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nftechie

stonkfly

A full retained fly-connectome simulation with experimental memory and guarded Coinbase AgentKit trading actions.

ApplicationsSpecialistsResearch & knowledgePython
Open on GitHub
Momentum
+1stars in 24 hours+0.1%
884
Stars
163
Forks
+10
This week
1
Contributors
Created 2026-09-10 · Updated 2026-10-15 · #6095 today
Top developers
nftechie

nftechie/stonkfly is ranked 6,095 with 884 stars.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryApplications
SubcategorySpecialists, Research & knowledge
KeywordsClient integration, Deep Research, Guardrails, Trading
Stars884
Forks163
Contributors1
Created date2026-09-10
Updated date2026-10-15
Stars in 1 day1
Stars in 7 days10
Rank6,095
Previous rank6,258
Rank change163
7-day stars rank4,047
Previous 7-day stars rank3,849
7-day stars rank change-198
Total stars rank12,263
Previous total stars rank12,258
Total stars rank change-5
README summary

Stonkfly A fly-connectome simulation that can operate a crypto trading account. Actual neural output, actual Coinbase integration. Profitable learning has not been demonstrated. **How it works:** Public Coinbase prices become an RGB chart. It stimulates 3,335 brightness inputs and 811 R8 color inputs in the retained **MaleCNS v1. A fixed neural readout proposes buy, sell or hold. A custom **Coinbase AgentKit ActionProvider** checks limits and places spot orders through Coinbase Advanced. Positive portfolio P&L stimulates 15 identified

PAM11 dopamine cells; negative P&L stimulates two PPL101 aversive dopamine cells. A candidate memory rule changes existing KC-to-MBON connections. These are engineered reinforcement signals, **not modeled pain receptors**. Synaptic changes do not establish that it learns to trade profitably. Allow several GB for the dataset and dependencies; 16 GB RAM recommended. Default: **paper trades, real public BTC-USDC data, $100 simulated balance**. Local logs, sensory images and resumable brain state go in . Ctrl-C stops it; the

same command resumes. For real orders, first create a dedicated Coinbase Advanced portfolio with **at most 100 USDC** and a portfolio-scoped **ECDSA API key with View + Trade, no Transfer**. Copy to , fill it in locally, then run these commands yourself: Defaults: $10 maximum order including reserved fees, 24 attempts/day, no shorts or leverage. A $20 drawdown stops new orders; **it does not liquidate holdings or cap further losses**. The repo does not come funded or connected to anyone

’s account. Live execution needs your local credentials and explicit opt-in.

Frequently asked questions

How many stars and forks are recorded?

nftechie/stonkfly has 884 stars and 163 forks.

What is the repository rank?

nftechie/stonkfly is ranked 6,095.

What language and category are recorded?

nftechie/stonkfly has 884 stars, uses Python and belongs to Applications.

Which repository is closest in rank?

nftechie/stonkfly is compared with chatfire-AI/huobao-canvas, ranked 6,096 with 883 stars.

README

Stonkfly

A fly-connectome simulation that can operate a crypto trading account. Actual neural output, actual Coinbase integration. Profitable learning has not been demonstrated.

How it works: Public Coinbase prices become an RGB chart. It stimulates 3,335 brightness inputs and 811 R8 color inputs in the retained MaleCNS v1.0 graph: 166,700 neurons, 25.6 million connections. A fixed neural readout proposes buy, sell or hold. A custom Coinbase AgentKit ActionProvider checks limits and places spot orders through Coinbase Advanced.

Positive portfolio P&L stimulates 15 identified PAM11 dopamine cells; negative P&L stimulates two PPL101 aversive dopamine cells. A candidate memory rule changes existing KC-to-MBON connections. These are engineered reinforcement signals, not modeled pain receptors. Synaptic changes do not establish that it learns to trade profitably. Model and evidence.

Run it

Python 3.11, a C++17 compiler, macOS/Linux. Allow several GB for the dataset and dependencies; 16 GB RAM recommended.

python3.11 -m venv .venv
source .venv/bin/activate
pip install -e '.[test]'
python -m stonkfly prepare
python -m stonkfly run

Default: paper trades, real public BTC-USDC data, $100 simulated balance. No key needed. Local logs, sensory images and resumable brain state go in runs/paper/. Ctrl-C stops it; the same command resumes.

For real orders, first create a dedicated Coinbase Advanced portfolio with at most 100 USDC and a portfolio-scoped ECDSA API key with View + Trade, no Transfer. Copy .env.example to .env, fill it in locally, then run these commands yourself:

python -m stonkfly run --live --preflight-only
python -m stonkfly run --live

Defaults: $10 maximum order including reserved fees, 24 attempts/day, no shorts or leverage. A $20 drawdown stops new orders; it does not liquidate holdings or cap further losses. Operation and recovery.

python -m stonkfly status
python -m pytest -q

The repo does not come funded or connected to anyone’s account. Live execution needs your local credentials and explicit opt-in.

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