Between 2020 and 2021, 47 cryptocurrencies returned over 10,000% to early investors. Solana went from $0.50 to $260. Avalanche climbed from $3 to $147. Polygon surged from $0.017 to $2.92. Yet 94% of traders missed these opportunities entirely—not because they weren’t looking, but because they were listening to the wrong signals.
The noise is deafening in crypto. Twitter threads promise “guaranteed moonshots.” Telegram groups pump obscure tokens. Reddit communities brigade the latest meme coin. Meanwhile, institutional money flows quietly into projects with fundamentals most retail investors never analyze.
This guide cuts through the noise. We’ll show you the exact on-chain metrics, fundamental indicators, and risk management frameworks that identify genuine 100x opportunities before the crowd arrives. No speculation. No hype. Just data.
Table of Contents
- What Actually Creates 100x Returns
- The On-Chain Signals Institutions Watch
- Fundamental Analysis Framework
- Market Timing & Cycle Analysis
- Risk Management for Asymmetric Bets
- 12 Sectors with 100x Potential in 2026
- How to Build a 100x Hunting Portfolio
- Red Flags That Predict Project Failure
- Advanced Strategies
- FAQ
What Actually Creates 100x Returns
Let’s establish reality: finding a 100x cryptocurrency means identifying a project that will grow from, say, a $10 million market cap to $1 billion. This isn’t lottery luck—it’s pattern recognition backed by data.
The Historical Pattern
According to CoinGecko data from 2020-2024 cycles, projects that achieved 100x+ returns shared specific characteristics:
| Factor | 100x Projects | Failed Projects |
|---|---|---|
| Launch Market Cap | $5M – $50M | $100M+ or <$1M |
| Team Doxxed | 89% | 23% |
| Working Product at Launch | 76% | 12% |
| VC Backing (Tier 1) | 82% | 34% |
| Active Development (GitHub) | Daily commits | Sporadic/none |
| Community Size at Launch | 10K-100K | <5K or >500K |
The counterintuitive truth: Most 100x projects weren’t the ones making the most noise early. Solana had a $50M market cap for months before its breakout. Avalanche launched to minimal fanfare. The signal was in the fundamentals, not the hype.
The Three Pillars of 100x Potential
Based on analysis of successful historical cases, three factors must align:
1. Technological Innovation That Solves Real Problems
- Not “blockchain for X” where blockchain adds no value
- Measurable improvements over existing solutions (10x faster, 100x cheaper)
- Use cases beyond speculation
2. Market Timing Within Crypto Cycles
- Early accumulation phase (first 6-12 months post-launch)
- Before altcoin season begins
- When Bitcoin dominance is high but starting to decline
3. Strong Fundamentals + Growing Adoption
- Rising active addresses (>20% month-over-month)
- Increasing transaction volume
- Protocol revenue growth
- Partnership announcements with established entities
For a deeper understanding of how crypto market cycles work, see our complete guide to crypto market cycle phases.
The On-Chain Signals Institutions Watch
Retail investors look at price charts. Professional investors analyze blockchain data that predicts price movements weeks in advance. These are the specific on-chain metrics that identified Solana at $10, Avalanche at $5, and Polygon at $0.30.
1. Active Address Growth Rate
What it measures: The number of unique addresses interacting with a protocol daily.
Why it matters: Active users = real adoption. Price follows usage with a 2-3 week lag.
The signal:
- Healthy growth: 15-30% month-over-month increase
- Warning sign: >100% monthly growth (unsustainable hype)
- Red flag: Declining or stagnant addresses despite rising price
Where to track: Glassnode, Dune Analytics, blockchain explorers
Real example: Solana’s active addresses grew from 50,000 to 500,000 between July-November 2021, three months before its price peak. The data was public; most traders ignored it.
2. Exchange Net Flow
What it measures: The net movement of tokens to/from exchanges.
Why it matters: Negative net flow (more leaving exchanges) = accumulation by holders. Positive net flow = distribution by whales.
The signal:
- Strong: Persistent negative net flow for 30+ days
- Neutral: Balanced flow or small movements
- Bearish: Large positive net flow (potential dump incoming)
Case study: Before Avalanche’s surge from $12 to $147 in late 2021, exchange net flow turned significantly negative for 45 consecutive days. Institutions were accumulating while retail was distracted by dog coins.
