编程

Execution Window Optimizer

试用

Identifies optimal execution windows based on volatility and liquidity

它能做什么

Identifies optimal execution windows based on volatility and liquidity

技能文档

execution-window-optimizer

What It Does

Identifies optimal execution windows based on volatility and liquidity. This signal is computed in real time from APEX Runner's live autonomous trading system operating across Kraken, Coinbase Advanced Trade, and Hyperliquid — not from backtests or third-party aggregators.

When to Use

  • To time order placement for lowest impact
  • During high-volatility periods
  • When latency-sensitive execution is required

How to Use

The agent makes an x402-authenticated GET request to:

https://apexrunner.ai/signals/execution-window-optimizer

The x402 client handles payment authorisation automatically. No API key, no account, no subscription required — just an EVM wallet with USDC on Base mainnet.

# Example using the x402-python client
from x402.client import x402_get

response = x402_get(
    url="https://apexrunner.ai/signals/execution-window-optimizer",
    private_key=os.environ["EVM_PRIVATE_KEY"]
)
print(response.json())

Example Response

{
  "current_window_rating": "GOOD",
  "execute_now_recommendation": true,
  "best_windows": [
    {"utc_hours": "02:00-04:00", "avg_quality_score": 92}
  ],
  "timestamp": "2026-06-23T14:00:00Z"
}

Pricing

$0.20/call — standard price

Early adopters automatically receive 30% off ($0.14/call) until 2026-09-21. Discount tiers apply automatically based on wallet call history:

  • Early Adopter (0–9 calls): 30% off
  • Engaged (10–49 calls): 15% off
  • Loyal (50–199 calls): 15% permanent
  • VIP (200+ calls): 20% permanent

Check your tier: https://apexrunner.ai/signals/my-pricing


APEX Runner — autonomous AI crypto trading signals. apexrunner.ai

相关技能

Use when the user asks about fees, slippage, maker vs taker, post-only orders, fee tiers, fee optimization, why my strategy is losing more than backtest, bui...

The Execution Trader's procedure for turning an approved ticket into one Hyperliquid action and reconciling it - the pre-send checklist, order construction rules, single-send discipline, unknown-result handling and the execution report. Use before and after every send, cancel, modify, leverage change or close.

Forecast where a stock will close at option expiration and recommend options plays. Use when the user asks for an options forecast, expected close range, CI bands, or trade ideas for a specific ticker and expiration. Produces a Breeden-Litzenberger risk-neutral density forecast (median, 50/80/95% CI

1 星标

Active grid levels, spacing, and next buy/sell prices per pair

对每日股票 OHLCV CSV 运行做多策略回测,输出统一绩效指标与逐笔交易记录。

167 次安装3 星标