Uptrick: Crypto Volatility Index** Crypto Volatility Index(VIX) **
Overview
The Crypto Volatility Index (VIX) is a specialized technical indicator designed to measure the volatility of cryptocurrency prices. Leveraging advanced statistical methods, including logarithmic returns and variance, the Crypto VIX offers a refined measure of market fluctuations. This approach makes it particularly useful for traders in the highly volatile cryptocurrency market, providing insights that traditional volatility indicators may not capture as effectively.
Purpose
The Crypto VIX aims to deliver a nuanced understanding of market volatility, tailored specifically for the cryptocurrency space. Unlike other volatility measures, the Crypto VIX employs sophisticated statistical methods to reflect the unique characteristics of cryptocurrency price movements. This makes it especially valuable for cryptocurrency traders, helping them navigate the inherent volatility of digital assets and manage their trading strategies and risk exposure more effectively.
Calculation
1. Indicator Declaration
The Crypto VIX is plotted in a separate pane below the main price chart for clarity:
indicator("Crypto Volatility Index (VIX)", overlay=false, shorttitle="Crypto VIX")
2. Input Parameters
Users can adjust the period length for volatility calculations:
length = input.int(14, title="Period Length")
3. Calculating Daily Returns
The daily returns are calculated using logarithmic returns:
returns = math.log(close / close )
- **Logarithmic Returns:** These returns provide a normalized measure of price changes, making it easier to compare returns over different periods and across different assets.
4. Average Return Calculation
The average return over the specified period is computed with a Simple Moving Average (SMA):
avg_return = ta.sma(returns, length)
5. Variance Calculation
Variance measures the dispersion of returns from the average:
variance = ta.sma(math.pow(returns - avg_return, 2), length)
- Variance : This tells us how much the returns deviate from the average, giving insight into how volatile the market is.
6. Standard Deviation (Volatility) Calculation
Volatility is derived as the square root of the variance:
volatility = math.sqrt(variance)
- Standard Deviation : This provides a direct measure of volatility, showing how much the price typically deviates from the mean return.
7. Plotting the Indicator
The volatility and average return are plotted:
plot(volatility, color=#21f34b, title="Volatility Index")
plot(avg_return, color=color.new(color.red, 80), title="Average Return", style=plot.style_columns)
Practical Examples
1. High Volatility Scenario
** Example :** During significant market events, such as major regulatory announcements or geopolitical developments, the Crypto VIX tends to rise sharply. For instance, if the Crypto VIX moves from a baseline level of 0.2 to 0.8, it indicates heightened market volatility. Traders might see this as a signal to adjust their strategies, such as reducing position sizes or setting tighter stop-loss levels to manage increased risk.
2. Low Volatility Scenario
** Example :** In a stable market, where prices fluctuate within a narrow range, the Crypto VIX will show lower values. For example, a drop in the Crypto VIX from 0.4 to 0.2 suggests lower volatility and stable market conditions. Traders might use this information to consider longer-term trades or take advantage of potential consolidation patterns.
Best Practices
1. Combining Indicators
- Moving Averages : Use the Crypto VIX with moving averages to identify trends and potential reversal points.
- Relative Strength Index (RSI): Combine with RSI to assess overbought or oversold conditions for better entry and exit points.
- Bollinger Bands : Pair with Bollinger Bands to understand volatility relative to price movements and spot potential breakouts.
2. Adjusting Parameters
- Short-Term Trading : Use a shorter period length (e.g., 7 days) to capture rapid volatility changes suitable for day trading.
- Long-Term Investing : A longer period length (e.g., 30 days) provides a smoother view of volatility, helping long-term investors navigate market trends.
Backtesting and Performance Insights
While specific backtesting data for the Crypto VIX is not yet available, the indicator is built on established principles of volatility measurement, such as logarithmic returns and standard deviation. These methods are well-regarded in financial analysis for accurately reflecting market volatility. The Crypto VIX is designed to offer insights similar to other effective volatility indicators, tailored specifically for the cryptocurrency markets. Its adaptation to digital assets and ability to provide precise volatility measures underscore its practical value for traders.
Originality and Uniqueness
The Crypto Volatility Index (VIX) distinguishes itself through its specialized approach to measuring volatility in the cryptocurrency markets. While the concepts of logarithmic returns and standard deviation are not new, the Crypto VIX integrates these methods into a unique framework designed specifically for digital assets.
- Tailored Methodology : Unlike generic volatility indicators, the Crypto VIX is adapted to the unique characteristics of cryptocurrencies, providing a more precise measure of price fluctuations that reflects the inherent volatility of digital markets.
- Enhanced Insights : By focusing on cryptocurrency-specific price behavior and incorporating advanced statistical techniques, the Crypto VIX offers insights that traditional volatility indicators might miss. This makes it a valuable tool for traders navigating the complex and fast-moving cryptocurrency landscape.
- Innovative Application : The Crypto VIX combines established financial metrics in a novel way, offering a fresh perspective on market volatility and contributing to more effective risk management and trading strategies in the cryptocurrency space.
Summary
The Crypto Volatility Index (VIX) is a specialized tool for measuring cryptocurrency market volatility. By utilizing advanced statistical methods such as logarithmic returns and standard deviation, it provides a detailed measure of price fluctuations. While not entirely original in its use of these methods, the Crypto VIX stands out through its tailored application to the unique characteristics of the cryptocurrency market. Traders can use the Crypto VIX to gauge market risk, adjust their strategies, and make informed trading decisions, supported by practical examples, best practices, and clear visual aids.
Recherche dans les scripts pour "crypto"
Open Interest OscillatorIn the middle of a bustling cryptocurrency market, with Bitcoin navigating a critical phase and the community hype over potential ETF approvals, current funding rates, and market leverage, the timing is optimal to harness the capabilities of sophisticated trading tools.
Meet the Open Interest Oscillator – special indicator tailored for the volatile arena of cryptocurrency trading. This powerful instrument is adept at consolidating open interest data from a multitude of exchanges, delivering an in-depth snapshot of market sentiment across all timeframes, be it a 1-minute sprint or a weekly timeframe.
This versatile indicator is compatible with nearly all cryptocurrency pairs, offering an expansive lens through which traders can gauge the market's pulse.
