1. API
  2. Strategies
  3. Optimize strategy

Strategies API, POST /optimize-strategy

Which strikes give the best SPY iron condor for max profit?

Grid-searches strikes for a strategy type and returns the winner with its analysis. Searches strike combinations for iron condors and credit spreads against a target (max profit, min loss, risk-reward or probability) and returns the winning legs with the full analysis.

Run it on your ticker Download as Markdown Copy for your AI
BasicPlan and above, from $55/mo
1MCP tool that calls it
2026-09-08Sample captured from the live endpoint

The answer, in one call

Units first,
then the request.

As /build-strategy.

Candidates from the live chain; the target picks the objective.

curlBearer token from Account, then API Access
curl -X POST "https://apexvol.com/api/mcp/data/optimize-strategy" \
     -H "Authorization: Bearer avmcp_YOUR_TOKEN" \
     -H "Content-Type: application/json" \
     -d '{"ticker": "SPY", "strategy_type": "iron_condor", "target": "max_profit"}'
Pythonrequests, nothing else
import requests

headers = {"Authorization": "Bearer avmcp_YOUR_TOKEN"}
body = {"ticker": "SPY", "strategy_type": "iron_condor", "target": "max_profit"}
r = requests.post("https://apexvol.com/api/mcp/data/optimize-strategy", headers=headers, json=body)
r.raise_for_status()
data = r.json()["data"]
print(data["analysis"])
In Claude, Cursor or ChatGPTthrough the MCP server, no code
You

Find the best-probability iron condor on SPY.

The assistant calls optimize_strategy and answers from the JSON below.

Tokens come with every paid or trial plan. Sign in and create one under Account, then API Access, or start a trial. Your ticker, your budget.

POST /api/mcp/data/optimize-strategy200, application/json, captured 2026-09-08
{
  "success": true,
  "data": {
    "analysis": {
      "breakevens": [
        743.435,
        793.565
      ],
      "legs_summary": [
        {
          "action": "SELL",
          "expiration": "2026-10-09",
          "iv": 0.1433,
          "premium": 5.155,
          "quantity": 1,
          "strike": 749.0,
          "type": "PUT"
        },
        {
          "action": "SELL",
          "expiration": "2026-10-09",
          "iv": 0.1064,
          "premium": 3.805,
          "quantity": 1,
          "strike": 788.0,
          "type": "CALL"
        },
        {
          "action": "BUY",
          "expiration": "2026-10-09",
          "iv": 0.1014,
          "premium": 0.985,
          "quantity": 1,
          "strike": 804.0,
          "type": "CALL"
        }
      ],
      "max_loss": -1943.5,
      "max_profit": 556.5,
      "net_delta": -0.0046,
      "net_premium": -556.5,
      "net_theta": 0.1098,
      "net_vega": -0.6744,
      "pnl_curve": [
        [
          579.2,
          -1943.5
        ],
        [
          583.0949,
          -1943.5
        ],
        [
          586.9899,
          -1943.5
        ]
      ],
      "probability_of_profit": 49.4,
      "risk_reward_ratio": 0.2863,
      "stock_price": 770.25,
      "strategy_name": "Iron Condor",
      "ticker": "SPY"
    },
    "created_at": "2026-09-08T08:07:39.442751",
    "legs": [
      {
        "action": "SELL",
        "delta": -0.2475,
        "expiration": "2026-10-09",
        "iv": 0.1433,
        "premium": 5.155,
        "quantity": 1,
        "strike": 749.0,
        "theta": -0.1721,
        "type": "PUT",
        "vega": 0.7443
      },
      {
        "action": "SELL",
        "delta": 0.2561,
        "expiration": "2026-10-09",
        "iv": 0.1064,
        "premium": 3.805,
        "quantity": 1,
        "strike": 788.0,
        "theta": -0.121,
        "type": "CALL",
        "vega": 0.7869
      },
      {
        "action": "BUY",
        "delta": 0.1014,
        "expiration": "2026-10-09",
        "iv": 0.1014,
        "premium": 0.985,
        "quantity": 1,
        "strike": 804.0,
        "theta": -0.0655,
        "type": "CALL",
        "vega": 0.4502
      }
    ],
    "name": "Iron Condor",
    "optimization_target": "max_profit",
    "stock_price": 770.25,
    "ticker": "SPY"
  }
}

Every response is wrapped as {"success": true, "data": {...}}. Lists in the sample are cut to a few rows so it fits on a page; the shape is exactly what your code receives.

Parameters

Bounded,
and the bounds are stated.

Out-of-range numbers are clamped to the documented range, never silently changed to something else. A missing required field returns 400 with the reason.

NameInDefaultRangeMeaning
ticker requiredbodysymbolThe underlying.
strategy_type requiredbodyiron_condor or credit_spreadWhich structure.
targetbodymax_profitmax_profit, min_loss, risk_reward, probabilityWhat to optimize.

Field by field

What each
number means.

legs[]
The winning legs.
analysis
The economics of the winner.
optimization_target
Echo of the objective.

Access, limits, errors

Before the
first call.

Plan
Basic Basic and above. Tokens are issued to paid and trial accounts from $55 a month; each endpoint follows the tier of its web feature. An endpoint above your plan answers 402 and names the plan it needs.
Auth
Bearer token, prefix avmcp_, created under Account, then API Access. Shown once, hashed at rest, rotates in one click. Always call https://apexvol.com, never www.
Limits
60 requests a minute and 1,000 an hour per token, plus a monthly allowance by plan. Every response carries the remaining counts in X-RateLimit-* headers; a 429 carries Retry-After in seconds.
Errors
401 no or revoked token; 429 Retry-After seconds; 400 missing or malformed body. The full list with payload shapes is on the errors page.
Since
API 1.0. Units, bases and timestamps follow the conventions shared by every endpoint; changes are logged in the API changelog.
Machine-readable
This page as Markdown, the family as one file, the whole API as llms-full.txt or OpenAPI 3.1.

The same data, in plain English

Ask for it
in an MCP client.

Connect the ApexVol MCP server and the assistant calls optimize_strategy by name. One URL, a sign-in, no token to paste.

Prompts that hit this endpointcopy one into Claude, Cursor or ChatGPT
You

Find the best-probability iron condor on SPY.

You

Optimize a credit spread on NVDA for risk-reward.

You

Which strikes maximize credit on a QQQ condor?

More in the prompt library. Set the server up in Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, Windsurf or Gemini CLI.

Next

The rest of the family,
and the explainer behind it.

Strategies APIName a strategy and a ticker and get the legs, Greeks, breakevens and probability of profit back. Send your own legs for the same analysis, let a grid search pick the strikes, or re-price a whole chain under a hypothetical move. Iron Condor Cheat Sheet: Setup & Exit RulesPrintable iron condor cheat sheet: 30-45 DTE setup, 16-20 delta short strikes, 1/3-width credit rule, 50% profit exit and adjustments. optimize_strategy in an MCP clientPrompts for Claude, Cursor and ChatGPT that call this tool.

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