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Live Academy – Advanced Course: Interaction Control, Pacing Design, Post-Stream Review Methods, and Content Series Building

Course Goal

The advanced course mainly addresses four common scenarios: viewers enter the stream but don’t stay, you go off-topic mid-stream, you try to interact but it doesn’t work well, and your return streams rely too much on improvisation.
The goal of this module is to turn interaction into repeatable “standard moves,” help you build a review habit, and then package your content into a series of recurring formats. Once you do these, streaming becomes less exhausting—and it becomes easier for viewers to form a stable habit of watching you regularly.
It’s recommended to design one interaction checkpoint every 5–10 minutes—the stream will feel much easier to run.
 

 

1. Interaction Control

1.1 Interaction Pattern: Ask → Call Out → Guide

The core of interaction is to give viewers a sense of belonging while keeping the conversation grounded. You can do it in three steps:
A. Ask Keep questions short. Use closed-ended questions whenever possible—like 2-choice or 3-choice prompts.
  • Look at BTC first or ETH? Reply 1/2
  • Want key levels or the strategy framework? Reply 1/2
  • Does it look more like a trend or a range right now? Reply 1/2
B. Call Out Calling out viewers shows the chat isn’t just background noise—and it brings you closer to the audience.
  • I see XX chose “range,” so we’ll follow the range method: draw the upper and lower boundaries first, then talk about pullback confirmation.
  • XX mentioned a resistance level—good point. We can use that directly to explain risk boundaries.
C. Guide the Next Action Make the action specific and tied to the current content.
  • If you think this is useful and want more trading knowledge, feel free to follow the streamer.
  • Please send questions in one format: coin + timeframe + key level. I’ll answer them in a batch later.

 

 

1.2 Handling Awkward Silence: Prepare Three Ready-to-Use Moves

Quiet moments are normal. Prepare three fallback options:
A. Ask and Answer Yourself
  • What most people are stuck on right now is: do we trade a breakout here, or a retest? The key standard is whether price can hold above a certain key level.
B. Pre-Built Question Bank Prepare 20 high-frequency questions in advance and group them into four categories: market direction, key levels, strategy execution, risk control. When it gets quiet, pull one from the bank, for example:
  • Where should the stop-loss go?
  • What confirmation signals should I watch?
  • How do I avoid getting chopped up repeatedly inside a range?
C. Scheduled Checkpoint Interactions Set one interaction checkpoint every 10 minutes. This effectively pulls attention back and also helps you collect audience needs.
 

 

1.3 Stream Room Order

Too many rules backfire. Keep only the two most practical ones:
  • Unified question format: e.g., coin + timeframe + key level. If the format is wrong, skip it first. During Q&A, prioritize well-structured questions.
  • Fixed Q&A time: for example, place it at the 40-minute segment. If questions appear earlier, add them to a list first.

 

 

2. Pacing Design

2.1 A 45-Minute Stream Rhythm

The key to pacing is: each segment solves only one problem. It’s recommended to continue using the Basic Module’s 7-segment structure—and “lock in” the interaction checkpoints:
  • 0–2 min: conclusion of this stream
  • 2–10 min: market snapshot
  • 10–25 min: mainline analysis
  • 25–35 min: strategy framework
  • 35–40 min: Q&A block
  • 40–45 min: closing summary & next-stream preview
Interaction checkpoints are recommended at 10/20/30/40/50 minutes—don’t overdo it. Each checkpoint should do only one thing: either a multiple-choice prompt, question collection, or a quick “did you get it” confirmation.

2.2 A Small Trick to Stay on Topic: End Each Segment with One Summary Sentence

Mainline content often gets interrupted because the segment doesn’t “close.” At the end of each segment, keep one fixed summary sentence, such as:
  • This segment clarified two scenarios. Next, we’ll complete the key resistance and support levels.
  • Now that the key levels are mapped, the next segment will cover how to execute the strategy.
With summary sentences, the stream feels much more “driven forward,” and viewers can follow more easily.

