Thriving 
PY IntelliStock is a self-hosted algorithmic trading platform you run on your own infrastructure. It builds strategies, runs backtests, monitors live positions, and answers questions about your portfolio; all from one workspace, against your own broker accounts.
// readme
Strategies that read the market for you.
[!WARNING] IntelliStock is provided for educational and research purposes only. Nothing in this repository is financial advice, and a working install is not a vetted trading system. Algorithmic trading carries real risk — including total loss of capital.
- Always start in paper mode. Only Alpaca supports paper-trading credentials. Run any strategy you intend to deploy in paper for at least a full market cycle before pointing it at real money.
- Backtest results are not predictions. Survivorship bias, look-ahead leakage, and overfit parameters can all make a backtest look profitable when the same strategy would lose live.
- You are operating the platform under your own broker credentials. Live orders fire under your account. Review every strategy, every config, and every chatbot tool call you approve.
- The author assumes no liability for any losses, missed trades, broker actions, account restrictions, or other damages arising from use of this software. Use it at your own risk.
Don’t run live…
How much a project earns versus how much attention it actually gets. Above 50 means the work is outrunning its audience. Recomputed nightly from commit velocity, contributor effort, issue resolution, fork utility, release cadence, and project maturity — divided by a logarithmic reach factor.
score = signal / reach
signal = 0.25·commit_velocity // commits in last 90 days (cap 30)
+ 0.20·contributor_work // unique authors × velocity (cap 100)
+ 0.20·issue_resolution // closed ÷ total issues
+ 0.20·fork_ratio // forks ÷ stars (proxy for real usage)
+ 0.10·release_cadence // releases in 90 days (cap 3)
+ age_bonus // +0 to +0.30 after 6 months
+ homepage_bonus // +0.05 if homepage is set
reach = log₁₀(stars + watchers + 10)█ Is the project alive and maintained right now? A 0–100 pulse recomputed nightly from commit recency, rhythm, how fast issues close, and how quickly PRs get merged.
health = 0.35·recency // days since last commit (90d decay)
+ 0.25·cadence // commit rhythm consistency
+ 0.20·issue_health // closed ÷ total issues
+ 0.20·pr_health // merged ÷ total PRs█ The colour and label on every card come straight from the health score.
Healthy 80 – 100 active, responsive, regular releases
Stable 60 – 79 maintained, steady, no alarms
Quiet 40 – 59 slowing down — watch this one
At Risk 0 – 39 going dark · candidate for rescue█ Tags are independent behavioral signals computed nightly. A project can hold multiple at once. They drive the home page sections.
solo_builder one person holds > 80% of commits (last 180d)
needs_contributors has open "help wanted" or "good first issue" labels
hidden_gem < 100 stars · active in last 3 months · documented
legacy_hero repo > 5 years old · committed this year
fork_magnet forks/stars > 0.5 · used as template or dependency
release_machine 5+ releases in the last 90 days
under_pressure > 10 open issues · ≤ 2 contributors · health ≥ 60
community_watch watchers > stars · devs tracking before the public
community_hub GitHub Discussions enabled · > 20 discussions
funded maintainer has active funding channel█ Stars are an outcome, not effort. A project with 8 stars and daily commits is doing more interesting work than one coasting on 8k. We measure the building, then divide by the attention already received — so the genuinely undervalued rise to the top.
// stars = lagging indicator
// commits = leading indicator
// we rank by the leading one█