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JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features: 1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled. 2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well. 3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum. Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered. The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend. In stable upward trends, we increase our market exposure and risk. In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns. This simple rule gives us a significant advantage over most undisciplined traders and amateurs!   'The Trend is your Friend'. This is a very old but true quote. What's behind it??? • 98% of stocks made their biggest gains in a Phase 2 upward trend. • If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably. • By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased. • In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points. The goal is not to buy at the lowest price – the goal is to buy at the right price! Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4   Stage 1 – Neglect Phase – Consolidation Stage 2 – Progressive Phase – Accumulation Stage 3 – Topping Phase – Distribution Stage 4 – Downtrend – Capitulation This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders. By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends. But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend? Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible. The Trend Template • 200d MA increasing over a period of at least 1 month, better 4-5 months or longer • 150d MA above 200d MA • 50d MA above 150d MA and 200d MA • Course above 50d MA, 150d MA and 200d MA • Ideally, the 50d MA is increasing over at least 1 month • Price at least 25% above the 52w low • Price within 25% of 52w high • High relative strength according to IBD. NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled. This strategy can be applied to all timeframes from 5 min to daily. The VWAP Momentum-Pullback Strateg y For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy. A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI). When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy. Stop-loss limits and profit targets can be set variably. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods. The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely. For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon. The MA / VWAP Crossover Trading Strategy This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market. The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position. Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades. This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed. Backtesting Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used. Settings for backtesting are: - Period from April 2020 until April 2021 (1 yr) - Starting capital 100k USD - Position size = 25% of equity - 0.01% commission = USD 2.50.- per Trade - Slippage = 2 ticks Other comments • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
กลยุทธ์ Pine Script®
โดย JS_TechTrading
3
Expected Move PlotterI get a lot of requests about my indicators that I use. Unfortunately, at this time I cannot make those public but I thought about creating a makeshift alternative people could use as a reference. I came up with this very simple yet extremely effective indicator. I call it the average or expected move plotter, but its essentially the average move plotter. All it does is it averages out the move from open to high and low on a monthly, weekly and daily basis over the past 5 days and plots the expected move. It really is that simple! I have broken it down by month, week and day, so you can see the average expected move on whichever time frame you prefer. I will use TSLA as the example. Here is the daily: Here is the weekly: And here is the monthly: You can switch between whichever timeframe you are working on and it permits all traders (day traders and swing traders) to assist in setting realistic target prices within their desired time frame. It works on any stock, index, commodity or future. I have also ensured that it will work with Heikin Ashi candles, for those (like myself) who are fond of those candles. Let me know if you have any questions and if you like it! Take care everyone and trade safe!
อินดิเคเตอร์ Pine Script®
โดย Steversteves
5
MTF Pivots Zones [tanayroy]Dear Fellow Traders, I only publish scripts that I use and found good for my trading. Pivots are my favorite indicator. I use daily, weekly, monthly, quarterly, and yearly pivots levels. multiple pivot zones are very strong levels and I like to watch these levels for possible price action. But when I include all pivots levels at a time, my charts get too clumsy. To see price action properly, you need a clean chart. And when we trade we want to see only important levels within the price horizon. To resolve this, I created this script, which shows important levels within my display option. I control the display option with 14 periods ATR and a multiplier to adjust the display levels. The following chart displays levels within 14 ATR * 0.5 multipliers. As the price progress, it will automatically add levels and delete levels that do not come within this option. What levels are included? I have used traditional pivot calculation and included Daily, Weekly, Monthly, Quarterly, and Yearly pivots with high and low. What options are available? You can replace the yearly timeframe with your desired time frame and can adjust the ATR multiplier to increase or decrease display levels. Use this in 5m, 15m, or 1H chart or any timeframe below Daily. Please like, share, and comment.
