Fibonacci Cloud | Multi-Timeframe Fibonacci ScannerFibonacci Cloud stacks three independent retracement grids (short, medium, and long lookback windows) on top of each other and watches for the moments when price sits near multiple levels from multiple grids at once.
The idea is simple: a fib level that only shows up on one lookback length is easy to dismiss as coincidence, but a zone where the short-term 0.618 lines up with the medium-term 0.5 and the long-term 0.382 is a lot harder to ignore. The script counts how many of the fifteen tracked levels price is currently touching (within a configurable tolerance band) and only considers a trade when that confluence count clears your threshold.
From there, two optional filters can sharpen the signal further: an EMA trend filter (only take longs above the trend line, shorts below it) and an RSI momentum filter (skip longs when momentum is deeply negative, skip shorts when it's deeply positive). Both are off/loose by default so the confluence logic itself stays the star of the show — tighten them if you want fewer, higher-conviction trades.
Features
Three-lookback Fibonacci confluence engine (15 levels tracked simultaneously)
Adjustable confluence tolerance and minimum-overlap threshold
Optional EMA trend filter with clean directional fill
Optional RSI momentum filter (confirmation-style, not fade-style)
Long-only / short-only / both trade direction control
Fixed % stop-loss with configurable R:R take-profit
Minimal two-tone visual design — trend fill, soft confluence background tint, triangle entry markers
Built-in alert conditions for both long and short signals
Tips
Start loose (Min Confluent Levels = 1, wide tolerance) to see how many setups the confluence engine finds on your instrument, then tighten gradually rather than starting strict and wondering why trade count is low.
The three lookback lengths (default 20/50/100) are tunable — pairing a short scalping lookback with a much longer swing lookback tends to produce more meaningful confluence zones than three lookbacks bunched close together.
Try disabling the trend filter entirely on ranging instruments and re-enabling it on trending ones — this single toggle changes the strategy's character more than almost any other input.
Backtest the R:R and stop % together rather than in isolation; a looser confluence threshold usually pairs better with a tighter R:R target.
Warnings
This is a mean-reversion/confluence-zone tool, not a breakout system — it will underperform in strongly trending, low-pullback conditions.
Backtest results are historical and do not guarantee future performance. Past performance shown in the strategy tester does not account for slippage, liquidity gaps, or execution differences on your specific broker/exchange.
The looser default settings favor trade frequency over precision — verify the win rate and expectancy for your instrument and timeframe before trading it live.
This script is provided for research and educational purposes only and is not financial advice.
Strategy
EMA 50x200 Cross Trend Barometer The 50/200 moving-average cross is one of the most-watched signals in markets:
the "golden cross" and the "death cross." Trend Barometer turns that classic into
a clean, at-a-glance read on the prevailing regime, the way a barometer reads the
pressure before the storm.
When the fast average (50) sits above the slow one (200), the market is in a
risk-on regime and the chart glows fair-weather green (☀). When it slips below,
conditions turn risk-off and the chart shifts to storm red (⛈). One look tells you
which side of the trend you're standing on.
WHAT IT SHOWS
• Regime-coloured EMA 50 and EMA 200, with a shaded gap between them
• A soft background tint for the current regime (risk-on / risk-off)
• Golden-cross ▲ and death-cross ▼ markers on the exact flip bar
• A compact weather panel: current regime, bars held in it, and the last cross
• Alerts on every regime flip
MAKE IT YOURS
Switch between EMA and SMA, set your own fast/slow lengths (50/200 by default),
and recolour everything to match your chart.
HONEST BY DESIGN
This is a regime lens, not a buy/sell system. A barometer reports the conditions;
it doesn't place your trades. The 50/200 cross is trend-following context: great for
reading the prevailing regime and filtering out noise, but it lags turns and is not
an entry trigger on its own. Use it to frame your bias and manage risk alongside
your own analysis.
NO REPAINTING
Some indicators quietly rewrite their own past: you look back and see a signal at a
perfect spot that simply wasn't there when the bar formed. That flatters them in
hindsight. This one can't do that. It only ever reads the current and earlier bars,
never the future (no request.security, no forward references), so a cross printed
two years ago sits exactly where it printed at the time.
One caveat, true of every indicator: the newest bar is still forming, so the colour
can flicker while it's live. A cross is only final once that bar closes. Indicator
Bitcoin SuperFlip | Supertrend EMA Trend-Following StrategySuperFlip combines two of the most widely tested trend-following tools on TradingView — the ATR-based Supertrend and a long-period EMA trend filter — into a single directional strategy built and tuned for BTCUSD on the 1-hour chart. The goal isn't novelty; it's a clean, well-understood core (Supertrend flips) layered with a simple confirmation filter (EMA200) and an optional secondary filter (ADX) to reduce whipsaw entries during choppy, low-conviction conditions.
This is a trend-following, not mean-reversion system. It will have a lower win rate than a typical scalping strategy, and that is by design — trend systems make their money from a smaller number of large winning trades that outweigh a higher frequency of small losses.
How it works
Supertrend (ATR-based) tracks the prevailing trend direction and flips when price crosses its dynamic ATR band. This flip is the core trigger for both entries and exits.
EMA200 trend filter only allows longs when price is above the 200-period EMA, and shorts when price is below it — filtering out counter-trend signals that go against the higher-timeframe bias.
Optional ADX filter (off by default) adds a trend-strength gate, only allowing entries when ADX is above a user-set threshold (default 20). This is intended to reduce entries during flat, directionless conditions where Supertrend tends to whipsaw.
Flip-based exits: positions close automatically when Supertrend flips in the opposite direction — this is the primary exit mechanism.
Optional Stop Loss / Take Profit: percentage-based SL/TP can be layered on top of the flip exit as a secondary risk cap (off by default in the current preset — see warnings below).
Features
Toggleable ADX trend-strength filter with adjustable length, smoothing, and threshold
Optional percentage-based stop loss and take profit
Adjustable Supertrend ATR length/factor and EMA filter length
Visual glow-line Supertrend rendering with layered gradient fill toward price
Bullish/bearish flip markers, separate from actual trade-entry markers, so you can see when Supertrend flips vs. when a trade was actually filtered/taken
Multiple color presets (Classic, Aqua, Cosmic, Cyber, Neon, Custom)
Optional bar and background tinting for at-a-glance trend state
Commission (0.075%) and slippage (1 tick) modeled into backtest results by default
Recommendations
Built and tested for BTCUSD, 1H timeframe — this is the intended use case; other assets/timeframes will require re-tuning.
Position sizing defaults to 25% of equity per trade rather than 100% — this materially reduces drawdown and PnL volatility versus full-equity compounding, and is a more realistic starting point for evaluation.
If enabling the ADX filter, start around threshold 15-20 and sweep from there — lower values retain more trades at the cost of some whipsaw protection, higher values do the opposite.
Consider re-enabling a wider stop loss (8-10%+) rather than running with SL fully disabled, especially before using on a leveraged instrument.
Always forward-test or paper-trade before committing real capital — historical performance on a fixed backtest window is not a guarantee of future results.
Warnings
No stop loss is enabled by default in this configuration. Running without a stop loss on a leveraged or volatile asset like BTC carries real, uncapped downside risk per trade — enable and size a stop loss appropriate to your risk tolerance before live use.
With low trade counts (roughly 50-100 in typical backtests), a small number of outlier trades can heavily influence headline profit factor and total return figures — inspect the individual trade list, not just summary stats, before trusting the numbers.
High reported PnL% figures are sensitive to default_qty_value (percent-of-equity compounding) and can look far more impressive than the underlying edge actually is. Judge the strategy primarily by win rate, profit factor, and drawdown — not raw percentage return.
Past performance on historical data does not predict future results. This script is provided for educational and research purposes and is not financial advice.
Strategy
Golden Trident | Swing-Anchored VWAP Trend SystemGolden Trident is a long-only, daily-timeframe trend-following strategy built specifically for XAUUSD (spot gold). Rather than relying on a lagging moving-average crossover or a single volatility band, it reads market structure directly — tracking swing highs and lows to determine trend direction — and pairs that with a volume-weighted anchor price that resets at every structural trend change. This gives the strategy a "fair value" reference line that adapts to each new trend leg rather than dragging a fixed-length average behind it.
The strategy is deliberately long-only. Gold has spent most of its liquid trading history in a secular uptrend, and countertrend short entries were found to meaningfully drag down both total return and risk-adjusted performance without adding diversification benefit — so the system simply steps to the sidelines when structure turns bearish, rather than fighting the dominant trend.
