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VERSION 1.2 // 2026-04-02
CHANGELOG
v1.2 2026-04-02 server-side auth, localStorage 30d, agent prompts added
v1.1 2026-03-28 geo filters patched (FOMO v4)
v1.0 2026-03-20 initial release
FOMO Scanner — Wallet Tiers & Signal Thresholds
FOMO SCANNER v4
4-tier smart wallet system. Auto-promotion based on track record. Cluster detection for coordinated whale activity.
TIER_1 (Mega Whales) weight: 3.0x
Fredi9999
RN1
SeriouslySirius
GCottrell93
aenews
ImJustKen
YatSen
bama124
TIER_2 (Kings) weight: 2.0x
50+ wallets
TIER_3 (Diamonds) weight: 1.5x
BGV, Cutnpaste, Erasmus, Eridpnc, Hans, JJo, Logan
TIER_4 (Research) weight: 1.25x
GreekGamblerPM
Jos
AUTO_PROMOTE_MIN_REP = 0.80
AUTO_PROMOTE_MIN_TOTAL = 15
AUTO_PROMOTE_MIN_GOOD = 10
NET_BUY_STRONG = $50,000
NET_BUY_GOOD = $20,000
NET_BUY_MODERATE = $5,000
SPIKE_LARGE = 15%
SPIKE_GOOD = 10%
SPIKE_MODERATE = 5%
CLUSTER_WINDOW = 60s
CLUSTER_TOLERANCE = 10%
MIN_CLUSTER_SIZE = 4
VOL_LIQ_EXTREME = 500
ROUND_TRIP_HIGH = 0.5
CHURN_SUSPICIOUS = 5
SPREAD_WIDE = 0.10
Set up 0xarise FOMO Scanner v4 on my machine.
Repo: https://github.com/0xarise/fomo-scanner
MY CREDENTIALS (fill in):
POLY_API_KEY=[your Polymarket API key]
TG_BOT_TOKEN=[your Telegram bot token]
TG_CHAT_ID=[your Telegram channel/group ID]
CONFIG TO APPLY (config.py):
TIER_1_WALLETS = [Fredi9999, RN1, SeriouslySirius, GCottrell93, aenews, ImJustKen, YatSen, bama124]
TIER_1_WEIGHT = 3.0
TIER_3_WALLETS = [BGV, Cutnpaste, Erasmus, Eridpnc, Hans, JJo, Logan]
TIER_4_WALLETS = [GreekGamblerPM, Jos]
NET_BUY_STRONG = 50000
NET_BUY_GOOD = 20000
NET_BUY_MODERATE = 5000
SPIKE_LARGE = 0.15
SPIKE_GOOD = 0.10
SPIKE_MODERATE = 0.05
CLUSTER_WINDOW = 60
CLUSTER_TOLERANCE = 0.10
MIN_CLUSTER_SIZE = 4
AUTO_PROMOTE_MIN_REP = 0.80
AUTO_PROMOTE_MIN_TOTAL = 15
AUTO_PROMOTE_MIN_GOOD = 10
VOL_LIQ_EXTREME = 500
ROUND_TRIP_HIGH = 0.5
CHURN_SUSPICIOUS = 5
TASKS:
1. Clone repo to ~/fomo-scanner/ (or preferred path)
2. python -m venv venv && source venv/bin/activate
3. pip install -r requirements.txt
4. Create .env with POLY_API_KEY, TG_BOT_TOKEN, TG_CHAT_ID from above
5. Apply all config values above to config.py
6. Test: python -u fomo_scanner.py --dry-run
Expected: scanner initializes, 0 errors, exits cleanly
7. Launch in tmux:
tmux new-session -d -s fomo
tmux send-keys -t fomo "PYTHONPATH=. python -u fomo_scanner.py" Enter
8. Verify: tmux capture-pane -t fomo -p | tail -20
Expected: "FOMO Scanner v4 running..." with scan cycle output
Whale Scanner — Tracking Config
WHALE SCANNER
Tracks top 250 leaderboard wallets + 18 manually curated seed wallets. Alerts on $5K+ position changes.
LEADERBOARD_PAGES = 4
SEED_WALLETS = 18
TRACKED_SIMULTANEOUSLY = 50
MIN_NON_SPORTS_PNL = $500,000
MAX_SPORTS_RATIO = 0.5
MIN_POSITION_USD = $5,000
MIN_DELTA_USD = $5,000
SCAN_INTERVAL = 300s
REQ_DELAY = 1.0s
Set up 0xarise Whale Scanner on my machine.
