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OverUnder Yield Spread🗺️ OverUnder is a structural regime visualizer , engineered to diagnose the shape, tone, and trajectory of the yield curve. Rather than signaling trades directly, it informs traders of the world they’re operating in. Yield curve steepening or flattening, normalizing or inverting — each regime reflects a macro pressure zone that impacts duration demand, liquidity conditions, and systemic risk appetite. OverUnder abstracts that complexity into a color-coded compression map, helping traders orient themselves before making risk decisions. Whether you’re in bonds, currencies, crypto, or equities, the regime matters — and OverUnder makes it visible. 🧠 Core Logic Built to show the  slope and intent of a selected rate pair, the OverUnder Yield Spread defaults to 🇺🇸US10Y-US2Y, but can just as easily compare global sovereign curves or even dislocated monetary systems. This value is continuously monitored and passed through a debounce filter to determine whether the curve is: • Inverted, or • Steepening If the curve is flattening below zero: the world is bracing for contraction. Policy lags. Risk appetite deteriorates. Duration gets bid, but only as protection. Stocks and speculative assets suffer, regardless of positioning. 📍 Curve Regimes in Bull and Bear Contexts • Flattening occurs when the short and long ends compress . In a bull regime, flattening may reflect long-end demand or fading growth expectations. In a bear regime, flattening often precedes or confirms central bank tightening. • Steepening indicates expanding spread . In a bull context, this may signal healthy risk appetite or early expansion. In a bear or crisis context, it may reflect aggressive front-end cuts and dislocation between short- and long-term expectations. • If the curve is steepening above zero: the world is rotating into early expansion. Risk assets behave constructively. Bond traders position for normalization. Equities and crypto begin trending higher on rising forward expectations. 🖐️ Dynamically Colored Spread Line Reflects 1 of 4 Regime States • 🟢 Normal / Steepening — early expansion or reflation • 🔵 Normal / Flattening — late-cycle or neutral slowdown • 🟠 Inverted / Steepening — policy reversal or soft landing attempt • 🔴 Inverted / Flattening — hard contraction, credit stress, policy lag 🍋 The Lemon Label At every bar, an anchored label floats directly on the spread line. It displays the active regime (in plain English) and the precise spread in percent (or basis points, depending on resolution). Colored lemon yellow, neither green nor red, the label is always legible — a design choice to de-emphasize bias and center the data . 🎨 Fill Zones These bands offer spatial, persistent views of macro compression or inversion depth. • Blue fill appears above the zero line in normal (non-inverted) conditions • Red fill appears below the zero line during inversion 🧪 Sample Reading: 1W chart of TLT OverUnder reveals a multi-year arc of structural inversion and regime transition. From mid-2021 through late 2023, the spread remains decisively inverted, signaling persistent flattening and credit stress as bond prices trended sharply lower. This prolonged inversion aligns with a high-volatility phase in TLT, marked by lower highs and an accelerating downtrend, confirming policy lag and macro tightening conditions. As of early 2025, the spread has crossed back above the zero baseline into a “Normal / Steepening” regime (annotated at +0.56%), suggesting a macro inflection point. Price action remains subdued, but the shift in yield structure may foreshadow a change in trend context — particularly if follow-through in steepening persists. 🎭 Different Traders Respond Differently: • Bond traders monitor slope change to anticipate policy pivots or recession signals. • Equity traders use regime shifts to time rotations, from growth into defense, or from contraction into reflation. • Currency traders interpret curve steepening as yield compression or divergence depending on region. • Crypto traders treat inversion as a liquidity vacuum — and steepening as an early-phase risk unlock. 🛡️ Can It Compare Different Bond Markets? Yes — with caveats. The indicator can be used to compare distinct sovereign yield instruments, for example: • 🇫🇷FR10Y vs 🇩🇪DE10Y - France vs Germany • 🇯🇵JP10Y vs 🇺🇸US10Y - BoJ vs Fed policy curves However: 🙈 This no longer visualizes the domestic yield curve, but rather the  differential between rate expectations across regions 🙉 The interpretation of “inversion” changes — it reflects spread compression across nations , not within a domestic yield structure 🙊 Color regimes should then be viewed as  relative rate positioning , not absolute curve health 🙋🏻 Example: OverUnder compares French vs German 10Y yields 1. 🇫🇷 Change the long-duration ticker to FR10Y 2. 🇩🇪 Set the short-duration ticker to DE10Y 3. 🤔 Interpret the result as: “How much higher is France’s long-term borrowing cost vs Germany’s?” You’ll see steepening when the spread rises (France decoupling), flattening when the spread compresses (convergence), and inversions when Germany yields rise above France’s — historically rare and meaningful. 🧐 Suggested Use OverUnder is not a signal engine — it’s a context map. Its value comes from situating any trade idea within the prevailing yield regime. Use it before entries, not after them. • On the 1W timeframe, OverUnder excels as a macro overlay. Yield regime shifts unfold over quarters, not days. Weekly structure smooths out rate volatility and reveals the true curvature of policy response and liquidity pressure. Use this view to orient your portfolio, define directional bias, or confirm long-duration trend turns in assets like TLT, SPX, or BTC. • On the 1D timeframe, the indicator becomes tactically useful — especially when aligning breakout setups or trend continuations with steepening or flattening transitions. Daily views can also identify early-stage regime cracks that may not yet be visible on the weekly. • Avoid sub-daily use unless you’re anchoring a thesis already built on higher timeframe structure. The yield curve is a macro construct — it doesn’t oscillate cleanly at intraday speeds. Shorter views may offer clarity during event-driven spikes (like FOMC reactions), but they do not replace weekly context. Ultimately, OverUnder helps you decide: What kind of world am I trading in? Use it to confirm macro context, avoid fighting the curve, and lean into trades aligned with the broader pressure regime.
