Ultra Volume DetectorNative Volume — Auto Levels + Ultra Label
What it does
This indicator classifies volume bars into four categories — Low, Medium, High, and Ultra — using rolling percentile thresholds. Instead of fixed cutoffs, it adapts dynamically to recent market activity, making it useful across different symbols and timeframes. Ultra-high volume bars are highlighted with labels showing compacted values (K/M/B/T) and the appropriate unit (shares, contracts, ticks, etc.).
Core Logic
Dynamic thresholds: Calculates percentile levels (e.g., 50th, 80th, 98th) over a user-defined window of bars.
Categorization: Bars are colored by category (Low/Med/High/Ultra).
Ultra labeling: Only Ultra bars are labeled, preventing chart clutter.
Optional MA: A moving average of raw volume can be plotted for context.
Alerts: Supports both alert condition for Ultra events and dynamic alert() messages that include the actual volume value at bar close.
How to use
Adjust window size: Larger windows (e.g., 200+) provide stable thresholds; smaller windows react more quickly.
Set percentiles: Typical defaults are 50 for Medium, 80 for High, and 98 for Ultra. Lower the Ultra percentile to see more frequent signals, or raise it to isolate only extreme events.
Read chart signals:
Bar colors show the category.
Labels appear only on Ultra bars.
Alerts can be set up for automatic notification when Ultra volume occurs.
Why it’s unique
Adaptive: Uses rolling statistics, not static thresholds.
Cross-asset ready: Adjusts units automatically depending on instrument type.
Efficient visualization: Focuses labels only on the most significant events, reducing noise.
⚠️ Disclaimer: This tool is for educational and analytical purposes only. It does not provide financial advice. Always test and manage risk before trading live
M-oscillator
Top and Bottom Probability
The top and bottom probability oscillator is an educational indicator that estimates the probability of a local top or bottom using four ingredients:
price extension since the last RSI overbought/oversold,
time since that OB/OS event,
RSI divergence strength,
Directional Momentum Velocity (DMV) — a normalized, signed trend velocity.
It plots RSI, two probability histograms (Top %, Bottom %), and an optional 0–100 velocity gauge.
How to read it
RSI & Levels: Standard RSI with OB/OS lines (70/30 by default).
Prob Top (%): Red histogram, 0–100. Higher values suggest increasing risk of a local top after an RSI overbought anchor.
Prob Bottom (%): Green histogram, 0–100. Higher values suggest increasing chance of a local bottom after an RSI oversold anchor.
Velocity (0–100): Optional line. Above 50 = positive/upward DMV; below 50 = negative/downward DMV. DMV pushes Top risk when trending down and Bottom chance when trending up.
These are composite, scale-free scores, not certainties or trade signals.
What the probabilities consider
Price Delta: How far price has moved beyond the last OB (for tops) or below the last OS (for bottoms). More extension → higher probability.
Time Since OB/OS: Longer time since the anchor → higher probability (until capped by the “Time Normalization (bars)” input).
Oscillator Divergence: RSI pulling away from its last OB/OS reading in the opposite direction implies weakening momentum and increases probability.
Directional Momentum Velocity (DMV):
Computes a regression slope of hlc3 vs. bar index, normalized by ATR, then squashed with tanh.
Downward DMV boosts Top probability; upward DMV boosts Bottom probability.
Toggle the velocity plot and adjust its sensitivity with Velocity Lookback, ATR Length, and Velocity Gain.
All four terms are blended with user-set weights. If Normalize Weights is ON, weights are rescaled to sum to 1.
Inputs (most useful)
RSI Length / OB / OS: Core RSI setup.
Time Normalization (bars): Sets how quickly the “time since OB/OS” term ramps from 0→1.
Weights:
Price Delta, Time Since OB/OS, Osc Divergence, Directional Velocity.
Turn Normalize Weights ON to keep the blend consistent when you experiment.
Settings:
Velocity Lookback: Window for slope estimation (shorter = more reactive).
ATR Length: Normalizes slope so symbols/timeframes are comparable.
Velocity Gain: Steepens or softens the tanh curve (higher = punchier extremes).
Show Velocity (0–100): Toggles the DMV display.
Tip: If you prefer momentum measured on RSI rather than price, in the DMV block replace hlc3 with rsi (concept stays identical).
