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Detect BOS in Five Candles with MTF - Alert [MsF]Japanese below / 日本語説明は英文の後にあります。 ------------------------- *This indicator is based on azmathshah's "Last Three Candles each of Two HTF". It's a very cool indicator. thank you. You can detect trend reversal with candlesticks. It's MTF compatible and can display up to 2 sets of 5 candles of any time frame on the right side of the chart. By displaying the candles of the upper time frame bars, you can check the trend change and measure the entry timing with the lower time frame bars. There are two types of alerts. "Liquidity Sweep": This is an alert when the upper beard (high) of ③ is touched with the next foot. "Candle Close": An alert when the upper whisker (high) of ③ is exceeded by the closing price of the next bar (generally a strong signal) ------------------------- ローソク足でトレンド転換を検知するインジケーターです。 MTF対応となっておりチャートの右側に任意タイムフレームのローソク5本を最大2セット表示できます。 上位足のローソクを表示することにより、トレンド転換確認しながら、下位足でエントリータイミングを計ることができます。 アラートは2種類あります。 "Liquidity Sweep"：③の上ヒゲ（high）を次の足でタッチした場合のアラートです "Candle Close"：③の上ヒゲ（high）を次の足の終値で上回った場合のアラートです（一般的には強力なシグナルとなります）
Pine Script®指標
由Trader_Morry提供
18
Stock Data Table█  OVERVIEW This is a table that shows some information about stocks. It is divided into four sections:  1) Correlation  2) Shares  3) Daily Data  4) Extended Session Data The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces. It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more. 1) Correlation The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock. To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized. The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends. If you are interested in correlation, I suggest taking a look at my dedicated indicator: 2) Shares This feature provides you with quick access to key information about shares and market capitalization. On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares. The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap. The classification for market cap and free-float market cap is set in this way: Mega Cap: $200 billion or more Large Cap: between $10 billion and $200 billion Mid Cap: between $2 billion and $10 billion Small Cap: between $300 million and $2 billion Micro Cap: less than $300 million Penny Stocks: less than $5 (customizable) Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities. 3) Daily Data This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days. ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices. The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them. 4) Extended Session Data The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume. The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours. The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened. By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges. Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows. █  GENERAL NOTES  • Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable".  • If you cannot see certain data, that simply means it is not available.
Pine Script®指標
由valpatrad提供
7
Central Bank Dark Energy TracerCentral Bank Dark Energy Tracer (CBDE Tracer) What makes The Universe grow at an accelerating pace? Dark Energy. What makes The Economy grow at an accelerating pace? Debt. Debt is the Dark Energy of The Economy. The CBDE Tracer is a tool that tracks currency assets in US dollars that can be scaled to fit other assets on TradingView. The example provided is QQQ with scale factors and offsets applied that best curve fit to the most recent price action. The white line is non-US assets from the following central banks: -JPY (Japan) -CNY (China) -UK (British Pound) -SNB (Swiss National Bank) -ECB (European Central Bank ) The lime green line is for US Federal Reserve data including a midpoint of WRESBAL and the fed liquidity calculation (WALCL - WTREGEN) and then subtracting RRPONTSYD The purple line is the average of the two, US assets, and non-US. The settings can be configured so that only the average is showing, which should the closest aggregate of all liquidity data.
Pine Script®指標
由DarklyEnergized提供
6
30MIN CYCLE█ HOW DOES IT WORK? The known 90 min cycle is used as one killzone. But actually all 18 min are relevant to search for a trade. All 18 min when a new box starts only then is the placement of an order valid. If the entry candle isn't in a box then it will probably fail. The boxes should only be used in the M1 or M5 timeframe. The best hitrate is in the M1 timeframe. Included are the last 48 "Mini-Killzones" für intraday trading and backtesting. These "Mini-Killzones" can be used with the "Liquidity Inducement Strategy". █ WHAT MAKES IT UNIQUE? This is the first indicator on tradingview that shows all mini-killzones for trading and backtesting a whole tradingday. The well-known killzones of ICT are from 08:00-11:00 and 14:00 - 17:00 (UTC+1) but with this indicator there is finally a refinement of the ICT Smart Money Concept killzones. █ HOW TO USE IT? For a proper use of this indicator we suggest to know already at least SMC or better Liquidity Indcuement Trading. This indicator is a further confluence before placing an order. After you made your setup you will have these mini-killzones as a confluence. We don't suggest to open a trade only according to this indicator. █ ADDITIONAL INFO This indicator is free to use for all tradingview users. █ DISCLAIMER This is not financial advice.
