Analisis Tren
Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence)Elliott Wave: Pro Forecast + Dashboard (with RSI Divergence)
This indicator provides a dynamic, real-time projection of Elliott Wave structures, helping traders identify potential trend exhaustion and reversal targets. By combining historical pivot analysis with Fibonacci extensions, it forecasts both short-term "extensions" and long-term "macro" moves.
🚀 Key Features
Automated Elliott Wave Projections: Automatically plots potential 5-wave impulse moves (bullish) and 3-wave corrective moves (ABC - bearish) based on current market volatility.
RSI Divergence Integration (⚡): The script scans for discrepancies between price and momentum. If a reversal is projected while a Bullish or Bearish divergence exists, a lightning bolt icon appears, signaling a high-probability setup.
Dual-Horizon Forecasting:
Short-Term Extension: Projects the immediate continuation of the current trend.
1-Year Macro Projection: A "Big Picture" mode that uses high-sensitivity pivots to forecast long-term structural shifts.
Dynamic Data Dashboard: An on-chart table calculates exact Fibonacci price targets and the percentage distance from the current price, allowing for precise risk/reward planning.
Invalidation Logic: Clearly marks the "Invalidation Line." If price breaches this level, the current wave count is considered void.
🛠️ How to Read the Chart
Historical Waves (Green/Teal): Shows the confirmed pivots that the script is using as a baseline.
Extensions (Orange): The immediate predicted path if the current momentum continues.
Reversals (Blue): The projected Elliott Wave path if the current pivot holds.
Look for the ⚡ symbol near the Invalidation line; this indicates RSI Divergence, suggesting the reversal has strong momentum backing it.
Macro Projection (Purple): Designed for swing traders and investors to see where the asset could be in a year based on larger cycle pivots.
⚙️ Settings & Customization
Sensitivity: Adjust the "Short-Term" and "Macro" sensitivity to filter out market noise or capture smaller intraday cycles.
Scenario Linking: You can choose to have the Reversal projection start after the Extension target is hit, or have them run independently.
Visual Toggles: Enable/Disable the target table, Fibonacci grid levels, and chart labels to keep your workspace clean.
Disclaimer: This indicator is a mathematical projection based on historical volatility and Elliott Wave rules. It is a tool for technical analysis and does not guarantee future results. Always use proper stop-loss management.
Trend Pro + No Wick Alert[tommy]no wick ema confirmation for notifications just something simple if you want to trade imbalence
Daily Move Percentile + StdDevDaily Move Percentile + Standard Deviation
Quantifies how unusual today's price move is relative to historical norms, combining percentile ranking with standard deviation analysis. Designed for volatile assets like biotech where contextualizing moves against typical volatility is essential.
How it works:
Calculates daily percentage change
Ranks today's move against the historical distribution (percentile)
Measures how many standard deviations from the mean (z-score)
Displays average volatility so you can contextualize whether a move is normal for this specific stock
Color coding:
Teal: 95th+ percentile up move — rare upside
Red: 95th+ percentile down move — rare downside
Lime: 80th-95th percentile up move — notable upside
Orange: 80th-95th percentile down move — notable downside
Gray: Normal volatility — nothing unusual
Information table (top right):
Today's move (%)
Percentile rank (how unusual)
Standard deviations (z-score)
Average volatility (typical daily move for this stock)
1 Std Dev (baseline volatility measure)
Use cases:
Identify statistically significant moves worth investigating
Contextualize moves against stock-specific volatility (a -5% day means different things for different stocks)
Spot potential mean-reversion setups after extreme moves
Monitor portfolio names for unusual activity
Recommended settings:
30-60 day lookback for volatile biotech
252 day lookback for stable, large-cap names
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
Super SMA Trio (20 50 200)Three SMAs in one (20, 50, 200). This is self-explanatory. TradingView wants me to add more text even though nobody should have any trouble understanding the script.
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------
Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well.
------------What the trader is supposed to do------------
Wait for an UP or DOWN arrow (trend shift).
Let the indicator lock an impulse and draw the fibs.
When price pulls into OTE, it prints READY.
When confirmation happens, it prints ENTRY.
------------Why it’s useful------------
It’s meant to stop you from:
taking random fibs from random swings,
trading weak/noisy moves,
or entering too early without confirmation.
