HVMTRIGGERS
This uses INTRADAY price action to find triggers where retail traders are trapped and milked for liquidity
Indikatoren und Strategien
SMC_Momentum_Signal## SMC Structure & Momentum Strategy
This indicator is a comprehensive trading tool built on Pine Script v5, utilizing Smart Money Concepts (SMC) combined with trend momentum filters.
### Key Features:
* **Primary Signal (Structure Break):** Identifies potential points of interest based on structural changes (pivots), often associated with Order Blocks or Breaker Blocks.
* **Momentum & Trend Filter:** Uses an 8/21 EMA crossover to define the current trend direction and momentum strength, helping filter out low-probability signals.
* **Dynamic Support/Resistance Zones:** Automatically plots and updates accumulation/distribution zones (Support/Resistance) based on configurable volume lookback periods.
* **Automated Risk Management:** Calculates and plots fixed Take Profit (TP) and Stop Loss (SL) lines automatically upon entry, based on a user-defined **Risk:Reward Ratio** and volatility (ATR multiplier).
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**DISCLAIMER:** This tool is intended for educational purposes only. It is not financial advice, and the user should always practice proper risk management. Past performance is not indicative of future results.
Supply & Demand MTF x3 (Input TF)📦 Supply & Demand MTF x3 (Input TF)
Supply & Demand MTF x3 is a clean and powerful indicator designed to automatically detect and display Supply and Demand zones across multiple timeframes directly on your chart.
It focuses on clarity, flexibility, and control, allowing traders to visualize higher-timeframe institutional zones while trading on any lower timeframe.
🚀 Key Features
✅ Up to 3 independent timeframes
✅ Automatic Supply & Demand zone detection
✅ Swing-based logic (pivot highs & lows)
✅ Non-repainting zones
✅ Automatic zone invalidation
✅ Maximum zone control (keep charts clean)
✅ Fully customizable colors, borders, and visibility
✅ Works on any market and timeframe
🧠 How It Works
The indicator identifies Supply and Demand zones using pivot highs and pivot lows:
Supply Zone
Created from a pivot high
Represents areas where selling pressure previously dominated
Demand Zone
Created from a pivot low
Represents areas where buying pressure previously dominated
Each zone:
Starts at the candle where the swing is confirmed
Extends automatically to the current bar
Is deleted immediately once price invalidates it:
Supply → price closes above the zone
Demand → price closes below the zone
This ensures that only valid and active zones remain on the chart.
⏱ Multi-Timeframe Logic (MTF x3)
You can enable up to 3 different timeframes, each with its own settings.
For example:
TF1 → 15m (execution zones)
TF2 → 1H (intraday structure)
TF3 → 4H / Daily (institutional zones)
Each timeframe is processed independently and displayed on your current chart.
⚙️ Common Settings
These settings apply to all timeframes:
▸ Swing Left / Right Bars
Defines how many candles are used to confirm a swing high or low.
Higher values → stronger, more reliable zones
Lower values → more frequent zones
▸ Minimum Zone Size (%)
Filters out very small zones.
Helps remove noise
Keeps only meaningful price areas
▸ Max Supply / Demand Zones
Limits how many zones can be displayed at the same time.
Oldest zones are removed first
Keeps the chart clean and readable
⏱ Timeframe Settings (TF1 / TF2 / TF3)
Each timeframe has its own dedicated section.
▸ Timeframe
Choose the timeframe used to calculate zones (e.g. 15, 60, 240).
▸ Show Supply / Demand
Enable or disable Supply or Demand zones individually.
▸ Colors
Fully customizable:
Supply fill & border
Demand fill & border
▸ Border Width
Adjust zone visibility based on your chart style.
🎯 Best Use Cases
This indicator works best when used as:
🔹 HTF Supply & Demand map
🔹 Confluence tool for entries
🔹 Support & resistance replacement
🔹 Scalping, intraday, or swing trading
Combine it with:
Market structure
Liquidity concepts
Price action confirmations
Trend filters
🧼 Clean by Design
No repainting
No future leak
No over-drawing
No unnecessary calculations
Only validated zones that matter stay on your chart.
⚠️ Important Notes
Zones are not trade signals
They represent areas of interest, not guaranteed reversals
Always use proper confirmation and risk management
🧩 Summary
Supply & Demand MTF x3 gives you:
✔ Multi-timeframe perspective
✔ Maximum customization
✔ Clean charts
KCP RSI Ultra PRO [Dr. K. C. Prakash]Indicator Name:
KCP RSI Ultra PRO
Description:
KCP RSI Ultra PRO is a professional-grade, noise-free RSI momentum indicator designed to deliver high-probability BUY and SELL signals by aligning momentum with the primary market trend. Unlike traditional RSI indicators that rely only on overbought and oversold levels, this indicator uses smart RSI zones (40–60) combined with a 200-period Exponential Moving Average (EMA) to filter false signals and sideways market noise.
The indicator generates signals only when:
Price direction aligns with the EMA-200 trend
RSI confirms momentum through zone crossover
RSI slope validates strength (rising for BUY, falling for SELL)
This disciplined approach helps traders avoid emotional entries and focus on trend-supported momentum trades.
Key Features:
Trend-filtered RSI logic
Clean and minimal visual design
Reduced false signals
Suitable for intraday and swing trading
Works across stocks, indices, commodities, crypto, and forex
Best Used For:
Trend-following strategies in trending market conditions.
Developed by:
Dr. K. C. Prakash
7-13 Sequential CounterThis indicator displays a sequential count (7-13) setup phase. It tracks consecutive bars where the close is lower than the close 4 bars ago (bullish/buy count, labeled below bars) or higher (bearish/sell count, labeled above bars), resetting on interruption or after 13. Toggle individual numbers (I personally use 7,9,13) and customize bullish/bearish label colors to spot potential trend exhaustion and reversal points.
