full signal→asset-pick→OBF→size→order visibility import json, os, time, sys from datetime import datetime, timezone import hazelcast CLEAR = "\033[2J\033[H" BOLD = "\033[1m"; DIM = "\033[2m"; RST = "\033[0m" GREEN = "\033[32m"; YELLOW = "\033[33m"; RED = "\033[31m"; CYAN = "\033[36m" ORANGE = "\033[38;5;208m" PC = {"APEX": GREEN, "STALKER": YELLOW, "TURTLE": ORANGE, "HIBERNATE": RED} SC = {"GREEN": GREEN, "DEGRADED": YELLOW, "CRITICAL": ORANGE, "DEAD": RED} # Thresholds from nautilus_event_trader.py VEL_DIV_THRESHOLD = -0.020 # signal fires when vel_div < this VEL_DIV_EXTREME = -0.050 # extreme bearish VEL_DIV_WARN = -0.010 # approaching threshold (yellow) VEL_DIV_CLOSE = -0.015 # nearly there (orange→yellow) VOL_P60 = 0.00026414 START_CAP = None CAP_PEAK = None def _age(ts): if not ts: return "?" s = time.time() - ts if s < 0: return "0s" if s < 60: return f"{s:.0f}s" if s < 3600: return f"{s/60:.0f}m" return f"{s/3600:.1f}h" def _bar(v, w=20): v = max(0.0, min(1.0, v)) return "█" * round(v * w) + "░" * (w - round(v * w)) def _get(hz, map_name, key): try: raw = hz.get_map(map_name).blocking().get(key) return json.loads(raw) if raw else {} except Exception: return {} # ── Gear items ──────────────────────────────────────────────────────────────── # Each returns (label, color, value_str) def _item(label, color, val=""): dot = f"{color}●{RST}" v = f":{val}" if val else "" return f"{dot}{DIM}{label}{v}{RST}" def _vel_item(vel_div): """vel_div colored by distance to threshold (-0.02).""" v = f"{vel_div:+.4f}" if vel_div <= VEL_DIV_EXTREME: return _item("vel_div", GREEN, v) # extremely bearish — great elif vel_div <= VEL_DIV_THRESHOLD: return _item("vel_div", GREEN, v) # past threshold — signal green elif vel_div <= VEL_DIV_CLOSE: return _item("vel_div", YELLOW, v) # -0.015 to -0.020 — close elif vel_div <= VEL_DIV_WARN: return _item("vel_div", ORANGE, v) # -0.010 to -0.015 — approaching elif vel_div < 0: return _item("vel_div", RED, v) # negative but far else: return _item("vel_div", RED, v) # positive — not bearish def signal_fired(vel_div, vol_ok, posture, acb_ready, exf_ok, halt): """True if ALL signal preconditions are green.""" return ( vel_div <= VEL_DIV_THRESHOLD and vol_ok and posture not in ("HIBERNATE", "TURTLE") and acb_ready and exf_ok and not halt ) def trade_can_execute(open_count, lev, abs_cap, daily_loss_ok, boost): return ( open_count == 0 # no open position already and lev < abs_cap # leverage headroom and daily_loss_ok and boost > 0 ) OB_IMBALANCE_BIAS = -0.09 # from engine config: ob_imbalance_bias def _best_fill_candidate(obf_universe): """Pick best SHORT candidate from OBF universe. Criteria: negative imbalance (bearish pressure) + high fill_probability + low spread. Returns (symbol, asset_dict) or (None, {}). """ candidates = [] for k, v in obf_universe.items(): if not isinstance(v, dict) or "fill_probability" not in v: continue candidates.append((k, v)) if not candidates: return None, {} # Score: fill_prob * (1 + bearish_imbalance_bonus) / (1 + spread_bps/10) def score(item): sym, a = item imb = float(a.get("imbalance", 0)) fp = float(a.get("fill_probability", 0)) sp = float(a.get("spread_bps", 99)) dq = float(a.get("depth_quality", 0)) # Bearish bias: reward negative imbalance, penalise positive imb_bonus = max(0.0, -imb) # 0..1 for imbalance in [-1,0] return fp * (1 + imb_bonus) * dq / max(0.1, sp) candidates.sort(key=score, reverse=True) return candidates[0] def fill_row(obf_universe, acb, eng): """Row 3: signal → asset-pick → OBF liquidity → size → ORDER.""" f_items = [] # ── Asset picker (IRP/ARS) ───────────────────────────────────────────── n_assets = int(obf_universe.get("_n_assets", 0) if obf_universe else 0) n_stale = int(obf_universe.get("_n_stale", 0) if obf_universe else 0) n_fresh = n_assets - n_stale f_items.append(_item("universe", GREEN if n_fresh >= 200 else (YELLOW if n_fresh >= 50 else RED), f"{n_fresh}/{n_assets}")) sym, ab = _best_fill_candidate(obf_universe) if sym: fill_p = float(ab.get("fill_probability", 0)) spread = float(ab.get("spread_bps", 99)) dq = float(ab.get("depth_quality", 0)) imb = float(ab.get("imbalance", 0)) depth = float(ab.get("depth_1pct_usd", 0)) # Best candidate asset asset_color = GREEN if fill_p >= 0.80 else (YELLOW if fill_p >= 0.50 else RED) f_items.append(_item("best", asset_color, sym[:6])) # OBF: fill probability f_items.append(_item("fill_p", GREEN if fill_p >= 0.85 else (YELLOW if fill_p >= 0.60 else RED), f"{fill_p:.2f}")) # OBF: spread f_items.append(_item("spread", GREEN if spread <= 3 else (YELLOW if spread <= 8 else RED), f"{spread:.1f}bps")) # OBF: depth quality f_items.append(_item("depth_q", GREEN if dq >= 0.5 else (YELLOW if dq >= 0.1 else RED), f"{dq:.2f}")) # OBF: imbalance direction (SHORT needs bearish = negative) imb_ok = imb < OB_IMBALANCE_BIAS # confirmed bearish pressure f_items.append(_item("imb", GREEN if imb_ok else YELLOW if imb < 0 else ORANGE if imb < 0.1 else RED, f"{imb:+.2f}")) # OBF: depth USD f_items.append(_item("depth", GREEN if depth >= 50_000 else (YELLOW if depth >= 10_000 else RED), f"${depth/1000:.0f}k")) else: f_items.append(_item("OBF", RED, "no data")) # ── Sizing — ACB boost × proxy_B prank ──────────────────────────────── # proxy_B prank not exposed in HZ snapshot; show ACB boost as sizing proxy boost = float(acb.get("boost", 1.0) if acb else 1.0) beta = float(acb.get("beta", 0.8) if acb else 0.8) f_items.append(_item("acb_boost", GREEN if boost >= 1.5 else (YELLOW if boost >= 1.0 else ORANGE), f"×{boost:.2f}")) f_items.append(_item("beta", GREEN if beta >= 0.7 else (YELLOW if beta >= 0.4 else RED), f"{beta:.2f}")) # ── ORDER indicator ──────────────────────────────────────────────────── # Would an order fire if signal were green right now? open_count = len(eng.get("open_positions") or []) lev = float(eng.get("current_leverage", 0) or 0) abs_c = float(eng.get("leverage_abs_cap", 9.0) or 9.0) order_ready = ( sym is not None and fill_p >= 0.60 and open_count == 0 and lev < abs_c and boost > 0 ) if sym else False if order_ready: f_items.append(f" {CYAN}{BOLD}◉ ORDER READY{RST}") else: f_items.append(f" {DIM}(order: waiting){RST}") return " ".join(f_items) def gear_rows(eng, safe, acb, exf, hb, obf_universe=None): """Return three formatted rows: SIGNAL, TRADE gates, FILL path.""" vel_div = float(eng.get("last_vel_div", 0) or 0) vol_ok = bool(eng.get("vol_ok", False)) posture = safe.get("posture") or eng.get("posture") or "?" halt = posture in ("HIBERNATE", "TURTLE") acb_boost_val = float(acb.get("boost", acb.get("cut", 0)) or 0) acb_ready = acb_boost_val > 0 # cut=0 means blocked exf_ok_count = int(exf.get("_ok_count", 0) if exf else 0) exf_ok = exf_ok_count >= 3 open_count = len(eng.get("open_positions") or []) lev = float(eng.get("current_leverage", 0) or 0) abs_cap = float(eng.get("leverage_abs_cap", 9.0) or 9.0) trades_ex = int(eng.get("trades_executed") or 0) hb_ts = hb.get("ts") hb_ok = bool(hb_ts and (time.time() - hb_ts) < 30) # ── SIGNAL ROW ──────────────────────────────────────────────────────────── # Preconditions for the engine to generate a signal s_items = [] s_items.append(_vel_item(vel_div)) # vol_ok — BTC vol above p60 s_items.append(_item("vol_ok", GREEN if vol_ok else RED, "✓" if vol_ok else "✗")) # posture gate pc = PC.get(posture, DIM) posture_ok = posture in ("APEX", "STALKER") s_items.append(_item("posture", GREEN if posture == "APEX" else (YELLOW if posture == "STALKER" else RED), posture)) # acb_ready s_items.append(_item("acb", GREEN if acb_ready else (ORANGE if acb_boost_val > 0 else RED), f"{acb_boost_val:.2f}")) # exf_ok — external factors pipeline s_items.append(_item("exf", GREEN if exf_ok else (YELLOW if exf_ok_count >= 1 else RED), f"{exf_ok_count}/5")) # halt gate s_items.append(_item("no_halt", GREEN if not halt else RED, "✓" if not halt else "HALT")) # heartbeat s_items.append(_item("hb", GREEN if hb_ok else RED, _age(hb_ts))) # ALL GREEN → fire indicator all_sig = signal_fired(vel_div, vol_ok, posture, acb_ready, exf_ok, halt) if all_sig: s_items.append(f" {GREEN}{BOLD}◉ SIGNAL{RST}") # ── TRADE ROW ───────────────────────────────────────────────────────────── # Additional gates that must pass before a matched signal becomes a fill t_items = [] # open positions t_items.append(_item("open_pos", GREEN if open_count == 0 else ORANGE, str(open_count))) # leverage headroom lev_pct = lev / abs_cap if abs_cap else 0 t_items.append(_item("lev", GREEN if lev_pct < 0.3 else (YELLOW if lev_pct < 0.7 else RED), f"{lev:.2f}x/{abs_cap:.0f}")) # regime_dd_halt t_items.append(_item("regime", GREEN if not halt else RED, "free" if not halt else "HALTED")) # Rm strength rm = float(safe.get("Rm", 0) or 0) t_items.append(_item("Rm", GREEN if rm >= 0.90 else (YELLOW if rm >= 0.70 else (ORANGE if rm >= 0.50 else RED)), f"{rm:.3f}")) # Cat5 (intraday drawdown contribution) c5 = float((safe.get("breakdown") or {}).get("Cat5", 1.0) or 1.0) t_items.append(_item("Cat5", GREEN if c5 >= 0.95 else (YELLOW if c5 >= 0.85 else (ORANGE if c5 >= 0.70 else RED)), f"{c5:.3f}")) # trades today t_items.append(_item("trades", GREEN if trades_ex < 20 else (YELLOW if trades_ex < 35 else ORANGE), str(trades_ex))) # ALL GREEN trade execute indicator daily_loss_ok = c5 > 0.50 # reasonable proxy — Cat5 tracks drawdown all_trade = all_sig and trade_can_execute(open_count, lev, abs_cap, daily_loss_ok, acb_boost_val) if all_trade: t_items.append(f" {CYAN}{BOLD}◉ TRADE{RST}") sig_row = " ".join(s_items) trade_row = " ".join(t_items) fill = fill_row(obf_universe or {}, acb, eng) return sig_row, trade_row, fill def render(hz): global START_CAP, CAP_PEAK eng = _get(hz, "DOLPHIN_STATE_BLUE", "engine_snapshot") cap = _get(hz, "DOLPHIN_STATE_BLUE", "capital_checkpoint") safe = _get(hz, "DOLPHIN_SAFETY", "latest") hb = _get(hz, "DOLPHIN_HEARTBEAT", "nautilus_flow_heartbeat") mh = _get(hz, "DOLPHIN_META_HEALTH", "latest") acb = _get(hz, "DOLPHIN_FEATURES", "acb_boost") exf = _get(hz, "DOLPHIN_FEATURES", "exf_latest") obf = _get(hz, "DOLPHIN_FEATURES", "obf_universe_latest") now = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC") capital = float(eng.get("capital", 0) or cap.get("capital", 0)) posture = safe.get("posture") or eng.get("posture") or "?" rm = float(safe.get("Rm", 0)) hb_ts = hb.get("ts") phase = hb.get("phase", "?") trader_up = hb_ts and (time.time() - hb_ts) < 30 trades = eng.get("trades_executed", "—") scans = eng.get("scans_processed", "—") lev = float(eng.get("current_leverage", 