Stochastique Divergences IndicatorHello,
I made a custom indicator.
Divergences with stochastique and price are really strong signals.
About the indicator
A bullish divergence happens when the stoch K makes a higher low and is depicted by a green triangle up.
A bearish divergence happens when the stoch K makes a lower high and is depicted by a red triangle down.
This script is the base for my next strategy that I should upload soon.
I will grant access (to this script and my others) to people willing to make a small donation.
Here is my BTC address : 19sVQvCDmVfEACq7BiMnWSMqFPZ8qfSQ2K
If you prefer ETH : 0xc8a5d3a63a05db0c2363ea1c08b37a01cce9ebfb
Send me a Private Message with the ID of the transaction
If you want to do some forward testing first, send me a message.
Also check blockchainfiesta.com
Recherche dans les scripts pour "bear"
wTF50This is a customized trend filter that has several uses:
It helps identify trend direction, either bullish or bearish
It distinguishes between a pullback and a trend reversal
It helps identify areas where traders should stand aside
It highlights areas of consolidation
dTF50This is a customized trend filter that has several uses:
It helps identify trend direction, either bullish or bearish
It distinguishes between a pullback and a trend reversal
It helps identify areas where traders should stand aside
It highlights areas of consolidation
OBV divergence hidden and regular on both bearish and bullish.OBV (on balance volume) divergence indicator with hidden and regular signal on both bearish and bullish.
CMYK VRMI◊ Introduction
This script indicates the relative movement of price x volume.
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother. The input has been changed to the change of a smoothed close multiplied by a smoothed volume.
The polarity of VRMI indicates bearish/bullish movement.
◊ Adjustments
CMYK color theme applied.
◊ Usage
VRMI indicates the force the market moves with.
◊ Future Prospects
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CMYK VRMI RAYS ◊ Introduction
Introducing VRMI in this script, an RMI based on price movement and volume, to indicate bullish and bearish trends.
This script marks the background depending on RMI <> VRMI , VRMI polarity and large buy/sell sprees.
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
In addition VRMI reacts quick, it is used to cut off latency from RMI, and it's polarity indicates the beginning and end of a trend.
Large buy sell sprees and detected in their proportion with an sma on the volume
◊ Adjustments
CMYK color theme applied.
◊ Usage
This indicator can be used to detect trends and mark reversals.
◊ Prospects
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Bullish and Bearish Engulfing Patterns auto detectionThis simple indicator detects automatically most important bullish and bearish candlestick patterns formations. Used to locate potential supply and demand imbalances.
Copyright 2017 Alfonso Moreno www.set-and-forget.com
Super Envolvente (Bullish y Bearish)Identificador de Super-envolventes (SE), se encarga de darle un color verde a la SE alzista (Bullish) verde y rojo a la bajista (Bearish).
Bears VS BullsThis indicator will work on ANY instrument.
The red line is a moving average of ONLY sellers in the market.
The blue line is a moving average of ONLY buyers in the market.
The period or "length" of the individual moving averages can be adjusted in the indicator settings.
The default, it is set to 50.
Buying and selling trends often provide indications of market moves such as the most recent bottom in Cryptocurrencies.
Feel free to comment and share any indicator concepts or ideas for content you would like to see added to the Technical Indicator Bundle on www.kenzing.com
Bearish Trailing stopIt is a trailing SL. Works very well. Good good very good. Looks like my description needs more, so here is more random text.
bearish Price Below PDL - Complete Multi-Confirmation Alert🎯 KEY IMPROVEMENTS:
1. Enhanced Alert Visibility:$jmoskyhigh
✅ HUGE triangle down marker with "SELL" text
✅ Alert title: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED"
✅ Prominent info panel with red theme
✅ Clear "SELL ALERT: TRIGGERED" status
2. Better Visual Feedback:
Red frame around info panel
Larger shapes and markers
Color-coded confirmations (green = OK, red = FAIL)
Progress percentage displayed
Breakdown price label
3. Complete Alert System:
Main Alert: "SELL SIGNAL - PDL BREAKDOWN CONFIRMED"
Early Warning: "PDL Breakdown Started - Monitoring"
Reset Alert: "Confirmation Lost - Breakdown Reset"
Bearish signal using Point of Control (POC) with PAC by guruThis indicator code helps traders identify potential sell opportunities using several important technical indicators:
Point of Control (POC) – This is the price level where the most volume was traded over the past several days.
Previous Day's Low – This shows the lowest price reached during the previous day.
PAC (Price Action Channel) EMA – These are two moving averages (one based on the low price and one based on the close price) that help determine if the price is trending within a certain range.
Volume SMA – This is a 3-day simple moving average (SMA) of volume, which helps filter out signals based on market activity.
What the Script Does:
Point of Control (POC):
The script looks at the last 50 days (configurable) and calculates which price level had the highest trading volume.
It then plots a red line on the chart at the POC level. This is important because it helps identify areas where there was strong market interest in the past.
