ero_crypto on X
Hi crypto community I'm a Forex, Stock market and cryptocurrency trader with 6 years experience. I'm also investor and cryptocurrency consultant.
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My $ETH long played out perfectly.
I longed at 2938 at manipulation phase on 1m timeframe and added more at the retest of the accumulation box when price hit bullish OB
I longed at 2938 at manipulation phase on 1m timeframe and added more at the retest of the accumulation box when price hit bullish OB
#ETH / $ETH > 2700> 2600 >2500 is losding.
hit follow here on X/ @ero_crypto/ and join my TG channel / @erocryptotradingchannel/ for TA and calls like this.
hit follow here on X/ @ero_crypto/ and join my TG channel / @erocryptotradingchannel/ for TA and calls like this.
#BTC / $BTC 84K> 78K> 74K> 68K even 58K is loading.
Hit follow here on x/ @ero_crypto/ for TA and calls like this.
#marketdump #marketcrash
Hit follow here on x/ @ero_crypto/ for TA and calls like this.
#marketdump #marketcrash
#BTC / $BTC follows my scenario perfectly.
✅
hit follow here, on X / @ero_crypto/ and join my TG channel/ @erocryptotradingchannel/ for more TA and calls.
✅
hit follow here, on X / @ero_crypto/ and join my TG channel/ @erocryptotradingchannel/ for more TA and calls.
$ROVR -Autonomous vehicles don’t fail because #AI isn’t smart enough.
They fail because the data is old.
👉Most AV systems are trained on static maps and historical datasets. But the real world doesn’t stand still. Roads are rerouted. New construction appears overnight. Lane markings fade. Weather changes surfaces. Human driving behavior evolves faster than any model update.
Training AI on yesterday’s world creates blind spots.
🌐 @ROVR_Network exists to fix this problem by turning the physical world into continuously updated ground-truth data. Instead of relying on occasional surveys, ROVR collects live 3D and 4D spatial data at scale, directly from roads as they are used today.
Drivers map streets using ROVR hardware, generating high-fidelity data with centimeter-level accuracy. That data feeds world models used by autonomous vehicles, robotics systems, and spatial AI. When roads change, the data changes with them.
Think of it like this:
Static maps are photographs.
ROVR data is live video.
🔹Over 35 million kilometers have already been mapped across diverse geographies, giving AI systems exposure to real-world variability instead of ideal conditions. Construction zones, detours, weather impacts, and edge cases are captured as they happen, not months later.
🔹Better data means fewer assumptions. Fewer assumptions mean safer autonomy.
🔹The future of self-driving isn’t just smarter algorithms or larger models. Those already exist.
The real advantage comes from training machines on the world as it actually looks, moves, and behaves right now.
Autonomy improves when data keeps up with reality.
They fail because the data is old.
👉Most AV systems are trained on static maps and historical datasets. But the real world doesn’t stand still. Roads are rerouted. New construction appears overnight. Lane markings fade. Weather changes surfaces. Human driving behavior evolves faster than any model update.
Training AI on yesterday’s world creates blind spots.
🌐 @ROVR_Network exists to fix this problem by turning the physical world into continuously updated ground-truth data. Instead of relying on occasional surveys, ROVR collects live 3D and 4D spatial data at scale, directly from roads as they are used today.
Drivers map streets using ROVR hardware, generating high-fidelity data with centimeter-level accuracy. That data feeds world models used by autonomous vehicles, robotics systems, and spatial AI. When roads change, the data changes with them.
Think of it like this:
Static maps are photographs.
ROVR data is live video.
🔹Over 35 million kilometers have already been mapped across diverse geographies, giving AI systems exposure to real-world variability instead of ideal conditions. Construction zones, detours, weather impacts, and edge cases are captured as they happen, not months later.
🔹Better data means fewer assumptions. Fewer assumptions mean safer autonomy.
🔹The future of self-driving isn’t just smarter algorithms or larger models. Those already exist.
The real advantage comes from training machines on the world as it actually looks, moves, and behaves right now.
Autonomy improves when data keeps up with reality.
🇺🇬Coffee is one of the most regulated agricultural commodities in the world. And Uganda sits at the center of it.
Uganda is Africa’s number one coffee exporter and the fifth largest globally. That scale is why @dimitratech being selected as Uganda’s National EUDR Traceability Platform Provider matters far beyond one country.
EUDR compliance at this level sets a reference point for global supply chains. When traceability works in Uganda, it works anywhere.
Dimitra provides end-to-end traceability using satellite imagery, AI, and blockchain to track coffee from farm to export. Every plot, harvest, and transaction is recorded as verifiable data that can be reused for EUDR, ESG reporting, and carbon accountability.
This is not a pilot. It is national infrastructure.
