Bitcoin Is Close to Flipping the Market Structure
“A sustained reclaim of the Realized Price, paired with the MVRV stabilizing and trending above 1.0, would signal a structural regime change.” – Read More
By MorenoDV_ | @cryptoquant_official
“A sustained reclaim of the Realized Price, paired with the MVRV stabilizing and trending above 1.0, would signal a structural regime change.” – Read More
By MorenoDV_ | @cryptoquant_official
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Rebounding at the Average Cost Basis of Early ETF Buyers
“The average cost basis of investors who entered the market following the ETF approval is now acting as a key support level for Bitcoin's current price, and we are seeing a rebound emerge from this zone.” – Read More
By Crypto Dan | @cryptoquant_official
“The average cost basis of investors who entered the market following the ETF approval is now acting as a key support level for Bitcoin's current price, and we are seeing a rebound emerge from this zone.” – Read More
By Crypto Dan | @cryptoquant_official
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Deconstructing April’s Recovery — The Divergence in Supply-Demand Structure Between Bitcoin and Ethereum
“If ETH begins to show sustained spot demand similar to BTC, broader altcoin participation may follow. Until then, Bitcoin dominance is likely to persist.” – Read More
By XWIN Japan | @cryptoquant_official
“If ETH begins to show sustained spot demand similar to BTC, broader altcoin participation may follow. Until then, Bitcoin dominance is likely to persist.” – Read More
By XWIN Japan | @cryptoquant_official
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BTC Breaks $81K as Dominance Rises, but Altcoins Show Early Stabilization
“Trading volumes for altcoins on Binance are also showing signs of gradual recovery. Their share relative to the combined BTC and ETH volumes on Binance has increased from 31% to 49%.” – Read More
By Darkfost | @cryptoquant_official
“Trading volumes for altcoins on Binance are also showing signs of gradual recovery. Their share relative to the combined BTC and ETH volumes on Binance has increased from 31% to 49%.” – Read More
By Darkfost | @cryptoquant_official
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How do you actually use the CryptoQuant MCP for trading?
Plug it into n8n, let it fetch on-chain data, convert it into trading signals, run it through risk management, and execute orders on your exchange.
Step-by-step example 👇
Step 1: trigger + data fetch
Start with a Cron node, which run every day/hour.
Two parallel MCP calls to CryptoQuant:
• Taker Volume
• BTC Price (OHLCV)
This is raw aggressive order flow, who's hitting the bid vs lifting the offer.
Step 2: 7-period MA
Compute a 7-period moving average on the buy/sell ratio. This filters the chop and surfaces the actual trend.
Step 3: z-score
Z-score tells you how extreme the current reading is vs recent history:
• z > +2 → unusually heavy buy pressure
• z < -2 → unusually heavy sell pressure
• in between → noise, do nothing
This is your signal engine.
Step 4: signal generation
Simple branching node:
• IF z > +2 → emit BUY
• IF z < -2 → emit SELL
• ELSE → wait
One variable, one threshold, one decision. Keep it simple.
Step 5: risk gate
Take the recent price range versus the median range of the last 14 periods.
If the market is moving > 2x normal → SKIP the trade or halve the position size.
Never catch a falling knife.
Step 6: define next steps
For example:
🔴 Execute trades on exchange via API/MCP
🔵 Log every trade for monitoring
🟡 Send real-time Telegram alerts
What you have now:
→ Fully autonomous flow
→ Decision based on one meaningful signal (taker imbalance + z-score)
→ Risk management baked in
👉 See CryptoQuant MCP for more.
For educational purposes only — not financial advice
@cryptoquant_official
Plug it into n8n, let it fetch on-chain data, convert it into trading signals, run it through risk management, and execute orders on your exchange.
Step-by-step example 👇
Step 1: trigger + data fetch
Start with a Cron node, which run every day/hour.
Two parallel MCP calls to CryptoQuant:
• Taker Volume
• BTC Price (OHLCV)
This is raw aggressive order flow, who's hitting the bid vs lifting the offer.
Step 2: 7-period MA
Compute a 7-period moving average on the buy/sell ratio. This filters the chop and surfaces the actual trend.
Step 3: z-score
Z-score tells you how extreme the current reading is vs recent history:
z = (value - 30p mean) / 30p std• z > +2 → unusually heavy buy pressure
• z < -2 → unusually heavy sell pressure
• in between → noise, do nothing
This is your signal engine.
Step 4: signal generation
Simple branching node:
• IF z > +2 → emit BUY
• IF z < -2 → emit SELL
• ELSE → wait
One variable, one threshold, one decision. Keep it simple.
Step 5: risk gate
Take the recent price range versus the median range of the last 14 periods.
If the market is moving > 2x normal → SKIP the trade or halve the position size.
Never catch a falling knife.
Step 6: define next steps
For example:
🔴 Execute trades on exchange via API/MCP
🔵 Log every trade for monitoring
🟡 Send real-time Telegram alerts
What you have now:
→ Fully autonomous flow
→ Decision based on one meaningful signal (taker imbalance + z-score)
→ Risk management baked in
👉 See CryptoQuant MCP for more.
For educational purposes only — not financial advice
@cryptoquant_official
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VIEW IN TELEGRAM
ETF buyers are running structured allocations — 2–3% BTC targets, buy the dip, trim the rip.
That's a completely different behavior than the retail/degen cohort that drove prior cycles.
Combined with MicroStrategy's accumulation, there's a structural floor now that didn't exist before.
This bear might look very different.
👉 Watch the full episode now.
Listen to the Podcast on:
Apple Podcasts - Spotify - All Podcast Platforms
@cryptoquant_official
That's a completely different behavior than the retail/degen cohort that drove prior cycles.
Combined with MicroStrategy's accumulation, there's a structural floor now that didn't exist before.
This bear might look very different.
Listen to the Podcast on:
Apple Podcasts - Spotify - All Podcast Platforms
@cryptoquant_official
Please open Telegram to view this post
VIEW IN TELEGRAM
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"The bottom is in." Everyone's saying it
“For the bottom to be confirmed, price needs to clear 88.88K and hold - not wick through, not retest and fail. That puts the most recent cohort back in profit and removes the first layer of sell pressure.” – Read More
By IT Tech | @cryptoquant_official
“For the bottom to be confirmed, price needs to clear 88.88K and hold - not wick through, not retest and fail. That puts the most recent cohort back in profit and removes the first layer of sell pressure.” – Read More
By IT Tech | @cryptoquant_official
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Bitcoin traders are sitting on their highest unrealized profits since June 2025.
Historically, these levels increase correction risk as traders become more incentivized to lock in gains.
In past bear market rallies, rising unrealized profits near the Trader Realized Price have coincided with growing distribution pressure and local tops.
👉 Read the full report.
@cryptoquant_official
Historically, these levels increase correction risk as traders become more incentivized to lock in gains.
In past bear market rallies, rising unrealized profits near the Trader Realized Price have coincided with growing distribution pressure and local tops.
@cryptoquant_official
Please open Telegram to view this post
VIEW IN TELEGRAM
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BTC Accumulation Accelerates While ETH Struggles to Regain Institutional Conviction
“But while Bitcoin appears to have regained institutional confidence relatively quickly, Ethereum still shows signs of hesitation.” – Read More
By MorenoDV_ | @cryptoquant_official
“But while Bitcoin appears to have regained institutional confidence relatively quickly, Ethereum still shows signs of hesitation.” – Read More
By MorenoDV_ | @cryptoquant_official
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