SuperTrend AI + PVSRA Full DashboardOPERATIONAL MANUAL: SuperTrend AI + PVSRA (4H Timeframe)
1. CORE STRATEGY OVERVIEW
The 4H timeframe is the "Institutional Standard." This strategy combines K-Means AI Clustering for trend detection with PVSRA (Price, Volume, Spread, Range Analysis) to identify bank maneuvers.
The goal is to enter trades only when AI trend, Institutional Volume, and Moving Average momentum align perfectly.
2. OPTIMAL 4H CONFIGURATION
AI Performance Memory: 15 to 20 (Provides trend stability against 4H noise).
Factor Range: 1.5 - 5.0 (Allows AI to scale during massive BTC/Crypto cycles).
PVSRA Climax Factor: 2.7 (The filter for significant institutional intervention).
SMA 200 (Institutional): Always active; serves as the ultimate "Bull/Bear" boundary.
3. ENTRY PROTOCOLS: "SUPER CONFLUENCE"
Entries are strictly executed upon the appearance of the SUPER CONFLUENCE label.
A. LONG SETUP (BUY)
AI Trend: The AI Trailing Stop line must be Teal (Bullish).
PVSRA Volume: A Green (Climax) or Blue (Rising) candle must be present.
The Trigger: A "SUPER CONFLUENCE BUY" tag appears (signaling a SMA 20 / AI Line crossover).
Confirmation: Higher probability if the Dashboard shows "Trend 200: ABOVE".
B. SHORT SETUP (SELL)
AI Trend: The AI Trailing Stop line must be Magenta/Red (Bearish).
PVSRA Volume: A Purple (Climax) or Orange (Rising) candle must be present.
The Trigger: A "SUPER CONFLUENCE SELL" tag appears.
Confirmation: Higher probability if the Dashboard shows "Trend 200: BELOW".
4. RISK & TRADE MANAGEMENT
ACTION 4H TIME-BASED RULE
Stop Loss Place SL behind the most recent PVSRA Climax candle wick or the AI Line.
Take Profit 1 Exit 50% at the nearest S/R Level (Red/Blue rectangles) or 1:1.5 RR.
Trailing Stop Trail the Dynamic SMA 20. Exit if the SMA 20 changes color against you.
Exit Signal Immediate exit if a Climax volume of the opposite color appears at a key level
for Me the best settings but You experiment and find yours;
ATR lenght AI :10
Factor range min 2 max 5
Step 1
Perfor.Mem.10
Source : Best
Volume Period 10
Climax 2.5
Multiplier Rising 1.5
Thank you all and happy trading
Filtered Percentile OscillatorThe Filtered Percentile Oscillator is a new trend following tool that uses trend strength for filtering. Noisy at times - but do not underrate it, this tool has great potential. :)
Benefits:
- Very high speed
- Adaptive behaviour filtering excess noise
- High performance on CRYPTO:SUIUSD
- Plotting for better visualization
The Idea
Get a simple indicator that is combined with trend strength for filtering. The best for this was the Percentile. I used it on the classic source to keep it simple, but if anybody wants feel free to change it with/without ChatGPT.
How it works:
Calculate the Percentile of the source.
Calculate the ADX & the Percentile of ADX.
Then we have two filter conditions:
If ADX Percentile+ Absolute Percentile of source > Sum Filter Treshhold is not true, both the Long & Short conditions are automaticly false.
If ADX Percentile > Filter Treshhold it will make the treshholds for the Percentile lower, while if it is below the filter treshhold, it will put the treshholds higher to filter excess noise further.
Enjoy Gs!
Smart S&D v1.0 [Breaker Blocks]Automatically marks off supply and demand zones based on previous and consequent candles.
Previous and consequent candles can be changed.
Recommend 5:3 for 15m, or 7:5 for 10m
ATR default 1
Volume confirmation off by default but there as an option
The number on bars is the number of times price has bounced off the zone. After 3 bounces (this can be changed/personalized in settings) the zone is exhausted and removed.
If price breaks through a zone, it becomes a breaker zone, flipping supply to demand, or demand to supply. Ideal for a break and retest setup.
Bollinger Bands (Locked: EMA100, 3.5) + 33.33% LinesThis indicator is a locked Bollinger Band system designed around a long-term volatility envelope. It uses an EMA(100) as the central “basis” line and builds the upper and lower bands at 3.5 standard deviations from the basis, creating a wide channel that highlights extreme price expansion rather than frequent mean-reversion touches. In addition to the standard bands, the script plots two intermediate guide lines located at 33.33% of the distance from the basis toward the upper and lower bands. These 1/3-zone lines help visually segment the band into core, mid, and extreme areas, making it easier to judge how far price has stretched relative to the EMA and current volatility. Traders can use the basis as a trend reference, the 33.33% lines as “early extension” or pullback checkpoints, and the outer bands as high-stretch boundaries for risk management, scaling, and contextual decision-making on intraday charts.
Cumulative Volume Delta (CVD) Suite [QuantAlgo]🟢 Overview
The Cumulative Volume Delta (CVD) Suite is a comprehensive toolkit that tracks the net difference between buying and selling pressure over time, helping traders identify significant accumulation/distribution patterns, spot divergences with price action, and confirm trend strength. By visualizing the running balance of volume flow, this indicator reveals underlying market sentiment that often precedes significant price movements.