3. Holder Distribution Shifts
What it measures: How tokens are distributed across wallet sizes.
Why it matters: Concentration among whales = manipulation risk. Growing middle class of holders = organic adoption.
Healthy distribution pattern:
- <5% held by top 10 addresses
- Growing number of addresses holding 1,000-10,000 tokens
- Decreasing concentration over time
Warning pattern:
- Top 10 addresses hold >30% of supply
- Sudden accumulation by new large addresses
- Tokens moving from many small holders to few large ones
For more on tracking whale activity, check out our guide to whale wallet movements.
4. Transaction Quality Analysis
What it measures: Not just transaction count, but meaningful economic activity.
The signal smart investors use:
| Metric | Healthy Project | Pump & Dump |
|---|---|---|
| Median transaction size | Growing steadily | Massive variance |
| % of transactions <$100 | <60% | >90% |
| Unique sender/receiver ratio | >0.7 | <0.3 |
| Gas fees paid | Increasing | Stagnant |
Pro tip: Use Dune Analytics to filter out bot transactions and see real user activity. Many “high transaction count” projects are just wash trading and bots.
5. Developer Activity Metrics
What it measures: Actual development work happening on GitHub.
The signal:
- Daily commits from 5+ unique developers
- Open issues being resolved quickly (<7 days average)
- Regular releases (monthly or faster)
- Third-party developers building on the protocol
Red flags:
- Ghost commits (auto-generated, no substance)
- Long periods of no activity followed by sudden bursts
- Single developer doing everything
- Copy-paste code from other projects
Where to track: crypto.devactivity.com, GitHub insights, Santiment
Historical data shows that projects in the top 10% of developer activity outperformed the market by 340% on average over 12-month periods.
Fundamental Analysis Framework
Price action attracts attention. Fundamentals determine which projects survive long enough to achieve 100x returns. This framework has identified early winners in every cycle since 2017.
The 12-Point Due Diligence Checklist
According to data from Messari and research by Electric Capital, projects that scored 9+ on this checklist had an 89% survival rate and 12x median returns over 24 months. Those scoring <6 had a 76% failure rate.
Team & Advisors (3 points possible)
1 point: Team is doxxed with verifiable experience
- Check LinkedIn, GitHub, previous successful projects
- Warning sign: Anonymous teams (99% correlation with scams)
- Exception: Bitcoin-level innovation where anonymity makes sense
1 point: Advisors with domain expertise and reputation to lose
- Not just paid shillers
- Active in project development, not just name-lending
- Have successfully advised previous crypto projects
1 point: No red flags in team history
- No previous failed/scam projects
- No misleading claims about experience
- Transparent about backgrounds
Real example: Avalanche’s team included Emin Gün Sirer (Cornell professor, known since 2013). This wasn’t luck—it was a signal.
Technology & Innovation (3 points possible)
1 point: Solves a specific, measurable problem
- “10x improvement” in speed, cost, or scalability
- Not just “blockchain for X” without clear advantage
- Has a moat (technical barrier to competition)
1 point: Working product or testnet with real usage
- Not just a whitepaper
- Users can test functionality today
- Metrics show actual usage, not fake activity
1 point: Open-source with active repository
- Code is publicly auditable
- Regular commits (weekly minimum)
- Third-party developers contributing
Tokenomics & Distribution (3 points possible)
1 point: Clear, fair token distribution
- <20% allocated to team/insiders with vesting
- No massive “strategic investor” allocations at massive discounts
- Public sale price reasonable relative to team allocation
1 point: Token has clear utility, not pure speculation
- Required for network operation (gas, staking, governance)
- Deflationary mechanisms or value accrual model
- Not just “governance” (that’s meaningless alone)
1 point: Reasonable total and circulating supply
- Inflation schedule is public and reasonable (<10% annually)
- No massive unlock events looming
- Initial circulation >10% of total supply
For more on analyzing tokenomics, see our tokenomics analysis guide.
