BskLAB - Money Flow X🧠 BskLAB – Money Flow X | Usage Guide & Description
BskLAB – Money Flow X is a two-mode volume visualization tool designed to help traders better understand market behavior through real-time momentum and divergence analysis. It is best used alongside the BskLAB Signal Assistant to confirm signal quality using volume-based conditions.
🔧 Preset Modes Overview
📊 Mode 1: Money Flow (WaveTrend + Divergence)
This mode leverages a customized WaveTrend oscillator to reflect changes in volume pressure and trend strength. A second smoothed line helps confirm trend shifts through crossovers.
🔹 Features:
Momentum shifts identified via WaveTrend crossover logic
Visual confirmation of overbought/oversold zones
Divergence detection (Classic & Hidden) auto-marked on the chart:
Green = Bullish Divergence
Red = Bearish Divergence
Blue/Orange = Hidden Divergences
🔹 Use Case:
Best suited for spotting early trend reversals and identifying exhaustion during high or low volume zones.
🚀 Mode 2: Volume Momentum (Dynamic Histogram)
This mode displays volume-driven momentum using a dynamic histogram that visually represents shifts in market pressure.
The histogram is calculated based on a customized interpretation of Bollinger Band behavior, which allows it to reflect how price reacts relative to recent volatility boundaries. This approach provides an indirect view of how buying or selling pressure emerges as price stretches away from its average range.
🔹 Features:
Expanding histogram bars reflect growing momentum or pressure buildup
Bar color dynamically adjusts to highlight whether buying or selling activity dominates
Helps detect conditions where price is preparing to break out or slow down
🔹 Use Case:
Useful for validating strong directional moves or recognizing when volume momentum is building up or fading—particularly when price starts reacting aggressively beyond its recent volatility range.
⚙️ Adjustable Parameters
Both modes include customizable settings:
Smoothing control for responsiveness
Divergence toggles (Classic / Hidden)
Adjustable volume period for fine-tuning responsiveness
🧩 Summary
Whether you’re trading trends or reversals, BskLAB – Money Flow X helps decode the story behind price action by:
Identifying volume pressure shifts
Highlighting trend momentum visually
Confirming signals with divergence-based cues
The result: clear, flexible insight into market strength—without relying solely on price candles.
Osilatörler
Stochastic RSI by StrikiYou can DIY setup ;
- K/D length
- Type of MA which to calculate K/D
- Highlight of OVB/OVS
- Plot shape of K entering channel from OVB/OVS
- Plot shape of K/D crossover
- Filling ribbon Up/Down trend between K/D crossover
TDI by Striki** Not Asking anyone to use, No Blaming. Just want to share with my friends**
Input RSI ;
-set new length , source , Type of MA to calculate
Input BB ;
- Can choose Type of MA to calculate, StdDev value (1+n)
Style ;
- Plotting Fast/Slow MA crossover
- Plotting Fast MA/BB Line crossover
Dual RSI IndicatorThis RSI indicator allows you to view an additional timeframe to help you spot better entries. For example when RSI is overbought/oversold on two timeframes may help give you additional confidence in placing the trade.
Normalized Open InterestNormalized Open Interest (nOI) — Indicator Overview
What it does
Normalized Open Interest (nOI) transforms raw futures open-interest data into a 0-to-100 oscillator, so you can see at a glance whether participation is unusually high or low—similar in spirit to an RSI but applied to open interest. The script positions today’s OI inside a rolling high–low range and paints it with contextual colours.
Core logic
Data source – Loads the built-in “_OI” symbol that TradingView provides for the current market.
Rolling range – Looks back a user-defined number of bars (default 500) to find the highest and lowest OI in that window.
Normalization – Calculates
nOI = (OI – lowest) / (highest – lowest) × 100
so 0 equals the minimum of the window and 100 equals the maximum.
Visual cues – Plots the oscillator plus fixed horizontal levels at 70 % and 30 % (or your own numbers). The line turns teal above the upper level, red below the lower, and neutral grey in between.
User inputs
Window Length (bars) – How many candles the indicator scans for the high–low range; larger numbers smooth the curve, smaller numbers make it more reactive.
Upper Threshold (%) – Default 70. Anything above this marks potentially crowded or overheated interest.
Lower Threshold (%) – Default 30. Anything below this marks low or capitulating interest.
Practical uses
Spot extremes – Values above the upper line can warn that the long side is crowded; values below the lower line suggest disinterest or short-side crowding.
Confirm breakouts – A price breakout backed by a sharp rise in nOI signals genuine engagement.
Look for divergences – If price makes a new high but nOI does not, participation might be fading.
