Polymarket 24h Cross Asset Sync Trader

Trades cross-asset correlation divergences in 5-minute crypto "Up or Down" markets on Polymarket. When BTC, ETH, SOL, DOGE, XRP, and BNB have overlapping tim...

Security Scan

The skill's code, instructions, and declared requirements align with its stated purpose (paper-first Polymarket trading using a Simmer SDK) and it does not request unrelated credentials or system access.

Purpose & Capability

Name/description claim a Polymarket trading strategy and the package requires only a Simmer SDK and SIMMER_API_KEY, which are appropriate for interacting with a trading/simulation platform. The declared tunables and config match the trading functionality.

Instruction Scope

SKILL.md and trader.py focus on market discovery, grouping, signal logic, and trade execution. The runtime instructions explicitly default to paper (sim) mode and require --live for real trades. The code reads only expected environment variables and does not reference unrelated files, system paths, or external endpoints beyond the Simmer client.

Install Mechanism

There is no custom install script; clawhub.json declares a pip dependency on 'simmer-sdk' which is proportionate to the stated purpose. No downloads from arbitrary URLs or extract operations are present.

Credentials

Only SIMMER_API_KEY (the trading API key) is required and is consistent with the skill's need to place trades. Other risk/tunable env vars are optional and documented. The code accesses only those declared env vars.

Persistence & Privilege

autostart is false and always is not set; the automaton entrypoint exists but nothing runs automatically by default. Model invocation remains enabled (platform default) but that is expected for a managed trading skill and not combined with other concerning privileges.

Assessment

This skill appears coherent: it uses the simmer-sdk and expects SIMMER_API_KEY to simulate or execute trades, and it defaults to paper trading. Before enabling live mode, verify the simmer-sdk package source and trustworthiness, keep SIMMER_API_KEY secret, and test thoroughly in paper mode with conservative tunables (min trade, max position). Because the skill can be invoked by the agent, avoid supplying live credentials until you have audited the integration and confirmed behavior in simulation. If you want extra assurance, review the simmer-sdk repository and run the trader in a controlled environment first.

24h Cross-Asset Sync Trader

This is a template. The default signal is cross-asset divergence detection in 5-minute crypto "Up or Down" markets — remix it with additional correlation models, momentum overlays, or real-time price feeds. The skill handles all the plumbing (market discovery, window grouping, trade execution, safeguards). Your agent provides the alpha.

Strategy Overview

Polymarket lists 5-minute "Up or Down" markets for multiple crypto assets in the same time window:

• "Bitcoin Up or Down - March 28, 4:05AM-4:10AM ET"
• "Ethereum Up or Down - March 28, 4:05AM-4:10AM ET"
• "Solana Up or Down - March 28, 4:05AM-4:10AM ET"

Each market is traded independently by retail. But crypto assets are highly correlated — BTC/ETH at ~0.85, BTC/SOL at ~0.75. When the group consensus says "Up" but one asset diverges to "Down," the outlier almost always snaps back.

This skill groups markets by time window, computes the consensus direction, identifies outliers, and trades the correction.

The Edge: Crypto Correlation Arbitrage

In traditional markets, pairs traders exploit correlated instruments that temporarily diverge. This is the prediction market equivalent for short-duration crypto bets.

How It Works

1. Group by window: Find all "Up or Down" markets sharing the same 5-minute time slot
2. Compute consensus: Average the "Up probability" across all assets in the window
3. Detect outliers: Find assets whose direction or magnitude deviates from the group mean
4. Trade the correction: Bet the outlier moves toward consensus

Example

Asset	Direction	Probability	Up Prob
BTC	Up	58%	58%
ETH	Up	56%	56%
SOL	Up	54%	54%
DOGE	Down	55%	45%

Group mean Up probability: 53%. DOGE diverges at 45% (8% deviation). Trade: buy YES on DOGE (bet it goes Up like the rest).

Why This Works

1. Retail trades in silos — most users view each asset's market independently and don't cross-reference correlated assets in the same window
2. High correlation is structural — crypto assets move together because they share macro drivers (risk-on/off, USD strength, regulatory news)
3. 5-minute windows amplify correlation — in such short periods, idiosyncratic moves are rare; the dominant factor is market-wide sentiment
4. Mean-reversion is fast — divergences in correlated assets correct within minutes as arbitrageurs and market makers step in

Signal Logic

1. Discover all crypto "Up or Down" markets via keyword search
2. Parse each question: extract asset (BTC/ETH/SOL/DOGE/XRP/BNB), date, time window
3. Group into windows by (date, start-end time)
4. For each window with 2+ assets:
   • Compute the group mean "Up probability"
   • Identify assets deviating by more than MIN_DIVERGENCE
   • Determine trade direction: push the outlier toward consensus
5. Rank by deviation magnitude
6. Trade only opportunities that also pass threshold gates (YES_THRESHOLD / NO_THRESHOLD)
7. Size by conviction (divergence magnitude + threshold distance), not flat amount

Safety & Execution Mode

The skill defaults to paper trading (venue="sim"). Real trades only with --live flag.

Scenario	Mode	Financial risk
python trader.py	Paper (sim)	None
Cron / automaton	Paper (sim)	None
python trader.py --live	Live (polymarket)	Real USDC

autostart: false and cron: null mean nothing runs automatically until configured in Simmer UI.

Required Credentials

Variable	Required	Notes
SIMMER_API_KEY	Yes	Trading authority. Treat as a high-value credential.

Tunables (Risk Parameters)

All declared as tunables in clawhub.json and adjustable from the Simmer UI.

Variable	Default	Purpose
SIMMER_MAX_POSITION	40	Max USDC per trade at full conviction
SIMMER_MIN_TRADE	5	Floor for any trade
SIMMER_MIN_VOLUME	5000	Min market volume filter (USD)
SIMMER_MAX_SPREAD	0.08	Max bid-ask spread
SIMMER_MIN_DAYS	0	Min days until resolution (0 = allow same-day)
SIMMER_MAX_POSITIONS	8	Max concurrent open positions
SIMMER_YES_THRESHOLD	0.38	Buy YES only if market probability <= this
SIMMER_NO_THRESHOLD	0.62	Sell NO only if market probability >= this
SIMMER_MIN_DIVERGENCE	0.04	Min cross-asset divergence to trigger a trade

Edge Thesis

Crypto assets share macro risk factors: BTC dominance, USD index, regulatory headlines, and institutional flow. In a 5-minute window, the probability that BTC goes Up while ETH goes Down is very low — their 5-min return correlation exceeds 0.80.

When Polymarket shows a divergence across correlated assets in the same time slot, it is almost always due to:

• Asymmetric liquidity — one asset's market has a large directional order that hasn't been arbitraged
• Stale pricing — the market maker on one asset hasn't updated to reflect the latest tick
• Retail noise — a speculator has moved one market without considering cross-asset consistency

This skill treats the multi-asset window as a correlation lattice and trades the repair.

Dependency

simmer-sdk by Simmer Markets (SpartanLabsXyz)

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