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Buy The Dip - Does It Work?Buying the dip has become a meme in crypto, but does it actually work? Using this script you can find out. The dip is defined here as the average true range multiplied by a number of your choosing (dipness input) and subtracted from the low. When price crosses under the dip level, a long is initiated. The long is then closed using a timestop (default value 20 bars), no fancy exits here. A general rule for buying the dip should be to be more passive in a bull market and aggressive in a bear market. Same goes for all counter trend trading. Heres a few other examples of dip buying statistics using the H4 timeframe: 50% profitable, 1.692 Profit Factor BINANCE:PIVXBTC 56.52% profitable, 1.254 Profit Factor BINANCE:KMDBTC 27.27% Profitable, 0.257 Profit Factor... yikes! BINANCE:BTSBTC 73.33% Profitable, 13.627 Profit Factor... o.O BINANCE:MANABTC
Pine Script® strategy
by shtcoinr
7
RSI or %B of Bitfinex shorts /longs of main crypto trading pairsNormalized longs and shorts with %B or RSI of some crypto trading pairs listed below (longs and shorts data from Bitfinex). If you're not familiar with %B just use default setting and it will plot a RSI of the longs and shorts (screenshot is from %B). Obviously this should not be used as a single reason to take a trade but part of your analysis. For some longs/shorts sentiment interpretation you can look at this: cdn.discordapp.com Available pairs (you can add some with very basic Pine Script knowledge but it will take more time loading): BTCUSD ETHUSD ETHBTC EOSBTC LTCBTC XRPBTC BCHBTC TRXBTC
Pine Script® indicator
by Gregg_s
On-Chain Analysis [LuxAlgo]The On-Chain Analysis tool offers a comprehensive overview of essential on-chain metrics, enabling traders and investors to grasp the underlying activity and sentiment within the cryptocurrency market. By integrating metrics like wallet profitability, exchange flows, on-chain volume, social sentiment, and more into your charts, users can gain valuable insights into cryptocurrency network behavior, spot emerging trends, and better manage risk in the cryptocurrency market. 🔶 USAGE 🔹 On-Chain Analysis When analyzing cryptocurrencies, several fundamental metrics are crucial for assessing the value and potential of a digital asset. This indicator is designed to help traders and analysts evaluate the markets by utilizing various data gathered directly from the blockchain. The gathered on-chain data includes wallet profitability, exchange flows, miner flows, on-chain volume, large buyers/sellers, market capitalization, market dominance, active addresses, total value locked (TVL), market value to realized value (MVRV), developer activity, social sentiment, holder behavior, and balance types. Use wallet profitability and social sentiment metrics to gauge the overall mood of the market, helping to anticipate potential buying or selling pressure. On-chain volume and active addresses provide insights into how actively a cryptocurrency is being used, indicating network health and adoption levels. By tracking exchange flows and holder balance types, you can identify significant moves by whales or institutions, which may signal upcoming price shifts. Market capitalization and miner flows give you an understanding of the supply side of the market, aiding in evaluating whether an asset is overvalued or undervalued. The distribution of holdings among retail investors, whales, and institutional groups can greatly influence market dynamics. A large concentration of holdings by whales may indicate the potential for significant price swings, given their capacity to execute substantial trades. A higher proportion of institutional investors often suggests confidence in the asset's long-term potential, as these entities typically conduct thorough research before investing. While retail participation indicates broader adoption, it also introduces higher volatility, as these investors tend to be more reactive to market fluctuations. Understanding the balance and behavior of short-term traders, mid-term cruisers, and long-term hodlers helps traders and analysts predict market trends and assess the underlying confidence in a particular cryptocurrency. 🔶 DETAILS This script includes some of the most significant and insightful metrics in the crypto space, designed to evaluate and enhance trading decisions by assessing the value and growth potential of cryptocurrencies. The introduced metrics are: 🔹 Wallet Profitability Definition: Represents the percentage distribution of addresses by profitability at the current price. Importance: Indicates potential selling pressure or reduced selling pressure based on whether addresses are in profit or loss. 🔹 Exchange Flow Definition: The total amount of a cryptocurrency moving in and out of exchanges. Importance: Large inflows to exchanges can indicate potential selling pressure, while large outflows might suggest accumulation or long-term holding. 🔹 Miner Flow Definition: Tracks the inflow and outflow of funds by miners. Importance: High inflows could indicate selling pressure, whereas low inflows or outflows might reflect miner confidence. 🔹 On-Chain Volume Definition: The total value of transactions conducted on a blockchain within a specific period. Importance: On-chain volume reflects actual usage of the network, indicating how actively a cryptocurrency is being utilized for transactions. 🔹 Large Buyers/Sellers Definition: Tracks the number of large buyers (bulls) and sellers (bears) based on transaction volume. Importance: Comparing the number of large buyers (bulls) to large sellers (bears) helps gauge market trends and sentiment. 🔹 Market Capitalization Definition: The total value of a cryptocurrency's circulating supply, calculated by multiplying the current price by the total supply. Importance: Market cap is a key indicator of a cryptocurrency’s size and market dominance. It helps compare the relative size of different cryptocurrencies. 🔹 Market Dominance Definition: Market dominance represents a cryptocurrency’s share of the total market capitalization of all cryptocurrencies. It is calculated by dividing the market cap of the cryptocurrency by the total market cap of the cryptocurrency market. Importance: Market dominance is a crucial indicator of a cryptocurrency's influence and relative position in the market. It helps assess the strength of a cryptocurrency compared to others and provides insights into its market presence and potential influence. Special Consideration: Since BTC and ETH dominance is relatively high compared to other cryptocurrencies, specific adjustments are made during the presentation of values and charts. When analyzing BTC, the total market capitalization is used. For ETH analysis, BTC is excluded from the total market cap. For any other cryptocurrency besides BTC and ETH, both BTC and ETH are excluded from the total market cap to provide a more accurate view. 🔹 Active Addresses Definition: The number of unique addresses involved in transactions within a specific period. Importance: A higher number of active addresses suggests greater network activity and user adoption, which can be a sign of a healthy ecosystem. 🔹 Total Value Locked (TVL) Definition: The total value of assets locked in a decentralized finance (DeFi) protocol. Importance: TVL is a key metric for DeFi platforms, indicating the level of trust and the amount of liquidity in a protocol. 🔹 Market Value to Realized Value (MVRV) Definition: A ratio comparing the market cap to realized cap. Importance: A high ratio may indicate overvaluation (potential selling), while a low ratio could signal undervaluation (potential buying). 🔹 Developer Activity Definition: The level of activity on a cryptocurrency’s public repositories (e.g., GitHub). Importance: Strong developer activity is a sign of ongoing innovation, updates, and a healthy project. 