Wild Swing Trades 📈

Disclosure & Transparency: This post is for educational and technical analysis purposes only. Links to TradingView in this article may contain affiliate tags where this site receives compensation at no extra cost to you. Author's Position: As of the publication date, the author [ holds NO positions / holds a LONG position in AMRX / plans to initiate a position in CSBR within 72 hours ] . High-Probability 30%+ Setups: CSBR, AMRX & HIMS – Full Entry/Exit Tables (August 2026) Most traders hunting for high-probability 30%+ moves with controlled downside end up stuck between two extremes: illiquid micro-caps that can gap 40% on a catalyst, or liquid mid-caps that have already run hard. The last few weeks of dissecting CSBR , AMRX , and HIMS show the trade-offs in real time. Below you’ll find the complete breakdown — including realistic entry zones, stop losses, 30%+ targets, risk/reward ratios, and probability estimates based on current technical structure (as of...

Algorithmic Edge, Zero Friction Most retail trading platforms force an annoying choice: bloated desktop terminals with steep learning curves, or slick web apps that hide the underlying logic and strip away data ownership. I built my own suite to operate the exact opposite way—lean, headless, and anchored entirely to a persistent local framework. Core Philosophy: Data in → rules evaluated → playbooks armed → execution left entirely under operator control. How It Works Continuous Scanning: Background daemons poll the tape, filtering out low-volume noise and junk assets to surface high-conviction setups (including rebounds, breakouts, and Fibonacci levels). Automated Playbooks: Alerts don't just drop a random ticker symbol into a chat window. They generate complete, structured trade plans mapping out precise entries, stops, and profit targets ($T1, $T2$). Operator-Led Execution: The system act...