Core Content Month 11

Bond Mega-Trades: How ICT Identifies Major Moves in the Treasury Market

Sourav Pan · 23 min read ·
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Bond Mega-Trades are large, higher-timeframe trading opportunities that develop in the US Treasury market when seasonal tendencies, institutional order flow, higher-timeframe PD Arrays and interest-rate SMT divergence align.

This concept was taught by Michael J. Huddleston, the founder of ICT (Inner Circle Trader), in the 2017 ICT Private Mentorship Core Content Month 11. His approach focuses primarily on identifying a potential seasonal low in the bond market during May or June and then confirming institutional accumulation by comparing the 5-year Treasury note, 10-year Treasury note and 30-year Treasury bond.

Unlike short-term trades, Bond Mega-Trades are designed to capture sustained price movements that may continue for several weeks or months. The trader is not trying to predict every small fluctuation. The objective is to identify the period when large institutional traders begin accumulating bonds and then participate in the resulting higher-timeframe expansion.

What Are Bond Mega-Trades?

Bond Mega-Trades are large directional moves in Treasury futures that offer considerably more potential than ordinary short-term setups.

They are generally based on:

  • A recurring seasonal tendency
  • Higher-timeframe market structure
  • Institutional order flow
  • Discount PD Arrays
  • Interest-rate SMT divergence
  • A clearly defined long-term price objective

A Bond Mega-Trade may begin as a seasonal reversal and continue through several calendar months. In many historical examples, the move begins near a May or June low and rallies into the late summer or autumn period.

Michael J. Huddleston describes the importance of this opportunity:

“The primary one I want you to focus on for Mega trades is the May–June time period for bonds.”

The concept does not suggest that bonds must rally every year from May or June. It provides a recurring period in which traders should begin searching for evidence of institutional buying.

Why the Bond Market Is Suitable for Mega-Trades

The Treasury bond market has historically demonstrated strong trending characteristics.

Although bonds can consolidate, they often remain in a directional environment for extended periods. This makes them suitable for traders who want to capture higher-timeframe moves rather than repeatedly trading small intraday fluctuations.

Bond markets are also closely connected to:

  • Interest rates
  • Monetary policy expectations
  • Inflation expectations
  • Economic growth
  • Risk sentiment
  • Institutional portfolio allocation

When institutions begin building large positions in Treasury securities, the resulting order flow can create sustained directional movement.

Huddleston explains:

“The Treasury bond market is routinely a trending market.”

This trending nature does not eliminate risk. It simply means that when the right seasonal and institutional conditions are present, bonds can provide large and relatively persistent price movements.

The May and June Seasonal Tendency

The foundation of the Bond Mega-Trades model is the recurring tendency for the bond market to form a meaningful low during May or June.

Historically, bonds may demonstrate weakness from the beginning of the calendar year before reaching a seasonal low in late spring or early summer.

The model therefore focuses on two possible approaches.

A trader may anticipate weakness from the beginning of the year into the May–June period.

Alternatively, the trader may avoid the initial decline and wait patiently for a potential May or June low to form before looking for long positions.

The second approach is generally more suitable for traders searching specifically for the bullish Bond Mega-Trade.

Huddleston states:

“More times than not, there’s usually a seasonal low forming between May and June.”

However, this is a probability, not a guarantee.

Some years produce powerful rallies from the seasonal low. Other years produce only moderate gains, consolidation or continued weakness.

The seasonal tendency tells the trader when to pay attention. It does not provide a complete trade signal by itself.

Seasonal Tendencies Are Not Guarantees

One of the most important principles in ICT seasonal analysis is that historical tendencies should not be treated as certainty.

A trader cannot simply buy the 30-year Treasury bond in May every year and expect a profitable outcome.

Seasonality must be confirmed through current price action.

The bond market should ideally show:

  • A higher-timeframe discount condition
  • Bullish institutional order flow
  • A reaction from a meaningful PD Array
  • Interest-rate SMT divergence
  • A clear rejection of lower prices
  • Evidence of institutional accumulation

Without these confirmations, the seasonal tendency remains only a possibility.

Huddleston warns that traders who force the seasonal idea are likely to lose money.

The correct approach is to anticipate the possibility, scan the market daily and wait for the technical evidence to appear.

