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Moving Averages

xKen-t Williams %R + EMA w/COT Bias GateWhat's original here This isn't a Williams %R repaint. Standard %R gives a level; this script converts it into a filtered, context-aware timing engine through four combined mechanisms: (1) exit-from-extreme triggers that fire when %R crosses back out of −80/−20 rather than when it reaches them, so signals mark the reversal instead of the ongoing move; (2) EMA-side confirmation that validates the exit against the 13-EMA; (3) a −50 regime filter that blocks counter-regime signals; and (4) a directional-bias gate that normalizes any external series you feed it (e.g. a COT commercial-net line) to a 0–100 position-in-range index and suppresses every signal that disagrees with that bias. The gate is the core idea — it makes the oscillator time entries only in a separately chosen direction, turning a reversal oscillator into a with-context pullback tool. A status table surfaces %R, its EMA, the regime, the active bias, the higher-timeframe read, and the last signal in one place. Overview A Williams %R momentum tool rebuilt around three ideas: it signals on the exit from an extreme rather than the touch, confirms that exit with the %R/EMA relationship, and can gate every signal by an external directional bias (such as Commitments of Traders positioning) so only signals agreeing with that bias are shown. This targets the two classic Williams %R weaknesses — catching falling knives at the band, and firing endless counter-trend reversals during strong trends. What it calculates - Williams %R (default 21): the standard oscillator (0 to −100) measuring where the close sits within the lookback's high-low range. - 13-EMA of %R: a smoothing/confirmation line. - Triggers: in "Band exit" mode a long fires when %R crosses back up through −80 (leaving oversold) and a short when it crosses back down through −20 (leaving overbought). In "EMA cross in zone" mode the trigger is %R crossing its EMA while in the lower/upper half. Either way, it marks the turn, not the extreme reading itself. - EMA confirmation (optional): requires %R on the trigger side of its EMA at signal time. Regime filter (optional): longs only when the %R EMA is above the −50 midline, shorts only when below. - COT Bias Gate: point the "COT source" input at any external series on the chart — e.g. a Commitments of Traders commercial-net or COT-index line. The script converts it to a 0–100 position-in-range index over a lookback; ≥80 is treated as bullish bias, ≤20 as bearish. With the gate on, longs show only in a bullish bias and shorts only in a bearish one; opposite-bias signals are suppressed. You can also set the bias manually or turn the gate off for standalone %R. - Divergence (optional): regular bull/bear divergence between price pivots and %R pivots. Higher-timeframe read (optional): shows a higher-timeframe %R value in the table for top-down context. How to use it 1. Add it on your entry timeframe (defaults: %R 21, EMA 13, band-exit, EMA confirmation on). 2. Set the bias — manually (Bullish/Bearish), or "Auto" pointed at a COT/context line, or Off. 3. Trade the markers: green up-triangle = confirmed long trigger, red down-triangle = confirmed short. Combine with your own levels and risk management. Notes and limitations - Divergence markers are drawn back at the confirmed pivot using an offset — they plot in the past and can repaint until the pivot forms. Treat them as context, not a standalone trigger. - The gate reads whatever series feeds the source input; on the default (Close) the "bias" is computed from price, not COT — point it at a real COT/context line for it to be meaningful. - The higher-timeframe read uses non-lookahead requests (no future data). - Analysis tool for timing within a chosen bias. It does not predict outcomes and is not financial advice.
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โดย KenTembe
SOL 200W MA Valuation Bands (v6 stable)This indicator maps SOL’s long-term valuation using the weekly 200-period moving average as the core anchor. It highlights key zones such as Very Cheap, Cheap, Fair Value, Expensive, and Very Expensive, helping traders assess whether SOL is trading at a discount or premium relative to its long-term trend. Designed for crypto market cycles, this tool is especially useful for identifying major accumulation and euphoria phases, supporting macro-driven entries, and putting price action into a broader valuation context. The transparent background bands and optional zone labels make it easy to visualize market extremes at a glance.
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โดย tismail84
GOLD 200W MA Valuation Bands (v6 stable)A comprehensive valuation tool that visualizes GOLD price levels relative to its 200-week moving average. This indicator helps traders identify overbought and oversold conditions across six distinct valuation zones. KEY FEATURES: • 200-Week Moving Average – The baseline for long-term trend analysis • Six Valuation Zones – Color-coded bands showing relative value levels Fire Sale (Below MA) Very Cheap (0-25% above MA) Cheap (25-50% above MA) Fair Value (50-75% above MA) Expensive (75-100% above MA) Very Expensive (100%+ above MA) • Adjustable Transparency – Customize zone opacity for better chart visibility • Zone Labels – Toggle on/off for cleaner charts • Price Labels – Right-aligned labels displaying exact price levels USE CASES: • Identify cyclical buying and selling opportunities • Gauge whether GOLD is historically overvalued or undervalued • Support long-term trading and investment decisions • Establish risk management levels based on valuation zones Perfect for swing traders, position traders, and investors analyzing GOLD's long-term value dynamics.
