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חפש סקריפטים עבור "spx"

IV/HV ratio 1.0 [dime]This script compares the implied volatility to the historic volatility as a ratio. The plot indicates how high the current implied volatility for the next 30 days is relative to the actual volatility realized over the set period. This is most useful for options traders as it may show when the premiums paid on options are over valued relative to the historic risk. The default is set to one year (252 bars) however any number of bars can be set for the lookback period for HV. The default is set to VIX for the IV on SPX or SPY but other CBOE implied volatility indexes may be used. For /CL you have OVX/HV and for /GC you have GVX/HV. Note that the CBOE data for these indexes may be delayed and updated EOD and may not be suitable for intraday information. (Future versions of this script may be developed to provide a realtime intraday study. ) There is a list of many volatility indexes from CBOE listed at: www.cboe.com (Some may not yet be available on Tradingview) RVX Russell 2000 VXN NASDAQ VXO S&P 100 VXD DJIA GVX Gold OVX OIL VIX3M 3-Month VIX6M S&P 500 6-Month VIX1Y 1-Year VXEFA Cboe EFA ETF VXEEM Cboe Emerging Markets ETF VXFXI Cboe China ETF VXEWZ Cboe Brazil ETF VXSLV Cboe Silver ETF VXGDX Cboe Gold Miners ETF VXXLE Cboe Energy Sector ETF EUVIX FX Euro JYVIX FX Yen BPVIX FX British Pound EVZ Cboe EuroCurrency ETF Volatility Index Amazon VXAZN Apple VXAPL Goldman Sachs VXGS Google VXGOG IBM VXIBM
אינדיקטור Pine Script®
מאת ‎dime‎
2
SPX Excess CAPE YieldHere we are looking at the Excess CAPE yield for the SPX500 over the last 100+ years "A higher CAPE meant a lower subsequent 10-year return, and vice versa. The R-squared was a phenomenally high 0.9 — the CAPE on its own was enough to explain 90% of stocks’ subsequent performance over a decade. The standard deviation was 1.37% — in other words, two-thirds of the time the prediction was within 1.37 percentage points of the eventual outcome: this over a quarter-century that included an equity bubble, a credit bubble, two epic bear markets, and a decade-long bull market." assets.bwbx.io In December of 2020 Dr. Robert Shiller the Yale Nobel Laurate suggested that an improvement on CAPE could be made by taking its inverse (the CAPE earnings yield) and subtracting the us10 year treasury yield. "His model plainly suggests that stocks will do badly over the next 10 years, and that bonds will do even worse. This was the way Shiller put it in a research piece for Barclays Plc in October, (which can be found on SSRN Below): In summary, investors expect a certain return in equities as compensation for investing in a riskier asset class, and as interest rates have declined, the relative expected return for equities has increased dramatically. We believe this may quantitatively help to explain investors current preference for equities over bonds, and as such the quick recoveries we are observing (with the exception of the UK), whilst still in the midst of a pandemic. In the US in particular, we are once again observing stretched valuations and high CAPE ratios compared to history." Sources: papers.ssrn.com www.bloomberg.com The standard trading view disclaimer applies to this post -- please consult your own investment advisor before making investment decisions. This post is for observation only and has no warranty etc. www.tradingview.com Best, JM
אינדיקטור Pine Script®
מאת ‎JM‎
2
Dskyz (DAFE) Quantum Sentiment Flux - Beginners Dskyz (DAFE) Quantum Sentiment Flux - Beginners: Welcome to the Dskyz (DAFE) Quantum Sentiment Flux - Beginners , a strategy and concept that’s your ultimate wingman for trading futures like MNQ, NQ, MES, and ES. This gem combines lightning-fast momentum signals, market sentiment smarts, and bulletproof risk management into a system so intuitive, even newbies can trade like pros. With clean DAFE visuals, preset modes for every vibe, and a revamped dashboard that’s basically a market GPS, this strategy makes futures trading feel like a high-octane sci-fi mission. Built on the Dskyz (DAFE) legacy of Aurora Divergence, the Quantum Sentiment Flux is designed to empower beginners while giving seasoned traders a lean, sentiment-driven edge. It uses fast/slow EMA crossovers for entries, filters trades with VIX, SPX trends, and sector breadth, and keeps your account safe with adaptive stops and cooldowns. Tuned for more action with faster signals and a slick bottom-left dashboard, this updated version is ready to light up your charts and outsmart institutional traps. Let’s dive into why this strat’s a must-have and break down its brilliance. Why Traders Need This Strategy Futures markets are a wild ride—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional games that can wreck unprepared traders. Beginners often get lost in complex systems or burned by impulsive trades. The Quantum Sentiment Flux is the antidote, offering: Dead-Simple Setup: Preset modes (Aggressive, Balanced, Conservative) auto-tune signals, risk, and sizing, so you can trade without a quant degree. Sentiment Superpower: VIX filter, SPX trend, and sector breadth visuals keep you aligned with market health, dodging chop and riding trends. Ironclad Safety: Tighter ATR-based stops, 2:1 take-profits, and preset cooldowns protect your capital, even in chaotic sessions. Next-Level Visuals: Green/red entry triangles, vibrant EMAs, a sector breadth background, and a beefed-up dashboard make signals and context pop. DAFE Swagger: The clean aesthetics, sleek dashboard—ties it to Dskyz’s elite brand, making your charts a work of art. Traders need this because it’s a plug-and-play system that blends beginner-friendly simplicity with pro-level market awareness. Whether you’re just starting or scalping 5min MNQ, this strat’s your key to trading with confidence and style. Strategy Components 1. Core Signal Logic (High-Speed Momentum) The strategy’s engine is a momentum-based system using fast and slow Exponential Moving Averages (EMAs), now tuned for faster, more frequent trades. How It Works: Fast/Slow EMAs: Fast EMA (Aggressive: 5, Balanced: 7, Conservative: 9 bars) and slow EMA (12/14/18 bars) track short-term vs. longer-term momentum. Crossover Signals: Buy: Fast EMA crosses above slow EMA, and trend_dir = 1 (fast EMA > slow EMA + ATR * strength threshold). Sell: Fast EMA crosses below slow EMA, and trend_dir = -1 (fast EMA < slow EMA - ATR * strength threshold). Strength Filter: ma_strength = fast EMA - slow EMA must exceed an ATR-scaled threshold (Aggressive: 0.15, Balanced: 0.18, Conservative: 0.25) for robust signals. Trend Direction: trend_dir confirms momentum, filtering out weak crossovers in choppy markets. Evolution: Faster EMAs (down from 7–10/21–50) catch short-term trends, perfect for active futures markets. Lower strength thresholds (0.15–0.25 vs. 0.3–0.5) make signals more sensitive, boosting trade frequency without sacrificing quality. Preset tuning ensures beginners get optimized settings, while pros can tweak via mode selection. 2. Market Sentiment Filters The strategy leans hard into market sentiment with a VIX filter, SPX trend analysis, and sector breadth visuals, keeping trades aligned with the big picture. VIX Filter: Logic: Blocks long entries if VIX > threshold (default: 20, can_long = vix_close < vix_limit). Shorts are always allowed (can_short = true). Impact: Prevents longs during high-fear markets (e.g., VIX spikes in crashes), while allowing shorts to capitalize on downturns. SPX Trend Filter: Logic: Compares S&P 500 (SPX) close to its SMA (Aggressive: 5, Balanced: 8, Conservative: 12 bars). spx_trend = 1 (UP) if close > SMA, -1 (DOWN) if < SMA, 0 (FLAT) if neutral. Impact: Provides dashboard context, encouraging trades that align with market direction (e.g., longs in UP trend). Sector Breadth (Visual): Logic: Tracks 10 sector ETFs (XLK, XLF, XLE, etc.) vs. their SMAs (same lengths as SPX). Each sector scores +1 (bullish), -1 (bearish), or 0 (neutral), summed as breadth (-10 to +10). Display: Green background if breadth > 4, red if breadth < -4, else neutral. Dashboard shows sector trends (↑/↓/-). Impact: Faster SMA lengths make breadth more responsive, reflecting sector rotations (e.g., tech surging, energy lagging). Why It’s Brilliant: - VIX filter adds pro-level volatility awareness, saving beginners from panic-driven losses. - SPX and sector breadth give a 360° view of market health, boosting signal confidence (e.g., green BG + buy signal = high-probability trade). - Shorter SMAs make sentiment visuals react faster, perfect for 5min charts. 3. Risk Management The risk controls are a fortress, now tighter and more dynamic to support frequent trading while keeping accounts safe. Preset-Based Risk: Aggressive: Fast EMAs (5/12), tight stops (1.1x ATR), 1-bar cooldown. High trade frequency, higher risk. Balanced: EMAs (7/14), 1.2x ATR stops, 1-bar cooldown. Versatile for most traders. Conservative: EMAs (9/18), 1.3x ATR stops, 2-bar cooldown. Safer, fewer trades. Impact: Auto-scales risk to match style, making it foolproof for beginners. Adaptive Stops and Take-Profits: Logic: Stops = entry ± ATR * atr_mult (1.1–1.3x, down from 1.2–2.0x). Take-profits = entry ± ATR * take_mult (2x stop distance, 2:1 reward/risk). Longs: stop below entry, TP above; shorts: vice versa. Impact: Tighter stops increase trade turnover while maintaining solid risk/reward, adapting to volatility. Trade Cooldown: Logic: Preset-driven (Aggressive/Balanced: 1 bar, Conservative: 2 bars vs. old user-input 2). Ensures bar_index - last_trade_bar >= cooldown. Impact: Faster cooldowns (especially Aggressive/Balanced) allow more trades, balanced by VIX and strength filters. Contract Sizing: Logic: User sets contracts (default: 1, max: 10), no preset cap (unlike old 7/5/3 suggestion). Impact: Flexible but risks over-leverage; beginners should stick to low contracts. Built To Be Reliable and Consistent: - Tighter stops and faster cooldowns make it a high-octane system without blowing up accounts. - Preset-driven risk removes guesswork, letting newbies trade confidently. - 2:1 TPs ensure profitable trades outweigh losses, even in volatile sessions like April 27, 2025 ES slippage. 