Position sizing is intentionally simple: a fixed percentage of equity per trade, compounding as equity grows. Risk management is handled by a single wide "catastrophe" stop rather than a tight trailing stop — the strategy is designed to exit on genuine trend reversal, not to be shaken out by normal daily noise.
How It Works
Swing Structure (Trigger): The strategy tracks rolling swing highs and lows over a configurable lookback. When the most recent extreme is a new high, structure is bullish; when it's a new low, structure is bearish.
Anchored VWAP (Trend Reference): Each time structure flips, the volume-weighted average price calculation resets and begins accumulating fresh from that point — producing a trend-relative fair-value line rather than a static average.
EMA200 Filter (Structure Confirmation): Long entries additionally require price to be trading above the 200-period EMA, keeping trades aligned with the macro trend.
Chop Filter (Volatility Gate): Entries are blocked when recent price range is too narrow relative to ATR — this avoids entering on structural "flips" that occur during sideways consolidation, where they're most likely to reverse immediately.
Exit: Positions close purely on structural trend reversal. No trailing stop is used, since research during development found trailing exits tended to cap winning trades prematurely without meaningfully reducing losses.
Backstop Stop: A wide ATR-based stop exists purely as disaster protection for extreme, unexpected moves — it is not intended to be part of normal trade management.
Features
Swing-structure trend detection (not a lagging indicator crossover)
Self-resetting anchored VWAP trend reference
Optional EMA200 macro trend filter
Optional ATR-based chop/consolidation filter
Configurable backtest date range
Trade outcome visualization (colored boxes showing each closed trade's entry-to-exit range)
Live dashboard showing current structure, volatility state, position size, and open P/L
Gold-themed visual design with gradient trend fill and directional bar coloring
Tips for Use
Timeframe: Designed and tested on the daily chart. Shorter timeframes will likely need proportionally shorter swing/EMA/ATR lengths.
Data quality matters: Backtest only over periods with clean, liquid, consistently-quoted price and volume data. Very long historical ranges on XAUUSD may include gold-standard-era pricing or unreliable volume that will distort results — the built-in date range inputs default to 2010 onward for this reason.
Position sizing: The default equity percentage is aggressive. Test at a lower size first and scale up only after reviewing max drawdown and worst losing-streak length for your specific test window — position sizing should reflect your own risk tolerance, not just backtest profit factor.
Shorting: Short entries exist as a toggle for experimentation, but are off by default based on backtest performance on gold's historical trend bias. Re-enabling changes the strategy's risk profile meaningfully.
Not financial advice: This is a backtesting and educational tool. Past performance on historical data does not guarantee future results.
Strategy
EMA Deviation OscillatorDescription:
Overview
The EMA Deviation Oscillator is a powerful momentum and mean-reversion tool designed to measure the true "thrust" or kinetic energy of price movements. Instead of relying on traditional bounded formulas like the RSI, or lagging two-average systems like the MACD, this indicator calculates the exact percentage distance between the current price and its Exponential Moving Average (EMA).
By treating the EMA as a "center of gravity" (equilibrium), this oscillator helps traders visualize when the price is perfectly balanced, when it is accelerating with explosive momentum, and when the "rubber band" is stretched too far and is due for a pullback.
Why is it different from RSI or MACD?
Zero-Lag Calculation: Unlike MACD, which measures the difference between two historical moving averages, this oscillator measures the Live Price against a single EMA. This means it reacts instantly to price breakouts.
Unbounded Framework: RSI is trapped between 0 and 100, often staying "overbought" while the price continues to rally. The EMA Deviation Oscillator is unbounded. If a crypto asset or stock goes on a massive run, the oscillator will freely stretch to +10%, +20%, accurately showing the magnitude of the move.
Shifting Baseline: The zero line is dynamic—it is the EMA itself. This allows traders to capture profits as the baseline moves up with the trend, rather than returning to a static number.
How to Read the Oscillator:
1. The Zero Line (Equilibrium)
The "0" line represents the exact value of the EMA.
When the oscillator crosses above 0, the price has broken above the EMA (Bullish).
When it crosses below 0, the price has fallen below the EMA (Bearish).
2. Histogram Colors (Momentum)
The histogram intuitively shows the acceleration and deceleration of the trend:
Dark Green: Positive deviation is growing. The uptrend has strong thrust/momentum.
Light Green: Price is still above the EMA, but momentum is fading (early warning for a pullback).
Dark Red: Negative deviation is growing. Sellers are in control with strong downward momentum.
Light Red: Price is below the EMA, but the selling pressure is exhausting.
3. The Signal Line (Orange Line)
A smoothed Simple Moving Average (SMA) of the deviation itself. It acts as a trigger line. When the histogram crosses below the orange line in overbought territory, it’s a strong signal that momentum is shifting.
4. Overbought / Oversold Levels (Mean Reversion)
The dashed red (+3.0%) and green (-3.0%) lines represent extreme deviation zones. (Note: These are fully customizable. For Crypto, you might want to use 5% or 10%. For Forex, 0.5% or 1%). When the oscillator hits these extremes, the price is heavily stretched from its average, and a "snap-back" to the zero line is highly probable.
5. Divergences
This is one of the most effective ways to use the tool. If the price makes a Higher High, but the oscillator makes a Lower High, it indicates that the upward thrust is exhausting, often preceding a sharp reversal.
Settings:
EMA Length (13 by default): Defines your center of gravity. (Lower = more sensitive, Higher = macro trend).
Signal Line Smoothing (5 by default): Adjusts the speed of the orange trigger line.
Overbought/Oversold Levels: Customize the % threshold based on the volatility of the asset you are trading. Indicator
Trend Trigger | EMA Trend Filter + MTF Stochastic Entry with ATROverview
This strategy combines two proven, independent mechanisms rather than inventing a new indicator: a slow-moving EMA trend filter decides which direction is permitted, and a higher-timeframe-confirmed stochastic oscillator decides when to actually enter. Trend and timing are handled by separate logic layers so each does one job well, instead of stacking multiple overlapping conditions that rarely align.
How it works
Trend permission (EMA 38/62): Trades are only allowed in the direction the EMA fast/slow relationship currently supports — longs when fast > slow, shorts when fast < slow. This keeps the strategy from fighting the prevailing trend. This filter can be disabled for a pure counter-trend/mean-reversion test.
Entry timing (MTF Stochastic): The current-timeframe %K/%D stochastic must cross through the midline (50) with rising/falling momentum, and the same stochastic recalculated on the next higher timeframe (auto-stepped: 1m→5m, 1h→4h, 1D→1W, etc.) must agree in direction. This is the same core logic as classic MTF stochastic systems — entries are timed at momentum inflection points that are confirmed on a broader structural timeframe, not just the noisy current one.
Staged, ATR-based risk management: Every position opens with an ATR-scaled hard stop. Once the trade reaches a configurable R-multiple (default 1.0R), the stop moves to breakeven — locking in "no loss" without capping upside. Past a second, larger R-multiple (default 1.5R), the stop begins trailing using ATR (not fixed ticks), so the trailing distance scales with the instrument's actual volatility instead of an arbitrary number.
Secondary exits: A stochastic-fade exit (mirroring the entry logic in reverse) and an optional trend-flip exit close the trade early if the higher-timeframe signal reverses or the EMA trend turns against the position. A time-stop closes any trade that's gone nowhere after N bars.
Distinctive features
Trend and timing are decoupled — you can test pure momentum-timing (trend filter off) versus trend-confirmed pullback entries (trend filter on) with one toggle.
No fixed-tick trailing stop — every risk parameter (initial stop, breakeven trigger, trailing distance) is ATR-scaled, so the same settings behave sensibly across instruments with very different volatility (e.g., a $30 stock vs. a $60,000 crypto asset) without manual re-tuning.
Risk-based position sizing ties trade size directly to the ATR stop distance and a fixed % of equity risked per trade, rather than a flat share/contract count.
A compact confirmation meter (colored bar table) shows trend + stochastic alignment strength at a glance — no cluttered multi-line oscillator overlays on the chart.
Tips for use
Test with the trend filter both on and off separately — they represent genuinely different strategies (trend-following pullback entries vs. pure momentum reversal) and will perform differently depending on the instrument's regime.
