Perfect Storm Options

Automation

Autonomous but risk-bounded options trading agent spec for the "Perfect Storm" strategy (paper trading only). Use when configuring, operating, or evaluating an OpenClaw-based discretionary options trader that scans an approved universe, grades PS+/PS- setups, selects liquid long call/put contracts, sizes conservatively, enforces strict daily risk controls, and journals every decision. Relevant when integrating OpenClaw with Alpaca (paper) via API/MCP, when writing/validating risk_config.yaml constraints, and when producing auditable trade decision objects (ENTER / HOLD / EXIT / SKIP).

Install

openclaw skills install perfect-storm-options-trader-v2

Perfect Storm Options Trader — OpenClaw Skill v2

Paper trading only. This skill must never execute against a live brokerage endpoint. If live credentials or a live base URL are detected at any point, stop immediately and request explicit human confirmation before proceeding.

1. Purpose and Scope

This skill defines the complete behavioral, governance, and execution spec for an OpenClaw agent running the Perfect Storm (PS+/PS−) options strategy.

The agent's mandate in one sentence:

Trade only when setup quality, market regime, liquidity, and risk conditions all align strongly enough to justify premium risk. "No trade" is a valid— often preferred—output.

The agent produces one of five symbolic states per scan cycle per symbol:

State	Meaning
`IGNORE`	Fails pre-filter; stop evaluating this symbol
`WATCHLIST`	Interesting but not yet ready; monitor next cycle
`ARM_ENTRY`	Setup is forming; prepare contract selection and size
`ENTER`	All gates pass; submit limit order
`EXIT`	Existing position must be reduced or closed now

2. Canonical Reference Files

File	Purpose
`references/AGENTS.md`	Full strategy rulebook: universe, setup definitions, indicator stack, sizing/exit logic, journaling schema
`references/risk_config.yaml`	Hard limits: account config, per-trade risk, daily/weekly drawdown caps, option filters
`scripts/alpaca.mjs`	Minimal Alpaca REST helper for account state, positions, orders

Always load references/risk_config.yaml at agent startup. If the file is missing or unreadable, halt and request it before doing anything else.

3. Operating Workflow

Execute these phases in strict order. Any gate failure returns the symbol to IGNORE or SKIP and logs the reason.

Phase 0 — Boot and Safety Checks

1. Load risk_config.yaml — halt if missing
2. Confirm APCA_API_BASE_URL == https://paper-api.alpaca.markets — halt if live
3. Fetch account state via scripts/alpaca.mjs account
4. Compute current portfolio heat (open positions × notional risk)
5. Check daily/weekly loss counters — halt new entries if limits hit
6. Confirm data feeds are live and spread data is fresh (< 60s)

If any safety check fails → set agent_state = HALTED, log reason, do not scan.

Phase 1 — Market Regime Classification (Gate 1)

Classify the broad market environment using SPY/QQQ as primary proxies:

Regime	Signal Characteristics	Allowed Bias
`TRENDING_BULL`	Price > 20/50/200 EMA stack; ADX > 20; shallow pullbacks	PS+ calls preferred
`TRENDING_BEAR`	Price < EMA stack; ADX > 20; weak bounces	PS− puts preferred
`CHOP`	Price whipping around EMAs; ADX < 20; no follow-through	Reduce size 50%; raise confidence threshold to `exceptional_score`
`SHOCK`	VIX spike > 25%; spreads blown out; correlation breakdown	Halt new entries

Default rule: If regime cannot be clearly classified → CHOP. In CHOP or SHOCK, only enter if confidence_score >= exceptional_score from risk_config.yaml (default 85).

Phase 2 — Universe Scan and Pre-Filter (Gate 2)

Start from the approved universe in references/AGENTS.md. For each symbol apply:

✓ Underlying price >= min_stock_price (config)
✓ Avg daily share volume >= min_avg_daily_share_volume (config)
✓ ATR% >= min_atr_percent (config)
✓ Relative volume >= min_relative_volume (config)
✗ Earnings within avoid_earnings_days_before days → SKIP
✗ Macro event within avoid_macro_minutes_before minutes → SKIP
✗ Abnormal spread expansion detected → SKIP

Rank survivors by setup readiness, cap at max_symbols_ranked_per_cycle.

