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TV Object Tree 🧩 Today I wanted to share my process for structuring the data within my trading view charts, keeping them clean and organised. Specifically, this relates to the 'object tree', which houses all the drawings within a chart. For many people, the object tree could be likened to a 'black hole', never looked within, the contents of which is unknown and unstructured. You can find the object tree to the right of TV, below the alerts icon. Within the object tree, you can create folders of drawings, which can be renamed, locked, hidden, or moved up and down - affecting the visibility hierarchy of drawings. This can also be done for individual drawings. An easy way to clear up some mental real estate is to make it a habit to organise drawings based on time frames, whilst simultaneously creating a new folder for each trade you have taken. Below is an overview of how I organise my object tree, which is the same for each chart/asset. For the best results, I recommend keeping the hierarchy the same. Below is a detailed explanation for what each folder consists of: Text ➡️ all text (no 'levels') Plans ➡️ long/short position & trend line for stop loss LTF ➡️ sub 2H TFs (can create separate MICRO TF) MTF ➡️ 2H up to 11H HTF ➡️ 12H up to 23H HTF+ ➡️ 1D+ Levels ➡️ timeframe labels used for liquidity blocks🔒 The benefits of structuring data this way allows you to toggle the visibility of certain groups: 🟢 Getting caught up in LTFs and forgetting to see the bigger picture? Turn off LTFs and MTFs to only see your HTF reversal levels. 🟢Getting distracted by all the text and levels labels on your charts? Turn off text and levels to see clean levels only. 🟢Want to store your trading plan and SL on the chart, but your charts are getting too cluttered to work? Keep plans turned off while you chart, then turn them back on after. Logging Trades What makes this system great is the trade logging folders. After a trade has been entered, all drawings related to the trade are moved into a new folder which has a specific labelling system. ⚠️ To avoid wasting time moving drawings into folders, use this tip.* The suffix is 'L' or 'S' (long or short), followed by the 'trade ID'**. For backtesting trades, I use 'BT' and for missed trades I use 'MT'. Once a trade is finished, I 🔒 the folder to prevent drawings from being moved, which could cause reviewing issues in the future. *Firstly open the object tree. Then hold command (MAC) and drag the mouse over the area of drawings for a specific trade, and click on the 'create a group of drawings' button within the object tree (folder icon with a '+' symbol). This allows you to quickly group drawings, without having to sift through each timeframe folder to extract each drawing, which is painfully inefficient. When dealing with a group of overlapping drawings that contain some objects not related to my trade, I instead hold command (MAC) and selectively click on drawings, after which I create the folder. Because I value speed, I'll create a temporary folder this way even if its just one drawing, and then add it to its trade folder; ive found this is quicker then sifting through a whole folder for the drawing. 🎯 Dont forget, if you fat fingered and moved/deleted folders or drawings incorrectly, just press command + Z (Mac) to undo this. **Each trade I take across all assets has a unique number. Importantly, the numbering is not related to just one chart only. For example, if you took 100 trades, and only trades 23, 45 and 89 were for LINK, your LINK chart would only have three trade folders labelled like this: S-89 L-45 L-23 You can also add more info if you desire, like win/loss, or TF. I personally like to keep it simple on trading view as this data is already within my obsidian trade journal. Conclusion If you can take away anything from this post, it would be to start storing your old trades on trading view right now. 🔑 Remember, you only start winning when you learn from losing. How often do you study your losers? By systematically storing your old trades within trading view, backtesting new insights on old trades becomes easy and efficient.

As a trader whos navigated both traditional markets and the wild world of crypto Ive been watching projects like TCOM Global closely Its a fresh entrant in the Web3 space blending AI blockchain and intellectual property management with a focus on community driven decisions The slogan Stake TCOM Shape the Future captures how staking their token empowers users to influence the projects direction through governance Lets break it down what it means how it works and why it could be a game changer or a risk for investors TCOM Global is building a decentralized protocol for IP governance revolutionizing content creation by letting creators and fans co own and manage intellectual properties using AI and Web3 tech Theyre licensed by Tezuka Productions famous for Astro Boy which adds legitimacy to their hybrid IP plus blockchain model Unlike typical meme coins or NFTs TCOM aims to give real utility through transparent community led decisions replacing old school closed door deals with on chain voting and revenue sharing At the heart is staking TCOM tokens Users lock up their holdings in the IPFi Staking protocol to earn rewards and participate in governance This isnt just passive income its active involvement Stakers get a say in key proposals like how revenues from licensed IPs are distributed which new content to prioritize or even protocol upgrades For instance fans can stake to share in earnings from classic IPs creating a co creation model where community input shapes future developments Projects like this often boost staking with high APYs analytics tools and mobile optimization to make it easy for anyone to join Some even allow stakers to vote on ecosystem management tying rewards to long term holding and network security From a governance angle its all about decentralization Token holders propose and vote on changes using on chain mechanisms This empowers the community to steer the project toward sustainability like integrating AI for better content tools or expanding partnerships Recent launches show TCOM emphasizing verifiable processes and incentives to keep engagement high They debuted on Binance Alpha just days ago on August 15 sparking buzz with airdrops and potential spot listings which could drive liquidity and adoption Community voting replaces traditional hierarchies making it more inclusive but also reliant on active participation to avoid low turnout or whale dominance Trading wise this setup could fuel growth Staking locks supply reducing sell pressure while governance draws in committed holders eyeing long term upside With the token fresh on exchanges like Gate and MEXC early volatility is expected but the IP focus sets it apart from pure speculation Revenue sharing from staking could provide steady yields especially if they land more licenses or AI integrations Broader trends in Web3 chat governance and RWA tokens show similar models succeeding by tying utility to real world assets here IPs The August airdrop sharing 10000 TCOM tokens hints at strong marketing to build the user base fast That said risks are real Staking in new projects carries smart contract vulnerabilities or rug pull fears though their BNB Chain ties and Tezuka backing mitigate some Regulatory scrutiny on decentralized governance could hit especially with AI involved Market dumps from unlocked stakes or failed proposals might tank the price too And if community decisions go south like poor IP choices it could erode trust hurting adoption As with any crypto governance heavy play whale influence might overshadow small stakers despite democratic ideals Overall staking TCOM to shape its future via community governance feels like a bold step toward fan owned content worlds As a trader Id view it as a speculative buy for those bullish on Web3 IP plays with solid rewards potential Just stake wisely diversify and watch for execution in these early days If they deliver on transparency and growth this could redefine how communities build value in digital assets

Hey @timothy_musick Id like to order a 200K #Bitcoin

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