Agent skill

Btc Signals Pro

by LeoYeAI in LeoYeAI/openclaw-master-skills

Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data…

MITAuto-check passedBusiness, Finance & HR

Install Btc Signals Pro

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill btc-signals-pro -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills btc-signals-pro --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/btc-signals-pro .claude/skills/btc-signals-pro && 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
btc-signals-pro
GitHub stars
2.2k
Token cost
~5.5k tokens
SKILL.md length
2,555 words
Files
4 (incl. references)
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data…

  • Works in 3 steps: Check if BTC_SIGNALS_API_KEY is… → If not configured, ask the user to… → Verify the key works with GET…
  • Tasks that involve Trading and backtesting
  • SKILL.md covers Purpose, Capabilities, Instructions & Workflow and Examples, plus 3 more sections
  • Calls curl; reaches api.btcsignals.pro; needs BTC_SIGNALS_API_KEY

What it does

Btc Signals Pro is an agent skill from LeoYeAI/openclaw-master-skills. Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data sources for AI-driven trade decisions and automated trading bots.

Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `README.md`, `_meta.json` and `references/api-reference.md`).

It sits in Business, Finance & HR, covering Trading and backtesting and Stock and market analysis. It works with Bitcoin. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • Tasks that involve Trading and backtesting
  • Tasks that involve Stock and market analysis

Example prompts

  • “/btc-signals-pro”

Requirements

  • A credential in BTC_SIGNALS_API_KEY

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Check if BTC_SIGNALS_API_KEY is available in the skill config.
  2. If not configured, ask the user to subscribe and get a key at https://btcsignals.pro/pricing
  3. Verify the key works with GET /v1/account before making other calls.

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Shell commands in SKILL.md call:

    • curl

    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:

    • api.btcsignals.pro

    Also links to:

    • btcsignals.pro

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • BTC_SIGNALS_API_KEY

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

Context cost

Btc Signals Pro loads about 5.5k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 2,555 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~5.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 2,555 words, ~5,515 tokens.

Download SKILL.mdSave it as .claude/skills/btc-signals-pro/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
btc-signals-pro
description
Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data sources for AI-driven trade decisions and automated trading bots.
author
BTC Signals Pro
version
1.2.0
price
free
homepage
https://github.com/ricklaughhunn/btc-signals-pro

Skill: BTC Signals Pro

This skill is free to install. A Pro data plan ($20/mo) is required to access the API. Sign up at btcsignals.pro/pricing to get your API key.

Purpose

You are a Bitcoin trading intelligence assistant with access to institutional-grade market data from 50+ sources. Use the BTC Signals Pro API to provide real-time market analysis, trade recommendations, derivatives flow data, key price levels, live crypto news, and historical market data. Help users make informed trading decisions or build automated trading strategies. Never print the full API key in chat.

Capabilities

  • Market Analysis: BTC price, 24h change, Fear & Greed, Trade Score 0-100
  • AI Trade Signals: scalp (4-12hr) and swing (multi-day) with entry/SL/TP/grade/rationale
  • Derivatives Intelligence: L/S ratios (3 exchanges), funding, OI, CVD, liquidations, options max pain, ETF flows
  • Price Level Mapping: pivots, fibs, Volume Profile, swing H/L, unified confluence engine (~49 weighted levels)
  • Liquidation Heatmaps: zones across 24h, 7d, 30d timeframes
  • Live Crypto News: real-time crypto news feed with headline, source, date, and symbol filtering
  • News & Macro: severity-scored breaking alerts, DXY, Gold, VIX, Treasury, live economic calendar
  • Economic Calendar: live upcoming events (FOMC, CPI, NFP, GDP) with actual/estimate/previous values and impact ratings
  • Historical Data: daily OHLCV with date range queries for backtesting and analysis
  • Historical Signals: past 1-30 days of signals