Instead it forces a simple flow:
Trend → Impulse → Pullback to OTE → Confirmed entry
5 Min FVG ORB by LybandzThis is a 5 minute ORB strategy. Essentially all it does is give buy signals if we broke above and got a bullish FVG and gives sell signals if we break down and get a bearish FVG. Its a little sloppy but it does give correct buy/sell signals. It also plots overnight levels. Ignore the SL/TP levels, those arent made correctly yet and I am too lazy to fix it. Just place the stop loss under the FVG candle and put the take profit at either 1:1.5 or 1:2 RR. Breakeven at internal highs/lows or after a volatile large move in your favored direction.
Note - for the entries, make sure to enter after a signal is given on M1. Using M5 timeframe will give different (but similar) results. Put your stop under the M1 FVG and go breakeven at 1:1 RR. Take a partial at 1:1.5 and hold the rest to whatever you want.
Enjoy :)
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
CTR RSI Trigger After MA CrossI use this in connection with my other indicator. Helps confirm my entries. Reach out and let me know if you want to learn how I use this for Bitcoin trading.
CTR Dual Custom MAs + PullbacksUsing this is helping me get in on the pullbacks by watching my higher frame charts and exciting on the lower timeframes. Those interested in learning my trading strategy using this indicator reach out and message back and I will connect with you through my Discord channel. It's free so no worries there.
Super EMA Trio (20 50 200)Triple EMA 20/50/200. This is self-explanatory. TradingView wants me to add more text to this because it thinks people can't figure out how to use this script. I don't know why. It seems pretty dumb of them to require more text for nothing.
Livermore 5-Step Trade Dashboard [t2make]█ OVERVIEW
Jesse Livermore — arguably the greatest stock trader of the 20th century — never entered a trade on impulse. In "How to Trade in Stocks" (1940), he outlined a disciplined, top-down checklist that filtered out noise and kept him on the right side of the market.
This indicator translates Livermore's 5-step pre-trade test into a real-time, on-chart dashboard that automatically evaluates both LONG and SHORT setups simultaneously and tells you which direction has the stronger case — or tells you to sit on your hands.
No manual switching. No guessing. The market speaks, and the dashboard listens.
█ THE 5 STEPS
① MARKET TREND — "There is a time to go long, a time to go short, and a time to go fishing."
Compares fast/slow EMAs on your chosen market index (default: SPY). If the general market isn't trending in a clear direction, there's no trade. Period.
② SECTOR TREND — "Stocks move in groups. You must know which group your stock belongs to."
Checks whether the sector ETF (XLK, XLF, XLE, etc.) is confirming the broader trend. Livermore never fought the group.
③ STOCK ACTION — "The stock must be acting right."
The individual stock must be trending (EMA alignment) AND showing above-average volume. Trend without conviction is just drift.
④ PIVOTAL TIMING — "The pivotal point is where the money is made."
Price must be at or near a pivot high (for longs) or pivot low (for shorts), confirmed by RSI momentum. This is Livermore's famous "line of least resistance" — enter only when the stock is ready to move.
⑤ RISK MANAGEMENT — "Always define your risk before entering a trade."
ATR-based stop-loss, position risk as a percentage, and minimum reward-to-risk ratio. If the math doesn't work, the trade doesn't happen.
█ AUTO DIRECTION
This is the key differentiator. The script scores all 5 steps for both Long AND Short independently, then:
• The side with more passing steps wins
• If tied, the side aligned with the market trend (Step 1) takes priority
• If neither side scores, the dashboard shows "— NONE" — stay flat
The bottom row always displays both scores side by side (e.g., ▲ L 4/5 vs ▼ S 1/5) so you can see the full picture at a glance.
█ DASHBOARD SIGNALS
✅ GO TRADE — 5/5 steps pass. This is your green light.
⚠ ALMOST — 4/5 steps pass. One condition away — watch closely.
⏳ WATCH — 3/5 steps pass. Setup is forming but not ready.
🚫 NO TRADE — Below 3/5. Stay out.