🟢 How It Works
The indicator begins by determining the optimal timeframe for delta calculation. When auto-select is enabled, it automatically chooses a lower timeframe based on your chart period, e.g., using 1-second bars for minute charts, 5-second bars for 5-minute charts, and progressively larger intervals for higher timeframes. This granular approach captures volume flow dynamics that might be missed at the chart level.
Once the timeframe is established, the indicator calculates volume delta for each bar using directional classification:
getDelta() =>
close > open ? volume : close < open ? -volume : 0
When a bar closes higher than it opens (bullish candle), the entire volume is counted as positive delta representing buying pressure. Conversely, when a bar closes lower than its open (bearish candle), volume becomes negative delta representing selling pressure. This classification is applied to every bar in the selected lower timeframe, then aggregated upward to construct the delta for each chart bar:
array deltaValues = request.security_lower_tf(syminfo.tickerid, lowerTimeframe, getDelta())
float barDelta = 0.0
if array.size(deltaValues) > 0
for i = 0 to array.size(deltaValues) - 1
barDelta := barDelta + array.get(deltaValues, i)
This aggregation process sums all the individual delta values from the lower timeframe bars that comprise each chart bar, capturing the complete volume flow activity within that period. The resulting bar delta then feeds into the various display calculations:
rawCVD = ta.cum(barDelta) // Cumulative sum from chart start
smoothCVD = ta.sma(rawCVD, smoothingLength) // Smoothed for noise reduction
rollingCVD = math.sum(barDelta, rollingLength) // Rolling window calculation
Note: This directional bar approach differs from exchange-level orderflow CVD, which uses tick data to separate aggressive buy orders (executed at the ask price) from aggressive sell orders (executed at the bid price). While this method provides a volume flow approximation rather than pure tape-reading precision, it offers a practical and accessible way to analyze buying and selling dynamics across all timeframes and instruments without requiring specialized data feeds on TradingView.
🟢 Key Features
The indicator offers five distinct visualization modes, each designed to reveal different aspects of volume flow dynamics and cater to various trading strategies and market conditions.
1. Oscillator (Raw): Displays the true cumulative volume delta from the beginning of chart history, accompanied by an EMA signal line that helps identify trend direction and momentum shifts. When CVD crosses above the signal line, it indicates strengthening buying pressure; crosses below suggest increasing selling pressure. This mode is particularly valuable for spotting long-term accumulation/distribution phases and identifying divergences where CVD makes new highs/lows while price fails to confirm, often signaling potential reversals.
2. Oscillator (Smooth): Applies a simple moving average to the raw CVD to filter out noise while preserving the underlying trend structure, creating smoother signal line crossovers. Use this when trading trending instruments where you need confirmation of genuine volume-backed moves versus temporary volatility spikes.
3. Oscillator (Rolling): Calculates cumulative delta over only the most recent N bars (configurable window length), effectively resetting the baseline and removing the influence of distant historical data. This approach focuses exclusively on current market dynamics, making it highly responsive to recent shifts in volume pressure and particularly useful in markets that have undergone regime changes or structural shifts. This mode can be beneficial for traders when they want to analyze "what's happening now" without legacy bias from months or years of prior data affecting the readings.
4. Histogram: Renders the per-bar volume delta as individual histogram bars rather than cumulative values, showing the immediate buying or selling pressure that occurred during each specific candle. Positive (green) bars indicate that bar closed higher than it opened with buying volume, while negative (red) bars show selling volume dominance. This mode excels at identifying sudden volume surges, exhaustion points where large delta bars fail to move price, and bar-by-bar absorption patterns where one side is aggressively consuming the other's volume.
5. Candles: Transforms CVD data into OHLC candlestick format, where each candle's open represents the CVD at the start of the bar and subsequent intra-bar delta changes create the high, low, and close values. This visualization reveals the internal volume flow dynamics within each time period, showing whether buying or selling pressure dominated throughout the bar's formation and exposing intra-bar reversals or sustained directional pressure. Use candle wicks and bodies to identify volume acceptance/rejection at specific CVD levels, similar to how price candles show acceptance/rejection at price levels.
▶ Built-in Alert System: Comprehensive alerts for all display modes including bullish/bearish momentum shifts (CVD crossing signal line), buying/selling pressure detection (histogram mode), and bullish/bearish CVD candle formations. Fully customizable with exchange and timeframe placeholders.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Ember, Neon) or create your own custom color schemes. Optional price bar coloring feature overlays CVD trend colors directly onto your main chart candles, providing instant visual confirmation of volume flow and making divergences immediately apparent. Optional info label with configurable position and size displays current CVD values, data source timeframe, and mode at a glance.
Squeeze ChannelSqueeze Channel
Volatility compression is one of the most reliable precursors to significant price movement. When markets consolidate, energy builds—like a coiled spring waiting to release. This indicator detects these compression phases using the classic squeeze methodology, then captures the consolidation range as a tradeable channel. The tighter the squeeze, the more potential energy stored for the eventual breakout.
What makes this approach effective is the combination of volatility-based timing with price structure. Rather than blindly trading every squeeze release, the indicator defines clear breakout levels based on the actual swing highs and lows formed during compression. This creates objective entry triggers while the squeeze intensity gradient (yellow → red) helps gauge the quality of the setup before committing.
How It Works
Squeeze Detection
The indicator identifies periods of volatility compression when Bollinger Bands contract inside Keltner Channels. A 5-color gradient (yellow → orange → red) visualizes squeeze intensity in real-time—the tighter the squeeze, the closer to red.
Channel Formation
When a squeeze begins, the indicator captures a swing high/low channel:
- Lookback : Grabs the highest high and lowest low over the past N bars
- Lookforward : Allows the channel to expand if price exceeds bounds in the first few bars
- Lock : Once the expansion window closes, the channel locks in place
The channel persists until price breaks out, regardless of whether the squeeze has ended.