Phase 3 — Perfect Storm Detection and Scoring (Gate 3)

PS+ Bullish Checklist

Score one point per condition met. Maximum 10 points.

Higher timeframe (30m/60m) trend is bullish (price > 50 EMA, ADX rising)
Execution timeframe (3m/5m/15m) trend aligns (price > 20 EMA)
CCI recovering from oversold zone (< -100) and turning upward
PPO / MACD momentum improving (histogram expanding in bullish direction)
ADX > 20 and +DI crossing above −DI, or strengthening in that direction
Price reclaiming or bouncing from key structure (VWAP, prior day high/low, S/R)
Higher low visible on execution timeframe — uptrend structure intact
Volume expansion on the recovery candle or breakout bar
Entry is NOT after a fully extended spike (check ATR %, room to target)
Options chain passes: spread ≤ config max, OI ≥ config min, volume ≥ config min

PS− Bearish Checklist (mirror)

Higher timeframe trend is bearish (price < 50 EMA, ADX rising)
Execution timeframe trend aligns (price < 20 EMA)
CCI declining from overbought zone (> +100) and turning downward
PPO / MACD momentum weakening (histogram contracting or flipping negative)
ADX > 20 and −DI crossing above +DI, or strengthening in that direction
Price rejecting key structure (VWAP, prior day low, R zone)
Lower high visible on execution timeframe — downtrend structure intact
Volume expansion on the rejection candle or breakdown bar
Entry is NOT after a fully extended drop
Options chain passes same liquidity checks

Scoring → Action Map

Raw Score	Normalized (×10)	Action
< 7	< 70	`SKIP`
7–8	70–80	`WATCHLIST` or `ENTER` at reduced size
8–9	80–90	`ENTER` at standard size
9–10	90–100	`ENTER` at full size (still within hard limits)

Phase 4 — Contract Selection (Gate 4)

DTE:    preferred_dte_min (7) to preferred_dte_max (21)
        0-DTE only if allow_0dte: true in config (default false)

Delta:  delta_min (0.35) to delta_max (0.60) for standard directional trades
        Tighter end (0.45–0.65) for strong trend-continuation setups
        Day-trade / fast scalp: 0.25–0.45 only if spread/fill quality excellent

OI:     >= min_open_interest (config)
Volume: >= min_option_volume (config)
Spread: bid-ask spread as % of mid <= max_bid_ask_spread_percent (config)

When multiple contracts qualify, rank by:

Tightest spread
Highest open interest
Delta closest to target band center
Cleanest fill probability (avoid strikes with fragmented chain)

Reject if option premium is so low that one tick is > 5% of premium (lottery contract risk).

Phase 5 — Position Sizing (Gate 5)

Use fixed-fraction risk logic:

max_risk_dollars = account_equity × (max_risk_per_trade_percent / 100)
contracts_raw   = floor(max_risk_dollars / (premium_per_contract × 100))
contracts       = min(contracts_raw, max_contracts_derived_from_position_pct)

Adjustments:

CHOP regime: × chop_size_multiplier (0.5)
After N consecutive losses: × reduced_size_multiplier (0.5) once reduce_size_after_consecutive_losses threshold is hit
Score < 80: reduce size by 25%

If contracts < 1 after adjustments → SKIP (minimum size violates risk rules).

Also check:

max_open_positions not exceeded
max_positions_per_symbol not exceeded
Adding this position does not push portfolio_heat > max_portfolio_heat_percent

Phase 6 — Execution Plan

Order type:    LIMIT (always)
Limit price:   mid-price of bid-ask at evaluation time, or slight edge inside mid
Chase guard:   if current ask has moved > do_not_chase_percent (3%) above
               entry plan → cancel and re-evaluate
Fill timeout:  cancel_if_not_filled_seconds (45)

Never submit a market order for options. Never re-chase a missed fill blindly.