🔹 Social Sentiment Definition: The general sentiment or mood of the community and investors as expressed on social media and forums. Importance: Positive sentiment often correlates with price increases, while negative sentiment can signal potential downtrends. 🔹 Holder Balance (Behavior) Definition: Distribution of addresses by holding behavior: Traders (short-term), Cruisers (mid-term), and Hodlers (long-term). Importance: Helps predict market behavior based on different holder types. 🔹 Holder Balance (Type) Definition: Distribution of cryptocurrency holdings among Retail (small holders), Whales (large holders), and Investors (institutional players). Importance: Assesses the potential impact of different user groups on the market. A more decentralized distribution is generally viewed as positive, reducing the risk of price manipulation by large holders. These metrics provide a comprehensive view of a cryptocurrency’s health, adoption, and potential for growth, making them essential for fundamental analysis in the crypto space. 🔶 SETTINGS The script offers a range of customizable settings to tailor the analysis to your trading needs. 🔹 On-Chain Analysis On-Chain Data: Choose the specific on-chain metric from the drop-down menu. Options include Wallet Profitability, Exchange Flow, Miner Flow, On-Chain Volume, Large Buyers/Sellers (Volume), Market Capitalization, Market Dominance, Active Addresses, Total Value Locked, Market Value to Realized Value, Developer Activity, Social Sentiment, Holder Balance (Behavior), and Holder Balance (Type). Smoothing: Set the smoothing level to refine the displayed data. This can help in filtering out noise and getting a clearer view of trends. Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) and the length of the moving average for signal line calculation. 🔹 On-Chain Dashboard On-Chain Stats: Toggle the display of the on-chain statistics. Dashboard Size, Position, and Colors: Customize the size, position, and colors of the on-chain dashboard on the chart. 🔶 LIMITATIONS Availability of on-chain data may vary and may not be accessible for all crypto assets. 🔶 RELATED SCRIPTS Market-Sentiment-Technicals
Pine Script® indicator
by LuxAlgo
4
Realized PriceBitcoin Realized Price is a metric that determines the value of all bitcoins in circulation by dividing the total purchase price by the number of bitcoins. This provides traders with the average cost basis for all bitcoins in circulation, which is also known as Realized Price. Unlike the current Market Price that reflects the current value of CRYPTOCAP:BTC , Realized Price shows the average purchase price of all bitcoins in circulation. It is essential to note that Realized Price values each UTXO based on the value when it last moved from one wallet to another, assuming that the movement represents the purchase of the bitcoins. The significance of Bitcoin Realized Price lies in its ability to provide traders with an overall economic perspective of the Bitcoin market. When the CRYPTOCAP:BTC Market Price exceeds the Realized Price, the market participants are making a profit on average. Conversely, when the CRYPTOCAP:BTC Market Price is lower than the Realized Price, traders are incurring paper losses on average. It's worth noting that Realized Price is a modification of Realized Cap, created in 2018 by Antoine Le Calvez. In addition to BTC I have added LTC and ETH NB! Script is history data depended - use on charts with most history data BTC -> BNC:BLX ETH -> BITSTAMP:ETHUSD LTC -> BITFINEX:LTCUSD it plots realized price and its deviation - when price break out from these bands it explodes hard - near the realized price is good to accumulate the coin - it is fair price Examples BTC ETH LTC
Pine Script® indicator
by pmk07
3
ATR OSC and Volume Screener (ATROSCVS)In today's world of trading, having the right tools and indicators can make all the difference. With the vast number of cryptocurrencies available, I've found it challenging to keep track of the market's overall direction and make informed decisions. That's where the ATR OSC and Volume Screener comes in, a powerful Pine Script that I use to identify potential trading opportunities across multiple cryptocurrencies, all in one convenient place. This script combines two essential components: the ATR Oscillator (ATR OSC) and a Volume Screener. It is designed to work with the TradingView platform. Let me explain how this script works and how it benefits my trading. Firstly, the ATR Oscillator is an RSI-like oscillator that performs better under longer lookback periods. Unlike traditional RSI, the ATR OSC doesn't lose its min and max ranges with a long lookback period, as the scale remains intact. It calculates the true range by considering the high, low, open, and close prices of a financial instrument, and uses this true range instead of the standard deviation in a modified z-score calculation. This unique approach helps provide a more precise assessment of the market's volatility. The Volume Screener, on the other hand, helps me identify unusual trading volumes across various cryptocurrencies. It employs a normalized volume calculation method, effectively filtering out outliers and highlighting potentially significant trading opportunities. One feature I find particularly impressive about the ATR OSC and Volume Screener is its versatility and the way it displays information using color gradients. With support for over 30 different cryptocurrencies, including popular options like Bitcoin (BTC), Ethereum (ETH), Ripple (XRP), and Dogecoin (DOGE), I can monitor a wide range of markets simultaneously. The color gradient on the grid is visually appealing and makes it easy to identify the strength of the indicators for each cryptocurrency, allowing me to make quick comparisons and spot potential trading opportunities. The customizable input options allow me to fine-tune the script to suit my individual trading preferences and strategies. In summary, the ATR OSC and Volume Screener has been an invaluable tool for me as I navigate the ever-evolving world of cryptocurrencies. By combining the power of the ATR Oscillator with a robust Volume Screener, this Pine Script makes it easier than ever to identify promising trading opportunities and stay ahead of the game. The color gradient in the ATR OSC and Volume Screener is essential for visually representing the data on the heatmap. It uses a range of colors to indicate the strength of the indicators for each cryptocurrency, making it easier to understand the market dynamics at a glance. In the heatmap, the color gradient typically starts from a cooler color, such as blue or green, at the lower extremes (low ATR OSC values) and progresses towards warmer colors, like yellow, orange, or red, as the ATR OSC values approach the upper extremes (high ATR OSC values). This color-coding system enables me to quickly identify and interpret the data without having to examine individual numerical values. For example, cooler colors (blue or green) might represent lower values of the ATR Oscillator, suggesting oversold conditions in the respective cryptocurrencies. On the other hand, warmer colors (yellow, orange, or red) indicate higher ATR OSC values, signaling overbought market conditions. This visual representation allows me to make rapid comparisons between different cryptocurrencies and spot potential trading opportunities more efficiently. By utilizing the color gradient in the heatmap, the ATR OSC and Volume Screener simplifies the analysis of multiple cryptocurrencies, helping me to quickly identify market trends and make better-informed trading decisions. I highly recommend testing the ATR OSC and Volume Screener and seeing the difference it can make in your trading decisions. Happy trading!
