4.1 Understanding Tokenomics
Lesson Objective
Understand the foundational components of tokenomics - supply, distribution, utility, incentives, and value capture. Learn to evaluate whether a project's economic model is fundamentally sound or destined to fail.
I. Core Tokenomics Components
Supply & Distribution
- • Total supply
- • Circulating supply
- • Initial distribution
- • Vesting schedules
- • Inflation rate
Utility & Use Cases
- • Governance rights
- • Transaction fees
- • Staking rewards
- • Network security
- • Protocol access
Incentives & Rewards
- • Mining/staking rewards
- • Liquidity incentives
- • Developer grants
- • User rewards
- • Burn mechanisms
Value Capture
- • Revenue sharing
- • Fee distribution
- • Buyback & burn
- • Value accrual
- • Token sinks
[Tokenomics Framework Diagram]
Visual showing the 4 pillars: Supply, Utility, Incentives, Value Capture
II. Token Distribution Analysis
| Allocation Category | Typical % | Vesting Period | Good Practice | Red Flags |
|---|---|---|---|---|
| Team & Founders | 10-20% | 2-4 years linear vesting | Long vesting, public wallets | No vesting, instant access |
| Investors & VCs | 15-30% | 1-3 years with cliff | Structured unlocks | Massive early unlocks |
| Community & Airdrops | 5-15% | Immediate to 1 year | Fair distribution | Whale-dominated airdrops |
| Treasury & Ecosystem | 20-40% | Governance controlled | Multi-sig, transparent | Team-controlled, opaque |
| Public Sale | 10-25% | Immediate or short lock | Fair price, reasonable % | Excessive % to public |
III. Token Utility Evaluation Framework
Strong Utility Indicators
-
✓
Governance Rights
Token holders vote on protocol changes
-
✓
Fee Payment
Required to pay transaction fees
-
✓
Staking for Security
Token staked to secure network
-
✓
Revenue Sharing
Protocol revenue distributed to holders
Weak Utility Red Flags
-
✗
"Governance Only" Token
No other utility = insufficient demand
-
✗
Artificial Demand
Unsustainable high APY rewards (1000%+)
-
✗
No Revenue Model
Protocol generates no revenue/fees
-
✗
Centralized Control
Team controls >50% of supply or voting
IV. Tokenomics Case Studies
Bitcoin
Gold Standard
Scarcity + security + network effects
Ethereum
Utility Token
Multiple utilities + deflationary pressure
Failed Project
Why it failed
No value accrual, team dumping
V. Tokenomics Analysis Exercise
📝 Analyze This Tokenomics Structure:
📊 Token Distribution
- Team: 25% (4-year vesting)
- Investors: 20% (2-year vesting)
- Treasury: 15%
- Liquidity Mining: 30% (over 4 years)
- Airdrop: 10% (immediate)
⚙️ Token Utility
- ✓ Governance voting
- ✓ Staking for fee discounts
- ✓ 50% fee revenue sharing
- ✓ Premium features (v2)
📊 Tokenomics Analysis:
Strengths: Good vesting (4 years team), multiple utilities, value accrual (revenue sharing), controlled emissions
Weaknesses: High investor concentration, immediate airdrop may cause selling pressure
Overall: 7.5/10 – Solid model with good alignment, monitor unlocks
💡 Tokenomics Golden Rule
If you can't explain how a token captures value, the team probably can't either. Strong tokenomics have: (1) Fair distribution with long vesting, (2) Multiple genuine utilities, (3) Clear value accrual to holders, (4) Sustainable incentives, (5) Transparent treasury.
4.2 Inflation & Supply Models
Lesson Objective
Understand different supply models, inflation mechanisms, and emission schedules. Learn to analyze how token issuance affects price, identify dilution risks, and evaluate deflationary mechanisms.
