Customizable 10‑MA SuiteCustomizable 10‑Moving‑Average Suite
OverviewPlot up to 10 independent moving averages on a single chart. Every line can be tailored to your trading style with adjustable length, timeframe, MA type (SMA, EMA, WMA, RMA, VWMA, HMA, LinReg), data source, colour, width, and plot style.
Key Features
True multi‑time‑frame support via request.security(): mix intraday and higher‑time‑frame MAs effortlessly.
Fine‑grained visibility control: toggle each MA on/off to keep charts clean and script performance high.
Versatile display options: choose between line, step, histogram, or area plots for every MA.
Typical Use‑Cases
Quickly compare short‑, medium‑, and long‑term trends.
Identify dynamic support/resistance and moving‑average crossovers.
Add confluence to existing strategies or discretionary setups.
Pro TipHighlight your primary trend MA with a thicker line and bolder colour, while setting secondary MAs to thinner or dashed styles—this keeps focus where it matters and prevents visual clutter.
Enjoy!
Multitimeframe
Supply and Demand Zones🔍 Supply and Demand Zones
by The_Forex_Steward
This indicator automatically identifies Supply and Demand Zones based on aggregated synthetic candles, helping traders pinpoint potential reversal or breakout levels with clarity and precision.
🧠 How It Works:
This tool aggregates price data over a set number of candles (defined by the Aggregation Factor ) to create "synthetic candles" that smooth out noise and highlight significant institutional price activity. These candles are then analyzed to detect bullish or bearish order blocks , which are visualized as zones:
-Demand Zones (Green) : Formed when price breaks above the high of a previous bearish synthetic candle.
-Supply Zones (Red) : Formed when price breaks below the low of a previous bullish synthetic candle.
These areas often represent key institutional interest where price is likely to react.
⚙️ Key Features:
-Aggregation Factor : Groups candles to form larger, synthetic ones. Higher values smooth price and reduce noise.
-Custom Zone Length : Define how far zones extend forward (up to 500 bars).
-Mitigation Logic : Choose whether to auto-delete zones once price breaks through them.
-Visual Customization : Customize zone colors and borders to suit your charting style.
-Alerts : Get notified when new Supply or Demand zones are formed.
📈 How to Use It:
1. Trend Trading : Use zones as dynamic support/resistance to enter with trend pullbacks.
2. Reversals : Look for price reactions at untested zones for potential counter-trend setups.
3. Breakouts : Monitor for zone breaks that signal strong momentum or shifts in market structure.
4. Confluence : Combine with other indicators (like RSI or volume) for more robust trade setups.
🔔 Alerts:
Receive alerts when new demand or supply zones are formed so you can take action in real time.
✅ Recommended Settings:
For intraday trading : Use lower aggregation values (e.g., 3–5).
For swing/position trading : Higher values (e.g., 6–10) may give better structure.
Beyond Insights IndicatorThe Beyond Insights Indicator is a multi-timeframe overlay tool designed for TradingView that displays key Exponential Moving Averages (EMAs) and volatility insights to support various trading strategies. It intelligently adapts its display based on the current chart timeframe to reduce clutter and enhance relevance. Specifically, it shows EMA 6, 18, and 50 when viewing intraday timeframes.
In addition to EMAs, the indicator includes an ATR (Average True Range) calculation with a default length of 14, offering insight into market volatility.
MARibbonMARibbon インジケーターについて
この「MARibbon」は、3本の移動平均線（MA1、MA2、MA3）を描画し、特にMA2とMA3の関係性に注目して、背景色でトレンドの強弱や転換のサインを視覚的に分かりやすく表示するインジケーターです。
主な特徴
3種類の移動平均線を表示可能
MA1（白色、期間40、太さ2）
MA2（水色、期間200、太さ4）
MA3（ピンク色、期間800、太さ4）
各MAの期間・種類（SMA、EMA、WMA、RMA）・タイムフレームは自由に設定可能。
MA2とMA3の関係性に応じて、チャート背景に色付きのリボン（帯）を表示。
背景リボンの意味
MA2 > MA3（ゴールデンクロス状況）
→ 背景を薄い緑色にして、上昇トレンドの可能性を示唆。
MA3 > MA2（デッドクロス状況）
→ 背景を薄い赤色にして、下降トレンドの可能性を示唆。
それ以外（等しい場合など）は背景色なし（透明）で表示。
入力可能な設定
各移動平均線の期間
各移動平均線の種類（SMA、EMA、WMA、RMA）
各移動平均線のタイムフレーム（デフォルトはチャートと同じ）
使い方
任意の銘柄・時間足のチャートにインジケーターを適用。
必要に応じて、3本の移動平均の期間・種類・時間足を調整。
MA2とMA3の位置関係によって、チャート背景の色が変わり、トレンドの強弱を直感的に把握可能。
MARibbon is a custom indicator that plots three moving averages (MA1, MA2, MA3) and visually fills the space between MA2 and MA3 with color bands to indicate trend strength and direction.
Each MA supports custom type (SMA / EMA / WMA / RMA), length, and timeframe.
A green band appears when MA2 is above MA3.
A red band appears when MA3 is above MA2.
This clean and minimal design helps traders easily visualize overlapping trends and potential crossovers.
