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#tradingview

tradingview

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Verda Holzmeister Vwzu
ยท
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๐Ÿ“ˆ The same market. ๐Ÿ“Š The same chart. ๐ŸŽฏ The same opportunities. ๐Ÿ’ก The difference isn't luck โ€” it's strategy. ๐ŸŸข For traders with a strategy, the market is full of opportunities. ๐ŸŽฒ Without one, it's just gambling. ๐Ÿ“ GIGGLEUSDT โ€” SHORT ๐Ÿ’ฐ PNL: +3,308.19 USDT ๐Ÿ“ˆ ROI: +103.65% ๐Ÿš€ ๐Ÿ”ฅ This trade was executed using my private TradingView indicator. ๐ŸŽ Want to try it FREE for 2 days? Simply send your TradingView username through the link in my bio, and I'll activate your access personally. โœ… ๐Ÿ’™ Confidence comes from strategy, not luck. โš ๏ธ Risk Disclaimer: Trading involves substantial risk. Past performance does not guarantee future results. #tradingview #crypto #BฤฐNANCE #BTC #giggle
๐Ÿ“ˆ The same market.
๐Ÿ“Š The same chart.
๐ŸŽฏ The same opportunities.

๐Ÿ’ก The difference isn't luck โ€” it's strategy.

๐ŸŸข For traders with a strategy, the market is full of opportunities.
๐ŸŽฒ Without one, it's just gambling.

๐Ÿ“ GIGGLEUSDT โ€” SHORT
๐Ÿ’ฐ PNL: +3,308.19 USDT
๐Ÿ“ˆ ROI: +103.65% ๐Ÿš€

๐Ÿ”ฅ This trade was executed using my private TradingView indicator.

๐ŸŽ Want to try it FREE for 2 days?

Simply send your TradingView username through the link in my bio, and I'll activate your access personally. โœ…

๐Ÿ’™ Confidence comes from strategy, not luck.

โš ๏ธ Risk Disclaimer: Trading involves substantial risk. Past performance does not guarantee future results.

#tradingview #crypto #BฤฐNANCE #BTC #giggle
@ all followers I have not been posting because I was working on a custom trading assistant script on TradingView called Rel. Trading should be done with minimal emotion as possible to mitigate revenge trading, FOMO, or blind entries. So I am working on the signal engine now that will generate signals using fractals, formations, and liquidity levels. For example, the red triangles are sell formations and green ones are buy formations, that tells traders to enter shorts and longs respectively i.e. give you directional bias. These triangles touch highs and lows marked by those smaller triangles which identify fractals. Fractals are used as targets where price could revisit. For example, the short forecast already hit TP 1 and now price may hit TP 2 and TP 3 where you can see fractals marked by green small triangles. Moreover, Rel also uses previous day and weekly highs and lows to know where to take profit or where price will have a reaction. It will use 3-5* ATR to set SL. All these will be in signal engine, I am currently working on. That's what I have been up to trading fam. I am ecstatic about my achievements as it took blood, sweat, tears, months, trial and error to get it working correctly. Now I want to gather trading outcome data from anyone new or seasoned traders. I will be giving free access on TradingView for 2 weeks so I can get feedback for anyone interested to use it. Just DM REL in comments and I will send the first 50 commentors the link and manual for you to start your 2 weeks free trial. I only ask you share your PnLs, testimonies, etc. on Binance Square and credit REL. NOTE: Rel is an assistant not a replacement for your trading decisions. For a SCALP trade, Rel printed a sell formation on 15 min BTCUSDT.P and my first TP 1 was hit. Now I am waiting for TP 2 and 3. $BTC {future}(BTCUSDT) Thank you for reading fam. Good trading guys. As always DYOR and this is for educational purposes not financial advice. #WAGMI #TradingView #TradingScripts
@ all followers

I have not been posting because I was working on a custom trading assistant script on TradingView called Rel. Trading should be done with minimal emotion as possible to mitigate revenge trading, FOMO, or blind entries. So I am working on the signal engine now that will generate signals using fractals, formations, and liquidity levels. For example, the red triangles are sell formations and green ones are buy formations, that tells traders to enter shorts and longs respectively i.e. give you directional bias.

These triangles touch highs and lows marked by those smaller triangles which identify fractals. Fractals are used as targets where price could revisit. For example, the short forecast already hit TP 1 and now price may hit TP 2 and TP 3 where you can see fractals marked by green small triangles.

Moreover, Rel also uses previous day and weekly highs and lows to know where to take profit or where price will have a reaction. It will use 3-5* ATR to set SL. All these will be in signal engine, I am currently working on.

