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Jeff Emmett 0dc3c41111 Add analysis notebooks: CV, treasury, and mechanism post-mortem
Notebook 02 (Conviction Voting):
- Funding distribution, beneficiary concentration
- Voter participation (Gini=0.843, top 10=65% of stake)
- Proposal lifecycle and conviction dynamics
- Governance throughput timeline

Notebook 03 (Treasury & Pools):
- Common pool and reserve pool balance tracking
- Monthly inflow/outflow analysis
- Post-migration USD valuations
- Reserve ratio and pool composition

Notebook 04 (Mechanism Post-Mortem):
- ABC → Common Pool → CV feedback loop sustainability
- Death spiral hypothesis (market/treasury/governance correlation)
- CV parameter stress test (spending limit, request sizes)
- Mechanism design scorecard

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 13:13:58 -07:00
data Initial repo structure for TEC token dynamics analysis 2026-04-03 12:20:46 -07:00
notebooks Add analysis notebooks: CV, treasury, and mechanism post-mortem 2026-04-03 13:13:58 -07:00
references Add data sources reference and on-chain data collection notebook 2026-04-03 12:29:22 -07:00
src Add conviction voting data and Dune pool balance exports 2026-04-03 13:05:36 -07:00
.gitignore Initial repo structure for TEC token dynamics analysis 2026-04-03 12:20:46 -07:00
README.md Initial repo structure for TEC token dynamics analysis 2026-04-03 12:20:46 -07:00
requirements.txt Initial repo structure for TEC token dynamics analysis 2026-04-03 12:20:46 -07:00

README.md

TEC Analysis

Analysis of the Token Engineering Commons (TEC) token dynamics, focusing on:

  • Augmented Bonding Curve (ABC) — primary market pricing, reserve ratio mechanics, entry/exit tribute
  • Conviction Voting — proposal funding, signal dynamics, effective supply
  • Primary vs Secondary Market — price divergence, arbitrage flows, liquidity depth
  • Token Distribution & Governance — holder concentration, voting power, delegation patterns

Structure

TEC-analysis/
├── data/
│   ├── onchain/         # On-chain data exports (ABC txns, CV proposals, token transfers)
│   ├── offchain/        # Off-chain data (forum posts, governance metadata)
│   └── snapshots/       # Point-in-time snapshots of key metrics
├── notebooks/           # Jupyter analysis notebooks
├── src/
│   ├── abc/             # Augmented Bonding Curve models & analysis
│   ├── conviction_voting/  # Conviction Voting analysis
│   ├── liquidity/       # Liquidity & market structure analysis
│   └── utils/           # Shared data fetching, plotting, helpers
├── docs/                # Write-ups, methodology notes
└── references/          # Papers, specs, prior work

Key Questions

  1. ABC Mechanics: How has the bonding curve price tracked vs secondary market (Uniswap/Honeyswap)? What's the effective reserve ratio over time?
  2. Entry/Exit Tribute: How much value has flowed through tributes? Impact on buy/sell asymmetry?
  3. Conviction Voting Dynamics: How does token lockup in CV affect circulating supply and price? What's the effective participation rate?
  4. Liquidity Fragmentation: How deep is liquidity across primary (ABC) vs secondary markets? Where do large trades actually execute?
  5. Price Discovery: Which market leads price discovery — the bonding curve or secondary DEXes?
  6. Governance Concentration: How concentrated is voting power? Do whales dominate proposal outcomes?
  • conviction/ — ABC simulations & cadCAD conviction voting models
  • Aragon_Conviction_Voting/ — Algorithm overview & models
  • conviction-voting-cadcad/ — cadCAD simulation framework
  • myco-bonding-curve/ — Bonding curve parameter sweeps & dashboards

Data Sources

To be populated — see below for what's needed.

Setup

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt