☕️ Coffee Futures at 280 – Decision Zone
Coffee is testing the 280 support area after a prolonged downtrend.
What stands out:
• RSI & Stochastic showing bullish divergence
• Open Interest rising over recent sessions
• Curve remains clearly backwardated
Backwardation suggests physical tightness.
Pressing new shorts into a tight market increases squeeze risk.
This is an inflection point:
If 280 holds → short-covering bounce toward 310–320 possible.
If it breaks with volume → acceleration toward 250.
Futures structure matters.
https://www.tradingview.com/chart/KC1!/DGyN2IZe-Coffee-Futures-at-Key-Support-Backwardation-Divergence-Setup/
Coffee is testing the 280 support area after a prolonged downtrend.
What stands out:
• RSI & Stochastic showing bullish divergence
• Open Interest rising over recent sessions
• Curve remains clearly backwardated
Backwardation suggests physical tightness.
Pressing new shorts into a tight market increases squeeze risk.
This is an inflection point:
If 280 holds → short-covering bounce toward 310–320 possible.
If it breaks with volume → acceleration toward 250.
Futures structure matters.
https://www.tradingview.com/chart/KC1!/DGyN2IZe-Coffee-Futures-at-Key-Support-Backwardation-Divergence-Setup/
TradingView
Coffee Futures at Key Support – Backwardation + Divergence Setup for ICEUS:KC1! by QuantNomad
☕ Coffee C futures are testing the 280 support zone after a prolonged bearish move.
Despite the downtrend, several important signals are developing beneath the surface.
🔎 What We See
Price pressing into prior reaction area near 280
RSI & Stochastic showing…
Despite the downtrend, several important signals are developing beneath the surface.
🔎 What We See
Price pressing into prior reaction area near 280
RSI & Stochastic showing…
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Most traders analyze price.
But in commodities, the real signal is often hidden in the forward curve.
Backwardation and contango tell you:
• inventory pressure
• physical demand
• carry conditions
• roll yield regime
The problem?
TradingView doesn’t show term structure properly by default.
I wrote a complete guide explaining:
– What backwardation really means
– How to calculate it correctly
– Why raw spreads are misleading
– How professionals monitor curve slope
– How to automate it
If you trade oil, coffee, wheat, natural gas — this matters.
https://quantribe.io/the-complete-guide-to-backwardation-on-tradingview/
But in commodities, the real signal is often hidden in the forward curve.
Backwardation and contango tell you:
• inventory pressure
• physical demand
• carry conditions
• roll yield regime
The problem?
TradingView doesn’t show term structure properly by default.
I wrote a complete guide explaining:
– What backwardation really means
– How to calculate it correctly
– Why raw spreads are misleading
– How professionals monitor curve slope
– How to automate it
If you trade oil, coffee, wheat, natural gas — this matters.
https://quantribe.io/the-complete-guide-to-backwardation-on-tradingview/
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Soybean Meal (ZM) back above 100 & 250 MA — bullish technical shift.
Curve still backwardated (3–6), but total OI is falling → likely short covering, not fresh longs.
Need rising OI for real continuation.
#futures #commodities #agriculture
https://www.tradingview.com/chart/ZM1!/uAACHy6f-Soybean-Meal-Futures-Breakout-on-Short-Covering/
Curve still backwardated (3–6), but total OI is falling → likely short covering, not fresh longs.
Need rising OI for real continuation.
#futures #commodities #agriculture
https://www.tradingview.com/chart/ZM1!/uAACHy6f-Soybean-Meal-Futures-Breakout-on-Short-Covering/
TradingView
Soybean Meal Futures – Breakout on Short Covering? for CBOT:ZM1! by QuantNomad
Price in Soybean Meal (ZM) has reclaimed both the 100- and 250-day SMAs, signaling a potential medium-term trend shift. Structurally, the forward curve remains backwardated from contracts 3–6, which supports near-term tightness.
However, the key detail:…
However, the key detail:…
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AI can generate Pine Script quickly.
