/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 637 AND sg.groupid = 515852059875010308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '-914191193' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:03:51
Duration: 1s463ms
Database: acaweb_fx
User: postgres
Remote: 192.168.0.42
Application: PostgreSQL JDBC Driver

/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 621 AND sg.groupid = 515852059852088308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1074270447' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:20:10
Duration: 1s2ms
Database: acaweb_fx
User: postgres
Remote: 192.168.0.42
Application: PostgreSQL JDBC Driver

/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 479 AND sg.groupid = 515852059767350308 AND patternclassid = '1' AND patternlengthbars >= '20' AND a.PatternID & '39' > 0 AND dftt.dayofweek = '3' AND a.qtytp >= '0' AND a.resultuid > '1137802519' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:18:21
Duration: 866ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.23
Application: PostgreSQL JDBC Driver

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WITH rar_max as ( ;

Date: 2023-05-05 13:59:36
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.250
Application: PostgreSQL JDBC Driver

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with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;

Date: 2023-05-05 13:30:05
Duration: 2s712ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.25
Application: [unknown]

with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;

Date: 2023-05-05 13:20:05
Duration: 2s308ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.25
Application: [unknown]

with rankedmt4 as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors ), last_feed_entry as ( select * from rankedmt4 where r = 1 ), ok_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where status = 'OK' ), earliest_entry_after_ok as ( select m.datafeedname, min(m.eventtimestamp) as eventtimestamp from mt4datafeederrors m left outer join ( select datafeedname, eventtimestamp from ok_entries where r = 1) oo on m.datafeedname = oo.datafeedname where m.eventtimestamp > coalesce(oo.eventtimestamp, '1900-01-01'::timestamp without time zone) group by m.datafeedname ), notified_entries as ( select *, row_number() over (partition by datafeedname order by eventtimestamp desc) r from mt4datafeederrors where notified is not null and notified <> '' ), broker as ( select *, row_number() over (partition by feedname order by brokerid) r from ( select distinct b.brokerid, b.name as brokername, dss.classname as feedname from downloadersymbolsettings dss inner join brokersymbollist bsl on dss.symbolid = bsl.symbolid inner join broker b on bsl.brokerid = b.brokerid where dss.enabled = 1) a ) select last.id, last.datafeedname, last.eventtimestamp, last.status, last.errordescription, last.serveraddress, last.username, note.notified, note.eventtimestamp, broker.brokername from last_feed_entry last inner join earliest_entry_after_ok after_ok on last.datafeedname = after_ok.datafeedname inner join broker on last.datafeedname = broker.feedname left outer join ok_entries ok on ok.datafeedname = last.datafeedname left outer join notified_entries note on note.datafeedname = last.datafeedname and note.r = 1 where (ok.r is null or ok.r = 1) and last.datafeedname not in ( select distinct datafeedname from last_feed_entry where status = 'OK') and extract(epoch from (last.eventtimestamp - after_ok.eventtimestamp)) > 60 * 60 and last.eventtimestamp > current_timestamp - interval '1 day' and (note.eventtimestamp is null or note.eventtimestamp < current_timestamp - interval '10 hours') and last.eventtimestamp > current_timestamp - interval '1 hour' and broker.r = 1;

Date: 2023-05-05 13:10:05
Duration: 2s116ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.25
Application: [unknown]

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/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 692 AND sg.groupid = 515852059916698308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '-1243488137' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:51:04
Duration: 372ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.45
Application: PostgreSQL JDBC Driver

/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 692 AND sg.groupid = 515852059916698308 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '1247350151' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:31:02
Duration: 368ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.45
Application: PostgreSQL JDBC Driver