Start testing on liquid instruments and a base timeframe of 1H or higher — the automatic higher-timeframe step needs enough bars underneath it to be meaningful; very low timeframes (1–5 min) compress the "higher timeframe" confirmation into something almost as noisy as the entry timeframe itself.
Check Average Win vs. Average Loss in the Strategy Tester, not just win rate — this strategy is built to keep those two numbers close together (via the breakeven/trailing stages), and that ratio is a better health check than win rate alone.
The breakEvenR and trailStartR inputs interact — a very tight breakeven trigger combined with a very close trail can choke off winners before they develop; a very loose one leaves more of the position exposed to giveback. Both are worth walking through several combinations on your specific instrument and timeframe rather than assuming one setting is universally correct.
This is a rules-based tool, not a guarantee — past backtest results don't ensure future performance, and all trading involves risk of loss.
Strategy
Multi EMA SMA Pro - 5/13/20/50/100/200 - MTFMULTI EMA/SMA PRO — 5/13/20/50/100/200 + MTF
Nine independent moving averages in one indicator, each with its own length,
type, timeframe, color and width. Defaults give you the classic 20 / 50 / 100 /
200 on your chart timeframe, with 5 and 13 a click away.
EVERY LINE IS LABELLED
No more guessing which line is which. Each average is tagged at the right edge
with its length — and optionally its type, its timeframe, its current value, and
how far price sits from it in percent. You read "200 D +18.06%" straight off the
chart instead of hovering over lines to find out.
DAILY / WEEKLY / MONTHLY AVERAGES ON ANY CHART
Every slot has a Chart / Daily / Weekly / Monthly / Custom selector, so you can
sit on a 5-minute chart and still see exactly where the daily 200 and the weekly
200 are — the levels that actually decide intraday reversals. Slots 7, 8 and 9
come pre-set to 200 D, 30 W and 200 W. Each higher-timeframe line is tagged with
D, W or M so there is never any ambiguity about what you are looking at. Ask for
a timeframe below your chart and the slot quietly falls back to chart data rather
than returning misleading values.
INFO TABLE
An on-chart panel lists every enabled average, its current value, and how far
price is above or below it in percent, color-coded green and red. It is the
fastest way to tell whether price is extended and due a snap back, or resting on
support. Decimal precision is adjustable.
GOLDEN CROSS / DEATH CROSS, DONE PROPERLY
GC/DC detection is on by default and measured on the DAILY 50 vs 200 no matter
what timeframe you are viewing — so an intraday chart shows the real cross, not a
5-minute imitation of one. Markers carry their own context: "GC 50/200 D".
Lengths, timeframe and MA type are all configurable, or you can point the cross
logic at any two of your plotted lines instead.
EVERYTHING ELSE
- EMA / SMA / WMA / HMA / RMA / VWMA globally, or overridden per line
- Custom source, plot offset, transparency, per-line width and color
- Line / step-line / circles / cross plot styles
- Slope-based coloring (green rising, red falling)
- Ribbon fill between any two averages
- Alerts for price crossing each average, plus golden and death cross
- Palette chosen to stay readable on both light and dark chart backgrounds
A NOTE ON HIGHER-TIMEFRAME DATA
Leave "wait for bar close" off and the daily and weekly lines update live inside
the forming candle, which is usually what you want when trading. The trade-off is
that an intraday cross can appear and then disappear before the session closes.
Turn it on for confirmed, non-repainting values that step one bar late.
If you find this useful, a boost is appreciated. Suggestions and feedback welcome in the comments.
Open-source — feel free to study, fork, and adapt. Indicator
Dynamic Multi-EMA Ribbon (MTF & Auto-Intensity)Description:
The Dynamic Multi-EMA Ribbon is a powerful, highly visual trend-following tool designed to help traders instantly identify market direction, momentum strength, and potential dynamic support/resistance zones.
Instead of cluttering your chart with confusing lines, this indicator intelligently uses a gradient color scheme and dynamically adjusting ribbon fills to give you a clear, immediate read on the market's pulse.
Key Features
Strategic 6-EMA Array: Plots six critical Exponential Moving Averages (50, 100, 150, 250, 500, and 750). To keep the chart clean, the lines are shaded in a smooth visual gradient—the fastest EMA (50) is the darkest, while the slowest (750) is the lightest.
Dynamic Ribbon Intensity: This is the standout feature. The area between the EMAs is filled with a colored ribbon (Green for Bullish, Red for Bearish). As the EMAs diverge (momentum increases), the color becomes richer and more intense. As the EMAs converge (momentum slows down or consolidates), the colors fade, warning you of a potential trend pause or reversal.
Multi-Timeframe (MTF) Capability: Want to see 1-Hour EMAs on a 5-Minute chart? No problem. The indicator includes a built-in MTF setting, allowing you to track higher timeframe trends without switching your current chart view.
Highly Customizable: You have full control over your chart's aesthetics. Toggle the ribbon fills on or off for specific EMA pairs, change the bullish/bearish colors, and adjust the maximum transparency limits to suit your dark or light chart theme. By default, the ribbon fills the space between the 50, 100, and 150 EMAs to prevent visual overload.
How to Use This Indicator
Trend Direction (Color & Order):
Bullish: When faster EMAs are above slower EMAs, the ribbon paints Green.
Bearish: When faster EMAs fall below slower EMAs, the ribbon paints Red.
Momentum Strength (Color Intensity):
Strong Trend: Bright, bold ribbons mean the moving averages are fanning out and momentum is accelerating.
Weakening Trend / Consolidation: Faint, transparent ribbons mean the moving averages are squeezing together. This often precedes a breakout or a trend reversal.
Dynamic Support and Resistance: The various EMA lines, particularly the 200+ period EMAs, frequently act as strong dynamic support in an uptrend or resistance in a downtrend. Look for price reactions when the chart pulls back into the ribbon zones.
Settings Guide
Indicator Timeframe: Leave blank to use the current chart's timeframe, or select a higher timeframe (e.g., 15m, 1H, 1D) for macro trend analysis.
Line Width & Colors: Adjust the thickness of the EMAs and override the default black/gray gradient if desired.
Area Fill Settings: Use the checkboxes to decide exactly where you want the color ribbons applied.
Max Intensity Transparency: Adjust this percentage to make the ribbons brighter or softer at their maximum momentum peaks.
Disclaimer: This script is for educational and informational purposes only. It does not constitute financial advice. Always combine indicators with proper risk management and your own market analysis. Indicator
Coil Breaker | RSI Range CompressionMost RSI strategies fire off static 30/70 thresholds. Coil Breaker does something different: it treats RSI itself as a volatility asset and watches for its own trading range to contract to a multi-month low — a "coil" — before trading the breakout when it releases.
How it works:
Measures RSI's high-minus-low range over the last N bars and ranks it against its own history using a percentile score
When that range compresses into the bottom percentile (default 20%), RSI is flagged as "coiled" — oscillating tightly around 50, momentum dormant
A dynamic Bollinger-style channel is plotted directly around RSI so you can visually watch the coil tighten before it fires
Once a squeeze has been active recently, a breakout above/below the established coil band (not the still-forming one) triggers an entry
Direction is set by an EMA slope filter — the coil tells you something's coming, the EMA tells you which way
Optional ADX filter keeps you out of truly dead, directionless chop
ATR-based stop, fixed R-multiple target, and equity-percent risk sizing so every trade risks a constant dollar amount
Important — read before trading:
This is a breakout/momentum system, not a mean-reversion one, and it behaves accordingly: expect a low win rate (often 30–40%) alongside a high average win/loss ratio. Most coil breakouts fail or chop — you're paying for early entry with more false signals. The edge comes from asymmetric payoff (2R+ winners vs. 1R losers), not from being right often. Judge this strategy on profit factor and expectancy, not win rate. If a 60%+ win rate is what you're looking for, this isn't that system.
Tips:
Backtest coilLen, pctLen, and the percentile threshold across your specific instrument/timeframe — coil dynamics vary a lot between assets
Watch the equity curve shape, not just the total return — make sure gains aren't carried by one or two outlier trades
Works best on instruments/timeframes with genuine volatility cycles (expansion/contraction), not ultra-choppy or illiquid markets
Pair with higher-timeframe context if you want to filter out counter-trend coil breaks
Strategy
Multi-Confirmation Swing IndicatorMulti-Confirmation Swing Indicator is a multi-confirmation technical analysis indicator designed for traders who want to analyze trend direction, momentum, support/resistance, breakouts and potential swing entries from one chart.
