From e263cebc76608a2178cf83bcfd9dacf3c3006e9c Mon Sep 17 00:00:00 2001 From: alteregoeth-ai Date: Tue, 3 Mar 2026 17:40:36 -0600 Subject: [PATCH] Add files via upload --- config.json | 8 + polymarket_weather_bot.py | 627 ++++++++++++++++++++++++++++++++++++++ sim_dashboard_repost.html | 303 ++++++++++++++++++ 3 files changed, 938 insertions(+) create mode 100644 config.json create mode 100644 polymarket_weather_bot.py create mode 100644 sim_dashboard_repost.html diff --git a/config.json b/config.json new file mode 100644 index 0000000..d40ed9f --- /dev/null +++ b/config.json @@ -0,0 +1,8 @@ +{ + "entry_threshold": 0.30, + "exit_threshold": 0.45, + "max_position_pct": 0.10, + "max_trades_per_run": 5, + "min_hours_to_resolution": 2, + "locations": "NYC,Chicago,Seattle,Atlanta,Dallas,Miami" +} \ No newline at end of file diff --git a/polymarket_weather_bot.py b/polymarket_weather_bot.py new file mode 100644 index 0000000..61e14f7 --- /dev/null +++ b/polymarket_weather_bot.py @@ -0,0 +1,627 @@ +#!/usr/bin/env python3 +""" +Weather Trading Bot v2 — Polymarket +Kelly Criterion + Expected Value simulation. + +Usage: + python weather_bot_v2.py # Paper mode with $1000 virtual balance + python weather_bot_v2.py --live # Real trades + python weather_bot_v2.py --positions + python weather_bot_v2.py --reset # Reset simulation balance +""" + +import re +import json +import argparse +import requests +from datetime import datetime, timezone, timedelta + +# ============================================================================= +# CONFIG +# ============================================================================= + +with open("config.json") as f: + _cfg = json.load(f) + +ENTRY_THRESHOLD = _cfg.get("entry_threshold", 0.15) +EXIT_THRESHOLD = _cfg.get("exit_threshold", 0.45) +MAX_TRADES = _cfg.get("max_trades_per_run", 5) +MIN_HOURS_LEFT = _cfg.get("min_hours_to_resolution", 2) +PRICE_DROP_SIGNAL = _cfg.get("price_drop_threshold", 0.10) + +# Kelly + EV settings +NOAA_ACCURACY = 0.78 # NOAA forecast accuracy for 1-3 day predictions +KELLY_FRACTION = 0.25 # Use 1/4 Kelly for safety (full Kelly is too aggressive) +MAX_POSITION_PCT = 0.10 # Never bet more than 10% of balance on one trade +MIN_EV = 0.05 # Minimum EV to enter (5 cents per dollar risked) +SIM_BALANCE = 1000.0 # Starting virtual balance + +LOCATIONS = { + "NYC": {"lat": 40.77, "lon": -73.87, "name": "New York City"}, + "Chicago": {"lat": 41.97, "lon": -87.90, "name": "Chicago"}, + "Seattle": {"lat": 47.45, "lon": -122.30, "name": "Seattle"}, + "Atlanta": {"lat": 33.64, "lon": -84.43, "name": "Atlanta"}, + "Dallas": {"lat": 32.90, "lon": -97.04, "name": "Dallas"}, + "Miami": {"lat": 25.80, "lon": -80.29, "name": "Miami"}, +} + +ACTIVE_LOCATIONS = _cfg.get("locations", "NYC,Chicago,Seattle,Atlanta,Dallas,Miami").split(",") +ACTIVE_LOCATIONS = [l.strip() for l in ACTIVE_LOCATIONS] +MONTHS = ["january","february","march","april","may","june", + "july","august","september","october","november","december"] + +# ============================================================================= +# COLORS +# ============================================================================= + +class C: + GREEN = "\033[92m" + YELLOW = "\033[93m" + RED = "\033[91m" + CYAN = "\033[96m" + GRAY = "\033[90m" + RESET = "\033[0m" + BOLD = "\033[1m" + +def ok(msg): print(f"{C.GREEN} ✅ {msg}{C.RESET}") +def warn(msg): print(f"{C.YELLOW} ⚠️ {msg}{C.RESET}") +def info(msg): print(f"{C.CYAN} {msg}{C.RESET}") +def skip(msg): print(f"{C.GRAY} ⏸️ {msg}{C.RESET}") + +# ============================================================================= +# KELLY CRITERION + EV +# ============================================================================= + +def calculate_ev(our_prob: float, market_price: float) -> float: + """ + Expected Value per $1 risked. + EV = (our_prob * payout) - (1 - our_prob) * 1 + payout = (1 / market_price) - 