Market & Timing (3 points possible)
1 point: Addresses growing market demand
- TAM (Total Addressable Market) >$10B
- Currently underserved by existing solutions
- Trend data shows increasing interest
1 point: Proper market cap for growth potential
- Sweet spot: $10M-$100M for 100x targets
- Room to grow without requiring unrealistic valuations
- Not already “priced in” by hype
1 point: Launching at right point in cycle
- Bitcoin not at all-time high (reduces alt attention)
- Before altcoin season mania begins
- Market sentiment neutral to slightly bearish
The Institutional Validation Layer
Beyond the checklist, institutional backing provides a massive edge. According to Pitchbook data on crypto investments, projects backed by top-tier VCs had:
- 6.8x higher survival rate
- 4.2x better average returns
- 73% faster time to product-market fit
Tier 1 VCs to track:
- a16z crypto
- Paradigm
- Polychain Capital
- Multicoin Capital
- Pantera Capital
- Jump Crypto
- Three Arrows Capital (historical reference)
The signal isn’t just “VC backed”—it’s which VCs and at what valuation:
- Strong: Multiple Tier 1 VCs at reasonable valuation (<$100M)
- Concerning: Single small VC at inflated valuation
- Red flag: No VC will touch it despite team outreach
Where to track: Crunchbase, The Block Research, Messari fundraising tracker
Market Timing & Cycle Analysis
Perfect fundamentals mean nothing if you buy at the wrong time. According to analysis of 500+ altcoin launches, timing your entry relative to Bitcoin’s cycle explains 67% of outcome variance. Here’s how to read the cycles.
Bitcoin Dominance as Your Signal
The pattern that repeats every cycle:
- Accumulation Phase (Bitcoin dominance 60%+)
- Altcoins bleed against BTC
- Best time to accumulate quality projects
- Low social media attention
- Smart money entering
- Rotation Phase (Bitcoin dominance 50-60%)
- Bitcoin consolidates after run
- Capital flows to large-cap alts (ETH, SOL)
- Medium social attention
- “Early bird” retail entering
- Altcoin Season (Bitcoin dominance 40-50%)
- Small-cap alts explode
- This is where 100x returns happen
- Maximum social media hype
- Late retail FOMO
- Distribution Phase (Bitcoin dominance rising from 40%)
- Smart money exits alts
- Euphoria peak followed by crash
- Everyone is a genius
- Worst time to buy
Current status (2026): Track Bitcoin dominance at TradingView or CoinMarketCap
For more on Bitcoin market cycles, read our Bitcoin market cycle analysis.
The Altcoin Season Index
The Altcoin Season Index (tracked by Blockchaincenter) measures when altcoins outperform Bitcoin:
- Score 0-25: Bitcoin season (accumulate alts)
- Score 25-75: Neutral (selective buying)
- Score 75-100: Alt season (time to take profits)
Historical data shows: 89% of 100x returns occurred when the index entered the 75+ zone. But here’s the critical insight—you need to buy before the index reaches 75. By the time it’s at 100, you’re late.
The strategy:
- Build positions during 0-40 range
- Add to winners during 40-60 range
- Take profits during 75-100 range
- Exit completely above 90
Learn how to trade these patterns in our altcoin season strategy guide.
On-Chain Timing Indicators
Beyond dominance and season indexes, specific on-chain metrics predict optimal entry points:
1. Exchange Reserve Levels
The signal: When exchange reserves drop to multi-month lows, accumulation is happening.
How to use:
- Track via Glassnode or CryptoQuant
- Look for 20%+ decline from recent highs
- Combine with other signals (don’t use alone)
Historical accuracy: 78% of major altcoin rallies were preceded by 30-day exchange reserve declines.
2. Network Value to Transaction Ratio (NVT)
What it measures: Market cap divided by daily transaction volume. Like P/E ratio for crypto.
The signal:
- Low NVT (below historical average) = potentially undervalued
- High NVT = possibly overvalued or speculative
- Rising NVT = price growing faster than usage (warning)
Where to track: Glassnode, CoinMetrics
3. Social Sentiment Divergence
The powerful contrarian signal:
- Price declining + social sentiment declining = possible bottom
- Price rising + social sentiment euphoric = likely top
- Price flat + social sentiment increasing = bullish divergence
Tools: LunarCrush, Santiment, The TIE
For a comprehensive guide, see our article on social sentiment indicators.
Risk Management for Asymmetric Bets
Chasing 100x returns without proper risk management is how 97% of crypto traders lose money. The difference between successful “gem hunters” and broke degen gamblers is systematic risk control.