4. Trade Entry and Exit Logic The entry/exit rules are simple yet razor-sharp, now with VIX filtering and faster signals: Entry Conditions: Long Entry: buy_signal (fast EMA crosses above slow EMA, trend_dir = 1), no position (strategy.position_size = 0), cooldown passed (can_trade), and VIX < 20 (can_long). Enters with user-defined contracts. Short Entry: sell_signal (fast EMA crosses below slow EMA, trend_dir = -1), no position, cooldown passed, can_short (always true). Logic: Tracks last_entry_bar for visuals, last_trade_bar for cooldowns. Exit Conditions: Stop-Loss/Take-Profit: ATR-based stops (1.1–1.3x) and TPs (2x stop distance). Longs exit if price hits stop (below) or TP (above); shorts vice versa. No Other Exits: Keeps it straightforward, relying on stops/TPs. 5. DAFE Visuals The visuals are pure DAFE magic, blending clean function with informative metrics utilized by professionals, now enhanced by faster signals and a responsive breadth background: EMA Plots: Display: Fast EMA (blue, 2px), slow EMA (orange, 2px), using faster lengths (5–9/12–18). Purpose: Highlights momentum shifts, with crossovers signaling entries. Sector Breadth Background: Display: Green (90% transparent) if breadth > 4, red (90%) if breadth < -4, else neutral. Purpose: Faster breadth_sma_len (5–12 vs. 10–50) reflects sector shifts in real-time, reinforcing signal strength. - Visuals are intuitive, turning complex signals into clear buy/sell cues. - Faster breadth background reacts to market rotations (e.g., tech vs. energy), giving a pro-level edge. 6. Sector Breadth Dashboard The new bottom-left dashboard is a game-changer, a 3x16 table (black/gray theme) that’s your market command center: Metrics: VIX: Current VIX (red if > 20, gray if not). SPX: Trend as “UP” (green), “DOWN” (red), or “FLAT” (gray). Trade Longs: “OK” (green) if VIX < 20, “BLOCK” (red) if not. Sector Breadth: 10 sectors (Tech, Financial, etc.) with trend arrows (↑ green, ↓ red, - gray). Placeholder Row: Empty for future metrics (e.g., ATR, breadth score). Purpose: Consolidates regime, volatility, market trend, and sector data, making decisions a breeze. - VIX and SPX metrics add context, helping beginners avoid bad trades (e.g., no longs if “BLOCK”). Sector arrows show market health at a glance, like a cheat code for sentiment. Key Features Beginner-Ready: Preset modes and clear visuals make futures trading a breeze. Sentiment-Driven: VIX filter, SPX trend, and sector breadth keep you in sync with the market. High-Frequency: Faster EMAs, tighter stops, and short cooldowns boost trade volume. Safe and Smart: Adaptive stops/TPs and cooldowns protect capital while maximizing wins. Visual Mastery: DAFE’s clean flair, EMAs, dashboard—makes trading fun and clear. Backtestable: Lean code and fixed qty ensure accurate historical testing. How to Use Add to Chart: Load on a 5min MNQ/ES chart in TradingView. Pick Preset: Aggressive (scalping), Balanced (versatile), or Conservative (safe). Balanced is default. Set Contracts: Default 1, max 10. Stick low for safety. Check Dashboard: Bottom-left shows preset, VIX, SPX, and sectors. “OK” + green breadth = strong buy. Backtest: Run in strategy tester to compare modes. Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues). Replay Test: Try April 28, 2025 NQ drop to see VIX filter and stops in action. Why It’s Brilliant The Dskyz (DAFE) Quantum Sentiment Flux - Beginners is a masterpiece of simplicity and power. It takes pro-level tools—momentum, VIX, sector breadth—and wraps them in a system anyone can run. Faster signals and tighter stops make it a trading machine, while the VIX filter and dashboard keep you ahead of market chaos. The DAFE visuals and bottom-left command center turn your chart into a futuristic cockpit, guiding you through every trade. For beginners, it’s a safe entry to futures; for pros, it’s a scalping beast with sentiment smarts. This strat doesn’t just trade—it transforms how you see the market. Final Notes This is more than a strategy—it’s your launchpad to mastering futures with Dskyz (DAFE) flair. The Quantum Sentiment Flux blends accessibility, speed, and market savvy to help you outsmart the game. Load it, watch those triangles glow, and let’s make the markets your canvas! Official Statement from Pine Script Team (see TradingView help docs and forums): "This warning may appear when you call functions such as ta.sma inside a request.security in a loop. There is no runtime impact. If you need to loop through a dynamic list of tickers, this cannot be avoided in the present version... Values will still be correct. Ignore this warning in such contexts." (This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.) Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
אסטרטגיית Pine Script®
מאת ‎DskyzInvestments‎
1
Dark Energy Divergence OscillatorThe Dark Energy Divergence Oscillator (DEDO) What makes The Universe grow at an accelerating pace? Dark Energy. What makes The Economy grow at an accelerating pace? Debt. Debt is the Dark Energy of The Economy. I pronounce DEDO "Deed-oh", but variations are fine with me. Note: The Pine Script version of DEDO is improved from the original formula, which used a constant all-time high calculation in the normalization factor. This was technically not as accurate for calculating liquidity pressure in historical data because it meant that historical prices were being tested against future liquidity factors. Now using Pine, the functions can be normalized for the bar at the time of calculation, so the liquidity factors are normalized per candle, not across the entire series, which feels like an improvement to me. Thought Process: It's all about the liquidity. What I started with is a correlation between major stock indices such as SPX and WRESBAL , a balance sheet metric on FRED After September 2008, when QE was initiated, many asset valuations started to follow more closely with liquidity factors. This led me to create a function that could combine asset prices and liquidity in WRESBAL , in order to calculate their divergence and chart the signal in TradingView. The original formula: First, we don't want "non-QE" data. we only want data for the market affected by QE . So, find SPX on the day of pre-QE: 1255.08 and subtract that from the 2022 top 4818.62 = 3563.54 With this post-QE SPX range, now you can normalize the price level simply by dividing by the range = ( SPX -1255.08)/3563.54) Normalization produces values from 0 to 1 so that they can be compared with other normalized figures. In order to test the 0 to 1 normalized SPX range measure against the liquidity number, WRESBAL , it's the same idea: normalize it using the max as the denominator and you get a 0 to 1 liquidity index: ( WRESBAL /4276000000000) Subtract one from the other to get the divergence: (( WRESBAL /4276000000000)-(( SPX -1255.08)/3563.54))*10 x10 to reduce decimal places, but this option is configurable in DEDO's input settings tab. Positive values indicate there's ample liquidity to hold up price or even create bullish momentum in some cases. Negative values mean price levels are potentially extended beyond what liquidity levels can support. Note: many viewers of the charts on social media wanted the values to go down in alignment with price moving down, so inverting the chart is what I do with Option + I. I like the fact that negative values represent a deficit in liquidity to hold up price but that's just me. Now with Pine Script and some help from other liquidity focused accounts on TradingView , I was able to derive a script that includes central bank liquidity and Reverse Repo liquidity drain, all in one algorithm, with adjustable settings. Central bank assets included in this version: -JPY (Japan) -CNY (China) -UK (British Pound) -SNB (Swiss National Bank) -ECB (European Central Bank ) Central Bank assets can be adjusted to an allocation % so that the formula is adjusted for the market cap of the asset. A handy table in the lower right corner displays useful information about the asset market cap, and percentage it represents in the liquidity pool. Reverse repo soak is also an optional addition in the Input settings using the RRPONTSYD value from FRED. This value is subtracted from global liquidity used to determine divergence since it is swept away from markets when residing in the Fed's reverse repo facility. There is an option to draw a line at the Zero bound. This provides a convenience so that the line doesn't keep having to be redrawn on every chart. The normalized equation produces a value that should oscillate around zero, as price/valuation grows past liquidity support, falls under it, and repeats in cycles.