Pine Script®指標
由TheLeadingIndicator提供
VIX Implied MovesKey Features: Three Timeframe Bands: Daily: Blue bands showing ±1σ expected move Weekly: Green bands showing ±1σ expected move 30-Day: Red bands showing ±1σ expected move Calculation Methodology: Uses VIX's annualized volatility converted to specific timeframes using square root of time rule Trading day convention (252 days/year) Band width = Price × (VIX/100) ÷ √(number of periods) Visual Features: Colored semi-transparent backgrounds between bands Progressive line thickness (thinner for shorter timeframes) Real-time updates as VIX and ES prices change Example Calculation (VIX=20, ES=5000): Daily move = 5000 × (20/100)/√252 ≈ ±63 points Weekly move = 5000 × (20/100)/√50 ≈ ±141 points Monthly move = 5000 × (20/100)/√21 ≈ ±218 points This indicator helps visualize expected price ranges based on current volatility conditions, with wider bands indicating higher market uncertainty. The probabilistic ranges represent 68% confidence levels (1 standard deviation) derived from options pricing.
Pine Script®指標
由Marruq提供
FlexATRFlexATR: A Dynamic Multi-Timeframe Trading Strategy Overview: FlexATR is a versatile trading strategy that dynamically adapts its key parameters based on the timeframe being used. It combines technical signals from exponential moving averages (EMAs) and the Relative Strength Index (RSI) with volatility-based risk management via the Average True Range (ATR). This approach helps filter out false signals while adjusting to varying market conditions — whether you’re trading on a daily chart, intraday charts (30m, 60m, or 5m), or even on higher timeframes like the 4-hour or weekly charts. How It Works: Multi-Timeframe Parameter Adaptation: FlexATR is designed to automatically adjust its indicator settings depending on the timeframe: Daily and Weekly: On higher timeframes, the strategy uses longer periods for the fast and slow EMAs and standard periods for RSI and ATR to capture more meaningful trend confirmations while minimizing noise. Intraday (e.g., 30m, 60m, 5m, 4h): The parameters are converted from “days” into the corresponding number of bars. For instance, on a 30-minute chart, a “day” might equal 48 bars. The preset values for a 30-minute chart have been slightly reduced (e.g., a fast EMA is set at 0.35 days instead of 0.4) to improve reactivity while maintaining robust filtering. Signal Generation: Entry Signals: The strategy enters long positions when the fast EMA crosses above the slow EMA and the RSI is above 50, and it enters short positions when the fast EMA crosses below the slow EMA with the RSI below 50. This dual confirmation helps ensure that signals are reliable. Risk Management: The ATR is used to compute dynamic levels for stop loss and profit target: Stop Loss: For a long position, the stop loss is placed at Price - (ATR × Stop Loss Multiplier). For a short position, it is at Price + (ATR × Stop Loss Multiplier). Profit Target: The profit target is similarly set using the ATR multiplied by a designated profit multiplier. Dynamic Trailing Stop: FlexATR further incorporates a dynamic trailing stop (if enabled) that adjusts according to the ATR. This trailing stop follows favorable price movements at a distance defined by a multiplier, locking in gains as the trend develops. The use of a trailing stop helps protect profits without requiring a fixed exit point. Capital Allocation: Each trade is sized at 10% of the total equity. This percentage-based position sizing allows the strategy to scale with your account size. While the current setup assumes no leverage (a 1:1 exposure), the inherent design of the strategy means you can adjust the leverage externally if desired, with risk metrics scaling accordingly. Visual Representation: For clarity and accessibility (especially for those with color vision deficiencies), FlexATR employs a color-blind friendly palette (the Okabe-Ito palette): EMA Fast: Displayed in blue. EMA Slow: Displayed in orange. Stop Loss Levels: Rendered in vermilion. Profit Target Levels: Shown in a distinct azzurro (light blue). Benefits and Considerations: Reliability: By requiring both EMA crossovers and an RSI confirmation, FlexATR filters out a significant amount of market noise, which reduces false signals at the expense of some delayed entries. Adaptability: The automatic conversion of “day-based” parameters into bar counts for intraday charts means the strategy remains consistent across different timeframes. Risk Management: Using the ATR for both fixed and trailing stops allows the strategy to adapt to changing market volatility, helping to protect your capital. Flexibility: The strategy’s inputs are customizable via the input panel, allowing traders to fine-tune the parameters for different assets or market conditions. Conclusion: FlexATR is designed as a balanced, adaptive strategy that emphasizes reliability and robust risk management across a variety of timeframes. While it may sometimes enter trades slightly later due to its filtering mechanism, its focus on confirming trends helps reduce the likelihood of false signals. This makes it particularly attractive for traders who prioritize a disciplined, multi-timeframe approach to capturing market trends.
