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981a2a2 1a051f9 981a2a2 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 | import json
import time
import random
from datetime import datetime
from typing import Dict, Any, List
from storage_manager import STORAGE_DIR
TRADES_FILE = STORAGE_DIR / "trades" / "trades.json"
TRADES_FILE.parent.mkdir(parents=True, exist_ok=True)
# Default Mock Portfolio
DEFAULT_PORTFOLIO = {
"total_aum_usdc": 14250000.0,
"cash_usdc": 3562500.0,
"pnl_24h_usdc": 482150.0,
"pnl_24h_percent": 3.49,
"sharpe_ratio": 3.42,
"max_drawdown": 4.1,
"positions": [
{"symbol": "SOL", "name": "Solana", "amount": 54200.0, "price": 148.50, "value_usdc": 8048700.0, "allocation": 56.5},
{"symbol": "JUP", "name": "Jupiter", "amount": 1350000.0, "price": 0.985, "value_usdc": 1329750.0, "allocation": 9.3},
{"symbol": "RAY", "name": "Raydium", "amount": 420000.0, "price": 2.15, "value_usdc": 903000.0, "allocation": 6.3},
{"symbol": "WIF", "name": "dogwifhat", "amount": 220000.0, "price": 1.84, "value_usdc": 404800.0, "allocation": 2.8},
{"symbol": "USDC", "name": "USD Coin", "amount": 3563750.0, "price": 1.00, "value_usdc": 3563750.0, "allocation": 25.1},
]
}
class SolanaQuantEngine:
def __init__(self):
self.prices = {
"SOL": 148.50,
"JUP": 0.985,
"RAY": 2.15,
"WIF": 1.84,
"BONK": 0.0000215,
}
def get_market_overview(self) -> Dict[str, Any]:
# Small dynamic drift for live feel
for k in self.prices:
drift = random.uniform(-0.002, 0.002)
self.prices[k] = round(self.prices[k] * (1 + drift), 4 if k != "BONK" else 8)
arb_spreads = [
{
"pair": "SOL/USDC",
"buy_venue": "Raydium CPMM",
"sell_venue": "Orca Whirlpool",
"buy_price": self.prices["SOL"],
"sell_price": round(self.prices["SOL"] * 1.0042, 2),
"spread_pct": 0.42,
"net_profit_est": "$6,230",
"confidence": "HIGH",
},
{
"pair": "RAY/SOL",
"buy_venue": "Phoenix CLOB",
"sell_venue": "Jupiter Route",
"buy_price": round(self.prices["RAY"] / self.prices["SOL"], 5),
"sell_price": round((self.prices["RAY"] / self.prices["SOL"]) * 1.0031, 5),
"spread_pct": 0.31,
"net_profit_est": "$2,140",
"confidence": "MEDIUM",
},
{
"pair": "JUP/USDC",
"buy_venue": "Meteora DLMM",
"sell_venue": "Raydium CLMM",
"buy_price": self.prices["JUP"],
"sell_price": round(self.prices["JUP"] * 1.0028, 4),
"spread_pct": 0.28,
"net_profit_est": "$1,890",
"confidence": "HIGH",
}
]
return {
"timestamp": datetime.utcnow().isoformat(),
"prices": self.prices,
"arbitrage_opportunities": arb_spreads,
"portfolio": DEFAULT_PORTFOLIO,
}
def execute_simulated_trade(self, symbol: str, side: str, amount_usdc: float, strategy: str = "AI_MOMENTUM") -> Dict[str, Any]:
px = self.prices.get(symbol.upper(), 100.0)
tokens = round(amount_usdc / px, 4)
trade = {
"trade_id": f"TX_{str(int(time.time() * 1000))[-8:]}",
"timestamp": datetime.utcnow().isoformat(),
"symbol": symbol.upper(),
"side": side.upper(),
"amount_usdc": amount_usdc,
"executed_tokens": tokens,
"execution_price": px,
"venue": "Jupiter Swap Aggregator v6",
"slippage_bps": random.randint(3, 12),
"priority_fee_lamports": 150000,
"strategy": strategy,
"status": "CONFIRMED_ON_CHAIN",
}
# Persist to storage
history = self.get_trade_history()
history.insert(0, trade)
try:
TRADES_FILE.write_text(json.dumps(history[:50], indent=2), encoding="utf-8")
except Exception:
pass
return trade
def get_trade_history(self) -> List[Dict[str, Any]]:
if TRADES_FILE.exists():
try:
return json.loads(TRADES_FILE.read_text(encoding="utf-8"))
except Exception:
pass
# Initial Seed Trades
seed = [
{
"trade_id": "TX_94827110",
"timestamp": "2026-09-14T12:45:10Z",
"symbol": "SOL",
"side": "BUY",
"amount_usdc": 250000.0,
"executed_tokens": 1683.5,
"execution_price": 148.50,
"venue": "Raydium CPMM",
"slippage_bps": 5,
"strategy": "AI_MOMENTUM",
"status": "CONFIRMED_ON_CHAIN"
},
{
"trade_id": "TX_94823419",
"timestamp": "2026-09-14T12:30:22Z",
"symbol": "JUP",
"side": "BUY",
"amount_usdc": 120000.0,
"executed_tokens": 121827.4,
"execution_price": 0.985,
"venue": "Jupiter Route",
"slippage_bps": 4,
"strategy": "DEX_ARBITRAGE",
"status": "CONFIRMED_ON_CHAIN"
},
{
"trade_id": "TX_94819201",
"timestamp": "2026-09-14T12:10:05Z",
"symbol": "RAY",
"side": "SELL",
"amount_usdc": 75000.0,
"executed_tokens": 34883.7,
"execution_price": 2.15,
"venue": "Orca Whirlpool",
"slippage_bps": 8,
"strategy": "RISK_REBALANCE",
"status": "CONFIRMED_ON_CHAIN"
}
]
return seed
solana_quant = SolanaQuantEngine()
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