Terra Case Reignites Controversy: How Inter-Exchange Market Interactions Triggered the "10 AM Dump" Theory

In the cryptocurrency market, a recurring phenomenon appears: whenever the New York market opens, Bitcoin often experiences significant volatility around 10 a.m. This “10 o’clock sell-off” has recently become a focal point due to renewed scrutiny of the Terra collapse case. But what it truly reflects is the deeper meaning of interactions between traditional financial exchanges and crypto markets—namely, the rule clashes and information flow issues among different exchanges and market participants.

Case Resurgence: Why Old Allegations Resurface in 2026

In February, the legal proceedings related to Terra’s collapse resurfaced. This time, the public focus shifted from “algorithmic stablecoin failure” to a more dramatic narrative: did someone have insider information and pre-positioned for profit during the critical moments before the crash?

This new narrative has three main dissemination advantages. First, it simplifies complex systemic risks into a story of “someone ahead of the curve.” Second, it clearly points to specific institutions rather than abstract mechanisms. Third, it triggers victims’ attribution needs and projection impulses—people want someone to blame.

Against this backdrop, the name Jane Street was almost forcibly thrust into the spotlight.

Why Jane Street Became the Focus: Identity, Channels, and Perspective Bias

As one of Wall Street’s most renowned quantitative trading firms, Jane Street entered the crypto space by acting as an ETF Authorized Participant (AP). This role carries special implications.

As a quantitative market maker, Jane Street’s standard operation involves earning tiny profits from spreads and trade executions, hedging across markets to split risks, and surviving market cycles through dynamic risk management and position adjustments. In traditional finance, this is standard practice. But in the high-leverage, low-liquidity crypto markets, the same risk management behaviors are often misinterpreted as “precise hunting.”

The ETF/AP mechanism amplifies this misinterpretation. When spot creation and redemption transactions occur, they are not on-chain but off-chain. The transaction paths, hedging directions, and position adjustments are protected by confidentiality agreements and internal risk controls. This creates a natural “information black box.”

From the market participants’ perspective:

• Retail investors see a clear sell-off pattern but cannot see the underlying hedging paths.
• Institutions see themselves managing risks and believe the market should understand this as routine.
• Regulators see some positions disclosed via 13F but cannot see derivatives positions or off-chain swaps.

This information asymmetry is at the core of the “inter-exchange meaning” problem—different participants, operating under different transparency standards, interpret behaviors across markets as conflicting or suspicious.

The Three Levels of the “10 O’clock Sell-off” Phenomenon

This phenomenon can be broken down into three analytical layers:

Surface Level: The Time-Clustered Volatility Exists

Traders have a strong intuitive sense of “volatility around 10 o’clock.” While intuition ≠ statistical proof, this observation is not baseless. The US stock market opening indeed triggers risk rebalancing across assets, reshaping volatility curves, ETF fund flows, and futures-spot spreads—these are observable financial phenomena.

Dissemination Level: Social Media Amplification and Narrative Competition

However, jumping from “this phenomenon exists” to “Jane Street is manipulating” is a narrative logic driven by social media. The social media ecosystem favors: a single villain, clear motivation, and a repeatable story frame (“selling every day at 10”). These elements override academic rigor like backtesting, confidence intervals, and hypothesis testing.

Aligning “old accusations” with “new phenomena” creates an illusion of “evidence chain”—suggesting that insider trading from the past continues daily at 10.

Mechanism Level: Alternative Explanations

Even if we accept that there is abnormal volatility at 10, multiple simpler mechanisms could explain it better than “manipulation”:

1. Market Open Risk Reassessment: Cross-asset risk rebalancing, implied volatility adjustments, re-pricing of futures-spot basis—all triggered synchronously at certain times. Bitcoin, as part of a “risk asset basket,” naturally exhibits correlated movements during these windows.

2. Leverage Fragility: When derivatives are highly leveraged and order books are shallow, moderate sell-offs can trigger cascade liquidations. This explains why it sometimes looks like “someone pressed a button,” without assuming deliberate action.

3. Dynamic Hedging Timing: A common misconception is that large holdings imply bullishness. In reality, many large positions are hedges against derivatives, often requiring rebalancing at specific times (when delta changes). These hedging activities cause price swings as a normal risk management process, not price manipulation.

