Bullish EMA Crossover Exact v6This indicator highlights bullish momentum shifts by plotting 9 EMA and 20 EMA crossovers. When the faster 9 EMA crosses above the slower 20 EMA, a bold black “X” appears exactly at the crossover price, signaling potential buy opportunities. Ideal for identifying strong uptrends and precise bullish entry points with clear visual confirmation.
Hareketli Ortalamalar
EMAs de JahazielThis indicator displays seven Exponential Moving Averages (EMA 5, 6, 9, 20, 50, 100, and 200) to help identify short-, medium-, and long-term market trends.
When shorter EMAs (5, 6, 9) cross above longer EMAs (50, 100, 200), it suggests increasing bullish momentum and potential uptrend continuation.
Conversely, when shorter EMAs cross below longer EMAs, it indicates potential bearish momentum and a possible downtrend.
📈 The combination of these EMAs helps traders visualize market structure, momentum shifts, and key dynamic support/resistance levels.
🧠 Suitable for scalping, intraday trading, swing trading, or confirming higher time frame trends across any market — Forex, indices, crypto, or commodities.
Diwali Lights Pro — 7-Diyas Signal Matrix [KedArc Quant]🎯 Overview
“Diwali Lights Pro — 7-Diyas Signal Matrix” is a precision-built trend-sentiment indicator that blends the glow of seven technical “diyas” — each representing a different momentum or strength dimension — into one intuitive signal matrix. It was designed to celebrate light, discipline, and clarity in trading — helping traders filter noise, identify strong trend shifts, and take trades with conviction. Each diya is powered by a proven indicator component: RSI, Stochastic, EMA trend strength, and momentum slopes.Together, they light up your chart with buy/sell signals only when technical confluence aligns — like the diyas of Diwali shining in harmony.
💡 Core Concept
The indicator computes a composite score (–9 to +9) by evaluating seven key parameters:
| # | Diya | Logic | Interpretation |
| 1 | RSI | Overbought / Oversold | Short-term momentum exhaustion |
| 2 | Stochastic | Direction & zones | Confirmation of RSI |
| 3 | Price vs EMA20 | Position of price | Near-term trend bias |
| 4 | EMA20 Slope | Short-term momentum | Strength confirmation |
| 5 | EMA50 Slope | Mid-term trend | Trend stability |
| 6 | EMA100 Slope | Medium-term sentiment | Institutional bias |
| 7 | EMA200 Slope | Long-term sentiment | Market direction baseline |
The total of these 7 diyas creates a signal matrix that dynamically adapts to trend conditions.
⚙️ Inputs & Configuration
| RSI Length | 14 | Standard RSI window |
| Stochastic Length | 14 | Measures momentum oscillation |
| EMA Periods | 20, 50, 100, 200 | Multi-layer trend structure |
| Overbought / Oversold Zones | 70 / 30 | Configurable thresholds |
| Show Buy/Sell Labels | ✅ | Toggle signal markers |
| Show Banner | ✅ | Festive Diwali header with fireworks |
| Twinkle Interval | 10 bars | Animation timing |
| Fireworks Count | 18 | Visual celebration intensity |
| Background Opacity | 100% | Style preference |
🧭 Entry & Exit Logic
# ✅ Buy Signal (🪔)
A Buy triggers when:
* The total diya score crosses above zero,
* And at least four of seven components turn bullish.
This indicates that short-term oscillators, price action, and moving averages are all turning in unison — a strong entry zone after a pullback.
# 🔥 Sell Signal (🔥)
A Sell triggers when:
* The total diya score crosses below zero,
* And multiple slopes or price conditions flip bearish.
This flags weakening momentum and possible trend exhaustion.
# 💬 Suggested Usage
* Works beautifully on 5-min to 1-hour charts.
* Best when used with trend confirmation tools (volume, price structure).
* Avoid entering trades when signals flip rapidly within narrow ranges (sideways zones).
