Big Trades Whale Detector [Volume Anomalies] By HKOverview The "Big Trade Detector" helps you spot institutional footprints by identifying volume anomalies that act as outliers compared to recent history. It uses statistical analysis (Standard Deviation) to filter out noise and highlight only significant buying or selling pressure.
Features:
Volume Decomposition: Approximates buy/sell volume based on price action within the candle (Close vs. Range).
3-Tier Detection: Uses dynamic thresholds to categorize volume spikes into Small, Medium, and Extreme events.
Smart Calculation: Compares current volume against the previous average to detect sudden shifts in momentum.
Visuals:
Green Circles (Below Bar): Unusual Buying Pressure (Support defense or Breakout).
Red Circles (Above Bar): Unusual Selling Pressure (Resistance defense or Dump).
Size Matters: The larger the circle, the higher the standard deviation (Sigma) of that volume event.
Whales
Whale Flow PRO [Institutional Grade Trend System]Whale Flow PRO is an advanced market analysis algorithm designed to align retail traders with institutional liquidity cycles. Unlike standard lagging indicators, Whale Flow focuses on detecting the underlying phase of the market: Liquidity Building (Consolidation) vs. Institutional Expansion (Whale Runs).
This tool was engineered to solve the biggest problem in trading: getting trapped in choppy markets ("Whipsaws") and missing the true explosive moves.
⚙️ How It Works
The algorithm utilizes a proprietary volatility-adjusted volume model combined with dynamic price-action pivots. By analyzing the rate of change relative to historical volatility compression, the script identifies key "Pivot Lines" where liquidity is likely to flow.
Trend Filtering: It automatically filters out noise by calculating a custom "Consolidation Index". When the market is in a building phase, signals are suppressed to protect capital.
Whale Runs: When volatility expands beyond a specific threshold in the direction of the dominant trend, the system triggers a "Whale Run" mode, signaling high-probability entry zones.
📊 Key Features
Smart Dashboard (HUD): A real-time professional panel displaying the current Trend Direction, Market Phase (Run vs. Build), and active Pivot Levels.
Dynamic Heatmap: A visual ribbon at the bottom of the chart that tracks the historical strength of the trend flow.
Context-Aware Coloring:
Neon Green: Confirmed Bullish Flow (Whale Run).
Neon Red: Confirmed Bearish Flow (Dump).
Silver/Gray: Consolidation Zone (Safety Mode - No Trades).
Protection System: The "Liquidity Build" filter prevents entries during sideways movement, significantly increasing the win rate of the signals.
🔒 Access
This is an Invite-Only script dedicated to professional traders and community members. It is strictly protected to maintain the edge of its users.
To obtain access: Please visit the link in my signature or send me a private message (PM) here on TradingView for licensing details.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past performance (even of whales) is not indicative of future results.
QED All-In-One(COM)-The yellow diamond and blue star are strong "Long" signals when the LF indicator's pink line crosses below 10.
-The pink star and yellow star are strong "short" signals when the LF indicator(NOT STUPID RSI) is above 90.
-The oversold (exclamation mark) signal indicates that a strong upward or downward trend could be imminent.
SUBSCRIPTION IS NEEDEED.
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when pink line hits the bottom (close to 0). go for long. same as the short (opposite way)
DO NOT ENTER WHEN PINK LINE IS IN THE MIDDLE (close to YELLOW LINE). That's not the bottom or top you are looking for.
imgur.com
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-노란색 다이아몬드와 파란색 별은 "Long" 시그널로 LF지표 핑크색 라인이 하단 10을 통과할때 강력합니다.
-핑크색과 노란색 별은 "short"시그널로 LF지표가 90이상일때 강력합니다.
-과매도(느낌표) 시그널은 곧 상승/하락의 추세가 될 수 있음을 의미합니다.
Options levelsOverview
Options Levels 🎯 plots 13 key institutional and options-based levels directly on your chart — including Call Wall, Put Wall, Gamma Flip, Whales Pivot, five Whale levels, and Sigma deviation bands (σ¹ / σ²).