That's what I have been up to trading fam. I am ecstatic about my achievements as it took blood, sweat, tears, months, trial and error to get it working correctly. Now I want to gather trading outcome data from anyone new or seasoned traders. I will be giving free access on TradingView for 2 weeks so I can get feedback for anyone interested to use it. Just DM REL in comments and I will send the first 50 commentors the link and manual for you to start your 2 weeks free trial.

I only ask you share your PnLs, testimonies, etc. on Binance Square and credit REL.

NOTE: Rel is an assistant not a replacement for your trading decisions.

For a SCALP trade, Rel printed a sell formation on 15 min BTCUSDT.P and my first TP 1 was hit. Now I am waiting for TP 2 and 3.

$BTC

Thank you for reading fam. Good trading guys.

As always DYOR and this is for educational purposes not financial advice.

#WAGMI #TradingView #TradingScripts
TradingView has expanded its map again: Supercharts now directly supports Hyperliquid and Trade[XYZ] market data. Itโ€™s simple to useโ€”open the search box and enter the HYPERLIQUID: prefix to pull up perpetual contract่กŒๆƒ… data from Hyperliquid; enter HIP3XYZ: to bring up the market for Trade[XYZ]. For people who are used to drawing lines on TradingView for technical analysis, this means you no longer have to keep switching platformsโ€”on-chain perps can be compared side by side with spot and traditional assets on the same chart. Personal observation: these kinds of aggregation entry points are being rolled out more and more broadly, which suggests that decentralized derivatives market data is being officially โ€œacceptedโ€ as a first-class citizen by mainstream charting tools. For anyone doing long/short platform arbitrage, cross-market hedging, or simply wanting to visualize positions from HL, this is a genuine efficiency upgrade. Worth noting: data integration โ‰  direct order placement. TradingView currently offers support at the charting and analysis layer only. #Hyperliquid #TradingView #DeFi
TradingView has expanded its map again: Supercharts now directly supports Hyperliquid and Trade[XYZ] market data.

Itโ€™s simple to useโ€”open the search box and enter the HYPERLIQUID: prefix to pull up perpetual contract่กŒๆƒ… data from Hyperliquid; enter HIP3XYZ: to bring up the market for Trade[XYZ]. For people who are used to drawing lines on TradingView for technical analysis, this means you no longer have to keep switching platformsโ€”on-chain perps can be compared side by side with spot and traditional assets on the same chart.

Personal observation: these kinds of aggregation entry points are being rolled out more and more broadly, which suggests that decentralized derivatives market data is being officially โ€œacceptedโ€ as a first-class citizen by mainstream charting tools. For anyone doing long/short platform arbitrage, cross-market hedging, or simply wanting to visualize positions from HL, this is a genuine efficiency upgrade.

Worth noting: data integration โ‰  direct order placement. TradingView currently offers support at the charting and analysis layer only.

#Hyperliquid #TradingView #DeFi
TradingView officially announced the integration of Hyperliquid and Trade[XYZ]่กŒๆƒ… data, which is a considerable convenience for on-chain derivatives traders. In the future, you wonโ€™t have to keep switching back and forth between multiple terminals. Just type the HYPERLIQUID: or HIP3XYZ: prefix into the Supercharts search box to pull up the corresponding market, then apply the indicator scripts and drawing tools youโ€™re familiar with to do technical analysis. For me, the significance of this step isnโ€™t just that thereโ€™s โ€œone more data source.โ€ TradingView is one of the most mainstream charting platforms globally, and its willingness to proactively integrate Hyperliquid suggests that on-chain perpetual trading volume and attention have already reached a scale that traditional tools must take seriously. Previously, many people complained that on-chain order books werenโ€™t convenient to viewโ€”but now that barrier has been leveled. Trade[XYZ] follows the HIP-3 licensed market route. Being listed separately in TradingView with its own prefix also indirectly confirms the independent value of Hyperliquidโ€™s ecosystem sub-markets being recognized by outsiders. Quick reminder: after switching over, remember to verify the contract underlying and the funding fee rate cycleโ€”donโ€™t just copy the parameters from a CEX directly. #Hyperliquid #TradingView #HIP3
TradingView officially announced the integration of Hyperliquid and Trade[XYZ]่กŒๆƒ… data, which is a considerable convenience for on-chain derivatives traders.

In the future, you wonโ€™t have to keep switching back and forth between multiple terminals. Just type the HYPERLIQUID: or HIP3XYZ: prefix into the Supercharts search box to pull up the corresponding market, then apply the indicator scripts and drawing tools youโ€™re familiar with to do technical analysis.