Practical tips
Use Top/Bottom % as context, not triggers. Combine with structure (S/R), trend filters, and risk management.
On strong trends, expect the opposite probability (e.g., Top % during an uptrend) to stay suppressed longer.
Calibrate weights: e.g., raise Osc Divergence on mean-reversion symbols; raise Velocity in trending markets.
For lower noise: lengthen Velocity Lookback and ATR Length, or reduce Velocity Gain.
Signal Generator: HTF EMA Momentum + MACDHTF EMA Momentum + MACD Indicator
This indicator combines higher timeframe (HTF) EMA momentum with MACD signals to identify potential trend-aligned trades. It displays an HTF histogram for momentum (green for up, red for down) and MACD lines in a subwindow, with buy/sell labels on the main chart when conditions align.
Key Components:
HTF Histogram:
Based on EMA differences from a selected higher timeframe (default H1). It reflects momentum: green if current diff > previous (with optional strict 3-bar check), red otherwise. Can ignore EMA crossover if "HTF Momentum Only" is enabled.
MACD Lines: Standard MACD (fast/slow/signal) on the current timeframe, with adjustable scaling.
Signals:
Buy: HTF uptrend + MACD cross up below -Zero Band + min gap filter.
Sell: HTF downtrend + MACD cross down above +Zero Band + min gap filter.
Labels appear 1.5 ATR (adjustable) from the candle, sized large for visibility.
Filters: Zero Band avoids near-zero crosses; Min MACD Gap ensures separation.
Extras: Toggleable zero levels, alerts, and full customization of periods, colors, and scales.
Usage Tips:
Apply to any timeframe; set HTF for broader context (e.g., H4 for intraday). Use signals as entry cues with additional confirmation like support/resistance. Backtest thoroughly—risk management is essential.
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1) - Dual Color Histogram with Smoothing and Buy/Sell LabelsOverviewThis indicator calculates a probabilistic bias for buy or sell opportunities across multiple timeframes (from 5-minute to Daily), combining trend analysis from EMA (200-period), momentum from MACD, and strength from ADX. It incorporates higher timeframe weighting, momentum emphasis, and Smart Money Concept (SMC) influences via ADX scoring. Additionally, it adjusts for proximity to recent support/resistance levels to refine the probability.The output is visualized as:A dual-color histogram in a sub-panel (green for bullish bias ≥50%, red for bearish <50%), smoothed for reduced noise.
Buy/Sell percentage labels on the main chart, displayed above (Buy) and below (Sell) the last candle for quick reference.
Probabilities are clamped between 0% and a user-defined max (default 100%), ensuring realistic outputs. This tool is designed for traders seeking multi-timeframe confluence, helping identify potential entry points in trending or ranging markets.Key FeaturesMulti-Timeframe Analysis: Aggregates data from M5, M15, H1, H4, and D1, starting from the current chart's timeframe upward. Weights can be customized for each TF to emphasize lower or higher frames.
Component Weights: Balances trend (EMA-based), momentum (MACD), and SMC/strength (ADX) with adjustable ratios.
Smoothing: Applies a simple moving average (SMA) to the buy probability for smoother readings.
Support/Resistance Adjustment: Influences the score based on proximity to recent highs/lows within a lookback period, adding a price action layer.
Boost for Current TF: Optionally amplifies the weight of the starting timeframe for more responsive signals on lower charts.
Visuals: Histogram for trend bias visualization; labels for precise % readouts on the last bar.
How It WorksTrend Score: Derived from price position relative to EMA(200) on each TF (+100% if above, -100% if below).
Momentum Score: Based on MACD line vs. signal (+100% if bullish cross, -100% if bearish).
ADX Score: Measures trend strength (scaled to 0-100%, where higher ADX boosts the directional bias).
Aggregation: Scores are weighted by TF percentages and component weights (Trend, Momentum, SMC), then combined.
S/R Adjustment: Adds/subtracts influence based on closeness to recent highs (resistance) or lows (support).
Probability Calculation: Final buy % = 50% + (total score / 2), clamped; sell % = 100% - buy %.
Smoothing & Display: Buy % is smoothed via SMA; histogram shows deviation from 50%; labels update on the last bar.
