指标和策略
Simple Volume Analyzer..This is a simple yet powerful volume indicator that colors volume bars based on whether they are above or below a moving average. Useful for identifying breakouts and low-volume zones.
Wahrscheinlichkeits-OszillatorWhat the Indicator Measures (Short Version)
The indicator measures, over several different time windows (eight different historyLength values), the probability that the current indicator value (here, a 14-period SMA of the closing price) is higher than past values in that window.
These probabilities (named prob1 … prob8) are expressed as percentages (0–100). The arithmetic mean of these eight percentages is avgLine. Additionally, there are smoothings (SMMA) and a baseline (SMA of avgLine), similar to Bollinger Bands.
Step-by-Step: How the Values Are Calculated
Source:
sma_val = ta.sma(close, 14) → This is the 14-period simple moving average of the closing price. This smoothed price is used as the "current comparison value" (instead of raw close) to reduce noise.
Historical Array & Counting (Function calculateProbability)
For each probX, the function maintains an array of the most recently stored current values (up to historicalLength entries).
For the current sma_val, it counts how many entries in the historical array are smaller than current.
Then this number is divided by the total number of historical entries → result is a decimal between 0 and 1.
Multiplying by 100 gives probX in percent.
Mathematical (Pseudo):
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prob = (1 / total) * sum_{i=0}^{total-1} [ current > historical ] * 100
→ This is equivalent to the empirical percentile/rank position of the current value within the history.
Eight Windows / Ensemble:
prob1 … prob8 are calculated with different historyLength values (400, 350, 175, 130, 83, 42, 21, 15).
Longer windows measure “long-term” trend strength; shorter windows measure short-term relative strength/momentum.
avgLine:
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avgLine = (prob1 + ... + prob8) / 8
→ Ensemble average of all eight percentiles. Useful for smoothing extreme values from individual windows.
Smoothing (SMMA):
SMMA on prob1 and SMMA1 on avgLine reduce short-term fluctuations and make signals more stable.
Baseline & “Bands”:
Finally, basis = ta.sma(avgLine, length) and dev = mult * ta.stdev(avgLine, length) are calculated — this is exactly the baseline + band logic of a Bollinger-style representation, applied to avgLine.
Why It’s Meaningful
Percentiles/ranks are robust to scale changes. Instead of absolute price differences, the indicator answers: “Is the current (smoothed) price higher than usual over the last N periods?”
The ensemble of multiple window lengths captures different market regimes: short windows react quickly to momentum, long windows provide context and reduce false signals.
Smoothing (SMA/SMMA) reduces noise, making signals less sensitive to intraday jitter.
Interpretation: When Is the Market “Overheated” / “Not Overheated”?
High values (e.g., avgLine ≈ 80–100 or individual probX > 90):
The current SMA is higher than almost all previous values in the considered window → strong bullish dominance. This can indicate a strong rally (momentum), but also potential overbought conditions, especially if:
Volume growth is slowing, or
avgLine has remained very high for several periods (overextension).
Low values (e.g., avgLine ≈ 0–20):
The current SMA is below most of the historical values → market is under pressure or potentially oversold. Short-term reversal/recovery opportunities are more likely, especially if multiple windows are simultaneously low.
Values around ~50: Neutral — the current value is typical, in the middle of its historical distribution.
Concrete Rule (Your Specification): Buy / Sell
Buy Signal: When all eight lines (prob1 … prob8) are below lowerLine (e.g., lowerLine = 20).
→ Meaning: In all short- to long-term windows, the current SMA is below most historical values → strong, broadly confirmed undervaluation signal (potential rebound or end of correction).
Recommendation: Strong convergent long signal, especially if accompanied by volume increase or support confirmation.
Sell Signal: When all eight lines are above upperLine (e.g., upperLine = 90).
→ Meaning: In all windows, the current SMA is higher than almost all historical values → broadly confirmed overbought / overheating.
Recommendation: Strong convergent short/take-profit signal, especially if coinciding with divergences, weakening volume, or resistance areas.
Important Limitations & Risks (Pay Attention!)
Trend vs. Mean-Reversion: In a strong trend, all windows can stay high for a long time (trend continuation risk). An “all below lower → buy” signal can continue to fall in a strong downtrend → use stop-loss and trend filter (higher TF).
Historical Length & Sampling: Chosen historyLength values determine sensitivity. Very long windows make the indicator slower; very short windows increase noise.