Pine Script®指標
由AlgoTrader90提供
6
Day Trading Booster by DGTTiming when day trading can be everything In Stock markets typically more volatility (or price activity) occurs at market opening and closings When it comes to Forex (foreign exchange market), the world’s most traded market, unlike other financial markets, there is no centralized marketplace, currencies trade over the counter in whatever market is open at that time, where time becomes of more importance and key to get better trading opportunities. There are four major forex trading sessions, which are Sydney , Tokyo , London and New York sessions Forex market is traded 24 hours a day, 5 days a week across by banks, institutions and individual traders worldwide, but that doesn’t mean it’s always active the entire day. It may be very difficult time trying to make money when the market doesn’t move at all. The busiest times with highest trading volume occurs during the overlap of the London and New York trading sessions, because U.S. dollar (USD) and the Euro (EUR) are the two most popular currencies traded. Typically most of the trading activity for a specific currency pair will occur when the trading sessions of the individual currencies overlap. For example, Australian Dollar (AUD) and Japanese Yen (JPY) will experience a higher trading volume when both Sydney and Tokyo sessions are open There is one influence that impacts Forex matkets and should not be forgotten : the release of the significant news and reports. When a major announcement is made regarding economic data, currency can lose or gain value within a matter of seconds Cryptocurrency markets on the other hand remain open 24/7, even during public holidays Until 2021, the Asian impact was so significant in Cryptocurrency markets but recent reasearch reports shows that those patterns have changed and the correlation with the U.S. trading hours is becoming a clear evolving trend. Unlike any other market Crypto doesn’t rest on weekends, there’s a drop-off in participation and yet algorithmic trading bots and market makers (or liquidity providers) can create a high volume of activity. Never trust the weekend’ is a good thing to remind yourself One more factor that needs to be taken into accout is Blockchain transaction fees, which are responsive to network congestion and can change dramatically from one hour to the next In general, Cryptocurrency markets are highly volatile, which means that the price of a coin can change dramatically over a short time period in either direction The Bottom Line The more traders trading, the higher the trading volume, and the more active the market. The more active the market, the higher the liquidity (availability of counterparties at any given time to exit or enter a trade), hence the tighter the spreads (the difference between ask and bid price) and the less slippage (the difference between the expected fill price and the actual fill price) - in a nutshell, yield to many good trading opportunities and better order execution (a process of filling the requested buy or sell order) The best time to trade is when the market is the most active and therefore has the largest trading volume, trading all day long will not only deplete a trader's reserves quickly, but it can burn out even the most persistent trader. Knowing when the markets are more active will give traders peace of mind, that opportunities are not slipping away when they take their eyes off the markets or need to get a few hours of sleep What does the Day Trading Booster do? Day Trading Booster is designed ;   - to assist in determining market peak times, the times where better trading opportunities may arise   - to assist in determining the probable trading opportunities   - to help traders create their own strategies. An example strategy of when to trade or not is presented below For Forex markets specifically includes   - Opening channel of Asian session, Europien session or both   - Opening price, opening range (5m or 15m) and day (session) range of the major trading center sessions, including Frankfurt   - A tabular view of the major forex markets oppening/closing hours, with a countdown timer   - A graphical presentation of typically traded volume and various forext markets oppening/clossing events (not only the major markets but many other around the world) For All type of markets Day Trading Booster plots   - Day (Session) Open, 5m, 15m or 1h Opening Range   - Day (Session) Referance Levels, based on Average True Range (ATR) or Previous Day (Session) Range (PH - PL)   - Week and Month Open Day Trading Booster also includes some of the day trader's preffered indicaotrs, such as ;   - VWAP - A custom interpretaion of VWAP is presented here with Auto, Interactive and Manual anchoring options.   - Pivot High/Low detection - Another custom interpretation of Pivot Points High Low indicator.   - A Moving Average with option to choose among SMA, EMA, WMA and HMA An example strategy - Channel Bearkout Strategy When day trading a trader usually monitors/analyzes lower timeframe charts and from time to time may loose insight of what really happens on the market from higher time porspective. Do not to forget to look at the larger time frame (than the one chosen to trade with) which gives the bigger picture of market price movements and thus helps to clearly define the trend Disclaimer : Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Pine Script®指標
由dgtrd提供
350
J1 - Glassnode Metrics ToolkitTV announced that you can now pull data from Glassnode! Here you can find every metric available to compare blockchain data from different coins. How to use: - Select your Coin - Select your Metric Then you can enable another coin or the same one to compare data. As per TV's post: Coins: BTC, ETH, LTC, AAVE, ABT, AMPL, ANT, ARMOR, BADGER, BAL, BAND, BAT, BIX, BNT, BOND, BRD, BUSD, BZRX, CELR, CHSB, CND, COMP, CREAM, CRO, CRV, CVC, CVP, DAI, DDX, DENT, DGX, DHT, DMG, DODO, DOUGH, DRGN, ELF, ENG, ENJ, EURS, FET, FTT, FUN, GNO, GUSD, HEGIC, HOT, HPT, HT, HUSD, INDEX, KCS, LAMB, LBA, LDO, LEO, LINK, LOOM, LRC, MANA, MATIC, MCB, MCO, MFT, MIR, MKR, MLN, MTA, MTL, MX, NDX, NEXO, NFTX, NMR, Nsure, OCEAN, OKB, OMG, PAX, PAY, PERP, PICKLE, PNK, PNT, POLY, POWR, PPT, QASH, QKC, QNT, RDN, REN, REP, RLC, ROOK, RPL, RSR, SAI, SAN, SNT, SNX, STAKE, STORJ, sUSD, SUSHI, TEL, TOP, UBT, UMA, UNI, USDC, USDK, USDT, UTK, VERI, WaBi, WAX, WBTC, WETH, wNMX, WTC, YAM, YFI, ZRX. Metrics: ACTIVEADDRESSES — Number of Active Addresses SENDINGADDRESSES — Number of Sending Addresses RECEIVINGADDRESSES — Number of Receiving Addresses NEWADDRESSES — Number of New Addresses ADDRESSES — Number of Addresses BLOCKS — Block Height BLOCKSMINED — Number of Blocks Mined BLOCKMEANINTERVAL — Mean Block Interval BLOCKMEDIANINTERVAL — Median Block Interval TOTALBLOCKSIZE — Total Block Size MEANBLOCKSIZE — Mean Block Size TOTALTXFEES — Total Transaction Fees MEANTXFEES — Mean Transaction Fees MEDIANTXFEES — Median Transaction Fees TOTALTXFEESUSD — Total Transaction Fees in USD MEANTXFEESUSD — Mean Transaction Fees in USD MEDIANTXFEESUSD — Median Transaction Fees in USD TOTALGASUSED — Total Gas Used MEANGASUSED — Mean Gas Used MEDIANGASUSED — Median