Pine Script® indicator
by The_Peaceful_Lizard
26
Altcoins capitalization histogram [peregringlk]This script superseeds "Other altcoins BTC capitalization histogram". The previous versions was a bit confusing in my opinion and lacked some generalization, so I'm now publishing this improved version. It shows 6 pieces of info: - Green columns: BTC price change for that day. - Red bars: Altcoins capitalization change for that day, measured in bitcoins (altcoins_USD_capitalization / BTCUSD) - Green/red background: green if that day the USD capitalization change was a gain, and red if it was a loss. - Green line: accum BTC price change for the selected last days. - Red line: accum altcoin capitalization change measured in BTC for the selected days. - Dotted blue sequence: accum altcoin USD capitalization change for the selected days. The base line of the histogram is 1 instead of 0, because I'm showing the price changes as multipliers (price change rates), so if there have been a +20% market movement, the calculated value will be 1.2, and if there have been a -20% market movement, then the value will be 0.8. 1 means no movement (preserved price/capitalization). Price and capitalization changes will be calculated using candle closes. About the accumulated price changes, it will calculate the accumulated multiplication of the corresponding price change multipliers. For example, if you have set you want 3 days for the accumulation rates, and the last three days saw a -20%, +10% and +15% price/capitalization changes, the current value for the line will be 0.8*1.1*1.15 = 1.0120, or a +1.2% price change respect to the day before yesterday. By default, if you are looking any ALTBTC market (for example, ETHBTC), instead of showing the USD and BTC capitalization of all alts, it will take the BTC and USD prices of the current market (the USD price will be calculated as ALTBTC * BTCUSD; and the BTCUSD price will be taken from BITSTAMP, the one with the longest BTC history I know in tradingview). If you are looking any other markets that is not paired with BTC, then it will take the USD capitalization of all altcoins, and the BTC capitalization will be calculated as altcoins_USD_capitalization / BTCUSD (from BITSTAMP as well). Also, remember that, in both cases (alts capitalization or price), the graph will consistently respect the following rule: - btc_usd_price_change * alt/capitalization_btc_price_change = alt_usd_price_change. That applies for both the green/red bars respect to the background, and the green/red line respect to the blue dotted sequence. Lastly, you may want to know if, in case btc price and altbtc price or capitalization go in opposite directions, who gain the battle? For example, if BTCUSD moved +20%, and an ALTBTC price moved -20%, the result is a loss, because 1.2*0.8 = 0.96, so the ALTUSD price or capitalization moved -4% (remember that, for preserving the USD value, if today's bitcoin change rate is x, the altbtc change rate must be 1/x; so for a -20% BTCUSD price movement, there must be at least a +25% ALTBTC price change to don't loss USD value, because 1/0.8 = 1.25). The background is what shows you that: if the background is green, it means that for that day there was a total USD gain of value, and when it's red, then it was a loss of USD value. You can customize the following things: - Accum change rate interval: the "selected days". By default 7. - Take alts-capitalization?: By default unmarked. The effect when is unmarked is what I have explained in the previous paragraph. If you mark it, then it will use the USD_capitalization of all alts no matter what market you are looking right now. - Which capitalization do you want? There are three options, that applies when "Take alts-capitalization?" is marked, or otherwise, when you are not looking a BTC-paired market. - - - All-alts (default option): take CRYPTOCAP:TOTAL2 security as reference Alts-capitalization, which represents all altcoins. - - - Other-alts: take CRYPTOCAP:OTHERS security as reference Alts-capitalization, which represents all altcoin except the 9 most capitalized alts. - - - Big-alts: take CRYPTOCAP:TOTAL2 - CRYPTOCAP:OTHERS as reference Alts-capitalization, which represenst only the 9 most capitalized alts. The idea of this script is: A) Figuring out what is causing a USD value gain or loss, the alts market movements, or the BTC price change. So you can spot if some altcoin, or all altcoins combined, are gaining or loosing value by themselves or because of bitcoin. B) Trying to spot or discover some patterns that allows you to identify altseasons. Once an altseason has been developed, the chart will show it in a pretty obvious way (massive red line bells and dotted blue lines with very high values during a period of various weeks). The hard problem is to spot it in advance, and maybe this graph can help.