Statistical Stationarity: Percentile signals assume the distribution remains comparable — in crashes/news events, distributions can break.
Smoothing / Lag: SMMA reduces false breakouts but adds delay — trade entries may occur later.
Practical Examples (Concrete)
Example Buy: prob1..prob8 = , lowerLine = 20 → all below 20 → strong long signal.
Example Sell: prob1..prob8 = , upperLine = 90 → all above 90 → take-profit / short signal.
Conclusion (Short)
Your indicator is a percentile/ranking oscillator over multiple windows — a robust ensemble measuring the relative position of the (smoothed) price to its own history.
Overheated = high, broadly confirmed prob values (e.g., all > upperLine).
Oversold = low, broadly confirmed prob values (e.g., all < lowerLine) → your rule: all below lowerLine = buy, all above upperLine = sell.
Never trade blindly — always use risk management and confirmation (volume, higher timeframes, structure).
Ripping and Dipping ReversalsWaits for price to be ripping or dipping a while based on aligned trending moving averages, then on a strong reversal bar indicates a potential buy or sell.
Universal Stochastic Fusion (Simplified) — v6What this indicator is
This indicator is called Universal Stochastic Fusion (USF).
It’s a tool that helps traders see when the market might be too high (overbought) or too low (oversold), and when it might be a good time to buy or sell.
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How it works
Think of the market like a rubber band.
• If the band stretches too far up, it usually snaps back down.
• If it stretches too far down, it usually bounces back up.
The USF indicator measures this stretch using something called the Stochastic Oscillator (just a fancy way of saying it looks at where the current price sits compared to recent highs and lows).
It shows this on a scale from 0 to 100:
• Near 100 → market is stretched upward (too hot).
• Near 0 → market is stretched downward (too cold).
• Around 50 → normal, middle ground.
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What’s special about USF
1. Two views at once
o It lets you see the market’s stretch on your current chart and on another timeframe (like a daily view).
o This way, you can see the short-term and the bigger picture together.
2. Smart levels
o Instead of always using the same “too high/too low” levels (like 80 and 20), it can adjust these lines automatically depending on how wild or calm the market is.
3. Buy and Sell signals
o When the market looks too low and starts turning up, it can mark a BUY.
o When the market looks too high and starts turning down, it can mark a SELL.
4. Extra filter (optional)
o It can also use another tool (RSI) to double-check signals, so you don’t get as many false alerts.
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How this helps traders
• It helps traders avoid buying when prices are already too high.
• It helps them spot possible bottoms where prices may bounce back.
• It combines short-term and long-term signals so traders don’t get tricked by quick moves.
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Where it works
This indicator is universal — meaning it works on almost any market:
• Stocks (like Apple, Tesla, etc.)
• Forex (currencies like EUR/USD)
• Crypto (Bitcoin, Ethereum, etc.)
• Commodities (Gold, Oil, etc.)
• Futures and Indices (S&P 500, Nasdaq, etc.)
Because all these markets share the same pattern of prices going up and down too much and then pulling back, the USF can be applied everywhere.
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👉 In short:
The Universal Stochastic Fusion is like a heat meter for the market.
It tells you when prices might be too hot (good chance to sell) or too cold (good chance to buy), and it works in all markets and timeframes.
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Pivots + EMAIndicators Pivot points and 2 EMAs combined. It can be used to find support and resistance levels and shows Exponential Moving Average lines
NeuroSwarm BTC: Мудрость Толпы vs Эксперты(RUS)
📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты».
В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram.
Толпа — агрегированные прогнозы участников (медиана и среднее).
Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков.
Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов.
Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка.
⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений.
Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами.
(ENG)
📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”.
Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities.
Crowd — aggregated forecasts from participants (median & average).
Experts — separate group of opinion leaders, traders, and analysts.
All values are fixed for each month and plotted on the chart as lines with shaded ranges.
This allows to compare expectations of different groups with actual market performance.
⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization.
The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.
NeuroSwarm ETH: Мудрость Толпы vs Эксперты
(RUS)
📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты».
В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram.
Толпа — агрегированные прогнозы участников (медиана и среднее).
Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков.
Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов.
Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка.
⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений.
Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами.
(ENG)
📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”.
Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities.
Crowd — aggregated forecasts from participants (median & average).
