Features & Tools

No. QuantCyphr is a complete trading performance analytics platform, not a backtesting tool. We provide: (1) Full analytics dashboard with trade tracking, P&L analysis, and performance metrics - competing directly with TradeZella and Edgewonk, (2) Vera AI voice-to-structured journaling that reduces manual entry from 60 minutes to 5 minutes (12x faster), (3) Strategy Autopsy for post-challenge forensics, (4) Mindset Decoder for psychology pattern recognition, (5) Risk Terminal for Monte Carlo simulation, and (6) Funding Optimizer for prop firm challenge planning. QuantCyphr is the only platform that combines traditional analytics with AI-powered psychology analysis and voice automation. We analyze your live trades and decisions, not hypothetical backtest scenarios.

No. QuantCyphr does not execute trades or touch your capital. We are a performance analytics and journaling platform. Current offering (available now): Daily Report Card with Vera AI voice journaling, trade analysis tools (Strategy Autopsy, Risk Terminal, Funding Optimizer), and psychology diagnostics (Mindset Decoder). Coming Q1 2026: Greg (Market Intelligence) - algorithmic market analysis and daily positioning guidance (analysis only, not automated execution). Roadmap (Q2-Q3 2026): Greg Automation - optional automated execution based on Greg's signals for users who explicitly opt in. We prioritize transparency: QuantCyphr will never execute trades without your explicit authorization.

No. QuantCyphr is not a spreadsheet wrapper, Excel template, or glorified Google Sheets setup. We are a complete SaaS application built on enterprise-grade cloud infrastructure (SOC 2 Type II certified data centers with 99.9% uptime). The technical differences: (1) Voice AI Infrastructure: Vera AI processes real-time voice transcription using enterprise-grade speech recognition APIs. This requires substantial ongoing investment in cloud compute and enterprise AI APIs. Excel cannot listen to your voice or convert audio to structured data. (2) AI-Powered Analysis Engines: Our Strategy Autopsy and Mindset Decoder tools use natural language processing and machine learning models to detect behavioral patterns across your journal entries (loss aversion, overconfidence bias, revenge trading sequences). Spreadsheets use static formulas (=IF, =SUM) - they cannot analyze language patterns or run sentiment analysis. (3) Computational Modeling: Risk Terminal runs Monte Carlo simulations (thousands of randomized trade sequences) to calculate pass probability and drawdown risk. This requires backend compute infrastructure. Excel cannot execute Monte Carlo simulations at scale - it would crash trying to simulate 10,000+ trade sequences. (4) Database Architecture: We store trading data in encrypted databases with automatic backups, version control, and multi-device sync. Spreadsheets are static files that break when multiple people edit simultaneously and have no encrypted storage layer. You cannot replicate QuantCyphr's functionality in Excel or Google Sheets. The backend AI processing, voice transcription, and computational modeling infrastructure alone requires more operational investment than most trading journal tools on the market. We are a real software platform, not a template.

Vera AI uses state-of-the-art speech recognition and natural language processing to convert your spoken words into structured trading reports. Simply speak naturally about your trades, emotions, mistakes, and decisions. Vera listens, transcribes in real-time, and automatically structures your session into a professional Daily Report Card with: trade details (symbols, entry/exit, P&L), performance grading (A+ to F), psychology analysis (discipline, emotional state, cognitive biases), and actionable insights. Voice recordings are encrypted, transcribed, and immediately deleted after processing - we never store your voice data. The average DRC takes 60 minutes manually but only 5 minutes with Vera AI (12x faster).

The DRC grading system evaluates your trading session across multiple dimensions: execution quality (did you follow your plan?), risk management (position sizing, stop-loss discipline), emotional control (tilt, revenge trading, FOMO), and process adherence (pre-market prep, journaling consistency). Grades range from A+ (exceptional discipline and execution) to F (major rule violations or emotional breakdown). The grading is AI-powered based on patterns in your journal entries, not just P&L. You can be profitable and get a C grade (lucky but undisciplined) or lose money and get an A- grade (followed your process despite unfavorable conditions). The goal is to track behavioral consistency, which is the leading indicator of long-term profitability.

Strategy Autopsy is a deep-dive forensic analysis tool for failed prop firm challenges or losing streaks. Upload your trade history CSV and Autopsy will identify: exact rule violations (daily loss limit breaches, max drawdown violations), behavioral patterns (revenge trading sequences, position sizing escalation), high-risk trades (which specific trades caused the failure), and psychology breakdowns (emotional triggers that led to discipline collapse). Use Strategy Autopsy when: you failed a prop firm evaluation and want to know exactly what went wrong, you are on a losing streak and need objective analysis, or you want to stress-test your strategy before risking real capital. Autopsy provides trade-by-trade forensics with visual timelines and actionable prevention strategies.

Mindset Decoder analyzes patterns across your Daily Report Cards (minimum 7-14 entries recommended for statistical significance) to detect recurring cognitive biases and psychological tendencies. Using natural language processing on your journal entries, Mindset Decoder identifies: loss aversion (holding losers too long, cutting winners too early), overconfidence bias (position sizing escalation after wins), recency bias (overweighting recent outcomes), confirmation bias (ignoring contrary signals), and revenge trading patterns (emotional decision-making after losses). The output includes severity ratings (low, moderate, high, critical), frequency data (how often the bias appears), and specific examples from your journal. Mindset Decoder shows you the psychological blind spots you cannot see in the moment.

Risk Terminal is a statistical modeling tool that uses Monte Carlo simulation to stress-test your trading strategy. Input your historical win rate, average win/loss, and strategy parameters - Risk Terminal runs thousands of simulated trading sequences to visualize probable outcomes. It shows: equity curve distributions (best case, worst case, median outcome), drawdown risk (probability of hitting max drawdown thresholds), risk of ruin (chance of account blowup), and trade sequence randomness (how much variance to expect). Monte Carlo simulation reveals that even a profitable strategy can experience devastating drawdowns due to random trade sequencing. Use Risk Terminal to validate your edge before risking capital and to set realistic expectations for drawdown periods.

Funding Optimizer calculates the true cost and probability of passing a prop firm evaluation. Input your strategy stats (win rate, average R, consistency) and challenge rules (profit target, daily loss limit, max drawdown) - Optimizer runs Monte Carlo simulations to calculate: pass rate percentage (probability of success on first attempt), average number of attempts needed, expected total cost (challenge fees across multiple attempts), and optimal strategy adjustments (position sizing, trade frequency tweaks to maximize pass rate). Optimizer shows you whether a challenge is mathematically viable for your strategy or if you are likely wasting money on impossible odds. This prevents traders from burning thousands of dollars on challenges they statistically cannot pass.

Greg (Geodesic Recursive Eigenvalue Generation) is QuantCyphr's proprietary market intelligence algorithm, launching Q1 2026. Greg is NOT a trading bot - it is an algorithmic analysis system that provides daily positioning guidance and edge detection. Greg analyzes market structure, volatility patterns, and correlation data to answer: "Is the edge in your favor today?" Greg provides visual heat maps, positioning signals, and pattern recognition across market conditions - but never executes trades automatically. Think of Greg as your institutional research desk. Automated execution (Greg Automation) is planned for Q2-Q3 2026 as an optional feature for users who explicitly opt in. Greg is built on 300,000+ lines of proprietary code developed over years of institutional trading experience.