Two products.
One edge.

CrowdPulse reads the crowd's emotional state across 81,000 retail traders in real time. alex_debias converts that reading into a quantitative investment strategy on eToro.

PRODUCT 01

CrowdPulse

A real-time crowd sentiment dashboard that surfaces what 81,000+ eToro retail traders are doing — and more importantly, what that means for each instrument.

CrowdPulse ingests daily open-position snapshots from eToro's network, computing per-instrument participation rates, crowd concentration, directional bias, and FOMO velocity. These crowd_signal metrics become the single source of truth for behavioural signal generation.

Per-instrument crowd sentiment: long/short ratio, participation rate, concentration score
FOMO velocity indicator — abnormal participation ramp as a contrarian signal
Daily snapshot ingestion with incremental deduplication logic
Cross-instrument correlation and crowd rotation tracking
Accessible via secure login portal with partner access tiers
CROWDPULSE DASHBOARD
Crowd Signal · Top Instruments
TSLA
82%
BTC/USD
74%
AAPL
61%
NVDA
67%
ETH/USD
55%
SPY
43%
81K+
Traders
Daily
Snapshot
15K+
Instruments
PRODUCT 02

alex_debias

A quantitative PM strategy on eToro that constructs positions counter to the crowd's documented cognitive biases — extracting the premium in retail investors' systematic errors.

Rather than following the crowd, alex_debias identifies when crowd behaviour is being driven by measurable irrational patterns — loss aversion, herd mentality, FOMO — and takes contrarian positions sized by signal confidence.

Bias-counter position construction using CrowdPulse crowd_signal data
Performance attribution separating skill from crowd-flow alpha
Real-time portfolio tracking via PM Console login portal
Auditable eToro track record — independently verifiable returns
Copy-available on eToro with configurable investor parameters
[YTD]%
Year-to-date return
[Sharpe]
Sharpe ratio
[Max DD]%
Max drawdown
[Win%]%
Win rate

Performance figures sourced from verified eToro track record.

Signal Logic — Simplified
1
Read crowd_signal
CrowdPulse detects abnormal participation velocity on instrument
2
Identify bias pattern
BiasBro classifies the behavioural driver: FOMO, herd, panic
3
Score confidence
ML model assigns signal strength based on historical precedent
4
Construct position
Counter-bias position sized by confidence and liquidity constraints
5
Monitor & exit
Exit triggered when crowd reversal signal fires or time stop hit