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โดย tismail84
GreenStar ATR & Trend Strength ScreenerGreenStar ATR & Trend Strength Screener Pine Screener filter script. No chart plots. Sorting a watchlist often mixes three different checks: 1) Daily trend structure (Minervini-style template rules) 2) ATR-normalized stretch from the 50-day MA 3) Session pace and distance from the low This script puts those in one scan. MM and xFrom50 come from a single daily data pull per symbol. RVAT and %from LoD run on the screener chart interval. Chg % and Chg Open % round out the daily bar. Why one script These seven columns are the ones I check every day before touching a name. One script puts all seven on the same row. Daily columns share one request.security call to stay inside Pine Screener's five-call limit. Columns MM (0 to 8) Minervini trend template score. One point per rule when true: 1) Close above 150 SMA and 200 SMA 2) 150 SMA above 200 SMA 3) 200 SMA rising vs 22 bars ago 4) 50 SMA above 150 and 200 5) Close above 50 SMA 6) At least 25% above 260-bar low 7) Within 25% of 260-bar high 8) Weighted price momentum composite above 70 Rule 8 uses a price-momentum composite, not an IBD RS rating. xFrom50 (signed decimal) Extension from the 50-day SMA in ATR multiples: % gain from 50 SMA = (close - 50 SMA) / 50 SMA x 100 ATR % = 14-day ATR / close x 100 xFrom50 = % gain / ATR % Positive = above the MA. Negative = below. ATR % 14-day ATR as percent of price. Denominator for xFrom50; also useful on its own for quiet vs volatile names. RVAT Relative Volume at Time (10 sessions, daily anchor). 1.0 = average pace for this clock time. Needs a 5-minute screener interval for intraday session math. %from LoD (integer) (close - session low) / 14-day ATR x 100 0.6 ATR above the low prints as 60. Filter less than 60 to stay near the low. Chg % : change vs prior daily close (forming bar on intraday runs). Chg Open % : change from today's open to current price. Pine Screener setup 1. Favorite the script in Indicators (required for the screener picker). 2. Open Pine Screener, pick a watchlist. 3. Add this script as a filter source. 4. Set interval to 5 minutes for RVAT and %from LoD. 5. Enable columns in the column picker, then sort or filter. Only columns from added filter scripts appear. Built-in screener filters cannot run in the same pass. When publishing, use a clean chart with no other scripts on it. This script will not show plots on the chart. Limitations No visible plots on a normal chart. RVAT and %from LoD need a 5-minute screener interval and an active session. Built-in screener filters cannot run in the same pass. Daily columns follow the forming daily bar on intraday runs. Filter examples MM ≥ 6 xFrom50 between 2 and 6 ATR % between 4 and 10 RVAT > 1.2 %from LoD < 60 Daily columns use the forming daily bar on intraday runs (lookahead_off, no repainting). If a column is missing, check the column picker first. Credits MM column: eight trend-template criteria adapted from Minervini Trend Template by yogy.frestarahmawan (Mozilla Public License 2.0). RVAT: TradingView ta.relativeVolume built-in library. Disclaimer Screening tool only. Not a signal, not financial advice. No entry or exit triggers. Past scan results do not predict future price action.
อินดิเคเตอร์
โดย FlyMe2
18
GreenStar ATR% Extension MonitorGreenStar ATR% Extension Monitor The GreenStar ATR% Extension Monitor answers two questions in one window: 1) How volatile is the name? (14-period ATR as a percent of price) 2) How far has price stretched from a moving average, in relation to historical data? Some names routinely stretch to 10-12x before mean-reverting. Others rarely clear 5x. Scroll back on a daily chart to see extension habits for that symbol. Why extension matters Dollar distance from a 50-day MA does not compare a $15 name to a $400 name. Dividing percent gain from the MA by ATR% provides a multiple of normal daily range. That is the blue xFromMA line. The green ATR% stepline shows the denominator: typical range relative to price. These are separate formulas on the same pane and timeline to show correlation. (It does not draw on the price chart.) Two plots with independent calculations ATR% (green stepline): 14-period ATR as a percent of price. Typical daily range relative to price level. xFromMA (blue line): how many ATR% units price sits above or below the MA. ATR% = ATR(14) / close x 100 xFromMA = ((close - MA) / MA x 100) / ATR% Zero on xFromMA means price is at the MA. A negative value indicates price is currently below the MA level. Reading the pane Both lines declining together often means the name is compressing toward the MA. Volatility and stretch easing at the same time. Both rising means it's expanding. Diverging slopes happen too. xFromMA climbing while ATR% falls can mean price drifting from the MA while day-to-day volatility cools. Read each line first, then note whether they agree. Note: The lines share a pane for context, not because they combine into a signal. A green/blue touch or cross is not a buy or sell event. Visible-range markers (optional) High, low, and mean for xFromMA are calculated from the visible bars on the chart. There is no fixed lookback period. They update on scroll or zoom, comparing current stretch to recent visible history. The mean is the average xFromMA over those visible bars, not the midpoint between high and low. Visible-range mean requires high/low lines enabled in the same settings group. Optional zero line (dotted): xFromMA = 0, full width of the pane. ATR% high/low bands exist too, off by default. Settings MA period (default 50) MA type (default SMA) ATR period (default 14) Line colors and widths (default: dark green ATR%, blue xFromMA) Zero line (default on) High/low bands, xFromMA (default on) Visible-range mean (default on) ATR% high/low bands (default off) Disclaimer Context tool only. Not a signal, not financial advice. No entry or exit triggers. Past extension habits do not predict future price action.