Pine Script®策略
由Javajockey提供
Enhanced KLSE Banker Flow Oscillator# Enhanced KLSE Banker Flow Oscillator ## Description The Enhanced KLSE Banker Flow Oscillator is a sophisticated technical analysis tool designed specifically for the Malaysian stock market (KLSE). This indicator analyzes price and volume relationships to identify potential smart money movements, providing early signals for market reversals and continuation patterns. The oscillator measures the buying and selling pressure in the market with a focus on detecting institutional activity. By combining money flow calculations with volume filters and price action analysis, it helps traders identify high-probability trading opportunities with reduced noise. ## Key Features - Dual-Timeframe Analysis: Combines long-term money flow trends with short-term momentum shifts for more accurate signals - Adaptive Volume Filtering: Automatically adjusts volume thresholds based on recent market conditions - Advanced Divergence Detection: Identifies potential trend reversals through price-flow divergences - Early Signal Detection: Provides anticipatory signals before major price movements occur - Multiple Signal Types: Offers both early alerts and strong confirmation signals with clear visual markers - Volatility Adjustment: Adapts sensitivity based on current market volatility for more reliable signals - Comprehensive Visual Feedback: Color-coded oscillator, signal markers, and optional text labels - Customizable Display Options: Toggle momentum histogram, early signals, and zone fills - Organized Settings Interface: Logically grouped parameters for easier configuration ## Indicator Components 1. Main Oscillator Line: The primary banker flow line that fluctuates above and below zero 2. Early Signal Line: Secondary indicator showing potential emerging signals 3. Momentum Histogram: Visual representation of flow momentum changes 4. Zone Fills: Color-coded background highlighting positive and negative zones 5. Signal Markers: Visual indicators for entry and exit points 6. Reference Lines: Key levels for strong and early signals 7. Signal Labels: Optional text annotations for significant signals ## Signal Types 1. Strong Buy Signal (Green Arrow): Major bullish signal with high probability of success 2. Strong Sell Signal (Red Arrow): Major bearish signal with high probability of success 3. Early Buy Signal (Blue Circle): First indication of potential bullish trend 4. Early Sell Signal (Red Circle): First indication of potential bearish trend 5. Bullish Divergence (Yellow Triangle Up): Price making lower lows while flow makes higher lows 6. Bearish Divergence (Yellow Triangle Down): Price making higher highs while flow makes lower highs ## Parameters Explained ### Core Settings - MFI Base Length (14): Primary calculation period for money flow index - Short-term Flow Length (5): Calculation period for early signals - KLSE Sensitivity (1.8): Multiplier for flow calculations, higher = more sensitive - Smoothing Length (5): Smoothing period for the main oscillator line ### Volume Filter Settings - Volume Filter % (65): Minimum volume threshold as percentage of average - Use Adaptive Volume Filter (true): Dynamically adjusts volume thresholds ### Signal Levels - Strong Signal Level (15): Threshold for strong buy/sell signals - Early Signal Level (10): Threshold for early buy/sell signals - Early Signal Threshold (0.75): Sensitivity factor for early signals ### Advanced Settings - Divergence Lookback (34): Period for checking price-flow divergences - Show Signal Labels (true): Toggle text labels for signals ### Visual Settings - Show Momentum Histogram (true): Toggle the momentum histogram display - Show Early Signal (true): Toggle the early signal line display - Show Zone Fills (true): Toggle background color fills ## How to Use This Indicator ### Installation 1. Add the indicator to your TradingView chart 2. Default settings are optimized for KLSE stocks 3. Customize parameters if needed for specific stocks ### Basic Interpretation - Oscillator Above Zero: Bullish bias, buying pressure dominates - Oscillator Below Zero: Bearish bias, selling pressure dominates - Crossing Zero Line: Potential shift in market sentiment - Extreme Readings: Possible overbought/oversold conditions ### Advanced Interpretation - Divergences: Early warning of trend exhaustion - Signal Confluences: Multiple signal types appearing together increase reliability - Volume Confirmation: Signals with higher volume are more significant - Momentum Alignment: Histogram should confirm direction of main oscillator ### Trading Strategies #### Trend Following Strategy 1. Identify market trend direction 2. Wait for pullbacks shown by oscillator moving against trend 3. Enter when oscillator reverses back in trend direction with a Strong signal 4. Place stop loss below/above recent swing low/high 5. Take profit at previous resistance/support levels #### Counter-Trend Strategy 1. Look for oscillator reaching extreme levels 2. Identify divergence between price and oscillator 3. Wait for oscillator to cross Early signal threshold 4. Enter position against prevailing trend 5. Use tight stop loss (1 ATR from entry) 6. Take profit at first resistance/support level #### Breakout Confirmation Strategy 1. Identify stock consolidating in a range 2. Wait for price to break out of range 3. Confirm breakout with oscillator crossing zero line in breakout direction 4. Enter position in breakout direction 5. Place stop loss below/above the breakout level 6. Trail stop as price advances ### Signal Hierarchy and Reliability From highest to lowest reliability: 1. Strong Buy/Sell signals with divergence and high volume 2. Strong Buy/Sell signals with high volume 3. Divergence