Key Features:
-- Multi-exchange Data Aggregation: This feature taps into the heart of the crypto market by aggregating open interest data from premier exchanges such as BINANCE, BITMEX, BITFINEX, and KRAKEN. It goes a step further by integrating data from various pairs and stablecoins, thus providing traders with a rich, multi-dimensional view of market activities.
-- Open Interest Bars: Witness the flow of market dynamics through bars that depict the volume of positions being opened or closed, offering a clear visual cue of trading behavior. In this mode, If bars are going into negative zone, then traders are closing their positions. If they go into positive territory - leveraged positions are being opened.
-- Bollinger Band Integration: Incorporate a layer of statistical analysis with standard deviation calculations, which frame the open interest changes, giving traders a quantified edge to evaluate the market's volatility and momentum.
-- Oscillator with Customizable Thresholds: Personalize your trading signals by setting thresholds that resonate with your unique trading tactics. This customization brings the power of tailored analytics to your strategic arsenal.
-- Max OI Ceiling Setting: In the fast-paced crypto environment where data can surge to overwhelming levels, the Max OI Ceiling ensures you maintain a clear view by capping the open interest data, thus preserving the readability and interpretability of information, even when market activity reaches feverish heights.
Kimchi Premium / Korean Premium ALL TICKERSKimchi Premium
Due to the isolated nature of Korean crypto markets, Koreans pay a hefty premium on most cryptos. (Usually ranging from 3% to 5%). This is colloquially known as the " Kimchi Premium ".
Uses
The extend of this premium can be used to gauge Korean sentiment towards certain tickers. Most of the insane alt coin rallies that are started by Korean degens are missed by foreign traders entirely. This script seeks to fix that.
Notes
This script automatically detects your current ticker and compares the USDT pair to the KRW pair after adjusting for exchange rate.
Works on all USDT, USDC, BUSD, FDUSD, USD, USDT.P, USDC.P or KRW pairs. Will obviously throw an error if your ticker has no KRW pairing.
Blockunity Stablecoin Liquidity (BSL)Monitor the liquidity of the crypto market by tracking the capitalizations of the major Stablecoins.
Stablecoin Liquidity (BSL) is an ideal tool for visualizing data on major Stablecoins. The number of Stablecoins in circulation is one of the best indices of liquidity within the crypto market. It’s an important metric to keep an eye on, as an increase in the number of Stablecoins in circulation offers a great opportunity to see cryptoasset prices rise. The tool’s multiple on-board display modes enable analysis of its data in the best possible conditions.
The Idea
The goal is to provide the community with the ideal tool to visualize the liquidity of the crypto market, via the state of the market capitalizations of the major Stablecoins.
How to Use
The tool is very easy to use and interpret. First of all, let's distinguish two main elements:
The chart as 3 distinct display modes to let you observe data in the best possible conditions.
There is a panel that summarizes the market capitalizations of the main Stablecoins.
Display Mode: Cumulative
In Cumulative mode (default), the different capitalizations are displayed one on top of the other with colored bands.
You can see that when the number of Stablecoins in circulation increases, crypto asset prices enter an uptrend. And if the liquidity of Stablecoins dries up, the trend will become bearish.
Display Mode: Aggregated
Aggregated mode displays a single line, which is the sum of the different capitalizations, varying between green and red depending on the state of this data according to its moving average declared in the 'Aggregated MA Lengh' field.
You can thus easily see trend changes and therefore opportunities to enter or exit the crypto market.
Display Mode: Independent
The Independent mode also displays the different capitalizations, but detached from each other with labels.
This display mode is particularly interesting for studying transfers from one Stablecoin to another, as can be seen below.
Other Settings
You can choose whether or not to include each of the Stablecoins data, and configure their display color. Note that in 'Cumulative' display mode, the data is taken into account even if the box is unchecked.
How it Works
The tool works in a simple way: We take the market capitalization data of the Stablecoins that interest us, then we process them according to the different display modes.
Let us know if you would like other ways of visualizing this data!
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.
All Time High Warning - Free Cryptohopper WidgetWelcome to our Tradingview coin prediction filter.
We designed this script to give Cryptohopper users the possibility to set up an alarm when btc is close to All Time High. Cause of the BTCs behavior as the supertrend coin for the market it is better to turn your hopper off or be extremly careful when BTC is close to ATH.
We recommend deactivating the hopper and deleting all positions. The risk of a larger drop is very high in this marketphase.
Smartgrow-Trading is a community project with the aim of developing the best and most successful trading strategies and sharing them with the community.
The basic idea of this script is to calculate how far an coin is away from its ATH, to gave warning signals for deactivating coins after they reached there ATH. So it could also be used for other coins and pairs.
If there are questions, write them into the comments or contact us directly over the direct message or social media. Happy Trading!
Tether Market Cap - {Cross-Exchange} Tether Market Cap Indicator
Keep track of tether movements cross exchange & total market cap in real-time.
Never miss a movement in the Tether market.
How it works
Starts by selecting the security "CRYPTOCAP:USDT" with, period, close,
The script will then call on each exchange listed to get the usdt_supply from each exchange.
It will then print the data to the indicator as such:
Yellow = Total Tether Market Cap
Orange = Kraken Supply USDT
Red = Poloniex Supply USDT
Green = Bitfinex Supply USDT
REAL STRATEGY : Dow_Factor_MFI/RSI_DVOG_StrategyI'm actually one of those who think it's more important to extract clues from indicators than strategy, but I wanted to test the data about the probability and dow factor I've shared for a long time.
Usually, Bitcoin is used as an eye stain for strategy success, since the graph has increased significantly from the beginning.
To prevent this, I used a commission and in the last lines of document I shared Bitmex's Bitcoin and Ethereum 1W test results.
I don't think there's a factor to repaint. ( Warn me if u see or observe )
I considered Bitcoin because I found working with liquid parities much more realistic.
Ethereum and Bitmex have been featured as a spot and may soon find a place at the CME , so I've evaluated the Ethereum .
But since the Ethereum Bitmex was also spot new, I deleted results that were less than 10 closed trades.
Since the Dow Theory also looks at the harmony in the indices, just try it in the Cryptocurrency market.
Use as indicator in other markets. Support with channels, trend lines with big periods and other supportive indicators.
And my personal suggestion : Use this script and indicator TF : 4H and above.
