SuperTrend MAAfter building SuperBands, I kept thinking about what happens at the midpoint between those two volatility-adaptive envelopes. The upper and lower bands are both trailing price based on ATR and EMA smoothing, but they're operating independently in opposite directions. Taking their average seemed like it might produce an interesting centerline that adapts to volatility in a way that regular moving averages don't. Turns out it does, and that's what this indicator is.
The core concept is straightforward. Instead of plotting the upper and lower SuperBands separately, this calculates both of them internally, averages their values, and then applies an additional smoothing pass with EMA to create a single centerline. That centerline sits roughly in the middle of where the bands would be, but because it's derived from ATR-offset trailing stops rather than direct price smoothing, it behaves differently than a standard moving average of the same length. During trending periods, the centerline tracks closer to price because one of the underlying bands is actively trailing while the other is dormant. During consolidation, both bands compress toward price and the centerline tends to oscillate more with shorter-term movements.
What's interesting is that this acts like a supertrend all by itself with directional behavior baked in. When one of the underlying supertrend waves dominates, meaning price is strongly trending in one direction and only one band is active, you get what feels like a "true" supertrend, whatever that means exactly. The centerline locks into trend-following mode and the color gradient reflects that commitment. You get bright bullish colors during sustained uptrends when the upper band is doing all the work, and strong bearish colors during downtrends when the lower band dominates. But when both bands are active and fighting for control, which happens during consolidation or choppy conditions, the centerline settles into more neutral tones that clearly signal you're in a ranging environment. The colors really do emphasize this behavior and make it visually obvious which regime you're in.
The smoothing parameter controls how aggressively the underlying SuperBand trails adapt to price, which indirectly affects how responsive the centerline is. Lower values make the bands tighter and more reactive, so the centerline follows price action more closely. Higher values create wider bands that only respond to sustained moves, which produces a smoother centerline that filters out more noise. The center smoothing parameter applies a second EMA pass specifically to the averaged midpoint, giving you independent control over how much additional lag you want on the final output versus the raw band average.
What makes this different from just slapping an EMA on price is that the underlying bands are already volatility-aware through their ATR calculations. When volatility spikes, the bands widen and the centerline adjusts its position relative to price based on where those bands settle. A traditional moving average would just smooth over the volatility spike without adjusting its distance from price. This approach incorporates volatility information into the centerline's positioning, which can help it stay relevant during regime changes where fixed-period moving averages tend to lag badly or whipsaw.
The color gradient adds a momentum overlay using the same angle-based calculation from SuperBands. The centerline's rate of change gets normalized by an RMS estimate of its historical movement range, converted to an angle through arctangent scaling, and then mapped to a color gradient. When the centerline is rising, it gradients from neutral toward your chosen bullish color, with brightness increasing as the rate of ascent steepens. When falling, it shifts toward the bearish color with intensity tied to the descent rate. This gives you an immediate visual sense of whether the centerline is accelerating, decelerating, or moving at a stable pace.
Configuration is simpler than SuperBands since you're only dealing with a single output line instead of separate bull and bear envelopes. The length parameter controls the underlying band behavior. ATR period and multiplier determine how much space the bands allocate around price before they trail. Center smoothing adds the extra EMA pass on the averaged midpoint. You can tune these independently to get different characteristics. A tight ATR multiplier with heavy center smoothing creates a smooth line that stays close to price. A wide multiplier with light center smoothing produces a line that swings more freely and adapts faster to directional changes.
From a practical standpoint, this works well as a trend filter or dynamic support and resistance reference. Price above the centerline with bullish coloring suggests a favorable environment for long positions. Price below with bearish coloring indicates the opposite. Crossovers can signal trend changes, though like any moving average system, you'll get whipsaws in choppy conditions. The advantage over traditional MAs is that the volatility adaptation tends to reduce false signals during transitional periods where volatility is expanding but direction hasn't fully committed.
The implementation reuses the entire SuperBands logic, which means all the smoothing and state management for the trailing stops is identical. The only addition is averaging the two band outputs and applying the final EMA pass. The color calculation follows the same RMS-normalized angle approach but applies it to the centerline's delta rather than the individual band deltas. This keeps the coloring consistent with how SuperBands handles momentum visualization while adapting it to a single line instead of dual envelopes.
What this really highlights is that you can derive moving averages from mechanisms other than direct price smoothing. By building the centerline from volatility-adjusted trailing stops, you get adaptive behavior that responds to both price movement and volatility regime without needing separate inputs or complex multi-stage calculations. Whether that adaptation provides a meaningful edge depends on your strategy and market, but it's a fundamentally different approach than the typical fixed-period or adaptive MAs that adjust length based on volatility or momentum indicators.
Análisis de tendencia
ADX MA Filter for Choppy MarketsA clear way to see expanding markets and identify contracting markets or chop
Trader Jumblo Apex Pro Signal — Confirmed The Trader Jumblo Apex Signal Pro indicator is a precision-based market reversal tool designed to identify potential turning points in price with a strong confirmation logic.
