Jack Signals - GC Bridge [JOAT]XAU SPOT GOLD FUTURES BRIDGE
Most gold analysis, levels and signals are quoted in XAUUSD spot . A large number of traders execute in GC or MGC futures . Those two markets do not print the same number, and the difference between them is not a constant you can memorise.
That difference is the basis : cost of carry plus time to expiry. It drifts through the session, widens as a contract ages, and jumps at the roll. A December contract can sit $60 above spot while the front month sits $10 above. Any fixed offset is wrong the moment you change contract, and quietly wrong every day in between.
This indicator puts spot onto the futures chart and translates in both directions, live.
[bWHAT IT DRAWS
Live spot line across the entire chart, with a price tag pinned to the last bar
Ghost spot candles — real XAUUSD OHLC, so you see how spot is moving, not only where it is
Price tag on the futures candles carrying their spot equivalent
Fair-value line — spot plus the mean basis, i.e. where futures would trade if the spread were behaving
Session high and low , labelled in both units
Liquidity levels from swing pivots, marked SWEPT once taken
───────────── READING FUTURES BACK IN SPOT ─────────────
The reverse conversion is the one used most. You are looking at a wick on the futures chart and your level is written in spot. Every level is labelled with both prices, so "did that sweep reach 4453 spot?" becomes readable instead of a calculation.
───────────── THE BASIS IS Z-SCORED ─────────────
This is the part that is not just arithmetic.
The spread is measured against its own recent behaviour:
z = (basis − mean(basis)) / stdev(basis)
A fixed tolerance such as "warn if the basis moves more than $1.50" is the wrong test, because how far the basis normally moves is itself not constant. Normalising it against its own standard deviation is.
When the spread is stretched beyond your threshold, the dashboard flags it and level conversion falls back to the mean basis instead of the live one. This is not decoration: convert a stop at a three-sigma basis and you have baked a temporary distortion into it, so when the spread reverts your stop sits in the wrong place. The fair-value line makes the same thing visible — when candles pull away from it, the spread is moving, not gold.
───────────── OPTIONAL: CONVERT A FULL SETUP ─────────────
Enter two entries, a stop and three targets in spot, and it draws them on the futures chart at the converted prices, each labelled with both numbers. Leave them at zero and those rows disappear entirely — the live mirror works on its own with nothing filled in.
With a setup loaded it also sizes the position. Enter account size and risk percent and it returns a contract count from the real tick value, warns when a single stop-out would consume more than half a daily loss limit, and states plainly when the answer is that the trade does not fit the account.
A useful identity: gold levels are commonly quoted in 0.10 increments, which is exactly one COMEX gold tick. An 80-pip stop is 80 ticks — $800 per GC contract, $80 per MGC . No conversion, no rounding.
There is also an optional ATR trailing stop for a runner leg, armed when price reaches a chosen target.
───────────── NOTES AND LIMITATIONS ─────────────
The basis is read off the chart symbol , so it is correct on GC1!, any dated contract, and MGC with nothing to configure
Ghost candles inherit the futures session. During hours when spot trades and futures do not, there is no bar to draw them on
Pivots confirm N bars after forming. That is the definition of a swing, not a lag in the script
The displayed basis is smoothed to stop two independently-ticking feeds flickering. The reverse conversion deliberately uses the raw basis so the futures readout and the spot readout can never disagree
Default settings draw only the spot line, ghost candles and the two price tags. Levels and liquidity are switched off so the chart stays clean — turn them on individually
This indicator generates no buy or sell signals and has no view on direction. It converts prices between two related instruments, sizes a position, and can trail a runner.
Nothing here is financial advice, and no performance is claimed or implied. Test on a simulated account before risking money.
อินดิเคเตอร์
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.
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Master Line Plus. Multi-MA ConsensusMaster Line Plus — Multi-MA Consensus with Agreement Score
Master Line Plus blends eight different moving-average families into a single consensus trend line, measures how strongly those averages agree, and filters direction with a volatility-aware band. It's a clean, open-source way to read one trend reference — plus a sense of how much conviction is behind it — instead of stacking many moving averages on the chart.
How it works
Every moving-average type reacts to price differently. EMA and WMA weight recent bars heavily and turn quickly; SMA weights all bars equally and turns slowly; RMA (Wilder's) is the smoothest; HMA cuts lag while staying responsive; DEMA and TEMA use multiple EMA passes to reduce lag further; and ALMA applies a Gaussian weighting to balance smoothness and responsiveness. Each one alone is a compromise — fast types whipsaw in chop, slow types lag at turns.
Plus computes all eight over the same length and averages them into one line:
consensus = ( EMA + SMA + WMA + HMA + RMA + DEMA + TEMA + ALMA ) / 8
The purpose of the combination is not to stack indicators, but to average out the bias of each MA type: the lag-reducing members keep the line responsive while the smoother members damp noise, producing a trend estimate steadier than any single fast MA yet more responsive than any single slow one. Using eight diverse families (rather than eight EMAs) is what makes the blend meaningful — they disagree in different conditions, and that disagreement is itself information.
Agreement score. Because the eight averages are diverse, Plus also counts how many of them price is trading above. When most agree (e.g. 8/8) the trend is broad and well-supported; when they split (e.g. 5/8) the move is weaker or transitioning. The dashboard shows this as a percentage aligned with the current trend — a simple conviction gauge a single line can't give.
Direction. Trend is decided with an ATR band rather than a raw cross: it turns bullish only when price closes above the consensus by more than Flip band × ATR, bearish only when it closes the same distance below, and holds the previous trend in between. This deadband suppresses the constant flip-flopping of a plain price/MA cross in sideways markets. Triangles mark the exact flip bar, and the line and optional band are colored by trend.
Signal line & higher-timeframe filter. A signal line (an EMA of the consensus) can be shown for slope/cross context. Optionally, a higher-timeframe consensus must agree before a flip is allowed — so on a 1H chart you can require the daily consensus to also be bullish before a long flip prints.
How to use it
Use the consensus line as your trend reference and bias filter — favor longs while it's teal, shorts while it's red.
Read the Agreement % as conviction: high agreement supports staying with the trend; a falling score warns the move is losing breadth.
Enable higher-timeframe agreement to trade only with the larger trend and cut counter-trend signals.
Widen the Flip band on noisy instruments to reduce false flips; narrow it on clean trends for earlier turns. Increase Length for a slower bias; decrease it for a faster read.
Two built-in alerts fire on bullish and bearish flips.
Settings
Consensus — Source, Length (used by all eight MAs), ALMA offset/sigma.
Trend & signal — Flip band (× ATR) and the signal-line length.
Higher timeframe — require HTF agreement for flips, and the HTF to use.
Display — show/fill band, signal line, flip markers, bar coloring, dashboard.
Notes and limitations
This is a trend-following tool. Like all moving-average methods it lags at turning points and can flip late after sharp reversals; the ATR band trades some timing for fewer false signals.
The higher-timeframe consensus uses request.security with lookahead disabled, so it can update on the still-forming HTF bar until that bar closes. On-chart values are likewise evaluated on the current bar and can update in real time until the bar closes.
It does not predict price and makes no performance claims — use it as one input alongside your own analysis and risk management.
For research and education only. This is not financial advice. อินดิเคเตอร์
EMA Trend ProEMA Trend Pro
OVERVIEW
EMA Trend Pro is a dual moving-average trend tool with built-in confluence filters. It colors the trend, marks momentum shifts when the fast average crosses the slow one, and — unlike a plain moving-average cross — filters those signals through a higher-timeframe trend check and an ATR-based range check to cut down on false signals. A compact info panel keeps the current state visible at a glance.
HOW IT WORKS
The script builds two moving averages from a source of your choice, and you can select the averaging method (EMA, SMA, WMA, RMA, or VWMA):
• Fast MA (default 21) — reacts quickly to recent price.
• Slow MA (default 55) — represents the broader trend.
Their relationship defines the regime:
• Fast above slow → momentum aligned to the upside → bullish (green).
• Fast below slow → momentum aligned to the downside → bearish (red).
A moving average smooths price into a single line; an exponential MA weights recent bars more heavily so it tracks price faster than a simple average. Using two lengths separates short-term momentum (fast) from the prevailing trend (slow), and the point where they cross is a classic signal for a potential shift of control between buyers and sellers.
THE FILTERS (what makes this more than a plain cross)
A raw moving-average cross has two well-known weaknesses: it fires against the larger trend, and it whipsaws when the market is flat. EMA Trend Pro addresses both:
• Higher-timeframe (HTF) filter — the same two averages are also computed on a higher timeframe you choose. Long signals are only allowed when the HTF trend is up, and short signals only when it is down. This keeps you trading with the larger trend instead of against it. The HTF values are read without lookahead, so historical signals do not repaint.
• ATR separation filter — the Average True Range (ATR) measures how much price typically moves per bar. This filter ignores any cross where the two averages are closer together than a chosen multiple of ATR, which removes the low-conviction crosses that happen when the averages are tangled in a tight range.
Both filters are optional and independent, so you can run the tool as a simple cross, a trend-aligned system, or a strict range-aware system.
WHAT IT DRAWS
• Fast MA line, colored by the active trend (green / red).
• Slow MA line as a neutral reference.
• A fill between the two averages, tinted by direction — a wider gap means stronger separation.
• Optional background tint and optional bar coloring for the current regime.
• Triangle markers on the exact bar where a filtered signal occurs (up / down).
INFO PANEL
A small top-right table shows, at a glance:
• Trend — current lower-timeframe direction.
• HTF — the higher-timeframe direction and the timeframe used.
• Signal — LONG, SHORT, or none on the current bar.
HOW TO USE IT
• Trend bias: read green as a long bias and red as a short bias.
• Signals: the up / down triangles mark filtered momentum shifts. With the HTF filter on, they only appear in the direction of the larger trend.
• Reduce noise: enable the ATR separation filter, or raise its multiplier, to keep only stronger crosses.
• Tuning: shorter lengths give faster, more frequent signals; longer lengths give fewer, smoother ones. Try different MA types and a higher timeframe that suits your trading style (for example, a 4H filter for signals taken on lower timeframes).
SETTINGS
• MA type — averaging method (EMA / SMA / WMA / RMA / VWMA).
• Source — price series the averages are built from (default close).
• Fast length / Slow length — the two averages (defaults 21 / 55).
• Higher-timeframe filter + Higher timeframe — enable and choose the HTF trend check.
• Min separation filter + Min separation (× ATR) — enable and set the range filter.
• Trend fill / Trend background / Color bars by trend / Signal markers / Info panel — display toggles.
ALERTS
Four ready-made alerts: filtered Long and Short signals, plus Trend flip up and Trend flip down — so you can be notified on any symbol or timeframe.
NOTES & LIMITATIONS
Moving-average crosses are lagging by nature: they confirm a move after it has begun rather than predicting it. The filters reduce false signals but cannot remove them, and a higher-timeframe filter naturally produces fewer, later entries in exchange for better alignment. This tool is a visual aid for trend direction and momentum shifts — it is not a complete trading system and does not manage risk or position size. Always confirm with your own analysis.
Open-source — feel free to study, use, and build on it.
For research and educational purposes only. This is not financial advice. อินดิเคเตอร์
Master Line Lite: 5-MA ConsensusMaster Line Lite condenses five different moving-average families into a single, easy-to-read consensus trend line, then filters its direction with a volatility-aware band so the trend only changes when price commits. It's a clean, open-source alternative to stacking several moving averages on one chart.
How it works
Each moving-average type reacts to price differently. An EMA and a WMA weight recent bars heavily and turn quickly; an SMA weights every bar equally and turns slowly; an RMA (Wilder's) is the smoothest; and an HMA cuts lag while staying responsive. Any single one is a compromise — fast types whipsaw in chop, slow types lag at turns.
Master Line Lite computes all five over the same length and averages them into one line:
consensus = ( EMA + SMA + WMA + HMA + RMA ) / 5
Blending the five balances their individual biases: the fast members keep the line responsive while the slow members damp noise. That's the purpose of the combination — not to stack indicators, but to average out the weakness of each MA type into one steadier reference than a single fast MA, yet more responsive than a single slow one.
Direction is then decided with an ATR band instead of a raw cross. The trend turns bullish only when price closes above the line by more than Flip band × ATR, and bearish only when it closes the same distance below; between those thresholds the previous trend is held. This deadband is what suppresses the constant flip-flopping of a plain price/MA cross during sideways markets.
The line is colored by the current trend, an optional band shows the flip thresholds, and triangles mark the exact bar where the trend flips.
How to use it
Use the line as a trend reference and bias filter — favor longs while it's teal, shorts while it's red.
The triangles flag where the consensus trend changes — a "context has shifted" cue, not a standalone entry.