Instead of relying on a single indicator, the system combines several independent components to provide a broader view of market structure.
The indicator combines:
EMA trend structure
RSI momentum confirmation
Smoothed Heikin Ashi
Dynamic trendlines with breakout detection
Volume-based support and resistance zones
Zone Shift trend detection
Trend initiation and retest levels
Impulse MACD
Swing BUY/SELL signals
Support/resistance breakout and hold signals
The objective is not to predict every market move, but to help traders determine whether multiple pieces of technical evidence are aligned.
How to Read the Indicator
The easiest way to use the indicator is to think of it as a confirmation system.
Don't treat every individual marker as a trade signal.
Instead, look for confluence.
🟢 Bullish Environment
A stronger bullish setup occurs when several of the following are aligned:
EMA 21 > EMA 55
Price is above the EMA structure.
EMA 21 and EMA 55 are rising.
RSI is above the bullish threshold.
Smoothed Heikin Ashi is bullish.
Zone Shift indicates an upward trend.
Price breaks above a resistance/trendline.
Former resistance begins behaving as support.
Impulse MACD confirms positive momentum.
A BUY signal appears after the above conditions align.
The more confirmations that agree, the stronger the overall technical picture.
🔴 Bearish Environment
A stronger bearish setup occurs when:
EMA 21 < EMA 55
Price is below the EMA structure.
EMA 21 and EMA 55 are falling.
RSI is below the bearish threshold.
Smoothed Heikin Ashi is bearish.
Zone Shift indicates a downward trend.
Price breaks below support/trendline.
Former support begins behaving as resistance.
Impulse MACD confirms negative momentum.
A SELL signal appears after the above conditions align.
Again, the objective is confirmation rather than prediction.
Understanding the Main Components
1. EMA Trend Structure
The EMA component uses three moving averages:
Fast EMA — 9
Trend EMA — 21
Major Trend EMA — 55
The basic interpretation is:
Bullish
Price > EMA 9 > EMA 21 > EMA 55
Bearish
Price < EMA 9 < EMA 21 < EMA 55
This helps identify whether short-, medium- and longer-term momentum are aligned.
The EMA settings can be adjusted from the indicator inputs.
2. RSI Confirmation
RSI is used as a momentum filter.
Default thresholds:
Bullish: RSI > 55
Bearish: RSI < 45
The purpose isn't to simply buy when RSI is high or sell when RSI is low.
Instead, RSI helps answer:
"Is momentum supporting the current trend?"
3. Smoothed Heikin Ashi
The Smoothed Heikin Ashi component attempts to reduce some of the noise present in normal candles.
It can help visually identify:
bullish phases
bearish phases
trend transitions
continuation periods
A series of bullish Smoothed Heikin Ashi candles together with bullish EMA structure provides stronger trend confirmation than either component alone.
Likewise for bearish conditions.
4. Dynamic Trendlines
The trendline component identifies swing highs and swing lows and creates dynamic trendlines from them.
It can identify:
Upward breakout
Price breaks through a descending resistance trendline.
Downward breakout
Price breaks through an ascending support trendline.
The B markers represent detected trendline breaks.
These are useful for identifying potential changes in short-term market structure.
5. Volume-Based Support & Resistance
The support/resistance component identifies potential zones around significant pivot areas while incorporating volume information.
The zones can help traders identify:
potential support
potential resistance
support breaks
resistance breaks
resistance becoming support
support becoming resistance
Example
If resistance is broken:
Resistance → Support
A subsequent successful retest of that level can provide additional bullish confirmation.
Similarly:
Support → Resistance
can provide bearish confirmation after a downside break.
6. Zone Shift
Zone Shift provides another view of the broader trend.
It uses a combination of:
EMA
HMA
price range/distance
trend initiation level
The indicator can switch between bullish and bearish states.
It also identifies potential retests of the trend initiation level.
This can be particularly useful for swing traders because it provides context beyond a single candle.
7. Impulse MACD
Impulse MACD provides an additional momentum layer.
It helps identify:
positive momentum
negative momentum
momentum expansion
momentum contraction
It should not be interpreted independently as a buy/sell system.
Instead, use it as another confirmation layer.
BUY Signal
The BUY signal is designed to appear when the primary swing-trend conditions become bullish.
The underlying logic considers factors such as:
EMA trend
EMA alignment
EMA slope
price position relative to the fast EMA
two-bar confirmation
RSI momentum
The system also prevents repeated BUY labels while the same bullish condition remains continuously active.
Ideal interpretation
Trend + momentum + structure + confirmation = stronger setup
Not:
"BUY label = guaranteed buy."
SELL Signal
The SELL signal works in the opposite direction.
It considers:
bearish EMA trend
bearish EMA alignment
declining EMA structure
price below the fast EMA
two-bar confirmation
RSI weakness
Repeated SELL signals are also filtered.
How I Recommend Using It
Rather than trading every signal, use a 3-stage approach.
Stage 1 — Identify the Trend
First ask:
Is the market bullish, bearish or unclear?
Look at:
EMA 21/55
EMA stacking
Zone Shift
Smoothed Heikin Ashi
If these disagree significantly, consider the market unclear.
Stage 2 — Look for Structure
Once the trend is identified, look for:
support/resistance
trendline breakout
breakout/retest
resistance becoming support
support becoming resistance
This helps avoid entering simply because an indicator changed color.
Stage 3 — Look for Momentum Confirmation
Finally check:
RSI
Impulse MACD
EMA slope
BUY/SELL confirmation
A setup where multiple components agree is generally more interesting than an isolated signal.
Example Bullish Setup
A potential swing-long setup could look like:
1. EMA 21 > EMA 55
↓
2. Price > EMA 9 > EMA 21
↓
3. Zone Shift turns bullish
↓
4. Resistance/trendline breaks
↓
5. Price retests the broken resistance
↓
6. RSI remains above bullish threshold
↓
7. Impulse MACD supports bullish momentum
↓
8. BUY signal appears
This creates a confluence-based setup rather than relying on one indicator.
Example Bearish Setup
The reverse:
EMA 21 < EMA 55
↓
Price < EMA 9 < EMA 21 < EMA 55
↓
Zone Shift bearish
↓
Support/trendline breaks
↓
Retest fails
↓
RSI below bearish threshold
↓
Impulse MACD bearish
↓
SELL signal
Again, this is a framework for analysis—not a guarantee of future price movement.
Best Use Cases
The indicator is primarily designed for:
Swing Trading
Good fit for traders holding positions for several candles to several weeks.
Trend Following
Useful when markets establish clear directional movement.
Breakout Trading
The trendline and support/resistance components can help identify structural breaks.
Breakout Retests
Useful for watching former resistance become support or former support become resistance.
Trend Confirmation
Useful when traders want multiple technical factors visible on a single chart.
What This Indicator Is NOT
This is important for the TradingView publication.
This indicator does not guarantee profitable trades or predict future prices.
It should not be treated as:
financial advice
a standalone automated trading system
a guarantee of trend continuation
a guaranteed entry/exit system
a substitute for risk management
Signals can fail, particularly during:
sideways markets
low-volume markets
sudden news events
high volatility
false breakouts
Always combine the indicator with appropriate position sizing and risk management. Indicator
3 EMA Trend by TradeZeneThree EMAs in 1 Indicator
Overview
The 3 EMAs in 1 Indicator is a clean, lightweight trend-following tool that plots three customizable Exponential Moving Averages (EMAs) on a single chart, making it easy to identify the short-, medium-, and long-term market trend at a glance.
Designed for traders who prefer simplicity over clutter, this indicator provides visual trend confirmation through subtle background coloring while keeping the chart clean and easy to read.
Features
✅ Three fully customizable EMAs
EMA 1 (Default: 9)
EMA 2 (Default: 27)
EMA 3 (Default: 108)
✅ Individual show/hide options for each EMA
✅ Automatic trend background
Light Blue: Price is above EMA 2 (Bullish Bias)
Light Orange: Price is below EMA 2 (Bearish Bias)
✅ Lightweight and fast
Works smoothly on all timeframes and market instruments.
Suggested Usage
Many traders use the three EMA combination to:
Identify the overall market trend
Stay on the right side of momentum
Filter counter-trend trades
Improve trade selection alongside price action
Combine with support/resistance, VWAP, market structure, or volume analysis
This indicator is intentionally simple so it can fit into almost any trading strategy.