אינדיקטור Pine Script®
מאת ‎DarklyEnergized‎
3
VIX Statistical Sentiment Index [Nasan]** THIS IS ONLY FOR US STOCK MARKET** The indicator analyzes market sentiment by computing the Rate of Change (ROC) for the VIX and S&P 500, visualizing the data as histograms with conditional coloring. It measures the correlation between the VIX, the specific stock, and the S&P 500, displaying the results on the chart. The reliability measure combines these correlations, offering an overall assessment of data robustness. One can use this information to gauge the inverse relationship between VIX and S&P 500, the alignment of the specific stock with the market, and the overall reliability of the correlations for informed decision-making based on the inverse relationship of VIX and price movement. **WHEN THE VIX ROC IS ABOVE ZERO (RED COLOR) AND RASING ONE CAN EXPECT THE PRICE TO MOVE DOWNWARDS, WHEN THE VIX ROC IS BELOW ZERO (GREEN)AND DECREASING ONE CAN EXPECT THE PRICE TO MOVE UPWARDS" Understanding the VIX Concept: The VIX, or Volatility Index, is a widely used indicator in finance that measures the market's expectation of volatility over the next 30 days. Here are key points about the VIX: Fear Gauge: Often referred to as the "fear gauge," the VIX tends to rise during periods of market uncertainty or fear and fall during calmer market conditions. Inverse Relationship with Market: The VIX typically has an inverse relationship with the stock market. When the stock market experiences a sell-off, the VIX tends to rise, indicating increased expected volatility. Implied Volatility: The VIX is derived from the prices of options on the S&P 500. It represents the market's expectations for future volatility and is often referred to as "implied volatility." Contrarian Indicator: Extremely high VIX levels may indicate oversold conditions, suggesting a potential market rebound. Conversely, very low VIX levels may signal complacency and a potential reversal. VIX vs. SPX Correlation: This correlation measures the strength and direction of the relationship between the VIX (Volatility Index) and the S&P 500 (SPX). A negative correlation indicates an inverse relationship. When the VIX goes up, the SPX tends to go down, and vice versa. The correlation value closer to -1 suggests a stronger inverse relationship between VIX and SPX. Stock vs. SPX Correlation: This correlation measures the strength and direction of the relationship between the closing price of the stock (retrieved using src1) and the S&P 500 (SPX). This correlation helps assess how closely the stock's price movements align with the broader market represented by the S&P 500. A positive correlation suggests that the stock tends to move in the same direction as the S&P 500, while a negative correlation indicates an opposite movement. Reliability Measure: Combines the squared values of the VIX vs. SPX and Stock vs. SPX correlations and takes the square root to create a reliability measure. This measure provides an overall assessment of how reliable the correlation information is in guiding decision-making. Interpretation: A higher reliability measure implies that the correlations between VIX and SPX, as well as between the stock and SPX, are more robust and consistent. One can use this reliability measure to gauge the confidence they can place in the correlations when making decisions about the specific stock based on VIX data and its correlation with the broader market.
אינדיקטור Pine Script®
מאת ‎federalTacos5392b‎
3
Central Bank Liquidity Gap IndicatorThis indicator measures the gap between global liquidity growth and stock market growth to identify potential buying opportunities. Liquidity drives markets. When central banks print money, that liquidity eventually flows into stocks and other assets. If we spot when liquidity growth is outpacing market growth, we can spot moments when the market is "due" to catch up. I like this quote: Earnings don't move the overall market; it's the Federal Reserve Board... focus on the central banks and focus on the movement of liquidity." - Stanley Druckenmiller How Central Bank Liquidity Gap Indicator Works The indicator calculates a simple divergence: Divergence = Liquidity Growth % − S&P 500 Growth % Green bars = Liquidity is growing faster than the market (bullish) Red bars = Market is growing faster than liquidity (less bullish) Multi-Country M2 Money Supply Unlike basic M2 indicators, this one lets you combine money supply data from multiple economies, including US, UK, Canada, China, Eurozone, Switzerland and Japan. Each country's M2 is automatically weighted by its actual size (converted to USD). Larger economies have more influence on the global liquidity picture. I've added a discount for China. China's M2 weight is reduced by 50% to account for capital controls that limit how much Chinese liquidity flows into global markets and into the US market. Fed Net Liquidity You can also blend in Fed Net Liquidity for a more precise US liquidity measure: Net Liquidity = Fed Balance Sheet − Treasury General Account − Reverse Repo This captures the actual liquidity the Fed has injected into financial markets, not just the broad money supply. How To Read It The Buy Zone (5%+ Divergence) When the divergence exceeds +5%, the indicator enters the "Buy Zone" (highlighted with green background). This means liquidity is significantly outpacing market growth — historically a good buy signal. The Support Table The info table shows: Component weights: How much each country's M2 contributes Corr w/ SPX: Current correlation between liquidity and SPX (are they moving together?) Leads SPX by X: Does past liquidity predict future SPX moves? (higher = more predictive) Divergence %: Current divergence value Signal Correlation Stats Corr w/ SPX: Measures if liquidity and SPX are moving in sync right now Leads SPX: Measures if liquidity changes predict future SPX moves. A positive value here suggests liquidity is a leading indicator. Potential Use Cases Long-term investing: Wait for 5%+ divergence (buy zone) to accumulate index funds, ETFs, or stocks Leveraged ETFs: Use buy zone signals to time entries into UPRO, TQQQ, SSO (higher risk, higher reward) Crypto: Bitcoin and crypto markets also correlate with global liquidity — use this for BTC accumulation timing Risk management: Avoid adding positions when divergence is deeply negative Important Notes This is a long-term indicator and not for daytrading. It works best used on Daily/Weekly timeframes It identifies accumulation zones and not precise bottoms Truly yours, Henrique Centieiro Inspired by the relationship between M2 money supply and market performance, enhanced with multi-country liquidity tracking and Fed balance sheet analysis. Let me know if you have questions/suggestions.
אינדיקטור Pine Script®
מאת ‎HenriqueCentieiro‎
4
Money Flow DivergenceThe Money Flow Divergence indicator is designed to help traders identify periods when there is a significant divergence between the growth of the U.S. M2 money supply and the S&P 500 index (SPX). This divergence can provide insights into potential market turning points, making it a valuable tool for long-term investors and traders looking to capitalize on macroeconomic trends. How It Works: Data Sources: S&P 500 Index (SPX) and U.S. M2 Money Supply. Calculating Growth Rates: SPX Growth: The script calculates the percentage growth of the S&P 500 index by comparing the current closing price with the previous period's closing price. M2 Growth: Similarly, it calculates the percentage growth of the U.S. M2 money supply by comparing the current value with the previous period's value. Growth Gap/Delta: Growth Gap: The core of the indicator is the "growth gap" or "delta," which is the difference between the M2 money supply growth and the SPX growth. This gap indicates whether liquidity in the economy (represented by M2) is outpacing or lagging behind the performance of the stock market. Interpretation: Positive Gap (Green Bars): When the M2 growth outpaces SPX growth, the gap is positive, indicating that there is more liquidity in the system than what is being reflected in the stock market. This scenario often signals potential upward momentum in the market, making it a good time to consider buying. Negative Gap (Red Bars): When the SPX growth outpaces M2 growth, the gap is negative, suggesting that the market may be overextended relative to the available liquidity. This can be a warning sign of potential market corrections or downturns. Visualization: The indicator plots the growth gap as a histogram with bars colored based on the gap value: Green Bars: Indicate a positive gap where M2 growth is higher than SPX growth. Red Bars: Indicate a negative gap where SPX growth is higher than M2 growth. The bars are thickened for better visibility, and a horizontal line at zero is plotted to help users easily distinguish between positive and negative gaps. How To Use It: Time Frame Selection: Users can select the desired time frame (e.g., monthly, weekly) for the data. This flexibility allows traders to analyze the indicator over different periods, depending on their investment horizon. Monthly time frames seem to work best. Interpreting the Indicator: Bullish Signals: Look for sustained periods of positive growth gaps (green bars), which may indicate a favorable environment for buying or holding long positions. Bearish Signals: Be cautious during periods of negative growth gaps (red bars), which could signal overvaluation in the market or potential pullbacks. Enjoy and let me know if you have any questions.