Gas Used MEANTXGASPRICE — Mean Transaction Gas Price in gwei MEDIANTXGASPRICE — Median Transaction Gas Price in gwei MEANTXGASPRICEUSD — Mean Transaction Gas Price in USD MEDIANTXGASPRICEUSD — Median Transaction Gas Price in USD MEANGASLIMIT — Mean Transaction Gas Limit MEDIANGASLIMIT — Median Transaction Gas Limit MARKETCAP — Market Cap DIFFICULTY — Mining Difficulty HASHRATE — Mean Hash Rate ATHDRAWDOWN — Price Drawdown from ATH SOPR — Spent Output Profit Ratio (SOPR) NEWDEPOSITS — Number of New Deposits NEWSTAKED — Amount of New Value Staked NEWSTAKEDUSD — Amount of New Value Staked in USD NEWVALIDATORS — Number of New Validators DEPOSITS — Total Number of Deposits STAKED — Total Value Staked STAKEDUSD — Total Value Staked in USD VALIDATORS — Total Number of Validators PHASE0GOAL — Phase 0 Staking Goal ACTIVE1Y — Percent of Supply Last Active 1+ Years Ago TXS — Number of Transactions TXSPS — Number of Transactions per Second TFSPS — Number of Transfers per Second TOTALTXSIZE — Total Size of Transactions MEANTXSIZE — Mean Size of Transfers TOTALVOLUME — Total Transfer Volume TOTALVOLUMEUSD — Total Transfer Volume in USD MEANVOLUME — Mean Transfer Volume MEANVOLUMEUSD — Mean Transfer Volume in USD MEDIANVOLUME — Median Transfer Volume MEDIANVOLUMEUSD — Median Transfer Volume in USD UTXOCREATED — Number of Created UTXOs UTXOSPENT — Number of Spent UTXOs UTXOTOTAL — Total Numbers of UTXOs in the Network UTXOVALUETOTAL — Total Value of Created UTXOs UTXOVALUETOTALUSD — Total Value of Created UTXOs in USD UTXOVALUEMEAN — Mean Value of Created UTXOs UTXOVALUEMEANUSD — Mean Value of Created UTXOs in USD UTXOVALUEMEDIAN — Median Value of Created UTXOs UTXOVALUEMEDIANUSD — Median Value of Created UTXOs in USD UTXOVALUETOTALSPENT — Total Value of Spent UTXOs UTXOVALUETOTALSPENTUSD — Total Value of Spent UTXOs in USD UTXOVALUEMEANSPENT — Mean Value of Spent UTXOs UTXOVALUEMEANSPENTUSD — Mean Value of Spent UTXOs in USD UTXOVALUEMEDIANSPENT — Median Value of Spent UTXOs UTXOVALUEMEDIANSPENTUSD — Median Value of Spent UTXOs in USD UNISWAPTXS — Number of Transactions on Uniswap UNISWAPTOTALVOLUME — Total Volume Traded on Uniswap UNISWAPTOTALVOLUMEUSD — Total Volume Traded on Uniswap in USD UNISWAPLIQUIDITY — Total Liquidity on Uniswap UNISWAPLIQUIDITYUSD — Total Liquidity on Uniswap in USD
Pine Script®指標
由Jmorgado89提供
6
PVSRA Volume Price - Some people say "Price Action is King". I say, we cannot know how the MMs (Market Makers) will move price next, period. But price tends to consolidate above key SR when MMs are filling short orders for SM (Smart Money) and long orders for DM (Dumb Money), and price tends to consolidate below key SR when MMs are filling long orders for SM and short orders for DM. The MMs are also "SM", and they tend to do the other SMs "one better"! This means that after the MMs fill the SM/DM orders, they might move price a bit further in an attempt to stop out some of those SM executed orders and sucker in more DM; both giving liquidity for the MMs to add to their own SM side position. Yes, the MMs are bastards. But the point is that could leave price not "nicely" above or below a SR anymore, yet more consolidation can occur. Volume - Increases in activity denote increase in interest. But, is it long or short interest? Where is price in the bigger picture when this is happening? Is it at relative highs, or lows in the overall price action? And if a high volume bar is for a candle which you can examine by going to lower TF charts, you might see where in the spread of that candle the most volume occurred, high or low! Using volume is about taking note of relative increases in volume and what price is doing at the same time. Are the better volumes favoring the lower or the higher prices, as the MMs waffle price up and down? And do the volumes get particularly notable when the MMs take price above or below key SR? S&R - Read all about S&R at "Baby Pips.com". What I want you to realize here is that the whole, half and quarter numbered price levels (hereinafter referred to as "Levels") are the most important SR of all in this market! Not because price stops, pauses, proceeds or reverses there, but because it is above or below these levels that important consolidation (MMs filling SM orders) takes place. Once SM long orders are filled, they become interested in placing orders to close them at higher prices, and hence the MMs will be moving price higher, eventually. Once SM short orders are filled, they become interested in placing orders to close them at lower prices, and hence the MMs will be moving price lower, eventually. PVSRA - If we can spot consolidations above/below key SR, examine the overall price action on various TF charts, and take note of where the notable increases in volume have most recently occurred (did volume favor relative highs or lows), then we can build a consensus about what kind of orders the MMs have most recently been filling; buying to open longs or close shorts, or selling to open shorts or close longs. And we can get a better idea if things will next become bullish or bearish. And once PA confirms our bullish or bearish PVSRA results, by recognizing the importance of Levels we can look beyond current PA in the direction it is going and look to historic PA S&R (consolidation around key Levels) to come up with candidates for where the price might be headed. And bull or bear swings typically run in terms of 100+, 150+, 200+ pips, .....etc. And now you know why. Okay. Now, if this is your first introduction to PVSRA, and having just read the above, you are likely scratching your head and still confused. That is normal. I will tell you a secret about the market and why you have a right to be confused. The secret is this. The market cannot be defined by mathematics nor by immutable logic. This is why the most advanced mathematicians over a century have never even come close to cracking the market. It cannot be done. Something else, other than math and immutable logic is the fundamental operand in the market. Have you ever watched a child attempt a jigsaw puzzle for the first time? And watched as that child grew and attempted more of them, and more complex ones? What is at work in the market I will elaborate on later, but for now trust me in this. We need to apply ourselves to learning how to do PVSRA just as a child attacks learning how to do jigsaw puzzles. And we must continue doing PVSRA, because in time our mind will "learn" when we have just picked up an important piece of the puzzle, and that we know where it goes! Developing the skill of PVSRA is an art form. We must not allow ourselves to feel badly if we miss clues. PVSRA is an art form that takes time to perfect. Over time our skill will grow and our "read" of the unpredictable market will improve. We must take to ongoing learning and application of PVSRA. Introduction to How the Market Really Works Does anybody remember the "lil' Abner" cartoons in the Sunday papers? Let me draw for you a mental picture of how the market really works..... Imagine Daddy Yokum ferociously racing a buckboard wagon up and down the steep inclines and declines in the rough, rocky mountain road that has sharp turns and a sheer cliff on