Transparency matters. StrongBuyAnalytics was built by Ammar Aljanabi, a former radiation therapist turned data scientist who trades every day using the same systematic, rules-based approach that powers this platform. Below is a summary of Ammar's personal trading performance and the milestones this platform has achieved.
78%
Win Rate
closed at profit target
3,000+
Documented Trades
Jan 2021 – Jul 2026
$5K→$100K
Turned $5K Into $100K
personal account, live money
How the 78% win rate is measured
A performance number is only meaningful if you can see what it counts. Here is the full definition of the sample behind it.
Sample size
Over 3,000 individual trades — every trade taken in the period, with no filtering for strategy, instrument or outcome.
Period covered
January 2021 to July 2026 — five and a half years spanning the 2021 momentum run, the 2022 bear market and the years since.
Capital at risk
Live money in a personal brokerage account. No paper trading, backtests or simulated fills are included in the count.
What counts as a win
A trade closed at its predefined profit target. The target is set before entry and is not moved afterwards; a trade closed anywhere below it counts as a loss, including small gains and breakevens.
What it does not measure
Win rate is not return. A high win rate says nothing on its own about profitability — that depends on the size of the wins relative to the losses. It also measures the founder's personal trading, not the accuracy of the Strong Buy Score shown on this site.
Source and verification
A personal trading log maintained continuously since 2021. The figures are self-reported and have not been audited by an independent third party — treat them as the founder's own record rather than as verified performance data.
Past performance does not guarantee future results. Trading involves risk, including the loss of principal. Nothing here is a solicitation or a recommendation to trade, and results from one person's account should not be taken as an indication of what you would achieve. See our full disclaimer.
Trading Methodology Results
Spanning five and a half years, the sample above covers a full market cycle rather than a single hot streak. That consistency comes from the process, not from calling tops and bottoms: every trade follows predefined rules — specific entry criteria, position sizing based on risk, and a profit target fixed before entry. No exceptions, no emotional overrides.
The approach is built on three principles that drive every decision:
Probability Over Prediction — Instead of trying to predict where a stock will go, the strategy focuses on finding setups with a statistical edge and taking them repeatedly
Risk First, Reward Second — Every trade starts with defining the maximum acceptable loss. Position size is calculated from risk, never from how much profit is possible
Repeatable Signals — Setups must be clearly defined and reproducible. If a signal can't be described in exact terms, it doesn't qualify as a trade
This same framework powers the analysis methodology behind every tool on StrongBuyAnalytics.
Platform Milestones
StrongBuyAnalytics has grown from a personal trading tool into a comprehensive analysis platform. Here's what we've built so far:
✓ AI-powered stock analysis engine generating comprehensive PDF reports with Strong Buy Scores
We believe in full transparency. That's why the founder is launching a YouTube channel to share live trading strategy, platform walkthroughs, and real performance updates. You'll get an inside look at the systematic approach in action — from identifying setups to managing positions to reviewing results.
The channel will cover topics like demand zone analysis, risk management frameworks, earnings season strategies, and how to build discipline into your trading process. Stay tuned — launch details will be announced here and across the platform.
Important Disclaimer: Past performance is not indicative of future results. The track record presented reflects the founder's personal trading log and does not guarantee any specific outcome for platform users. Stock trading involves substantial risk, including the potential loss of principal.
StrongBuyAnalytics provides analytical tools and educational resources for informational purposes only. It does not constitute financial, investment, or legal advice. Always conduct your own research and consult a qualified financial advisor. Read our full investment disclaimer.
The founder maintains a 78% win rate across more than 3,000 documented trades, using systematic, rules-based strategies focused on probability and risk management.
It is the share of trades closed at their predefined profit target, counted across every live-money trade in the founder's personal log between January 2021 and July 2026 — no trades excluded. A trade closed below its target counts as a loss even if it made money. The figures are self-reported and not independently audited; the full definition is in the methodology block above.
No. Past performance is not indicative of future results. Stock trading involves risk, including the potential loss of principal. The track record demonstrates the potential of a systematic approach but does not guarantee any specific outcome. Read our full disclaimer.
Yes. The founder plans to launch a YouTube channel soon to share trading strategy, analysis methodology, and performance transparency. Subscribe notifications will be available on the platform once the channel goes live.
The strategy is systematic and rules-based, built on probability, risk management, and repeatable signals. It uses the same data science principles that power the StrongBuyAnalytics platform, including demand zone analysis, fundamental scoring, and risk-adjusted position sizing.
StrongBuyAnalytics provides the same analytical tools and framework used by the founder, but individual results depend on discipline, risk management, market conditions, and personal execution. The platform supports systematic decision-making — explore our learning resources to get started.