Specifications :
Commission. ( % 0.125 )
Switchable Methods ( Relative Strength Index / Money Flow Index )
Alarms. (Buy / Sell )
Position closure when horizontal market rates weighs.
Progressive gradual buy/sell alarms.
Clean code layout that will not cause repaint. (Caution : source = close )
Switchable barcolor option (I / 0 )
*****Test results :*****
drive.google.com
Summary:
It was a realistic test.
It has achieved great success in some markets, but as I mentioned earlier, use it only to gain insight into the price movements of cryptos.
Use as indicator in other markets.
This code is open source under the MIT license. If you have any improvements or corrections to suggest, please send me a pull request via the github repository : github.com
Stay tuned ! Noldo.
SHIT35 Alt Index (ROC or Volume) [LucF]SHIT35 is an index of 35 Binance alt/BTC pairs. It provides traders with a more reliable read of BTC pairs price movement than the often uncorrelated USD market cap standard.
Because it must read data coming from 35 markets, SHIT35 is painfully slow and should be kept hidden most of the time. Its features will hopefully seduce traders in using it nonetheless for market analysis.
Features
The Index can be calculated using 4 different modes:
1. Total of instant rate of change for all 35 markets ,
2. Cumulative total of ROCs,
3. Average of ROCs,
4. Plus/Minus volume (an aggregate OBV, if you will).
Select only one of the methods at a time to prevent confusion between modes.
An option allows showing the correlation between the Index as it is configured, and another instrument (CRYPTOCAP:TOTAL2 by default).
Markers can be used to identify abnormal movements in the Index. They are generated using Index exits from Bollinger bands.
The chart shows the Index with, from top to bottom, the default mode with BTC pairs, with USDT pairs, then mode 2 and 4 for BTC pairs.
Index Components
The Index is not weighed. The 35 instruments composing the index all have equivalents in the USDT quote currency on Binance, so you can easily change to those pairs using the Settings. Choosing another exchange or quote currency will require modifications to the list of instruments in the indicator’s code, since if one of the markets cannot be found, the indicator will not work. If the instrument exists but has no history for some bars, zero values will be used for them.
Watchlists
I have created a watchlist for the 35 markets in each of the BTC and USDT quote currencies. To import the watchlists, save the text you’ll find at these links in a file named the way you want your watchlist to be named and import them using the “Import Watchlist…” function.
BTC Watchlist: pastebin.com
USDT Watchlist: pastebin.com
Alerts
You can define alerts on any combination of markers you configure. After defining the markers you want the alert to trigger on, make sure you are on the interval you want the alert to be monitoring at, then create the alert, select the indicator, use the default alert condition and choose your triggering window (usually “Once Per Bar Close”). Once the alert is created, you can change the indicator's inputs with no effect on the alert.
MACD + Stochastic + RSI StrategyMy strategy uses a combination of three indicators MACD Stochastic RSI.
The Idea is to buy when (MACD > Signal and RSI > 50 and Stochastic > 50) occures at the same time
This strategy works well on stocks and cryptos especially during market breaking up after consolidation
The best results are on Daily charts, so its NOT a scalping strategy. But it can work also on 1H charts.
The strategy does not have any stops and profit targets, so we can take all the market can give us at the moment.
The exit point only when MACD goes under Signal
Its Preformance is quite stable.
So, use it, trade it.
If it will help you to imprive your trading results, please donate me
BTC: 12kd1F8buWisUBdq27BBwRkUvzW7Ey3og5
Bitfinex Margin VolumesQuick view on longs/short margin positions on Bitfinex for current Crypto Symbol.
Ranked Exchange Volume (REV)📊 Ranked Exchange Volume (REV) - Multi-Venue Volume Distribution Visualizer
## Stop Guessing Where the Real Volume Is. See It.
Most traders look at aggregate volume and miss the critical story: **where** that volume actually traded. Ranked Exchange Volume (REV) solves this by revealing the complete liquidity landscape across multiple trading venues in a single, elegant visualization.
This isn't just another volume indicator—it's a **dynamic stratified histogram** that automatically reorganizes exchange layers by magnitude on every bar, showing you **instant market dominance** at a glance.
---
## 🎯 The Core Innovation: Self-Organizing Volume Layers
REV displays volume from up to 10 different exchanges as **stacked, color-coded bars** where the largest volume source literally rises to the top. Watch as exchanges compete for dominance in real-time:
- **Largest volume = Top of the bar** (most visible position)
- **Smallest volume = Bottom of the bar** (foundation layer)
- **Everything in between = Automatically sorted on every candle**
This visual hierarchy makes it instantly obvious which venues are leading the market—no mental math required.
---
## ✨ Key Features
### 🔄 **Dynamic Layer Sorting**
Unlike static stacked charts, REV uses real-time stratification. If Binance had 60% of volume last bar but Coinbase takes 70% this bar, you'll see Coinbase jump to the top. The hierarchy reflects current reality, not a fixed order.
### 🎨 **10 Fully Customizable Exchange Slots**
Each exchange slot offers complete control:
- **Enable/Disable toggle** - Turn exchanges on/off without losing your configuration
- **Custom prefix** - Track ANY exchange on TradingView (BINANCE, KRAKEN, OANDA, FXCM, etc.)
- **Custom suffix** - Specify quote currency (USDT, USD, EUR, or leave blank for stocks/forex)
- **Display name** - Control how exchanges appear in the rankings table
- **Color selection** - Match your chart theme or use brand colors for instant recognition
### 📊 **Live Rankings Table**
A real-time leaderboard shows:
- **Rank** - Current position (1 = highest volume)
- **Exchange name** - With color-coded background
- **Volume** - Intelligently formatted with K/M/B units
- **Percentage** - Exact market share
**Table positioning:** Choose from 9 screen positions (top/middle/bottom × left/center/right) to keep your chart clean.
### 🧮 **Intelligent Volume Formatting**
REV automatically detects volume magnitude and applies the appropriate scale:
- **Billions** - Displays as "1.5B" for readability
- **Millions** - Displays as "342.8M"
- **Thousands** - Displays as "45.2K"
- **Full numbers option** - Toggle to see complete values (23,456,789)
The scale adjusts per-bar, so you always see the clearest representation.