one side. The wagon wheels are spewing rocks off the side of the cliff! Even Daddy Yokum's shotgun is going off due to the jolting of the buckboard! Daddy Yokum has a demented look on his face, but he is smiling! The horse has a wild look in it's eyes and is frothing at the mouth. There are two passengers being tossed around in the back of the buckboard, terror stricken! Now, let's pan back from this cartoon picture and place the labels needed. On the side of the wagon is the sign "Market Pricing". The demented, smiling Daddy Yokum, is the Market Maker. The passengers being tossed around are the buyers and sellers. .....Got it? Market prices are not determined by the buyers and sellers. They are determined by the Robber Bank Market Makers (MMs). MMs are Market Manipulators of Price, and Thieves! The "market" is the sole creation of the Robber Banks that "make the market". While it serves the world of commerce, they run it to make profits. And they opened the market up to foster prolific currency trading by others for the sole purpose of making more profits. They move prices up and down to "create liquidity" to fill the orders of SM (Smart Money) and DM (Dumb Money), for the commissions they make by filling the orders. When they have some orders above the current price and some below the current price, who do you think determines the sequence of direction and distance the price is going to move so these orders can be filled? And always - since they know how they are going to move price next - they take positions themselves to make additional profits. They do this by: 1. Manipulating price to sucker into the market DM that is taking the wrong side position. 2. Manipulating price to sucker into the market SM that is taking the right side position, but too soon, and later manipulating price to hit their stops. They have total control of pricing, and by these actions they effectively "steal" from others the money to fill their own "right side" positions before moving the price to the next area they have decided on for filling orders, and for taking profit on their positions built beforehand. Don't get me wrong. I do not object to the market volatility these thieving Robber Banks create. We need it. But we also need to understand what these people are like, the cloth they are cut from. They are crooks, and we have to be extra careful about trading in the market they operate. On some special days you can see them in their true colors. We should witness it. Take note of it. Speak of it. And remember it!
Pine Script®指標
由creengrack提供
42
DOJI FU IndicatorIndicator is designed to paint a doji, the size of which can be adjusted in settings. Provided there is a valid doji, the following candle is a 'FU candle' or an 'Institution' candle. This candle wicks above/below the doji and takes liquidity from above or below. Colours can be changed Red = Doji candle Yellow = FU candle Example shown on the 1hr chart, red doji indicating a change of trend upwards, the FU candle (yellow) takes liquidity from above and sweeps down.
Pine Script®指標
由awpthorp提供
4
Multi-Exchange Volume (30 Tickers) by kurtsmock + BV + rVolauthor: kurtsmock Fully Customizable ticker set. Up to 30 Tickers. Bitcoin set as default. -- IMPORTANT NOTE: -- 30 Exchanges are a lot. It can take a while to load. You can fully customize this indicator to your liking. Here's how: 1. Load indicator 2. Open Settings 3. Uncheck the switch box for exchanges you want unincluded 4. At the bottom of the settings menu click "Defaults" and hit "Save as Default" 5. To turn them all back on, hit "Reset Settings" in that same "Defaults" menu and click "Save as Default" again. Also, you don't have to use this with Bitcoin. This works with any asset, just change the ticker in the settings. There's a lot going on with this indicator so the following is descriptions and instructions to help you better understand what's going on here. Thanks! Goal: - To provide a mechanism for assets on multiple exchanges to have their volume evaluated together Edge: - Having better and more complete volume information Notes: - The Default Exchanges for this indicator are highest volume bitcoin exchanges, but may contain "fake volume" - Indicator is set for Bitcoin by default. However, you can change the tickers to reflect any asset you want ////// rVol ////// Goal: - To understand how much volume is being executed relative to the same candle on previous days/periods Edge: - Higher rVol implies higher volatility and market interest. - High rVol = higher than average volume . Markets move on volume so higher than average volume indicates increased market activity/volatility - rVol is an indirect measure of active or anticipated volatility Definitions: - rVol: The volume of a period compared to the Average Volume of that same period in past sessions - Important to note it does NOT add up the last 10 (default) candles, but rather the last 10 candles at session intervals. - Example: -- On a Tuesday, 1h chart it will add up the last ten Tuesday, 9:00 am candles, not including the current, active candle. -- It then averages those lookback candles. -- It then plots the percentage relationship between the most recent candle and the average of the lookback candles -- Avg Vol of Lookback candles = 5000, -- Volume of most recent candle = 4000: Output = rVol = 80: -- Volume of most recent candle was 80% of the average volume in the 9 am time period of the last ten Tuesdays in the 9 am, 1h period Notes: - rVol does not add current candle volume into lookback sum. So, you set lookback to be: (not including the current day) - rVol is on a switch. So, if you want to see rVol instead of volume, hit the switch in the settings - If you want to see both, load 2 instances of the indicator. ////// Better-er Volume ////// Goal: To Identify: - When a candle closes at the highest volume * range relative to the lookback period and close > open - When a candle closes at the highest volume * range relative to the lookback period and close < open - When a candle closes at the highest volume / price relative to the lookback period Edge: - Identifies beginnings of price expansion, climax of price expansion, breakouts, pivots, and take profit points on the volume chart Notes: - Based generally on Barry Taylor's "Better Volume" indicator and ideas from Pascal Willain's book "Value in Time." - Better-er Volume rules are applied to both Total Volume or rVol. -- When rVol is displayed Better-er Volume is applied to rVol -- When Total Volume is displayed Better-er Volume is applied to Total Volume // Plot Key: // Green Triangle Up = Often marks the beginning and/or end of price expansion to the upside Red Triangle Up = Often marks the beginning and/or end of price expansion to the downside Yellow Square = High Volume but Tight Range. Implies a Battle of Bulls and Bears. High Liquidity area. Provided Liquidity is not enough to move price. Thick Limit Order Book. Purple Triangle Up or Down = Implies high market participation. Typically at the end of expansion when very significant s/r is hit category: volume Volatility tags: Volume rVol relativevolume Bitcoin cryptocurrency bettervolume Many More Volume Indicators Coming Out Soon!