2.3 Opinion Delivery Order

Trading content is most likely to become a messy “running commentary.” A long-term recommended structure is: conclusion first, then evidence, for example:
  • Conclusion: BTC currently leans toward an upward rhythm
  • Evidence: mainly because we have a MACD golden cross signal
  • Special case: if a key support level breaks, this judgment becomes invalid—then we observe the market again
This “conclusion first” structure sounds clearer and also saves time.
 

 

3. Post-Stream Review Method

3.1 Single-Stream Review SOP: Screenshot → Highlights → Issues → Changes

A review can focus on what didn’t go well—but what you can improve next time. After each stream, record using the same process:
A. Save the data Recommended items to record: screenshot of view data, chat peak moments, repetitive questions, moments where you got stuck.
B. Highlights Objectively record facts from the stream, for example:
  • At the 10-minute checkpoint, a multiple-choice interaction significantly increased chat density.
  • During the strategy framework segment, viewer questions concentrated on stop-loss logic.
C. Issues Record where the stream felt awkward, where you got stuck, or where it went quiet.
  • No roadmap at the opening; the first two minutes were scattered, and viewers couldn’t抓住重点.
  • In the middle segment, answering random questions consecutively broke the mainline twice.
D. Improvements for the Next Stream Turn the above into changes that can be tested in the next stream, for example:
  • Add a 2-choice poll at the 30-minute checkpoint.
  • After finishing a segment, add a summary sentence.
  • Extend Q&A time.

 

 

4. Content Series Building

4.1 Weekly Series Schedule: Three Topics per Week

Fix three content types per week to form your own content calendar—so viewers know what they can expect on which days. Pre-arrange topics, dates, and materials in advance. Consistent output becomes much more stable.
Below is an example written for strategy-focused trading streams:
A. Hot Topic Examples
  • The biggest variable this week: macro data / policy speech / ETF flows—what is the market pricing in?
  • How to interpret breaking news: break down facts first, then the impact pathway, then provide two scenarios
  • A sector suddenly surges in volume: where did the money come from, and what might happen next?
Example stream structure
  1. Facts layer: what happened, what is the information source, what was the market’s first reaction.
  2. Impact pathway: does it affect sentiment, liquidity, or structure? Use one sentence to explain why it can move price.
  3. Two scenarios:
  • Scenario A: continuation—what are the trigger conditions, and what key levels matter?
  • Scenario B: reversal/pullback—what are the trigger conditions, and what key levels matter?
  1. Strategy boundary: where is the easiest place to FOMO, and when do you choose not to trade. Closing summary: these hot topics usually only give you the first leg of the move; the second leg depends more on whether trigger conditions truly hold.
B. Strategy Topic Examples
  • Retest strategy: what counts as a valid retest, and which three confirmations matter
  • Breakout strategy: breakouts don’t always mean chase—what signals to wait for, and how to identify false breakouts
  • Range strategy: how to trade a range, and how to avoid getting chopped repeatedly
Example stream structure
  • Strategy definition: one sentence explaining which market conditions this strategy fits.
  • Entry conditions: execute only when 3 signals are triggered.
  • Trigger signals: write them as visible actions, such as holding above prior resistance, retest confirmation, structure break.
  • Risk boundary: how to write stop-loss logic, and when to exit immediately.
  • Review framing: if it worked, why; if it failed, was it because conditions weren’t met or execution drifted.
C. Review Topic Examples
  • Weekly BTC/ETH review: how key levels formed, and what to watch next week
  • Review of three typical patterns this week: trend / range / false breakout—what were the identification points
  • Weekly strategy review: which signals worked best, which signals were most likely to mislead
Example stream structure
  • The single most important conclusion of the week: say it in one sentence.
  • Three key checkpoints: for each checkpoint, explain what signals you saw → what judgment you made → how it was validated afterward.
  • Next-week watchlist: provide 3 price levels / 3 conditions, written as a checklist.
  • Next-week preview: announce next week’s hot topics / strategy themes in advance to encourage reservations.

Specialized Course: Standards for Expressing Trading Views, Strategy Explanation Methods, and Compliant Language

Course Goal

Turn viewpoint delivery, strategy explanation, and risk disclosures into a set of reusable speaking templates. While making your livestream more engaging, these templates also help you sound more professional and make post-stream review much easier.
 