Default Settings
EMA 1: 9
EMA 2: 27
EMA 3: 108
These values can be customized to suit your trading style.
Disclaimer
This indicator is provided for educational and informational purposes only. It should not be considered financial or investment advice. Trading involves risk, and past performance does not guarantee future results. Always perform your own analysis and manage risk appropriately.
If you find this indicator useful, please consider giving it a 👍, adding it to your favorites, and share with your trader friends.
Happy Trading! Indicator
UPDATED: COMBO - EMA/LRI/SuperTrend/HMA StrategyOverview
The EMA / LRI / SuperTrend / HMA Execution Suite is a streamlined overlay designed for intraday momentum traders, scalpers, and trend followers. It combines dynamic trend baselines, statistical breakout evaluation, and multi-tier moving average filters into a single, highly performant script.
By focusing purely on high-probability trend structure and dynamic fair value, this indicator keeps your chart visually clean and clutter-free for quick execution.
Key Features & Components:
Core Purpose: An advanced multi-indicator technical suite specifically designed for futures and stock trading.
Moving Averages & Momentum: Integrates a customizable Exponential Moving Average (EMA), a versatile Hull Moving Average (HMA) with both single and 3-HMA crossover modes, and a directionally-colored Linear Regression Index (LRI) for momentum tracking.
Breakout Probability Engine: Features a SuperTrend overlay enhanced with a relative volume Gaussian Kernel Density Estimation (KDE) model to calculate breakout strength and display confidence percentage labels.
Visual Adjustments: Includes fully customizable vertical offsets and connecting lines for the probability bubbles to maintain clear chart readability.
Comprehensive Alerts: Built-in alert conditions for trend flips, high-confidence breakouts, and moving average or price crossovers against the LRI.
Indicator
Multi-Timeframe Trend Matrix [JOAT]Multi-Timeframe Trend Matrix
Reads several timeframes with several methods at once and scores their agreement into a single alignment signal — without lookahead.
What it is
Trading a single timeframe blinds you to the larger context; watching many by eye is slow and inconsistent. This indicator evaluates a grid of timeframes and trend methods, turns the whole grid into one alignment score, and signals when top-down agreement forms. It is an original multi-timeframe aggregation tool built to avoid the common pitfalls of higher-timeframe requests.
How it works
• The matrix — a set of higher and lower timeframes is each assessed by several independent trend methods (such as a moving-average relationship, a directional trend measure and a momentum read). Each cell of the grid returns simply bullish or bearish, so the picture is easy to interpret.
• No lookahead — every higher-timeframe value is pulled with lookahead disabled, so the indicator never borrows future data from an unclosed higher-timeframe bar. This is a deliberate, disclosed design choice that keeps the signals honest and non-repainting on historical bars.
• Alignment score — the grid is condensed into one signed score representing how strongly all timeframes and methods agree. Full agreement produces a strong reading; a split grid produces a weak, near-neutral one.
• State-machine signals — a Buy fires when alignment turns sufficiently bullish from a non-bullish state; a Sell is the mirror. Requiring a state change means the matrix will not re-signal the same direction repeatedly — the signals are self-spacing.
Trade levels
Each signal draws a red risk box to the ATR stop and a green reward box to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable alignment-matrix panel displays every timeframe-by-method cell as bullish or bearish, a bipolar alignment-score headline, the active signal, a conviction estimate, and a live first-target-before-stop tally from closed bars only. The grid shows exactly which timeframes agree and which disagree.
How to use it
• Works on any asset; pick a base timeframe and let the grid supply the higher-timeframe context.
• Favour entries when the grid is broadly aligned; be cautious when it is mixed.
• Use it as a top-down filter alongside your own entry method, or take its aligned signals directly.
Settings
The set of timeframes, the methods and their lengths, the alignment threshold, ATR risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The contribution is the aggregation framework: a disciplined, lookahead-free multi-timeframe, multi-method grid condensed into one transparent alignment score with a state-machine trigger. Seeing the full grid — not just a final arrow — is what lets a trader trust or override the signal for themselves.
Notes and limitations
• Higher-timeframe values update only as those bars close, so alignment can shift when a higher-timeframe bar completes — this is expected and prevents lookahead bias.
• Strong alignment can still precede a reversal; agreement is context, not certainty.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicator
Strategy
Indicator
EMA Pro+ Suite# EMA Pro+ Suite
**A multi-layer EMA confluence framework for reading market state at a glance.**
---
## What It Is
EMA Pro+ Suite is an overlay indicator built around three exponential moving averages — a Fast (10), Mid (20), and Slow (50) EMA — organized into a structured three-layer state engine that tells you the current market regime, momentum direction, and whether price is in or out of alignment with that regime. Rather than treating each EMA in isolation, the suite reads them together as a system and surfaces a single, coherent market state at all times.
A corner dashboard table updates in real time, giving you an instant read on bias, momentum, alignment, EMA slopes, and price extension — without having to scan the chart manually.
---
## How It Works
The indicator evaluates three distinct layers on every bar:
**Layer 1 — Bias (Trend Regime)**
Defined by price relative to the 50 EMA. Price above = bullish bias. Price below = bearish bias. This is the macro filter — it determines which direction setups should be taken in.
**Layer 2 — Momentum**
Defined by the 10 EMA relative to the 20 EMA. When the fast EMA is above the mid EMA, momentum is bullish. When below, momentum is bearish. Momentum alignment with bias is the confirmation layer.
**Layer 3 — Price vs Fast EMA**
When bias and momentum are aligned but price is on the wrong side of the 10 EMA, the indicator flags a potential pullback or exhaustion condition. In a full bull regime, price dipping below the 10 EMA may represent a high-quality entry opportunity — or an early warning of trend exhaustion. Context determines which.
**Slope Engine**
Each EMA is evaluated for slope using a configurable lookback. RISING / FLAT / FALLING is displayed per EMA in the dashboard. A momentum flip on flat EMAs carries significantly less weight than one on rising or falling EMAs — this is critical for filtering out noise in ranging conditions.
**Price Distance from 50 EMA**
Tracks how extended price is from the slow EMA as a percentage. Large positive or negative readings flag mean reversion risk.
**Bar & Background Coloring**
- Green background + green bars = full bull alignment
- Red background + red bars = full bear alignment
- Yellow bars = conflicting bias and momentum (mixed / transitional state)
- Aqua bars = bull regime, price pulling back below 10 EMA
- Fuchsia bars = bear regime, price popping above 10 EMA
**Cross Signals**
- `M↑` (green) — 10 EMA crossed above 20 EMA in bull zone. Aligned, higher conviction.
- `M↓` (red) — 10 EMA crossed below 20 EMA in bear zone. Aligned, higher conviction.
- `M↑ 🐻` (orange) — Bullish momentum flip firing in bear zone. Counter-trend, lower conviction.
- `M↓ 🐂` (orange) — Bearish momentum flip firing in bull zone. Counter-trend, lower conviction.
**Multi-Timeframe Support**
All three EMAs can be calculated on a higher timeframe and plotted on the current chart. Use this to anchor your bias to the HTF structure while reading entries on a lower timeframe.
---
## Possible Ways to Use It
**Trend Following**
Wait for full alignment — green background, green bars, all three slopes RISING. Only look for long entries. Use the 10 EMA pullback (aqua bars) as a potential entry trigger. Reverse logic for shorts.
**Momentum Flip Entries**
Use aligned `M↑` / `M↓` signals (green/red) as entry triggers when bias and slope confirm. Discard or fade counter-trend orange signals unless you have a specific reason to trade against the regime.
**Regime Filter for Other Systems**
Use the bias layer (price vs 50 EMA) as a filter for another strategy. Only take long signals from your primary system when EMA Pro+ shows bull bias, and vice versa.
**HTF Confluence**
Set the EMA Timeframe to a higher timeframe (e.g. 4H or Daily) while trading on a 15m or 1H chart. The dashboard will show the HTF regime, giving you a structural anchor for your intraday reads.
**Avoiding Chop**
When all three slopes read FLAT and bars are yellow (mixed alignment), the market is in a transitional or ranging state. Consider standing aside or reducing position size until a clear regime re-establishes.
**Mean Reversion Awareness**
When Dist 50 shows a large positive or negative reading, price is extended from the slow EMA. In trending markets this can persist — but it raises the bar for adding to positions and flags potential snapback risk.
