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ITG Scalper + Supertrend + VWAP (Minimal v6)IT USES TRIPE EMA ALONG WITH VWAP AND SUPERTREND AND ALSO //@version=5 indicator(title="ITG Scalper + Supertrend + VWAP (Minimal v6)", shorttitle="ITG_SUPER_VWAP_MIN", overlay=true) // === Inputs === temaLen = input.int(14, title="TEMA Period") showTEMA = input.bool(true, title="Show TEMA Line?") showSignals = input.bool(true, title="Show Buy/Sell Signals?") macdFast = input.int(12, title="MACD Fast") macdSlow = input.int(26, title="MACD Slow") macdSignal = input.int(9, title="MACD Signal") factor = input.float(3.0, title="Supertrend Factor") atrlen = input.int(10, title="Supertrend ATR") // === TEMA === ema1 = ta.ema(close, temaLen) ema2 = ta.ema(ema1, temaLen) ema3 = ta.ema(ema2, temaLen) tema = 3 * (ema1 - ema2) + ema3 trendUp = tema >= tema trendDown = tema < tema // === MACD === = ta.macd(close, macdFast, macdSlow, macdSignal) macdBuy = macdLine >= signalLine macdSell = macdLine < signalLine // === Supertrend === atr_ = ta.atr(atrlen) src = (high + low) / 2 upperBasic = src + factor * atr_ lowerBasic = src - factor * atr_ var float upperBand = na var float lowerBand = na var int superDir = na upperBand := na(upperBand ) ? upperBasic : close > upperBand ? math.max(upperBasic, upperBand ) : upperBasic lowerBand := na(lowerBand ) ? lowerBasic : close < lowerBand ? math.min(lowerBasic, lowerBand ) : lowerBasic superDir := na(superDir ) ? 1 : close > lowerBand ? 1 : close < upperBand ? -1 : superDir superBull = superDir == 1 superBear = superDir == -1 // === VWAP === vwapValue = ta.vwap // === Combo Logic (no duplicate signals) === var int lastSignal = na // 1 for Buy, -1 for Sell buyCond = trendUp and macdBuy and superBull and close > vwapValue sellCond = trendDown and macdSell and superBear and close < vwapValue newBuy = buyCond and (na(lastSignal) or lastSignal == -1) newSell = sellCond and (na(lastSignal) or lastSignal == 1) if newBuy lastSignal := 1 if newSell lastSignal := -1 // === Plotting === plot(showTEMA ? tema : na, color=trendUp ? color.lime : color.red, linewidth=2) plot(vwapValue, color=color.orange, linewidth=1) bgcolor(superBull ? color.new(color.green,90) : superBear ? color.new(color.red,90) : na) plotshape(showSignals and newBuy, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal") plotshape(showSignals and newSell, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
Pine Script® göstergesi
satwikvara9 tarafından
Impulse Zones | Flux Charts💎 GENERAL OVERVIEW Introducing our new Impulse Zones indicator, a powerful tool designed to identify significant price movements accompanied by strong volume, highlighting potential areas of support and resistance. These Impulse Zones can offer valuable insights into market momentum and potential reversal or continuation points. For more information about the process, please check the "HOW DOES IT WORK ?" section. Impulse Zones Features : Dynamic Zone Creation : Automatically identifies and plots potential supply and demand zones based on significant price impulses and volume spikes. Customizable Settings : Allows you to adjust the sensitivity of zone detection based on your trading style and market conditions. Retests and Breakouts : Clearly marks instances where price retests or breaks through established Impulse Zones, providing potential entry or exit signals. Alerts : You can set alerts for Bullish & Bearish Impulse Zone detection and their retests. 🚩 UNIQUENESS Our Impulse Zones indicator stands out by combining both price action (impulsive moves) and volume confirmation to define significant zones. Unlike simple support and resistance indicators, it emphasizes the strength behind price movements, potentially filtering out less significant levels. The inclusion of retest and breakout visuals directly on the chart provides immediate context for potential trading opportunities. The user can also set up alerts for freshly detected Impulse Zones & the retests of them. 