 

1. Standards for Expressing Trading Views

1.1 The 4 Elements of a View: Conclusion, Rationale, Conditions, Invalidation Point

The most common issues when presenting a trading view on stream are: You give a conclusion but no boundaries, or you list many reasons and the conclusion becomes unclear.
To avoid this, write all four elements into your script. Your view will be clear, and your review will be consistent.
A. Conclusion
  • Deliver the direction or judgment in one sentence.
  • Examples:
    • “This looks more like a range environment—I'll wait for confirmation first.”
    • “Short-term momentum is strong, but I won’t chase it. I’ll wait for a pullback and validation.”
B. Rationale
  • Keep it to 2–3 points, and make sure they can be shown on-screen or described as observable facts.
  • Examples:
    • “This key level has been tested multiple times but hasn’t broken convincingly.”
    • “Volume didn’t expand alongside the breakout.”
    • “Funding rate / OI changes are diverging.”
C. Conditions
  • Define what must be true for the view to be valid.
  • Examples:
    • “Only if we reclaim and hold the key level, then confirm with a pullback, I’ll treat it as a breakout setup.”
    • “If price returns near the range midpoint, I’ll stay patient to avoid chop.”
D. Invalidation Point
  • State when you admit the view is no longer valid.
  • Examples:
    • “If support breaks decisively and price accepts below, the range thesis is invalid.”
    • “If the key level is reclaimed briefly but fails to hold, I’ll pause the breakout plan.”

 

 

1.2 News/Event Breakdown Method: Key Points → Impact Path → Possible Scenarios

Use a 3-part structure to avoid turning it into a news recap.
A. Extract the key points (keep only 3 types of information)
  • What happened (facts)
  • The market’s first reaction (price / volatility / sentiment)
  • Who is affected (market-wide / a sector / a specific asset)
B. Build the impact path Write it as a short cause-and-effect chain.
  • Template: Event → Channel (sentiment/liquidity/structure/expectations) → Variable (volume/key levels/volatility) → Possible outcome
  • Example:
    • “Policy stance → risk appetite drops → leverage de-risks / volatility rises → key levels get swept more easily.”
C. Two scenarios Provide Scenario A (continuation) and Scenario B (reversal/pullback), each with trigger conditions + levels to watch.
  • Scenario A:
    • “If BTC holds $80,000 and confirms with a pullback, continuation odds increase. Watch $82,500.”
  • Scenario B:
    • “If BTC breaks below $75,000 and then stabilizes, a rebound becomes possible. Watch $78,000.”
Closing line to wrap it up
  • “The event itself isn’t the market direction—what matters is whether the trigger conditions are met.”

 

 

2. Strategy Explanation Methods

2.1 Strategy Breakdown: Entry Logic, Position Principles, SL/TP, Invalidation, Review Language

Two common mistakes:
  1. giving only the conclusion with no process;
  2. explaining the process but no executable actions.
Explain the strategy from these five angles—this can be copied directly into your script.
A. Entry logic
  • First define the market regime: trend / range / event-driven volatility
  • Then define the entry type: breakout confirmation / pullback confirmation / liquidity sweep & reclaim
B. Position principles
  • Talk only about risk budget and scaling logic, not specific leverage numbers.
  • Repeatedly emphasize: derivatives/leverage amplify risk; position size is determined by risk.
C. Stop-loss logic
  • Write SL as the view’s invalidation, not “how much loss you can tolerate.”
  • Example:
    • “If ____ happens (structure breaks / key level fails / acceptance confirms), the stop is triggered.”
D. Take-profit & scaling out
  • Use staged targets: TP1 / TP2 / hold conditions
  • Example:
    • “At $78,000, I’ll reduce part of the position; at $80,000, I’ll manage the rest. I’ll only consider holding if the key level is firmly reclaimed.”
E. Invalidation + exit language
  • Say invalidation out loud so the strategy isn’t mistaken for a prediction.
  • Example:
    • “If the key level fails, the setup is invalid—priority is to exit or stay flat.”
F. Review language Review only two things:
  • Did we enter only after conditions were met?
  • Did we execute as planned (stop / scale out / no chasing)?
Examples:
  • Correct: conditions met + execution followed the plan
  • Wrong: entered before conditions / didn’t honor invalidation / chased emotionally