🧪 Mathematical Formulae
1. RSI Bucket (p₁):
p₁ =
2 if RSI < Very Oversold
1 if RSI < Oversold
0 if neutral
-1 if RSI > Overbought
-2 if RSI > Very Overbought
2. Stochastic Bucket (p₂): Similar to RSI bucketing.
3. Price vs EMA20 (p₃):
p₃ = sign(close - EMA20)
4–7. Slope Sign (EMA20, 50, 100, 200):
p₄₋₇ = sign(EMA - EMA )
Total Score = Σ(p₁…p₇)
→ Crossover(total_score, 0) → Buy Signal
→ Crossunder(total_score, 0) → Sell Signal
📊 Why It’s Not Just a Mash-Up
Diwali Lights Pro uses:
* A unified scoring engine with weighted logic rather than conflicting triggers.
* Each component (diya) contributes equally, creating a normalized sentiment index.
* Smart signal filtering prevents repetitive false flips by enforcing trend alignment across multiple time frames.
* A dynamic, responsive structure optimized for clarity and minimal repainting.
🎆 Unique Add-Ons
* Top-Right Diwali Banner: Festive “Happy Diwali” with animated fireworks 🎇 and diyas 🪔.
* Signal Filtering: Reduces noise in volatile ranges.
* EMA Cloud Context: Visual clarity of multi-layer trend zones.
* Optional Light Mode: Change fireworks opacity for a subtle or bright effect.
📘 FAQ
Q1: Does this repaint?
No — it uses confirmed values (RSI, Stochastic, EMA slopes). Signals appear only after the bar closes.
Q2: Which timeframes work best?
Between 5m and 1h, depending on your strategy.
Use higher EMAs for swing setups.
Q3: Can I use it with alerts?
Yes, both Buy and Sell triggers come with built-in `alertcondition()` for instant notifications.
Q4: Can it be combined with other indicators?
Absolutely — it pairs well with volume profiles, volatility bands, or order-flow systems.
🪔 Glossary
| Diya | Candle or light — here, each diya = one technical indicator |
| EMA | Exponential Moving Average — measures smoothed trend bias |
| RSI | Relative Strength Index — momentum overbought/oversold oscillator |
| Stochastic | Momentum oscillator measuring closing levels relative to highs/lows |
| Slope Sign | Direction of EMA movement — rising or falling |
| Signal Matrix | The combined system of all seven diyas generating a unified score |
🧭 Final Note
> *Diwali Lights Pro* is not just a trading tool — it’s a visual celebration of confluence and discipline.
> When the diyas align, trends shine. Use it to trade in harmony with light, not against it. 🌟
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
SMA RibbonThis indicator overlays multiple Simple Moving Averages (SMAs) on the price chart to help visualize both short- and long-term market trends. It includes five configurable SMA lines — 10, 21, 50, 100, and 200 periods by default — each plotted with distinct colors for quick differentiation.
Short-term averages (10 and 21) highlight near-term momentum, while medium- and long-term averages (50, 100, and 200) provide broader trend context and identify potential areas of dynamic support or resistance.
Users can easily adjust the period lengths and line thickness through the settings panel to fit different timeframes or trading styles.
Features
Plots 5 configurable SMAs (default: 10, 21, 50, 100, 200)
Adjustable line width and colors for visual clarity
Works seamlessly on any timeframe and instrument
Useful for identifying trend direction, strength, and key support/resistance zones
PivotBoss Oscillator (PBOsc)PivotBoss Oscillator (PBOsc) – Description
The PivotBoss Oscillator (PBOsc) is a momentum-based indicator derived from the PivotBoss PEMA Method, designed to identify market bias, trend strength, and potential reversals across all timeframes and instruments.
Unlike traditional oscillators, PBOsc measures the differential among three pivot-based EMAs (fast, medium, and slow) relative to the pivot point (PP) of each bar, allowing it to self-adjust dynamically with current market volatility.
Calculation Logic
Pivot Point (PP):
𝑃
𝑃
=
(
𝐻
𝑖
𝑔
ℎ
+
𝐿
𝑜
𝑤
+
𝐶
𝑙
𝑜
𝑠
𝑒
)
/
3
PP=(High+Low+Close)/3
Pivot-Based EMAs:
Fast PEMA = EMA(PP, fast length)
Medium PEMA = EMA(PP, medium length)
Slow PEMA = EMA(PP, slow length)
Differentials:
Diff1 = Fast PEMA − Slow PEMA
Diff2 = Medium PEMA − Slow PEMA
Diff3 = Fast PEMA − Medium PEMA
Oscillator Value:
𝑃
𝐵
𝑂
𝑠
𝑐
=
(
𝐷
𝑖
𝑓
𝑓
1
+
𝐷
𝑖
𝑓
𝑓
2
+
𝐷
𝑖
𝑓
𝑓
3
)
/
𝑃
𝑃
PBOsc=(Diff1+Diff2+Diff3)/PP
Interpretation
Above Zero Line (0): Bullish bias; momentum favors the upside.