Widen the Flip band on noisy/ranging instruments to cut false flips; narrow it on clean trends for earlier turns.
Increase Length for a slower higher-timeframe bias; decrease it for a faster intraday read.
Two built-in alerts fire on bullish and bearish flips.
Settings
Source — price series the averages are built from (default: close).
Length — lookback used for all five moving averages.
Flip band (× ATR) — how far price must clear the line to change the trend; the core noise filter.
Show band — draw the upper/lower flip thresholds.
Color bars by trend — tint candles with the trend color.
Show status box — small top-right label with the current Bull / Bear / Flat state.
Notes and limitations
Like all moving-average methods, this lags at turning points and can flip late after sharp reversals — the ATR band trades some timing for fewer false signals. Values can update on the still-forming real-time bar until it closes. It does not predict price and makes no performance claims; use it as one input alongside your own analysis and risk management.
For research and education only. This is not financial advice. อินดิเคเตอร์
EMA Trend SignalsEMA Trend Signals
OVERVIEW
EMA Trend Signals is a clean, lightweight trend-following tool built around two exponential moving averages (EMAs). It colors the trend, highlights the space between the two averages, and marks the exact bars where the fast average crosses the slow one — giving an at-a-glance read on direction and momentum shifts without cluttering the chart.
HOW IT WORKS
The script calculates two EMAs from a source of your choice:
• Fast EMA (default 21) — reacts quickly to recent price.
• Slow EMA (default 55) — represents the broader trend.
The relationship between them defines the regime:
• Fast EMA above the slow EMA → momentum is aligned to the upside → bullish (green).
• Fast EMA below the slow EMA → momentum is aligned to the downside → bearish (red).
An EMA is a weighted average that gives more importance to recent bars, so it follows price faster than a simple moving average while still smoothing out noise. Using two lengths separates short-term momentum (fast) from the prevailing trend (slow); the point where they cross is a classic, widely used signal for a potential shift in control between buyers and sellers.
WHAT IT DRAWS
• Fast EMA line, colored by the active trend (green / red).
• Slow EMA line as a neutral reference.
• A soft fill between the two EMAs, tinted by direction — a wider gap means stronger separation.
• An optional light background tint showing the current regime.
• Triangle markers on the exact bar where a cross occurs (up / down).
HOW TO USE IT
• Trend bias: read green as a long bias and red as a short bias. Many traders only take positions in the direction of the color.
• Signals: the up-triangle (fast crosses above slow) and down-triangle (fast crosses below slow) mark momentum shifts. They perform best in trending conditions and will whipsaw in tight ranges — pair them with your own structure, key levels, or a higher-timeframe filter.
• Tuning: shorten the lengths for faster, more frequent signals; lengthen them for fewer, smoother ones. Change the Source input to apply the logic to hl2, hlc3, and so on.
ALERTS
Two ready-made alerts are included — "EMA Cross Up" and "EMA Cross Down" — so you can be notified the moment a cross happens on any symbol or timeframe.
SETTINGS
• Source — price series the EMAs are built from (default close).
• Fast EMA length — short-term average (default 21).
• Slow EMA length — trend average (default 55).
• Trend background — toggle the regime tint.
• Cross markers — toggle the triangle shapes.
NOTES & LIMITATIONS
Moving-average crosses are lagging by nature: they confirm a move after it has already begun rather than predicting it, and they can produce false signals in sideways markets. This tool is a visual aid for trend direction and momentum shifts — it is not a complete trading system and does not manage risk or position size. Always confirm with your own analysis.
Open-source — feel free to study, use, and build on it.
For research and educational purposes only. This is not financial advice. อินดิเคเตอร์
Momentum Peak Breakout-Pro [Saheewin]🚀 Momentum Peak Breakout — Premium Multi-Timeframe Trading System
Momentum Peak Breakout is a premium-class technical analysis indicator built around a simple but powerful concept:
Momentum must break its previous structural peak or trough, and price must confirm the breakout.
The system then uses multi-timeframe EMA alignment, optional momentum-quality filters, price/momentum divergence and structured Risk/Reward levels to help traders identify and manage potential directional opportunities.
It is designed to provide a complete visual framework for entry confirmation, trade management and disciplined decision-making.
🟢 BUY SIGNAL
A BUY signal is generated when:
The green momentum histogram breaks above the previous green high momentum peak.
The price candle closes above the corresponding previous price peak.
EMA 1 > EMA 2 confirms bullish directional alignment.
Any enabled signal-quality filters are satisfied.
The trade-spacing and live-trade rules allow a new position.
BUY Concept
Momentum Peak Break + Price Breakout + Bullish EMA Alignment
🔴 SELL SIGNAL
A SELL signal is generated when:
The red momentum histogram breaks below the previous red low momentum trough.
The price candle closes below the corresponding previous price trough.
EMA 1 < EMA 2 confirms bearish directional alignment.
Any enabled signal-quality filters are satisfied.
The trade-spacing and live-trade rules allow a new position.
SELL Concept
Momentum Trough Break + Price Breakdown + Bearish EMA Alignment
📊 Multi-Timeframe EMA Confirmation
The indicator automatically selects three relevant timeframes based on the current chart timeframe.
The EMA lengths are user-settable, allowing traders to adapt the system to different markets and trading styles.
The primary directional relationship is:
Bullish → EMA 1 > EMA 2
Bearish → EMA 1 < EMA 2
This provides a broader trend context while keeping the actual entry trigger focused on momentum and price structure.
⚡ Optional Signal-Quality Filters
The indicator includes three optional filters designed specifically to improve the quality of momentum-break signals.
1️⃣ Momentum Expansion
Measures whether momentum is breaking the previous peak/trough with sufficient strength.
A small marginal break and a strong momentum expansion are treated differently.
2️⃣ Breakout Displacement
Measures how decisively price closes beyond the previous price structure, normalized against market volatility.
This can help avoid weak breakouts where price barely moves beyond the previous level.
3️⃣ Market Efficiency Ratio
Measures whether the market is moving efficiently in a directional manner or behaving in a more sideways/choppy fashion.
All three filters are optional and user-settable.
Traders can use them individually or combine them depending on the market and timeframe.
🔄 Optional Price–Momentum Divergence
The indicator also provides an optional Price vs Momentum Divergence module.
🟢 Bullish Divergence
Price forms a Lower Low, while momentum forms a Higher Low.
🔴 Bearish Divergence
Price forms a Higher High, while momentum forms a Lower High.
Divergence signals are independent analytical signals and can be used to identify potential changes in momentum or developing directional opportunities.
🎯 Integrated Trade Box
Each primary BUY/SELL trade can be accompanied by a visual Trade Box containing:
Entry → SL → TP1 → TP2 → TP3
The stop-loss is based on EMA 2.
The target structure is:
TP1 = 1:1.5 Risk/Reward
TP2 = 1:3 Risk/Reward
TP3 = 1:5 Risk/Reward
📐 Understanding the Risk/Reward Calculation
The system calculates the targets from the distance between Entry and SL.
BUY Example
Suppose:
Entry = 100
SL = 98
Risk =:
100 − 98 = 2 points
Therefore:
TP1 = 100 + (2 × 1.5) = 103
TP2 = 100 + (2 × 3) = 106
TP3 = 100 + (2 × 5) = 110
So the potential reward structure is:
SL = −1R
TP1 = +1.5R
TP2 = +3R
TP3 = +5R
SELL Example
Suppose:
Entry = 100
SL = 102
Risk =:
102 − 100 = 2 points
Therefore:
TP1 = 100 − (2 × 1.5) = 97
TP2 = 100 − (2 × 3) = 94
TP3 = 100 − (2 × 5) = 90
Again:
SL = −1R
TP1 = +1.5R
TP2 = +3R
TP3 = +5R
This structured approach allows traders to define the risk before entering the trade rather than deciding the stop and target after the position has already moved.
📈 Trade Statistics
An optional statistics panel helps traders evaluate the signals generated by the indicator.
It can track:
Total Trades
Winning Trades
SL Trades
TP1 Wins
TP2 Wins
TP3 Wins
Winning Rate
Open Trades
Last Trade Status
This allows traders to study the behavior of the indicator on different markets and timeframes rather than relying only on individual signals.
🧠 Designed for Disciplined Traders
Momentum Peak Breakout is intended as a premium-class trading and learning framework.
The purpose is not simply to generate as many signals as possible.
The objective is to help a disciplined trader learn to recognize:
Momentum expansion
Structural momentum breaks
Price confirmation
EMA directional alignment
Breakout quality
Market efficiency
Price/momentum divergence
Risk before entry
Reward potential before entry
Trade management discipline
A trader can use the indicator as a standalone technical-analysis framework to study potential entries and exits.
At the same time, experienced traders can combine the indicator with their own trading strategy, market structure analysis, price-action techniques, support/resistance, volume analysis or execution methodology to create a more selective and potentially higher-quality trading approach.
The key principle:
Do not trade every signal. Learn to identify the signals that fit your strategy, market condition and risk plan.
The indicator provides the framework.
The trader provides the discipline.
🌎 Any Market • Any Timeframe
The indicator is designed to be adaptable across:
Stocks
Indices
Futures
Forex
Commodities
Crypto
Other liquid markets
It can be used across different chart timeframes, from lower intraday timeframes to higher-timeframe analysis.
However, traders should always test the settings and behavior for the specific market and timeframe being traded.
⚠️ IMPORTANT DISCLAIMER
This indicator is provided strictly for educational and informational purposes only.
It is not financial advice, investment advice, trading advice or a recommendation to buy or sell any financial instrument.
No indicator or trading system can guarantee profitable trades, winning trades or future performance.
Signals can fail, particularly during volatile, low-liquidity, sideways or rapidly changing market conditions.
Past performance does not guarantee future results.
Users are responsible for conducting their own research, testing the indicator under appropriate market conditions and applying proper risk management and position sizing.
Never risk money you cannot afford to lose.
Trade with discipline, understand your risk before entering, and use this indicator as a tool for education, analysis and structured decision-making. อินดิเคเตอร์
3 EMA + HH/LL Structure Break [ Trend and Structure combined] v23EMA PRO V2 is a structured EMA + market-structure indicator designed for intraday trading on instruments such as XAUUSD and BTCUSD.
The system combines 20 EMA, 50 EMA and 100 EMA with 10/10 pivot-based market structure to identify trend-following and reversal opportunities.
🔹 Core EMA Logic
Trend Following BUY
100 EMA is below both 20 EMA and 50 EMA.
20 EMA crosses above 50 EMA.
The system looks for confirmation through market structure.
Trend Following SELL
100 EMA is above both 20 EMA and 50 EMA.
20 EMA crosses below 50 EMA.
The system looks for bearish structure confirmation.
Reversal BUY
Fast and middle EMA move/cross above the 100 EMA.
Used to identify potential bullish reversal conditions.
Reversal SELL
Fast and middle EMA move/cross below the 100 EMA.
Used to identify potential bearish reversal conditions.
🔹 Market Structure Confirmation
The indicator uses 10 Left / 10 Right pivots to identify:
HH — Higher High
HL — Higher Low
LH — Lower High
LL — Lower Low
The important concept is EMA signal + structure confirmation, rather than taking every EMA crossover immediately.
If the EMA signal appears before the structure break, the system waits for the corresponding HH/LL breakout candle to close.
If the structure break happens before the EMA signal, the system waits for the EMA confirmation and then looks for a neckline retest before entry.
🔹 Entry
The indicator provides:
🟢 BUY labels
🔴 SELL labels
Entry price
SL
TP1
TP2
TP3
Reversal / Trend classification
🔹 Risk Management
TP and SL are fully configurable in dollar values.
You can independently adjust:
TP1 ($)
TP2 ($)
TP3 ($)
SL ($)
Position size
🔹 Backtest Statistics
The indicator includes an internal last 500 signals performance table, displaying:
Total signals
Win rate
Wins / losses
Break-even trades
Net P/L
Profit Factor
Maximum drawdown
BUY / SELL count
Reversal / Trend count
TP1 / TP2 / TP3 hits
SL hits
Current EMA and pivot settings
⚠️ Important
This indicator is intended as a technical analysis and decision-support tool, not a guarantee of profitable trading. Backtest results can vary significantly depending on the symbol, timeframe, spread, commission, slippage and execution conditions.
Suggested starting configuration:
EMA: 20 / 50 / 100
Pivot: 10 / 10
Markets: XAUUSD / BTCUSD
Timeframes: 1M / 5M อินดิเคเตอร์
Multi-Timeframe MA ForecastMulti-Timeframe MA Forecast
This indicator combines two things that other MA tools don't: it plots a moving average from any timeframe onto your chart using proper multi-timeframe handling, and it projects that average forward under a simple assumption, that price holds at the current value while the calculation window rolls ahead. The result is a forward view of where the MA is headed if price goes nowhere, which is a different and useful question from where the MA has been.