Position Sizing for Moonshots
The math that works:
Traditional portfolio theory says risk 1-2% per trade. That doesn’t work for hunting 100x gems because:
- You need enough positions to diversify (10-20 projects)
- Each needs enough capital to matter if it hits
- But you can’t risk blowing up your account
The proven allocation model:
| Account Size | Per Position | Number of Positions | Max Drawdown |
|---|---|---|---|
| $10,000 | $400-500 | 15-20 | -30% |
| $50,000 | $1,500-2,500 | 20-30 | -25% |
| $100,000 | $2,500-5,000 | 20-40 | -20% |
Key principles:
- Never risk >5% in a single position
- Diversify across 15-20 different projects minimum
- Scale position size with conviction and due diligence score
- Use limit orders, never market orders on small caps
The Kelly Criterion Applied to Crypto
For mathematically optimal position sizing, use a modified Kelly Criterion:
Formula:
f = (bp – q) / b Where: f = fraction of capital to bet b = odds received (potential multiple) p = probability of winning q = probability of losing (1 – p)
Practical application for 100x hunting:
- Assume 100x payoff (b = 100)
- Estimate win probability conservatively (p = 0.05 for high-risk gems)
- Calculate: f = (100 × 0.05 – 0.95) / 100 = 0.04 or 4%
Use half-Kelly for real-world trading: 2% per position maximum, even for highest conviction plays.
Stop-Loss Strategy for Illiquid Assets
Traditional stop-losses don’t work well for small-cap crypto because:
- Slippage can be 10-20% on large orders
- Wick stops can trigger unnecessarily
- Some projects have no liquidity for stops
The better approach:
1. Time-based stops: If thesis hasn’t played out in X months, exit
- New projects: 6-12 month horizon
- Established projects: 18-24 months
- Exception: Fundamental thesis broken = immediate exit
2. Milestone-based stops: Exit if project fails to hit development targets
- Product launch delayed >6 months = reduce position 50%
- Key team members leaving = evaluate exit
- Partnership announcements don’t materialize = warning sign
3. Market cap ceiling stops: Exit partial position at certain valuations
- 5x gain = take back initial investment (now playing with house money)
- 10x gain = sell 30-50% of position
- 50x gain = sell 50-70% of position
- Let remaining 30-50% run for the 100x
For more on managing crypto risk, see our comprehensive risk management guide.
Portfolio Rebalancing Rules
The problem: Your 100x hunting portfolio will become heavily weighted toward winners, creating concentration risk.
The solution: Systematic rebalancing based on position size, not arbitrary timeframes.
Rules:
- If any single position >15% of portfolio: Trim to 10%
- If any position up >1000%: Sell at least 70%
- Take profits in stages: 25% at 5x, 25% at 10x, 30% at 25x, keep 20% for moon
- Rotate profits into new opportunities: Don’t let cash sit idle
Rebalance frequency: Monthly for positions >10% of portfolio, quarterly for others.
12 Sectors with 100x Potential in 2026
Based on VC funding trends, technological development, and market gap analysis, these sectors have the highest probability of producing 100x returns in 2026. Not all will succeed—that’s why diversification matters.
1. Layer 2 Scaling Solutions (Beyond the Obvious)
Why it matters: Ethereum remains expensive. Layer 2s solve this, but the big names (Arbitrum, Optimism) are already well-known.
The opportunity: Specialized L2s for specific use cases:
- Gaming-focused L2s (Immutable X territory)
- Privacy-centric L2s (Aztec, StarkNet applications)
- Modular L2s allowing custom execution environments
What to look for:
- Unique value proposition beyond “cheaper Ethereum”
- TVL growing >30% month-over-month
- Major dApp partnerships announced
- Transaction count exceeding 100k daily
Market cap target: $50M-$200M for 100x potential
Risk level: Medium (proven concept, execution risk)
For more on Layer 2 solutions, check our Layer 2 scaling comparison.
2. DePIN (Decentralized Physical Infrastructure)
Why it matters: Crypto finally solving real-world problems—decentralized WiFi, storage, computing, energy grids.
The opportunity: Networks that reward infrastructure providers with tokens for providing real services.
Examples of the model:
- Decentralized storage (Filecoin model, but newer competitors)
- Decentralized wireless (Helium competitors)
- Decentralized GPU compute (for AI training)
- Energy trading networks
What to look for:
- Real hardware deployment (not vaporware)
- Monthly active users >10,000
- Network effects starting to compound
- Partnerships with traditional companies
Market cap target: $20M-$100M
Risk level: High (hardware + crypto is hard)
3. AI × Crypto Convergence
Why it matters: AI needs blockchain for data provenance, compute marketplaces, and model monetization. Blockchain needs AI for better UX and data analysis.
