AlgoHunter Features

Core System

The main layers of the platform.

Each feature is built around repeated market work: find the signal, test the logic, organize the workspace, and act from a cleaner view.

Market Dashboard

Scan US and worldwide equities with sorting, sectors, watchlists, favorites, drawdown, returns, and volume-aware views.

Algorithm Leaders

Compare live algorithm output with sortable names, symbols, returns, drawdown, premium/hot filters, and time-factored leader views.

Back-Testing System

Run and compare historical strategy tests with equity curves, drawdown, trade logs, advanced diagnostics, and saved run history.

Custom Dashboards

Build widget workspaces with heatmaps, charts, watchlists, AI briefs, trade ideas, performance panels, notes, and market modules.

AI Widget Builder

Generate dashboard widgets from natural-language prompts with Thelema-assisted layouts, symbol lists, heatmaps, and market modules.

Market Briefs

Refresh AI market summaries, sync widgets, and keep brief-driven context inside the same workspace where decisions happen.

Paper Trading System

Manage simulated accounts, positions, orders, P&L, and separate wallets across stocks, futures, options, and Kalshi desks.

Shared Leaderboard

Rank paper accounts and challenges across markets by score, returns, P&L, activity, and drawdown.

Futures, Options, Kalshi

Work across equities, futures, options research, prediction markets, and event categories without forcing everything into one stock-only model.

Earnings and News

Track earnings calendars, global symbols, news, blog intelligence, and event context that can affect watchlists and screens.

Workflow

From scan to system.

AlgoHunter is organized around the daily workflow of a trader who needs fast market discovery, repeatable validation, and a workspace that does not fall apart when the market gets noisy.

1. Discover

Use screeners, sectors, market-region filters, watchlists, earnings, news, futures, and Kalshi categories to find what matters.

2. Validate

Run back-tests, review algorithm performance, compare return and drawdown, and inspect timeframe behavior before treating a signal as useful.

3. Organize

Build custom dashboards and heatmaps that are independent of a single watchlist or tied to saved market groups when needed.

4. Monitor

Use alerts, market briefs, widget sync, and saved preferences to keep the system aligned with the markets you actually trade.

Coverage

More than a stock watchlist.

The platform is being built around market types, not just ticker rows, so the workflow can include global assets and event-driven markets.

US and worldwide stocks: Use domestic screens and worldwide symbol support for tickers with exchange suffixes and non-US listings.
Futures markets: Add futures to saved lists and dashboard views instead of isolating them from the rest of the workflow.
Kalshi categories: Track prediction-market themes and event categories alongside equities, futures, and brief widgets.
Options research: Use options activity, strategy views, and paper-planning tools with clear indicative-pricing context.

Desks and Intelligence

Specialized workspaces when a generic ticker grid is not enough.

Each desk keeps its market-specific controls, risk context, paper trading tools, and supporting intelligence close to the workflow.

Futures Desk

Forward tests, futures challenges, paper positions, reports, strategy attribution, trade tickets, and futures-specific alerts.

Kalshi Paper Desk

Live event-market discovery, YES/NO paper orders, probability views, market detail, and a separate Kalshi paper wallet.

Options Desk

Options activity, strategy setup, paper options orders, position tracking, and clear indicative-pricing notices for research workflows.

Symbol Detail Pages

Ticker-level quote/profile context, algorithm comparison charts, performance tables, and deeper run-level inspection.

Heatmaps and Screeners

Custom symbol heatmaps, sector maps, independent heatmap widgets, and scanner views that can be built outside a watchlist.

Alerts and Preferences

Market-specific alerts, algorithm visibility controls, timeframe preferences, and saved settings across stocks, futures, Kalshi, and foreign symbols.

Watchlists and Favorites

Unified watchlists across settings and dashboard, plus favorites by asset type for stocks, futures, options, crypto, and Kalshi categories.

Market Intelligence Widgets

Analyst consensus, ratings history, institutional ownership, latest 13F, political, insider trades, news pulse, and risk-monitor widgets.

Account and Connections

Profile settings, identity groups, library/favorites management, API connection planning, and execution preference surfaces.

Source-Aware Feature Map

A demo-ready map of what each feature does and where it leads.

This layer turns the public feature page into a shareable product handoff: core routes, official-source coverage, implementation status, and next workflows in one place.

Route map