Choose a Reliable
0DTE Options Data API如何选择可靠的
0DTE 期权数据 API
Evaluate same-day chains, source timestamps, Greeks, intraday history, throughput, and licensing before an API reaches research or execution.
在将 API 用于研究或实盘前，应系统评估当日到期期权链、数据源时间戳、
希腊值、盘中历史数据、吞吐能力与许可条款。
TL;DR核心摘要
A useful 0DTE options data API must identify contracts expiring today and deliver internally consistent quotes, trades, Greeks, IV, and source timestamps fast enough for the intended workflow.
A current-looking chain can still mix delayed quotes, stale open interest, vendor-calculated analytics, and incomplete strikes. Validate every field rather than trusting a “real-time” label.
真正可用的 0DTE 期权数据 API 必须准确识别当日到期合约，并以满足目标工作流时效要求的速度，返回各字段口径一致的报价、成交数据、希腊值、隐含波动率和数据源时间戳。
看似最新的期权链仍可能混入延迟报价、滞后的未平仓量、服务商自行计算的分析指标，或存在行权价覆盖不完整的问题。不要仅凭“实时”标签判断数据质量，应逐字段校验。
For monitoring and education, periodic full-chain snapshots may be sufficient. For alerts, market making, or execution, use a synchronized snapshot plus streaming updates, explicit sequence or recovery behavior, and measured end-to-end latency. For historical research, require quote-level records that can reconstruct the chain as it appeared before the decision. The correct feed depends less on the “0DTE” label than on whether it preserves timing, contract state, and executable market context during the final hours.
用于行情监控或教学时，定期获取完整期权链快照可能已经足够；用于提醒、做市或交易执行时，则需要同步快照加流式更新、明确的序号或恢复机制，以及实测的端到端延迟；用于历史研究时，应要求报价级记录能够还原决策发生前的期权链。数据源是否真正适用，与“0DTE”标签本身关系不大，关键在于它能否在到期日前最后几个小时保留准确的时间、合约状态和可成交行情环境。
What a 0DTE options data API must provide0DTE 期权数据 API 必须提供哪些数据？
Zero-days-to-expiration is a contract state, not a separate asset class. The API must resolve the trading calendar before returning today’s contracts. For index products, confirm settlement style, last trading time, and holiday handling.
0DTE 表示期权合约将在当前交易日到期，它描述的是合约的到期状态，而非独立的资产类别。API 必须先根据交易日历确定当前交易日期，再返回当日到期合约。对于指数产品，还要确认结算方式、最后交易时间与节假日处理规则。
Require a stable identifier, call/put, strike, expiration, exercise style, multiplier, and exchange. Test deep in- and out-of-the-money strikes, not only contracts near spot.
Bid, ask, sizes, trades, volume, and quote condition need source timestamps and a clear time zone. Open interest is normally daily, not a live intraday field.
Determine whether rapidly changing Greeks and IV are exchange-supplied or modeled, which price drives the model, and how zero bids or crossed markets are handled.
Resolve the exchange calendar, early closes, last trading time, AM- versus PM-settlement, cash versus physical settlement, and any product-specific cutoff. A contract can stop trading before the calendar date used in a simple expiry filter.
A chain assembled contract by contract may mix several market moments. Preserve snapshot time, per-contract event time, underlying reference time, sequence information, and completeness so spreads and surface calculations do not combine stale wings with a fresh at-the-money quote.
Include bid and ask sizes, quote conditions, trade conditions, exchange, halt status, and spread. Last price alone can come from an old trade and should not be treated as an executable 0DTE value.
Confirm event or snapshot frequency, retention length, correction policy, and whether expired same-day contracts remain queryable after the session. A live feed without replay cannot independently support a historical 0DTE study.