/*server.KeyLevelResultList*/ SELECT DISTINCT a.ResultUID AS ruid, c.symbolid AS sid, c.symbol AS sym, c.longname as longname, c.shortname, c.Exchange AS e, c.timegranularity AS tg, p.PatternID AS pid, a.direction AS d, cast(atbaridentified as timestamp) AS pet, cast(patternstarttime as timestamp) AS pst, PatternPrice AS patp, breakoutprice as pE, breakoutbars as bE, errorMargin as erm, PatternLengthBars AS l, Bandwidth AS bw, QtyTP AS qtp, p.patternname as patternname, cast(x0 as timestamp) AS x0, cast(x1 as timestamp) AS x1, cast(x2 as timestamp) AS x2, cast(( case when x3 = '' then '1900-01-01' else x3 end) as timestamp) AS x3, cast((case when x4 = '' then '1900-01-01' else x4 end) as timestamp) AS x4, cast(( case when x5 = '' then '1900-01-01' else x5 end) as timestamp) AS x5, cast((case when x6 = '' then '1900-01-01' else x6 end) as timestamp) AS x6, cast(( case when x7 = '' then '1900-01-01' else x7 end) as timestamp) AS x7, cast((case when x8 = '' then '1900-01-01' else x8 end) as timestamp) AS x8, cast(( case when x9 = '' then '1900-01-01' else x9 end) as timestamp) AS x9, cast(atbaridentified as timestamp) as PatternEndTime, cast(atbaridentified as timestamp) as atBar, cast((case when approachingtimestamp = '' then '1900-01-01' else approachingtimestamp end) as timestamp) as apr, dftt.timezone as tz, dftt.absolutetimezoneoffset as tzOs, predictionpricefrom as ppf, predictionpriceto as ppt, predictiontimefrom as ptf, predictiontimebars as ptb, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_keylevels_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant, cast(0.0 as double precision) as premium, cast(0 as bigint) as instrumentid, 0 as derivativeid, 0 as underlyingid, 0 as isunderlying FROM symbols c INNER JOIN brokersymbollist b ON c.symbolid = b.symbolid INNER JOIN symbolgroup sg ON c.symbolid = sg.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = c.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN keylevels_results a ON a.symbolid = c.symbolid INNER JOIN hrspatterns p ON a.patternid = p.patternid LEFT OUTER JOIN relevance_keylevels_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 667 AND sg.groupid = 500996399199151208 AND patternclassid = '2' AND patternlengthbars >= '20' AND a.PatternID & '3' > 0 AND dftt.dayofweek = '3' AND a.resultuid > '0' AND c.nonliquid = '0' AND c.deleted = 0 AND dss.enabled = 1 ORDER BY relevant DESC, age asc, PatternEndTime DESC, qtp DESC LIMIT 50;

Date: 2023-05-05 13:45:52
Duration: 331ms
Database: acaweb_fx
User: postgres
Remote: 192.168.0.239
Application: PostgreSQL JDBC Driver

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/*server.CPResultList*/ SELECT DISTINCT patternid, resy0, resy1, supporty0, supporty1, predictiontimeto, patternstarttime, s.symbolid, resx0, resx1, supportx0, supportx1, s.symbol, shortname, timegranularity, patternendtime, pattern, a.direction, trendchange, patternlengthbars, patternquality, a.resultuid as uid, breakout, initialtrend, volumeincrease, symmetry as uniformity, predictionpricefrom, predictionpriceto, noise, exchange, gmttimefound, dftt.absolutetimezoneoffset as tzOs, dftt.timezone as tz, longname, CASE WHEN rar.age IS NOT NULL THEN rar.age WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 11 ELSE 0 END as age, CASE WHEN rar.relevant IS NOT NULL THEN rar.relevant WHEN a.resultuid <= ( SELECT resultuid FROM relevance_autochartist_results ORDER BY resultuid DESC LIMIT 1) THEN 0 ELSE 1 END as relevant FROM symbols s INNER JOIN brokersymbollist b ON s.symbolid = b.symbolid INNER JOIN downloadersymbolsettings dss ON dss.symbolid = s.symbolid INNER JOIN datafeedstimetable dftt ON dftt.classname = dss.classname INNER JOIN autochartist_results a ON a.symbolid = s.symbolid INNER JOIN Patterns p ON a.pattern = p.patternname LEFT OUTER JOIN relevance_autochartist_results rar ON rar.resultuid = a.resultuid WHERE b.brokerid = 558 AND (((s.symbol ilike '%eurgbp%' AND timegranularity <= 1440);

Date: 2023-05-05 13:59:51
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.201
Application: PostgreSQL JDBC Driver

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select updateageforrelevantresults ();

Date: 2023-05-05 13:02:29
Duration: 27s29ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql

select updateageforrelevantresults ();

Date: 2023-05-05 13:32:21
Duration: 19s229ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql

select updateageforrelevantresults ();

Date: 2023-05-05 13:47:18
Duration: 15s728ms
Database: acaweb_fx
User: postgres
Remote: [local]
Application: psql