signals followed by Early signals 4. Strong Buy/Sell signals with normal volume 5. Early Buy/Sell signals with high volume 6. Early Buy/Sell signals with normal volume ## Complete Trading Plan Example ### KLSE Market Trading System #### Pre-Trading Preparation 1. Review overall market sentiment (bullish, bearish, or neutral) 2. Scan for stocks showing significant banker flow signals 3. Note key support/resistance levels for watchlist stocks 4. Prioritize trade candidates based on signal strength and volume #### Entry Rules for Long Positions 1. Banker Flow Oscillator above zero line (positive flow environment) 2. One or more of the following signals present: - Strong Buy signal (green arrow) - Bullish Divergence signal (yellow triangle up) - Early Buy signal (blue circle) with confirming price action 3. Entry confirmation requirements: - Volume above 65% of 20-day average - Price above short-term moving average (e.g., 20 EMA) - No immediate resistance within 3% of entry price 4. Entry on the next candle open after signal confirmation #### Entry Rules for Short Positions 1. Banker Flow Oscillator below zero line (negative flow environment) 2. One or more of the following signals present: - Strong Sell signal (red arrow) - Bearish Divergence signal (yellow triangle down) - Early Sell signal (red circle) with confirming price action 3. Entry confirmation requirements: - Volume above 65% of 20-day average - Price below short-term moving average (e.g., 20 EMA) - No immediate support within 3% of entry price 4. Entry on the next candle open after signal confirmation #### Position Sizing Rules 1. Base risk per trade: 1% of trading capital 2. Position size calculation: Capital × Risk% ÷ Stop Loss Distance 3. Position size adjustments: - Increase by 20% for Strong signals with above-average volume - Decrease by 20% for Early signals without confirming price action - Standard size for all other valid signals #### Stop Loss Placement 1. For Long Positions: - Place stop below the most recent swing low - Minimum distance: 1.5 × ATR(14) - Maximum risk: 1% of trading capital 2. For Short Positions: - Place stop above the most recent swing high - Minimum distance: 1.5 × ATR(14) - Maximum risk: 1% of trading capital #### Take Profit Strategy 1. First Target (33% of position): - 1.5:1 reward-to-risk ratio - Move stop to breakeven after reaching first target 2. Second Target (33% of position): - 2.5:1 reward-to-risk ratio - Trail stop at previous day's low/high 3. Final Target (34% of position): - 4:1 reward-to-risk ratio or - Exit when opposing signal appears (e.g., Strong Sell for long positions) #### Trade Management Rules 1. After reaching first target: - Move stop to breakeven - Consider adding to position if new confirming signal appears 2. After reaching second target: - Trail stop using banker flow signals - Exit remaining position when: - Oscillator crosses zero line in opposite direction - Opposing signal appears - Price closes below/above trailing stop level 3. Maximum holding period: - 20 trading days for trend-following trades - 10 trading days for counter-trend trades - Re-evaluate if targets not reached within timeframe #### Risk Management Safeguards 1. Maximum open positions: 5 trades 2. Maximum sector exposure: 40% of trading capital 3. Maximum daily drawdown limit: 3% of trading capital 4. Mandatory stop trading rules: - After three consecutive losing trades - After reaching 5% account drawdown - Resume after two-day cooling period and strategy review #### Performance Tracking 1. Track for each trade: - Signal type that triggered entry - Oscillator reading at entry and exit - Volume relative to average - Price action confirmation patterns - Holding period - Reward-to-risk achieved 2. Review performance metrics weekly: - Win rate by signal type - Average reward-to-risk ratio - Profit factor - Maximum drawdown 3. Adjust strategy parameters based on performance: - Increase position size for highest performing signals - Decrease or eliminate trades based on underperforming signals ## Advanced Usage Tips 1. Combine with Support/Resistance: - Signals are more reliable when they occur at key support/resistance levels - Look for banker flow divergence at major price levels 2. Multiple Timeframe Analysis: - Use the oscillator on both daily and weekly timeframes - Stronger signals when both timeframes align - Enter on shorter timeframe when confirmed by longer timeframe 3. Sector Rotation Strategy: - Compare banker flow across different sectors - Rotate capital to sectors showing strongest positive flow - Avoid sectors with persistent negative flow 4. Volatility Adjustments: - During high volatility periods, wait for Strong signals only - During low volatility periods, Early signals can be more actionable 5. Optimizing Parameters: - For more volatile stocks: Increase Smoothing Length (6-8) - For less volatile stocks: Decrease KLSE Sensitivity (1.2-1.5) - For intraday trading: Reduce all length parameters by 30-50% ## Fine-Tuning for Different Markets While optimized for KLSE, the indicator can be adapted for other markets: 1. For US Stocks: - Reduce KLSE Sensitivity to 1.5 - Increase Volume Filter to 75% - Adjust Strong Signal Level to 18 2. For Forex: - Increase Smoothing Length to 8 - Reduce Early Signal Threshold to 0.6 - Focus more on divergence signals than crossovers 3. For Cryptocurrencies: - Increase KLSE Sensitivity to 2.2 - Reduce Signal Levels (Strong: 12, Early: 8) - Use higher Volume Filter (80%) By thoroughly understanding and properly implementing the Enhanced KLSE Banker Flow Oscillator, traders can gain a significant edge in identifying institutional money flow and making more informed trading decisions, particularly in the Malaysian stock market.
