Myfxbook Community Outlook / Retail Sentiment Scraper

Extract live retail forex sentiment from Myfxbook's Community Outlook — the short vs long positioning of thousands of real traders across 70+ currency pairs, metals, and crosses — as clean, structured JSON.

Retail positioning is widely used as a contrarian signal: when the crowd is heavily long, price often hunts the liquidity sitting under their average entry. This actor turns that crowd data into a feed you can plug straight into a strategy, dashboard, or database.

Why use this actor

• No account, no login, no API key required — it reads the public Community Outlook.
• Complete sentiment per symbol — short %, long %, average short/long entry prices, trapped volume (lots), and open-position counts.
• All symbols in one run — 70+ pairs/metals fetched together, typically in a single fast request.
• Stable JSON output — ready for pipelines, databases, spreadsheets, or backtests (download as JSON, CSV, or Excel).
• Automatic retries — transient hiccups are retried for you; no scrapers or browsers to manage.
• Optional symbol filter — pull just the pairs you trade (e.g. EURUSD, XAUUSD).

How it works

1. (Optional) You list the symbols you care about — or leave it empty to get every symbol.
2. The actor fetches the current Community Outlook and reads each symbol's crowd positioning: how many traders are short vs long, the volume behind each side, and their average entry prices.
3. Each symbol becomes one record and streams into your dataset, ready to download or feed into your tools.

You don't manage browsers, sessions, or retries — just run it (on demand or on a schedule) and read the results.

Use Cases

Contrarian / Smart Money trading signal Build an automated feed that alerts when retail is >70% long on a pair — a classic liquidity-hunt setup. Pull the data every 15 minutes, compare it against your price-action model, and trigger entry signals where the crowd's average entry sits above current price (short-trap zones).

Algorithmic strategy backtesting Schedule the actor hourly and store every run in a time-series database. Reconstruct how retail positioning evolved before and after major moves on EURUSD, XAUUSD, or any other pair — and validate whether high-lopsidedness reliably preceded reversals.

Real-time trading dashboard Wire the actor into a Grafana or Retool dashboard that shows the short/long split, trapped-lot volumes, and distance-from-price for every symbol at a glance — a live "liquidity map" your desk can read in seconds.

Risk management & position sizing Before entering a trade, check whether retail is crowded in the same direction. If tradersTradingPercentage is high and the crowd is aligned with your thesis, scale down — you may be on the same side as the stop-hunt target.

Academic / quant research Compile months of daily snapshots to study the predictive power of retail sentiment across different market regimes, asset classes (forex vs. gold vs. crypto-adjacent pairs), and volatility environments.

Input

{
  "symbols": ["EURUSD", "XAUUSD"],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Field	Type	Description
symbols	array	Optional whitelist of symbols (case-insensitive), e.g. ["EURUSD","XAUUSD"]. Leave empty to scrape all symbols.
proxyConfiguration	object	Proxy settings. Residential is recommended for reliable, geo-stable results.

Tip: leave symbols empty and run on a schedule (Myfxbook refreshes roughly every ~15 minutes) to keep a rolling sentiment history.

Output

Each symbol produces one record. Real sample output:

{
  "_input": "https://www.myfxbook.com/community/outlook",
  "_source": "S1-html",
  "_scrapedAt": "2026-05-29T06:28:42Z",
  "symbol": "EURUSD",
  "symbolId": 1,
  "decimals": 5,
  "shortPercentage": 41.0,
  "longPercentage": 59.0,
  "shortVolumeLots": 7765.33,
  "longVolumeLots": 11365.74,
  "shortPositions": 28378,
  "longPositions": 32410,
  "totalPositions": 60788,
  "totalVolumeLots": 19131.07,
  "avgShortPrice": 1.1406,
  "avgLongPrice": 1.1682,
  "shortDistancePips": -241,
  "longDistancePips": -35,
  "currentPrice": 1.1647,
  "popularityPercentage": 50.0,
  "tradersTradingPercentage": 33.0,
  "trendShortPercentage": 41.0,
  "trendLongPercentage": 59.0
}

A metals example (XAUUSD):

{
  "symbol": "XAUUSD",
  "shortPercentage": 48.0,
  "longPercentage": 52.0,
  "shortVolumeLots": 1245.28,
  "longVolumeLots": 1352.66,
  "shortPositions": 7749,
  "longPositions": 10617,
  "totalPositions": 18366,
  "avgShortPrice": 4292.4978,
  "avgLongPrice": 4604.0433,
  "currentPrice": 4520.23,
  "shortDistancePips": -22773,
  "longDistancePips": -8381
}

Field	Type	Description
symbol	string	Trading symbol (e.g. EURUSD, XAUUSD).
shortPercentage	number	Percentage of volume positioned short.
longPercentage	number	Percentage of volume positioned long.
avgShortPrice	number	Average entry price of short positions.
avgLongPrice	number	Average entry price of long positions.
shortPositions	integer	Number of open short positions.
longPositions	integer	Number of open long positions.
totalPositions	integer	Total open positions (short + long).
shortVolumeLots	number	Volume held short, in lots.
longVolumeLots	number	Volume held long, in lots.
totalVolumeLots	number	Total volume, in lots (short + long).
shortDistancePips	integer	Distance of the average short entry from the current price, in pips.
longDistancePips	integer	Distance of the average long entry from the current price, in pips.
currentPrice	number	Current market price.
popularityPercentage	number	How popular the symbol is among the community.
tradersTradingPercentage	number	Share of traders currently trading this symbol.
trendShortPercentage / trendLongPercentage	number	Short/long split shown on the trend bar (mirrors shortPercentage / longPercentage).
symbolId	integer	Myfxbook's internal symbol id.
decimals	integer	Price decimal places for the symbol.
_input	string	The source the record came from.
_source	string	Extraction strategy tag.
_scrapedAt	string	UTC timestamp (ISO 8601) when the record was captured.

If a run cannot retrieve data, a single record with an _error field is written instead (so failures are never silent).

Notes & limits

• The Community Outlook reflects Myfxbook's connected community and updates roughly every ~15 minutes — schedule the actor accordingly.
• Percentages are rounded by the source, so short + long may occasionally total 99–101%.
• This actor reads only the public outlook (no account-only data).