I. Supply Model Types
Fixed Supply
Use Case: Store of value, digital gold
Controlled Inflation
Use Case: Utility platforms, smart contracts
Deflationary
Use Case: Utility tokens with fee revenue
II. Bitcoin's Halving Mechanism
Halving Event
Every 210,000 blocks (~4 years), block reward halves
Supply Shock
New supply decreases by 50% overnight
Price Impact
Reduced selling pressure from miners
Market Cycle
Historically leads to bull markets 12-18 months later
| Halving | Year | Block Reward | Annual Inflation | Bitcoin Price | Performance After |
|---|---|---|---|---|---|
| First | 2012 | 50 → 25 BTC | 25% → 12% | $12 | +9,300% in 1 year |
| Second | 2016 | 25 → 12.5 BTC | 8.5% → 4.2% | $650 | +2,800% in 1.5 years |
| Third | 2020 | 12.5 → 6.25 BTC | 3.6% → 1.8% | $8,600 | +600% in 1 year |
| Fourth | 2024 | 6.25 → 3.125 BTC | ~1.7% → ~0.85% | $64,000 | TBD (Projected) |
III. Emission Schedules & Vesting
📈 Common Emission Curves
Linear Emissions
Constant tokens per period – predictable but ongoing sell pressure.
Exponential Decay
High initial, decreases over time – front-loads liquidity.
S-Curve
Slow start, rapid growth, plateau – matches adoption curve.
Staged Emissions
Different rates per period – tied to milestones.
🔒 Vesting Schedule Analysis
Cliff Period
No token releases initially – prevents immediate dumping.
Linear Vesting
Even release after cliff – most common and fair.
Back-Loaded
More tokens later – aligns long-term but may cause future dumps.
Milestone-Based
Tied to achievements – high alignment but can be manipulated.
IV. Deflationary Mechanisms
Token Burning
Tokens sent to irrecoverable address
Examples: BNB quarterly burns, ETH EIP-1559
✓ Reduces supply, increases scarcity
✗ May reduce security/staking rewards
Buyback & Burn
Protocol buys tokens from market and burns them
Mechanism: Creates buying pressure + reduces supply
✓ Double deflationary effect
✗ Requires sustainable revenue stream
Token Locking
Tokens locked in smart contracts (staking, veToken models)
Effect: Reduces circulating supply temporarily
✓ Creates artificial scarcity
✗ Unlocks create future selling pressure
V. Market Cap vs Fully Diluted Valuation
Understanding FDV
Market Cap
Price × Circulating Supply
Example: $10 × 1M tokens = $10M MC
Fully Diluted Valuation (FDV)
Price × Total Supply (including locked/unminted)
Example: $10 × 10M total = $100M FDV
The FDV Trap
A large gap between Market Cap and FDV indicates massive future dilution:
Example Scenario:
- • MC: $100M
- • FDV: $1B (10x MC)
- • 90% of supply still locked
- • Future unlocks = 900% dilution
- • Price must 10x just to maintain MC
VI. Supply Analysis Exercise
📝 Analyze This Supply Scenario:
Project: "Yield Protocol Y" with governance token YLD
📊 Token Metrics
- Total Supply: 100M YLD
- Circulating: 25M YLD (25%)
- Current Price: $4.00
- Market Cap: $100M
- FDV: $400M
📅 Upcoming Supply Events
- Team Unlock: 10M (10%) in 30 days
- Investor Unlock: 15M (15%) in 60 days
- Monthly Emissions: 5M tokens
- Quarterly Burn: 500k tokens
⚠️ Supply Analysis:
Verdict: 🚨 Extremely bearish supply dynamics
- FDV 4x market cap = massive dilution coming
- 25M tokens unlocking in next 60 days (25% of supply)
- 5M monthly emissions = 60M annual inflation (60% inflation rate!)
- 500k quarterly burn is insignificant vs unlocks
Likely significant price decline ahead
💡 Supply Analysis Golden Rule
Always check the dilution schedule before buying. A low market cap with high FDV is a trap. Calculate: (FDV ÷ Market Cap) = dilution multiple. If > 3x, you need 3x price appreciation just to break even after unlocks.
4.3 Roadmaps, Updates & Partnerships
Lesson Objective
Learn to evaluate project development through roadmaps, GitHub activity, and partnerships. Understand how to separate genuine progress from marketing hype and identify teams that deliver vs those that overpromise.