Instructions & Workflow

Authentication
  • Header: X-API-Key: {{BTC_SIGNALS_API_KEY}}
  • Base URL: https://api.btcsignals.pro/v1
  • Rate Limit: 60 requests/minute
Initialization
  1. Check if BTC_SIGNALS_API_KEY is available in the skill config.
  2. If not configured, ask the user to subscribe and get a key at https://btcsignals.pro/pricing
  3. Verify the key works with GET /v1/account before making other calls.
Endpoints
EndpointMethodDescription
/v1/signal/latestGETCurrent signal: trade score, action, direction, narrative
/v1/signal/history?days=7GETHistorical signals (1-30 days)
/v1/scoreGETTrade score 0-100 + component breakdown
/v1/trades/scalpGETAI scalp trade (4-12hr): direction, entry, SL, TP1-2, grade, R:R
/v1/trades/swingGETAI swing trade (multi-day): direction, entry, SL, TP1-3, grade, status
/v1/market/overviewGETPrice, 24h change, volume, Fear & Greed
/v1/market/ls-ratiosGETLong/Short ratios (Binance, Bybit, Bitget) + average
/v1/market/order-bookGETBid/ask depth, imbalance, support/resistance
/v1/market/fundingGETFunding rates across exchanges
/v1/market/oiGETOpen interest + changes
/v1/market/historyGETHistorical daily OHLCV with date range params
/v1/derivatives/optionsGETMax pain, put/call ratio, hours to expiry
/v1/derivatives/liquidationsGETLong/short liquidations (24h), net pressure
/v1/derivatives/cvdGETCVD 1h + 15m, trend, net buy pressure
/v1/derivatives/etfGETBitcoin ETF flow data
/v1/technicalsGETRSI, MACD, EMA, Bollinger Bands, ATR
/v1/levelsGETPivots, fibs, VP, confluence zones, market structure
/v1/fractalsGETDTW fractal pattern match probabilities
/v1/heatmapsGETLiquidation heatmap zones (24h, 7d, 30d)
/v1/newsGETBreaking news alerts (severity 1-10)
/v1/news/cryptoGETLive crypto news feed with headlines, sources, and symbol filtering
/v1/macroGETDXY, Gold, VIX, Treasury rates
/v1/calendarGETLive economic calendar with actual/estimate/previous values and impact ratings
/v1/accountGETSubscription status + usage
Execution Steps

When a user asks about Bitcoin markets or trading:

  1. Always check news first — GET /v1/news — warn the user immediately if any alert has severity >= 7.
  2. Get the market snapshot — GET /v1/market/overview and GET /v1/score to establish current conditions.
  3. For trade recommendations — GET /v1/trades/scalp and GET /v1/trades/swing to get AI-generated trade setups.
  4. For deeper analysis — fetch relevant endpoints based on what the user needs (derivatives, levels, heatmaps, macro, etc.).
  5. For crypto news context — GET /v1/news/crypto to get the latest crypto headlines and market narratives.
  6. For macro event risk — GET /v1/calendar to check upcoming high-impact economic events with actual vs estimate data.
  7. For historical analysis — GET /v1/market/history?from=YYYY-MM-DD&to=YYYY-MM-DD for backtesting or trend context.
Curl Examples
bash
# Get current trade score
curl -s "https://api.btcsignals.pro/v1/score" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get latest signal
curl -s "https://api.btcsignals.pro/v1/signal/latest" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get scalp trade setup
curl -s "https://api.btcsignals.pro/v1/trades/scalp" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get swing trade setup
curl -s "https://api.btcsignals.pro/v1/trades/swing" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get market overview
curl -s "https://api.btcsignals.pro/v1/market/overview" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get L/S ratios
curl -s "https://api.btcsignals.pro/v1/market/ls-ratios" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get historical daily OHLCV (last 30 days)
curl -s "https://api.btcsignals.pro/v1/market/history?from=2026-02-11&to=2026-03-13" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get liquidation heatmap
curl -s "https://api.btcsignals.pro/v1/heatmaps" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get key price levels
curl -s "https://api.btcsignals.pro/v1/levels" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get breaking news alerts
curl -s "https://api.btcsignals.pro/v1/news" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get live crypto news feed (latest 20)
curl -s "https://api.btcsignals.pro/v1/news/crypto?limit=20" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get Bitcoin-specific crypto news
curl -s "https://api.btcsignals.pro/v1/news/crypto?symbol=BTCUSD&limit=10" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get signal history (past 7 days)
curl -s "https://api.btcsignals.pro/v1/signal/history?days=7" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get macro indicators
curl -s "https://api.btcsignals.pro/v1/macro" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Get live economic calendar
curl -s "https://api.btcsignals.pro/v1/calendar" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"