Pine Script® indicator
by peregringlk
Asset Premium/Discount Monitor📊 Overview The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities. 🎯 Use Cases Perfect for analyzing: NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector Any two correlated assets where relative value matters Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile. 🔧 How It Works Core Calculation Ratio Analysis: Calculates the price ratio between your asset and the correlated asset Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this. Premium Measurement: Measures current deviation from historical average as a percentage Statistical Context: Provides percentile rankings and standard deviation bands The Math Premium % = (Current Ratio / Historical Average Ratio - 1) × 100 🎨 Customization Options Correlated Asset: Choose any symbol for comparison Lookback Period: Adjust historical baseline (50-1000 days) Smoothing: Reduce noise with moving average (1-50 days) Visual Toggles: Show/hide bands and percentile lines Color Themes: Customize premium/discount colors 📊 Interpretation Guide Premium/Discount Reading Positive %: Asset trading above historical relationship (premium) Negative %: Asset trading below historical relationship (discount) Near 0%: Asset at fair value relative to correlation Percentile Ranking 90%+: Near recent highs - potential selling opportunity 10% and below: Near recent lows - potential buying opportunity 25-75%: Normal trading range Signal Classifications 🔴 SELL PREMIUM: Asset expensive relative to recent range 🟡 Premium Rich: Moderately expensive, monitor for reversal ⚪ NEUTRAL: Fair value territory 🟡 Discount Opportunity: Moderately cheap, potential accumulation zone 🟢 BUY DISCOUNT: Asset cheap relative to recent range 🚨 Built-in Alerts Extreme Premium Alert: Triggers when percentile > 95% Extreme Discount Alert: Triggers when percentile < 5% ⚠️ Important Notes Works best with highly correlated assets Historical relationships can change - monitor correlation strength Not investment advice - use as one factor in your analysis Backtest thoroughly before implementing any strategy 🔄 Updates & Future Features This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Pine Script® indicator
by HenriqueCentieiro
Cycle Composite 3.6 WeightedThe Cycle Composite is a multi-factor market cycle model designed to classify long-term market behavior into distinct phases using normalized and weighted data inputs. It combines ten key on-chain, dominance, volatility, sentiment, and trend-following metrics into a single composite output. The goal is to provide a clearer understanding of where the market may stand in the broader cycle (e.g., accumulation, early bull, late bull, or euphoria). This version (3.4) introduces flexible weighting, trend strength markers, and additional context-aware signals such as risk-on confirmations and altseason flags. Phases Identified: The model categorizes the market into one of five zones: Euphoria (> 85) Late Bull (70 – 85) Mid Bull (50 – 70) Early Bull (30 – 50) Fear (< 30) Each phase is determined by a smoothed EMA of the weighted composite score. Data Sources and Metrics Used (10 total): BTC Dominance (CRYPTOCAP:BTC.D) Stablecoin Dominance (USDT + USDC average) (inverted for risk-on) ETH Dominance (CRYPTOCAP:ETH.D) BBWP (normalized Bollinger Band Width % over 1-year window) WVF (Williams VIX Fix for volatility spike detection) NUPL (Net Unrealized Profit/Loss, external source) CMF (Chaikin Money Flow, smoothed volume accumulation) CEX Open Interest (custom input from DAO / external source) Whale Inflows (custom input from whale exchange transfer data) Google Trends Average (BTC, Crypto, Altcoin terms) All inputs are normalized over a 200-bar window and combined via weighted averaging, where each weight is user-configurable. Additional Features: Phase Labels: Labels are printed only when a new phase is entered. Bull Continuation Marker: Triangle up when composite makes higher highs and NUPL increases. Weakening Marker: Triangle down when composite rolls over in Late Bull and NUPL falls. Risk-On Signal: Green circle appears when CMF and Google Trends are both rising. Altseason Flag: Orange diamond appears when dominance of "others.d" exceeds BTC.D and ETH.D and composite is above 50. Background Shading: Each phase is shaded with a semi-transparent background color. Timeframe-Aware Display: All markers and signals are shown only on weekly timeframe for clarity. Intended Use: This script is intended for educational and macro-trend analysis purposes. It can be used to: Identify macro cycle position (accumulation, bull phases, euphoria, etc.) Spot long-term trend continuation or weakening signals Add context to price action with external on-chain and sentiment data Time rotation events such as altseason risk Disclaimer: This script does not constitute financial advice. It is intended for informational and research purposes only. Users should conduct their own due diligence and analysis before making investment decisions.
Pine Script® indicator
by 0xInverse
3
Fibonacci Levels with SMA SignalsThis strategy leverages Fibonacci retracement levels along with the 100-period and 200-period Simple Moving Averages (SMAs) to generate robust entry and exit signals for long-term swing trades, particularly on the daily timeframe. The combination of Fibonacci levels and SMAs provides a powerful way to capitalize on major trend reversals and market retracements, especially in stocks and major crypto assets. The core of this strategy involves calculating key Fibonacci retracement levels (23.6%, 38.2%, 61.8%, and 78.6%) based on the highest high and lowest low over a 365-day lookback period. These Fibonacci levels act as potential support and resistance zones, indicating areas where price may retrace before continuing its trend. The 100-period SMA and 200-period SMA are used to define the broader market trend, with the strategy favoring uptrend conditions for buying and downtrend conditions for selling. This indicator highlights high-probability zones for long or short swing setups based on Fibonacci retracements and the broader trend, using the 100 and 200 SMAs. In addition, this strategy integrates alert conditions to notify the trader when these key conditions are met, providing real-time notifications for optimal entry and exit points. These alerts ensure that the trader does not miss significant trade opportunities. Key Features: Fibonacci Retracement Levels: The Fibonacci levels provide natural price zones that traders often watch for potential reversals, making them highly relevant in the context of swing trading. 100 and 200 SMAs: These moving averages help define the overall market trend, ensuring that the strategy operates in line with broader price action. Buy and Sell Signals: The strategy generates buy signals when the price is above the 200 SMA and retraces to the 61.8% Fibonacci level. Sell signals are triggered when the price is below the 200 SMA and retraces to the 38.2% Fibonacci level. Alert Conditions: The alert conditions notify traders when the price is at the key Fibonacci levels in the context of an uptrend or downtrend, allowing for efficient monitoring of trade opportunities. Application: This strategy is ideal for long-term swing trades in both stocks and major cryptocurrencies (such as BTC and ETH), particularly on the daily timeframe. The daily timeframe allows for capturing broader, more sustained trends, making it suitable for identifying high-quality entries and exits. By using the 100 and 200 SMAs, the strategy filters out noise and focuses on larger, more meaningful trends, which is especially useful for longer-term positions. This script is optimized for swing traders looking to capitalize on retracements and trends in markets like stocks and crypto. By combining Fibonacci levels with SMAs, the strategy ensures that traders are not only entering at optimal levels but also trading in the direction of the prevailing trend.