Experts — separate group of opinion leaders, traders, and analysts.
All values are fixed for each month and plotted on the chart as lines with shaded ranges.
This allows to compare expectations of different groups with actual market performance.
⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization.
The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.
MA Ribbon ExtendedCombines multiple moving averages (SMA, EMA, WMA, ALMA, HMA, DEMA, TEMA, SMMA, KAMA, FRAMA, McGinley) and VWAP bands into one indicator.
EMA Cross + KC Breakout + ATR StopThis uses an adjustable EMA Cross with an adjustable Keltner Channel breakout filter to identify trend breakouts for Long/Short entries. An adjustable ATR Stop is also provided for your entries.
Distance from EMAThis indicator measures the percentage distance from an EMA. When price gets too far away from it's EMA, it can show that the trend is overheated
Candle Spread + ATR SMA Analysis
This indicator combines elements from two popular open-source scripts — Candle Range Compare
by @oldinvestor
and Objective Analysis of Spread (VSA)
by @Rin-Nin
— into a single tool for analyzing candle spreads (ranges and bodies) in relation to volatility benchmarks.
🔎 What It Does
Candle Decomposition:
Plots total candle ranges (high–low) in gray, for both up and down closes.
Plots up-close bodies (open–close) in white.
Plots down-close bodies in black.
This makes it easy to spot whether volatility comes from real price movement (body) or extended wicks.
ATR & SMA Volatility Bands:
Calculates ATR (Average True Range) and overlays it as a black line.
Plots four volatility envelopes derived from the SMA of the true range:
0.8× (blue, shaded)
1.3× (green)
1.8× (red)
3.0× (purple)
Colored fill zones highlight when candle spreads are below, within, or above key thresholds.
Visual Context:
Track expansion/contraction in spreads.
Compare bullish (white) vs bearish (black) bodies to gauge buying/selling pressure.
Identify when candles stretch beyond typical volatility ranges.
📈 How To Use It
VSA context: Wide down bars (black) beyond ATR bands may suggest supply; wide up bars (white) may indicate demand.
Trend confirmation: Expanding ranges above average thresholds (green/red/purple bands) often confirm momentum.
Reversal potential: Small bodies but large ranges (gray + wicks) frequently appear at turning points.
Volatility filter: Use ATR bands to filter trades — e.g., only act when candle ranges exceed 1.3× or 1.8× SMA thresholds.
🙏 Credits
This script is inspired by and combines ideas from:
Candle Range Compare
by @oldinvestor
Objective Analysis of Spread (VSA)
by @Rin-Nin
Big thanks to both authors for their valuable contributions to the TradingView community.
One thing I couldnt quite get to work is being able to display up and down wicks like in the candle range compare, so I just add that indicator to the chart as well, uncheck everything but the wick plots and there it is.
Daily FVG H/L with Sweep RemovalThis indicator marks swing highs or lows of the daily candles from which the fair value gaps were created.
It gives you insight to crucial prices such as the highs and lows by this indicator and whether they have been swept or not.
The first reaction of the high or low will be counted as a sweep.
Once we run the high or low created by the reaction, then the indicator will mark that as a used high or low and will get rid of the line drawn to mark the high/low.
This can be used to watch important levels being swept which can sometimes indicate potential reversals on lower time frames.
Note : this indicator does not give you 100% accurate results or reliability and it requires you to conduct further research on the markets to create a reliable strategy.
This indicator may be of benefit if merged with other technical indicators or can support your technical strategies.
Argentum Flag [AGP]Ver.2.1Technical Description of the "Argentum Flag " Indicator
The "Argentum Flag " is a multifaceted trading indicator designed to provide a comprehensive view of market dynamics by combining elements of trend, volatility, momentum, and volume analysis. Its architecture is built on the synergy of multiple technical tools, allowing traders to make more informed decisions by reducing market noise and focusing on high-probability inflection points.
1. Dynamic AGP Bands (EMA 36 and Percentage Levels)
The core of the indicator is a 36-period Exponential Moving Average (EMA), which acts as the price's baseline and center of gravity. From this EMA, the script plots dynamic bands at predefined percentages (Base, Prime, and Vortex).
Logic: These bands are not static like Bollinger Bands; they expand and contract in response to the underlying EMA. This methodology helps identify relative volatility and trend strength. When the price trades within these bands, it's considered to be in a range or a controlled consolidation.