It’s designed for both intraday and swing traders, offering a clean visual structure with elegant emoji labels, flexible visibility controls, and precise right-edge extensions for each line.
✨ Key Features
Single structured input with 13 ordered levels:
CallWall, PutWall, GammaFlip, Whales Pivot, Whale1..Whale5, Upperσ1, Upperσ2, Lowerσ1, Lowerσ2
Expressive emoji labels (🟢, 🔴, ⚖️, 🌑, 🐋, σ¹/σ²) optimized for dark themes.
Right-edge alignment: each line extends exactly to its label — no infinite lines.
Group visibility toggles:
• Critical Levels → Call Wall, Put Wall, Gamma Flip, Whales Pivot
• Whale Levels → Whale 1–5
• Sigma Bands → Upper/Lower σ¹ and σ²
Dynamic line-length multipliers that emphasize key levels.
Built-in alert conditions:
• Price crossing above the Call Wall
• Price crossing below the Put Wall
⚙️ Inputs & Settings
📋 Level List (string) : comma-separated list of 13 numeric values.
Example:
🎨 Appearance
• Base line length (bars)
• Label visibility toggle
• Line thickness
• Extend line and label to the right
• Distance (bars) between last candle and label
👁️ Visibility Controls
• Toggle Critical, Whale, or Sigma levels independently
🚀 How to Use
Paste your list of 13 ordered levels into the input field.
Adjust base length and thickness according to your timeframe.
Enable “Extend to the right” to position labels neatly beyond the last candle.
Use visibility toggles to focus on specific level groups (e.g., hide Whale Levels for short-term setups).
Optionally enable alerts to track price breakouts above/below Call and Put Walls.
The plotted levels are derived from aggregated options flow data, institutional positioning, and volatility-based deviations (σ). They serve as reference zones rather than predictive signals, helping visualize where liquidity and dealer hedging pressure may cluster.
📖 Level Definitions
Call Wall 🟢 — The strike with the highest call open interest; potential resistance area.
Put Wall 🔴 — The strike with the highest put open interest; potential support area.
Gamma Flip ⚖️ — Level where total gamma exposure changes sign; may reflect a shift in dealer hedging behavior.
Whales Pivot 🌑 — Represents the average institutional positioning from the previous trading day, reflecting where large option flows were most concentrated.
Whale Levels 🐋 — High-premium or large-volume strikes typically linked to institutional activity.
Upper σ¹ / σ² 📈 — One and two standard deviations above spot; potential overextension zones.
Lower σ¹ / σ² 📉 — One and two standard deviations below spot; potential mean-reversion zones.
Levels are manually input by the user. This script is a visual reference, not a predictive model.
⚠️ Notes
Levels are user-provided (not calculated by this script).
The indicator does not issue buy/sell signals or provide performance guarantees.
Designed purely as a visual aid for contextual market reference.
Optimized with barstate.islast for performance (draws only at the latest bar).
Disclaimer:
This indicator is for educational and visual purposes only. It does not generate buy/sell signals or guarantee future results. User-provided levels are meant for contextual reference only.
Developed for traders who rely on market structure and options flow context. Feedback and suggestions are welcome.
⚪ Liquidity Spike Marker
Description:
The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user.
When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market.
Features:
Displays a placemark (⚪ white triangle) when the threshold is exceeded.
Configurable parameter Volume × Low Threshold.
The ability to set an alert for automatic notification.
A lightweight and minimalistic tool without unnecessary elements.
Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator.
Essence and logic
The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions.
Why these components?
ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone.
Limitations and outlook
ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome.
Personal note
I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here:
References
CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide.
Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber.
IntoTheBlock. (2022). Large holders inflow indicator description.
Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN.
Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
4 Flags Whale PatternThis indicator detects a unique 4-bar candlestick pattern characterized by alternating bullish and bearish candles (or vice versa), where all four candles have similar body sizes within a specified tolerance.
Usage:
This pattern may indicate a consolidation phase or a potential breakout zone after indecisive price action. Traders can use it to anticipate a directional move following the "tug-of-war" between buyers and sellers.
