Markowitzify
Unverified ML strategy on Crypto by DemetersSon83. BotFinder score 18 out of 100.
Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio"
Source: github
BotFinder analysis pending.
Markowitzify
Markowitzify Markowitzify is a lightweight Python library for portfolio optimization (portfolio) and technical-analysis helpers (stonks). It includes: - Portfolio analytics: Markowitz optimization, NCO optimization, Sharpe ratio, Hurst exponent, Monte Carlo simulation, trend scan. - Stonks analytics: Fractal indicator, Bollinger bands, RSI, signal generation, and basic strategy backtesting. Installation For local development: Optional market-data provider extras: Quickstart (offline-safe) API Overview portfolio Key methods/attributes: - buildportfolio(TKRlist, timedelta, enddate=None, datareader=True, provider="auto") - provider="auto" prefers yfinance if installed, otherwise pandasdatareader. - buildTSP() (depends on external endpoint availability). - importportfolio(inputpath, filename="portfolio.csv", dateskw="date") - markowitz() → sets p.optimal - NCO() / optimizenco() → sets p.nco - hurst(), sharperatio(), simulate(), trend() stonks Key methods/attributes: - fractal() - bollinger() - RSI() - signal() - strategize() Testing / Contributing Run checks locally: Notes and limitation
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
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 & comments
No reviews collected from the source yet.
⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)