Pine Script®指標
由Dr_Leong_Yee_Rock提供
2
Typical Price Difference - TPD © with reversal zones and signalsv1.0 NOTE: The maths have been tested only for BTC and weekly time frame. This is a concept that I came through after long long hours of VWAP trading and scalping. The idea is pretty simple: 1) Typical Price is calculated by (h+l+c) / 3. If we take this price and adjust it to volume we get the VWAP value. The difference between this value and the close value, i call it " Typical Price Difference - TPD ". 2) We get the Historical Volatility as calculated by TradingView script and we add it up to TPD and divide it by two (average). This is what I call " The Source - TS ". 3) We apply the CCI formula to TS . 4) We calculate the Rate of Change (roc) of the CCI formula. 5) We apply the VIX FIX of Larry Williams (script used is from ChrisMoody - CM_Williams_Vix_Fix Finds Market Bottoms) *brilliant script!!! How to use it: a) When the (3) is over the TPD we have a bullish bias (green area). When it's under we have a bearish bias (red area). b) If the (1) value goes over or under a certain value (CAUTION!!! it varies in different assets or timeframes) we get a Reversal Zone (RZ). Red/Green background. c) If we are in a RZ and the VIX FIX gives a strong value (look for green bars in histogram) and roc (4) goes in the opposite direction, we get a reversal signal that works for the next week(s). I applied this to BTC on a weekly time frame and after some corrections, it gives pretty good reversal zones and signals. Especially bottoms. Also look for divergences in the zones/signals. As I said I have tested and confirmed it only on BTC/weekly. I need more time with the maths and pine to automatically adjust it to other time frames. You can play with it in different assets or time frames to find best settings by hand. Feel free to share your thoughts or ideas on this. P.S. I realy realy realy try to remember when or how or why I came up with the idea to combine typical price with historical volatility and CCI. I can't! It doesn't make any sense LOL
Pine Script®指標
由MyFire_Yiannis提供
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!
Pine Script®指標
由Steversteves提供
5
FVG (Nephew sam remake)Hello i am making my own FVG script inspired by Nephew Sam as his fvg code is not open source. My goal is to replicate his Script and then add in alerts and more functions. Thus, i spent few days trying to code. There is bugs such as lower time frame not showing higher time frame FVG. This script automatically detects and visualizes Fair Value Gaps (FVGs) — imbalances between demand and supply — across multiple timeframes (15-minute, 1-hour, and 4-hour). 15m chart shows: 15m FVGs (green/red boxes) 1H FVGs (lime/maroon) 4H FVGs (faded green/red with borders) (Bugged For now i only see 1H appearing) 1H chart shows: 1H FVGs 4H FVGs 4H chart shows: 4H FVGs only There is the function to auto close FVG when a future candle fully disrespected it. You're welcome to: 🔧 Customize the appearance: adjust box colors, transparency, border style 🧪 Add alerts: e.g., when price enters or fills a gap 📅 Expand to Daily/Weekly: just copy the logic and plug in "D" or "W" as new layers 📈 Build confluence logic: combine this with order blocks, liquidity zones, or ICT concepts 🧠 Experiment with entry signals: e.g., candle confirmation on return to FVG 🚀 Improve performance: if you find a lighter way to track gaps, feel free to optimize!
Pine Script®指標
由ATKH提供
1
Auto Anchored VWAPs for FuturesAbout the Script This indicator automatically plots five anchored VWAPs based on predefined starting times, offering traders key reference points across multiple timeframes. These starting points are hardcoded and cannot be customized, ensuring consistency across all time zones. Below are the anchored VWAPs and their respective starting times: NY Session: Starts daily at 9:30 AM EST Globex: Starts daily at 6:00 PM EST Weekly: Resets every Sunday at 6:00 PM EST Monthly: Anchored to the first session of the month at 6:00 PM EST Yearly: Anchored to the first session of the year at 6:00 PM EST How to Use the Script 1) Add the script to your chart. 2) Select the appropriate Daylight Savings Time format. 3) Customize the visual appearance to your preference. 4) Click "OK" to apply the changes. Once configured, the VWAP levels will automatically adjust based on the predefined timeframes. How the Script Works The script calculates and plots anchored VWAPs at the predefined starting times listed above. As each session, week, month, and year progresses, the corresponding VWAP is recalculated and updated on the chart, providing traders with dynamic insights into market trends and volume-weighted price action.
Pine Script®指標
由amatuergenius36提供
Mswing HommaThe Mswing is a momentum oscillator that calculates the rate of price change over 20 and 50 periods (days/weeks). Apart from quantifying momentum, it can be used for assessing relative strength, sectoral rotation & entry/exit signals. Quantifying Momentum Strength The Mswing's relationship with its EMA (e.g., 5-period or 9-period) is used for momentum analysis: • M Swing >0 and Above EMA: Momentum is positive and accelerating (ideal for entries). • M Swing >0 and Below EMA: Momentum is positive but decelerating (caution). • M Swing <0 and Above EMA: Momentum is negative but improving (watch for reversals). • M Swing <0 and Below EMA: Momentum is negative and worsening (exit or avoid). Relative Strength Scanning (M Score) Sort stocks by their M Swing using TradingView’s Pine scanner. Compare the Mswing scores of indices/sectors to allocate capital to stronger groups (e.g., renewables vs. traditional energy). Stocks with strong Mswing scores tend to outperform during bullish phases, while weak ones collapse faster in downtrends. Entry and Exit Signals Entry: Buy when Mswing crosses above 0 + price breaks key moving averages (50-day SMA). Use Mswing >0 to confirm valid breakouts. Buy dips when Mswing holds above EMA during retracements. Exit: Mswing can be used for exiting a stock in 2 ways: • Sell in Strength: Mswing >4 (overbought). • Sell in Weakness: Mswing <0 + price below 50-day SMA. Multi-Timeframe Analysis • Daily: For swing trades. • Weekly: For trend confirmation. • Monthly: For long-term portfolio adjustments.