### 🚨 **Three Built-In Alert Conditions**
1. **Exchange Dominance Alert (>50%)**
- Triggers when a single venue controls majority of volume
- Signals potential liquidity concentration risk or exchange-specific events
2. **Volume Spike Alert (>2x average)**
- Detects unusual aggregate activity across all venues
- Catches breakouts, news events, or institutional flow
3. **Liquidity Migration Alert**
- Fires when market leadership shifts between exchanges
- Reveals arbitrage opportunities or changing market structure
### 📈 **Optional Total Volume Line**
Display aggregate volume from all exchanges as a reference overlay with customizable color.
---
## 🌍 Market Compatibility: Beyond Crypto
While optimized for cryptocurrency (its primary design), REV works across multiple asset classes:
### ✅ **Cryptocurrency (Perfect Fit)**
**Why it excels:** Crypto trades 24/7 across dozens of global exchanges simultaneously. REV reveals true price discovery.
**Example configurations:**
- **BTC/USDT:** Compare Binance, Coinbase, OKX, Bybit, Kraken, Bitget
- **ETH/USD:** Track institutional venues (Coinbase, Kraken, Gemini) vs retail (Binance, Gate.io)
- **Altcoins:** Identify which exchanges have the deepest liquidity before placing large orders
**Trading applications:**
- **Arbitrage detection** - Spot when volume migrates between venues (price differential opportunities)
- **Exchange risk** - Don't trade on exchanges with suspiciously low volume
- **Whale tracking** - Sudden Coinbase dominance often signals institutional activity
- **Market maker identification** - Consistent Binance leadership suggests MM concentration
### ✅ **Forex (Excellent Fit)**
**Why it works:** Forex doesn't have centralized exchanges—it trades OTC across multiple broker feeds. REV shows which data providers are seeing the action.
**Example configurations:**
- **EUR/USD:** Compare OANDA, FXCM, FOREX.COM, FX_IDC, CAPITALCOM
- **GBP/JPY:** Track volatility across broker feeds
- **Exotics:** Verify liquidity before trading thin pairs
**Setup notes:**
- Leave **suffix field blank** for forex
- Use broker prefixes: OANDA, FXCM, FOREXCOM, FX_IDC, SAXO
- Symbol constructs as "OANDA:EURUSD"
**Trading applications:**
- **Spread verification** - Higher volume feeds typically offer tighter spreads
- **News event tracking** - See which brokers capture the most flow during announcements
- **Session analysis** - Watch London/NY volume shifts across different providers
### ⚠️ **Stocks (Limited But Useful)**
**Where it works:**
- **Dual-listed stocks** - Canadian companies on TSX and NYSE
- **International ADRs** - Same company, different exchanges
- **ETF arbitrage** - Compare volume across regional listings
**Example configurations:**
- **Shopify (SHOP):** Compare TSX vs NYSE volume
- **Alibaba (BABA):** NYSE vs HKEX volume
- **European stocks:** Compare primary exchange vs secondary listings
**Setup notes:**
- Leave **suffix field blank**
- Use exchange prefixes: NYSE, NASDAQ, TSX, LSE, XETRA
- Note: TradingView doesn't show per-venue volume for U.S. equities (NYSE vs BATS vs ARCA all aggregate)
**Limitations:** Most stocks trade primarily on one exchange, so REV is less valuable than in crypto/forex.
### ❌ **Futures (Not Recommended)**
Futures contracts differ by exchange (CME's ES ≠ EUREX's FESX), so volume isn't comparable.
---
## 📚 Practical Use Cases
### 1. **Pre-Trade Liquidity Analysis**
Before entering a large position, check which exchanges have sufficient volume to fill your order without slippage.
**Example:** You want to sell 50 BTC. REV shows Binance has 2,340 BTC volume this hour while a smaller exchange has only 87 BTC. Route your order to Binance for better execution.
### 2. **Exchange Risk Management**
Identify "fake volume" or wash trading by comparing venues.
**Red flag pattern:** An exchange consistently shows 10x the volume of competitors but with minimal price impact—likely artificial.
### 3. **Arbitrage Opportunity Detection**
When volume suddenly concentrates on one exchange, price premiums/discounts often appear.
**Alert pattern:** Liquidity Migration alert fires → Check price differences → Execute arb if spread exceeds fees.
### 4. **Institutional Flow Tracking**
In crypto, institutions typically use regulated exchanges (Coinbase, Kraken, Gemini).
**Pattern to watch:** Coinbase volume spikes to 60%+ dominance → Often precedes directional moves as institutions position.
### 5. **Market Structure Analysis**
Watch long-term trends in exchange dominance to understand market evolution.
**Example insight:** "Binance's market share has dropped from 70% to 45% over 6 months as traders diversify to OKX and Bybit."
### 6. **Event Response Comparison**
During major news events, see which exchanges react first.
**Analysis:** If one exchange shows volume spike 5 minutes before others, that feed may have faster news incorporation.
---
## ⚙️ Technical Specifications
- **Maximum exchanges:** 10 simultaneous venues
- **Sorting algorithm:** Bubble sort (O(n²) but optimal for n=10, prioritizes stability)
- **Update frequency:** Real-time, every bar
- **Data handling:** Gracefully ignores invalid symbols, treats NA as zero
- **Chart type:** Non-overlay (separate pane below price)
- **Performance:** Lightweight, no lag on any timeframe
---
## 🚀 Getting Started
### Quick Setup (5 Minutes)
**For Crypto Traders (Default Configuration):**
1. Add indicator to any crypto chart (BTC, ETH, SOL, etc.)
2. Works immediately—top 10 exchanges pre-configured
3. Customize colors if desired
4. Position table to your preference
**For Forex Traders:**
1. Open any forex pair (EUR/USD, GBP/JPY, etc.)
2. Go to Exchange 1 settings
3. Change prefix to "OANDA" (or your preferred broker)
4. **Clear the suffix field** (leave it blank)
5. Repeat for other exchanges (FXCM, FOREXCOM, FX_IDC, etc.)
6. Disable any unused exchange slots
**For Stock Traders (Dual-Listed):**
1. Open a dual-listed stock (e.g., SHOP on TSX)
2. Exchange 1: Prefix = "TSX", Suffix = blank, Name = "Toronto"
3. Exchange 2: Prefix = "NYSE", Suffix = blank, Name = "New York"
4. Disable exchanges 3-10
5. Compare volume distribution
### Advanced Customization
**Tracking Regional Markets:**
Want to compare Korean vs Japanese crypto exchanges?