Combine with volume or RSI – Layer nOI with other studies to filter false signals.
Tips
On intraday charts for non-crypto symbols the script automatically fetches daily OI data to avoid gaps.
Adjust the thresholds to 80/20 or 60/40 to fit your market and risk preferences.
Alerts, shading, or additional signal logic can be added easily because the oscillator is already normalised.
Stochastic SuperTrend [BigBeluga]🔵 OVERVIEW
A hybrid momentum-trend tool that combines Stochastic RSI with SuperTrend logic to deliver clean directional signals based on momentum turns.
Stochastic SuperTrend is a straightforward yet powerful oscillator overlay designed to highlight turning points in momentum with high clarity. It overlays a SuperTrend-style envelope onto the Stochastic RSI, generating intuitive up/down signals when a momentum shift occurs across the neutral 50 level. Built for traders who appreciate simplicity without sacrificing reliability.
🔵 CONCEPTS
Stochastic RSI: Measures momentum by applying stochastic calculations to the RSI curve instead of raw price.
SuperTrend Bands: Dynamic upper/lower bands are drawn around the smoothed Stoch RSI line using a user-defined multiplier.
Momentum Direction: Trend flips when the smoothed Stoch RSI crosses above/below the calculated bands.
Neutral Bias Filter: Directional arrows only appear when momentum turns above or below the central 50 level—adding confluence.
🔵 FEATURES
Trend Detection on Oscillator: Applies SuperTrend logic directly to the Stoch RSI curve.
Clean Entry Signals:
→ 🢁 arrow printed when trend flips bullish below 50 (bottom reversals).
→ 🢃 arrow printed when trend flips bearish above 50 (top reversals).
Custom Multiplier: Adjust sensitivity of SuperTrend band spacing around the oscillator.
Neutral Zone Highlight: Visual zone between 0–50 (green) and 50–100 (red) for quick momentum polarity reference.
Toggle SuperTrend Line: Option to show/hide the SuperTrend trail on the Stoch RSI.
🔵 HOW TO USE
Use 🢁 signals for potential bottom reversals when momentum flips bullish from oversold regions.
Use 🢃 signals for potential top reversals when momentum flips bearish from overbought areas.
Combine with price-based SuperTrend or support/resistance zones for confluence.
Suitable for scalping, swing trading, or momentum filtering across all timeframes.
🔵 CONCLUSION
Stochastic SuperTrend is a simple yet refined tool that captures clean momentum shifts with directional clarity. Whether you're identifying reversals, filtering entries, or spotting exhaustion in a trend, this oscillator overlay delivers just what you need— no clutter, just clean momentum structure.
Wawa Lite - Liquidity Sweeps + Couleurs personnalisablesThis indicator can only be used with the trend and only on gold!
Here are all the tools inside:
EMA 50 and 200 close
RSI close 14
Liquidity sweep
Tested on 500 and in profit of 60.4 on gold, used during London and New York killzones as much more relevant.
you can change the size of the sl and tp as well as the colours, I'll do an update to put them online and not in the bubble.
ONLY GOLD BEWARE
WaveTrend Weekly Lower Highs V4This Pine Script creates a WaveTrend Weekly Lower Highs indicator designed to identify weakening momentum and potential trend reversals by tracking lower highs in weekly price action.
Core Purpose:
Calculates the WaveTrend oscillator using weekly timeframe data with smoothing algorithms
Automatically detects and categorizes pivot highs into different types based on their position relative to overbought levels and zero line
Key Features:
High Classification System: Labels highs as "H" (above overbought), "LH" (lower high), "LH-S" (secondary lower high), "Int-LH" (intermediate lower high below zero), or "Int-H" (intermediate high)
Lower High Detection: Specifically tracks when highs form below previous highs after an overbought condition, indicating potential weakness.
Trading Application:
This indicator helps traders identify when an asset's momentum is deteriorating through a series of lower highs, which often precedes trend reversals or significant corrections. It's particularly useful for swing traders and position traders working on weekly charts who want to spot early signs of trend exhaustion before major moves occur.
The script includes alert conditions to notify traders when different types of highs are detected.