אינדיקטור Pine Script®
מאת ‎HenriqueCentieiro‎
25
Enio_SPX_Accumulation/DistributionThis indicator handles the same inputs used for classic Accumulation and Distribution indicators, but performs the calculations in a different way. This indicator is used to compare the positive volume (up volume) and the number of advancing stocks against the negative volume (down volume) and the number of declining stocks. This indicator only measures SPX market breadth (Advancing issues, Declining issues) and SPX volume (Up and down volume)so it is for use only with SPX, SPY or MES. It can also be used with ES, but data outside of regular trading hours is not provided, the indicator in those cases will print a block of the same height and same color as the last RTH bar. When the histogram is positive or green, the bars change to a lighter color if the current bar is less than the average of the last 3 bars. A continued set of bars with a lighter color could mean that the trend is about to change. When the histogram is negative or red, the bars change to a lighter color if the current bar is greater than the average of the last 3 bars. A continued set of bars with a lighter color could mean that the trend is about to change. When the histogram height is low, could signal a choppy market (SPX). The histogram can help indicate a trending market when the opening trend is maintained and the color of the bars does not change, for example, a solid green increasing histogram can indicate a bullish trending market, while a solid red decreasing histogram will indicate a strong bearish trend. In intraday trading the indicator can signal if the SPX price changes are supported by volume and market breadth and also allows you to see when these changes or trend are weakening. The change from green (positive) to red (negative) and vice versa should not be taken alone as a buy/sell signal but as a confirmation of signals from other indicators you trust. Due to the great specific weight that some stocks have within the SPX price calculation, the divergences of this indicator with SPX, can be taken as warning signals, but should not become an element of trading decisions. . You could see a negative histogram while SPX is positive and vice versa.
אינדיקטור Pine Script®
מאת ‎Point-Blank-Trading‎
2
Combined EMA Technical AnalysisThis script is written in Pine Script (version 5) for TradingView and creates a comprehensive technical analysis indicator called "Combined EMA Technical Analysis." It overlays multiple technical indicators on a price chart, including Exponential Moving Averages (EMAs), VWAP, MACD, PSAR, RSI, Bollinger Bands, ADX, and external data from the S&P 500 (SPX) and VIX indices. The script also provides visual cues through colors, shapes, and a customizable table to help traders interpret market conditions. Here’s a breakdown of the script: --- ### **1. Purpose** - The script combines several popular technical indicators to analyze price trends, momentum, volatility, and market sentiment. - It uses color coding (green for bullish, red for bearish, gray/white for neutral) and a table to display key information. --- ### **2. Custom Colors** - Defines custom RGB colors for bullish (`customGreen`), bearish (`customRed`), and neutral (`neutralGray`) signals to enhance visual clarity. --- ### **3. User Inputs** - **EMA Colors**: Users can customize the colors of five EMAs (8, 20, 9, 21, 50 periods). - **MACD Settings**: Adjustable short length (12), long length (26), and signal length (9). - **RSI Settings**: Adjustable length (14). - **Bollinger Bands Settings**: Length (20), multiplier (2), and proximity threshold (0.1% of band width). - **ADX Settings**: Adjustable length (14). - **Table Settings**: Position (e.g., "Bottom Right") and text size (e.g., "Small"). --- ### **4. Indicator Calculations** #### **Exponential Moving Averages (EMAs)** - Calculates five EMAs: 8, 20, 9, 21, and 50 periods based on the closing price. - Used to identify short-term and long-term trends. #### **Volume Weighted Average Price (VWAP)** - Resets daily and calculates the average price weighted by volume. - Color-coded: green if price > VWAP (bullish), red if price < VWAP (bearish), white if neutral. #### **MACD (Moving Average Convergence Divergence)** - Uses short (12) and long (26) EMAs to compute the MACD line, with a 9-period signal line. - Displays "Bullish" (green) if MACD > signal, "Bearish" (red) if MACD < signal. #### **Parabolic SAR (PSAR)** - Calculated with acceleration factors (start: 0.02, increment: 0.02, max: 0.2). - Indicates trend direction: green if price > PSAR (bullish), red if price < PSAR (bearish). #### **Relative Strength Index (RSI)** - Measures momentum over 14 periods. - Highlighted in green if > 70 (overbought), red if < 30 (oversold), white otherwise. #### **Bollinger Bands (BB)** - Uses a 20-period SMA with a 2-standard-deviation multiplier. - Color-coded based on price position: - Green: Above upper band or close to it. - Red: Below lower band or close to it. - Gray: Neutral (within bands). #### **Average Directional Index (ADX)** - Manually calculates ADX to measure trend strength: - Strong trend: ADX > 25. - Very strong trend: ADX > 50. - Direction: Bullish if +DI > -DI, bearish if -DI > +DI. #### **EMA Crosses** - Detects bullish (crossover) and bearish (crossunder) events for: - EMA 9 vs. EMA 21. - EMA 8 vs. EMA 20. - Visualized with green (bullish) or red (bearish) circles. #### **SPX and VIX Data** - Fetches daily closing prices for the S&P 500 (SPX) and VIX (volatility index). - SPX trend: Bullish if EMA 9 > EMA 21, bearish if EMA 9 < EMA 21. - VIX levels: High (> 25, fear), Low (< 15, stability). - VIX color: Green if SPX bullish and VIX low, red if SPX bearish and VIX high, white otherwise. --- ### **5. Visual Outputs** #### **Plots** - EMAs, VWAP, and PSAR are plotted on the chart with their respective colors. - EMA crosses are marked with circles (green for bullish, red for bearish). #### **Table** - Displays a summary of indicators in a customizable position and size. - Indicators shown (if enabled): - EMA 8/20, 9/21, 50: Green dot if bullish, red if bearish. - VWAP: Green if price > VWAP, red if price < VWAP. - MACD: Green if bullish, red if bearish. - MACD Zero: Green if MACD > 0, red if MACD < 0. - PSAR: Green if price > PSAR, red if price < PSAR. - ADX: Arrows for very strong trends (↑/↓), dots for weaker trends, colored by direction. - Bollinger Bands: Arrows (↑/↓) or dots based on price position. - RSI: Numeric value, colored by overbought/oversold levels. - VIX: Numeric value, colored based on SPX trend and VIX level. --- ### **6. Alerts** - Triggers alerts for EMA 8/20 crosses: - Bullish: "EMA 8/20 Bullish Cross on Candle Close!" - Bearish: "EMA 8/20 Bearish Cross on Candle Close!" --- ### **7. Key Features** - **Flexibility**: Users can toggle indicators on/off in the table and adjust parameters. - **Visual Clarity**: Consistent use of green (bullish), red (bearish), and neutral colors. - **Comprehensive**: Combines trend, momentum, volatility, and market sentiment indicators. --- ### **How to Use** 1. Add the script to TradingView. 2. Customize inputs (colors, lengths, table position) as needed. 3. Interpret the chart and table: - Green signals suggest bullish conditions. - Red signals suggest bearish conditions. - Neutral signals indicate indecision or consolidation. 4. Set up alerts for EMA crosses to catch trend changes. This script is ideal for traders who want a multi-indicator dashboard to monitor price action and market conditions efficiently.
