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Data Bounty: Binance BTC/USDT Historical Market Data (4 Types, Jan–Oct 2026 UTC)
Estimated duration
~3d
Deadline
Sat, Nov 7, 2026
Location
Remote only
•
PRICING
$50 fixed
USD
DESCRIPTION
Bounty: Binance BTC/USDT historical market data — 4 types (2026-01 to 2026-10, UTC) We are doing internal research (BTC 5-minute direction model) and need a few historical datasets. Bounty for valid source leads or direct delivery.
Rewards Valid source leads / introductions (after we verify availability): $15 per lead, fixed — non-negotiable (free sources only; paid-vendor/subscription leads are out of scope for this bounty). Direct data delivery (after sample + full acceptance): priced by volume & quality — budget available, negotiable. Requirement: data must be legally usable for internal research; leaked/stolen data will not be accepted. Data Needed (by priority; coverage = Jan 2026 to Oct 2026, UTC)
- Spot L2 order book — updates WITH full snapshots (highest priority)
Binance Spot, BTC/USDT; diff-depth updates plus periodic / event-driven full snapshots — incremental-only data is not usable received_time (arrival, nanoseconds) + event_time (ms) preferred; please state if only exchange time is available 2. Spot bookTicker (best bid/ask) full event stream
Binance Spot, BTC/USDT; one record per best bid/ask change, with receive time 3. Liquidation data (hourly)
Binance USD-M Futures, BTC/USDT; hourly files with receive time 4. Trades with receive timestamp
Binance Spot, BTC/USDT; full event stream with arrival timestamp Not needed (already complete) aggTrades, klines, funding rate, premium index, open interest / long-short ratio, implied volatility (DVOL).
Delivery & acceptance A 1–2 day sample first (fields, time semantics, coverage); Per-file SHA256 + row counts; Honest missing-data reporting (no filling, no silent drops); Format: Parquet / CSV. Contact 【Fill in: WeiXin +86 18211535457 / QQ 3059191522 / Email [email protected] / DM】
悬赏找数据：币安 BTC/USDT 历史行情 4 类（2026 年 1 月至 10 月，UTC） 我们在做 BTC 5 分钟方向预测的内部研究，需要补几块历史数据。能提供有效渠道线索、或直接交付数据的朋友，都有赏金。
赏金说明 渠道线索 / 牵线引荐：提供免费可获取的有效来源（我们核实可用后）：15 美元 / 条，固定，不可谈（可折合人民币支付；商业数据商订阅类线索不在悬赏范围内）。 直接交付数据：通过样本验收 + 全量验收后：按数据量与质量议价，预算充足、可谈。 要求：数据须可合法用于内部研究；来源不明的侵权、盗售数据不收。 我们需要的数据（按优先级；范围均为 2026 年 1 月至 10 月，UTC） ① 现货 L2 订单簿——增量 + 完整快照（最高优先级）
币安现货 BTC/USDT；深度增量（diff-depth）必须同时包含周期性 / 事件性完整快照——只有增量、没有快照的数据无法使用 时间语义：优先 received_time（接收时间，纳秒）+ event_time（毫秒）；若只有交易所时间请注明 ② 现货 bookTicker（最优买卖价）全事件流
币安现货 BTC/USDT；每次最优买/卖价或量变化一条记录，带接收时间 ③ 强平数据（小时级）
币安 U 本位永续 BTC/USDT；小时文件，带接收时间 ④ 带接收时间戳的逐笔成交
币安现货 BTC/USDT；全事件流，带到达时间 不需要（已齐备） aggTrades、K 线、资金费率、溢价指数、持仓量 / 多空比、隐含波动率（DVOL）。
交付与验收 先提供 1–2 天样本核对字段、时间语义与覆盖率； 附逐文件 SHA256 + 行数清单； 缺失如实说明（不填充、不静默丢行）； 格式：Parquet / CSV。 联系方式 【填写：18211535457 微信 / QQ / [email protected] 邮箱 / 站内私信】
DEFINITION OF DONE
Task is complete when the applicant either: (a) provides a verified, working channel lead for one or more of the 4 listed data types that we can confirm is accessible and legally usable, OR (b) delivers actual data files that pass both the sample verification (1–2 day sample with correct fields, time semantics, and coverage) and the full dataset verification (with SHA256 checksums and row count manifest). Data must be in Parquet or CSV format and cover the Jan–Oct 2026 UTC range for the specified data types.
REQUIRED EVIDENCE
🔗 Link / URL📝 Text / Data
EVIDENCE DETAILS
For channel leads: provide a text description of the source, including the URL or platform name, how to access it, and which data type(s) it covers. For direct data delivery: provide a download link (e.g. cloud storage) to the sample files (1–2 days), along with a text manifest listing per-file SHA256 checksums and row counts. Full dataset link to be shared after sample approval.
REQUIREMENTS
- •
Familiarity with cryptocurrency market data infrastructure
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Ability to source or deliver legally obtained raw market data
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Understanding of order book data formats, WebSocket streams, or exchange data APIs
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Honest disclosure of any coverage gaps or missing fields
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Must not deliver pirated, stolen, or unauthorized resold data
SKILLS NEEDED
cryptocurrency datamarket microstructureBinance APIorder book dataquantitative financedata engineering