Signal Types
Primary Signals
Bullish Breakout | 🔼 Teal Triangle | Close above channel high
Bearish Breakout | 🔽 Red Triangle | Close below channel low
Failed Breakout Reversals
When enabled, the indicator watches for failed breakouts—price breaks one direction then reverses through the opposite channel bound.
Bull Reversal | 💎 Cyan Diamond | Failed bear breakout, reclaims above
Bear Reversal | 💎 Magenta Diamond | Failed bull breakout, breaks below
Extended S/R Retest Signals
After a breakout, channel levels are stored as support/resistance for future retests. These levels remain invisible until price approaches within a user-defined ATR distance.
S/R Bull Breakout | 🔼 Faded Triangle | Breaks above extended resistance
S/R Bear Breakout | 🔽 Faded Triangle | Breaks below extended support
S/R Bull Reversal | 💎 Faded Diamond | Reclaims extended support
S/R Bear Reversal | 💎 Faded Diamond | Rejected at extended resistance
Settings
Squeeze Detection
- Bollinger Length (default: 12) — Shorter length = tighter bands, easier squeeze entry
- Bollinger Multiplier (default: 2.0)
- Keltner Length (default: 20)
- Keltner ATR Multiplier (default: 2.0) — Higher = wider channel, easier squeeze entry
Channel Settings
- Swing Lookback Bars (default: 5) — Bars to look back for initial channel
- Swing Lookforward Bars** (default: 3) — Bars to allow channel expansion
Reversal Detection
- Enable Failed Breakout Reversal — Toggle reversal signals on/off
- Reversal Watch Bars (default: 7) — How long to watch for failed breakout
Extended S/R
- Show Extended S/R Levels — Display historical channel levels
- Enable S/R Retest Signals — Toggle retest signals on/off
- Extended Level Bars (default: 50) — How long levels remain active
- S/R Signal Delay Bars (default: 5) — Delay before retest signals activate (filters noise)
- ATR Proximity Threshold (default: 1.0) — Distance for level visibility
- ATR Length (default: 14)
Visual Guide
- Colored dots = Active squeeze channel (gradient shows intensity)
- Fuchsia dots = Channel waiting for breakout (squeeze ended)
- Faded teal/red dots = Extended S/R levels (appear on proximity)
- Triangles = Breakout signals
- Diamonds = Reversal signals (failed breakouts)
AlgoYields - AAlgoYields A — Everyday Overlay for Clean, Actionable Context
Please follow — more indicators & ideas coming soon!
Equipped with alerts and customizable styles, this overlay is designed for daily use: attractive look for fast reads, low noise, high signal. It blends a few trusted tools into a single, elegant view so you can track trend, momentum, and breakouts without overcrowding.
What’s inside
Trading Session Backdrop
Quarter-tinted background (distinct color per quarter) for quick macro orientation; subtle week-to-week transparency shifts; CME pre-market, regular session, and post-market shading; weekends left clear.
Includes multiple curated color palettes. Ask if you want a custom theme.
EMA Cloud
A staircase of short EMAs for trend strength + two macro EMAs (defaults: 80 & 200). Macro EMAs auto-tint: blue when price is above, orange when below.
All lengths are user-configurable.
RSI-Derived Bar Colors
Contextual bar coloring by RSI level/zone to make strength/weakness instantly visible.
Comes with multiple palettes optimized for light/dark charts.
Price Channel & Breakouts
Select band source: Close (tight), HLC3 (medium), or High/Low (widest). Breakout dots print above/below bars and are color-coded by trend context:
Green : break below lower band in an uptrend (buy-the-dip candidates).
Yellow : break above upper band in an uptrend (potential exhaustion / quick scalp).
Orange : break below lower band in a downtrend (continuation shorts).
Red : break above upper band in a downtrend (fade-the-pop entries).
Buffer values can be tuned to reduce noise or enhance reactivity
How to use it
––––––––––
Bullish Breakdowns ( green dots) — often attractive dip-buys within uptrends.
Confirm with macro-EMA slope: steeper = stronger follow-through; flatting slope = take quicker profits and watch for potential rollover.
Bullish Breakouts ( yellow dots) — be selective. If RSI confirms strength, these can be solid for quick scalps; otherwise, beware “touch-and-fade” at the upper band.
Apply the same logic in reverse for shorts:
Bearish Breakouts ( red ) and Bearish Breakdowns ( orange ) favor short entries/continuations.
Inputs worth tweaking
EMA lengths (short stack + macro 80/200 defaults).
RSI bar-color palette (pick for light/dark themes).
Channel source (Close / HLC3 / High-Low) and breakout buffer.
Session/quarter palette selection.
Alerts
Choose from built-in signals (channel breaks, EMA crosses, significant RSI levels).
Notes & best practices
Backtest breakouts per asset/timeframe to tune buffers and TP/SL targets.
Use level + slope together: RSI/EMA levels flag conditions; slope confirms impulse/continuation.
Let the EMA cloud and macro EMAs set bias; use RSI bars and breakout dots for timing.
eBacktesting - Learning: BreakoutseBacktesting - Learning: Breakouts highlights ranges & breakout behaviors in a clean, visual way.