อินดิเคเตอร์ Pine Script®
โดย tanayroy
9
[KL] Double Bollinger Bands Strategy (for Crypto/FOREX)This strategy uses a setup consisting of two Bollinger Bands based on the 20 period 20-SMA +/- (a) upper/lower bands of two standard deviations apart, and (b) upper/lower bands of one standard deviation apart. We consider price at +/- one standard deviation apart from 20-SMA as the "Neutral Zone". If price closes above Neutral Zone after a period of consolidation, then it's an opportunity for entry. Strategy will long, anticipating for breakout. The illustration below shows price closing above the Neutral Zone after a period of consolidation. a.c-dn.net Position is exited when prices closes at Neutral Zone (being lower than prior bars)
กลยุทธ์ Pine Script®
โดย DojiEmoji
Multi-timeframe Dashboard for RSI And Stochastic RSI Dashboard to check multi-timeframe RSI and Stochastic RSI on 4h, 8h, 12h, D and W Great side tool to assist on the best time to buy and sell and asset. Shows a green arrow on a good buy moment, and a red when to sell, for all timeframes. In case there are confluence on more than one, you have the info that you need. Uses a formula with a weight of 5 for RSI and 2 for Stochastic RSI, resulting on a factor used to set up a color for each of the timeframes. Legend per each timeframe: - Blue: Excellent buy, RSI and Stoch RSI are low - Green: Great buy, RSI and Stoch RSI with a quite positive entry point - White: Good buy - Yellow: A possible sell, depending on combination of timeframes. Not recommended for a buy - Orange: Good sell, depending on combination of timeframes - Red: If on more than one timeframe, especially higher ones, it is a good time to sell For reference (But do your own research): - Blue on Weekly: Might represent several weeks of growth. Lower timeframes will cycle from blue to red, while daily and Weekly gradually change - Blue on Daily: Might represent 7-15 days of growth, depending on general resistance and how strongly is the weekly PS: Check the RSI, Stochastic RSI and other indicators directly as well
อินดิเคเตอร์ Pine Script®
โดย Ferafer
2
Volume-Supported Linear Regression TrendHello Traders, Linear Regression gives us some abilities to calculate the trend and if we combine it with volume then we may get very good results. Because if there is no volume support at up/downtrends then the trend may have a reversal soon. we also need to check the trend in different periods. With all this info, I developed Volume-Supported Linear Regression Trend script. The script checks linear regression of price and volume and then calculates trend direction and strength. You have option to set Source, Short-Term Period and Long-Term Period. you can set them as you wish. By default: Close is used as "Source" Short-Term Period is 20 Long-Term Period is 50 in following screenshot I tried to explain short term trend (for uptrend). Volume supports the trend? any volume pressure on trend? possible reversal? same idea while there is downtrend. in following screenshot I tried to explain long term trend: You can also check Positive/Negative Divergences to figure out possible reversals (to automate it, you can use Divergence for Many Indicators v4 , it has ability to check divergences on external indicators) Enjoy!
อินดิเคเตอร์ Pine Script®
โดย LonesomeTheBlue
118
RSI Multi Time FrameHello Traders, Recently we got new features in Pine such Arrays of Lines, Labels and Strings. Thanks to the Pine Team! ( here ) So I decided to make new style of Multi Time Frame indicator and I used Array of Lines in this script. here it is, RSI Multi Time Frame script. it shows RSI for current time frame as it is and also it gets RSI for the Higher Time Frame and converts it and shows it as in time frame. as you can see, RSI for HTF moves to the right on each candle until higher time frame was completed. You have color and line width options for both RSI, also if you want you can limit the number of bars to show higher time frame RSI by the option " Number of Bars for RSI HTF ", following example show RSI HTF for 100 bars. Most of you know that old style Multi Time Frames indicators was like: Hope you like this new Multi time frame style ;) Enjoy!
อินดิเคเตอร์ Pine Script®
โดย LonesomeTheBlue
36
BBofVWAP with entry at Pivot PointThis strategy uses BB of VWAP and Pivot point to enter and exit the Long position. settings BB length 50 BB Source VWAP Entry When VWAP crossing up BB midline and price/close is above weekly PivotPoint ( you can also use Daily pivot point ) Exit When VWAP is crossing down BB lower band Stop Loss Stop loss defaulted to 5% Note : Long will position will be exited on either VWAP crossing down BB lower band or stop loss is hit - whichever comes first . Being said that some time your stop loss exit is less than 5% which saves from more losses. Entry is based on weekly Pivot point , so any time frame below weekly will work perfect. I have tested t on 30 min , 1 HR , 4 Hr , Daily charts. Even weekly setting shows good results , that will work for long term investing style. if you change Pivot period to Daily , chose time frames below Daily. I also noticed this strategy mostly do not enter Long position in a down trend. Even it finds one , it will be exited with minimal loss. Warning For the use of educational purposes only
กลยุทธ์ Pine Script®
โดย ediks123
3
Market ProfileHello All, This is Market Profile script. "Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical axis against time on the horizontal, and the ensuing graphic generally is a bell shape--fatter at the middle prices, with activity trailing off and volume diminished at the extreme higher and lower prices." You better search it on the net for more information, you can find a lot of articles and books about the Market Profile. You have option to see Value Area, All Channels or only POC line, you can set the colors as you wish. Also you can choose the Higher Time Frame from the list or the script can choose the HTF for you automatically. Enjoy!
อินดิเคเตอร์ Pine Script®
โดย LonesomeTheBlue
124
Pivot Fibonacci TradingWe use fibonacci in many things, why not the Pivot? Hey, it does works, price does reacts to the fibonacci off the pivot. Pivots are road map for the price, fibonacci are just some stops or gas stations appear on the road, with these additional lines, there's more time for price to think about which way it'd move, therefore, more time for us traders to track and follow. I know they usually use Daily pivot in H1, Weekly in H4 and Monthly in Daily timeframe, but since there are more lines now, price now needs space to travel between line. I recommend using Weekly Pivot for intraday(H1,...), Monthly for H4 and Yearly for Daily. I also add some text that shows current day's range in pips (High - Low = range) and compare it to Average Daily Range. I thinks this is helpful if you use it for day trading. I'll let this as a open sources as you may find something to customize in your own way. Hope this helps you in someway, community :) Happy trading! #Thanks to @Davit on forexfactory for the idea
อินดิเคเตอร์ Pine Script®
โดย minhdang3264
12
Realized VolatilityRealized / Historical Volatility Calculates historical, i.e. realized volatility of any underlying. If frequency is not the daily, but for example 6h, 30min, weeks or months, it scales the initial setting to be suitable for the different time frame. Examples with default settings (30 day volatility, 365 days per year): A) Frequency = Daily: Returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. B) Frequency = 6h: Still returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. However, since 6h granularity fits 4 times in 24 hours, it rescales the look back period to rather 30*4 = 120 units to still reflect 30 day historical volatility.
