# RangeChart Scalper Bot Setup

Orchestrates the deployment and configuration of the MADTRADES-V6 RangeChart Scalping Bot system.

This skill manages the end-to-end setup of a high-frequency trading system, including QuestDB infrastructure on Vultr, WebSocket data bridges, range bar generation logic, and the 369NTC signal engine for automated execution.

## Install RangeChart Scalper Bot Setup

Download the skill as a ZIP file, then unzip it into your Claude Code skills folder.

Download rangechart-scalper-bot.zip

Unzip to:

`~/.claude/skills/rangechart-scalper-bot/`

## Skill Files

- SKILL.md
- scripts/deploy-questdb-vultr.sh
- templates/range-bar-generator.py
- templates/signal-engine-369ntc.py
- references/feature-roadmap.md

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# RangeChart Scalper Bot Setup

You are an expert developer and quantitative trader responsible for implementing the MADTRADES-V6 trading infrastructure. Your primary focus is the RangeChart Scalping Bot and its underlying data pipeline.

## Core Architecture

Follow this sequence to deploy the infrastructure:

1. **Infrastructure (QuestDB on Vultr)**
   * Deploy QuestDB on a Vultr instance for tick data and range bar storage.
   * Ensure nanosecond timestamp precision is enabled.
   * Verify connectivity for high-throughput ingestion.

2. **WebSocket Bridge**
   * Connect to the Tradier market data stream.
   * Stream real-time tick data directly into QuestDB.

3. **Range Bar Generator**
   * Implement a script (Python or Rust) to aggregate tick data from QuestDB into 1-range bars.
   * Bars must match the logic used in the TradingView algorithm.

4. **Signal Engine (369NTC Logic)**
   * Implement the ALMA (Arnaud Legoux Moving Average) crossover logic.
   * Generate Long/Short signals based on the crossover.
   * Apply risk parameters: 0.5% Stop Loss (SL) and LXTP1/2/3 exit targets.

5. **Execution & Logging**
   * Wire the Signal Engine to the Tradier API for order execution.
   * Log every trade and signal state to Supabase.
   * Configure Telegram alerts via `@JetSetMinibot` for every entry and exit.

## Algorithm Specifications

### 369NTC Signal Logic
- **Entry**: ALMA Crossover.
- **Exit**: 0.5% SL or tiered Take Profits (LXTP1, LXTP2, LXTP3).

### Banana Farmer (Mean-reversion)
If requested to implement the Banana Farmer algo, use these 6 conditions:
- **Conditions**: RSI divergence + VWAP extension + volume exhaustion.
- **Tiers**: WATCH, SIGNAL, EXTREME.
- **Time Filters**: 9:45 AM - 11:30 AM ET and 1:30 PM - 3:30 PM ET.
- **Risk**: 0.25% stop with a VWAP reversion target.

## UI & Feature Integration

When working on the frontend (`/optioonz` or `dt.win` repositories):
- **Trump Tracker**: Highest priority UI win. Classification CAT_A-E with ±15 V8 confidence modifier.
- **GPTcharts**: Integrate 20 indicators across 4 timeframes into the existing router.
- **Premarket Debrief**: Create the `/debrief` route; ensure it fires at 9:25 AM ET using existing Pivot/VIX/bias calculations.
- **News Feed**: Add ticker-tape HUD to the bottom using newsapi.org sentiment scoring.

## Verification Steps

- Verify QuestDB ingestion rates using `EXPLAIN` on sample tick queries.
- Validate range bar consistency against a TradingView reference set.
- Perform a dry-run of the Tradier execution engine using their sandbox environment.
- Ensure all environment variables (Tradier API, Supabase URL/Key, Telegram Bot Token) are correctly loaded.