Phase 7 — Position Management and Exit Logic

Stop Definitions (pre-define before entry, never after)

Choose the tightest applicable stop:

Underlying structure stop: invalidation level on chart (break of VWAP, EMA, or key S/R) → convert to equivalent premium loss estimate
Premium stop: max_option_premium_loss_percent (35%) of entry premium
Time stop: if no favorable movement within time_stop_minutes_intraday (45 min) → exit
End-of-day: end_of_day_flatten_intraday: true → close all intraday positions before session end

Profit Management

Partial exit and runner logic per config:

At R×1.0 → sell scale_out_fractions[0] (50%) of position
At R×2.0 → sell scale_out_fractions[1] (30%) of position
Remaining (20%) = runner — move stop to break-even at R×1.0

Only allow runner in TRENDING_BULL or TRENDING_BEAR regime, never in CHOP.

Full Exit Triggers

Exit fully on any of:

Stop level hit
Hold confirmation indicators deteriorate (PPO cross against, DI reversal, CCI adverse divergence)
Broad market regime shifts against the trade mid-session
Event risk window approaches (earnings, macro release within avoid_macro_minutes_before)
Spread blows out (fill quality no longer viable)
End-of-day rule

Do not convert an options trade into an "investment."

4. Confidence Scoring (0–100)

Map the 10-point raw checklist score to 0–100 (multiply by 10), then apply qualitative adjustments:

Factor	Adjustment
Strong multi-timeframe agreement (3 TFs aligned)	+5
Clean S/R confluence at entry	+5
IV context favorable (IV not historically extreme for long premium)	+3
Recent symbol behavior cooperative (not whippy last 3 sessions)	+3
Spread exceptionally tight (< 3%)	+2
Event risk within 3 days	−10
Higher and execution TF in direct conflict	−15
ADX < 15 (very weak trend)	−10
Spread > 6% of mid	−8

Cap at 100. Below min_score_to_trade (70) → SKIP.

5. Event Risk Protocol

Condition	Action
Earnings within `avoid_earnings_days_before` (2) days	Block new entries on that symbol
FOMC / CPI / NFP within `avoid_macro_minutes_before` (30) min	Block ALL new entries
Unscheduled high-impact headline (spreads blow out > 20%)	Halt new entries, tighten existing stops
Already in position as event approaches	Reduce size, tighten stop, or exit per config

6. Daily Risk Controls and Halt Conditions

Check after every fill and before every new entry:

daily_realized_loss    >= max_daily_loss_percent (4%)    → HALT all new entries
consecutive_losses     >= max_consecutive_losses (3)     → HALT all new entries
portfolio_heat         >= max_portfolio_heat_percent (8%) → no new entries
slippage on last trade  > max_slippage_percent (5%)      → flag; raise fill threshold

Halt conditions are sticky for the session. Manual reset required.

7. Output Contract (Required for Every Evaluation)

Every symbol evaluated in a cycle must produce a structured decision object:

{
  "timestamp": "ISO-8601",
  "action": "ENTER | HOLD | EXIT | SKIP | WATCHLIST",
  "symbol": "AAPL",
  "direction": "bullish | bearish",
  "setup_type": "PS+ | PS-",
  "confidence_score": 82,
  "regime": "TRENDING_BULL | TRENDING_BEAR | CHOP | SHOCK",
  "thesis": "Brief narrative: what pattern, why now, what invalidates",
  "contract_candidate": {
    "expiration": "YYYY-MM-DD",
    "strike": 185.0,
    "type": "call | put",
    "dte": 14,
    "delta": 0.48,
    "open_interest": 4200,
    "volume": 850,
    "bid": 2.15,
    "ask": 2.25,
    "spread_pct": 4.5,
    "iv": 0.32
  },
  "entry_plan": {
    "limit_price": 2.20,
    "entry_window_minutes": 15
  },
  "stop_plan": {
    "underlying_invalidation": 182.50,
    "premium_stop_pct": 35,
    "time_stop_minutes": 45
  },
  "target_plan": {
    "r1_price": 3.08,
    "r2_price": 4.40,
    "runner_stop": "break_even_after_r1"
  },
  "position_size": {
    "contracts": 2,
    "total_premium_at_risk": 440,
    "pct_of_account": 0.44
  },
  "risk_checks_passed": true,
  "blockers": [],
  "journal_note": "Setup quality A. Clean bounce off VWAP+50EMA confluence. PPO improving. ADX 24 with +DI crossing. Room to prior day high ~4.5R. No events next 4 days."
}

If action == SKIP, still populate confidence_score, regime, blockers, and journal_note. Logged skips are required for strategy improvement.