อินดิเคเตอร์ Pine Script®
โดย JSterz
10/20 MA Cross-Over with Heikin-Ashi Signals by SchobbejakThe 10/20 MA Heikin-Ashi Strategy is the best I know. It's easy, it's elegant, it's effective. It's particularly effective in markets that trend on the daily. You may lose some money when markets are choppy, but your loss will be more than compensated when you're aboard during the big moves at the beginning of a trend or after retraces. There's that, and you nearly eliminate the risk of losing your profit in the long run. The results are good throughout most assets, and at their best when an asset is making new all-time highs. It uses two simple moving averages: the 10 MA (blue), and the 20 MA (red), together with heikin-ashi candles. Now here's the great thing. This script does not change your regular candles into heikin-ashi ones, which would have been annoying; instead, it subtly prints either a blue dot or a red square around your normal candles, indicating a heikin-ashi change from red to green, or from green to red, respectively. This way, you get both regular and heikin ashi "candles" on your chart. Here's how to use it. Go LONG in case of ALL of the below: 1) A blue dot appeared under the last daily candle (meaning the heikin-ashi is now "green"). 2) The blue MA-line is above the red MA-line. 3) Price has recently breached the blue MA-line upwards, and is now above. COVER when one or more of the above is no longer the case. This is very important. You want to keep your profit. Go SHORT in case of ALL of the below: 1) A red square appeared above the last daily candle (meaning the heikin-ashi is now "red"). 2) The red MA-line is above the blue MA-line. 3) Price has recently breached the blue MA-line downwards, and is now below. Again, COVER when one or more of the above is no longer the case. This is what gives you your edge. It's that easy. Now, why did I make the signal blue, and not green? Because blue looks much better with red than green does. It's my firm believe one does not become rich using ugly charts. Good luck trading. --You may tip me using bitcoin: bc1q9pc95v4kxh6rdxl737jg0j02dcxu23n5z78hq9 . Much appreciated!--
อินดิเคเตอร์ Pine Script®
โดย ScipioPro
41
Volume Based Ranges (VBR) [SS]Here is the Volume Based Ranges or VBR indicator. How it works The indicator works by: Sorting volume into buying and selling volume, then Calculating 2 independent Z-Scores for buying and selling data, then Identifying the high buying and selling nodes through the use of the Z-score threshold. Tracks the average target/move based on buying and selling nodes over a designated lookforward horizon (i.e. if you want to see the average move a high selling node happens over 20 candles, you can modify the lookforward horizon to 20). Calculates the composition from each volume node, displaying the composition information on each line (the % of buying and selling each node contains). How to Use it To use this indicator: Select the Z-Score length of assessment: By default, z-score is 75 and this is usually fine to leave. Identify the threshold trigger: This will need to be adjusted based on your timeframe. If you are using 1 minute, the data is noiser and you want more profound signals. Thresholds generally in this range should be between 5 - 7. For larger timeframes, you want to relax this threshold, to about 2 to 3. You can toggle in increments of 0.5 to find what works the best. Generally you want to see very rigorous volume node signals instead of tons of them. Determine what you want to see: You can turn of the support and resistance lines and just have the node identification signals and the return boxes. Or, you can just have the support and resistance lines and turn off the return boxes. You can customize the information the indicator displays in the settings menu to suit what you are most interested in. Let's look at some examples ' DIS on the hourly. We can see that the average up move from the high buying nodes has a target of 115.42, and in between there we can see the high selling and buying nodes and their compositions. High buying (100% of the high buying volume) is around the 112.61. This means, you would expect this to be an area of retracement. We can also see that high selling is just below that at 111.66, which can be a resistance area. Here is a closer look at the levels specifically: EPAM on the daily: You can see a successful retrace back to a high volume node. Concluding remarks That's the indicator! Its one that is best to get a feel for, play around and decide on the settings you like for your individual ticker. I have included tooltip descriptions for the settings within the indicator as well. I hope you enjoy it and find it helpful! Thanks for reading/checking it out and as always, safe trades!