อินดิเคเตอร์
โดย FlyMe2
Moving Average Standard Deviation | NickJoanMoving Average Standard Deviation is a trend-following indicator built around a moving average and dynamic standard deviation bands. It identifies bullish and bearish conditions by comparing price against adaptive upper and lower bounds. How it works A moving average is calculated using the selected MA type and length. Standard deviation is applied to the moving average to create adaptive upper and lower bounds. When price closes above the upper bound, the script switches to bullish state. When price closes below the lower bound, the script switches to bearish state. If neither condition is met, the current state remains unchanged. Visual output The moving average is plotted directly on the chart. Upper and lower bounds define the current volatility range. Candle colors change according to the active bullish or bearish state. Alerts Long Signal triggers when the state turns bullish. Short Signal triggers when the state turns bearish.
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โดย Nick_Joan
Multi Talent Tool ProThis Multi Talent Tool Pro Is a comprehensive, all-in-one TradingView indicator designed to streamline your technical analysis by centralizing three critical trading components into one clean, professional interface. Key Features Multi-EMA Suite: Includes eight customizable Exponential Moving Averages (9, 15, 20, 25, 50, 100, 200, 400). You can toggle each one on/off, change colors, and adjust line thickness directly from the settings. Higher Timeframe (HTF) Dashboard: Provides a "Heads-Up" view of market structure by drawing the last three candles of a higher timeframe directly onto your current chart. It features a smart-tinted background that changes color based on the HTF trend (Bullish vs. Bearish) and includes a live countdown timer until the next HTF candle closes. Automated Pattern Recognition: Identifies high-probability reversal and indecision signals, specifically Bullish/Inverted Hammers, Dojis, and Engulfing Patterns. These are plotted as clean, professional labels directly on the chart for quick visual reference. Server-Side Alerts: Every feature is alert-enabled. You can set custom triggers for EMA crossovers, pattern detection, and HTF candle closures, ensuring you never miss a trade setup even when you aren't looking at the screen. Why It's a "Pro" Tool Instead of cluttering your chart with multiple indicators, this tool uses garbage collection logic to ensure your screen remains clean. The HTF drawings and pattern labels are calculated to be unobtrusive, allowing you to maintain focus on your primary trading strategy while having all necessary context at your fingertips. Quick Setup Guide Right Margin: For the HTF candles to display clearly, right-click your price scale > Settings > Canvas > set your Right Margin to 25 or more. Alerts: Access these by clicking the clock icon on the right sidebar. Select Multi Talent Tool Pro as the condition, and choose your preferred signal from the dropdown list. This tool is optimized for traders who demand high-level situational awareness without the distraction of a "busy" chart.
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โดย vikramastrader
Smart Ichimoku | GainzAlgoOverview Most Ichimoku indicators give you the same signal everyone else gets, a raw cloud cross with no filter, no context, and no target. This indicator rethinks the system from the ground up by combining a smoothed Ichimoku cloud with an inline logistic regression classifier that scores every cloud break in real time, then projects statistically-derived price targets the moment a confirmed signal fires. The result is a cleaner, higher conviction version of one of the most respected trend frameworks in technical analysis. The Foundation: Why Smooth the Ichimoku? Traditional Ichimoku uses simple high-low midpoints (Donchian midlines) for its Tenkan, Kijun, and Senkou components. This makes the cloud visually choppy and prone to false crosses on noisy, volatile instruments like crypto or high-beta equities. This indicator replaces all three components with Hull Moving Averages (HMA), which are designed to be simultaneously smooth and responsive, reducing lag without the whipsaw of standard smoothing. The cloud body itself becomes cleaner, the baseline is less noisy, and the cross events that trigger signals are more structurally meaningful. All default periods match classic Ichimoku settings (9 / 26 / 52 / 26 displacement) so the logic stays true to the original system, it's just rendered with better math underneath. The Signal: Logistic Regression Cloud Break Classifier Here's where this indicator separates itself. A cloud cross alone is not a signal, it's a candidate. What actually matters is whether the market conditions at the moment of the cross are consistent with a real, sustained breakout or breakdown. The classifier answers that question with a probability score. How it works At the exact bar where price exits the cloud body, four normalized features are computed and fed into a logistic regression model: 1. RSI (centered at 50, scaled by 25) Measures momentum. On a bearish break, is RSI already extended to the downside? On a bullish break, is it pointing up? RSI near 50 adds little conviction; RSI at 30 on a bear break adds a lot. 2. Stochastic Oscillator (centered at 50, scaled by 25) Short-term overbought/oversold confirmation. Works similarly to RSI but captures faster-cycle momentum, giving the model a second read on the same question. 