Pine Script®指標
由kurtsmock提供
1
QFisher-R™ [ParadoxAlgo]QFISHER-R™ (Regime-Aware Fisher Transform) A research/education tool that helps visualize potential momentum exhaustion and probable inflection zones using a quantitative, non-repainting Fisher framework with regime filters and multi-timeframe (MTF) confirmation. What it does Converts normalized price movement into a stabilized Fisher domain to highlight potential turning points. Uses adaptive smoothing, robust (MAD/quantile) thresholds, and optional MTF alignment to contextualize extremes. Provides a Reversal Probability Score (0–100) to summarize signal confluence (extreme, slope, cross, divergence, regime, and MTF checks). Key features Non-repainting logic (bar-close confirmation; security() with no lookahead). Dynamic exhaustion bands (data-driven thresholds vs fixed ±2). Adaptive smoothing (efficiency-ratio based). Optional divergence tags on structurally valid pivots. MTF confirmation (same logic computed on a higher timeframe). Compact visuals with subtle plotting to reduce chart clutter. Inputs (high level) Source (e.g., HLC3 / Close / HA). Core lookback, fast/slow range blend, and ER length. Band sensitivity (robust thresholding). MTF timeframe(s) and agreement requirement. Toggle divergence & intrabar previews (default off). Signals & Alerts Turn Candidate (Up/Down) when multiple conditions align. Trade-Grade Turn when score ≥ threshold and MTF agrees. Divergence Confirmed when structural criteria are met. Alerts are generated on confirmed bar close by default. Optional “preview” mode is available for experimentation. How to use Start on your preferred timeframe; optionally enable an HTF (e.g., 4×) for confirmation. Look for RPS clusters near the exhaustion bands, slope inflections, and (optionally) divergences. Combine with your own risk management, liquidity, and trend context. Paper test first and calibrate thresholds to your instrument and timeframe. Notes & limitations This is not a buy/sell signal generator and does not predict future returns. Readings can remain extreme during strong trends; use HTF context and your own filters. Parameters are intentionally conservative by default; adjust carefully. Compliance / Disclaimer Educational & research tool only. Not financial advice. No recommendation to buy/sell any security or derivative. Past performance, backtests, or examples (if any) are not indicative of future results. Trading involves risk; you are responsible for your own decisions and risk management. Built upon the Fisher Transform concept (Ehlers); all modifications, smoothing, regime logic, scoring, and visualization are original work by Paradox Algo.
Pine Script®指標
由paradoxalgo提供
ICT + ORB + VIXFix Confluence Signals (Panel)What it is ICT + ORB + VIXFix Confluence Signals (Panel) is a signal-only Pine v5 indicator that prints clean BUY/SELL arrows when multiple filters align: ICT structure: BOS / liquidity sweeps + 3-candle FVG with minimum size by ATR Trend filter: EMA 50 vs EMA 200 ORB filter: opening-range breakout (custom session + minutes) VIXFix filter: CM_Williams_VIX_Fix–style volatility spike (incl. inverted top) Status panel: shows which filters are passing and why a signal didn’t fire No orders are placed; it’s meant to identify trades and trigger alerts. How signals are built (picky by design) A BUY arrow paints when all enabled conditions are true: Trend: EMA50 > EMA200 (or disabled) ICT: BOS/sweep and bullish FVG (if enabled) ORB: price breaks above ORB high after the ORB window closes (if enabled) VIXFix: recent bottom spike within VIX_Lookback bars (if enabled) A SELL arrow mirrors the above (downtrend, bearish FVG, break below ORB low, recent top spike). Tip: Leave “Confirm Close Only” on for cleaner signals and fewer repaint-like artifacts. Inputs (quick reference) Use Trend (EMA 50/200): require higher-timeframe trend alignment Use FVG / Use Sweep/BOS: ICT structure filters SwingLen: pivot left/right length for swings (structure sensitivity) MinFVG_ATR: minimum FVG size as a fraction of ATR (e.g., 0.20 = 20% ATR) Session / ORB_Min / Plot_ORB: first N minutes after session open define the range VIX_LB, VIX_BBLen, VIX_Mult, VIX_Lookback: VIXFix parameters (spike threshold + validity) Confirm Close Only: only signal at bar close (recommended) Show Status Panel: compact checklist explaining current filter states Alerts Create alerts on this indicator using “Once per bar close” (recommended) and these built-in conditions: BUY Signal → message: ICT ORB VIXFix BUY SELL Signal → message: ICT ORB VIXFix SELL Recommended starting presets NQ1! / ES1! (US session), intraday 1–5m Confirm Close Only: ON Use Trend: ON Use FVG + Use Sweep/BOS: ON SwingLen: 3–5 MinFVG_ATR: 0.20–0.30 Session: 0930–1600 (exchange time) ORB_Min: 10–15 VIXFix: ON, VIX_Lookback 10–20 If you see too few signals, loosen MinFVG_ATR (e.g., 0.10) or temporarily turn off the VIXFix and ORB filters, then re-enable them. What the panel tells you Trend (UP/DN): EMA relationship ICT Long/Short: whether structure/FVG requirements pass for each side ORB Ready / Long/Short: whether the ORB window is complete and which side broke VIX Long/Short: recent bottom/top spike validity Signals: BUY/SELL computed this bar Why none: quick text reason (trend / ict / orb / vix) if no signal Notes & attribution VIXFix is a re-implementation of the CM_Williams_VIX_Fix concept (plus inverted top). ORB logic uses your chosen session; if your market differs, adjust Session or test on SPY/ES1!/NQ1!. This is an indicator, not financial advice. Always validate on your instruments/timeframes. Changelog v1.0 – Initial release: ICT structure + FVG size by ATR, ORB breakout filter, VIXFix spike filter, trend filter, alerts, and status panel. Tags ICT, FVG, ORB, VIX, VIXFix, volatility, structure, BOS, sweep, breakout, EMA, futures, indices, NQ, ES, SPY, day trading, confluence, signals
Pine Script®指標
由chadsingh提供
Manipulation Day [Alex Ko]🇺🇸 Description Indicator “Manipulation Day” This indicator helps you detect a potential manipulation day (e.g. Monday) and track the price reaction afterward. 📌 Features: Select any weekday as a manipulation day. Wait for N candles after it. If the manipulation day closes higher than it opened — a green triangle appears. If lower — red triangle. After N days, a line is drawn from the next day's open to the close — green if price increased, red if dropped. A label shows the delta (Δ) between open and close for that range. 🧠 Useful for spotting potential trap setups or liquidity grabs followed by directional moves.
