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 - adj_close[-1] )> ([login to view URL](adj_close - 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
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.
9 freelanceria on tarjonnut keskimäärin $539 tähän työhön
"I read it" ======Java Expert ======= I have rich experience in Java on Eclipse/Netbeans/IntelliJ, Spark. I 'll make good result in time. Dear regards.
I read It. Hi. Hope your health and success. I think I can help you to make good result. I am very familiar Java and also have knowledge in stock and marketing. If you select me, I will do my best for you. Thank you.