TO THE MOON by ZdormanThe indicator "TO THE MOON by Zdorman" is written in Pine Script version 5 and is designed for volatility analysis, detection of abnormal volumes, and generation of trading signals.
The indicator operates in a separate panel below the chart.
Parameters:
length: The period for calculating volatility.
threshold: The threshold value for volatility. If volatility exceeds this value, the indicator highlights it on the chart.
volume_threshold_multiplier: A multiplier for determining abnormal volumes. The average volume is multiplied by this factor to determine the threshold for abnormal volume.
annualize: An option to annualize volatility. If enabled, volatility is multiplied by the square root of 252 (the number of trading days in a year).
Daily Return Calculation:
The daily return is calculated as the percentage change in the closing price of the current bar relative to the previous bar.
Volatility Calculation:
Volatility is calculated as the standard deviation of daily returns over the specified period.
The ta.stdev function is used to compute the standard deviation.
If volatility exceeds the threshold value, the histogram bars are colored yellow. Otherwise, they are colored blue.
Histogram:
The histogram displays the volatility value.
The display style is columns.
A horizontal line corresponding to the volatility threshold is displayed on the chart.
The line is red and has a dashed style.
Conditions for a "Long" Signal:
Volatility exceeds the threshold value.
The closing price is higher than the opening price.
The volume is abnormal (exceeds the average volume by the specified multiplier).
The indicator supports the creation of alerts for "Long" signals. The alert triggers when all conditions for the signal are met.
Parameter Configuration:
Set the volatility period according to your trading strategy.
Configure the volatility threshold and volume multiplier to filter signals. It is recommended to use the default settings.
Signal Interpretation:
Yellow histogram bars indicate increased volatility.
"Long" signals appear when all conditions are met and can be used as entry points for a position.
The "TO THE MOON by Zdorman" indicator is a powerful tool for volatility analysis and finding market entry points. Its logic is based on a combination of volatility, volume, and price movements, making it useful for traders operating in various markets. Happy trading!
Whale Buy Activity Detector (Real-Time)Whale Buy Activity Detector (Real-Time)
This indicator helps to identify abnormal spikes in the volume of purchases, which may indicate the activity of large players ("whales"). It analyzes the volume of purchases and compares it with the average volume over a certain period of time. If the volume of purchases exceeds a set threshold, the indicator marks this as potential whale activity.
Basic parameters:
Volume Threshold (x Average): The coefficient by which the current purchase volume must exceed the average volume in order to be considered abnormal. The default value is 2.0, which means that the purchase volume should be 2 times the average volume for the selected time period. This parameter can be adjusted in the range from 1.0 and higher in increments of 0.1.
Example: If you set the value to 1.5, the indicator will mark situations when the volume of purchases exceeds the average volume by 1.5 times.
Lookback Period: The time period used to calculate the average purchase volume. The default value is 20, which means that the average purchase volume will be calculated for the last 20 candles. This parameter can be set in the range from 1 and above.Example: If you set the value to 10, the average purchase volume will be calculated for the last 10 candles.
How to use:
Buy Volume: Shows the volume of purchases on each candle. This is the volume that was sold at a price higher than the opening price of the candle.
Average Buy Volume: The average volume of purchases over a given time period (Lookback Period). This parameter helps to determine the "normal" level of purchase volume.
Whale Buy: Notes abnormal spikes in the volume of purchases, which may indicate the activity of "whales". The indicator draws a mark on the top of the candle when the purchase volume exceeds the threshold set by the Volume Threshold parameter.
Notifications:
The indicator can send notifications when an abnormal volume of purchases is detected. You can set up notifications via the TradingView menu to receive real-time alerts.
Usage example:
If you are trading in a highly volatile market, you can increase the Volume Threshold to filter out small volume spikes.
If you trade in a low-volatility market, you can reduce the Volume Threshold to capture even small anomalies.
Position resetThe "Position Reset" indicator
The Position Reset indicator is a sophisticated technical analysis tool designed to identify possible entry points into short positions based on an analysis of market volatility and the behavior of various groups of bidders. The main purpose of this indicator is to provide traders with information about the current state of the market and help them decide whether to open short positions depending on the level of volatility and the mood of the main players.
