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Kalshi ETH Bin Distribution Trader

Trades ETH price bin markets on Kalshi by exploiting the constraint that all bins must sum to 100%. When the sum deviates, identifies mispriced bins and trad...
在Kalshi上交易ETH价格分箱市场,利用所有分箱总和必须为100%的约束。当总和不符时,识别错误定价的分箱并执行交易...
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未分类 clawhub v1.0.0 1 版本 99683.5 Key: 需要
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概述

Kalshi ETH Bin Distribution Trader

> This is a template.

> The default signal uses the 100% sum constraint on price bins -- remix it with implied distribution fitting, volatility smile analysis, or cross-venue arbitrage.

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

Strategy Overview

Kalshi ETH price markets are structured as mutually exclusive bins (e.g., "ETH above $3000", "ETH $2500-$3000") that must sum to exactly 100%. When retail flow pushes individual bins out of alignment, the sum deviates from 100% and creates structural arbitrage.

Key advantages:

  • Mathematical certainty -- bins MUST sum to 100%, deviations are temporary
  • No external data needed -- pure internal consistency check
  • Self-correcting -- market makers eventually re-align bins

Signal Logic

Sum Constraint Model

  1. Fetch all active ETH price bin markets from Kalshi
  2. Group bins by resolution date (weekly, monthly)
  3. Sum probabilities across all bins in each group
  4. If sum deviates > sum_tolerance from 100%, flag the group
  5. Normalize each bin: fair = current / total_sum
  6. Trade bins where |fair - market| >= entry_edge

Example (with defaults)

BinMarket PFair P (normalized)EdgeAction
------------------------------------------------
ETH $2000-$250025%23.1%-1.9%Hold
ETH $2500-$300035%32.4%-2.6%Hold
ETH $3000-$350030%27.8%-2.2%Hold
ETH above $350018%16.7%-1.3%Hold
Sum108%100%Overpriced

Conviction-Based Sizing

  • conviction = min(|edge| / entry_edge, 2.0) / 2.0
  • size = max($5.00, conviction * MAX_POSITION_USD)
  • Larger edge = larger position, capped at MAX_POSITION_USD

Remix Ideas

  • Implied volatility fitting: Fit a lognormal distribution to bin prices
  • Cross-venue arb: Compare Kalshi bin structure to Polymarket/Betfair
  • Historical mean reversion: Track how fast bin sums revert to 100%
  • Options-implied distribution: Use ETH options chain for fair bin prices

Risk Parameters

ParameterDefaultNotes
---------------------------
Entry edge8%Min per-bin edge to trade
Exit threshold45%Sell when position price reaches this
Max position size$5.00 USDCPer market
Max trades per run3Rate limiting
Sum tolerance5%Min sum deviation to trigger analysis
Max slippage15%Skip if slippage exceeds
Min liquidity$0Disabled by default

Installation & Setup

clawhub install kalshi-eth-bin-distribution-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.

ScenarioModeFinancial risk
--------------------------------
python trader.pyDry runNone
Cron / automatonDry runNone
python trader.py --liveLive (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

VariableRequiredNotes
---------------------------
SIMMER_API_KEYYesTrading authority -- keep this credential private.
SOLANA_PRIVATE_KEYFor liveBase58-encoded Solana private key for DFlow transactions.

Tunables (Risk Parameters)

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

VariableDefaultPurpose
----------------------------
SIMMER_ETH_BINDIST_ENTRY_EDGE0.08Min per-bin edge to trigger trade
SIMMER_ETH_BINDIST_EXIT_THRESHOLD0.45Sell position when price reaches this level
SIMMER_ETH_BINDIST_MAX_POSITION_USD5.00Max USDC per trade
SIMMER_ETH_BINDIST_MAX_TRADES_PER_RUN3Max trades per execution cycle
SIMMER_ETH_BINDIST_SLIPPAGE_MAX0.15Max slippage before skipping (15%)
SIMMER_ETH_BINDIST_MIN_LIQUIDITY0Min market liquidity USD (0 = disabled)
SIMMER_ETH_BINDIST_SUM_TOLERANCE0.05Min bin sum deviation to trigger analysis

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

  • v1.0.0 当前
    2026-05-07 15:19 安全 安全

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