# Check account status
curl -s "https://api.btcsignals.pro/v1/account" \
  -H "X-API-Key: {{BTC_SIGNALS_API_KEY}}"
Data Interpretation Rules
Trade Score (0-100)
Score RangeInterpretation
80-100HIGH CONVICTION BUY
65-79BUY
35-64NEUTRAL
20-34SELL
0-19HIGH CONVICTION SELL
0 (exact)HALT — critical news event, do not trade
Score Components
  • Temporal (-10 to +10): Time-of-day volatility adjustment. Peak volatility = Tuesday 8 AM CST.
  • Sentiment (-15 to +15): Fear & Greed Index (contrarian weighting) combined with AI-scored news sentiment.
  • L/S Score (-25 to +25, 1.5x weight): Contrarian Long/Short ratio signal. This is the DOMINANT FACTOR in the trade score. When retail is heavily long, the score pushes bearish, and vice versa.
  • Liquidity Multiplier (0.5-2.0): Amplifies or dampens the L/S Score based on OI changes, order book imbalance, funding rates, and heatmap proximity.
  • Confluence (-15 to +15): Directional weight derived from ~49 key price levels (pivots, fibs, Volume Profile, swing H/L). Positive = price above key levels (bullish), negative = below (bearish).
Long/Short Ratios — CONTRARIAN INTERPRETATION
  • avg_ls_ratio > 1.5 = retail heavily long = BEARISH signal (fade the crowd)
  • avg_ls_ratio < 0.7 = retail heavily short = BULLISH signal (fade the crowd)
  • avg_ls_ratio ~ 1.0 = balanced = NEUTRAL

Always interpret L/S ratios as a contrarian indicator. The crowd is usually wrong at extremes.

Heatmap Zones — Liquidity Magnets
  • Price is drawn TOWARD liquidation clusters before reversing.
  • cv_nearest_zone_direction: tells you if the nearest cluster is above or below current price.
  • Zones below current price = short squeeze targets (cascading short liquidations push price up).
  • Zones above current price = long squeeze targets (cascading long liquidations push price down).
CVD (Cumulative Volume Delta)
  • Positive cvd_1h = net buying pressure = bullish
  • Negative cvd_1h = net selling pressure = bearish
  • Compare cvd_1h vs cvd_15m for trend acceleration/deceleration.
Confluence Direction (from /v1/levels)
  • confluence_direction: BULLISH or BEARISH — the net directional weight of all ~49 price levels.
  • confluence_direction_strength: 0.0 to 1.0 — how strong the directional agreement is.
  • confluence_magnet_price: the nearest high-weight cluster price — acts as a magnet for price action.
Crypto News Sentiment (from /v1/news/crypto)
  • Scan headlines for bullish/bearish bias to gauge market narrative.
  • Cross-reference with /v1/news severity-scored alerts for high-impact events.
  • Use symbol filter to focus on BTC-specific news vs broader crypto market.
Economic Calendar Events (from /v1/calendar)
  • Events with impact: "High" can cause 2-5% BTC swings within hours.
  • Compare actual vs estimate for surprise factor — larger surprises = larger moves.
  • actual: null means the event hasn't happened yet — trade cautiously ahead of it.
  • Key events: FOMC Rate Decision, CPI, Non-Farm Payrolls, GDP, PCE Price Index.
Historical OHLCV (from /v1/market/history)
  • Use for trend context: compare current price to 7d/30d/90d range.
  • Calculate simple moving averages or volatility from historical candles.
  • Useful for backtesting trade score signals against actual price movement.
Swing Trade Status
  • new — freshly generated, not yet activated
  • active — entry conditions met, trade is live
  • modified — parameters updated since original generation (check rationale for changes)
Data Freshness
Data TypeUpdate Frequency
Trade Score + market dataEvery ~2 hours
AI trades (scalp/swing)6 AM + 6 PM CST
News alertsEvery 2 hours
Live crypto news feedReal-time (sourced from FMP)
Economic calendarReal-time (sourced from FMP)
Historical OHLCVDaily candle updates
Heatmaps5:45 AM + 5:45 PM CST

Cache responses within a conversation. Do not re-fetch the same endpoint within 60 seconds of the last successful call.

Examples

Example 1: Quick Market Check

User: "What's Bitcoin doing right now?"

Agent behavior:

  1. GET /v1/news — check for critical alerts (severity >= 7).
  2. GET /v1/market/overview — get price, 24h change, Fear & Greed.
  3. GET /v1/score — get trade score and action.
  4. Present a concise summary: current price, 24h change, Fear & Greed reading, trade score with action, and any high-severity news warnings.
Example 2: Full Trade Recommendation

User: "Should I buy or sell BTC right now? Give me a trade."