On-chart markers:
🟢 Green ▲ below bar = Long 5/5 triggered
🔴 Red ▼ above bar = Short 5/5 triggered
🟡 Yellow ◆ = 4/5 (almost ready)
Subtle background tint when all 5 pass
█ HOW TO USE
1. Add the indicator to any stock or ETF chart
2. In settings, set your Market Index (SPY, QQQ, etc.) and Sector ETF to match your stock's sector
3. The dashboard does the rest — auto-detects direction and scores each step
4. Only trade when you see 5/5 PASS
5. Use the calculated Stop and Target levels as starting points for your trade plan
6. Set alerts for 5/5 and 4/5 triggers to get notified across your watchlist
Sector ETF reference: XLK (Tech), XLF (Financials), XLE (Energy), XLV (Healthcare), XLI (Industrials), XLP (Consumer Staples), XLU (Utilities), XLB (Materials), XLRE (Real Estate), XLC (Communications), XLY (Consumer Discretionary)
█ SETTINGS
Dashboard: Position (4 corners), Size (S/M/L), toggle EMAs and levels on/off
Step 1: Market symbol, fast/slow EMA periods
Step 2: Sector ETF symbol, EMA period
Step 3: Stock fast/slow EMA, volume surge multiplier, volume avg period
Step 4: Pivot lookback, RSI toggle, RSI period and OB/OS thresholds
Step 5: Max risk %, min R:R ratio, ATR period and multiplier
█ LIMITATIONS
• This is a checklist tool, not a signal generator — it tells you WHEN conditions align, not WHERE to enter tick-by-tick
• Works best on daily timeframe with stocks and ETFs that have reliable volume data
• Sector ETF must be set manually to match the stock you're analyzing
• Crypto and forex pairs may need adjusted parameters since they lack traditional sector groupings
• Past alignment of all 5 steps does not guarantee future results
█ NOTES
This indicator is inspired by Livermore's principles but is an interpretation, not a literal recreation. Livermore traded in an era before EMAs and RSI existed — he used price action and tape reading. The underlying logic, however, is the same: confirm the market, confirm the group, confirm the stock, wait for the pivot, and define your risk.
"It was never my thinking that made the big money for me. It always was my sitting." — Jesse Livermore
Follow @t2make on X for updates, new indicators, and trade ideas.
Aroon🎯Overview
Aroon → is a beautifully visualized trend detection indicator that measures the strength and direction of market trends using the Aroon oscillator. It provides clear signals for identifying trend beginnings, strength, and potential reversals.
Key Features
📊 Dual Component Analysis
Aroon Up: Measures time since highest high within the specified period
Aroon Down: Measures time since lowest low within the specified period
Aroon Average: The difference between Aroon Up and Aroon Down (oscillator)
🎨 Customizable Visualization
5 Color Themes: Choose from Classic, Modern, Robust, Accented, or Monochrome
Visual Fill Areas: Color-coded overbought/oversold zones
Clear Labels: Direct labeling of both Aroon lines for easy reading
📈 Trend Detection System
Cross Signals: Bullish when Aroon Up crosses above Aroon Down
Bearish Signals: Bearish when Aroon Up crosses below Aroon Down
Trend Strength: The spread between lines indicates trend strength
How It Works
Indicator Logic
Aroon Up = × 100
Aroon Down = × 100
Aroon Average = Aroon Up - Aroon Down (oscillator between -100 and +100)
Trend Signals: Generated when the two lines cross
Interpretation Guidelines
Strong Uptrend: Aroon Up near 100, Aroon Down near 0
Strong Downtrend: Aroon Down near 100, Aroon Up near 0
Consolidation: Both lines moving together below 50
Trend Beginning: Lines diverging after being close together
Trend Reversal: Lines crossing each other
Display Options
Visual Components
Aroon Lines (optional): Show individual Up/Down lines
Aroon Average (optional): Show the oscillator with fill zones
Background Highlights: Color background on crossover signals
Summary Table: Large text showing current trend direction
Color Themes
Classic: Green/Red (traditional)
Modern: Teal/Purple (contemporary)
Robust: Gold/Burgundy (bold)
Accented: Purple/Pink (vibrant)
Monochrome: Gray/Charcoal (subdued)
Trading Applications
Entry Signals
Long Entry: Aroon Up crosses above Aroon Down
Short Entry: Aroon Up crosses below Aroon Down
Trend Confirmation: Use with price action for validation
Trend Analysis
Trend Strength: Distance between lines indicates momentum
Trend Maturity: Line levels show how old the trend is
Range Identification: Both lines low indicates consolidation
Customization Settings
Aroon Configuration
Length: Default 6 periods (adjustable)
Show Lines: Toggle Aroon Up/Down lines
Show Average: Toggle Aroon oscillator display
Color Theme: Choose from 5 visual styles
Alert System
Cross Alerts: Notifications for bullish/bearish crossovers
Custom Messages: Includes ticker symbol in alert messages
Benefits for Traders
📊 Clear Trend Identification
Visual representation of trend strength and direction
Easy-to-spot crossovers for potential entries
Multiple display options for different trading styles
🎯 Versatile Application
Works on all timeframes
Suitable for all markets (stocks, forex, crypto)
Can be combined with other indicators for confirmation
⚡ Practical Features
Real-time alerts for crossovers
Clean, uncluttered visualization
Customizable to match your chart aesthetics
Large trend direction display for quick assessment
Perfect for trend-following traders who want a clear, visual indicator that identifies both trend direction and strength without complex calculations. The Aroon indicator is particularly effective at spotting new trends early and identifying when trends are weakening or reversing.
