stock-screener

Unverified ML strategy on Indices by RyanJHamby. BotFinder score 18 out of 100.

Automated stock screener scanning 3,800+ stocks daily for confirmed Stage 2 uptrends passing 8 strict criteria. Features: smart caching (74% fewer API calls), market regime filteri

Source: github

Explorer/Indices/stock-screener
18
Data index
IndicesMLMedium risk⚠ UnverifiedNEW

stock-screener

RyanJHambyGitHub
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Free
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.8y
BotFinder Analysis

BotFinder analysis pending.

About

stock-screener

Intelligent Stock Screener A production-grade systematic trading system for identifying high-probability stock setups using phase-based technical analysis, relative strength momentum, and smart fundamental screening. --- --- Table of Contents - Overview - System Architecture - Key Features - Design Philosophy - Quick Start - Daily Workflow - Manual Position Management - Project Structure - Technical Details - Future Improvements - Contributing - License --- Overview Intelligent Stock Screener is a fully automated, data-driven stock screening and position management system that scans 3,800+ US stocks daily to identify high-conviction buy and sell signals based on: - Phase-based trend classification (4-stage market cycle analysis) - Relative strength momentum (smooth linear scoring vs SPY) - Fundamental quality filters (growth, profitability, financial health) - Volume-weighted breakout detection - Risk-managed stop loss recommendations This system was built to eliminate emotional decision-making and provide objective, repeatable trade signals backed by technical and fundamental analys

PythonMITOpen-sourcealgorithmic-tradingautomated-tradingbreakout-stocksdata-engineeringfinancefinancial-data-analysisgithub-actionsgithub-actions-automation
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
Tamper-proof
Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

Reviews

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Live monitoring

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility

Prop-firm compatibility not provided.

Source
RyanJHamby
Since 2011 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars52
Forks47
Open issues5
LanguagePython
LicenseMIT
Last update2026-10-01
Created2025-11-09
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