3. Z-Score (price vs 20-bar mean, normalized by standard deviation) Measures how statistically extended price is relative to recent history. A cloud break accompanied by a Z-Score of -2 is much more meaningful than one at Z = -0.2. This feature effectively asks: "Is this break happening from an already-stretched position?" 4. Cloud Break Depth (normalized by ATR) How far did price close through the cloud boundary, relative to recent volatility? A close that barely clips the edge is very different from one that punches through by a full ATR. This is the most direct measure of breakout conviction. The Math Each feature is multiplied by a weight and summed into a single score (z). That score is passed through the sigmoid function: P = 1 / (1 + e^(-z)) This compresses the output to a probability between 0 and 1. If the probability clears the threshold (default 0.60), the break is confirmed and a signal fires. Below threshold, the cross is rejected — instead of being ignored, it's labeled with a risk tier so you can see exactly how close (or far) it came to confirming. The probability score is displayed as a small percentage label directly on the signal bar so you always know how strong the classifier rated that particular break. Self-Calibrating Weights — No Manual Tuning Unlike a typical multi-feature model, none of the four weights are set by hand. Each one is derived automatically from that feature's own rolling correlation with next-bar returns, recalculated continuously over a user-set lookback window (the "Self-Calibration Window," default 100 bars). In practice this means: if RSI has been a genuinely useful predictor of direction on this instrument and timeframe recently, its weight rises on its own. If Z-Score has been mostly noise in the current regime, its weight shrinks toward zero — automatically, without anyone touching a slider. This was a deliberate design choice. Letting people hand-tune regression weights invites a lot of well-intentioned guesswork that usually overfits to a handful of recent candles. By having the model score its own features based on demonstrated, rolling predictive power, the classifier adapts to changing market conditions instead of running on opinions baked in at setup time. Rejected Crosses: Risk-Tiered Labels Not every cloud cross clears the threshold, and that's the point. Rather than silently discarding rejected crosses, this indicator labels every one of them with a risk tier so you know exactly what the model saw and how close it came to confirming: Low Risk: Probability fell just short of the threshold (within 10 points below). A near-miss — the break had real conviction behind it, it simply didn't clear the bar. Moderate Risk: Probability landed meaningfully below threshold (10–25 points). A weaker break with mixed signals underneath it. High Risk: Probability came in far below threshold (25+ points). A break with little to no underlying conviction — most consistent with chop or noise. Each label shows its tier and the actual probability (e.g. "Low Risk ▼ 54%"), so nothing is a black box. A cluster of Low/Moderate Risk labels in one zone often signals a contested area that's likely to resolve into a real breakout once it's worked through — useful context even though no trade signal fired. These labels can be toggled off entirely in settings if you'd rather only see confirmed signals. The Targets: Mean, Median, Mode Once a confirmed break fires, three dashed horizontal target lines project from the signal bar. These are not arbitrary multiples, they are derived from the actual statistical distribution of bar-to-bar price moves over the lookback window. Mean (Yellow): The average absolute bar move over the lookback period, scaled by the target multiplier. This is the "expected" target under normal conditions. Median (Cyan): The 50th percentile of historical moves. Because move distributions are right-skewed (a few large moves pull the mean up), the median is typically more conservative than the mean and often a more realistic first target. Mode (Hot Pink): The most frequently occurring move size, derived by bucketing historical moves into ATR-width bins and finding the most populated bin. This represents what the market most commonly does — not what it averages, not the middle value, but the single most likely outcome based on observed frequency. Together, the three targets give you a realistic range rather than a single arbitrary level — grounded in what this instrument has actually done over the recent past. Bull and bear target sets are tracked independently, so a new bearish break won't erase an active bullish target set still in play, and vice versa. The Target Multiplier (default 3×) scales all three targets proportionally. Lower it for tighter, shorter-term targets; raise it for swing trades or higher-volatility instruments. Reading the Chart Green triangle (▲) below bar: Confirmed bullish cloud break. Price has exited the top of the cloud with sufficient classifier probability. Three upward target lines appear. Pink triangle (▼) above bar: Confirmed bearish cloud