StockBotty is a data-driven analysis platform – focused on trend change patterns across stocks, commodities, and market sectors. Every trade discussed on StockBotty reflects the author’s own real trading decisions, backed by historical data analysis and statistical edge calculations. We document trades with full transparency – wins and losses included – because honest numbers tell the real story.
What We Publish
- Watchlist – Signals & Key Ratios: The starting point for navigating StockBotty. Tracks 57 stocks and 64 ETFs with live trend scores, momentum readings, and historical edge statistics. From here, every symbol links directly to its trade article history and full Symbol Page with deeper analysis.
- Personal Trade Discussions: Real entries and exits based on trend change analysis with full historical context
- 10-Day Trade Reviews: Honest follow-ups on every trade: what happened, what the data predicted, and what we learned
- Daily VIX & Volatility Reports: Market fear gauge analysis with term structure and historical context
- ETF Momentum Reports: Daily sector and commodity momentum scores showing where market strength flows
- Market Strength Analysis: Data-driven overview of sector rotation and commodity trends
- Options Put Scanner: Daily scan of put-selling candidates across a broad universe of stocks, ranked by a composite quality score combining GEX exposure, IV rank, and options flow signals. Where available, each candidate links directly to its Symbol Page for deeper analysis.
- GEX Structure Dashboard: Daily gamma exposure analysis across SPY, QQQ, IWM, DIA, GLD and IBIT — three timeframes (14–30d, 30–50d, 50–75d) showing put floors, call ceilings, GEX flip levels and cross-timeframe confluence. Identifies structural support zones where market maker hedging flows concentrate, updated each trading day.
- Symbol Pages: Per-stock deep dives for tracked symbols covering fundamentals, technical analysis, options positioning, and trend change history – updated automatically from live data.
Our Approach
No opinions. No guesswork. No hot tips. Just data. Every trade entry is based on a systematic, rules-based approach using historical edge calculations. Every position comes with a defined exit rule before it is entered. Every outcome is documented – good or bad.
How StockBotty Works – and Why AI Writes the Articles
Every analysis on StockBotty starts with raw data. Proprietary algorithms scan historical price data, calculate statistical edge metrics, and identify trend change patterns before any article is written. The trading signals and all underlying calculations are generated entirely by systematic, rules-based data processing. Artificial intelligence enters only at the final step: translating those pre-computed numbers into readable market commentary. We are upfront about that – and intentional about it. The analysis is done by algorithms, not gut feeling. A human rewriting the same output would just be a bottleneck between the data and you. What AI does not do here: calculate signals, make trading decisions, or invent narrative. Every number in every article was computed before the first sentence was written. The data drives the story – never the other way around.
Who We Are
The platform was built to support the author’s own trading decisions. Before entering any position, the analysis gets read like a morning newspaper – not scrolled through as a raw data table. That is the reason articles exist at all: a well-written narrative is faster to absorb and easier to act on than a spreadsheet, even if both contain exactly the same numbers.
StockBotty is essentially a personal trade journal and newspaper that became public – shared because the approach might be useful to others who think the same way.
StockBotty is run by an independent trader and data analyst based in Dubai, UAE, with a passion for systematic, rules-based trading and full transparency in documenting real market decisions.
Disclaimer before making any financial decisions.