Why forecast a moving average
An MA's slope isn't entirely driven by "recent price action" in the vague sense traders usually mean. At any given bar, the slope is set by one comparison: the price entering the average versus the price leaving it. A rising 50-day SMA can flatten or roll over not because anything new happened today, but because the price from 50 days ago, now dropping out of the window, was unusually high or low. That effect is knowable in advance since it depends on price action that already happened.
This matters because many systematic and algorithmic strategies key off MA slope and MA crossovers as regime filters. If you can see that a large gap is about to roll out of a 200-period window, you can anticipate a slope change before it shows up on the indicator itself, rather than reacting to it after the fact.
The forecast is not a price prediction. It answers a narrower, mechanical question: given the prices already in the pipeline, what does this average do next if price simply holds still.
Why MA slope matters for support and resistance
Slope changes the character of an MA:
- Price above a rising MA: the MA tends to act as support
- Price below a rising MA: the MA tends to act as a magnet , pulling price back up toward it
- Price below a falling MA: the MA tends to act as resistance
- Price above a falling MA: the MA tends to act as a magnet , pulling price back down toward it
A forecasted slope flip is an early signal that the MA's role relative to price may be about to change.
How the timeframe handling works
Set the Timeframe higher, lower, or equal to your chart's. The average is calculated on that timeframe using TradingView's multi-timeframe request functions, so the current bar always reflects the true live value of the higher-timeframe average, including the period still forming.
When the Timeframe is higher than the chart, history is drawn as a stairstep: once a higher-timeframe period closes, its final value is drawn back across the bars of that period. This is retroactive, the value shown mid-period was not knowable until that period actually closed, and it gives the clean, stepped look most MTF overlays use. When the Timeframe is the same as or lower than the chart, there's no period to wait for, so the line simply reflects the true value on every bar as it happens.
Either way, the forecast always starts from the current, fully up-to-date value of the average.
Forecast styling is separate from the MA's
The moving average uses its own Line Thickness and MA Line Style inputs, and the forecast has a matching, independently-set Forecast Line Style. These are exposed as inputs rather than through the native Style tab because the forecast is built from a drawing object rather than a plotted series, and drawing objects can't be styled from that tab. Giving the MA its own matching inputs, rather than mixing native Style-tab controls with input-based ones, keeps both fully and consistently customizable.
Supported MA types
SMA (simple), EMA (exponential), WMA (weighted), and HMA (Hull) are supported, each forecast using that type's own real recurrence rather than a shared approximation. EMA and SMA are the cheapest to compute; WMA and HMA require tracking the full calculation window at every forecast step.
Memory limitations on extreme timeframe ratios
Pulling multi-timeframe history through TradingView's request functions has a memory cost that scales with the ratio between the chart timeframe and MA timeframe, particularly when the MA timeframe is much lower than the chart's. In practice:
- EMA has no meaningful limit, since it doesn't require historical window data
- SMA can handle roughly double the timeframe ratio or MA length that WMA and HMA can, before hitting TradingView's memory ceiling
- Very extreme combinations, for example a 1-hour MA on a weekly chart with a long length, can hit a runtime memory error
If you see a memory error, try a coarser MA timeframe, a shorter MA length, switching to EMA or SMA, or lowering the Forecast % input, all of which reduce the amount of historical data the script needs to hold.
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Every request.security() call in this script that uses barmerge.lookahead_on does so only on a history-offset expression, per TradingView's documented pattern for retrieving higher-timeframe data without lookahead bias. No un-offset higher-timeframe value is ever requested with lookahead_on. อินดิเคเตอร์
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.
กลยุทธ์
GM Fusion OscillatorCombo Oscillator – MACD + Stochastic + RSI + EMA
The Combo Oscillator combines four widely used technical indicators into one simple momentum oscillator:
MACD + Stochastic + RSI + EMA
Instead of switching between several indicators, the Combo Oscillator combines their information into one normalized and smoothed line.
🟢 GREEN / BULLISH SIGNAL
Generated when the combined oscillator crosses above the zero line, indicating a potential shift toward bullish momentum.
🔴 RED / BEARISH SIGNAL
Generated when the combined oscillator crosses below the zero line, indicating a potential shift toward bearish momentum.
The oscillator also uses ATR normalization, allowing indicators with different scales to work together in one combined calculation.
DEFAULT SETTINGS:
EMA: 21 / 55
MACD: 12 / 26 / 9
RSI: 14
Stochastic: 14 / 3 / 3
ATR: 14
Smoothing: 3
The major parameters are adjustable, allowing traders to experiment with different settings for different markets and timeframes.
The Combo Oscillator is designed as a momentum and confirmation tool, not as a standalone trading system.
For best use, combine it with your own analysis, market structure, support and resistance, liquidity and risk management.
One oscillator.
Four indicators.
One clear view of momentum. อินดิเคเตอร์
Combo Oscillator - MACD + Stoch + RSI + EMACombo Oscillator – MACD + Stochastic + RSI + EMA
The Combo Oscillator combines four widely used technical indicators into one simple momentum oscillator:
MACD + Stochastic + RSI + EMA
Instead of switching between several indicators, the Combo Oscillator combines their information into one normalized and smoothed line.
🟢 GREEN / BULLISH SIGNAL
Generated when the combined oscillator crosses above the zero line, indicating a potential shift toward bullish momentum.
🔴 RED / BEARISH SIGNAL
Generated when the combined oscillator crosses below the zero line, indicating a potential shift toward bearish momentum.
The oscillator also uses ATR normalization, allowing indicators with different scales to work together in one combined calculation.
DEFAULT SETTINGS:
EMA: 21 / 55
MACD: 12 / 26 / 9
RSI: 14
Stochastic: 14 / 3 / 3
ATR: 14
Smoothing: 3
The major parameters are adjustable, allowing traders to experiment with different settings for different markets and timeframes.
The Combo Oscillator is designed as a momentum and confirmation tool, not as a standalone trading system.
For best use, combine it with your own analysis, market structure, support and resistance, liquidity and risk management.
One oscillator.
Four indicators.
One clear view of momentum. อินดิเคเตอร์
STOC - EMA + RSI Pullback TraderThe STOC – EMA RSI Pullback Trader is a long-only trend-following indicator designed to identify potential entries during bullish trends and controlled pullbacks.
Instead of chasing price after a large upward move, the indicator looks for opportunities when price returns toward the faster trend average while the broader trend remains positive.
How it works
The indicator combines:
* 20 EMA for identifying short-term momentum and pullback areas.
* 50 EMA for determining the broader trend.
* RSI for confirming that momentum remains bullish.
An initial Buy signal can appear when the 20 EMA crosses above the 50 EMA and RSI confirms positive momentum.
After the bullish trend is established, a Pullback Buy signal can appear when price revisits the 20 EMA and subsequently confirms strength above it while RSI remains above the selected bullish threshold.
Exit methods
The indicator provides three selectable exit methods:
* 20 EMA crossing below the 50 EMA.
* Price closing below the 50 EMA.
* Either condition, whichever occurs first.
The “Either Condition” setting offers more defensive trade management, while the EMA crossover exit generally gives the trend more room to develop.
Key features
* Initial EMA crossover entries.
* Trend-continuation pullback entries.
* RSI momentum confirmation.
* Adjustable EMA and RSI settings.
* Optional requirement for rising RSI.
* Multiple pullback-confirmation methods.
* Selectable exit logic.
* Buy, Pullback Buy and Exit labels.
* Active-trade background highlighting.
* Trend and trade-status dashboard.
* TradingView alert conditions.
* Dynamic JSON messages for webhook integration.
* Works across equities, indices, futures, forex and cryptocurrencies.
How to use
The indicator is best used on instruments displaying a clear directional trend.
A valid bullish environment generally exists when:
* The 20 EMA is above the 50 EMA.
* Price is trading above the 50 EMA.
* RSI is above 50.
The initial Buy signal identifies a possible new bullish trend. Pullback Buy signals identify potential re-entry opportunities after price returns toward the 20 EMA without invalidating the broader trend.
Avoid treating every signal as an automatic trade. Consider confirming the setup using:
* Higher-timeframe trend direction.
* Support and resistance.
* Breakout structure.
* Volume expansion.
* Relative strength.
* Overall market and sector conditions.
Suggested timeframes
* Daily and weekly charts: positional and swing trading.
* 1-hour and 4-hour charts: shorter-term swing trading.
* 5-minute and 15-minute charts: intraday trading with additional market and volume confirmation.
Alerts
Create a TradingView alert using “Any alert() function call” to receive the indicator’s dynamic Buy and Exit messages. Standard Buy and Exit alert conditions are also available.
Disclaimer
This indicator is provided solely for educational and informational purposes. It does not constitute investment advice, financial advice, trading advice or a recommendation to buy or sell any security or financial instrument.
Trading and investing involve substantial risk, including the possible loss of capital. Historical signals and past performance do not guarantee future results. Always perform your own analysis, apply appropriate position sizing and risk management, and consult a qualified financial professional when necessary. อินดิเคเตอร์
MA Ribbon Aurora_Channel_V1 (DRIZZLE_ALGO56) MA Ribbon with Aurora Channels UI
█ Overview
MA Ribbon with Aurora Channels UI is an experimental indicator designed to modernize the classic Moving Average Ribbon. Instead of relying on static trailing averages—which frequently lag during sharp structural shifts—the system fuses custom MA ribbons with Flipped (Inverse) Ribbon Dynamics, Volume Expansion Multipliers, and Asymmetrical Wick Ratios, wrapped inside a real-time HUD interface.
The indicator converts standard ribbon dispersion into a multi-layered, volatility-adaptive envelope (Core Channel, Expansion Envelope, and Trigger Buffer). The channel automatically expands during high-volume momentum breakouts and contracts during low-volatility consolidation phases.
⚠️ Author Note: This project is an experimental research prototype. Optimal performance requires manual tuning of parameter settings (smoothing lengths, volume sensitivity, and width multipliers) based on your target asset, timeframe, and prevailing market regime.
█ How It Works
⚪ Dynamic Midline Engine
The system averages all active moving averages (supporting SMA, EMA, SMMA, WMA, VWMA) to create a central equilibrium reference line.
⚪ Flipped Ribbon & Width Engine
Rather than relying purely on standard moving average distance, the indicator calculates inverse mirror projections for every active ribbon line to measure true structural price dispersion:
flip = 2 * source - ma
The maximum deviation across normal and flipped lines defines the raw channel width, which is then smoothed using an exponential moving average:
rawWidth = math.max(math.abs(diff1), math.abs(diff2), math.abs(diff3), math.abs(diff4))
⚪ Volume-Driven Expansion
Channel width dynamically scales upward when volume participation exceeds its baseline moving average, ensuring bands react instantly to institutional volume spikes:
volRatio = volume / volMa
volBoost = 1.0 + math.max(0.0, volRatio - 1.0) * volSens
⚪ Asymmetrical Wick Balancing
Upper and lower envelope boundaries expand independently based on the ratio of directional wicks relative to ATR. This prevents false boundary breaches caused by one-sided wick rejections:
upAsym = 1.0 + asymStr * (ur / math.max(atrVal, syminfo.mintick))
dnAsym = 1.0 + asymStr * (lr / math.max(atrVal, syminfo.mintick))
⚪ Aurora Multi-Layer Bounds
The engine calculates three distinct volatility zones:
Core Channel: The primary equilibrium zone surrounding the midline.
Expansion Envelope: Outermost normal volatility bounds where directional acceleration occurs.
Trigger Buffer: An extreme extension boundary for mean-reversion cues.
⚪ Signal Engine & HUD Dashboard
The script tracks zone transitions, logging whether a boundary breach represents a 1st Touch or a Retest. The real-time HUD table tracks current zone regime, duration, ribbon compression percentage, active volume boost, and touch history directly on the chart.
█ How to Use
⚪ Volatility Contraction & Compression
When the Ribbon Tightness value on the HUD falls below 30%, the MA ribbon is in deep compression. Price residing strictly inside the Core Channel signals neutral range consolidation prior to a breakout.
⚪ Trend Expansion & Momentum Setup
A candle close outside the Expansion Envelope indicates institutional volume acceleration. Look for 1st Touch (triangle) or Retest (circle) shapes for momentum entries aligned with expanding channel width.
⚪ Mean-Reversion / Profit-Taking Setup
When price reaches or breaches the outer Trigger Buffer, market expansion is overextended. Look for mean-reversion rejections back toward the Core Channel or Midline.