For me, the significance of this step isnโ€™t just that thereโ€™s โ€œone more data source.โ€ TradingView is one of the most mainstream charting platforms globally, and its willingness to proactively integrate Hyperliquid suggests that on-chain perpetual trading volume and attention have already reached a scale that traditional tools must take seriously. Previously, many people complained that on-chain order books werenโ€™t convenient to viewโ€”but now that barrier has been leveled.

Trade[XYZ] follows the HIP-3 licensed market route. Being listed separately in TradingView with its own prefix also indirectly confirms the independent value of Hyperliquidโ€™s ecosystem sub-markets being recognized by outsiders.

Quick reminder: after switching over, remember to verify the contract underlying and the funding fee rate cycleโ€”donโ€™t just copy the parameters from a CEX directly.

#Hyperliquid #TradingView #HIP3
TradingView just expanded tradersโ€™ toolbox by one more notch. Now in Supercharts, when searching, you can simply type the HYPERLIQUID: prefix to pull up Hyperliquid perpetual market data. Enter HIP3XYZ: to bring up market data for Trade[XYZ]. Candlesticks, indicators, and drawing tools can all be overlaid as usual. For friends trading on-chain perps, this step is quite meaningful. Previously, checking Hyperliquid required flipping back and forth between the official interface and TV. Now you can put it alongside CEXs, stocks, and forex on the same chart for cross-market comparisons. Script backtests and multi-timeframe analysis also get a lot easier. Trade[XYZ], one of the earlier groups integrated into the HIP-3 ecosystem, being synced and launched here is also a sign that TVโ€™s coverage pace for emerging DEXs is accelerating. The infrastructure for on-chain derivatives is being filled in layer by layer. Integrations of professional tools are often more worth watching than the launch of a brand-new token. #Hyperliquid #TradingView #DeFi $HYPE
TradingView just expanded tradersโ€™ toolbox by one more notch.

Now in Supercharts, when searching, you can simply type the HYPERLIQUID: prefix to pull up Hyperliquid perpetual market data. Enter HIP3XYZ: to bring up market data for Trade[XYZ]. Candlesticks, indicators, and drawing tools can all be overlaid as usual.

For friends trading on-chain perps, this step is quite meaningful. Previously, checking Hyperliquid required flipping back and forth between the official interface and TV. Now you can put it alongside CEXs, stocks, and forex on the same chart for cross-market comparisons. Script backtests and multi-timeframe analysis also get a lot easier.

Trade[XYZ], one of the earlier groups integrated into the HIP-3 ecosystem, being synced and launched here is also a sign that TVโ€™s coverage pace for emerging DEXs is accelerating.

The infrastructure for on-chain derivatives is being filled in layer by layer. Integrations of professional tools are often more worth watching than the launch of a brand-new token.

#Hyperliquid #TradingView #DeFi

$HYPE
TradingView has expanded the toolbox by one more slotโ€”now you can directly pull Hyperliquid and Trade[XYZ]่กŒๆƒ… (market data) in Supercharts. The operation is straightforward: type the prefix HYPERLIQUID: or HIP3XYZ: into the search box, and the corresponding market will pop up immediately. Then your familiar workflowโ€”candlesticks (K-lines), indicators, and drawing toolsโ€”gets applied right away. For people trading perpetuals and derivatives, this means you no longer have to switch back and forth between multiple front-ends. On-chain markets can finally be compared on the same chart as mainstream CEXs. HIP3, as Hyperliquidโ€™s permissionless market framework, has also for the first time secured an official seat in mainstream charting tools. In a way, itโ€™s a signal that on-chain order books are being embraced by broader workflows. The details may seem small, but for high-frequency traders watching charts, the efficiency gains are real. #Hyperliquid #TradingView #HIP3
TradingView has expanded the toolbox by one more slotโ€”now you can directly pull Hyperliquid and Trade[XYZ]่กŒๆƒ… (market data) in Supercharts.

The operation is straightforward: type the prefix HYPERLIQUID: or HIP3XYZ: into the search box, and the corresponding market will pop up immediately. Then your familiar workflowโ€”candlesticks (K-lines), indicators, and drawing toolsโ€”gets applied right away.

For people trading perpetuals and derivatives, this means you no longer have to switch back and forth between multiple front-ends. On-chain markets can finally be compared on the same chart as mainstream CEXs. HIP3, as Hyperliquidโ€™s permissionless market framework, has also for the first time secured an official seat in mainstream charting tools. In a way, itโ€™s a signal that on-chain order books are being embraced by broader workflows.

The details may seem small, but for high-frequency traders watching charts, the efficiency gains are real.