📌 HOW DOES IT WORK ? The indicator identifies bars where the price range (high - low) is significantly larger than the average true range (ATR), indicating a strong price movement. The Size Sensitivity input allows you to control how large this impulse needs to be relative to the ATR. Simultaneously, it checks if the volume on the impulse bar is significantly higher than the average volume. The Volume Sensitivity input governs this threshold. When both the price impulse and volume confirmation criteria are met, an Impulse Zone is created in the corresponding direction. The high and low of the impulse bar define the initial boundaries of the zone. Zones are extended forward in time to remain relevant. The indicator manages the number of active zones to maintain chart clarity and can remove zones that haven't been touched for a specified period. The indicator monitors price action within and around established zones. A retest is identified when the price touches a zone and then moves away. A break occurs when the price closes beyond the invalidation point of a zone. Keep in mind that if "Show Historic Zones" setting is disabled, you will not see break labels as their zones will be removed from the chart. The detection of Impulse Zones are immediate signs of significant buying or selling pressure entering the market. These zones represent areas where a strong imbalance between buyers and sellers has led to a rapid price movement accompanied by high volume. Bullish Impulse Zones act as a possible future support zone, and Bearish Impulse Zones act as a possible future resistance zone. Retests of the zones suggest a strong potential movement in the corresponding direction. ⚙️ SETTINGS 1. General Configuration Show Historic Zones: If enabled, invalidated or expired Impulse Zones will remain visible on the chart. 2. Impulse Zones Invalidation Method: Determines which part of the candle (Wick or Close) is used to invalidate a zone break. Size Sensitivity: Controls the required size of the impulse bar relative to the ATR for a zone to be detected. Higher values may identify fewer, larger zones. Lower values may detect more, smaller zones. Volume Sensitivity: Controls the required volume of the impulse bar relative to the average volume for a zone to be detected. Higher values require more significant volume. Labels: Toggles the display of "IZ" labels on the identified zones. Retests: Enables the visual highlighting of retests on the zones. Breaks: Enables the visual highlighting of zone breaks.
Pine Script® göstergesi
fluxchart tarafından
PDHL + Current Day HL Tracker V1.1PDHL + Current Day HL Tracker — Release Notes Version: 1.1 Date: 2025-05-17 Summary This update improves the timing accuracy of the current day high/low (CDH/CDL) lines drawing logic by syncing it precisely to the chart’s exchange timezone, including automatic handling of daylight saving time (DST). This ensures the 30-minute post-open trigger fires exactly as expected in all time zones. Key Changes 30-Minute Trigger Accuracy: The current day high/low lines are now drawn exactly 30 minutes after the market open (e.g., 10:00 AM Eastern for US markets), regardless of the user’s location or DST. Behavior Preservation: Original behavior of prior day high/low (PDH/PDL) lines and their breach logic remain unchanged. Current day lines still appear either on breach or automatically after 30 minutes. Impact More reliable visualization of intraday support/resistance levels based on prior and current day price extremes. Avoids late or early drawing of current day lines due to timezone mismatches. Improves usability for traders operating in different time zones or during DST transitions. Notes No other functional or stylistic changes have been made. The indicator remains lightweight and easy to read on charts. Works on any symbol and timeframe supported by TradingView.