💡 Use Cases:
Visually confirm confluence of long- and short-term trends
Identify ribbon-like zones of trend strength
Support for MA cross strategy analysis
REVELATIONS (VoVix - PoC) REVELATIONS (VoVix - POC): True Regime Detection Before the Move
Let’s not sugarcoat it: Most strategies on TradingView are recycled—RSI, MACD, OBV, CCI, Stochastics. They all lag. No matter how many overlays you stack, every one of these “standard” indicators fires after the move is underway. The retail crowd almost always gets in late. That’s never been enough for my team, for DAFE, or for anyone who’s traded enough to know the real edge vanishes by the time the masses react.
How is this different?
REVELATIONS (VoVix - POC) was engineered from raw principle, structured to detect pre-move regime change—before standard technicals even light up. We built, tested, and refined VoVix to answer one hard question:
What if you could see the spike before the trend?
Here’s what sets this system apart, line-by-line:
o True volatility-of-volatility mathematics: It’s not just "ATR of ATR" or noise smoothing. VoVix uses normalized, multi-timeframe v-vol spikes, instantly detecting orderbook stress and "outlier" market events—before the chart shows them as trends.
o Purist regime clustering: Every trade is enabled only during coordinated, multi-filter regime stress. No more signals in meaningless chop.
o Nonlinear entry logic: No trade is ever sent just for a “good enough” condition. Every entry fires only if every requirement is aligned—local extremes, super-spike threshold, regime index, higher timeframe, all must trigger in sync.
o Adaptive position size: Your contracts scale up with event strength. Tiny size during nominal moves, max leverage during true regime breaks—never guesswork, never static exposure.
o All exits governed by regime decay logic: Trades are closed not just on price targets but at the precise moment the market regime exhausts—the hardest part of systemic trading, now solved.
How this destroys the lag:
Standard indicators (RSI, MACD, OBV, CCI, and even most “momentum” overlays) simply tell you what already happened. VoVix triggers as price structure transitions—anyone running these generic scripts will trade behind the move while VoVix gets in as stress emerges. Real alpha comes from anticipation, not confirmation.
The visuals only show what matters:
Top right, you get a live, live quant dashboard—regime index, current position size, real-time performance (Sharpe, Sortino, win rate, and wins). Bottom right: a VoVix "engine bar" that adapts live with regime stress. Everything you see is a direct function of logic driving this edge—no cosmetics, no fake momentum.
Inputs/Signals—explained carefully for clarity:
o ATR Fast Length & ATR Slow Length:
These are the heart of VoVix’s regime sensing. Fast ATR reacts to sharp volatility; Slow ATR is stability baseline. Lower Fast = reacts to every twitch; higher Slow = requires more persistent, “real” regime shifts.
Tip: If you want more signals or faster markets, lower ATR Fast. To eliminate noise, raise ATR Slow.
o ATR StdDev Window: Smoothing for volatility-of-volatility normalization. Lower = more jumpy, higher = only the cleanest spikes trigger.
Tip: Shorten for “jumpy” assets, raise for indices/futures.
o Base Spike Threshold: Think of this as your “minimum event strength.” If the current move isn’t volatile enough (normalized), no signal.
Tip: Higher = only biggest moves matter. Lower for more signals but more potential noise.
o Super Spike Multiplier: The “are you sure?” test—entry only when the current spike is this multiple above local average.
Tip: Raise for ultra-selective/swing-trading; lower for more active style.
Regime & MultiTF:
o Regime Window (Bars):
How many bars to scan for regime cluster “events.” Short for turbo markets, long for big swings/trends only.
o Regime Event Count: Only trade when this many spikes occur within the Regime Window—filters for real stress, not isolated ticks.
Tip: Raise to only ever trade during true breakouts/crashes.
o Local Window for Extremes:
How many bars to check that a spike is a local max.
Tip: Raise to demand only true, “clearest” local regime events; lower for early triggers.
o HTF Confirm:
Higher timeframe regime confirmation (like 45m on an intraday chart). Ensures any event you act on is visible in the broader context.
Tip: Use higher timeframes for only major moves; lower for scalping or fast regimes.
Adaptive Sizing:
o Max Contracts (Adaptive): The largest size your system will ever scale to, even on extreme event.
Tip: Lower for small accounts/conservative risk; raise on big accounts or when you're willing to go big only on outlier events.
o Min Contracts (Adaptive): The “toe-in-the-water.” Smallest possible trade.
Tip: Set as low as your broker/exchange allows for safety, or higher if you want to always have meaningful skin in the game.
Trade Management:
o Stop %: Tightness of your stop-loss relative to entry. Lower for tighter/safer, higher for more breathing room at cost of greater drawdown.
o Take Profit %: How much you'll hold out for on a win. Lower = more scalps. Higher = only run with the best.
o Decay Exit Sensitivity Buffer: Regime index must dip this far below the trading threshold before you exit for “regime decay.”
Tip: 0 = exit as soon as stress fails, higher = exits only on stronger confirmation regime is over.
o Bars Decay Must Persist to Exit: How long must decay be present before system closes—set higher to avoid quick fades and whipsaws.
Backtest Settings
Initial capital: $10,000
Commission: Conservative, realistic roundtrip cost:
15–20 per contract (including slippage per side) I set this to $25
Slippage: 3 ticks per trade
Symbol: CME_MINI:NQ1!