break. Price has exited the bottom of the cloud with sufficient classifier probability. Three downward target lines appear. Percentage label: The LR probability score for that break (e.g. "73%"). Higher is stronger. Risk-tiered label (amber/orange/red): A cloud cross that was rejected, with its tier and probability shown. Yellow dashed line: Mean target Cyan dashed line: Median target Hot pink dashed line: Mode target (thicker, as it represents the highest-frequency outcome) Settings Guide Smooth Ichimoku Tenkan / Kijun / Senkou Period: Standard Ichimoku periods. Default 9/26/52 follows the classic system. Shorter periods = more sensitive, more signals. Longer = slower, fewer but stronger signals. Displacement: How far forward the cloud is projected. Default 26. Break Classifier Self-Calibration Window: How many past bars the model uses to learn each feature's weight from its recent correlation with price moves. Shorter windows adapt faster to regime changes but can be noisier; longer windows are more stable but slower to react. Default 100. Break Probability Threshold: The minimum probability required to confirm a signal. Default 0.60. Raise toward 0.75+ for fewer, higher-conviction signals. Lower toward 0.50 to see more cloud breaks confirmed (effectively turns the filter off at 0.50). Targets Lookback (bars): How many bars of historical move data to use for the distribution calculation. Default 60. Longer lookback = more stable targets based on longer-term behavior. Shorter = more reactive to recent volatility. Target Multiplier: Scales all three target lines proportionally from the signal close. Default 3×. Adjust based on your timeframe and typical holding period. Risk Labels Show Risk Labels on Rejected Crosses: Toggles the Low/Moderate/High Risk labels on rejected cloud crosses. Off by default for a cleaner chart; turn on to see every cross the model evaluated, not just the confirmed ones. How to Use It As a trend confirmation tool: Use the cloud direction (cyan dominant = bullish structure, pink dominant = bearish) as your bias filter, and only trade signals that align with the cloud color. Bull signals below a cyan cloud, bear signals above a pink cloud. As a breakout entry trigger: Wait for price to consolidate inside or near the cloud, then take the confirmed break as an entry signal. The probability label tells you how much conviction the model has at that moment. Using rejected crosses as context: A string of Low Risk labels in a zone suggests the cloud is being tested seriously without quite breaking — often a precursor to a real move once the level finally gives. For target setting: Use the median as a conservative first target, the mean as a mid-range objective, and the mode as a guide to where the most "normal" move tends to land. The hot pink mode line is often the most useful for setting realistic profit expectations. For alerts — Four alert conditions are built in: "Confirmed Bull Break," "Confirmed Bear Break," "Rejected Bull Cross," and "Rejected Bear Cross." Set them on your preferred timeframe and let the classifier notify you rather than watching the chart. Timeframe Notes This indicator works across all timeframes but behaves differently depending on context: 1H–4H: Good balance of signal frequency and reliability. Recommended starting point. Daily: Fewer signals, higher structural significance. Best for swing traders. 15m and below: More signals, more noise. Consider raising the threshold to 0.65–0.70 and reducing the lookback to 30. Watch the risk-tiered labels here in particular — they're most useful for filtering chop on fast timeframes. Example on the Daily with SPY ETF: Example on the 4 Hour with BTCUSD; Example on the 15 Minute with QQQ: A Note on the Model The logistic regression here is not trained on historical data in the machine learning sense, and it no longer relies on manually-set weights either. Each feature's weight is derived from its own rolling correlation with subsequent price action, recalculated continuously. Think of it less as a black-box ML model and more as a structured, self-adjusting way to combine four momentum and positioning indicators into a single probability score, similar to our Directional Logistic Oscillator. The advantage over a traditional multi-condition filter (RSI < 40 AND stoch < 30 AND...) is that the sigmoid function produces a continuous probability rather than a binary pass/fail, which means the model degrades gracefully, a break with three strong features and one neutral one still scores well, rather than getting blocked by an arbitrary threshold on the weak feature. And because every rejected cross is shown with its tier and score rather than discarded silently, nothing the model does is hidden from you. We hope you enjoy!
อินดิเคเตอร์
โดย GainzAlgo
134
The 50 SMA Strategy ChecklistThe 50SMA Strategy Checklist A minimal checklist for the 50 SMA setup. It is a clean visual filter for traders who want a fast read on whether a stock aligns with the basic structure of the 50 SMA setup. It shows four conditions: strong volume, price above the daily 50 SMA, a green daily candle, and a green weekly candle. Green means the condition is met; red means it is not. I hope this indicator helps you simplify your process and quickly identify stocks that match your 50 SMA checklist.