Repo: https://github.com/0xarise/whale-scanner
MY CREDENTIALS (fill in):
POLY_API_KEY=[your Polymarket API key]
TG_BOT_TOKEN=[your Telegram bot token]
TG_CHAT_ID=[your Telegram channel/group ID]
CONFIG TO APPLY (config.py):
LEADERBOARD_PAGES = 4
SEED_WALLETS_COUNT = 18
TRACKED_SIMULTANEOUSLY = 50
MIN_NON_SPORTS_PNL = 500000
MAX_SPORTS_RATIO = 0.5
MIN_POSITION_USD = 5000
MIN_DELTA_USD = 5000
SCAN_INTERVAL = 300
REQ_DELAY = 1.0
TASKS:
1. Clone repo to ~/whale-scanner/
2. python -m venv venv && source venv/bin/activate
3. pip install -r requirements.txt
4. Create .env with POLY_API_KEY, TG_BOT_TOKEN, TG_CHAT_ID from above
5. Apply config values above to config.py
6. Test: python -u whale_scanner.py --dry-run
Expected: leaderboard fetched, wallets loaded, 0 errors
7. Launch in tmux:
tmux new-session -d -s whale-tracker
tmux send-keys -t whale-tracker "PYTHONPATH=. python -u whale_scanner.py" Enter
8. Verify: tmux capture-pane -t whale-tracker -p | tail -20
Expected: scan cycle with wallet count and next scan timestamp
Contrarian AI — Entry Setup & Scoring
CONTRARIAN AI SCANNER
Finds markets where 89-95%+ consensus might be wrong. Two tiers: T1 auto-alerts, T2 review list. Priority scoring with catalyst detection.
MIN_DOMINANT_PRICE = 0.89
MIN_MODEL_EDGE = 0.05
MIN_EV_PER_USD = 0.05
MIN_VOLUME_USD = $2,500
MAX_SPREAD = 0.10
T1_MIN_DOMINANT = 95%
T1_MAX_HOURS = 72
T1_MIN_VOLUME = $5,000
T1_MIN_CATALYST = 0.50
T2_MIN_DOMINANT = 89%
T2_MAX_HOURS = 336
T2_MIN_VOLUME = $500
SCORE = edge*100 + min(ev,3)*12 + (dominant-0.90)*35
+ min(volume/50000,1.2)*8 + catalyst*25
- risk_flags*6
EARNINGS: 8-10
M_AND_A: 10
MACRO: 10
GEOPOLITICAL: 10
REGULATION: 8
TECH: 5-10
WIDE_SPREAD: >6%
THIN_LIQUIDITY: <$250
LONG_HORIZON: >7 days
WEAK_CATALYST: <35%
MAX_ALERTS_PER_CYCLE = 7
DEDUP_HOURS = 8
DEDUP_COOLDOWN_DAYS = 7
Set up 0xarise Contrarian AI Scanner on my machine.
Repo: https://github.com/0xarise/contrarian-scanner
MY CREDENTIALS (fill in):
POLY_API_KEY=[your Polymarket API key]
TG_BOT_TOKEN=[your Telegram bot token]
TG_CHAT_ID=[your Telegram channel/group ID]
ANTHROPIC_API_KEY=[your Anthropic API key — used for AI scoring]
CONFIG TO APPLY (config.py):
MIN_DOMINANT_PRICE = 0.89
MIN_MODEL_EDGE = 0.05
MIN_EV_PER_USD = 0.05
MIN_VOLUME_USD = 2500
MAX_SPREAD = 0.10
T1_MIN_DOMINANT = 0.95
T1_MAX_HOURS = 72
T1_MIN_VOLUME = 5000
T1_MIN_CATALYST = 0.50
T2_MIN_DOMINANT = 0.89
T2_MAX_HOURS = 336
T2_MIN_VOLUME = 500
MAX_ALERTS_PER_CYCLE = 7
DEDUP_HOURS = 8
DEDUP_COOLDOWN_DAYS = 7
TASKS:
1. Clone repo to ~/contrarian-scanner/
2. python -m venv venv && source venv/bin/activate
3. pip install -r requirements.txt
4. Create .env with all credentials above
5. Apply config values to config.py
6. Test: python -u contrarian_scanner.py --dry-run
Expected: markets scanned, scoring runs, 0 errors, no TG messages sent
7. Launch in tmux:
tmux new-session -d -s contrarian
tmux send-keys -t contrarian "PYTHONPATH=. python -u contrarian_scanner.py" Enter
8. Verify: tmux capture-pane -t contrarian -p | tail -20
Expected: cycle output with T1/T2 counts and next scan time