- Exchange 1: UPBIT (Korean)
- Exchange 2: BITHUMB (Korean)
- Exchange 3: BITFLYER (Japanese)
- Exchange 4: COINCHECK (Japanese)
**Isolating Institutional Volume:**
Focus only on regulated U.S. exchanges:
- Enable: Coinbase, Kraken, Gemini
- Disable: All others
- Watch for >50% dominance alerts
---
## 👥 Who Is This For?
### ✅ **Perfect for:**
- **Crypto day traders** - Need to know where liquidity actually is
- **Arbitrage traders** - Spot cross-exchange inefficiencies
- **Institutional traders** - Validate execution venues before large orders
- **Forex scalpers** - Compare broker feeds for best execution
- **Market structure analysts** - Track long-term exchange dominance trends
### ❌ **Less useful for:**
- **Long-term investors** who don't care about short-term liquidity
- **Single-exchange traders** who never compare venues
- **Futures traders** (contracts differ by exchange)
---
## 🎓 Understanding the Visualization
**What each colored segment means:**
Each horizontal stripe represents one exchange's volume contribution. The **height** of each stripe shows that exchange's volume relative to others.
**Reading the pattern:**
- **Dominant top layer** (50%+ of bar) = Clear market leader
- **Evenly distributed layers** (10-15% each) = Fragmented liquidity
- **Sudden layer reorganization** = Liquidity migration event
- **Shrinking bottom layers** = Exchanges losing market share
**Color coding strategy:**
The indicator defaults to exchange brand colors for instant recognition:
- Yellow = Binance (their signature gold)
- Blue = Coinbase (their brand blue)
- Purple = Kraken (their brand purple)
- etc.
You can customize all colors to match your chart theme.
---
## 🔧 Configuration Tips
### **Best Practices:**
1. **Start with defaults** - Test on BTC/USDT to understand behavior
2. **Disable unused exchanges** - Cleaner visualization, faster computation
3. **Match your trading venues** - Only track exchanges you actually use
4. **Use brand colors initially** - Helps build visual pattern recognition
5. **Enable alerts strategically** - Don't spam yourself; focus on actionable signals
### **Common Mistakes to Avoid:**
❌ Tracking too many irrelevant exchanges (creates visual noise)
❌ Forgetting to clear suffix for forex/stocks (symbol won't construct properly)
❌ Using the same color for multiple exchanges (defeats instant recognition)
❌ Hiding the table permanently (you lose the percentage data)
---
## 📊 Performance Notes
- **Lightweight computation** - No impact on chart performance
- **Works on all timeframes** - 1-minute to monthly
- **Historical analysis** - Full bar history available (max_bars_back=5000)
- **Multi-monitor friendly** - Table positioning adapts to any screen layout
---
## 🆕 Future Enhancements (Planned)
While the current version is feature-complete, potential additions include:
- Volume-weighted average price (VWAP) overlay per exchange
- Historical dominance charts (which exchange led most this week/month)
- Correlation matrix (do exchanges move together or independently?)
**User feedback shapes development** - Comment with your requests!
---
## 💡 Pro Tips
### **Tip 1: The "Whale Exchange" Filter**
In crypto, institutions use Coinbase/Kraken. Enable ONLY these two exchanges to isolate professional flow and ignore retail noise.
### **Tip 2: The "Arbitrage Scanner"**
Set Liquidity Migration alert on 1-minute timeframe. When it fires, check price across exchanges—often there's a temporary premium/discount.
### **Tip 3: The "Liquidity Gauge"**
Before placing a large market order, switch to 5-minute timeframe and check last 10 bars. If your target exchange consistently has <20% of volume, you'll face slippage.
### **Tip 4: The "Market Structure Tracker"**
Take screenshots of the table weekly. Over time, you'll see exchange market share trends that reveal fundamental shifts in trader preferences.
### **Tip 5: The "News Event Validator"**
During major announcements (Fed decisions, earnings, etc.), watch which exchange shows volume first. That's where informed traders are positioned.
---
## 🎯 Summary
**Ranked Exchange Volume (REV) transforms volume analysis from a single number into a complete market microstructure view.**
Instead of seeing "1.2M volume," you see:
- Binance: 640K (53%)
- Coinbase: 280K (23%)
- OKX: 180K (15%)
- Bybit: 100K (9%)
**That's actionable intelligence.**
Whether you're executing a large crypto trade, arbitraging forex across brokers, or validating liquidity before buying a dual-listed stock, REV shows you **where the market actually is**—not where you assume it is.
---
## 📖 Quick Reference Card
| Feature | What It Does | Why It Matters |
|---------|-------------|----------------|
| **Dynamic Sorting** | Largest volume rises to top | Instant dominance identification |
| **10 Custom Slots** | Track any exchanges | Works for YOUR trading venues |
| **Live Rankings** | Real-time leaderboard | Precise market share data |
| **Smart Formatting** | Auto K/M/B scaling | Always readable, never cluttered |
| **Dominance Alert** | Warns at >50% concentration | Risk management for large orders |
| **Migration Alert** | Fires on leadership change | Arbitrage opportunity signal |
| **Spike Alert** | Detects 2x volume surges | Breakout/news confirmation |
| **Total Line** | Shows aggregate volume | Reference for overall activity |
| **Table Positioning** | 9 screen locations | Adapts to your layout |
| **Full/Short Toggle** | Complete vs abbreviated numbers | Flexibility for different assets |
---
## ✅ Installation & Support
**Install:** Add to your TradingView favorites, apply to any chart
**Updates:** Automatic through TradingView
**Support:** Comment with questions—active developer community
**Like this indicator?** Leave a ⭐ rating and share with fellow traders who need better volume intelligence.
---
**🚀 Start seeing the complete volume picture. Add Ranked Exchange Volume to your charts today.**
AIE Crypto BoxAIE Crypto Box
The AIE Crypto Box highlights the previous day’s high, low, and midpoint directly on your chart.
It draws a clean, light-blue range box with optional midline, extending into the current session to help traders identify key liquidity zones, support & resistance, and breakout levels.
Designed for intraday traders and scalpers, the box provides a clear market framework for session opens, range trading, and break-and-retest setups.
