Professional-Grade
Trading Intelligence
AlphaHunter combines a multi-confirmation technical scanner, AI-powered signal auditing with bear/base/bull price targets, Kelly position sizing, historical signal performance tracking, three portfolio strategies, and full historical backtesting โ all in one integrated platform built for active traders who demand mathematical precision.
Everything You Need to Trade Smarter
Quad-Confirmed Signal Scanner
Every BUY signal requires four simultaneous conditions: price above the 50-day EMA (macro trend), a Stochastic %K bullish crossover from oversold territory, a positive MACD histogram (momentum), and above-average volume (institutional participation). This four-gate approach dramatically cuts false positives. Signals are classified at Strict, Moderate, and Aggressive quality levels so you can calibrate risk to your style.
AI Signal Auditor
Every signal is independently reviewed by Google Gemini. The AI evaluates the full indicator snapshot, up to five recent news headlines, fundamental data (P/E, forward P/E, market cap, beta, P/S, short float), and the next earnings date for red-flag detection. It returns a structured analysis โ Technical Score (0โ100), News Score (0โ100), BULLISH / BEARISH / NEUTRAL sentiment, and a combined confidence score (60% technical + 40% news). Red flags (earnings risk, M&A, SEC activity) automatically cap the score at 35.
AI Price Targets
For every audited signal, Gemini synthesises bear, base, and bull 30-day price targets. These are grounded in a statistical context: OLS linear regression (slope, Rยฒ, residual ฯ), projected midlines at 10, 30, and 60 days, ยฑ1.5ฯ confidence bands, annualised volatility, ATR(14), and the three nearest pivot resistance and support levels. Targets are displayed as a colour-coded column on the signals table and as horizontal price lines on the interactive chart.
Position Sizing
Every signal includes a recommended share count using the fractional Kelly criterion. The Kelly formula uses actual historical win rates from past signal outcomes โ not the AI confidence score, which is not a calibrated probability. Kelly is only unlocked once 20 or more historical samples exist for the same signal type and quality level. Until then, the system falls back to a fixed 1%-of-portfolio risk rule, capped at a 2% portfolio hard limit.
Standard Portfolio
Simple, flexible lot-based position tracking. Buy positions directly from any signal with one click. Supports partial closes โ sell a fraction of any lot while keeping the rest open. Realized and unrealized P&L tracked per lot, with full trade history.
Pyramid Portfolio
Build positions in multiple tranches (2โ5) as price confirms your thesis. Configure entry spacing by percentage or ATR, set a stop-loss (%, ATR, or fixed price), and choose a take-profit (fixed %, trailing %, or trailing ATR). The Move-Stop-On-Add rule locks in profits on prior tranches each time a new one fills. Live prices are checked every 60 seconds during market hours โ triggers execute automatically.
Margin Compounder Portfolio
A full brokerage-style margin account simulation at the portfolio level. Set a Target Margin % and the system tells you exactly when to rebalance. Cash-first buying ensures you never pay margin interest when you have idle cash. The rebalance formula is: Target Account Value = Net Equity รท (1 โ Target Margin %). Eight live dashboard metrics โ account value, net equity, loan balance, buying power, current vs. target margin, daily interest, and realized P&L.
Pyramid Backtester
Test any Pyramid Plan configuration against real historical OHLCV data. Tune tranche splits, entry spacing, stop-loss type, take-profit rules, and the move-stop toggle. The engine simulates the strategy bar-by-bar with gap-protection on fills (entries and stops fill at open, not the trigger price, when price gaps through). Results include total return, max drawdown, days held, tranches filled, exit reason, and a full trade log.
Quad-Confirmed Backtester
Replay the core signal strategy over any historical period. Configure scan quality level (Strict / Moderate / Aggressive), ATR stop and target multipliers, volume filter, and Stochastic thresholds. The backtest enters on every BUY signal and exits on the technical reversal or stop. Results include Total Return, Sharpe Ratio, Max Drawdown, Win Rate, Avg Win / Loss, and Avg Days Held โ all in a clean trade log.
Signal Performance Tracking
Every past signal has its actual price outcome tracked at 5, 10, and 20 trading days after the signal date, using true trading-day offsets from price history (no holiday calendar required). The Signal Performance tab on the Backtest page shows win rate, average return, hit-stop rate, and hit-target rate โ broken down by signal type and quality level. This data feeds directly into the Kelly position sizing model.
MC Simulator
Historical simulation of the Margin Compounder strategy. Choose Daily, Weekly, or Monthly rebalancing, configure target margin, interest rate, monthly cash injections, drift threshold, and buy-only mode. The engine simulates constant-leverage compounding with margin calls, interest accrual, and rebalancing costs. Results show Leveraged vs. Cash-Only returns side by side โ CAGR, Alpha, Max Drawdown, share position stats, and an equity growth chart with three lines.
Real-Time Signal Alerts
New signals appear instantly in the dashboard via Supabase Realtime โ no page refresh needed. Optional Pushover mobile push notifications fire the moment a new signal is detected, including AI sentiment, reasoning, and position sizing recommendation. A daily AI Market Blog summarises broad market tone and top scanner opportunities each morning.
Live Price Feeds & P&L
Live quotes via Yahoo Finance keep portfolio P&L, signal prices, and margin calculations current throughout the trading day. The Dashboard shows your total net worth, unrealized P&L, daily P&L, and upcoming earnings dates across all portfolios โ refreshed automatically during market hours.
Mathematical Precision
All indicators โ ATR, RSI, MACD, ADX, Stochastic โ use Wilder's smoothing (RMA), matching industry-standard libraries like pandas_ta to within 0.01% tolerance. This ensures backtested results reflect what you would have seen in live trading.
The scanner runs across hundreds of tickers daily, anchoring every signal to the historical crossover bar โ so the price, date, and stop levels reflect reality, not the moment the scan ran.
- โ Close > EMA(50) โ macro uptrend confirmed
- โก Stoch %K crosses above %D from oversold
- โข MACD Histogram > 0 โ positive momentum
- โฃ Volume > 20-day MA โ institutional participation
Target Account = Net Equity รท (1 โ Target Margin %)Disclaimer
AlphaHunter is a research and analysis tool. Nothing on this platform constitutes financial advice, investment recommendations, or a solicitation to buy or sell any security. All signals, simulations, and backtests are provided for informational and educational purposes only. Past performance is not indicative of future results. Always consult a qualified financial professional before making investment decisions.