---
## Settings
| Setting | Description |
|---|---|
| EMA Timeframe | Blank = current chart timeframe. Enter any TF (e.g. 60, 240, D) for MTF mode. |
| Fast / Mid / Slow EMA Length | Default 10 / 20 / 50. Fully adjustable. |
| Slope Lookback | Number of bars used to calculate EMA slope. Increase on lower timeframes to reduce flat readings. |
| Show EMA Lines | Toggle the three EMA plots. |
| Show Bias Background | Toggle the green/red background tint. |
| Color Bars by State | Toggle bar coloring. |
| Show Cross Signals | Toggle M↑ / M↓ labels on chart. |
| Show Dashboard Table | Toggle the corner HUD. |
| Table Position | Top Right / Top Left / Bottom Right / Bottom Left. |
| Bar Close Reminder Alert | Fires a reminder alert on every bar close to check the setup. |
---
## Alerts
- Momentum Flip Bullish — Bull Zone (aligned)
- Momentum Flip Bullish — Bear Zone (counter-trend)
- Momentum Flip Bearish — Bear Zone (aligned)
- Momentum Flip Bearish — Bull Zone (counter-trend)
- Price Reclaimed 50 EMA (bias flipped bullish)
- Price Lost 50 EMA (bias flipped bearish)
- Bull Pullback Signal (bull regime, price below 10 EMA)
- Bear Pullback Signal (bear regime, price above 10 EMA)
- Bar Close Reminder
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. All trading involves substantial risk of loss. Past performance of any signal, strategy, or system is not indicative of future results.
EMA Pro+ Suite is a tool to assist with technical analysis — it does not predict price, guarantee accuracy, or remove the inherent uncertainty of financial markets. No indicator eliminates risk. You are solely responsible for your own trading decisions.
Always conduct your own research, apply proper risk management, and consider consulting a licensed financial professional before making any trading decisions. Only trade with capital you can afford to lose. Indicator
Liquidity Structure Framework [PakunFX]Liquidity Sequence Framework
Liquidity Sequence Framework (LSF) is a market structure analysis indicator designed to visualize the progression of liquidity events, structure shifts, and Fair Value Gaps (FVGs) within a single analytical framework.
Instead of focusing on individual signals, the indicator organizes multiple market events into a sequential process, helping traders observe how price structure develops over time. The script combines swing structure, liquidity sweeps, trend filtering, and Fair Value Gap detection into a unified charting tool.
Features
External and Internal Swing Structure detection
Liquidity Sweep identification (SSL / BSL)
Bullish and Bearish Structure Shift detection
Automatic Fair Value Gap (FVG) detection
EMA-based trend filter
Premium / Discount (Equilibrium) filter
Configurable setup conditions
Visual sequence tracking with alerts
How it Works
The indicator monitors market structure using external and internal swing highs and lows. When liquidity is swept beyond a previous swing level, a new sequence begins. The script then tracks whether price confirms a structure shift and subsequently forms a Fair Value Gap within a configurable sequence window.
Trend filtering can be applied using Fast and Slow EMA conditions, while optional Premium / Discount and Fair Value Gap requirements allow users to customize how potential setups are displayed.
Display Elements
External Swing High / Low
Internal Swing High / Low
Liquidity Sweep markers (SSL / BSL)
Structure Shift markers
Active Fair Value Gap zones
Fast and Slow EMA
Equilibrium level
Setup markers
Alerts
Alerts are available for:
Liquidity Sweep
Bullish Structure Shift
Bearish Structure Shift
Bullish Sequence Setup
Bearish Sequence Setup
These alerts are intended to notify users when predefined analytical conditions are detected.
Notes
Liquidity Sequence Framework is designed as a market analysis tool. It visualizes structural relationships between liquidity events and price development but does not generate trading recommendations or predict future market direction.
Disclaimer
This script is provided for educational and research purposes only.
All calculations are based on historical price data. The displayed structures, Fair Value Gaps, and sequence conditions are intended to support chart analysis and should not be interpreted as guarantees of future market behavior or trading performance.
Indicator
Indicator
Professional SMC & OB StrategyThis comprehensive description provides an overview of the **Professional SMC & OB (Smart Money Concepts & Order Block) Strategy** indicator. This tool is designed to move beyond lagging indicators and focus on institutional market structure and price-action liquidity.
## **Indicator Overview: Institutional Order Flow & Trend Analysis**
The Professional SMC & OB Strategy is a hybrid algorithmic tool that integrates classical trend analysis with modern institutional trading principles. By analyzing the market through the lens of Smart Money, it identifies high-probability zones where large financial institutions likely place their orders.
### **Technical Components**
* **Dual-EMA Trend Filter (50 EMA & 200 EMA):** * The **200 EMA** acts as the "macro" bias filter. Prices trading above the 200 EMA are considered in a bullish regime, while prices below suggest a bearish regime.
* The **50 EMA** acts as the "momentum" filter. The relationship between the 50 and 200 EMA helps determine the strength and health of the current trend.
* **4H Timeframe Fair Value Gaps (FVG):**
* Fair Value Gaps represent imbalances in the market where buying or selling pressure was so aggressive that the order book could not fill all counterparties.
* The indicator uses request.security to lock onto 4-hour data, regardless of your current chart interval, ensuring you are trading based on professional-grade institutional levels.
* **Dynamic Order Block (OB) Detection:**
* Utilizes ATR (Average True Range) calculations to detect surges in momentum. These surges often signify the origin of a price movement, indicating where major institutions initiated their positions.
### **Strategic Workflow: How to Trade the Strategy**
To achieve consistent results, follow this institutional flow:
1. **Determine Market Bias:** Look at the relationship between the price and the 200 EMA.
* *Bullish Bias:* Price > 200 EMA.
* *Bearish Bias:* Price < 200 EMA.
2. **Wait for the "Institutional Trap":** Allow the market to trade into a 4H FVG zone. These zones often act as magnets for price.
3. **Confirm Entry:** Look for the "Order Block" signal (the blue diamond) generated by the indicator. This represents a high-probability reaction area.
4. **Risk Management:**
* **Stop Loss (SL):** Place your SL just beyond the structural high/low of the detected Order Block or the outer edge of the FVG box.
* **Take Profit (TP):** Target the next opposing Liquidity Sweep or at least a 2:1 Risk-to-Reward ratio based on the entry zone.
### **Summary of Benefits**
| Feature | Institutional Advantage |
| :--- | :--- |
| **Institutional focus** | Shifts focus from retail indicators to supply/demand zones. |
| **Higher timeframe data** | Filters out "noise" from lower timeframes using 4H logic. |
| **Reduced Clutter** | Provides clean, non-intrusive signals for a professional workspace. |
| **Trend-aligned** | Prevents "counter-trend" trading errors via EMA filtration. |
### **Usage Guidelines**
This tool is intended to assist in the analysis of price action. For maximum effectiveness, it should be used in conjunction with your personal risk management plan. Always verify the SMC signals by checking the overall market structure—if the price is in a massive, sustained move, wait for a pull-back into an FVG before taking a trade.
**Would you like me to add an "Alert" function to the code so that your phone notifies you the moment a 4H FVG or Order Block is detected? Indicator
Fractal Dimension Index [JOAT]FRACTAL DIMENSION INDEX
A proper Higuchi-method Fractal Dimension Index that tells you whether the market is currently trending (D approaches 1.0 — a smooth, linear path), chopping (D approaches 2.0 — a noisy, plane-filling random walk), or somewhere in between. Unlike volatility, FDI does not care about how much price moved — it cares about how convoluted the path was getting there . That makes it the single cleanest regime-classification number in technical analysis.
What FDI measures
The fractal dimension of a curve is a number between 1.0 (a perfect line) and 2.0 (a curve dense enough to fill a plane). For price series:
D ≈ 1.0–1.4 — the price path is close to a straight line. The market is trending; momentum tools work, reversion tools don't.
D ≈ 1.4–1.6 — the path is in a transitional regime. Use neutral tools.
D ≈ 1.6–2.0 — the path is chaotic and self-intersecting. The market is chopping; reversion tools work, momentum tools whipsaw.
The Higuchi-paper canonical thresholds are 1.4 (trend) and 1.6 (chop); both are configurable.
Higuchi algorithm — done properly
The implementation is the standard Higuchi method:
For each k from 1 to k_max (configurable, default 8), compute the average curve length L(k) across k starting offsets, normalised by the window length N.
Build the k_max pairs (log k, −log L(k)) .
Fit a least-squares line through those pairs; the slope is the fractal dimension D .