The main components of the indicator:
1. Parameters for the RSI (Relative Strength Index):
The indicator uses two sets of parameters to calculate the RSI: one for bankers ("Banker"), the other for hot money ("Hot Money").
RSI for Bankers:
RSIBaseBanker: The baseline for calculating bankers' RSI. The default value is 50.
RSIPeriodBanker: The period for calculating the RSI for bankers. The default period is 14.
RSI for hot money:
RSIBaseHotMoney: The baseline for calculating the RSI of hot money. The default value is 30.
RSIPeriodHotMoney: The period for calculating the RSI for hot money. The default period is 21.
These parameters allow you to adjust the sensitivity of the indicator to the actions of different groups of market participants.
2. Sensitivity:
Sensitivity determines how strongly changes in the RSI will affect the final result of calculations. It is configured separately for bankers and hot money:
SensitivityBanker: Sensitivity for bankers' RSI. It is set to 2.0 by default.
SensitivityHotMoney: Sensitivity for hot money RSI. It is set to 1.0 by default.
Changing these parameters allows you to adapt the indicator to different market conditions and trader preferences.
3. Volatility Analysis:
Volatility is measured based on the length of the period, which is set by the volLength parameter. The default length is 30 candles. The indicator calculates the difference between the highest and lowest value for the specified period and divides this difference by the lowest value, thus obtaining the volatility coefficient.
Based on this coefficient, four levels of volatility are distinguished.:
Extreme volatility: The coefficient is greater than or equal to 0.25.
High volatility: The coefficient ranges from 0.125 to 0.2499.
Normal volatility: The coefficient ranges from 0.05 to 0.1249.
Low volatility: The coefficient is less than 0.0499.
Each level of volatility has its own significance for making decisions about entering a position.
4. Calculation functions:
The indicator uses several functions to process the RSI and volatility data.:
rsi_function: This function applies to every type of RSI (bankers and hot money). It adjusts the RSI value according to the set sensitivity and baseline, limiting the range of values from 0 to 20.
Moving Averages: Simple moving averages (SMA), exponential moving averages (EMA), and weighted moving averages (RMA) are used to smooth fluctuations. They are applied to different time intervals to obtain the average values of the RSI.
Thus, the indicator creates a comprehensive picture of market behavior, taking into account both short-term and long-term dynamics.
5. Bearish signals:
Bearish signals are considered situations when the RSI crosses certain levels simultaneously with a drop in indicators for both types of market participants (bankers and hot money).:
The bankers' RSI crossing is below the level of 8.5.
The current hot money RSI is less than 18.
The moving averages for banks and hot money are below their signal lines.
The RSI values for bankers are less than 5.
These conditions indicate a possible beginning of a downtrend.
6. Signal generation:
Depending on the current level of volatility and the presence of bearish signals, the indicator generates three types of signals:
Orange circle: Extremely high volatility and the presence of a bearish signal.
Yellow circle: High volatility and the presence of a bearish signal.
Green circle: Low volatility and the presence of a bearish signal.
These visual markers help the trader to quickly understand what level of risk accompanies each specific signal.
7. Notifications:
The indicator supports the function of sending notifications when one of the three types of signals occurs. The notification contains a brief description of the conditions under which the signal was generated, which allows the trader to respond promptly to a change in the market situation.
Advantages of using the "Position Reset" indicator:
Multi-level analysis: The indicator combines technical analysis (RSI) and volatility assessment, providing a comprehensive view of the current market situation.
Flexibility of settings: The ability to adjust the sensitivity parameters and the RSI baselines allows you to adapt the indicator to any market conditions and personal preferences of the trader.
Clear visualization: The use of colored labels on the chart simplifies the perception of information and helps to quickly identify key points for entering a trade.
Notification support: The notification sending feature makes it much easier to monitor the market, allowing you to respond to important events in time.