RSI OB/OS THEDU 999//@version=6
indicator("RSI OB/OS THEDU 999", overlay=false)
//#region Inputs Section
// ================================
// Inputs Section
// ================================
// Time Settings Inputs
startTime = input.time(timestamp("1 Jan 1900"), "Start Time", group="Time Settings")
endTime = input.time(timestamp("1 Jan 2099"), "End Time", group="Time Settings")
isTimeWindow = time >= startTime and time <= endTime
// Table Settings Inputs
showTable = input.bool(true, "Show Table", group="Table Settings")
fontSize = input.string("Auto", "Font Size", options= , group="Table Settings")
// Strategy Settings Inputs
tradeDirection = input.string("Long", "Trade Direction", options= , group="Strategy Settings")
entryStrategy = input.string("Revert Cross", "Entry Strategy", options= , group="Strategy Settings")
barLookback = input.int(10, "Bar Lookback", minval=1, maxval=20, group="Strategy Settings")
// RSI Settings Inputs
rsiPeriod = input.int(14, "RSI Period", minval=1, group="RSI Settings")
overboughtLevel = input.int(70, "Overbought Level", group="RSI Settings")
oversoldLevel = input.int(30, "Oversold Level", group="RSI Settings")
//#endregion
//#region Font Size Mapping
// ================================
// Font Size Mapping
// ================================
fontSizeMap = fontSize == "Auto" ? size.auto : fontSize == "Small" ? size.small : fontSize == "Normal" ? size.normal : fontSize == "Large" ? size.large : na
//#endregion
//#region RSI Calculation
// ================================
// RSI Calculation
// ================================
rsiValue = ta.rsi(close, rsiPeriod)
plot(rsiValue, "RSI", color=color.yellow)
hline(overboughtLevel, "OB Level", color=color.gray)
hline(oversoldLevel, "OS Level", color=color.gray)
//#endregion
//#region Entry Conditions
// ================================
// Entry Conditions
// ================================
buyCondition = entryStrategy == "Revert Cross" ? ta.crossover(rsiValue, oversoldLevel) : ta.crossunder(rsiValue, oversoldLevel)
sellCondition = entryStrategy == "Revert Cross" ? ta.crossunder(rsiValue, overboughtLevel) : ta.crossover(rsiValue, overboughtLevel)
// Plotting buy/sell signals
plotshape(buyCondition ? oversoldLevel : na, title="Buy", location=location.absolute, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.small)
plotshape(sellCondition ? overboughtLevel : na, title="Sell", location=location.absolute, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.small)
// Plotting buy/sell signals on the chart
plotshape(buyCondition, title="Buy", location=location.belowbar, color=color.green, style=shape.triangleup, text="BUY", textcolor=color.white, size=size.small , force_overlay = true)
plotshape(sellCondition, title="Sell", location=location.abovebar, color=color.red, style=shape.triangledown, text="SELL", textcolor=color.white, size=size.small, force_overlay = true)
//#endregion
//#region Returns Matrix Calculation
// ================================
// Returns Matrix Calculation
// ================================
var returnsMatrix = matrix.new(0, barLookback, 0.0)
if (tradeDirection == "Long" ? buyCondition : sellCondition ) and isTimeWindow
newRow = array.new_float(barLookback)
for i = 0 to barLookback - 1
entryPrice = close
futurePrice = close
ret = (futurePrice - entryPrice) / entryPrice * 100
array.set(newRow, i, math.round(ret, 4))
matrix.add_row(returnsMatrix, matrix.rows(returnsMatrix), newRow)
//#endregion
//#region Display Table
// ================================
// Display Table
// ================================
var table statsTable = na
if barstate.islastconfirmedhistory and showTable
statsTable := table.new(position.top_right, barLookback + 1, 4, border_width=1, force_overlay=true)
// Table Headers
table.cell(statsTable, 0, 1, "Win Rate %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 2, "Mean Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
table.cell(statsTable, 0, 3, "Median Return %", bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Row Headers
for i = 1 to barLookback
table.cell(statsTable, i, 0, str.format("{0} Bar Return", i), bgcolor=color.rgb(45, 45, 48), text_color=color.white, text_size=fontSizeMap)
// Calculate Statistics
meanReturns = array.new_float()
medianReturns = array.new_float()
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
array.push(meanReturns, array.avg(colData))
array.push(medianReturns, array.median(colData))
// Populate Table
for col = 0 to matrix.columns(returnsMatrix) - 1
colData = matrix.col(returnsMatrix, col)
positiveCount = 0
for val in colData
if val > 0
positiveCount += 1
winRate = positiveCount / array.size(colData)