Unlike standard momentum or crossover systems, this tool focuses on confirmed reaction zones, allowing traders to anticipate high-probability shifts in market direction.
Built with adaptive multi-filter logic and confirmation weighting, it minimizes false signals and only triggers entries under specific structural conditions.
The indicator integrates dynamic volatility levels for automatic stop-loss and take-profit projection using a fixed risk-reward calibration (2:4), maintaining consistency and discipline in trade management.
Key Features:
• Smart confirmation logic for precision entries
• Adaptive 2:4 risk-reward framework
• Automatic SL/TP projection
• Candle-confirmation filtering for stronger setups
• Fully compatible with alerts (BUY, SELL, TP, SL)
Best used on: 1-5 minute or 15-minute charts for short-term confirmation trading.
⚠️ Note: This tool is optimized for traders who prioritize precision entries over frequent signals. Each signal represents a confirmed market reaction — not a predictive guess.
A precision reversal confirmation system designed to catch high-probability turning points with strict entry logic and fixed 2:4 risk-reward control.
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Elite Entries Pivot Banker PremiumElite Entries Pivot Banker — Breakout Buffer, Zones & TSL
What it does
**Elite Entries Pivot Banker** is a trend-following entry tool that:
1. Finds fresh **support/resistance pivots** using a configurable lookback.
2. Triggers **buy/sell** only when price **closes beyond** the pivot by a user-defined **Breakout Buffer** (ATR/%, or ticks).
3. Optionally **stamps a zone** from the **previous candle** (wick or body) so you can see the supply/demand area that produced the signal.
4. Manages positions with a **Trailing Stop (TSL)** (ATR/%, or points), including optional **auto break-even after +1R**.
It’s designed to cut “touch & reverse” fakes, visualize the origin zone, and keep risk management systematic.
---
How to use (quick start)
1. **Add to chart.** Works on regular or Heikin Ashi; the script uses “real” OHLC internally for entries/exits.
2. **Set Lookback (`length`).**
* Intraday: start at **150** (range: 100–200).
* Swing: start at **200** (range: 150–300).
3. **Choose Threshold Mode & Value.**
* *Percent* (default): common range **0.3–0.8%**.
* *Points*: handy for futures/indices if you think in points.
This defines how far from the pivot a candle must be before it’s even eligible to signal.
4. **Turn on the Breakout Buffer.**
* Keep **Require Breakout Close Beyond Pivot** ON.
* **ATR** buffer with **0.25–0.50** is a strong baseline; increase on choppy symbols.
* For slower charts or FX, try **Percent** (e.g., 0.10–0.25).
5. **Enable Zones (optional).**
* **Wick** zones are broader (more forgiving); **Body** zones are tighter (surgical).
* Use **Delete Zone When Broken** to auto-clean the chart.
* **Use Wick for Zone Break** if you want stricter invalidation (wick penetration kills the zone).
6. **Configure the Trailing Stop (TSL).**
* **ATR 14**, **2.0×** (Long/Short) is a classic start.
* Turn on **Auto Break-even after +1R** to protect gains on momentum pushes.
7. **Trade the signals.**
* **Green triangle** below bar = *Buy*.
* **Red triangle** above bar = *Sell*.
* If **Show BLOCKED** is enabled, “X” markers show signals that were suppressed only because a TSL trade is already active (to prevent stacking).
* **TSL line** (lime for long, red for short) shows your trailing stop; touching it exits (optional exit label shows PnL).
---
Inputs (plain-English guide)
Pivot Settings
* **Support/Resistance Lookback** — how far back to define pivots. Larger = fewer but stronger pivots.
* **Track Price** — keeps pivot plots tracking live price.
Signal Settings
* **Threshold Mode / Value** — minimum distance from pivot before a bar can even qualify.
* **Show BLOCKED markers** — visualizes otherwise-valid signals blocked by an active TSL position.
* **Signal Label Size** — shape size for the triangles.
External Filters (optional)
* **Use External Enhancers** — require pivot to be Above/Below a custom series (e.g., MA, HTF close).
Useful if you want signals only in the higher-timeframe trend.
Breakout Buffer (the key filter)
* **Require Breakout Close Beyond Pivot** — ON to reduce false breaks.
* **Buffer Mode** — ATR / Percent / Ticks.
* **Buffer Amount** — the distance that close must exceed the pivot.
Signal Zones
* **Create Zone After Signal** — draw a box from the **previous candle** (wick/body).
* **Opacity / Extend Right** — cosmetic and readability controls.
* **Delete Zone When Broken** — auto-remove once invalid.
* **Use Wick for Zone Break** — stricter (wick) vs. lenient (close) break logic.
* **Max Zones to Keep** — cap to avoid chart bloat during long replays.
Trailing Stop
* **Mode** — ATR / Percent / Points.
* **ATR Length / Multipliers** — classic 14 / 2.0× each side.
