加密货币 TWAP 算法交易：Tardis 逐笔成交数据驱动的时间加权执行

このコードでは、Tardisからリアルタイムの逐笔成交データを取得し、各スライスの執行前にHolySheep AIでリスク分析を実施しています。HolySheepの<50msレイテンシにより、従来のLLM APIを使用するよりも85%低いコスト（レート¥1=$1、公式比85%節約）でリアルタイムリスク評価が可能です。

適応型TWAP実行エンジン

class AdaptiveTWAPEngine:
    """ボラティリティ適応型TWAP執行エンジン"""
    
    def __init__(
        self,
        tardis_client: TardisClient,
        holysheep_analyzer: HolySheepRiskAnalyzer,
        exchange_client: any  # Binance, OKX, etc.
    ):
        self.tardis = tardis_client
        self.holysheep = holysheep_analyzer
        self.exchange = exchange_client
        self.execution_log = []
    
    async def execute_twap(self, spec: OrderSpec) -> Dict:
        """TWAP注文を執行"""
        total_seconds = (spec.end_time - spec.start_time).total_seconds()
        num_slices = int(total_seconds / spec.slice_interval_seconds)
        slice_quantity = spec.total_quantity / num_slices
        
        print(f"[TWAP] Starting: {spec.symbol}, {num_slices} slices")
        
        for i in range(num_slices):
            slice_start = spec.start_time + timedelta(seconds=i * spec.slice_interval_seconds)
            slice_end = slice_start + timedelta(seconds=spec.slice_interval_seconds)
            
            # 1. 直前市場の流動性をTardisから取得
            current_time_ms = int(slice_start.timestamp() * 1000)
            end_time_ms = int(slice_end.timestamp() * 1000)
            
            ticks = await self.tardis.fetch_realtime_ticks(
                exchange="binance",
                symbol=spec.symbol,
                from_ts=current_time_ms - 60000,  # 前1分
                to_ts=current_time_ms
            )
            
            # 2. ボラティリティ計算
            if ticks:
                prices = [t.price for t in ticks]
                volatility = np.std(prices) / np.mean(prices)
                avg_volume = np.mean([t.volume for t in ticks])
            else:
                volatility = 0.01
                avg_volume = 1.0
            
            # 3. HolySheep AIでリスク分析
            risk_analysis = await self.holysheep.analyze_execution_risk(
                symbol=spec.symbol,
                order_size=slice_quantity,
                market_volatility=volatility
            )
            
            # 4. 執行速度調整（HolySheepの提案を採用）
            speed_multiplier = self._parse_speed_adjustment(risk_analysis)
            adjusted_interval = spec.slice_interval_seconds * speed_multiplier
            
            # 5. 成行注文執行
            order = await self.exchange.place_market_order(
                symbol=spec.symbol,
                side=spec.side,
                quantity=slice_quantity
            )
            
            # 6. 執行記録
            execution_record = {
                "slice": i + 1,
                "timestamp": datetime.now().isoformat(),
                "quantity": slice_quantity,
                "order_id": order["orderId"],
                "executed_price": order["fills"][0]["price"],
                "volatility": volatility,
                "speed_multiplier": speed_multiplier
            }
            self.execution_log.append(execution_record)
            
            print(f"[TWAP] Slice {i+1}/{num_slices}: "
                  f"Price={execution_record['executed_price']}, "
                  f"Vol={volatility:.4f}")
            
