$NVIDIA(NVDA)$ Take a look at

$NVIDIA(NVDA)$ Take a look at the latest order I posted！@Trade Feed Decoder

NVDA

08-19 04:57

USNVIDIA

Side	Price \| Filled	Realized P&L
Buy Open	182.09 137	-- Closed

NVIDIA

Trade Feed: Who is your favorite trader?

Come to the Trade Feed Topic to find more trading opportunities! Also, please feel free to recommend and introduce fellow Tigers to the "hidden gem traders" that you've discovered!

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

Trade Feed Decoder
08-19
Trade Feed Decoder
This NVDA trade shows a minimal realized loss of -0.04%, suggesting either a highly disciplined exit strategy or sensitivity to minor price fluctuations. The near-breakeven outcome could indicate tight stop-loss execution or an attempt to scalp small movements in a volatile semiconductor stock. While the loss percentage is negligible, the trade raises questions about position sizing rationale given the narrow profit margin required to justify transaction costs. For a growth-oriented stock like NVIDIA, this micro-timing approach contrasts with typical long-term semiconductor investment strategies. The execution highlights the challenges of short-term trading in large-cap tech names where bid-ask spreads and volatility demand wider tolerance bands.
blinkix
08-19
blinkix
LOAD UP
Kashcash
08-19
Kashcash
👍

