← 返回
未分类 Key 中文

Kalshi Crypto Correlation Trader

Exploits BTC/ETH correlation (beta=1.3) to trade ETH price-level markets when BTC makes a significant move. ETH tends to lag BTC moves, creating mispricing w...
利用 BTC/ETH 相关性(β=1.3),在 BTC 大幅波动时交易 ETH 价格层市场。ETH 往往滞后于 BTC 走势,形成错价窗口...
diagnostikon diagnostikon 来源
未分类 clawhub v1.0.1 1 版本 100000 Key: 需要
★ 0
Stars
📥 381
下载
💾 0
安装
1
版本
#latest

概述

Kalshi Crypto Correlation Trader

> This is a template.

> The default signal uses a static BTC/ETH beta of 1.3 -- remix it with rolling correlation windows, multi-asset cointegration, or real-time price feed APIs.

> The skill handles all the plumbing (market discovery, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

BTC and ETH are highly correlated, but ETH markets on Kalshi lag BTC moves by hours. This skill monitors BTC price-level markets as a leading indicator, computes ETH fair values using beta=1.3, and trades when ETH markets have not yet adjusted.

Key advantages:

  • Well-documented correlation -- BTC/ETH beta is stable around 1.3
  • ETH lags BTC -- retail-dominated Kalshi ETH markets update slowly
  • Cross-asset signal -- uses BTC as a free leading indicator for ETH trades

Signal Logic

Correlation Model

  1. Fetch BTC and ETH price-level markets
  2. Compute BTC sentiment from average market probabilities
  3. Apply beta=1.3 to derive ETH fair value adjustment
  4. Compare adjusted fair value to ETH market price
  5. Trade when |fair - market| >= entry_edge

Remix Ideas

  • Rolling beta: Compute 30-day rolling BTC/ETH beta from price data
  • Multi-asset: Add SOL, AVAX correlations for broader signal
  • Real-time feeds: Use CoinGecko/Binance API for live price correlation
  • Regime detection: Different beta in bull vs bear markets

Risk Parameters

| Parameter | Default | Notes |

|-----------|---------|-------|

| Entry edge | 10% | Min fair-vs-market divergence to trade |

| Exit threshold | 45% | Sell when position price reaches this |

| Max position size | $5.00 USDC | Per market |

| Max trades per run | 3 | Rate limiting |

| Max slippage | 15% | Skip if slippage exceeds |

| Min liquidity | $0 | Disabled by default |

Installation & Setup

clawhub install kalshi-crypto-correlation-trader

Requires: SIMMER_API_KEY and SOLANA_PRIVATE_KEY environment variables.

Cron Schedule

Cron is set to null -- the skill does not run on a schedule until you configure it in the Simmer UI.

Safety & Execution Mode

The skill defaults to dry-run mode. Real trades only execute when --live is passed explicitly.

| Scenario | Mode | Financial risk |

|----------|------|----------------|

| python trader.py | Dry run | None |

| Cron / automaton | Dry run | None |

| python trader.py --live | Live (Kalshi via DFlow) | Real USDC |

The automaton cron is set to null -- it does not run on a schedule until you configure it in the Simmer UI. autostart: false means it won't start automatically on install.

Required Credentials

| Variable | Required | Notes |

|----------|----------|-------|

| SIMMER_API_KEY | Yes | Trading authority. Treat as a high-value credential. |

| SOLANA_PRIVATE_KEY | Yes | Base58-encoded Solana private key for live trading. |

Tunables (Risk Parameters)

All risk parameters are declared in clawhub.json as tunables and adjustable from the Simmer UI without code changes.

| Variable | Default | Purpose |

|----------|---------|---------|

| SIMMER_CRYPTO_CORR_ENTRY_EDGE | 0.10 | Min divergence between fair value and market to trigger trade |

| SIMMER_CRYPTO_CORR_EXIT_THRESHOLD | 0.45 | Sell position when price reaches this level |

| SIMMER_CRYPTO_CORR_MAX_POSITION_USD | 5.00 | Max USDC per trade |

| SIMMER_CRYPTO_CORR_MAX_TRADES_PER_RUN | 3 | Max trades per execution cycle |

| SIMMER_CRYPTO_CORR_SLIPPAGE_MAX | 0.15 | Max slippage before skipping (0.15 = 15%) |

| SIMMER_CRYPTO_CORR_MIN_LIQUIDITY | 0 | Min market liquidity USD (0 = disabled) |

Dependency

simmer-sdk is published on PyPI by Simmer Markets.

  • PyPI: https://pypi.org/project/simmer-sdk/
  • GitHub: https://github.com/SpartanLabsXyz/simmer-sdk
  • Publisher: hello@simmer.markets

Review the source before providing live credentials if you require full auditability.

版本历史

共 1 个版本

  • v1.0.1 当前
    2026-05-07 05:38 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

professional

A股量化 AkShare

mbpz
A股量化数据分析工具,基于AkShare库获取A股行情、财务数据、板块信息等。用于回答关于A股股票查询、行情数据、财务分析、选股等问题。
★ 188 📥 62,287
ai-agent

Kalshi Fed Speech Signal Trader

diagnostikon
在Kalshi上依据市场问题文本中的鹰派/鸽派情绪信号交易美联储利率市场,并通过关键词典对净情绪进行评分。
★ 0 📥 434
professional

All-Market Financial Data Hub

financial-ai-analyst
基于东方财富数据库,支持自然语言查询金融数据,覆盖A股、港股、美股、基金、债券等资产,提供实时行情、公司信息、估值、财务报表等,适用于投资研究、交易复盘、市场监控、行业分析、信用研究、财报审计、资产配置等场景,满足机构与个人需求。返回结果为
★ 123 📥 41,621