Which Nations Will Officially Recognize Israel by Dec. 31, 2026?
This market will resolve to "Yes" if the listed country officially recognizes Israel as a state between market creation and December 31, 2026, 11:59 PM ET. Otherwise, this…
Which countries will recognize Israel by December 31?
Several deadline markets are grouped under one Polymarket event. Closed dates are archived; the live view focuses only on active deadlines.

Price, depth and useful dates
An editorial view of the signal: what leads, how much activity is behind it, and which date carries the risk.
Deadline map
Here’s a thinking process:
1. **Analyze User Request:**
– **Role**: Editor for The Cryptocurrency Post
– **Task**: Produce a compact but high-value market brief about a specific Polymarket event
– **Event**: “Which countries will recognize Israel by December 31?” (event_id: 548796, market_id: 2412367)
– **Constraints**:
– Must perform current web research when web search is available
– No reusable boilerplate
– Not simple YES/NO; must inspect event_markets, outcomes, prices
– Explain actual market structure in plain language
– Use recent, reliable context from web
– Cite sources with HTML anchors only when used
– Avoid dumping data; focus on few facts that change understanding
– Don’t invent facts; say what must be verified
– **Required Structure**:
–
What is happening now
–
How the market is structured
–
Path to the leading outcome
–
What could change the pricing
–
Editorial read
– **Format**:
– Clean HTML only
– Use h2, h3, p, ul, li, strong, a tags only
– Target 600-900 words
– No betting/trading/investment/legal/tax advice
– **Market Data Provided**: JSON with full event details, 16 sub-markets, volume, prices, leaders, etc.
2. **Identify the Core Event:**
– Event: “Which countries will recognize Israel by December 31?”
– It’s a grouped event with 16 country-specific binary markets (Yes/No)
– Each sub-market resolves based on formal government recognition of Israel as a state by Dec 31, 2026, 11:59 PM ET
– Key detail: “An announcement of intentions will not suffice… Only a government’s formal recognition…”
– The JSON shows `display_model` with `market_shape: “date_ladder”`, but looking at the sub-markets, they’re all binary Yes/No with same deadline. The `display_model` says “Several deadline markets are grouped under one Polymarket event. Closed dates are archived; the live view focuses only on active deadlines.” Actually, all have same end_date. It might be a “candidate” or “range” but structure is 16 binary markets under one event.
– Leading outcomes from `display_model->key_outcomes`: Iran (No 93.7%), Cuba (No 97%), Venezuela (No 87.5%), Pakistan (No 95.5%), Saudi Arabia (No 89%)
– From `outcome_board`: same 5 countries listed as No leaders
– Volume: total 648,040.69; 24h 202,388.30; liquidity 185,086.75; open interest 146,527.27
– Venezuela has by far the most volume (287,878.96) and 24h volume (193,384.41) – dominant
– Yes prices range from 3.05% (Cuba) to 35.25% (Qatar). Most are 3-13% Yes.
– Venezuela Yes at 12.5%, No at 87.5%
3. **Determine Need for Web Research:**
– The user says “You must perform current web research before writing when web search is available.” I need to check if I can do web search. As an AI, I don’t have live web search capability unless a plugin/tool is provided. The prompt says “Use current research only when the OpenRouter web plugin is available.” But it’s not explicitly available here. However, the prompt also says “Recent web research for this market. Use only relevant, reliable results and cite sources with links:” and then gives a big JSON with data. It might be that the JSON is the “research” or I need to actually research. But I can’t browse the web. I should note that I’ll rely on the provided data and maybe cite known context, but I must be careful.
– Actually, re-reading: “Recent web research for this market. Use only relevant, reliable results and cite sources with links:” followed by the JSON. This might be a test where the JSON IS the research results. I should use it. But I also need to “perform current web research when web search is available.” Since I don’t have a web search plugin in this interface, I’ll work with the provided JSON and maybe add brief, verified context without fabricating links. However, the constraint says “Cite sources with links in normal HTML anchors only when you used them.” I’ll need to cite the JSON source or maybe the Polymarket event page. But the JSON doesn’t have a source link per se; it has `polymarket_url`. I can link to that.
– I should probably do a quick mental check: The event is about countries recognizing Israel by Dec 31, 2026. The data shows prices. I should explain the structure, the leading outcomes, what would make Yes resolve, etc.
– To be safe, I’ll structure the brief using the provided JSON data, explain the market structure, and mention that verification of actual government actions will be needed by resolution. I’ll cite the Polymarket event page and the JSON data source. Since I can’t actually run web search, I’ll rely on the given data and maybe add general known facts that are verifiable, but I’ll keep it minimal and data-driven.
Wait, the prompt says: “You must perform current web research before writing when web search is available. The article must explain what is happening now, not generic market theory.” and “Recent web research for this market. Use only relevant, reliable results and cite sources with links:” then the JSON. This suggests the JSON is the research output. I’ll treat it as such.
Let me re-read carefully: The user pasted a system prompt and then market data in JSON format. The actual instruction is: “Write a compact but high-value The Cryptocurrency Post market brief about this exact Polymarket event.” Then there are rules. Then “Market data:” followed by the JSON. So the JSON is the market data I should use. I need to write the brief based on this JSON, without inventing facts outside it, but I can interpret it. I should also “perform current web research when web search is available” – but since I’m an AI without live search in this context, I’ll work with the JSON and maybe add a note that actual resolution depends on government actions, but I won’t invent news.
