Commodity Channel Index DualThe CCI Dual is a custom TradingView indicator built in Pine Script v5, designed to help traders identify potential buy and sell signals using two Commodity Channel Index (CCI) oscillators. It combines a shorter-period CCI (default: 14) for quick momentum detection with a longer-period CCI (default: 50) for confirmation, focusing on mean-reversion opportunities in overbought or oversold conditions.
This setup is particularly suited for volatile markets like cryptocurrencies on higher timeframes (e.g., 3-day charts), where it highlights reversals by requiring both CCIs to cross out of extreme zones within a short window (default: 3 bars).
The indicator plots the CCIs, customizable bands (inner: 100, OB/OS: 175, outer: 200), dynamic fills for visual emphasis, background highlights for signals, and alert conditions for notifications.
How It Works
The indicator calculates two CCIs based on user-defined lengths and source (default: close price):
CCI Calculation: CCI measures price deviation from its average, using the formula: CCI = (Typical Price - Simple Moving Average) / (0.015 * Mean Deviation). The short CCI reacts faster to price changes, while the long CCI provides smoother, trend-aware confirmation.
Overbought/Oversold Levels: Customizable thresholds define extremes (Overbought at +175, Oversold at -175 by default). Bands are plotted at inner (±100), mid (±175 dashed), and outer (±200) levels, with gray fills for the outer zones.
Dynamic Fills: The longer CCI is used to shade areas beyond OB/OS levels in red (overbought) or green (oversold) for quick visual cues.
Signals:
Buy Signal: Triggers when both CCIs cross above the Oversold level (-175) within the signal window (3 bars). This suggests a potential upward reversal from an oversold state.
Sell Signal: Triggers when both cross below the Overbought level (+175) within the window, indicating a possible downward reversal.
Visuals and Alerts: Buy signals highlight the background green, sells red. Separate alertconditions allow setting TradingView alerts for buys or sells independently.
Customization: Adjust lengths, levels, and window via inputs to fit your timeframe or asset—e.g., higher OB/OS for crypto volatility.
This logic reduces noise by requiring dual confirmation, but like all oscillators, it can produce false signals in strong trends where prices stay extended.
To mitigate false signals (e.g., in trending markets), layer the CCI Dual with MACD (default: 12,26,9) and RSI (default: 14) for multi-indicator confirmation:
With MACD: Only take CCI buys if the MACD line is above the signal line (or histogram positive), confirming bullish momentum. For sells, require MACD bearish crossover. This filters counter-trend signals by aligning with trend strength—e.g., ignore CCI sells if MACD shows upward momentum.
With RSI: Confirm CCI oversold buys only if RSI is below 30 and rising (or shows bullish divergence). For overbought sells, RSI above 70 and falling. This adds overextension validation, reducing whipsaws in crypto trends.
I made this customizable for you to find what works best for your asset you are trading. I trade the 6 hour and 3 day timeframe mainly on major cryptocurrency pairs. I hope you enjoy this script and it serves you well.
M-oscillator
Chanpreet Buy & SellBest Buy when Momentum DIPS / Slows in a UPTREND and Best Sell when momentum DIPS / Slows in a DOWNTREND !
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000)
Overview
Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index.
This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements.
Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days.
Core Features
✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection
✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days
✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level
✅ Zero Statistical Lag - No rolling averages or standard deviation calculations
✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles
Trading Zone Optimization
📊 Lookback Period Strategies
Short-term (1-3 days):
Ultra-responsive to recent price action
Perfect for scalping and day trading
Tight range produces more sensitive signals
Medium-term (7-14 days):
Balanced view of recent trading range
Ideal for swing trading
Captures meaningful support/resistance levels
Long-term (21-30 days):
Broader market context
Excellent for position trading
Smooths out short-term market noise
⚡ Market Condition Adaptation
Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges
Trending Markets: Use longer lookback (14-21 days) for broader context
Ranging Markets: Use medium lookback (7-10 days) for clear boundaries
🎯 Timeframe Optimization
1-minute charts: 1-2 day lookback
5-minute charts: 2-5 day lookback
Hourly charts: 7-14 day lookback
Daily charts: 21-50 day lookback
Trading Applications
Scalping Setup (2-day lookback):
Super tight range for quick reversals
ZTI 800+ = immediate short opportunity
ZTI 200- = immediate long opportunity
Swing Trading Setup (10-day lookback):
Meaningful swing levels captured
ZTI extremes = high-probability reversal zones
More stable signals, reduced whipsaws
Advanced Usage
🔧 Real-Time Adaptability
Trending days: Increase to 14+ days for broader perspective
Range-bound days: Decrease to 3 days for tighter signals
High volatility: Shorter lookback for responsiveness
Low volatility: Longer lookback to avoid false signals
💡 Multi-Timeframe Approach
Entry signals: Use 7-day ZTI on main timeframe
Trend confirmation: Use 21-day ZTI on higher timeframe
Exit timing: Use 3-day ZTI for precise exits
🌐 Session Optimization
Asian session: Shorter lookback (3-5 days) for range-bound conditions
London/NY session: Longer lookback (7-14 days) for trending conditions
How It Works
The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages:
Price at recent high = ZTI at 1000
Price at recent low = ZTI at 1
Price at mid-range = ZTI at 500
This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators.