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SELECT resultuid FROM relevance_fibonacci_results ORDER BY resultuid DESC LIMIT 1), fr AS ( SELECT a.*, rr.age, rr.relevant from fibonacci_results a LEFT OUTER JOIN relevance_fibonacci_results rr on a.resultuid = rr.resultuid WHERE CASE WHEN FALSE = $1 THEN true ELSE a.resultuid > ( select min(resultuid) from relevance_fibonacci_results) END), all_results AS ( SELECT fr.resultuid AS resultuid, fr.direction AS direction, s.exchange AS exchange, s.symbolid AS symbolid, coalesce(bim.code, s.symbol) AS symbol_code, s.longname AS symbol_name, s.timegranularity AS interval, fr.pattern AS pattern_name, fr.timed AS timed, fr.patternendtime AS identified, dtt.timezone AS timezone, fr.patternlengthbars AS length, g.basegroupname, newLevels.filtered, CASE WHEN fr.age IS NOT NULL THEN fr.age WHEN fr.resultuid <= rm.resultuid THEN 11 ELSE 0 END as age, CASE WHEN fr.relevant IS NOT NULL THEN fr.relevant WHEN fr.resultuid <= rm.resultuid THEN 0 ELSE 1 END as relevant, cps.pip FROM fr INNER JOIN brokersymbollist bsl ON bsl.brokerid = $2 AND bsl.symbolid = fr.symbolid INNER JOIN symbols s ON fr.symbolid = s.symbolid AND s.nonliquid = 0 INNER JOIN symbolgroup sg on fr.symbolid = sg.symbolid INNER JOIN groups g ON sg.groupid = g.groupid INNER JOIN brokergroups bg on g.groupid = bg.groupid AND bsl.brokerid = bg.brokerid INNER JOIN downloadersymbolsettings dss ON fr.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname AND dtt.dayofweek = 3 INNER JOIN rar_max rm ON 1 = 1 LEFT JOIN LATERAL calc_fib_signal_filter (fr.resultuid) newLevels on true LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT OUTER JOIN brokerinstrumentmap bim ON dss.datafeedinstrumentid = bim.datafeedinstrumentid AND bim.brokerid = bsl.brokerid AND bim.TYPE = 'OUTBOUND' WHERE fr.gmttimefound > now() - INTERVAL '7 DAYS' AND dss.enabled = 1 AND s.deleted = 0 AND (fr.simulation = 0 OR fr.simulation IS NULL) AND ($3 = 0 OR s.timegranularity in ($4, $5, $6, $7, $8, $9, $10)) AND ($11 = 0 OR s.exchange in ($12)) AND ($13 = 0 OR coalesce(bim.code, s.symbol) in ($14, $15, $16, $17, $18, $19, $20, $21, $22, $23, $24, $25, $26, $27, $28, $29, $30, $31, $32, $33, $34, $35, $36, $37, $38, $39, $40, $41, $42, $43, $44, $45, $46, $47, $48, $49, $50, $51, $52, $53, $54, $55, $56, $57, $58, $59, $60, $61, $62, $63, $64, $65, $66, $67, $68, $69, $70, $71, $72, $73, $74, $75, $76, $77, $78, $79, $80, $81, $82, $83, $84, $85, $86, $87, $88, $89, $90, $91, $92, $93, $94, $95, $96, $97, $98, $99, $100, $101, $102, $103, $104, $105, $106, $107, $108, $109, $110, $111, $112, $113, $114, $115, $116, $117, $118, $119, $120, $121, $122, $123, $124, $125, $126, $127, $128, $129, $130, $131, $132, $133, $134, $135, $136, $137, $138, $139, $140, $141, $142, $143, $144, $145, $146, $147, $148, $149, $150, $151, $152, $153, $154, $155, $156, $157, $158, $159, $160, $161, $162, $163, $164, $165, $166, $167, $168, $169, $170, $171, $172, $173, $174, $175, $176, $177, $178, $179, $180, $181, $182, $183, $184, $185, $186, $187, $188, $189, $190, $191, $192, $193, $194, $195, $196, $197, $198, $199, $200, $201, $202, $203, $204, $205, $206, $207, $208, $209, $210, $211, $212, $213, $214, $215, $216, $217, $218, $219, $220, $221, $222, $223, $224, $225, $226, $227, $228, $229, $230, $231, $232, $233, $234, $235, $236, $237, $238, $239, $240, $241, $242, $243, $244)) AND ($245 = 0 OR fr.pattern in ($246)) AND ($247 = 0 OR fr.patternlengthbars <= $248) AND ($249 = 0 OR ($250 = 1 AND fr.timed > cast('1970-01-01' as timestamp)) OR ($251 = 2 AND fr.timed < cast('1970-01-01' as timestamp)))), results AS ( SELECT DISTINCT ON (symbolid) * FROM all_results WHERE (FALSE = $252 OR relevant = 1) AND ($253 = 0 OR age <= $254) ORDER BY symbolid, resultuid ) SELECT * from results ORDER BY identified DESC, length DESC;

Date: 2023-05-05 13:28:10
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.145
Application: PostgreSQL JDBC Driver

