OPEN-SOURCE SCRIPT
Updated

[blackcat] L1 Whale Jumping out of the Ocean

22 406
Level: 1

Background
One of the biggest differences between cryptocurrency and traditional financial markets is that cryptocurrency is based on blockchain technology. Individual investors can discover the direction of the flow of large funds through on-chain transfers. These large funds are often referred to as Whale. Whale can have a significant impact on the price movements of cryptocurrencies, especially Bitcoin . Therefore, how to monitor Whale trends is of great significance both in terms of fundamentals and technical aspects.

We often see whales suddenly jump out of the ocean and then set off huge waves. What we need to do is to surf the wave according to the trend after the whale jumps out of the sea. This is really an exciting sport!


Function

By modeling the behavior of Whale and individuals (Surfers), [blackcat] L1 Whale Jumping out of the Ocean can not only simply describe the behavior trends of Whale and individuals, but also describe the shape of waves generated by the whale jump. Individual traders need to follow the wave trend to take profit.

NOTE: white line and yellow candles represent whale appears but it CANNOT indicate the direction as PUMP or DUMP. This indicator is one of the whale series. It is featured by vividness. A technical indicator is drawn as ocean (momentum in blue and aqua), whale (whale PUMP/DUMP in white,yellow, red, fuchsia and green), huge wave (mid-term trend or swing trend in aqua and blue).However, it does not accurately generate buying and selling points.

Key Signal

var01 --> huge wave caused by whale jump. it is used to confirm whale jump and describe the trend of wave for surfers.
var02 --> whale move signal
var12 --> whale move signal
var28 --> high confidence level of huge whale move
dynabot --> deep ocean (dynamic bottom)


Pros and Cons

Pros:

1. Detect Whale pump and dump and the strength of huge wave.
2. Vividly compare the market movement to a huge wave caused by a whale jumping out of the sea.
3. When it resonante with buy or sell signal from other independent indicators, it has higher confidence level.

Cons:

1. No exact long and short entries.
2. It is sensitive and may have noise inside and generate fake entry signal.

Remarks

Please do not think that this is just a technical indicator, this is a documentary about whales.


Readme

In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.

The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.

Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.

Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.

Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.

Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.

Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Release Notes
In order to obey the House Rule, remove the irrelevant MA Cross display.
Release Notes
b]OVERVIEW

This script identifies institutional investor ("whale") exit patterns using multi-timeframe technical analysis. It combines momentum thresholds, price volatility metrics, and smoothed moving averages to generate actionable entry signals.

FEATURES

• Whale Entry Signal System

Detects decreasing price range ratios coupled with crossover events • Tracks 7-period consecutive cross validity requirements • Multi-dimensional price analysis framework
Normalized EMA calculations (25/5 periods)
Dynamic volatility normalization using weighted smoothing algorithms • Comprehensive visualization system • 6 distinct analytical series: VAR12, Price Range Ratio,_normalized_EMA, VAR28, DYNABOT • Color-coded alert triggers (red signals on valid entry setups) • Risk management components • Low-price deviation monitoring across multiple timeframe windows

HOW TO USE

Observe red signal markers confirming:
Valid consecutive cross counts (>0 required)
Decreasing price ratio condition
Analyze convergence/divergence between:
VAR12 (yellow/green channels)
Price Range Ratio (fuchsia line)
Cross-reference with normalized price momentum (blue/aqua shaded area)

LIMITATIONS

• Relies heavily on historical price extremes (25-90 period windows)
• SMA-based smoothing introduces inherent lag characteristics
• Parameter sensitivity exists in weight factors (e.g., 13-period weight settings)
• Requires stable volume conditions for accurate whale pattern recognition

NOTES

• All indicators are zero-line referenced relative to local lows
• DYNABOT calculation incorporates Fibonacci scaling (618 multiplier)
• VAR28 uses dynamic threshold adaptation based on lowest-low filters

Disclaimer

The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.