This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level.
Credits
ZLEMA techniques widely attributed to John Ehlers.
Disclaimer
This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk.
Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
B@dshah Indicator🚀 Advanced Multi-Indicator Trading System
A comprehensive trading indicator that combines multiple technical analysis tools for high-probability signal generation:
📊 CORE FEATURES:
- EMA Trend Analysis (Fast/Slow crossovers)
- RSI Momentum Detection
- MACD Signal Confirmation
- Bollinger Bands (Squeeze & Mean Reversion)
- Fibonacci Retracement Levels
- Volume & ATR Filtering
- Multi-Confluence Scoring System (0-10 scale)
🎯 SIGNAL QUALITY:
- Non-repainting signals (confirmed at bar close)
- Minimum 60% strength threshold for trades
- Dynamic TP/SL based on market structure
- Real-time win rate tracking
- Signal strength percentage display
⚙️ UNIQUE FEATURES:
- BB Squeeze detection for volatility breakouts
- Fibonacci level confluence analysis
- Smart position sizing recommendations
- Visual TP/SL lines with outcome tracking
- Comprehensive statistics table
🔔 ALERTS INCLUDED:
- Buy/Sell signals with strength ratings
- TP/SL hit notifications
- BB squeeze/expansion alerts
- Fibonacci level touches
Best used on 1H+ timeframes for optimal results.
Perfect for swing trading and position entries.
Quad Stochastic OscillatorThis is my take on the "Quad Rotation Strategy". It's a simple but powerful indicator once you know what to look for. I combined the four different periods into one script, which makes seeing the rotation, and other cues, easier. I suggest changing the %K line to dotted or off, so it doesn't clutter the view.
Capiba RSI + Ichimoku + VolatilidadeThe "Capiba RSI + Ichimoku + Volatility" indicator is a powerful, all-in-one technical analysis tool designed to provide traders with a comprehensive view of market dynamics directly on their price chart. This multi-layered indicator combines a custom Relative Strength Index (RSI), the trend-following Custom Ichimoku Cloud, and dynamic volatility lines to help identify high-probability trading setups.
How It Works
This indicator functions by overlaying three distinct, yet complementary, analysis systems onto a single chart, offering a clear and actionable perspective on a wide range of market conditions, from strong trends to periods of consolidation.
1. Custom RSI & Momentum Signals
The core of this indicator is a refined version of the Relative Strength Index (RSI). It calculates a custom Ultimate RSI that is more sensitive to price movements, offering a quicker response to potential shifts in momentum. The indicator also plots a moving average of this RSI, allowing for the generation of clear trading signals. Use RMAs.
Bar Coloring: The color of the price bars on your chart dynamically changes to reflect the underlying RSI momentum.
Blue bars indicate overbought conditions, suggesting trend and a potential short-term reversal.
Yellow bars indicate oversold conditions, hinting at a potential bounce.
Green bars signal bullish momentum, where the Custom RSI is above both 50 and its own moving average.
Red bars indicate bearish momentum, as the Custom RSI is below both 50 and its moving average.
Trading Signals: The indicator plots visual signals directly on the chart in the form of triangles to highlight key entry and exit points. A green triangle appears when the Custom RSI crosses above its moving average (a buy signal), while a red triangle marks a bearish crossunder (a sell signal).
2. Custom Ichimoku Cloud for Trend Confirmation
This component plots a standard Ichimoku Cloud directly on the chart, providing a forward-looking view of trend direction, momentum, and dynamic support and resistance levels.
The cloud’s color serves as a strong visual cue for the prevailing trend: a green cloud indicates a bullish trend, while a red cloud signals a bearish trend.