Volume Moving Average:
The script calculates a 3-day SMA of volume, but it excludes the current day to avoid premature signals based on today’s trading.
The volume SMA is used to ensure there’s enough market activity (with a threshold set to 25 units) before triggering a sell signal.
Price Action Channel (PAC) EMA:
The PAC consists of two exponential moving averages (EMAs):
The PAC Low EMA: This is based on the low prices over the last 34 periods (configurable).
The PAC Close EMA: This is based on the closing prices over the last 34 periods.
These EMAs help determine if the price is trending above or below certain price levels.
Sell Signal Logic: The script checks three conditions before displaying a "Sell" signal:
Price Below POC and Previous Day’s Low:
The close price must be below both the Point of Control (POC) and the previous day's low.
Volume SMA Above 25:
The 3-day volume SMA must be greater than 25. This ensures the signal only triggers when there’s enough trading volume in the market.
Today’s Low is Above PAC EMAs:
Today's low price must be above both the PAC low EMA and the PAC close EMA. This prevents sell signals when prices are already significantly below the PAC, indicating possible exhaustion in the downtrend.
If all three conditions are met, the script will display a red "Sell" label on the chart, signaling a potential selling opportunity.
No Sell Signal if Price Reverses:
If the price crosses back above the POC or the previous day's low, the script will remove the sell signal and reset for a new opportunity.
Summary of Conditions:
For the script to display a "Sell" label:
The close price must be below the Point of Control (POC) and the previous day’s low.
The 3-day volume SMA (excluding today) must be greater than 25 units.
The low price of the current day must be above both the PAC low EMA and the PAC close EMA.
If these conditions are met, a red sell label appears on the chart as a potential signal for a short (sell) trade.
Bearish FS Continuation S1BB - baby bar / inside bar
DF - downflow, meaning 20MA below 50MA
EXE - execution bar, indicator to short
Mainly to identify execution bar for shorting using inside bar identification and force top
Guneet-ScalperBearish trend candle color change to red with sell print
Bullish trend candle color change to green with buy print
thanks
jas toor
SMC IRONCORE Contact: t.me
📌 SMC IRONCORE™ — Smart Money Concepts PRO
SMC IRONCORE™ is an advanced Smart Money Concepts (SMC) indicator designed for traders who focus on market structure, institutional liquidity, and high-probability zones, without cluttering the chart or relying on automated buy/sell signals.
The script combines real market structure, order flow, liquidity, order blocks, FVG, SFP, and key multi-timeframe levels, using an optimized and configurable logic.
🧠 Market Structure
CHoCH and BOS (confirmed and anticipated)
HH / HL / LH / LL (strong & weak)
Internal and external trend detection
Build Sweeps on BOS and CHoCH
Configurable bubbles and labels
Optimized calculation window for performance
📦 Volumetric Order Blocks
Bullish and bearish Order Blocks
Mitigation by Close / Wick / Average
Breaker Order Blocks
Volume metrics per OB
OB mid-line
Smart overlap filtering
Internal Buy/Sell activity visualization
⚡ Fair Value Gaps (FVG)
Bullish and bearish FVGs
Breaker FVGs
Touch and mitigation detection
Automatic overlap management
Integrated with structure and liquidity
🎯 Liquidity Concepts
Buy-side & Sell-side liquidity
Sweep areas and liquidation zones
Liquidity Prints (institutional style)
Equal Highs / Equal Lows (EQH / EQL) with ATR-based tolerance
Zones displayed as areas or lines, depending on preference
🧲 Swing Failure Pattern (SFP) – Institutional Style
Bullish and bearish SFPs
Swing lines, wick lines, and confirmation lines
Labels and confirmation triangles
Logic based on real swings (no repaint)
🗓️ Multi-Timeframe Highs & Lows
Daily High / Low
Weekly
Monthly
Quarterly
Yearly
Customizable styles and colors
🚨 Alert System
Individual and specific alerts (no generic “Any alert”):
CHoCH
BOS
Sweeps
OB Touch
OB Break / Breaker
Liquidity Print
Separate bullish and bearish events
Designed for TradingView alerts and external automation.
⚙️ Design & Philosophy
Not a simple “buy/sell” signal indicator
Built for context, confirmation, and professional execution
Clean, modular, and highly configurable visuals
No repaint on key signals
Optimized for both lower and higher timeframes
Relative Valuation Oscillator [QuantAlgo]🟢 Overview
The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets.
🟢 How It Works
The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation:
log_price = math.log(close)
mean_log_price = ta.sma(log_price, lookback_period)
standard_deviation = ta.stdev(log_price, lookback_period)
valuation_score = (log_price - mean_log_price) / standard_deviation
First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes.
Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference:
mean_log_price = ta.sma(log_price, lookback_period)
Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior:
standard_deviation = ta.stdev(log_price, lookback_period)
The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero:
valuation_score = (log_price - mean_log_price) / standard_deviation
Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples:
is_overvalued = valuation_score > threshold_mult
is_undervalued = valuation_score < -threshold_mult
This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation.