█ Settings
MA Ribbon Inputs
MA #1 – #4: Enable or disable up to four independent moving averages. Select the MA type (SMA, EMA, SMMA, WMA, VWMA), source, length, and plot color.
Display
Show Normal / Flipped Ribbon: Toggle visibility of standard ribbon lines or mirror projections.
Show Core / Envelope / Trigger: Toggle individual channel layer visibility.
Show Dashboard & Position: Enable the real-time HUD and select its chart overlay anchor.
Show Signal Shapes: Enable breakout and retest signal markers.
Channel Engine
Core Multiplier: Sets the width multiplier for the inner fair-value channel.
Envelope Multiplier: Controls the distance of the momentum envelope bounds.
Trigger Buffer Multiplier: Controls the outer overextension boundary.
Width & Edge Smoothing: Sets the EMA smoothing applied to raw dispersion and final channel edges.
Volume MA Length & Sensitivity: Adjusts how strongly volume spikes expand channel boundaries.
Asymmetry Strength: Controls how aggressively upper/lower bounds deform in response to long wicks.
Colors
Core Upper / Lower: Custom colors for the inner channel clouds.
Envelope / Trigger / Midline: Color selection for boundary lines and fill layers.
Cloud Transparency: Adjusts the opacity gradient of background fills.
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. อินดิเคเตอร์
อินดิเคเตอร์
Directionforce IndexDirectionforce Index is an oscillator panel that brings sixteen standard indicators and five freely connectable moving averages together in a single script. It is built for traders who want the classic oscillators available side by side instead of loading each one separately, and who would rather keep their remaining indicator slots free for something else. The principle is a single controller: one selection decides which oscillator the panel displays, while every moving average carries its own connection that determines what it is calculated on. The oscillators follow the established standard formulas — among them Average True Range, Relative Strength Index, Stochastic, Money Flow Index and Ultimate Oscillator — and the averages offer the common smoothing methods. The averages are not bound to the panel: one can just as well run on the chart's own price, and the panel itself can show a second security instead of an oscillator, which makes the script usable in both areas at once.
Controller
Switch Oscillator: selects which of the sixteen oscillators, or the comparison symbol, the panel displays.
Moving Average (present five times, MA 1–MA 5, each instance identically structured)
MA 1–5: switches the average on or off.
Length: number of bars the average is calculated over.
Smoothing Type: SMA, EMA, WMA, VWMA, HMA or RMA.
Connect: what the average is calculated on — the main chart or any one of the oscillators.
Source: the price used, and only available while Connect is set to Main Chart.
Style: Line, Stepline or Circles.
Width: thickness of the drawn line.
Color: color of the line.
Comparison Symbol
Symbol Option: which of the five stored symbols is active.
Symbol 1–5: five freely assignable securities.
Bull / Bear: two colors for rising and falling candles of that security.
Oscillator settings
Each oscillator has its own settings group carrying the parameters it is normally defined by. Most offer a length and a source; where an oscillator conventionally needs more, those inputs are present as well — a smoothing method for Average True Range, a divisor for Ease of Movement, separate lengths for Stochastic RSI, True Strength Index and Ultimate Oscillator.
Oscillator Graphic
Oscillator Color: color of the displayed oscillator.
Show Middleline: switches the middle line on or off.
Background Color: color of the area between the two bands.
The panel shows one oscillator at a time, drawn as a single line in the selected color. Where an oscillator is conventionally read against fixed levels, the corresponding bands are drawn as dashed lines with a shaded area between them, and a middle line is added where one is meaningful — the bands sit at the values established for each oscillator, so they change together with the selection. Oscillators without such levels are drawn without bands.
A moving average appears in the panel only while the oscillator it is connected to is the one currently displayed. Averages connected to Main Chart are independent of this and are always drawn on the main chart itself, on the price rather than on an oscillator. This means the same script can occupy the panel and the main chart at the same time, and switching the oscillator changes what is visible in the panel while the main chart stays as it is.
When Comparison Symbol is selected, the panel shows the candles of the chosen security instead of an oscillator, with a price line marking where it currently trades. The name of whatever is displayed appears in the top right corner of the panel.
Two points worth knowing. The volume-based selections — Ease of Movement, Elder Force Index, Money Flow Index, On Balance Volume, Volume itself, and VWMA as a smoothing method — require a symbol that carries volume data; on symbols without it they stay empty or rest on the zero line. And each average is technically plotted twice, once for the main chart and once for the panel, so both entries remain listed in the data window while only the applicable one carries values.
A note from the author: I do not use this indicator for any particular purpose myself. It began as an idea I wanted to see through — partly to develop my programming skills further, partly out of curiosity about how far Pine Script would carry a design like this. It turned out to be the most demanding script I had written up to that point. I hope it proves useful to others, whatever they end up doing with it.
This indicator is intended solely for market analysis and does not constitute investment advice or a guarantee of success. Use it at your own discretion and risk; past results are not indicative of future performance. อินดิเคเตอร์
Coppock Curve Multi-Filter [MarkitTick]💡 A dual-momentum oscillator built on the classic Coppock Curve, extended with an optional adaptive source pre-filter, an ADX strength gate, and a full ATR-based trade-management layer with staged take-profits, on-chart price levels, and a live dashboard. The core wave is a weighted moving average of two rate-of-change readings, but everything measured downstream of that wave — signal timing, trend bias, and risk levels — can be reshaped by up to eight independent, toggleable filters, giving traders a single oscillator that can behave anywhere from "classic long-term Coppock" to a tightly gated, multi-condition entry engine.
✨ Originality and Utility
The stock Coppock Curve is a single-purpose, long-only momentum tool: sum two rate-of-change readings, smooth with a weighted moving average, and watch for crosses above zero. This script keeps that foundation intact but restructures it into a bidirectional signal engine with a stack of independent confirmation layers that the original concept never included.
The key structural change is the adaptive source stage. Rather than feeding raw closing price directly into the rate-of-change calculations, the script offers a choice of eight different smoothing methods — including a custom Kalman Filter estimator and a custom LLAMA (Linear-Lag Adaptive Moving Average) function — that first condition the price series before Coppock's ROC math is applied. This means the character of the entire curve can be tuned from responsive to heavily smoothed without altering the underlying two-ROC-plus-WMA structure that defines the Coppock method.
Layered on top of that are seven optional gating and confirmation mechanisms (ADX strength, divergence, slope acceleration, volume, higher-timeframe alignment, volatility-adjusted zero line, and signal persistence) that traders can combine in any subset. Because each filter operates independently and can be switched on or off, the same core wave can be configured for a slow trend-confirmation approach or a fast, tightly-filtered signal generator, giving the tool a much broader utility range than a standard Coppock plot.
Beyond signal generation, the script converts each qualifying cross into a full trade plan: an ATR-derived stop-loss, three R-multiple take-profit tiers, live price levels drawn on the chart, and a real-time dashboard summarizing bias, filter states, and trade levels — none of which exist in the original Coppock Curve concept or in standard TradingView implementations of it.
🔬 Methodology and Concepts
● Core Wave Construction
The engine begins with an adaptive source stage. If no adaptive filter is selected, the raw chosen source (default: close) feeds directly into the calculation. If a filter is selected, the source is pre-smoothed using one of the following:
Simple, Exponential, or RMA-based moving averages
A Double WMA (a weighted moving average applied twice in succession, producing extra lag reduction)
A Triple VWMA (three successive volume-weighted moving average passes)
A Hull Moving Average
A custom LLAMA function, which computes a simple moving average over the lookback window, then adds a linear slope term (calculated from the change in price across the window divided by the window length) scaled by half the window length — effectively projecting the average forward along its own recent trajectory
A custom Kalman Filter estimator, which maintains a running estimate and error variance, calculates a Kalman gain each bar from the ratio of predicted error to total error, and blends the new price into the estimate proportionally to that gain — placing more weight on new data when the filter's own uncertainty is high, and more weight on the existing estimate when it is low
Once the (optionally smoothed) source is established, two Rate of Change values are calculated against it — a long lookback and a short lookback, independently configurable. These two ROC values are summed and passed through a weighted moving average, producing the final Coppock Curve value. This is structurally identical to the classic Coppock formula, but with the adaptive pre-filter as an optional intermediate step.
• ADX Strength Filter
When enabled, the script calculates the Directional Movement Index (+DI, -DI, ADX) over a configurable length. A signal — whether a slope change, a cross, or a zero-line cross — is only considered valid if the ADX reading is at or above the user-defined threshold. This filters out Coppock movements that occur during weak or directionless conditions.
• Slope and Cross Detection
The script tracks whether the curve is rising or falling bar-to-bar, and separately detects two types of crosses: a cross of the curve against its own prior value (used as the primary bull/bear signal) and a cross of the curve against the zero line (used as a secondary trend-state signal). Both cross types respect the ADX filter when it is active.
• Signal Locking
A "Lock Signal" input freezes the active signal and trade levels on the most recent bar, preventing new signals from overwriting the currently displayed trade plan — useful for holding a specific setup visible while monitoring live price action.
● Trade-Level Automation
Every new bullish or bearish cross (confirmed and unlocked) triggers a full trade-plan calculation:
Entry is set to the prior bar's close
Stop-loss is placed at a configurable multiple of ATR away from entry, in the direction opposing the trade
Three take-profit levels are calculated as configurable R-multiples of the initial risk distance (the entry-to-stop distance), projected in the trade's favor
Each level's distance from entry is also expressed as a percentage for quick reference
These levels persist on the chart until a new opposing signal fires (or, if Lock Signal is active, until manually released), and are dynamically extended to the current bar so the trade plan remains visible in real time. Take-profit and stop labels update their text once price actually touches each respective level, marking it as hit along with the realized percentage move.
● Optional Confirmation Filters
Seven additional filters exist as inputs in the script but should be understood as configuration flags a trader can layer onto the core signal logic depending on their own methodology:
Divergence Filter — intended to suppress cross signals that run counter to a detected price/Coppock divergence
Slope Acceleration Filter — intended to require the curve's slope itself to be increasing, not merely positive, before validating a signal
Volume Confirmation Filter — intended to require current volume to exceed its moving average before a signal is accepted
HTF Alignment Filter — intended to require a higher-timeframe Coppock reading to agree with the signal's direction
Volatility-Adjusted Zero Line — intended to require zero-line crosses to clear a noise band derived from the indicator's own recent volatility, reducing whipsaw signals near the zero line
Signal Persistence Filter — intended to require the curve's direction to hold for a minimum number of bars before a signal is treated as valid
Traders should treat these as intended-purpose toggles per their input tooltips and confirm behavior against the ADX filter and core cross logic, which are the two filters fully wired into the signal path in this build.
🎨 Visual Guide
● Main Panel (Separate Pane)
The primary line plot shows the Coppock Curve itself. It is colored using the Bull Color when the curve is rising and the ADX filter (if active) passes, the Bear Color when falling under the same condition, and the Neutral Color otherwise.
A histogram of the same Coppock value is plotted in columns beneath the line, using a four-tier color scheme: strong bull shading when the curve is above zero and rising, weak bull shading when above zero but not rising, weak bear shading when below zero but rising, and strong bear shading when below zero and falling.
A dashed horizontal zero line marks the neutral threshold that separates bullish and bearish curve territory.
Small triangle markers appear directly on the curve at the exact bar where it crosses zero — an upward triangle in Bull Color for an upward zero-cross, and a downward triangle in Bear Color for a downward zero-cross.
● Price Chart Overlay
When candle coloring is enabled, the price candles themselves are recolored using the same four-tier histogram coloring described above, turning the price chart into a visual heatmap of underlying Coppock strength and direction.
When a new signal fires and trade levels are enabled, five horizontal lines are drawn directly on price: a solid stop-loss line, a dashed entry line, and three dashed take-profit lines with progressively increasing opacity from TP1 to TP3. Each line carries a right-aligned label showing its role and exact price.
A shaded "risk zone" fills the area between the stop-loss and entry lines, and a "reward zone" fills the area between the entry and TP3 lines, giving an immediate visual sense of the risk-to-reward geometry of the active trade plan.
Once a take-profit or stop level is touched by price, its label updates in place to show a hit confirmation along with the realized percentage gain or loss.
● Dashboard Table
A compact table (position configurable) displays, in real time: the current symbol and timeframe, the Lock Signal state, the raw Coppock value, the current bias (Bullish / Bearish / Neutral, color-coded), the individual long and short ROC readings, whether the curve is currently above or below zero, and — when trade levels are enabled — the live Entry, SL, TP1, TP2, and TP3 prices. If the ADX filter is active, its current reading is shown alongside a pass/fail color cue. If an adaptive filter is selected, its name is displayed for quick reference.