Whale Activity Impact OscillatorThe "Whale Activity Impact Oscillator" is a Pine Script v6 component designed to identify abnormal price movements caused by potential whale activity in the crypto market.
Here's how it works:
Inputs: The script allows users to configure the volume spike multiplier, price spike multiplier, lookback period, minimum volume threshold, and thresholds for strong buy and sell signals.
Data Calculations: It calculates the average volume and average percentage price change over the specified lookback period.
Whale Detection Logic: The script detects a volume spike if the current volume exceeds the average volume by the specified multiplier. It detects a price spike if the percentage price change exceeds the average by the specified multiplier.
Signals: A buy signal is generated when both a volume spike and a price increase are detected. A sell signal is generated when both a volume spike and a price decrease are detected.
Output: The oscillator is displayed as a histogram below the price chart. Green bars indicate buy signals, red bars indicate sell signals, and gray bars indicate normal activity. The height of the bars is proportional to the magnitude of the price change.
Alerts: The script includes alerts for whale buying and selling detected signals.
Edge Cases: The script avoids false signals in low-liquidity environments by setting a minimum volume threshold and filtering out signals during low market activity.
This component can be added to a TradingView chart to help traders identify potential whale activity and make informed trading decisions.
Whalemap [BigBeluga]The Whalemap indicator aims to spot big buying and selling activity represented as big orders for a possible bottom or top formation on the chart.
🔶 CALCULATION
The indicator uses volume to spot big volume activity represented as big orders in the market.
for i = 0 to len - 1
blV.vol += (close > close ? volume : 0)
brV.vol += (close < close ? volume : 0)
When volume exceeds its own threshold, it is a sign that volume is exceeding its normal value and is considered as a "Whale order" or "Whale activity," which is then plotted on the chart as circles.
🔶 DETAILS
The indicator plots Bubbles on the chart with different sizes indicating the buying or selling activity. The bigger the circle, the more impact it will have on the market.
On each circle is also plotted a line, and its own weight is also determined by the strength of its own circle; the bigger the circle, the bigger the line.
Old buying/selling activity can also be used for future support and resistance to spot interesting areas.
The more price enters old buying/selling activity and starts producing orders of the same direction, it might be an interesting point to take a closer look.
🔶 EXAMPLES
The chart above is showing us price reacting to big orders, finding good bottoms in price and good tops in confluence with old activity.
🔶 SETTINGS
Users will have the options to:
Filter options to adjust buying and selling sensitivity.
Display/Hide Lines
Display/Hide Bubbles
Choose which orders to display (from smallest to biggest)
TTP Big Whale ExplorerThe Big Whale Explorer is an indicator that looks into the ratio of large wallets deposits vs withdrawals.
Whales tend to sale their holding when they transfer their holdings into exchanges and they tend to hold when they withdraw.
In this overlay indicator you'll be able to see in an oscillator format the moves of large wallets.
The moves above 1.5 turn into red symbolising that they are starting to distribute. This can eventually have an impact in the price by causing anything from a mild pullback to a considerable crash depending on how much is being actually sold into the market.
Moves below 0.5 mean that the large whales are heavily accumulating and withdrawing. During these periods price could still pullback or even crash but eventually the accumulation can take prices to new highs.
Instructions:
1) Load INDEX:BTCUSD or BNC:BLX to get the most historic data as possible
2) use the daily timeframe
3) load the indicator into the chart
Oscillating Length Moving Averages***CREDIT TO TradingView's TA Library*** (), Attempted to use "import TradingView/ta/4" to import the library, but for whatever reason
some of the functions failed to work, while others had no issue, so I opted to just copy paste what I wanted to use.
This moving average uses an oscillator to influence the length used during calculation. Extremely customizable/tunable with ability to change Max and Min length values, length multiplier, length multiple,4 different settings ,( Decline , <>Peak, >Decline , <>Peak, >
Big Whale Purchases and SalesBig Whale Purchases and Sales - plots big whale transactions on your chart!