* **Percent / Points Trail** — alternatives to ATR.
* **Auto Break-even after +1R** — locks stop to entry once move equals the trail distance.
* **Show TSL Lines / Exit Labels / Risk Label at Start** — visibility + readouts.
* **PnL Display** — Currency / Points / Ticks.
* **Label styling & persistence** — pick sizes/colors and whether risk labels persist after exit.
---
Suggested presets
**Intraday baseline (indices, liquid stocks)**
* Lookback: **150**
* Threshold: **0.5%** (or 1.0 point on ES/points mode)
* Breakout Buffer: **ATR**, **0.35**
* TSL: ATR **14**, **2.0×** (both sides), Break-even **ON**
* Zones: **Wick**, Delete on Break **ON**, Wick-Break **OFF**
**Swing baseline (daily/4H)**
* Lookback: **200**
* Threshold: **0.5–0.8%**
* Breakout Buffer: **ATR**, **0.25–0.35**
* TSL: ATR **14**, **2.0×**, Break-even **ON**
* Zones: **Body** for cleaner structure, Delete on Break **ON**
---
Reading the chart
* **Triangles**: entries (green = buy, red = sell).
* **TSL lines**: dynamic stops (lime/red).
* **Exit labels**: optional PnL marker when stop is hit.
* **Zones**: shaded boxes from the *previous candle* that created the signal; auto-extend and optionally auto-delete.
---
Alerts included
* **Basic Buy Alert** — on confirmed buy signal.
* **Basic Sell Alert** — on confirmed sell signal.
* **TSL Exit (Long/Short)** — when trailing stop is touched.
---
Tips & troubleshooting
* Too many fakeouts?
→ Increase **Breakout Buffer** (e.g., ATR 0.35→0.50) or raise **Lookback**.
* Late entries?
→ Reduce **Threshold** and/or **Breakout Buffer** slightly.
* Want fewer overlapping trades?
→ Keep **TSL gate** ON (default behavior) so new signals are blocked while in a position.
* Zone clutter?
→ Lower **Max Zones to Keep** or enable **Delete Zone When Broken**.
---
## Notes & disclaimer
* This is a **research/education** tool. Always forward-test and risk-manage.
* For backtests, consider a **strategy** version that mirrors these entries and TSL exits (I can provide one if you want).
Bitgak [Osprey]🟠 INTRODUCTION
Bitgak , translated as "Oblique Angle" in Korean, is a strategy used by multi-hundred-million traders in Korea, sometimes more heavily than Fibonacci retracement.
It is a concept that by connecting two or more pivot points on the chart and creating equidistant parallel lines, we can spot other pivot points. As seen in the example, a line at a different height but with the same angle spots many pivot points.
This indicator spots pivot points on the chart and tests all different possible Bitgak lines with a brute-force method. Then it shows the parallel line configuration with the most pivots hitting it. You may use the lines drawn on the chart as possible reversal points.
It is best to use on Day and Week candles . In the very short range of time, the noise makes it hard to capture meaningful data.
🟠 HOW TO USE
The orange dots are the major pivot points (you can set the period of the long-term pivot) upon which the lines are built.
Change the "Manual Lookback Bars" from 300 to a meaningful period upon your inspection.
"Hit Tolerance %" means how close a pivot needs to be to the line to be considered as having touched the line.
If the line is too narrow, which is not very useful, you may consider increasing the "Long-term Pivot Bars" and experimenting with different settings for Channel Lines and Heuristics.
The result:
"Top Anchors to Test (L)" is how many L highest peaks and L lowest troughs should be weighed heavily when testing the lines. That is, with L = 1, the algorithm will reward the Bitgak lines that touch 1 highest peak and 1 lowest trough. It doesn't make much intuitive sense, so I suggest just testing it out.
🟠 HOW IT WORKS
Step 1: Pivot Detection
The indicator runs two parallel detection systems:
Short-term pivots (default: 7 bars on each side) - Captures minor swing highs/lows for detailed analysis
Long-term pivots (default: 17 bars on each side) - Identifies major structural turning points
These pivots form the foundation for all channel calculations.
Step 2: Anchor Point Selection
From the detected long-term pivots, the algorithm identifies:
The L highest peaks (default L=1, meaning the single highest peak)
The L lowest troughs (default L=1, meaning the single lowest trough)
These become potential "anchor points" for channel construction. Higher L values test more combinations but increase computation time.
Step 3: Channel Candidate Generation
For support channels: Every pair of troughs becomes a potential base line (A-B)
For resistance channels: Every pair of peaks becomes a potential base line (A-B)
The algorithm then tests each peak (for support) or trough (for resistance) as pivot C.
Step 4: Optimal Spacing Calculation
For each A-B-C combination, the algorithm calculates:
Unit Spacing = (Distance from C to A-B line) / Multiplier
It tests multipliers from 0.5 to 4.0 (or your custom range), asking: "If pivot C sits on the 1.0 line, what spacing makes the most pivots hit other lines?"