The cloud itself acts as a dynamic support or resistance zone. For example, in an uptrend, prices are expected to hold above the cloud, which provides a strong support level for the market.
3. Dynamic Volatility Lines
This final layer is a dynamic volatility channel that automatically plots the highest high and lowest low from a user-defined period. These lines create a visual representation of the recent price range, helping traders understand the current market volatility.
Volatility Ratio: A label is displayed on the chart showing a volatility ratio, which compares the current price range to a historical average. A high ratio indicates increasing volatility, while a low ratio suggests a period of price consolidation or lateral movement, a valuable insight for day traders.
The indicator is highly customizable, allowing you to adjust parameters like RSI length, overbought/oversold levels, Ichimoku periods, and volatility lookback periods to suit your personal trading strategy. It is an ideal tool for traders who rely on a combination of momentum, trend, and volatility to make well-informed decisions.
Fisher (zero-color + simple OB assist)//@version=5
indicator("Fisher (zero-color + simple OB assist)", overlay=false)
// Inputs
length = input.int(10, "Fisher Period", minval=1)
pivotLen = input.int(3, "Structure pivot length (SMC-lite)", minval=1)
showZero = input.bool(true, "Show Zero Line")
colPos = input.color(color.lime, "Color Above 0 (fallback)")
colNeg = input.color(color.red, "Color Below 0 (fallback)")
useOB = input.bool(true, "Color by OB proximity (Demand below = green, Supply above = red)")
showOBMarks = input.bool(true, "Show OB markers")
// Fisher (MT4-style port)
price = (high + low) / 2.0
hh = ta.highest(high, length)
ll = ta.lowest(low, length)
rng = hh - ll
norm = rng != 0 ? (price - ll) / rng : 0.5
var float v = 0.0
var float fish = 0.0
v := 0.33 * 2.0 * (norm - 0.5) + 0.67 * nz(v , 0)
v := math.min(math.max(v, -0.999), 0.999)
fish := 0.5 * math.log((1 + v) / (1 - v)) + 0.5 * nz(fish , 0)
// SMC-lite OB
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float lastSwingHigh = na
var float lastSwingLow = na
if not na(ph)
lastSwingHigh := ph
if not na(pl)
lastSwingLow := pl
bosUp = not na(lastSwingHigh) and close > lastSwingHigh
bosDn = not na(lastSwingLow) and close < lastSwingLow
bearishBar = close < open
bullishBar = close > open
demHigh_new = ta.valuewhen(bearishBar, high, 0)
demLow_new = ta.valuewhen(bearishBar, low, 0)
supHigh_new = ta.valuewhen(bullishBar, high, 0)
supLow_new = ta.valuewhen(bullishBar, low, 0)
// แยกประกาศตัวแปรทีละตัว และใช้ชนิดให้ชัดเจน
var float demHigh = na
var float demLow = na
var float supHigh = na
var float supLow = na
var bool demActive = false
var bool supActive = false
if bosUp and not na(demHigh_new) and not na(demLow_new)
demHigh := demHigh_new
demLow := demLow_new
demActive := true
if bosDn and not na(supHigh_new) and not na(supLow_new)
supHigh := supHigh_new
supLow := supLow_new
supActive := true
// Mitigation (แตะโซน)
if demActive and not na(demHigh) and not na(demLow)
if low <= demHigh
demActive := false
if supActive and not na(supHigh) and not na(supLow)
if high >= supLow
supActive := false
demandBelow = useOB and demActive and not na(demHigh) and demHigh <= close
supplyAbove = useOB and supActive and not na(supLow) and supLow >= close
colDimUp = color.new(colPos, 40)
colDimDown = color.new(colNeg, 40)
barColor = demandBelow ? colPos : supplyAbove ? colNeg : fish > 0 ? colDimUp : colDimDown
// Plots
plot(0, title="Zero", color=showZero ? color.new(color.gray, 70) : color.new(color.gray, 100))
plot(fish, title="Fisher", style=plot.style_columns, color=barColor, linewidth=2)
plotchar(showOBMarks and demandBelow ? fish : na, title="Demand below", char="D", location=location.absolute, color=color.teal, size=size.tiny)
plotchar(showOBMarks and supplyAbove ? fish : na, title="Supply above", char="S", location=location.absolute, color=color.fuchsia, size=size.tiny)
alertcondition(ta.crossover(fish, 0.0), "Fisher Cross Up", "Fisher crosses above 0")
alertcondition(ta.crossunder(fish, 0.0), "Fisher Cross Down", "Fisher crosses below 0")
Full Stochastic (TC2000-style EMA 5,3,3)Full Stochastic (TC2000-style EMA 5,3,3) computes a Full Stochastic oscillator matching TC2000’s settings with Average Type = Exponential.