 

 

2.2 Teach Strategies via a Full Case Walkthrough

If you want content that is repeatable, you must explain the derivation process. Every strategy should include one complete case, using this 4-step flow:
  1. Market environment: trend/range/volatility, and where we are now
  2. Draw key levels: top/bottom/midline, and why they matter
  3. Two paths:
  • Path A: what to do if conditions are met
  • Path B: what to do if conditions are not met
  1. Execution sentence:
  • “If I see ____, I execute ____; if I see ____, I stop/exit.”
Spoken template (paste into your script)
  • “Right now the environment is ____. The key level is ____. If conditions hold, we take Path A: ____. If conditions don’t hold, we take Path B: ____. Execution-wise, I only watch ____ as the signal.”

 

 

3. Compliant Language

3.1 Standard Risk Disclaimer Lines: Opening / Key Views / High-Volatility Segments

Disclaimers should be scripted and inserted at fixed points before trade demonstrations.
Also note: derivatives/leverage risks must be stated clearly—leverage amplifies risk and can lead to rapid losses.
A. Opening standard line (30s version)
  • “This stream is for learning and discussion only and does not constitute investment advice or any trading solicitation. Crypto assets and leveraged/derivatives products are highly volatile and may result in the loss of your entire principal. Please assess your own risk and make independent decisions.”
B. Before key views (short version)
  • “This is my personal framework and scenario planning—focus on whether the conditions are met.”
C. High-volatility reminder
  • “When volatility expands, tighten your risk budget and avoid emotional trading. If unsure, wait for confirmation.”
D. Closing line (review-oriented)
  • “We’ll validate the view through trigger conditions and invalidation points—review is only about conditions and execution.”

 

 

3.2 Content Boundary Checklist: Title, Cover, Visuals, and Comment Guidance

Compliance risk often comes from the combination of title/cover + spoken claims + comment prompts. Maintain a reusable list of “no-go zones” and safer alternatives.
A. No-go examples (Title/Cover)
  • “Join my stream and guaranteed profit”
  • “Insider info—copy trade to win”
  • Explicit profit promises / fixed returns
  • Personal advice implication: “DM me for position size, entry price, guaranteed gains”
B. Safer alternatives (examples)
  • Replace “answers” with frameworks:
    • “Key levels + two-scenario planning”
    • “Pullback/breakout strategy: conditions + invalidation”
    • “Risk boundaries + execution discipline review”
C. Visuals & comment prompts
  • Avoid strong calls-to-action such as:
    • “Go long/short now, all-in, buy the dip immediately”
  • Safer guidance:
    • “Post questions in chat using the format; I’ll answer during the Q&A segment.”
    • “Keep discussion around conditions and invalidation points—no personalized advice.”
 

 

3.3 Handling Audience Questions: Risk-Reduced Response Templates for Sensitive Topics

Sensitive questions usually fall into 3 types: asking for entry levels, asking for position size, asking for guaranteed profit. Approach: don’t avoid interaction, but steer the conversation back to framework + conditions + risk.
A. Audience asks for an exact entry level
  • Template:
    • “The number itself matters less than the conditions. Right now I’m watching the XX–XX zone: if we hold and confirm with a pullback, then we talk execution. If we break below, we switch the plan.”
B. Audience asks for position size / leverage
  • Template:
    • “Position size depends on your risk budget, so I won’t give personalized sizing here. A general principle: keep single-trade risk within what you can afford, define the stop as the view’s invalidation, and reduce risk budget when volatility expands.”
C. Audience asks ‘buy or not / can I enter now?’
  • Template:
    • “I won’t give direct commands here. Let’s break it into two steps: is the market trending or ranging, and are the conditions met? Only if ____ is met do we consider execution—otherwise we wait.”
D. Audience pushes for a conclusion
  • You can give a conclusion, but you must define boundaries. Template:
    • “Right now I lean ____; my rationale is ____; the conditions are ____; the invalidation is ____. We’ll validate it through the conditions.”