Timeframe: 1 min (but works on all timeframes)
Order size: Adaptive, 1–3 contracts
No pyramiding, no hidden DCA
Why these settings?
These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions.
Tip: Set to 1 for instant regime exit; raise for extra confirmation (less whipsaw risk, exits held longer).
________________________________________
Bottom line: Tune the sensitivity, selectivity, and risk of REVELATIONS by these inputs. Raise thresholds and windows for only the best, most powerful signals (institutional style); lower for activity (scalpers, fast cryptos, signals in constant motion). Sizing is always adaptive—never static or martingale. Exits are always based on both price and regime health. Every input is there for your control, not to sell “complexity.” Use with discipline, and make it your own.
This strategy is not just a technical achievement: It’s a statement about trading smarter, not just more.
* I went back through the code to make sure no the strategy would not suffer from repainting, forward looking, or any frowned upon loopholes.
Disclaimer:
Trading is risky and carries the risk of substantial loss. Do not use funds you aren’t prepared to lose. This is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results.
Expect more: We’ll keep pushing the standard, keep evolving the bar until “quant” actually means something in the public code space.
Use with clarity, use with discipline, and always trade your edge.
— Dskyz , for DAFE Trading Systems
StochRSI Context EngineThe StochRSI Context Engine is a premium, logic-driven indicator built to provide comprehensive intraday momentum context using multi-timeframe Stochastic RSI analysis. Rather than issuing direct buy or sell signals, the tool is designed to give traders enhanced clarity on trend posture, overbought/oversold conditions, volatility states, and potential momentum reversals. It combines multiple layers of signal processing to deliver an intelligent overview of market conditions in real time.
What it does:
The indicator performs a multi-timeframe evaluation of the Stochastic RSI, sampling values from four customizable timeframes (default: 5m, 15m, 1h, 4h). These values are blended and processed through a series of analytical engines to provide the following:
1. StochRSI Multi-Timeframe Engine
* Computes a smoothed Stochastic RSI value on each selected timeframe.
* Applies user-defined smoothing (SMA, EMA, RMA, or WMA).
* Aggregates these into an average (sRSIavg) for further analysis.
2. Trend and Volatility Engine
* Uses EMA stacking logic (8, 21, 50) to determine directional alignment.
* Calculates linear regression slope for directional bias.
* Assesses volatility using ATR relative to price.
* Derives a trendScore based on EMA alignment, price position, and slope strength.
3. Bias and Slope Analysis
* Measures fast/slow EMA slope differentials to detect bias direction and strength.
* Computes slope deltas and volatility-weighted stacking to score bias conditions.
* Outputs a classification such as strong bullish, moderate bearish, or neutral.
4. Dynamic OB/OS Zone Detection
* Adapts overbought and oversold thresholds based on volatility and trend regime.
* Adjusts the zone boundaries if in a trending or high-volatility environment.
5. Microzone Proximity Detection
* Tracks whether the average StochRSI is approaching key OB/OS thresholds.
* Flags conditions like “Near Overbought,” “Near Oversold,” or “Mid Range.”
6. Velocity and Acceleration Detection
* Measures how quickly StochRSI values are changing.
* Uses delta calculations to gauge the momentum’s thrust or decay.
* Classifies shifts in RSI movement (e.g., flat, slow, fast, or thrusting).
7. Range Expansion / Compression Engine
* Evaluates whether StochRSI values across timeframes are diverging or compressing.
* Identifies regime changes in momentum coherence.
8. Momentum Scoring System
* Calculates a composite score based on bias, slope strength, volatility, and range.
* Labels momentum phases from dormant to full-throttle.
9. Confluence Detection
* Tallies how many of the 4 timeframes are currently overbought or oversold.
* High confluence increases the probability of valid reversal or continuation zones.
10. Support and Resistance Zone Memory
* Tracks and plots previous areas where StochRSI bounced or rejected near zones.
* Stores and updates these zones over time, acting as momentum-based S/R levels.
* Includes a proximity check to cluster zones that are close in value.
11. Divergence Detection Engine
* Detects classic bullish or bearish divergence between price and the aggregated StochRSI.
* Draws lines to show divergence structure and triggers real-time alerts.
12. Smart Background Highlighting
* Shades the background based on whether current StochRSI is in an overbought, oversold, or
neutral zone.
13. Real-Time Dashboard
* Displays trend, bias, confluence count, velocity, divergence state, momentum score, and
more.
* Dynamically updates and is optimized for top-right screen positioning with compact
formatting.
14. Smart Alerts
* Issues alerts for divergence detection and high-confluence reversal conditions.
15. Real-Time Labels on Curves
* Shows the selected timeframes alongside each plotted StochRSI line to clarify source data.
What it’s based on:
* Stochastic RSI as the core input signal, providing normalized momentum across timeframes.
* EMA stacking logic, adapted from institutional trend-following models.
* Volatility normalization using ATR to adapt thresholds in high vs. low volatility environments.
* Slope forecasting using linear regression to infer directional conviction.
* Bias analysis modeled on a composite of EMA distance, alignment, and directional thrust.
* Support/resistance zone memory derived from repeated interaction with dynamic OB/OS thresholds.