Raw %K is calculated over K=5, then smoothed by an EMA with Slowing=3 to form the Full %K, and %D is an EMA of Full %K with D=3.
Plots:
%K in black, %D in red, with 80/20 overbought/oversold levels in green.
This setup emphasizes momentum shifts while applying EMA smoothing at both stages to reduce noise and maintain responsiveness. Inputs are adjustable to suit different symbols and timeframes.
Chanpreet RSI Extreme Rays Version 1.0Identifies short-term momentum extremes and highlights potential reversal zones.
Money Flow | Lyro RSMoney Flow | Lyro RS
The Money Flow is a momentum and volume-driven oscillator designed to highlight market strength, exhaustion, and potential reversal points. By combining smoothed Money Flow Index readings with volatility, momentum, and RVI-based logic, it offers traders a deeper perspective on money inflow/outflow, divergences, and overbought/oversold dynamics.
Key Features
Smoothed Money Flow Line
EMA-smoothed calculation of the MFI for noise reduction.
Clear thresholds for overbought and oversold zones.
Normalized Histogram
Histogram plots show bullish/bearish money flow pressure.
Color-coded cross logic for quick trend assessment.
Relative Volatility Index (RVI) Signals
Detects overbought and oversold conditions using volatility-adjusted RVI.
Plots ▲ and ▼ markers at exhaustion points.
Momentum Strength Gauge
Calculates normalized momentum strength from ROC and volume activity.
Displays percentage scale of current momentum force.
Divergence Detection
Bullish divergence: Price makes lower lows while money flow makes higher lows.
Bearish divergence: Price makes higher highs while money flow makes lower highs.
Plotted as diamond markers on the oscillator.
Signal Dashboard (Table Overlay)
Displays real-time status of Money Flow signals, volatility, and momentum.
Color-coded readouts for instant clarity (Long/Short/Neutral + Momentum Bias).
How It Works
Money Flow Calculation – Applies EMA smoothing to MFI values.
Normalization – Scales oscillator between relative high/low values.
Trend & Signals – Generates bullish/bearish signals based on midline and histogram cross logic.
RVI Integration – Confirms momentum exhaustion with overbought/oversold markers.
Divergences – Identifies hidden market imbalances between price and money flow.
Practical Use
Trend Confirmation – Use midline crossovers with histogram direction for money flow bias.
Overbought/Oversold Reversals – Watch RVI ▲/▼ markers for exhaustion setups.
Momentum Tracking – Monitor momentum percentage to gauge strength of current trend.
Divergence Alerts – Spot early reversal opportunities when money flow diverges from price action.
Customization
Adjust length, smoothing, and thresholds for different markets.
Enable/disable divergence detection as needed.
Personalize visuals and dashboard display for cleaner charts.
⚠️ Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used alongside other methods and proper risk management. The creator is not responsible for financial decisions made using this script.
Radial Basis Kernel RSI for LoopRadial Basis Kernel RSI for Loop
What it is
An RSI-style oscillator that uses a radial basis function (RBF) kernel to compute a similarity-weighted average of gains and losses across many lookback lengths and kernel widths (γ). By averaging dozens of RSI estimates—each built with different parameters—it aims to deliver a smoother, more robust momentum signal that adapts to changing market conditions.
How it works
The script measures up/down price changes from your chosen Source (default: close).
For each combination of RSI length and Gamma (γ) in your ranges, it builds an RSI where recent bars that look most similar (by price behavior) get more weight via an RBF kernel.
It averages all those RSIs into a single value, then smooths it with your selected Moving Average type (SMA, EMA, WMA, HMA, DEMA) and a light regression-based filter for stability.
Inputs you can tune
Min/Max RSI Kernel Length & Step: Range of RSI lookbacks to include in the ensemble (e.g., 20→40 by 1) or (e.g., 30→50 by 1).
Min/Max Gamma & Step: Controls the RBF “width.” Lower γ = broader similarity (smoother); higher γ = more selective (snappier).
Source: Price series to analyze.
Overbought / Oversold levels: Defaults 70 / 30, with a midline at 50. Shaded regions help visualize extremes.