But without supervision, it will:
• hallucinate functions
• misunderstand context
• produce plausible but invalid logic
A simple example proves it.
Full breakdown here 👇
https://quantnomad.com/ai-wrote-my-pine-script-indicator-and-it-lied-to-me/
But without supervision, it will:
• hallucinate functions
• misunderstand context
• produce plausible but invalid logic
A simple example proves it.
Full breakdown here 👇
https://quantnomad.com/ai-wrote-my-pine-script-indicator-and-it-lied-to-me/
Quant Nomad
AI Wrote My Pine Script Indicator… and It Lied to Me - Quant Nomad
I wanted to build a tiny Pine Script indicator. Nothing fancy. No machine learning. No complex strategy logic. Just this: “Show a long signal when there are at least 5 green candles in the last 6 bars.” So I asked ChatGPT to write it. And it immediately produced…
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Most traders analyze front-month volume and open interest.
That’s incomplete.
During roll periods, front-month OI can drop sharply — but total OI across all expirations may actually be rising.
Roll ≠ liquidation.
Front-month weakness ≠ fading participation.
If you want to understand where real capital is moving, you need to track total futures volume & OI across the entire curve.
I explain why this matters (even if you don’t trade futures directly) here:
https://quantribe.io/why-total-futures-volume-and-open-interest-matter-more-than-individual-contracts/
That’s incomplete.
During roll periods, front-month OI can drop sharply — but total OI across all expirations may actually be rising.
Roll ≠ liquidation.
Front-month weakness ≠ fading participation.
If you want to understand where real capital is moving, you need to track total futures volume & OI across the entire curve.
I explain why this matters (even if you don’t trade futures directly) here:
https://quantribe.io/why-total-futures-volume-and-open-interest-matter-more-than-individual-contracts/
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Silver update
After the sharp selloff, Silver rebounded ~15% in just a week.
However, Open Interest declined during the recovery.
This suggests the move is driven mainly by short covering rather than fresh long positioning.
For stronger bullish confirmation, we would need to see price rising together with expanding OI.
For now, this looks like a positioning cleanup phase rather than a confirmed trend continuation.
https://www.tradingview.com/chart/SI1!/HPQeTUNx-Silver-15-Rebound-But-OI-Says-It-s-Short-Covering/?social_toast=true
After the sharp selloff, Silver rebounded ~15% in just a week.
However, Open Interest declined during the recovery.
This suggests the move is driven mainly by short covering rather than fresh long positioning.
For stronger bullish confirmation, we would need to see price rising together with expanding OI.
For now, this looks like a positioning cleanup phase rather than a confirmed trend continuation.
https://www.tradingview.com/chart/SI1!/HPQeTUNx-Silver-15-Rebound-But-OI-Says-It-s-Short-Covering/?social_toast=true
TradingView
Silver +25% Rebound — But OI Says It’s Short Covering for COMEX:SI1! by QuantNomad
After the sharp selloff, Silver bounced nearly 25% in 7 days.
Price action looks strong and stabilized above recent lows.
However, Open Interest has dropped substantially during the recovery.
This suggests the move is likely driven by short covering rather…
Price action looks strong and stabilized above recent lows.
However, Open Interest has dropped substantially during the recovery.
This suggests the move is likely driven by short covering rather…
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Volatility Update
VIX has moved below the 21MA and is now testing the 100MA — a key structural level.
At the same time, VVIX has declined over the past few sessions and flattened in the latest one. This suggests that demand for tail hedging is cooling and the recent volatility spike is fading.
The VIX futures curve remains in contango, which supports the idea of a normalization phase rather than stress building.
As long as:
• VIX holds below 21MA
• VVIX stays contained
• Contango remains stable
This looks like volatility compression, not a new risk wave.
https://www.tradingview.com/chart/VIX/V2GRbABF-VIX-Testing-100MA-While-VVIX-Flattens-Vol-Reset/?social_toast=true
VIX has moved below the 21MA and is now testing the 100MA — a key structural level.
At the same time, VVIX has declined over the past few sessions and flattened in the latest one. This suggests that demand for tail hedging is cooling and the recent volatility spike is fading.
