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LinkedIn Content Strategy & Writing Style

37 Viral ScoreView on LinkedIn

1 person tracking this creator on ViralBrain

Warm Analysis

This creator positions themselves as a specialist in European electricity-market design, translating complex balancing mechanisms into practical insight for traders, analysts, and policymakers. Their content centers on PICASSO, aFRR merit orders, CBMP, reBAP, imbalance pricing, and German market developments, using dense visual analysis, historical comparisons, and unusually granular datasets - including millions of four-second prices. What distinguishes them is the ability to turn technical anomalies into memorable explanations, such as the “NRV Pokémons,” without losing analytical rigor. Their work sits at a compelling intersection of quantitative market analysis, market-design critique, and trader behavior, showing how formulas and incentives shape real system outcomes.

Performance Overview

Followers

22.3K

Connections

4.4K

Avg. Engagement

79

Engagement Rate

Posts/Week

Viral Score

37

Posts Analyzed

1

Top Posts by Engagement

Evolution of the number of hours with negative prices in Germany, France, Spain, and Poland. So far, Germany is having less negative prices in 2026 than last year, while France and especially Spain…

LinkedIn post image: Evolution of the number of hours with negative prices in Germany, France, Spain, and Poland.
301131521 viral
Energy Markets3 months ago
View on LinkedIn

Evolution of the difference between the Day-ahead price and the imbalance price (reBAP) in Germany. The distribution is clearly shifting towards the center. Several reasons (not exhaustive): - PIC…

LinkedIn post image: Evolution of the difference between the Day-ahead price and the imbalance price (reBAP) in Germany.
24661016 viral
Energy Marketsabout 2 months ago
View on LinkedIn

Evolution of the difference between the Imbalance Price (IP) and the day-ahead Price in Germany (period 1 January to 13 July, for 2024 to 2026). As we can see the difference is getting smaller due to…

LinkedIn post image: Evolution of the difference between the Imbalance Price (IP) and the day-ahead Price in Germany (period 1 January to 13
1718411 viral
Electricity Markets3 months ago
View on LinkedIn

Cumulative number of hours with day-ahead prices below 5 €/MWh in Germany, France, Spain, and Poland. Up to today, in 2026, Spain has the most hours with cheap prices (<5 €/MWh), and roughly tracks…

LinkedIn post image: Cumulative number of hours with day-ahead prices below 5 €/MWh in Germany, France, Spain, and Poland.
941158 viral
Energy Markets2 months ago
View on LinkedIn

Julien Jomaux, who tracks the energy sector and European electricity markets, points out that the gap between the Imbalance Price and the day-ahead price in Germany (Jan to Jul, 2024-2026) is narrowin…

LinkedIn post image: Julien Jomaux, who tracks the energy sector and European electricity markets, points out that the gap between the Imbala
94968 viral
Energy Markets2 months ago
View on LinkedIn

Hourly average injection from batteries in Belgium per month for this year. Data from Energy-Charts (most probably not incoporating all batteries). We can see the clear double peak patterns, direc…

LinkedIn post image: Hourly average injection from batteries in Belgium per month for this year.
115627 viral
Energy Storage2 months ago
View on LinkedIn

Posting Patterns & Frequency

20.0 posts/week

Posts / Week

1

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: UTC

Best Performing Days

FridayWednesday

Best Performing Times To Post

08:00-09:00 UTC21:00-22:00 UTC

Topics & Content Focus

Primary Topics

European electricity balancing markets and cross-border market integrationaFRR and PICASSO market mechanics, pricing, and merit-order behaviorImbalance-price formation through the interaction of balancing energy and intraday markets

Secondary Themes

Data-driven analysis of German and French power marketsMarket design inefficiencies and unrealized revenue opportunitiesEnergy-market data visualization and recurring analytical research

Industry Focus

European electricity trading and power-market operationsBalancing-responsible-party economics and grid flexibilityEnergy-market regulation, market coupling, and ancillary services

Content Categories

Quantitative market analysisTechnical educational explainersData visualizationResearch-series updatesIndustry commentary

Performance Insights

78.8%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Unexpected relationships between aFRR energy prices and day-ahead pricesHow market modules determine German imbalance pricesQuantitative comparisons of balancing-market outcomes