meanRet = array.avg(colData)
medianRet = array.median(colData)
// Color Logic
winRateColor = winRate == 0.5 ? color.rgb(58, 58, 60) : (winRate > 0.5 ? color.rgb(76, 175, 80) : color.rgb(244, 67, 54))
meanBullCol = color.from_gradient(meanRet, 0, array.max(meanReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
meanBearCol = color.from_gradient(meanRet, array.min(meanReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
medianBullCol = color.from_gradient(medianRet, 0, array.max(medianReturns), color.rgb(76, 175, 80), color.rgb(0, 128, 0))
medianBearCol = color.from_gradient(medianRet, array.min(medianReturns), 0, color.rgb(255, 0, 0), color.rgb(255, 99, 71))
table.cell(statsTable, col + 1, 1, str.format("{0,number,#.##%}", winRate), text_color=color.white, bgcolor=winRateColor, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 2, str.format("{0,number,#.###}%", meanRet), text_color=color.white, bgcolor=meanRet > 0 ? meanBullCol : meanBearCol, text_size=fontSizeMap)
table.cell(statsTable, col + 1, 3, str.format("{0,number,#.###}%", medianRet), text_color=color.white, bgcolor=medianRet > 0 ? medianBullCol : medianBearCol, text_size=fontSizeMap)
//#endregion
// Background color for OB/OS regions
bgcolor(rsiValue >= overboughtLevel ? color.new(color.red, 90) : rsiValue <= oversoldLevel ? color.new(color.green, 90) : na)
EMA Crossover + RSI Confirmation (Buy/Sell)Updated version for EMA crossover stategy with RSI confirmation
EMA Crossover + RSI Confirmation (Buy/Sell)This indicator provides buy and sell signals based on EMA9 and EMA21 crossover with confirmation from RSI
Scalp BeastScalp Beast V1 — Strategy Summary
High-frequency scalping strategy tailored for volatile assets (GOLD, NAS100, EURUSD), optimized for M1 to M15.
Blends trend filtering, RSI confirmation, and strict risk control with a fixed 1:2 R:R (risk €30 / reward €60).
Entry conditions:
• Bullish: EMA 50 > EMA 200 → BUY if RSI < 50
• Bearish: EMA 50 < EMA 200 → SELL if RSI > 50
• ⏱ 5-bar spacing between trades
Visuals:
• BUY/SELL shown on exact candles
• TP/SL shown with clean price-level lines
• Fully dynamic — no frozen elements
Best for:
• M1 / M5 / M15
• Fast, clear, rule-based scalping
—
Created by Wawa | “Scalp Beast” Series ⚔️
lon super chart## LON Super Chart Indicator
### Overview
The LON Super Chart indicator is a sophisticated volume-price momentum oscillator that combines price action with volume analysis to identify potential trading opportunities. It features a unique DNA spiral visualization that provides real-time insights into market dynamics.
### Key Features
- **Dual Line System**: Main indicator line and moving average for trend confirmation
- **DNA Spiral Visualization**: Unique spiral connection lines between the two main lines
- **Dynamic Color Coding**: Spiral colors change based on line convergence/divergence
- **Volume-Price Integration**: Combines price movements with volume density analysis
### Visual Elements
- **Red Main Line**: Primary LON indicator line
- **Green Moving Average**: Trend confirmation line
- **DNA Spiral Lines**: Dynamic connection lines with color-coded behavior
- **Zero Axis**: Reference line for trend direction
### Color Interpretation
#### Spiral DNA Colors
- **Red Spiral**: Lines are diverging (increasing distance) - potential trend continuation
- **Green Spiral**: Lines are converging (decreasing distance) - potential reversal signal
- **Gray Spiral**: No significant change in line distance
### Trading Strategy
#### Entry Signals
1. **Convergence Signal**: When spiral turns green (lines converging)
- May indicate potential reversal or consolidation
- Look for additional confirmation signals
2. **Divergence Signal**: When spiral turns red (lines diverging)
- May indicate trend continuation
- Consider following the trend direction
#### Trend Analysis
- **Above Zero**: Bullish momentum
- **Below Zero**: Bearish momentum
- **Line Crossovers**: Potential trend change signals
### Best Practices
- **Timeframe**: Works best on 1H, 4H, and Daily charts
- **Markets**: Effective on stocks, forex, and crypto
- **Confirmation**: Always combine with other technical analysis tools
- **Risk Management**: Use stop losses and position sizing
### Usage Tips
- Monitor spiral color changes for early trend signals
- Use zero axis crossovers for major trend direction
- Combine with volume analysis for stronger signals
- Avoid trading against strong spiral color trends
This indicator excels at identifying momentum shifts and trend dynamics through its innovative visual approach, making it ideal for swing trading and medium-term position management.