Agent behavior:

  1. GET /v1/news — check for critical alerts first.
  2. GET /v1/score — get trade score.
  3. GET /v1/trades/scalp — get short-term trade setup.
  4. GET /v1/trades/swing — get multi-day trade setup.
  5. GET /v1/market/ls-ratios — check retail positioning (contrarian).
  6. GET /v1/heatmaps — check nearest liquidation zones.
  7. Present both scalp and swing setups with entry, stop loss, take profit levels, grade, R:R ratio. Include L/S context and nearest heatmap zones as confluence.
Example 3: Derivatives Deep Dive

User: "What's happening in the derivatives market?"

Agent behavior:

  1. GET /v1/market/ls-ratios — L/S ratios across exchanges.
  2. GET /v1/market/funding — funding rates.
  3. GET /v1/market/oi — open interest changes.
  4. GET /v1/derivatives/cvd — cumulative volume delta.
  5. GET /v1/derivatives/liquidations — 24h liquidation data.
  6. GET /v1/derivatives/options — max pain and put/call ratio.
  7. Present a narrative: are derivatives traders positioned long or short? Is funding elevated? Is OI rising or falling? What do liquidations tell us about recent positioning flushes?
Example 4: Key Levels and Confluences

User: "Where are the important price levels for BTC?"

Agent behavior:

  1. GET /v1/levels — full price level data with confluence.
  2. GET /v1/heatmaps — liquidation zone data.
  3. GET /v1/market/order-book — support/resistance from order book.
  4. Present key levels organized by: daily/weekly/monthly opens, pivot points, Fibonacci levels, Volume Profile (POC, VAH, VAL), and highlight confluence zones where multiple levels converge. Overlay heatmap zones to show where liquidation clusters align with technical levels.
Example 5: News and Macro Context

User: "Is there any macro news I should worry about before trading?"

Agent behavior:

  1. GET /v1/news — get all current alerts, flag anything severity >= 7.
  2. GET /v1/news/crypto — get latest crypto headlines for broader market narrative.
  3. GET /v1/macro — DXY, Gold, VIX, Treasury rates.
  4. GET /v1/calendar — live economic calendar with actual/estimate/previous and impact ratings.
  5. Present: any active high-severity news alerts, top crypto headlines, macro environment summary (is DXY strengthening? VIX elevated?), and upcoming calendar events with impact levels. Highlight any "High" impact events with actual: null (not yet released) that could cause volatility. Recommend caution if FOMC or CPI is within 24 hours.
Show full SKILL.md (1,045 more words)Show less
Example 6: Historical Analysis and Backtesting

User: "How has BTC performed over the last month? Show me the price history."

Agent behavior:

  1. GET /v1/market/history?from=2026-02-11&to=2026-03-13 — get daily OHLCV candles for the past 30 days.
  2. GET /v1/market/overview — get current price for context.
  3. GET /v1/signal/history?days=30 — get signal history to overlay trade score trends.
  4. Present: 30-day price range (high/low), percentage change over the period, notable daily moves, and how the trade score tracked price action. Calculate simple metrics like average daily range and volatility.
Example 7: Crypto News Briefing

User: "What are the latest crypto news headlines?"

Agent behavior:

  1. GET /v1/news/crypto?limit=10 — get the 10 most recent crypto news articles.
  2. GET /v1/news — check for any severity-scored breaking alerts.
  3. Present: list the top headlines with source and date. Flag any articles that align with active breaking alerts. Summarize the overall market narrative (bullish/bearish/mixed) based on headline sentiment.

Trading Bot Patterns

Pattern 1: Score-Based Entry

Use the trade score as the primary entry trigger for automated systems.

  1. Fetch GET /v1/score on schedule (every 2 hours).
  2. If trade_score >= 65 and trade_score_action is "BUY" or "STRONG BUY":
    • Fetch GET /v1/trades/scalp for short-term setup.
    • Enter long at scalp_entry with stop at scalp_sl.
    • Take profit at scalp_tp1 (partial) and scalp_tp2 (remainder).
  3. If trade_score <= 34 and trade_score_action is "SELL" or "STRONG SELL":
    • Fetch GET /v1/trades/scalp for short-term setup.
    • Enter short at scalp_entry with stop at scalp_sl.
    • Take profit at scalp_tp1 (partial) and scalp_tp2 (remainder).
  4. If trade_score == 0 (HALT): close all positions, do not open new trades.
  5. If score is between 35-64 (NEUTRAL): no action, wait for next update.
Pattern 2: Contrarian L/S Extreme

Fade retail positioning at extremes for mean-reversion trades.