Below Zero Line (0): Bearish bias; momentum favors the downside.
Advancing Bars (Green): PBOsc rising → Strengthening trend or positive momentum.
Declining Bars (Red): PBOsc falling → Weakening trend or negative momentum.
Analytical Uses
Change of Bias: Detects short-term shifts in market sentiment.
Trending Markets: Measures pullbacks or continuations within ongoing trends.
Divergence: Divergence between price and PBOsc can signal potential reversals.
Default Settings
Default: (8, 13, 21)
Alternate Presets: (5, 8, 13), (13, 21, 34), (21, 34, 55)
Trend Patterns_Trend Model此腳本根據《超級績效：金融怪傑交易之道》中的【趨勢樣板】進行撰寫
當時股價高於一百五十天(三十週)與兩百天(四十週)移動平均。
一百五十天移動平均高於兩百天移動平均。
兩百天移動平均至少有一個月期間處於上升狀態(多數情況最好有四、五個月以上)。
五十天移動平均同時高於一百五十天與兩百天移動平均。
當時股價高於五十天移動平均。
當時股價較五十二週低點至少高出30%(很多最佳候選股在突破橫向整理而展開大規模漲勢之前,股價已經較五十二週低點高出100%、300%或更多。)
目前股價距離五十二週高點不超過25%(愈接近愈好)。
相對強度評等(relative strength ranking,根據《投資人經濟日報》 的資料)不低於70,最好是80多或90多,而且較佳候選股總是如此。
This script is based on the 【Trend Patterns】 in 《Trade Like a Stock Market Wizard》.
The current stock price is above both the 150-day (30-week) and the 200-day (40-week) moving average price lines.
The 150-day moving average is above the 200-day moving average.
The 200-day moving average line is trending up for at least 1 month (preferably 4-5 months minimum in most cases).
The 50-day (10-week) moving average is above both the 150-day and 200-day moving averages.
The current stock price is trading above the 50-day moving average.
The current stock price is at least 30 percent above its 52-week low. (Many of the best selections will be 100 percent, 300 percent, or greater above their 52-week low before they emerge from a solid consolidation period and mount a large scale advance.)
The current stock price is within at least 25 percent of its 52-week high (the closer to a new high the better).
The relative strength ranking (as reported in Investor's Business Daily) is no less than 70, and preferably in the 80s or 90s, which will generally be the case with the better selections.
REMS Synergy OverlayThis 3rd generation REMS indicator builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves.
Confluence Level 1 (Highest Conviction):
Evaluates selected criteria across both timeframes. All selected criteria must be in confluence to trigger signal.
Confluence Level 2 (Moderate Conviction):
Selected criteria can be selected by each timeframe individually. All selected criteria must be in confluence to trigger signal.
Confluence Level 3 (Lower/supportive confluence):
Of the selected criteria, this level can evaluate a set number of conditions that must be met. Number of conditions is user-defined.
Includes VWAP and 4 EMAs as optional visual representations.
Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default)
Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators.
Values coded below:
RSI
-Primary: Length = 14, Smoothing = 20 (via SMA)
-Secondary: Length = 7, Smoothing = 20 (via SMA)
Stochastic RSI
Primary:
-RSI Length = 14
-Stochastic Length = 8
-%K = 3, %D = 3
Secondary:
-RSI Length = 7
-Stochastic Length = 7
-%K = 3, %D = 2
MACD - applied to both timeframes
-Fast = 12, Slow = 26, Signal = 9
Kalman Exponentialy Weighted Moving Average | MisinkoMasterThe Kalman Exponentialy Weighted Moving Average is a technical analysis tool providing users with more responsive and smoother signals, providing crystal-clear signals and giving investors valuable insights on market trends, however it could be used in many cases.
