内测开放中 · 限额 100 席 Private beta · 100 seats

不是再看更多信息,先拿到一条能落地的
跨市场情绪因子
Not more data. More signal.
Deliverable cross-market sentiment factors.

不是再做信息聚合。alphapulse 当前已接通 4 个核心平台(财联社 / 公众号 / 抖音 / YouTube),先把 情绪 → 一致性 → 因子信号这条链路收回来。 系统输出来源一致性评分、冲突标签和可复盘的结构化信号,三 Agent 并发后直接给研究系统取数。 Stop aggregating feeds by hand. alphapulse is live on 4 core platforms today (CLS, WeChat MP, Douyin, YouTube). It turns sentiment into a cross-market factor with consistency scoring, conflict labeling, and structured outputs for your strategy stack.

申请内测席位 →Claim a beta seat →
  • 4 研究输入源Live sources
  • 3 一致性维度Consistency tiers
  • 3 决策 AgentDecision agents

01 — 信号噪音01 — Signal vs. noise

抖音说利好,公众号说风险
到底信谁?
Douyin says bullish. WeChat says risk.
Who do you trust?

CONFLICT · 冲突

某消费股 · 食品安全事件 Consumer stock · food safety

  • Douyin+0.62
  • 公众号−0.74
  • CLS−0.51
一致性评分 Consistency 0.45

提前 30 分钟触发一致性预警,避开次日开盘 −7% 缺口。 Pre-warning fired 30 min before open. Avoided the next-day −7% gap.

CONSENSUS · 共识

特斯拉 4680 电池量产 Tesla 4680 battery ramp

  • YouTube+0.81
  • Xueqiu+0.78
  • 公众号+0.85
一致性评分 Consistency 0.92

四平台高度共振,研究员当日纳入产业链跟踪池。 4 platforms resonating. Added to supply-chain tracking pool same day.

02 — 系统能力02 — What it does

不是聊天助手,先给你一条可复盘的信号。
研究可直接接入回测与交易系统。
Not a chatbot. A reproducible signal output
that plugs into backtest and execution systems.

01

跨市场情绪因子化 Cross-market factorization

文本、音频、视频统一到统一坐标,输出 0-1 一致性评分与冲突分层。当前实时接通 财联社 · 公众号 · 抖音 · YouTube 四大渠道,雪球 / 微博 / 小红书等持续扩展中。 Text, audio, and video are normalized into a shared factor space. Output is a 0-1 consistency score plus conflict tiers. 4 channels are live now (CLS, WeChat MP, Douyin, YouTube); Xueqiu, Weibo, Xiaohongshu are being onboarded.

02

结构化输入 BETA Structured input BETA

不以对话替代判断,而是把一句问题转成可调度研究任务。语音和文本都可输入,返回 JSON(source_map、signal、reason、confidence)。 Not chit-chat. A question becomes a structured task. Both voice and text are accepted, returning JSON (source_map, signal, reason, confidence).

03

三 Agent 并发 3-agent concurrency

Alpha · Research · Risk 三 Agent 通过 asyncio.gather 并发跑同一份融合上下文,故障隔离 + 8 秒超时。 Alpha · Research · Risk run via asyncio.gather over a shared fusion context. Failure-isolated, 8 s per-agent timeout.

04

可复盘决策链 Auditable decision chain

输出不止 BUY / SELL。系统保留板块 verdict、龙头来源、多空配对与置信度,并可形成 {"signal": "pair_trade", "long": "...", "short": "...", "reason": "..."} 结构化输出。 Not just BUY / SELL. The system keeps sector verdicts, leader provenance, pair trade tags, and confidence weights in a structured output like {"signal": "pair_trade", "long": "...", "short": "...", "reason": "..."}.

05

捕捉市场脉动 Catch every market pulse

夜盘、休市、海外时段持续采集与监控,关键脉冲触发推送 — 不漏凌晨那一条。 Continuous collection through after-hours, holidays and overseas sessions. Every meaningful pulse pushes to you — never miss the 3 AM one.

03 — 谁在用03 — Who it's for

三类研究者设计。 Built for three kinds of researchers.

P0 · QUANT

私募 / 量化研究员 Quant fund researcher

3 人/天扑在社交平台上扒数据,因子覆盖率不到 20%,新因子出得比同行慢一个季度。 3 person-days a week scraping social. Factor coverage under 20%. New factors a quarter behind peers.

  • 采集效率collection speed
  • 因子覆盖factor coverage
  • 3-8 新因子/季new factors/qtr
P0 · INDIVIDUAL

个人主动投资者 Active individual investor

每天 30 分钟到 2 小时盯盘看消息,被自媒体拉扯,事后才发现真正的关键信号在另一个平台。 30 min – 2 hr a day chasing headlines. Whipsawed by influencers. The real signal was on a platform you didn't check.