Pine Script® göstergesi
wjarrodreed tarafından
Price Action Forecast (ERJUANSTURK)█ Overview The Price Action Color Forecast Indicator, is an innovative trading tool that uses the power of historical price action and candlestick patterns to predict potential future market movements. By analyzing the colors of the candlesticks and identifying specific price action events, this indicator provides traders with valuable insights into future market behavior based on past performance. █ Calculations The Price Action Color Forecast Indicator systematically analyzes historical price action events based on the colors of the candlesticks. Upon identifying a current price action coloring event, the indicator searches through its past data to find similar patterns that have happened before. By examining these past events and their outcomes, the indicator projects potential future price movements, offering traders valuable insights into how the market might react to the current price action event. The indicator prioritizes the analysis of the most recent candlesticks before methodically progressing toward earlier data. This approach ensures that the generated candle forecast is based on the latest market dynamics. The core functionality of the Price Action Color Forecast Indicator: Analyzing historical price action events based on the colors of the candlesticks. Identifying similar events from the past that correspond to the current price action coloring event. Projecting potential future price action based on the outcomes of past similar events. █ Example In this example, we can see that the current price action pattern matches with a similar historical price action pattern that shares the same characteristics regarding candle coloring. The historical outcome is then projected into the future. This helps traders to understand how the past pattern evolved over time. █ How to use The indicator provides traders with valuable insights into how the market might react to the current price action event by examining similar historical patterns and projecting potential future price movements. █ Settings Candle series The candle lookback length refers to the number of bars, starting from the current one, that will be examined in order to find a similar event in the past. Forecast Candles Number of candles to project into the future. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® göstergesi
ERJUANS-TURK tarafından
Weekly ManipulationUnderstanding the "Weekly Manipulation" Indicator The "Weekly Manipulation" indicator is a powerful tool designed to identify false breakouts in the market—moments. Let me explain how it works in simple terms. What This Indicator Detects This indicator spots two specific market behaviors that often indicate manipulation: 1. Single-Day Manipulation (Red/Green Labels) This occurs when price briefly breaks through a significant daily level but fails to maintain the momentum: Bearish Manipulation (Red): Price pushes above the previous day's high, but then reverses and closes below that high. Bullish Manipulation (Green): Price drops below the previous day's low), but then reverses and closes above that low. 2. Two-Day Manipulation (Black Labels) This is a more complex version of the same pattern, but occurring over a 2-day period. These signals can indicate even stronger manipulation attempts and potentially more powerful reversals. Why This Matters for Your Trading By identifying these patterns, you can: - Avoid getting caught in false breakouts - Find potential entry points after the manipulation is complete - Understand when market action might not be genuine price discovery How to Use This Indicator 1. Look for Red Markers: These appear when price has attempted to break higher but failed. This often suggests bearish potential going forward. 2. Look for Green Markers: These appear when price has attempted to break lower but failed. This often suggests bullish potential going forward. 3. Pay Attention to Black Markers: These 2-day patterns can signal stronger reversals and might be worth giving extra weight in your analysis. The indicator labels these patterns clearly as "Manipulation" right on your chart, giving you an immediate visual cue when these potential setups occur.
Pine Script® göstergesi
fixedvalues tarafından
StoRsi# StoRSI Indicator: Combining RSI and Stochastic with multiTF ## Overview The StoRSI indicator combines Relative Strength Index (RSI) and Stochastic oscillators in a single view to provide powerful momentum and trend analysis. By displaying both indicators together with multi-timeframe analysis, it helps traders identify stronger signals when both indicators align. ## Key Components ### 1. RSI (Relative Strength Index) ### 2. Stochastic Oscillator ### 3. EMA (Exponential Moving Average) ### 4. Multi-Timeframe Analysis ## Visual Features - **Color-coded zones**: Highlights overbought/oversold areas - **Signal backgrounds**: Shows when both indicators align - **Multi-timeframe table**: Displays RSI, Stochastic, and trend across timeframes - **Customizable colors**: Allows full visual customization ## Signal Generation (some need to uncomment in code) The indicator generates several types of signals: 1. **RSI crosses**: When RSI crosses above/below overbought/oversold levels 2. **Stochastic crosses**: When Stochastic %K crosses above/below overbought/oversold levels 3. **Combined signals**: When both indicators show the same condition 4. **Trend alignment**: When multiple timeframes show the same trend direction ## Conclusion The StoRSI indicator provides a comprehensive view of market momentum by combining two powerful oscillators with multi-timeframe analysis. By looking for alignment between RSI and Stochastic across different timeframes, traders can identify stronger signals and filter out potential false moves. The visual design makes it easy to spot opportunities at a glance, while the customizable parameters allow adaptation to different markets and trading styles. For best results, use this indicator as part of a complete trading system that includes proper risk management, trend analysis, and confirmation from price action patterns.