อินดิเคเตอร์
โดย Kochva_
STRYK Market BiasMulti-timeframe EMA-alignment dashboard: short-term, long-term, and overall bias boxes, plus an optional two-line color band. # STRYK Market Bias A multi-timeframe EMA-alignment dashboard. It reads one moving average across several timeframes at once and summarizes how those timeframes line up into two composite readings — a short-term read and a long-term read — plus a combined overall read. It can also draw a two-line band on the chart. This is a descriptive context tool for discretionary analysis. It does not generate buy or sell signals. ## What it does For each of several timeframes, it checks whether price is above or below that timeframe's EMA. Above reads bull, below reads bear. Those individual reads are combined into a weighted score for each group and shown as simple BULL / BEAR / NEUTRAL boxes, so you can see multi-timeframe alignment at a glance instead of loading the same moving average on seven separate charts. ## How it works **One EMA, many timeframes.** A single EMA length (default 233) is applied to each timeframe: fast frames (5m / 15m / 30m, with an optional 1m) and slow frames (1h / 2h / 4h). All higher-timeframe values are taken from the last closed bar by default, so they do not repaint. **Each frame votes.** Price above its EMA = +1 (bull), below = −1 (bear). **Two composites, weighted differently on purpose:** - **Short-term** emphasizes *freshness*. A fast frame that has just flipped receives a temporary extra weight that decays back to normal over a set number of bars, so recent changes on the fast frames carry more emphasis than stale ones. - **Long-term** emphasizes *persistence*. The longer a slow frame has held its side, the more its vote weighs (up to a cap), so a slow frame that has stayed on one side for a long time carries more of the read. Each group's score runs from −100 to +100 and is mapped to BULL / BEAR / NEUTRAL with an adjustable threshold. The **Overall** box is a blend of the two (default 60% long-term / 40% short-term, adjustable). A **fresh flag** lights when a fast frame flips within the fresh window in the same direction as the short-term read. **Per-frame grid (optional).** Expand it to see every timeframe's own arrow and its own bars-since-flip, so you can tell which timeframe is driving or breaking the score. ## The band (optional) Pick any two timeframes (default 1m and 4h). The EMA of each is drawn as a line and the area between them is filled. The band and lines are colored by where price sits relative to the two lines: above both, between them, or below both. A **fade** option holds the current color until price stays in a new zone for a set number of bars, so a brief poke into the band does not immediately change the color. ## How to use it Treat it as context, not instructions. When all the boxes agree and sit at their extremes, the timeframes are simply aligned. The more informative moments are when the short-term and long-term reads diverge, or when a fresh flip appears against the current read. Use the per-frame grid to see exactly which timeframe is responsible. Everything is adjustable: the EMA length and source, which timeframes are used, the weighting mode per group, the fresh and persistence settings, the threshold and overall blend, and the band and its colors, transparency and fade. ## Notes - With non-repaint on (default), higher-timeframe reads are delayed by one bar of that timeframe in exchange for values that do not change after the fact. Turn it off for live intrabar values, which repaint. - Timeframes smaller than your chart timeframe are sampled at chart resolution. - Alerts are provided for short-term, long-term, and overall state changes. ## Disclaimer This script is for informational and educational purposes only. It does not produce buy or sell signals and makes no claim about future results. Do your own analysis and manage your own risk.
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โดย Es-Sniper
Auto Fib + EMA200 MTF [SamoAlgo] - FIXED# Auto Fib + EMA200 MTF **A multi-timeframe trend-confirmation strategy combining automatic Fibonacci retracement detection with EMA200 alignment across four timeframes.** ## Overview This strategy automatically detects swing structures (pivot highs/lows) and looks for high-probability retracement entries at a configurable Fibonacci level (default 61.8%), but only when the broader trend is confirmed across multiple timeframes simultaneously. Unlike simple Fib tools that fire on every retracement, this script requires trend agreement across 1m, 5m, 15m, and 60m EMA200 readings before considering an entry valid — reducing false signals during choppy, directionless conditions. ## How it works **1. Swing & Fibonacci detection** The script identifies confirmed pivot highs and lows (adjustable strength), measures the swing size against current ATR to filter out insignificant moves, and calculates an entry zone at your chosen Fibonacci retracement level. Setups expire automatically after a configurable number of bars if price never reaches the entry zone. **2. Multi-timeframe trend filter** Before any entry, the script checks EMA200 position across four timeframes (1m/5m/15m/60m). You control how many of the four must agree (1–4) — requiring all four is strictest; lowering the threshold allows more signals during transitional market conditions. **3. Risk management** - Position sizing is equity-based (% risk per trade) - Stop and target can be ATR-based or Fibonacci-extension based (your choice) - Optional minimum Risk:Reward filter — trades below your threshold are skipped - Optional ADX-based trend-strength filter to avoid ranging markets - Optional max-trades-per-day cap - Optional cooldown period between trades to avoid clustering on the same swing **4. Visual feedback** Confirmed trades (not just signals — actual filled positions) draw persistent entry/stop/target lines and a labeled marker directly on the chart, so every alert you receive corresponds to a real, verified trade in the strategy's backtest. ## Inputs (fully customizable) - Pivot strength, Fib entry level, Fib target extension, minimum swing size - ATR-based or Fib-based stop/target - Risk % per trade - EMA200 length and timeframe-agreement threshold - Volatility filter, session filter, ADX filter, R:R filter, daily trade cap, cooldown - Independent long/short enable toggles ## Important notes - This is a **strategy** script (uses `strategy()`), meaning results shown are backtested performance, not a guarantee of future results. Always forward-test on a demo account before risking real capital. - The multi-timeframe EMA filter is inherently asymmetric to current market regime: in a sustained downtrend it will naturally favor short setups (and vice versa in an uptrend). This is expected behavior of trend-following logic, not a bug — adjust the timeframe-agreement threshold if you want more balanced signal frequency across both directions. - `request.security()` calls use `barmerge.lookahead_off` — no repainting from future data. - Past performance, including any results shown on the published chart, does not guarantee future performance. Trade at your own risk and use proper position sizing. — SamoAlgo
กลยุทธ์
โดย samo0o0
Stage 2 Uptrend Daily TableStage 2 Uptrend Daily Table Trend Template to Confirm STAGE 2 Uptrend Stock price is above both the 150-day (30-week) and the 200-day (40-week) moving average price lines. The 150-day moving average is above the 200-day moving average. The 200-day moving average line is trending up for at least 1 month, preferably 4–5 months minimum. The 50-day (10-week) moving average is above both the 150-day and the 200-day moving averages. The current stock price is at least 25% above its 52-week low. Many of the best selections will be 100%, 300%, or even greater above their 52-week low before they emerge from a sound consolidation period and mount a large-scale advance. The current stock price is within at least 25% of its 52-week high; the closer to a new high, the better. The relative strength ranking, as reported in Investor’s Business Daily, is no less than 70, preferably in the 90s, which will generally be the case with the better selections. Current price is trading above the 50-day moving average, except for “Low Cheat” setups.
