Ultimate Fast Act Dashboard TThis strategy gives perfect entry and exit. This is base on Multi time frame with VPA and EMA.
Indicator
Multi-time
TimeSMAThis is a GREAT SCRIPT. You can now easily view a daily moving average on ANY timeframe, - daily, 2h, 30m, 45sec, etc.
The Problem with a Standard SMA
A 20 SMA on a daily chart averages the last 20 trading days. Switch to a 30m chart and that same "20 SMA" now covers only 10 hours. It's no longer a 20-day SMA — it's just 20 candles of whatever timeframe you're on.
The Fix
Enable Time-Based mode and set Length to 20. Now it's a true 20-day SMA on every timeframe — daily, 2h, 30m, or 5m. The script automatically calculates how many bars are needed to represent exactly 20 trading days.
Features
Time-Based mode toggle — works as a standard SMA when disabled
Vertical line marking the oldest bar included in the calculation
Bull/bear background shading
Edge case warnings for monthly timeframes
Indicator
MACD Divergence Suite [invincible3]MACD Divergence Suite
Overview
MACD Divergence Suite is an advanced MACD-based momentum and trend indicator designed to provide a clearer view of market direction, momentum strength, divergence, and multi-timeframe confirmation.
This indicator expands the traditional MACD by adding configurable moving average types, normalized MACD values, gradient cloud visualization, SMA-based candle coloring, divergence labels, signal arrows, and a compact multi-timeframe dashboard.
Configurable MACD Calculation
The indicator allows full customization of the MACD calculation. Users can choose the price source and select different moving average types for the fast line, slow line, and signal line.
Supported moving average types include:
• EMA
• SMA
• DEMA
• TEMA
• WMA
• VWMA
• HMA
• RMA
This makes the indicator flexible for different trading styles, assets, and timeframes.
Normalized MACD
The MACD values are normalized to a fixed scale, making momentum easier to compare across different markets and timeframes. This helps reduce the visual inconsistency that can happen when using raw MACD values on assets with very different price ranges.
Gradient MACD Cloud
A layered gradient cloud is plotted between the MACD line and the signal line. The cloud changes color based on bullish or bearish momentum and becomes visually stronger when the MACD spread increases.
This helps traders quickly identify momentum expansion, compression, and possible trend shifts.
Trend-Colored MACD Line
The main MACD line uses trend-sensitive coloring based on the selected bullish and bearish colors. Strong bullish movement appears with stronger bullish color, while strong bearish movement appears with stronger bearish color.
The signal line remains gray to keep the chart clean and easy to read.
Oscillator Bars
The oscillator bars show normalized MACD histogram strength. Bar colors use a gradient effect based on momentum strength, helping traders visually detect increasing or weakening momentum.
SMA Candle Coloring
The indicator includes SMA-based candle coloring on the main chart. Candles are colored bullish when price is above the selected SMA and bearish when price is below the selected SMA.
This provides quick trend confirmation directly on the price chart.
Divergence Detection
The indicator detects bullish and bearish divergence using the normalized MACD oscillator. Divergence lines and labels can appear on both the MACD pane and the price chart.
Bullish divergence highlights possible upside reversal areas, while bearish divergence highlights possible downside reversal areas.
Signal Arrows
MACD crossover signals are shown with arrows. The signals can be filtered using normalized MACD levels, helping reduce weak signals in neutral zones.
Arrow distance can also be adjusted so chart signals appear cleaner and do not overlap candles.
Multi-Timeframe Dashboard
A compact multi-timeframe dashboard summarizes market conditions across multiple timeframes.
The dashboard includes:
• Normalized MACD value
• MACD signal direction
• Histogram state
• Recent divergence status
• SMA-based trend condition
The trend row shows whether price is above or below the selected SMA, giving a simple Bull/Bear trend filter across timeframes.
Key Features
• Configurable MACD moving average types
• Adjustable fast, slow, and signal lengths
• Selectable price source
• Normalized MACD scale
• Gradient MACD cloud
• Trend-colored MACD line
• Gray signal line for cleaner visibility
• Strength-based oscillator bars
• SMA-based candle coloring
• Bullish and bearish divergence detection
• Divergence labels on MACD pane and price chart
• Multi-timeframe dashboard
• Optional normalized MACD signal filtering
• Adjustable signal arrow distance
• Custom bullish and bearish color presets
How to Use
Use the MACD line, signal line, and cloud to read momentum direction. A bullish cloud suggests positive momentum, while a bearish cloud suggests negative momentum.
Use the oscillator bars to confirm whether momentum is increasing or weakening.