A deeper dive into the indicator:
When going through my creation of strategies, I had stumbled on an indicator called "EWMA", which worked decently, but it was far too simple in my opinion so I decided to combine the EMA & WMA, but with a little more complexity, and it has worked .
I began by learning how both MAs work, I already knew how WMA works, but EMA I did not.
After learning both I found out they were quite simple in principle and that there was a way to combine them in such way that you would get really good signals, however it was way too noisy.
While it could avoid major dumps that were not avoided by most indicators, it would lose that edge because of being too noisy.
After testing out many conditions, combinations & more, the best working one was this one:
WMA > KEWMA = long
WMA < KEWMA = short
I will explain this later, but this gave fast signals, and while it still was noisy it was better then before.
To smooth it out, I started testing price filters => Gaussian Filter and many more were tested out, but they either slowed it down to the point it was no longer of much use, or did not smooth it at all.
After testing the Kalman filter on this thing, I was shocked.
It was just right and made the indicator a lot better, smoothed it and kept most of the responsivness it had.
Now to the big question: "How is it calculated?"
Now first it needs to calculate the Kalman source, which smooths the source which will be used.
After that, we calculate the Weighted Moving Average for " n " period on the Kalman source.
Now that we have our WMA values, we need to calculate " a ".
a is calculated in the following formula:
a = 2/(1+ n )
where n is the user defined length
Now for the last part:
KEWMA = WMAyesterday * (1-a) + WMAtoday * a
This creates a very accurate and reactive indicator, that can prove useful in many uses, beyond those I will and did talk about.
For the trend logic as mentioned before:
Long = WMA > KEWMA
Short = WMA < KEWMA
This worked best, but you might find better ways of using it.
I think that is all I have to say about it, I left it open source so you can all code it in your strategies and play around with it.
Enjoy Gs!
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands.
Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping.
You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees.
It additionally helps taking trading decisions or not with very small trades (Scalping).
You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff.
Fee Overview in the current market for the indicator input field:
BingX with 10% fee reduction code = 0,045 %
BingX: Normal = 0,050 %
Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 %
Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 %
Have fun Trading, Happy Profits!
Greetings
ToniTrading
SFC Bollinger Band and Bandit StrategySFC Bollinger Band and Bandit Strategy
概述 (Overview)
SFC 布林通道與海盜策略 (SFC Bollinger Band and Bandit Strategy) 是一個基於 Pine Script™ v6 的技術分析指標，結合布林通道 (Bollinger Bands)、移動平均線 (Moving Averages) 以及布林海盜 (Bollinger Bandit) 交易策略，旨在為交易者提供多時間框架的趨勢分析與進出場訊號。該腳本支援風險管理功能，並提供視覺化圖表與交易訊號提示，適用於多種金融市場。
This script, written in Pine Script™ v6, combines Bollinger Bands, Moving Averages, and the Bollinger Bandit strategy to provide traders with multi-timeframe trend analysis and entry/exit signals. It includes risk management features and visualizes data through charts and trading signals, suitable for various financial markets.
Trend Flow Trend Flow — by Volume Hub
A clean momentum-based trend map built around EMA 21, EMA 50, and EMA 200.
TrendFlow helps you instantly see whether price is flowing with the trend or fighting against it.
When price trades above the short-term EMAs, momentum is bullish — when it falls below, the flow reverses.
🟢 How to use
Buy bias: when price is above EMA 21 & EMA 50 and both are aligned above the EMA 200.
The green zone between 21 & 50 acts as a dynamic support channel — ideal for pullback entries.
Sell bias: when price is below EMA 21 & EMA 50 and both are under the EMA 200.
The red zone highlights a resistance channel — look for rejection or continuation setups.
Neutral zone: when EMAs are tangled or flat — stay patient until structure expands again.
⚙️ Features
Soft, low-opacity EMA 21 & 50 for clear channel view
Dynamic EMA 200 color shift (green = bullish / red = bearish / gray = neutral)
Automatic color fill between EMA 21 & 50 for instant trend-strength feedback
🎯 Purpose
Designed for traders who prefer clean price structure and disciplined trend confirmation.
Use TrendFlow as your core directional filter — pair it with your own entry logic, liquidity zones, or volume confirmations.