* Divergence logic based on localized price and oscillator peaks/troughs.
* Multi-factor confidence scoring, aggregating up to 6 inputs to rate market clarity.
This script is for educational and informational purposes only. It does not generate trade signals or provide financial advice. It is not intended to be used as a standalone system for trading or investment decisions. Use at your own discretion. Always confirm with your broader strategy and risk management practices.
MTF Trend + Crossover AlertsMulti-Timeframe Trend Dashboard + Crossover Signals
This indicator provides a clean, real-time visual dashboard of trend directions across multiple timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D), based on moving average crossovers.
🔹 Trend Detection Logic:
When the fast MA is above the slow MA → Bullish trend 🚀
When the fast MA is below the slow MA → Bearish trend 🐻
When both are equal or ranging → Neutral
📊 Dashboard Features:
Displays trend status for each selected timeframe
Color-coded cells (green = bullish, red = bearish, gray = neutral)
Includes emojis for visual clarity
🔔 Buy/Sell Alerts:
On the active chart timeframe, buy and sell signals are plotted when the fast MA crosses above or below the slow MA. You can also enable TradingView alerts based on these events.
🧩 Customizable Inputs:
Fast MA period
Slow MA period
MA type (EMA or SMA)
🔧 Ideal for traders who want a quick snapshot of market structure across multiple timeframes and receive real-time crossover signals on their current chart.
Killzones (UTC+3) by Roy⏰ Time-Based Division – Trading Quarters:
The trading day is divided into four main quarters, each reflecting distinct market behaviours:
Opo Finance Blog
Quarter Time (Israel Time) Description
Q1 16:30–18:30 Wall Street opening; highest volatility.
Q2 18:30–20:30 Continuation or correction of the opening move.
Q3 20:30–22:30 Quieter market; often characterized by consolidation.
Q4 22:30–24:00 Preparation for market close; potential breakouts or sharp movements.
This framework assists traders in anticipating market dynamics within each quarter, enhancing decision-making by aligning strategies with typical intraday patterns.
The ICT Ultimate Grid | MarketMaverisk GroupThe ICT Ultimate Grid | MarketMaverisk Group
This script is a fully customizable checklist based on ICT (Inner Circle Trader) concepts. It helps traders validate entry conditions across three timeframes:
LTP (Long-Term), ITP (Intermediate-Term), and STP (Short-Term).
⸻
✅ Purpose & Utility:
Instead of generating simple buy/sell signals, this tool assists traders in making structured, confirmation-based decisions. It presents a visual checklist with 11 customizable columns—each can be individually toggled for each timeframe and displays ✅ or ❌ confirmation status.
⸻
🧠 Confirmation Structure:
The checklist covers the following core elements from the ICT methodology:
• ERL⇔IRL and IRL⇔ERL (presented as special confirmations below the table)
• DOL – Drow On liqudity Level
• PD – permium or discuant
• SMT – Smart Money Trap / Inter-market Divergence
• CSD – Change in State of dlivery
• MSS – Market Structure Shift
• MMXM – Market maker (buy or sell) model
• FVG – Fair Value Gap
• OB – Order Block
• BRK.B – breker Block
Each item can be enabled or disabled for LTP, ITP, and STP individually.
⸻
📊 Visual Design:
• Clean, compact table displayed in the top-right corner of the chart.
• Clear color scheme (✅ Green = Confirmed, ❌ Red = Not Confirmed, Grey = Hidden/Disabled).
• Timeframes are stacked row-wise (LTP, ITP, STP).
• Inputs allow fine-grained control over what elements are shown in each timeframe.
• Additional rows are used to confirm:
• HTF Key Level
• Direction: Reversal ↩️ or Continuation 🔂
• Bias: Bullish 🔼 or Bearish 🔽
⸻
📈 Use Case:
This tool is ideal for traders who follow:
• ICT-based trading approaches
• Market structure + Liquidity analysis
• Day trading, scalping, or swing setups
• Confirmation-based entries after higher-timeframe alignment
⸻
⚙️ Recommended Timeframe Settings:
• LTP = D1 or 4H
• ITP = 1H or 15min
• STP = 5min or 3min or 1min
• Session time: Best used between 02:00 and 05:00 on london killzone & 08:00 and 12:00 on New york killzone in New York timezone (UTC -5)
(you can customize this in strategy version)
⸻
🛠 Technical Note:
This version is an indicator and does not generate signals or alerts by itself. For full automation, a strategy version is also available upon request.
⸻
Let me know if you’d like me to also write a “strategy description” or help you prepare the public chart layout 📊 to make your publish clean and attractivE
Livermore-Seykota Breakout StrategyStrategy Name: Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
FeraTrading Sessions High/LowThe FeraTradiang Sessions High/Low Indicator plots precise high and low levels for the New York, London, and Asian trading sessions — without any clutter.
We designed this tool for simplicity, clarity and accuracy, automatically adjusting to any timeframe and time zone — no manual setup required.
🔍 Key Features:
Clean horizontal lines marking session highs and lows
Lines start at the actual high/low
Session times:
New York: 09:30 – 17:00
London: 03:00 – 08:00
Asian: 18:00 – 03:00
Real-time updates that trail live candles
Only shows the most relevant sessions:
Yesterday’s NY
Last night’s Asia + morning continuation
Today’s London
Fully customizable:
Session colors
Session toggles
Label toggles
Line extension settings
Enable extended trading hours on your chart for best results.