Bollinger Bands Entry/Exit ThresholdsBollinger Bands Entry/Exit Thresholds
Author of enhancements: chuckaschultz
Inspired and adapted from the original 'Bollinger Bands Breakout Oscillator' by LuxAlgo
Overview
Pairs nicely with Contrarian 100 MA
The Bollinger Bands Entry/Exit Thresholds is a powerful momentum-based indicator designed to help traders identify potential entry and exit points in trending or breakout markets. By leveraging Bollinger Bands, this indicator quantifies price deviations from the bands to generate bullish and bearish momentum signals, displayed as an oscillator. It includes customizable entry and exit signals based on user-defined thresholds, with visual cues plotted either on the oscillator panel or directly on the price chart.
This indicator is ideal for traders looking to capture breakout opportunities or confirm trend strength, with flexible settings to adapt to various markets and trading styles.
How It Works
The Bollinger Bands Entry/Exit Thresholds calculates two key metrics:
Bullish Momentum (Bull): Measures the extent to which the price exceeds the upper Bollinger Band, expressed as a percentage (0–100).
Bearish Momentum (Bear): Measures the extent to which the price falls below the lower Bollinger Band, also expressed as a percentage (0–100).
The indicator generates:
Long Entry Signals: Triggered when the bearish momentum (bear) crosses below a user-defined Long Threshold (default: 40). This suggests weakening bearish pressure, potentially indicating a reversal or breakout to the upside.
Exit Signals: Triggered when the bullish momentum (bull) crosses below a user-defined Sell Threshold (default: 80), indicating a potential reduction in bullish momentum and a signal to exit long positions.
Signals are visualized as tiny colored dots:
Long Entry: Blue dots, plotted either at the bottom of the oscillator or below the price bar (depending on user settings).
Exit Signal: White dots, plotted either at the top of the oscillator or above the price bar.
Calculation Methodology
Bollinger Bands:
A user-defined Length (default: 14) is used to calculate an Exponential Moving Average (EMA) of the source price (default: close).
Standard deviation is computed over the same length, multiplied by a user-defined Multiplier (default: 1.0).
Upper Band = EMA + (Standard Deviation × Multiplier)
Lower Band = EMA - (Standard Deviation × Multiplier)
Bull and Bear Momentum:
For each bar in the lookback period (length), the indicator calculates:
Bullish Momentum: The sum of positive deviations of the price above the upper band, normalized by the total absolute deviation from the upper band, scaled to a 0–100 range.
Bearish Momentum: The sum of positive deviations of the price below the lower band, normalized by the total absolute deviation from the lower band, scaled to a 0–100 range.
Formula:
bull = (sum of max(price - upper, 0) / sum of abs(price - upper)) * 100
bear = (sum of max(lower - price, 0) / sum of abs(lower - price)) * 100
Signal Generation:
Long Entry: Triggered when bear crosses below the Long Threshold.
Exit: Triggered when bull crosses below the Sell Threshold.
Settings
Length: Lookback period for EMA and standard deviation (default: 14).
Multiplier: Multiplier for standard deviation to adjust Bollinger Band width (default: 1.0).
Source: Input price data (default: close).
Long Threshold: Bearish momentum level below which a long entry signal is generated (default: 40).
Sell Threshold: Bullish momentum level below which an exit signal is generated (default: 80).
Plot Signals on Main Chart: Option to display entry/exit signals on the price chart instead of the oscillator panel (default: false).
Style:
Bullish Color: Color for bullish momentum plot (default: #f23645).
Bearish Color: Color for bearish momentum plot (default: #089981).
Visual Features
Bull and Bear Plots: Displayed as colored lines with gradient fills for visual clarity.
Midline: Horizontal line at 50 for reference.
Threshold Lines: Dashed green line for Long Threshold and dashed red line for Sell Threshold.
Signal Dots:
Long Entry: Tiny blue dots (below price bar or at oscillator bottom).
Exit: Tiny white dots (above price bar or at oscillator top).
How to Use
Add to Chart: Apply the indicator to your TradingView chart.
Adjust Settings: Customize the Length, Multiplier, Long Threshold, and Sell Threshold to suit your trading strategy.
Interpret Signals:
Enter a long position when a blue dot appears, indicating bearish momentum dropping below the Long Threshold.
Exit the long position when a white dot appears, indicating bullish momentum dropping below the Sell Threshold.
Toggle Plot Location: Enable Plot Signals on Main Chart to display signals on the price chart for easier integration with price action analysis.
Combine with Other Tools: Use alongside other indicators (e.g., trendlines, support/resistance) to confirm signals.
Notes
This indicator is inspired by LuxAlgo’s Bollinger Bands Breakout Oscillator but has been enhanced with customizable entry/exit thresholds and signal plotting options.