Benefit to the Trader: They provide a quick visual of dynamic support and resistance levels. A price movement beyond the Vortex band can signal an extreme market imbalance, suggesting potential trend exhaustion or a high-energy breakout.
2. Breakout Signals (Signals)
The indicator generates plotshape signals when the price stays outside the volatility bands for a specific number of consecutive bars (2 for the Prime band and 3 for the Vortex band).
Logic: These signals act as an overextension detection system. The underlying principle is that once the price breaks and holds outside these zones, the probability of a pullback or a reversal increases significantly. The lastSignalBarIndex logic prevents signal overload and ensures a cooling-off period, eliminating noise from consecutive signals.
Benefit to the Trader: It provides clear visual alerts for taking profits or looking for potential reversals. A trader can use the Vortex band exit signal (⌾) as confirmation to close a long or short position, while the Prime band signal (⍲) can indicate a potential pullback for a trend-following entry.
3. Bar Volume Analysis (Barcolor)
The script introduces a sophisticated bar coloring system that classifies volume activity relative to a 50-period Simple Moving Average (SMA).
Logic: The coloring is based not only on whether the bar is bullish or bearish but also on the magnitude of the volume. For instance, extreme volume (more than 3.5 times the average volume) is colored blue, indicating institutional participation or a high-impact event. High (1.8x) or average (0.6x - 1.7x) volume is distinguished with other colors, providing a visual map of the underlying strength behind each price move.
Benefit to the Trader: It allows for a quick identification of bars with the highest market conviction. A bearish price bar with extreme volume (extreme_volume_bearish) might signal significant liquidation, while a bullish bar with extreme volume (extreme_volume_bullish) could suggest strong accumulation.
4. Real-Time Monitoring Tables (EMA and RSI)
The indicator includes two data tables in the bottom corner of the screen, acting as a dashboard for multi-timeframe analysis.
EMA Table (Fibonacci): This table shows the current values of a series of Fibonacci-based EMAs (13, 21, 34, etc.). The background color of each cell indicates whether the current price is above (white) or below (blue) the corresponding EMA.
Logic: This table allows traders to assess the trend bias across different timeframes, from short to long-term. An alignment of multiple EMAs in the same direction (e.g., all white) confirms a strong trend.
Benefit to the Trader: It provides a quick check for trend confirmation. For example, before opening a long position on a 5-minute chart, a trader can verify if the overall trend on higher timeframes (e.g., 4h or 1D) is also bullish.
RSI Table (Multi-Timeframe): This table shows the Relative Strength Index (RSI) values across multiple timeframes, from 1 minute to monthly. The cell lights up orange if the RSI is in the overbought zone (> 77) or white if it's in the oversold zone (< 23).
Logic: The use of request.security enables the fetching of data from other timeframes on the current bar. This is a crucial component for multi-timeframe divergence analysis.
Benefit to the Trader: It helps identify overbought or oversold conditions across different trading horizons, which is vital for spotting large-scale reversals. If the 1D and 4h RSIs are overbought, a long position on a lower timeframe could be high-risk.
Competitive Advantages for Traders
The "Argentum Flag " is not just a simple indicator; it's a consolidated technical analysis suite that saves time and effort. Instead of overlaying multiple indicators, a trader gets all the relevant information in a single view. The contextualized volume analysis and volatility-based signals are invaluable tools for filtering out low-quality entries and exits. Finally, the real-time monitoring tables provide a multi-timeframe perspective that is fundamental for validating market direction and managing risk.
In trading, the convergence of multiple technical data points is key to increasing the probability of success. This indicator provides precisely that convergence, enabling both novice and experienced traders to make more precise and strategic decisions.
Risk Warning (Disclaimer)
Trading in financial markets carries a significant risk of loss and is not suitable for all investors. The information and signals provided by this indicator are for educational and analysis purposes only and should not be construed as financial advice. The past performance of any trading system or methodology is not necessarily indicative of future results. The user assumes all responsibility for their own trading decisions and any resulting losses or gains.
Price Change % & Pips by rajib127📊 Multi-Timeframe Price Change Table — Pips & Percentage Tracker
This custom-built TradingView indicator provides a clean and detailed table showing pip and percentage changes across multiple timeframes. It helps traders quickly assess short-term and mid-term price momentum by visualizing how much the price has changed over different intervals.