It automatically:
- Detects consolidation ranges (tight price action) and draws a range box
- Marks a breakout only when a candle CLOSES outside the range (no wick-only breakouts)
Adds a label on the breakout candle (↑ bullish breakout / ↓ bearish breakout)
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
Multi Cycles Slope-Fit System MLMulti Cycles Predictive System : A Slope-Adaptive Ensemble
Executive Summary:
The MCPS-Slope (Multi Cycles Slope-Fit System) represents a paradigm shift from static technical analysis to adaptive, probabilistic market modeling. Unlike traditional indicators that rely on a single algorithm with fixed settings, this system deploys a "Mixture of Experts" (MoE) ensemble comprising 13 distinct cycle and trend algorithms.
Using a Gradient-Based Memory (GBM) learning engine, the system dynamically solves the "Cycle Mode" problem by real-time weighting. It aggressively curve-fits the Slope of component cycles to the Slope of the price action, rewarding algorithms that successfully predict direction while suppressing those that fail.
This is a non-repainting, adaptive oscillator designed to identify market regimes, pinpoint high-probability reversals via OB/OS logic, and visualize the aggregate consensus of advanced signal processing mathematics.
1. The Core Philosophy: Why "Slope" Matters:
In technical analysis, most traders focus on Levels (Price is above X) or Values (RSI is at 70). However, the primary driver of price action is Momentum, which is mathematically defined as the Rate of Change, or the Slope.
This script introduces a novel approach: Slope Fitting.
Instead of asking "Is the cycle high or low?", this system asks: "Is the trajectory (Slope) of this cycle matching the trajectory of the price?"
The Dual-Functionality of the Normalized Oscillator
The final output is a normalized oscillator bounded between -1.0 and +1.0. This structure serves two critical functions simultaneously:
Directional Bias (The Slope):
When the Combined Cycle line is rising (Positive Slope), the aggregate consensus of the 13 algorithms suggests bullish momentum. When falling (Negative Slope), it suggests bearish momentum. The script measures how well these slopes correlate with price action over a rolling lookback window to assign confidence weights.
Overbought / Oversold (OB/OS) Identification:
Because the output is mathematically clipped and normalized:
Approaching +1.0 (Overbought): Indicates that the top-weighted algorithms have reached their theoretical maximum amplitude. This is a statistical extreme, often preceding a mean reversion or trend exhaustion.
Approaching -1.0 (Oversold): Indicates the aggregate cycle has reached maximum bearish extension, signaling a potential accumulation zone.
Zero Line (0.0): The equilibrium point. A cross of the Zero Line is the most traditional signal of a trend shift.
2. The "Mixture of Experts" (MoE) Architecture:
Markets are dynamic. Sometimes they trend (Trend Following works), sometimes they chop (Mean Reversion works), and sometimes they cycle cleanly (Signal Processing works). No single indicator works in all regimes.
This system solves that problem by running 13 Algorithms simultaneously and voting on the outcome.
The 13 "Experts" Inside the Code:
All algorithms have been engineered to be Non-Repainting.
Ehlers Bandpass Filter: Extracts cycle components within a specific frequency bandwidth.
Schaff Trend Cycle: A double-smoothed stochastic of the MACD, excellent for cycle turning points.
Fisher Transform: Normalizes prices into a Gaussian distribution to pinpoint turning points.
Zero-Lag EMA (ZLEMA): Reduces lag to track price changes faster than standard MAs.
Coppock Curve: A momentum indicator originally designed for long-term market bottoms.
Detrended Price Oscillator (DPO): Removes trend to isolate short-term cycles.
MESA Adaptive (Sine Wave): Uses Phase accumulation to detect cycle turns.
Goertzel Algorithm: Uses Digital Signal Processing (DSP) to detect the magnitude of specific frequencies.
Hilbert Transform: Measures the instantaneous position of the cycle.
Autocorrelation: measures the correlation of the current price series with a lagged version of itself.
SSA (Simplified): Singular Spectrum Analysis approximation (Lag-compensated, non-repainting).
Wavelet (Simplified): Decomposes price into approximation and detail coefficients.
EMD (Simplified): Empirical Mode Decomposition approximation using envelope theory.
3. The Adaptive "GBM" Learning Engine
This is the "Machine Learning" component of the script. It does not use pre-trained weights; it learns live on your chart.
How it works:
Fitting Window: On every bar, the system looks back 20 days (configurable).
Slope Correlation: It calculates the correlation between the Slope of each of the 13 algorithms and the Slope of the Price.
Directional Bonus: It checks if the algorithm is pointing in the same direction as the price.
Weight Optimization:
Algorithms that match the price direction and correlation receive a higher "Fit Score."
Algorithms that diverge from price action are penalized.
A "Softmax" style temperature function and memory decay allow the weights to shift smoothly but aggressively.
The Result: If the market enters a clean sine-wave cycle, the Ehlers and Goertzel weights will spike. If the market explodes into a linear trend, ZLEMA and Schaff will take over, suppressing the cycle indicators that would otherwise call for a premature top.
4. How to Read the Interface:
The visual interface is designed for maximum information density without clutter.
The Dashboard (Bottom Left - GBM Stats)
Combined Fit: A percentage score (0-100%). High values (>70%) mean the system is "Locked In" and tracking price accurately. Low values suggest market chaos/noise.
Entropy: A measure of disorder. High entropy means the algorithms disagree (Neutral/Chop). Low entropy means the algorithms are unanimous (Strong Trend).
Top 1 / Top 3 Weight: Shows how concentrated the decision is. If Top 1 Weight is 50%, one algorithm is dominating the decision.
The Matrix (Bottom Right - Weight Table)
This table lifts the hood on the engine.
Fit Score: How well this specific algo is performing right now.
Corr/Dir: Raw correlation and Direction Match stats.
Weight: The actual percentage influence this algorithm has on the final line.
Cycle: The current value of that specific algorithm.
Regime: Identifies if the consensus is Bullish, Bearish, or Neutral.