#Hyperliquid #TradingView #HIP3
TradingView has officially integrated Hyperliquid and Trade[XYZ] market data. In the Supercharts search box, enter the prefix HYPERLIQUID: to bring up perpetual contract data on Hyperliquid. Enter the prefix HIP3XYZ: to view Trade[XYZ] market data. This means that on-chain derivativesโ€™ candlesticks, order book depth, and trades can finally be analyzed on the same chart alongside mainstream CEXsโ€”enabling technical analysis and cross-market comparisons. For traders who are used to drawing lines and conducting multi-timeframe research directly on TradingView, on-chain perps are now truly โ€œincluded in the workflowโ€ for the first time, rather than requiring constant switching between wallets and the web interface. Data is the gateway. When a blockchainโ€™s market information can be directly retrieved by professional charting tools, it moves one step closer to mainstream tradersโ€™ focus. #Hyperliquid #TradingView $HYPE
TradingView has officially integrated Hyperliquid and Trade[XYZ] market data.

In the Supercharts search box, enter the prefix HYPERLIQUID: to bring up perpetual contract data on Hyperliquid. Enter the prefix HIP3XYZ: to view Trade[XYZ] market data.

This means that on-chain derivativesโ€™ candlesticks, order book depth, and trades can finally be analyzed on the same chart alongside mainstream CEXsโ€”enabling technical analysis and cross-market comparisons. For traders who are used to drawing lines and conducting multi-timeframe research directly on TradingView, on-chain perps are now truly โ€œincluded in the workflowโ€ for the first time, rather than requiring constant switching between wallets and the web interface.

Data is the gateway. When a blockchainโ€™s market information can be directly retrieved by professional charting tools, it moves one step closer to mainstream tradersโ€™ focus.

#Hyperliquid #TradingView $HYPE
๐Ÿ“Š **TradingView Expands Its Data Coverage Again: Hyperliquid and Trade[XYZ] Now Integrated** TradingView has announced new data support for Hyperliquid and Trade[XYZ] within its Supercharts. Users just need to open the search bar and enter the `HYPERLIQUID:` or `HIP3XYZ:` prefix to directly query real-time market data for the corresponding markets. This integration means on-chain derivatives data is further being incorporated into mainstream charting tools. For users accustomed to technical analysis on TradingView, thereโ€™s no need to switch platforms to track the performance of assets in the Hyperliquid ecosystem and Trade[XYZ], reducing information friction. As on-chain trading continues to move toward the mainstream, the level of support that traditional charting tools provide for emerging protocolsโ€”at least to a certain extentโ€”also reflects where market attention is heading. #TradingView #Hyperliquid
๐Ÿ“Š **TradingView Expands Its Data Coverage Again: Hyperliquid and Trade[XYZ] Now Integrated**

TradingView has announced new data support for Hyperliquid and Trade[XYZ] within its Supercharts. Users just need to open the search bar and enter the `HYPERLIQUID:` or `HIP3XYZ:` prefix to directly query real-time market data for the corresponding markets.

This integration means on-chain derivatives data is further being incorporated into mainstream charting tools. For users accustomed to technical analysis on TradingView, thereโ€™s no need to switch platforms to track the performance of assets in the Hyperliquid ecosystem and Trade[XYZ], reducing information friction.

As on-chain trading continues to move toward the mainstream, the level of support that traditional charting tools provide for emerging protocolsโ€”at least to a certain extentโ€”also reflects where market attention is heading.

#TradingView #Hyperliquid
ยท
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BOOM TradingView just unlocked Hyperliquid markets in a shocking move that will OBLITERATE the way we trade crypto. They've integrated real-time data for Hyperliquid and Trade[XYZ] into their charting platform, giving users unprecedented access to onchain perpetual and spot markets. #Hyperliquid #TradingView #CryptoTrading This game-changing move means market participants can now react seconds after new information hits - setting the stage for a historic shift in the world of crypto trading. The stakes are higher than ever, and this development could spell disaster for those who don't keep up. Can you afford to miss out on this tidal wave of change? What's your next move?
BOOM

TradingView just unlocked Hyperliquid markets in a shocking move that will OBLITERATE the way we trade crypto. They've integrated real-time data for Hyperliquid and Trade[XYZ] into their charting platform, giving users unprecedented access to onchain perpetual and spot markets. #Hyperliquid #TradingView #CryptoTrading

This game-changing move means market participants can now react seconds after new information hits - setting the stage for a historic shift in the world of crypto trading. The stakes are higher than ever, and this development could spell disaster for those who don't keep up. Can you afford to miss out on this tidal wave of change?