Pine Script®指標
由AlexKondom提供
Piman2077: Previous Day Volume Profile levelsPrevious Day Volume Profile Indicator Description: Previous Day Volume Profile Indicator plots the previous trading session’s Volume Profile key levels directly on your chart, providing clear reference points for intraday trading. This indicator calculates the Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) from the prior session and projects them across the current trading day, helping traders identify potential support, resistance, and high-volume zones. Features: Calculates previous day VAH, VAL, and POC based on a user-defined session (default 09:30–16:00). Uses Volume Profile bins for precise distribution calculation. Fully customizable line colors for VAH, VAL, and POC. Lines extend across the current session for easy intraday reference. Works on any timeframe, optimized for 1-minute charts for precision. Optional toggles to show/hide VAH, VAL, and POC individually. Inputs: Session Time: Define the trading session for which the volume profile is calculated. Profile Bins: Number of price intervals used to divide the session range. Value Area %: Percentage of volume to include in the value area (default 68%). Show POC / VAH & VAL: Toggle visibility of each level. Line Colors: Customize VAH, VAL, and POC colors. Use Cases: Identify previous session support and resistance levels for intraday trading. Gauge areas of high liquidity and potential market reaction zones. Combine with other indicators or price action strategies for improved entries and exits. Recommended Timeframe: Works on all timeframes; best used on 1-minute or 5-minute charts for precise intraday analysis.
Pine Script®指標
由piman2077提供
Meta-LR ForecastThis indicator builds a forward-looking projection from the current bar by combining twelve time-compressed “mini forecasts.” Each forecast is a linear-regression-based outlook whose contribution is adaptively scaled by trend strength (via ADX) and normalized to each timeframe’s own volatility (via that timeframe’s ATR). The result is a 12-segment polyline that starts at the current price and extends one bar at a time into the future (1× through 12× the chart’s timeframe). Alongside the plotted path, the script computes two summary measures: * Per-TF Bias% — a directional efficiency × R² score for each micro-forecast, expressed as a percent. * Meta Bias% — the same score, but applied to the final, accumulated 12-step path. It summarizes how coherent and directional the combined projection is. This tool is an indicator, not a strategy. It does not place orders. Nothing here is trade advice; it is a visual, quantitative framework to help you assess directional bias and trend context across a ladder of timeframe multiples. The core engine fits a simple least-squares line on a normalized price series for each small forecast horizon and extrapolates one bar forward. That “trend” forecast is paired with its mirror, an “anti-trend” forecast, constructed around the current normalized price. The model then blends between these two wings according to current trend strength as measured by ADX. ADX is transformed into a weight (w) in using an adaptive band centered on the rolling mean (μ) with width derived from the standard deviation (σ) of ADX over a configurable lookback. When ADX is deeply below the lower band, the weight approaches -1, favoring anti-trend behavior. Inside the flat band, the weight is near zero, producing neutral behavior. Clearly above the upper band, the weight approaches +1, favoring a trend-following stance. The transitions between these regions are linear so the regime shift is smooth rather than abrupt. You can shape how quickly the model commits to either wing using two exponents. One exponent controls how aggressively positive weights lean into the trend forecast; the other controls how aggressively negative weights lean into the anti-trend forecast. Raising these exponents makes the response more gradual; lowering them makes the shift more decisive. An optional switch can force full anti-trend behavior when ADX registers a deep-low condition far below the lower tail, if you prefer a categorical stance in very flat markets. A key design choice is volatility normalization. Every micro-forecast is computed in ATR units of its own timeframe. The script fetches that timeframe’s ATR inside each security call and converts normalized outputs back to price with that exact ATR. This avoids scaling higher-timeframe effects by the chart ATR or by square-root time approximations. Using “ATR-true” for each timeframe keeps the cross-timeframe accumulation consistent and dimensionally correct. Bias% is defined as directional efficiency multiplied by R², expressed as a percent. Directional efficiency captures how much net progress occurred relative to the total path length; R² captures how well the path aligns with a straight line. If price meanders without net progress, efficiency drops; if the variation is well-explained by a line, R² rises. Multiplying the two penalizes choppy, low-signal paths and rewards sustained, coherent motion. The forward path is built by converting each per-timeframe Bias% into a small ATR-sized delta, then cumulatively adding those deltas to form a 12-step projection. This produces a polyline anchored at the current close and stepping forward one bar per timeframe multiple. Segment color flips by slope, allowing a quick read of the path’s direction and inflection. Inputs you can tune include: * Max Regression Length. Upper bound for each micro-forecast’s regression window. Larger values smooth the trend estimate at the cost of responsiveness; smaller values react faster but can add noise. * Price Source. The price series analyzed (for example, close or typical price). * ADX Length. Period used for the DMI/ADX calculation. * ATR Length (normalization). Window used for ATR; this is applied per timeframe inside each security call. * Band Lookback (for μ, σ). Lookback used to compute the adaptive ADX band statistics. Larger values stabilize the band; smaller values react more quickly. * Flat half-width (σ). Width of the neutral band on both sides of μ. Wider flats spend more time neutral; narrower flats switch regimes more readily. * Tail width beyond flat (σ). Distance from the flat band edge to the extreme trend/anti-trend zone. Larger tails create a longer ramp; smaller tails reach extremes sooner. * Polyline Width. Visual thickness of the plotted segments. * Negative Wing Aggression (anti-trend). Exponent shaping for negative weights; higher values soften the tilt into mean reversion. * Positive Wing Aggression (trend). Exponent shaping for positive weights; lower values make trend commitment stronger and sooner. * Force FULL Anti-Trend at Deep-Low ADX. Optional hard switch for extremely low ADX conditions. On the chart you will see: * A 12-segment forward polyline starting