The Three Treasury Markets Used in the Analysis

ICT Bond Mega-Trades require comparison among three important Treasury futures markets:

  • 5-year Treasury note
  • 10-year Treasury note
  • 30-year Treasury bond

These three instruments represent different parts of the interest-rate curve.

The 5-year note reflects the shorter-term portion.

The 10-year note represents the intermediate-term portion.

The 30-year bond reflects the longer-term portion.

Under normal conditions, these markets should move in close correlation.

They do not have to make identical price movements, but their highs and lows should generally remain aligned.

When one Treasury market fails to confirm the movement of the others, it creates an important form of divergence known as interest-rate SMT divergence.

What Is Interest-Rate SMT Divergence?

Interest-rate SMT divergence occurs when the 5-year, 10-year and 30-year Treasury markets fail to make corresponding highs or lows.

For example:

  • The 5-year note makes a lower low.
  • The 10-year note forms a higher low.
  • The 30-year bond forms an equal low.

This lack of confirmation suggests that the markets are no longer moving together.

According to ICT, this may reveal institutional accumulation.

Large institutions frequently spread their bond-market exposure across different maturities. Because of the size of their orders, their activity can temporarily disturb the normal correlation between the 5-year, 10-year and 30-year markets.

Huddleston explains:

“If they diverge, and it just takes one, that is your early warning sign.”

The divergence does not automatically mean the bond market will rally. It is a confirmation tool that becomes especially important when it appears near a seasonal low and inside a higher-timeframe discount area.

How Smart Money Creates the Divergence

Institutional traders cannot always enter their full position at one price.

Their order size may be too large for the available liquidity. They may need to spread their buying across several Treasury instruments and over a period of time.

As the institutions accumulate:

  • One Treasury maturity may stop making lower lows.
  • Another may continue slightly lower.
  • A third may form an equal low.
  • Correlation among the markets begins to weaken.
  • Price may reject a discount PD Array.
  • A bullish repricing can then begin.

This creates what ICT describes as the footprint of smart money.

The trader is not observing the institutions directly. The trader is studying the distortion their activity creates in normally correlated markets.

Huddleston uses a memorable comparison:

“We’re using the short-term, intermediate-term and long-term yield in comparison to see when that smart money elephant presses its foot down in the mud.”

That footprint is the SMT divergence.

The Role of Higher-Timeframe Institutional Order Flow

Seasonality and SMT divergence should be supported by higher-timeframe institutional order flow.

Before looking for a bullish Bond Mega-Trade, the trader should determine whether the larger market structure supports higher prices.

Bullish institutional order flow may be visible through:

  • Higher-timeframe bullish order blocks
  • Fair value gaps below price
  • Rejection from discount arrays
  • Failure to sustain lower prices
  • Displacement above short-term highs
  • Higher highs and higher lows
  • Bullish changes in the state of delivery

The best conditions occur when price has declined into a discount area before the May or June seasonal low forms.

The market may also run below previous lows to trigger sell stops before reversing higher.

This creates liquidity for institutional buying.

A seasonal low without higher-timeframe support is weaker than a seasonal low that forms directly inside a bullish PD Array.

Using Premium and Discount in Bond Analysis

Premium and discount provide the valuation framework for Bond Mega-Trades.

When traders expect a bullish seasonal reversal, they should ideally find the bond market trading in discount.

Discount may be measured within a significant weekly or daily dealing range.

Potential discount PD Arrays include:

  • Bullish order blocks
  • Bullish fair value gaps
  • Previous lows
  • Breaker blocks
  • Mitigation blocks
  • Discount portions of higher-timeframe ranges

If the bond market trades into one of these areas during May or June and produces interest-rate SMT divergence, the conditions for a bullish Mega-Trade become stronger.

The trader is not buying merely because price is lower.

The trader is buying because price has entered a higher-timeframe area where institutional accumulation is likely, while related Treasury markets are displaying divergence.

The Bond Mega-Trade Process

The ICT Bond Mega-Trade model can be simplified into a clear sequence.

1. Anticipate the May–June Seasonal Low

At the beginning of each year, the trader should be aware that bonds may experience weakness into late spring or early summer.

The main period of interest is May and June.

The trader does not enter immediately. This is only the period in which the search begins.

2. Determine Higher-Timeframe Direction

Review the weekly and daily charts.