What's your next move?
ยท
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$BNB $XRP $BTC Follow new Binance derivative metrics Explore new indicators on your Supercharts. Access index price, mark price, top traders positioning and more for Binance futures and perpetual swaps to level up your crypto research. Using #tradingview
$BNB $XRP $BTC

Follow new Binance derivative metrics

Explore new indicators on your Supercharts. Access index price, mark price, top traders positioning and more for Binance futures and perpetual swaps to level up your crypto research. Using #tradingview
ยท
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Bullish
๐ŸŽญ THE TRADINGVIEW IDEAS COMEDY Posts a chart with 15 arrows, 8 fibonacci levels, and 3 question marks. ๐Ÿ“Š Caption: "Clear bullish setup, can't go wrong here ๐Ÿš€" Price goes sideways for 3 weeks. ๐Ÿ˜ Deletes post quietly. ๐Ÿ—‘๏ธ ๐Ÿ‘‡ Like if you've ever deleted a "can't go wrong" trading idea! ๐Ÿ˜‚ #TradingView #TechnicalAnalysis #NexApexTrade $D $HIGH $ID
๐ŸŽญ THE TRADINGVIEW IDEAS COMEDY
Posts a chart with 15 arrows, 8 fibonacci levels, and 3 question marks. ๐Ÿ“Š
Caption: "Clear bullish setup, can't go wrong here ๐Ÿš€"
Price goes sideways for 3 weeks. ๐Ÿ˜
Deletes post quietly. ๐Ÿ—‘๏ธ
๐Ÿ‘‡ Like if you've ever deleted a "can't go wrong" trading idea! ๐Ÿ˜‚
#TradingView #TechnicalAnalysis #NexApexTrade $D $HIGH $ID
ยท
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three tabs. that is the baseline for most onchain traders before a single order gets placed. chart on one screen, position on another, price feed somewhere in between. the mental translation between all three runs continuously in the background of every decision. genius terminal embeds tradingview charts natively inside the trading interface. not a redirect, not a simplified version. the same charting environment that 50 million professional traders rely on globally, inside the same screen where positions are opened, adjusted, and closed. the asymmetry here is not about convenience. it is about what happens structurally when analysis and execution live in separate environments. when you pull a level from one tab and act on another, you are working with context that has already begun to drift, and the cognitive overhead of rebuilding it after each switch accumulates silently, trade by trade, across every session. if you remove that gap, behavior changes in ways that are not immediately visible. traders can annotate a structure, confirm a signal, and execute without rebuilding their mental context from scratch each time. the friction was never missing from defi, it was just normalized deeply enough that most participants stopped registering the cost they were paying on every individual trade. this kind of integration is not new in traditional finance. bloomberg terminal users have had unified charting and execution for decades. what is unusual is that onchain environments have consistently treated the charting layer as something external, as a layer the user was expected to bridge manually on their own, every session. what does not resolve easily is whether collapsing this gap changes how decisions get made at a structural level, or whether it mostly compresses the time it takes to reach the same decisions. those are different outcomes, and the difference between them says something real about what kind of environment this is actually being built to be. @GeniusOfficial $GENIUS #genius #TradingView #DeFi $ZEC $BTC
three tabs. that is the baseline for most onchain traders before a single order gets placed. chart on one screen, position on another, price feed somewhere in between. the mental translation between all three runs continuously in the background of every decision.

genius terminal embeds tradingview charts natively inside the trading interface. not a redirect, not a simplified version. the same charting environment that 50 million professional traders rely on globally, inside the same screen where positions are opened, adjusted, and closed.

the asymmetry here is not about convenience. it is about what happens structurally when analysis and execution live in separate environments. when you pull a level from one tab and act on another, you are working with context that has already begun to drift, and the cognitive overhead of rebuilding it after each switch accumulates silently, trade by trade, across every session.

if you remove that gap, behavior changes in ways that are not immediately visible. traders can annotate a structure, confirm a signal, and execute without rebuilding their mental context from scratch each time. the friction was never missing from defi, it was just normalized deeply enough that most participants stopped registering the cost they were paying on every individual trade.

this kind of integration is not new in traditional finance. bloomberg terminal users have had unified charting and execution for decades. what is unusual is that onchain environments have consistently treated the charting layer as something external, as a layer the user was expected to bridge manually on their own, every session.

what does not resolve easily is whether collapsing this gap changes how decisions get made at a structural level, or whether it mostly compresses the time it takes to reach the same decisions. those are different outcomes, and the difference between them says something real about what kind of environment this is actually being built to be.