Best used in conjunction with other technical analysis tools to filter false signals, especially in choppy or range-bound markets.
Adjust the Multiplier to make the Bollinger Bands wider or narrower, affecting the sensitivity of the momentum calculations.
Disclaimer
This indicator is provided for educational and informational purposes only.
Momentum Trajectory Suite📈 Momentum Trajectory Suite
🟢 Overview
Momentum Trajectory Suite is a multi-faceted indicator designed to help traders evaluate trend direction, volatility conditions, and behavioral sentiment in a single consolidated view.
By combining a customizable Trajectory EMA, adaptive Bollinger Bands, and a Greed vs. Fear heatmap, this tool empowers traders to identify directional bias, measure momentum strength, and spot potential reversals or continuation setups.
🧠 Concept
This indicator merges three classic techniques:
Trend Analysis: Trajectory EMA highlights the prevailing directional momentum by smoothing price action over a customizable period.
Volatility Envelopes: Bollinger Bands adapt to dynamic price swings, showing overbought/oversold extremes and periods of contraction or expansion.
Behavioral Sentiment: A Greed vs. Fear heatmap combines RSI and MACD Histogram readings to visualize when markets are dominated by buying enthusiasm or selling pressure.
The combination is designed to help traders interpret market context more effectively than using any single component alone.
🛠️ How to Use the Indicator
Trajectory EMA:
Use the blue EMA line to assess overall trend direction.
Price closing above the EMA may indicate bullish momentum; closing below may indicate bearish bias.
Buy/Sell Signals:
Green circles appear when price crosses above the EMA (potential long entry).
Red circles appear when price crosses below the EMA (potential exit or short entry).
Bollinger Bands:
Monitor upper/lower bands for overbought and oversold price extremes.
Narrowing bands may signal upcoming volatility expansion.
Greed vs. Fear Heatmap:
Green histogram bars indicate bullish sentiment when RSI exceeds 60 and MACD Histogram is positive.
Red histogram bars indicate bearish sentiment when RSI is below 40 and MACD Histogram is negative.
Gray bars indicate neutral or mixed conditions.
Background Color Zones:
The chart background shifts to green when EMA slope is positive and red when negative, providing quick directional cues.
All inputs are adjustable in settings, including EMA length, Bollinger Band parameters, and oscillator configurations.
📊 Interpretation
Bullish Conditions:
Price above the Trajectory EMA, background green, and Greed heatmap active.
May signal trend continuation and increased buying pressure.
Bearish Conditions:
Price below the Trajectory EMA, background red, and Fear heatmap active.
May signal momentum breakdown or potential continuation to the downside.
Volatility Clues:
Wide Bollinger Bands = trending, volatile market.
Narrow Bollinger Bands = low volatility and possible breakout setup.
Signal Confirmation:
Consider combining signals (e.g., EMA crossover + Greed/Fear heatmap + Bollinger Band touch) for higher-confidence entries.
📝 Notes
The script does not repaint or use future data.
Suitable for multiple timeframes (intraday to daily).
May be combined with other confirmation tools or price action analysis.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Trading carries risk and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
RSI Divergence (Nikko)RSI Divergence by Nikko
🧠 RSI Divergence Detector — Nikko Edition This script is an enhanced RSI Divergence detector built with Pine Script v6, modified for better visuals and practical usability. It uses linear regression to detect bullish and bearish divergences between the RSI and price action — one of the most reliable early signals in technical analysis.
✅ Improvements from the Original:
- Clean divergence lines using regression fitting.
- Optional label display to reduce clutter (Display Labels toggle).
- Adjustable line thickness (Display Line Width).
- A subtle heatmap background to highlight RSI overbought/oversold zones.
- Uses max accuracy with high calc_bars_count and custom extrapolation window.
🔍 How It Works: The script applies linear regression (least squares method) on both RSI data, and Price (close) data.
It then compares the direction of RSI vs. direction of Price over a set length. If price is making higher highs while RSI makes lower highs, it's a bearish divergence. If price is making lower lows while RSI makes higher lows, it's a bullish divergence. Additional filters (e.g., momentum and slope thresholds) are used to validate only strong divergences.
🔧 Input Parameters: RSI Length: The RSI period (default: 14). RSI Divergence Length: The lookback period for regression (default: 25). Source: Which price data to calculate RSI from (default: close). Display Labels: Show/hide “Bullish” or “Bearish” labels on the chart. Display Line Width: Adjusts how thick the plotted divergence lines appear.
📣 Alerts: Alerts are built-in for both RSI Buy (bullish divergence) and RSI Sell (bearish divergence) so you can use it in automation or notifications.