1 (net profit per $1 if we win) + + Example: our_prob=0.75, price=0.08 + payout = 1/0.08 - 1 = 11.5x + EV = 0.75 * 11.5 - 0.25 = 8.375 - 0.25 = +$8.12 per $1 risked + """ + if market_price <= 0 or market_price >= 1: + return 0.0 + payout = (1.0 / market_price) - 1.0 + ev = (our_prob * payout) - (1.0 - our_prob) + return round(ev, 4) + + +def calculate_kelly(our_prob: float, market_price: float) -> float: + """ + Kelly Criterion: optimal fraction of bankroll to bet. + f* = (p * b - q) / b + where: + p = our probability of winning + q = 1 - p (probability of losing) + b = net odds (payout per $1 bet) + + We apply KELLY_FRACTION (0.25) for safety — fractional Kelly. + Result is capped at MAX_POSITION_PCT (10% of balance). + """ + if market_price <= 0 or market_price >= 1: + return 0.0 + b = (1.0 / market_price) - 1.0 # net odds + p = our_prob + q = 1.0 - p + kelly = (p * b - q) / b + kelly = max(0.0, kelly) # never negative + kelly = kelly * KELLY_FRACTION # fractional Kelly + kelly = min(kelly, MAX_POSITION_PCT) # cap at max position + return round(kelly, 4) + + +def calculate_position_size(kelly_fraction: float, balance: float) -> float: + """Convert Kelly fraction to dollar amount.""" + return round(kelly_fraction * balance, 2) + +# ============================================================================= +# SIMULATION STATE +# ============================================================================= + +SIM_FILE = "simulation.json" + +def load_sim() -> dict: + try: + with open(SIM_FILE) as f: + return json.load(f) + except FileNotFoundError: + return { + "balance": SIM_BALANCE, + "starting_balance": SIM_BALANCE, + "positions": {}, + "trades": [], + "total_trades": 0, + "wins": 0, + "losses": 0, + "peak_balance": SIM_BALANCE, + } + +def save_sim(sim: dict): + with open(SIM_FILE, "w") as f: + json.dump(sim, f, indent=2) + +def reset_sim(): + import os + if os.path.exists(SIM_FILE): + os.remove(SIM_FILE) + if os.path.exists("positions.json"): + os.remove("positions.json") + print(f"{C.GREEN} ✅ Simulation reset — balance back to ${SIM_BALANCE:.2f}{C.RESET}") + +# ============================================================================= +# OPEN-METEO FORECAST +# ============================================================================= + +def get_forecast(location: str) -> dict: + loc = LOCATIONS[location] + url = ( + f"https://api.open-meteo.com/v1/forecast" + f"?latitude={loc['lat']}&longitude={loc['lon']}" + f"&daily=temperature_2m_max&temperature_unit=fahrenheit&forecast_days=4" + ) + try: + r = requests.get(url, timeout=10) + data = r.json() + result = {} + for date, temp in zip(data["daily"]["time"], data["daily"]["temperature_2m_max"]): + result[date] = round(temp, 1) + return result + except Exception as e: + warn(f"Forecast error for {location}: {e}") + return {} + +# ============================================================================= +# POLYMARKET API +# ============================================================================= + +def get_polymarket_event(location_slug: str, month: str, day: int, year: int) -> dict: + slug = f"highest-temperature-in-{location_slug}-on-{month}-{day}-{year}" + url = f"https://gamma-api.polymarket.com/events?slug={slug}" + try: + r = requests.get(url, timeout=10) + data = r.json() + if data and isinstance(data, list) and len(data) > 0: + return data[0] + except Exception as e: + warn(f"Polymarket API error: {e}") + return None + +def get_price_history(market_id: str) -> list: + url = f"https://clob.polymarket.com/prices-history?market={market_id}&interval=1d&fidelity=60" + try: + r = requests.get(url, timeout=10) + return r.json().get("history", []) + except Exception: + return [] + +# ============================================================================= +# PARSING +# ============================================================================= + +def parse_temp_range(question: str) -> tuple: + if not question: + return None + if "or below" in question.lower(): + m = re.search(r'(\d+)°F or below', question, re.IGNORECASE) + if m: return (-999, int(m.group(1))) + if "or higher" in question.lower(): + m = re.search(r'(\d+)°F or higher', question, re.IGNORECASE) + if m: return (int(m.group(1)), 999) + m = re.search(r'between (\d+)-(\d+)°F', question, re.IGNORECASE) + if m: return (int(m.group(1)), int(m.group(2))) + return None + +def temp_in_range(temp: float, rng: tuple) -> bool: + return rng[0] <= temp <= rng[1] + +def hours_until_resolution(event: dict) -> float: + try: + end_date = event.get("endDate") or event.get("end_date_iso") + if not end_date: return 999 + end_dt = datetime.fromisoformat(end_date.replace("Z", "+00:00")) + delta = (end_dt - datetime.now(timezone.utc)).total_seconds() / 3600 + return max(0, delta) + except Exception: + return 999 + +def detect_price_drop(history: list) -> dict: + if not history or len(history) < 2: + return {"dropped": False, "change": 0} + recent = history[-1].get("p", 0.5) + lookback = min(96, len(history) - 1) + old = history[-lookback].get("p", recent) + if old == 0: return {"dropped": False, "change": 0} + change = (recent - old) / old + return {"dropped": change < -PRICE_DROP_SIGNAL, "change": change} + +# ============================================================================= +# SHOW POSITIONS +# ============================================================================= + +def show_positions(): + sim = load_sim() + positions = sim["positions"] + print(f"\n{C.BOLD}📊 Open Positions:{C.RESET}") + if not positions: + print(" No open positions") + return + + total_pnl = 0 + for mid, pos in positions.items(): + try: + url = f"https://gamma-api.polymarket.com/markets/{mid}" + r = requests.get(url, timeout=5) + current_price = float(r.json().get("outcomePrices", ["0.5"])[0]) + except Exception: + current_price = pos["entry_price"] + + pnl = (current_price - pos["entry_price"]) * pos["shares"] + total_pnl += pnl + pnl_str = f"{C.GREEN}+${pnl:.2f}{C.RESET}" if pnl >= 0 else f"{C.RED}-${abs(pnl):.2f}{C.RESET}" + print(f"\n • {pos['question'][:65]}...") + print(f" Entry: ${pos['entry_price']:.3f} | Now: ${current_price:.3f} | " + f"Shares: {pos['shares']:.1f} | PnL: {pnl_str}") + print(f" Kelly used: {pos['kelly_pct']:.1%} | EV: {pos['ev']:.2f} | Cost: ${pos['cost']:.2f}") + + balance_str = f"${sim['balance']:.2f}" + pnl_color = C.GREEN if total_pnl >= 0 else C.RED + print(f"\n Balance: {balance_str}") + print(f" Open PnL: {pnl_color}{'+'if total_pnl>=0 else ''}{total_pnl:.2f}{C.RESET}") + print(f" Total trades: {sim['total_trades']} | W/L: {sim['wins']}/{sim['losses']}") + +# ============================================================================= +# MAIN STRATEGY +# ============================================================================= + +def run(dry_run: bool = True): + print(f"\n{C.BOLD}{C.CYAN}🌤 Weather Trading Bot v2 — Kelly + EV Edition{C.RESET}") + print("=" * 55) + + sim = load_sim() + balance = sim["balance"] + positions = sim["positions"] + + mode = f"{C.YELLOW}PAPER MODE{C.RESET}" if dry_run else f"{C.RED}LIVE MODE{C.RESET}" + starting = sim["starting_balance"] + total_return = (balance - starting) / starting * 100 + return_str = f"{C.GREEN}+{total_return:.1f}%{C.RESET}" if total_return >= 0 else f"{C.RED}{total_return:.1f}%{C.RESET}" + + print(f"\n Mode: {mode}") + print(f" Virtual balance: {C.BOLD}${balance:.2f}{C.RESET} (started ${starting:.2f}, {return_str})") + print(f" Kelly fraction: {KELLY_FRACTION:.0%} of full Kelly") + print(f" Max per trade: {MAX_POSITION_PCT:.0%} of balance") + print(f" Min EV: {MIN_EV:.2f} per $1 risked") + print(f" NOAA accuracy: {NOAA_ACCURACY:.0%}") + print(f" Trades W/L: {sim['wins']}/{sim['losses']}") + + forecast_cache = {} + trades_executed = 0 + opportunities = 0 + + # Check exits + print(f"\n{C.BOLD}📤 Checking exits...