Whether you're trading futures, forex, or crypto, this indicator provides clean session context without the mess. Open-source for extra customization and designed for real-time usability.
FeraTrading Auto ORBThe FeraTrading Auto ORB Indicator automatically plots the high, low, and midline from your selected opening range timeframe—then resets them daily to keep your chart clean and readable.
Customizable Features:
You can choose from multiple ORB timeframes: 1min, 2min, 3min, 5min, 10min, 15min, 30min, 45min, and 60min. These levels display on any chart timeframe, so you can watch a 2-minute chart while tracking 15-minute ORB levels for broader structure.
Toggle each line individually (high, low, midline) on or off
Set custom colors to the lines to match your style
Built for flexibility, simplicity, and clarity.
Also, open source!
CANX Pairs Table© CanxStixTrader
This Indicator simply shows the change in movement of all the major currency pairs using custom time frames and percentage.
Customize time frame, background, text colors and indicator location to suit.
Keep it simple!
Candle % High/Low Bar + HL Order + MA by Barty&PitPapcioWhat does the indicator show?
The "Candle % High/Low Bar + HL Order + MA by Barty&PitPapcio" indicator displays the percentage deviation of each candle’s high and low relative to its open price. The zero line represents the candle’s open — bars above zero show upward movement from the open (to high), bars below zero show downward movement (to low).
Additionally, the indicator plots a dot above or below each bar indicating which came first during the candle — the high or the low — based on data from a lower timeframe two steps below the current chart (for example, on a 1-hour chart it uses 15-minute data).
Finally, the indicator calculates and plots a user-selectable moving average (EMA, SMA, or WMA) of these "first high or low" signals, helping identify trends whether the first move is more often upwards or downwards.
Where do the data come from?
Percentage values are calculated directly from the current chart’s candles:
highPerc=(High−Open)/Open×100%,
lowPerc=(Low−Open)/Open×100%
The timing of the first high or low for each candle is retrieved from a lower timeframe, stepping down two levels from the current timeframe (e.g. from 1H to 15 min), providing better precision in detecting the order of highs and lows that may be blurred on higher timeframes.
Additional features:
Full customization of colors for bars, dots, zero line, grid, and thicknesses.
Background grid with adjustable scale and style.
Safety checks for missing lower timeframe data.
A moving average smoothing the sequence of first high/low signals to reveal directional tendencies.
Suggested strategy for technical analysis support
Identify dominant candle direction: If the dot often appears above the bar (first high), it indicates buying pressure; if below (first low), selling pressure dominates.
Use percentage deviations: Large percent bars indicate heightened volatility and potential reversal points.
Moving average on order signals: The EMA of high/low first signals smooths the noise, showing the dominant trend in the sequence of price moves, useful for filtering other signals.
Combine with other tools: This indicator can act as a directional filter on multiple timeframes, synergizing well with momentum indicators, RSI, or support/resistance levels to confirm move strength.
Lots of love, Bartosz
CANX MA Crossover© CanxStixTrader
Moving average crossover systems measure drift in the market. They are great strategies for time-limited traders. KEEP IT SIMPLE
This strategy works both for buys and sells using the reaction line to guide your position against the reactions.
HOW TO USE THE INDICATOR
1) Choose your market and timeframe.
2) Choose the length.
3) Choose the multiplier.
4) Choose if the strategy is long-only or bidirectional (longs & shorts).
TIPS
The strategy works best in bullish markets as that is the primary direction that market such as stocks, indexes and metals like to move.
- Increase the multiplier to reduce whipsaws
- Increase the length to take fewer trades
- Decrease the length to take more trades
- Try a Long-Only strategy to see if that performs better.
The base set up when you load the indicator is for the 1 minute chart on gold. We found that it also works well on the US Indexes. For other markets you may need to change the length and multiplier to suit the market and back test its results.
Multi Moving Average with CustomizationCore Functionality
The indicator allows you to display up to 5 different moving averages on your chart simultaneously.
Each moving average can be fully customized with its own settings.
You can choose between
1. Simple Moving Average (SMA),
2. Exponential Moving Average (EMA)
3. Weighted Moving Average (WMA) types
Multi-Timeframe Support
One standout feature is the ability to display higher timeframe moving averages on lower timeframe charts.
For example, you can show a 200 EMA from the daily chart while viewing a 15-minute chart.
Advanced Visualization Features
The indicator includes several visualization enhancements:
1. MA Cloud - Creates a filled area between any two selected moving averages. The cloud automatically changes color based on which MA is on top - typically green when the faster MA is above (bullish) and red when below (bearish).
2. Golden/Death Cross Detection - Automatically detects and marks important MA crossover events:
* Golden Cross: When a shorter-term MA crosses above a longer-term MA (bullish signal)
* Death Cross: When a shorter-term MA crosses below a longer-term MA (bearish signal)
3. Trend Background - Colors the entire chart background based on whether price is above or below a specified MA, giving a clear visual indicator of the overall trend.
Alert System
The indicator can generate alerts when price crosses above or below any selected moving average. This feature is useful for automated trading signals or notifications, and can be configured to trigger once per bar.
