Agent skill

Traderspy Trading Signals

by sickn33 in sickn33/agentic-awesome-skills

Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.

MITAuto-check passedBusiness, Finance & HR

Install Traderspy Trading Signals

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/traderspy-trading-signals .claude/skills/traderspy-trading-signals && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
traderspy-trading-signals
GitHub stars
47k
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
1,201 words
Files
2 (incl. references)
Skills in repo
1,497
Repo updated
First seen
Licence
MIT

At a glance

Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.

  • Tasks that involve Trading and backtesting
  • SKILL.md covers When to Use, Tools, What a signal row contains and Workflows, plus 5 more sections
  • Reaches mcp.traderspy.app

What it does

Traderspy Trading Signals is an agent skill from sickn33/agentic-awesome-skills. Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for "latest signals".

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/signal-fields.md`).

It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Trading and backtesting

Example prompts

  • “latest signals”
  • “/traderspy-trading-signals”

What it can do on your machine

Read from SKILL.md and the folder at commit 1c7bdea. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.traderspy.app

    Also links to:

    • traderspy.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Traderspy Trading Signals loads about 2.2k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1c7bdea, republished under its MIT licence (© sickn33). 1,201 words, ~2,206 tokens.

Download SKILL.mdSave it as .claude/skills/traderspy-trading-signals/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
traderspy-trading-signals
description
Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for "latest signals".
category
finance
risk
safe
source
https://github.com/target1m/traderspy-mcp/tree/069aae5a84640d671f92705a2e3bc0b62efca1e0/skills/trading-signals
source_repo
target1m/traderspy-mcp
source_type
official
date_added
2026-09-25
author
target1m
tags
traderspy, crypto, trading-signals, futures, mcp
tools
claude, cursor, gemini
license
MIT

TraderSpy Trading Signals

TraderSpy's AI signals are automated reads of the market: a named preset fires when several technical conditions line up on one crypto futures pair, a validator scores the alignment, and the published signal carries an entry, a take-profit ladder, a stop and — later — what actually happened. The signals feed at https://traderspy.app/signals publishes every one with its resolved outcome. Your job is to fetch, translate and contextualise them; the decision stays with the user.

When to Use

  • Use when the user mentions crypto signals, AI alerts, "any setups", "what is the AI seeing", long or short ideas, or TraderSpy alerts, even without the word "signal".
  • Use to explain one signal's entry, take-profit and stop levels and the conditions that triggered it, or whether it still stands at the current price.
  • Use when the user asks how signals have resolved (hits vs stops) over the last 4h to 7d.
  • Not for placing trades (no tool can), not for top-trader positioning (@traderspy-smart-money), not for indicator reads on a coin (@traderspy-technical-analysis).

Tools

ToolUse it forKey arguments
get_signalsThe list: newest firstlimit 1–50 (default 20), skip, importance high / medium / low / all, coin
get_signal_detailsOne signal in full, plus the live pricesignalId (the id from the list)
get_signal_statsAggregate hit rate over a windowperiod 4h / 8h / 24h / 7d

Three argument behaviours that are easy to get wrong:

  • importance is inclusive downward. high returns high only, medium returns high AND medium, low returns everything. To show "medium and above" pass medium, not low.
  • coin is a prefix match on the pair name. BTC matches BTCUSDT and also BTCDOMUSDT; check the coin field of each row before presenting "BTC signals".
  • limit is what gets rendered. In hosts that draw signal cards, every fetched row becomes a card. If the user asks for "the last 5", pass limit: 5 — do not fetch 20 and show 5.

What a signal row contains

strategyName (the preset, e.g. "OBV Divergence Buy (4H)") · action buy / sell · timeframe 1h / 4h / 1d · price at trigger · targets[] as {label, type, pct} where pct is measured from price · triggeredConditions[] in plain language · importance · signalStrength weak / moderate / strong / very_strong · resolutionStatus · createdAt.

Convert target percentages to prices before showing them — users think in prices:

  • buy: TP = price × (1 + pct/100), SL = price × (1 − pct/100)
  • sell: TP = price × (1 − pct/100), SL = price × (1 + pct/100)
  • reward-to-risk at TP1 = TP1 pct ÷ SL pct (a 0.7 R:R is normal for this system, whose first target sits close to entry; read it together with the hit rate from get_signal_stats, and do not call a sub-1 R:R "bad" on its own).

resolutionStatus is the outcome so far:

StatusMeaning
pendingStill inside its tracking window, nothing hit yet
tp1_hit / tp2_hit / tp3_hitHighest take-profit reached (a later stop touch does not downgrade it)
profit_lockedTrend exhaustion detected before TP1; a partial gain was locked
stopStop level touched before any take-profit
expiredWindow ended with neither side touched

Outcomes are judged on 1-minute wicks, so "TP1 hit" means price actually traded there. The tracking window is 24 × the signal timeframe (24h for a 1h signal, 4 days for a 4h signal); a 1h signal that is still pending two days later is stale rather than alive.

Workflows

"Latest signals" / "any setups?" → get_signals with the limit the user implies (default 10 if they gave no number). Lead with the newest, group by side if several, and make the resolved ones visible — a list that mixes three winners, two stops and five pending rows should say so.

"Signals for SOL" → get_signals with coin. If the result is empty, say there is no recent signal on that pair rather than offering a different pair as if it were the same thing.

