MTF Stoch RSI + MACD Summary“MTF Stoch RSI + MACD Summary” is a multi-timeframe momentum and trend analysis indicator designed for TradingView. Its primary function is to consolidate Stochastic RSI and MACD readings from multiple user-defined timeframes—ranging from weekly to intraday—into a compact, color-coded summary table. This allows traders to assess the alignment or divergence of momentum and trend signals across different time horizons within a single chart view, providing an efficient means to identify potential trend continuations or reversals.
The script begins by defining input parameters for both indicators. For the Stochastic RSI, the user can adjust the RSI period, stochastic length, and smoothing factors for K and D lines, while for the MACD, it allows customization of the fast and slow exponential moving average lengths. Additionally, the script offers flexibility through five user-defined timeframes, enabling multi-level signal comparison. Theme and color customization options are also included to enhance visual clarity, allowing users to personalize the display according to preference or chart background.
The computational core of the script calculates the RSI based on a chosen price source (typically the closing price) and applies a stochastic transformation with smoothing to determine momentum extremes—classifying them as overbought, mid-high, mid-low, or oversold depending on their numeric range. The MACD component, computed as the difference between the fast and slow EMAs, is evaluated to determine its state: whether it is crossing upward, crossing downward, above zero, or below zero. These states represent shifts in market momentum and potential trend direction. Both Stochastic RSI and MACD values are retrieved from each selected timeframe using the request.security() function, allowing the indicator to integrate higher and lower timeframe data in real time.
Each indicator reading is then converted into a descriptive label and paired with a specific background color for intuitive visual classification. The script organizes this information into a dynamic table displayed at the top-right corner of the chart. This table consists of three columns—timeframe, Stoch RSI status, and MACD status—and automatically updates with the latest market data on every bar close. Through this tabular format, traders can quickly interpret market conditions without having to switch between multiple charts or apply numerous separate indicators.
Overall, the MTF Stoch RSI + MACD Summary acts as a comprehensive dashboard that integrates momentum and trend indicators across multiple timeframes. By presenting data in a simplified visual layout, it enables traders to make more informed decisions based on the consistency of market signals. This facilitates clearer identification of overbought or oversold conditions, confirmation of trend strength, and early detection of potential reversals, making it a valuable tool for multi-timeframe technical analysis.
震盪指標
HTF MACD Dual Zero Cross + First EMA PullbackThis script aims to get the trader on the right side of the momentum and get better entries by only alerting when price pulls back to the trader's specified EMA.
This script isnt meant to catch tops or bottoms but to trade with the momentum once it starts.
This script will alert whe nthe MACD and signal line both cross the zero line, after that the script waits for price to make a pullback and then alet either a sell or buy. Ive found this works best when you trade with the trend on a higher timeframe.
You can use whatever MACD settings you prefer and really customize this to the asset youre trading.
You can also change whether you get an alert based on a wick touch of the EMA or a candle close.
Zone Tap Counter: Support & Resistance StrengthWhat is this indicator?
This script is designed to help traders objectively monitor the strength and significance of price zones by counting and visualizing how many times price “taps” confirmed support and resistance levels. The indicator leverages swing high/low detection to automatically plot relevant zones and uses price tap frequency as an objective strength metric.
How does it work?
Zone Identification:
The script uses the Pine Script functions ta.pivothigh and ta.pivotlow to detect confirmed swing highs and lows on your chart. Each swing high establishes a resistance zone, and each swing low establishes a support zone.
Only confirmed pivots are used, ensuring all signals are strictly non-repainting.
Tap Counting Logic:
For every candle, the indicator checks whether price touches (comes within a small, user-set tolerance) of any currently tracked support or resistance zone. To avoid counting repeated taps in the same move, the script ensures only unique bar taps are registered.
Each time price taps a zone, a counter for that zone is incremented.
Both the tolerance for taps (percentage-based), and the depth/history of zones tracked are fully adjustable in settings.
Visual Feedback:
Zones with more taps are drawn darker (lower transparency), making it easy to spot the strongest/hardest-tested levels on the chart.
A label on each zone displays the current tap count (e.g., "3x"), giving direct feedback about which support/resistance are most significant in the current view.