I. Roadmap Analysis Framework
Green Flags
-
✓
Realistic timelines
Achievable milestones with buffer time
-
✓
Previous delivery history
Team has met past roadmap commitments
-
✓
Technical details
Specific features, not vague promises
-
✓
Regular updates
Monthly progress reports, transparent communication
Red Flags
-
✗
Vague buzzwords
"Revolutionary", "game-changing", no specifics
-
✗
Missed deadlines
Repeated delays without explanation
-
✗
No code commits
GitHub inactive despite roadmap claims
-
✗
Marketing > development
More tweets about partnerships than actual code
II. GitHub Activity Analysis
Commit Activity
⚠️ Sudden drop = team slowing down
Developer Count
⚠️ Devs leaving = project dying
Community Engagement
✓ High activity = healthy project
| Metric | Bullish | Neutral | Bearish |
|---|---|---|---|
| Commit Frequency | Daily commits | Weekly commits | Monthly or less |
| Developer Count | 15+ active | 5-15 active | < 5 active |
| Code Quality | Well documented, tests | Basic documentation | No tests, messy code |
| Issue Resolution | PRs merged quickly | Some backlog | Issues ignored for months |
III. Partnership Evaluation Framework
Real Partnerships
-
✓
Technical integration
Actual code merged, working together
-
✓
Joint development
Building something tangible together
-
✓
Ecosystem grants
Funding developers to build on the project
-
✓
Validators/Node operators
Reputable entities securing the network
Vaporware Partnerships
-
✗
"Strategic partnership"
No details, just announcement
-
✗
Advisor name-dropping
Celebrities/influencers with no real involvement
-
✗
Memorandum of Understanding (MOU)
Non-binding, means nothing
-
✗
Paid listings
Projects paying for "partnership" announcements
IV. Real-World Case Studies
✅ Delivered on Promises
- • The Merge: Delivered Sep 2022 (on schedule)
- • EIP-1559: Implemented Aug 2021
- • Regular core dev calls, transparent roadmap
- • 100+ active developers, daily commits
Result: Price increased on delivery
❌ Overpromised, Underdelivered
- • "Q1 2023 mainnet" → Q4 2023 still no launch
- • "Partnership with major bank" → never materialized
- • GitHub empty for 6 months
- • Team tweets marketing, no code
Result: -90% from all-time high
V. Development Analysis Exercise
🔍 Analyze This Project's Development Health:
📅 Roadmap
- • "Q4 2023: Mainnet launch" (missed)
- • "Q1 2024: Mobile app" (no update)
- • "Partnership with top 10 exchange" TBA
💻 GitHub
- Last commit: 8 months ago
- Contributors: 3
- Stars: 2,500
- Open issues: 47 unanswered
🤝 Recent Announcements
"Strategic partnership with global brand" (no details) • "New advisor: famous influencer" • "AMA next week"
⚠️ Development Health Assessment:
Verdict: 🚨 Project in decline - development dead
- Missed roadmap deadlines with no explanation
- GitHub inactive for 8 months (abandoned)
- Only 3 developers (all probably left)
- Vague "partnership" announcements = marketing hype
- Influencer "advisors" = paid endorsements, not real work
Avoid this project - likely exit scam or slow rug
VI. Development Tracking Tools
GitHub
Free - check commits directly
Santiment
Dev activity metrics
Token Terminal
Dev counts & updates
CryptoMiso
GitHub activity rankings
💡 Development Golden Rule
Watch what they do, not what they say. Check GitHub first. If there's no code, there's no product. Real projects ship code, not just tweets. Partnerships without integration are worthless.
4.4 Exchange Listings
Lesson Objective
Understand the impact of exchange listings on token price and liquidity. Learn to evaluate listing quality, avoid "listing pump and dump" schemes, and identify genuine exchange adoption vs paid promotions.
