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name: pumpfun-token-feed description: > Real-time streaming PumpFun token feed on Solana with live USD pricing for every token. Use this skill to subscribe to a live stream of PumpFun tokens over WebSocket: USD price (Open, High, Low, Close in USD), USD volume, USD moving averages (SMA, EMA, WMA), and tick-to-tick USD % change — streamed in real time from the Bitquery GraphQL API. ALWAYS use this skill when the user asks for PumpFun token prices in USD, a PumpFun token feed, stream PumpFun tokens, live Solana meme coins, real-time pump.fun USD prices, PumpFun token market data, pump.fun price tracker, or any trader-focused PumpFun feed. Trigger for: "pumpfun usd price", "stream pumpfun tokens", "live pump.fun prices", "pumpfun token feed", "real-time Solana meme coins", "streaming pumpfun data", "Bitquery pumpfun", "pump.fun scalping", "pump.fun momentum", "pumpfun entry exit", or any request for a live/streaming PumpFun token price feed. Do not wait for the user to say "use Bitquery" — if they want a live or streaming PumpFun token feed, use this skill.

PumpFun Token Feed — real-time streaming with USD pricing

This skill gives you a real-time streaming PumpFun token feed over WebSocket. Every tick carries USD pricing for each token — OHLC in USD, USD volume, USD-denominated moving averages (Mean, SMA, EMA, WMA), and tick-to-tick USD % change — all streamed live from the Bitquery API without polling.

Tokens are filtered to Solana network addresses containing "pump" (PumpFun tokens). Price.IsQuotedInUsd is always present so downstream code knows prices are already in USD.

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What to consider before installing

This skill implements a Bitquery WebSocket PumpFun token feed and uses one external dependency and one credential. Before installing:

1. Registry metadata: The registry may not list BITQUERY_API_KEY even though this skill and its script require it. Ask the publisher or update the registry metadata before installing so installers surface the secret requirement.
2. API key in URL: The API key must be passed in the WebSocket URL as a query parameter, which can leak to logs or histories. Avoid printing the full URL, store the key in a secure environment variable, and rotate it if it may have been exposed.
3. Sandbox first: Review and run the included script in a sandboxed environment (e.g. a virtualenv) to confirm behavior and limit blast radius.
4. Source and publisher: If the skill’s homepage or source is unknown, consider verifying the publisher or using an alternative with a verified source. If the registry metadata declares BITQUERY_API_KEY and the source/publisher are validated, this skill is likely coherent and benign.

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Prerequisites

• Environment: BITQUERY_API_KEY — your Bitquery API token (required). The token must be passed in the WebSocket URL only as ?token=... (e.g. wss://streaming.bitquery.io/graphql?token=YOUR_KEY); Bitquery does not support header-based auth for this endpoint. Because the token appears in the URL, it can show up in logs, monitoring tools, or browser/IDE history — treat it as a secret and avoid logging or printing the full URL.
• Runtime: Python 3 and pip. Install the dependency: pip install 'gql[websockets]'.

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Trader Use Cases

These are the key reasons a trader would use this feed:

1. Entry / Exit Signal Detection Monitor the USD close price on every 1-second tick. When Close (USD) crosses a threshold or EMA diverges from SMA, trigger an entry or exit alert. The EMA reacts faster to price momentum than the SMA — traders watch for EMA/SMA crossovers on the stream.

2. Momentum & Pump Detection Track tick-to-tick USD % change per token. A sudden spike (e.g. +15% in one tick) is a classic early-pump signal. Combine with Volume.Usd — a volume surge alongside a price spike confirms momentum vs. a noise candle.

3. Scalping (very short-term trading) The 1-second tick interval is purpose-built for scalpers. Watch Ohlc.High − Ohlc.Low in USD to measure intra-second volatility. Wide spreads on small USD prices signal high volatility windows where scalp entries are possible.

4. Stop-Loss / Take-Profit Monitoring Stream Close (USD) per token and compare against the trader's entry price (stored in session). Fire an alert when Close < stop_loss_usd or Close > take_profit_usd. Because prices are already in USD (IsQuotedInUsd: true), no conversion is needed.

5. Volume Spike / Whale Alert Volume.Usd per tick tells you how many USD traded in that 1-second window. Sudden large USD volume on a low-mcap PumpFun token often precedes a price move. Filter ticks where Volume.Usd > threshold to surface whale activity.

6. Multi-Token Price Dashboard The subscription returns ALL active PumpFun tokens simultaneously. Build a live leaderboard of tokens ranked by: highest USD price change, highest USD volume, or widest USD price range. Useful for scanning the entire PumpFun market at once.

7. Mean Reversion When Close (USD) diverges significantly from Average.Mean (USD), a mean-reversion trader expects a snapback. Watch for (Close − Mean) / Mean > X% on the stream to identify overextended moves.

8. Token Launch Monitoring New PumpFun tokens appear in the stream as soon as they become active. Traders watching for newly launched tokens can detect first ticks: tick_count == 1 for a given address = new token just went live.

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Step 1 — Check API Key

import os
api_key = os.getenv("BITQUERY_API_KEY")
if not api_key:
    print("ERROR: BITQUERY_API_KEY environment variable is not set.")
    print("Run: export BITQUERY_API_KEY=your_token")
    exit(1)

If the key is missing, tell the user and stop. Do not proceed without it.