Only recent zones (user-configurable) are shown to keep charts clear and useful.
How to use it:
Add the indicator to your TradingView chart.
Set the swing length and tap tolerance in settings to match your market or timeframe (short swing length for scalping, longer swings for bigger structure).
Watch for zones with high tap counts and darker lines: These zones represent areas where price has repeatedly reacted, suggesting they may be important for your trading decisions.
You can adjust the minimum number of taps needed for a zone to be highlighted and the number of zones to display for your preferred visual clarity.
Combine this tool with other analysis for confirmation—tap counts should not be seen as trading signals, but as supporting information.
Originality & Calculation Details:
This script does NOT simply merge or overlay existing indicators. The calculation method is original: it uses swing-based support/resistance and applies unique tap-count logic, designed for objective zone strength visualization.
No repainting logic is present.
All code and visualization methods are documented and transparent.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not predict future price movement, guarantee profits, or recommend specific trades. Always use your own analysis and risk management. See TradingView’s House Rules for more details.
Supertrend Dual-Zone Channel V2**Supertrend Dual-Zone Channel V2**
Advanced Supertrend with Dual-Zone Visualization, Breakout Counter, and Dynamic Labels
A powerful upgrade to the classic Supertrend indicator that displays two distinct zones:
• Bullish Channel (green): Active when price is above the Supertrend line
• Bearish Channel (red): Active when price is below the Supertrend line
Key Features
• Dual-Zone Fill System: Clearly separates bullish and bearish regimes with semi-transparent channel fills for instant trend context.
• Reverse Tracking Lines: Shows the opposite-direction Supertrend band (faint green/red lines) to highlight potential reversal zones.
• Automatic Breakout Counter: Counts consecutive breaks into the opposite tracking band.
- Green labels below bars: Bullish breakouts (price closes above bearish tracking line while in uptrend)
- Red labels above bars: Bearish breakouts (price closes below bullish tracking line while in downtrend)
• Clean Label Management: Uses arrays to store labels with tooltips showing breakout sequence number.
• Mid-Channel Reference: Invisible midline based on (high + low)/2 for internal fill logic (not plotted).
How to Use
• Strong Trend Confirmation: Price staying within its colored channel = healthy trend.
• Pullback Entries: Look for price touching the faint reverse tracking line without breaking it.
• Breakout Signals: Labeled breakouts (1st, 2nd, 3rd...) often precede trend exhaustion or acceleration.
• Works on all timeframes and assets.
Inputs
• Factor (default: 3.0) – Sensitivity of the Supertrend bands
• ATR Period (default: 10) – Lookback period for volatility calculation
Visuals
• Thick green/red line: Current active Supertrend
• Faint opposite-color line: Reverse tracking band
• Light green/red fills: Bullish/Bearish zones
• Numbered labels: Sequential breakout counter
Fully optimized with max_lines_count=500 and max_labels_count=500.
Clean, lightweight, and highly readable on chart.
Version 2 – Improved labeling, better zone separation, and smarter counter reset on trend change.
Perfect for trend-following, pullback trading, and spotting potential reversals.
Happy trading!