Step 5: Scoring & Selection
Each configuration is scored by counting how many pivots fall within tolerance (default 1% of price) of any parallel line in the range . The highest-scoring channel is drawn on your chart.
Sri Momentum Plus - CTF with adjustable hilineSri Momentum Plus – CTF with Adjustable Hiline
Sri Momentum Plus is a refined, multi-timeframe momentum analyzer designed to visualize trend strength and reversals with precision.
This tool is an enhanced version of traditional momentum oscillators, incorporating custom timeframe control, dynamic sensitivity, and a user-adjustable baseline (hiline) for flexible visualization and alignment with different trading strategies.
⚙️ Key Features
Custom Timeframe (CTF):
Analyze momentum from any selected timeframe (from 1-minute to Monthly), independent of the chart’s current timeframe.
Adjustable Hiline (Base Offset):
Shift the entire momentum structure up or down around your preferred base level. Ideal for aligning multiple indicators or customizing visual zones (e.g., -110, -50, or 0).
Dual Momentum Calculation:
Uses a blend of fast and slow moving averages to capture both short-term bursts and long-term shifts in momentum.
Normalization Options:
Choose between Volatility-based or Price-average-based normalization to adapt the indicator’s sensitivity to different market conditions.
Smart Coloring:
Four-color histogram distinguishes between bullish, bearish, and transitional phases — allowing you to visually detect momentum strength and reversals at a glance.
Signal Line Integration:
Smooths raw momentum into a clear signal line for trend confirmation and cross-over recognition.
🧩 User Controls
Timeframe Selection: Select any timeframe for the momentum calculation, independent of the chart.
Sensitivity: Fine-tune how strongly the indicator reacts to price movements.
Fast/Slow/Signal Periods: Adjust each period length for faster or slower response.
Normalization Method: Choose how momentum is scaled — either by volatility or by average price.
Hiline (Base Offset): Move the baseline up or down to align the indicator with your layout or trading framework.
📊 How to Use
Use histogram color changes and signal line crossovers to identify potential trend shifts.
Adjust the hiline to align with your preferred visual setup or to stack this indicator with other tools.
Works well in combination with volume, trend, or oscillator-based indicators for enhanced decision-making.
💡 Best For
Traders who use momentum-based strategies (swing, intraday, or positional).
Those who prefer custom multi-timeframe analysis to confirm higher-timeframe momentum.
Users seeking visual flexibility and clean separation of bullish/bearish momentum phases.
X-GoldThis indicator visualizes the relationship between Gold’s global strength and the U.S. Dollar Index (DXY) to help traders identify periods of confluence or divergence between the two assets.
It combines:
# Gold Spread Index (GSI) – the average normalized value of XAU quoted against several major currencies (USD, AUD, CHF, EUR, GBP, and Silver).
This helps measure gold’s strength across global markets, not just against the U.S. dollar.
# Normalized DXY line – a z-scored and smoothed version of the U.S. Dollar Index for visual comparison.
The background highlights confluence zones:
🟢 Bullish Confluence – GSI trending up while DXY trends down
🔴 Bearish Confluence – GSI trending down while DXY trends up
⚫ Neutral / Divergence – both move in the same direction (often signals indecision or ranging conditions)
Key Features:
# Works on any timeframe
# Real-time background color zones for instant trend confluence visualization
# Optional alerts for buy/sell/neutral confluence transitions
# Clean layout in a separate panel for clear comparison
Disclaimer:
This script is for educational and analytical purposes only.
It does not provide financial advice or guarantee any trading outcomes.
Always perform your own analysis before making investment decisions.
Directional Momentum VisualizerDescription
This script provides a color-coded column visualization of a classic momentum oscillator that measures relative strength and weakness. Instead of a single line, it uses conditional coloring to make directional changes easier to identify at a glance.
The tool is designed for clarity and adaptability, offering both column and line displays, with optional overbought, oversold, and midpoint guides.
How It Works
The script evaluates the oscillator’s value relative to a midpoint and its previous reading.
Depending on whether it’s above or below the midpoint — and whether it’s rising or falling — each column changes color:
Strong upward momentum (above midpoint and rising) → bright green
Fading upward momentum (above midpoint but falling) → pale green
Strong downward momentum (below midpoint and falling) → bright red
Fading downward momentum (below midpoint but rising) → pale red
Unchanged from the previous value → gray
This structure makes momentum shifts instantly visible without relying on line crossings or alerts.
Key Features
Color-coded momentum columns for instant visual interpretation
Adjustable midpoint, overbought, and oversold levels
Optional line overlay for smoother reference
Dynamic background highlighting in extreme zones
Works on any symbol or timeframe
Inputs Overview
Length: Controls the sensitivity of the oscillator calculation.
Source: Selects the price source (Close, HL2, etc.).
Midpoint Level: Defines the central reference level separating bullish and bearish momentum.
Show Line: Toggles visibility of the traditional line overlay.