  • 结构化输入structured input
  • All 主流渠道key channels
  • Daily 早盘速读pre-market brief
P1 · SELLSIDE

卖方分析师 / 媒体 Sell-side analyst / media

行业事件爆发,需要在 1 小时内把跨平台叙事整理成可交付材料,人工不够。 Sector event hits. You need 4 platforms synthesized into a publishable note in 60 min. Manual doesn't scale.

  • 30-60m 预警提前量pre-warning lead
  • 95% 冲突检出conflict detection
  • 4+ 平台同步parallel sources

* 数据为内部基准与早期合作伙伴脱敏样本,非签约客户公开数据。我们在内测期间会逐步用授权后的真实样本替换。 * Numbers are internal benchmarks and de-identified pilot samples. We replace them with authorised real samples as the beta progresses.

04 — 演示04 — See it move

30 秒看完
一次完整研究循环。
30 seconds.
A full research loop.

问题输入(支持语音/文本)→ 跨平台采集 → 一致性与冲突标签 → 板块 verdict / 龙头候选 → 多空配对与仓位信号。我们会展示可复盘 evidence chain、因子快照与样本归因。 Query input (voice or text) → cross-platform collection → consistency and conflict labeling → sector verdicts / leaders → pair-trade signal and sizing. We show an auditable evidence chain, factor snapshots, and attribution sample windows.

提前拿到演示Get the demo first

05 — API 交付05 — API Delivery

一次闭环,两步拿到可复盘的结构化因子与归因结果。 Two-step delivery from factor to attribution for auditable research loops.

把语音/文本输入先转为结构化因子,再按多空对得到回测归因,直接对接回测引擎。 First produce structured factor output, then request attribution on the pair for backtest-ready inputs.

Factor API

多源因子输出Factor output

factor_signals JSON

{"ok":false,"msg":"click to run"}
  • 尚未请求 factor_signals。
  • factor_signals not requested yet.
Attribution

归因复盘样本Attribution sample

可直接复用来自上一步的 pair,或手动填写。 Can reuse pair from step 1 or edit manually.

attribution JSON

{"ok":false,"msg":"run attribution after signal"}
  • 尚未请求 attribution。
  • attribution not requested yet.
Execution Loop

研究闭环看板Execution loop board

在同一视图对齐: Align in a single view:

  • 尚未完成完整闭环调用。
  • No closed-loop execution yet.

05.1 — 接口交付05.1 — API delivery

接口定义即交付标准:从因子到归因的闭环字段 Schema-driven handoff: from factor to attribution and backtest audit.

每次返回都包含 ok/metadata/source_rows/attribution_windows 等可落地字段。以下为当前生产可用请求方式。 Each response includes operational fields such as ok, metadata, source_rows and attribution_windows. Use as-is for integration now.

因子信号:factor-signalsFactor signal: /api/factor-signals

请求:GET /api/factor-signals?query=...&sector=...&mode=demo|prod|live Request: GET /api/factor-signals?query=...&sector=...&mode=demo|prod|live

{"query":"新能源 AI 供应链预期差","sector":"新能源"}
curl -X GET "https://alphaplus-landing.datapro.asia/api/factor-signals?query=%E6%96%B0%E8%83%BD%E8%83%BD&sector=%E5%8D%8E%E7%AB%8B%E9%80%9A"

归因回测:attributionAttribution: /api/attribution

请求:GET /api/attribution?pair=A/B&windows=5,10,20,30&mode=demo|prod|live Request: GET /api/attribution?pair=A/B&windows=5,10,20,30&mode=demo|prod|live

{ "pair": { "long": "BYD", "short": "TSLA" }, "attribution_windows": [...], "factor_snapshot": {"pair_signal_id":"..."} }
curl -X GET "https://alphaplus-landing.datapro.asia/api/attribution?pair=BYD/TSLA&windows=5,10,20,30"

闭环交付:/api/closed-loopClosed-loop delivery: /api/closed-loop

请求:GET /api/closed-loop?query=...&sector=...&windows=5,10,20,30&mode=demo|prod|live Request: GET /api/closed-loop?query=...&sector=...&windows=5,10,20,30&mode=demo|prod|live

返回:factor + attribution + decision 一次性闭环包,前端可直接用于归因复核与回测接入。 Response: one-shot bundle factor + attribution + decision for review and backtest integration.