@GeniusOfficial $GENIUS #genius #TradingView #DeFi

$ZEC $BTC
The core logic of SYS03โ€”explain it in one sentence: Only when all three EMA moving averages are aligned in the same direction and the momentum indicator confirms at the same time, will a signal be triggered. Why so strict? Because Iโ€™ve seen too many people enter when they โ€œfeel like itโ€™s going up,โ€ then watch the direction reverse, but end up holding on because thereโ€™s โ€œno clear stop-loss level,โ€ and get wiped out. SYS03โ€™s strict conditions are designed to filter out those โ€œsignals that look likeโ€ theyโ€™re real. Do less, but every single time has a reason. Search for SYS03 on TradingView and run your own backtest. #TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC $BTC $XAUT $HYPE
The core logic of SYS03โ€”explain it in one sentence:

Only when all three EMA moving averages are aligned in the same direction and the momentum indicator confirms at the same time, will a signal be triggered.

Why so strict?

Because Iโ€™ve seen too many people enter when they โ€œfeel like itโ€™s going up,โ€
then watch the direction reverse,
but end up holding on because thereโ€™s โ€œno clear stop-loss level,โ€ and get wiped out.

SYS03โ€™s strict conditions are designed to filter out those โ€œsignals that look likeโ€ theyโ€™re real.

Do less, but every single time has a reason.

Search for SYS03 on TradingView and run your own backtest.

#TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC
$BTC $XAUT $HYPE
It took me a few months to use AI to build three BTC futures quantitative trading signal sets. Each of the three strategies has its own role: ยท SYS03 EMA triple impulse โ€” tracking the main wave of the intermediate trend; 54 trades in the past year; profit factor 1.46 ยท SYS05 Volatility energy breakout โ€” dual squeeze of the Bollinger Bands + Keltner Channels to capture energy surges; profit factor 1.49 ยท SYS06 RSI divergence reversal โ€” only 15 trades in the past year; win rate 66.67%; profit factor 3.57; maximum drawdown 0.25% All of them are backtested on TradingView. You can reproduce the numbers yourselfโ€”no need to trust what I say. If youโ€™re interested, DM me directly on X (Twitter). Limited spotsโ€”first come, first served. #้‡ๅŒ–ไบคๆ˜“ #TradingView #quant signals $BTC $XAUT $HYPE
It took me a few months to use AI to build three BTC futures quantitative trading signal sets.

Each of the three strategies has its own role:
ยท SYS03 EMA triple impulse โ€” tracking the main wave of the intermediate trend; 54 trades in the past year; profit factor 1.46
ยท SYS05 Volatility energy breakout โ€” dual squeeze of the Bollinger Bands + Keltner Channels to capture energy surges; profit factor 1.49
ยท SYS06 RSI divergence reversal โ€” only 15 trades in the past year; win rate 66.67%; profit factor 3.57; maximum drawdown 0.25%

All of them are backtested on TradingView. You can reproduce the numbers yourselfโ€”no need to trust what I say.

If youโ€™re interested, DM me directly on X (Twitter). Limited spotsโ€”first come, first served.

#้‡ๅŒ–ไบคๆ˜“ #TradingView #quant signals
$BTC $XAUT $HYPE
SYS03โ€™s core logic, explained in one sentence: All three EMA moving averages must be aligned in the same direction, and the momentum indicators must confirm at the same timeโ€”only then does a signal trigger. Why be this strict? Because Iโ€™ve seen too many people enter when they โ€œfeel itโ€™s about to go up,โ€ then watch the direction reverse, but end up stubbornly holding on because they โ€œdonโ€™t have a clear stop-loss point,โ€ thus getting wiped out. SYS03โ€™s strict conditions are designed to filter out these โ€œlooks-likeโ€ fake signals. Do less, but every trade has a reason. Search for SYS03 on TradingView and run your own backtest. #TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC $BTC $XAUT $HYPE
SYS03โ€™s core logic, explained in one sentence:

All three EMA moving averages must be aligned in the same direction, and the momentum indicators must confirm at the same timeโ€”only then does a signal trigger.

Why be this strict?

Because Iโ€™ve seen too many people enter when they โ€œfeel itโ€™s about to go up,โ€
then watch the direction reverse,
but end up stubbornly holding on because they โ€œdonโ€™t have a clear stop-loss point,โ€
thus getting wiped out.

SYS03โ€™s strict conditions are designed to filter out these โ€œlooks-likeโ€ fake signals.

Do less, but every trade has a reason.

Search for SYS03 on TradingView and run your own backtest.

#TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC
$BTC $XAUT $HYPE
ยท
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Bullish
$SOL Precision is everything. ๐ŸŽฏ Caught this clean +104% move on $SOL (98x leverage) thanks to a sniper entry signal from my custom TradingView indicator, Walid Trend. When the algorithm perfectly aligns with market structure, the results speak for themselves. ๐Ÿ“ˆ๐Ÿค– Let the system do the work. #CryptoTrading #WalidTrend #solona a #AlgorithmicTrading #tradingview
$SOL Precision is everything. ๐ŸŽฏ Caught this clean +104% move on $SOL (98x leverage) thanks to a sniper entry signal from my custom TradingView indicator, Walid Trend. When the algorithm perfectly aligns with market structure, the results speak for themselves. ๐Ÿ“ˆ๐Ÿค– Let the system do the work.
#CryptoTrading #WalidTrend #solona a #AlgorithmicTrading #tradingview
SYS03โ€™s core logicโ€”explain it in one sentence: All three EMA moving averages must be aligned in the same direction, and the momentum indicator must confirm in sync before a signal is triggered. Why so strict? Because Iโ€™ve seen too many people enter trades when they just โ€œfeel like itโ€™s going up,โ€ then watch the direction reverseโ€”yet they end up holding on because thereโ€™s โ€œno clear stop-loss level,โ€ and they get wiped out. SYS03โ€™s strict conditions are designed to filter out these โ€œlooks-likeโ€ false signals. Do less, but every time thereโ€™s a reason. On TradingView, search for SYS03 and you can run your own backtests. #TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC $BTC $XAUT $HYPE
SYS03โ€™s core logicโ€”explain it in one sentence:

All three EMA moving averages must be aligned in the same direction, and the momentum indicator must confirm in sync before a signal is triggered.

Why so strict?

Because Iโ€™ve seen too many people enter trades when they just โ€œfeel like itโ€™s going up,โ€
then watch the direction reverseโ€”yet they end up holding on because thereโ€™s โ€œno clear stop-loss level,โ€ and they get wiped out.

SYS03โ€™s strict conditions are designed to filter out these โ€œlooks-likeโ€ false signals.

Do less, but every time thereโ€™s a reason.

On TradingView, search for SYS03 and you can run your own backtests.

#TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC
$BTC $XAUT $HYPE
๐Ÿ“ฐ Crypto Market Hotspot Brief 1. TradingView adds data entry for Hyperliquid and trade.XYZ TradingView has recently added support for market data from Hyperliquid and trade.XYZ, further expanding the visualization coverage of on-chain and derivatives trading data. Users can directly enter the prefixes โ€œHYPERLIQUID:โ€ or โ€œHIP3XYZ:โ€ in the Supercharts search bar to quickly locate related trading pairs and market information. This helps improve tradersโ€™ watchlist efficiency, ease of technical analysis, and the cross-platform data retrieval experience, while also reflecting a continuously rising level of market attention toward emerging trading ecosystems. 2. ANSEM price strengthens; related positionsโ€™ value surpasses $200 million According to on-chain monitoring, as the ANSEM price has continued to rise recently, its total market cap has climbed above $350 million, with market enthusiasm clearly increasing. Meanwhile, the value of ANSEM assets held by the crypto KOL Ansem has also exceeded $204 million, indicating that holdings by top addresses can significantly amplify project attention and market sentiment. Investors should pay close attention to potential risks arising from highly concentrated holdings, amplified price volatility, and short-term sentiment-driven fluctuations. #ๅŠ ๅฏ†ๅธ‚ๅœบ #TradingView #ANSEM
๐Ÿ“ฐ Crypto Market Hotspot Brief

1. TradingView adds data entry for Hyperliquid and trade.XYZ
TradingView has recently added support for market data from Hyperliquid and trade.XYZ, further expanding the visualization coverage of on-chain and derivatives trading data. Users can directly enter the prefixes โ€œHYPERLIQUID:โ€ or โ€œHIP3XYZ:โ€ in the Supercharts search bar to quickly locate related trading pairs and market information. This helps improve tradersโ€™ watchlist efficiency, ease of technical analysis, and the cross-platform data retrieval experience, while also reflecting a continuously rising level of market attention toward emerging trading ecosystems.

2. ANSEM price strengthens; related positionsโ€™ value surpasses $200 million
According to on-chain monitoring, as the ANSEM price has continued to rise recently, its total market cap has climbed above $350 million, with market enthusiasm clearly increasing. Meanwhile, the value of ANSEM assets held by the crypto KOL Ansem has also exceeded $204 million, indicating that holdings by top addresses can significantly amplify project attention and market sentiment. Investors should pay close attention to potential risks arising from highly concentrated holdings, amplified price volatility, and short-term sentiment-driven fluctuations.