"Is this signal still valid?" / "Should I still care about it?" → get_signal_details, then compare livePrice with the entry, TP1 and SL in the same units:

  • distance from entry in % (signed the way the trade wants it: for a buy, positive = in profit)
  • whether a level has already been crossed (a pending buy with livePrice below the SL price is finished in everything but paperwork — say so)
  • history.highestPrice / lowestPrice show the best and worst it has seen since entry
  • indicatorValues are the readings at trigger time, not now; if the user wants the current picture, hand off to technical-analysis rather than re-reading stale values as if they were live

"How are the signals doing?" → get_signal_stats. Explain the number honestly: winRate is hits ÷ (hits + stops) over signals CREATED in the window, so it ignores pending rows, and a 4h window is a handful of signals. Prefer 7d for a track-record question and say how many signals it rests on (total, pending).

Show full SKILL.md (423 more words)Show less

Presenting

For a list, ALWAYS use a compact table and keep one signal per row:

| Coin | Side | TF | Entry | TP1 | SL | Preset | Status | Age |

For one signal, use this order: headline (coin, side, timeframe, preset, importance) → the levels as prices with the % in brackets → what triggered it (the triggeredConditions, lightly rephrased) → where price is now versus entry / TP1 / SL → the outcome so far → the one-line risk note. Quote livePrice with its timestamp when the answer depends on it.

Do not invent an "AI review" if aiReview is null — most signals do not carry one. When it exists, report score and decision as the reviewer's opinion, not as a verdict.

Conduct

  • These are indicator alignments with published outcomes, not instructions. Report what the signal says, what has happened to it and what has happened to signals like it; if the user asks whether to take it, lay out what supports and what undercuts it and hand the decision back. Never tell the user to buy, sell, size or leverage.
  • Historical hit rates describe the sample they were computed on. Never present a win rate as a forecast or imply any outcome is assured.
  • Nothing in this connector trades. There is no order, close, transfer or withdrawal tool, by design. If asked to execute, say so plainly; the decision and the trade stay with the user.
  • Every number comes from a tool result; if a field is null, say it is unavailable rather than estimating it.
  • When the answer is about a specific trade idea, end with one plain sentence that crypto derivatives are high-risk and this is market information, not financial advice. Once per answer is enough.

For the full field glossary, including the indicatorValues keys, read references/signal-fields.md.

Examples

text
Show me the latest AI signals.
Any signals on SOL right now?
Is the latest BTC signal still valid? Show me where price is against its entry, targets and stop.
How have the signals resolved over the last 7 days?

Limitations

  • Needs the hosted TraderSpy MCP server connected in the client (https://mcp.traderspy.app/mcp, Streamable HTTP), authorized with OAuth or a personal key from https://traderspy.app/mcp. A free TraderSpy account is enough. Without the server the skill has no data to work from.
  • Tool calls are metered per day: 300 on the free tier, 5,000 on premium.
  • Every tool is read-only. Nothing here places, closes or modifies an order, and there is no withdrawal or transfer tool.
  • The output is market data and analysis for the user's own research, not investment advice.
  • Covers TraderSpy's own AI signals only. Signal statistics describe signals that already resolved; they are not a forecast.
  • @traderspy-technical-analysis (called technical-analysis in the text above, its upstream ID) - the current chart read on the signal's coin
  • @traderspy-market-briefing - the freshest signals inside a market overview

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/traderspy-trading-signals of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/signal-fields.md

Open the folder on GitHubat commit 1c7bdea

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Traderspy Trading Signals next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Traderspy Trading Signals compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
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Polyclawchainstacklabs/polyclaw3591 repos~2kAutomated safety check: PassApache-2.0
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Questions about Traderspy Trading Signals

What does Traderspy Trading Signals do?

Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Traderspy Trading Signals is an agent skill from sickn33/agentic-awesome-skills. Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.

When should I use Traderspy Trading Signals?

Traderspy Trading Signals fits situations like: tasks that involve Trading and backtesting.

How do I install Traderspy Trading Signals in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a claude-code`. Or copy the skill folder (skills/traderspy-trading-signals in sickn33/agentic-awesome-skills) into .claude/skills/traderspy-trading-signals in your project. Claude Code loads it when a task matches its description.

How do I install Traderspy Trading Signals in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a codex`. Or copy the skill folder (skills/traderspy-trading-signals in sickn33/agentic-awesome-skills) into .agents/skills/traderspy-trading-signals in your project. Codex loads it when a task matches its description.

Can I use Traderspy Trading Signals in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/traderspy-trading-signals, .gemini/skills/traderspy-trading-signals, .github/skills/traderspy-trading-signals and .opencode/skills/traderspy-trading-signals in your project.

What does Traderspy Trading Signals need to run?

SKILL.md names no scripts, command-line tools or credentials: Traderspy Trading Signals is instructions for the agent only.

Does Traderspy Trading Signals access the network?

SKILL.md names 2 domains. In commands or code: mcp.traderspy.app; the agent is likely to contact it when it follows the instructions. As links in the text: traderspy.app. This is read from the text; nothing was executed.

Is Traderspy Trading Signals safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Traderspy Trading Signals use?

Traderspy Trading Signals is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Traderspy Trading Signals use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.

What are the alternatives to Traderspy Trading Signals?

Skills that share tags, products or a category with Traderspy Trading Signals: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Traderspy Trading Signals?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.