数据至少应包含稳定的合约标识、期权类型（看涨或看跌）、行权价、到期日、行权方式、合约乘数与交易所。验收时应覆盖深度实值与深度虚值的行权价档位，而非只测试标的现价附近的合约。
买价、卖价、买卖盘挂单量、成交记录、成交量与报价条件代码都应附带数据源时间戳，并明确标注时区。未平仓量通常每天更新一次，并非实时盘中字段。
需要确认随行情快速变化的希腊值与隐含波动率是由交易所直接提供，还是由服务商通过模型计算；同时还应了解模型采用何种价格作为输入，以及如何处理买价为零或买卖价倒挂的情况。
必须正确处理交易所日历、提前收盘、最后交易时间、上午或下午结算、现金或实物交割，以及产品特有的截止规则。部分合约可能在简单日期筛选所使用的到期日之前就已经停止交易。
逐合约拼接期权链，可能把多个市场时刻混在一起。应同时保留快照时间、各合约事件时间、标的参考价时间、序号信息和完整度，避免用刚更新的平值报价与陈旧的两翼报价计算价差或波动率曲面。
数据应包含买卖盘报价量、报价条件、成交条件、交易所、停牌状态和价差。最新成交价可能来自很久以前的一笔交易，不能直接视为 0DTE 合约当前可成交价格。
确认事件或快照频率、留存期限、更正政策，以及当日到期合约在收盘后是否仍可查询。只有实时流而没有历史回放的数据源，无法独立支持 0DTE 历史研究。
Match the feed to the 0DTE workload按 0DTE 使用场景选择数据源
| Workload使用场景 | Minimum useful data最低必要数据 | Critical test关键测试 | Main risk主要风险 |
|---|---|---|---|
| Chain monitor期权链监控 | Snapshots, quotes, Greeks, IV.快照、报价、希腊值、隐含波动率。 | Refresh a full chain under quota.在请求配额内刷新完整期权链。 | Mixed-time snapshots.快照内各字段的时间戳不一致。 |
| Live execution实盘交易 | Streaming quotes and trades.流式报价与逐笔成交数据。 | Measure p95 and recovery.测量 p95 延迟与故障恢复能力。 | Polling misses changes.轮询可能遗漏行情变化。 |
| Intraday research盘中研究 | Timestamped history.带时间戳的盘中历史数据。 | Reconstruct one instant.重建指定时刻的市场状态。 | Incomplete strikes.历史期权链缺少部分行权价。 |
| Backtesting历史回测 | Historical quotes and trades.历史报价与成交记录。 | Prevent look-ahead.避免前视偏差。 | Snapshots miss execution.快照可能无法反映实际可成交价格。 |
Translate the workload into a capacity budget. Count the underlyings, expirations, strikes, refreshes per minute, analytics fields, and simultaneous users; then include discovery calls, reconnect snapshots, retries, and bursts around the open or final hour. This reveals whether a nominally generous request limit can refresh a complete chain before its earliest quote becomes stale.
还应把使用场景换算成容量预算：统计标的数量、到期日、行权价档位、每分钟刷新次数、分析字段和同时在线用户，再加入合约发现请求、重连快照、重试，以及开盘或收盘前最后一小时的突发流量。这样才能判断宣传上看似宽松的请求配额，是否真的能在期权链中最早一条报价变得陈旧之前完成整链刷新。
How to validate a 0DTE API如何验证 0DTE API
Capture contract lists, source and arrival timestamps, underlying prices, and a comparison feed near the open, midday, and the final hour.
Count calls for discovery, quotes, and analytics. Then test 429 handling, retry headers, caching, and concurrent connections.
Confirm entitlements, retention, derived-data rights, and redistribution. Record uptime, correction policy, schema versioning, and missing-field behavior.
Use regular sessions, early closes, holidays, expiration mornings, and products with different settlement conventions. Verify that “expires today” follows the venue’s trading date and last tradable moment.
For each capture, compare the newest and oldest source timestamps, expected versus returned strikes, duplicate IDs, crossed markets, zero bids, and the underlying-price timestamp. Set a maximum acceptable skew.
Disconnect the client, drop messages, rotate credentials, and trigger a rate limit. Confirm how the feed signals a gap, whether sequence recovery is possible, and when a fresh snapshot is mandatory.
Replay decisions using only information available before each timestamp. Apply quote-age, size, spread, slippage, and no-fill rules; keep model-generated Greeks separate from observed exchange events.
分别在开盘前后、午盘时段和收盘前一小时，同步采集合约列表、数据源时间戳、数据到达时间、标的资产价格及对照行情源数据。
统计合约检索、行情报价和分析功能各自所需的请求次数，再验证 429 响应处理、重试相关响应头、缓存策略和并发连接限制。
确认数据访问授权、留存期限、衍生数据使用权和再分发权限，并记录服务可用率、数据更正政策、数据结构的版本管理方式及字段缺失时的处理规则。
分别测试普通交易日、提前收盘、节假日、到期日上午，以及结算规则不同的产品，确认“今天到期”的判断遵循交易场所的交易日期和最后可交易时刻。
每次采样都要比较最早与最新的数据源时间戳、预期与实际返回的行权价数量、重复 ID、买卖价倒挂、零买价，以及标的价格的时间戳，并设定可接受的最大时间偏差。
主动断开客户端、模拟消息丢失、轮换凭据并触发限流，确认数据源如何提示缺口、能否按序号补回数据，以及何时必须重新拉取完整快照。
只使用每个历史时点之前真实可得的信息回放决策，并应用报价年龄、报价量、价差、滑点和无法成交规则；模型生成的希腊值应与交易所观测事件分开保存。
Worked chain-coherence example. At 15:59:59.500 ET, an application receives an underlying value stamped 15:59:59.200, a same-strike call quote of $2.10 × $2.30 stamped 15:59:59.120, and a put quote of $1.85 × $2.05 stamped 15:59:55.200. The apparent midpoint cost of the straddle is $4.15, but its two legs are almost four seconds apart—material during the final minutes of a 0DTE session. Keep the per-contract source times, calculate the chain’s oldest-to-newest skew, and reject or flag combinations above the workload’s tolerance rather than treating the arrival time as proof of synchronization.