📈 Created by: Volume Hub
Moving Averages Power
-----------------------------------------------------------------------------
This is a README in Pine Script format for TradingView publication.
It contains usage docs in comments and a no-op plot so it uploads without issue.
For the actual indicator, use: moving_averages_simple.pine
-----------------------------------------------------------------------------
plot(na) no-op to keep the script valid without drawing anything
=============================================================================
Moving Averages (5–4320) — Trend + Normalized Strength
=============================================================================
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact
table with each MA’s:
- Slope % (per-bar)
- Trend (Bullish/Bearish/Neutral)
- Normalized “Strength” bars comparable across MA lengths and, optionally,
across timeframes via ATR%
Not financial advice. For research/education only.
----------------------------------------------------------------------------
Scope
----------------------------------------------------------------------------
- Simple Moving Averages (SMA) only
- Periods: 5, 10, 20, 30, 60, 120, 160, 240, 480, 720, 960, 1440, 1750, 2880, 4320
- Overlays lines + end-of-series labels; adds a 4×16 table (bottom-right)
- Strength normalization modes: None, Length, ATR%, Length+ATR%
----------------------------------------------------------------------------
Key Features
----------------------------------------------------------------------------
- 15 SMA lines on one chart
- Line/label/table colors reflect trend:
• Bullish (slope > 0): green
• Bearish (slope < 0): red
• Neutral (otherwise): gray
- Normalized Strength bars comparable across MA lengths and (optionally) across
timeframes via ATR%
- Show/hide any SMA; adjustable font sizes for labels and table
----------------------------------------------------------------------------
Installation (TradingView)
----------------------------------------------------------------------------
1) Open TradingView → any chart → Pine Editor
2) Create a new script and paste the contents of moving_averages_simple.pine
3) Save → Add to chart
4) Open Settings to customize inputs
(This README.pine is just documentation. It does not draw lines or the table.)
----------------------------------------------------------------------------
Usage
----------------------------------------------------------------------------
Table columns:
- MA: the moving average period
- Slope %: per-bar percent change of the MA
slope% = 100 × (MA − MA ) / MA
- Trend: Bullish (green), Bearish (red), Neutral (gray)
- Strength: a bar of ▮ characters, computed from normalized strength and
clamped to a max (default 10 bars)
Strength normalization (S):
- None: S = |slope%|
- Length: S = |slope%| × (length / normRefLen)
- ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
- Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: bars = floor(S / strengthStep), clamped to maxStrengthBars
Notes:
- normRefLen (default 240) stabilizes Length scaling across very short/long MAs
- In ATR modes, Strength is blank until ATR is ready (requires atrLen bars)
----------------------------------------------------------------------------
Inputs (Settings)
----------------------------------------------------------------------------
- Display: 15 toggles to show/hide SMA 5 … SMA 4320
- Text Settings: Label font size; Table font size
- Strength Settings:
• Strength normalization: None | Length | ATR% | Length+ATR%
• Strength step (normalized units): sensitivity of bar count
• Max bars: clamp for bar count (default 10)
• Normalization reference length: baseline for Length scaling (default 240)
• ATR Length (for ATR% normalization): ATR lookback for ATR%
----------------------------------------------------------------------------
Recommended presets
----------------------------------------------------------------------------
Intraday (e.g., BTCUSD, 1h):
- Normalization: Length+ATR%
- normRefLen: 240
- Strength step: 0.02–0.05
- Max bars: 10
- ATR Length: 14
Daily (e.g., AAPL, 1D):
- Normalization: Length
- normRefLen: 240–480
- Strength step: 0.01–0.03
- Max bars: 10
----------------------------------------------------------------------------
Calibration tips
----------------------------------------------------------------------------
Bars often maxed (pegged)?
- Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
- Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
- Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
- Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
- Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
----------------------------------------------------------------------------
Limitations
----------------------------------------------------------------------------
- SMA only (no EMA/WMA/etc.)