อินดิเคเตอร์ Pine Script®
โดย Steversteves
4
Ben's BTC Macro Fair Value OscillatorBen's BTC Macro Fair Value Oscillator Overview The **BTC Macro Fair Value Oscillator** is a non-crypto fair value framework that uses macro asset relationships (equities, dollar, gold) to estimate Bitcoin's "macro-driven fair value" and identify mean-reversion opportunities. "Is BTC cheap or expensive right now?" on the 4 Hour Timeframe ONLY ### Key Features ✅ **Macro-driven**: Uses QQQ, DXY, XAUUSD instead of on-chain or crypto metrics ✅ **Dynamic weighting**: Assets weighted by rolling correlation strength ✅ **Mean-reversion signals**: Identifies when BTC is cheap/expensive vs macro ✅ **Validated parameters**: Optimized through 5-year backtest (Sharpe 6.7-9.9) ✅ **Visual transparency**: Live correlation panel, fair value bands, statistics ✅ **Non-repainting**: All calculations use confirmed historical data only ### What This Indicator Does - Builds a **synthetic macro composite** from traditional assets - Runs a **rolling regression** to predict BTC price from macro - Calculates **deviation z-score** (how far BTC is from macro fair value) - Generates **entry signals** when BTC is extremely cheap vs macro (dev < -2) - Generates **exit signals** when BTC returns to fair value (dev > 0) ### What This Indicator Is NOT ❌ Not a high-frequency trading system (sparse signals by design) ❌ Not optimized for absolute returns (optimized for Sharpe ratio) ❌ Not suitable as standalone trading system (best as overlay/confirmation) ❌ Not predictive of short-term price movements (mean-reversion timeframe: days to weeks) --- ## Core Concept ### The Premise Bitcoin doesn't trade in a vacuum. It's influenced by: - **Risk appetite** (equities: QQQ, SPX) - **Dollar strength** (DXY - inverse to risk assets) - **Safe haven flows** (Gold: XAUUSD) When macro conditions are "good for BTC" (risk-on, weak dollar, strong equities), BTC should trade higher. When macro conditions turn against it, BTC should trade lower. ### The Innovation Instead of looking at BTC in isolation, this indicator: 1. **Measures how strongly** BTC currently correlates with each macro asset 2. **Builds a weighted composite** of those macro returns (the "D" driver) 3. **Regresses BTC price on D** to estimate "macro fair value" 4. **Tracks the deviation** between actual price and fair value 5. **Signals mean reversion** when deviation becomes extreme ### The Edge The validated edge comes from: - **Extreme deviations predict future returns** (dev < -2 → +1.67% over 12 bars) - **Monotonic relationship** (more negative dev → higher forward returns) - **Works out-of-sample** (test Sharpe +83-87% better than training) - **Low correlation with buy & hold** (provides diversification value) --- ## Methodology ### Step 1: Macro Composite Driver D(t) The indicator builds a weighted composite of macro asset returns: **Process:** 1. Calculate **log returns** for BTC and each macro reference (QQQ, DXY, XAUUSD) 2. Compute **rolling correlation** between BTC and each reference over `corrLen` bars 3. **Weight each asset** by `|correlation|` if above `minCorrAbs` threshold, else 0 4. **Sign-adjust** weights (+1 for positive corr, -1 for negative) to handle inverse relationships 5. **Z-score normalize** each reference's returns over `fvWindow` 6. **Composite D(t)** = weighted sum of sign-adjusted z-scores **Formula:** ``` For each reference i: corr_i = correlation(BTC_returns, ref_i_returns, corrLen) weight_i = |corr_i| if |corr_i| >= minCorrAbs else 0 sign_i = +1 if corr_i >= 0 else -1 z_i = (ref_i_returns - mean) / std contrib_i = sign_i * z_i * weight_i D(t) = sum(contrib_i) / sum(weight_i) ``` **Key Insight:** D(t) represents "how good macro conditions are for BTC right now" in a normalized, correlation-weighted way. --- ### Step 2: Fair Value Regression Uses rolling linear regression to predict BTC price from D(t): **Model:** ``` BTC_price(t) = α + β * D(t) ``` **Calculation (Pine Script approach):** ``` corr_CD = correlation(BTC_price, D, fvWindow) sd_price = stdev(BTC_price, fvWindow) sd_D = stdev(D, fvWindow) cov = corr_CD * sd_price * sd_D var_D = variance(D, fvWindow) β = cov / var_D α = mean(BTC_price) - β * mean(D) fair_value(t) = α + β * D(t) ``` **Result:** A time-varying "macro fair value" line that adapts as correlations change. --- ### Step 3: Deviation Oscillator Measures how far BTC price has deviated from fair value: **Calculation:** ``` residual(t) = BTC_price(t) - fair_value(t) residual_std = stdev(residual, normWindow) deviation(t) = residual(t) / residual_std ``` **Interpretation:** - `dev = 0` → BTC at fair value - `dev = -2` → BTC is 2 standard deviations **cheap** vs macro - `dev = +2` → BTC is 2 standard deviations **rich** vs macro --- ### Step 4: Signal Generation **Long Entry:** `dev` crosses below `-2.0` (BTC extremely cheap vs macro) **Long Exit:** `dev` crosses above `0.0` (BTC returns to fair value) **No shorting** in default config (risk management choice - crypto volatility) --- ## How It Works ### Visual Components #### 1. Price Chart (Main Panel) **Fair Value Line (Orange):** - The estimated "macro-driven fair value" for BTC - Calculated from rolling regression on macro composite **Fair Value Bands:** - **±1σ** (light): 68% confidence zone - **±2σ** (medium): 95% confidence zone - **±3σ** (dark, dots): 99.7% confidence zone **Entry/Exit Markers:** - **Green "LONG" label** below bar: Entry signal (dev < -2) - **Red "EXIT" label** above bar: Exit signal (dev > 0) #### 2. Deviation Oscillator (Separate Pane) **Line plot:** - Shows current deviation z-score - **Green** when dev < -2 (cheap) - **Red** when dev > +2 (rich) - **Gray** when neutral **Histogram:** - Visual representation of deviation magnitude - Green bars = negative deviation (cheap) - Red bars = positive deviation (rich) **Threshold lines:** - **Green dashed at -2.0**: Entry threshold - **Red