Pine Script® indicator
by monkrs
2
Bitcoin Total VolumeThis Pine Script indicator, titled "Bitcoin Top 16 Volume," is designed to provide traders with an aggregate view of Bitcoin (BTC) spot trading volume across leading cryptocurrency exchanges. Unlike traditional volume indicators that focus on a single exchange, this tool compiles data from a selection of the top exchanges as ranked by CoinMarketCap, offering a broader perspective on overall market activity. The indicator works by fetching real-time volume data for specific BTC trading pairs on various exchanges. It currently incorporates data from prominent platforms such as Binance (BTCUSDT), Coinbase (BTCUSD), OKX (BTCUSDT), Bybit (BTCUSDT), Kraken (BTCUSD), Bitfinex (BTCUSD), Bitstamp (BTCUSD), Gemini (BTCUSD), Upbit (BTCKRW), Bithumb (BTCKRW), KuCoin (BTCUSDT), Gate.io (BTCUSDT), MEXC (BTCUSDT), Crypto.com (BTCUSD), Poloniex (BTCUSDT), and BitMart (BTCUSDT). It's important to note that while the indicator aims to represent the "Top 16" exchanges, the actual number included may vary due to data availability within TradingView and the dynamic nature of exchange rankings. The script then calculates the total volume by summing up the volume data retrieved from each of these exchanges. This aggregated volume is visually represented as a histogram directly on your TradingView chart, displayed in white by default. By observing the height of the histogram bars, traders can quickly assess the total trading volume for Bitcoin spot markets over different time periods, corresponding to the chart's timeframe. This indicator is valuable for traders seeking to understand the overall market depth and liquidity of Bitcoin. Increased total volume can often signal heightened market interest and potential trend strength or reversals. Conversely, low volume might suggest consolidation or reduced market participation. Traders can use this indicator to confirm trends, identify potential breakouts, and gauge the general level of activity in the Bitcoin spot market across major exchanges. Keep in mind that the list of exchanges included may need periodic updates to accurately reflect the top exchanges as rankings on CoinMarketCap evolve.
Pine Script® indicator
by William1124
Aggressive Strategy for High IV Market### Strategic background In a volatile high IV market, prices are volatile and market expectations of future uncertainty are high. This environment provides opportunities for aggressive trading strategies, but also comes with a high level of risk. In pursuit of a high Sharpe ratio (i.e., risk-adjusted return), we need to design a strategy that captures the benefits of market volatility while effectively controlling risk. Based on daily line cycles, I choose a combination of trend tracking and volatility filtering for highly volatile assets such as stocks, futures or cryptocurrencies. --- ### Strategy framework #### Data - Use daily data, including opening, closing, high and low prices. - Suitable for highly volatile markets such as technology stocks, cryptocurrencies or volatile index futures. #### Core indicators 1. ** Trend Indicators ** : Fast Exponential Moving Average (EMA_fast) : 10-day EMA, used to capture short-term trends. - Slow Exponential Moving Average (EMA_slow) : 30-day EMA, used to determine the long-term trend. 2. ** Volatility Indicators ** : Average true Volatility (ATR) : 14-day ATR, used to measure market volatility. - ATR mean (ATR_mean) : A simple moving average of the 20-day ATR that serves as a volatility benchmark. - ATR standard deviation (ATR_std) : The standard deviation of the 20-day ATR, which is used to judge extreme changes in volatility. #### Trading logic The strategy is based on a trend following approach of double moving averages and filters volatility through ATR indicators, ensuring that trading only in a high-volatility environment is in line with aggressive and high sharpe ratio goals. --- ### Entry and exit conditions #### Admission conditions - ** Multiple entry ** : - EMA_fast Crosses EMA_slow (gold cross), indicating that the short-term trend is turning upward. -ATR > ATR_mean + 1 * ATR_std indicates that the current volatility is above average and the market is in a state of high volatility. - ** Short Entry ** : - EMA_fast Crosses EMA_slow (dead cross) downward, indicating that the short-term trend turns downward. -ATR > ATR_mean + 1 * ATR_std, confirming high volatility. #### Appearance conditions - ** Long show ** : - EMA_fast Enters the EMA_slow (dead cross) downward, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, volatility decreases significantly and the market calms down. - ** Bear out ** : - EMA_fast Crosses the EMA_slow (gold cross) on the top, and the trend reverses. - or ATR < ATR_mean-1 * ATR_std, the volatility is reduced. --- ### Risk management To control the high risk associated with aggressive strategies, set up the following mechanisms: 1. ** Stop loss ** : - Long: Entry price - 2 * ATR. - Short: Entry price + 2 * ATR. - Dynamic stop loss based on ATR can adapt to market volatility changes. 2. ** Stop profit ** : - Fixed profit target can be selected (e.g. entry price ± 4 * ATR). - Or use trailing stop losses to lock in profits following price movements. 3. ** Location Management ** : - Reduce positions appropriately in times of high volatility, such as dynamically adjusting position size according to ATR, ensuring that the risk of a single trade does not exceed 1%-2% of the account capital. --- ### Strategy features - ** Aggressiveness ** : By trading only in a high ATR environment, the strategy takes full advantage of market volatility and pursues greater returns. - ** High Sharpe ratio potential ** : Trend tracking combined with volatility filtering to avoid ineffective trades during periods of low volatility and improve the ratio of return to risk. - ** Daily line Cycle ** : Based on daily line data, suitable for traders who operate frequently but are not too complex. --- ### Implementation steps 1. ** Data Preparation ** : - Get the daily data of the target asset. - Calculate EMA_fast (10 days), EMA_slow (30 days), ATR (14 days), ATR_mean (20 days), and ATR_std (20 days). 2. ** Signal generation ** : - Check EMA cross signals and ATR conditions daily to generate long/short signals. 3. ** Execute trades ** : - Enter according to the signal, set stop loss and profit. - Monitor exit conditions and close positions in time. 4. ** Backtest and Optimization ** : - Use historical data to backtest strategies to evaluate Sharpe ratios, maximum retracements, and win rates. - Optimize parameters such as EMA period and ATR threshold to improve policy performance. --- ### Precautions - ** Trading costs ** : Highly volatile markets may result in frequent trading, and the impact of fees and slippage on earnings needs to be considered. - ** Risk Control ** : Aggressive strategies may face large retracements and need to strictly implement stop losses. - ** Scalability ** : Additional metrics (such as volume or VIX) can be added to enhance strategy robustness, or combined with machine learning to predict trends and volatility. --- ### Summary This is a trend following strategy based on dual moving averages and ATR, designed for volatile high IV markets. By entering into high volatility and exiting into low volatility, the strategy combines aggressive and risk-adjusted returns for traders seeking a high sharpe ratio. It is recommended to fully backtest before implementation and adjust the parameters according to the specific market.