Look for evidence that the bond market is approaching a discount area or a bullish higher-timeframe PD Array.

Determine whether lower prices are reaching an important institutional level.

3. Compare the Treasury Markets

Review the 5-year, 10-year and 30-year markets together.

Compare corresponding highs and lows.

Look for one market to fail to confirm the lower low made by the others.

4. Identify Interest-Rate SMT Divergence

The divergence may appear in several forms.

For example:

  • 5-year makes a lower low while 10-year and 30-year form higher lows.
  • 10-year makes a lower low while 5-year holds an equal low.
  • 30-year makes a lower low while 5-year and 10-year refuse to follow.
  • Two markets make lower lows while one forms a higher low.

Only one market needs to diverge to provide the warning.

5. Confirm Institutional Order Flow

After the divergence appears, look for bullish price delivery.

Confirmation may include:

  • Strong bullish displacement
  • A market structure shift
  • Rejection from an order block
  • A fair value gap forming above the low
  • Price moving through a short-term high
  • A retracement into a bullish PD Array

6. Enter Using an ICT Entry Model

Once institutional order flow turns bullish, traders can refine their entry through established ICT concepts.

Possible entry tools include:

  • Optimal Trade Entry
  • Bullish fair value gaps
  • Bullish order blocks
  • Breaker blocks
  • Liquidity sweeps
  • Market structure shifts
  • Discount entries

The entry should align with the higher-timeframe Bond Mega-Trade narrative.

7. Target the Fall Period

The Bond Mega-Trade may continue from the May or June low toward September, October or November.

The market does not have to rally continuously until autumn.

Some years create an earlier high in July or August.

The September–October period is treated as a seasonal area in which intermediate-term highs or shorter-term trading opportunities may develop.

May–June Low and Fall High Framework

The broad seasonal model can be described as:

  • Weakness early in the year
  • Potential low during May or June
  • Bullish expansion during the following months
  • Potential intermediate-term high during September or October
  • Shorter-term trading conditions later in the year

This framework helps traders establish a clear expectation.

It prevents random trading throughout the year.

Instead of trying to trade every movement, the trader waits for one of the most historically important periods in the bond market.

Huddleston explains:

“You do not want to overtrade the bonds.”

Patience is a major part of the model.

The Bond Mega-Trade may represent one primary opportunity for the year. The trader’s job is to wait for the seasonal window and then determine whether the required technical confirmation is present.

How Bond Mega-Trades Support Different Trading Styles

Although the model is designed to identify a large higher-timeframe move, it can support several trading styles.

Once the primary direction is established, traders may use it for:

  • Position trading
  • Swing trading
  • Short-term trading
  • Day trading
  • One Shot One Kill setups
  • Scalping in the higher-timeframe direction

For example, if the May–June analysis confirms a bullish bond-market Mega-Trade, a day trader can focus mainly on long setups.

The trader may use intraday liquidity sweeps and fair value gaps to enter in the same direction as the larger seasonal move.

This creates alignment between higher-timeframe and lower-timeframe analysis.

The Bond Mega-Trade becomes the directional foundation for all other trades.

Historical Example: 2008 Bond Mega-Trade

In 2008, the bond market formed a seasonal low during the expected May–June period.

The 5-year, 10-year and 30-year markets displayed interest-rate SMT divergence near the low.

The 5-year note made a lower low.

The 10-year note formed a higher low.

The 30-year bond formed approximately equal lows.

This divergence suggested that institutional accumulation was taking place.

After the low formed, the bond market rallied strongly into September.

The move in the 30-year Treasury bond was approximately $12,000 per futures contract based on the example discussed by ICT.

This illustrates the type of price expansion that qualifies as a Bond Mega-Trade.

It was not a small intraday fluctuation. It was a sustained move developing over several months.

Late-Year Opportunity in 2008

The 2008 market also produced another important opportunity during the September–November period.

The 5-year note formed an equal or slightly higher low.

The 10-year note made a lower low.

The 30-year bond also made a lower low.

This created another interest-rate SMT divergence.

The 30-year bond was also trading inside a higher-timeframe bullish order block and had moved below short-term lows to collect liquidity.

The subsequent rally produced an exceptionally large movement.

This example demonstrates how seasonal tendencies, SMT divergence, discount valuation and liquidity can work together.

