← 返回
未分类 Key 中文

Polymarket Twitter Bin Decay Trader

Trades post-count bin markets by tracking elapsed time to identify mathematically dead bins that still hold residual probability. Requires SIMMER_API_KEY and...
在后期计数的bin 市场中,通过追踪已用时间来识别仍持有残余概率的死亡 bin,并进行交易。需要 SIMMER_API_KEY 等。
diagnostikon
未分类 clawhub v0.0.3 1 版本 100000 Key: 需要
★ 0
Stars
📥 452
下载
💾 0
安装
1
版本
#latest

概述

Twitter Bin Decay Trader

> This is a template.

> The default signal estimates posts-so-far from elapsed time and daily rate — remix it with real-time post counting via Twitter API, Social Blade scrapers, or Polymarket order flow analysis.

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

Strategy Overview

As a posting period progresses, bins become mathematically eliminable. If Elon has estimated ~130 tweets after 2 of 3 days, the "40-64" bin is dead — but it might still trade at 5-10% because the market is slow to update.

This skill tracks the elapsed fraction of each market's period and computes which bins are still viable, which are dead, and which are on-trajectory.

Signal Logic

Viability Computation

  1. Parse start/end dates from market question
  2. Compute elapsed_fraction = (now - start) / (end - start)
  3. Estimate posts_so_far = elapsed_fraction daily_rate period_days
  4. Calculate reachable range:
    • max_total = posts_so_far + max_daily_rate * remaining_days
    • min_total = posts_so_far + 0.3 daily_rate remaining_days
  5. If bin_lower > max_total → bin is dead (unreachable)
  6. If bin_upper < min_total → bin is dead (already surpassed)

Max Daily Rates (Historical Extremes)

PersonAvg DailyMax DailyNotes
-------------------------------------
Elon Musk65120Thread storms can 2x rate
Donald Trump2350Rally days spike
Vitalik820Conference days
CZ1230Exchange drama days

Trading Dead Bins

  • Dead bin priced >62% → strong NO signal (sell the corpse)
  • Viable bin priced <38% and on-trajectory → YES signal (buy the survivor)
  • Conviction scales with both threshold distance AND viability confidence

Remix Ideas

  • Real-time post counting: Replace estimation with actual count from Twitter API
  • Velocity tracking: Track rate changes within the period (accelerating vs decelerating)
  • Multi-bin portfolio: Short dead bins and long viable bins simultaneously for hedge

Risk Parameters

ParameterDefaultNotes
---------------------------
Max position size$40 USDCPer market
Min market volume$1,000Standard filter
Max bid-ask spread10%Default threshold
Min days to resolution0Post-count markets are short-lived
Max open positions8Diversify across bins

Installation & Setup

clawhub install polymarket-twitter-bin-decay-trader

Requires: SIMMER_API_KEY environment variable.

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 paper trading (venue="sim"). Real trades only execute when --live is passed explicitly.

ScenarioModeFinancial risk
--------------------------------
python trader.pyPaper (sim)None
Cron / automatonPaper (sim)None
python trader.py --liveLive (polymarket)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. Do not place a live-capable key in any environment where automated code could call --live.

Tunables (Risk Parameters)

All risk parameters are declared in clawhub.json as tunables and adjustable from the Simmer UI without code changes. They use SIMMER_-prefixed env vars so apply_skill_config() can load them securely.

VariableDefaultPurpose
----------------------------
SIMMER_MAX_POSITION40Max USDC per trade (reached at 100% conviction)
SIMMER_MIN_VOLUME1000Min market volume filter (USD)
SIMMER_MAX_SPREAD0.10Max bid-ask spread (0.10 = 10%)
SIMMER_MIN_DAYS0Min days until market resolves
SIMMER_MAX_POSITIONS8Max concurrent open positions
SIMMER_YES_THRESHOLD0.38Buy YES if market price ≤ this value
SIMMER_NO_THRESHOLD0.62Sell NO if market price ≥ this value
SIMMER_MIN_TRADE5Floor for any trade (min USDC regardless of conviction)

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

  • v0.0.3 当前
    2026-05-03 06:44 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

data-analysis

Polymarket Supply Chain Trader

diagnostikon
交易Polymarket预测市场,关注供应链中断、港口拥堵、航运延误、商品价格和物流结果。使用...
★ 0 📥 825
data-analysis

Polymarket Biotech Trader

diagnostikon
Trades Polymarket prediction markets on FDA drug approvals, biotech IPOs, clinical trial outcomes, pharma M&A, and preci
★ 0 📥 765
data-analysis

Polymarket Central Bank Trader

diagnostikon
在 Polymarket 预测市场交易央行决策、利率、通胀数据以及美联储/欧洲央行/瑞典央行政策动向,利用三重复利机制。
★ 0 📥 789