MA Type & Period (Confluence): Final smoothing on the averaged RSI line (e.g., DEMA(44) by default).
Red “OB” labels when the line crosses down from extreme highs (~80) → potential overbought fade/exit areas.
Green “OS” labels when the line crosses up from extreme lows (~20) → potential oversold bounce/entry areas.
How to use it
Treat it like RSI, but expect fewer whipsaws thanks to the ensemble and kernel weighting.
Common approaches:
Look for crosses back inside the bands (e.g., down from >70 or up from <30).
Use the 50 midline for directional bias (above = bullish momentum tilt; below = bearish).
Combine with trend filters (e.g., your chart MA) for higher-probability signals.
Performance note: This is really heavy and depending on how much time your subscription allows you could experience this timing out. Increasing the step size is the easiest way to reduce the load time.
Works on any symbol or timeframe. Like any oscillator, best used alongside price action and risk management rather than in isolation.
Custom RVGI with Zero Lineits only traditional RVGI available in trading view and its not my own. I just adding zero line for visible comfort. I am not the creater or owner of this RVGI.
CMO For Loop | QuantLapseCMO For Loop Indicator
The CMO For Loop indicator, inspired by Alex Orekhov's, "Chande Momentum Oscillator," and indicator originally made by Tushar Chande, the CMO designed as a fast and responsive tool to capture quick price movements in financial markets. This oscillator leverages Momentum to measure price deviations, providing a concise yet powerful framework for identifying potential trade entry and exit points. What makes this
"enhanced" CMO indicator special is its ability to identify trending periods more accurately. By using thresholds, this allows the script to enter accurate long and short conditions extremely quickly.
Intended Uses:
Used to capture long-term trends:
Used to identify quick reversals:
Recommended Uses
Best suited for higher timeframes (8H+) to improve accuracy of signals.
Designed for strategies that require fast entries and exits.
Can also be applied to scalping approaches.
Not Recommended For
Should not be used as a mean reversion tool.
Should not be interpreted as a valuation indicator (overbought/oversold levels).
Key Features
Rapid Market Reaction
Built to prioritize speed over smoothing, making it ideal for traders who want to take advantage of quick price shifts in trending or highly volatile markets.
Flexible Thresholds
Users can customize the upper and lower CMO levels to trigger long or short conditions, allowing the indicator to adapt to different assets and trading styles.
Embracing the Noise
Signals may appear frequently, but this is intentional. The tool is optimized for traders who thrive on fast rotations, using the “noise” to catch short-lived yet impactful moves.
Clear Visual Feedback
Plots key oscillator levels and provides dynamic, color-coded candles and shapes that make it easy to identify bias and react quickly.
How It Works
Oscillator Calculation
The CMO (Chande Momentum Oscillator) is derived from comparing the source price’s deviations relative to its momentum. This approach emphasizes trend-driven price shifts.
Signal Triggers
When the oscillator rises above the upper threshold, a long bias is triggered and remains until the CMO drops below the lower threshold.
When the oscillator falls below the lower threshold, a short bias is triggered and remains until the CMO crosses back above the upper threshold.
No bias is active when the oscillator is between thresholds.
Visual Signals
Green candles = long bias
Red candles = short bias
Gray candles = neutral/no signal
Triangles mark points of change in signal direction.
Confluence StackPlease read the instructions below. The code was mostly written using AI so may contain errors. Happy trading all and good luck. ATB Richard
INTENDED USE
This indicator is designed for technical traders who want to move beyond simple buy/sell signals and gain a deeper understanding of the underlying market dynamics. It is ideal for trend followers, swing traders, and anyone looking to confirm the quality of a trend.
WHO IS THIS FOR?
Traders who want to differentiate between strong, sustainable trends and weak, unreliable moves.
Analysts looking to identify high-conviction setups backed by multiple factors (e.g., momentum confirmed by volume).
Discretionary traders who need a quick, visual tool to gauge market sentiment and avoid choppy conditions.
WHY USE IT?
Traditional indicators often give conflicting signals. The Confluence Stack solves this by aggregating multiple perspectives into one clear visual. It helps you answer not just "Is the market going up?" but "WHY is it going up, and how strong is the conviction?". This allows for more informed decision-making and helps filter out low-probability trades.
DISCLAIMER AND LICENSE
This script is for educational purposes only and is not a recommendation to buy or sell any financial instrument. All trading and investment decisions are the sole responsibility of the user. Trading involves significant risk.
