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ALGORA1

Automated Algorithmic Investment Engine

ALGORA1 builds automated investment software for retail investors. Our platform deploys signal-based trading engines across major U.S. equities — spanning technology, healthcare, financials, consumer, communications, and energy — with built-in risk controls and real-time monitoring.

By filtering noise and analyzing real-time market data, ALGORA1 delivers trend-capture strategies that adapt across market cycles. The result: smoother returns, reduced drawdowns, and capital preservation during downturns.

Our mission is simple — remove emotional guesswork and give investors a disciplined, data-driven edge.


Quick Install

bash <(curl -fsSL https://raw.githubusercontent.com/algora01/algora1.sh/main/install)

Installer handles everything automatically — including dependencies if not already present. Run the command and follow the prompts.

You will need:


Architecture

ALGORA1 runs on a dedicated private cloud instance. Your local terminal connects securely via SSH. All trading, monitoring, and AI processing happens server-side.

┌────────────────┐              ┌────────────────────────────┐
│                │   Encrypted  │                            │
│   Your Local   │─────────────▶│   ALGORA1 Cloud Instance   │
│   Terminal     │   Tunnel     │   · Investment Engines     │
│                │◀─────────────│   · AI Assistant           │
└────────────────┘              │   · Notification Services  │
                                │   · Price Monitors         │
                                │                            │
                                └────────────────────────────┘

Features

Investment Engines

Create automated trading engines with customizable parameters. Each engine runs independently with its own ticker universe, portfolio type, and risk settings.

  • Stop Loss: Configurable per-engine

  • Modes: Live or Paper (simulated)

  • Multi-Engine: Run multiple engines simultaneously with different strategies

  • Multiple Entry Models: Several signal confirmation models defining how price action validates trend signals

Portfolio Modes

Three institutional-grade portfolio optimization modes, each targeting a different investment objective:

Growth — Maximize risk-adjusted excess returns. Ranks portfolios by Jensen's Alpha (excess return above what beta alone would predict), average annual outperformance vs S&P 500, and number of years beating the benchmark. Tolerates higher beta for greater upside. Best for investors seeking maximum capital appreciation who can stomach larger drawdowns.

Stability — Minimize systematic risk and inter-asset correlation. Requires positive alpha as a baseline, then optimizes for the lowest beta (least market sensitivity), lowest average pairwise correlation between holdings, and highest worst-year return. Designed for capital preservation — ideal for investors who prioritize smooth equity curves and protection during market downturns.

Efficiency — Maximize return per unit of risk taken. Ranks by alpha-to-beta ratio (how much excess return you get for each unit of market exposure), consistency of outperformance (inverse standard deviation of annual excess returns), and low correlation. Rewards engines that deliver steady, repeatable alpha without taking outsized market bets. Best for investors who want disciplined, risk-efficient compounding.

Optimizer

The optimizer runs an exhaustive parameter sweep across combinations of signal parameters, entry models, allocation weights, and ticker subsets to find the highest-scoring configurations for your portfolio mode.

Metrics computed for every candidate:

Metric What It Measures
Alpha (Jensen's) Annualized excess return above market-predicted return — the value your strategy adds beyond passive exposure
Beta Sensitivity to S&P 500 moves — a beta of 0.6 means your portfolio moves 60% as much as the market
Average Correlation Mean pairwise correlation between holdings — lower means better diversification
Worst Year Return Largest single-year drawdown — measures tail risk
Years Beating S&P 500 How many calendar years the portfolio outperformed the benchmark
Average Annual Margin Mean annual percentage outperformance vs S&P 500
Alpha/Beta Ratio Return efficiency — how much alpha you get per unit of beta exposure
Consistency Score Inverse volatility of annual excess returns — higher means more repeatable performance

The optimizer evaluates thousands of configurations in minutes, returning the top diversified results ranked by your portfolio mode's scoring function.

AI Assistant

Conversational AI that manages every aspect of the platform through natural language.

  • Engine Management: "Create a growth engine with AAPL, MSFT, NVDA" / "Stop engine TECH" / "Show me engine logs"

  • Direct Trading: Market, limit, stop, trailing stop, and bracket orders. "Buy $500 of AAPL" / "Set a 5% trailing stop on NVDA"

  • Scheduled Commands: "Every day at 9:25 AM buy $100 of AAPL" / "Every Monday at 3:55 PM rebalance"

  • Price Alerts: "Alert me when TSLA drops below $200" / "If AAPL hits $250, buy 5 shares on paper"

  • Strategy Translation: Paste code from TradingView, thinkorswim, TradeStation, NinjaTrader, Interactive Brokers, or TrendSpider — the AI translates it into ALGORA1 engine parameters

  • Portfolio Intelligence: Risk reports, portfolio history, account summaries, position details

Earnings & Fundamental Intelligence

Fundamental analysis built into the platform.