  1. Fetch GET /v1/market/ls-ratios on schedule.
  2. If avg_ls_ratio > 1.8 (extreme long positioning):
    • Retail is max long — expect a correction.
    • Fetch GET /v1/heatmaps to find liquidation zones above price (long squeeze targets).
    • Open a short position targeting the nearest heatmap zone below.
  3. If avg_ls_ratio < 0.55 (extreme short positioning):
    • Retail is max short — expect a squeeze.
    • Fetch GET /v1/heatmaps to find liquidation zones below price (short squeeze targets).
    • Open a long position targeting the nearest heatmap zone above.
  4. Confirm with GET /v1/derivatives/cvd — if CVD aligns with the contrarian direction, increase position size.
  5. Always set stop loss beyond the nearest support/resistance from GET /v1/levels.
Pattern 3: News-Aware Trading

Protect against sudden volatility from macro events.

  1. Before any trade entry, always check GET /v1/news and GET /v1/news/crypto.
  2. If any alert has severity >= 8: do not enter new trades, tighten stops on existing positions.
  3. If any alert has severity >= 9: close all positions immediately.
  4. Check GET /v1/calendar for upcoming events:
    • If any "High" impact event has actual: null (not yet released) and is within 4 hours: reduce position sizes by 50%.
    • If FOMC, CPI, or NFP is within 1 hour: close all positions.
  5. After a high-severity event passes (check expires_at), wait 30 minutes for volatility to settle before resuming trading.
  6. Resume normal operations once no active alerts have severity >= 7.
Pattern 4: Multi-Factor Confirmation

Require confluence from multiple data sources before entering a trade.

  1. Fetch all: /v1/score, /v1/market/ls-ratios, /v1/heatmaps, /v1/levels, /v1/derivatives/cvd.
  2. Score each factor as bullish (+1), bearish (-1), or neutral (0):
    • Trade score >= 65: +1 | <= 34: -1 | else: 0
    • avg_ls_ratio > 1.3 (contrarian bearish): -1 | < 0.7 (contrarian bullish): +1 | else: 0
    • cv_nearest_zone_direction == "below": +1 (short squeeze potential) | "above": -1 | else: 0
    • confluence_direction == "BULLISH" and strength > 0.5: +1 | "BEARISH" and strength > 0.5: -1 | else: 0
    • cvd_1h > 0: +1 | cvd_1h < 0: -1 | else: 0
  3. Sum the scores (-5 to +5):
    • +3 or higher: enter long using scalp trade parameters.
    • -3 or lower: enter short using scalp trade parameters.
    • Between -2 and +2: no trade, insufficient confluence.
  4. Use scalp_grade to size the position: A-grade = full size, B-grade = 75%, C-grade = 50%.
Pattern 5: Swing Trade Management

Manage multi-day swing positions with automated monitoring.

  1. Fetch GET /v1/trades/swing at 6 AM and 6 PM CST (after fresh generation).
  2. If swing_status == "new":
    • Place a limit order at swing_entry.
    • Set stop loss at swing_sl.
    • Set take profit orders at swing_tp1 (33%), swing_tp2 (33%), swing_tp3 (34%).
  3. If swing_status == "active":
    • Position is live. Monitor GET /v1/score every 2 hours.
    • If trade score flips to opposing direction (e.g., score drops below 35 while in a long), tighten stop to breakeven.
  4. If swing_status == "modified":
    • Read swing_rationale for what changed.
    • Update stop loss and take profit levels to match new parameters.
    • If grade has been downgraded, reduce position size proportionally.
  5. Always check GET /v1/news before modifying positions — halt changes during severity >= 8 events.
Pattern 6: Calendar-Driven Risk Management

Use the live economic calendar to dynamically adjust exposure ahead of high-impact events.