The VIX futures curve remains in contango, which supports the idea of a normalization phase rather than stress building.
As long as:
• VIX holds below 21MA
• VVIX stays contained
• Contango remains stable
This looks like volatility compression, not a new risk wave.
https://www.tradingview.com/chart/VIX/V2GRbABF-VIX-Testing-100MA-While-VVIX-Flattens-Vol-Reset/?social_toast=true
TradingView
VIX Testing 100MA While VVIX Flattens – Vol Reset? for TVC:VIX by QuantNomad
VIX has dropped below the 21MA and is now testing the 100MA — a key structural level.
At the same time, VVIX has declined over the last few sessions and flattened in the latest one.
That combination suggests:
Volatility spike is fading
Demand for tail…
At the same time, VVIX has declined over the last few sessions and flattened in the latest one.
That combination suggests:
Volatility spike is fading
Demand for tail…
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Beyond Price: Understanding Open Interest Dynamics
Most traders focus only on price.
Some look at volume.
Very few understand what open interest actually reveals.
In this new article, I break down:
• How to interpret changes in total open interest
• The 4 key price + OI scenarios
• How to spot short covering vs new positioning
• Why total OI across all maturities matters
• How rising OI increases squeeze risk
• Why falling OI often signals deleveraging
Open interest doesn’t predict direction.
It measures participation, leverage, and conviction.
If you want to understand whether a move is being built — or being unwound — this framework will help.
I also share a free TradingView indicator that aggregates total OI and total volume properly (without roll distortions).
Read here: https://quantribe.io/beyond-price-understanding-open-interest-dynamics/
Most traders focus only on price.
Some look at volume.
Very few understand what open interest actually reveals.
In this new article, I break down:
• How to interpret changes in total open interest
• The 4 key price + OI scenarios
• How to spot short covering vs new positioning
• Why total OI across all maturities matters
• How rising OI increases squeeze risk
• Why falling OI often signals deleveraging
Open interest doesn’t predict direction.
It measures participation, leverage, and conviction.
If you want to understand whether a move is being built — or being unwound — this framework will help.
I also share a free TradingView indicator that aggregates total OI and total volume properly (without roll distortions).
Read here: https://quantribe.io/beyond-price-understanding-open-interest-dynamics/
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Why Does Silver Futures Volume Skip April? 🤔
April Silver contracts exist.
They’re tradable.
They haven’t expired.
Yet most of the volume and open interest sit in May and July.
Why?
Because Silver futures are structured around major delivery months — and April is a serial month.
In the article I explain:
• What serial months actually are
• Why institutions ignore them
• How open interest migrates during roll cycles
• Why liquidity clusters in specific contracts
• What this means for traders
Once you understand contract structure, volume patterns stop looking random — and start looking mechanical.
If you trade metals, this is essential market structure knowledge.
https://quantribe.io/why-silver-futures-volume-skips-april-understanding-serial-months/
April Silver contracts exist.
They’re tradable.
They haven’t expired.
Yet most of the volume and open interest sit in May and July.
Why?
Because Silver futures are structured around major delivery months — and April is a serial month.
In the article I explain:
• What serial months actually are
• Why institutions ignore them
• How open interest migrates during roll cycles
• Why liquidity clusters in specific contracts
• What this means for traders
Once you understand contract structure, volume patterns stop looking random — and start looking mechanical.
If you trade metals, this is essential market structure knowledge.
https://quantribe.io/why-silver-futures-volume-skips-april-understanding-serial-months/
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📊 New Free Tool Released: FSL | Future Roll Monitor
Rolling futures isn’t just a technical step — it’s a structural transition.
When you move from one contract to the next, several things change at the same time:
• The price relationship between contracts
• The shape of the curve (contango / backwardation)
• Liquidity concentration
• Open interest distribution
If you ignore these, you may be unknowingly paying roll cost or stepping into a different structural regime.