However, unusually large historical moves should not create unrealistic expectations.

Not every year will produce the same magnitude.

Historical Example: 2009

In 2009, the market again formed a Bond Mega-Trade setup near the May–June seasonal period.

The 5-year note formed a higher low while the 10-year note and 30-year bond made lower lows.

This divergence suggested that the correlated Treasury markets were no longer confirming each other.

The bond market then rallied from the seasonal low.

The move produced approximately $8,500 per contract in the September delivery contract, with additional movement available through the December contract.

This is an example of how traders may roll from one futures contract into the next when the higher-timeframe move continues beyond the expiration of the original contract.

Historical Example: 2010

The 2010 bond market was already displaying bullish price delivery as the May–June period approached.

On the lower timeframe:

  • The 5-year note formed a slightly higher low.
  • The 10-year note made a lower low.
  • The 30-year bond also made a lower low.

This produced clear interest-rate SMT divergence.

The 30-year bond traded into a fair value gap within a discount area.

After the divergence and reaction from discount, price rallied strongly.

The movement was approximately $14,000 per contract before the September period.

This example shows why the seasonal tendency should be combined with institutional order flow and a higher-timeframe PD Array.

Historical Example: 2011

The 2011 example demonstrated that SMT divergence does not always appear through a simple comparison of two nearby lows.

Sometimes the trader must compare a sequence of multiple swing points.

The 5-year and 10-year markets continued producing lower lows.

The 30-year bond eventually formed a higher low instead of following the others lower.

This created the divergence.

The signal appeared slightly later than the traditional May–June window, forming in early July.

The subsequent bond rally produced approximately $19,000 per contract in the example.

This teaches an important lesson.

Seasonal timing is not always exact.

A seasonal low may form slightly earlier or later than expected. Traders should remain flexible and continue scanning the markets for confirmation rather than abandoning the idea immediately after June ends.

Historical Example: 2012

The 2012 bond market produced a May–June divergence, but the resulting move was smaller.

The 5-year note made a lower low while the 10-year note and 30-year bond formed higher lows.

The bond market rallied by approximately $5,000 per contract.

However, the move failed to continue strongly through the higher-timeframe premium area.

Price moved above an old high, failed to sustain the breakout and declined.

This was a profitable seasonal move, but it did not meet the preferred magnitude of a true Bond Mega-Trade.

The example confirms that not every valid seasonal setup will produce an extended trend.

Historical Example: 2013

The 2013 bond market did not provide the expected bullish May–June Mega-Trade.

The 5-year, 10-year and 30-year markets all continued making lower lows.

There was no meaningful bullish SMT divergence.

The broader bond market remained in a bearish environment.

This was a year in which the seasonal expectation did not align with the current technical condition.

The correct decision was not to force a bullish position.

This is why SMT divergence is essential.

The absence of divergence can protect traders from buying into a market that is still under institutional selling pressure.

Historical Example: 2014

In 2014, the 5-year note made a lower low during the May–June period.

The 10-year and 30-year markets initially failed to make corresponding lower lows.

This created divergence.

Later, the 30-year bond ran below equal lows in July, creating a sell-side liquidity sweep and another divergence among the Treasury markets.

The bond market then rallied by approximately $7,000 per contract in the September contract, with further continuation visible in the December contract.

This example shows that manipulation can occasionally appear in bonds through a stop run below equal lows.

Although the bond market may generally be cleaner than some other asset classes, liquidity sweeps still occur.

Historical Example: 2015

In 2015, the 5-year note formed a higher low near the end of June.

The 10-year note and 30-year bond formed lower lows.

This created a clear interest-rate SMT divergence.

The bond market then rallied approximately $14,000 per contract.

However, the move formed a short-term high in August after reaching a premium PD Array and a bearish order block.

Price then declined sharply.

This example demonstrates that the seasonal rally may complete before September or October.

Traders should use higher-timeframe objectives and PD Arrays rather than assuming the market must continue rising until a particular calendar date.

Historical Example: 2016

The 2016 bond market produced another strong seasonal opportunity.

The 5-year note formed a series of lower lows.

The 10-year note and 30-year bond failed to confirm those lows and formed higher lows.

This divergence supported a bullish Bond Mega-Trade.

The market rallied approximately $14,000 per contract.

