No Slip Quant AI Trading Bot & SaaS Platform

No Slip is a state-of-the-art AI-assisted quantitative trading bot, swap analysis tool, and SaaS platform for S&P 500 stocks and major cryptocurrencies (BTC, ETH, SOL).

It integrates:

• 6-Agent Consensus Suite: Dynamic roundtable debate and voting between Macro, Trend, Value, Whale, Mean-Reversion, and Freqtrade ClucMay agents.
• Prophet Forecasting Engine: Multi-resolution timeframes analyzing daily and monthly trends, seasonality, and optimal trade timing.
• Multi-Strategy Real-time Monitor: Runs RSI Reversion, MACD Crossover, BB Squeeze Breakout, Spot Arbitrage, and Kimchi Premium Arbitrage in parallel.
• Telegram Interactive Bot: Persistent daemon allowing real-time portfolio tracking, debate simulations, backtest competition leaderboards, and on-demand stock/crypto analysis.
• Model Context Protocol (MCP): Custom MCP server exposing trading tools directly into Claude Desktop.
• SaaS Web App: Next.js dashboard with integrated Toss Payments SDK and credit system.

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Core System Features

1. Multi-Agent Consensus Roundtable

The core valuation and signaling stack uses a weighted consensus from six specialized agents:

• Macro Agent: Tracks bond yields, inflation, USD index, crude oil, and VIX.
• Trend Agent: Evaluates EMA crossovers and momentum.
• Value Agent: Inspects valuation metrics and relative strength.
• Whale Agent: Tracks large-volume breakouts and trade signals.
• Mean-Reversion Agent: Searches for overextended local tops/bottoms.
• ClucMay Agent (Freqtrade): Implements the famous ClucMay strategy.

The agent weights are continuously tuned using a Policy Gradient Reinforcement Learning (RL) feedback loop based on realized market outcomes.

• Relevant files: services/trader/multi_agent_consensus.py, services/trader/daily_reinforcement.py

2. Prophet Trend & Seasonality Forecasting

Features high-performance Prophet prediction cadences (intraday 4h for cryptos, daily for stocks). It captures:

• Macro trend slope (daily rate of change).
• Weekly & monthly seasonality normalized as a percentage of total forecasted price ($yhat$).
• Nyquist checking to prevent short-term seasonality aliasing on coarse data rules.
• Relevant files: services/trader/main.py, services/trader/predict_signal.py, services/trader/champion_prophet.py

3. Telegram Interactive Bot Daemon (/기능 & /portfolio)

Runs a background long-polling listener allowing users to query and control the bot:

• /portfolio (/포트폴리오): Displays S&P 500 asset allocations, virtual active holdings, and latest champion models registry.
• /analyze <symbol>: Resolves Korean or English stock/crypto names and replies with the 6-Agent voting consensus.
• /debate <symbol>: Initiates a live debate between agents. Users reply with their thesis, and the AI agent panel responds using Gemini or rule-based counterarguments.
• /competition: Compares the No Slip Quant strategy against Jesse, Hummingbot, and Freqtrade in a 60-day historical backtest tournament.
• /website (/웹사이트): Spawns an NPX localtunnel background process mapping localhost:3000 to a public URL with a bypass code, letting you view your Next.js app on a mobile device.
• Relevant files: services/trader/telegram_interactive_bot.py

4. Parallel Multi-Strategy & Arbitrage Scanner

The background monitor daemon watches Binance, Bybit, and Upbit to scan:

• RSI Reversion: Rebound at oversold thresholds (<25).
• MACD Crossover: Volatility breakout at MACD Golden Cross.
• Bollinger Band Squeeze: Price breakout following tight volatility bands.
• Spot Arbitrage: Price inefficiencies between Binance Spot and Bybit Spot.
• Kimchi Premium Arbitrage: Real-time USD/KRW exchange-rate-adjusted premium tracking between Upbit and Binance Spot.
• Relevant files: services/trader/whale_pump_monitor.py

5. Monthly Parameter Optimization Pipeline

Automatically updates the config file on the 1st of every month using numpy-accelerated strategy simulators:

• Downloads and caches 1-minute historical klines.
• Runs a calendar grid search to find optimal trigger thresholds, Hold times (H), Stop-Loss (SL), and Take-Profit (TP) targets for each strategy.
• Automatically updates services/trader/model_cache/whale_config.json dynamically loaded by the daemon.
• Relevant files: services/trader/optimize_monthly_strategies.py

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Claude Desktop MCP Server Integration

No Slip includes a Model Context Protocol (MCP) JSON-RPC server that exposes our quant tools directly to your Claude Desktop AI assistant.

MCP Tools Provided

1. analyze_ticker: Prompts the 6-Agent Consensus engine to run a real-time evaluation.
2. run_league_tournament: Executes the 60-day backtest tournament leaderboard.

Installation / Registration

Add the following to your Claude Desktop configuration file (typically ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "NoSlipQuant": {
      "command": "/Users/sunghoon/.gemini/antigravity/scratch/no-slip-saas/services/trader/.venv/bin/python",
      "args": [
        "-u",
        "/Users/sunghoon/.gemini/antigravity/scratch/no-slip-saas/services/trader/mcp_server.py"
      ]
    }
  }
}

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Local Development & Setup

1. Install Node Dependencies (Next.js)

npm install

2. Create Python Environment & Install Core Packages

python3 -m venv services/trader/.venv
services/trader/.venv/bin/pip install -r services/trader/requirements.txt

3. Environment Variables Config (.env)

Create a .env file in the root directory. Required parameters:

TELEGRAM_BOT_TOKEN=your_telegram_bot_token
TELEGRAM_CHAT_ID=your_allowed_chat_ids (comma-separated)
GEMINI_API_KEY=your_google_ai_studio_key
NEXT_PUBLIC_TOSS_CLIENT_KEY=your_toss_payments_client_key
TOSS_SECRET_KEY=your_toss_payments_secret_key
PREDICTION_API_TOKEN=your_shared_api_secret_token

4. Running the Applications

• Web App Dashboard (Next.js Dev Server):

  npm run dev
  

• Telegram Long-Polling Daemon & Web Tunnel: Managed via macOS launchd plist or run directly:

  services/trader/.venv/bin/python services/trader/telegram_interactive_bot.py
  

• Real-time Price Strategy & Arbitrage Monitor:

  services/trader/.venv/bin/python services/trader/whale_pump_monitor.py
  

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production Deployment (macOS Daemon Setup)

The background jobs are orchestrated via macOS launchd plist templates:

• com.noslip.telegram.plist: Runs the Telegram interactive bot daemon.
• com.noslip.whale.plist: Runs the price/arbitrage monitor.
• com.noslip.daily.plist: Spawns the S&P 500 & Crypto daily reports (run_daily.sh) at 08:30 KST.
• com.noslip.monthly.plist: Runs the monthly numpy backtest optimizer on the 1st of every month at 00:05 KST.

To load a daemon:

cp com.noslip.telegram.plist ~/Library/LaunchAgents/
launchctl load ~/Library/LaunchAgents/com.noslip.telegram.plist