Pine Script® göstergesi
kasapop56394 tarafından
1
EMA CCI SSL Buy Sell Signal [THANHCONG]📘 Full Description 🔍 Overview This indicator combines three key technical elements to generate trend-based buy/sell signals: EMA (Exponential Moving Averages), CCI (Commodity Channel Index), and the SSL Channel. 📊 Key Features: ✅ Multi-timeframe EMA alignment (8, 21, 89) to confirm trend direction ✅ CCI to detect short-term momentum shifts ✅ Higher Time Frame (HTF) SSL Channel integration for trend filtering ✅ Automatic HTF detection (Auto Mode) or manual timeframe selection ✅ On-chart visual signals with labels and clear color cues ✅ Signal info panel displaying real-time profit/loss percentage since entry ⚙️ Signal Logic Buy Signal: EMA 8 > EMA 21 > EMA 89 (strong uptrend) Turbo CCI > 50 (bullish momentum) Price crosses above HTF SSL upper band Sell Signal: EMA 8 < EMA 21 < EMA 89 (strong downtrend) Turbo CCI < -50 (bearish momentum) Price crosses below HTF SSL lower band 💡 Highlights: Early signals: Displayed immediately once conditions are met (no candle close required) Flexible HTF filtering (Auto/Manual option) Optimized for use on 15-minute to 4-hour or daily charts 📌 How to Use: Apply the indicator on charts from 15-minute timeframe and above Watch for "Buy Signal" or "Sell Signal" labels to appear on the chart Combine with your own analysis and trade management strategy Optional: backtest on historical data for confirmation ⚠️ Disclaimer (as per TradingView policy): This tool does not constitute financial advice or guarantee profits. Users should test thoroughly and manage risk appropriately. Past performance does not guarantee future results. This script is original and manually coded, inspired by well-known methods, without direct copying from any other public or private source. ✅ Author & License: Author: @ThanhCong_ License: Mozilla Public License 2.0 🙏 Thank you for using this indicator! If you find it helpful, feel free to leave a comment, share it with others, or follow me for future updates and tools. Happy and safe trading! 🚀📈..
Pine Script® göstergesi
ThanhCong_ tarafından
Redwire's ALMA Bands with Alerts This script is basically an extension of Redwire's Alma bands developed by (in.tradingview.com). A big thanks to him This is a script I like a lot as it has Alma bands based on Fibonacci numbers and price tends to respect these very often. All I have done with AI help is create a code with more Alma Fib MA's + Alarms incorporated, such that there is a trigger when a certain condition is met(for ex -price crossing Alma-55 or Alma 89) If the ALMA MA's are all inter-twined/criss-crossing each other, price tends to be range bound. If the ALMA bands are all neatly stacked up/down, it tends to indicate a breakout/breakdown Hope this is of help to fellow traders. Pls note that I am not a coder nor any analyst of any sort. Pls backtest and research accordingly before trading. Best wishes
Pine Script® göstergesi
raokartik27 tarafından
Chandelier Exit + EMA Filtered SignalsThis script is a powerful upgrade to the original Chandelier Exit by Alex Orekhov (everget), combining trend-following logic with higher-quality trade filtering. ✅ Key Features: Chandelier Exit logic with ATR-based stop levels Buy/Sell signals only when trend is confirmed: Buy: Price must be above EMA 13, 50, and 200 Sell: Price must be below EMA 13, 50, and 200 Candle highlighting: Green for Buy, Red for Sell Signal labels for visual clarity Toggle to show/hide EMAs Built-in alerts for: Buy signal Sell signal Trend direction change 🛠️ Inputs: ATR Period and Multiplier Toggle: Use Close Price for High/Low Calculation Toggle: Show/Hide Labels and State Highlight Toggle: Show/Hide EMA 13, 50, 200 Toggle: Await confirmed bar for alerts 🔔 Alerts Included: Chandelier Exit Buy Chandelier Exit Sell Direction Change (long to short or vice versa) 💡 How to Use: Use on trending assets (e.g., Gold, Indices, Crypto). Combine with support/resistance or session filters for optimal results. Enable alerts to be notified on trade setups. 📢 Credits: Based on the original Chandelier Exit script by everget. Enhancements by AP Capital for filtered signals and better visual feedback.