Use divergence labels to identify potential reversal areas.
Use the SMA candle coloring and dashboard trend row as a trend filter. Bullish signals are generally stronger when price is above the SMA, while bearish signals are generally stronger when price is below the SMA.
Best Used For
This indicator is useful for:
• Trend-following analysis
• Momentum confirmation
• Multi-timeframe market structure
• Divergence-based reversal spotting
• Signal filtering
• Visual MACD analysis
Disclaimer
This indicator is intended for technical analysis and educational use only. It should not be used as financial advice. Always combine signals with proper risk management and additional market analysis.
Indicator
Ribbon Conviction SystemRibbon Conviction System — Trend, Flow, Value and Adaptive Stop
Overview
This is a single decision-support system for intraday traders. It answers three questions on one chart: which way is the trend, how much conviction is behind the current move, and where a logical trailing stop sits. A moving-average ribbon defines direction, a conviction score from 0 to 100% grades every signal, and an adaptive volatility stop marks risk. The components are designed to work together as one filtered signal, not as a loose collection of separate indicators.
Why these components are combined
A moving-average crossover on its own fires constantly in sideways markets and gives no sense of whether a cross is meaningful. Each part added here exists to fix a specific weakness of the part before it, so the result is one filtered signal rather than several indicators stacked on a chart.
Ribbon (direction). Five Fibonacci-length averages — 8, 13, 21, 34, 55 — using a mix of Hull, EMA and Kaufman Adaptive Moving Average (KAMA). The KAMA anchors deliberately flatten in choppy conditions, so the ribbon stops giving direction when there is no trend. Weakness it leaves open: a crossover can still fire on a weak, low-conviction move.
Conviction score (filter). Instead of taking every crossover, each signal is graded 0–100% by blending four independent readings of the same bar, chosen because they measure different things rather than repeat each other:
Buy/sell flow — net buying versus selling pressure, inferred from lower-timeframe price-and-volume behaviour.
Effort vs move — how far price travelled for the volume spent; absorption and churn are penalised.
Trend quality — Kaufman Efficiency Ratio: directional travel divided by total path, separating trend from noise.
Price location — is price on the right side of value? Blends session VWAP slope, a swing-anchored VWAP, the session volume-profile value area (VAH/VAL/POC), and the prior session's VWAP and unfilled POC.
A flow-toxicity proxy (VPIN-style) then lowers the score when flow looks one-sided and unstable. Weakness it leaves open: all four readings come from the chart timeframe, so they can agree for the wrong reason.
Higher-timeframe agreement (independent confirmation). The same volatility-stop direction is computed on 3×, 5× and 15× the chart timeframe and folded in as a multiplier, not a fifth blended input. It is kept separate precisely because it is the one genuinely independent check on the chart-timeframe score: full agreement raises conviction, disagreement lowers it.
Adaptive volatility stop (risk). A Chande-style volatility stop whose ATR period and multiplier adapt through the Efficiency Ratio, so the stop tightens in clean trends and widens in chop. This turns the tool from "where is the signal" into "where is my risk if I take it."
How they work together
Direction (ribbon) decides the side. The conviction score decides whether a crossover on that side is worth showing and how strongly. Higher-timeframe agreement scales that conviction up or down. The adaptive stop shows the exit reference. Every signal is the product of all four stages working in sequence.
What it plots
The five-average ribbon with shaded bands; the 55 line is the bold trend-reference band.
Signal badges at qualifying crossovers, labelled with the band crossed and the conviction percent (for example "21 65%").
Optional value references: session VWAP, swing-anchored VWAP with bands, volume-profile VAH/VAL/POC, and the prior session's VWAP and POC.
The adaptive volatility stop as a step line with a live distance label.
A compact dashboard summarising trend, conviction and each component, higher-timeframe agreement, the stop, and the data mode.
A small higher-timeframe agreement ribbon.
How to use
Add it to an intraday chart. The defaults suit index futures, but direction works on any symbol.
Spot vs futures: many spot indices publish no real volume, which the flow, value-area and toxicity parts depend on. Under "Data source" the script auto-detects this and switches the volume-based parts to a time-at-price method so everything still works; you can also set the mode manually. The dashboard "Data" row shows which mode is active.
Trade in the ribbon's direction. Prefer signals with a higher conviction percent and higher-timeframe agreement, and treat low-conviction crosses as noise. Use "Hide signals weaker than" to suppress them.
Use the adaptive stop as a trailing-risk reference, sized to your own plan.