Pine Script®指標
由sakatashomma提供
2
MTF Key Levels [Mxwll]Mxwll MTF S/R: The Mxwll MTF Support & Resistance indicator is designed to identify crucial support and resistance levels across multiple timeframes. By considering various timeframes, this indicator provides a more comprehensive view of the market's underlying structure. It allows traders to extend lines in various configurations and covers timeframes ranging from 5 minutes to weekly. By considering price action across multiple timeframes, the indicator provides a more comprehensive understanding of the market's supply and demand dynamics. Traders can use the Mxwll MTF Support & Resistance Indicator to refine their trade entries and exits, manage risk, and establish potential price targets. FEATURES 5 Minute to Weekly Key Levels Accurate Multi-Timeframe Support and Resistance Customize To Extend The Lines - Left, Right and Right Across The Chart Interplay Between Support and Resistance Levels Change Colours Of S&R Change Colours Of S&R Lines INSTRUCTIONS Select Your Timeframe -> Unselect the S&R Levels That Are Less Than The Timeframe - Trade
Pine Script®指標
由MXWLL-Capital-Trading提供
29
TriexDev - SuperBuySellTrend (PLUS+)Minimal but powerful. Have been using this for myself, so thought it would be nice to share publicly. Of course no script is correct 100% of the time, but this is one of if not the best in my basic tools. (This is the expanded/PLUS version) Github Link for latest/most detailed + tidier documentation Base Indicator - Script Link TriexDev - SuperBuySellTrend (SBST+) TradingView Trend Indicator --- SBST Plus+ Using the "plus" version is optional, if you only want the buy/sell signals - use the "base" version. ## What are vector candles? Vector Candles (inspired to add from TradersReality/MT4) are candles that are colour coded to indicate higher volumes, and likely flip points / direction changes, or confirmations. These are based off of PVSRA (Price, Volume, Support, Resistance Analysis). You can also override the currency that this runs off of, including multiple ones - however adding more may slow things down. PVSRA - From MT4 source: Situation "Climax" Bars with volume >= 200% of the average volume of the 10 previous chart TFs, and bars where the product of candle spread x candle volume is >= the highest for the 10 previous chart time TFs. Default Colours: Bull bars are green and bear bars are red. Situation "Volume Rising Above Average" Bars with volume >= 150% of the average volume of the 10 previous chart TFs. Default Colours: Bull bars are blue and bear are blue-violet. A blue or purple bar can mean the chart has reached a top or bottom. High volume bars during a movement can indicate a big movement is coming - or a top/bottom if bulls/bears are unable to break that point - or the volume direction has flipped. This can also just be a healthy short term movement in the opposite direction - but at times sets obvious trend shifts. ## Volume Tracking You can shift-click any candle to get the volume of that candle (in the pair token/stock), if you click and drag - you will see the volume for that range. ## Bollinger Bands Bollinger Bands can be enabled in the settings via the toggle. Bollinger Bands are designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold (bottom lines) or overbought (top lines). >There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band. >The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but they can be modified. --- Base Indicator ## What is ATR? The average true range (ATR) is a technical analysis indicator, which measures market volatility by decomposing the entire range of an asset price for that period. The true range indicator is taken as the greatest of the following: - current high - the current low; - the absolute value of the current high - the previous close; - and the absolute value of the current low - the previous close. The ATR is then a moving average, generally using 10/14 days, of the true ranges. ## What does this indicator do? Uses the ATR and multipliers to help you predict price volatility, ranges and trend direction. > The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price. > It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red. > A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it will be less effective in a sideways-moving market. Thanks to KivancOzbilgic who made the original SuperTrend Indicator this was based off --- ## Usage Notes Two indicators will appear, the default ATR multipliers are already set for what I believe to be perfect for this particular (double indicator) strategy. If you want to break it yourself (I couldn't find anything that tested more accurately myself), you can do so in the settings once you have added the indicator. Basic rundown: - A single Buy/Sell indicator in the dim colour; may be setting a direction change, or just healthy movement. - When the brighter Buy/Sell indicator appears; it often means that a change in direction (uptrend or downtrend) is confirmed. --- You can see here, there was a (brighter) green indicator which flipped down then up into a (brighter) red sell indicator which set the downtrend. At the end it looks like it may be starting to break the downtrend - as the price is hitting the trend line. (Would watch for whether it holds above or drops below at that point) Another example, showing how sometimes it can still be correct but take some time to play out - with some arrow indicators. Typically I would also look at oscillators, RSI and other things to confirm - but here it held above the trend lines nicely, so it appeared to be rather obvious. It's worth paying attention to the trend lines and where the candles are sitting. Once you understand/get a feel for the basics of how it works - it can become a very useful tool in your trading arsenal. Also works for traditional markets & commodities etc in the same way / using the same ATR multipliers, however of course crypto generally has bigger moves. --- You can use this and other indicators to confirm likeliness of a direction change prior to the brighter/confirmation one appearing - but just going by the 2nd(brighter) indicators, I have found it to be surprisingly accurate. Tends to work well on virtually all timeframes, but personally prefer to use it on 5min,15min,1hr, 4hr, daily, weekly. Will still work for shorter/other timeframes, but may be more accurate on mid ones. --- This will likely be updated as I go / find useful additions that don't convolute things. The base indicator may be updated with some limited / toggle-able features in future also.