Risk AlignmentRisk Alignment evaluates whether market conditions favor risk-on or risk-off behavior by assessing the alignment of BTC and the OTHERS index.
It uses two independent signals: the direction of the 12/25 EMA stack and price position relative to those EMAs, each classified as bullish, bearish, or neutral.
These signals are combined into a six-state regime framework:
Bullish, Neutral-Bullish, Conflicting, Neutral-Bearish, Bearish, or No Signal
This provides a clear hierarchy of conviction rather than a binary output.
It is designed to function as a top-down macro filter, helping traders gate exposure, size risk, and avoid periods of structural disagreement.
It is best used as a regime context layer, not as a standalone entry signal.
Occurrence Scanner | MA Resilience & Breakout LogicThis indicator is designed to quantify the reliability of a Moving Average (MA) as a dynamic Support or Resistance level. Unlike standard crossover indicators that generate signals on every touch, this script employs a rigorous "Zone Tolerance" and "Temporal Confirmation" logic to filter out noise and classify price action into three distinct behaviors: Valid Bounce, Confirmed Breakout, or False Breakout (Trap).
It also integrates an optional Volatility Filter (based on TTM Squeeze mechanics) to prevent false signals during low-volatility "chop" regimes.
HOW IT WORKS:
1. The "Safe Zone" (Buffer Logic): Standard MAs are thin lines. This script creates a programmable "Road" around the MA (defined by the Zone Tolerance % input).
A touch is only considered a potential breakout if the price closes outside this zone.
Wicks that pierce the MA but close inside the zone are treated as Bounces (respecting the level).
2. Event Classification (The Decision Engine): Once the price interacts with the MA Zone, a "Sovereignty Window" (Lookahead Timer) is activated to monitor the subsequent candles:
✅ Bounce: Price tests the MA but never closes outside the Safe Zone during the window. The MA held as support/resistance.
❌ Breakout (Breakdown/Breakup): Price closes outside the Safe Zone. A strict "2-Consecutive Close" logic is applied to confirm the trend change immediately, avoiding premature signals.
⚠️ False Break: Price momentarily closes outside the zone but aggressively reverses to the opposite side within the time window. This identifies "Bull/Bear Traps".
3. The Volatility Filter (Anti-Chop): Market consolidation often leads to MA whipsaws.
The script calculates Bollinger Bands (2.0 std) vs. Keltner Channels (1.5 ATR).
If the Squeeze Filter is enabled in settings, the script forces the scanner to IGNORE any MA touches while volatility is compressed (Squeeze ON). This ensures signals are only generated during active trends.
SETTINGS:
MA Type & Length: Choose between SMA or EMA and the period (e.g., 20, 50, 200).
Zone Tolerance (+/- %): The buffer width. Default is 0.2%. Higher values filter more noise.
Lookahead Candles: The confirmation window size.
Squeeze Filter: Toggle On/Off to ignore signals during low volatility regimes.
INTENDED USE: This tool is intended for Swing Traders and Scalpers looking to statistically validate which Moving Average is being respected by a specific asset. It automates the "visual backtest" process, providing a Dashboard with success rates for Bounces vs. Breaks.