期权链时间一致性示例。 美东时间 15:59:59.500，应用收到一条标的价格，其来源时间为 15:59:59.200；同一行权价的看涨期权报价为 2.10 × 2.30 美元，来源时间为 15:59:59.120；看跌期权报价为 1.85 × 2.05 美元，来源时间却是 15:59:55.200。表面上，跨式组合的中间价成本为 4.15 美元，但两条腿相差近 4 秒，在 0DTE 最后几分钟可能已经具有实质影响。应保留每份合约的来源时间，计算整条期权链最早与最新数据之间的偏差，并对超过业务容差的组合拒绝计算或明确标记，不能把相近的到达时间当作同步证据。
Use QVeris to discover 0DTE data capabilities用 QVeris 查找可用的 0DTE 数据接口
QVeris helps developers and AI agents find callable option-chain, quote, trade, Greeks, IV, and historical capabilities, then inspect inputs, outputs, and provider boundaries before routing a request. The application still owns trading-calendar logic, synchronized state, latency and gap testing, contract normalization, execution assumptions, and compliance with the provider’s market-data rights.
QVeris 可帮助开发者和 AI 智能体查找可调用的期权链、报价、成交、希腊值、隐含波动率和历史数据能力，并在路由请求前检查输入、输出及供应商边界。交易日历逻辑、同步市场状态、延迟与数据缺口测试、合约标准化、成交假设，以及对行情数据授权的遵守，仍由应用方负责。
- Search for option chain, quote, Greeks, implied volatility, trade, and historical-data capabilities.
- 搜索能够提供期权链、报价、希腊值、隐含波动率、成交数据或历史数据的接口。
FAQ常见问题
Usually, but product calendars and settlement conventions matter. Filter using the exchange trading date and contract metadata, not a naive difference between UTC dates.
Only for coarse research when snapshots are historically timestamped and complete. Execution-sensitive testing usually needs historical quotes or events, spread assumptions, and protection against look-ahead bias.
通常是，但还需要结合产品交易日历与结算规则判断。筛选时应采用交易所定义的交易日和合约元数据，不能仅根据两个 UTC 日期之间的日期差进行判断。
如果历史快照带有准确的采集时间戳且数据完整，可用于较粗粒度的研究。对交易执行敏感的测试通常还需要历史报价或事件级数据、买卖价差假设，并采取措施避免前视偏差。
Usually not. Open interest is generally calculated and published on a daily cycle, so label its as-of date separately from intraday volume, quotes, and trades.
REST can support occasional chain monitoring. Execution-sensitive workflows normally need streaming updates, plus a REST snapshot for initialization and recovery. Test both against the same source timestamps.
They may use different underlying prices, rates, dividends, time-to-expiry conventions, pricing models, smoothing, or quote filters. Store the calculation time and methodology before comparing values.
Use contemporaneous bid and ask, available size, quote age, spread, latency, slippage, and a no-fill outcome. Filling every order at midpoint materially overstates many same-day strategies.
通常不是。未平仓量一般按日计算和发布，因此要单独标注其数据日期，不能与盘中成交量、报价和逐笔成交共用同一“实时”口径。
偶尔监控期权链时，REST 可以满足需求；对执行时效敏感的工作流通常需要流式更新，并用 REST 快照完成初始化和故障恢复。两种方式都应按同一数据源时间戳进行实测。
原因可能包括标的价格、利率、股息、剩余期限口径、定价模型、平滑方法或报价过滤规则不同。比较之前应先保存计算时间和方法说明。
应使用同时点的买卖报价、可成交数量、报价年龄、价差、延迟、滑点和无法成交结果。把所有订单都按中间价成交，会明显高估许多当日到期策略。