from the current close to bar\_index + 1 … +12, with green segments for up-steps and red for down-steps. * A small label at the latest bar showing Meta Bias% when available, or “n/a” when insufficient data exists. Interpreting the readouts: * Trend-following contexts are characterized by ADX above the adaptive upper band, pushing w toward +1. The blended forecast leans toward the regression extrapolation. A strongly positive Meta Bias% in this environment suggests directional alignment across the ladder of timeframes. * Mean-reversion contexts occur when ADX is well below the lower tail, pushing w toward -1 (or forcing anti-trend if enabled). After a sharp advance, a negative Meta Bias% may indicate the model projects pullback tendencies. * Neutral contexts occur when ADX sits inside the flat band; w is near zero, the blended forecast remains close to current price, and Meta Bias% tends to hover near zero. These are analytical cues, not rules. Always corroborate with your broader process, including market structure, time-of-day behavior, liquidity conditions, and risk limits. Practical usage patterns include: * Momentum confirmation. Combine a rising Meta Bias% with higher-timeframe structure (such as higher highs and higher lows) to validate continuation setups. Treat the 12th step’s distance as a coarse sense of potential room rather than as a target. * Fade filtering. If you prefer fading extremes, require ADX to be near or below the lower ramp before acting on counter-moves, and avoid fades when ADX is decisively above the upper band. * Position planning. Because per-step deltas are ATR-scaled, the path’s vertical extent can be mentally mapped to typical noise for the instrument, informing stop distance choices. The script itself does not compute orders or size. * Multi-timeframe alignment. Each step corresponds to a clean multiple of your chart timeframe, so the polyline visualizes how successively larger windows bias price, all referenced to the current bar. House-rules and repainting disclosures: * Indicator, not strategy. The script does not execute, manage, or suggest orders. It displays computed paths and bias scores for analysis only. * No performance claims. Past behavior of any measure, including Meta Bias%, does not guarantee future results. There are no assurances of profitability. * Higher-timeframe updates. Values obtained via security for higher-timeframe series can update intrabar until the higher-timeframe bar closes. The forward path and Meta Bias% may change during formation of a higher-timeframe candle. If you need confirmed higher-timeframe inputs, consider reading the prior higher-timeframe value or acting only after the higher-timeframe close. * Data sufficiency. The model requires enough history to compute ATR, ADX statistics, and regression windows. On very young charts or illiquid symbols, parts of the readout can be unavailable until sufficient data accumulates. * Volatility regimes. ATR normalization helps compare across timeframes, but unusual volatility regimes can make the path look deceptively flat or exaggerated. Judge the vertical scale relative to your instrument’s typical ATR. Tuning tips: * Stability versus responsiveness. Increase Max Regression Length to steady the micro-forecasts but accept slower response. If you lower it, consider slightly increasing Band Lookback so regime boundaries are not too jumpy. * Regime bands. Widen the flat half-width to spend more time neutral, which can reduce over-trading tendencies in chop. Shrink the tail width if you want the model to commit to extremes sooner, at the cost of more false swings. * Wing shaping. If anti-trend behavior feels too abrupt at low ADX, raise the negative wing exponent. If you want trend bias to kick in more decisively at high ADX, lower the positive wing exponent. Small changes have large effects. * Forced anti-trend. Enable the deep-low option only if you explicitly want a categorical “markets are flat, fade moves” policy. Many users prefer leaving it off to keep regime decisions continuous. Troubleshooting: * Nothing plots or the label shows “n/a.” Ensure the chart has enough history for the ADX band statistics, ATR, and the regression windows. Exotic or illiquid symbols with missing data may starve the higher-timeframe computations. Try a more liquid market or a higher timeframe. * Path flickers or shifts during the bar. This is expected when any higher-timeframe input is still forming. Wait for the higher-timeframe close for fully confirmed behavior, or modify the code to read prior values from the higher timeframe. * Polyline looks too flat or too steep. Check the chart’s vertical scale and recent ATR regime. Adjust Max Regression Length, the wing exponents, or the band widths to suit the instrument. Integration ideas for manual workflows: * Confluence checklist. Use Meta Bias% as one of several independent checks, alongside structure, session context, and event risk. Act only when multiple cues align. * Stop and target thinking. Because deltas are ATR-scaled at each timeframe, benchmark your proposed stops and targets against the forward steps’ magnitude. Stops that are much tighter than the prevailing ATR often sit inside normal noise. * Session context. Consider session hours and microstructure. The same ADX value can imply different tradeability in different sessions, particularly in index futures and FX. This indicator deliberately avoids: * Fixed thresholds for buy or sell decisions. Markets vary and fixed numbers invite overfitting. Decide what constitutes “high enough” Meta Bias% for your market and timeframe. * Automatic risk sizing. Proper sizing depends on account parameters, instrument specifications, and personal risk tolerance. Keep that decision in your risk plan, not in a visual bias tool. * Claims of edge. These measures summarize path geometry and trend context; they do not ensure a tradable edge on their own. Summary of how to think about the output: * The script builds a 12-step forward path by stacking linear-regression micro-forecasts across increasing multiples of the chart timeframe. * Each micro-forecast is blended between trend and anti-trend using an adaptive ADX band with separate aggression controls for positive and negative regimes. * All computations are done in ATR-true units for each timeframe before reconversion to price, ensuring dimensional consistency when accumulating steps. * Bias% (per-timeframe and Meta) condenses directional efficiency and trend fidelity into a compact score. * The output is designed to serve as an analytical overlay that helps assess whether conditions look trend-friendly, fade-friendly, or neutral, while acknowledging higher-timeframe update behavior and avoiding prescriptive trade rules. Use this tool as one component within a disciplined process that includes independent confirmation, event awareness, and robust risk management.