{C.RESET}") + exits_found = 0 + for mid, pos in list(positions.items()): + try: + url = f"https://gamma-api.polymarket.com/markets/{mid}" + r = requests.get(url, timeout=5) + current_price = float(r.json().get("outcomePrices", ["0.5"])[0]) + except Exception: + continue + + if current_price >= EXIT_THRESHOLD: + exits_found += 1 + pnl = (current_price - pos["entry_price"]) * pos["shares"] + ok(f"EXIT: {pos['question'][:50]}...") + info(f"Price ${current_price:.3f} >= exit ${EXIT_THRESHOLD:.2f} | PnL: +${pnl:.2f}") + + if not dry_run: + balance += pos["cost"] + pnl + sim["wins"] += 1 if pnl > 0 else 0 + sim["losses"] += 1 if pnl <= 0 else 0 + sim["trades"].append({ + "type": "exit", "question": pos["question"], + "entry_price": pos["entry_price"], "exit_price": current_price, + "pnl": round(pnl, 2), "cost": pos["cost"], + "closed_at": datetime.now().isoformat(), + }) + del positions[mid] + ok(f"Closed position — PnL: {'+'if pnl>=0 else ''}{pnl:.2f}") + else: + skip("Paper mode — not selling") + + if exits_found == 0: + skip("No exit opportunities") + + # Scan entries + print(f"\n{C.BOLD}🔍 Scanning for entry signals...{C.RESET}") + + for loc_key in ACTIVE_LOCATIONS: + loc_key = loc_key.strip() + if loc_key not in LOCATIONS: + warn(f"Unknown location: {loc_key}") + continue + + loc_data = LOCATIONS[loc_key] + loc_slug = loc_key.lower().replace(" ", "-") + + if loc_key not in forecast_cache: + forecast_cache[loc_key] = get_forecast(loc_key) + + forecast = forecast_cache[loc_key] + if not forecast: + continue + + for i in range(0, 3): + date = datetime.now() + timedelta(days=i) + date_str = date.strftime("%Y-%m-%d") + month = MONTHS[date.month - 1] + day = date.day + year = date.year + + forecast_temp = forecast.get(date_str) + if forecast_temp is None: + continue + + event = get_polymarket_event(loc_slug, month, day, year) + if not event: + continue + + hours_left = hours_until_resolution(event) + + print(f"\n{C.BOLD}📍 {loc_data['name']} — {date_str}{C.RESET}") + info(f"Forecast: {forecast_temp}°F | Resolves in: {hours_left:.0f}h") + + if hours_left < MIN_HOURS_LEFT: + skip(f"Resolves in {hours_left:.0f}h — too soon") + continue + + # Find matching bucket + matched = None + for market in event.get("markets", []): + question = market.get("question", "") + rng = parse_temp_range(question) + if rng and temp_in_range(forecast_temp, rng): + try: + prices = json.loads(market.get("outcomePrices", "[0.5,0.5]")) + yes_price = float(prices[0]) + except Exception: + continue + matched = {"market": market, "question": question, + "price": yes_price, "range": rng} + break + + if not matched: + skip(f"No bucket found for {forecast_temp}°F") + continue + + price = matched["price"] + market_id = matched["market"].get("id", "") + question = matched["question"] + + info(f"Bucket: {question[:60]}") + info(f"Market price: ${price:.3f}") + + # Trend check + history = get_price_history(market_id) + trend = detect_price_drop(history) + if trend["dropped"]: + info(f"📉 Price dropped {abs(trend['change']):.0%} in 24h — stronger signal") + + # ── KELLY + EV CALCULATION ── + our_prob = NOAA_ACCURACY # base accuracy + + # Boost if strong trend signal + if trend["dropped"] and abs(trend["change"]) > 0.20: + our_prob = min(0.90, our_prob + 0.05) + + ev = calculate_ev(our_prob, price) + kelly_pct = calculate_kelly(our_prob, price) + position_size = calculate_position_size(kelly_pct, balance) + + print(f"\n {C.BOLD}📐 Kelly + EV Analysis:{C.RESET}") + info(f" Our probability: {our_prob:.0%}") + info(f" Market implies: {price:.1%}") + info(f" Edge: {our_prob - price:.1%}") + + ev_color = C.GREEN if ev > 0 else C.RED + print(f" {C.CYAN} EV per $1: {ev_color}{ev:+.2f}{C.RESET}") + print(f" {C.CYAN} Kelly fraction: {kelly_pct:.1%} of balance{C.RESET}") + print(f" {C.CYAN} Position size: ${position_size:.2f}{C.RESET}") + + # Entry checks + if price >= ENTRY_THRESHOLD: + skip(f"Price ${price:.3f} above threshold ${ENTRY_THRESHOLD:.2f}") + continue + + if ev < MIN_EV: + skip(f"EV {ev:.2f} below minimum {MIN_EV:.2f} — skip") + continue + + if kelly_pct <= 0: + skip("Kelly says no edge — skip") + continue + + opportunities += 1 + ok(f"ENTRY signal! EV={ev:+.2f} | Kelly={kelly_pct:.1%} | Size=${position_size:.2f}") + + if market_id in positions: + skip("Already in this market") + continue + + if trades_executed >= MAX_TRADES: + skip(f"Max trades ({MAX_TRADES}) reached") + continue + + if position_size < 0.50: + skip(f"Position size ${position_size:.2f} too small — skip") + continue + + shares = position_size / price + info(f"Buying {shares:.1f} shares @ ${price:.3f} = ${position_size:.2f}") + + if not dry_run: + balance -= position_size + positions[market_id] = { + "question": question, + "entry_price": price, + "shares": shares, + "cost": position_size, + "kelly_pct": kelly_pct, + "ev": ev, + "our_prob": our_prob, + "date": date_str, + "location": loc_key, + "forecast_temp": forecast_temp, + "opened_at": datetime.now().isoformat(), + } + sim["total_trades"] += 1 + sim["trades"].append({ + "type": "entry", "question": question, + "entry_price": price, "shares": shares, + "cost": position_size, "kelly_pct": kelly_pct, + "ev": ev, "our_prob": our_prob, + "opened_at": datetime.now().isoformat(), + }) + trades_executed += 1 + ok(f"Bought {shares:.1f} shares — ${position_size:.2f} deducted from balance") + else: + skip("Paper mode — not buying") + trades_executed += 1 + + # Save simulation state + if not dry_run: + sim["balance"] = round(balance, 2) + sim["positions"] = positions + sim["peak_balance"] = max(sim["peak_balance"], balance) + save_sim(sim) + + # Summary + print(f"\n{'=' * 55}") + print(f"{C.BOLD}📊 Summary:{C.RESET}") + info(f"Opportunities found: {opportunities}") + info(f"Trades executed: {trades_executed}") + info(f"Exits found: {exits_found}") + info(f"Balance: ${balance:.2f}") + + if dry_run: + print(f"\n {C.YELLOW}[PAPER MODE — use --live to simulate trades against real prices]{C.RESET}") + +# ============================================================================= +# LIVE MONITOR — updates prices every N seconds, auto-exits on threshold +# ============================================================================= + +import time as _time + +def monitor(interval: int = 10): + """ + Background monitor — fetches live prices from Polymarket every N seconds, + updates PnL in simulation.json so the dashboard stays current. + Auto-exits positions when price hits EXIT_THRESHOLD. + + Run: python polymarket_weather_bot.py --monitor + Stop: Ctrl+C + """ + print(f"\n{C.BOLD}{C.CYAN}📡 Live Monitor — refreshing every {interval}s{C.RESET}") + print(f" Dashboard will update automatically") + print(f" Auto-exit threshold: ${EXIT_THRESHOLD:.2f}") + print(f" Press Ctrl+C to stop\n") + + while True: + try: + sim = load_sim() + positions = sim.get("positions", {}) + + if not positions: + print(f"{C.GRAY} {_time.strftime('%H:%M:%S')} — No open positions{C.RESET}") + _time.sleep(interval) + continue + + total_pnl = 0 + + for mid, pos in list(positions.items()): + # Fetch current price from Polymarket + try: + url = f"https://gamma-api.polymarket.com/markets/{mid}" + r = requests.get(url, timeout=5) + data = r.json() + prices = json.loads(data.get("outcomePrices", "[0.5,0.5]")) + current_price = float(prices[0]) + except Exception: + current_price = pos.get("current_price", pos["entry_price"]) + + pnl = (current_price - pos["entry_price"]) * pos["shares"] + pos["current_price"] = round(current_price, 4) + pos["pnl"] = round(pnl, 2) + total_pnl += pnl + + pnl_str = f"{C.GREEN}+${pnl:.2f}{C.RESET}" if pnl >= 0 else f"{C.RED}-${abs(pnl):.2f}{C.RESET}" + print(f" {C.GRAY}{_time.strftime('%H:%M:%S')}{C.RESET} " + f"{pos['question'][:45]}... " + f"${current_price:.3f} {pnl_str}") + + # Auto-exit if price hit