ORION: Linear Regression Consolidation SystemDescription:
This script is a custom-built technical analysis tool designed to identify high-probability consolidation zones (market equilibrium) and trade their subsequent breakouts in the direction of the established trend.
originality & Concept: While many indicators use simple Bollinger Band squeezes, this system employs a multi-factor algorithm to define "Consolidation" mathematically. It synthesizes three core concepts:
Volatility Compression (ATR): It compares the current range against the Average True Range (ATR) to ensure price action is compressed.
Structural Stationarity (Linear Regression): It calculates the slope of the Linear Regression line over a lookback period. A zone is valid ONLY if the slope is near-zero (< 0.25), ensuring the market is truly flat and not just choppy.
Trend Alignment (EMA): To filter out low-probability counter-trend signals, the system utilizes a 150-period Exponential Moving Average (EMA) as a baseline. Breakouts are only valid if they align with the macro trend (Above EMA = Long, Below EMA = Short).
How It Works:
Zone Detection: The script draws a visual box when the price range is within the ATR multiplier limit AND the Linear Regression slope is flat.
Signal Validation: A signal is triggered only on a confirmed candle close outside the box.
False Breakout Protection: A volume/body size filter checks if the breakout candle has significant momentum compared to the average of the last 20 bars.
Risk Management : The script projects a fixed Risk:Reward setup (default 1:1.8) and includes a "Breakeven" logic that visualizes when a trade has reached 50% of its target, securing the position.
Settings:
This system is highly customizable to fit different market conditions. Below are the specific parameters used in this setup:
1. Strategy Core (Logic)
Lookback Period (15): The algorithm analyzes the most recent 15 candles to detect market equilibrium. On the M5 timeframe, this represents a 75-minute window of stability, which is optimal for scalping setups.
Box Width (ATR Multiplier) (3) : Defines the maximum vertical range of the consolidation box. A value of 3 means the box height cannot exceed 3x the Average True Range (ATR). This ensures we are trading tight, compressed zones rather than volatile, expansive ranges.
Slope Tolerance (0.4): Controls the strictness of the Linear Regression slope. A value of 0.4 allows for a slight tilt in the consolidation structure, capturing more valid opportunities than a strictly horizontal (0.0) setting without compromising the "flatness" requirement.
2. Risk Management
Risk : Reward Ratio (1.8): Sets the profit target relative to the stop loss. For every $1 risked, the system targets $1.8 in profit. This provides a positive mathematical expectancy even with a moderate win rate.
Breakeven Trigger (%) (0.5): A capital preservation feature. When the price covers 50% (0.5) of the distance to the Take Profit target, the trade is visually marked as "Breakeven" (Risk-Free). If the price reverses after this point, it is not counted as a loss.
3. Protection & Filters (Insurance)
Enable 'Strong Candle' Filter (ON): Filters out weak "creeping" breakouts. The system will only trigger a signal if the breakout candle demonstrates significant momentum.
Average Size Period (20): The baseline for momentum is calculated using the average body size of the last 20 candles.
Candle Strength Factor (1): The breakout candle must be at least 1x (100%) the size of the average candle. This ensures that real volume and momentum are backing the move, reducing the chance of fakeouts.
Disclaimer: This script is intended for educational and analytical purposes to assist traders in identifying market structure.
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
1D % Change (Histogram)1D % Change Histogram (Daily-Anchored)
Description
This indicator plots the 1-day percent change as a histogram above/below the zero line.
It includes 3 calculation modes:
• Last vs Prev Close: compares the latest available price to the prior daily close (useful for an “in-progress” daily change on intraday charts).
• Close vs Prev Close: classic daily close-to-close change (stable per day).
• Close vs Open: session move for the day (open-to-close).
The logic is anchored to the Daily timeframe, so you can view it on 5m/15m/1H charts while keeping a consistent “1D” reference.
How to use:
• Want a live-updating read on intraday charts? Use Last vs Prev Close.
• Want clean day-by-day comparisons? Use Close vs Prev Close.
• Want a session “push” metric? Use Close vs Open.
Notes
• Green bars when value is ≥ 0, red bars when < 0.
• Optional zero line and last-value tag.
• Can run on the chart symbol or a user-selected symbol.