====================================================================================
**Supertrend 双区通道 V2**
高级超级趋势指标：双色通道可视化 + 突破计数器 + 动态标签
经典 Supertrend 的强力升级版，通过 **双区通道** 直观区分多空状态：
• 多头通道（绿色）：价格位于 Supertrend 上方时激活
• 空头通道（红色）：价格位于 Supertrend 下方时激活
### 核心功能
• 双区填充系统：半透明通道填色，一眼分辨当前多空主导区域
• 反向轨道线：显示对立方向的 Supertrend 带（淡绿/淡红虚线），清晰标记潜在反转区域
• 自动突破计数器：统计价格连续突破反向轨道的行为
- 绿色标签（K线下方）：多头突破（多头趋势中收盘突破空头轨道）
- 红色标签（K线上方）：空头突破（空头趋势中收盘跌破多头轨道）
• 智能标签管理：使用数组存储标签，带工具提示显示突破序号
• 通道中轴：基于 (high + low)/2 的隐形中线，仅用于填充逻辑（不显示）
### 使用方法
• 趋势健康：价格始终停留在同色通道内 = 强势趋势
• 回调入场：价格触及淡色反向轨道但未突破 = 优质回调机会
• 突破信号：连续编号突破（第1次、第2次…），根据不同品种设定自定义的突破次数，btc通常五次突破后才会衰竭。
• 适用于所有周期、所有品种
### 输入参数
• 倍数（默认 3.0）：控制 Supertrend 带的灵敏度
• ATR周期（默认 10）：波动率计算周期
### 视觉元素
• 粗实线（绿/红）：当前生效的 Supertrend 主线
• 细虚线（淡绿/淡红）：反向轨道线
• 浅色填充：多头/空头通道区域
• 编号标签：突破序号（从0开始计数）
**V2 版升级**：优化标签逻辑、更好区域分隔、趋势切换时自动归零计数器。
祝交易顺利！
Twiggs Go Money Flow Enhanced [KingThies]█ OVERVIEW
The Twiggs Money Flow (TMF) is a volume-weighted momentum oscillator that
measures buying and sellistng pressure by analyzing where price closes within
each bar's true range. It's an enhanced version of Chaikin Money Flow that
uses Wilder's smoothing method, providing better trend persistence and
smoother signals.
The indicator oscillates around a zero listne:
Values above zero indicate accumulation (buying pressure)
Values below zero indicate distribution (sellistng pressure)
TMF was developed by Colistn Twiggs as an improvement over traditional money
flow indicators by incorporating true range calculations and Wilder's
exponential moving average.
█ CONCEPTS
True Range Boundaries
TMF calculates a modified true range for each bar by comparing the current
bar's high and low with the previous close:
True Range High = maximum of (previous close, current high)
True Range Low = minimum of (previous close, current low)
This accounts for overnight gaps and ensures price continuity between bars.
Average Daily Value (ADV)
The ADV represents the portion of volume attributable to buying versus sellistng:
ADV = Volume × ((Close - TR Low) - (TR High - Close)) / True Range
When price closes near the high of the true range, ADV is positive and large.
When price closes near the low, ADV is negative and large.
A close in the middle produces values near zero.
Wilder's Moving Average
Unlistke simple moving averages, Wilder's smoothing method gives more weight
to recent values while maintaining memory of historical data:
WMA = (Previous WMA × (Period - 1) + Current Value) / Period
This creates smoother trends that are less prone to whipsaws than standard
moving averages.
Final Calculation
TMF = Wilder's MA(ADV, Period) / Wilder's MA(Volume, Period)
By dividing smoothed ADV by smoothed volume, TMF normalistzes the reading and
makes it comparable across different securities and timeframes.
█ HOW TO USE
Zero listne Crossovers
The most straightforward trading signals:
A cross above zero suggests buyers are gaining control.
Consider this a bullistsh signal, especially when confirmed by price action.
A cross below zero suggests sellers are gaining control.
Consider this a bearish signal.
The longer TMF remains above or below zero, the stronger the trend.
Extreme Values
Strong positive or negative readings indicate intense buying or sellistng pressure:
Sustained high positive values (above +0.4) suggest strong accumulation
but may also indicate overbought conditions.
Sustained low negative values (below -0.4) suggest strong distribution
but may also indicate oversold conditions.
These extremes work best when used in conjunction with price levels and
support/resistance zones.
Divergences
Divergences between price and TMF often signal potential reversals:
Bearish divergence: Price makes a higher high but TMF makes a
lower high — suggests buying pressure is weakening despite rising prices.
Bullistsh divergence: Price makes a lower low but TMF makes a
higher low — suggests sellistng pressure is weakening despite fallistng prices.
Trend Confirmation
Use TMF to confirm the strength of existing trends:
In an uptrend, TMF should remain mostly positive with occasional dips below zero.
In a downtrend, TMF should remain mostly negative with occasional rises above zero.
If TMF contradicts the price trend, consider the trend weak or potentially ending.
█ FEATURES
Period (default: 21)
The lookback length for Wilder's moving average calculation:
Shorter periods (10–15) make TMF more responsive to recent changes but
increase noise and false signals.
Longer periods (30–50) create smoother readings but lag price action more
significantly.