Pine Script®指標
由Tradenometry提供
Indicador Millo SMA20-SMA200-AO-RSI M1This indicator is designed for scalping in 1-minute timeframes on crypto pairs, combining trend direction, momentum, and oscillator confirmation. Logic: Trend Filter: Only BUY signals when price is above the SMA200. Only SELL signals when price is below the SMA200. Entry Trigger: BUY: Price crosses above the SMA20. SELL: Price crosses below the SMA20. Confirmation Window: After the price cross, the Awesome Oscillator (AO) must cross the zero line in the same direction within a maximum of N bars (configurable, default = 4). RSI must be > 50 for BUY and < 50 for SELL at the moment AO confirms. Cooldown: A cooldown period (configurable, default = 10 bars) prevents multiple signals of the same type in a short time, reducing noise in sideways markets. Features: Works on any crypto pair and can be used in other markets. Adjustable confirmation window, RSI threshold, and cooldown. Alerts ready for BUY and SELL conditions. Can be converted into a strategy for backtesting with TP/SL. Suggested Use: Pair: BTC/USDT M1 or similar high-liquidity asset. Combine with manual support/resistance or higher timeframe trend analysis. Recommended to confirm entries visually and with additional confluence before trading live.
Pine Script®指標
由hernangarcia_78提供
2
MistaB SMC Navigation ToolkitMistaB SMC Navigation Toolkit A complete Smart Money Concepts (SMC) toolkit designed for precision navigation of market structure, order flow, and premium/discount trading zones. Perfect for traders following ICT-style concepts and multi-timeframe confluence. Features ✅ Order Blocks (OBs) • Automatic bullish & bearish OB detection • Optional displacement & high-volume filters • Midline display for quick equilibrium view • Auto-expiry and broken OB cleanup ✅ Fair Value Gaps (FVGs) • Bullish & bearish gap detection • HTF bias filtering for higher accuracy • Compact boxes with labels • Automatic removal when filled ✅ Market Structure (BoS / CHoCH) • Fractal-based swing detection • Break of Structure & Change of Character labeling • Dynamic HTF bias dimming ✅ Premium / Discount Zones • Auto-calculated mid-level • Highlighted zones for optimal trade placement ✅ Higher Timeframe (HTF) Confirmation • Configurable confirmation timeframe • On-chart HTF status label (Bullish / Bearish / Not Required) ✅ Automatic Cleanup System • Fast or delayed cleanup for expired/broken zones • Dimmed colors for invalidated levels How to Use Set your preferred HTF in the settings. Look for OB/FVGs aligned with HTF bias. Enter in discount zones for longs or premium zones for shorts. Confirm with BoS / CHoCH signals before entry. Manage trades towards opposing liquidity zones or HTF levels. Disclaimer This indicator is for educational purposes only. It does not provide financial advice or guarantee future results. Always practice proper risk management and test thoroughly before live trading.
Pine Script®指標
由Mistab1009提供
Kootch EMA MapKootch EMA overlays the 200 EMA from M1, M5, M15, M30, H1, H4, and D1 on any chart so you always see where higher and lower-timeframe trend gravity actually is. It also builds an optional Fib channel between the most extreme MTF 200 EMAs (min/max), giving you clean intrachannel targets and confluence zones. What it does • Plots seven 200 EMAs (M1 → D1) simultaneously via MTF pulls • Color/weight hierarchy: thicker lines = higher timeframe (clear priority) • Right-edge TF tags (M1, M5, … D1) so you know exactly what you’re looking at • Optional Fib levels between min/max MTF 200 EMAs (0 → 1 band) for entries, adds, and take-profit scaling Why traders use it • Immediate read on trend alignment vs. chop across timeframes • Mean-reversion & continuation cues when price stretches from/returns to key EMAs • Level stacking: use M30/H1/H4/D1 as bias, trade entries around lower-TF reactions Inputs • EMA Length (default 200) • Label offset (push tags off the last bar) • Show Fib channel toggle + color control How I use it • Bias from D1/H4/H1; execution from M5/M15. • Fade or follow at Fib 0.382 / 0.618 inside the EMA envelope; scale out near Fib 1.0 into HTF EMAs. • Skip trades when EMAs are braided and distances are compressed. Notes • Works on any symbol/timeframe; all TF EMAs are requested explicitly. • This is a map, not a crystal ball: combine with your playbook (structure breaks, FVGs, liquidity, volume).
Pine Script®指標
由cjkootch提供
2
ATR: Body % + Ranges and AnomaliesATR: Body % + Ranges and Anomalies This indicator provides a dual analysis of price bars to help you better understand market dynamics and volatility. It combines two powerful concepts into one tool: a candle body percentage and a range analysis with an anomaly-excluding average. Key Features: 1. Candle Body Percentage This feature plots the size of the candle's body as a percentage of its total high-low range. A high percentage (e.g., above the 50% gray line) indicates strong, directional movement. The more solid the body is relative to its wicks, the more conviction is behind that move. The 100% red line marks "Marubozu" candles—bars with no wicks, showing absolute control by buyers or sellers. 2. Range Analysis with Anomalies This is a unique part of the indicator that helps you identify and understand normal vs. abnormal volatility. Custom SMA: It calculates an average range of the last N bars, but it smartly excludes "anomalous" bars (spikes or unusually small ranges) from the calculation. This gives you a more reliable baseline for normal volatility. Anomaly Detection: Bars are colored differently based on their range: Blue: Small anomalies (range less than 0.5 * ATR). These often occur during periods of low liquidity or indecision. Red: Large anomalies (range greater than 1.8 * ATR). These can signal a sudden burst of volatility, breakout events, or capitulation. ATR Range % Label: The label on the chart shows the current bar's range as a percentage of the custom SMA. This tells you how much larger or smaller the current bar's range is compared to a clean average. How to Use: Spotting Trends: Use the Body % to confirm the strength of a trend. A series of bars with high body percentages can indicate a strong, healthy trend. Identifying Volatility: Use the Range Analysis to find areas of interest. A large red anomaly bar could signal a significant event, while a series of blue anomalies might suggest the market is in a tight consolidation before a breakout. Contextual Analysis: The combination of these tools can provide powerful context. For example, a bar with a high Body % and a red anomaly color suggests a strong, volatile move that could be a turning point or the start of a major trend. Experiment with the input settings to fine-tune the ATR and SMA periods for different timeframes and assets.
Pine Script®指標
由ochenmac提供
1