אינדיקטור Pine Script®
מאת ‎skrillionaire1‎
CNN Fear and Greed Index JD modified from minusminusCNN Fear and Greed Index - www.cnn.com Modified from minusminus - See Documentation from CNN's website CNN's Fear and Greed index is an attempt to quantitatively score the Fear and Greed in the SPX using 7 factors: Market Momentum- S&P 500 (SPX) and its 125-day moving average Stock Price Strength -Net new 52-week highs and lows on the NYSE Stock Price Breadth - McClellan Volume Summation Index Put and Call options - 5-day average put/call ratio Market Volatility - VIX and its 50-day moving average Safe Haven Demand - Difference in 20-day stock and bond returns Junk Bond Demand - Yield spread: junk bonds vs. investment grade Each Factor has a weight input for the final calculation initially set to a weight of 1. The final calculation of the index is a weighted average of each factor. 3 Factors have separate functions for calculation : See Code for Clarity SPX Momentum : difference between the Daily CBOE:SPX index value and it's 125 Day Simple moving average. Stock Price Strength : Net New 52-week highs and lows on the NYSE. Function calculates a measure of Net New 52-week highs by: NYSE 52-week highs (INDEX:MAHN) - all new NYSE Highs (INDEX:HIGH) measure of Net New 52-week lows by: NYSE 52-week lows (INDEX:MALN) - all new NYSE Lows (INDEX:LOWN) Then calculate a ratio of Net New 52-week Highs and Lows over Total Highs and Lows then takes a 5-day moving average of that ratio-See Code Stock Price Breadth is the McClellan Volume Summation Index : First Calculate the McClellan Oscillator Second Calculate the Summation Index 4 Factors are Straight data requests 5 Day Simple Moving Average of the Put-Call Ratio on SPY 50 Day Simple Moving Average of the SPX VIX Difference between 20 Day Simple Moving Average of SPX Daily Close and 20 Day Simple Moving Average of 10Y Constant Maturity US Treasury Note Yield Spread between ICE BofA US High Yield Index and ICE BofA US Investment Grade Corporate Yield Index The Fear and Greed Index is a weighted average of these factors - which is then normalized to scale from 0 to 100 using the past 25 values - length parameter. 3 Zones are Shaded: Red for Extreme Fear, Grey for normal jitters, Green for Extreme Greed. Disclaimer: This is not financial advice. These are just my ideas, and I am not an investment advisor or investment professional. This code is for informational purposes only and do your own analysis before making any investment decisions. This is an attempt to replicate in spirt an index CNN publishes on their website and in no way shape or form infringes on their content, calculations or proprietary information. From CNN: www.cnn.com FEAR & GREED INDEX FAQs What is the CNN Business Fear & Greed Index? The Fear & Greed Index is a way to gauge stock market movements and whether stocks are fairly priced. The theory is based on the logic that excessive fear tends to drive down share prices, and too much greed tends to have the opposite effect. How is Fear & Greed Calculated? The Fear & Greed Index is a compilation of seven different indicators that measure some aspect of stock market behavior. They are market momentum, stock price strength, stock price breadth, put and call options, junk bond demand, market volatility, and safe haven demand. The index tracks how much these individual indicators deviate from their averages compared to how much they normally diverge. The index gives each indicator equal weighting in calculating a score from 0 to 100, with 100 representing maximum greediness and 0 signaling maximum fear. How often is the Fear & Greed Index calculated? Every component and the Index are calculated as soon as new data becomes available. How to use Fear & Greed Index? The Fear & Greed Index is used to gauge the mood of the market. Many investors are emotional and reactionary, and fear and greed sentiment indicators can alert investors to their own emotions and biases that can influence their decisions. When combined with fundamentals and other analytical tools, the Index can be a helpful way to assess market sentiment.
אינדיקטור Pine Script®
מאת ‎JohnDonahue‎
2
Rule Of 20 - Fair Value Estimation by Inflation & Earnings (TG)The Rule Of 20 is a heuristic calculation to find the fair value of an asset or market given its earnings and current inflation. Its calculation is straightforward: the fair multiple of the price or price-to-earnings ratio of a stock should be 20 minus the rate of inflation. In math terms: fair_price-to-earnings_ratio = (20 - inflation) ; fair_value = current_price * fair_price-to-earnings_ratio / real_price-to-earnings_ratio For example, if a stock or index was trading on 11 times earnings and inflation was 2%, then the theory would be that the fair price-to-earnings ratio would be 20-2 = 18, which is much higher than the real price-to-earnings ratio of 11, and hence the asset would be undervalued. Conversely, a market or company that was trading on 18 times price-to-earnings ration when inflation was 8% was seen as overvalued, because of the fair price-to-earnings ratio being 20-8=12, hence much lower than the real price-to-earnings ratio of 18. We can then project the delta between the fair PE and real PE onto the asset's value to obtain the projected fair value, which may be a target of future value the asset may reach or hover around. For example, as of 1st November 2022, SPX stood at 3871.97, with a PE ratio of 20.14 and an inflation in the US of 7.70. Using the Rule Of 20, we find that the fair PE ratio is 20-7.7=12.3, which is much lower than the current PE ratio of 20.14 by 39%! This may indicate a future possibility of a further downside risk by 39% from current valuation levels. The origins of this rule are unknown, although the legendary US fund manager Peter Lynch is said to have been an active proponent when he was directing the Fidelity’s Magellan fund from 1977 to 1990. For more infos about the Rule Of 20, reading this article is recommended: www.sharesmagazine.co.uk This indicator implements the Rule Of 20 on any asset where the Financials are availble to TradingView, and also for the entire SP:SPX index as a way to assess the wider US stock market. Technically, the calculation is a bit different for the latter, as we cannot access earnings of SPX through Financials on TradingView, so we access it using the QUANDL:MULTPL/SP500_PE_RATIO_MONTH ticker instead. By default are displayed: current asset value in red fair asset value according to the Rule Of 20 in white for SPX, or different shades of purple/maroon for other assets. Note that for SPX there is only one calculation, whereas for other assets there are multiple different ways to calculate earnings, so different fair values can be computed. fair price-to-earnings ratio (PE ratio) in light grey. real price-to-earnings ratio in darker grey. This indicator can be used on SP:SPX ticker, and on most NASDAQ:* tickers, since they have Financials integrated in TradingView. Stocks tickers from other exchanges may not provide Financials data, so this indicator won't work then. If this happens, try to find the same ticker on NASDAQ instead. Note that by default, only the US stock market is considered. If you want to consider stocks or assets in other regions of the world, please change the inflation ticker to a ticker that reflect the target region's inflation. Also adding a table to ease interpretation was considered, but then the Timeframe MTF parameter would not work, and since the big advantage of this indicator is to allow for historical comparisons, the table was dropped. Enjoy, and keep in mind that all models are wrong, but some are useful. Trade safely! TG
אינדיקטור Pine Script®
מאת ‎tartigradia‎
1
Price Correction to fix data manipulation and mispricingPrice Correction corrects for index and security mispricing to the extent possible in TradingView on both daily and intraday charts. Price correction addresses mispricing issues for specific securities with known issues, or the user can build daily candles from intraday data instead of relying on exchange reported daily OHLC prices, which can include both legitimate special auction and off-exchange trades or illegitimate mispricing. The user can also detect daily OHLC prices that don’t reflect the intraday price action within a specified percent deviation. Price Correction functions as normal candles or bars for any time frame when correction is not needed. On the 4th of October 2022, the AMEX exchange, owned by the New York Stock Exchange, decided to misprice the daily OHLC data for the SPY, the world’s largest ETF fund. The exchange eliminated the overnight gap that should have occurred in the daily chart that represents regular trading hours by showing a wick connecting near the close of the previous day. Neither the SPX, the SP500 cash index that the SPY ETF tracks, nor other SPX ETFs such as VOO or IVV show such a wick because significant price action at that level never occurred. The intraday SPY chart never shows the price drop below 372.31 that day, but there is a wick that extends to 366.57. On the 6th of October, they continued this practice of using a wick that connects with the close of the previous day to eliminate gaps in daily price action. The objective of this indicator is to fix such inconsistent mispricing practices in the SPY, NYA, and other indices or