Overbought / Oversold Levels: Define upper and lower boundaries for potential exhaustion zones.
How to Use
Add the script to your chart from the Indicators tab.
Adjust the midpoint and level settings to fit your preferred configuration.
Observe how column colors shift to reflect strength or weakness in momentum.
Use these transitions as visual context, not as trade signals.
How it Helps
This visual approach offers a clearer perspective on momentum dynamics by replacing the traditional single-line display with color-coded columns. The conditional coloring instantly reveals whether momentum is strengthening or weakening around a chosen midpoint, making trend shifts and fading pressure easier to interpret at a glance. It helps reduce visual noise and allows for quicker, more intuitive analysis of market behavior.
This tool is intended purely as a visual aid to help identify changing momentum conditions at a glance. It is not a buy or sell signal generator and should be used in combination with other forms of analysis and sound risk management.
⚠️ Disclaimer:
This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
Triple EMA strategy by kingtraderthis strategy is purely based on moving everages, ema5, ema50 and ema200, avoid ranging market. in 1 mint your tp should 15-20pips, in 3mint tp should be 25pips, in 5mint tp should not above 50pips, in 15mints make tp 60 to 80 pips, in 30 mints tp 150 and 1h and h4 ur tp above 200pips, when target achieves have partial closing and keep ur trade breakeven. this indicator is for educational purpose only any loss by using this indicator, the author will not be responsible.
Tradebot Trend PowerSummary: Multi-indicator trend dashboard showing weighted Buy/Sell strength as percentage bars with a clean gradient panel.
What it does
Tradebot Trend Power aggregates multiple technical indicators into a Buy/Sell trend-power score and visualizes it as a compact on-chart panel with two bar columns (Buy / Sell).
You can enable/disable each component (RSI, StochRSI, MACD, ADX, CCI, Aroon, MFI, OBV, MA) and assign a weight (1 or 2 points).
The script converts the active signals into percentages of the total possible score and fills the bars with a gradient: green for Buy strength, red for Sell strength.
When a column reaches its maximum (normalized to 10 bars), a small “Strong” label appears for that side.
How it works (scoring logic)
Each selected component contributes to the Buy or Sell tally based on a simple binary condition:
RSI: Buy if RSI is rising (ΔRSI > 0); Sell if falling (ΔRSI < 0).
StochRSI: Buy if %K > %D; Sell if %K < %D.
MACD: Buy if MACD line > Signal; Sell if MACD line < Signal.
ADX (+DI/−DI): Active only when ADX > 20; Buy if +DI > −DI; Sell if −DI > +DI.
CCI: Buy if CCI > 0; Sell if CCI < 0.
Aroon: Buy if Aroon Up > Aroon Down; Sell if Down > Up.
MFI: Buy if MFI > 50; Sell if MFI < 50.
OBV: Buy if OBV is rising; Sell if OBV is falling.
Moving Average (EMA/SMA/WMA/HMA): Buy if close > MA; Sell if close < MA.
Each “true” condition adds its weight to the corresponding Buy or Sell score. Scores are divided by the sum of selected weights to produce Buy/Sell percentages (0–100%). The panel normalizes these into 10 bars per side for quick visual ranking.
Panel / display
Toggle the panel on/off and choose position (top/middle/bottom, left/center/right).
Header shows Buy % and Sell %; the footer shows how many components are currently signaling on each side (e.g., Buy (5/7) | Sell (2/7)).
Colors use a smooth gradient from the panel base color to green/red based on the percentage.
How to use
Enable the indicators you want to include and set their weights (1 = light impact, 2 = stronger impact).
Optionally adjust lookback lengths (e.g., RSI 14, MACD 12/26/9, MA 20).
Place the panel where you prefer.
Use the Buy/Sell percentages for context (trend bias, momentum alignment, confirmation layer) alongside your own entries, risk and management rules.
Defaults / conduct notes
No request.security(); calculations are done on the current chart only.
This is an indicator (not a strategy); it shows no backtests or orders.
The panel updates on the last bar; no forward-looking tricks are used.
Signals are simplified, binary forms of the underlying indicators and are intended for decision support, not standalone predictions.
Limits & disclaimers
Not intended for non-standard chart types (Heikin Ashi, Renko, Range, Kagi, Point & Figure).
Past results do not guarantee future performance.
Example view:
The chart shows the gradient Buy/Sell bars and the “Strong” label at full power.
UI wording (EN equivalents of panel labels)
“📉 Tradebot Strategies Trend Power” → Trend Power Panel
“Trend Power” → Panel On/Off
“Top/Bottom/Middle Left/Center/Right” → Panel position
“Panel Color / Buy gradient / Sell gradient / Text Color” → Style settings
“Text Size” → Panel text size
“RSI / StochRSI / MACD / ADX (+DI/−DI) / CCI / Aroon / MFI / OBV / Moving Average” → Component toggles & weights
“Length / Fast / Slow / Signal / %K / %D / DI Length / ADX Smoothing / MA Type” → Inputs
Ultimate Stage Analysis Pro
• Executive Overview
- Fuses Stan Weinstein Stage Analysis with Mark Minervini’s Trend Template inside a single institutional workflow tool.