The Chart Overlay
The Line: The Gradient-Colored line is the Weighted Ensemble Prediction.
Green: Bullish Slope.
Red: Bearish Slope.
Triangles: Zero-Cross signals (Bullish/Bearish).
"STRONG" Labels: Appears when the cycle sustains a value above +0.5 or below -0.5, indicating strong momentum.
Background Color: Changes subtly to reflect the aggregate Regime (Strong Up, Bullish, Neutral, Bearish, Strong Down).
5. Trading Strategies:
A. The Slope Reversal (OB/OS Fade)
Concept: Catching tops and bottoms using the -1/+1 normalization.
Signal: Wait for the Combined Cycle to reach extreme values (>0.8 or <-0.8).
Trigger: The entry is taken not when it hits the level, but when the Slope flips.
Short: Cycle hits +0.9, color turns from Green to Red (Slope becomes negative).
Long: Cycle hits -0.9, color turns from Red to Green (Slope becomes positive).
B. The Zero-Line Trend Join
Concept: Joining an established trend after a correction.
Signal: Price is trending, but the Cycle pulls back to the Zero line.
Trigger: A "Triangle" signal appears as the cycle crosses Zero in the direction of the higher timeframe trend.
C. Divergence Analysis
Concept: Using the "Fit Score" to identify weak moves.
Signal: Price makes a Higher High, but the Combined Cycle makes a Lower High.
Confirmation: Check the GBM Stats table. If "Combined Fit" is dropping while price is rising, the trend is decoupling from the cycle logic. This is a high-probability reversal warning.
6. Technical Configuration:
Fitting Window (Default: 20): The number of bars the ML engine looks back to judge algorithm performance. Lower (10-15) for scalping/quick adaptation. Higher (30-50) for swing trading and stability.
GBM Learning Rate (Default: 0.25): Controls how fast weights change.
High (>0.3): The system reacts instantly to new behaviors but may be "jumpy."
Low (<0.15): The system is very smooth but may lag in regime changes.
Max Single Weight (Default: 0.55): Prevents one single algorithm from completely hijacking the system, ensuring an ensemble effect remains.
Slope Lookback: The period over which the slope (velocity) is calculated.
7. Disclaimer & Notes:
Repainting: This indicator utilizes closed bar data for calculations and employs non-repainting approximations of SSA, EMD, and Wavelets. It does not repaint historical signals.
Calculations: The "ML" label refers to the adaptive weighting algorithm (Gradient-based optimization), not a neural network black box.
Risk: No indicator guarantees future performance. The "Fit Score" is a backward-looking metric of recent performance; market regimes can shift instantly. Always use proper risk management.
Author's Note
The MCPS-Slope was built to solve the frustration of "indicator shopping." Instead of switching between an RSI, a MACD, and a Stochastic depending on the day, this system mathematically determines which one is working best right now and presents you with a single, synthesized data stream.
If you find this tool useful, please leave a Boost and a Comment below!
ADR% / ATR / LoD dist. Table - V2ADR% / ATR / LoD Distance Table (V2) + ATR Range Lines is a simple “daily volatility dashboard” that helps you quickly judge how extended a stock is during the day and where “normal” daily movement zones sit relative to price.
It’s designed to help you answer:
“Has this stock already made most of its usual daily move?”
“Am I chasing too late?”
“Where are typical +ATR / −ATR stretch and pullback zones?”
What you’ll see
ADR% (Average Daily Range %)
Shows the stock’s typical daily travel (low → high) as a percentage.
Example: ADR% = 4% means the stock often swings ~4% in a normal day.
ATR (Average True Range)
Shows the stock’s typical daily movement in price units ($ / points).
Example: ATR = 2.50 means it often moves about $2.50 per day.
LoD dist. (Low of Day distance)
Shows how far price is from today’s Low of Day, measured relative to ATR (as a %).
Higher % = more extended away from the day’s low.
Optional: ATR Range Lines (added in this version)
You can enable two guide lines that extend to the right:
ATR Up Line = Price + ATR
ATR Down Line = Price − ATR
These act like volatility guardrails to visualize “typical daily stretch” and “typical pullback” zones.
ATR “Live vs Locked” option (important)
Lock ATR to last completed day (no intraday updates):
ON (Locked): Uses the last completed daily ATR (yesterday’s finished value).
✅ ATR stays constant all day while the market is live.
OFF (Live): ATR can update intraday as today’s daily candle expands.
✅ ATR may change during the session.
Either way, ATR is still based on your chosen ATR Length (lookback period). Locking simply prevents the ATR from drifting intraday.
How to use it (Kullamägi-style principle)
Kristjan Kullamägi’s momentum style emphasizes pressing strength when conditions are right, but also respecting extension and risk/reward. This tool helps you quantify that:
If ADR%/ATR suggests the stock already moved near its usual daily range, chasing can be lower reward.
The ATR lines help you visualize when price is in a “normal stretch zone” vs a better risk area.
Locking ATR gives you stable intraday reference levels for cleaner execution.
Tips
Use ADR% to understand whether there’s likely “room” left in today’s move.
Use LoD dist. to quickly gauge if price is already far from the day’s low (extended).
Use ATR Up/Down Lines as a simple volatility framework for entries, add-ons, and risk planning.
Keep Lock ATR ON if you prefer stable levels throughout the session.
Credits
Original indicator concept & script: ArmerSchlucker
ADR% formula credit: MikeC / TheScrutiniser and GlinckEastwoot
Modifications (V2): TradersPod
Added optional ATR Up/Down lines extending to the right
Added “Lock ATR to last completed day” option for stable intraday ATR reference
Kept the original logic and purpose intact
***CILGIN INDIKATOR***ÇILGIN INDICATOR – User Guide
OVERVIEW
ÇILGIN INDICATOR is a multi-layer trend and momentum confirmation tool designed for discretionary traders.