Pine Script® göstergesi
APCapitalTrading tarafından
Why EMA Isn't What You Think It IsMany new traders adopt the Exponential Moving Average (EMA) believing it's simply a "better Simple Moving Average (SMA)". This common misconception leads to fundamental misunderstandings about how EMA works and when to use it. EMA and SMA differ at their core. SMA use a window of finite number of data points, giving equal weight to each data point in the calculation period. This makes SMA a Finite Impulse Response (FIR) filter in signal processing terms. Remember that FIR means that "all that we need is the 'period' number of data points" to calculate the filter value. Anything beyond the given period is not relevant to FIR filters – much like how a security camera with 14-day storage automatically overwrites older footage, making last month's activity completely invisible regardless of how important it might have been. EMA, however, is an Infinite Impulse Response (IIR) filter. It uses ALL historical data, with each past price having a diminishing - but never zero - influence on the calculated value. This creates an EMA response that extends infinitely into the past—not just for the last N periods. IIR filters cannot be precise if we give them only a 'period' number of data to work on - they will be off-target significantly due to lack of context, like trying to understand Game of Thrones by watching only the final season and wondering why everyone's so upset about that dragon lady going full pyromaniac. If we only consider a number of data points equal to the EMA's period, we are capturing no more than 86.5% of the total weight of the EMA calculation. Relying on he period window alone (the warm-up period) will provide only 1 - (1 / e^2) weights, which is approximately 1−0.1353 = 0.8647 = 86.5%. That's like claiming you've read a book when you've skipped the first few chapters – technically, you got most of it, but you probably miss some crucial early context. ▶️ What is period in EMA used for? What does a period parameter really mean for EMA? When we select a 15-period EMA, we're not selecting a window of 15 data points as with an SMA. Instead, we are using that number to calculate a decay factor (α) that determines how quickly older data loses influence in EMA result. Every trader knows EMA calculation: α = 1 / (1+period) – or at least every trader claims to know this while secretly checking the formula when they need it. Thinking in terms of "period" seriously restricts EMA. The α parameter can be - should be! - any value between 0.0 and 1.0, offering infinite tuning possibilities of the indicator. When we limit ourselves to whole-number periods that we use in FIR indicators, we can only access a small subset of possible IIR calculations – it's like having access to the entire RGB color spectrum with 16.7 million possible colors but stubbornly sticking to the 8 basic crayons in a child's first art set because the coloring book only mentioned those by name. For example: Period 10 → alpha = 0.1818 Period 11 → alpha = 0.1667 What about wanting an alpha of 0.17, which might yield superior returns in your strategy that uses EMA? No whole-number period can provide this! Direct α parameterization offers more precision, much like how an analog tuner lets you find the perfect radio frequency while digital presets force you to choose only from predetermined stations, potentially missing the clearest signal sitting right between channels. Sidenote: the choice of α = 1 / (1+period) is just a convention from 1970s, probably started by J. Welles Wilder, who popularized the use of the 14-day EMA. It was designed to create an approximate equivalence between EMA and SMA over the same number of periods, even thought SMA needs a period window (as it is FIR filter) and EMA doesn't. In reality, the decay factor α in EMA should be allowed any valye between 0.0 and 1.0, not just some discrete values derived from an integer-based period! Algorithmic systems should find the best α decay for EMA directly, allowing the system to fine-tune at will and not through conversion of integer period to float α decay – though this might put a few traditionalist traders into early retirement. Well, to prevent that, most traditionalist implementations of EMA only use period and no alpha at all. Heaven forbid we disturb people who print their charts on paper, draw trendlines with rulers, and insist the market "feels different" since computers do algotrading! ▶️ Calculating EMAs Efficiently The standard textbook formula for EMA is: EMA = CurrentPrice × alpha + PreviousEMA × (1 - alpha) But did you know that a more efficient version exists, once you apply a tiny bit of high school algebra: EMA = alpha × (CurrentPrice - PreviousEMA) + PreviousEMA The first one requires three operations: 2 multiplications + 1 addition. The second one also requires three ops: 1 multiplication + 1 addition + 1 subtraction. That's pathetic, you say? Not worth implementing? In most computational models, multiplications cost much more than additions/subtractions – much like how ordering dessert costs more than asking for a water refill at restaurants. Relative CPU cost of float operations : Addition/Subtraction: ~1 cycle Multiplication: ~5 cycles (depending on precision and architecture) Now you see the difference? 