อินดิเคเตอร์
โดย ZappleP
Adaptive Supertrend [ForexCracked]🔷 OVERVIEW Adaptive Supertrend is a trend-following tool that automatically adjusts its sensitivity to current market volatility. A classic Supertrend uses one fixed factor, which whipsaws in choppy conditions and lags in calm ones. This version measures the live volatility regime and scales the ATR factor between a low and a high setting, so the trail tightens when volatility is low and widens when volatility is high. 🔷 CONCEPTS Supertrend trails price using an ATR band whose width is set by a "factor." Instead of one fixed factor, this script ranks the current ATR against its own recent range (a 0–100 volatility percentile) and maps that rank onto a factor between your Min and Max settings: • Low volatility → smaller factor → tighter trail, earlier signals. • High volatility → larger factor → wider trail, fewer false flips. 🔷 HOW TO USE • Stay with the trend while the line sits below price (up) or above price (down). • A flip of the line marks a potential trend change, shown with a Buy or Sell label. • Read the Info panel for the live trend and the current volatility regime (Low / Medium / High). • Combine it with structure or support and resistance for confirmation, and always use a stop. No single indicator is a complete system. 🔷 SETTINGS • ATR Length — lookback for the ATR band. • Min Factor / Max Factor — the range the factor adapts between. • Volatility Lookback — bars used to rank the current volatility. • Style — Buy/Sell labels, gradient fill, info panel, bar coloring, and colors. 🔷 ALERTS • Buy (flip up) and Sell (flip down). Free and open-source. Educational tool, not financial advice.
อินดิเคเตอร์
โดย ForexCracked
2
MACD Trend Continuation Filter [algo_aakash]MACD Trend Continuation Signals with Trend Strength and Session Validation is a trend-following indicator designed to reduce false MACD crossover signals by requiring confirmation from market direction, trend strength, and trading session activity before generating a signal. Instead of treating every MACD crossover equally, the indicator applies a sequential validation process so that signals are only produced when momentum develops in the direction of the prevailing trend during active market sessions. Problem Statement Standard MACD crossover strategies often generate numerous signals during ranging markets, weak trends, or periods of reduced market participation. While many of these crossovers satisfy the basic MACD conditions, they frequently lack the broader context needed to support a higher-probability continuation move. This indicator addresses that issue by combining momentum, trend direction, trend strength, and session timing into a single validation workflow. The objective is not to increase the number of signals, but to improve their selectivity by filtering out conditions that commonly produce lower-quality entries. Methodology The indicator evaluates each setup through four consecutive validation stages. Stage 1 – Momentum Trigger The process begins with a traditional MACD crossover. A bullish setup requires the MACD line to cross above the signal line while both remain below the zero line, indicating that bullish momentum is emerging from previously negative momentum. A bearish setup requires the MACD line to cross below the signal line while both remain above the zero line, indicating weakening bullish momentum before potential downside continuation. Stage 2 – Trend Direction After a valid MACD crossover is detected, price location relative to the selected EMA determines the higher-level trend. Long signals require price above the EMA. Short signals require price below the EMA. This prevents taking counter-trend MACD crossovers. Stage 3 – Trend Strength The indicator then evaluates ADX. Signals are only accepted when ADX exceeds the user-defined threshold, indicating that directional movement has sufficient strength. When enabled, this filter attempts to reduce signals generated during low-volatility consolidation periods. Stage 4 – Session Validation Finally, signals are restricted to the selected trading sessions. By default, only London and New York sessions are considered valid. These periods generally coincide with higher market participation and increased liquidity compared with quieter trading hours. Only when all four stages agree is a signal plotted. Signal Workflow Bullish Signal MACD crosses above its signal line. MACD remains below zero. Price trades above the EMA trend filter. ADX exceeds the minimum strength threshold (optional). The current bar occurs during an enabled trading session (optional). A bullish signal is displayed. Bearish Signal MACD crosses below its signal line. MACD remains above zero. Price trades below the EMA trend filter. ADX exceeds the minimum strength threshold (optional). The current bar occurs during an enabled trading session (optional). A bearish signal is displayed. Why This Indicator Is Different Many MACD-based scripts generate signals immediately after every crossover. This indicator instead applies a layered validation process where each filter serves a distinct analytical purpose: MACD identifies the momentum shift. The EMA confirms the broader directional bias. ADX measures whether the market is exhibiting sufficient directional strength. The session filter limits signals to predefined periods of higher market activity. Rather than operating as independent indicators displayed together, these components form a sequential decision process where each stage must validate the previous one before a signal is produced. Inputs The indicator allows customization of: MACD fast, slow, and signal periods EMA length ADX length Minimum ADX threshold London session New York session Enable/disable ADX filtering Enable/disable session filtering Alerts Built-in alert conditions include: Bullish Signal Bearish Signal Alerts trigger only after all enabled validation stages have been satisfied. Practical Usage The indicator is intended for traders who prefer trading with the prevailing market direction rather than reacting to every MACD crossover. Because multiple filters must align, signal frequency is intentionally lower than a standard MACD indicator. Traders may use the signals alongside their own price action analysis, support and resistance levels, or risk management rules. Limitations Signals are generated only after bar confirmation. Strong trends may still produce losing trades during rapid market reversals. Session filtering may exclude valid opportunities occurring outside the selected trading hours. ADX measures trend strength but does not indicate future price direction. The indicator is designed as a confirmation tool and should not be relied upon as the sole basis for trading decisions. Notes This script is intended for educational and analytical purposes. It visualizes a structured validation process that combines momentum, trend direction, trend strength, and trading session timing into a single signal-generation workflow. As with any technical indicator, outputs should be evaluated within a broader trading plan that includes appropriate risk management.