The "Look & size" group controls signal size, dashboard size and position, a "Minimal" preset (ribbon + signals + stop only), and band lightness.
Originality
The individual techniques — adaptive moving averages, the Efficiency Ratio, effort-versus-result, VWAP, volume profile and volatility stops — are publicly documented. What is original here is the integration: a single conviction score that fuses chart-timeframe flow, effort, efficiency and value, damps it by flow toxicity, and scales it by independent higher-timeframe agreement, then gates an adaptive-stop-aware signal on that score. The components were selected so each covers a distinct weakness, and redundant filters were deliberately left out to keep one clear signal.
Credits
Perry Kaufman — Adaptive Moving Average and Efficiency Ratio. Tushar Chande — Volatility Stop concept. The effort-versus-result component is an original, compact reimplementation inspired by the publicly described effort-versus-result method from the volume-spread-analysis lineage.
Disclaimer
This script is for education and information only. It is not financial, investment or trading advice and does not guarantee any outcome. Signals describe current conditions; they do not predict the future. Markets carry substantial risk of loss. Volume-based readings depend on the data feed and are unreliable on instruments without real volume. Always test on your own market and timeframe, and manage risk with your own stops and position sizing. The author is not a licensed financial advisor; consult a qualified professional before making financial decisions. You are solely responsible for your own trading decisions.
Indicator
Velez Price Action Signals (with 20 & 200 SMA)Velez Price Action Signals – With 20 & 200 SMA Overlay
This PulseWire Pine Script is a clean and powerful reversal signal tool inspired by Oliver Velez’s price action philosophy, enhanced with trend context via two Simple Moving Averages.
🔍 Signal Logic
Buy Signal:
Current candle sweeps below the previous 5-bar low (liquidity grab).
Candle is bullish (close > open).
The lower wick is significantly larger than the body (e.g. ratio > 1.5).
Sell Signal:
Current candle sweeps above the previous 5-bar high.
Candle is bearish (close < open).
The upper wick is significantly larger than the body.
Signals appear as BUY/SELL labels on the chart (non-repainting).
Indicator
Heikin Multi Time Frame// How it Works \\
This script calculates the open and close prices of Heikin Ashi candles across multiple timeframes,
If the candle formed on that timeframe is green it will display in the table a green square, If the candle is red, the square will display red.
// Settings \\
You can change the colours of the plots
You can also Change any of the timeframes which the Heikin Ashi candles are being calculated on
// Use Case \\
Heikin Ashi candles are often used to give a smoother trend direction and help cancel out some of the noice/consolidation.
It can also be use as trend detection for multiple timeframes at once
/ / Suggestions \\
Happy for anyone to make any suggestions on changes which could improve the script,
// Terms \\
Feel free to use the script, If you do use the scrip please just tag me as I am interested to see how people are using it. Good Luck!
Indicator
h4hdwm (updated)I put most importand moving avarages for most importand time frames together. When you whatching a graph you are sometimes missing another time frime very importand moving avarage and there is a reaction on price. with this multi time frame multi ma indicator you can see all of them at once. it makes a little mass if you let all of them together. so you might close some of them.
Bigger time frames Moving Avarages has ticker lines and bigger steps.
Indicator
Eugene's RSI MTFFeel free to use this Multi Time Frame RSI indicator.
You can select up to 4 time frames.
You can plot either each of them or the average of all 4 or the faster 3.
Enjoy. Please leave a like if it is useful to you.
Indicator
True Strength Indicator MTFHere is an example of a script showing a multi-time frame of TSI.
Chart below compares FX EURUSD Daily TSI to 1H TSI
Here is an updated version
study("True Strength Indicator MTF", shorttitle="TSI MTF")
resCustom = input(title="Timeframe", type=resolution, defval="60" )
long = input(title="Long Length", type=integer, defval=25)
short = input(title="Short Length", type=integer, defval=13)
signal = input(title="Signal Length", type=integer, defval=13)
price = close
double_smooth(src, long, short) =>
fist_smooth = ema(src, long)
ema(fist_smooth, short)
pc = change(price)
double_smoothed_pc = double_smooth(pc, long, short)
double_smoothed_abs_pc = double_smooth(abs(pc), long, short)
tsi_value = 100 * (double_smoothed_pc / double_smoothed_abs_pc)
tsi = security(tickerid, resCustom,tsi_value)
plot(tsi, color=black)
plot(ema(tsi, signal), color=red)
hline(0, title="Zero")
Indicator
Fisher Transform MTFThis is a simple code that allows a user to use Fisher Transform Indicator for multiple time frames.
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