Flexible Architecture
The code uses several programming techniques to maximize flexibility:
* Switch statements for selecting MA types and cloud values
* Conditional logic throughout the code
* Function abstraction for calculating MAs and handling multi-timeframe display
* String identifiers to select which MAs to use for cloud visualization
Unique Technical Aspects
1. The multi-timeframe plotting function solves the common problem of higher timeframe MAs looking distorted on lower timeframe charts.
2. The cloud feature uses string identifiers to select which MAs to use, allowing for any combination.
3. The indicator employs smart conditional logic to handle complex decision trees efficiently.
4. Every visual aspect (colors, line widths, display conditions) is customizable through the settings.
This indicator combines multiple technical analysis tools into a single, highly configurable package that can adapt to different trading styles and timeframes.
Its ability to correctly display higher timeframe MAs on lower timeframe charts makes it particularly valuable for traders who analyze multiple timeframes simultaneously.
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.
Smooth Fibonacci BandsSmooth Fibonacci Bands
This indicator overlays adaptive Fibonacci bands on your chart, creating dynamic support and resistance zones based on price volatility. It combines a simple moving average with ATR-based Fibonacci levels to generate multiple bands that expand and contract with market conditions.
## Features
- Creates three pairs of upper and lower Fibonacci bands
- Smoothing option for cleaner, less noisy bands
- Fully customizable colors and line thickness
- Adapts automatically to changing market volatility
## Settings
Adjust the SMA and ATR lengths to match your trading timeframe. For short-term trading, try lower values; for longer-term analysis, use higher values. The Fibonacci factors determine how far each band extends from the center line - standard Fibonacci ratios (1.618, 2.618, and 4.236) are provided as defaults.
## Trading Applications
- Use band crossovers as potential entry and exit signals
- Look for price bouncing off bands as reversal opportunities
- Watch for price breaking through multiple bands as strong trend confirmation
- Identify potential support/resistance zones for placing stop losses or take profits
Fibonacci Bands combines the reliability of moving averages with the adaptability of ATR and the natural market harmony of Fibonacci ratios, offering a robust framework for both trend and range analysis.
Q Impulse EntryQ Impulse Entry
A directional entry system combining impulse breakouts, Elder's momentum confirmation, and ADX trend validation. Designed for clean trade setups with multi-step filtering, entry markers, and real-time alerts.
🔧 Core Logic
This is not a basic mashup — each filter plays a distinct technical role:
1. Impulse Breakout Engine
• Detects sharp directional price breaks using ATR-adjusted dynamic zones
• Impulse window controls sensitivity to local highs/lows
2. Elder Momentum Filter
• Confirms signal using MACD histogram and EMA alignment
• Blocks entries when internal momentum contradicts price move
3. ADX Trend Strength Filter
• Uses threshold-based ADX logic to validate trend power
• Filters out noise in flat or weak markets
The system requires all three filters to agree before confirming an entry.
📈 Visual Feedback
• ⇑ / ⇓ arrows mark confirmed entry signals
• Colored entry dots plotted at signal price help confirm timing and aid in multi-position layering
• Impulse breakout zones and EMA are displayed for directional context
• Clean layout, no repainting, designed for real-time use
⚙️ Configurable Inputs
• Impulse Window — controls breakout signal sensitivity
• ATR Multiplier — defines width of impulse breakout zones
(Elder and ADX filters are embedded and fine-tuned)
✨ Highlights
• Triple-filter signal logic = fewer false positives
• Entry dots + arrows for visual clarity and scaling in
• Lightweight, non-repainting, and alert-ready
• Best suited for Forex and all timeframes
• Ideal for breakout, trend-following, or hybrid systems
• Built-in alerts and customizable zones
• Always apply risk management suited to your capital and strategy
Trade with clarity — stay for quality.
(FVC) Fractal Volatility Compression (DAFE) (FVC) Fractal Volatility Compression
See the Market’s Volatility DNA.
The Fractal Volatility Compression (FVC) is a next-generation tool for traders who want to see volatility compression and expansion across multiple timeframes and volatility engines—not just price, but the very structure of volatility itself.
What Makes FVC Unique?
Dual-Engine Volatility:
Plots both classic price-based (Stdev) and meta-volatility (VoVix) compression/expansion, so you can see when the market is “coiling” or “exploding” on multiple levels.
Fractal, Multi-Timeframe Analysis:
Measures volatility on short, medium, and long timeframes, then normalizes each as a Z-score. The result: a true “coiled spring” detector that works on any asset, any timeframe.
Threshold Lines You Control:
Yellow center line: Your neutral baseline.
Green compression line: When crossed, the market is “spring-loading.”
Red expansion line: When crossed, volatility is breaking out.
All lines are solid, clean, and end before the dashboard for a professional look.
Agreement Fill: When both engines agree (both above or both below the center line), a bright fill highlights the zone—red for expansion, green for compression.
Signature Dashboard & Info Line:
Dashboard (right-middle) shows all Z-scores and FVC values, color-coded for instant clarity.
Compact info label for mobile or minimalist users.
Inputs & Customization
Thresholds: Set the yellow, green, and red lines to match your asset, timeframe, and risk tolerance.
Timeframes & Lengths: Tune the short, medium, and long volatility windows for your style.