The default 21-period setting balances responsiveness with relistabilistty.
Consider adjusting the period based on your trading timeframe and the
volatilistty of the security you're analyzing.
█ LIMITATIONS
TMF is a lagging indicator due to its smoothing method. Signals may occur
after optimal entry or exit points.
In low-volume or illistquid markets, TMF can produce erratic readings that
may not reflect true buying or sellistng pressure.
Ranging or choppy markets often generate frequent zero-listne crosses that
can lead to whipsaws.
listke all volume-based indicators, TMF's relistabilistty depends on accurate
volume data.
For securities with unrelistable volume reporting, consider using
price-based momentum indicators instead.
█ NOTES
This indicator uses area-style plotting in the original version to visualistze
the magnitude of buying and sellistng pressure. The filled area makes it easy
to see at a glance whether the market is in accumulation or distribution mode.
TMF works on any timeframe but tends to be most relistable on daily charts
where volume data is most accurate and meaningful.
█ CREDITS
Original indicator developed by
LazyBear .
Based on the Twiggs Money Flow concept from Incredible Charts:
Incredible Charts – Twiggs Money Flow .
RSI MTF Table - 12 Pairs (1,5,15)
The relative strength index measures the speed and magnitude of an asset's recent price changes. Therefore, it is considered a momentum indicator in technical analysis. Essentially, the RSI is the ratio of the days an asset's value increases to decreases over a given period.
Generally speaking, if the RSI is around 50, we do not expect strong movements. RSI above 65 or below 35 are areas we expect. In this context, this chart and the general momentum in 1-5-15 minutes allow us to quickly determine the parity we will trade. It is useful for intraday trading and scalping.
Reddington Trading Bot Adaptive Signals# Reddington Trading Bot Adaptive Signals — mashup disclosure & user guide
## What it is
**Reddington Trading Bot Adaptive Signals** is a **manual trading** overlay that aggregates multiple entry logics (Supertrend, Bollinger, MACD, Counter-Trend, Scalp) behind a single, adaptive filter stack (EMA trend, ADX strength, ATR regime, volume, RSI band, sessions, candle confirmation).
When a setup passes all gates, the script **marks the bar** with a label (e.g., `ST Long ####`) and plots **Entry / SL / TP / Half-TP** reference lines for discretionary execution.
> This is an **indicator**, not an autostrategy. It does not place orders or manage positions.
---
## Mashup disclosure — what’s combined and why
This script is a **mashup** designed to reduce false positives by requiring **confluence** across trend, momentum, volatility, and liquidity:
* **Trend filter (EMAs)** — `ema_short > ema_long` for longs and vice versa for shorts.
*Why:* prevents fighting the dominant direction.
* **Supertrend direction** — uses `ta.supertrend()` to pick continuation states.
*Why:* captures impulse while controlling whipsaw.
* **Bollinger context** — upper/lower band interaction for breakout/overshoot logic.
*Why:* detects expansion and extreme deviations.
* **MACD cross (12/26/9)** — confirms momentum turns with `ta.macd`.
*Why:* times transitions into continuation.
* **RSI band** — between configurable overbought/oversold levels.
*Why:* avoids chasing exhaustion.
* **ADX strength (manual DI+/DI− → DX → RMA)** — trend quality gate.
*Why:* filters out chop when trend quality is weak.
* **ATR regime window** — ATR between low/high multiples of its baseline.
*Why:* trades when volatility is “tradable”, not too thin or too wild.
* **Volume filter** — volume ≥ SMA(volume, N).
*Why:* favors liquid conditions and cleaner ticks.
* **Session gate (Asia/EU/US)** — run only in chosen UTC windows.
*Why:* aligns with hours of depth, fewer fake breaks.
* **Candle confirmation** — simple **bar-over-bar**/**bar-under-bar** check.
*Why:* a last safety check to avoid immediate reversals.
The **strength** of the mashup is that each module covers a blind spot of the others, so a signal only prints when *trend + momentum + volatility + liquidity* line up.
---
## Non-repaint & timing notes
* The script **does not** use `request.security()`; all logic is computed on the active chart TF with standard Pine series semantics.