- Computes dynamic stage/sub-stage logic with volume, slope, and relative-strength confirmations for disciplined regime detection.
- Surfaces a premium two-column dashboard that reads like a terminal panel, summarizing momentum, breadth, and risk inputs in real time.
- Built for multi-theme environments: “Institutional Dark” and “Institutional Light” palettes maintain clarity on any TradingView chart.
Stage & Structure Intelligence
- Classifies securities across Stage 1–4 with optional A/B sub-stages, applying slope, moving-average alignment, and ATR regime filters.
- Captures and extends key support/resistance zones (Stage 1 basing, Stage 3 topping) with contextual labels that adapt to the active stage.
- Tracks stage duration, re-sets on transitions, and retains entry references for risk and reward projections.
- Allows users to tune slope thresholds, lookbacks, and sub-stage durations to align with desk-specific playbooks.
Momentum & Leadership Scoring
- SATA (Stage Analysis Trend Acceleration) engine evaluates 10 institutional checkpoints: breakout quality, MA structure, RS trend, momentum, volume drive, and overhead supply.
- Minervini Trend Template scoring synthesizes 50/150/200-day relationships, 52-week positioning, and relative strength, outputting a 10-point gauge.
- Mansfield Relative Strength module auto-adjusts lookbacks per timeframe, emphasizing leadership versus a configurable benchmark.
- Dashboard renders progress bars and status indicators (“Confirmed” vs “Review”) for rapid institutional diligence.
Professional Visual Experience
- Theme-aware gradients, typography, and alternating row treatments provide maximum legibility without distracting glow.
- Price, moving averages, and background fills adopt cohesive accent tones tied to their respective stages for immediate context.
- Support/resistance labels, annotations, and volume cues inherit theme colors, keeping on-chart annotations minimal yet readable.
- Dashboard headers, separators, and icons guide the eye through workflow blocks: Stage summary, SATA qualifiers, Trend & Risk Metrics.
Alert Architecture
- Built-in alerts cover every structural regime change (Stage 1–Stage 4) so desks can automate watchlists and allocation shifts.
- Predictive Stage 2 setup alert monitors sub-stage evolution, SATA score, RS, and volume spikes to flag imminent breakouts.
- Stage 2 confirmation alert requires synchronized trend template, SATA strength, and volume thrust—ideal for deployment on high-conviction entries.
- Stage 2 weakening alert detects fading momentum (SATA drop, trend template degradation, MA breaches) to support risk reduction policy.
- Each alert is registered via alertcondition() for one-click activation in TradingView’s Alerts panel; optional alert() calls respect the user’s on-chart toggles.
Workflow Guidance
- Choose theme via Visual Theme input to match the underlying chart; adjust transparency if overlays stack with other studies.
- Enable dashboard for at-a-glance institutional readouts; hide it when screen real estate is limited or for export.
- SATA/Trend Template blocks can be toggled to focus on either Weinstein or Minervini methodologies independently.
- Use relative strength inputs (Benchmark Symbol, RS Period) to align the indicator with your investment universe (e.g., SPX, NDX, sector ETFs).
- Risk settings (Account Risk %, position sizing toggle) contextualize stop levels and risk/reward multipliers inside the dashboard.
- Combine with volume profile or market breadth overlays for a holistic Stage Analysis execution stack.
MechArt ATR Box 12 V1.1MechArt ATR Box 12 V1.1 — Auto ATR Edition
Overview:
The MechArt ATR Box 12 is a precision visualization tool for tracking ATR-based trade levels across multiple tickers. It automatically plots your +1 ATR roll zone, -2 ATR stop, and -3 ATR emergency exit, providing a clear visual map of your trade’s range and time horizon.
Key Features:
Auto ATR on Entry Date: For each configured ticker, the indicator automatically pulls the historical ATR(14) value that matches your entry date — no manual ATR entry needed. This refreshes each time the ticker is revisited.
Smart Defaults for Other Tickers:
If a ticker isn’t listed in the code, the indicator defaults to your current price as the entry, calculates ATR live, and sets expiration 21 days out, aligned to the next Friday.
Multi-Ticker Setup (12 Slots):
You can predefine up to 12 tickers inside the code, each with its own entry price, entry date and expiration date. Once saved, the indicator recognizes and loads them automatically when you open that chart.
Customizable Appearance:
Adjustable opacity and colors for each ATR box
Line width, style, and transparency controls
DTE/ATR label with adjustable font size
Dynamic Labels:
Displays the remaining days to expiration (DTE) and the ATR value used for calculations.
Use Case:
Designed for swing traders and options traders managing multiple active tickers. Each ATR box visually represents your trade window — from entry through expiration — with clear risk and roll boundaries.