Pine Script® strategy
by tirascobol
Composite Indicator (CCI + ATR)Composite Indicator (CCI + ATR) The Composite Indicator (CCI + ATR) combines the Commodity Channel Index (CCI) with the Average True Range (ATR) , providing traders with a dynamic tool for identifying entry and exit points based on momentum and volatility. This indicator is particularly useful for markets like cryptocurrencies, which often exhibit sharp sell-offs and gradual upward trends. Key Features Momentum Analysis with CCI: The CCI calculates price momentum by comparing the current price level to its average over a specific period. The indicator generates signals when CCI crosses predefined thresholds. - Buy Signal: Triggered when CCI crosses above the lower threshold (e.g., -100). - Sell Signal: Triggered when CCI crosses below the upper threshold (e.g., +100). Volatility Filtering with ATR: The ATR measures market volatility, ensuring signals occur only during significant price movements. Separate multipliers for buy and sell signals allow tailored filtering based on market behavior. Stop Loss Calculation: Dynamic stop loss levels are calculated using the ATR multiplier to adapt to market volatility, offering better risk management. How It Works CCI Calculation: The CCI is calculated using the typical price ((High + Low + Close) / 3) and a user-defined length. It detects momentum changes by measuring deviations from the average price. ATR Calculation: The ATR determines the average price range over a specified period, identifying the market’s volatility. The ATR SMA acts as a baseline to filter signals. Buy Signal: A buy signal is triggered when: - CCI crosses above the lower threshold (e.g., -100). - ATR exceeds its SMA multiplied by the buy multiplier (e.g., 1.0). Sell Signal: A sell signal is triggered when: - CCI crosses below the upper threshold (e.g., +100). - ATR exceeds its SMA multiplied by the sell multiplier (e.g., 0.95). Stop Loss Integration: - Long positions: Stop loss = Low – (ATR * ATR Multiplier) - Short positions: Stop loss = High + (ATR * ATR Multiplier) Advantages Combines momentum (CCI) and volatility (ATR) for precise signal generation. Customizable thresholds and multipliers for different market conditions. Dynamic stop loss ensures better risk management in volatile markets. Suggested Parameter Settings CCI Length: 20 (default). Adjust as follows: - 10–15: Shorter timeframes (e.g., 5-15 minutes). - 20: General use for 1-hour timeframes. - 30–50: Longer timeframes (e.g., 4-hour or daily charts). CCI Threshold: 100 (default). Adjust as follows: - 50–75: For more frequent signals in ranging markets. - 100: Balanced for most trading conditions. - 150–200: For strong trends to reduce noise. ATR Length: 14 (default). Adjust as follows: - 10–14: For assets with moderate volatility. - 20: For assets with lower volatility. ATR Buy Multiplier: 1.0 (default). Adjust as follows: - 0.9–1.0: For gradual uptrends in crypto markets. - 1.1–1.2: For stronger trend filtering. ATR Sell Multiplier: 0.95 (default). Adjust as follows: - 0.8–0.95: For sharp sell-offs. - 1.0–1.1: For stable downward trends. ATR Multiplier (Stop Loss): 1.5 (default). Adjust as follows: - 1.0–1.2: For shorter timeframes or less volatile markets. - 2.0–2.5: For highly volatile markets like cryptocurrencies. Example Use Cases Scalping (5-15 minute charts): Use CCI Length = 10, CCI Threshold = 75, ATR Buy Multiplier = 0.9, ATR Sell Multiplier = 0.8. Day Trading (1-hour charts): Use CCI Length = 20, CCI Threshold = 100, ATR Buy Multiplier = 1.0, ATR Sell Multiplier = 0.95. Swing Trading (4-hour or daily charts): Use CCI Length = 30, CCI Threshold = 150, ATR Buy Multiplier = 1.2, ATR Sell Multiplier = 1.0. Final Thoughts The Composite Indicator (CCI + ATR) is a versatile tool designed to enhance trading decisions by combining momentum analysis with volatility filtering. Whether scalping or swing trading, this indicator provides actionable insights and robust risk management to navigate complex markets effectively.
Pine Script® indicator
by CharLi0t
BTC Slayer 9000 - Relative Risk-adjusted performanceBTC Slayer 9000: Relative Risk-Adjusted Performance Dear friends and fellow traders, I am pleased to introduce the BTC Slayer 9000, a script designed to provide clear insights into risk-adjusted performance relative to a benchmark. Whether you're navigating the volatile world of cryptocurrencies or exploring opportunities in stocks, this tool helps you make informed decisions by comparing assets against your chosen benchmark. What Does It Do? This indicator is based on the Ulcer Index (UI), a metric that measures downside risk. It calculates the Ulcer Performance Index (UPI), which combines returns and downside risk, and compares it to a benchmark (like BTC/USDT, SPY500, or any trading pair). The result is the Relative UPI (RUPI): Positive RUPI (green area): The asset's risk-adjusted performance is better than the benchmark. Negative RUPI (red area): The asset's risk-adjusted performance is worse than the benchmark. Why Use It? Risk vs. Reward: See if the extra risk of an asset is justified by its returns. Customizable Benchmark: Compare any asset against BTC, SPY500, or another chart. Dynamic Insights: Quickly identify outperforming assets for long positions and underperformers for potential shorts. How to Use: Inputs: Adjust the lookback period to set the time frame for analysis. 720 Period is meant to represent 30 days. I like to use 168 period because I do not hold trades for long. Choose your comparison chart (e.g., BTC/USDT, SPY500, AAPL, etc.). Interpretation: Green Area Above 0: The asset offers better risk-adjusted returns than the benchmark. Red Area Below 0: The benchmark is a safer or more rewarding option. Perfect for All Traders Whether you: Trade Cryptocurrencies: Compare altcoins to BTC. Invest in Stocks: Compare individual stocks to indices like SPY500. Evaluate Portfolio Options: Decide between assets like AAPL or TSLA. This indicator equips you with a systematic way to evaluate "Is the extra risk worth it?". The script was compiled in Collaboration with ChatGPT
Pine Script® indicator
by Beefmaster3
Smart DCA Strategy (Public)INSPIRATION While Dollar Cost Averaging (DCA) is a popular and stress-free investment approach, I noticed an opportunity for enhancement. Standard DCA involves buying consistently, regardless of market conditions, which can sometimes mean missing out on optimal investment opportunities. This led me to develop the Smart DCA Strategy – a 'set and forget' method like traditional DCA, but with an intelligent twist to boost its effectiveness. The goal was to build something more profitable than a standard DCA strategy so it was equally important that this indicator could backtest its own results in an A/B test manner against the regular DCA strategy. WHY IS IT SMART? The key to this strategy is its dynamic approach: buying aggressively when the market shows signs of being oversold, and sitting on the sidelines when it's not. This approach aims to optimize entry points, enhancing the potential for better returns while maintaining the simplicity and low stress of DCA. WHAT THIS STRATEGY IS, AND IS NOT This is an investment style strategy. It is designed to improve upon the common standard DCA investment strategy. It is therefore NOT a day trading strategy. Feel free to experiment with various timeframes, but it was designed to be used on a daily timeframe and that's how I recommend it to be used. You may also go months without any buy signals during bull markets, but remember that is exactly the point of the strategy - to keep your buying power on the sidelines until the markets have significantly pulled back. You need to be patient and trust in the historical backtesting you have performed. HOW IT WORKS The Smart DCA Strategy leverages a creative approach to using Moving Averages to identify the most opportune moments to buy. A trigger occurs when a daily candle, in its entirety including the high wick, closes