Toggle Lines: Show/hide Stdev or VoVix FVC lines independently.
Dashboard & Info Line: Toggle for your workflow and screen size.
How to Use
Compression (below green): Market is “coiling” across timeframes—watch for explosive moves.
Expansion (above red): Volatility is breaking out—expect regime shifts or trend acceleration.
Agreement Fill: When both lines agree, the signal is strongest.
Not a Buy/Sell Signal: These are regime and structure signals—combine with your own
strategy and risk management.
Why should you use FVC?
See what others can’t:
Most tools show only one dimension of volatility. FVC reveals the fractal DNA of market compression and expansion. Works on any asset, any timeframe. Professional, clean, and fully customizable.
Fractal Volatility Compression (FVC):
Because the next big move is born in the market’s hidden compression.
For educational purposes only. Not financial advice. Always use proper risk management
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
Kinetic Price Momentum Oscillator📈 Kinetic Price Momentum Oscillator (Sri-PMO)
Author's Note:
This script is an educational and custom-adapted visualization based on the concept of the Price Momentum Oscillator (PMO). It is not a direct clone of any proprietary implementation, and it introduces enhancements such as timeframe sensitivity, customizable smoothings, multi-timeframe analysis, and visual trend meters.
🔍 Overview:
The Kinetic Price Momentum Oscillator (Kinetic-PMO) is a dynamic momentum indicator that analyzes price rate of change smoothed with dual exponential moving averages. It offers a clear view of momentum trends across multiple timeframes—the chart's current timeframe, the 1-hour timeframe, and the 1-day timeframe. It includes optional visual cues for zero-line crossovers, trend ribbon fills, and a daily trend meter.
🧮 Calculation Logic:
At its core, Kinetic-PMO calculates momentum by:
Measuring Rate of Change (ROC) over 1 bar.
Applying double EMA smoothing:
The first smoothing (len1) smooths the ROC.
The second smoothing (len2) smooths the result further.
This produces the main KPMO Line.
A third EMA (sigLen) is applied to the KPMO line to produce the Signal Line.
The formula includes a multiplier of 10 to scale values.
pinescript
Copy
Edit
roc = ta.roc(source, 1)
kmo = ta.ema(10 * ta.ema(roc, len1), len2)
signal = ta.ema(kmo, sigLen)
To allow responsiveness across timeframes, the script provides sensitivity inputs (sensA, sensB, sensC) which dynamically scale the smoothing lengths for different contexts:
Intraday (current chart timeframe)
Hourly (1H)
Daily (1D)
🧭 Features:
✅ Multi-Timeframe Calculation:
Intraday: Based on current chart resolution
1H: PMO for the hourly trend
1D: Daily trend meter using KPMO structure
✅ Trend Identification:
Green if PMO is above Signal Line (bullish)
Red if PMO is below Signal Line (bearish)
Daily Trend Meter includes nuanced color mapping:
Lime = Bullish above zero
Orange = Bullish below zero
Red = Bearish below zero
Yellow = Bearish above zero
✅ Custom Visual Enhancements:
Optional filled ribbons between KPMO and Signal
Optional zero-line crossover background highlight
Compact daily trend meter displayed as a color-coded shape
🛠 Customization Parameters:
Input Description
Primary Smoothing Controls ROC smoothing depth (1st EMA)
Secondary Smoothing Controls final smoothing (2nd EMA)
Signal Smoothing Controls EMA of the PMO line
Input Source Default is close, but any price type can be selected
Sensitivity Factors Separate multipliers for intraday, 1H, and 1D
Visual Settings Toggle zero-line highlight and ribbon fill
🧠 Intended Use:
The Kinetic-PMO is suitable for trend confirmation, momentum divergence detection, and entry/exit refinement. The multi-timeframe aspect helps align short-term and long-term momentum trends, supporting better trade decision-making.
⚖️ Legal & Attribution Statement:
This script was independently created and modified for educational and analytical purposes. While the concept of the PMO is inspired by technical analysis literature, this implementation does not copy or reverse-engineer any proprietary code. It introduces custom parameters, visualization enhancements, and multi-timeframe logic. Posting this script complies with TradingView’s policy on derivative work and educational indicators.
A.K Dynamic EMA/SMA / MTF S&R Zones Toolkit with AlertsThe A.K Dynamic EMA/SMA / MTF Support & Resistance Zones Toolkit is a powerful all-in-one technical analysis tool designed for traders who want a clean yet comprehensive market view. Whether you're scalping lower timeframes or swing trading higher timeframes, this indicator gives you both the structure and signals to take action with confidence.
Key Features:
✅ Customizable EMA/SMA Suite
Display key Exponential and Simple Moving Averages including 5, 9, 20, 50, 100, and 200 EMAs, plus optional 50 SMA for trend filtering. Each line can be toggled individually and color-customized.
✅ Multi-Timeframe Support & Resistance Zones
Automatically detects dynamic S/R zones on key timeframes (5min, 15min, 30min, 1H, 4H, 1D) using swing highs/lows. Zones are color-coded by strength and whether they're broken or active, providing a clear visual roadmap for price reaction levels.
✅ Zone Strength & Break Detection
Distinguishes between strong and weak zones based on price proximity and reaction depth, with visual shading and automatic label updates when a level is broken.