- Per-bar slope is timeframe-sensitive; use ATR% or Length+ATR% for better
cross-timeframe comparisons
- ATR modes require atrLen bars; Strength shows blank until ready
- Longest SMA (4320) needs sufficient chart history
----------------------------------------------------------------------------
Troubleshooting
----------------------------------------------------------------------------
- Strength always maxed:
• Using Length mode with too-small step → increase step and/or use Length+ATR%
• Review normRefLen (higher ref length dampens long MAs)
- Strength blank cells:
• In ATR modes, wait for atrLen bars or use Length mode
- Table bounds:
• If you customize periods or table size in the main script, keep header at
row 0 and at most 15 data rows (4×16 table)
----------------------------------------------------------------------------
Compatibility
----------------------------------------------------------------------------
- Pine Script v6
- Works on most symbols/timeframes with adequate history
----------------------------------------------------------------------------
Credits & Feedback
----------------------------------------------------------------------------
If you find this useful, consider sharing your preferred defaults (symbol/
timeframe) so better presets can be added. PRs/issues welcome in the repo.
Moving Averages PowerMoving Averages Power — Trend + Normalized Strength
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s:
Slope % (per-bar)
Trend (Bullish/Bearish/Neutral)
Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR%
Not financial advice. For research/education only.
What it does
Plots 15 SMA lines on the price chart
Colors match trend: Bullish (green), Bearish (red), Neutral (gray)
Bottom-right table: MA, Slope %, Trend, Strength bars
Strength normalization modes:
None: raw |slope%|
Length: scales by length relative to a reference length
ATR%: scales by volatility (ATR as % of price)
Length+ATR%: combines both for better cross-timeframe comparability
How it works (concepts)
Slope % per bar: 100 × (MA − MA ) / MA
Normalization:
None: S = |slope%|
Length: S = |slope%| × (length / normRefLen)
ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: floor(S / strengthStep), clamped to Max bars (default 10)
Notes:
normRefLen (default 240) keeps Length scaling stable across very short and very long MAs
In ATR modes, Strength shows blank until there’s enough history for ATR
How to use
Add the indicator to your chart (Indicators → search this title → Add).
Open Settings:
Show/hide any of the 15 SMAs
Choose Strength normalization mode
Tune Strength step, Max bars, Reference length, and ATR Length
Read the table:
MA: period
Slope %: per-bar percent change of the MA
Trend: green (bullish), red (bearish), gray (neutral)
Strength: more bars = stronger trend under the chosen normalization
Inputs (quick reference)
Display:
15 toggles: Show SMA 5 … Show SMA 4320
Strength Settings:
Strength normalization: None | Length | ATR% | Length+ATR%
Strength step (normalized units): sensitivity of bar count
Max bars: clamp for the bar count (default 10)
Normalization reference length: baseline for Length scaling (default 240)
ATR Length (for ATR%): ATR lookback used for ATR%
Text:
Label font size, Table font size
Line + label colors
Bullish (slope > 0): green
Bearish (slope < 0): red
Neutral (otherwise): gray
The MA lines, end-of-series labels, and table trend cell use the same colors
Recommended presets (examples)
Intraday (e.g., BTCUSD, 1h):
Strength normalization: Length+ATR%
normRefLen: 240
Strength step: 0.02–0.05
Max bars: 10
ATR Length: 14
Daily (e.g., AAPL, 1D):
Strength normalization: Length
normRefLen: 240–480
Strength step: 0.01–0.03
Max bars: 10
Calibration tips
Bars often at max (pegged)?
Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
Limitations
SMA only (no EMA/WMA/etc.)
Per-bar slope is inherently timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons
ATR modes require atrLen bars; Strength shows blank until ready
The longest SMA (4320) needs sufficient chart history
Troubleshooting
Strength always looks maxed:
You might be on Length mode with a very small step; increase Strength step and/or use Length+ATR%; review normRefLen
Strength blank cells:
In ATR modes, wait for enough history (atrLen) or switch to Length mode
Table bounds:
The script manages rows internally; if you customize periods, ensure the total rows fit the 4×16 table
Compatibility
Pine Script v6
Works on most symbols/timeframes with adequate history
If you find this useful, consider leaving feedback with your preferred defaults (symbol/timeframe) so I can provide better presets.
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower
Overview
The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD).
It focuses only on BUY opportunities and encourages patience during market pullbacks.
The goal is to trade with the main trend, not against it.
Instructions
1. The script automatically plots 7MA (fast) and 200MA (slow).
2. When 7MA crosses above 200MA, a BUY signal appears.
3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY.
