[blackcat] L2 Waveband Trading

позавчера

█ OVERVIEW
The Waveband Trading script calculates trading signals based on a modified Relative Strength Index (RSI)-like system combined with specific price action criteria. It plots two lines representing different smoothed RSI-like indicators and marks potential buying opportunities labeled as "S" for stronger trends and "B" for weaker but still favorable ones.

█ LOGICAL FRAMEWORK

The script begins by defining the waveband_trading_signals function which computes RSI-like metrics and determines buy signals under certain conditions. The main sections include input parameter definitions, function calls, data processing within the function, and plot commands for visual representation. Data flows from historical OHLCV data to various technical computations like EMAs and SMAs before being evaluated against user-defined thresholds to generate trade signals.

█ CUSTOM FUNCTIONS

Waveband Trading Signals:
• Purpose: Computes waveband trading signals using a customized version of the RSI indicator.
• Parameters:
  — overboughtLevel: Threshold level indicating market overbought condition.
  — oversoldLevel: Threshold level indicating market oversold condition.
  — strongHoldLevel: Strong hold condition threshold between neutral and overbought states.
  — moderateHoldLevel: Moderate hold condition threshold below strong hold level.
• [b>Returns: A tuple containing:
  — k: Smoothed RSI-like metric.
  — d: Further smoothed version of 'k'.
  — buySignalStrong: Boolean indicating a strong trend buy signal.
  — buySignalWeak: Boolean indicating a weak but promising buy signal.

█ KEY POINTS AND TECHNIQUES

• Utilizes EMA and SMA functions to smooth out price variations effectively.
• Employs crossover logic between fast ('k') and slow ('d') indicators to identify entry points.
• Incorporates volume checks ensuring increasing interest in trades aligns with upwards momentum.
• Leverages predefined threshold levels allowing flexibility to adapt to varying market conditions.
• Uses the new labeling feature (label.new) introduced in Pine Script v5 for marking significant chart events visually.

█ EXTENDED KNOWLEDGE AND APPLICATIONS

Potential enhancements could involve incorporating additional filters such as MACD crossovers or Fibonacci retracement levels alongside optimizing current conditions via backtesting. This technique might also prove useful in other strategies requiring robust confirmation methods beyond simple price action; alternatively, adapting it into a more automated form for execution on exchanges offering API access. Understanding key functionalities like relative strength assessment, smoothed averaging techniques, and conditional buy/sell rules enriches one’s toolkit when developing complex trading algorithms tailored specifically toward personal investment philosophies.