(please read before bidding) I have some Java functions to be written using Ta4j and preferably using Apache spark

My expectation is that this turned in to a scan for stocks. The mastering the setup has 7 unique scans. The scans need to be written for the Amazon stock file provided. The task is to write the scans using the Ta4j framework and use the [login to view URL] as an input and output all the scan results. For further filtering have a boolean to enable or disable certain properties. example in pseudo-code for converting "coiled spring" scan shown below to java ((H - L) < (H1 - L1)) AND ((H - L) < (H2 - L2)) AND ((H - L) < (H3 - L3)) AND ((H - L) < (H4 - L4)) AND ((H - L) < (H5 - L5)) AND ((H - L) < (H6 - L6)) AND C > 7 AND AVGV50 > 1000 build a bar from the csv for highs lows, volume using the adj_high, adj_lows, adj_volume columns. Use "adj_*" columns ONLY for all inputs. Similar example as shown in [login to view URL]: [login to view URL]() Once the bar is built do the manipulation to out the scan like get previous day low L1, and the rest the scan using the below hint if(([login to view URL](adj_close[0] - adj_close[-1] )> ([login to view URL](adj_close[0] - adj_close[-1] &&...) or using spark sql as show below where ah is adjusted high and al is adjusted low. [login to view URL]("select Date,Adj_Close,aLeadC5,Diff from ar"+ " where ((adj_high-adj_low) < (ah1-aL1) and (ah1-AL1)< (ah2-aL2) and (ah2-AL2)< (ah3-aL3)"+ " and (ah3-AL3)< (ah4-aL4)) ").sort(desc("Date")) results will have be Date, Adjusted_close of the scanned results 2020-01-15 1862.02 2020-01-16 1877.94 2020-01-17 1864.72 2020-01-21 1892 2020-01-22 1887.46 2020-01-23 1884.58 2020-01-24 1861.64 2020-01-27 1828.34 2020-01-28 1853.25 2020-01-29 1858 2020-01-30 1870.68 2020-01-31 2008.72 2020-02-03 2004.2 2020-02-04 2049.67 2020-02-05 2039.87 The above output means the scan selected these days. Use this API [login to view URL] If you have read this far just type "I read it" in your proposal. This helps filter auto bidders. Thanks for reading.