I. Exchange Tier System
Tier 1
Binance, Coinbase
Top-tier global exchanges
🚀 Huge impact
Tier 2
Kucoin, Kraken, OKX
Major regional exchanges
📈 Significant impact
Tier 3
Gate.io, Mexc, Bybit
Mid-tier exchanges
📊 Moderate impact
Tier 4
Smaller exchanges
Higher risk, lower volume
🔻 Minimal impact
II. Listing Impact Analysis
📈 Typical Price Impact
⏰ Typical Timeline
Rumors leak
Whales accumulate, price +10-20%
Official announcement
Immediate spike, FOMO buying
Listing day
Peak price, then "sell the news"
7-30 days after
Price retraces 30-50% from peak
III. The Binance Listing Effect
Why Binance Listings Matter
- • 200M+ users globally
- • Highest liquidity = easier buying/selling
- • Credibility boost (due diligence implied)
- • Access to futures, margin trading
- • Institutional investors can enter
Historical Examples
AXS (Axie Infinity)
Pre-listing: $30 → Post-listing: $165 (+450%)
SOL (Solana)
Pre-listing: $1.50 → Post-listing: $5.00 (+233%)
MATIC (Polygon)
Pre-listing: $0.04 → Post-listing: $0.15 (+275%)
IV. Listing Quality Indicators
Quality Listings
-
✓
Organic progression
Tier 3 → Tier 2 → Tier 1 over months
-
✓
Time between listings
Weeks/months apart, not days
-
✓
Strong volume after
Sustained trading, not just第一天
-
✓
No upfront payment
Tier 1 exchanges don't charge listing fees
Paid/Pump Listings
-
✗
Multiple listings in days
"Listing spree" to create hype
-
✗
Paid listings on smaller exchanges
Projects pay $100k+ for "premium" listings
-
✗
Pump and dump pattern
Price spikes then crashes -70%
-
✗
No volume after第一天
Dead trading after initial hype
V. Exchange Listing Checklist
📋 Before Listing
- □ Check rumors on CT
- □ Look for wallet movements
- □ Accumulate on dips
- □ Set alert for news
📈 At Announcement
- □ Don't FOMO buy
- □ Wait for initial spike to settle
- □ Check if it's organic or paid
📉 After Listing
- □ Take profits on the spike
- □ Watch for "sell the news"
- □ Rebuy at lower prices later
VI. Listing Analysis Exercise
📝 Analyze This Listing Scenario:
📅 Timeline
- • Week 1: Listed on small exchange A
- • Week 2: Listed on exchange B, C, D
- • Week 3: "Binance listing announced!"
📊 Price Action
- • Before listings: $0.50
- • After small exchanges: $0.80 (+60%)
- • Binance rumor: $1.50 (+200%)
- • Binance official: $2.00 (+300%)
- • 1 week later: $0.90 (-55% from peak)
📊 Listing Analysis:
Pattern: Classic paid listing spree + Binance pump and dump
- Multiple small exchange listings in days = paid promotions
- Team likely paid for Binance listing (or used connections)
- 300% gain on news, then 55% crash = "sell the news" event
- Whales who accumulated at $0.50 dumped at $2.00
Strategy: Buy at $0.50 on rumors, sell at $2.00 on news, rebuy at $0.90 if fundamentals strong
The "Listing Spree" Trap
When a project announces 5+ exchange listings in 2 weeks, it's often a sign they're paying for listings to create artificial hype. These listings are usually on smaller exchanges that accept payment. The team knows retail chases listings, so they use this to pump price before dumping.
VIII. Listing Tracking Tools
CoinMarketCap
Upcoming listings calendar
CoinGecko
Exchange tracker
Follow @binance, @coinbase
Telegram/Discord
Rumors leak first
💡 Exchange Listing Golden Rule
Buy the rumor, sell the news. Most of the gain happens BEFORE the official listing announcement. By the time Binance tweets it, whales are already selling to FOMO buyers. Quality projects get listed organically over time; "listing sprees" are usually paid promotions.
4.5 On-Chain Basics
Lesson Objective
Learn to read on-chain data to understand real network usage, investor behavior, and market trends. Master key metrics like active addresses, transaction volume, NVT ratio, exchange flows, and whale activity.
I. Why On-Chain Analysis?
Real Usage
Price can be manipulated, but on-chain activity shows actual network usage
Whale Watching
Track what large holders are doing before price moves
Market Health
Identify organic growth vs speculative bubbles
II. Core On-Chain Metrics
Active Addresses
Number of unique addresses transacting on the network daily.
⚠️ Price up but addresses down = divergence (top signal)
Transaction Volume
Total value moving on-chain (adjusted for noise).
💡 Compare with price action for divergence
III. NVT Ratio (Network Value to Transactions)
What is NVT?
NVT = Market Cap ÷ Transaction Volume
Think of it as the Price-to-Earnings (P/E) ratio for crypto. It tells you if a network is overvalued relative to its usage.
High NVT (> 100)
Network overvalued, speculative bubble, price may correct
Low NVT (< 30)
Network undervalued, organic usage, potential buying opportunity
NVT Interpretation
Example: Bitcoin NVT > 120 in Dec 2017 (top), < 20 in Mar 2020 (bottom)
IV. Exchange Flows
Exchange Inflow
Tokens moving INTO exchanges = preparing to sell
Signal:
Large inflow spike = selling pressure incoming (bearish)
Exchange Outflow
Tokens moving OUT of exchanges = accumulation for holding
Signal:
Large outflow spike = accumulation (bullish)
V. Whale Transaction Tracking
| Transaction Size | Category | Signal Strength | Interpretation |
|---|---|---|---|
| 100-500 BTC | Minor Whale | Weak signal | Retail whales, less significant |
| 500-1,000 BTC | Medium Whale | Moderate signal | Institutional movement |
| 1,000-5,000 BTC | Major Whale | Strong signal | Exchange/early adopter movement |
| >5,000 BTC | Mega Whale | Very strong signal | Institution/fund movement |
VI. SOPR (Spent Output Profit Ratio)
What is SOPR?