This source code is subject to the terms of the Mozilla Public License 2.0 at www.mozilla.org
HOW TO USE THIS INDICATOR
This indicator is designed to show the 'character' of a market move by grouping signals into distinct categories. Instead of seeing many individual signals, you see the strength of the underlying forces driving the price.
1. READ THE HEIGHT (Strength of Confluence)
The total height of the stack shows the strength of agreement. A tall stack means many signals are aligned, indicating a high-conviction move. A short stack means weak agreement and a choppy, indecisive market.
2. READ THE COLOR (Character of the Move)
The colors tell you WHY the market is moving.
BLUE (Momentum): A stack of mostly blue shades indicates a trend driven by pure momentum. This is the 'speed' of the market.
RSI (Relative Strength Index): Measures the magnitude of recent price gains versus losses. A smooth measure of trend strength.
Stochastic Oscillator: Measures the current closing price's position within the recent high-low range. More sensitive to immediate price action.
CCI (Commodity Channel Index): Measures the price's deviation from its moving average. Excels at identifying cyclical turns.
MACD (Moving Average Convergence Divergence): A trend-following momentum indicator showing the relationship between two moving averages. Excellent for identifying the start and end of trends.
YELLOW (Volume): The appearance of yellow shades confirms the move is supported by high market participation. This is the 'fuel' for the trend.
Volume Ratio: A custom signal that triggers when buy or sell volume is unusually high compared to its recent average.
CRV (Candle Range Volume): A custom signal that looks for candles with significant price range and volume.
OBV (On-Balance Volume): A cumulative indicator that adds volume on up days and subtracts it on down days. It shows the long-term flow of money.
FUCHSIA (Volatility): A fuchsia block signals a volatility breakout. This adds a sense of urgency and confirms the price is moving with exceptional force.
Bollinger Bands: A signal triggers when the price closes outside of the upper or lower standard deviation bands.
ORANGE (Price Action): An orange block is a pure price structure signal. It's a raw statement of intent from the market.
Price Gap: A signal that triggers when there's a gap up or gap down between candles.
3. READ THE TRANSITION (Shift in Sentiment)
The most important signal from the stacks is the flip from one side of the zero line to the other.
Flipping from Negative to Positive: A bearish stack disappears and is replaced by a bullish stack. This indicates market sentiment is shifting from bearish to bullish.
Flipping from Positive to Negative: A bullish stack disappears and is replaced by a bearish stack. This warns of a potential top or the start of a new downtrend.
4. FILTER FOR NOISE (Plot Threshold)
In choppy markets, the stack can flicker with low signal counts (e.g., +1 or -1). To focus only on high-conviction moves, go to the indicator settings and increase the "Plot Threshold". A setting of 2 or 3 will hide all stacks that don't have at least 2 or 3 agreeing signals, effectively filtering out market noise and keeping your chart clean.
5. CUSTOMIZE YOUR SIGNALS (Enable/Disable)
This indicator is fully customizable. In the settings, you can enable or disable each of the 9 indicators individually. For example, if you are a pure momentum trader, you could disable all Volume, Volatility, and Price Action signals to focus only on the blue stacks. Tailor it to fit your specific trading style.
EXAMPLE INTERPRETATIONS
Strong, Confirmed Trend: A tall stack of mostly blue (Momentum) and yellow (Volume) indicates a high-quality trend backed by both speed and market participation.
Momentum-Only Trend: A tall stack of only blue is a strong momentum move, but the lack of yellow (Volume) is a warning that the move may lack the "fuel" to be sustained.
Choppy/Indecisive Market: A short, mixed-color stack flickering around the zero line means the market is choppy with no clear conviction. It's often best to stay out.
Volatility Breakout: A new stack that appears suddenly with a fuchsia (Bollinger Bands) block on its first bar suggests a volatility-driven breakout is initiating.
Exhaustion Move: An orange (Price Gap) block appearing at the peak of a tall, long-standing stack can signal an exhaustion gap, potentially marking the end of the trend.
Weakening Conviction (Divergence): If price makes a new high but the positive stack is visibly shorter than the stack at the previous price high, it suggests underlying conviction is weakening.
WAE SHK Teyla 3MDesigned to detect high-pressure market moments, where momentum and volume converge to trigger explosive moves. Ideal as an entry trigger in scalping strategies, especially when paired with STC and ST-MA.
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only)
FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100)
Short Description
Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts.
Full Description (meets “originality & usefulness”)
What’s original
FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow:
Flow Pressure (FP) — In-bar directional drive scaled by relative volume.