dashed at 0.0**: Exit threshold - **Gray solid at 0**: Fair value line #### 3. Correlation Panel (Top-Right) Shows live correlation and weighting for each macro asset: | Asset | Corr | Weight | |-------|------|--------| | QQQ | +0.45 | 0.45 | | DXY | -0.32 | 0.32 | | XAUUSD | +0.15 | 0.00 | | Avg \|Corr\| | 0.31 | 0.77 | **Reading:** - **Corr**: Current rolling correlation with BTC (-1 to +1) - **Weight**: How much this asset contributes to fair value (0 = excluded) - **Avg |Corr|**: Average correlation strength (should be > 0.2 for reliable signals) **Colors:** - Green/Red corr = positive/negative correlation - White weight = asset included, Gray = excluded (below minCorrAbs) #### 4. Statistics Label (Bottom-Right) ``` ━━━ BTC Macro FV ━━━ Dev: -2.34 Price: $103,192 FV: $110,500 Status: CHEAP ⬇ β: 103.52 ``` **Fields:** - **Dev**: Current deviation z-score - **Price**: Current BTC close price - **FV**: Current macro fair value estimate - **Status**: CHEAP (< -2), RICH (> +2), or FAIR - **β**: Current regression beta (sensitivity to macro) --- ## Installation & Setup ### TradingView Setup 1. Open TradingView and navigate to any **BTC chart** (BTCUSD, BTCUSDT, etc.) 2. Open **Pine Editor** (bottom panel) 3. Click **"+ New"** → **"Blank indicator"** 4. **Delete** all default code 5. **Copy** the entire Pine Script from `GHPT_optimized.pine` 6. **Paste** into the editor 7. Click **"Save"** and name it "BTC Macro Fair Value Oscillator" 8. Click **"Add to Chart"** ### Recommended Chart Settings **Timeframe:** 4h (validated timeframe) **Chart Type:** Candlestick or Heikin Ashi **Overlay:** Yes (indicator plots on price chart + separate pane) **Alternative Timeframes:** - Daily: Works but slower signals - 1h-2h: May work but not validated - < 1h: Not recommended (too noisy) ### Symbol Requirements **Primary:** BTC/USD or BTC/USDT on any exchange **Macro References:** Automatically fetched - QQQ (Nasdaq 100 ETF) - DXY (US Dollar Index) - XAUUSD (Gold spot) **Data Requirements:** - At least **90 bars** of history (warmup period) - Premium TradingView recommended for full historical data --- ## Reading the Indicator ### Identifying Signals #### Strong Long Signal (High Conviction) - ✅ Deviation < -2.0 (extreme undervaluation) - ✅ Avg |Corr| > 0.3 (strong macro relationships) - ✅ Price touching or below -2σ band - ✅ "LONG" label appears below bar **Interpretation:** BTC is extremely cheap relative to macro conditions. Historical data shows +1.67% average return over next 12 bars (48 hours at 4h timeframe). #### Moderate Long Signal (Lower Conviction) - ⚠️ Deviation between -1.5 and -2.0 - ⚠️ Avg |Corr| between 0.2-0.3 - ⚠️ Price approaching -2σ band **Interpretation:** BTC is cheap but not extreme. Consider as confirmation for other signals. #### Exit Signal - 🔴 Deviation crosses above 0 (returns to fair value) - 🔴 "EXIT" label appears above bar **Interpretation:** Mean reversion complete. Close long positions. #### Strong Short/Avoid Signal - 🔴 Deviation > +2.0 (extreme overvaluation) - 🔴 Avg |Corr| > 0.3 - 🔴 Price touching or above +2σ band **Interpretation:** BTC is expensive vs macro. Historical data shows -1.79% average return over next 12 bars. Consider exiting longs or reducing exposure. ### Regime Detection **Strong Regime (Reliable Signals):** - Avg |Corr| > 0.3 - Multiple assets weighted > 0 - Fair value line tracking price reasonably well **Weak Regime (Unreliable Signals):** - Avg |Corr| < 0.2 - Most weights = 0 (grayed out) - Fair value line diverging wildly from price - **Action:** Ignore signals until correlations strengthen
อินดิเคเตอร์ Pine Script®
โดย popularGnuofls7
SMT + CVD (NQ vs ES) w/ AlertsSMT + CVD (NQ vs ES) w/ Alerts This tool combines Smart Money Technique (SMT) and Cumulative Volume Delta (CVD) to highlight high-probability inflection points on NQ (primary) versus ES (secondary). How it works SMT condition: the primary breaks its most recent swing (High for bearish / Low for bullish) while the secondary does not break the corresponding swing within a small retest window. CVD confirmation: at the same time, the primary’s CVD shows divergence (higher price but lower/equal CVD for shorts, lower price but higher/equal CVD for longs). When both align, the script plots a marker/label and draws a line from the primary swing to the signal bar. Alerts are fired. Signals & Alerts Labels: “SMT+CVD DOWN/UP” on the signal bar. Lines: connects the primary swing → signal bar so you can see the structure that produced the signal. Alert names: “SMT+CVD Bearish” and “SMT+CVD Bullish.” Inputs Primary / Secondary symbols: defaults NQ & ES (you can change them). Resolution: use chart timeframe or specify one. Swing Left/Right Bars: pivot detection depth (higher = larger swings). Break Window Bars: how many bars the secondary has to not break for SMT to be valid. CVD Up/Down By: Close vs Previous Close (default) or Close vs Open. Anchor CVD Daily: resets CVD at session/day start. CVD Smoothing (EMA): smooths the CVD line (optional show). FAST Pivots (no future bars): left-only swing detection so signals appear sooner and behave well in Replay/live. Require Secondary Pivot: if ON, SMT checks wait for a confirmed secondary swing; if OFF, signals can appear while the secondary swing is still forming (useful for Replay/testing). Show CVD line: optional, may compress price scale. Non-repaint notes With FAST Pivots ON, swings are detected with no future bars (minimal latency = leftBars). With FAST Pivots OFF, standard pivots require rightBars future bars to confirm the swing (classic, but naturally delayed). Tips For intraday futures, keep leftBars/rightBars small (e.g., 3/3) and Break Window 1–3. In Replay, enable FAST Pivots and consider disabling Require Secondary Pivot if you want signals to appear as soon as the primary breaks. Combine with session filters, execution rules, or liquidity zones for context.