I’ve published a free tool on TradingView that helps monitor:
✔ Front vs next contract
✔ Roll cost (absolute & 😵
✔ Curve direction
✔ Volume ratio (has liquidity shifted?)
✔ Open interest ratio
✔ Roll status
The goal is simple:
Stop rolling blindly. Start understanding structure.
You can find it here:
https://www.tradingview.com/script/bxKNkQln-Future-Roll-Monitor/
More structural tools coming soon.
Rolling futures isn’t just a technical step — it’s a structural transition.
When you move from one contract to the next, several things change at the same time:
• The price relationship between contracts
• The shape of the curve (contango / backwardation)
• Liquidity concentration
• Open interest distribution
If you ignore these, you may be unknowingly paying roll cost or stepping into a different structural regime.
I’ve published a free tool on TradingView that helps monitor:
✔ Front vs next contract
✔ Roll cost (absolute & 😵
✔ Curve direction
✔ Volume ratio (has liquidity shifted?)
✔ Open interest ratio
✔ Roll status
The goal is simple:
Stop rolling blindly. Start understanding structure.
You can find it here:
https://www.tradingview.com/script/bxKNkQln-Future-Roll-Monitor/
More structural tools coming soon.
TradingView
Future Roll Monitor — Indicator by QuantNomad
Rolling futures is not just a mechanical action — it is a structural decision.
When you move from one contract to the next, you are exposed to changes in price, liquidity, and term structure. The difference between contracts (the “roll”) can quietly add…
When you move from one contract to the next, you are exposed to changes in price, liquidity, and term structure. The difference between contracts (the “roll”) can quietly add…
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Markets are moving fast lately, so I built a small TradingView dashboard to monitor multiple instruments directly on the chart.
No more jumping between screeners.
Just one table with all the instruments I track.
Script here:
https://www.tradingview.com/script/886DeGbO-Global-Risk-Dashboard/
No more jumping between screeners.
Just one table with all the instruments I track.
Script here:
https://www.tradingview.com/script/886DeGbO-Global-Risk-Dashboard/
TradingView
Global Risk Dashboard — Indicator by QuantNomad
With the current global situation becoming increasingly unstable, markets across energy, precious metals, volatility, and crypto have been moving rapidly. During periods like this, it’s important to monitor multiple asset classes at the same time.
I noticed…
I noticed…
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I published a new article introducing a free suite of TradingView tools for futures analysis.
The goal was to make term structure and positioning analysis easier directly on the chart.
The suite includes:
• Forward Curve Visualization Tool – see contango/backwardation instantly
• Carry Monitor – track carry dynamics across contracts
• Future Roll Monitor – follow liquidity migration during rolls
• Aggregated Volume & Open Interest – view total market participation
Together they help analyze:
• curve structure
• carry regimes
• roll dynamics
• market positioning
If you trade futures (commodities, volatility, macro), these tools can give you a much clearer view of what’s happening behind price.
Full article:
https://quantribe.io/a-free-suite-to-analyze-futures-markets-in-tradingview/
The goal was to make term structure and positioning analysis easier directly on the chart.
The suite includes:
• Forward Curve Visualization Tool – see contango/backwardation instantly
• Carry Monitor – track carry dynamics across contracts
• Future Roll Monitor – follow liquidity migration during rolls
• Aggregated Volume & Open Interest – view total market participation
Together they help analyze:
• curve structure
• carry regimes
• roll dynamics
• market positioning
If you trade futures (commodities, volatility, macro), these tools can give you a much clearer view of what’s happening behind price.
Full article:
https://quantribe.io/a-free-suite-to-analyze-futures-markets-in-tradingview/
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🚀 Automate Your Trading Journal From TradingView Alerts
Still logging trades manually?
In this tutorial I show how to automatically send TradingView strategy alerts to a Google Sheets trading journal using webhooks and Google Apps Script.
The entire setup is:
TradingView alert
→ webhook
→ Google Apps Script
→ Google Sheets trade log
✅ No Zapier
✅ No Make
✅ 100% free
✅ Works with strategies and Pine Script alerts
Each alert automatically records:
• ticker
• entry / exit
• price
• timestamp
• strategy name
Perfect for building your own automatic trading journal and performance tracker.