📖 How to Use
Treat a bullish cross (curve turning up) as a potential long-side signal, and a bearish cross (curve turning down) as a potential short-side signal, especially when it aligns with a zero-line cross in the same direction.
Use the zero line as a broader trend-state filter: readings above zero generally reflect positive intermediate-term momentum, while readings below zero reflect negative momentum, independent of the immediate slope.
Enable the ADX filter to restrict signals to periods of measurable trend strength, reducing signals generated during flat or choppy conditions.
Select an adaptive filter method to change the responsiveness of the underlying source feeding the Coppock calculation — faster methods like EMA or the Kalman Filter increase sensitivity, while methods like the Triple VWMA or SMA produce a smoother, slower curve.
When a signal fires, use the automatically plotted Entry, SL, and TP1–TP3 lines as a starting reference for trade structure, and adjust position sizing according to the displayed stop distance and your own risk tolerances.
Use candle heatmap coloring as a quick visual scan across the chart to spot where momentum has historically been strongest or weakest, independent of reading the oscillator pane directly.
Configure the webhook alert action strings in the Alerts group to match the payload keys expected by your automation or webhook receiver before relying on the JSON-formatted alerts for execution.
⚙️ Inputs and Settings
• Core Settings
Source — the price series the calculation is based on (default: close)
Long ROC Length — lookback for the long-term rate-of-change component
Short ROC Length — lookback for the short-term rate-of-change component
WMA Smoothing Length — window for the final weighted moving average applied to the combined ROC values
• Filters
Use ADX Filter / ADX Threshold / ADX Length — enables trend-strength gating and configures its sensitivity
Adaptive Filter / Adaptive Filter Length — selects the pre-smoothing method applied to price before the ROC/WMA math, and its lookback window
Use Divergence Filter / Divergence Pivot Lookback — configuration for suppressing signals against detected divergence
Use Slope Acceleration Filter — configuration for requiring accelerating slope before a signal
Use Volume Confirmation Filter / Volume MA Length — configuration for requiring above-average volume
Use HTF Alignment Filter / HTF Alignment Timeframe — configuration for requiring higher-timeframe agreement
Use Volatility-Adjusted Zero Line / Volatility Zero Band Multiple / Volatility Zero Band Length — configuration for a noise-adjusted zero-cross threshold
Use Signal Persistence Filter / Persistence Bars — configuration for requiring a minimum number of bars of consistent direction
• Trade Tools
Lock Signal — freezes the currently active signal and trade levels
SL ATR Multiple — sets stop-loss distance as a multiple of ATR
TP1 / TP2 / TP3 R-Multiple — sets each take-profit distance as a multiple of the initial risk
ATR Length — lookback for the Average True Range calculation used in stop placement
Show Trade Levels — toggles the on-chart lines, labels, and dashboard trade-level rows
• Visuals
Use Candle Coloring — toggles heatmap-style recoloring of price candles
Show Histogram — toggles the columned histogram beneath the main curve
Show Zero-Cross Markers — toggles the triangle markers at zero-line crosses
• Dashboard
Show Dashboard — toggles the on-chart summary table
Position — sets the table's screen position
• Alerts
Action strings for Bull Cross, Bear Cross, Zero Cross Up/Down, Close Long/Short, and TP1/TP2/TP3/SL Hit — these populate the "action" field of each JSON alert payload, allowing the alerts to be mapped directly to webhook or automation logic
• Colors
Full palette control over bull/bear/neutral coloring, histogram tiers, dashboard styling, and all trade-level line and fill colors
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Rate of Change and the Coppock Curve
The foundation of this script is Edwin Coppock's original curve, published in Barron's in 1962, which sums a long-term and a short-term Rate of Change and smooths the result with a weighted moving average. Rate of Change itself is a first-order momentum measure — the percentage difference between the current value and its value N bars ago — rooted in the broader technical-analysis principle that the velocity of price change often leads price direction itself. Coppock's original design used a WMA specifically because it weights recent data more heavily than a simple average while remaining less reactive to single-bar noise than an exponential average.
● Weighted and Hull Moving Averages
The Weighted Moving Average used both in the final smoothing stage and optionally in the adaptive pre-filter assigns linearly decreasing weights to older data points, a technique long used to balance responsiveness against noise rejection. The Hull Moving Average, developed by Alan Hull, extends this idea by combining WMAs of different lengths in a way designed to reduce lag while preserving smoothness — a documented refinement of the general weighted-average family.
● Kalman Filtering
The Kalman Filter, originally developed by Rudolf Kálmán in the context of control and estimation theory, is a recursive algorithm for estimating an unknown value from a series of noisy observations. In this implementation, the filter maintains a running estimate and an error term, computes a Kalman gain from the ratio of predicted error to total error each bar, and updates the estimate by blending new price data in proportion to that gain. This gives the estimate more responsiveness when its own uncertainty is high and more smoothness when uncertainty is low — the same estimation principle underlying Kalman's original work, applied here to a single noisy input series rather than a multi-variable state system.
● Directional Movement and Trend Strength (Wilder)
The optional ADX filter is built on J. Welles Wilder's Directional Movement System, which derives +DI and -DI from directional price movement smoothed with Wilder's own moving average technique, then compresses their divergence into the Average Directional Index (ADX) as a bounded measure of trend strength independent of direction. Using ADX as a gating condition reflects the broader academic distinction between trend-following and mean-reverting market regimes — Wilder's system was explicitly designed to help separate the two.
● Average True Range and Volatility-Based Risk Sizing
Stop-loss and take-profit distances in this script are derived from Average True Range, also introduced by Wilder, which measures volatility by accounting for gaps as well as intraperiod range. Sizing risk as a multiple of ATR — rather than a fixed point or percentage value — is a widely documented approach in position-sizing literature because it scales stop distance to the instrument's actual recent volatility rather than an arbitrary constant.
● R-Multiples and Risk-Reward Structuring
The three-tiered take-profit structure expresses reward as a multiple of initial risk (an "R-multiple"), a framework popularized in trading risk-management literature to normalize outcomes across trades of different sizes and volatility regimes, allowing performance to be evaluated in terms of risk-adjusted return rather than raw price movement.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. อินดิเคเตอร์
Markus Channel + Dual Expansion Envelopes_V1Markus Channel + Dual Expansion Envelopes (Crossover Multiplier MA)
█ OVERVIEW
Markus Channel + Dual Expansion Envelopes is a multi-layer expansion trading system originally designed and calibrated around XAUUSD for spot traders.
Most retail brokers (Vantage, IC Markets, Pepperstone, etc.) do not provide a true order book or Level 2 data on gold. The only reliable real-time participation metric available is tick volume. This indicator was built from the ground up to extract maximum information from tick volume and turn it into a clean, adaptive expansion framework.
At its core sits an original hybrid construction — the Markus Channel — which fuses a volume-sensitive Keltner core with the statistical width of Bollinger Bands. Around this core, two adaptive outer envelopes (Orange Expansion + Blue Trigger) and a dynamic Crossover Multiplier MA are projected.
The result is a complete visual hierarchy for gold expansion / breakout trading when you only have tick volume to work with:
Core structure → First expansion → Confirmed expansion → Dynamic multiplier targets
█ HOW IT WORKS
⚪ 1. Auto MA Selection Engine (Adaptive AI)
Five classic moving averages are calculated in parallel (SMA, EMA, RMA, WMA, VWMA).
Each candidate is scored using a combined error function:
Lag Error = SMA( (MA − Source)² , length )
Jitter = SMA( (ΔMA)² , length )
Score = Lag Error + (Jitter × Penalty)
The MA with the lowest score is automatically selected. This keeps the center line optimally responsive on the highly volatile XAUUSD tick stream.
⚪ 2. Markus Channel (Original Hybrid Construction for Spot Gold)
Because no real order book is available, the entire channel is driven by tick volume:
1. Midline = Auto-selected MA of close (Base Center Length)
2. Bollinger Bands = Midline ± (StdDev × BB Multiplier)
3. Tick Volume Ratio = Volume / SMA(Volume, Vol Length)
4. Dynamic Keltner Multiplier = clamp( 3.0 + (Volume Ratio − 1) × Volume Sensitivity , 3.0 , 4.0 )
5. Keltner Bands = Midline ± (ATR × Dynamic Multiplier)
6. Band Difference = Bollinger − Keltner
7. Smoothed Difference = SMA(Band Difference, Diff MA Length)
Final Markus Bands:
Markus Upper = Keltner Upper + Smoothed Upper Difference
Markus Lower = Keltner Lower + Smoothed Lower Difference
This construction allows the channel to:
• Expand aggressively when tick volume spikes (the only real-time participation signal available on most brokers)
• Retain the statistical properties of Bollinger Bands
• Smooth the difference so the final bands remain stable even during gold’s fast moves
⚪ 3. Orange Expansion Envelope
Channel Width = Markus Upper − Markus Lower
Average Width = SMA(Channel Width, Expansion MA Length)
Volume Boost = 1 + max(0, Tick Volume Ratio − 1) × Orange Volume Boost
Orange Offset = (Average Width × 0.5 × Orange Base Multiplier) × Volume Boost
Orange Upper / Lower = Markus Bands ± Orange Offset
Optional “Breakouts Only” mode keeps the chart clean until price actually leaves the Markus channel.
⚪ 4. Blue Trigger Channel
Two memory modes designed for gold’s expansion behavior:
• Dynamic Tracking – slowly decays after the expansion ends
• Hold Peak Level – latches the extreme expansion level until a new expansion occurs
A final volatility buffer (scaled by the same tick-volume boost) is applied to create the Blue Trigger zone.
⚪ 5. Crossover Multiplier MA Engine
On every cross of the selected target (Midline / Markus / Orange / Blue):
Raw Multiplier = Dynamic Keltner Multiplier × Tick Volume Ratio
The multiplier is latched on the cross and smoothed by the Auto MA engine. Projection lines are then drawn:
Cross Upper / Lower = Midline ± (ATR × Smoothed Multiplier)
These lines act as adaptive, volume-scaled targets that expand and contract with real participation — critical when trading XAUUSD without an order book.
█ HOW TO USE (XAUUSD Spot Focus)
• Expansion Detection
Background turns green/red when price breaks a Markus band while channel width is expanding on rising tick volume.
• First Target
Orange Envelope = initial expansion objective on gold.
• High-Conviction Expansion
Blue Trigger Channel = stronger expansion zone (especially useful in Hold Peak mode during London/NY gold sessions).
• Dynamic Targets After Cross
Crossover Multiplier lines provide live support/resistance that scale with the intensity of the tick-volume surge.
• Regime Context
The HUD shows active MA type, current multiplier strength, expansion state, and bullish/bearish regime at a glance.
Built specifically for traders who trade gold spot CFDs and only have tick volume as their real-time activity metric.
█ SETTINGS
• Auto MA Selection Engine – Adaptive AI or Manual
• Markus Engine – Base length, BB multiplier, ATR length, tick-volume sensitivity, difference MA
• Orange Expansion Envelope – Base multiplier + volume boost + breakout-only mode
• Blue Trigger Channel – Buffer size + Dynamic / Hold Peak memory
• Crossover Multiplier MA – Target layer + smoothing length
• Full visual control (clouds, backgrounds, candle coloring, HUD, colors)
█ NOTES
The Markus Channel is an original hybrid construction developed and tuned on XAUUSD. It deliberately uses tick volume (the only participation data most brokers provide) instead of relying on a non-existent order book. All outer envelopes and the Crossover Multiplier engine are derived from this core structure.
Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.
Not financial advice ! อินดิเคเตอร์
ICT & SMC Guide [JPT]🔷 OVERVIEW
ICT & SMC Guide is an educational price-action indicator designed to organize key ICT (Inner Circle Trader) and SMC (Smart Money Concepts) ideas into a clear visual framework.
The indicator focuses on liquidity, session behavior, market structure, displacement, and Fair Value Gaps (FVGs), helping traders analyze potential setups through a structured top-down process.
🔷 HOW IT WORKS
The indicator continuously evaluates price action and highlights important ICT/SMC conditions.
When qualifying conditions appear, it can:
• Identify Asia, London & New York sessions
• Track important session highs and lows
• Detect potential Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) sweeps
• Identify Market Structure Shifts (MSS)
• Detect bullish and bearish displacement
• Highlight Fair Value Gaps (FVGs)
• Identify potential 2022 Model conditions
• Highlight potential FVG + $$$ Model setups
🔷 CORE CONCEPTS
The indicator brings several concepts together:
• Session Liquidity
• Liquidity Sweeps
• Buy-Side / Sell-Side Liquidity
• Market Structure
• Market Structure Shift
• Displacement
• Fair Value Gaps
• 2022 Model
• FVG + $$$ Model
• Trend Bias
🔷 VISUAL FEATURES
• Asia session range
• London session range
• New York session range
• Liquidity sweep markers
• Bullish and bearish FVG zones
• Market structure signals
• Bullish/Bearish setup labels
• Entry, Stop Loss & Target framework
• ICT & SMC information dashboard
• Optional EMA 50 / EMA 200 trend context
• Historical signals for chart review
🔷 ICT & SMC WORKFLOW
A common workflow is:
Liquidity → Sweep → Displacement → Structure Shift → FVG → Confirmation
Rather than treating every liquidity sweep or FVG as a trade, users can wait for multiple conditions to align before considering a setup.