below the threshold line or box plotted on the chart. The indicator is designed to facilitate both backtesting and live trading. HOW TO USE Settings: The input parameters for tuning have been intentionally simplified in an effort to prevent users falling into the overfitting trap. The main control is the Buying strictness scale setting. Setting this to a lower value will provide more buying days (less strict) while higher values mean less buying days (more strict). In my testing I've found level 9 to provide good all round results. Validation days is a setting to prevent triggering entries until the asset has spent a given number of days (candles) in the overbought state. Increasing this makes entries stricter. I've found 0 to give the best results across most assets. In the backtest settings you can also configure how much to buy for each day an entry triggers. Blind buy size is the amount you would buy every day in a standard DCA strategy. Smart buy size is the amount you would buy each day a Smart DCA entry is triggered. You can also experiment with backtesting your strategy over different historical datasets by using the Start date and End date settings. The results table will not calculate for any trades outside what you've set in the date range settings. Backtesting: When backtesting you should use the results table on the top right to tune and optimise the results of your strategy. As with all backtests, be careful to avoid overfitting the parameters. It's better to have a setup which works well across many currencies and historical periods than a setup which is excellent on one dataset but bad on most others. This gives a much higher probability that it will be effective when you move to live trading. The results table provides a clear visual representation as to which strategy, standard or smart, is more profitable for the given dataset. You will notice the columns are dynamically coloured red and green. Their colour changes based on which strategy is more profitable in the A/B style backtest - green wins, red loses. The key metrics to focus on are GOA (Gain on Account) and Avg Cost. Live Trading: After you've finished backtesting you can proceed with configuring your alerts for live trading. But first, you need to estimate the amount you should buy on each Smart DCA entry. We can use the Total invested row in the results table to calculate this. Assuming we're looking to trade on BTCUSD Decide how much USD you would spend each day to buy BTC if you were using a standard DCA strategy. Lets say that is $5 per day Enter that USD amount in the Blind buy size settings box Check the Blind Buy column in the results table. If we set the backtest date range to the last 10 years, we would expect the amount spent on blind buys over 10 years to be $18,250 given $5 each day Next we need to tweak the value of the Smart buy size parameter in setting to get it as close as we can to the Total Invested amount for Blind Buy By following this approach it means we will invest roughly the same amount into our Smart DCA strategy as we would have into a standard DCA strategy over any given time period. After you have calculated the Smart buy size, you can go ahead and set up alerts on Smart DCA buy triggers. BOT AUTOMATION In an effort to maintain the 'set and forget' stress-free benefits of a standard DCA strategy, I have set my personal Smart DCA Strategy up to be automated. The bot runs on AWS and I have a fully functional project for the bot on my GitHub account. Just reach out if you would like me to point you towards it. You can also hook this into any other 3rd party trade automation system of your choice using the pre-configured alerts within the indicator. PLANNED FUTURE DEVELOPMENTS Currently this is purely an accumulation strategy. It does not have any sell signals right now but I have ideas on how I will build upon it to incorporate an algorithm for selling. The strategy should gradually offload profits in bull markets which generates more USD which gives more buying power to rinse and repeat the same process in the next cycle only with a bigger starting capital. Watch this space! MARKETS Crypto: This strategy has been specifically built to work on the crypto markets. It has been developed, backtested and tuned against crypto markets and I personally only run it on crypto markets to accumulate more of the coins I believe in for the long term. In the section below I will provide some backtest results from some of the top crypto assets. Stocks: I've found it is generally more profitable than a standard DCA strategy on the majority of stocks, however the results proved to be a lot more impressive on crypto. This is mainly due to the volatility and cycles found in crypto markets. The strategy makes its profits from capitalising on pullbacks in price. Good stocks on the other hand tend to move up and to the right with less significant pullbacks, therefore giving this strategy less opportunity to flourish. Forex: As this is an accumulation style investment strategy, I do not recommend that you use it to trade Forex. For more info about this strategy including backtest results, please see the full description on the invite only version of this strategy named "Smart DCA Strategy"
Pine Script® indicator
by kevinmck100
2
Stablecoin Delta [SAKANE]Overview Stablecoin Delta is an indicator designed to provide a detailed analysis of the market trends of major stablecoins (USDT and USDC). Stablecoins play a crucial role in supporting the liquidity of the cryptocurrency market, and fluctuations in their supply significantly impact the prices of Bitcoin and other cryptocurrencies. This indicator leverages data from CryptoCap to visualize the daily changes in the market capitalization of stablecoins. Traders can use this tool to understand the effects of stablecoin supply fluctuations on the market in a timely manner, enabling more strategic investment decisions. The key benefits include the ability to quickly monitor stablecoin supply changes, utilize this data as a supplementary tool for predicting Bitcoin price movements, and identify both short-term market movements and long-term trends. This indicator is valuable for traders of all levels, from beginners to seasoned professionals. Features - Support for USDT and USDC Market Cap Monitor the market trends of these two major stablecoins using data from CryptoCap. Users can also choose to analyze only one of them. - Daily Net Change Calculation Calculates the daily change in market capitalization compared to the previous day, providing a clear view of trends. - Flexible Smoothing Options Apply either SMA or EMA smoothing for both the histogram and the line chart, based on user preference. - Customizable Colors Customize the colors for the histogram (positive/negative) and line chart for better visualization. Visualization - Histogram Displays daily net changes as a histogram, with positive changes (green) and negative changes (red) clearly differentiated. - Smoothed Line Chart Provides a smoothed line chart to make trend identification easier. Use Cases - In-depth Analysis of the Cryptocurrency Market The supply of stablecoins is a critical factor influencing the price of Bitcoin and other cryptocurrencies. This indicator helps traders understand overall market liquidity, enabling more effective investment decisions. - Short-Term and Long-Term Strategy Development Trends derived from stablecoin supply fluctuations are essential for traders to gauge short-term price movements and long-term market flows. - Real-Time Market Adjustment In times of sudden market shifts, this tool enables traders to quickly assess changes in stablecoin supply and adjust their positions accordingly. Future Plans - Additional stablecoins will be considered for inclusion if their market share grows significantly. Disclaimer - This indicator relies on data from CryptoCap. The results are subject to the accuracy and timeliness of the data and should be used as reference information only.