✅ Price Action-Based Buy/Sell Signals
Generates BUY signals when bullish candles react to strong support (supply) zones, and SELL signals when bearish candles react to strong resistance (demand) zones. All logic is adjustable — including candle body vs wick detection, tolerance range, and strength thresholds.
✅ Alerts Engine
Built-in TradingView alerts for price touching support/resistance or triggering buy/sell signals. Perfect for automation or hands-free monitoring.
✅ Optional Candle & Trend Filters
Highlight bullish/bearish candles visually for additional confirmation.
Optional RSI display and 50-period SMA trend filter to guide directional bias.
🧠 Use Case Scenarios:
Identify dynamic supply & demand zones across multiple timeframes.
Confirm trend direction with EMAs and SMA filters.
React quickly to clean BUY/SELL signals based on actual price interaction with strong zones.
Customize it fully to suit scalping, day trading, or swing trading strategies.
📌 Recommended Settings:
Use default zone transparency (65%) and offset (250 bars) for optimal visual clarity.
Enable alerts to get notified when price enters key S/R levels or when a trade signal occurs.
Combine this tool with your entry/exit plan for better decision-making under pressure.
💡 Pro Tip: Add this indicator to a clean chart and let the zones + EMAs guide your directional bias. Use alerts to avoid screen-watching and improve discipline.
Created by:
Version: Pine Script v6
Platform: TradingView
StonkGame AutoLevels+Hey gang — made a new levels script to automatically plot the ones I use the most.
StonkGame AutoLevels+ automatically plots structural price levels from major timeframes — including Yesterday, Last Week, Last Month, Last Quarter, and Last Year — with the option to include up to 6 months of historical monthly open, high, low, and close levels.
Everything’s fully customizable. You pick which timeframes to show, which price types (O/H/L/C) matter, and where the labels appear. Highs are red, lows are lime. Monthly opens are fuchsia, closes are purple — easy to separate at a glance.
Labels auto-stagger to reduce clutter and can be positioned left, right, or center — or turned off completely. You also control how far they sit from price.
The screenshot shows everything turned on just to demo the range — but in practice, I usually stick with the standard levels like Last Week or Last Month, and only show highs and lows (they define structure best IMO).
Clean, contextual, and built for traders who want clarity without noise.
Elliott Wave Noise FilterElliott Wave Noise Filter
Overview
The Elliott Wave Noise Filter is a specialized indicator for TradingView, designed to solve one of the biggest challenges in Elliott Wave analysis on lower timeframes: the identification of market noise. By combining multiple advanced filtering techniques, this indicator helps distinguish meaningful price action from random fluctuations.
The Problem
On lower timeframes—especially below 15 minutes—Elliott Wave analysis is significantly impacted by excessive market noise. This noise can lead to misinterpretation of wave structures, making it difficult to execute reliable trading decisions.
The Solution
The Elliott Wave Noise Filter utilizes four powerful methods to detect and filter noise:
ATR-Based Volatility Analysis: Identifies price movements too small to be structurally meaningful
Volume Confirmation: Filters out price moves that occur with insufficient volume
Trend Strength Measurement (ADX): Detects periods of weak trend activity, where noise tends to dominate
Fractal Pattern Recognition: Marks significant turning points that could be relevant for Elliott Wave analysis
Features
Visual Indicators
Background Coloring: Red indicates noise; green signifies a clear signal
Hull Moving Average: Smooths price action and highlights the prevailing trend
Fractal Markers: Triangles mark significant highs and lows
Status Panel: Displays current noise status and ADX value
Customization Options
ATR Period: Adjust the lookback period for ATR calculations
Noise Threshold: Defines the percentage of ATR below which a movement is considered noise
Volume Filter: Can be enabled or disabled
Volume Threshold: Sets the ratio to average volume for a move to be deemed significant
Hull MA Display and Length: Configure the moving average settings
ADX Parameters: Adjust trend strength sensitivity
Use Cases
For Elliott Wave Analysis
Eliminate noise to identify cleaner wave structures
Use fractal markers as potential wave endpoints
Reference the Hull MA for determining the broader trend
For General Trading
Identify high-noise periods to avoid low-quality setups
Spot clearer market phases for better entries
Assess price action quality through visual cues
Multi-Timeframe Approach
Apply the indicator across different timeframes for a comprehensive view
Prefer trading when both higher and lower timeframes align with consistent signals
Optimal Settings
For Very Short Timeframes (1–5 minutes)
Higher Noise Threshold (0.4–0.5)
Longer ATR Period (20–30)
Higher Volume Threshold (1.0–1.2)
For Medium Timeframes (15–60 minutes)
Medium Noise Threshold (0.2–0.3)
Standard ATR Period (14)
Standard Volume Threshold (0.8)
For Higher Timeframes (4h and above)
Lower Noise Threshold (0.1–0.2)
Shorter ATR Period (10)
Lower Volume Threshold (0.6–0.7)
Conclusion
The Elliott Wave Noise Filter is an essential tool for any Elliott Wave analyst or trader working on lower timeframes. By reducing noise and emphasizing significant market movements, it enables more precise analysis and potentially more profitable trading decisions.
Note: As with any technical indicator, the Elliott Wave Noise Filter should be used as part of a broader trading strategy and not as a standalone signal for trade execution.