Pine Script®指標
由Xeirt提供
4
Natenberg's VolatilityThis indicator is historical volatility indicator created by Sheldon Natenberg , as the standard deviation of the logarithmic price changes measured at regular intervals of time. In Mr. Natenberg's book, Option Volatility & Pricing, he covers volatility in detail and gives the formula for computing historical volatility. My changes : I didn't changed formula, i just added smooth version of volatility it can be used as trigger when cross(over/under) non-smoothed volatility. Note: There is two formulas for daily and weekly. Indicator showing only daily formula ! Who wants to display the weekly formula change line 17, namely remove "//" Enjoy!
Pine Script®指標
由crypteisfuture提供
20 SMA based Bull/Bear sentiment indicatorThis script is only doing one thing, plots the 20 SMA and based on whether the asset's price is above or below of the SMA it changes the color of the SMA and the background's color. Helping it to visualize whether from the 20 SMA's point of view we are in a Bull or a Bear trend. I created this because I myself use this SMA with Bitcoin on the weekly time frame to identify the macro trend on the weekly. IMO this is a good crypto market sentiment indicator.
Pine Script®指標
由KriptoLabor提供
Bitcoin Bull Runs Mid Cycle Aligned This script plots 2 lines which are the 2013 and 2016 bull run. The plots are aligned on their mid cycles to the 2021 mid cycle. Settings: You can move the plots on the x and y axis in the settings for the Daily, Weekly and Monthly TFs. The plot is weird on the Monthly TF, best to use the Daily and Weekly. If it doesn't load at first you have to zoom out fully and go back to 2013 for it to load. Then it will load.
Pine Script®指標
由jewinator_8提供
12
Anti-Volume Stop LossFINALLY! As everyone who tried to create, understand, or even find the Buff Pelz Dormeier Anti-volume stop-loss indicator knows that - it's not easy. Personally, I have partially, or perhaps completely figured out, the tips Buff had given in Investing with Volume Analysis book. AVSL now is ready. Please do some test and give me a feedback how it works in your trade strategy. Anti-Volume stop loss - AVSL from Investing with Volume Analysis book CHAPTER 20 • RISKY BUSINESS 253-256: "It is important in any risk-management process to predetermine an objective decision point level (a stop loss) to exit, thereby protecting principal in case you are wrong. My objective sell point is determined by using a quantitative formula I refer to as Anti-Volume Stop Loss (AVSL). Having a quantitative, yet intelligent sell point eliminates the emotional struggles involved in deciding when to exit a position. AVSL is a technical methodology that incorporates the concepts of support, volatility, and, most importantly, the inverse relationship between price and volume. The AVSL combines the concepts of the VPCI (Volume Price Confirmation Indicator) and John Bollinger’s Bollinger Bands to create a trailing stop loss. AVSL = Lower Bollinger Band – (Price, Length, Standard Deviation) Where: Length = Round (3 + VPCI) Price = Average (Lows × 1 / VPC × 1 / VPR, Length) Standard Deviation = 2 × (VPCI × VM) One of the most difficult decisions is determining what one’s maximum loss threshold should be. Some say 2 percent; others say 20 percent. I believe the more volatile a security, the looser the stop should be. A nonvolatile security, such as Coca-Cola, might move 7 percent a year, while a volatile security such as Google might move 7 percent in a day. If you use a 7 percent stop for Coca-Cola, it might take a year to be stopped out while the security underperforms. However, if you use 7 percent for Google, you can be stopped out intraday, not allowing the investment an opportunity to develop. By using the lower Bollinger Band of the securities lows, the AVSL considers each individual security’s own volatility. Thus, a volatile security would be granted more room of the stocks low while a stable security would have a tighter leash (see Figure 20.7). The next important step is employing the price-volume relationship into the calculation. Volume gauges the power behind price moves. In accounting for this, when a security is in an uptrend and has positive volume characteristics, it is given more room. However, if the security exhibits contracting volume characteristics, then the stop is tightened. In this way, if a negative news event affects an unhealthy security, the stop is tighter, thus preserving more of your profits. However, if the negative news event affects a security whose price-volume relationship is healthy, the stop has been loosened, avoiding the temporary whipsaw of an otherwise strong position. In these ways, AVSL lets the market decide when to exit your position. AVSL tailors each security for support, volatility, and the pricevolume relationship based on an investor’s time frame as calculated from the chart data. For example, my portfolio positions are continually re-evaluated with this AVSL methodology, which yields the possibility of raising the decision point threshold periodically based on the time frame of my investment objective. With my short-term Giddy-up portfolios, I use daily chart data and seek to raise my maximum loss stop on a daily basis. My intermediate ETF and stock positions are calculated off of weekly data and then re-evaluated weekly. With my longer term stock portfolios, the decision point is calculated off data revised monthly. This analytical approach that uses measurable facts over emotion or gut instincts allows me to maintain my objectivity. Thus objectivity, not emotion, informs my investment decisions." How look mine AVSL: Price component = low × 1/VPC × 1/VPR : for VPC > 1 and VPC < -1 | low × 1 × 1/VPR : for 1 > VPC > 0 | low × -1 × 1/VPR : for 0 > VPC > -1 AVSL Price = sma((low × 1/VPC × 1/VPR) , length) / 100 length = round : for VPCI > 0 | round [ absolute ] : for VPCI < 0 | 3 : for VPCI=0 Standard Deviation = mult × VPCI × VM) AVSL = sma(Actual low price - AWSL Price + Standard Deviation, 26) It's hard to say is it the same as in Buff Pelz Dormeier book, but I encourage you to modify the script for better results.