Leave a comment

106

{"i18n":{"language":"en_US"},"detailType":1,"isChannel":false,"data":{"magic":2,"id":469043385127200,"tweetId":"469043385127200","gmtCreate":1755550628019,"gmtModify":1755607952206,"author":{"id":3555116382988085,"idStr":"3555116382988085","authorId":3555116382988085,"authorIdStr":"3555116382988085","name":"Messiah Markets","avatar":"https://static.tigerbbs.com/3f5bfe1c76c413adcdb9c5b7375b4b16","vip":2,"userType":2,"introduction":"BSc. in Computer Science.","boolIsFan":false,"boolIsHead":false,"crmLevel":12,"crmLevelSwitch":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-4","templateUuid":"1026c425416b44e0aac28c11a0848493","name":"Tiger Star","description":"Join the tiger community for 2000 days","bigImgUrl":"https://static.tigerbbs.com/dddf24b906c7011de2617d4fb3f76987","smallImgUrl":"https://static.tigerbbs.com/53d58ad32c97254c6f74db8b97e6ec49","grayImgUrl":"https://static.tigerbbs.com/6304700d92ad91c7a33e2e92ec32ecc1","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2025.12.05","individualDisplayEnabled":0},"individualDisplayBadges":[],"fanSize":641,"starInvestorFlag":true,"fullDisclosureFlag":true,"starInvestorFollowerNum":192,"starInvestorOrderShareNum":581,"userFollowInvestorFlag":false,"orderNotificationFlag":false,"ror":132.19,"showRor":true,"investmentPhilosophy":"Patience, Discipline and Consistent are the keys","winRationPercentage":57.746479,"tradeVolumeEst":0},"themes":[{"themeId":"4e1ab37448a24dd39b7882426fc6fd27","categoryId":"ab3d937a5fd848c08008411a9be702b5","name":"Trade Feed: Who is your favorite trader?","type":0,"rnLink":"https://laohu8.com/RN?name=RNTheme&page=/theme/detail&rndata={\"themeId\":4e1ab37448a24dd39b7882426fc6fd27}&rnconfig={\"headerBarHidden\": true}","description":"Come to the Trade Feed Topic to find more trading opportunities! Also, please feel free to recommend and introduce fellow Tigers to the \"hidden gem traders\" that you've discovered!","image":"https://community-static.tradeup.com/news/e496e574dd744490c7b4f7959f83f5a4"}],"images":[],"coverImages":[],"html":"<html><head></head><body><a href=\"https://ttm.financial/S/NVDA\">$NVIDIA(NVDA)$&nbsp;</a>Take a look at the latest order I posted！<a href=\"https://ttm.financial/U/10000000000011061\">@Trade Feed Decoder</a></body></html>","htmlText":"<html><head></head><body><a href=\"https://ttm.financial/S/NVDA\">$NVIDIA(NVDA)$&nbsp;</a>Take a look at the latest order I posted！<a href=\"https://ttm.financial/U/10000000000011061\">@Trade Feed Decoder</a></body></html>","text":"$NVIDIA(NVDA)$ Take a look at the latest order I posted！@Trade Feed Decoder","highlighted":1,"essential":1,"paper":1,"likeSize":106,"commentSize":3,"repostSize":59,"favoriteSize":0,"link":"https://ttm.financial/post/469043385127200","repostId":0,"isVote":1,"tweetType":1,"viewCount":3593,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":["NVDA"],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":true,"orderData":{"uuid":"3555116382988085","orderId":"40193415154111488","kind":"TRADE","symbol":"NVDA","secType":"STK","symbolHtmlTag":"<a href=\"https://ttm.financial/S/NVDA\">$NVIDIA(NVDA)$&nbsp;</a>","symbolHtmlTagHref":"https://ttm.financial/S/NVDA","symbolName":"NVIDIA","market":"US","action":"BUY","currency":"USD","symbolLogo":"https://static.tigerbbs.com/d4cb2a6f3daa80a5964b47344ca72990","showFilledQuantity":true,"nameCN":"NVIDIA","orderType":"LMT","filledQuantityFinal":137,"avgFillPrice":182.09,"createTime":1755550622,"filledQuantity":"137","filledQuantityScale":"0","openFlag":true,"side":"DEBIT","contractMajorDescription":"NVIDIA","contractExtraDescription":"NVDA","legs":[],"completedFlag":true,"orderPnl":{"openRealizedPnlPercent":0.0004},"quickOrderFlag":false},"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":["订单分享帖"],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":50,"optionInvolvedFlag":false,"xxTargetLangEnum":"ORIG"},"commentList":[{"id":469069931765760,"commentId":"469069931765760","gmtCreate":1755557433023,"gmtModify":1755557437811,"authorId":10000000000011060,"author":{"id":10000000000011060,"idStr":"10000000000011061","authorId":10000000000011060,"name":"Trade Feed Decoder","avatar":"https://community-static.tradeup.com/news/4dc8fec78bad5acffbf563bdbc6bc8ed","vip":4,"crmLevel":1,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":469043385127200,"objectIdStr":"469043385127200","type":1,"supId":0,"supIdStr":"0","prevId":0,"prevIdStr":"0","content":"This NVDA trade shows a minimal realized loss of -0.04%, suggesting either a highly disciplined exit strategy or sensitivity to minor price fluctuations. The near-breakeven outcome could indicate tight stop-loss execution or an attempt to scalp small movements in a volatile semiconductor stock. While the loss percentage is negligible, the trade raises questions about position sizing rationale given the narrow profit margin required to justify transaction costs. For a growth-oriented stock like NVIDIA, this micro-timing approach contrasts with typical long-term semiconductor investment strategies. The execution highlights the challenges of short-term trading in large-cap tech names where bid-ask spreads and volatility demand wider tolerance bands.","text":"This NVDA trade shows a minimal realized loss of -0.04%, suggesting either a highly disciplined exit strategy or sensitivity to minor price fluctuations. The near-breakeven outcome could indicate tight stop-loss execution or an attempt to scalp small movements in a volatile semiconductor stock. While the loss percentage is negligible, the trade raises questions about position sizing rationale given the narrow profit margin required to justify transaction costs. For a growth-oriented stock like NVIDIA, this micro-timing approach contrasts with typical long-term semiconductor investment strategies. The execution highlights the challenges of short-term trading in large-cap tech names where bid-ask spreads and volatility demand wider tolerance bands.","html":"This NVDA trade shows a minimal realized loss of -0.04%, suggesting either a highly disciplined exit strategy or sensitivity to minor price fluctuations. The near-breakeven outcome could indicate tight stop-loss execution or an attempt to scalp small movements in a volatile semiconductor stock. While the loss percentage is negligible, the trade raises questions about position sizing rationale given the narrow profit margin required to justify transaction costs. For a growth-oriented stock like NVIDIA, this micro-timing approach contrasts with typical long-term semiconductor investment strategies. The execution highlights the challenges of short-term trading in large-cap tech names where bid-ask spreads and volatility demand wider tolerance bands.","likeSize":0,"commentSize":0,"subComments":[],"verified":10,"allocateAmount":0,"commentType":"valid","coins":0,"score":0,"disclaimerFlag":true,"disclaimerType":1,"specialCommentTag":"AI_ANALYSE"},{"id":469049972740152,"commentId":"469049972740152","gmtCreate":1755552561295,"gmtModify":1755592008375,"authorId":3479274804085724,"author":{"id":3479274804085724,"idStr":"3479274804085724","authorId":3479274804085724,"name":"blinkix","avatar":"https://static.tigerbbs.com/a70f12c6c7ca3e0f00f4b8fb561c5998","vip":8,"crmLevel":1,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":469043385127200,"objectIdStr":"469043385127200","type":1,"supId":0,"supIdStr":"0","prevId":0,"prevIdStr":"0","content":"LOAD UP","text":"LOAD UP","html":"LOAD UP","likeSize":0,"commentSize":0,"subComments":[],"verified":10,"allocateAmount":0,"commentType":"invalid","coins":0,"score":0,"disclaimerType":0},{"id":469116961079536,"commentId":"469116961079536","gmtCreate":1755568589996,"gmtModify":1755568593314,"authorId":4100751041151730,"author":{"id":4100751041151730,"idStr":"4100751041151730","authorId":4100751041151730,"name":"Kashcash","avatar":"https://static.tigerbbs.com/4d17f23ce73e57fb4a2b14f667700929","vip":1,"crmLevel":11,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":469043385127200,"objectIdStr":"469043385127200","type":1,"supId":0,"supIdStr":"0","prevId":0,"prevIdStr":"0","content":"👍","text":"👍","html":"👍","likeSize":0,"commentSize":0,"subComments":[],"verified":10,"allocateAmount":0,"commentType":"invalid","coins":0,"score":0,"disclaimerType":0}],"isCommentEnd":false,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/469043385127200"}