The move completed in July and did not continue into a higher autumn high.

The seasonal tendency still produced a successful Mega-Trade even though the duration was shorter than expected.

This reinforces the need to measure the trade by price delivery, not merely by time.

Historical Example: 2017

In 2017, the 5-year and 10-year Treasury notes formed higher lows during the seasonal period.

The 30-year Treasury bond made a lower low.

This produced an interest-rate SMT divergence.

The resulting rally was approximately $7,000 per contract at the time of the lesson.

Huddleston explained that he personally preferred to see a move of approximately $10,000 or more per contract before classifying it as a true Bond Mega-Trade.

A $7,000 move may still be a very good trade, but it may not meet the preferred magnitude of a Mega-Trade.

What Qualifies as a True Bond Mega-Trade?

The term Mega-Trade should not be applied to every profitable bond move.

According to the framework, a genuine Bond Mega-Trade should produce a substantial higher-timeframe expansion.

Huddleston states:

“I like to see about ten thousand dollars or more to basically qualify as a Mega trade.”

This is not a rigid market rule.

It is a practical way to distinguish an ordinary successful trade from an exceptional annual opportunity.

A true Bond Mega-Trade generally has:

  • Strong seasonal alignment
  • Clear SMT divergence
  • Higher-timeframe institutional support
  • Significant duration
  • Large price displacement
  • A meaningful monetary move per contract

Anything smaller may still be tradable, but it should not automatically be labelled a Mega-Trade.

Why Some Years Fail

The historical examples demonstrate that the seasonal tendency does not work identically every year.

A Bond Mega-Trade may fail because:

  • No SMT divergence appears
  • All Treasury markets continue making lower lows
  • Price remains in bearish institutional order flow
  • The market is not trading in discount
  • A higher-timeframe premium array limits the rally
  • The seasonal low forms later than expected
  • The bond market remains in consolidation
  • Macro conditions support continued weakness

Years such as 2012 and 2013 show why traders must avoid blind seasonal trading.

A statistical tendency provides an edge only when it is combined with current market information.

Scanning for Interest-Rate SMT

During May and June, traders can perform a daily scan of the Treasury markets.

The process is simple.

Open charts of:

  • 5-year Treasury note futures
  • 10-year Treasury note futures
  • 30-year Treasury bond futures

Use the same time frame and compare the same dates.

Mark the important swing lows.

Ask:

  • Did all three markets make lower lows?
  • Did one market form a higher low?
  • Did one market form an equal low?
  • Did one market run sell-side liquidity while another refused?
  • Did divergence occur inside a discount PD Array?
  • Did bullish displacement follow?

The analysis can begin on the daily chart.

If greater precision is required, the trader can move to an intraday time frame and inspect the exact period in which the low formed.

Using Lower Time Frames

Lower time frames can help identify the precise structure of the SMT divergence.

A two-hour chart may reveal a divergence that is not obvious on the daily chart.

The trader can examine approximately one month of data surrounding the seasonal low.

Lower-timeframe analysis may reveal:

  • One Treasury market making a marginal lower low
  • Another holding a higher low
  • An equal-low pattern
  • A sell-side liquidity sweep
  • A fair value gap reaction
  • A market structure shift

The lower time frame should be used to refine the higher-timeframe idea.

It should not replace the seasonal and daily analysis.

Using Bond Mega-Trades for Intraday Direction

Once a bullish Bond Mega-Trade has been confirmed, traders can use that higher-timeframe bias for intraday trading.

They may focus on:

  • Buying intraday discount
  • Bullish liquidity sweeps
  • Long setups after market structure shifts
  • Bullish fair value gaps
  • One Shot One Kill long setups
  • Avoiding unnecessary short positions

This creates a consistent directional framework.

Instead of treating every intraday movement equally, the trader prioritizes trades that align with institutional accumulation and the seasonal trend.

Contract Selection and Rollover

Treasury futures have delivery months.

A trade that begins in the September contract may continue beyond that contract’s active period.

When the higher-timeframe trend remains valid, traders may consider rolling the position into the December contract.

The rollover process should not be automatic.

The trader must evaluate:

  • Liquidity in the new contract
  • Price differences between contracts
  • Whether the seasonal objective remains valid
  • Whether institutional order flow remains bullish
  • Whether a major premium target has already been reached

Rollover allows a trader to remain involved in a longer-duration Bond Mega-Trade without holding an expiring contract.