Virality Signals

Data visualizations translate complex market mechanics into shareable insightsCounterintuitive findings create curiosity and discussionPosts connect short-form observations to deeper linked analysesTechnical specificity attracts a concentrated professional audience rather than broad casual reach

Structure & Quality

140

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

92/10

Uniqueness Score

Common Hooks

A specific market question framed around an unclear mechanismA surprising quantitative finding that challenges intuitive market interpretationA narrowly defined comparison between countries, markets, or pricing mechanismsA headline-style announcement introducing a deeper technical analysis

Common Endings

Links to a longer post or detailed explanationPromises of follow-up analysisBrief statements highlighting the practical implication of the dataAcknowledgment of the reader's attention

Value Delivery Methods

Explains specialized electricity-market mechanisms with concrete market dataConnects visual evidence to operational and pricing consequencesIdentifies inefficiencies and unrealized value in current market designBuilds cumulative understanding through linked and sequential posts

Formatting Style

Dense explanatory paragraphsTechnical terminology supported by plain-language interpretationFrequent use of parenthetical clarificationExplicit interpretation of charts and visual dataMinimal decorative formatting

Audience & Tone

YES

Question Usage

0%

Response Rate

Detected Tone

Clinical and evidence-ledTechnically authoritativeResearch-orientedAnalytical but accessibleQuietly provocative through counterintuitive findingssemi-formalfirst-person

Interaction Style

Primarily insight-driven rather than personality-drivenEncourages discussion through market anomalies and unresolved implicationsUses comments to validate interest in technical market questionsBuilds return readership through serialized research

Community Building Signals

Creates continuity between current posts and earlier researchSignals forthcoming analyses to encourage repeat engagementDevelops a specialist knowledge community around European balancing marketsPositions the audience as analytical peers rather than passive consumers

Writing Style Patterns

Content Strategy

Hook: A specific market question framed around an unclear mechanisTone: semi-formalCTA: Direct readers to a related long-form analysis

Writing style breakdown

<start of post>

⚡️ Meet the “NRV Pokémons” - a strange incentive hidden in former Germany’s imbalance-price formula ⚖️

Sometimes, you can only see a market-design problem when you zoom in far enough.

I recently looked at German reBAP (=imbalance price) vs. NRV around the zero-imbalance point, using several years of quarter-hourly data.

And something quite remarkable appeared.

Before June 2022, when the NRV was only slightly negative, the imbalance-price formula could end up with a very small denominator.

The result?

👉 The closer the system got to balance, the more extreme the negative imbalance price could become – especially when the NRV was crossing 0 during a MTU – i.e. when activations in both directions were present. (This was at some point also partly mitigated by the AEP2 & later on the AEP20 mechanism for low NRV-value – the so-called industry compromise, but obviously not fully).

In other words: a system almost balanced could create extreme negative prices.

That is what some traders started calling them the “NRV Pokémons”. 😄

🧩 The good news: this has been fixed!

Following the implementation of the different Module 1, 2 and 3 changes after the Imbalance settlement harmonisation methodology (ISHM), the pricing logic has fundamentally changed.

The imbalance price now looks only at the activations in the same direction as the NRV, rather than creating this cross-direction denominator effect.

The old “Pokémon” behaviour has therefore largely disappeared.

And the data shows a very clear structural break around June 2022.

💡 The lesson for future market design

This is probably the most important takeaway

Traders follow the spread.

You can tell traders to behave in a certain way through regulation, contracts or market conventions.

But if the economics say something different, traders will follow the economics.

That's why, when designing balancing markets, you really don't want to create arbitrage opportunities by design.

If the formula rewards a behaviour that goes against the physical needs of the system, market participants will rationally exploit it.

And that can turn a perfectly rational trading strategy into a collectively inefficient outcome.

🙏 Thanks to Julien Jomaux for the inspiration and to Pierre-Benjamin F. for coming up with the excellent name “Pokémons” back in the days.

</end of post>

1. OVERALL STYLE & VOICE
2. STRUCTURAL FLOW & LOGICAL PROGRESSION
3. SPACING, LINE BREAKS & VISUAL FLOW

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