อินดิเคเตอร์ Pine Script®
โดย anthony32773
RightFlow Universal Volume Profile - Any Market Any TimeframeSummary in one paragraph RightFlow is a right anchored microstructure volume profile for stocks, futures, FX, and liquid crypto on intraday and daily timeframes. It acts only when several conditions align inside a session window and presents the result as a compact right side profile with value area, POC, a bull bear mix by price bin, and a HUD of profile VWAP and pressure shares. It is original because it distributes each bar’s weight into multiple mid price slices, blends bull bear pressure per bin with a CLV based split, and grows the profile to the right so price action stays readable. Add to a clean chart, read the table, and use the visuals. For conservative workflows read on bar close. Scope and intent • Markets. Major FX pairs, index futures, large cap equities and ETFs, liquid crypto. • Timeframes. One minute to daily. • Default demo used in the publication. SPY on 15 minute. • Purpose. See where participation concentrates, which side dominated by price level, and how far price sits from VA and POC. Originality and usefulness • Unique fusion. Right anchored growth plus per bar slicing and CLV split, with weight modes Raw, Notional, and DeltaProxy. • Failure mode addressed. False reads from single bar direction and coarse binning. • Testability. All parts sit in Inputs and the HUD. • Portable yardstick. Value Area percent and POC are universal across symbols. • Protected scripts. Not applicable. Method and use are fully disclosed. Method overview in plain language Pick a scope Rolling or Today or This Week. Define a window and number of price bins. For each bar, split its range into small slices, assign each slice a weight from the selected mode, and split that weight by CLV or by bar direction. Accumulate totals per bin. Find the bin with the highest total as POC. Expand left and right until the chosen share of total volume is covered to form the value area. Compute profile VWAP for all, buyers, and sellers and show them with pressure shares. Base measures Range basis. High minus low and mid price samples across the bar window. Return basis. Not used. VWAP trio is price weighted by weights. Components • RightFlow Bins. Price histogram that grows to the right. • Bull Bear Split. CLV based 0 to 1 share or pure bar direction. • Weight Mode. Raw volume, notional volume times close, or DeltaProxy focus. • Value Area Engine. POC then outward expansion to target share. • HUD. Profile VWAP, Buy and Sell percent, winner delta, split and weight mode. • Session windows optional. Scope resets on day or week. Fusion rule Color of each bin is the convex blend of bull and bear shares. Value area shading is lighter inside and darker outside. Signal rule This is context, not a trade signal. A strong separation between buy and sell percent with price holding inside VA often confirms balance. Price outside VA with skewed pressure often marks initiative moves. What you will see on the chart • Right side bins with blended colors. • A POC line across the profile width. • Labels for POC, VAH, and VAL. • A compact HUD table in the top right. Table fields and quick reading guide • VWAP. Profile VWAP. • Buy and Sell. Pressure shares in percent. • Delta Winner. Winner side and margin in percent. • Split and Weight. The active modes. Reading tip. When Session scope is Today or This Week and Buy minus Sell is clearly positive or negative, that side often controls the day’s narrative. Inputs with guidance Setup • Profile scope. Rolling or session reset. Rolling uses window bars. • Rolling window bars. Typical 100 to 300. Larger is smoother. Binning • Price bins. Typical 32 to 128. More bins increase detail. • Slices per bar. Typical 3 to 7. Raising it smooths distribution. Weighting • Weight mode. Raw, Notional, DeltaProxy. Notional emphasizes expensive prints. • Bull Bear split. CLV or BarDir. CLV is more nuanced. • Value Area percent. Typical 68 to 75. View • Profile width in bars, color split toggle, value area shading, opacities, POC line, VA labels. Usage recipes Intraday trend focus • Scope Today, bins 64, slices 5, Value Area 70. • Split CLV, Weight Notional. Intraday mean reversion • Scope Today, bins 96, Value Area 75. • Watch fades back to POC after initiative pushes. Swing continuation • Scope Rolling 200 bars, bins 48. • Use Buy Sell skew with price relative to VA. Realism and responsible publication No performance claims. Shapes can move while a bar forms and settle on close. Education only. Honest limitations and failure modes Thin liquidity and data gaps can distort bin weights. Very quiet regimes reduce contrast. Session time is the chart venue time. Open source reuse and credits None. Legal Education and research only. Not investment advice. Test on history and simulation before live use.
