Storm Trading System
Oct 13, 2019

The Storm Trading System indicator provides a comprehensive market analysis toolkit by combining multiple Exponential Moving Averages (EMA), fractal-based support and resistance levels, and a specialized risk detector. It aims to help traders identify major trend zones, potential breakout points, and high-risk "turbulence" areas using a multi-layered technical approach.
Usage
The Usage section describes how the script can be used to interpret different market conditions. The indicator is designed to provide a "top-down" view of price action through three main components:
Trend Clouds
The script utilizes four EMAs (15, 30, 45, and 60) to create a visual cloud. When the price remains consistently above or below this cloud, it indicates a strong major trend. Traders can use the cloud as dynamic support or resistance and to gauge the duration of a trend.
Fractal Support and Resistance
Green and red circles represent fractal levels calculated using a proprietary "Dow Factor RSI." These act as local support and resistance markers.
- Bullish Signal: A green fractal appears when specific high-price patterns align with the Dow RSI being above its average.
- Bearish Signal: A red fractal appears when low-price patterns align with the Dow RSI being above its average.
DVOG Risk Detector
The indicator features a "Risk Factor" that changes the background and bar colors. This is not intended as a stop-loss signal but as a warning of high-risk zones or potential "turbulence" before significant market movements.
- Stagnant/High Attention: When the background or bars change color (typically to orange or a blue tint depending on settings), it suggests a period of high volatility or potential trend exhaustion.
Details
The Storm Trading System is built on several complex calculations that integrate external market data to provide context:
- Market Adaptation: The script uses
request.securityto pull data from global indices (like the S&P 500 or Crypto Index). This "Dow Factor" adjusts the RSI calculation based on how correlated the current asset is to the broader market. - Multiple Correlation: It employs an adjusted R-squared formula and Pearson correlation to determine the "Dow Coefficient," which weighs the bullish or bearish strength of the RSI.
- Volatility Analysis: The risk detector uses a combination of Bollinger Band Width (BBW) and volume-weighted momentum (similar to a Money Flow Index) to identify when the market is entering a "stagnant" or overextended state.
Settings
General Settings
- Background I / 0?: Toggles the visibility of the background risk highlights.
- Barcolor I / 0?: Toggles the visibility of the specialized bar coloring for risk detection.
- Market Type: Selects the reference index (Global Index, Inverse Index for FX, or Crypto Index) used to calculate the Dow Factor.
- Length: Determines the period for the core RSI and correlation calculations.
EMA Periods
- Period EMA1 (15): Sets the length for the first EMA (fastest).
- Period EMA2 (30): Sets the length for the second EMA.
- Period EMA3 (45): Sets the length for the third EMA.
- Period EMA4 (60): Sets the length for the fourth EMA (slowest).
FAQ
How do I interpret the fractal circles? Fractal circles mark key historical price pivots confirmed by the Dow RSI. They serve as targets for potential breakouts or levels where the price may find temporary support or resistance.
What should I do when the background color changes? A change in background color indicates a "stagnant" market state or high risk. It suggests a region of high attention where traders should be cautious of "turbulence" or sharp price reversals.
How can I access this script? You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
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Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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