{
  "ok": true,
  "decision": {
    "pair": "AMD/00700",
    "consistency_score": 0.71,
    "conflict_level": "low",
    "best_window_days": 10,
    "best_sharpe": 2.181,
    "ready_for_backtest": false
  }
}
curl -X GET "https://alphaplus-landing.datapro.asia/api/closed-loop?query=%E6%96%B0%E8%83%BDAI&sector=%E5%8D%8E%E7%AB%8B%E9%80%9A&windows=5,10,20,30"

MCP 网关:/api/mcpMCP gateway: /api/mcp

请求:POST /api/mcp,支持 tool 或 MCP tools/call 标准体 Request: POST /api/mcp, supports tool payload or MCP tools/call body

curl -X POST https://alphaplus-landing.datapro.asia/api/mcp -H "Content-Type: application/json" -d "{\"tool\":\"alpha_pulse.generate_factors\",\"arguments\":{\"query\":\"新能源 AI\",\"sector\":\"AI 处理器\",\"mode\":\"demo\"}}"
curl -X POST https://alphaplus-landing.datapro.asia/api/mcp -H "Content-Type: application/json" -d "{\"name\":\"alpha_pulse.get_attribution\",\"arguments\":{\"pair\":\"BYD/TSLA\",\"windows\":[5,10,20,30]}}"

风控交接映射:闭环字段清单Compliance handoff: closed-loop schema mapping

以下字段可直接映射到研究复核与风控告警系统,形成“单次查询即交付”流程: These fields map directly into research audit and risk-policy systems for single-call handoff.

  • factor.pair / factor.signal.long/short(买入池/做空池):用于入库交易标的与多空配对。
  • decision.consistency_score:一致性评分,触发前置风控阈值。
  • decision.conflict_level:冲突级别,映射到风险分层规则。
  • attribution.attribution_windows[].{window_days, win_rate, sharpe, max_drawdown}:作为回测归因报表 KPI。
  • factor.source_rows[]:证据链与证据来源,作为合规留痕。
{
  "alpha_signal_id": "sig_TSLA_BYD_20260506",
  "pair": {"long":"TSLA","short":"BYD"},
  "consistency_score": 0.71,
  "conflict_level": "high",
  "best_window_days": 10,
  "best_sharpe": 2.18,
  "best_win_rate": 0.71,
  "attribution_windows": [
    {"window_days":10,"win_rate":0.71,"sharpe":2.18,"max_drawdown":-0.084}
  ],
  "source_rows_count": 28
}
curl -X POST https://alphaplus-landing.datapro.asia/api/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"alpha_pulse.run_closed_loop","arguments":{"query":"AI","sector":"新能源汽车","windows":[5,10,20,30]}}}'

闭环接入示例Closed-loop sample

const factor = await fetch('/api/factor-signals?query=...' ).then((r) => r.json());
const pair = `${factor.pair?.long}/${factor.pair?.short}`;
const attribution = await fetch(`/api/attribution?pair=${encodeURIComponent(pair)}`).then((r) => r.json());
// 使用 attribution.attribution_windows 与 attribution.equity_curves 进入回测流水线

06.5 — 齐总汇报包06.5 — Investor brief pack

一页可汇报:从查询到可复盘决策 One-page brief: from query to auditable decision

点击复制后可直接粘贴给齐总:展示闭环参数、决策字段和回测归因。默认输出支持 json/md/csv,便于复盘和风控联调。 Copy this and paste directly for investor review: show loop input, decision fields, and attribution. Output supports json/md/csv for audit and compliance handoff.

# 请先点击「导出闭环报告」生成最新结果
# Please run "Export closed-loop report" first to generate real data

06 — 价格06 — Pricing

内测期全部免费,
正式版从可复盘信号定价。
Free during beta.
Commercial pricing starts from reproducible signal outputs.

免费版Free

¥0 /月/mo

  • 100 次查询 / 月100 queries / month
  • 3 个核心平台3 core platforms
  • 基础一致性评分(1-3 源)Baseline consistency scoring (1-3 sources)
从这里开始Start here

团队版Team

¥299 /月/mo

  • Pro 全部能力Everything in Pro
  • 实时情绪与一致性告警Real-time sentiment and consistency alerts
  • REST + MCP APIREST + MCP API
  • 回测归因与绩效样本Backtest attribution and performance samples
  • 5 人协作席位5 collab seats
联系我们Talk to us

机构 / 量化私募 / 券商可协商「基础服务费 + 超额收益分成」,先做三个月闭环验证。 Institutional / quant fund / sell-side pilots can co-design with base fee + performance share, validated over 3-month evidence loops.

07 — 加入内测07 — Join the beta

100 个内测席位,
先到先得
100 beta seats.
First come, first served.

填写一分钟,先给你发送可落地的研究样本:一致性冲突评分、配对信号和可复盘字段示例。早期用户优先进入闭环反馈名单。 One minute to fill in. You’ll receive practical samples first: consistency/conflict scores, pair signals, and auditable workflow fields.

  • 01 优先拿到跨平台因子样本(含一致性、冲突标签) Priority access to cross-platform factor samples with consistency and conflict labels
  • 02 按你的研究场景回发 JSON schema 与回测接入示例 Receive JSON schema and backtest integration examples tailored to your use case
  • 03 对接 REST/MCP API 与执行系统,共同定义可复盘交付口径 Integrate with REST/MCP API and execution systems to define auditable handoff fields

支持中文 / English 留言。生产环境会先经过 Vercel 服务端写日志,再持久化保存。 Chinese or English is welcome. In production the form first goes through a Vercel server function for logging, then gets persisted.

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