อินดิเคเตอร์ Pine Script®
โดย exlux
FluxVector Liquidity Universal Trendline FluxVector Liquidity Trendline FFTL Summary in one paragraph FFTL is a single adaptive trendline for stocks ETFs FX crypto and indices on one minute to daily. It fires only when price action pressure and volatility curvature align. It is original because it fuses a directional liquidity pulse from candle geometry and normalized volume with realized volatility curvature and an impact efficiency term to modulate a Kalman like state without ATR VWAP or moving averages. Add it to a clean chart and use the colored line plus alerts. Shapes can move while a bar is open and settle on close. For conservative alerts select on bar close. Scope and intent • Markets. Major FX pairs index futures large cap equities liquid crypto top ETFs • Timeframes. One minute to daily • Default demo used in the publication. SPY on 30min • Purpose. Reduce false flips and chop by gating the line reaction to noise and by using a one bar projection • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. Directional Liquidity Pulse plus Volatility Curvature plus Impact Efficiency drives an adaptive gain for a one dimensional state • Failure mode addressed. One or two shock candles that break ordinary trendlines and saw chop in flat regimes • Testability. All windows and gains are inputs • Portable yardstick. Returns use natural log units and range is bar high minus low • Protected scripts. Not used. Method disclosed plainly here Method overview in plain language Base measures • Return basis. Natural log of close over prior close. Average absolute return over a window is a unit of motion Components • Directional Liquidity Pulse DLP. Measures signed participation from body and wick imbalance scaled by normalized volume and variance stabilized • Volatility Curvature. Second difference of realized volatility from returns highlights expansion or compression • Impact Efficiency. Price change per unit range and volume boosts gain during efficient moves • Energy score. Z scores of the above form a single energy that controls the state gain • One bar projection. Current slope extended by one bar for anticipatory checks Fusion rule Weighted sum inside the energy score then logistic mapping to a gain between k min and k max. The state updates toward price plus a small flow push. Signal rule • Long suggestion and order when close is below trend and the one bar projection is above the trend • Short suggestion and flip when close is above trend and the one bar projection is below the trend • WAIT is implicit when neither condition holds • In position states end on the opposite condition What you will see on the chart • Colored trendline teal for rising red for falling gray for flat • Optional projection line one bar ahead • Optional background can be enabled in code • Alerts on price cross and on slope flips Inputs with guidance Setup • Price source. Close by default Logic • Flow window. Typical range 20 to 80. Higher smooths the pulse and reduces flips • Vol window. Typical range 30 to 120. Higher calms curvature • Energy window. Typical range 20 to 80. Higher slows regime changes • Min gain and Max gain. Raise max to react faster. Raise min to keep momentum in chop UI • Show 1 bar projection. Colors for up down flat Properties visible in this publication • Initial capital 25000 • Base currency USD • Commission percent 0.03 • Slippage 5 • Default order size method percent of equity value 3% • Pyramiding 0 • Process orders on close off • Calc on every tick off • Recalculate after order is filled off Realism and responsible publication • No performance claims • Intrabar reminder. Shapes can move while a bar forms and settle on close • Strategy uses standard candles only Honest limitations and failure modes • Sudden gaps and thin liquidity can still produce fast flips • Very quiet regimes reduce contrast. Use larger windows and lower max gain • Session time uses the exchange time of the chart if you enable any windows later • Past results never guarantee future outcomes Open source reuse and credits • None
กลยุทธ์ Pine Script®
โดย exlux
First X Days Of A YearFirst X-Day Indicator Overview The "First X-Day Indicator" is a powerful tool to visualize and analyze market sentiment during the crucial first trading days of each new year. It provides immediate visual feedback on whether the year is starting with positive or negative momentum compared to the previous year's close, a concept often related to market theories like the "January Effect" or the "First Five Days Rule." The indicator is designed to be clean, intuitive, and fully customizable to fit your charting style. Key Features Yearly Baseline: Automatically draws a horizontal line at the previous year's closing price. This line serves as a clear 0% reference for the current year's performance. Dynamic Background Coloring: For a user-defined number of days at the start of the year, the chart background is colored daily. Green indicates the close is above the previous year's close, while red indicates it's below. Final Performance Symbol: At the end of the analysis period (e.g., on the 5th day), a single summary symbol (like 👍 or 👎) appears. This symbol represents the final performance outcome of the initial trading period. Settings & Customization You have full control over all visual elements: Analysis Period: Define exactly how many days at the start of the year you want to analyze (e.g., 3, 5, or 10 days). Line Customization: Fully control the yearly baseline's appearance. You can change its color, width, and style (Solid, Dashed, or Dotted) or hide it completely. Symbol Customization: Choose any character or emoji for the positive and negative performance symbols. You can also adjust their size (Small, Normal, Large) or hide them. Background Control: Enable or disable the daily background coloring and select your preferred custom colors for positive and negative days.
