8 posts tagged with "mercury-bot"

In the bustling digital marketplace of cryptocurrency trading, where millions of decisions are made in microseconds, there exists an algorithm named after one of the most enigmatic Greek deities - Kairos, the god of the perfect moment.

The Myth​

Kairos was depicted as a young man with a distinctive forelock of hair at his forehead, but completely bald at the back. The symbolism was clear: you must grasp opportunity at the precise moment it presents itself, for once it passes, even the swiftest hand cannot catch it.

He carried a pair of scales, delicately balanced on a razor's edge - a reminder that decisions must be made with precision, yet swiftly. The ancient Greeks said that Kairos moved with such speed that he could dance on this razor without being cut.

In our quest to improve market comparison accuracy, we've experimented with different versions of sorting prompts. This analysis compares their effectiveness and helps identify the optimal approach.

Test Setup​

• Markets: BTCUSDT vs ETHUSDT
• Timeframe: 4h
• Core Indicators: RSI, MACD, Bollinger Bands, Volume, ADX, Volatility, Ichimoku
• Models Tested: LLAMA3.2:3B, GEMMA2:2B, DEEPSEEK:R1:1.5B

Types are the backbone of any TypeScript project, but as the codebase grows, they can become scattered and hard to maintain. Here's a practical guide on organizing types, with a real-world example from Mercury Bot.

General Approaches to Type Organization​

1. Domain-Driven Type Organization​

Keep types close to their domain logic, organized by feature. This approach makes it easy to find related types and maintains a clear connection between types and their usage.

src/
├── market-ranking/
│   ├── types/
│   │   ├── state.types.ts
│   │   ├── config.types.ts
│   │   └── index.ts

Introduction​

Mercury Bot's market analysis system is built on a foundation of 42 precisely defined market conditions. Each condition represents a specific technical setup that can trigger trading signals. This guide details how these conditions are implemented and how they drive the bot's decision-making process.

Introduction​

As Mercury Bot continues to evolve, we've identified key technical indicators that could enhance its market analysis capabilities. While we've already implemented several core indicators (RSI, MACD, Bollinger Bands, Ichimoku Cloud, OBV), this guide ranks additional indicators by their value for crypto markets and implementation complexity.

Introduction​

Mercury Bot's market analysis system is evolving beyond traditional candlestick patterns to focus on pure indicator-based setups. This guide introduces 42 "sweet spots" - specific market conditions that can trigger high-probability trading signals. Each setup is defined by a combination of technical indicators and specific market conditions.

Introduction​

Mercury Bot's market analysis system has evolved to include a sophisticated set of time-based trading conditions. Each condition is designed with a specific timeframe target, making them ideal for automated trading systems. This guide introduces 42 "tasty" market conditions that combine technical indicators with precise time-based profit targets.

Setting up a production-ready Kubernetes cluster can be a challenging journey, filled with unexpected twists and turns. Today, we want to share our experience of deploying the Mercury Bot on Kubernetes, complete with proper networking, HTTPS, and all the fun debugging that came with it.