✅In 2025, Dimitra proved adoption at scale by working with cooperatives, traders, exporters, and government stakeholders. In 2026, the focus shifts to deeper integration.
✅Traceability tools are expanding from cooperatives to exporters, embedding compliance where market access decisions are made. Farmer and aggregator engagement is being strengthened to ensure data quality and long-term usage. Compliance outputs are designed to unlock international markets and durable commercial partnerships.
✅DMTR powers access and operation across this system, linking verified agricultural data to real economic activity.
From Uganda’s coffee fields to global buyers, Dimitra is turning regulation into infrastructure and compliance into opportunity.
Uganda is Africa’s number one coffee exporter and the fifth largest globally. That scale is why @dimitratech being selected as Uganda’s National EUDR Traceability Platform Provider matters far beyond one country.
EUDR compliance at this level sets a reference point for global supply chains. When traceability works in Uganda, it works anywhere.
Dimitra provides end-to-end traceability using satellite imagery, AI, and blockchain to track coffee from farm to export. Every plot, harvest, and transaction is recorded as verifiable data that can be reused for EUDR, ESG reporting, and carbon accountability.
This is not a pilot. It is national infrastructure.
✅In 2025, Dimitra proved adoption at scale by working with cooperatives, traders, exporters, and government stakeholders. In 2026, the focus shifts to deeper integration.
✅Traceability tools are expanding from cooperatives to exporters, embedding compliance where market access decisions are made. Farmer and aggregator engagement is being strengthened to ensure data quality and long-term usage. Compliance outputs are designed to unlock international markets and durable commercial partnerships.
✅DMTR powers access and operation across this system, linking verified agricultural data to real economic activity.
From Uganda’s coffee fields to global buyers, Dimitra is turning regulation into infrastructure and compliance into opportunity.
#Bitcoin Fear and Greed Golden Cross Signals Potential Rally
Do you see how often On-chain data contradict each other?
hit follow for more info
Do you see how often On-chain data contradict each other?
hit follow for more info
Annual net realized profits are trending down.
They’ve fallen to 2.5M #BTC , the lowest level since March 2024 and similar to March 2022, when the last bear market was starting.
Net realized losses are following the same pattern, signaling weakening strength in #Bitcoin ’s price.
Hit follow fore more info
They’ve fallen to 2.5M #BTC , the lowest level since March 2024 and similar to March 2022, when the last bear market was starting.
Net realized losses are following the same pattern, signaling weakening strength in #Bitcoin ’s price.
Hit follow fore more info
BITCOIN & ETHEREUM: CRYPTO #ETF LANDSCAPE
Crypto ETFs attract $865.9 million in net inflows over the past week, driven by strong demand for #Bitcoin ETFs, which pulled in $664.1 million and pushed total AUM to $125.1 billion. #Ethereum ETFs saw more modest inflows of $221.8 million, with AUM reaching $18.61 billion.
#BlackRock led all issuers with $617.2 million in combined inflows, while #Grayscale continued to see outflows, losing over $39 millions. Fidelity and ARK posted mixed Bitcoin flows, same as Ethereum flows.
These figures highlight ongoing institutional interest, particularly in Bitcoin ETFs, as capital steadily flows into major players like BlackRock
hit follow for more info
Crypto ETFs attract $865.9 million in net inflows over the past week, driven by strong demand for #Bitcoin ETFs, which pulled in $664.1 million and pushed total AUM to $125.1 billion. #Ethereum ETFs saw more modest inflows of $221.8 million, with AUM reaching $18.61 billion.
#BlackRock led all issuers with $617.2 million in combined inflows, while #Grayscale continued to see outflows, losing over $39 millions. Fidelity and ARK posted mixed Bitcoin flows, same as Ethereum flows.
These figures highlight ongoing institutional interest, particularly in Bitcoin ETFs, as capital steadily flows into major players like BlackRock
hit follow for more info
TOP #STABLECOINS BY MARKET CAPITALIZATION
TOTAL #STABLE MARKET CAP - $315.67B
STABLE DOMINANCE - 10.50%
USDT DOMINANCE - 61.16%
Hit follow for more info
$USDT $USDC #USDe $DAI $PYUSD #USD1 #USDf $USDG $RLUSD
TOTAL #STABLE MARKET CAP - $315.67B
STABLE DOMINANCE - 10.50%
USDT DOMINANCE - 61.16%
Hit follow for more info
$USDT $USDC #USDe $DAI $PYUSD #USD1 #USDf $USDG $RLUSD
$RIVER #RIVER did 15x within a month – Manipulation before $75M+ token unlock?
The main question remains: is this price movement organic growth or market manipulation before $75M unlock?
hit follow for more info
The main question remains: is this price movement organic growth or market manipulation before $75M unlock?
hit follow for more info
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