2 * 5 + 1 = 11 against 5 + 1 + 1 = 7. That is ≈ 36.36% efficiency gain just by swapping formulas around! And making your high school math teacher proud enough to finally put your test on the refrigerator. ▶️ The Warmup Problem: how to start the EMA sequence right How do we calculate the first EMA value when there's no previous EMA available? Let's see some possible options used throughout the history: Start with zero : EMA(0) = 0. This creates stupidly large distortion until enough bars pass for the horrible effect to diminish – like starting a trading account with zero balance but backdating a year of missed trades, then watching your balance struggle to climb out of a phantom debt for months. Start with first price : EMA(0) = first price. This is better than starting with zero, but still causes initial distortion that will be extra-bad if the first price is an outlier – like forming your entire opinion of a stock based solely on its IPO day price, then wondering why your model is tanking for weeks afterward. Use SMA for warmup : This is the tradition from the pencil-and-paper era of technical analysis – when calculators were luxury items and "algorithmic trading" meant your broker had neat handwriting. We first calculate an SMA over the initial period, then kickstart the EMA with this average value. It's widely used due to tradition, not merit, creating a mathematical Frankenstein that uses an FIR filter (SMA) during the initial period before abruptly switching to an IIR filter (EMA). This methodology is so aesthetically offensive (abrupt kink on the transition from SMA to EMA) that charting platforms hide these early values entirely, pretending EMA simply doesn't exist until the warmup period passes – the technical analysis equivalent of sweeping dust under the rug. Use WMA for warmup : This one was never popular because it is harder to calculate with a pencil - compared to using simple SMA for warmup. Weighted Moving Average provides a much better approximation of a starting value as its linear descending profile is much closer to the EMA's decay profile. These methods all share one problem: they produce inaccurate initial values that traders often hide or discard, much like how hedge funds conveniently report awesome performance "since strategy inception" only after their disastrous first quarter has been surgically removed from the track record. ▶️ A Better Way to start EMA: Decaying compensation Think of it this way: An ideal EMA uses an infinite history of prices, but we only have data starting from a specific point. This creates a problem - our EMA starts with an incorrect assumption that all previous prices were all zero, all close, or all average – like trying to write someone's biography but only having information about their life since last Tuesday. But there is a better way. It requires more than high school math comprehension and is more computationally intensive, but is mathematically correct and numerically stable. This approach involves compensating calculated EMA values for the "phantom data" that would have existed before our first price point. Here's how phantom data compensation works: We start our normal EMA calculation: EMA_today = EMA_yesterday + α × (Price_today - EMA_yesterday) But we add a correction factor that adjusts for the missing history: Correction = 1 at the start Correction = Correction × (1-α) after each calculation We then apply this correction: True_EMA = Raw_EMA / (1-Correction) This correction factor starts at 1 (full compensation effect) and gets exponentially smaller with each new price bar. After enough data points, the correction becomes so small (i.e., below 0.0000000001) that we can stop applying it as it is no longer relevant. Let's see how this works in practice: For the first price bar: Raw_EMA = 0 Correction = 1 True_EMA = Price (since 0 ÷ (1-1) is undefined, we use the first price) For the second price bar: Raw_EMA = α × (Price_2 - 0) + 0 = α × Price_2 Correction = 1 × (1-α) = (1-α) True_EMA = α × Price_2 ÷ (1-(1-α)) = Price_2 For the third price bar: Raw_EMA updates using the standard formula Correction = (1-α) × (1-α) = (1-α)² True_EMA = Raw_EMA ÷ (1-(1-α)²) With each new price, the correction factor shrinks exponentially. After about -log₁₀(1e-10)/log₁₀(1-α) bars, the correction becomes negligible, and our EMA calculation matches what we would get if we had infinite historical data. This approach provides accurate EMA values from the very first calculation. There's no need to use SMA for warmup or discard early values before output converges - EMA is mathematically correct from first value, ready to party without the awkward warmup phase. Here is Pine Script 6 implementation of EMA that can take alpha parameter directly (or period if desired), returns valid values from the start, is resilient to dirty input values, uses decaying compensator instead of SMA, and uses the least amount of computational cycles possible. // Enhanced EMA function with proper initialization and efficient calculation ema(series float source, simple int period=0, simple float alpha=0)=> // Input validation - one of alpha or period must be provided if alpha<=0 and period<=0 runtime.error("Alpha or period must be provided") // Calculate alpha from period if alpha not directly specified float a = alpha > 0 ? alpha : 2.0 / math.max(period, 1) // Initialize variables for EMA calculation var float ema = na // Stores raw EMA value var float result = na // Stores final corrected EMA var float e = 1.0 // Decay compensation factor var bool warmup = true // Flag for warmup phase if not na(source) if na(ema) // First value case - initialize EMA to zero // (we'll correct this immediately with the compensation) ema := 0 result := source else // Standard EMA calculation (optimized formula) ema := a * (source - ema) + ema if warmup // During warmup phase, apply decay compensation e *= (1-a) // Update decay factor float c = 1.0 / (1.0 - e) // Calculate correction multiplier result := c * ema // Apply correction // Stop warmup phase when correction becomes negligible if e <= 1e-10 warmup := false else // After warmup, EMA operates without correction result := ema result // Return the properly compensated EMA value ▶️ CONCLUSION EMA isn't just a "better SMA"—it is a fundamentally different tool, like how a submarine differs from a sailboat – both float, but the similarities end there. EMA responds to inputs differently, weighs historical data differently, and requires different initialization techniques. By understanding these differences, traders can make more informed decisions about when and how to use EMA in trading strategies. And as EMA is embedded in so many other complex and compound indicators and strategies, if system uses tainted and inferior EMA calculatiomn, it is doing a disservice to all derivative indicators too – like building a skyscraper on a foundation of Jell-O. The next time you add an EMA to your chart, remember: you're not just looking at a "faster moving average." You're using an INFINITE IMPULSE RESPONSE filter that carries the echo of all previous price actions, properly weighted to help make better trading decisions. EMA done right might significantly improve the quality of all signals, strategies, and trades that rely on EMA somewhere deep in its algorithmic bowels – proving once again that math skills are indeed useful after high school, no matter what your guidance counselor told you.
Pine Script® göstergesi
mihakralj tarafından
Index Futures vs Cash ArbitrageThis indicator measures the statistical spread between major stock index futures and their corresponding cash indices (e.g., ES vs SPX, NQ vs NDX) using Z-score normalization. It automatically detects commonly traded index pairs (S&P 500, Nasdaq, Dow Jones, Russell 2000) and calculates a smoothed spread between futures and spot prices. A Z-score is then derived from this spread to highlight potential overpricing or underpricing conditions. Traders can use customizable thresholds to identify mean-reversion opportunities where the futures contract may be temporarily overvalued or undervalued relative to the index. The histogram highlights the direction of the Z-score (green = futures > index, red = futures < index), while built-in alerts notify users of key threshold breaches or zero-line crosses. This tool is designed for discretionary traders, pairs traders, or anyone exploring statistical arbitrage strategies between futures and spot markets. It is not a buy/sell signal by itself and should be used with additional confluence or risk management techniques.
