> For the complete documentation index, see [llms.txt](https://modern-stoic-ai.gitbook.io/hypertrade-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://modern-stoic-ai.gitbook.io/hypertrade-ai/getting-started/platform-features.md).

# Platform Features

**HyperTrade** aims to democratize algorithmic trading and crypto analytics by combining the power of LLMs with community-driven insights on a scalable blockchain infrastructure. By integrating HyperTrade proven technology, providing robust backtesting and deployment of live algorithmic trading, and building a vibrant marketplace around proven strategies, **HyperTrade** aspires to become a cornerstone in the rapidly expanding digital asset ecosystem.

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### Platform Features

**HyperTrade** has four core components:

1. **No-Code Strategy Builder**
   * Users describe a strategy in plain language (e.g., “Buy RSI below 30 and sell when RSI above 70”). Integrate a Large Language Model (LLM) that interprets user prompts and auto-generates code snippets for Freqtrade-based strategies.
   * The system interprets the description, generates the underlying trading logic, and visualizes it.
   * Users can adjust parameters (timeframe, Assets, risk settings & trade size) through dropdowns settings.
2. **Backtesting Engine**
   * Runs strategies on historical data from major exchanges (Binance, Hyperliquid).
   * Data is sourced directly from each exchange’s official APIs or archives.
   * Results include profit/loss curves, drawdowns, and key metrics (Sharpe ratio, win rate).
   * Users can compare multiple versions of a strategy side by side.
3. **Live Deployment Module**
   * Connects to user exchange accounts via API keys.
   * Deploys strategies in a containerized environment on Kubernetes.
   * Monitors positions, orders, and risk in real time.
   * Provides a dashboard showing live performance and logs.
4. **Marketplace**
   * Strategy creators publish their models with descriptions and performance stats.
   * Buyers or subscribers can browse by category, performance, or fee structure.
   * HyperTrade I handles subscription payments and access control.
   * Creators set their own prices; HyperTrade takes a 2–5% commission per sale or subscription.

***

### 4. Core Components in Detail

#### 4.1 No-Code Strategy Builder

* **Natural Language Processing**
  * Users enter plain‐language descriptions of buy/sell rules.
  * The NLP engine maps keywords (“RSI,” “MA,” “crossover”) to technical indicators.
  * It proposes a draft strategy script in Python/Freqtrade format.
* **Visual Interface**
  * Users can link blocks to define logical flows (e.g., “If RSI < 30 AND price > 20‐day MA, then buy”).
  * Parameter panels let users set values for lookback periods, risk %, position size.
* **Templates & Examples**
  * Built‐in templates for common strategies (momentum, mean reversion, breakout).
  * Example scripts show best practices for risk management.
  * Users can clone and tweak examples.

#### 4.2 Backtesting Engine

* **Data Sources**
  * Official OHLCV (open, high, low, close, volume) feeds from each exchange.
  * Minute‐level and hour‐level data stored for up to two years.
  * Automatic updates every day to keep the dataset fresh.
* **Simulation Framework**
  * Uses Freqtrade’s backtesting module.
  * Supports backtesting on multiple timeframes (5 m, 15 m, 1 h, 4 h, 1 d).
  * Accounts for fees, slippage, and order types (market, limit).
* **Result Metrics**
  * Net profit and loss (PnL).
  * Maximum drawdown.
  * Sharpe ratio.
  * Win rate and profit factor.
  * Charts: equity curve, drawdown curve, distribution of returns.
* **Reporting**
  * PDF or CSV export of detailed logs.
  * Side‐by‐side comparison of up to five strategies.
  * Downloadable backtest configurations.

#### 4.3 Live Deployment Module

* **Exchange Integration**
  * Support for HyperLiquid
  * Users generate API keys with read/write permissions and input them in HyperTrade.
  * Secure key storage: encrypted at rest and in transit.
* **Containerized Strategy Runners**
  * Each user deployment spins up a separate pod running Freqtrade.
  * Pods auto‐restart on failure.
  * Health checks monitor order placement and connectivity.
* **Monitoring & Alerts**
  * Real‐time dashboard shows open orders, filled orders, PnL.
  * Logs streamed to Cloud Logging.
  * Alerts for connectivity issues, API rate limits, or failed orders.

#### 4.4 Marketplace

* **Listing Strategies**
  * Creators submit a name, description, and performance summary.
  * They upload backtest reports and any supporting documentation (PDF, screenshots).
  * They select a pricing model: flat fee or subscription.
  * HyperTrade verifies the backtest report for data validity but does not guarantee performance.
* **Browsing & Discovery**
  * Users filter by asset class (e.g., BTC, ETH, altcoins), timeframe, risk profile, or price.
  * Sorting by highest return, lowest drawdown, popularity, or newest.
  * Ratings and reviews from subscribers.
* **Purchase & Subscription**
  * Buyers pay with SOL or HyperTrade tokens.
  * HyperTrade holds payment in escrow for a trial period (e.g., 7 days).
  * If the buyer keeps the strategy live after the trial, funds release to the creator minus a 2–5% fee.
* **Creator Dashboard**
  * View subscription counts, revenue, and churn rate.
  * Options to update or delist strategies.
  * Analytics on user engagement and feedback.

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