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select pricedatetime, open, high, low, close, timegranularity, symbol from t30 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 30 and pricedatetime >= current_timestamp - interval '40 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:05
Duration: 896ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t30 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 30 and pricedatetime >= current_timestamp - interval '40 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:54
Duration: 816ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t30 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 30 and pricedatetime >= current_timestamp - interval '40 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:05
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

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select pricedatetime, open, high, low, close, timegranularity, symbol from t240 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 240 and pricedatetime >= current_timestamp - interval '320 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:05
Duration: 1s185ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t240 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 240 and pricedatetime >= current_timestamp - interval '320 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:54
Duration: 715ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t240 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 240 and pricedatetime >= current_timestamp - interval '320 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:05
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

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select pricedatetime, open, high, low, close, timegranularity, symbol from t15 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 15 and pricedatetime >= current_timestamp - interval '20 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:54
Duration: 698ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t15 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 15 and pricedatetime >= current_timestamp - interval '20 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:04
Duration: 333ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t15 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 15 and pricedatetime >= current_timestamp - interval '20 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:04
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

x Hide

select pricedatetime, open, high, low, close, timegranularity, symbol from t60 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 60 and pricedatetime >= current_timestamp - interval '80 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:04
Duration: 749ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t60 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 60 and pricedatetime >= current_timestamp - interval '80 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:54
Duration: 655ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

select pricedatetime, open, high, low, close, timegranularity, symbol from t60 p inner join symbols s on p.symbolid = s.symbolid inner join brokersymbollist bsl on bsl.symbolid = s.symbolid where brokerid = 622 and symbol in ('EURAUD', 'USDCNH', 'EURCNH', 'NZDJPY', 'NZDCAD', 'AUDSGD', 'CHFJPY', 'EURSEK', 'JPN225', 'AUDHKD', 'AUDCHF', 'WTISPOT', 'EURTRY', 'BRENTSPOT', 'GBPUSD', 'GBPHKD', 'AUDJPY', 'GBPTRY', 'GBPNOK', 'XAGUSD', 'GBPCAD', 'GBPNZD', 'GBPAUD', 'AUDCAD', 'EURHKD', 'USDSGD', 'GBPJPY', 'USDRUB', 'USDTRY', 'GBPRUB', 'USDMXN', 'AUDNZD', 'USDPLN', 'USDCZK', 'USDCAD', 'GBPSEK', 'USDNOK', 'EURNOK', 'GBPMXN', 'EURMXN', 'GBPDKK', 'USDZAR', 'USDDKK', 'EURNZD', 'EURCAD', 'USDJPY', 'GBPCHF', 'USDSEK', 'CADJPY', 'GBPHUF', 'AUDUSD', 'USDHUF', 'EURJPY', 'HK-Shares', 'ESP35', 'LTCUSD', 'EURUSD', 'GBPCNH', 'NZDUSD', 'ETHUSD', 'EURHUF', 'EURZAR', 'EURRUB', 'GBPCZK', 'EURCHF', 'GBPEUR', 'GBPPLN', 'BTCUSD', 'GBPZAR', 'EURPLN', 'EURCZK', 'EURDKK', 'XAUUSD', 'CADCHF', 'NZDCHF', 'USDCHF', 'EURGBP', 'USDHKD') and timegranularity = 60 and pricedatetime >= current_timestamp - interval '80 days' order by pricedatetime asc;

Date: 2023-05-05 13:58:04
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.4.176
Application: [unknown]

x Hide

CASE WHEN a.old_resultuid = $1 THEN a.old_resultuid ELSE a.resultuid END as resultuid, s.symbol, pattern as patternname, timegranularity as interval, patternlengthbars AS length, patternendtime, direction, breakout, predictiontimeto, predictionpricefrom, predictionpriceto, patternStartPrice, resy1, supporty1, dtt.timezone, cps.pip, newLevels.profit FROM autochartist_results a INNER JOIN downloadersymbolsettings dss ON a.symbolid = dss.symbolid INNER JOIN datafeedstimetable dtt ON dss.classname = dtt.classname INNER JOIN symbols s ON a.symbolid = s.symbolid INNER JOIN patterns p ON p.patternname = a.pattern LEFT JOIN currencypips cps on cps.symbol = s.symbol LEFT JOIN LATERAL calc_cp_signal (a.resultuid) newLevels on true WHERE (a.old_resultuid = $2 OR a.resultuid = $3) AND dtt.dayofweek = 3;

Date: 2023-05-05 13:48:09
Duration: 0ms
Database: acaweb_fx
User: postgres
Remote: 192.168.1.250
Application: PostgreSQL JDBC Driver