* Conditions can evolve **intra-bar**. For conservative usage, **confirm on bar close** before executing.
* Plotted levels (Entry/SL/TP/Half-TP) are reference guides; fills depend on your execution and venue slippage.
---
## Inputs (concise)
* **Supertrend multiplier**; **ADX threshold**; ATR low/high multiples; **RSI overbought/oversold**.
* **Sessions**: enable/disable Asia, Europe, America (UTC).
* Internal periods are **auto-scaled** from a 300-sec base via `timeframe.in_seconds()`, adapting the signal windows to your chart TF.
---
## Entry families (built-in)
* **ST (Supertrend continuation)**
Long: ST up + EMA short>long + below BB upper + ADX>th + volume/ATR/RSI ok + candle confirm + session.
Short: symmetric.
* **BB (Bollinger context)**
Long: close > BB upper + quality gates; Short: close < BB lower + quality gates.
* **MACD (momentum cross)**
Cross up/down with quality gates and candle confirm.
* **CT (Counter-trend poke)**
Long: close < BB lower with distance to middle > 1% and RSI<50; Short: mirror.
*Use sparingly; relies on strong quality gates to avoid catching knives.*
* **SC (Scalp EMA5/EMA10 cross)**
With mid-RSI, ADX>20, and all quality gates.
**Position state** is tracked internally (series vars) so that once in a trade, the script monitors **SL**, **Half-TP**, and **TP** hits and prints corresponding labels.
---
## On-chart visuals
* **Entry/SL/TP/Half-TP** lines (cross style), visible **only while a position is tracked**.
* **Bar labels** on entry (` Long/Short ####`), on SL/TP/Half events.
* A small **session/ticker/TF tag** on the last bar.
---
## How to trade it (suggested checklist)
1. **Wait for the label** (e.g., `ST Long …`) and check that all quality filters are green (they are enforced inside the code).
2. Execute **at your discretion** (market/limit); the script’s **Entry** level is the reference (close or your own limit).
3. Place **SL/TP** according to the printed levels; optionally scale at **Half-TP**.
4. Prefer **bar-close confirmation** on faster TFs to reduce intra-bar noise.
5. Respect your own risk rules (position sizing, max daily loss, news filter).
---
## Recommended timeframes & markets
* Designed for **intraday** use (e.g., **5m–15m**) where volume and sessions matter.
* Works on crypto perpetuals/spot and liquid FX/CFD symbols; threshold tuning may be required per venue.
---
## Limitations & tips
* It’s **one** layer of confirmation; don’t force trades in flat liquidity or into major news.
* CT/Scalp entries are more sensitive to noise; if you prefer higher selectivity, raise **ADX threshold** and narrow **ATR window**.
* Because conditions can change **within a bar**, **alerts** are best set to trigger **on bar close** if you add `alertcondition()` hooks (not included in this base).
---
## Disclaimer
This script is for **educational purposes only** and does **not** constitute financial advice, investment recommendation, solicitation, or an offer to buy/sell any instrument. Trading involves risk; past results do not guarantee future performance. You are solely responsible for your trading decisions and outcomes.
Multi-Timeframe RSI + MA - Santosh - BangaloreThis script has a combined 5 and 15 min RSI's together in one indicator. Created using AI.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
GIBBS911-10 - ScalpMaster Dual RSI PRO v5 - Timeframe: 3M (better signal-to-noise ratio) or 5M if you want fewer trades.
LONG entry: RSI 24 crosses 50 upwards RSI 5 smooth 14 already > 50 .
Price ABOVE EMA 21 Volume > 1.8x average 20 periods → Market entry, SL below the last low (-0.4% max)
Exit: RSI 5 smooth 14 breaks 50 down → output 70% position TP remaining at +1.8% or trail stop on EMA 9 → Average ratio 1:2.7
ANTI-LOSS Filters: Never during news (red on ForexFactory)
Only if ATR(14) > average → volatile market Max 3 trades/hour, otherwise you burn out
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD. A combination of three indicators. The important thing is that they have a BUY or SELL alert, so it makes it easy to understand the numbers.
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD indicator. It combines these three indicators. It tells whether the trend is bullish or bearish. Multi-timeframe.