The Real Issue: The Exchange Inter-Meaning Gap

The core contradiction lies in institutional information asymmetry.

On-Chain vs. Off-Chain Transparency Paradox

Crypto culture emphasizes “on-chain transparency.” But ETF operations mostly happen off-chain: creation/redemption negotiations are private, hedging paths are undisclosed, order splitting is confidential. This directly relates to the fundamental “inter-exchange meaning” problem—different exchanges and markets have varying rules and transparency standards, making cross-market behaviors difficult to observe fully.

Limitations of 13F Disclosures

Institutions disclose their US stock holdings quarterly via 13F. But 13F only shows:

• The long positions in some US stocks
• Not: options, derivatives hedges, OTC swaps, cross-platform order routing
• Not: specific timing and configuration of AP creation/redemption activities

It’s like seeing only the foreground of a scene: you see what the actor is doing on stage but not how they balance, adjust, or hedge behind the scenes. Yet, public discourse often treats this partial view as proof of full conspiracy.

Institutional Dilemmas: Why Consensus Is Difficult

As long as these conditions coexist, the “market manipulation” theory cannot be fully disproved:

1. Delayed Disclosures: Institutional activities are often reported with lag.
2. Incomplete Information: Key operations happen off-chain, outside blockchain audits.
3. Loose Regulations: AP operations are governed by vague or flexible rules.

In this “triple opacity” environment, any unusual price movement can be interpreted as manipulation, and any defense as suspicious due to lack of information. This exemplifies the “inter-exchange meaning” problem—different markets, participants, and transparency standards lead to mutual suspicion and misinterpretation.

Moving Beyond Accusations: Structural Analysis Instead of Personal Speculation

A more productive approach is to avoid guessing “who is selling” and instead observe all structural variables simultaneously.

Measurable and verifiable dimensions include:

• Timing Patterns: When do volatility spikes occur? How often? Are there recurring cycles?
• Market Microstructure: Leverage levels, liquidation distributions, liquidity depth changes.
• Fund Flows: ETF creation/redemption volumes, pace, and their correlation with spot/futures markets.
• Position Concentration: Large holder distributions, their changes, and correlations with price movements.

There’s no need to immediately confirm or deny “manipulation.” Instead, by synchronously monitoring these variables, we can gradually distinguish whether:

• The market is adjusting normally to demand shifts
• There are short-term reactions post-shock
• Structural fragilities are causing cascade effects

Reality Check: ETFs Are Reshaping the Cryptocurrency Market’s Temporal Structure

From a higher perspective, the “10 o’clock sell-off” controversy reflects a deeper transformation.

Historically, Bitcoin behaved like a native 24/7 asset. But as ETF, AP hedging, and traditional financial risk management practices enter the market, Bitcoin increasingly moves on a “traditional financial timetable”—reacting to US market opens, Federal Reserve announcements, employment reports.

This is not inherently good or bad; it’s a market structural change. The consequences include:

• Greater diversity of participants (retail, quant, institutional, hedge funds)
• Inconsistent transparency standards (on-chain vs. off-chain)
• New risk structures (structural leverage vs. traditional leverage)

In this overlapping space, old narratives of “I don’t understand, so it’s a conspiracy” will recur until systemic reforms are made.

The Path Forward: Structural Reforms Over Speculation

The real solution isn’t “finding the bad guys” but improving the structure:

1. Enhance On-Chain Traceability: Introduce more on-chain records for ETF creation/redemption processes, enabling better oversight—even if not fully public, at least allowing regulators to audit comprehensively.
2. Standardize Disclosure Timelines: Establish unified standards for timely information release to reduce lag.
3. Clarify AP Incentives and Constraints: Replace vague rules with transparent, enforceable regulations.
4. Foster Cross-Exchange Coordination: Develop stronger inter-exchange protocols to reduce information silos.

The paradox remains: as long as “explainability” is lacking, the demand for “theories” persists. It’s not because market participants are “more naive,” but because the institutional gaps leave room for suspicion. Filling these gaps through systemic improvements is more valuable than endlessly hunting for “manipulators.”