🟢 Signal Interpretation
▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies
▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities
▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold.
▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions.
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers.
▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
GK Trend Ribbon SWING + PREPARE HUD
GK Trend Ribbon SWING + PREPARE HUD
Is a trend-following swing-trading indicator designed to identify high-probability directional bias, early trade preparation, and confirmed trend shifts using a volatility-adjusted zero-lag trend ribbon. This script is purpose-built for traders who value patience, structure, and confirmation, rather than fast scalping or candle-by-candle noise.
HOW IT WORKS
indicator is built around a Zero-Lag EMA (ZLEMA) to reduce traditional EMA delay while maintaining smooth trend behaviour. An ATR-based volatility envelope is applied above and below the ribbon to define dynamic trend boundaries. Trend states are determined as follows: Bullish mode: Price sustains above the upper volatility band with confirmation Bearish mode: Price sustains below the lower volatility band with confirmation Neutral mode: Price remains inside the ribbon range A trend change is only confirmed after multiple bar confirmation, helping filter false breakouts and market noise.
PREPARE SIGNALS
(Early Awareness)Before a confirmed trend flip, the indicator displays PREPARE GK BUY / PREPARE GK SELL warnings: These appear only on the live (unconfirmed) candle They act as early awareness, not entry signals They disappear if conditions are not confirmed This allows traders to prepare mentally and structurally without repainting past signals. Confirmed Signals Confirmed GK BUY / GK SELL signals are only printed after bar close and only when: A valid trend transition is confirmed Directional conditions persist The previous trend state is invalidated Once printed, confirmed signals do not repaint.
HUD BANNER
The integrated HUD provides real-time market state feedback: Bullish Mode Bearish Mode Neutral / Wait Prepare Buy / Sell warnings This allows quick decision-making without needing to interpret raw price action continuously. Inputs & Customisation Swing Ribbon Length – controls trend smoothness (higher = slower, stronger trends)ATR Length – volatility measurement period Band Multiplier – sensitivity of trend boundaries Confirmation Bars – number of bars required to confirm a trend shift.
RECOMENDED USEGE
Best suited for 15-minute, 30-minute, and higher time frames Designed for swing trading, not scalping Expect natural drawdown during trend development Works best when combined with proper risk management and market structure awareness
Important Notes This indicator does not predict price It reacts to confirmed market structure and volatility No indicator guarantees profitability Always use appropriate risk management Disclaimer This script is provided for educational and analytical purposes only .It is not financial advice .Trading involves risk, and users are responsible for their own trading decisions.
9:30 Open + Full Quadrants (Last 5 Days)9:30 Open + Full Quadrants (Last 5 Days) is a session-based intraday indicator designed to map the true price distribution of the New York cash open.
The script captures the 9:30 AM (New York time) opening price and calculates the full range (high & low) formed between 9:30 and 10:30 AM, then divides that range into five key levels:
0% – Session Low
25% – Lower Quartile
50% – Midpoint (Equilibrium)
75% – Upper Quartile
100% – Session High
if you are bullish watch for key PDA to form around quadrants levels and use that with the narrative to trade higher
inverse for bearish scenario
ive been backtesting this looks interesting especially for scalps
Ghost Candles (Pattern Matching)project future price action. Unlike standard indicators that lag, this script attempts to look forward by finding historically similar price patterns and projecting them as "Ghost Candles."
Key Features:
🕯️ Ghost Candles (Pattern Matching): The script scans up to 5,000 bars of history to find price patterns that match the current market structure (Correlation > 80%). It then projects the historical outcome onto the current chart as "Ghost Candles," giving you a visual roadmap of potential future moves (Open, High, Low, Close).
🌊 Regime Detection (FDI): Uses the Fractal Dimension Index (FDI) to determine if the market is Trending or Choppy.
Green Background: Trending Market (Safe to follow breakouts).
Red Background: Choppy/Ranging Market (Expect fakeouts).
📊 Hurst Exponent: Measures the "memory" of the market to confirm trend persistence.
💎 Fractal Levels: Automatically plots Williams Fractal Support & Resistance levels to identify key breakout or reversal zones.
How to Use:
Ghost Candles: Look for the translucent candles extending to the right of the current price.
Green Ghost: Probability of a bullish move based on history.
Red Ghost: Probability of a bearish move.
Note: The "Pattern Match %" label tells you how similar the current setup is to the historical one. Higher % = Stronger match.
Background Color:
Trade with the trend when the background is Green.
Be cautious or trade mean reversion when the background is Red.
Support/Resistance: Use the horizontal lines as targets or stop-loss levels.
Settings:
History Scan Window: How far back to search for matches (Default: 2000 bars).
Similarity Threshold: Minimum correlation required to show a projection (Default: 0.80 or 80%).
Prediction Length: Number of "Ghost Candles" to project (Default: 10).
Disclaimer: This tool is for educational purposes and analyzes historical probabilities. Past performance is not indicative of future results. Always use risk management.






