It combines Relative RSI, EMA structure, SuperTrend logic, Momentum, and optional CCI & ADX filters into a single visual system.
Purpose:
Filter market noise, confirm trend strength, and highlight high-probability Buy / Sell zones.
The indicator works on all symbols and all timeframes.
RELATIVE RSI & MOMENTUM
The indicator can work in two modes:
NORMAL MODE (Formula OFF)
RSI is calculated directly from the chart symbol.
FORMULA MODE (Formula ON)
RSI is calculated from a relative price formula:
Base Symbol / Denominator 1 / Denominator 2
This allows relative strength analysis against indices, sectors, or benchmarks.
RSI SIGNAL LOGIC
RSI Signal Line = SMA of RSI
RSI 50 Level = Trend bias reference
BUY SIGNAL
RSI crosses above the signal line
Optional: RSI must also cross above 50 (Double Confirmation)
SELL SIGNAL
RSI crosses below the signal line
Optional: RSI must also cross below 50
Small arrows on the chart represent RSI-based Buy and Sell signals.
EMA STRUCTURE
Five adaptive EMAs are plotted: EMA 1
EMA 5
EMA 21
EMA 50
EMA 100
EMA lengths automatically adapt to timeframe speed.
EMA BUY LOGIC
Fast EMA crosses above any slower EMA.
EMA SELL LOGIC
Fast EMA crosses below any slower EMA.
EMAs define:
Trend direction
Dynamic support and resistance
Momentum shifts
SUPERTREND SYSTEM
A custom ATR-based SuperTrend is used.
Features:
Optional candle wick usage
Dynamic trailing stop
Visual Buy / Sell labels
SUPERTREND BUY
Trend flips from bearish to bullish.
SUPERTREND SELL
Trend flips from bullish to bearish.
Colored zones visualize the active trend direction.
STRONG BUY & STRONG SELL SIGNALS
A Strong Signal is generated only when multiple conditions agree.
STRONG BUY
RSI Buy Signal
SuperTrend Buy Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
STRONG SELL
RSI Sell Signal
SuperTrend Sell Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
Strong signals are displayed as large labeled markers: “STRONG BUY”
“STRONG SELL”
Designed for trend-following entries, not market noise.
CCI & ADX FILTERS (OPTIONAL)
CCI FILTER
Buy allowed only if CCI > 0
Sell allowed only if CCI < 0
ADX FILTER
ADX must be above minimum level
Direction confirmed using +DI and -DI
These filters help avoid sideways markets and weak trends.
INFORMATION PANELS
PANEL A (Top Right)
Daily percentage change
Weekly percentage change
Monthly percentage change
Daily volume (millions)
PANEL B (Bottom Right)
Relative RSI value
RSI signal value
Relative momentum
Market status (Bull / Bear)
Provides instant market context without extra indicators.
ALERTS
Built-in alerts are available for:
STRONG BUY
STRONG SELL
Suitable for automation and watchlist monitoring.
BEST PRACTICES
Use Formula Mode for relative strength analysis
Enable CCI & ADX filters on higher timeframes
Combine signals with price action and key levels
Do not use as a standalone trading system
DISCLAIMER
This indicator is a decision-support tool and does not provide financial advice.
Always manage risk and confirm signals with your own analysis.
eBacktesting - Learning: Change of CharactereBacktesting - Learning: Change of Character helps you spot a “Change of Character” (CHoCH) — the moment price stops behaving one way and starts behaving the other.
It does this by tracking clear swing highs and swing lows, then marking the first **candle close** that breaks structure **against** the current move:
- Bullish CHoCH: price shifts from making lower structure to breaking above a key swing high.
- Bearish CHoCH: price shifts from making higher structure to breaking below a key swing low.
Use CHoCH to practice timing: early trend shifts, reversals, and potential new legs — especially when combined with your usual confluence (liquidity, premium/discount, key levels, sessions, etc.).
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
SA Trump Volatility Pattern Wick + Volume Shock ReversalDisclaimer (read first)
Educational use only — not financial advice. This script does not provide entries/exits, targets, position sizing, or profit guarantees. Trading (especially options/futures) involves substantial risk and can result in loss of principal (and more for leveraged products). Use at your own discretion.
Best use cases on the 2-Hour timeframe
On 2H, this script becomes a high-signal-quality “shock reversal” detector instead of a noisy candle toy. You’re essentially filtering for:
Large wick rejection
Small real body
Statistically unusual volume (Z-score > threshold)
Context alignment (trend filter + prior bar direction + optional RSI)
What 2H is best for
1) Detecting “event shock” reversals
2H bars often capture:
Macro headlines
Fed commentary
earnings reactions (for equities)
sudden volatility expansions
When the script fires on 2H, it often means:
“Aggressive push happened, liquidity got rejected, and participation was unusually high.”
That’s a structural clue, not a trade instruction.
2) Filtering false breakouts / breakdowns
The wick requirement is basically “failed continuation.”
On 2H, this is powerful around:
prior day highs/lows
weekly pivots
obvious consolidation edges
key moving averages (fast SMA / slow SMA gate)
Bull pattern = flush + reclaim behavior.
Bear pattern = pop + rejection behavior.
3) Options traders: timing “premium exposure windows”
On 2H, this is great for options traders who want to avoid buying premium into a fake move.
BullTrump on 2H can be used as a “don’t chase puts / be cautious short” context shift.
BearTrump on 2H can be used as a “don’t chase calls / be cautious long” context shift.