📘 Full tutorial + code:
https://quantnomad.com/how-to-build-an-automatic-trading-journal-from-tradingview-alerts-free-no-zapier/
📺 YouTube video:
https://youtu.be/xx0zwQWTfSA
Still logging trades manually?
In this tutorial I show how to automatically send TradingView strategy alerts to a Google Sheets trading journal using webhooks and Google Apps Script.
The entire setup is:
TradingView alert
→ webhook
→ Google Apps Script
→ Google Sheets trade log
✅ No Zapier
✅ No Make
✅ 100% free
✅ Works with strategies and Pine Script alerts
Each alert automatically records:
• ticker
• entry / exit
• price
• timestamp
• strategy name
Perfect for building your own automatic trading journal and performance tracker.
📘 Full tutorial + code:
https://quantnomad.com/how-to-build-an-automatic-trading-journal-from-tradingview-alerts-free-no-zapier/
📺 YouTube video:
https://youtu.be/xx0zwQWTfSA
Quant Nomad
How to Build an Automatic Trading Journal From TradingView Alerts (Free, No Zapier) - Quant Nomad
Tracking trades is essential for improving any trading strategy. But manually logging every trade is time-consuming and error-prone. In this guide, you’ll learn how to automatically log trades from TradingView alerts into Google Sheets using Google Apps Script.…
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Something unusual is happening in VIX 👀
The curve is almost completely flat — just ~$0.55 from min to max.
This doesn’t happen often…
(~2% of the time since 2004)
And in the past, it often came before big volatility moves.
Full breakdown here:
https://quantribe.io/vix-curve-at-extreme-compression-a-rare-setup/
The curve is almost completely flat — just ~$0.55 from min to max.
This doesn’t happen often…
(~2% of the time since 2004)
And in the past, it often came before big volatility moves.
Full breakdown here:
https://quantribe.io/vix-curve-at-extreme-compression-a-rare-setup/
QuanTribe
VIX Curve at Extreme Compression: A Rare Setup - QuanTribe
The VIX futures curve is currently exhibiting an unusually flat structure, with curve compression around ~0.6-0.7. In practical terms, this means the
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Perpetual Futures Are Not What You Think
Perpetual futures look simple: no expiry, easy leverage, trade like spot.
But in reality, they behave very differently.
They’re not just about price — they’re driven by:
• funding rates
• positioning
• liquidations
👉 This means you can be right on direction and still lose money.
In many cases, moves are not driven by fundamentals, but by who is overleveraged and forced to unwind.
That’s why we see:
• sharp squeezes
• sudden volatility spikes
• aggressive reversals
I wrote a full breakdown of how this market actually works and what most traders miss.
👉 Read here: https://quantribe.io/perpetual-futures-are-not-what-you-think/
Perpetual futures look simple: no expiry, easy leverage, trade like spot.
But in reality, they behave very differently.
They’re not just about price — they’re driven by:
• funding rates
• positioning
• liquidations
👉 This means you can be right on direction and still lose money.
In many cases, moves are not driven by fundamentals, but by who is overleveraged and forced to unwind.
That’s why we see:
• sharp squeezes
• sudden volatility spikes
• aggressive reversals
I wrote a full breakdown of how this market actually works and what most traders miss.
👉 Read here: https://quantribe.io/perpetual-futures-are-not-what-you-think/
QuanTribe
Perpetual Futures Are Not What You Think - QuanTribe
Perpetual futures have become a dominant instrument in modern trading, particularly in cryptocurrency markets. Their rise has been driven by accessibility,
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🛢 Brent: Historic Backwardation
The Brent curve just hit an extreme:
• F1–F2 spread ≈ -$9.6
• Roll yield ≈ -110% (record low)
This is not normal market structure — it’s front-end stress.