#ๅŠ ๅฏ†ๅธ‚ๅœบ #TradingView #ANSEM
๐Ÿ“ฐ Crypto Market Highlights 1. TradingView integrates Hyperliquid real-time quotes TradingView announced an expansion of its market coverage, adding real-time data interfaces for Hyperliquid and Trade[XYZ]. Users can directly view on-chain perpetual contract and spot market dynamics from within the charting interface. Among them, Hyperliquid-related markets will be displayed with a dedicated prefix, further lowering the information-access barrier for trading on-chain derivatives. This move is expected to increase Hyperliquidโ€™s market exposure and trading activity, and also reflects that mainstream market tools are continuously strengthening support for on-chain native trading ecosystems. 2. Rising attention to the Hyperliquid ecosystem, but compliance concerns remain With TradingView launching Hyperliquid quotes, the platformโ€™s on-chain trading infrastructure has once again attracted market attention. Public information shows that Hyperliquid is built on its own Layer1 network and covers more than 300 perpetual and spot markets, placing it among the leading players in the on-chain derivatives space. However, the platform has previously been listed by some regulators in an investor warning category, meaning that beyond liquidity and growth potential, compliance risk is still an important variable that market participants need to evaluate in parallel. 3. Citi believes aluminum prices may have bottomed in the short term; sentiment around risk assets to be monitored Citiโ€™s latest view suggests that aluminum prices may gradually stabilize over the coming period, and then rise to a higher range in the later stages of the year. Its logic includes expectations of a more accommodative monetary policy, a decline in real interest rates, improved demand prospects, and easing inventory pressure. Although this news is not directly from the crypto market, a rebound in commodity price expectations is often seen as a key reference for global risk appetite and inflation-trade sentiment, and may indirectly influence market views on crypto assets and macro liquidity. #Hyperliquid #TradingView #crypto
๐Ÿ“ฐ Crypto Market Highlights

1. TradingView integrates Hyperliquid real-time quotes
TradingView announced an expansion of its market coverage, adding real-time data interfaces for Hyperliquid and Trade[XYZ]. Users can directly view on-chain perpetual contract and spot market dynamics from within the charting interface. Among them, Hyperliquid-related markets will be displayed with a dedicated prefix, further lowering the information-access barrier for trading on-chain derivatives. This move is expected to increase Hyperliquidโ€™s market exposure and trading activity, and also reflects that mainstream market tools are continuously strengthening support for on-chain native trading ecosystems.

2. Rising attention to the Hyperliquid ecosystem, but compliance concerns remain
With TradingView launching Hyperliquid quotes, the platformโ€™s on-chain trading infrastructure has once again attracted market attention. Public information shows that Hyperliquid is built on its own Layer1 network and covers more than 300 perpetual and spot markets, placing it among the leading players in the on-chain derivatives space. However, the platform has previously been listed by some regulators in an investor warning category, meaning that beyond liquidity and growth potential, compliance risk is still an important variable that market participants need to evaluate in parallel.

3. Citi believes aluminum prices may have bottomed in the short term; sentiment around risk assets to be monitored
Citiโ€™s latest view suggests that aluminum prices may gradually stabilize over the coming period, and then rise to a higher range in the later stages of the year. Its logic includes expectations of a more accommodative monetary policy, a decline in real interest rates, improved demand prospects, and easing inventory pressure. Although this news is not directly from the crypto market, a rebound in commodity price expectations is often seen as a key reference for global risk appetite and inflation-trade sentiment, and may indirectly influence market views on crypto assets and macro liquidity.

#Hyperliquid #TradingView #crypto
The core logic of SYS03, summed up in one sentence: All three EMA lines must be aligned in the same direction, with momentum indicators confirming, to trigger a signal. Why such strict criteria? Because I've seen too many folks jump in when they "feel like itโ€™s going to pump," only to watch the trend reverse and hold on for dear life without a clear stop-loss. SYS03โ€™s strict conditions are designed to filter out those "look-alike" false signals. Trade less, but with purpose every time. Search for SYS03 on TradingView and run your own backtest. #TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC $BTC $XAUT $HYPE
The core logic of SYS03, summed up in one sentence:

All three EMA lines must be aligned in the same direction, with momentum indicators confirming, to trigger a signal.

Why such strict criteria?

Because I've seen too many folks jump in when they "feel like itโ€™s going to pump," only to watch the trend reverse and hold on for dear life without a clear stop-loss.

SYS03โ€™s strict conditions are designed to filter out those "look-alike" false signals.

Trade less, but with purpose every time.

Search for SYS03 on TradingView and run your own backtest.

#TradingView #้‡ๅŒ–ไบคๆ˜“ #BTC
$BTC $XAUT $HYPE
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