InterpretationBuy Bias (Green Histogram >0): Suggests bullish probability >50%. Higher bars indicate stronger confluence.
**Sell Bias (Red Histogram <0)**: Suggests bearish probability >50%. Lower bars indicate stronger downside bias.
Labels: "BUY: XX%" above the candle (lime background) and "SELL: YY%" below (red background). Use these for quick probability checks—e.g., BUY 70% implies a 70/30 bullish edge.
Neutral Zone: Around 50% indicates low confluence; avoid trading or wait for confirmation.
Best Use: Combine with price action, volume, or other indicators. Ideal for swing trading on H1+ charts or scalping on M5/M15 with higher TF weights.
Input ParametersEMA 200 Period: Length for the trend EMA (default: 200).
MACD Settings: Fast (12), Slow (26), Signal (9).
ADX Period: For trend strength (14).
Weights:Higher Time Frame (Trend): 0.4
Momentum: 0.4
SMC (ADX): 0.3
TF Weights (%): M5 (40), M15 (0), H1 (30), H4 (30), D1 (0). Total should sum to 100% for normalization.
Used Timeframe Boost: Multiplier for the starting TF (1.0 = no boost).
Probability Clamp: Max buy % (100.0).
Smoothing Period: SMA length for buy prob (3).
S/R Lookback: Bars for high/low detection (50).
S/R Proximity Influence: Strength of adjustment (10.0).
Colors: Buy (lime), Sell (red).
Notes & LimitationsThis is not financial advice—use for educational/informational purposes only. Backtest thoroughly.
Performance may vary by asset; optimize weights for stocks, forex, or crypto.
On very low timeframes (
REDLIGHT GREENLIGHTBased on the Stochastic Momentum Index and L2 Ehlers Loops by blackcat1402. Added red and green background (reflects when the yellow histogram is above or below zero).
MAC-Z VWAP Indicator + L/S ThresholdOriginal Script by Lazybear.
Added long/short threshold on the MAC-Z source.
Added BG coloring for visually backtesting.
Script to version 5.
heat map Last Close (Green/Red) 1-5-15-30-60-120m candle chartheat map Last Close (Green/Red) 1-5-15-30-60-120m candle chart
RCI2MAsignWhen the slopes of any two RCI lines are upward and above any MA, a buy signal is generated. Conversely, a sell signal is generated. Signals are represented by background color.
Acceleration/Deceleration OscillatorUses a Kaufman MA on the acceleration/deceleration oscillator to give buy and sell signals.
MACD Classic MT5 Style (2 Lines + Histogram)MACD เหมือน MT5 นะจ๊ะ
MACD Line (Green) = Difference between Fast EMA and Slow EMA
Signal Line (Red) = EMA of the MACD Line
Histogram = Distance between MACD Line and Signal Line (or in MT5 style, just MACD Line itself)
Quad Stochastic Div (Latching Quad)This script combines 4 stochastic lines, plotting only the %D lines.
(9,3)(14,3)(40,4)(60,10)
When all 4 are oversold or overbought, a buy or sell background is painted. When the slowest moving stochastic finally rotates back towards the center, the background will unlatch. This script also marks most divergences made between the chart and the 2 faster moving stochastic lines. White markers for the 9,3 and orange markers for the 14,4. Tradable signals are both orange and white divergence occurring on the same pivot, or either divergence leading out of a rotation. Generally more useful for scalping 1-5m charts.
I also built out some strength ratings to attempt to classify the divergences against one another, but this didn't seem to have much value in practice so by default the tags are turned off.
This indicator is helpful for anyone interested in daytradingrockstar on youtube's quad stochastic strategy.
PulseMA Oscillator Normalized v2█ OVERVIEW
PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making.
█ CONCEPTS
The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations.
Why use it?
Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers.
Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope.
Visual clarity: Gradients, fills, and colored lines enable quick chart analysis.
Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets.
How it works?
Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator.
Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes.
Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter.
Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA).
Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles.
Alerts: Built-in alerts for buy and sell signals.
Settings and customization
PulseMA Length: Length of the base EMA (default 20).
PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20).
Normalization Lookback Period: Normalization period (default 150, minimum 10).
Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50).
Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills.
Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills.
█ OTHER SECTIONS
Usage examples
Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction.
Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability.
Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics.
Notes for users
Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy.
Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
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.
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.