Promotion Course: In-Platform Distribution, Trend Tracking, Titles & Covers, and Short-Clip Repurposing (Content-Filled Version)

Course Goal

Help streamers master the full loop of “publish → gain exposure → convert viewers into followers → amplify through redistribution.” Turn every livestream into a reusable content asset. Even if your content is great, missing any step in the distribution chain will hurt reach, watch time, follows, and repeat streams.
This course focuses on how to connect the entire chain effectively and increase overall exposure.
 

 

1. In-Platform Distribution Mechanism

1.1 Key Distribution Actions: Scheduling, Tags/Keywords, Time Selection, Interaction Intensity, Completion & Re-Streams

A. Announcements (T-24h / T-2h / T-10min)

Post three times so viewers know what today’s stream is about and what they’ll gain. Each announcement should clearly state: topic, key takeaways, and start time.
  • T-24h Announcement: Topic + Stream Structure
    • Copy template:
      • “Tonight’s topic is XXX. We’ll cover: 1) Market snapshot 2) Two scenarios 3) Execution framework. Time: XX:XX (UTC). See you there 😉”
  • T-2h Announcement: Add Key Highlights + Interaction Entry
    • Copy template:
      • “Going live in 2 hours — key levels are in play. Do you want BTC or ETH first? Reply 1/2 in the comments and we’ll follow the vote order.”
  • T-10min Reminder: Pull viewers in + Set rules
    • Copy template:
      • “Starting in 10 minutes. For questions, use: token + timeframe + what you’re looking at. I’ll do a focused Q&A at the 40-minute mark.”
Core principle: reveal your structure upfront. The clearer the structure, the more likely viewers will join and stay until the end.
 

 

B. Tags / Keywords

You don’t need many—3–5 is enough: 1 category + 1–2 trends + 1 strategy + 1 token.
Keep keywords consistent across title, description, and pinned message so search and recommendations align better. Metadata and keywords significantly improve discoverability and reusability.
  • Example (market/strategy content):
    • Category: Futures / Market Analysis
    • Trend: CPI / ETF Flows (swap weekly)
    • Strategy: Breakout Retest / Pullback Plan
    • Token: BTC / ETH

 

 

C. Choosing Stream Time

The logic is simple: build habit. Prefer 2–3 fixed weekly time slots and avoid random scheduling.
  • Better for new streamers: fixed weekdays + fixed time block (evenings or lunch breaks)
  • Better for trend-driven streams: go live 30–90 minutes after the event for a timely breakdown

 

 

D. Interaction Intensity

Don’t rely on improvisation—use planned interaction checkpoints. Set one checkpoint every 5–10 minutes:
  • 10 min: A/B choice (BTC first or ETH?)
  • 20 min: Confirmation question (trend or range?)
  • 30 min: Demand check (key levels or strategy framework?)
  • 40 min: Question consolidation (collect 5 high-quality questions in a format)
Interaction checkpoints help reset attention, collect needs, and maintain order. Whether you design these checkpoints affects retention and downstream algorithmic recommendation.
 

 

E. Completion & Re-Streams

Right after the stream finishes, do two things immediately:
  1. Add a “Replay Summary”:
    1. 3 takeaways + 2 scenarios + risk boundaries
    2. (So late viewers understand the stream in 10 seconds)
  2. Schedule a “Re-Stream Plan”:
    1. Re-stream the same topic within 48 hours
    2. Validate the prior conclusions, pull viewers back for updates, and maximize long-tail value
    3. Turn one stream into a long-term content asset

 

 

1.2 In-Platform Conversion: Standard Follow/Subscribe/Reminder Scripts + Timing

Insert conversion lines three times, one sentence each:
  • Opening (0–1 min):
    • “We’ll follow a 60-minute structure: snapshot → scenarios → strategy → Q&A. If you want weekly updates in this framework, follow first.”
  • Midpoint (25–30 min):
    • “I’ll summarize key levels into a checklist card later. Follow if you want the list—replay will be saved too.”
  • Closing (40–45 min):
    • “Next stream topic is [TOPIC], time is [XX:XX]. If you want a reminder, hit ‘Reserve’.”

