fx-forecast-analysis

fx-forecast-analysis is a skill for Claude Code from vivy-yi/finance-skills. It costs 96 tokens per session (1,944 once invoked), scanned A, original, MIT.

A foreign-exchange forecasting workflow that estimates how currency rates may move using economic conditions, interest-rate differences, trade data, technical signals, and scenarios.

In plain words
What is it for?
It is for forecasting a currency pair, setting exchange-rate assumptions for budgets or investments, and estimating how currency movements may affect revenue.
Why use it?
It helps turn several currency influences into a documented forecast and shows how reliable past forecasts have been. This supports decisions where exchange-rate changes could affect money received or paid.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit It is for forecasting a currency pair, setting exchange-rate assumptions for budgets or investments, and estimating how currency movements may affect revenue.

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Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/fx-forecast-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vivy-yi/finance-skills --skill fx-forecast-analysis
Clone the repo
git clone --depth 1 https://github.com/vivy-yi/finance-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fx-forecast-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fx-forecast-analysis/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/fx-forecast-analysis)
Your own site
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/fx-forecast-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fx-forecast-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fx-forecast-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/fx-forecast-analysis"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/fx-forecast-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,944 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.01944
Opus 5 $0.00048 $0.00972
Sonnet 5 $0.00019 $0.00389
Haiku 4.5 $0.00010 $0.00194

Measured 9d ago against content hash f5eed010946e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fx-forecast-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

finance-skills/skills/fx-risk/skills/fx-forecast-analysis/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

加载上下文

首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(宏观因子权重/历史预测准确率/情景定义)。


/fx-forecast-analysis — 外汇预测分析

Examples

→ 示例:用户说"帮我们预测一下未来 3 个月的人民币走势,主要参考哪些因素",系统应调用本技能,执行人民币汇率预测分析。

→ 示例:用户说"汇率波动对我们的出口收入影响有多大,帮我做个敏感性分析",系统应调用本技能,分析汇率对收入的敏感性。

→ 示例:用户说"欧洲市场的收入预测需要转换成美元,帮我评估一下汇率假设",系统应调用本技能,制定汇率预测假设并评估影响。

第一步:当前汇率与历史分析

当前汇率状态:

□ 即期汇率:[USD/CNY = X.XXXX]
□ 隐含收益率(Carry):[X]%(利差收益/损失)

□ 近期走势(过去 [X] 个月):
  → 最高:[X.XXXX]
  → 最低:[X.XXXX]
  → 波动幅度:[X]%(高低点差异%)
  → 当前处于:[区间位置,高/中/低]

历史预测准确率:

□ 过去 [X] 次预测表现:
  → 预测方向正确率:[X]%
  → 平均误差:[X]%(预测 vs 实际)
  → 最大误差:[X]%
□ 预测可靠性评估:[高/中/低]

第二步:宏观因子分析

利差因素:

□ 中美利差:
  → 中国 10 年国债收益率:[X]%
  → 美国 10 年国债收益率:[X]%
  → 利差:[X]%([中国-美国])
  → 趋势:[收窄/扩大]

□ 利差对汇率影响:
  → 利差收窄 → [USD/CNY 下行/上行]
  → 历史相关性:[X]%(利差解释力)
  → 当前利差信号:[看多/看空] USD

经济基本面:

□ 中国经济:
  → GDP 增速:[X]%
  → 出口增速:[X]% — 对 USD 收入影响 [X]%
  → 贸易顺差:[X] 亿美元

□ 美国经济:
  → GDP 增速:[X]%
  → 核心 PCE:[X]%
  → 劳动力市场:[紧张/稳健/疲软]

□ 基本面评估:[中国相对走强/走弱/持平]

政策与地缘因素:

□ 货币政策:
  → 中国央行立场:[宽松/中性/紧缩]
  → 美联储立场:[宽松/中性/紧缩]

□ 政策信号评估:
  → [描述当前主要政策驱动]

□ 地缘风险:[高/中/低] — 影响 [描述]

第三步:技术面分析

技术指标:

□ 移动平均线:
  → 50 日均线:[X.XXXX] — 当前 [高于/低于]
  → 200 日均线:[X.XXXX] — 当前 [高于/低于]
  → 趋势信号:[看多/看空/中性]

□ 相对强弱指数(RSI):
  → 当前 RSI:[X]([超买/超卖/中性])

□ 布林带:
  → 当前价格:[突破上轨/在中轨附近/突破下轨]

□ 技术面综合信号:[看多/看空/中性]

第四步:情景预测

情景设计与概率:

□ 情景 1:基准情景(概率 [X]%)
  → 假设:中、美经济平稳,利差稳定
  → 3 个月目标:[X.XXXX]([+/-X]%)
  → 12 个月目标:[X.XXXX]([+/-X]%)

□ 情景 2:美元走强(概率 [X]%)
  → 假设:美联储鹰派,GDP 超预期
  → 3 个月目标:[X.XXXX]
  → 12 个月目标:[X.XXXX]

□ 情景 3:美元走弱(概率 [X]%)
  → 假设:中国经济复苏,贸易改善
  → 3 个月目标:[X.XXXX]
  → 12 个月目标:[X.XXXX]

综合预测:

□ 最可能情景:情景 [X]
□ 3 个月预测区间:[X.XXXX] - [X.XXXX]([X]% 置信区间)
□ 12 个月预测区间:[X.XXXX] - [X.XXXX]

第五步:风险管理建议

基于预测的风险敞口建议:

□ 当前敞口方向:[多头 USD/空头 USD/中性]
□ 预测建议:[加仓/减仓/维持]
□ 调整比例:[X]%

□ 止损/止盈设置:
  → 止损位:[X.XXXX](如 USD 跌破)
  → 止盈位:[X.XXXX](如 USD 触及)

第六步:生成预测报告

═══════════════════════════════════════
外汇预测分析报告
币种对:[USD/CNY]
预测日期:[YYYY-MM-DD]
预测周期:[3 个月/12 个月]
═══════════════════════════════════════

【当前汇率】
□ 即期:[X.XXXX]
□ 近期波动:[X]%([高/中/低])

【核心驱动因素】
□ 利差因素:[看多/看空] USD — 当前利差 [X]%
□ 基本面:[中国走强/走弱/持平]
□ 政策:[主要驱动描述]
□ 技术面:[看多/看空/中性]

【情景预测】
□ 情景 1(基准,[X]%):3M [X.XXXX],12M [X.XXXX]
□ 情景 2(美元走强,[X]%):3M [X.XXXX],12M [X.XXXX]
□ 情景 3(美元走弱,[X]%):3M [X.XXXX],12M [X.XXXX]

【综合预测】
□ 最可能:情景 [X]
□ 3 个月区间:[X.XXXX] - [X.XXXX]
□ 12 个月区间:[X.XXXX] - [X.XXXX]

【历史预测准确率】
□ 方向正确率:[X]% | 平均误差:[X]%

【风险管理建议】
□ 敞口建议:[调整建议]
□ 止损位:[X.XXXX] | 止盈位:[X.XXXX]

═══════════════════════════════════════
置信度:[✅ 高 / ⚠️ 中 / 🔴 低]
注:汇率预测存在不确定性,决策应结合风险承受能力
═══════════════════════════════════════

Read the full file on GitHub · 221 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 221 lines · 96 tokens per session scan A f5eed010946e

Subscribe to this mod's changes

fx-forecast-analysis is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 96 tokens to every session and 1,944 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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