securities. Price Correction corrects for the daily mispricing in the SPY to agree with the price action that actually occurred in the SPX index it tracks, as well as the other SPX ETFs, by using intraday data. The chart below compares the Price Correction of the SPY (top) to the SPX (middle) and the original mispriced SPY (bottom) with incorrect wicks. Price correction (top) removes those incorrect wicks (bottom) to match the SPX (middle). The daily mispricing of the SPY follows after the successful deployment of the NYSE Composite Index mispricing, NYA, an index that represents all common stocks within the New York Stock Exchange, the largest exchange in the world. The importance of the NYA should not be understated. It is the price counterpart to NYSE’s market internals or statistics. Beginning in 2021, the New York Stock Exchange eliminated gaps in daily OHLC data for the NYA by using the close of the previous day as the open for the following day, in violation of their own NYSE Index Series Methodology. The Methodology states for the opening price that “The first index level is calculated and published around 09:30 ET, when the U.S. equity markets open for their regular trading session. The calculation of that level utilizes the most updated prices available at that moment.” You can verify for yourself that this is simply not the case. The first update of the NYA price for each day matches the close of the previous day, not the “most updated prices available at that moment”, causing data providers to often represent the first intraday bar with a huge sudden price change when an overnight price change occurred instead. For example, on 13 Jun 2022, TradingView shows a one-minute bar drop 2.3%. With a market capitalization of roughly 23 trillion dollars, the NYSE composite capitalization did not suddenly drop a half-trillion dollars in just one minute as the intraday chart data would have you believe. All major US indices, index ETFs, and even foreign indices like the Toronto TAX, the Australian ASXAL, the Bombay SENSEX, and German DAX had down gaps that day, except for the mispriced NYSE index. Price Correction corrects for this mispricing in daily OHLC data, as shown in the main chart at the top of this page comparing the original NYA (top) to the Price Corrected NYA (bottom). Price Correction also corrects for the intraday mispricing in the NYA. The chart below shows how the Price Correction (top) replaces the incorrect first one-minute candles with gaps (bottom) from 22 Sep 2022 to 29 Sep 2022. TradingView is inconsistent in how intraday data is reported for overnight gaps by sometimes connecting the first intraday bar of the day to the close of the previous day, and other times not. This inconsistency may be due to manually changing the intraday data based on user support tickets. For example, after reporting the lack of a major gap in the NYA daily OHLC prices that existed intraday for 13 Jun 2022, TradingView opted to remove the true gap in intraday prices by creating a 2.3% half-a-trillion-dollar one-minute bar that connected the close of the previous day to show a sudden drop in price that didn’t occur, instead of adding the gap in the daily OHLC data that actually took place from overnight price action. Price Correction allows users to detect daily OHLC data that does not reflect the intraday price action within a certain percent difference by changing the color of those candles or bars that deviate. The chart below clearly shows the start of the NYSE disinformation campaign for NYA that started in 2021 by painting blue those candles with daily OHLC values that deviated from the intraday values by 0.1%. Before 2021, the number of deviating candles is relatively sparse, but beginning in 2021, the chart is littered with deviating candles. If there are other index or security mispricing or data issues you are aware of that can be incorporated into Price Correction, please let me know. Accurate financial data is indispensable in making accurate financial decisions. Assert your right to accurate financial data by reporting incorrect data and mispricing issues. How to use the Price Correction Simply add this “indicator” to your chart and remove the mispriced default candles or bars by right clicking on the chart, selecting Settings, and de-selecting Body, Wick, and Border under the Symbol tab. The Presets settings automatically takes care of mispricing in the NYA and SPY to the extent possible in TradingView. The user can also build their own daily candles based off of intraday data to address other securities that may have mispricing issues.
אינדיקטור Pine Script®
מאת ‎Techotomy‎
5
Option Levels KiKOption Levels KiK - Automatic Options Levels Converter This indicator automatically converts SPX options levels to ES futures prices in real-time. KEY FEATURES: - Automatic conversion from any index (SPX, NDX, etc.) to its corresponding futures contract (ES, NQ, etc.) - Two conversion modes: Ratio or Spread - Automatic reference price capture at user-defined time (default 15:30 Paris time) - Displays key options levels: Gamma Flip, Forward, C50, C70, P50, P70 CONVERSION METHODS: - Ratio Mode: Future Level = Index Level × (ES Reference / SPX Reference) - Spread Mode: Future Level = Index Level + (ES Reference - SPX Reference) CUSTOMIZATION: - Enable/disable individual levels - Fully customizable colors, line styles, and widths - Labels displayed on the right side of the chart - Reference time automatically converts from Paris timezone to US market time USAGE: 1. Enter your options levels for the index (e.g., SPX) 2. The indicator automatically converts them to futures levels (e.g., ES) 3. Monitor the conversion info table in the top-right corner Perfect for options traders who need to track index levels on futures charts!
אינדיקטור Pine Script®
מאת ‎Jerem_KiK‎
ORB + Expected Move + Trade Bias RWCORB + Expected Move + Trade Bias v3 Overview A comprehensive 0DTE SPX options trading indicator designed to identify optimal credit spread and iron condor setups based on Opening Range Breakout (ORB) analysis, Expected Move calculations, VWAP dynamics, and multi-factor confidence scoring. The indicator provides specific strike suggestions, real-time position management signals, and exit warnings. Who This Is For This indicator is built for traders who sell 0DTE SPX credit spreads (put spreads, call spreads, or iron condors) and want a systematic, data-driven approach to: Determine trade direction (bullish, bearish, or neutral) Select appropriate strikes based on market conditions Manage positions with clear exit signals Core Components 1. Opening Range Breakout (ORB) The ORB establishes the initial trading range after market open, serving as the foundation for trade bias determination. Settings: ORB Period: Choose 15, 30, 45, or 60 minutes Shorter periods (15-30 min) = more signals, more noise Longer periods (45-60 min) = fewer signals, more reliable ranges ORB Breakout Buffer %: Percentage buffer beyond ORB high/low before confirming breakout (default 0.1%) Colors: Customize ORB high (green), low (red), and fill colors How It Works: Tracks the high and low during the ORB period After ORB completes, monitors for breakouts above/below with buffer Counts consecutive bars above/below ORB for confirmation 2. Expected Move (EM) Calculates the statistically expected daily range based on Average True Range (ATR). Settings: ATR Length: Lookback period for ATR calculation (default 14) ATR Multiplier: Scale the expected move (default 1.0) Colors: Customize expected move lines and fill How It Works: Pulls daily ATR from the previous session Projects expected move boundaries from session open Used for strike distance calculations and range containment analysis 3. VWAP Analysis Volume Weighted Average Price with standard deviation bands provides trend confirmation and stretch detection. Settings: Show VWAP: Toggle VWAP line visibility Show VWAP StdDev Bands: Toggle ±1 standard deviation bands VWAP Band Multiplier: Adjust band width (default 1.0) VWAP Slope Lookback: Bars to measure VWAP slope (default 10) Key Metrics: VWAP Slope: Normalized slope indicating trend strength Strong Up (↑↑): > 0.5 Up (↑): 0.3 to 0.5 Flat (—): -0.3 to 0.3 Down (↓): -0.5 to -0.3 Strong Down (↓↓): < -0.5 Stretched Detection: Warns when price is >1.5 standard deviations from VWAP 4. Prior Day Levels (PDH/PDL) Yesterday's high and low serve as key support/resistance levels where institutional orders often cluster. Settings: Show Prior Day High/Low: Toggle PDH/PDL lines Show Prior Day Close: Optional PDC line Colors: Customize PDH (teal), PDL (orange), PDC (gray) Why It Matters: Price above PDH = strong bullish continuation signal Price below PDL = strong bearish continuation signal Price between PDH/PDL = range-bound, favors iron condors Strikes are adjusted to respect these levels as potential support/resistance Trade Signal System Signal Time Settings: Signal Time (ET): Choose when the indicator evaluates and locks in the trade signal 1100 = 8:00 AM PT / 11:00 AM ET 1115 = 8:15 AM PT / 11:15 AM ET (default) 1130 = 8:30 AM PT / 11:30 AM ET 1145 = 8:45 AM PT / 11:45 AM ET 1200 = 9:00 AM PT / 12:00 PM ET Recommendation: Later signal times (8:30-9:00 AM PT) provide more data and reduce morning fakeout signals, but leave less time for theta decay. Confidence Scoring (9 Factors) The indicator calculates three