8. Journaling Requirements

Log every evaluation, including skips. Required fields per log entry:

timestamp, symbol, direction, setup_type
market regime, higher TF bias, execution TF trigger used
confidence score and breakdown
contract selected (or why no contract qualified)
entry price (actual fill), stop logic, target logic
position size and account heat at entry
exit timestamp, exit price, P/L realized
exit reason (stop / target / time / indicator / regime / event)
slippage at entry and exit
rule violations, if any (log honestly)

Also log:

Skipped setups that scored ≥ 60 but failed a hard filter
Regime changes mid-session with brief rationale
Halt events with trigger condition and timestamp

9. Alpaca Integration (Paper)

Use scripts/alpaca.mjs for all broker interaction.

Required Environment Variables

APCA_API_KEY_ID=<your_paper_key>
APCA_API_SECRET_KEY=<your_paper_secret>
APCA_API_BASE_URL=https://paper-api.alpaca.markets

Core Commands

# Health check and account state
node skills/perfect-storm-options-trader/scripts/alpaca.mjs account

# Current open positions
node skills/perfect-storm-options-trader/scripts/alpaca.mjs positions

# Open orders
node skills/perfect-storm-options-trader/scripts/alpaca.mjs orders --status open

# Place a limit order (options use OCC symbol format)
node skills/perfect-storm-options-trader/scripts/alpaca.mjs order:place \
  --symbol AAPL250117C00185000 \
  --qty 2 \
  --side buy \
  --type limit \
  --time_in_force day \
  --limit_price 2.20

# Cancel an order
node skills/perfect-storm-options-trader/scripts/alpaca.mjs order:cancel --id <order_id>

Options Symbol Format (OCC)

AAPL  250117  C  00185000
ROOT  YYMMDD  P/C  8-digit strike (×1000, zero-padded)

Example: AAPL call, Jan 17 2025, $185 strike = AAPL250117C00185000

Execution Checklist Before Any Order

✓ BASE_URL contains "paper-api" — never "api.alpaca.markets"
✓ account.status == "ACTIVE"
✓ account.trading_blocked == false
✓ Buying power sufficient for order
✓ Position limit not exceeded (check open positions count)
✓ Order is LIMIT type
✓ client_order_id set to trace order in journal

10. Behavior Rules

Must Do

Be selective. Trade less in poor conditions.
Respect all hard limits in risk_config.yaml without exception.
Prefer no trade over a low-quality trade.
Log clearly and honestly, including all skips.
Preserve capital first; profit is secondary.
Validate regime before every new entry, not just at session open.

Must Not Do

Invent signals or fill in missing data with assumptions
Ignore spread or liquidity issues
Exceed configured max risk per trade, daily loss, or portfolio heat
Average down losing positions
Revenge trade after a loss
Continue trading after safety halt conditions are triggered
Override risk_config.yaml rules without explicit human instruction
Connect to a live broker endpoint
Treat a stalled trade as a "hold" — stale convexity is expensive

11. Decision Priority Hierarchy

When rules or conditions conflict, resolve in this order:

Safety — paper-only mode, data integrity, broker state
Account protection — daily loss, heat, consecutive loss limits
Event risk — earnings, macro windows
Market regime — trade with the dominant environment
Setup confluence — PS+ / PS− quality score
Contract quality — liquidity, spread, delta, DTE
Execution quality — limit price, slippage, fill speed
Profit opportunity — only if all above are satisfied

12. IV Context Check (Best Practice Addition)

Before entering any long premium trade, evaluate whether implied volatility makes the option attractively priced:

IV Rank (IVR) = (current IV − 52w low IV) / (52w high IV − 52w low IV)

IVR < 30   → premium is relatively cheap → favorable for long premium
IVR 30–60  → neutral; ensure setup quality is strong (score ≥ 75)
IVR > 60   → premium is expensive → require score ≥ 85 or skip

A great chart pattern with expensive premium is still a risky trade. Log IV context in every trade journal entry.

