Q vs GlassBox Dev

See a stock's risk as one 0–100 score — and the five numbers behind it. See what you don't know. Most money apps sell confidence: one number, one arrow. Q-Alpha is a learning app that shows you what you don't know. RISK INDEX, SCORE BY SCORE The Risk tab opens with a result already on screen. See how five sub-scores — volatility, momentum, liquidity, trend strength and profitability — make up one 0–100 risk index. Use "Search a symbol" for the built-in assets, or "Paste my data" to get a risk index from your own daily prices and volumes. You get 3 Risk Index lookups a day before you create an account. Prices for the built-in assets come from a demo price path, not live quotes, and every result says so in its "Data source" row. If an asset isn't supported, Q-Alpha says so instead of showing a made-up score. YOUR HOLDINGS, EACH WITH A SCORE Tap "Save to portfolio" under a result, and the Portfolio tab lists each holding with its own risk score — up to 50 holdings on the Free plan, 500 with Pro. SCENARIO REVEAL Lock in your guess for an asset, then see 50 equally likely outcomes laid out as a distribution, with the 80% likely range spelled out. It is computed on your device from the price and volatility you choose, with no direction assumed — not a forecast, just the spread your own assumptions imply. Report what actually happened, and your calibration score shows whether your ranges ran too narrow: a quiet cure for overconfidence. A SIGNAL THAT SHOWS ITS RULE The risk signal applies one published rule to the risk index and writes out its reasoning, so you can see exactly why it says what it says. It is not a forecast and never a buy or sell call. COMPARE AND BALANCE Overlay two assets on the same five-axis radar to see where their risks differ, and run a classical mean-variance allocation on the holdings you track to see how the weights shift. Every result shows its method and data source — an exercise, not a recommendation. QUANTUM ENGINE — A LEARNING DEMO Curious how quantum algorithms work? Run a small QAOA portfolio-selection example, compared side by side with the exact answer and a random baseline, plus a quantum-circuit sampling demo. Both run on a classical simulator: not a quantum computer, not hardware randomness, and never a forecast. PRICED TO LEARN Start free with the Risk Index — on sample data or your own, with 3 lookups a day even before you create an account — and up to 50 portfolio holdings. Pro unlocks Scenario Reveal, the risk signal, the Quantum Engine demo, side-by-side comparison, portfolio optimization and market scan, with up to 500 holdings, for $9.99/month or $59.99/year. One purchase covers iPhone, iPad and Mac. App Store category: Education. Q-Alpha is not investment advice, recommends no product and guarantees no return. Every output is a learning scenario; every decision is yours. Terms: https://legal.swiftquantum.tech/en/terms/ Privacy: https://legal.swiftquantum.tech/en/privacy/ Subscriptions renew automatically unless cancelled at least 24 hours before the end of the current period.

CryptoKit hands you a final hash or ciphertext and hides everything in between. GLASSBOX rebuilds each algorithm by hand so every intermediate value is visible, tappable, and provably correct against Apple's real implementation — then lets an on-device AI try to crack it, winning on the weak and drowning on the strong. Honesty is a hard requirement. No screen ever fakes progress against strong crypto. Where AI or brute force cannot win, the app shows it failing and explains why. The hand-written teaching engine is checked byte-for-byte against Apple's real CryptoKit/Security output — if they ever disagree, a test fails. WHAT YOU CAN DO • Classical ciphers — Caesar, ROT13, Vigenère, XOR — with an on-device AI cracker that breaks them from ciphertext alone using real statistical cryptanalysis. • Modern families rebuilt by hand and verified against the real thing: AES-128, ChaCha20, DES; SHA-256/512, SHA-1, MD5; RSA, ECC, X25519. Scrub AES through its 10 rounds, step RSA one exponent bit at a time, watch SHA-256 churn its state. • The avalanche on camera: flip one input bit and about half the digest flips. • Crack, Tamper, and Breach labs — a dictionary attack cracks weak passwords instantly while a real, device-timed Argon2id shows why strong hashing takes centuries. • Labs of physics and math: a thermodynamic crack lab, a quantum threat layer (Shor/Grover verdicts + post-quantum survivors), an entropy forge that harvests real sensor noise, and Rosetta panels showing the same cipher in Swift, Python, and C++. • The AI, honestly: a hand-written deep net genuinely learns a reduced-round distinguisher — then genuinely fails at full strength, forever. The flat line is the exhibit. • Hermes — a persistent learner whose brain grows across sessions and syncs across your devices via iCloud. PRIVACY All cryptographic computation runs on your device; your inputs never leave it. The only network traffic is optional iCloud sync of the app's own learning data (in your private iCloud database) and anonymous crash/diagnostic reporting. No accounts, no ads, no tracking.