0)) notional= float(eng.get("open_notional", 0)) mhs_st = mh.get("status", "?") rm_meta = float(mh.get("rm_meta", 0)) if capital > 0: if START_CAP is None: START_CAP = capital if CAP_PEAK is None or capital > CAP_PEAK: CAP_PEAK = capital roi = ((capital - START_CAP) / START_CAP * 100) if START_CAP and capital else 0 dd = ((CAP_PEAK - capital) / CAP_PEAK * 100) if CAP_PEAK and capital < CAP_PEAK else 0 pc = PC.get(posture, DIM) sc = SC.get(mhs_st, DIM) tc = GREEN if trader_up else RED roi_c = GREEN if roi >= 0 else RED dd_c = RED if dd > 15 else (YELLOW if dd > 5 else GREEN) sig_row, trade_row, fill_row_str = gear_rows(eng, safe, acb, exf, hb, obf) svc = mh.get("service_status", {}) hz_ks = mh.get("hz_key_status", {}) L = [] L.append(f"{BOLD}{CYAN}🐬 DOLPHIN-NAUTILUS{RST} {DIM}{now}{RST}") L.append("─" * 60) # TRADER L.append(f"{BOLD}TRADER{RST} {tc}{'● LIVE' if trader_up else '● DOWN'}{RST}" f" phase:{phase} hb:{_age(hb_ts)}" f" scan:#{eng.get('last_scan_number','?')}") # ── SIGNAL → FILL GEARS ─────────────────────────────────────────────────── L.append(f" {DIM}SIG │{RST} {sig_row}") L.append(f" {DIM}TRD │{RST} {trade_row}") L.append(f" {DIM}FIL │{RST} {fill_row_str}") L.append("") # CAPITAL L.append(f"{BOLD}CAPITAL{RST} {CYAN}${capital:,.2f}{RST}" + (f" ROI:{roi_c}{roi:+.2f}%{RST} DD:{dd_c}{dd:.2f}%{RST}" f" start:${START_CAP:,.0f}" if START_CAP else "")) L.append(f" trades:{trades} scans:{scans} bar:{eng.get('bar_idx','?')}" f" lev:{lev:.2f}x notional:${notional:,.0f}") # Open positions positions = eng.get("open_positions") or [] if positions: L.append(f" {BOLD}OPEN:{RST}") for p in positions: sc2 = GREEN if p.get("side") == "LONG" else RED L.append(f" {sc2}{p.get('asset','?')} {p.get('side','?')}{RST}" f" qty:{p.get('quantity',0):.4f}" f" entry:{p.get('entry_price',0):.2f}" f" upnl:{p.get('unrealized_pnl',0):+.2f}") else: L.append(f" {DIM}no open positions{RST}") L.append("") # POSTURE bd = safe.get("breakdown") or {} L.append(f"{BOLD}POSTURE{RST} {pc}{posture}{RST} Rm:{pc}{_bar(rm,20)}{RST} {rm:.4f}") cats = " ".join(f"C{i}:{float(bd.get(f'Cat{i}',0)):.2f}" for i in range(1,6)) L.append(f" {cats} f_env:{float(bd.get('f_env',0)):.3f} f_exe:{float(bd.get('f_exe',0)):.3f}") L.append("") # SYS HEALTH L.append(f"{BOLD}SYS HEALTH{RST} {sc}{mhs_st}{RST} rm_meta:{rm_meta:.3f}") for m in ("m1_data_infra","m1_trader","m2_heartbeat", "m3_data_freshness","m4_control_plane","m5_coherence"): v = float(mh.get(m, 0)) c = GREEN if v >= 0.9 else (YELLOW if v >= 0.5 else RED) L.append(f" {c}{m}:{v:.3f}{RST}") L.append(f" {DIM}services:{RST} " + " ".join( f"{'●' if st=='RUNNING' else f'{RED}●{RST}'}{DIM}{n.split(':')[-1]}{RST}" if st == "RUNNING" else f"{RED}●{DIM}{n.split(':')[-1]}{RST}" for n, st in sorted(svc.items()))) L.append(f" {DIM}hz_keys:{RST} " + " ".join( f"{GREEN if float(i.get('score',0))>=0.9 else (YELLOW if float(i.get('score',0))>=0.5 else RED)}●{RST}{DIM}{k}{RST}" for k, i in sorted(hz_ks.items()))) L.append("") L.append(f"{DIM}v3 • 1s poll • Ctrl-C quit{RST}") return "\n".join(L) def main(): print("Connecting to HZ...") hz = hazelcast.HazelcastClient( cluster_name="dolphin", cluster_members=["localhost:5701"], connection_timeout=5.0) print("Connected.\n") try: while True: try: sys.stdout.write(CLEAR + render(hz) + "\n") sys.stdout.flush() except Exception as e: sys.stdout.write(f"\n{RED}render error: {e}{RST}\n") sys.stdout.flush() time.sleep(1) except KeyboardInterrupt: print(f"\n{DIM}Bye.{RST}") finally: hz.shutdown() if __name__ == "__main__": main()