Bitcoin ETF impact: how does a bot trade institutional in/outflows?

What are BTC ETF flows?

Spot Bitcoin ETFs (IBIT, FBTC, GBTC) buy or sell BTC daily for net institutional clients. These flows are published at 4 PM ET on Farside Investors.

Net inflow means: ETFs net bought BTC that day. Net outflow: net sold. Average daily flow is €100-500 million, on big days €1+ billion.

How the market reacts

Net inflow >€500M: BTC opens the Asian session 1-3% higher than US close. Predictable enough to trade.

Net outflow >€300M: BTC often opens lower. Especially when outflows come 3+ days in a row.

Indirect impact: XAUUSD often correlates negatively with BTC ETF flows. Big BTC inflows = risk-on = gold weaker. Bot can take both sides of the trade.

The setup for our bot

9:55 PM EU time: bot opens no new trades. All open trades to break-even SL.

10:00 PM EU time: ETF data publishes. Bot reads it via an API feed (Farside has an unofficial scrape, or paid alternatives).

10:05 PM EU time: if flow is >€300M net in one direction, place limit orders above/below spot price for Asian session open. SL based on ATR.

Results over 6 months

78 trade signals. 49 winners (63%). Average winner: +1.4R. Average loser: -1.0R. Net: +39R over 6 months.

Not our most profitable setup, but a reliable diversifier. Works on days when other setups are silent.

For those wanting to build it

You need: Farside Investors API access (or scrape), Python script that parses the data, and an MT5 connection via webhook or EA to place orders.

Plus: a broker that offers BTCUSD with reasonable spreads (Vantage, IC Markets). Not all MT5 brokers support this.