scores: Iron Condor (IC), Bullish, and Bearish. The highest score determines the signal. Factor 1: Price Position vs ORB (max 40 pts) Inside ORB → +35-40 IC points Above ORB (confirmed breakout) → +40 Bull points Below ORB (confirmed breakout) → +40 Bear points Factor 2: VWAP Slope (max 30 pts) Flat slope → +25 IC points Strong positive slope → +30 Bull points Strong negative slope → +30 Bear points Factor 3: Price vs VWAP Position (max 20 pts) Above upper band → +20 Bull points Below lower band → +20 Bear points Near VWAP → +12 IC points Factor 4: VWAP Consistency (max 15 pts) 70%+ bars above VWAP → +15 Bull points 70%+ bars below VWAP → +15 Bear points Mixed → +10 IC points Factor 5: Move from Open (max 20 pts) 30% of EM up → +20 Bull points 30% of EM down → +20 Bear points <12% move either way → +15 IC points Factor 6: Trend Structure (max 15 pts) Higher highs + higher lows → +15 Bull points Lower lows + lower highs → +15 Bear points No clear structure → +8 IC points Factor 7: Day Range Containment (max 15 pts) Range <35% of EM → +15 IC points Range <50% of EM → +8 IC points Range >65% of EM → Points to directional score Factor 8: Gap Behavior (max 12 pts) Gap up, unfilled, above ORB → +12 Bull points Gap down, unfilled, below ORB → +12 Bear points Gap filled, inside ORB → +8 IC points Factor 9: Prior Day High/Low (max 20 pts) Above PDH → +20 Bull points Below PDL → +20 Bear points Between PDH/PDL → +15-20 IC points Alignment Bonuses (max 25 pts) Additional points when multiple factors align in the same direction. Signal Types SignalMeaningTradeIRON CONDORRange-bound conditionsSell both put and call credit spreadsPUT SPREADBullish conditionsSell put credit spread onlyCALL SPREADBearish conditionsSell call credit spread onlyNO TRADEConflicting signals or low confidenceStay out Confidence Levels ConfidenceColorStrike Mode75%+Green🍆 AGGRESSIVE (tighter strikes, more premium)60-75%Lime/Yellow🌶️ NORMAL (balanced strikes)45-60%Yellow/Orange🐢 CONSERVATIVE (wider strikes, safer)<45%Orange/RedNO TRADE triggered Strike Suggestions Base Calculation For Iron Condors: Strikes are calculated from current price at signal time as the midpoint, ensuring symmetric risk on both sides. For Directional Spreads: Strikes are calculated from session open, betting on continuation. Put Strike = Midpoint - (Expected Move × Distance) Call Strike = Midpoint + (Expected Move × Distance) Distance Settings: High Confidence (75%+): 0.60 EM (default) - Tighter strikes, more premium Mid Confidence (60-75%): 0.70 EM (default) - Balanced Low Confidence (<60%): 0.80 EM (default) - Wider strikes, safer Skew Adjustments When Auto-Adjust for Skew is enabled, strikes are asymmetrically adjusted based on: VIX Level: VIX > 20: Puts pushed wider (-0.05), Calls pulled tighter (+0.05) VIX < 15: Opposite adjustment 2-Day Momentum: Strong down move: Puts pushed wider Strong up move: Calls pushed wider Prior Day Levels: Below PDL: Puts pushed wider (more downside protection) Above PDH: Calls pushed wider (more upside protection) PDH/PDL Strike Reference If the calculated strike is too close to PDH or PDL, the indicator adjusts to place strikes 10 points beyond these key levels (maximum 20 point adjustment). Exit Signal System Three-Stage Warning System Stage 1: EARLY ⚠️ (Yellow) Trigger: Price moves against position with: Below VWAP AND in lower fib zones (for put spreads/IC downside) Above VWAP AND in upper fib zones (for call spreads/IC upside) Action: Heightened awareness. Consider reducing position or tightening mental stops. Note: Only fires once per direction per day to avoid alert fatigue. Stage 2: CAUTION (Orange) Trigger: 2+ consecutive bars beyond ORB Price has traveled 25%+ of the distance to short strike Action: Actively manage position. Prepare to exit. Stage 3: EXIT (Red) Trigger: 3+ consecutive bars beyond ORB (configurable) Price has traveled 40%+ of the distance to short strike VWAP slope confirms the move (if enabled) Action: Close position immediately. Exit Settings Exit Confirmation Bars: Consecutive bars required for EXIT signal (default 3) CAUTION Distance %: How far toward strike before CAUTION (default 25%) EXIT Distance %: How far toward strike before EXIT (default 40%) Require VWAP Confirmation: EXIT only fires if VWAP slope confirms direction Fibonacci Retracement Levels After signal fires, fib levels are drawn between key price points: For Iron Condors: 0% = Put Strike 100% = Call Strike For Put Spreads: 0% = Put Strike (danger zone) 100% = Day High at signal For Call Spreads: 0% = Day Low at signal 100% = Call Strike (danger zone) Fib Levels Shown: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100% Fib Zone Tracking: The left table shows current fib zone, color-coded: Red: Near strikes (danger) Orange: Approaching strikes Green: Safe middle zones Information Tables Left Table (Position Management) RowDescriptionSIGNALCurrent trade signal with confidence colorConfConfidence percentageEXITCurrent exit status (HOLD/EARLY/CAUTION/EXIT)Fib ZoneCurrent price position in fib structurePDHPrior day high valuePDLPrior day low valuevs PDPosition relative to prior day rangeModeStrike mode (🍆/🌶️/🐢)PutSuggested short put strikeCallSuggested short call strikeCall Dist% distance traveled toward call strikePut Dist% distance traveled toward put strike Right Table (Market Factors) RowDescriptionStructureOverall market structure (BULLISH/BEARISH/RANGE/MIXED)PricePosition relative to ORBVWAPVWAP slope direction and strengthStretchedWarning if price extended from VWAPMoveCurrent move from open as % of EMEM UsedDay range as % of expected moveGapGap status (up/down, filled/unfilled)ReversalV-top or V-bottom detectionConflictAny conflicting signals detectedVIXCurrent VIX levelSkewMomentum-based skew direction Alerts The indicator includes pre-configured alerts: AlertDescriptionEntry: Iron CondorIC signal firedEntry: Put SpreadBullish signal firedEntry: Call SpreadBearish signal firedHigh Confidence EntryAny signal with 75%+ confidenceNo TradeNO TRADE signal firedEARLY WARNINGEarly warning triggeredCAUTIONPosition under pressureEXIT NOWExit signal triggered Recommended Settings Conservative (New Traders) ORB Period: 60 minutes Signal Time: 1130 (8:30 AM PT) Min Confidence: 50% Strike Distances: 0.65 / 0.75 / 0.85 Balanced (Default) ORB Period: 30-45 minutes Signal Time: 1115 (8:15 AM PT) Min Confidence: 45% Strike Distances: 0.60 / 0.70 / 0.80 Aggressive (Experienced) ORB Period: 30 minutes Signal Time: 1100 (8:00 AM PT) Min Confidence: 40% Strike Distances: 0.55 / 0.65 / 0.75 Important Notes This indicator does not guarantee profits. It provides a systematic framework for trade selection and management. Paper trade first. Test the indicator on historical data and paper trade before using real capital. Position sizing matters. Never risk more than you can afford to lose on any single trade. Exits are suggestions. Use the exit signals as guidance, but always apply your own judgment. Market conditions vary. The indicator performs best in normal volatility environments. Use extra caution during major news events, FOMC days, and earnings season. SPX/SPY focused. While the indicator may work on other instruments, it was designed specifically for SPX 0DTE options trading. Version History v3.0 Added 45/60 minute ORB options Added configurable signal time (8:00-9:00 AM PT) Added stretched detection (VWAP distance warning) Added Prior Day High/Low as scoring factor Iron Condor strikes now centered on current price (symmetric risk) Split table UI (left: position, right: factors) PDH/PDL reference for strike adjustments Credits Developed for the 0DTE SPX options trading community. Inspired by SMB Capital's ORB methodology, VWAP analysis techniques, and real-world credit spread trading experience. Disclaimer: This indicator is for educational and informational purposes only. It is not financial advice. Trading options involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
אינדיקטור Pine Script®
מאת ‎rcockrum‎
Kitty Strength vs Ticker w/ Custom MA [theUltimator5]This indicator is one of the Roaring Kitty indicators shown on his StockCharts page, as the GME: SP:SPX chart. This indicator calculates and displays the relative strength of the current ticker against a comparison ticker of your choice (SPX by default). It helps you identify outperformance and underperformance trends by visualizing the price ratio between two assets, as well as an added moving average of your choice (100 SMA by default) Key Features: Customizable comparison ticker (default: SPX) - compare against any index or ticker (SPY, QQQ, DIA, etc.) Multiple moving average types: SMA, EMA, WMA, HMA, VWMA, and RMA Adjustable moving average length for trend identification Clean visualization in a separate pane below the main chart How to Use: The blue line represents the current relative strength ratio (Current Ticker / Comparison Ticker). When the line is rising, the current ticker is outperforming the comparison ticker. When falling, it's underperforming. The silver line is the moving average of the relative strength, which helps smooth out noise and identify longer-term trends. Crossovers between the relative strength and its moving average can signal changes in relative performance. I added additional user configuration so you can customize it to your preferred style since SPX and SMA 100 are not suitable for all tickers and timeframes.