It’s a “regime hint” for the next few sessions, not a one-bar command.
4) Futures traders: rotation vs continuation framework
A 2H “Trump Candle” often marks:
the end of a liquidation leg
a stop-run / squeeze peak
a pivot moment where the market shifts from impulse to balance
Use it to decide whether you’re in:
continuation mode (trend carries)
or rotation mode (mean-reversion / two-way)
How to use it (2H workflow)
Step A — Keep it strict at first
Recommended defaults for 2H:
wickFracThreshold: 0.40–0.55
bodyMaxFrac: 0.35–0.45
volZThresh: 1.0–1.5
useRSIFilter: ON
RSI bull min / bear max: 45 / 55 (good baseline)
Step B — Treat triggers as “context events”
When it prints, ask 3 questions:
Where did it happen? (key level or random spot)
Was it aligned with trend gate? (SMA fast/slow)
Did volume Z-score spike? (true shock vs normal wick)
Higher quality triggers happen when:
the wick pierces a known level (prior swing / range edge)
and the close re-enters the range
and volume Z-score is meaningfully positive
Step C — Confirm with the next 1–2 candles (optional)
On 2H, it’s reasonable to wait for:
a follow-through close
or a hold above/below fast SMA
or a second “acceptance” candle
You can do this manually without changing code.
Other recommended timeframes (best to worst)
✅ 4H (even cleaner, fewer signals)
Use for:
swing context
multi-day pivots
big reversal points
✅ 1H (more signals, still structured)
Use for:
intraday + overnight context
day-trade bias shifts
✅ 30m (for active traders)
Use for:
tighter responsiveness
more setups
But requires more discretion; noise increases.
⚠️ 15m and below (only if you increase strictness)
If you want to run it on 5m/15m:
raise volZThresh (ex: 1.5–2.0)
raise wickFracThreshold (ex: 0.50–0.65)
lower bodyMaxFrac (ex: 0.25–0.35)
Otherwise it will trigger too often.
Best markets for this script
Works best on:
Index futures: /NQ, /ES (big volume makes Z-score meaningful)
Liquid ETFs: SPY, QQQ
High-volume large caps (AAPL, MSFT, NVDA etc.)
Less reliable on:
thin small caps (volume Z-score gets weird)
low-volume premarket candles
illiquid options underlyings
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Best GBT for this indicator
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ALMA v1 ATR Bands With Trend BarsALMA v1 ATR Bands With Trend Bars is a trend-context overlay indicator designed to visualize price structure, momentum direction, and volatility expansion directly on the chart.
It combines the Arnaud Legoux Moving Average (ALMA) with ATR-based dynamic bands and a dual-momentum bar-coloring model, providing a clear visual framework for interpreting trend conditions without compressing market behavior into a single decision output.
Conceptual Architecture
The indicator is built around three complementary layers, each serving a distinct analytical role:
1. ALMA Trend Curve
The core trend line is computed using the Arnaud Legoux Moving Average, which emphasizes responsiveness while maintaining smoothness through controlled offset and sigma parameters.
An optional adaptive filter suppresses minor fluctuations, allowing the curve to focus on structural price movement rather than short-term noise.
Color changes in the ALMA line reflect directional slope state, not trading actions.
2. ATR Volatility Bands
ATR-based bands are calculated around the filtered ALMA curve:
The bands expand and contract dynamically with volatility.
They provide a contextual envelope that helps visualize price dispersion relative to the underlying trend.
These bands are intended as a volatility reference, not fixed support or resistance levels.
3. Trend Bars (Momentum State Layer)
Price candles are recolored using a dual-CCI momentum model:
A fast and a slow CCI operate together to classify momentum agreement.
When both momentum measures align, bars reflect directional bias.
When momentum disagrees, bars shift to a neutral state.
This layer highlights momentum consistency, not execution timing.
Trend State Visualization:
Discrete visual markers may appear when the slope direction of the ALMA curve changes.
These markers indicate structural trend transitions based on confirmed bar closes and do not repaint.
They are intended to support visual interpretation of trend evolution, not to automate decisions.
Reliability:
No repainting: all states, colors, and markers are confirmed on bar close.
Consistent behavior across instruments and timeframes.
Designed for stable visual output during live market conditions.
Customization Options:
ALMA length, offset, sigma, and optional shift.
Adaptive filtering sensitivity.
ATR period and deviation multiplier.
Momentum sensitivity modes for bar coloring.
Fully customizable color palette.
Optional alerts for structural trend changes.
Gaps-Trendlines-CHOCH-BOS By @crypto_alphabitBINANCE:BTCUSDT
This indicator includes .....
1) Fair value gaps ...
* Bullish gaps
* Bearish gaps
* Automatically removed when the gaps filled
* Gaps color can be changed from setting
2) Recent Trend lines
* Higher trend lines ( from high to high)
* Lower trend lines ( from low to low )
* Higher trend lines breakout ( Bullish Breakout)
* Lower trend lines breakout ( bearish Breakout)
* Coloring breakout candle
* Colors can be changed from setting
* Swing lookback can be changed from setting
* Alert for Bullish Breakout
* Alert for Bearish Breakout
3) COCH & BOS
* Bullish Change of character
* Bearish change of character
* Bullish break of structure
* Bearish break of structure
* Swing lookback can be changed from setting
* Keeping specific number of last drawings
* keeping and removing exact ( CHOCH or BOS) can be managed from setting
* Colors can be changed from setting
* Alert for Bullish CHOCH
* Alert for Bearish CHOCH
* Alert for Bullish BOS
* Alert for Bearish BOS
Thank you for reading .... by @Crypto_alphabit
