Advanced Features & Strategies

ABFutureBot is equipped with powerful features designed to give you an edge in the market, from intelligent risk management to comprehensive analytical tools.

Intelligent Risk Management

Our bot-side risk management engine goes beyond basic stop-losses, offering dynamic, volatility-adjusted stops and superior trailing stop-loss logic. Your capital is protected by a system that adapts to real-time market conditions.

Learn More about Risk Management

Powerful Analytics & Tools

Make informed decisions with our integrated Backtester and Tax Center. Validate your strategies against historical data and simplify your financial reporting with ease.

Explore our Advanced Tools


Trading Strategies Explained

This document provides a detailed guide to the trading strategies employed by ABFutureBot. Understanding this logic is key to configuring your bots effectively and aligning them with your personal risk tolerance and market outlook.

Core Principles

All strategies operate on two core principles:

  1. The F-T-V Framework: No trade is ever executed based on a single indicator. Every signal is vetted through a Filter -> Trigger -> Volume framework.
    • Filter: The bot first checks the broader market trend on a higher timeframe (e.g., the Daily chart) to establish a directional bias.
    • Trigger: A specific indicator or set of indicators on the bot's configured interval (e.g., the 4-hour chart) generates the initial buy or sell signal.
    • Volume: The signal is only acted upon if confirmed by a significant spike in trading volume, indicating genuine market conviction.
  2. Asset-Specific Parameters: The bot recognizes that different types of crypto assets behave differently. It automatically adjusts its internal parameters based on whether it's trading a Large-Cap (like BTC), Mid-Cap (like LINK), Small-Cap, or Memecoin. This ensures the strategy is optimized for the asset's typical volatility and trend behavior.

Strategy 1: MACD Crossover (Trend-Following)

This is a classic momentum strategy that aims to capture the majority of a market trend.

MACD Risk Rankings

Strategy 2: RSI Mean Reversion (Counter-Trend)

This strategy operates on the principle that assets, after an extreme price move, tend to revert to their average price. It aims to "buy low" and "sell high".

RSI Risk Rankings

Strategy 3: Bollinger Bands (Volatility-Based Mean Reversion)

Similar to RSI, this strategy identifies overextended prices, but it uses volatility instead of momentum. The bands widen in volatile markets and contract in calm ones.

Bollinger Bands Risk Rankings

Strategy 4: BB + RSI Confluence (High-Conviction Mean Reversion)

This is the most conservative strategy, requiring two different indicators to agree before generating a signal. This confluence provides a much higher-probability entry.

Confluence Risk Ranking

Universal Risk Management

Regardless of the strategy chosen, every trade is protected by a universal risk management protocol based on the Average True Range (ATR).

This adaptive risk management is a core feature designed to preserve capital and maximize profits from winning trades.