Best used on lower timeframes (1m–15m).
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 1 H### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
MEGA Sector Rotation CRYPTOCAP - 7 Narrativas 5m### MEGA Sector Rotation CRYPTOCAP - 7 Narratives
**Description for publishing on TradingView:**
This advanced indicator lets you visualize in real time the **rotation of narratives** within the crypto market through 7 key sectors, normalized for perfect side-by-side comparison.
Each line represents the **historical relative strength** (min-max normalization over 5000 bars) of a specific narrative, based on TradingView's official aggregated market caps (CRYPTOCAP) and custom sums. The lines oscillate between 0 and 100, with clear crossovers signaling when a sector is gaining or losing momentum relative to the others.
**The 7 narratives included:**
1. **Layer1** (pink) – Aggregated market cap of major Layer 1 blockchains.
2. **Memecoins** (bright green) – Official MEME.C sector (PEPE, SHIB, WIF, BONK, etc.).
3. **AI** (orange) – Artificial Intelligence and Big Data narrative.
4. **Exchanges** (purple) – Exchange tokens (centralized and decentralized).
5. **DeFi Total** (cyan) – Full aggregated market cap of the DeFi ecosystem.
6. **RWA Custom** (brown) – Custom sum of Real World Assets: ONDO + LINK + CFG + SYRUP.
7. **Privacy** (dark orange) – Custom sum of privacy coins: XMR + ZEC + DASH.
**Quick interpretation:**
- Line >80 and rising → Narrative is **HOT** (strong bullish rotation).
- Line <20 → Narrative is **COLD** (losing strength).
- Bullish crossovers → Money rotating into that sector.
- Transparent fills between lines to highlight leadership zones.
**Features:**
- Optimized for **lower timeframes** (5m, 15m, 1H, 4H) → ideal for day trading and scalping narratives.
- Works on any TF thanks to 5-minute resolution data.
- Thick lines, vibrant colors, and horizontal references (20/50/80) for instant reading.
Perfect for spotting early which narrative is attracting capital flows and anticipating sector moves in the crypto market.
Add this indicator and trade rotations like a pro!
#crypto #sectorrotation #narratives #altcoins #tradingview
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity).
Liquidity is where the market is attracted.
Price does not move randomly — it moves from one liquidity pool to another.
With this indicator, you can:
• Visually mark IRL (internal liquidity resting inside the range)
• Identify ERL (external liquidity above highs & below lows)
• Understand where Smart Money targets stops
• Anticipate liquidity sweeps, fake breakouts, and reversals
• Improve entries, exits, and trade patience
This tool helps you stop guessing and start reading market intent.
Best used with:
Price Action
Market Structure
Smart Money Concepts (SMC)
Works across:
Stocks • Indices • Forex • Crypto
⚠️ This indicator does not give buy/sell signals.
It provides context, so you trade with logic, not emotions.
If you understand liquidity,
you understand where the market is going next.
Rachev Regime AnalyzerRachev Regime Analyzer ~ GForge
What It Does
Measures the ratio of extreme gains to extreme losses to identify whether markets favor bulls or bears. When your best moves are bigger than your worst moves, conditions are bullish. When the opposite is true, conditions are bearish.
Simple Interpretation:
Ratio > 1.2 → Bullish regime (tail gains exceed tail losses)
Ratio < 0.8 → Bearish regime (tail losses exceed tail gains)
Between → Neutral/transitional
Key Features
Two Modes:
Single Asset: Analyze current chart
Multi-Asset: Aggregate regime across 5 assets with custom weights (great for gauging overall crypto/market conditions)
Customizable:
Lookback period (20-200 bars)
Tail percentile (what counts as "extreme")
Bullish/bearish thresholds
6 color schemes
Optional MA smoothing
Visual Signals:
Buy/sell markers at threshold crosses
Background regime coloring
Info table with current values and confidence score
Configurable alerts
How to Use
Choose lookback period based on your timeframe (40-60 bars is a good start)
Watch for threshold crosses - these mark regime changes
Check confidence score - higher = more reliable
Use multi-asset mode to see if entire market is shifting (not just one coin)
Best combined with: Trend indicators, support/resistance, volume analysis
Parameters
Lookback: More bars = smoother, less responsive
Alpha (0.10): Defines extreme events - lower = more extreme
Thresholds: Adjust based on asset volatility
Return Type: Log returns recommended for most assets
What Makes It Useful
Unlike simple volatility measures, this shows asymmetry - whether extreme moves favor upside or downside. A ratio of 1.5 means your extreme gains are 50% larger than extreme losses - that's actionable information about risk-reward dynamics.
Multi-asset aggregation is particularly powerful for crypto traders wanting to gauge if BTC, ETH, SOL, etc. are all showing similar regime characteristics.
Disclaimer
Educational tool only. Not financial advice. Use proper risk management. No indicator works in isolation - always consider broader market context.
Developed by GForge
Comments and feedback welcome! 👍
ETH Dynamic Risk Strategy# ETH Dynamic Risk Strategy - Publication Description
## Overview
The ETH Dynamic Risk Strategy is a systematic approach to accumulating Ethereum during bear markets and distributing during bull markets. It combines multiple risk indicators into a single composite metric (0-1 scale) that identifies optimal buying and selling zones based on market conditions.