אינדיקטור Pine Script®
מאת ‎TheUltimator5‎
Options Chain Table [Enhanced]The primary purpose of this script is Unusual Options Activity (UOA) Detection.Identifying "Whales": Traders use it to spot when large institutions or "smart money" are aggressively buying Calls (betting price goes up) or Puts (betting price goes down).Contextualizing Volume: Instead of just showing raw volume (e.g., "10,000 contracts traded"), it calculates a Ratio. If the average volume is 1,000 and today's volume is 10,000, that is a 10x Spike, which is highly significant.0DTE & Short-Term Trading: It is optimized for analyzing the "Active Expiration" (often the current day for SPX/NDX), making it useful for 0DTE (Zero Days to Expiration) strategies.2. Key Features & VisualsThe script overlays a table on your chart with the following columns:ColumnDescriptionCall AvgThe historical average volume (Moving Average) for the Call option.Call RatioThe "Spike Factor." calculated as $ NSE:CURRENT Volume / Average Volume$$. High ratios turn Green.Call VolThe actual volume traded today for that Call strike.StrikeThe Strike Price of the option (e.g., 5800). The "At-The-Money" (ATM) strike is highlighted Blue.Put VolThe actual volume traded today for that Put strike.Put RatioThe "Spike Factor" for Puts. High ratios turn Red/Fuchsia.Put AvgThe historical average volume (Moving Average) for the Put option.3. How It Works (Technical Breakdown)This script uses advanced Pine Script techniques to bypass some of TradingView's limitations regarding options data.A. Dynamic Symbol ConstructionTradingView does not have a simple function to "get the option chain." This script manually constructs the ticker symbol for each option contract using the OPRA format:Format: OPRA:ROOT Example: OPRA:SPXW251226C5800 (SPX Weekly, Dec 26, 2025, Call, 5800 Strike).B. Tuple Fetching (Optimization)TradingView limits scripts to 40 request.security calls. To display 11 rows of data (which would normally require 44 calls: Call Vol, Call MA, Put Vol, Put MA per row), the script uses Tuple Fetching. It requests the Volume and the Moving Average in a single request, cutting the data usage in half and allowing the table to load faster without errors.C. Spike LogicIt calculates a moving average (EMA or SMA) of the volume over a set lookback period (default 20 bars).Medium Spike (M): Volume is > 2x the average.Large Spike (L): Volume is > 3.5x the average.Extreme Spike (E): Volume is > 5x the average.4. How to Use It (User Guide)To use this script effectively, you must configure the "Inputs" correctly, as it cannot always guess the correct expiration dates automatically.Add to Chart: Add the script to a chart (works best on indices like SPX, NDX, SPY, QQQ).Set the Center Price (Crucial):In the settings, look for "Manual Center Price".Input the current price of the asset (e.g., if SPX is at 5815, enter 5815).Why? The script generates strikes around this number. If you leave it 0, it might try to use the close price, which can be buggy during pre-market or if data is delayed.Set the Expiration (DTE):The script attempts to default to "Today," but for best results, manually enter the date in YYMMDD format in the "Manual DTE" field.Example: For December 26, 2025, enter 251226.Read the Alerts:The script allows you to set alerts in TradingView."Any Spike → CALL": Tells you a Call option just had a massive volume spike."Any Spike → PUT": Tells you a Put option just had a massive volume spike.5. Strategy ExampleA trader using this script might see the following scenario:Market: SPX is trading sideways at 5800.Signal: The table flashes a bright green cell on the 5850 Call with a ratio of "E 6.2x" (Extreme, 6.2 times normal volume).Interpretation: Someone is aggressively buying out-of-the-money Calls. The trader might interpret this as a bullish signal (Gamma exposure increasing at 5850) and enter a long position, expecting the price to be magnetized toward 5850.
אינדיקטור Pine Script®
מאת ‎Mr-Anubis‎
1
MenthorQ Levels ConversionLevels Conversion helps traders accurately overlay price levels from spot/index ETFs and indices (like SPX, SPY, QQQ, NDX) onto futures charts (like ES, NQ, etc.). Because futures and spot/index prices don’t trade at the same price, your levels will be misaligned if you plot them directly. Futures typically trade at a spread or ratio versus their related index/ETF. This indicator solves that by calculating the conversion ratio automatically, so your levels stay aligned on the futures chart. How it works This script calculates the ratio between Asset A and Asset B and applies it to convert levels from one instrument to the other (for example, SPX → ES, QQQ → NQ). Ratio options (3 modes) You can choose one of three ratio sources: ✅ T1 Ratio (Morning Snapshot) Select a specific time to “lock” the ratio. Default: 10:00 AM ET (morning session snapshot) ✅ T2 Ratio (Afternoon Snapshot) Select a second time to “lock” the ratio. Default: 3:30 PM ET (afternoon snapshot) ✅ Last Price Ratio (Live) Uses the last traded price of both assets to compute the ratio. Note: To refresh the “Last Price” baseline, simply remove and re-add the indicator. Learn more about Levels Conversions: menthorq.com Common levels conversions Some popular use-cases include: - SPX Gamma Levels → ES - SPY Gamma Levels → ES - QQQ Gamma Levels → NQ - NDX Gamma Levels → NQ - SPX Intraday Gamma Levels → ES - QQQ Intraday Gamma Levels → NQ - SPX Swing Trading Levels → ES - QQQ Swing Trading Levels → NQ - GLD Levels → GC - DIA Levels → YM - USO Levels → CL - NVDA / MAG7 Levels → QQQ
אינדיקטור Pine Script®
מאת ‎Menthor_Q_Research‎
2
Fabian Z-ScoreFabian Z-Score — % Distance & Z-Scores for SPX / DJI / XLU What it does This indicator measures how far three market proxies are from a moving average and standardizes those distances into z-scores so you can spot stretch/mean-reversion and relative out/under-performance. Universe: S&P 500 (SPX), Dow Jones (DJI) and Utilities (XLU). You can change any of these in Inputs. Anchor MA: user-selectable MA type (SMA/EMA/RMA/WMA/VWMA/HMA/LSMA/ALMA) and length (default 39; a popular weekly anchor). Outputs % from MA: 100 × (𝐶𝑙𝑜𝑠𝑒 − 𝑀𝐴) / 𝑀𝐴 Time-series Z: z-score of the last N % distances (default 39) → “how stretched vs its own history?” Cross-sectional Z: z-score of each % distance within the trio on this bar → “who’s strongest vs the others right now?” A compact mini table (top-right) shows the latest values for each symbol: % from MA, Z(ts) and Z(xsec). Panels & Visualization Toggle what you want to see in View: Plot % distance — raw % above/below the MA (0% line shown). Plot time-series Z — standardized stretch with ±Threshold guides (default ±2σ). Plot cross-sectional Z — relative z across SPX, DJI, XLU (0 = at the trio’s mean). Smoothing — optional light MA on the plotted series (set to 1 for none). A price-panel Moving Average is drawn with your chosen type/length for visual context. Colors: SPX = teal, DJI = orange, XLU = purple. Alerts Two built-in alert conditions (time-series Z only): “Z(ts) crosses up +Thr” — any of the three crosses above +Threshold. “Z(ts) crosses down -Thr” — any crosses below −Threshold. When enabled, the chart background tints faint green (up cross) or red (down cross) on those bars. How to use (ideas, not advice) On weekly charts, a 39-length MA/Z lookback often captures major risk-on/off swings. (Fabian Timing) Deep negative Z(ts) (e.g., ≤ −2σ or −3σ) frequently accompanies panic and mean-reversion setups. High positive Z(ts) suggests over-extension; watch for momentum fades. Cross-sectional Z helps rank leadership today: Z(xsec) > 0 → stronger than the trio’s mean this bar; Z(xsec) < 0 → weaker. Utilities (XLU) turning positive x-sec while the others are negative can hint at defensive rotation. If all 3 are above 0, go long, if below 0 go cash. Combine: look for extreme Z(ts) aligning with lead/lag Z(xsec) to time entries/exits or hedges. Inputs (quick reference) Symbols: SPX / DJI / XLU (editable). MA type & length: SMA, EMA, RMA, WMA, VWMA, HMA, LSMA, ALMA; default EMA(39). Z-score lookback (ts): default 39. Smoothing on plots: default 1 (off). Z threshold (±): default 2.0 (guide lines & alerts).
אינדיקטור Pine Script®
מאת ‎GabrielAmadeusLau‎