Usage Rules
• Recommended timeframe: 15-minute or higher.
• If used below 15 minutes, treat it as day trading — close trades within the same day.
• Focus on long-term holding and small lot sizes to protect your capital.
Signal Guide
🟢 BUY → Enter the trend direction.
🟠 Standby → Pause new entries and wait patiently.
Alerts
Set alerts to "Once per bar close":
• BUY Signal → Golden Cross confirmed.
• Standby Signal → Death Cross confirmed.
Philosophy
"Obey the rules, and your probability of success increases."
This system rewards patience, discipline, and long-term trend following.
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Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。
基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。
推奨時間軸：15分足以上。
15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。
ロットを小さく保ち、長期保有で安定した運用を目指してください。
Andrei Marin4 EMA MTF (M5 + M30) – Buy/Sell on Close Above/Below🚀 4 EMA MTF (M5 + M30) — Trend Power Confirmation System
Catch the trend before it takes off.
This indicator fuses multi-timeframe momentum and precision trend alignment using 4 EMAs (2 from M5 + 2 from M30). When short- and mid-term trends lock in the same direction, you get clean, high-probability Buy and Sell signals — confirmed only on bar close, no repainting.
💡 The Concept
In trending markets, real consistency comes from multi-timeframe confluence.
This tool reads both your local M5 chart and the higher-timeframe M30 to detect moments when price breaks above or below all four EMAs — meaning both intraday and swing flows are aligned.
When the M5 and M30 EMAs agree, it’s not noise — it’s momentum.
✅ BUY → Price closes above all 4 EMAs
❌ SELL → Price closes below all 4 EMAs
🔒 No repaint: All conditions confirmed after bar close.
🔍 Features
🧭 4 EMA Fusion: EMA 20 & 50 on both M5 and M30 for double-layer confirmation.
⚡ Instant Visuals: Arrows mark fresh buy/sell signals only when trend alignment occurs.
🎨 Dynamic Background: Teal = bullish control, Red = bearish momentum.
🔔 Built-in Alerts: Receive instant notifications when new signals trigger.
🧩 Customizable: Change EMA lengths, higher-timeframe (HTF), or turn visuals on/off.
🧠 How It Works
Local EMAs (M5): Fast/Slow smoothing of short-term trend.
Higher-TF EMAs (M30): Pulled securely with request.security() and no repaint settings (lookahead_off).
Signals appear only once, when a new alignment is confirmed on close — eliminating fake flips.
⚙️ Inputs
Category Parameter Default Description
M5 Settings EMA rapide / EMA lente 20 / 50 Short-term trend layer
M30 Settings Timeframe HTF 30 Medium-term confirmation
M30 EMAs EMA rapide / EMA lente 20 / 50 Higher-timeframe trend filter
Display Show Labels / Background ON / ON Optional visuals
🧭 Why Traders Love It
🔹 Crystal-clear direction — no second guessing trend bias
🔹 No laggy repainting tricks — only confirmed data
🔹 Adaptable for all assets — Forex, Indices, Crypto, Metals
🔹 Perfect companion for scalpers and intraday swing traders
This is your trend alignment radar — simple, visual, and powerful.
🔔 Alerts
BUY ALERT: “Close above EMA20/50 (M5 + M30)”
SELL ALERT: “Close below EMA20/50 (M5 + M30)”
You can connect these alerts to bots, webhooks, or notifications — stay synced with every confirmed breakout.
⚠️ Notes
This is a confirmation tool, not a standalone entry system. Combine it with:
Structure breaks or liquidity sweeps
ATR-based stop losses
Volume or session filters
🌍 Summary
4 EMA MTF (M5 + M30) delivers multi-timeframe precision with clean, non-repainting signals that align your short-term and mid-term trends.
Designed for traders who demand clarity, momentum, and discipline.
💬 “When M5 and M30 agree — the trend just got serious.”
Puell Multiple Variants [OperationHeadLessChicken]"Puell Multiple Variants" includes three related indicators for analysing Bitcoin miner revenue dynamics:
Classic Puell Multiple – the original indicator showing how current miner revenue compares to its long-term average.
Halving-Corrected Puell Multiple – applies a compensation factor to adjust for miner revenue reductions after each halving, allowing easier comparison to a consistent overvalued threshold.