## Key Features
• **Multi-Component Risk Metric**: Combines 4 weighted indicators to assess market conditions
• **Tiered Buy/Sell System**: 3 levels of buy signals (L1, L2, L3) and 3 levels of sell signals based on risk thresholds
• **Configurable Filters**: Optional buy filters to reduce signal frequency by 30-50%
• **Visual Risk Zones**: Color-coded risk metric plot with clear threshold lines
• **Comprehensive Dashboard**: Real-time statistics including position size, P/L, and component scores
## How It Works
### Risk Components (Configurable Weights)
1. **Log Return from ATH** (Default: 35%)
- Tracks drawdown from all-time high over lookback period
- Deep drawdowns (-70% to -90%) = low risk / buying opportunity
- Near ATH (0% to -20%) = high risk / selling opportunity
2. **ETH/BTC Ratio** (Default: 25%)
- Measures ETH strength relative to Bitcoin
- Below historical average = ETH undervalued = low risk
- Above historical average = ETH overvalued = high risk
3. **Volatility Regime** (Default: 20%)
- Compares current volatility to long-term average
- Compressed volatility at lows = opportunity
- Expanded volatility at highs = danger
4. **Trend Strength** (Default: 20%)
- Uses multiple EMA alignment and slope analysis
- Strong downtrends = low risk scores
- Strong uptrends = high risk scores
### Trading Logic
**Buy Signals:**
- L1: Risk ≤ 0.30 → Buy $100 (default)
- L2: Risk ≤ 0.20 → Buy $250 total
- L3: Risk ≤ 0.10 → Buy $450 total
**Sell Signals (Sequential):**
- L1: Risk ≥ 0.75 → Sell 25% of position
- L2: Risk ≥ 0.85 → Sell 35% of remaining
- L3: Risk ≥ 0.95 → Sell 40% of remaining
**Buy Filters (Optional):**
- Minimum days between buys (prevents clustering)
- Minimum risk drop required (ensures falling risk)
- Toggle on/off to compare performance
## Settings Guide
### Risk Components
Toggle individual components on/off and adjust their weights. Total weight is automatically normalized. Experiment with different combinations to match your market view.
### Advanced Settings
- ATH Lookback: How far back to look for all-time highs (500-2000 recommended)
- Volatility Period: Window for volatility calculations (40-100 recommended)
- ETH/BTC MA Period: Moving average for ratio comparison (100-300 recommended)
- Trend Period: Base period for trend calculations (50-150 recommended)
### Trading Thresholds
Customize buy/sell trigger points and position sizes. Lower buy thresholds = more aggressive accumulation. Higher sell thresholds = holding longer into bull markets.
### Buy Filters
- Enable/disable filtering system
- Min Days Between Buys: Spacing between purchases (1-3 recommended)
- Min Risk Drop: How much risk must fall (-0.001 to -0.01 range)
## Best Practices
• **Timeframe**: Works best on daily (1D) and 3-day (3D) charts
• **Initial Capital**: Set based on your DCA budget (default $10,000)
• **Backtest First**: Test different parameter combinations on historical data
• **Position Sizing**: Adjust buy amounts to match your risk tolerance
• **Monitor Filters**: Check "Filtered Buys" stat to ensure filter isn't too strict
## Use Cases
- Long-term ETH accumulation strategy
- Systematic DCA with market-adaptive buying
- Risk-based portfolio rebalancing
- Educational tool for understanding crypto market cycles
## Disclaimer
This strategy is for educational purposes only. Past performance does not guarantee future results. Cryptocurrency trading involves substantial risk. The strategy uses historical price action and technical indicators which may not predict future movements. Always do your own research and never invest more than you can afford to lose.
## Credits
Strategy concept and development by nakphanan with assistance from Claude AI (Anthropic). Built using Pine Script v5....Mostly from Claude AI!!!
## Version History
v7.0 - Initial release with 4-component risk metric, tiered trading system, and optional buy filters
Multiple Time Frame Stoch-RSIThis indicator is designed to show users the values for default stochastic RSI and default RSI settings across multiple time frames.
I have made many bad trades focusing too closely on one particular time frame and indicators that suggest the price will move one way, to be superseded by a higher timeframe pushing price in another direction.
The timeframes are customisable so you can select your own timeframes, but the default timeframes chosen here are part of the BareNaked Crypto or Naked Nation strategy, looking at timeframes in multiples of 3 for lower timeframes.
The idea in its simplest form is that when timeframes like the 3/6/9m are all over sold or over bought (coloured red or green) then it could be a suitable time to place an order. Or at least be more favourable for your trade.
This indicator as with all indicators is designed as a tool to add to whatever arsenal of strategy or tools you are already using and does not constitute financial advice, just be cause 3/6/9m is in red or green does not guarantee that the trade will go your way.
The orange on the timeframes are generally designed to show users where price can reverse so for example if the stochastic 3m is at 10 and in green, but the 9m is at 65 in orange, it could be that a push up is not finished and the 9m drop from oversold to 65 could be reversed due to a low 3m stochastic number and then 9m goes from 65 back up to 100, and vice versa.
The arrows for direction also allow you to quickly deduce the direction of the stochastic RSI, ^ up, V down, and stable -. this should allow you to see if the stochastic has been rising and is beginning to turn around or not.
Arbitrage Detector [LuxAlgo]The Arbitrage Detector unveils hidden spreads in the crypto and forex markets. It compares the same asset on the main crypto exchanges and forex brokers and displays both prices and volumes on a dashboard, as well as the maximum spread detected on a histogram divided by four user-selected percentiles. This allows traders to detect unusual, high, typical, or low spreads.
This highly customizable tool features automatic source selection (crypto or forex) based on the asset in the chart, as well as current and historical spread detection. It also features a dashboard with sortable columns and a historical histogram with percentiles and different smoothing options.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is an easy way to understand how prices can vary between markets, helping you avoid trading at a disadvantage.
For advanced traders it is a fast tool to spot arbitrage opportunities or inefficiencies that can be exploited for profit.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
As we can see in the image, the tool consists of two main graphics: a dashboard on the main chart and a histogram in the pane below.
Both are useful for understanding the behavior of the same asset on different crypto exchanges or forex brokers.
The tool's main goal is to detect and categorize spread activity across the major crypto and forex sources. The comparison uses data from up to 19 crypto exchanges and 13 forex brokers.
🔹 Forex or Crypto
The tool selects the appropriate sources (crypto exchanges or forex brokers) based on the asset in the chart. Traders can choose which one to use.
The image shows the prices and volumes for Bitcoin and the euro across the main sources, sorted by descending average price over the last 20 days.
🔹 Dashboard
The dashboard displays a list of all sources with four main columns: last price, average price, volume, and total volume.
All four columns can be sorted in ascending or descending order, or left unsorted. A background gradient color is displayed for the sorted column.
Price and volume delta information between the chart asset and each exchange can be enabled or disabled from the settings panel.
🔹 Histogram
The histogram is excellent for visualizing historical values and comparing them with the asset price.
In this case, we have the Euro/U.S. Dollar daily chart. As we can see, the unusual spread activity detected since 2016, with values at or above 98%, is usually a good indication of increased trader activity, which may result in a key price area where the market could turn around.