People that hold more than 1% of a crypto currencies circulating supply are considered whales and have a huge influence on price, not just because they can move the market with their huge transactions, but also because other traders often track their wallets and follow their example. Taking a look at whale holdings, one can see why whale worship is so common in crypto: While Bitcoin has a relatively low whale concentration, many of the Top 100 Cryptocurrencies have whales control 60% or more of their circulating supply.
Integrating IntoTheBlock data, this script plots the transactions of these whales and, in strategy mode, copy trades them.
Features:
Strategy Mode: Switches the script between an indicator and a strategy.
Standard Deviations: The number of Standard Deviations that a transaction needs to surpass to be considered worth plotting. Setting this to 0 will show all whale transactions, higher settings will only show the biggest transactions.
Blockchain: The Chain on which Whale activity is tracked.
Crypto Terminal [Kioseff Trading]Hello!
Introducing Crypto Terminal (:
The indicator makes use of cryptocurrency data provided by vendor INTOTHEBLOCK.
NOTE: The cryptocurrency on your chart must be paired with USD or USDT. Data won't load otherwise - possibly transient. For instance, BTCUSD or BTCUSDT, ETHUSD or ETHUSDT.
Provided datasets:
Twitter Sentiment Data
Telegram Sentiment Data
Whale Data (i.e. % of Asset Belonging to Whales)
$100,000+ Transactions
Bulls/Bears (Bulls Buying | Bears Selling)
Current Position PnL (Currently Open Positions for the Coin are Retrieved and Plotted. Data is Split into Currently Profitable Positions, Losing Positions, and B/E Positions)
Average Balance
Holders/Traders Percentage (Addresses are Retrieved and Classified as Holding Accounts or Trader Accounts)
Correlation
Futures OI
Perpetual OI
Zero Balance Addresses
Flow (Money Inflow & Outflow)
Active Addresses
Average Transaction Time
Realized PnL (Addresses with Realized Profits, Realized Losses, and B/E)
Cruisers
A few more data points are provided.
Additionally, you can plot the values of any dataset in a pane below price.
Below are images of plottable data; different cryptocurrencies will be shown for each example (:
Twitter sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Telegram sentiment data.
Assess this data lightly; difficult to confirm accuracy.
Percentage of asset belonging to whales.
$100,000+ transactions (volume oriented)
Bulls buying; bears selling.
Current positions at profit; current positions at loss; current positions at breakeven.
Average balance.
Percentage of asset belonging to traders; percentage of asset belonging to holders.
Asset's 30-interval correlation to BTC.
Perpetual open interest.
Zero-balance addresses.
Flows.
Active addresses.
Average transaction time.
Addresses at realized profit; addresses at realized loss; addresses at breakeven.
Cruiser data.
Futures open interest.
Naturally, this data isn't provided for every cryptocurrency; NaN values are returned in some instances.
Table 1
I provided three data tables, which load independently, so you don't have to change plotted data to access values.
Table 2
Lastly, you can create a 10-asset crypto index and run calculations against it.
The image shows an example.
I'll update this script with additional calculations/data in the near future. If you've any suggestions - please let me know!
Enjoy (:
Whale Momentum Wave Oscillator//Credits: @Noldo - Whale Trading System @rumpypumpydumpy - ALMA Ribbons @QuantNomad - Elastic Volume Weighted Moving Average
Composite Indicator, created by taking QuantNomad's EVWMA and using that as input for a variation of rumpypumpydumpy's ALMA Ribbons. Each Ribbon had its sub ribbons summed up and then averaged. The averages were then fed through the ta.rsi and the ta.mom functions giving us our momentum waves. Signal line created from the close value being fed through the ta. ema into the ta.rsi then ta.wma then ta.mom function. Why those in that order? No reason in particular just what I stumbled upon after many variations. I then overlayed Noldo's Whale Trading System to view what "whales" were doing, giving us a good view of when capital is flowing into and out the asset which often contradicts the momentum waves prior to trend changes. Provides a nice visual for how capital is moving along with momentum. Can see when smart money is buying up a big dip or of they seem to still be waiting on the sidelines.
Weekly Volume HeatmapThis tool is designed to visualize how the trading volume of each asset changes during the week.