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FP
raw
=Drive×RelVol then squashed (softsign) to
.
Why it belongs: distinguishes real pushes (big body and big volume) from noise.
Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR.
𝑉
𝑊
𝐴
𝑃
𝑡
=
∑
(
𝑇
𝑃
×
𝑉
𝑜
𝑙
)
∑
𝑉
𝑜
𝑙
VWAP
t
=
∑Vol
∑(TP×Vol)
over vwapLen.
Drift
=
𝑉
𝑊
𝐴
𝑃
𝑡
−
𝑉
𝑊
𝐴
𝑃
𝑡
−
1
𝐴
𝑇
𝑅
=
ATR
VWAP
t
−VWAP
t−1
→ squashed to
.
Why it belongs: persistent VWAP movement signals sustained accumulation/distribution.
PVT Momentum — Price-Volume Trend standardized (z-score) and squashed.
𝑃
𝑉
𝑇
𝑡
=
𝑃
𝑉
𝑇
𝑡
−
1
+
𝑉
𝑜
𝑙
×
Δ
𝐶
𝑙
𝑜
𝑠
𝑒
𝐶
𝑙
𝑜
𝑠
𝑒
𝑡
−
1
PVT
t
=PVT
t−1
+Vol×
Close
t−1
ΔClose
.
𝑧
=
𝑃
𝑉
𝑇
−
SMA
(
𝑃
𝑉
𝑇
)
StDev
(
𝑃
𝑉
𝑇
)
z=
StDev(PVT)
PVT−SMA(PVT)
→ squashed to
.
Why it belongs: captures volume-weighted trend pressure without relying on price alone.
Composite score:
Score
=
𝑤
𝐹
𝑃
⋅
𝐹
𝑃
+
𝑤
𝑉
𝑊
𝐴
𝑃
⋅
𝑉
𝑊
𝐴
𝑃
_
𝐷
𝑟
𝑖
𝑓
𝑡
+
𝑤
𝑃
𝑉
𝑇
⋅
𝑃
𝑉
𝑇
_
𝑀
𝑜
𝑚
𝑤
𝐹
𝑃
+
𝑤
𝑉
𝑊
𝐴
𝑃
+
𝑤
𝑃
𝑉
𝑇
Score=
w
FP
+w
VWAP
+w
PVT
w
FP
⋅FP+w
VWAP
⋅VWAP_Drift+w
PVT
⋅PVT_Mom
with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones.
How it works (step-by-step)
Compute FP, VWAP Drift, PVT Momentum.
Normalize each to the same
scale.
Weighted average → FlowFusion Score.
Smooth with a Signal line to reduce whipsaw.
Optional background shading when Score exceeds thresholds.
How to use
Direction filter:
Score > 0 favors longs; Score < 0 favors shorts.
Momentum turns:
Score crosses above Signal → setup for long; below → setup for short.
Strength zones:
Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure.
Confluence:
Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50.
Alerts included: zero cross, zone entries, and Score/Signal crossovers.
Inputs (key)
fpLen (20): relative-volume lookback for Flow Pressure.
vwapLen (34): rolling VWAP window.
pvtLen (50): PVT z-score window.
sigLen (9): Signal smoothing.
Weights: wFP, wVWAP, wPVT to bias the blend.
Thresholds: upperBand / lowerBand (defaults +40/−40).
Display: toggle component plots and background shading.
Best practices
Trending markets: increase wVWAP (VWAP Drift) or widen thresholds.
Ranging markets: increase wFP and wPVT; take quicker profits.
News: wait for bar close confirmation or reduce size.
Data quality: use consistent volume feeds (especially in crypto).
Limitations
Oscillators can stay extreme in strong trends; use structure/trend filters.
Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible.
Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
SMC Zones & Confirmations with Filters [PersianDev]these zones filtered by confirmations. confirmations are with filters.
LRSlope - Linear Regression SlopeI modified UCSgears version by simply smoothing regression curve to reduce noise a little bit.
As it mentioned originally "Good way to see if the trend is accelarating or decelarating."
Nearest Rank For Loop - [JTCAPITAL]Nearest Rank For Loop is used for trend-following using the median of the data.
The indicator works by calculating in the following steps:
1. The median is calculated using the ranking length of the source and using "percentile nearest rank" to determine the middle value. This is done with the original length and the length devided by 3, averaged out to eliminate false signals from extremely fast and temporary market movements.