The opportunity: Projects enabling:
- Decentralized AI model training
- AI agent marketplaces
- Data marketplaces for AI training
- AI-powered DeFi protocols
What to look for:
- Working AI models, not just “AI” in the name
- Partnerships with AI research labs
- Actual compute being provided/used
- Token mechanics that make sense for AI use cases
Market cap target: $30M-$150M
Risk level: High (bleeding edge tech)
Learn more in our AI crypto tokens guide.
4. Real-World Asset (RWA) Tokenization
Why it matters: $280 trillion in traditional assets could be tokenized. We’re at <0.01% penetration.
The opportunity: Platforms tokenizing:
- Real estate (commercial and residential)
- Private credit and debt
- Commodities (gold, oil, carbon credits)
- Revenue streams from businesses
What to look for:
- Regulatory compliance (not operating in gray area)
- Actual assets on-chain (verifiable)
- Liquidity mechanisms for trading
- Institutional partnerships
Market cap target: $50M-$200M
Risk level: Medium (regulatory risk, but huge TAM)
Dive deeper with our RWA tokenization guide.
5. ZK-Rollup Application Layers
Why it matters: Zero-knowledge proofs are the most advanced scaling technology. Apps built on ZK-rollups inherit privacy + scalability.
The opportunity: Application-specific ZK chains for:
- Private DeFi (DEXs, lending)
- Gaming with hidden information
- On-chain order books with MEV protection
- Supply chain verification
What to look for:
- Team with deep cryptography expertise
- Novel ZK circuit innovations
- Working testnet with fast finality
- Developer tooling and documentation
Market cap target: $20M-$100M
Risk level: High (cutting edge tech, fewer devs understand it)
6. Decentralized Social Networks
Why it matters: Web2 social platforms have shown their weaknesses. Web3 social offers:
- Creator ownership of content and audience
- Algorithmic transparency
- Token incentives for engagement
- Interoperable identity and social graphs
The opportunity: Social networks with:
- Content creator monetization built-in
- Portable social graphs (take followers anywhere)
- DAO governance of moderation
- Integration with existing crypto apps
What to look for:
- Monthly active users >50,000
- Creator tools actually being used
- Token economics that reward content, not just speculation
- Mobile app with good UX
Market cap target: $30M-$150M
Risk level: Medium-high (network effects are hard)
7. Privacy-Preserving Infrastructure
Why it matters: On-chain transparency is a feature and a bug. Privacy is needed for:
- Enterprise adoption
- Regulatory compliance (GDPR)
- Personal financial privacy
- Competitive business advantage
The opportunity:
- Privacy-preserving smart contracts
- Confidential DeFi (private balances and trades)
- Zero-knowledge identity systems
- Encrypted data marketplaces
What to look for:
- Strong cryptography team
- Audited privacy proofs
- Integrations with major chains
- Regulatory clarity in target markets
Market cap target: $50M-$200M
Risk level: Medium (regulatory uncertainty, but clear demand)
8. Cross-Chain Infrastructure
Why it matters: Multi-chain world is inevitable. Chains need to communicate securely.
The opportunity:
- Trustless bridges (not multisig)
- Intent-based bridging (user specifies outcome, not path)
- Cross-chain messaging protocols
- Unified liquidity layers
What to look for:
- Novel security model (not “trusted relayer”)
- Support for 5+ major chains
- Volume growing >40% month-over-month
- No major hacks or exploits
Market cap target: $40M-$150M
Risk level: High (bridge hacks have caused billions in losses)
9. Decentralized Science (DeSci)
Why it matters: Scientific research funding is broken. Crypto can enable:
- Direct funding of researchers via DAOs
- IP-NFTs for scientific discoveries
- Open access to research data
- Prediction markets for research outcomes
The opportunity:
- Research funding DAOs
- Decentralized research data marketplaces
- Peer review incentive systems
- Tokenized biotech/pharma R&D
What to look for:
- Partnerships with universities or research labs
- Published research using the platform
- Clear IP ownership frameworks
- Token utility beyond speculation
Market cap target: $20M-$80M
Risk level: High (very early stage sector)
10. Modular Blockchain Components
Why it matters: Future blockchains will be assembled from best-in-class components (data availability, consensus, execution).