  • Earnings Data: Upcoming dates, EPS estimates, historical results, surprise percentages

  • Analyst Coverage: Price targets (low/mean/high), upgrades/downgrades, firm recommendations

  • 10-K / 10-Q Analysis: Full financial breakdown — income statement, balance sheet, cash flow with year-over-year comparisons and material changes flagged

  • News Headlines: Ticker-specific or market-wide, tagged with related symbols

Multi-Timeframe Analysis

Comprehensive technical analysis across three timeframes with visual charts.

  • Daily (3 months) Short-term trend

  • Weekly (1 year) Medium-term trend

  • Monthly (5 years) Long-term direction

Visual Charts

Professional chart images powered by TradingView Lightweight Charts, rendered and delivered automatically.

  • Line Charts: Live ticker view with current price label — ideal for quick stock lookups

  • Area Charts: Filled equity curves for portfolio value over time

  • Baseline Charts: Above/below reference coloring with optional stop-loss and entry price lines — designed for active investment monitoring

  • Compare Charts: Multi-series overlays with colored lines and value labels — compare engine performance vs S&P 500, or multiple tickers side by side

Morning Briefing (9:15 AM ET)

Automated daily market briefing sent to all connected channels before market open.

  • Market snapshot: S&P 500, Nasdaq, VIX, pre-market
  • Portfolio status: equity, engines, cash
  • Ticker news for active engines
  • This week’s earnings for holdings

End-of-Day Summary (4:15 PM ET)

Automated post-market recap delivered to all connected channels.

  • Market close: daily moves across major indices
  • Holdings performance: price, % change, volume
  • Key events and top headlines
  • Today’s earnings: EPS actual vs estimate, beat/miss

Portfolio Correlation Warnings

Automatic weekly diversification monitoring helps avoid high portfolio correlation, reducing the risk of multiple holdings moving down together.

  • Calculates rolling correlations across holdings
  • Alerts when pairs exceed correlation thresholds
  • Priority alerts for Stability portfolios
  • Available on demand via the AI Assistant

External Channels

Two-way communication channels for remote command execution and notifications.

  • Discord: Full two-way command interface. Send commands, receive alerts, charts, and briefings

  • Telegram: Full two-way command interface with image support for charts

  • SMS (coming soon)

Live Backtesting

Sequential backtests with real-time visualization.

  • Launches in-browser automatically
  • Equity curves with interactive charts
  • Compare optimizer results visually before committing to an engine

Scheduled Commands

Recurring automated actions with natural language scheduling.

  • Human-readable syntax for recurring trades and alerts
  • Supports all trading actions: buy, sell, rebalance, alerts
  • Managed through the AI assistant

Price Alerts

Price monitoring with configurable thresholds.

  • Above/below target alerts
  • Automatic notification delivery to all connected channels
  • Auto-trade triggers ("If AAPL hits $250, buy 5 shares")

Control Panel

The TUI provides direct access to all features:

Select an option
> Investment Engines
  AI Assistant
  External Channels
  Live Status
  Live Charts
  Token Usage
  System Activity
  Exit
  • Investment Engines: Create, configure, optimize, start, stop, delete engines

  • AI Assistant: Conversational interface for all platform capabilities

  • External Channels: Set up Discord, Telegram, and (soon) SMS

  • Live Status: Real-time engine status, positions, and account info

  • Live Charts: Interactive backtests

  • Token Usage: Monitor token usage

  • System Activity: Engine logs, service status, system health


Supported Tickers

ALGORA1 supports 120+ major U.S. equities across all sectors including AAPL, MSFT, AMZN, NVDA, GOOGL, META, TSLA, JPM, UNH, JNJ, and many more. Full list available in the platform.


Requirements

Dependencies are installed automatically.


Pricing

Plan Price AI Token Allowance
Monthly $29/month 1M /month
Quarterly $69/quarter 1.25M /month
Annual $199/year 1.5M /month

Additional token packs for purchase.


Security

  • Credentials stay on your private cloud instance
  • Encrypted SSH tunnel for communications
  • No credentials stored in this repository
  • Token-based authentication

Support

For questions, issues, or feature requests, email official.admin@algora1.com.


Simple automation for smarter investing.

About

ALGORA1 builds automated investment software for retail investors, deploying signal-based trading engines across major U.S. equities with built-in risk controls and real-time monitoring. By filtering noise and adapting to market cycles, the platform aims to capture trends, reduce drawdowns, and help preserve capital.

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