2. Over the length of the loop values get added based on the median being higher than the previous median.
3. The results of the for loop segment get smoothed out using an EMA.
--Buy and sell conditions--
-When the for loop values get above the long threshold we enter a buying condition, we dont exit the buying condition until the for loop values get below the short condition. Which signals a short.
-When the values stay between the thresholds the signal doesnt change. This and smoothing out the for loop values is used to eliminate false signals as much as possible.
--Features and Parameters--
-Allows the changing of the length of the ranking (median)
-Allows the usage of different sources
-Allows changing of the paramaters over the start and end of the for loop segment
-Allows changing the thresholds for longs and shorts
-Allows changing the parameter for the smoothing using an EMA
--Details--
Both the wide thresholds and the use of an EMA over the for loop values are used to eliminate as much false signals as possible. Aswell as deviding the length by 3 and taking the average from the medians. From testing this indicator we have found that using a very small value for the shorting gives the overall best performance. Since a fast market move wont immediately trigger a false signal, but it also wont massively delay entries and exits.
It is recommended to change the parameter settings for different asset classes and timeframes based off volatility and fast and confusing market movements.
Enjoy!
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see
An at-a-glance drawdown-risk oscillator that blends several macro US signals.
• A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100).
• Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down).
• A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE).
Data used & why
Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns.
Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions.
Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration.
Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk.
VIX spikes — optional boost that recognizes sudden risk repricings.
Important disclaimer
This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong.
That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past.
Key customization / tweaks
Weights for each component (Yield, Credit, LEI, VIX, CAPE).
Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels.
Re-steepen boost: enable/disable, base points, half-life decay.
Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green.
Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds.
Status table: position, and a snapshot mode to view values at a chosen historical time.
Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers.
These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment.
🔶 USAGE
This tool is meant to give a full picture of the individuals and/or overall selected tickers, and unlike classical indicators, the displayed series of values is not meant to be directly interpreted over time.
Given the selected lookback period, a majority of observations being above 0 indicate an overall bullish market for the asset.
By default, the auto lookback period feature is enabled, allowing the tool to use all the visible bars for its calculations. Traders can also set the lookback period manually. The above chart uses a fixed lookback period of 500.
Up to 10 tickers can be used. While major cryptocurrencies are set by default, the users can set a specific basket of assets, such as US equities, forex pairs, commodities, etc.
🔹 Densities
The provided areas, here called densities, can be used to get an overall sentiment of the selected tickers. The upper density (bullish) processes positive deltas, while the lower one (bearish) processes negative ones.
Interpretation is subject to the selected "Density Mode".
Average: Densities track the average bullish/bearish cumulative deltas for the selected tickers. For example, a more prominent bullish density would indicate that, on average, cumulative deltas were positive across the tickers.
Envelope: Densities track the extreme values made by bullish/bearish cumulative deltas for the selected tickers. Here, a more prominent density would indicate more volatile bullish/bearish movements, depending on the density.
🔹 Dashboard
The tool features a dashboard with active tickers and their respective colors for traders' convenience.
🔶 DETAILS
🔹 Densities
Densities are obtained by applying a forward-backward exponential moving average on the average, or the highest/lowest cumulative series, depending on the selected Density Mode.
The resulting densities are smoothed by the "Smoothing" parameter located in the Settings panel, with higher values returning smoother envelopes with less variability.
Do note that the smoothing method used here is subject to repainting.
🔶 SETTINGS
Lookback: Select the lookback period and enable/disable the Auto Lookback feature
Tickers: Enable/disable and select up to 10 tickers and their colors
Density Mode: Determine how densities are calculated
🔹 Dashboard
Show Dashboard: Enable/disable the dashboard
Position: Select the dashboard position
Size: Select the dashboard size
🔹 Style
Density: Enable/disable the density areas
Bullish Density: Select the color of the top density area
Bearish Density: Select the color of the bottom density area
Smoothing: Select the smoothing constant for the EMA calculation
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
Pi Cycle OscillatorThis oscillator combines the Pi Cycle Top indicator with a percentile-based approach to create a more precise and easy to read market timing tool.
Instead of waiting for moving average crossovers, it shows you exactly how close you are to a potential market top.
Orange background means you should start preparing for a potential top and look into taking profits.
Red background means that the crossover has happened on the original Pi Cycle Indicator and that you should have already sold everything. (Crossover of the gray line aka 100)
Thank you
Bollinger Band Width Percentile - The_Caretaker
Pi Cycle Top - megasyl20