🔷 USAGE
Identify the relevant session and liquidity range.
Watch for a liquidity sweep.
Look for displacement and a structure shift.
Check for a relevant FVG or model formation.
Review the potential trade framework.
Combine the indicator's information with your own market analysis and risk management.
🔷 MARKETS
The indicator can be applied to:
• Forex
• Cryptocurrency
• Indices
• Commodities
• Stocks
It can be used across multiple timeframes depending on the trader's analysis and strategy.
🔷 IMPORTANT NOTE
ICT & SMC Guide is designed as an educational market-structure and price-action tool. ICT/SMC concepts can be interpreted differently by traders, and no indicator can guarantee the outcome of a trade.
Always perform your own analysis, use appropriate risk management, and avoid relying on any single signal or model.
🔷 DISCLAIMER
This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Signals and levels are algorithmically generated and may be inaccurate or unsuitable for individual trading decisions. Past performance does not guarantee future results. Trade responsibly and manage your risk. อินดิเคเตอร์
Dynamic Grid Indicator [BigBeluga]🔵 OVERVIEW
The Dynamic Grid Indicator is an advanced technical indicator created by BigBeluga to map volatility-based grid channels across price charts while simultaneously plotting a synchronized multi-level oscillator pane. Traditional envelope indicators often use static standard deviation bands that fail to adjust to shifting trend momentum or localized price congestion. In order to provide a solution to this problem, this indicator combines a Hull Moving Average (HMA) central baseline with Average True Range (ATR) multiplier steps, automatically fading channel lines and generating precise crossover signals when price interacts with structural grid borders.
The indicator aims to visualize volatility expansion, compression, and overextended momentum zones. The core element of its calculation involves measuring price distance from the central baseline scaled by volatility steps defined as:
centerLine = ta.hma(close, hmaLength)
oscValue = atrVal != 0 ? (close - centerLine) / atrVal : 0.0
where centerLine acts as the adaptive trend anchor, and oscValue normalizes deviations into standardized grid units. Higher values of numLevels and ATR multipliers allow the indicator to filter out localized market noise and isolate major overbought or oversold structural extremes.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Dynamic HMA & ATR Grid Engine
Central Baseline Momentum: Tracks trend direction and baseline elasticity using customizable Hull Moving Average lengths via ta.hma(close, hmaLength)
Volatility Multiplier Steps: Projects up to 5 multi-tiered grid levels above and below the baseline scaled dynamically by ATR volatility.
2 — Proximity Fade & Edge Label Management
Smart Proximity Hiding: Automatically hides chart grid line segments when price approaches a level within a set percentage threshold using diff <= proxDist .
Right-Edge Price Tags: Automatically renders live numerical price tags and oscillator labels on the right edge of the chart using custom label management functions.
3 — Synchronized Oscillator Pane & Position Dashboard
Multi-Level Oscillator Fill: Projects a synchronized sub-pane oscillator complete with gradient fills and crossover signal annotations.
Position Scale Dashboard: Features an interactive table displaying real-time level states and oscillator positioning across the grid.
🔵 HOW TO USE
Apart from the basic visualization of volatility channels, this tool can also act in alternative ways to support decision-making:
Identify Channel Extremes: Monitor the outer grid levels (+3 to +5 / -3 to -5) to spot overextended market conditions where price is likely to revert or consolidate.
Trade Grid Crossovers: Look for confirmed crossover signals and direction labels (▲/▼) when price breaks across key grid boundaries to catch trend continuations.
Track Momentum via Oscillator: Observe the sub-pane oscillator line and gradient fill to gauge the strength of the current move relative to the volatility baseline.
🔵 NOTES
Why this implementation is unique:
It combines an overlay price grid with a synchronized, volatility-normalized oscillator pane in a single unified script.
The proximity fade engine keeps the chart clean by automatically removing line clutter directly under active price action.
The script is fully optimized for Pine Script version 6, utilizing advanced conditional plotting, multi-timeframe safety filters, and dynamic dashboard tables.
อินดิเคเตอร์
Stopping Volume EMA RetraceStopping Volume EMA Retrace is designed to identify potential retracement setups when price becomes significantly extended away from an exponential moving average and the extended candle also shows unusually high volume together with rejection.
The indicator combines price extension, relative volume and candle structure for one specific purpose.
Price distance identifies when the market has moved unusually far from its mean.
Relative volume identifies unusually high participation at that extended location.
Wick structure and closing position are then used to filter for rejection-style candles rather than ordinary high-volume continuation candles.
HOW IT WORKS
The EMA acts as the mean and retracement reference.
The default EMA length is 50, but this can be changed by the user.
Upper and lower extension levels are calculated as a percentage distance from the EMA.
The default extension distance is 3%.
For a bullish setup, the candle low must reach or move below the lower extension level.
For a bearish setup, the candle high must reach or move above the upper extension level.
The extension calculation deliberately uses the candle high or low rather than only the closing price.
This allows a candle to move beyond the selected threshold, reject the extended area and close back toward the EMA while still qualifying as a setup.
RELATIVE VOLUME
A qualifying candle must also show unusually high volume.
The Volume Average Length controls how many previous completed candles are used to establish the volume baseline.
The High Volume Multiplier determines how much larger the current candle's volume must be compared with that baseline.
With the default settings, the current candle must have at least 2.0 times the average volume of the previous 20 completed candles.
REJECTION STRUCTURE
High volume alone does not generate a signal.
For a bullish setup, the candle must contain a sufficiently large lower rejection wick and close sufficiently far away from its low.
For a bearish setup, the candle must contain a sufficiently large upper rejection wick and close sufficiently far away from its high.
The optional wick-dominance filter can additionally require the rejection wick to be larger than the wick on the opposite side of the candle.
The Minimum Rejection Wick setting controls the required wick size as a percentage of the complete candle range.
The Minimum Close Recovery setting controls how strongly the candle must recover away from the rejected extreme.
SIGNALS
A bullish signal requires all of the following conditions on the same candle:
Price reaches the selected distance below the EMA.
Volume exceeds the selected relative-volume threshold.
The candle shows the required lower-wick rejection.
The candle closes sufficiently far away from its low.
If wick dominance is enabled, the lower wick must also be larger than the upper wick.
A bearish signal uses the inverse conditions above the EMA.
Signals are confirmed only after the qualifying candle closes.
Historical signal markers are displayed on the candle where the confirmed condition occurred. They are not backplotted onto earlier candles.
WHY THESE CONDITIONS ARE COMBINED
Distance from an EMA by itself only identifies price extension.
High volume by itself cannot distinguish continuation from rejection.
A large wick by itself can occur without unusually high market participation.
Stopping Volume EMA Retrace therefore requires these conditions to occur together.
The EMA extension supplies location.
Relative volume supplies participation context.
The wick and closing-position filters supply rejection context.
The result is a focused OHLCV-based method for highlighting extended high-volume rejection candles that may precede a retracement toward the mean.
HOW TO USE
First watch for price approaching or moving beyond one of the EMA extension levels.
Then wait for a highlighted stopping-volume candle or signal marker.
A bullish signal indicates that qualifying high relative volume and rejection occurred while price was extended below the EMA.
A bearish signal indicates the corresponding condition while price was extended above the EMA.
The EMA can then be used as a visual mean or retracement reference.
It should not be treated as a guaranteed target.
The signal can be evaluated together with market structure, trend, support and resistance, liquidity context and the user's own risk management.
Different markets have different volatility and volume characteristics.
The EMA distance can therefore be adjusted to determine how far price must become extended before a setup is considered.
The volume multiplier can be increased to require more exceptional volume.
The rejection-wick and close-recovery settings can also be increased to make signals more selective.
VISUAL SETTINGS
The EMA, upper extension and lower extension lines can each be shown or hidden independently.
Each line has independent colour, thickness and line-style controls.
Solid, dashed and dotted line styles are available.
Optional glow effects are available for the EMA and both extension lines.
All glow effects are disabled by default.
Bullish and bearish stopping-volume candles can be highlighted independently.
The bullish and bearish candle colours are user adjustable.
Signal markers can also be shown or hidden and have their own independent colour controls.
ALERTS
Alert conditions are included for:
Bullish stopping-volume retrace signals.
Bearish stopping-volume retrace signals.
Either signal type.
Because signals require a confirmed candle, alerts based on these conditions become valid when the qualifying candle closes rather than while it is still forming.
LIMITATIONS
The stopping-volume classification used by this indicator is an OHLCV-based analytical heuristic.
It does not use order-book information, true bid/ask trade classification or direct measurements of executed order-flow absorption.
High relative volume together with rejection therefore does not prove that absorption occurred.
Reported volume can differ between exchanges, brokers and data feeds. The same settings may therefore produce different signals on different markets or venues.
The EMA and extension levels can move while the current realtime candle is forming.
Signal conditions themselves require the candle to close before confirmation.
The indicator does not calculate historical win rates, simulated trade outcomes or Strategy Tester results.
It does not model commissions, spread, slippage, liquidity, position sizing or trade execution.
A confirmed signal means that the configured extension, relative-volume and rejection conditions occurred. It does not imply that price will subsequently return to the EMA or that a trade will be profitable. อินดิเคเตอร์
Normalize RSI | TR📊 Normalize RSI | TR – Smart RSI Oscillator with Adaptive Normalization & Trend Signals
This indicator transforms the classic RSI into a dynamic, normalized oscillator that adapts to market conditions. It applies a multi-stage smoothing and normalization process to filter out noise, highlight true momentum shifts, and generate clear trend signals.
🔧 Key Features:
RSI Normalization – Centers RSI around 50 and normalizes it over a user-defined lookback period, creating a clean, bounded oscillator.
Dual Smoothing – Applies an exponential smoothing factor twice, allowing you to control responsiveness and reduce false signals.
Trend Detection – Automatically identifies bullish and bearish trends based on crossing customizable overbought/oversold levels.
Dynamic Color Palette – Choose from 9 color themes (Classic, Modern, Heat, Robust, Accented, Monochrome, Moderate, Aqua, Cosmic) to match your chart aesthetic.
Visual Signals – Displays colored candlesticks, background zones, entry shapes (triangles), and a real-time table with the current trend direction.
Momentum-Based Fill Transparency – The fill area between the zero line and the oscillator adapts to momentum strength, giving you visual cues on volatility.
Multi-Plot Display – Plots the normalized RSI, zero line, overbought/oversold levels, and includes a floating label with the latest value.
⚙️ Customizable Inputs:
RSI Length & Smoothing MA Type (EMA, SMA, RMA, WMA, VWMA, HMA, DEMA, TEMA, TRIMA, FRAMA, SWMA)
Normalization Length & Smoothing Factor
Clipping Factor to preserve extreme moves
Overbought / Oversold Levels (adjustable from -50 to +50)
🚨 Alerts Built-In:
Bullish / Bearish crossover of zero
Entry into Overbought / Oversold zones
📈 Ideal For:
Swing traders and scalpers looking for a refined RSI-based edge
Traders who prefer visual clarity and customizable color schemes
Those who want to combine momentum, trend, and volatility into one indicator อินดิเคเตอร์
TEWMA Momentum Cloud - [JTCAPITAL]TEWMA Momentum Cloud - is a modified way to use dual-length Triple Exponential Weighted Moving Averages (TEWMA), momentum, and the rate of change of the TEWMA spread for Trend-Following and trend-state analysis.
The indicator is designed to do more than simply determine whether price is above or below a moving average. It compares two differently scaled TEWMA calculations to determine the current directional bias, while simultaneously measuring whether the distance between the two TEWMAs is expanding or contracting.
This creates four primary trend states:
* Bullish + Accelerating — the faster TEWMA is above the slower TEWMA and the difference between them is increasing.
* Bullish + Decelerating — the faster TEWMA remains above the slower TEWMA, but the difference between them is decreasing.
* Bearish + Accelerating — the faster TEWMA is below the slower TEWMA and the difference between them is becoming more negative.
* Bearish + Decelerating — the faster TEWMA remains below the slower TEWMA, but the difference between them is becoming less negative.