Limitations
• Different data feeds may define “price” differently (last/close/settle), so values can vary across providers.
• In Last vs Prev Close mode the value updates intraday (expected behavior).
Disclaimer
This script is for educational and informational purposes only.
It is not financial advice and does not provide buy/sell signals or entry/exit recommendations.
Use at your own risk and always verify with your own data.
For Loop THMA ~ CharonQuantThe For Loop THMA is a trend classification and momentum confirmation indicator designed to measure directional strength through relative price dominance, not raw crossings.
This indicator blends a Triple Hull Moving Average structure with a for-loop comparison engine and multiple trend quality filters to reduce noise and false signals.
Concept Overview
The core idea behind this indicator is simple:
Instead of asking “did price cross a line?”, it asks
“How often is the price stronger than its recent past?”
By looping over previous THMA values and comparing them to the current value, the indicator builds a directional score that reflects internal momentum and persistence.
This approach allows trends to be evaluated statistically rather than emotionally.
Indicator Components
The For Loop THMA is composed of four layers:
• Triple Hull Moving Average (THMA) as the smoothed price backbone
• For-loop counter to quantify relative dominance over a lookback window
• EMA trend filter to align signals with higher-timeframe bias
• ADX + DMI filter to ensure sufficient trend strength
Signals are only produced when all components align.
For-Loop Logic
The for-loop compares the current THMA value to its past values over a user-defined range.
Each comparison increments or decrements a counter, producing an oscillator that reflects bullish or bearish pressure.
Optional weighting can be enabled to give more importance to recent price action.
This counter becomes the primary decision engine of the indicator.
Visual Interpretation
• The oscillator displays the strength and direction of the trend
• Threshold lines define bullish and bearish regimes
• Bar coloring reflects the active trend state
• Color intensity adapts to directional confidence
Credits and Inspiration
This indicator is inspired by and builds upon:
• THMA ~ CharonQuant
• For Loop MA Indicator from CraftMan18
Development and usage notes:
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Forecast Trend Filter ~ CharonQuantThe Forecast Trend Filter (FTF) is a trend and momentum confirmation indicator built on the original Forecast Oscillator concept developed by Tushar Chande.
The original Forecast Oscillator measures how far price deviates from a linear regression forecast to highlight momentum shifts.
This version extends that foundation and restructures it into a practical, signal-quality focused trend filter designed for real trading conditions.
What’s different in this implementation:
• Forecast Oscillator combined with slope confirmation to ensure momentum is accelerating, not stalling
• Trend alignment filter using a user-selectable moving average (SMA, EMA, WMA, HMA, ALMA, VWMA)
• Minimum deviation threshold to filter out weak or noisy signals
• Directional state logic that clearly defines bullish, bearish, or neutral conditions
• Visual trend context using adaptive colors, background bias, and overlay plots
Signals are only generated when all conditions align:
• Price deviates meaningfully from its linear regression forecast
• Oscillator slope confirms momentum continuation
• Deviation exceeds the minimum quality threshold
• Price is aligned with the higher-level trend filter
If one condition fails, the signal is ignored.
This design prioritizes signal quality over signal frequency.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:ETHUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Supertrend with Keltner Channels ~ CharonQuantThe Supertrend with Keltner Channels Strategy is a trend-following and volatility indicator designed to filter noise and highlight high-quality directional opportunities.
Core Logic
The indicator is based on two complementary components:
• Supertrend defines the primary market regime (bullish or bearish)
• Keltner Channels define volatility expansion and contraction
Signals are only generated when both trend direction and volatility breakout agree.
Signal Conditions
A Buy signal is triggered when:
• Supertrend flips bullish
• Price breaks above the upper Keltner Channel
A Sell signal is triggered when:
• Supertrend flips bearish
• Price breaks below the lower Keltner Channel
If one condition is missing, no signal is produced. This design prioritizes signal quality over signal frequency.
Visual Structure
The indicator uses a clear visual hierarchy:
• Bar coloring reinforces directional bias
• Supertrend acts as the main directional spine
• Keltner Channels provide volatility context
• Buy and Sell labels mark execution points
All visual elements can be enabled or disabled from the Visual Settings panel.
Development and usage notes:
This indicator was developed and calibrated on the 1D INDEX:BTCUSD chart.
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