อินดิเคเตอร์
โดย algotim
MTF MA Cross Table Pro**Multi-Timeframe MA Cross** Multi-Timeframe MA Cross is a moving average dashboard and overlay tool designed to help traders quickly see whether price is trading above or below key exponential moving averages across multiple timeframes. The indicator displays a table showing the relationship between price and the selected EMA lengths across several major timeframes, including: * 1 Minute * 5 Minute * 15 Minute * 1 Hour * 4 Hour * 1 Day * 1 Week Each timeframe is checked against the 20, 50, 100, and 200 EMA. The table shows whether price is **Above** or **Below** each moving average. **Table Colour Rules** * **Green** = price is above the selected EMA * **Red** = price is below the selected EMA This gives a quick visual map of trend strength and moving average positioning across multiple timeframes. **Main Features** * Multi-timeframe EMA dashboard * Tracks 20, 50, 100, and 200 EMA conditions * Green/red table cells for fast trend reading * Adjustable MA lengths * Adjustable table text size * Current timeframe EMA overlays * Optional 20, 50, 100, and 200 EMA plots * Optional weekly EMA overlays * Designed for quick multi-timeframe trend confirmation **Overlay Moving Averages** The indicator can also plot moving averages directly on the chart, including: * Current timeframe 20 EMA * Current timeframe 50 EMA * Current timeframe 100 EMA * Current timeframe 200 EMA * Weekly 20 EMA * Weekly 50 EMA * Weekly 100 EMA Each moving average can be turned on or off from the settings panel. **Suggested Use** This indicator can be used to quickly assess whether price is aligned above or below important moving averages across short-term, intraday, daily, and weekly timeframes. It may help traders identify broader trend alignment, support and resistance zones, and areas where multiple timeframe moving averages are acting as confirmation. For example, if price is above the 20, 50, 100, and 200 EMA across multiple higher timeframes, this may suggest stronger bullish trend alignment. If price is below those averages, it may suggest weaker or bearish conditions. **Disclaimer** This indicator is designed as a visual trend and moving-average reference tool only. It is not financial advice and should not be used on its own for trade entries or exits. Always combine it with your own analysis, market structure, risk management, and trading plan.
อินดิเคเตอร์
โดย DigiDavesData
RichmondHillCM - PTJ Regime ChangePTJ Regime Change — Bull / Bear / Neutral Market Gauge A composite market-regime indicator inspired by the trend-following, 200-day-moving-average philosophy popularised by Paul Tudor Jones. Instead of relying on a single signal, it polls s even independent technical components, each casting a +1 (bullish) or −1 (bearish) vote, then sums them into one score from −7 to +7 and classifies the market into a Bull, Bear, or Neutral regime. The 7 components: Price vs 200 MA — primary trend filter Price vs 50 MA — intermediate trend filter MA slope — are both averages rising? RSI — momentum inside a healthy band (not weak, not euphoric) MACD histogram — momentum expanding vs contracting Volume — does volume confirm the day's direction? ATR stress — is volatility calm or spiking? How to use it: • Background and candle colours show the live regime at a glance. • The bottom-right table breaks down every component, its signal, and the total score. • Optional labels mark the exact bar where the regime flips. • Built-in alerts for regime changes, 200-MA crosses (above/below), and RSI blow-off/euphoria warnings. Every input is configurable: MA type (SMA/EMA) and lengths, RSI/MACD/ATR settings, volume period, and the bull/bear score thresholds — so you can tune sensitivity to your symbol and timeframe. Works on any symbol and any timeframe. Credits: methodology inspired by Paul Tudor Jones' trend/200-MA approach; original scoring framework concept by RichmondHillCM. Disclaimer: For educational purposes only. This is not financial advice and does not guarantee future performance. Always do your own research.
อินดิเคเตอร์
โดย RichmondHillCM