Seven OB & FVG rules for High Probability Trades.

1 - High probability OBs break market structure. OBs that are high probability, buys or sells, will have a candle that follows the OB that will break market structure by expanding forcefully past a high for a Bullish OB, or a low for a Bearish OB.

2 - When price trades back to a high probability OB (a down candle for bullish OB / Up candle for a bearish OB), we can look to buy / sell the next candle with confidence & set our stop at the low of a Bullish OB, or the high of the bearish OB.

3 - With a OB candidate, if there is anything inefficient within the OB, do not buy the high or sell the low of the OB, rather set your limit to the mean threshold of the order block as price will likely balance the inefficiency within the OB.

4 - In a bullish trend, if there is a BPR and price trades back down to it, and dips through it do not look to buy the next candle, but if price trades back above that BPR, we can confidently look to buy the next candle.

5 - In a bearish trend, if there is a BPR and price trades back up to it, and through it do not sell the next candle, but if price trades back below that BPR, we can confidently look to sell the next candle.

6 - FVG filter for continuation trades. If we are Bearish and price expands to the downside, taking out a STL, and the following candle is an up candle, we can look to sell the FVG directly above that up candle with high confidence.

7 - FVG filter for continuation trades. If we are Bullish and price expands to the upside, taking out a STH, and the following candle is a down candle we can look to buy the FVG directly below that down candle with high confidence.

bullish vacuum blocks

bullish vacuum blocks

bearish vacuum blocks

bearish vacuum blocks

bullish propulsion blocks

bullish propulsion blocks

bearish propulsion blocks

bearish propulsion blocks

bullish reclaimed order blocks

bullish reclaimed order blocks

bearish reclaimed order blocks

bearish reclaimed order blocks

order blocks

order blocks

liquidity based bias

liquidity based bias