Wallet Management

WALLET SCANNER

Identify, grade, and replicate smart money movements. System active.

+0

0

Wallets Tracked

Active

0

Monitored

Live

$0

Total Profit

High

0

Avg Entry Score

Queue 0

Queue Idle

Live Operations Phase 0 / 5

Scanner Idle

Waiting for the next wallet scan

0x... manual

Currently Scanning

0s

Elapsed

TX Fetch 10%

TX Fetch

Swaps

Enrich

Grade

Done

Tokens Found

0

Priced

0

Scored

0

-

Emerging Grade 0

Notable Finds

None yet

Activity

No activity

Last Scan 2m 45s ago

Next Scan 00:59

Discovered Wallets

Wallets matching your strategy criteria.

Loading wallets...

Activity Feed

Live

No recent activity

Queue

0

Queue empty

Strategy-First Scoring System

🎯 The Copy Trading Strategy (Fixed)

1. Entry

Copy buy immediately when the wallet buys

2. Exit @ 2x

Sell 50% at 2x price = Risk-Free Ride

3. Let Runners Run

Remaining 50% rides for potential moonshots

We score wallets on how well they provide setups for OUR strategy, not on their own trading skill. A wallet with bad exits but great entries is perfect for copy trading.

🎯

Free Roll Rate (35%)

What % of their buys hit 2x from entry? This is the core metric.

If 80% of trades hit 2x, you almost never lose principal

You sell 50% at 2x, get your money back, and ride free.

🚀

Runner Value (30%)

For tokens that HIT 2x, what's the average peak? This is your upside.

10x+ avg = Finding moonshots

Your "free" 50% runner has massive upside potential.

⚡

Entry Timing (15%)

How early do they buy after token launch?

<15 mins = Sniper

Earlier entries = better risk/reward ratio.

🏆

Track Record (10%)

Total number of 2x+ successful trades.

10+ hits = Proven performer

Filters out lucky one-hit wonders.

🛡️

Rug Immunity (10%)

% of trades that DON'T rug before hitting 2x. A "rug" = token drops 90%+ from entry without ever hitting 2x.

<10% rug rate = Safe | >25% = Caution

Rugged trades = you never hit 2x, so you lose 100% of that trade.

How Wallet Scoring Works

🔍 The Full Pipeline

Every wallet goes through 6 stages: discovery → transaction fetching → data enrichment → trade simulation → scoring → grading. The result is a score (0-100) and grade (A+ through F) that estimates how this wallet would perform if copy-traded.

Data Pipeline

🔎 1. Discovery

Scans trending tokens on DexScreener, identifies early traders, filters out bots. You can also add wallets manually.

📥 2. TX Fetching

Token transfers fetched from Blockscout for the last 180 days. Each token traded is identified with entry price and timing.

💎 3. Enrichment

For each token: entry price, post-buy peak, and current price from DexScreener/GeckoTerminal. The peak is the highest price on or after the day the wallet bought — runs that happened before their entry don't count toward their score.

🎯 4. Trade Simulation

Using those 3 data points, we simulate what would happen if you copy-traded this wallet with the Fibonacci sell strategy + stop-losses. Click the (?) icon in the trade analysis table to see exit statuses (Moon, Free Roll, Stop-Loss, Trail Stop, Holding, Rugged).

5. Scoring Components

Free Roll Rate

% of tokens that hit 2x — recovering initial investment.

Runner Value

Average peak multiple for 2x+ tokens. Upside potential.

Entry Timing

How early vs token launch. Earlier = higher conviction.

Track Record

Total analyzed trades. More data = more confidence.

Rug Immunity

Inverse of rug rate. Lower rug rate = higher score.

Final Grade

Weighted combination → A+ through F letter grade.

🏷️ Data Quality Flags

✓ Good

Clean data, all 3 price points valid. Counts toward scoring.

⚠️ Suspicious

Peak > 1000x, capped at 10,000x. Usually manipulation wicks. Excluded from scoring by default.

❌ Invalid

Entry price too small or missing. Excluded from scoring.

🔍 No Data / Low Volume

Token not found in price APIs or volume below threshold.

Note: Scoring uses limited historical data (3 price points per token). Results are estimates — actual copy-trade performance will differ due to timing, slippage, and real-time price movements. Use scores to identify promising wallets, then validate with copy trade simulation.

Menu

WALLET SCANNER

Discovered Wallets

Wallet Details

Activity Feed

Queue

Favorites

Recently Added

Analytics

SCANNER TERMINAL

Send Feedback

Confirm

Menu

WALLET SCANNER

Discovered Wallets

Wallet Details

Activity Feed

Queue

Favorites

Recently Added

Analytics

SCANNER TERMINAL

Trade Analysis

Manually Add Wallet

Admin: Backup & Restore

Scanner Settings

Timing

Discovery Limits

Token Filters

Trader Filters

Grading

High-Frequency Trader Detection

Data Quality

PNL Calculation Methods

Auto-Start Services

Maintenance

Strategy-First Scoring System

🎯 The Copy Trading Strategy (Fixed)

Free Roll Rate (35%)

Runner Value (30%)

Entry Timing (15%)

Track Record (10%)

Rug Immunity (10%)

How PNL is Calculated

📊 $100 Normalized Entries

Two Exit Strategies Compared

📊 Fibonacci Laddering

🎯 Trailing Stop

📈 Example: Token hits 10x peak, currently at 5x

🔍 Data Quality Indicators

Scoring Coverage Breakdown

How Wallet Scoring Works

🔍 The Full Pipeline

Data Pipeline

🔎 1. Discovery

📥 2. TX Fetching

💎 3. Enrichment

🎯 4. Trade Simulation

5. Scoring Components

Free Roll Rate

Runner Value

Entry Timing

Track Record

Rug Immunity

Final Grade

🏷️ Data Quality Flags

Send Feedback