อินดิเคเตอร์ Pine Script®
โดย michid2
1
Timeframe LiquidityTimeframe Liquidity – Multi-Timeframe Highs & Lows by Timeframe Liquidity automatically plots previous day, week, month, and year highs and lows, key liquidity zones used by smart money and price-action traders. These levels extend into the future and can automatically stop once price wicks through, showing clear liquidity sweeps and tested zones. Perfect for traders using ICT / SMC concepts, liquidity theory, or market structure analysis. Instantly see where liquidity rests, where it’s been taken, and how price reacts at major support and resistance. Features: Auto-plots PDH/PDL, PWH/PWL, PMH/PML, PYH/PYL Custom line styles, colors, and label sizes Option to stop line on wick (liquidity sweep) Smart timeframe visibility (hides same-TF levels) Accurate UTC offset handling Identify liquidity pools fast, trade cleaner charts, and track where smart money hunts liquidity. Built for precision, clarity, and confluence.
อินดิเคเตอร์ Pine Script®
โดย archiedurrant
Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)About This Script Name: Triple-EMA Cloud (3× configurable EMAs + timeframe + fill) What it does: The script plots three Exponential Moving Averages (EMAs) on your chart. You can set each EMA’s length (how many bars or days it averages over), source (for example, closing price, opening price, or the midpoint of high + low), and timeframe (you can have one EMA use daily data, another hourly data, etc.). The indicator draws a “cloud” or channel by shading the area between the outermost two EMAs of the three. This lets you see a band or zone that the price is moving in, defined by those EMAs. You also get full control over how each of the three EMA‐lines looks: color, thickness, transparency, and plot style (solid line, steps, circles, etc.). How to Use It (for Beginners) Here’s how a trader who’s new to charts can use this tool, especially when looking for pullbacks or undercut price action. Key Concepts Trend: Imagine the market price is generally going up or down. EMAs are a way to smooth out price movements so you can see the trend more clearly. Pullback: When a price has been going up (an uptrend), sometimes it dips down a little before going up again. That dip is the pullback. It’s a chance to enter or add to a position at a “better price.” Undercut: This is when price drops below an important level (for example an EMA) and then comes back up. It looks like it broke below, but then it recovers. That may show reverse pressure or strength building. How the Script Helps With Pullbacks & Undercuts Marking Trend Zones with the Cloud The cloud between the outer EMA lines gives you a zone of expected support/resistance. If the price is above the cloud, that zone can act like a “floor” in uptrends; if it is below, the cloud might act like a “ceiling” in downtrends. Watching Price vs the EMAs If the price pulls back toward the cloud (or toward one of the EMAs) and then bounces back up, that’s a signal that the uptrend might continue. If the price undercuts (goes a bit below) one of the EMAs or the cloud and then returns above it, that can also be a signal. It suggests that even though there was a temporary drop, buyers stepped in. Using the Three EMAs for Confirmation Because the script uses three EMAs, you can see how tightly or loosely they are spaced. If all three EMAs are broadly aligned (for example, in an uptrend: shorter length above longer length, each pulling from reliable price source), that gives more confidence in trend strength. If the middle EMA (or different source/timeframe) is holding up as support while others are above, it strengthens signal. Entry & Exit Points Entry: For example, after a pullback toward the cloud or “mid‐EMA”, wait for price to show a bounce up. That could be a better entry than buying at the top. Stop Loss / Risk: You might place a stop loss just below the cloud or the lowest of your selected EMAs so that if price breaks through, the idea is invalidated. Profit Target: Could be a recent high, resistance level, or a fixed reward-risk multiple (for example aiming to make twice what you risked). Practical Steps for New Traders Set up the EMAs Choose simple lengths like 10, 21, 50. For example, EMA #1 = length 10, source Close, timeframe “current chart”; EMA #2 = length 21, source (H+L)/2; EMA #3 = length 50, maybe timeframe daily. Observe the Price Action When price moves up, then dips, see if it comes back near the shaded cloud or one of the EMAs. See if the dip touches the EMAs lightly (not a big drop) and then price starts climbing again. Look for undercuts If price briefly goes below a line (or below cloud) and then closes back above, that’s undercut + recovery. That bounce back is often meaningful. Manage risk Only put in money you can afford to lose. Use small position size until you get comfortable. Use stop-loss (as mentioned) in case the price doesn’t bounce as expected. Practice Put this indicator on charts (stocks you follow) in past time periods. See how price behaved with pullbacks / undercuts relative to the EMAs & cloud. This helps you learn to see signals. What It Doesn’t Do (and What to Be Careful Of) It doesn’t predict the future — it simply shows zones and trends. Price can still break down through the cloud. In a “choppy” market (i.e. when price is going up and down without a clear trend), signals from EMAs / clouds are less reliable. You’ll get more “false bounces.” Under / overshoots & big news events can break through clean levels, so always watch for confirmation (volume, price behavior) before putting big money in.
อินดิเคเตอร์ Pine Script®
โดย Blk0ut