threshold + if current_price >= EXIT_THRESHOLD: + ok(f"AUTO EXIT: {pos['question'][:50]}... PnL: +${pnl:.2f}") + sim["balance"] = round(sim["balance"] + pos["cost"] + pnl, 2) + sim["wins"] += 1 if pnl > 0 else 0 + sim["losses"] += 1 if pnl <= 0 else 0 + sim["trades"].append({ + "type": "exit", + "question": pos["question"], + "entry_price": pos["entry_price"], + "exit_price": current_price, + "pnl": round(pnl, 2), + "cost": pos["cost"], + "kelly_pct": pos.get("kelly_pct", 0), + "ev": pos.get("ev", 0), + "location": pos.get("location", ""), + "date": pos.get("date", ""), + "our_prob": pos.get("our_prob", 0), + "closed_at": datetime.now().isoformat(), + }) + del sim["positions"][mid] + + sim["positions"] = {k: v for k, v in sim["positions"].items()} + sim["peak_balance"] = max(sim.get("peak_balance", sim["balance"]), sim["balance"]) + + total_str = f"{C.GREEN}+${total_pnl:.2f}{C.RESET}" if total_pnl >= 0 else f"{C.RED}-${abs(total_pnl):.2f}{C.RESET}" + print(f" {'─'*60}") + print(f" Open PnL: {total_str} | Balance: ${sim['balance']:.2f} | " + f"Positions: {len(sim['positions'])}\n") + + save_sim(sim) + + except KeyboardInterrupt: + print(f"\n{C.YELLOW} Monitor stopped{C.RESET}") + break + except Exception as e: + warn(f"Monitor error: {e}") + + _time.sleep(interval) + + +# ============================================================================= +# CLI +# ============================================================================= + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Weather Trading Bot v2 — Kelly + EV") + parser.add_argument("--live", action="store_true", help="Execute trades (updates simulation balance)") + parser.add_argument("--positions", action="store_true", help="Show open positions") + parser.add_argument("--reset", action="store_true", help="Reset simulation to $1000") + parser.add_argument("--monitor", action="store_true", help="Live price monitor — updates dashboard every 10s") + parser.add_argument("--interval", type=int, default=10, help="Monitor refresh interval in seconds (default: 10)") + args = parser.parse_args() + + if args.reset: + reset_sim() + elif args.positions: + show_positions() + elif args.monitor: + monitor(interval=args.interval) + else: + run(dry_run=not args.live) \ No newline at end of file diff --git a/sim_dashboard_repost.html b/sim_dashboard_repost.html new file mode 100644 index 0000000..73a98ab --- /dev/null +++ b/sim_dashboard_repost.html @@ -0,0 +1,303 @@ + + + + +Weather Bot — Kelly Simulation + + + + + +
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WEATHER BOT — KELLY SIM
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Polymarket · Open-Meteo · Kelly Criterion · EV Analysis
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CONNECTING...
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Balance
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virtual USDC
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vs $1,000 start
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active trades
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all time
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all time high
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Balance HistoryKELLY-SIZED POSITIONS
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Open Positions0 ACTIVE
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Waiting for bot data...
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Trade HistoryFROM simulation.json
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No trades yet — run: python weather_bot_v2.py --live
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Kelly + EV LogENTRIES ONLY
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Weather Bot v2 · Reads from simulation.json · Refreshes every 10s
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⚡ $1,000 SIMULATION
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