⚡️ What’s driving it
The move is tied to geopolitical risk:
• Iran escalation
• Potential disruption through the Strait of Hormuz
→ Immediate supply uncertainty
The issue is not future oil — it’s access to barrels right now
📊 Market implications
• Long futures = massive negative carry
• Storage = uneconomical
• Physical crude = bid aggressively
The curve is actively pulling supply into the spot market.
⚠️ What to watch
These conditions don’t last forever.
Once supply pressure eases, the curve can reprice sharply — often violently.
👉 This is not just backwardation.
It’s a stress signal from the oil market.
The Brent curve just hit an extreme:
• F1–F2 spread ≈ -$9.6
• Roll yield ≈ -110% (record low)
This is not normal market structure — it’s front-end stress.
⚡️ What’s driving it
The move is tied to geopolitical risk:
• Iran escalation
• Potential disruption through the Strait of Hormuz
→ Immediate supply uncertainty
The issue is not future oil — it’s access to barrels right now
📊 Market implications
• Long futures = massive negative carry
• Storage = uneconomical
• Physical crude = bid aggressively
The curve is actively pulling supply into the spot market.
⚠️ What to watch
These conditions don’t last forever.
Once supply pressure eases, the curve can reprice sharply — often violently.
👉 This is not just backwardation.
It’s a stress signal from the oil market.
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🚀 TradingView just launched an AI Copilot — and I tested it on real charts
It can analyze trends, explain indicators, and answer your questions directly on the chart… but is it actually useful? 🤔
I ran it through real scenarios to see where it helps — and where it falls short.
🎥 Watch the full review: [your link]
Let me know what you think — game changer or just hype? 👇
https://youtu.be/XvhXHsTHmlA
It can analyze trends, explain indicators, and answer your questions directly on the chart… but is it actually useful? 🤔
I ran it through real scenarios to see where it helps — and where it falls short.
🎥 Watch the full review: [your link]
Let me know what you think — game changer or just hype? 👇
https://youtu.be/XvhXHsTHmlA
YouTube
AI Is Coming for Traders — TradingView Copilot Review
TradingView just introduced its AI Chart Copilot — an assistant that can analyze charts, explain indicators, and answer your trading questions in real time.
In this video, I test the new AI Copilot (currently in beta), show how it works on live charts, and…
In this video, I test the new AI Copilot (currently in beta), show how it works on live charts, and…
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Most divergence is done incorrectly.
Traders often compare:
• price → using highs/lows
• indicators → calculated on closes
That’s not the same data.
On large candles, this creates signals that look like divergence, but in reality momentum hasn’t changed much.
I built a simple tool to fix this:
Source-Aligned Oscillators (TradingView)
You can:
• use different price sources (close, hl2, hlc3, etc.)
• align oscillator calculations with price
• or use High/Low split to see both sides
Helps you see divergence more clearly and consistently.
https://www.tradingview.com/script/Yac6jDI6-Source-Aligned-Oscillators-for-Divergences/
Traders often compare:
• price → using highs/lows
• indicators → calculated on closes
That’s not the same data.
On large candles, this creates signals that look like divergence, but in reality momentum hasn’t changed much.
I built a simple tool to fix this:
Source-Aligned Oscillators (TradingView)
You can:
• use different price sources (close, hl2, hlc3, etc.)
• align oscillator calculations with price
• or use High/Low split to see both sides
Helps you see divergence more clearly and consistently.
https://www.tradingview.com/script/Yac6jDI6-Source-Aligned-Oscillators-for-Divergences/
TradingView
Source-Aligned Oscillators (for Divergences) — Indicator by QuantNomad
A simple tool to visualize oscillators on different price sources — and fix one of the most common divergence mistakes.
Many traders look for divergence by comparing:
price → using highs and lows
oscillators (like RSI) → calculated on close
This creates…
Many traders look for divergence by comparing:
price → using highs and lows
oscillators (like RSI) → calculated on close
This creates…
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QuantNomad pinned «Most divergence is done incorrectly. Traders often compare: • price → using highs/lows • indicators → calculated on closes That’s not the same data. On large candles, this creates signals that look like divergence, but in reality momentum hasn’t changed…»