🔍 Features:
Displays pip change and percentage change side-by-side.
Covers a wide range of timeframes:
• Minute-based: M01, M02, M03, M04, M05, M10, M15, M20, M25, M30, M40, M50
• Hour-based: H01, H02, H03
Color-coded values for quick visual interpretation:
• 🟢 Positive movement (price increase)
• 🔴 Negative movement (price decrease)
Ideal for scalpers, day traders, and short-term swing traders.
🎯 Use Case:
This tool is designed to help you:
Detect early momentum shifts
Spot short-term trends or reversals
Confirm trade entries or exits based on recent price behavior
🛠 Customizable:
The script can be further extended or customized to include different timeframes, alert conditions, or integrate with other strategies.
Adaptive MACD Suite (MAMA / FAMA / KAMA) By Tehreem 2.0Adaptive MACD built without simple moving averages.
Choose your engine: MAMA–FAMA (Ehlers), MAMAx2, FAMAx2, or KAMAx2 (Kaufman Adaptive). The histogram is the classic MACD histogram (MACD − Signal), plotted with rising/falling tint just like the standard indicator—only smarter and fully adaptive.
Why this indicator?
Traditional MACD relies on simple or exponential MAs that lag in fast markets. This tool replaces them with adaptive baselines so your MACD reacts to real-time market dynamics:
MAMA–FAMA (John Ehlers) adapts with instantaneous phase/alpha.
KAMA (Perry Kaufman) adapts using Efficiency Ratio (ER).
MAMAx2 / FAMAx2 let you compare two adaptive lines of the same family (fast vs slow).
Result: faster trend detection, cleaner momentum shifts, and fewer whipsaws across forex, crypto, stocks, indices, gold (XAUUSD), and more.
What it does (at a glance)
MACD Line: difference between selected adaptive fast & slow lines (per mode).
Signal Line: EMA of MACD (length adjustable).
Histogram: MACD − Signal with positive/negative & rising/falling colors for instant read.
Source Option: Use Heiken Ashi close or regular close to fit HA-based systems.
Alerts: Bull/Bear crosses and zero-line shifts (ready to hook into your trade rules).
Modes (pick one)
MAMA_FAMA: Classic Ehlers pair. MACD = MAMA − FAMA. Great all-rounder for momentum + trend confirmation.
MAMAx2: MACD = MAMA(fast) − MAMA(slow). Keeps the Ehlers feel while separating pace.
FAMAx2: MACD = FAMA(fast) − FAMA(slow). A smoother, slightly slower flavor of the Ehlers family.
KAMAx2: MACD = KAMA(fast ER) − KAMA(slow ER). Excellent in choppy assets; adapts to noise.
All engines are coded from scratch (no built-ins), Pine v6, and calibrated to behave like a “real” MACD—just without SMA/EMA as the core trend inputs.
How to use it (practical playbook)
Trend confirmation: Trade in the direction of MACD above/below zero.
Entry timing: Look for MACD crossing Signal in trend direction.
Momentum strength: Expanding histogram indicates acceleration; contracting suggests a pause or pullback.
Divergence spotting: Price vs. MACD divergences remain valid—adaptive baselines can reveal them earlier.
Heiken Ashi workflows: Flip “Use Heiken Ashi Close as Source” on to align with HA entries (e.g., HA green above baseline + MACD > 0).
Suggested starting settings
MAMA_FAMA: fastLimit = 0.50, slowLimit = 0.05, Signal = 9
MAMAx2: M1: 0.60/0.04, M2: 0.30/0.02
FAMAx2: M1: 0.50/0.05, M2: 0.25/0.03
KAMAx2: Fast ER = 10, Slow ER = 30, FastLen = 2, SlowLen = 30, Signal = 9
Tweak signal length a bit higher for very noisy symbols (e.g., some crypto pairs) and a bit lower for smoother indices.
Included alerts (ready to use)
MACD Bull/Bear Cross (MACD ↔ Signal)
MACD > 0 / < 0 (regime shifts)
Optional Histogram Rising/Falling momentum alerts
Who is it for?
Traders who prefer adaptive indicators over fixed-period SMAs/EMAs.
Trend-followers and swing traders needing cleaner momentum confirmation.
Scalpers and intraday traders on volatile instruments (crypto, gold, NASDAQ) who want faster reaction without overfitting.