Pine Script®指標
由Rafka提供
56
stoch pop and RSI2 strategyI have combined stochsatic POP and RSI2 strategy. Go Long on stochstaic > 80 and RSI2 pulled back to 30 (note when you are entering Long, check that stochsatic is still above 80 ) Close Long when stochastic crossing down 55 I have back tested this on SPY weekly. It has less trades but high profitable with very less draw down. Other time frames you have more signals but , not great winning rate. Since this is weekly setup, good for investing ... long waiting to close , patience required :-)
Pine Script®策略
由eemani123提供
Bitcoin Risk Long Term indicatorOBJECTIVE: The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision. Useful for those who want to see things simply, typically to make a smart DCA based on risk. I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it. USAGE: The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config) Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version. NOTES : If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated! In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe) THANKS: to Benjamin Cowen for inspiring me with his Bitcoin Risk metric to Lazybear for his Wavetrend Indicator and all the scripts he shares to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script to VuManChu for his VMC Cypher B Divergence to the Trading view team for developing TV and PineScript And to all the community for all the published codes that allowed me to progress and create this script ---- FR ---- OBJECTIF : L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme. Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque. À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager. UTILISATION : Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente) La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale. NOTES : Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié ! à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe) REMERCIEMENT : à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones à VuManChu pour son VMC Cypher B Divergence à l'équipe Trading view pour avoir développé TV et PineScript Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
Pine Script®指標
由Julien-PH提供
6
[MF] Auto Fibonacci LevelsDescription: Automatically draw Fibonacci Pivot levels based on the previous (day's, week's or month's) Range ( High-Low ). The HLC3 is used as the default Pivot level. Unlike the "Auto Fibonacci Levels", this variation does not update Levels on current day even if the price goes past the R3/S3 levels. Timeframes: 1D, 1W, 1M Range = (High - Low) - From previous Day, Week or month. FIB LEVELS: - Yellow = Pivot and Pivot Zone (HLC3 by default) - red = R1,S1 Levels 0.236 * Range - Green = R2,S2 Levels 0.368 * Range - Lime = R3,S3 Levels 0.618 * Range - Blue = R4,S4 Levels 0.786 * Range - Gray = R5,S5 Levels 1.000 * Range - Lime = R6,S6 Levels 1.236 * Range - Red = R7,S7 Levels 1.382 * Range - Blue = R8,S8 Levels 1.618 * Range - Green = R9,S9 Levels 2.000 * Range CLASSIC LEVELS: - Yellow = Pivot and Pivot Zone (HLC3) - Green = R1,S1 Levels (Pivot*2 - Low), (Pivot*2 - High) - Lime = R2,S2 Levels ( Pivot + Range), ( Pivot - Range) - Lime = R3,S3 Levels (High + 2*( Pivot - Low)), (Low - 2*(High - Pivot )) - Blue = R4,S4 Levels (High + 3*( Pivot - Low)), (Low - 3*(High - Pivot )) Refrences: - Auto Daily Fib Levels R3.0 by JustUncleL - Auto Fib by TheYangGuizi - Monthly Dynamic Range Levels (Fibonaci) V0 by RicardoSantos Modifications: - Added next FIB Levels. (changes during the current cycle) - Added FIB 0.236 Levels - Added Option to change the colors of the Fib Levels - Changed Default colors to the colors of Tradingview - Upgraded to Version4 Pinescript
Pine Script®指標
由MF_Crypto提供
14
Multi Range VWAP PivotsMulti Range VWAP Pivots turned out to be one of my most accurate pivot indicators to date! Multi Range VWAP Pivots works by recognizing the high and low of the timeframe selected (D, W, M, 6M, and 12M) and plotting range high to VWAP averages and range low to VWAP averages. After further examination of each completed range, I came to the conclusion that due to the nature of averages, high and low respectively would need to be completed within the current range, for the averages to actually display pivots correctly. This means that if all averages appear to be "pivoting" correctly after or during a break lower of higher, then we can only assume the most recent break higher or lower could be exhaustion and price will be reverted to the mean (VWAP). OR, this could be the most accurate hindsight indicator on the planet. *DISCLAIMER*: This indicator repaints. DO NOT backtest or set alerts with this indicator.
Pine Script®指標
由dysrupt提供
6