When you or I press the โBUYโ button in any financial market, there will always be a willing โ SELLERโ to match our order. However, that is not the case for larger entities.
Huge players canโt just โBUYโ and โSELLโ as they need opposite orders on the other end to match their order.
That is why liquidity sweeps or turtle soups occur in the market.
Liquidity sweep happens when price trades above/below a swing high/low and aggressively displaces in the opposite direction.
In this example, we can see that the swing low was taken first. At this moment, trend trades tend to place sell orders with their stop loss near the recent swing high.
These stop-loss orders are โBUYโ orders to protect the short positions of trend traders.
An order flow liquidity sweep can be seen as a candle science liquidity sweep in the higher timeframe.
The Hourly sweep(order flow liquidity sweep) in this example can be seen as a previous candle sweep(candle science liquidity sweep) in the daily timeframe.
We have seen that there are FLOD (Fair Value Gap), OD (Fair Value Area), and LLOD (Swing High) in an order flow leg. The last line of defence (LLOD) is the swing high.
In this example, the first candle that comes inside the Daily FVG does not reject. The second candle sweeps the previous candle low to displace higher.
This happens so often. In the lower timeframe, we can see order flow legs going lower at first and then changing direction to displace higher
โข โข โข
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Price could retrace to any of the PD arrays in the order flow leg. ๐๐จ๐ฐ๐๐ฏ๐๐ซ, ๐ญ๐ก๐ ๐ฉ๐ซ๐จ๐๐๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐๐จ๐ซ ๐๐๐๐ก ๐๐ ๐๐ซ๐ซ๐๐ฒ ๐๐ข๐๐๐๐ซ๐ฌ
Our job is to find the PD array with a higher probability to trade from in the order flow leg so that the odds for profitability are in our favor
To find the highest probability narrative, let us discuss the three lines of defense๐ก๏ธ