Install
openclaw skills install polymarket-clob-makerPosts two-sided GTC limit orders on Polymarket binary markets, managing inventory skew and price drift to earn bid-ask spread and estimate maker rebate volume.
openclaw skills install polymarket-clob-makerPost two-sided GTC limit orders (bid + ask) on Polymarket CLOB to earn the bid-ask spread as a liquidity provider. This is a developer-only SDK primitive — not a retail "set and forget" skill. You will need to monitor inventory and tune spread/skew parameters to your specific markets.
Why this matters. Akey, Grégoire, Harvie & Martineau (2026) studied 1.4M Polymarket users and $20B in volume. Their headline finding: moving from pure taker to pure market-maker reduces the probability of losing money by 35.9 percentage points — more than 10× larger than any other behavioral predictor (overtrading: 5pp, category concentration: 13.6pp, extreme-price trading: 3pp). This is the single highest-edge behavior on Polymarket.
Each run (cron or manual):
For each configured market:
1. Fetch current mid price (external_price_yes)
2. Compute bid/ask:
bid = mid - spread/2 (round to 0.01 tick)
ask = mid + spread/2 (round to 0.01 tick)
3. Check inventory: if net_YES_skew > max_skew → pause bidding
if net_NO_skew > max_skew → pause asking
4. Check drift: if existing order price differs from new quote by > drift_threshold
→ cancel and repost
5. Post GTC orders:
BID: client.trade("yes", amount=Q, price=bid, order_type="GTC")
ASK: client.trade("no", amount=Q, price=1-ask, order_type="GTC")
^ Synthetic sell: post NO buy at 1-ask_price instead of YES sell
→ earns maker rebates instead of paying taker fees on exits
6. Log fee-equivalent volume for rebate estimation
Polymarket YES and NO tokens are complementary (YES + NO = $1). Instead of posting a sell order on YES (which pays taker fees), this skill posts a buy order on NO at the complementary price:
| Intent | Order posted | Price |
|---|---|---|
| Buy YES | BUY YES GTC | mid - spread/2 |
| Sell YES (ask) | BUY NO GTC | 1 - (mid + spread/2) |
This earns maker rebates on both sides (Polymarket Maker Rebates Program). At a taker fee rate of 2%, the rebate formula is:
fee_equivalent = notional_USDC × taker_fee_rate × price × (1-price)
The --status and --cancel-all commands show cumulative fee-equivalent estimates.
Install SDK
pip install -U 'simmer-sdk>=0.13.0'
Set API key
export SIMMER_API_KEY=sk_live_...
Import markets to Simmer (markets must be imported before the skill can quote them)
from simmer_sdk import SimmerClient
client = SimmerClient(api_key=os.environ["SIMMER_API_KEY"], venue="polymarket")
result = client.import_market("https://polymarket.com/event/will-btc-hit-100k-by-eoy-2026")
print(result["market_id"]) # use this ID in MM_MARKETS
Configure markets
export MM_MARKETS=abc123def456,xyz789... # comma-separated Simmer market IDs
export MM_SPREAD_PCT=0.04 # 4% spread (2¢ each side at 50¢ mid)
export MM_QUOTE_USDC=10 # $10 USDC per side per market
Dry run (default — no orders placed)
python market_maker.py
Live trading
python market_maker.py --live
| Env Var | Default | Description |
|---|---|---|
MM_MARKETS | — | Required. Comma-separated Simmer market IDs |
MM_SPREAD_PCT | 0.04 | Spread as fraction of price (0.04 = 4 cents at 50¢); minimum 0.03 to avoid post-rounding quote collapse |
MM_QUOTE_USDC | 10.0 | USDC per side per market |
MM_MAX_SKEW_PCT | 0.30 | Pause one side when inventory skew exceeds this fraction |
MM_DRIFT_THRESHOLD | 0.02 | Cancel/replace when quote drifts >2¢ from current mid |
MM_TAKER_FEE_RATE | 0.02 | Taker fee rate for rebate estimation (sports: 0.03) |
MM_MAX_MARKETS | 5 | Cap number of markets per run |
MM_STATE_FILE | ~/.simmer/market_maker_state.json | State persistence (order IDs + rebate log) |
python market_maker.py # Dry run
python market_maker.py --live # Live trading
python market_maker.py --status # Show active quotes + inventory
python market_maker.py --cancel-all # Cancel all open market-maker GTC orders
python market_maker.py --config # Print active config
Run on a cron cadence (e.g., every 5 minutes) to keep quotes fresh. The skill emits {"automaton": {...}} when AUTOMATON_MANAGED=1 is set.
# Run every 5 minutes (OpenClaw / cron)
*/5 * * * * AUTOMATON_MANAGED=1 MM_MARKETS=abc123 MM_SPREAD_PCT=0.04 \
python market_maker.py --live
Automaton output fields:
markets — number of markets processedbids_placed / asks_placed — GTC orders submitted this runorders_cancelled — stale quotes cancelledfee_equiv_usd — estimated rebate-eligible volume this runcumulative_fee_equiv_usd — total across all runsGood candidates for market-making:
Poor candidates:
The skill tracks net inventory per market:
net_skew = shares_YES - shares_NO
When |net_skew| > max_skew_pct × (quote_usdc / price), the over-exposed side stops posting new quotes. This limits directional exposure but does not eliminate it — monitor inventory via --status.
1-ask_yes formula is incorrect for them. The skill will still quote them but the ask leg may misprice.client.auto_redeem() in a separate process or add --cancel-all before market resolution.simmer-labs/shared-knowledge/research/2026-04-16-polymarket-winners-losers-study.mdsimmer-labs/shared-knowledge/research/2026-04-14-polymarket-quant-bot-copy-trading.md