🚀 Personal Note: I’ve been using this script daily in my own trading, which is why I took time to improve both the logic and visual clarity. If you want a divergence tool that doesn't clutter your chart but gives strong signals, this might be what you're looking for.
📊 RSI Multi-Timeframe Dashboard by giua64)### Summary
This is an advanced dashboard that provides a comprehensive overview of market strength and momentum, based on the Relative Strength Index (RSI) analyzed across 6 different timeframes simultaneously (from 5 minutes to the daily chart).
The purpose of this script is to offer traders an immediate and easy-to-read summary of market conditions, helping to identify the prevailing trend direction, overbought/oversold levels, and potential reversals through divergence detection. All of this is available in a single panel, eliminating the need to switch timeframes on your main chart.
### Key Features
* **Multi-Timeframe Analysis:** Simultaneously monitors the 5m, 15m, 30m, 1H, 4H, and Daily timeframes.
* **Scoring System:** Each timeframe is assigned a score based on multiple RSI conditions (e.g., above/below 50, overbought/oversold status, direction) to quantify bullish or bearish strength.
* **Aggregated Signal:** The dashboard calculates a total percentage score and provides a clear summary signal: **LONG**, **SHORT**, or **WAIT**.
* **Divergence Detection:** Automatically identifies Bullish and Bearish divergences between price and RSI for each timeframe.
* **Non-Repainting Option:** In the settings, you can choose to base calculations on the close of the previous candle (`Use RSI on Closed Candle`). This ensures that past signals (like status and score) do not change, providing more reliable data for analysis.
* **Fully Customizable:** Users can modify the RSI period, overbought/oversold thresholds, divergence detection settings, and the appearance of the table.
### How to Read the Dashboard
The table consists of 6 columns, each providing specific information:
* **% (Total Score):**
* **Header:** Shows the overall strength as a percentage. A positive value indicates bullish momentum, while a negative value indicates bearish momentum. The background color changes based on intensity.
* **Rows:** Displays the numerical score for the individual timeframe.
* **RSI:**
* **Header:** The background color indicates the average of all RSI values. Green if the average is > 50, Red if < 50.
* **Rows:** Shows the real-time RSI value for that timeframe.
* **Signal (Status):**
* **Header:** This is the final operational signal. It turns **🟢 LONG** when bullish strength is high, **🔴 SHORT** when bearish strength is high, and **⚪ WAIT** in neutral conditions.
* **Rows:** Describes the RSI status for that timeframe (e.g., Bullish, Bearish, Overbought, Oversold).
* **Dir (Direction):**
* **Header:** Displays an arrow representing the majority direction across all timeframes.
* **Rows:** Shows the instantaneous direction of the RSI (↗️ for rising, ↘️ for falling).
* **Diverg (Divergence):**
* Indicates if a bullish (`🟢 Bull`) or bearish (`🔴 Bear`) divergence has been detected on that timeframe.
* **TF (Timeframe):**
* Indicates the reference timeframe for that row.
### Advantages and Practical Use
This tool was created to solve a common problem: the need to analyze multiple charts to understand the bigger picture. With this dashboard, you can:
1. **Confirm a Trend:** A predominance of green and a "LONG" signal provides strong confirmation of bullish sentiment.
2. **Identify Weakness:** Red signals on higher timeframes can warn of an impending loss of momentum.
3. **Spot Turning Points:** A divergence on a major timeframe can signal an excellent reversal opportunity.
### Originality and Acknowledgements
This script is an original work, written from scratch by giua64. The idea was to create a comprehensive and visually intuitive tool for RSI analysis.
Any feedback, comments, or suggestions to improve the script are welcome!
**Disclaimer:** This is a technical analysis tool and should not be considered financial advice. Always do your own research and backtest any tool before using it in a live trading environment.
KDJKDJ 指标是一种动量类技术指标,用于衡量市场的超买和超卖状态。它由三条线组成:
K线:反映当前价格相对于近期价格区间的位置;
D线:K线的平滑值;
J线:K与D的加权差值,用于增强动量信号。
当 J 线向上突破 D 线,常被视为买入信号;当 J 线向下跌破 D 线,则常被视为卖出信号。
该指标在震荡行情中较为有效,搭配其他趋势指标可提高可靠性。
KDJ Indicator is a momentum-based technical indicator used to assess overbought and oversold conditions in the market. It consists of three lines:
K Line: Shows the relative position of the current price within a recent high-low range.
D Line: A smoothed version of the K line.
J Line: An amplified difference between the K and D lines to highlight momentum.