            # 7. 次のスライスまで待機
            await asyncio.sleep(adjusted_interval)
        
        return self._generate_execution_report()
    
    def _parse_speed_adjustment(self, analysis: str) -> float:
        """HolySheepのレスポンスから速度調整係数を抽出"""
        # 実際の実装ではJSONパースを使用
        if "fast" in analysis.lower():
            return 0.8  # 市場急変時は高速執行
        elif "slow" in analysis.lower():
            return 1.2  # 安定時はゆっくり執行
        return 1.0
    
    def _generate_execution_report(self) -> Dict:
        """執行レポート生成"""
        if not self.execution_log:
            return {}
        
        prices = [e["executed_price"] for e in self.execution_log]
        quantities = [e["quantity"] for e in self.execution_log]
        
        vwap = np.average(prices, weights=quantities)
        
        return {
            "total_slices": len(self.execution_log),
            "vwap": vwap,
            "max_price": max(prices),
            "min_price": min(prices),
            "execution_details": self.execution_log
        }

=== 実行例 ===
async def main():
    # HolySheep AI クライアント初期化
    holysheep = HolySheepRiskAnalyzer(HOLYSHEEP_API_KEY)
    tardis = TardisClient("YOUR_TARDIS_API_KEY")
    
    # ダミー取引所クライアント
    exchange = DummyExchange()
    
    # TWAPエンジン作成
    engine = AdaptiveTWAPEngine(tardis, holysheep, exchange)
    
    # TWAP注文仕様
    spec = OrderSpec(
        symbol="BTCUSDT",
        side="buy",
        total_quantity=1.5,  # 1.5 BTC
        start_time=datetime.now(),
        end_time=datetime.now() + timedelta(hours=2),
        slice_interval_seconds=120  # 2分間隔
    )
    
    # 執行実行
    result = await engine.execute_twap(spec)
    print(f"\n[TWAP] Execution Complete - VWAP: {result['vwap']}")

if __name__ == "__main__":
    asyncio.run(main())

# エラー内容
httpx.HTTPStatusError: 429 Too Many Requests

対処法：エクスポネンシャルバックオフでリトライ
async def fetch_with_retry(
    client: httpx.AsyncClient,
    url: str,
    max_retries: int = 5
) -> httpx.Response:
    for attempt in range(max_retries):
        try:
            response = await client.get(url)
            response.raise_for_status()
            return response
        except httpx.HTTPStatusError as e:
            if e.response.status_code == 429:
                wait_time = 2 ** attempt  # 1s, 2s, 4s, 8s, 16s
                print(f"[Retry] Rate limited. Waiting {wait_time}s...")
                await asyncio.sleep(wait_time)
            else:
                raise
    raise Exception("Max retries exceeded")

# エラー内容
{"error": {"message": "Invalid API key", "type": "invalid_request_error"}}

対処法：環境変数から安全にキーをロード
import os
from functools import lru_cache

@lru_cache(maxsize=1)
def get_holysheep_client() -> HolySheepRiskAnalyzer:
    api_key = os.environ.get("HOLYSHEEP_API_KEY")
    if not api_key:
        raise ValueError(
            "HOLYSHEEP_API_KEY environment variable not set. "
            "Get your key at: https://www.holysheep.ai/register"
        )
    return HolySheepRiskAnalyzer(api_key)

# エラー内容
Slippage exceeds threshold: expected 65000, executed 64800

対処法：執行前に成行注文を置き換えて指値注文に変更
async def safe_order(
    exchange: any,
    symbol: str,
    quantity: float,
    max_slippage_bps: float = 20.0
) -> Dict:
    # 現在の最良気配値取得
    book = await exchange.get_order_book(symbol)
    best_bid = book["bids"][0]["price"]
    
    # 指値注文で執行（最良気配値 + 1ティックの価格で買い）
    limit_price = best_bid * 1.0001  # 0.01% 上回る価格で指値
    
    order = await exchange.place_limit_order(
        symbol=symbol,
        side="buy",
        price=limit_price,
        quantity=quantity
    )
    
    # 30秒以内に約定しなければ成行に切り替え
    await asyncio.sleep(30)
    if order["status"] == "open":
        await exchange.cancel_order(order["orderId"])
        # 成行で再執行
        return await exchange.place_market_order(
            symbol=symbol,
            side="buy",
            quantity=quantity
        )
    
    return order