How It Works:
Simply open the code once and enter your 12 tickers, each with its entry date and price. The script handles ATR lookups and expiration alignment automatically. Any ticker not included will generate its own default 21-day box.
TBR Pro+marks session ranges and standard deviation levels to help you calculate where price could go next. You could also use it to top and bottom tick entries for indicies and CFDs!
Candle Color Difference Marker (PSP)This indicator shows when the colors of the candles on two or three charts are different.
EMA Cross + Inside BarWith the EMA Cross + Inside Bar script you can spot inside bars instantly.
Based on the inside bar there is a call and a put trigger to help you find the key areas to look for long/short positions.
It's also possible to show possible target areas based on a multiplier.
The script is highly customizable and will be improved in the future.
If you have questions or feedback just message me via X.
And don't forget: Always do your own research :)
Smart Inside Bar Zones by Dinkan🔹 How It Works
An Inside Bar is formed when a candle’s high and low are completely within the previous candle’s range.
The indicator detects this structure in real time, creates a visual box around it, and extends the zone until the pattern is broken.
Inside Bar candles can be optionally highlighted with a custom color to make them stand out clearly on the chart.
🔹 Features
✅ Automatic Inside Bar detection
✅ Dynamic Inside Bar zone boxes with custom fill & border color
✅ Inside candle body highlighting with user-defined color
✅ Adjustable transparency and border style
✅ Option to display only the latest Inside Bar zone for cleaner charts
🔹 Usage
Traders can use Inside Bar zones to:
Study price compression and breakout regions
Observe range behavior and trend continuation setups
Combine with other tools like volume or support/resistance analysis
🔹 Customization
Change box fill and border color
Adjust Inside Candle color for better visibility
Set transparency and choose whether to show all or only the latest box
⚠️ Disclaimer
This script is intended for market structure visualization and educational purposes only.
It does not generate trading signals or financial advice.
Always perform your own analysis and risk management before making trading decisions.
14 Trades |Section Asie Buy A+14 Trades | Sadikh Sarr
14 Trades | Asian Session Buy A+ is a trading tool designed exclusively for the Asian session, ideal for traders who want to take advantage of the calm and predictable volatility of this period.
Developed by 14 Trades | Sadikh Sarr, this indicator provides a simple, disciplined, and effective approach to the market.
⚙️ How It Works
Target Market: Asian session only
Timeframe: 1 hour (H1)
Signal Type: Buy only (Buy Signal)
Method:
Wait for the indicator to display a clear buy signal.
Once the signal is confirmed, enter a buy position.
The target take profit (TP) is 250 pips.
No sell positions are taken — the system is designed to follow the bullish trend during the session.
💡 Objective
14 Trades | Asian Session Buy A+ is designed to give traders the opportunity to capture market movements effectively during the Asian session using a simple and structured strategy that reduces emotional decision-making.
⚖️ Advantages
Clear and disciplined strategy
Ideal for both beginners and experienced traders
Optimized for the Asian session (Tokyo)
Offers a strong risk/reward ratio on each trade
TRADE ORBIT:INVESTMENT INDICATORKey Features:
Relative Strength vs NIFTY
Monthly RS(12): Measures how the symbol is performing relative to NIFTY over the past 12 months.
Positive RS indicates the symbol is outperforming the benchmark.
Momentum Filter (Weekly RSI)
Weekly RSI(12) identifies bullish or bearish momentum.
Background turns green when RSI > 50 and monthly RS > 0, signaling a strong bullish environment.
Background turns red when RSI < 50, monthly RS < 0, and weekly RS(21) < 0, signaling weakness.
Weekly RS(21) Buy/Exit Signals
Buy Signal: Triggered when weekly RS(21) crosses above 0 while background is green, confirming momentum breakout.
Exit Signal: Triggered when weekly RS(21) crosses below 0 while background is green, signaling a reversal in momentum.
Trend & Volatility Tools
SMA 30: Displays the short-term trend for price alignment.
Bollinger Bands (20,2): Measures volatility and potential support/resistance zones.
Visuals:
Green/Red semi-transparent backgrounds for bullish/bearish zones.
Buy signals marked with green upward triangles; Exit signals marked with red downward triangles.
SMA30 plotted in yellow; Bollinger Bands plotted in blue.
How to Use:
Entry: Look for green background + weekly RS(21) crossing above zero.
Exit: Close positions when weekly RS(21) crosses below zero.
Use SMA30 and Bollinger Bands to confirm trend and volatility alignment.
This indicator is perfect for traders who want a multi-timeframe strategy combining momentum, relative strength, and trend/volatility confirmation in a single chart overlay
Buy-or-Sell-WiPIndicator Features:
> Simple red/green histogram to indicate go long/buy or go short/sell
> Recommended to use with my other indicator: 5/15-Min-ORB-Trend-Finder-WiP
Strategy:
> Use with 1-min chart with 5-min High/Low or 5-min chart with 15-min High/Low
> After a breakout, wait for confirmation before placing a trade, which is:
- Two confirming candles (green for long/buy, red for short/sell)
and
- Buy-or-Sell-WiP histogram: green for long/buy, red for short/sell
5/15-Min-ORB-Trend-Finder-WiPIndicator Features:
> "Open" flag for each market day.