By default, the histogram has the gradient and smoothing auto features enabled.
The differences are visible in the chart above. On top is an adaptive moving average with higher values for unusual activity. At the bottom is an exponential moving average with a length of 9.
The differences between the gradient and solid colors are evident. In the first case, the colors are in sync with the data values, becoming more yellow with higher values and more green with lower values. In the second case, the colors are solid and only distinguish data above or below the defined percentiles.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
🔹 Percentiles
Percentile Length: Select the length for the percentile calculation, or enable the use of the full dataset. Enabling this option may result in runtime errors due to exceeding the allotted resources.
Unusual % >: Select the unusual percentile.
High % >: Select the high percentile.
Typical % >: Select the typical percentile.
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Sorting: Select the sorting column and direction.
Position: Select the dashboard location.
Size: Select the dashboard size.
Price Delta: Show the price difference between each exchange and the asset on the chart.
Volume Delta: Show the volume difference between each exchange and the asset on the chart.
🔹 Style
Unusual: Enable the plot of the unusual percentile and select its color.
High: Enable the plot of the high percentile and select its color.
Typical: Enable the plot of the typical percentile and select its color.
Low: Select the color for the low percentile.
Percentiles Auto Color: Enable auto color for all plotted percentiles.
Histogram Gradient: Enable the gradient color for the histogram.
Histogram Smoothing: Select the length of the EMA smoothing for the histogram or enable the Auto feature. The Auto feature uses an adaptive moving average with the data percent rank as the efficiency ratio.
Mutanabby_AI | ONEUSDT_MR1
ONEUSDT Mean-Reversion Strategy | 74.68% Win Rate | 417% Net Profit
This is a long-only mean-reversion strategy designed specifically for ONEUSDT on the 1-hour timeframe. The core logic identifies oversold conditions following sharp declines and enters positions when selling pressure exhausts, capturing the subsequent recovery bounce.
Backtested Period: June 2019 – December 2025 (~6 years)
Performance Summary
| Metric | Value |
|--------|-------|
| Net Profit | +417.68% |
| Win Rate | 74.68% |
| Profit Factor | 4.019 |
| Total Trades | 237 |
| Sharpe Ratio | 0.364 |
| Sortino Ratio | 1.917 |
| Max Drawdown | 51.08% |
| Avg Win | +3.14% |
| Avg Loss | -2.30% |
| Buy & Hold Return | -80.44% |
Strategy Logic :
Entry Conditions (Long Only):
The strategy seeks confluence of three conditions that identify exhausted selling:
1. Prior Move Filter:*The price change from 5 bars ago to 3 bars ago must be ≥ -7% (ensures we're not entering during freefall)
2. Current Move Filter: The price change over the last 2 bars must be ≤ 0% (confirms momentum is stalling or reversing)
3. Three-Bar Decline: The price change from 5 bars ago to 3 bars ago must be ≤ -5% (confirms a significant recent drop occurred)
When all three conditions align, the strategy identifies a potential reversal point where sellers are exhausted.
Exit Conditions:
- Primary Exit: Close above the previous bar's high while the open of the previous bar is at or below the close from 9 bars ago (profit-taking on strength)
- Trailing Stop: 11x ATR trailing stop that locks in profits as price rises
Risk Management
- Position Sizing:Fixed position based on account equity divided by entry price
- Trailing Stop:11× ATR (14-period) provides wide enough room for crypto volatility while protecting gains
- Pyramiding:Up to 4 orders allowed (can scale into winning positions)
- **Commission:** 0.1% per trade (realistic exchange fees included)
Important Disclaimers
⚠️ This is NOT financial advice.
- Past performance does not guarantee future results
- Backtest results may contain look-ahead bias or curve-fitting
- Real trading involves slippage, liquidity issues, and execution delays
- This strategy is optimized for ONEUSDT specifically — results may differ on other pairs
- Always test before risking real capital
Recommended Usage
- Timeframe:*1H (as designed)
- Pair: ONEUSDT (Binance)
- Account Size: Ensure sufficient capital to survive max drawdown
Source Code
Feedback Welcome
I'm sharing this strategy freely for educational purposes. Please:
- Drop a comment with your backtesting results any you analysis
- Share any modifications that improve performance
- Let me know if you spot any issues in the logic
Happy trading
As a quant trader, do you think this strategy will survive in live trading?
Yes or No? And why?
I want to hear from you guys
Volume Threshold Levels - Crypto LidyaVolume Threshold Levels – Crypto Lidya
Understanding volume behavior is one of the most effective ways to detect trend changes, manipulation candles, aggressive entries, and institutional activity.
Volume Threshold Levels (VTL) not only displays raw volume but also calculates dynamic volume thresholds (2x – 3x – 4x) based on the moving average, allowing you to identify statistically meaningful volume anomalies with precision.
📌 1. Volume Columns
The indicator plots each bar’s volume using traditional column-style visualization.
Green: Bullish candle
Red: Bearish candle
Gray: Neutral candle
This helps traders clearly understand the relationship between price and volume.
📌 2. Average Volume Area
VTL offers two types of moving averages for volume:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
The average volume is drawn as a soft yellow area across the chart.
This area acts as the baseline for normal volume levels.
📌 3. Dynamic Threshold Lines (2x / 3x / 4x)
The script calculates and displays multipliers of the average volume:
2x Average
3x Average
4x Average
These levels appear as bright yellow lines.
They are extremely useful for identifying breakouts, traps, and aggressive institutional entries.
📌 4. Volume Spike Detection (Alerts)
VTL identifies upward crossovers where volume breaks above key levels:
1x Volume Signal
2x Volume Signal
3x Volume Signal
4x Volume Signal
These can be used directly as TradingView alerts.
This allows you to automate detection of high-impact volume spikes.
📌 5. Use Cases
The indicator performs exceptionally well in:
Breakout confirmation
Liquidity sweep analysis
Detecting manipulation candles
Combining with OB, FVG, or other SMC structures
Scalping and low-timeframe aggressive volume interpretation
Algorithmic filters for volume-based strategies
📌 6. Summary
VTL delivers:
✔ Dynamic average volume baseline
✔ Clear 2x–3x–4x volume thresholds
✔ Accurate detection of upside volume explosions
✔ A strong tool for traders who rely on volume confirmation
Completely open-source and ready to be extended.