Tips & best practices
Pair with a baseline (e.g., EMA/MAMA on price) for structure; use Adaptive MACD for timing.
On higher timeframes, MAMA_FAMA often gives very clean signals.
In range markets, KAMAx2 typically filters noise better.
For 1:3 RR systems, use MACD for confirmation, not as the sole trigger.
Notes & disclaimer
Built for Pine v6.
This is a tool, not financial advice. Always validate on your market/timeframe and use proper risk management.
Auto-Anchored MA with Deviation BandsAuto-Anchored MA with Deviation Bands
✨ Features
📈 Auto-Anchored MA: Calculates moving averages (EMA, SMA, EWMA, WMA, VWAP, TEMA) anchored to user-defined periods (Hour, Day, Week, etc.).📏 Deviation Bands: Plots upper/lower bands using Percentage or Standard Deviation modes for volatility analysis.⚙️ Customizable Timeframes: Choose anchor periods from Hour to Year for flexible trend analysis.🎨 Visuals: Displays MA and bands with gradient fills, customizable colors, and adjustable display bars.⏱️ Countdown Table: Shows bars since the last anchor for easy tracking.🛠️ Smoothing: Applies smoothing to bands for cleaner visuals.
🛠️ How to Use
Add to Chart: Apply the indicator on TradingView.
Configure Inputs:
Anchor Settings: Select anchor period (e.g., Day, Week).
MA Settings: Choose MA type (e.g., VWAP, TEMA).
Deviation Settings: Set deviation mode (Percentage/Std Dev) and multipliers.
Display Settings: Adjust bars to display, colors, and gradient fill.
Analyze: View MA, deviation bands, and countdown table on the chart.
Track Trends: Use bands as dynamic support/resistance and monitor anchor resets.
🎯 Why Use It?
Dynamic Analysis: Auto-anchors MA to key timeframes for adaptive trend tracking.
Volatility Insight: Deviation bands highlight potential breakouts or reversals.
Customizable: Tailor MA type, timeframe, and visuals to your trading style.
User-Friendly: Clear visuals and countdown table simplify analysis.
📝 Notes
Ensure sufficient bars for accurate MA and deviation calculations.
Gradient fill enhances readability but can be disabled for simplicity.
Best used with complementary indicators like RSI or Bollinger Bands for robust strategies.
Happy trading! 🚀📈
AI - Customizable EMA Offset Entry StrategyMoving average with offsets, such that buy indicators are above the MA and sell indicators are below the MA
ADX and DI by MiGThis Pine Script calculates and plots the ADX (Average Directional Index) and its components, DI+ and DI-, which are part of the Directional Movement Index (DMI) system. The indicator helps traders assess trend strength and direction.
len: the period used for smoothing calculations (default 14).
th: threshold line for ADX (default 20) to visually indicate weak vs. strong trends.
True Range (TR): Measures the most extreme price movement between consecutive bars.
Directional Movement Plus (DM+): Measures upward movement; non-zero only if the current high is higher than the previous high and exceeds downward movement.
Directional Movement Minus (DM-): Measures downward movement; non-zero only if the current low is lower than the previous low and exceeds upward movement.
• DIPlus and DIMinus are the smoothed Directional Indicators (percentage form).
• DX measures the relative difference between DI+ and DI- as a percentage.
• ADX is the smoothed average of DX, representing trend strength:
• ADX > threshold → strong trend
• ADX < threshold → weak or no trend
QuantumX Renko Suite QuantumX Renko Suite is an advanced all-in-one trading system that combines multiple strategies for powerful and accurate signals.
✅ Quantum RSI – Detects momentum shifts, overbought & oversold zones.
✅ MA Shift – Trend-following moving average with custom shift option.
✅ Nadaraya-Watson Kernel Smoother – Smooths price action with confidence bands to filter noise.
✅ Renko Filter (Non-Repainting) – Confirms signals only when Renko direction matches, reducing false entries.
✅ Multi-Timeframe Support/Resistance – Auto-detects higher timeframe demand/supply zones (5m, 10m, 15m, etc.).
✅ Buy/Sell Signals + Alerts – Clear chart markers (BUY/SELL) and ready-to-use alert conditions.
🎯 Best For: Intraday, Swing, and Trend-following strategies.
⚠️ Disclaimer: This script is for educational purposes only. Not financial advice. Always back test before live trading.