A fifth state, Neutral / Flattening , is used when the directional relationship between the two TEWMAs remains bullish or bearish, but the averaged TEWMA is moving in the opposite direction. This helps identify situations where the prevailing directional structure is losing momentum.
The result is a visual trend cloud in which the color of the TEWMA lines changes according to both direction and momentum expansion or contraction .
The indicator works by calculating in the following steps:
Selecting the Price Source
The script begins with a user-selected price source. By default, the source is the Close price.
This source is then used as the raw input for both TEWMA calculations. Because the two TEWMAs use the same source but different lengths, the difference between them primarily reflects the way the market is behaving across two different smoothing horizons.
Determining the Second TEWMA Length
The user specifies the primary Length , which defaults to 50.
The second length is dynamically derived from this value using the Multiplier :
Second Length = Length x Multiplier
The result is rounded to the nearest whole number because moving-average lengths must be represented as integer values.
With the default settings:
50 x 2.50 = 125
Therefore, the two TEWMA calculations use lengths of 50 and 125.
This creates a faster and slower version of the same underlying smoothing methodology. The shorter TEWMA reacts more quickly to changes in price, while the longer TEWMA provides a slower representation of the broader price direction.
Weighted Moving Average Calculation
Before the TEMA calculation is applied, the selected source is first processed through a Weighted Moving Average (WMA) .
The WMA assigns greater importance to more recent observations within its calculation period and progressively less importance to older observations.
This makes the resulting moving average more responsive to recent price changes than a conventional SMA.
The script performs this process separately for both lengths:
WMA(source, Length)
and
WMA(source, Second Length)
The resulting WMA series are then passed into the TEMA calculations.
Triple Exponential Moving Average Calculation
The WMA output is then processed through a Triple Exponential Moving Average (TEMA) .
TEMA is designed to reduce the lag that can occur when repeatedly smoothing a data series.
Conceptually, TEMA uses three levels of exponential smoothing and combines them in a way that reduces a substantial portion of the lag introduced by traditional moving averages.
The general TEMA structure can be represented as:
TEMA = 3 x EMA1 - 3 x EMA2 + EMA3
where EMA1 is the first exponential smoothing, EMA2 is an EMA of EMA1, and EMA3 is an EMA of EMA2.
In this script, TEMA is applied to the WMA rather than directly to price.
This produces:
TEWMA1 = TEMA(WMA(source, Length), Length)
and
TEWMA2 = TEMA(WMA(source, Second Length), Second Length)
The combination of WMA followed by TEMA is what gives the indicator its TEWMA construction.
The purpose of combining these smoothing methods is to create a trend representation that remains substantially smoother than raw price while retaining responsiveness to directional changes.
Creating the Average TEWMA
The two TEWMA calculations are then averaged:
TEWMA = (TEWMA1 + TEWMA2) / 2
This average represents the central line of the indicator.
Instead of relying exclusively on either the faster or slower TEWMA, the average provides a combined representation of both time horizons.
This can make the central trend representation less dependent on one specific smoothing length.
Calculating TEWMA Momentum / Spread
The script then calculates the difference between the two TEWMA values:
Momentum = TEWMA1 - TEWMA2
This is one of the most important calculations in the indicator.
The value is positive when TEWMA1 is above TEWMA2 and negative when TEWMA1 is below TEWMA2.
However, the script does not only look at whether this value is positive or negative. It also compares the current value with its previous value.
Therefore, the indicator is effectively examining the direction and rate of change of the spread between the two TEWMAs .
Detecting Bullish Acceleration
Bullish acceleration occurs when:
TEWMA1 > TEWMA2
and
Momentum > Momentum
The first condition establishes that the faster TEWMA is above the slower TEWMA.
The second condition establishes that the difference between the two TEWMAs is increasing.
Therefore, bullish acceleration means that the bullish separation between the two trend filters is expanding.
This is represented by Signal = 2 .
Detecting Bullish Deceleration
Bullish deceleration occurs when:
TEWMA1 > TEWMA2
and
Momentum < Momentum
The faster TEWMA is still above the slower TEWMA, so the overall directional relationship remains bullish.
However, the spread between the two TEWMAs is shrinking.
This means the bullish structure is becoming less expansive, even though the bullish relationship between the two trend measurements has not necessarily disappeared.
This is represented by Signal = 1 .
Detecting Bearish Acceleration
Bearish acceleration occurs when:
TEWMA1 < TEWMA2
and
Momentum < Momentum
The faster TEWMA is below the slower TEWMA, establishing a bearish relationship.
At the same time, the momentum difference is becoming increasingly negative.
Therefore, the separation between the two TEWMAs is expanding in the bearish direction.
This is represented by Signal = -2 .
Detecting Bearish Deceleration
Bearish deceleration occurs when:
TEWMA1 < TEWMA2
and
Momentum > Momentum
The faster TEWMA remains below the slower TEWMA, so the broader directional relationship remains bearish.
However, the difference between the two TEWMAs is becoming less negative.
This means the bearish separation is contracting.
This is represented by Signal = -1 .
Detecting Neutral / Flattening Conditions
The neutral condition is different from simply checking whether the two TEWMAs have crossed.
The script checks whether the directional relationship between TEWMA1 and TEWMA2 conflicts with the movement of their average.
A neutral state occurs when either:
TEWMA1 > TEWMA2 while TEWMA is falling
or
TEWMA1 < TEWMA2 while TEWMA is rising .
In other words, the two TEWMAs may still maintain a bullish or bearish relationship, but the combined TEWMA is beginning to move in the opposite direction.
This provides an additional way of identifying a loss of directional momentum before relying solely on a crossover.
The neutral state is represented by Signal = 0 .
Assigning the Persistent Trend State
The script stores the current signal state in a persistent variable.
The possible states are:
2 = Bullish + Accelerating
1 = Bullish + Decelerating
-1 = Bearish + Decelerating
-2 = Bearish + Accelerating
0 = Neutral / Flattening
Because the signal variable is persistent, it retains its previous value when none of the explicitly defined conditions changes the state.
This means the indicator is not simply recalculating an independent label on every bar; it maintains the latest identified trend state until another condition updates it.
Assigning the Visual Trend Color
The signal state determines the color used by the plotted TEWMA lines.
Bullish acceleration receives one color, bullish deceleration another, bearish acceleration another, bearish deceleration another, and neutral conditions receive a separate neutral color.
The visual distinction therefore communicates two dimensions simultaneously:
1. Direction — bullish or bearish
2. Momentum behavior — accelerating or decelerating
This allows the user to distinguish between a bullish trend that is strengthening and a bullish trend that is losing expansion, rather than treating both situations as identical.
Plotting the Central TEWMA
The averaged TEWMA is plotted as the primary, thicker line.
This line represents the combined trend estimate derived from the faster and slower TEWMA calculations.
Its color changes according to the current signal state.
Creating the Visual Cloud
The script creates an additional hidden plot at:
TEWMA x 0.9
and fills the area between the primary TEWMA and this lower reference level.
The same visual technique is also applied to TEWMA1 and TEWMA2.
These fills create the visual cloud/ribbon appearance of the indicator.
It is important to understand that these filled regions are primarily visual enhancements . They are not additional volatility bands, standard-deviation bands, ATR bands, or independent support/resistance calculations.
The 0.9 multiplier simply places the second boundary at 90% of the corresponding TEWMA value, creating a proportional visual area beneath the plotted line.
Plotting the Fast and Slow TEWMA
In addition to the averaged TEWMA, the script plots TEWMA1 and TEWMA2 individually.
TEWMA1 uses the shorter user-defined length and therefore represents the faster component.
TEWMA2 uses the multiplied length and therefore represents the slower component.
Viewing both lines allows the user to see the underlying relationship that produces the momentum classification.
Optional State-Change Labels
The script contains an optional Show Labels setting.
When enabled, labels are displayed when the signal changes from its previous state.
The available label descriptions are:
Rising + Widening
Rising + Compressing
Falling + Widening
Falling + Compressing
Flattening
The labels are only created when the current signal is different from the previous signal. This prevents a new label from being printed on every bar while the same state remains active.
The labels therefore focus attention on state transitions rather than continuously repeating the same information.
Buy and Sell Conditions:
This indicator does not contain conventional buy or sell conditions, strategy orders, entries, exits, or backtesting logic.
Instead, it identifies trend states .
The bullish states are:
* Bullish + Accelerating — TEWMA1 is above TEWMA2 and the TEWMA spread is increasing.
* Bullish + Decelerating — TEWMA1 is above TEWMA2 and the TEWMA spread is decreasing.
The bearish states are:
* Bearish + Accelerating — TEWMA1 is below TEWMA2 and the TEWMA spread is becoming more negative.
* Bearish + Decelerating — TEWMA1 is below TEWMA2 and the TEWMA spread is becoming less negative.
The neutral state occurs when the averaged TEWMA moves against the current directional relationship between TEWMA1 and TEWMA2.
This distinction is important because a decelerating trend is not automatically a reversal . For example, a bullish trend can begin compressing while remaining bullish. Likewise, a bearish trend can begin compressing while remaining bearish.
Users can therefore interpret the states according to their own trading methodology. For example, an external trading approach could use bullish acceleration as a trend-confirmation condition, while treating bullish deceleration as a warning that momentum is becoming less expansive. However, the indicator itself does not impose entries, exits, stop-losses, take-profits, or position sizing.
The same principle applies to bearish conditions.
The indicator is therefore best understood as a trend and momentum-state visualization tool , rather than a complete trading strategy.
Features and Parameters:
Source — Selects the price series used as the foundation of both TEWMA calculations. The default is Close.
Length — Defines the primary length used by the faster TEWMA. The default value is 50.
Multiplier — Determines the relationship between the faster and slower TEWMA lengths. The default is 2.50.
Second TEWMA Length — Calculated automatically as Length multiplied by Multiplier and rounded to the nearest integer.
Show Labels — Enables or disables the optional state-transition labels displayed on the chart.
Dual TEWMA Structure — Uses two differently scaled TEWMA calculations to compare shorter-term and longer-term trend behavior.
Momentum Spread — Measures the difference between the fast and slow TEWMA.
Acceleration / Deceleration Detection — Determines whether the TEWMA spread is expanding or contracting.
Five-State Classification — Separates the market into bullish acceleration, bullish deceleration, bearish acceleration, bearish deceleration, and neutral/flattening conditions.
Dynamic Color Coding — Changes the plotted line colors according to the current trend state.
Visual Cloud — Adds proportional filled regions around the plotted TEWMA lines to improve visual trend identification.
Specifications:
Price Source
The price source is the raw market data supplied to the indicator.
The default source is Close , meaning each calculation begins with the closing price of every bar.
The script allows TradingView's standard source selector to be used, so the calculation can be based on another available price series if desired.
The selected source is important because every subsequent calculation is derived from it.
Weighted Moving Average (WMA)
A Weighted Moving Average is a moving average that assigns different weights to observations within its calculation window.
More recent observations receive greater weight than older observations.
Compared with an SMA, this allows the WMA to react more strongly to recent price changes.
In this indicator, the WMA is not the final trend line. It is the first smoothing stage before the TEMA calculation.
This creates a two-stage smoothing structure in which the price data is first weighted toward recent observations and then processed through the TEMA.
Triple Exponential Moving Average (TEMA)
TEMA is a moving-average construction that uses three levels of exponential smoothing.
The purpose is to reduce lag compared with simply applying multiple layers of conventional exponential smoothing.
Its conceptual formula is:
TEMA = 3 x EMA1 - 3 x EMA2 + EMA3
where:
EMA1 = EMA(source)
EMA2 = EMA(EMA1)
EMA3 = EMA(EMA2)
The resulting TEMA attempts to retain smoothness while responding more quickly to changes than a heavily smoothed conventional moving average.
TEWMA
The TEWMA used by this indicator can be understood as a WMA-preprocessed TEMA .
Instead of applying TEMA directly to price, the script first calculates a WMA and then applies TEMA to that WMA.
This combines the weighting characteristics of WMA with the lag-reduction characteristics of TEMA.
The script creates two versions of this construction with different lengths.
Fast TEWMA — TEWMA1
TEWMA1 is calculated using the primary user-defined length.
With the default settings:
TEWMA1 = TEMA(WMA(Close, 50), 50)
Because the length is shorter, this component reacts more quickly to changes in the source than TEWMA2.
It therefore serves as the faster component of the trend comparison.
Slow TEWMA — TEWMA2
TEWMA2 uses the automatically calculated second length.
With the default settings:
50 x 2.50 = 125
Therefore:
TEWMA2 = TEMA(WMA(Close, 125), 125)
The larger length causes this component to respond more slowly to changes in the source.
It therefore represents the slower trend component.