Measures whether coins moved on-chain are being sold at a profit or loss.
SOPR = Value Sold ÷ Value Paid (when coins were bought)
Trading Signals
- ✓ SOPR drops below 1 (capitulation) = buy signal
- ✗ SOPR spikes above 1.5 (excessive profit-taking) = sell signal
- ⚠️ SOPR reset to 1 after rally = healthy correction
VII. MVRV Ratio (Market Value to Realized Value)
MVRV = Market Cap ÷ Realized Cap
Realized Cap = value of each coin at the price it last moved (cost basis).
MVRV < 1
Market below cost basis = undervalued (buy zone)
MVRV > 3
Market far above cost basis = overvalued (sell zone)
Historical Levels
VIII. On-Chain Analysis Exercise
🔍 Analyze This On-Chain Data:
📊 Current Metrics
- Active Addresses: Up 30% (6-month high)
- Transaction Volume: +45% this month
- NVT Ratio: 85 (normal range)
🐋 Whale Activity
- Exchange Inflow: +8,000 BTC in 24h
- Exchange Outflow: +2,000 BTC
- Large Tx (>1k BTC): 15 in 24h
📈 Market Context
Price up 40% in 30 days. SOPR = 1.35, MVRV = 2.8
📊 On-Chain Analysis:
Bullish signs: Active addresses and volume growing (real usage)
Bearish signs: Massive exchange inflow (whales preparing to sell), SOPR high (profit-taking), MVRV approaching overvalued zone
Conclusion: Strong fundamentals but short-term selling pressure likely. Consider taking partial profits, wait for dip to re-enter.
IX. On-Chain Analysis Tools
Glassnode
Most comprehensive on-chain data (paid)
Whale Alert
Track large transactions (free)
Santiment
On-chain + social metrics (paid)
Dune Analytics
Custom dashboards (free)
💡 On-Chain Golden Rule
Price is opinion, on-chain is truth. Whales manipulate price, but they can't hide their on-chain footprints. Watch exchange flows for selling pressure, active addresses for real adoption, and NVT/MVRV for valuation extremes.
4.6 Long-Term Project Strength
Lesson Objective
Combine everything learned into a comprehensive framework for evaluating long-term project viability. Learn to score projects, identify institutional-quality investments, and avoid projects that won't survive the next bear market.
I. The 5 Pillars of Long-Term Strength
Tokenomics
Supply, distribution, vesting
Supply Model
Inflation, emissions, burns
Development
GitHub, roadmap, delivery
On-Chain
Usage, adoption, whales
Ecosystem
Partnerships, community, integrations
II. Project Scoring Framework (0-100)
| Category | Weight | Bullish (10 pts) | Neutral (5 pts) | Bearish (0 pts) |
|---|---|---|---|---|
| Token Distribution | 15% | Team vesting >3yrs, fair launch | 1-3yr vesting, some concentration | No vesting, team >30% |
| Supply Model | 15% | Fixed supply or deflationary | Controlled inflation (<5%) | Hyperinflationary (>10%) |
| Token Utility | 15% | Multiple utilities, value accrual | Governance only | No real utility |
| Development Activity | 15% | Daily commits, 15+ devs | Weekly commits, 5-15 devs | Inactive GitHub, <5 devs |
| On-Chain Usage | 15% | Growing addresses, high volume | Stable usage | Declining usage |
| Exchange Presence | 10% | Tier 1 listings (Binance, CB) | Tier 2/3 listings only | Small exchanges only |
| Community Strength | 10% | Organic growth, engaged devs | Moderate engagement | Bots, paid shills |
| Partnership Quality | 5% | Technical integrations | Advisors, MOUs | Paid partnerships only |
III. Score Interpretation
80-100
Institutional Quality
Blue chip, core portfolio holding
60-79
Strong Contender
Mid-cap, potential winner
40-59
Speculative
High risk, small position only
0-39
Avoid
Likely to fail this cycle
IV. Case Study: Top-Tier Project (Bitcoin)
Bitcoin Score: 95/100
- Tokenomics: 15/15
- Supply Model: 15/15
- Utility: 12/15
- Development: 15/15
- On-Chain: 15/15