Apply optional EMA smoothing (configurable, default 5 bars) to suppress per-bar jitter.
A minimum-valid-pairs guard (default 3) prevents D from being computed when too few (k, L) pairs are finite, and a warmup-bars gate (default 50) prevents wild D values on sparse early data.
Regime classification with hysteresis
Raw D is mapped to one of three regimes — Trending / Random / Chop — using the two-threshold scheme. Two extra alert thresholds ( Extreme Trend D < 1.30 and Extreme Chop D > 1.70) flag the high-conviction tail cases.
Visual system
Background tint by regime — pastel mint for trend, coral for chop, cream for random. Transparency configurable (default 88, institutional-subtle).
Regime-change markers — tiny up/down/circle glyphs above price at every confirmed flip.
Optional candle tinting by regime (off by default to preserve user's chart style).
Optional D-line companion — when enabled, the smoothed D is plotted as a series. Because the script is overlay, pin the line to its own scale (right-click → Pin to scale → No Scale). For a true sub-pane, add the indicator a second time and drag that instance into a new pane.
Right-side floating label — anchored N bars right of the live close showing current D and a regime glyph. Configurable size, offset, regime text.
Optional reference horizontal lines at D = 1.4 / 1.5 / 1.6 when the D-line is shown.
A locked Pastel palette (mint trend / coral chop / cream random on a warm-white ground) gives the indicator a distinctive soft-institutional look.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Current D value and smoothed D value.
Regime classification with glyph.
Bars in current regime.
Distance to nearest threshold.
Extreme-state badge when in tail regions.
Alerts
Four alert conditions, each independently controllable:
Regime Flip (any classification change)
Extreme Trend (D crosses below 1.30)
Extreme Chop (D crosses above 1.70)
D Series Crosses 1.5 (the random-walk centre)
How to read it
Two reads, in order of conviction:
Regime classification + bars in regime — the more bars the current regime has persisted, the more reliable the read. Brand-new flips can flicker; multi-bar confirmed regimes do not.
Extreme regime alerts — when D crosses below 1.30, the market is in an extremely directional regime — momentum trades are the highest-conviction setups. When D crosses above 1.70, the market is in pathological chop — fade extremes, do not chase breakouts.
The single most useful workflow is to use FDI as a meta-filter — pair every signal-generating indicator with FDI regime. Trend signals from a momentum tool become high-conviction when D < 1.4; reversion signals from a Z-score oscillator become high-conviction when D > 1.6. The Suggested JOAT Indicator dashboard rows in Hurst Regime Sentinel and Entropy Oscillator follow exactly this principle.
Suggested settings
Defaults (window 30, k_max 8, EMA smoothing 5, warmup 50) are tuned for 15m–1H. For lower timeframes drop window to 20 and EMA to 3. For HTF (4H+) raise window to 50 and EMA to 8. The Higuchi-paper thresholds (1.4 / 1.6) are intentionally classical — tighten only if you find the regime classification too sensitive on your instrument.
Originality / what's reused
The Higuchi fractal-dimension algorithm is the textbook 1988 method — a public-domain piece of applied mathematics, implemented from the paper. The implementation here — the bounded-loop Higuchi pipeline with minimum-pairs guard and warmup gate, the two-threshold regime classifier with extreme-tail alerts, the pastel-palette regime tint, the pin-to-scale D-line companion logic, the right-side floating label, and the dashboard — is JOAT-original. No third-party code reused.
Open source
Published open-source under the default Mozilla Public License 2.0. The Higuchi loop, the regime classifier, the alert logic, and the dashboard are isolated modules — adapt any single piece without reading the whole file. Forks welcome with credit.
Limitations
Higuchi D is statistical — it tells you about recent path complexity , not future direction. A trending regime (D < 1.4) does not say which way; it says momentum tools should work. Combine with a directional indicator. The algorithm uses bounded Pine loops; very large window values increase compile cost. D is smoothed (EMA-filtered) by default, which trades some lag for substantially reduced flicker; turn smoothing off to see raw D.
—
-made with passion by jackofalltrades
Indicator
Brownian Motion Residual [JOAT]BROWNIAN MOTION RESIDUAL
A regime classifier rooted in the sqrt(T) scaling law of geometric Brownian motion. Under a true random walk, the standard deviation of T-bar returns scales as σ₁ · √T — that is the central fact of Brownian motion in continuous time. Markets violate this scaling in revealing ways: when they trend, dispersion at long horizons grows faster than √T; when they mean-revert, it grows slower. Brownian Motion Residual measures that violation across three horizons simultaneously, aggregates it, and surfaces a single Z-like residual that classifies the market into Strong MR / MR / Random / Trend / Strong Trend.
The sqrt(T) scaling law, restated
For a Brownian process with per-bar volatility σ₁:
σ(T-bar return) = σ₁ · √T
For a real market the observed σ at horizon T can be measured directly. The residual is the deviation of the observed value from the Brownian-implied value:
residual(T) = σ_observed(T) − σ₁ · √T
When the residual is positive , dispersion at T is greater than Brownian predicts — the market is trending (price travels further than a random walk in T bars). When it is negative , dispersion is less than Brownian predicts — the market is mean-reverting (price ends up closer to home than a random walk would).
Optional normalisation by σ₁ · √T turns the residual into a unit-less percentage of expected dispersion, so the same threshold values are meaningful across instruments and timeframes.
Three horizons, weighted blend
A single horizon is noisy. Brownian Motion Residual reads three horizons simultaneously (default 5 / 20 / 100 bars), each independently toggleable and weighted (default 1.0 each). The horizons are aggregated into a single residual line — the script's headline metric. Toggling off the short horizon makes the read smoother and slower; toggling off the long horizon makes it more reactive. Configurable.
A configurable EMA on top of the aggregated residual suppresses single-bar noise without lagging the regime view.
Two-tier classification
The aggregated residual is mapped to one of five regimes by two symmetric thresholds (default ±1 mild, ±2 strong):
Strong Trend — residual > +2. Aggressive momentum regime.
Trend — residual between +1 and +2. Trending.
Random — residual between −1 and +1. Brownian-like.
MR — residual between −2 and −1. Mean-reverting.
Strong MR — residual < −2. Aggressive reversion regime.
Visual system
Slope-coloured residual line with configurable width and optional area fill under it (transparency configurable).
Zero line and ±1 / ±2 threshold lines (toggleable).
Background tint by regime (subtle 88 transparency default) — teal trend, lavender MR, mint random.
Per-horizon plots (toggleable, off by default) — each horizon's residual as a faint dotted overlay; useful for seeing which horizon is driving the read.
Regime-change dots above the line at every confirmed flip.
A locked Aurora palette (teal trend / lavender MR / mint random on a deep-night ground) gives the pane a distinctive structural identity.
Dashboard
Monospaced table, positionable to any of nine corners, with vertical row-fade. Surfaces:
Aggregated residual (raw and smoothed).
Regime classification with glyph.
σ₁ value (the Brownian anchor).
Per-horizon residuals (h1 / h2 / h3) when enabled.
Bars in current regime.
Distance to nearest threshold.
Optional fancy Unicode header for the institutional aesthetic.
Alerts
Three alert conditions, each independently controllable:
Regime Change (any classification flip)
Strong threshold cross (±2)
Mild threshold cross (±1) — off by default
How to read it
Three reads, in order of conviction:
Strong Trend / Strong MR entry — the highest-conviction read. The market has decisively departed from Brownian scaling in one direction. Pair with a momentum tool in Trend regimes, a reversion tool in MR regimes.
Residual crossing zero — the regime fault line. Even before crossing a threshold, a sustained sign flip means the underlying distribution has rotated; the next threshold cross will confirm the new regime.
Per-horizon disagreement (when enabled) — when the short horizon is in trend regime but the long horizon is in MR regime, the market is in a nested state: short-term momentum inside a longer reversion. This is the textbook setup for fade-the-extreme intraday plays inside a wider range.
Suggested settings
Defaults (σ₁ window 100, observed σ window 60, horizons 5/20/100, equal weights, log returns ON, normalisation ON) are tuned for 15m–4H on liquid markets. For lower timeframes drop horizon 3 to 50. For HTF (daily+) raise horizon 3 to 200 and σ₁ window to 200. Log returns are theoretically correct and the recommended default — the script's regime classification depends on the scaling law, which assumes log returns; switch off only for research.