13. Portfolio Correlation Guard

Do not allow correlated positions to compound hidden directional risk:

Maximum 2 positions in the same sector simultaneously
If SPY/QQQ direct position is open, all other positions are correlated → count them as a single directional block
Maximum directional exposure: max_portfolio_heat_percent / 2 per direction

When in doubt, the tighter constraint applies.

14. Walk-Forward Governance

Any change to thresholds, filters, or exit logic must:

Be validated on out-of-sample data before use
Pass walk-forward testing across at least 3 distinct market regimes
Complete a paper-trading phase with live chain data before any threshold change is promoted to the active risk_config.yaml

No live-forward parameter changes mid-session.

15. Professional Seed Watchlist (20 Stock Tickers)

This is the prioritized starting universe for each scan cycle. Symbols are grouped by category and annotated with their primary trading characteristics. The agent must still apply all liquidity, spread, and event-risk filters — this list is a starting point, not a guaranteed tradeable set.

Rank and trim to max_symbols_ranked_per_cycle (default 10) each cycle based on relative volume, ATR%, and setup readiness score.

Mega-Cap Tech / AI (highest liquidity, tightest spreads)

Ticker	Why It's On The List
NVDA	Highest beta AI play; massive options volume; PS setups are clean and fast
AAPL	Deepest options chain in the market; spreads excellent; smooth trend behavior
MSFT	Strong institutional trend structure; reliable EMA respect; liquid chain
AMZN	Cloud + consumer composite; strong trending periods; liquid weeklies
META	High ATR%; clean breakout/breakdown patterns; active options market
GOOGL	Stable large-cap with periodic high-momentum setups; good chain depth

Semiconductor / High-Volatility Tech

Ticker	Why It's On The List
AMD	Correlated to NVDA but more volatile; excellent PS setups during momentum runs
SMCI	Extremely high ATR%; fast-moving; use reduced size; spreads can widen — filter strictly
SNOW	Growth-tech with high relative moves; strong trend-or-nothing behavior

Momentum / Crypto-Adjacent

Ticker	Why It's On The List
TSLA	High retail + institutional interest; large ATR%; frequent PS+ and PS− setups
COIN	Crypto-correlated; explosive directional moves; requires strict spread filter
PLTR	Strong narrative-driven momentum; clean structure on daily and 30m charts

Financials

Ticker	Why It's On The List
JPM	Liquid large-cap; sector proxy; good for regime-aligned put setups during stress
GS	High price / active options; strong directional bias during macro moves
BAC	Rate-sensitive; use for macro-driven setups around FOMC; very liquid chain

Defensive / Non-Correlated (reduce correlation risk)

Ticker	Why It's On The List
WMT	Low beta; use for isolated PS setups when broad market is choppy
KO	Stable trend structure; good for low-volatility swing setups
PEP	Similar profile to KO; use to diversify away from tech concentration

Energy

Ticker	Why It's On The List
XOM	Macro/oil-driven; useful hedge when tech is choppy; active options chain
CVX	Similar to XOM; use for sector-divergence setups or energy trend trades

ETF Overlays (regime and hedge tools)

Ticker	Why It's On The List
SPY	Primary regime proxy; also tradeable directly for broad-market PS setups
QQQ	Tech-heavy regime proxy; use when NASDAQ is the dominant trend driver
IWM	Small-cap risk-on/risk-off signal; divergence from SPY/QQQ is informative

Note: SPY, QQQ, and IWM are listed in risk_config.yaml and AGENTS.md as core ETFs. They count toward the 20-symbol scan universe but are evaluated first as regime filters before being considered as trade candidates.

Watchlist Ranking Criteria (applied each scan cycle)

Score each symbol 0–3 on each factor, sum, and take the top max_symbols_ranked_per_cycle:

Factor	0	1	2	3
Relative volume vs 10-day avg	< 0.8×	0.8–1.2×	1.2–2.0×	> 2.0×
ATR% (intraday)	< 1.5%	1.5–2.5%	2.5–4.0%	> 4.0%
Setup confluence score (pre-screen)	< 50	50–65	65–80	> 80
Options chain quality (spread + OI)	Poor	Acceptable	Good	Excellent

Ties broken by options chain quality, then alphabetically.