How to use
This tool can help us better understand the market and answer many questions, such as:
◽ How to avoid getting stop hunted?
Typically, trading volume decreases at certain times of the week, which is the best time for large holders to manipulate the market. Low volume means there is less liquidity in the market. Large transactions in an illiquid market can cause large price changes.
Large holders (whales) have enough capital to push the price in the desired direction to trigger a cascade of stop-loss orders which can move the price further.
After a stop hunt, the market typically reverses, leaving stop hunted traders behind.
It is best to avoid using stop-loss orders and leveraged trading during these hours of the week.
◽ When’s the best time to make decisions
During some hours of the week the trading volume usually decreases; at these times, most traders are inactive and do not participate in transactions.
Therefore, the price changes that occur during these times lack conviction.
It is better to make decisions when there are more active traders in the market. At these periods, a relatively high trading volume is usually observed.
How it works
First, it calculates the average traded volume of each period (for example Monday 9:00 AM) from the first bar to the last bar. It then calculates the ratio of the average traded volume in each period to the average traded volume per week. Finally, the result is displayed as a percentage in each cell.
Different values are distinguished by different background colors. Light colors are used for low values and dark colors are used for high values.
Limits
It only works in the 1 hour time frame.
Samples
Stock => AAPL
Futures => ES1!
Forex => EURUSD
Whale Alert CryptoBase on BTC
Green Tag: Whale buy in/FOMO
Red Tag: Whale build short position (Lighten up)
Purple Tag: just run
Volume Pressure AnalysisVolume Pressure Analysis is a new concept I have been working on designed to show the effort required to move price. An ideal tool for confirming trends or locating reversals early. This indicator can highlight whale action and market manipulation. It calculates volume vs volatility and displays the results as a meter:
Above 0 shows how easy price action is traveling, the bigger these bars the less volume and effort is required to push price. These are indicated with a teal or red arrows and can confirm the beginning or continuation of a trend. This is the natural direction the chart wants to travel at that time.
Below 0 shows how hard price is to move. The bigger these bars the more volume and effort is required to push price. When whales and market makers push price against its will these bars will get bigger.
Yellow arrows signal pressure in that direction and excessive amounts of volume is required to move price. These signals can lead to reversal/ pivot points as price action struggles to continue its trend. These signals can be turned on in settings or use the overlay version of this script to display signals on chart. This is a very powerful tool when used with relative volume.
Retail Bomber MK1Handydandy tool to wait for the whales to wake up and start trading.
Each Zone has a schedule (call it market session) and pumps and dumps can be seen on specific times.
And for each zone you can either Highlight the background of just the start time, the whole session, or color the bars instead of changing the background.
Each zone is already set for a specific market open (session open): ASIA, UK, SYDNEY, NY + other 2 extra zones.
All of this is customisable 🙂
To set the time configuration, it goes like this:
1230:1330:1234567
1230:1330 is the period of time you want to study
1234567 are the days of the week, where 1=Sunday...And you fall on 7=Saturday
Example: If we want to study the same ranges from Monday to Friday only, it goes like: 1230 1330:23456
Colors can be editable
Labels for each session can be changed too.
Still testing it.
Bybit Futures ShortsThe whales love to short! This indicator emulates a strategy used by institutions to find short entries. It is designed for use on the Bybit exchange 4hr futures contracts but can be used on any timeframe on any Bybit contract. This is a great way to short with the whales. Please note this only works with Bybit.
Below is an example on 4hr chart:
Below is an example on 1hr chart:
Below is an example on Daily chart:
Good Luck!
Relative Volume - ETHEREUMRelative Volume indicator that pulls data from 9 different Ethereum exchanges. Please note that this indicator only works with ETH and will not use data from your current chart.
Includes the following exchanges:
BYBIT:ETHUSD
BITFINEX:ETHUSD
BITSTAMP:ETHUSD
INDEX:ETHUSD
COINBASE:ETHUSD
FTX:ETHUSD
PHEMEX:ETHUSD
BITTREX:ETHUSD
POLONIEX:ETHUSDT