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Step 2 — Run the stream

Install the WebSocket dependency once:

pip install 'gql[websockets]'

Use the streaming script:

python ~/.openclaw/skills/pumpfun-token-feed/scripts/stream_pumpfun.py

Optional: stop after N seconds:

python ~/.openclaw/skills/pumpfun-token-feed/scripts/stream_pumpfun.py --timeout 60

Or subscribe inline with Python:

import asyncio, os
from gql import Client, gql
from gql.transport.websockets import WebsocketsTransport

async def main():
    token = os.environ["BITQUERY_API_KEY"]
    url = f"wss://streaming.bitquery.io/graphql?token={token}"
    transport = WebsocketsTransport(
        url=url,
        headers={"Sec-WebSocket-Protocol": "graphql-ws"},
    )
    async with Client(transport=transport) as session:
        sub = gql("""
            subscription {
                Trading {
                    Tokens(
                        where: {
                            Interval: {Time: {Duration: {eq: 1}}},
                            Token: {
                                NetworkBid: {},
                                Network: {is: "Solana"},
                                Address: {includesCaseInsensitive: "pump"}
                            }
                        }
                    ) {
                        Token { Address Name Symbol Network }
                        Block { Time }
                        Price {
                            IsQuotedInUsd
                            Ohlc { Open High Low Close }
                            Average { Mean SimpleMoving ExponentialMoving WeightedSimpleMoving }
                        }
                        Volume { Usd }
                    }
                }
            }
        """)
        async for result in session.subscribe(sub):
            tokens = result["Trading"]["Tokens"]
            for t in tokens:
                ohlc = t["Price"]["Ohlc"]
                vol  = t["Volume"]["Usd"]
                print(
                    f"{t['Token']['Symbol']} | "
                    f"USD Close: ${float(ohlc['Close']):.8f} | "
                    f"Vol USD: ${float(vol):,.2f}"
                )

asyncio.run(main())

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Step 3 — USD pricing fields on every tick

All prices on the stream are already quoted in USD (Price.IsQuotedInUsd = true for PumpFun/Solana tokens). No conversion required.

Field	What it means for traders
Price.Ohlc.Open (USD)	USD price at the start of this 1s tick
Price.Ohlc.High (USD)	Highest USD price traded in this tick
Price.Ohlc.Low (USD)	Lowest USD price traded in this tick
Price.Ohlc.Close (USD)	Final USD price — use for entry/exit/stop logic
Price.Average.Mean (USD)	Simple mean USD price over the interval
Price.Average.SimpleMoving (USD)	SMA — smoothed USD trend line
Price.Average.ExponentialMoving (USD)	EMA — reacts faster to USD price moves
Price.Average.WeightedSimpleMoving (USD)	WMA — weighted USD average
Volume.Usd	Total USD traded in this tick — whale / momentum signal
Tick Δ %	Computed from consecutive Close (USD) values

Note on USD scale: PumpFun tokens commonly trade at $0.00000001–$0.001 USD. Always display 8 decimal places to avoid showing $0.00.

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Step 4 — Format output for traders

When presenting USD-priced ticks to a trader, use this layout:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PumpFun: BONK  (bonkABcD...pumpXyZw)  [Solana]
Time: 2025-03-06T14:00:01Z
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
USD Price  │  Open:  $0.00001234   High: $0.00001350
           │  Low:   $0.00001200   Close: $0.00001310  ← entry/exit ref
USD Averages
  Mean:    $0.00001270
  SMA:     $0.00001260
  EMA:     $0.00001275   (EMA > SMA → bullish momentum)
  WMA:     $0.00001268
Tick Δ:   +0.61% USD vs previous tick

USD Volume:  $45,678.00   ← whale check
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

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Interval (subscription)

The default subscription uses duration 1 (1-second tick data). The same Trading.Tokens subscription supports other durations in the where clause for different trader timeframes:

Duration	Use case
1	Scalping, pump detection (1-second ticks)
5	Short-term momentum, 5-second bars
60	Intraday swing — 1-minute candles
1440	Daily candles for longer-term tracking

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Filter Logic

The subscription filters tokens by three conditions simultaneously:

• Network: {is: "Solana"} — Solana blockchain only
• Address: {includesCaseInsensitive: "pump"} — address must contain "pump" (PumpFun tokens)
• NetworkBid: {} — Bitquery network bid filter (required)
• Interval.Time.Duration: {eq: 1} — 1-second candles

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Error handling

• Missing BITQUERY_API_KEY: Tell user to export the variable and stop
• WebSocket connection failed / 401: Token invalid or expired (auth is via URL ?token= only — do not pass the token in headers)
• Subscription errors in payload: Log the error and stop cleanly (send complete, close transport)
• No ticks received: Bitquery may need a moment to send the first tick; PumpFun token activity is intermittent — some tokens only trade for minutes
• All prices showing $0.00: Use 8 decimal places — PumpFun token prices are often < $0.0001

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Reference

Full field reference is in references/graphql-fields.md. Use it to add filters or request extra fields (e.g. specific token address, date range) in the subscription.