 

 

2. Trend Tracking

2.1 Hot Topic Breakdown Template: What → Market Impact → Discussion Angles → Conclusion & Boundaries

Use four fixed parts to avoid reading news aloud:
  1. What it is: state the event + first market reaction
  2. Potential impact: explain the channel (sentiment / liquidity / structure / expectations) without jargon stacking
  3. Angles: only 2 angles—don’t overload
  4. Conclusion & boundaries: your view + trigger conditions + invalidation point
  • Example (macro data topic):
    • What: “XX data was released; market moved with a quick volatility burst.”
    • Impact: “Expectation shift → risk appetite shift → key levels become easier to break / easier to hold.”
    • Angles:
      • Angle 1: whether key levels hold or break
      • Angle 2: strategy choice under volatility (wait for confirmation / reduce risk budget)
    • Conclusion: “Leaning Scenario A; if Scenario B triggers, switch the plan.”

 

 

2.2 The 15-Minute Topic Method: From Trend to Script Outline Fast

Split 15 minutes into 3 blocks (5 min each):
  • First 5 min: Define the topic
    • Write one title line (trend + outcome/question)
    • Write one takeaway line (what viewers will learn)
  • Middle 5 min: Define structure
    • Draft 6 lines: snapshot → impact path → Scenario A → Scenario B → strategy framework → Q&A
  • Last 5 min: Prepare assets
    • Prepare 3 visual assets: key-level chart, data screenshot, conclusion checklist card
    • Write 3 interaction questions: one for 10/20/30-minute checkpoints
Benefit: when trends happen, you can ship fast—and your structure won’t fall apart.
 

 

3. Titles & Covers

3.1 Title Formulas: Outcome-Driven / Trend-Bound / Curiosity Question / Numbered Promise (Mind Compliance Boundaries)

Write 3 versions, then pick the clearest. Put keywords in the first half. Keep it to a single readable line.
A. Outcome-driven (what viewers learn)
  • “BTC key levels + two scenarios: how to write this week’s plan”
  • “How to trade a range: confirmation signals + risk boundaries”
B. Trend-bound (what’s happening now)
  • “The biggest variable this week: two scenarios from the XX event”
  • “How to read the XX news: impact path + execution framework”
C. Curiosity question (the core problem)
  • “Will the breakout hold? How to confirm signals and invalidation”
  • “Can this pullback be bought? Key levels + exit conditions”
D. Numbered promise (structure & checklist)
  • “3 watch levels + 2 scenarios: tonight we write the plan clearly”
  • “A 60-min breakdown: snapshot, scenarios, strategy, Q&A”
Long-term compliance boundary: no profit promises, no “must go up/down,” no “copy my trades” implications. Titles should read like methods and frameworks—that makes content reusable.
 

 

3.2 Cover Elements: Topic, Core Selling Point, Visual Focus (Templates Reduce Production Cost)

Use the official templates for consistency, and we also encourage streamers to design more distinctive covers.
Key points for cover design:
  • Topic: BTC / ETH / a trend event
  • Core selling point: two scenarios / key-level checklist / strategy framework
  • Visual focus: one big word + one key point (avoid clutter)
Keep cover text to 8–12 characters (or similarly short in English) so viewers can read it instantly while scrolling. Templates dramatically reduce production time.
 

 

4. Short-Clip Repurposing

4.1 Repurposing SOP: Cut 30–60s High-Density Clips from Replay, Add “Hook + Numbers” Titles + Short Copy

The goal isn’t “more clips,” it’s “each clip stands alone.” Repurposing long-form into multiple shorts for different distribution contexts extends lifecycle significantly.
A. What to clip (priority order)
  1. One conclusion + one rationale (highest density)
  2. The boundary between two scenarios (clear trigger conditions)
  3. Correcting a common misconception (high shareability)
  4. A clear execution line (if X then do Y)
B. Editing standard (30–60s)
  • First 2 seconds: state topic or conclusion immediately
  • Middle 20–40s: explain rationale + conditions clearly
  • Last 3 seconds: give boundaries or next watch point
C. Title & copy templates (Hook + Numbers)
  • Titles:
    • “Two scenarios: don’t rush before the key level holds”
    • “3 watch points: only watch these signals next”
  • Copy:
    • Conclusion:
    • Conditions:
    • Invalidation:
    • Full breakdown is in the replay—feel free to check it out.