- Exchange Presence: 10/10
- Community: 10/10
- Partnerships: 3/5
Why It Scores High
- ✓ Fixed supply 21M, predictable halvings
- ✓ Fair launch, no team tokens
- ✓ 10+ years of development, 50+ core devs
- ✓ Strongest on-chain metrics, institutional adoption
- ✓ Listed on every major exchange
V. Case Study: Speculative Project
Example Token Score: 52/100
- Tokenomics: 8/15
- Supply Model: 10/15
- Utility: 7/15
- Development: 8/15
- On-Chain: 5/15
- Exchange Presence: 5/10
- Community: 7/10
- Partnerships: 2/5
Risk Factors
- ✗ Team holds 35% with short vesting
- ✗ Governance-only utility, no fees
- ✗ GitHub inactive last 3 months
- ✗ On-chain usage declining 40%
- ⚠️ Only listed on 2 tier-3 exchanges
VI. Practical Exercise: Score This Project
📝 Project: "Layered L2 Protocol"
📊 Fundamentals
- • Total Supply: 1B tokens
- • Team: 15% (4yr vesting)
- • Investors: 20% (2yr vesting)
- • Community: 40% (over 5yrs)
- • Inflation: 3% annually
👨💻 Development
- • GitHub commits: Daily (20+ devs)
- • Mainnet: Live 6 months
- • Active addresses: Up 50% MoM
- • TVL: $500M and growing
🤝 Ecosystem
Listed on Binance, Coinbase. Partnerships with Chainlink, The Graph. 50+ dApps building.
Calculate Your Score:
Tokenomics (0-15):
Supply Model (0-15):
Utility (0-15):
Development (0-15):
On-Chain (0-15):
Exchange (0-10):
Community (0-10):
Partnerships (0-5):
VII. Red Flags That Kill Projects
🚨 Critical Red Flags
- • Team dumping tokens (exchange inflows)
- • No GitHub activity for >3 months
- • 90%+ supply controlled by team/insiders
- • Hyperinflation (>20% annual)
- • No revenue model, no value accrual
⚠️ Warning Signs
- • Marketing > development (tweets over code)
- • Paid influencers shilling
- • Vague "strategic partnerships"
- • Team anonymous with no reputation
- • Unrealistic promises ("100x guaranteed")
VIII. Building a Strong Portfolio
Core (60-70%)
Score 80-100 projects
BTC, ETH, blue chips
Long-term hold
Satellite (20-30%)
Score 60-79 projects
Mid-cap contenders
2-4 year hold
Speculative (5-10%)
Score 40-59 projects
High risk, high reward
Small positions only
💡 Long-Term Investing Golden Rule
Don't fall in love with a project, fall in love with the framework. Markets change, narratives shift, but solid fundamentals survive. Score every project objectively. If the score drops below 60, consider selling regardless of your emotional attachment.
Module 4 Complete!
You've mastered crypto fundamental analysis. You can now evaluate tokenomics, analyze supply models, assess development progress, interpret on-chain data, and score projects for long-term viability.
Module 4: Workshop & Exam
Test your understanding of Fundamental Analysis before moving to Module 5.
⏳ Time Left: 29:08
🛠️ Practical Workshop
TASK 1: Analyze Tokenomics
Find a recent token launch or existing project. Analyze its token distribution, vesting schedule, and utility. Is it fair or skewed toward insiders?
TASK 2: Supply Analysis
Pick any crypto project. Calculate its Market Cap vs FDV. What's the dilution multiple? When are the next unlocks?
TASK 3: Project Scoring
Choose a project you're interested in. Score it using the 8-category framework (0-100). What's its final score and category?
📋 20-Question Exam
Module 4 Complete!
You've mastered crypto fundamental analysis. You can now evaluate tokenomics, analyze supply dynamics, assess development progress, interpret on-chain data, and identify projects with long-term viability.
Key Skills
Tokenomics, supply analysis, on-chain metrics
Applications
Due diligence, portfolio construction, risk assessment
Next Module
Module 5: Sentiment Analysis
Reminder: Education only. No guaranteed profits.