Risk Management for Bond Mega-Trades

Bond futures can produce large profits, but they can also create substantial losses.

Every full price point in the 30-year Treasury bond futures contract represents a significant monetary movement.

Therefore, traders must understand contract specifications before participating.

Risk-management principles include:

  • Define the invalidation point before entering.
  • Use position size appropriate for the stop distance.
  • Do not assume seasonal tendencies must work.
  • Avoid entering before SMT confirmation.
  • Do not chase after large bullish displacement.
  • Consider reducing risk after major objectives are reached.
  • Understand contract expiration and rollover.
  • Avoid excessive leverage.
  • Accept that some years will not produce a Mega-Trade.
  • Never force a trade simply because the calendar reaches May.

The size of the expected move should never encourage reckless exposure.

Common Mistakes in Bond Mega-Trade Analysis

Buying Every May

The seasonal tendency is not an automatic buy signal.

The trader must wait for institutional confirmation.

Ignoring the 5-Year and 10-Year Notes

The 30-year bond should not be analyzed in isolation.

The related Treasury markets provide the SMT confirmation.

Entering Without Higher-Timeframe Discount

A bullish seasonal trade is weaker when price is already trading in premium.

The preferred setup forms when the market is undervalued within a meaningful dealing range.

Treating Every Divergence as a Trade

SMT divergence is most powerful when it appears:

  • During the seasonal period
  • At a higher-timeframe PD Array
  • Near liquidity
  • With supportive institutional order flow

Random divergence in the middle of a range may have limited value.

Expecting the Rally to Last Until October

Some Bond Mega-Trades complete in July or August.

Price objectives and market structure are more important than a fixed date.

Overtrading the Bond Market

The model is based on patience.

Searching for constant setups defeats the purpose of the annual seasonal framework.

Bond Mega-Trades Checklist

Before considering a Bond Mega-Trade, ask:

  • Is the market within or near the May–June seasonal window?
  • Has the bond market experienced weakness earlier in the year?
  • Is price trading inside a higher-timeframe discount area?
  • Is there a bullish order block or fair value gap nearby?
  • Have sell-side liquidity levels been taken?
  • What are the 5-year, 10-year and 30-year markets doing?
  • Has one Treasury market failed to confirm the others?
  • Is there clear interest-rate SMT divergence?
  • Has bullish displacement appeared?
  • Has market structure shifted higher?
  • Is there a logical entry through a bullish PD Array?
  • Where is the invalidation point?
  • What is the higher-timeframe target?
  • Is the potential move large enough to justify the risk?
  • Does the contract need to be rolled into a later delivery month?

The trade should only be considered when the seasonal, technical and intermarket conditions support the same idea.

Final Thoughts

Bond Mega-Trades are built around patience, seasonal timing and intermarket confirmation.

The primary ICT model begins with the expectation that the Treasury market may form an important low during May or June.

The trader then studies the 5-year Treasury note, 10-year Treasury note and 30-year Treasury bond for interest-rate SMT divergence.

When that divergence appears inside a higher-timeframe discount PD Array and bullish institutional order flow begins, it may reveal that smart money is accumulating bonds.

The resulting rally can last several weeks or months and may produce one of the most significant bond-market opportunities of the year.

The core process is straightforward:

Wait for the seasonal period, identify discount, compare the Treasury markets, confirm SMT divergence and trade with institutional order flow.

Not every year will produce a true Mega-Trade.

That is part of the model.

The trader develops discipline by waiting for the right conditions rather than forcing an annual setup.

As Michael J. Huddleston explains:

“If you sit on your hands and wait for this to come to fruition, you will develop discipline.”

That patience is what allows traders to separate ordinary price movement from a genuine Bond Mega-Trade.

Written by Sourav Pan
171 Posts
My name is Sourav Pan, and I have over 2 years of experience in trading. I started my trading journey with simple price action concepts, then moved to Smart Money Concepts (SMC). After learning and exploring different trading methods, I completely shifted to ICT (Inner Circle Trader) concepts, which I mainly follow today. Through ICTTraders.net, I share my trading knowledge, ICT concepts, and personal learning experience with other traders.

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