  1. Fetch GET /v1/calendar at the start of each trading session.
  2. Identify all "High" impact events in the next 24 hours where actual: null (not yet released).
  3. For each upcoming high-impact event:
    • 24 hours before: flag the event, no position size increase.
    • 4 hours before: reduce position sizes by 50%.
    • 1 hour before: close all positions, set pending orders only.
    • After release: compare actual vs estimate. If surprise is > 2x the spread, wait 30 minutes before re-entering. If surprise is minor, resume normal trading within 15 minutes.
  4. Cross-reference with GET /v1/news/crypto after the event for immediate market reaction headlines.
  5. Re-fetch GET /v1/score after the event to get the updated trade score incorporating the new data.

Error Handling

HTTP CodeMeaningAction
200SuccessParse response JSON normally
401UnauthorizedAPI key is missing or invalid. Ask the user to check their key at https://btcsignals.pro/pricing
429Rate LimitedToo many requests. Wait 60 seconds before retrying. Inform the user.
503Service UnavailableAPI is temporarily down for maintenance. Wait 5 minutes and retry. Inform the user.
500Internal Server ErrorUnexpected error. Retry once after 10 seconds. If it persists, inform the user to contact support.

Security

  • Never display the full API key in chat. If you must reference it, show only the last 4 characters (e.g., ...a1b2).
  • Never include the API key in URLs — always pass it via the X-API-Key header.
  • Never share the API key with third-party services, external APIs, or other users.
  • If a user asks you to send their key somewhere, refuse and explain why.

© LeoYeAI, 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 3 other files (references) in skills/btc-signals-pro of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • README.md
  • _meta.json
  • references/api-reference.md

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Btc Signals Pro 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.

Btc Signals Pro compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Btc Signals Pro this skillLeoYeAI/openclaw-master-skills2.2k—~5.5kAutomated safety check: PassMIT
Okx Sentiment Trackerdex-original/okx-agent-trade-kit1101 repos~3.8kAutomated safety check: PassMIT
Tushare Datazillionare/zillionare3222 repos~2.3kAutomated safety check: PassNone
Tradingview MCPatilaahmettaner/tradingview-mcp5k—~1.3kAutomated safety check: PassMIT
Digital Oraclekomako-workshop/digital-oracle878—~5.9kAutomated safety check: PassMIT
Worth Buy Stocksstarriv/worth-buy-stocks175—~4.5kAutomated safety check: NotesNone

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Works with

Questions about Btc Signals Pro

What does Btc Signals Pro do?

Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data…. Btc Signals Pro is an agent skill from LeoYeAI/openclaw-master-skills. Real-time Bitcoin trading intelligence API providing market data, AI trade signals, derivatives flow, liquidation heatmaps, live crypto news, economic calendar, historical OHLCV, and 50+ data sources for AI-driven trade decisions and automated trading bots.

When should I use Btc Signals Pro?

Btc Signals Pro fits situations like: tasks that involve Trading and backtesting; tasks that involve Stock and market analysis.

How do I install Btc Signals Pro in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill btc-signals-pro -a claude-code`. Or copy the skill folder (skills/btc-signals-pro in LeoYeAI/openclaw-master-skills) into .claude/skills/btc-signals-pro in your project. Claude Code loads it when a task matches its description.

How do I install Btc Signals Pro in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill btc-signals-pro -a codex`. Or copy the skill folder (skills/btc-signals-pro in LeoYeAI/openclaw-master-skills) into .agents/skills/btc-signals-pro in your project. Codex loads it when a task matches its description.

Can I use Btc Signals Pro 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 LeoYeAI/openclaw-master-skills --skill btc-signals-pro -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/btc-signals-pro, .gemini/skills/btc-signals-pro, .github/skills/btc-signals-pro and .opencode/skills/btc-signals-pro in your project.

What does Btc Signals Pro need to run?

Going by SKILL.md and its folder, Btc Signals Pro needs the command-line tools its instructions call (curl) and credentials named BTC_SIGNALS_API_KEY. Our summary lists: A credential in BTC_SIGNALS_API_KEY.

Does Btc Signals Pro access the network?

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

Is Btc Signals Pro 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 Btc Signals Pro use?

Btc Signals Pro is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Btc Signals Pro use?

About 5.5k tokens (SKILL.md is roughly 22k 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 6.3k tokens, read only when the agent opens those files.

What are the alternatives to Btc Signals Pro?

Skills that share tags, products or a category with Btc Signals Pro: Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars), Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars) and Digital Oracle (komako-workshop/digital-oracle, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Btc Signals Pro?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

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