Originality
The √T Brownian scaling law is textbook continuous-time finance — the central piece of Bachelier's 1900 thesis and the foundation of every diffusion model in pricing. The implementation here — the per-horizon σ measurement pipeline, the σ₁-anchored Brownian baseline with optional normalisation, the three-horizon weighted aggregation, the EMA-smoothed residual classifier with two-tier thresholds, the per-horizon overlay layer, the regime-tinted background, and the dashboard — is JOAT-original. No third-party code reused. The use of residual against Brownian as a regime classifier is the original quantitative contribution.
Limitations
The √T law is exact only for Brownian motion — real markets have fat tails, autocorrelation, and discrete bars, so the measured "residual" is always non-zero even in a regime that looks random. The thresholds (±1 / ±2) are calibrated to be the regime boundaries empirically; tighten or loosen if your instrument has unusual variance behaviour. Per-horizon σ values need their respective windows populated to be meaningful — early bars give a warm-up read.
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-made with passion by jackofalltrades
Indicator
5 Advanced MAs MTF🔵 OVERVIEW
5 Advanced MAs MTF is a professional moving averages indicator designed for traders who need to see multiple trend layers on a single chart simultaneously, each one with its own independent configuration and — above all — its own timeframe.
Unlike typical "ribbon" or "multi-MA" indicators on the market, which display several averages all computed on the active chart's timeframe, this indicator allows each of the 5 averages to have its own timeframe. You can have your EMA 8 on the 15-minute chart, your EMA 20 on the 1-hour, your EMA 50 on the 4-hour, and your SMA 200 on the daily, all plotted on the same 15-minute chart. That turns the indicator into a complete multi-timeframe control panel without needing to open four separate charts or saturate your installed indicators list.
🔶 KEY FEATURES
• 5 fully independent moving averages — each one configured separately and enabled or disabled individually.
• True multi-timeframe per MA — the core differentiator. Each MA can read its value from a higher, lower, or equal timeframe relative to the active chart. Leave it empty to use the chart's current timeframe.
• 9 moving average types — SMA, EMA, WMA, RMA, HMA, VWMA, TEMA, KAMA, and JMA. The last three (TEMA, KAMA, JMA) are implemented with their original formulas, no shortcuts. JMA uses Mark Jurik's standard defaults (Phase = 50, Power = 2).
• Configurable source per MA — Close, Open, High, Low, hl2, hlc3, ohlc4.
• Full visual styling per MA — color, width (1 to 10), and line style (solid, dashed, or dotted).
• Smart labels — each MA can show its label directly on the line, with configurable content (type, length, timeframe, or any combination of the three). Adjustable horizontal bar offset and text size.
• Interactive summary table — placed at any of the 9 chart anchors, displaying color column, type, length, timeframe, and price distance from each MA (in percentage and absolute value). Toggle to include or exclude hidden MAs.
• 22-alert system — 10 for Price↔MA crosses (bullish and bearish for each MA), 10 for MA↔MA crosses across 5 configurable slots (you pick which MA pairs to monitor), and 2 wildcard "any cross detected" alerts. All compatible with webhooks and automation.
• Works on any market and any timeframe — equities, futures, crypto, forex, commodities. From tick charts to monthly charts.
🔹 USE CASES BY TRADER STYLE
▪️ Day trader / scalper
Configure the first 3 MAs as short EMAs (8, 20, 50) on the chart's timeframe (5m or 15m) and leave MAs 4 and 5 as SMA 200 and VWMA 100 but reading them from a higher timeframe (1H, 4H, or daily). Result: you see your fast entry signals and the higher-timeframe bias at the same time without switching charts.
▪️ Swing trader
Recommended setup: EMA 20 and EMA 50 on the active chart (1H or 4H) + SMA 200 read from daily + VWMA 100 read from weekly. This lets you watch pullbacks against the EMA 20 on your operative timeframe with immediate confirmation that the higher-timeframe bias is aligned, plus the weekly VWMA as a volume-weighted "fair price" reference.
▪️ Position trader / long-term
Enable all 5 MAs on daily or weekly to build a complete structural map of the asset. The default configuration (EMA 8, EMA 20, EMA 50, SMA 200, and VWMA 100, all on daily) covers everything from fast momentum to the institutional level, combining pure-price references (SMA 200) with volume-weighted references (VWMA 100). The summary table shows the exact distance of price from each one.
▪️ Systematic crossover trader
The MA↔MA alert slots let you configure up to 5 specific crossovers simultaneously. Classic Golden Cross / Death Cross setup: Slot 1 with MA 3 (EMA 50) crossing MA 4 (SMA 200) on daily, with an automatic alert sent to your bot's webhook or notification system.
▪️ Multi-timeframe confluence trader
The most differentiating use case. Assign each MA to a different timeframe: MA 1 on 5m, MA 2 on 15m, MA 3 on 1H, MA 4 on 4H, MA 5 on daily or weekly. The summary table shows you in real time the distance of current price from the key level of each of those timeframes. When several MAs from different timeframes converge on the same price zone, that zone becomes a high-density structural level — one of the most-used concepts among institutional traders.
⚙️ INPUTS & CUSTOMIZATION
The entire indicator is 100% configurable from the Inputs panel. Each MA has its own expandable group with 14 controls. The summary table is also fully customizable (position, text size, background/border/text colors). The JMA global parameters (Phase and Power) live in their own section so advanced users can adjust them without cluttering the individual groups.
By default, all 5 MAs are enabled with a configuration tailored for daily and swing use: EMA 8 (blue, 1D), EMA 20 (red, 1D), EMA 50 (yellow, 1D), SMA 200 (green dashed, 1D), and VWMA 100 (pink dotted, 1D). The user can modify any of the parameters or reassign the MAs to other timeframes at any moment.
🔔 ALERTS
The indicator ships with 22 precompiled alerts ready to use:
• 5 alerts "Price crosses above MA N"
• 5 alerts "Price crosses below MA N"
• 10 alerts across 5 configurable slots for MA↔MA crossovers (bullish and bearish per slot)
• 2 wildcard alerts "any cross detected"
All messages include the {{ticker}} and {{close}} placeholders so they are directly parseable by webhooks, bots, and automation systems.
❓ FAQ
Does the indicator repaint?
No. The moving averages are computed on confirmed historical data. Cross alerts fire on the bar of the cross and values are not modified retroactively. To avoid signals that appear and disappear intra-bar, set the alerts to "Once per bar close".
Does it work on any timeframe?
Yes. From tick charts to monthly. In addition, each MA can have its own higher, lower, or equal timeframe relative to the active chart. The default timeframe is the current chart's timeframe.
Why 9 MA types?
Because each type behaves differently. SMA is the pure average; EMA weights recent bars more; HMA virtually eliminates lag; KAMA adapts to volatility; JMA is the smoothest while staying responsive; VWMA weights by volume. Having all of them available lets you use the right tool for each analysis without installing several separate indicators.
What are the 5 MA↔MA alert slots for?
They let you configure specific crossovers between any pair of MAs without having to create all possible combinations. In each slot you pick the fast MA and slow MA from dropdowns and receive alerts for the bullish and bearish crossovers of that pair. Example: Slot 1 = MA 3 crosses MA 4 (classic Golden Cross / Death Cross when MA 3 = EMA 50 and MA 4 = SMA 200).
What is the best MA combination?
There is no single "best" — it depends on the trading style and the asset. The Use Cases section above includes recommended configurations for the 5 most common profiles.
Is it compatible with webhooks and automation?
Yes. The 22 alerts use {{ticker}} and {{close}} placeholders in their messages, making them directly compatible with TradingView Webhooks, copy-trading platforms, Telegram/Discord bots, and any system that parses JSON.
Is it free to use?
Yes. Open-source indicator under the Mozilla Public License 2.0. You can review the full code, use it freely on TradingView, and create derivative copies while respecting the license terms.
⚠️ DISCLAIMER
This indicator is a technical analysis tool provided solely for educational and informational purposes. It does not constitute financial advice, an investment recommendation, or an invitation to trade any instrument. Moving averages are reactive (not predictive) indicators: they are based on historical data and, by their nature, can produce delayed signals in markets with sharp trend changes. In ranging or low-volatility market contexts, crossovers can be frequent and not particularly informative. Every trading decision is the sole responsibility of the trader. Past performance does not guarantee future results.
© 2026 Lic. Farias Foresi, Leandro M. — License: Mozilla Public License 2.0
Indicator
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