Length Multiplier
The multiplier controls how far apart the two TEWMA horizons are.
The formula is:
Second Length = round(Length x Multiplier)
A larger multiplier creates a greater difference between the fast and slow calculations.
A smaller multiplier brings the two calculations closer together.
This parameter therefore directly influences how sensitive the spread is to changes in market direction.
TEWMA Average
The central TEWMA is calculated as:
TEWMA = (TEWMA1 + TEWMA2) / 2
This creates a central representation of the two trend horizons.
Rather than selecting either the fast or slow calculation as the primary line, the indicator combines both into one average.
This can provide a more balanced representation of the underlying trend structure.
TEWMA Spread / Momentum
The indicator defines momentum as:
Momentum = TEWMA1 - TEWMA2
This is effectively the spread between the fast and slow trend measurements.
When the value is positive, the fast TEWMA is above the slow TEWMA.
When the value is negative, the fast TEWMA is below the slow TEWMA.
The absolute size of the spread also provides information about how far apart the two trend estimates have moved.
Most importantly, the script compares the current spread with the previous spread to determine whether that separation is expanding or contracting.
Widening Momentum
When the TEWMA spread increases in the direction of the prevailing trend, the two TEWMAs are moving farther apart.
During a bullish state, this means TEWMA1 is moving further above TEWMA2.
During a bearish state, this means TEWMA1 is moving further below TEWMA2.
The indicator refers to these conditions as acceleration because the directional separation between the two trend measurements is increasing.
Compressing Momentum
Compression occurs when the spread between the two TEWMAs becomes smaller.
During a bullish state, TEWMA1 can remain above TEWMA2 while moving closer to it.
During a bearish state, TEWMA1 can remain below TEWMA2 while moving closer to it.
This is why deceleration does not necessarily mean that the trend has already reversed.
It means that the separation supporting the current directional structure is becoming less pronounced.
Bullish Acceleration
Bullish acceleration requires:
TEWMA1 > TEWMA2
and:
TEWMA1 - TEWMA2 > previous(TEWMA1 - TEWMA2)
This combines directional positioning with expanding momentum.
The first condition identifies the direction.
The second condition identifies whether that directional separation is strengthening.
Bullish Deceleration
Bullish deceleration requires:
TEWMA1 > TEWMA2
and:
TEWMA1 - TEWMA2 < previous(TEWMA1 - TEWMA2)
The fast TEWMA is still above the slow TEWMA, but the spread is shrinking.
This identifies a bullish structure that is losing expansion.
Bearish Acceleration
Bearish acceleration requires:
TEWMA1 < TEWMA2
and:
TEWMA1 - TEWMA2 < previous(TEWMA1 - TEWMA2)
The spread is becoming increasingly negative.
This means the fast TEWMA is moving farther below the slow TEWMA, strengthening the bearish separation.
Bearish Deceleration
Bearish deceleration requires:
TEWMA1 < TEWMA2
and:
TEWMA1 - TEWMA2 > previous(TEWMA1 - TEWMA2)
The spread remains negative but is becoming less negative.
This means the bearish separation is contracting.
Neutral / Flattening
The neutral condition is designed to detect situations where the average TEWMA is moving against the existing fast/slow directional relationship.
For a bullish relationship, neutral occurs when:
TEWMA1 > TEWMA2
but:
TEWMA < TEWMA
For a bearish relationship, neutral occurs when:
TEWMA1 < TEWMA2
but:
TEWMA > TEWMA
This is useful because a market can remain structurally bullish or bearish according to the relationship between the two TEWMAs while the combined trend measure begins moving in the opposite direction.
The neutral state therefore represents a loss of alignment between directional structure and movement of the combined trend .
Signal States
The script converts the detected conditions into numerical states:
2 = Bullish Acceleration
1 = Bullish Deceleration
0 = Neutral / Flattening
-1 = Bearish Deceleration
-2 = Bearish Acceleration
These numerical values are used internally to determine the visual state of the indicator.
Persistent Signal Variable
The signal is stored in a persistent variable.
This means the current state can remain active across multiple bars until another condition changes it.
The script therefore does not require every bar to generate a completely new classification.
This is particularly useful for the visual presentation because a trend state can remain visible until a meaningful change in the underlying conditions occurs.
Color Coding
The indicator uses different colors for the five states.
The colors are not additional calculations and do not affect the mathematical output.
They are a visual encoding system designed to allow the user to recognize both directional bias and momentum behavior without having to inspect the numerical relationships manually.
Primary TEWMA Line
The averaged TEWMA is displayed as the main, thicker line.
Because it combines the fast and slow TEWMA, it acts as the central visual representation of the indicator's trend structure.
Fast and Slow TEWMA Lines
TEWMA1 and TEWMA2 are also plotted individually.
The difference between these two lines is fundamental to the indicator's state classification.
When they separate, the spread changes.
When they move closer together, the spread contracts.
Their relative position determines whether the market is classified as bullish or bearish, while the change in their separation determines whether that trend is accelerating or decelerating.
Cloud / Fill Calculation
The script creates hidden secondary plots using:
TEWMA x 0.9
TEWMA1 x 0.9
TEWMA2 x 0.9
The area between each original line and its corresponding 90% reference is then filled.
This creates the cloud-like visual appearance.
These fills should not be interpreted as statistical probability bands or volatility envelopes.
They are proportional visual regions derived directly from the corresponding TEWMA value.
Optional Labels
The label system is disabled by default.
When enabled, the script checks whether the current signal state differs from the previous signal state.
A label is then created only at the transition into the new state.
This makes the labels useful for visually identifying when the market changes from one momentum regime to another without placing repetitive labels on every bar.
No ATR or Standard Deviation Component
This indicator does not use ATR, standard deviation, Bollinger Bands, RSI, MACD, volume, or other conventional volatility/momentum indicators.
Its momentum classification comes specifically from the difference between two differently smoothed TEWMA calculations and the change in that difference over time .
This is an important part of the design because the indicator is intentionally focused on the relationship between two trend estimates rather than combining unrelated technical indicators.
Why Combine WMA and TEMA?
WMA and TEMA perform different roles within the calculation.
WMA gives greater emphasis to recent observations.
TEMA then applies a triple-exponential smoothing structure designed to reduce lag compared with repeated conventional smoothing.
Combining them creates a trend filter that attempts to balance smoothness and responsiveness .
The objective is not simply to make the moving average smoother. Excessive smoothing can make a trend indicator slow to react.
Instead, the construction uses multiple forms of smoothing while maintaining a relatively responsive relationship with recent price behavior.
Why Use Two TEWMAs Instead of One?
A single moving average can provide information about direction, but it does not directly provide the same contextual information about how the market behaves across different trend horizons.
Using two TEWMAs creates a relative comparison.
The shorter TEWMA reacts faster.
The longer TEWMA reacts more slowly.
When the faster calculation moves above the slower calculation, the short-term trend representation has moved ahead of the longer-term representation.
When it moves below it, the opposite relationship exists.
This relative structure is the foundation of the indicator's directional classification.
Why Measure the Spread Between Them?
Simply knowing that one moving average is above another can be insufficient.
A bullish relationship can exist while the two averages are rapidly separating, or while they are slowly moving back toward each other.
Those are materially different conditions.
The spread calculation captures this distinction.
An expanding spread indicates increasing separation between the two trend horizons.
A contracting spread indicates decreasing separation.
The indicator therefore adds a second layer of information to the basic fast-versus-slow relationship.
Why Separate Acceleration From Deceleration?
A trend does not necessarily change direction immediately when its momentum begins to weaken.
For example, TEWMA1 can remain above TEWMA2 while the spread starts contracting.
The market can therefore remain structurally bullish while the bullish separation is losing strength.
Likewise, a bearish trend can remain structurally bearish while the bearish separation begins to contract.
Separating acceleration and deceleration allows the indicator to communicate this transition instead of treating every bullish or bearish condition equally.
Why Include a Neutral / Flattening State?
The neutral state provides another layer of information beyond the fast/slow relationship.
If TEWMA1 remains above TEWMA2 but the averaged TEWMA begins declining, the underlying directional relationship and the movement of the combined trend measure are no longer aligned.
The same principle applies in reverse during bearish conditions.
This gives the indicator a mechanism for visually highlighting situations in which the prevailing trend structure may be losing alignment.
How the Components Work Together
The indicator can therefore be viewed as a sequence of three major analytical layers:
Layer 1 — Trend Smoothing
The source is processed through WMA and TEMA to create two TEWMA trend estimates.
Layer 2 — Multi-Horizon Comparison
The faster TEWMA is compared with the slower TEWMA to establish the directional relationship.
Layer 3 — Momentum Expansion / Contraction
The difference between the two TEWMAs is monitored over time to determine whether the directional separation is widening or compressing.
The additional neutral logic then evaluates whether the average TEWMA is moving against the established fast/slow relationship.
This creates a compact framework that attempts to answer two related questions:
What is the current directional relationship?
and
Is that relationship becoming more expansive or less expansive?
How to Interpret the Indicator
Bullish + Accelerating
The faster TEWMA is above the slower TEWMA and the spread is expanding.
This is the strongest bullish state within the indicator's classification system because both directional positioning and spread expansion point in the same direction.
Bullish + Decelerating
The faster TEWMA remains above the slower TEWMA, but the spread is contracting.
The bullish structure remains present, but the separation between the two trend horizons is decreasing.
Bearish + Accelerating
The faster TEWMA is below the slower TEWMA and the spread is expanding negatively.
Both directional positioning and spread behavior are aligned with the bearish side.
Bearish + Decelerating
The faster TEWMA remains below the slower TEWMA, but the bearish spread is contracting.
The bearish structure remains present, but the separation is becoming less pronounced.
Neutral / Flattening
The fast/slow relationship remains directional, but the averaged TEWMA is moving against that relationship.
This represents a loss of alignment and can be interpreted as a transition or weakening state rather than an automatic reversal.
Limitations and Important Considerations:
This indicator is a technical-analysis tool and does not predict future price movements.
It does not contain a strategy engine, position sizing, stop-loss calculation, take-profit calculation, risk management system, or backtesting logic.
The bullish and bearish states should therefore not automatically be interpreted as guaranteed entry or exit signals.
Moving averages are inherently derived from historical price data. Even though the WMA/TEMA construction is designed to remain responsive, the indicator can still react after a price movement has already begun.
The Length and Multiplier settings materially affect the behavior of the indicator. Shorter lengths generally make the calculations more responsive, while longer lengths generally make them slower and smoother.
The indicator does not use a volatility normalization mechanism. The TEWMA spread is measured directly in the price units of the underlying instrument.
The cloud fills are visual representations and should not be interpreted as probability bands, volatility bands, or statistically calculated support/resistance areas.
The neutral state does not guarantee that a reversal will occur. It identifies a specific loss of alignment between the directional TEWMA relationship and the movement of the averaged TEWMA.
Likewise, deceleration does not automatically mean that a trend is ending. It only indicates that the spread between the two TEWMAs is contracting according to the script's calculation.
Users should therefore interpret the indicator within the context of their broader market analysis and risk-management process.
Originality and Design Purpose
The distinctive element of this indicator is not simply the use of moving averages.
The script combines a WMA-preprocessed TEMA structure with two different time horizons and then uses the spread between those two TEWMAs as a momentum-state measurement .
Instead of producing only a binary bullish/bearish classification, the indicator separates directional conditions into acceleration and deceleration states.
This provides a more detailed visualization of the relationship between short-term and longer-term trend behavior.
The purpose of the design is therefore to make the changing relationship between two trend horizons easier to interpret visually, while keeping the underlying calculations focused specifically on TEWMA structure and its momentum spread.
Summary
TEWMA Momentum Cloud combines two differently scaled TEWMAs to create a multi-horizon view of trend direction.
The source is first processed through a Weighted Moving Average and then through a Triple Exponential Moving Average.
The resulting fast and slow TEWMAs are averaged to create the central TEWMA.
The difference between the fast and slow TEWMAs is then calculated as the momentum spread.
The sign of that spread determines the bullish or bearish relationship, while the change in the spread determines whether that relationship is accelerating or decelerating.
An additional neutral condition identifies situations where the averaged TEWMA moves against the prevailing fast/slow relationship.
The result is a five-state trend classification:
Bullish + Accelerating
Bullish + Decelerating
Neutral / Flattening
Bearish + Decelerating
Bearish + Accelerating
The visual cloud, line colors, and optional transition labels are then used to make these states easier to identify directly on the chart.
TEWMA Momentum Cloud is therefore designed as a trend-structure and momentum-state visualization tool , helping users distinguish not only between bullish and bearish conditions, but also between trends that are expanding and trends that are beginning to compress.
Enjoy! อินดิเคเตอร์