> Toggleable 5-min and 15-min High/Low markings.
> Horizontal support (red) and resistance (blue) lines.
> EMA-based trend line: green for long/buy, purple for short/sell.
> Recommended to use with my other indicator: Buy-or-Sell-WiP.
Strategy:
> Use with 1-min chart with 5-min High/Low or 5-min chart with 15-min High/Low
> After a breakout, wait for confirmation before placing a trade, which is:
- Two confirming candles (green for long/buy, red for short/sell)
and
- Buy-or-Sell-WiP histogram: green for long/buy, red for short/sell
Correlation Tracker - Joe v1Correlation Tracker – Joe v1
This indicator calculates the correlation between a selected ticker and an index over a user-defined period. It visualizes correlation with color-coded lines, thresholds, and a descriptive rating, helping traders quickly gauge the strength and direction of correlation.
________________________________________
Options and What They Do
General Settings
• Symbol: Select the ticker you want to analyze.
• Use Chart Symbol: If enabled, the script will use the symbol of the current chart instead of a manually selected symbol.
• Index: Choose the reference index or asset to compare the correlation against. Default is NASDAQ:QQQ.
• Length: Sets the number of periods used to calculate correlation via a moving average. Shorter lengths respond faster; longer lengths smooth correlation.
Correlation Rating Settings
• Show Correlation Rating: Display a textual description of correlation strength (e.g., Ultra Strong, Moderate, Weak).
• Position: Choose where the correlation rating table will appear on the chart (Top/Bottom, Left/Center/Right).
Correlation Line Settings
• Positive Color: Line color when correlation is above the positive threshold. Default: green.
• Negative Color: Line color when correlation is below the negative threshold. Default: red.
• Neutral Color: Line color when correlation is between thresholds. Default: gray.
Correlation Thresholds
• Positive – From: Minimum correlation value considered positive. Default: 0.5 (range 0–0.9).
• Positive Color BG: Background color fill for positive correlation range.
• Negative – From: Maximum correlation value considered negative. Default: -0.5 (range -0.9–0).
• Negative Color BG: Background color fill for negative correlation range.
________________________________________
How It Works
1. Calculates correlation between the selected ticker and the index using logarithmic returns.
2. Plots the correlation line with colors based on thresholds: positive (green), negative (red), neutral (gray).
3. Displays a correlation rating table showing strength (Ultra Weak → Ultra Strong) and absolute correlation on a 0–1 scale.
4. Allows customization of visual appearance, thresholds, and position of rating for clarity on any chart.
[boitl] Trendfilter🧭 Trend Filter – Curve View (1D / 1H + M15 Check)
A multi-timeframe trend filter that blends daily, hourly, and 15-minute data into a smooth, color-coded curve displayed in a separate panel.
It visualizes both trend direction and strength while accounting for overextension, providing a reliable “context indicator” for entries and filters.
🔍 Concept
The indicator evaluates three timeframes:
1D (Daily) → SMA200 for long-term trend bias
1H (Hourly) → EMA50 for medium-term confirmation
15M (Intraday) → EMA20 + ATR to detect overextension or mean reversion zones
It computes a continuous trend score between −1 and +1:
+1 → Strong bullish alignment (D1 & H1 both up)
−1 → Strong bearish alignment (D1 & H1 both down)
≈ 0 → Neutral, conflicting, or overextended conditions
The score is smoothed and normalized for a clean visual curve —
green for bullish, red for bearish, with dynamic transparency based on strength.
⚙️ Logic Overview
Timeframe Indicator Purpose
1D SMA200 Long-term trend direction
1H EMA50 Medium-term confirmation
15M EMA20 + ATR Overextension control
Alignment between D1 and H1 defines clear trend bias
Conflicts between them reduce the trend score
M15 overextension (price far from EMA20) softens the signal further
The result is a responsive trend-strength oscillator, ideal for multi-timeframe setups.
🧩 Use Cases
As a trend filter for strategies (e.g. allow entries only if score > 0.3 or < −0.3)
As a visual confirmation of higher-timeframe direction
To avoid trades during conflict or exhaustion
💡 Visualization
Single curve (area plot):
Green = bullish bias
Red = bearish bias
Transparency increases with weaker trend
Background colors:
🟠 Orange → D1/H1 conflict
🔴 Light red → M15 overextension active
Optional: binary alignment line (+1 / 0 / −1) for simplified display
⚙️ Parameters
Proximity to EMA20 (M15) = X×ATR → defines “near” condition
Overextension threshold = X×ATR → sets exhaustion boundary
EMA smoothing → reduces noise for a smoother score
Toggle overextension impact on/off