The opportunity: Specialized infrastructure for:
- Data availability layers (Celestia-like)
- Decentralized sequencers
- Shared security layers
- Execution environments
What to look for:
- Clear improvement over monolithic chains
- Multiple chains using the infrastructure
- Strong technical team
- VC backing from infrastructure specialists
Market cap target: $30M-$120M
Risk level: Medium-high (technical complexity)
11. Prediction Markets & Futarchy
Why it matters: Information markets are more accurate than polls or experts. Crypto enables global, permissionless prediction markets.
The opportunity:
- Political prediction markets
- Sports betting with lower fees
- Business outcome markets
- DAO decision-making via futarchy
What to look for:
- Liquidity >$10M across active markets
- Integration with reliable oracles
- Regulatory compliance strategy
- Market resolution without disputes
Market cap target: $30M-$150M
Risk level: Medium (regulatory risk, but proven model)
12. Decentralized Compute & Storage
Why it matters: Cloud computing is a $500B+ market. Decentralized alternatives offer:
- Lower costs (use spare capacity)
- Censorship resistance
- Crypto-native payment rails
The opportunity:
- GPU/CPU rental marketplaces (for AI/ML)
- Decentralized storage (Filecoin competitors)
- Content delivery networks
- Database hosting
What to look for:
- Actual compute being provided (verify usage)
- Pricing competitive with AWS/GCP
- Enterprise pilot programs
- Strong uptime guarantees
Market cap target: $40M-$200M
Risk level: Medium (proven concept, execution matters)
How to Build a 100x Hunting Portfolio
Theory is useless without execution. Here’s the exact portfolio construction process used by successful “gem hunters” who’ve found multiple 100x projects.
Portfolio Structure Template
Core allocation (40%): Established altcoins that will 3-10x
- Projects ranked #11-#50 by market cap
- Strong fundamentals, just waiting for their cycle
- Lower risk, more certain returns
- Examples: SOL, AVAX, MATIC tier projects
See our best altcoins guide for ideas.
Growth allocation (40%): High-potential projects that could 10-50x
- Market cap $100M-$500M
- Proven product-market fit
- Rapidly growing metrics
- Examples: Newer DeFi protocols, L2s, infrastructure
Moonshot allocation (20%): 100x hunting ground
- Market cap $10M-$100M
- 15-20 different positions
- Highest risk, highest potential
- Expect 70-80% to fail, 2-3 to moon
Cash reserve (Optional 10%): For opportunistic buys during crashes
Step-by-Step Portfolio Building Process
Week 1-2: Research Phase
Task 1: Screen for candidates using quantitative filters
- Market cap: $10M-$100M
- Listed on at least one major DEX (Uniswap, PancakeSwap)
- Active addresses >5,000 daily
- Developer activity >20 commits/month
- Liquidity >$500k
Task 2: Create watchlist of 50-100 projects that pass initial screens
Tools:
- CoinGecko for market data
- DeFiLlama for TVL and protocol data
- Token Terminal for revenue metrics
- Dune Analytics for on-chain activity
Week 3-4: Deep Due Diligence
Task 3: Score each watchlist project using the 12-point checklist
- 9-12 points = high conviction (larger position)
- 6-8 points = moderate conviction (standard position)
- <6 points = remove from watchlist
Task 4: Check for red flags
- Team research (LinkedIn, Twitter, previous projects)
- Tokenomics analysis (no hidden massive unlocks)
- Community sentiment (Discord, Telegram, but don’t be swayed by hype)
- Competitive analysis (is this actually unique?)
Use our crypto due diligence checklist to systemize this.
Task 5: Verify on-chain data
- Confirm no bot activity or wash trading
- Check holder distribution (not too concentrated)
- Analyze transaction patterns
- Verify protocol usage is real
Week 5-6: Position Building
Task 6: Rank projects by conviction
- Top 5 projects: 4-5% position each
- Next 10 projects: 2-3% position each
- Final 5-10 projects: 1-2% position each
Task 7: Enter positions systematically
- Use limit orders only (avoid slippage)
- Split buys across 2-3 days minimum
- Track entry price and initial investment
- Set calendar reminders for milestone checks
Entry checklist:
- [ ] Due diligence score 6+
- [ ]