Actually, looking at the JSON, it’s comprehensive. I’ll base the brief entirely on it.
Let me outline the brief using the required structure:
**What is happening now**: The Polymarket event “Which countries will recognize Israel by December 31?” comprises 16 individual binary markets, each asking whether a specific country will formally recognize Israel as a state by Dec 31, 2026, 11:59 PM ET. Total volume ~$648k, 24h volume ~$202k. Leading No outcomes: Iran 93.7%, Cuba 97%, Pakistan 95.5%, Saudi Arabia 89%, Venezuela 87.5%. Yes outcomes are minor across the board, with Qatar at 35.3% Yes standing out as the highest, though still No-favored.
**How the market is structured**: It’s a grouped event with 16 sub-markets (Venezuela, Iran, Saudi Arabia, Lebanon, Iraq, Pakistan, Syria, Afghanistan, Indonesia, Malaysia, Bangladesh, Cuba, North Korea, Kuwait, Qatar, Tunisia). Each is a Yes/No binary market resolving on formal government recognition of Israel. No announcement-only counts. All share the same deadline. The display model shows it as a “date_ladder” but all deadlines are identical; it’s essentially a multi-candidate binary aggregation. Leading outcome per sub-market is No. Volume is heavily concentrated in Venezuela ($287k of the total), with significant 24h rebalancing.
**Path to the leading outcome**: For any country’s “Yes” to resolve, that country’s government must officially and formally recognize Israel as a state between market creation and Dec 31, 2026. Announcements, diplomatic gestures, or statements of intent don’t count. Verification will come from official government statements, state media, or consensus of credible reporting. Given current prices, markets imply very low probability of this happening for most countries by the deadline.
**What could change the pricing**: A sudden policy shift, official diplomatic communiqué, or recognized de facto state change from any of the 16 countries. Given volume concentration in Venezuela, any credible report of Venezuela recognizing Israel would move its market dramatically. Similarly, Qatar’s relatively high Yes price (35.3%) suggests traders are pricing in a non-zero chance, possibly linked to regional dynamics. Any Middle East diplomatic breakthrough, normalization talks, or official visits could shift prices. The 24h volume spike in Venezuela ($193k) indicates active repositioning, possibly on news or speculation.
**Editorial read**: The market reflects a consensus that formal recognition by these countries before end-2026 is unlikely, with Iran, Cuba, Pakistan, and Saudi Arabia heavily priced for “No.” Venezuela’s market alone accounts for 44% of total volume, making it the focal point of trading activity. The structure funnels trader interest into 16 yes/no binary positions on a single deadline, creating a snapshot of perceived geopolitical momentum. Readers should note that resolution depends entirely on verifiable government action, not campaign rhetoric or leaks. The data suggests most traders are betting on status quo or hostility, with only Qatar showing a meaningful Yes bid, possibly reflecting distinct regional dynamics.
Now, check word count: needs to be 600-900 words. My outline is rough. I’ll need to expand to meet word count while staying concise and data-driven. I’ll flesh out each section with specifics from the JSON, explain the market structure in detail, mention volume distribution, leading outcomes, etc. I’ll avoid fluff. I’ll cite the Polymarket event URL and maybe the JSON source. Since the JSON has `polymarket_url`, I’ll link to that. I’ll also note that the data is as of the `updated_at` timestamp.
Let me structure the HTML carefully:
“`html
What is happening now
…content…
How the market is structured
…content…
Path to the leading outcome
- …
What could change the pricing
- …
Editorial read
…content…
“`
I need to ensure I use only allowed tags: h2, h3, p, ul, li, strong, a. I can use strong for emphasis. I’ll avoid tables, divs, etc.
Let me gather all relevant data points from the JSON to weave in:
– Event ID 548796, title “Which countries will recognize Israel by December 31?”
– Question: “Will Venezuela recognize Israel by December 31?” but actually it’s 16 sub-markets. The main question seems Venezuela-specific in the title, but the event has 16 markets. The `display_model` headline is “Which countries will recognize Israel by December 31?” and subtitle mentions several deadline markets grouped under one event. The primary market ID is 2412367 which is Venezuela. So the event is framed around Venezuela but contains 16 sub-markets.
– Total volume: 648,040.6929320002
– 24h volume: 202,388.304371
– Liquidity: 185,086.75008
– Open interest: 146,527.26985399995
– yes_price for Venezuela: 0.125 (12.5%), no_price: 0.875 (87.5%)
– Venezuela volume: 287,878.96121000015 (44.4% of total)
– Venezuela 24h volume: 193,384.414049 (95.6% of its total volume in 24h! extreme activity)
– Leading outcomes from outcome_board: Iran No 93.7%, Cuba No 97%, Venezuela No 87.5%, Pakistan No 95.5%, Saudi Arabia No 89%
– key_outcomes same 5.
– Yes prices: Venezuela 12.5%, Cuba 3.05%, Saudi Arabia 11%, Lebanon 9.5%, Afghanistan 6.65%, Iraq 4.05%, Pakistan 4.5%, Syria 6.5%, Kuwait 7.5%, Qatar 35.
This analysis is provided for informational and editorial purposes only. Market signal prices reflect market-implied expectations, not verified outcomes or recommendations. Markets can be illiquid, volatile, and subject to ambiguous resolution criteria.