hydra turtlesoup(@algo_trading_lit) (1)

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e anatomy of pd array *high frequency algorithm will take the measurement of a pd array into consideration and based on that it will deliver liquidity with precision. *if we take the measurement of a htf pd array & apply it to (te we will find preciously from where price will reject. high [1] this will give us our “turtle soup” entry on ltf. upper quadrant [0.75] “best rejection will happen from- g mid-way [0.5] bullish scenario : array «high -upper quadrant lower :mid-way quadrant[0.25] bearish scenario : .low low[0] -lower quadrant «mid-way *note: we are only measuring candles body . wiek§ do the damage & a part’of manipulation. liquidity is inside the body turtle soup + anatomy of pd array nte bearish ro array rules to follow : 1) identify htf pd array for potential rejection/ support 2)apply anatomy of pd array 3)drop down to ltf pd array 4) …
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ed) 2. we will wait for price to generate 2 long wicks which are | - relatively equal & when price comes back to the same ——__ level & rejects 3rd time that’s our “turtle soup” entry. stop hunt 2 3 3. when price does come back to the wicks for 3 time we wanna see price closing candles body below the 2% s 1 a candles wick turtle soup 4. look for smt with other co-relative pair. smt
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e anatomy of pd array *high frequency algorithm will take the measurement of a pd array into consideration and based on that it will deliver liquidity with precision. *if we take the measurement of a htf pd array & apply it to (te we will find preciously from where price will reject. high [1] this will give us our “turtle soup” entry on ltf. upper quadrant [0.75] “best rejection will happen from- g mid-way [0.5] bullish scenario : array «high -upper quadrant lower :mid-way quadrant[0.25] bearish scenario : .low low[0] -lower quadrant «mid-way *note: we are only measuring candles body . wiek§ do the damage & a part’of manipulation. liquidity is inside the body turtle soup + anatomy of pd …

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