Pine Script® indicator
by amusedMagpie26867
SMT Divergence ICT 01 [TradingFinder] Smart Money Technique🔵 Introduction SMT Divergence (short for Smart Money Technique Divergence) is a trading technique in the ICT Concepts methodology that focuses on identifying divergences between two positively correlated assets in financial markets. These divergences occur when two assets that should move in the same direction move in opposite directions. Identifying these divergences can help traders spot potential reversal points and trend changes. Bullish and Bearish divergences are clearly visible when an asset forms a new high or low, and the correlated asset fails to do so. This technique is applicable in markets like Forex, stocks, and cryptocurrencies, and can be used as a valid signal for deciding when to enter or exit trades. Bullish SMT Divergence : This type of divergence occurs when one asset forms a higher low while the correlated asset forms a lower low. This divergence is typically a sign of weakness in the downtrend and can act as a signal for a trend reversal to the upside. Bearish SMT Divergence : This type of divergence occurs when one asset forms a higher high while the correlated asset forms a lower high. This divergence usually indicates weakness in the uptrend and can act as a signal for a trend reversal to the downside. 🔵 How to Use SMT Divergence is an analytical technique that identifies divergences between two correlated assets in financial markets. This technique is used when two assets that should move in the same direction move in opposite directions. Identifying these divergences can help you pinpoint reversal points and trend changes in the market. 🟣 Bullish SMT Divergence This divergence occurs when one asset forms a higher low while the correlated asset forms a lower low. This divergence indicates weakness in the downtrend and can signal a potential price reversal to the upside. In this case, when the correlated asset is forming a lower low, and the main asset is moving lower but the correlated asset fails to continue the downward trend, there is a high probability of a trend reversal to the upside. 🟣 Bearish SMT Divergence Bearish divergence occurs when one asset forms a higher high while the correlated asset forms a lower high. This type of divergence indicates weakness in the uptrend and can signal a potential trend reversal to the downside. When the correlated asset fails to make a new high, this divergence may be a sign of a trend reversal to the downside. 🟣 Confirming Signals with Correlation To improve the accuracy of the signals, use assets with strong correlation. Forex pairs like OANDA:EURUSD and OANDA:GBPUSD , or cryptocurrencies like COINBASE:BTCUSD and COINBASE:ETHUSD , or commodities such as gold ( FX:XAUUSD ) and silver ( FX:XAGUSD ) typically have significant correlation. Identifying divergences between these assets can provide a strong signal for a trend change. 🔵 Settings Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets. Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles. Bullish Divergence Line : Displays a line showing bullish divergence from the lows. Bearish Divergence Line : Displays a line showing bearish divergence from the highs. Bullish Divergence Label : Displays the "+SMT" label for bullish divergences. Bearish Divergence Label : Displays the "-SMT" label for bearish divergences. 🔵 Conclusion SMT Divergence is an effective tool for identifying trend changes and reversal points in financial markets based on identifying divergences between two correlated assets. This technique helps traders receive more accurate signals for market entry and exit by analyzing bullish and bearish divergences. Identifying these divergences can provide opportunities to capitalize on trend changes in Forex, stocks, and cryptocurrency markets. Using SMT Divergence along with risk management and confirming signals with other technical analysis tools can improve the accuracy of trading decisions and reduce risks from sudden market changes.
Pine Script® indicator
by TFlab
17
XRP Comparative Price Action Indicator - Final VersionXRP Comparative Price Action Indicator - Final Version The XRP Comparative Price Action Indicator provides a comprehensive visual analysis of XRP’s price movements relative to key cryptocurrencies and market indices. This indicator normalises price data across various assets, allowing traders and investors to assess XRP’s performance against its peers and major market influences at a glance. Key Features: • Normalised Price Data: Prices are scaled between 0.00 and 1.00, enabling straightforward comparisons between different assets. • Key Comparisons: Includes normalised prices for: • XRP/USD (Bitstamp) • XRP Dominance (CryptoCap) • XRP/BTC (Bitstamp) • BTC/USD (Bitstamp) • BTC Dominance (CryptoCap) • USDT Dominance (CryptoCap) • S&P 500 (SPY) • DXY (Dollar Index) • ETH/USD (Bitstamp) • ETH Dominance (CryptoCap) • XRP/ETH (Binance) • Visual Clarity: Each asset is plotted with distinct colors for easy identification, with thicker lines enhancing visibility on the chart. • Reference Lines: Optional horizontal lines indicate the minimum (0) and maximum (1) normalised values, providing clear reference points for analysis. This indicator is ideal for traders looking to understand XRP’s relative performance, gauge market sentiment, and make informed trading decisions based on comparative price action.
Pine Script® indicator
by ChrisN00100
1