 

 

4.2 Designing for “Shareability”: Plant Clip Moments During the Livestream

If you plant moments in advance, clips become much easier to cut. Pre-embed these three segments:
  • Conclusion-card segment (10–15 min): summarize the most important conclusion in one sentence
  • Scenario-boundary segment (25–30 min): separate Scenario A/B with trigger conditions
  • Execution-sentence segment (35–40 min): a clear “see X, do Y” phrasing
The most shareable trading content is clear rule sentences, e.g.:
  • “Holding is the condition; pullback confirmation is the action. If conditions fail, exit immediately.”
  • “Trading requires alignment between knowledge and execution—only by enforcing your trading logic with discipline can you grow into a mature trader.”

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Announcements
Important Notice: Optimization of the Perpetual Futures Funding Rate Calculation Mechanism(01-09)
Custom
 
Dear KuCoin Futures Users,
 
To further enhance the continuity and market adaptability of the perpetual futures funding rate mechanism, the platform will optimize the MA (Moving Average) calculation cycle logic used in funding rate calculations. Please review the following important updates carefully.

1. Adjustment Time

The optimization will be completed during the following time window: January 9, 2026, 08:00 – 09:00 (UTC)

 2. Details of the Adjustment

2.1 Core Optimization of the MA Calculation Cycle

The funding rate calculation formula is as follows:
  • Funding Rate = Clamp(MA [{(BestBidPrice + BestAskPrice) / 2 - Index Price} / Index Price + Interest], a, b)
Where:
  • Funding Rate Upper Limit (a) = (Minimum Initial Margin - Minimum Maintenance Margin) * 0.75
  • Funding Rate Lower Limit (b) = (Minimum Initial Margin - Minimum Maintenance Margin) * -0.75
  • Interest:
    • Interest Rate = Daily Interest Rate / (24 / Settlement Interval)
    • USDT-Margined Contracts: daily interest rate of 0.03%
    • Coin-Margined Contracts: daily interest rate of 0.03%
Please note:
Not all trading pairs strictly apply the above formula to determine funding rate limits.

2.2 Comparison Before and After the Optimization (with Example)

Before:
  • The MA used in funding rate calculations is based on data within the current settlement cycle;
  • Data accumulation starts from the beginning of the cycle, sampled once per minute;
  • MA data continues to accumulate until the settlement cycle ends.
After:
  • The MA calculation is changed from a fixed cycle to a sliding window;
  • The calculation window is based on the current time and looks backward over the corresponding cycle length;
  • All valid data within the sliding window participates in the calculation, without relying on a fixed cycle start point.
This optimization improves the responsiveness of funding rates to real-time market conditions.
 
Example:
  • Before optimization, if the funding rate cycle is 4 hours and the current time is 16:10, the MA calculation still accumulates data starting from 16:00 of the same day;
  • After optimization, regardless of the current time (e.g., 10:37 or 16:01), the MA calculation window always slides backward from the current moment, using historical data over the relevant cycle length (depending on the settlement cycle of the trading pair), without being restricted by fixed time boundaries.

3. Important References

3.1 Trading Pairs with Previously Updated Algorithms

Some trading pairs have already undergone separate funding rate calculation upgrades. These trading pairs are not affected by the current optimization and will continue to use the updated algorithm.
Please refer to the following announcement for details:

3.2 Funding Rate Algorithm Help Center Update

You may refer to the relevant Help Center article for detailed explanations of the funding rate mechanism.
Special Notice:
  • The Help Center content will be updated to reflect the new calculation logic after January 9, 08:00 (UTC);
  • Prior to the update, the page will continue to display the previous version of the algorithm.

4. Risk Disclaimer

Perpetual futures trading involves high risk. Adjustments to the funding rate mechanism may affect funding costs. Users are advised to closely monitor funding rate changes, manage positions and leverage prudently, and adjust trading strategies accordingly.

KuCoin Futures will continue to optimize its contract trading mechanisms to provide users with a safer and more efficient trading experience.