Pine Script® göstergesi
Tradenometry tarafından
FibSync - DynamicFibSupportWhat is this indicator? FibSync – DynamicFibSupport overlays your chart with both static and dynamic Fibonacci retracement levels, making it easy to spot potential areas of support and resistance. Static Fibs: Calculated from the highest and lowest price over a user-defined lookback period. Dynamic Fibs: Calculated from the most recent swing high and swing low, automatically adapting as new swings form. How to use Add the indicator to your chart. Configure the settings: Static Fib Period: Sets the lookback window for static fib levels. Show Dynamic Fibonacci Levels: Toggle dynamic fibs on/off. Dynamic Fib Swing Search Window: How far back to search for valid swing highs/lows. Swing Strength (bars left/right): How many bars define a swing high/low (higher = stronger swing). Interpret the levels: Solid lines are static fibs. Transparent lines are dynamic fibs (if enabled). Colors match standard fib conventions (yellow = 0.236, red = 0.382, blue = 0.618, green = 0.786, gray = 0.5). Tips Static and dynamic fibs can overlap-this often highlights especially important support/resistance zones. Adjust the swing strength for your trading style: lower values for short-term, higher for long-term swings. Hide/show individual lines using the indicator’s style settings in TradingView. Trading Ideas (for higher timeframes and static fibs) Close above the blue line (0.618 static fib): This can be interpreted as a potential long (buy) signal, suggesting the market is breaking above a key resistance level. Close below the red line (0.382 static fib): This can be interpreted as a potential short (sell) signal, indicating the market is breaking below a key support level. Note: These signals are most meaningful on higher timeframes and when using the static fib lines. Always confirm with your own strategy and risk management.
Pine Script® göstergesi
mr_uponly tarafından
1
HiLo EMA Custom bandsHILo Ema custom bands This advanced technical indicator is a powerful variation of "HiLo Ema squeeze bands" that combines the best elements of Donchian channels and EMAs. It's specially designed to identify price squeezes before significant market moves while providing dynamic support/resistance levels and predictive price targets. Indicator Concept: The indicator initializes EMAs at each new high or low - the upper EMA tracks highs while the lower EMA tracks lows. It draws maximum of 6 custom bands based on percentage, fixed value or Atr Upper EM bands are drawn below uper ema, Lower EMA bands are drawn above lower ema Customizable Options: Ema length: 200 default Calculation type: Ema (Default), HILO Calculation type: Percent,Fixed Value, ATR Band Value: Percent/Value/ATR multiple This is value to use for calculation type Band Selection: Both,Upper,Lower Key Features: You can choose to draw either of one or both, the latter can be overwhelming initially but as you get used to it, it becomes a powerful tool. When both bands are selected, upper and lower bands provide provides dual references and intersections This creates a more trend-responsive alternative to traditional Donchian channels with clearly defined zones for trade planning. If you select percaentage, note that the calulation is based FROM the respective EMA bands. So bands from lower EMA band will appear narrower compared to the those drawn from upper EMA band Price targets or reversals: Look of alignment of lines and price. The current level of one order could align with that of previous level of a different order because often markets move in steps Settings Guide: Recommended Settings: Ema length: 200 Use one of the bands (not both) if using large length of say 1000 Calculation type: EMA HILO will draw donchian like bands, this is useful if you only want flat price levels. In a rising market use upper and vise versa Calculation type: percentage for indices : 5, for symbols 10 or higher based on symbol volatility Fixed value: about 10% of symbol value converted to value Atr: 2 ideally Perfect for swing traders and position traders looking for a more sophisticated volatility-based overlay that adapts to changing market conditions and provides predictive reversal levels. Note: This indicator works well across multiple timeframes but is especially effective on H4, Daily and Weekly charts for trend trading.
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