When the J line crosses above the D line, it is typically considered a bullish (buy) signal; when it crosses below, it's seen as bearish (sell) signal.
This indicator performs well in ranging markets and can be more reliable when combined with trend-following indicators.
Lux Qari AI Pro Master – By Rifaat QariFeature Details
✅ Smart Buy/Sell Signals Supported by trend, genuine breakouts, strong candles, and false signal filtering
✅ Dynamic Support/Resistance Automatically updated daily — displayed in a table
✅ Automatic TP/SL Automatically shown for each trade based on ATR and market range
✅ Golden Entry Zones "Golden Entries" when the market offers the best possible opportunity
✅ Real-Time Trend Analysis Filter based on immediate trend changes
✅ Sound + Message Alerts For every signal
✅ Live Dashboard Shows real-time win rate
✅ Powerful Hidden Indicators QQE + RSI + EMA + ATR applied logically — without visual clutter
✅ Daily Updated Table Displays all today's signals in a clear table
Reversão Sobrevenda/Sobrecompra com ExaustãoPrice Touches/Exceeds Lower Bollinger Band: Indicates oversold conditions.
Oversold RSI and/or Divergence: RSI below 30 (strong) or bullish divergence (price makes lower low, RSI makes higher low).
Decreasing Volume: Selling volume decreases as price hits the lower band and RSI becomes oversold, suggesting selling pressure is ending.
Bullish Reversal Candlestick: Formation of a bullish reversal candlestick pattern near the lower band (e.g., Hammer, Bullish Engulfing, Piercing Pattern).
Sell Signal (Bearish Reversal):
Price Touches/Exceeds Upper Bollinger Band: Indicates overbought conditions.
Overbought RSI and/or Divergence: RSI above 70 (strong) or bearish divergence (price makes higher high, RSI makes lower high).
Decreasing Volume: Buying volume decreases as the price reaches the upper band and the RSI becomes overbought, suggesting that buying pressure is ending.
Bearish Reversal Candlestick: Formation of a bearish reversal candlestick pattern near the upper band (Ex: Shooting Star, Bearish Engulfing, Dark Cloud).
Hidden Markov ModelDescription
This model uses a Hidden Markov Model to detect potential tops and bottoms. It is designed to probabilistically identify market regime changes and predict potential reversal point using a forward algorithm to calculate the probability of a state.
State 0: (Normal Trading): Market continuation patterns, balanced buying/selling
State 1: (Top Formation): Exhaustion patterns at price highs
State 2: (Bottom Formation): Capitulation patterns at price lows
Background: The HMM assumes that market behavior follows hidden states that aren't directly observable, but can be inferred from observable market data (emissions). The model uses a (somewhat simplified) Bayesian inference to estimate these probabilities.
How to use
1) Identify the trend (you can also use it counter-trend)
2) For longing, look for a green arrow. The probability values should be red. For shorting, look for a red arrow. The probability values should be green
3) For added confluence, look for high probability values
RSI OB/OS Alert Indicator[CongTrader]📋 Description:
🔎 Overview
The RSI OB/OS Alert Indicator is a simple yet powerful tool that helps traders identify overbought and oversold zones using the widely-known Relative Strength Index (RSI). Whenever RSI crosses into custom-defined thresholds, the indicator highlights the chart background and triggers alerts, making it easier to time entries or exits.
⚙️ Key Features
Customizable RSI length, Overbought, and Oversold levels
Clear visual markers for RSI values and threshold lines
Background color zones for quick visual recognition
Built-in alert conditions to notify you in real-time
Clean, minimalist design suitable for any asset class
🧠 How to Use
Add the indicator to your chart (supports crypto, forex, stocks, etc.)
Adjust the RSI period and OB/OS levels to match your strategy
Watch for red background = overbought, green background = oversold
Enable alerts to receive real-time notifications when RSI crosses levels
💼 Best For
Intraday and swing traders
Scalpers and longer-term investors
All asset types (Crypto, Forex, Stocks, Indices)
🛡️ Disclaimer
⚠️ This indicator is for informational and educational purposes only. It does not constitute financial advice. Trading involves risk, and users should conduct their own analysis before making any financial decisions. The author is not responsible for any financial loss.
🙏 Credits & Thank You
Thank you for using the RSI OB/OS Alert Indicator by CongTrader.
If you find it helpful, please like ❤️, share, or follow me for more quality tools and indicators to level up your trading game! #RSI #Overbought #Oversold #RSIAlert #CongTrader #TradingIndicator #CryptoRSI #ForexIndicator #StockTrading #TechnicalAnalysis #TradingView