Thanks for your understanding and support!

The KuCoin Futures Team

Risk Warning: Futures trading is a high-risk activity with the potential for huge gains and huge losses. Previous gains do not indicate future returns. Severe price fluctuations may result in the forced liquidation of your entire margin balance. This information should not be regarded as investment advice from KuCoin. All trading is done at your own discretion and your own risk. KuCoin is not liable for any losses resulting from Futures trading.

Thank you for your support!

The KuCoin Team

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ST: KuCoin Will Delist Certain Projects and Their Associated Tokens

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Dear KuCoin Users,

In accordance with the Special Treatment Rules of KuCoin, the following 30 projects will be delisted, and their associated tokens will be removed from the platform. 

Projects and Tokens to Be Delisted:

  1. NetVRk (NETVR)

  2. Everscale (EVER)

  3. Pentagon (PEN)

  4. Shrapnel (SHRAP)

  5. Moolah (MOOLAH)

  6. Ani Grok Companion (ANI)

  7. Synternet (SYNT)

  8. BEPRO Network (BEPRO)

  9. OPENPAD TOKEN (OPAD)

  10. Namada (NAM)

  11. KIP Protocol (KIP)

  12. Openfabric AI (OFN)

  13. Tokyo Games Token (TGT)

  14. Liquidswap (LSD)

  15. FreeStyle Classic (FST)

  16. NOTAI (NOTAI)

  17. UpOnly(UPO)

  18. Engines of Fury (FURY)

  19. E4C: Final Salvation (E4C)

  20. Befi Labs (BEFI)

  21. Xyro (XYRO)

  22. Numerico (NWC)

  23. Reddio (RDO)

  24. Bombie (BOMB)

  25. LogX Network (LOGX)

  26. Stonks (STNK)

  27. Eigenpie (EGP)

  28. FireStarter (FLAME)

  29. Dark Eclipse (DARK)

The delisting process is as follows:

1. These projects will be delisted at 08:00:00 on February 13, 2026 (UTC). The withdrawal service for the above-mentioned projects will be closed at 08:00:00 on March 13, 2026 (UTC);

2. The deposit service for the above-mentioned projects will remain closed;

3. If you are currently holding the afore-mentioned tokens, please withdraw them on or before the closing date mentioned above;

4. Please also note that during this period, if withdrawal fails due to the project-related issues (including but not limited to the cessation of on-chain activities like block generation and fund transfers), KuCoin will close the withdrawal service accordingly, and will NOT be able to cover users’ losses. Thus, we strongly advise making withdrawals at your earliest convenience;

5. To avoid potential losses, we highly recommend monitoring updates on the KuCoin Delistings special page. You may also find the planned closing times for trading, deposits, and withdrawals of all delisted tokens, in addition to the announcements;

6. If you have any questions, please reach out to our 24/7 customer support via online chat or submit a ticket.

We sincerely appreciate your support and understanding.

Best regards,

The KuCoin Team

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Sign up on KuCoin now!>>>

Download the KuCoin App >>>

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KuCoin Skills Hub Is Now Live — Connecting AI Agents to the KuCoin Exchange
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As AI agents become an increasingly powerful force in how people interact with financial data and markets, KuCoin Skills Hub is designed to meet this moment. It provides a structured, reliable, and standardised way for AI agents and LLM-powered tools to query real-time and historical data directly from KuCoin — no custom integrations required.
 
What's available at launch:
  • spot — Spot market data, HF order queries, stop orders, and OCO orders.
  • margin-trading — Cross/isolated margin data, borrow/repay history, lending, and risk limits.
  • futures-trading — Futures market data, order queries, position queries, and funding fees.
  • assets — Account balances, ledgers, sub-accounts, deposits, withdrawals, and trade fees.
  • earn — Simple Earn and Structured Earn product queries.
  • convert — Instant convert quotes, market order history, and limit order queries.
  • broker — Affiliate, Broker Pro, and ND Exchange Broker queries.
All skills are open source, versioned, and ready to use. This is just the beginning — we will continue expanding skill coverage and adding support for additional endpoints as the ecosystem evolves. Stay tuned for more updates.
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