Revenue RSI – a novel approach applying the Relative Strength Index to miner revenue to identify potential over- and undervalued conditions.
Each component can be shown or hidden individually.
All parameters are fully adjustable via input settings.
Volume Spike (Multi-Timeframe)Volume Spike (Multi-Timeframe)
Overview
Volume Spike (Multi-Timeframe) evaluates traded volume against its moving average on a selected timeframe so traders can identify when activity departs from recent norms.
What it does
Calculates volume on the chart timeframe or any alternate timeframe you select in the inputs.
Builds a configurable simple moving average to establish a rolling volume benchmark.
Applies distinct colors to spike and baseline volume columns to highlight deviations.
Plots the related moving-average line for reference.
Registers an alert condition when volume closes above its moving-average baseline.
How to use it
Choose the desired Volume Timeframe (leave blank to inherit the chart’s period).
Tune the Volume MA Length to balance responsiveness and noise.
Adjust the spike, base, and MA colors to align with existing chart styling.
Enable the alert condition when automated notification of spikes is needed.
Implementation notes
Timeframe selection is applied consistently to both the raw volume series and its moving average.
Color inputs allow visual adjustments without modifying code.
Alert messaging specifies that the event is a volume spike relative to the selected timeframe baseline.
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Institutional Compression Breakout (ICBO Algo) [@darshakssc]The ICBO Algo is a smart intraday trading tool that detects institutional compression zones followed by breakout confirmation. It combines candle range analysis, volume compression, EMA filtering, and ATR-based Risk/Reward zones to highlight high-probability trade setups with visual clarity.
This script is designed for educational and research purposes only, fully aligned with TradingView’s Pine Script policy and publishing guidelines.
🔍 Key Features
🌀 Compression Zone Detection
Identifies low-range, low-volume candles often formed before institutional breakouts.
📈📉 Breakout Signals
Triggered after confirmed price + EMA breakout post-compression.
📊 Dashboard Panel
Displays breakout phase, current R:R ratio, and zone status in real-time.
🟢🔴 Buy/Sell Labels with Emojis
Clean and non-intrusive labels for immediate action recognition.
🔔 Alerts Included
Receive real-time push, email, or webhook alerts for breakout signals.
⚙️ How It Works
Compression Phase:
When the candle range and volume are significantly lower than the moving average, the script flags it as a compression zone.
Breakout Confirmation:
A breakout signal is confirmed when the price breaks the previous high/low and is above/below the trend EMA.
Entry Logic:
📈 Buy: Price > previous high + above EMA after compression
📉 Sell: Price < previous low + below EMA after compression
⚠️ Disclaimer
This script is intended for educational and research purposes only. It does not constitute financial advice or recommendations of any kind. Always use proper risk management. Past performance does not guarantee future results.
Hurdle rateStocks beating BTC 50 > 200 Week EMA. The indicator is scanning the available stocks for equities that are beating BTC over mid term time frames.
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView
Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis.
Key Features
Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable).
Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing.
Customizable Moving Average settings for both Fast and Slow MA (source and length).
Efficient screener table, highlighting Golden Cross events and current asset trends in one panel.
Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels.
Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist.
How It Works
The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class.
Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table.
Trading Ideas and Insights
Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time.
Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies.
Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset.
Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations.
The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing.
How Multiple Indicators Work Together
This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance.
Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing.
Unique Aspects
True multi-symbol screener within the TradingView indicator framework.
Full customization of screener assets, timeframes, and moving averages.
Advanced, efficient use of TradingView table for clear, actionable visualization.
No dependency on standard, static MA settings—adjust everything to match your strategy.
Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers.
How to Use
Add the Golden Cross Screener Pineify to your TradingView chart.
Choose up to eight symbols—crypto, stock, forex, or custom assets.
Set four timeframes for screening, from lower to higher intervals.
Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style.
Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe.
React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences.
Customization
The indicator’s inputs panel gives full control:
Select which symbols to screen, making it perfect for any asset watchlist.
Pick the desired timeframes—mix daily, hourly, or minute-based intervals.
Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed.
Style your screener table via TradingView settings (colors, font sizes, alignment).
Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus.
Conclusion
The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