MACD + StochasticMACD + Stochastic 14 Scenarios - Complete Signal Analysis
Combines MACD and Stochastic Oscillator to identify 14 different market scenarios based on crossover timing and indicator positioning.
🎯 Signal Strength Classification:
• STRONG (⭐⭐⭐⭐⭐): Both indicators cross together - highest confidence
• MODERATE (⭐⭐⭐⭐): One crosses while other confirms - good confidence
• WEAK (⭐⭐): Conflicting signals - low confidence
📊 Visual Features:
✓ Color-coded shapes on chart (triangles, circles, X marks)
✓ Scenario labels (1-16, excluding 12 & 14)
✓ Real-time info table showing current status
✓ Customizable signal display (show/hide by strength)
✓ Built-in alerts for all signal types
Perfect for swing traders and position traders looking for high-probability entries with dual indicator confirmation. Use on daily
timeframe for best results.
Includes toggleable display options for strong, moderate, and weak signals.
Ultimate Prime Hyper Oscillator Pro [TraderCloud]추세, 변동성, 모멘텀, 평균회귀 모든 분석과 원리를 분석할 수 있는 최고의 오실레이터.
맨 상단에는 고래의 매수와 매도 시그널을 보여준다.
중간에는 rsi, mfi, rci, cci 등의 과열/과냉 지표를 로지스틱 회귀 평활화로 복합 운영하는 종합 모멘텀 오실레이터이다. 단기, 중기, 장기 이렇게 3가지의 기간별 다이버전스와 히든 다이버전스를 시각화한다.
또한 오실레이터 중간에 있는 히스토그램은 lazybear의 squeeze momentum oscillator를 기반으로 제작한 히스토그램 지표이다.
주요 변동성 오실레이터 바로 상/하단에는 히스토그램과 UPO 오실레이터의 추세가 동일하거나, 잠재성을 가질 때를 시각화해서 보여준다.
아래에는 중단기 추세를 Chop Zone 형식으로 시각화해서 보여준다.
아래 얇은 막대의 자잘 자잘한 신호들은 중단기적 평균회귀 구간을 보여준다.
마지막으로 테이블은 타임별 오실레이터의 추세를 간략화해서 정리해준다.
“The ultimate oscillator capable of analyzing all aspects of trend, volatility, momentum, and mean reversion.”
At the very top, it displays whale buy and sell signals.
In the middle, it functions as a comprehensive momentum oscillator that combines and smooths overbought/oversold indicators such as RSI, MFI, RCI, and CCI through logistic regression. It visualizes three types of divergences — short-term, mid-term, and long-term — as well as hidden divergences.
The histogram located in the center of the oscillator is based on LazyBear’s Squeeze Momentum Oscillator.
Right above and below the main volatility oscillator, it visualizes when the histogram and UPO oscillator share the same trend or show potential correlation.
At the bottom, mid- to short-term trends are visualized in a Chop Zone style.
The small thin bars below indicate short- to mid-term mean reversion zones.
Finally, the table provides a simplified summary of each oscillator’s trend by timeframe.
Pulse RSI | Lyro RSPulse RSI | Lyro RS
The Pulse RSI is a momentum oscillator that enhances the traditional RSI by incorporating volume-weighted price and linear regression. It generates multiple trading signals, including trend shifts, overbought/oversold conditions, and custom threshold levels.
By integrating both price and volume into its calculation, Pulse RSI is more robust and responsive than the standard RSI. This helps you identify trends faster, spot potential reversals sooner, and set up custom alerts based on your own strategy.
Key Features
Four Signal Types:
Type 1 (Trend): Triggers when the indicator's current value crosses its previous value, highlighting short-term momentum shifts.
Type 2 (Midline Trend): The classic midline cross. A bullish bias is indicated above 50, while a bearish bias is indicated below 50.
Type 3 (Overbought/Oversold): Flags potential reversal zones, suggesting where buying or selling opportunities may emerge.
Type 4 (Custom Thresholds): This type lets you define your own threshold levels. Instead of following a trend, use it to mark your specific conditions for a reversal. For example, set a long reversal at a low level (e.g., 5) for an early buy signal, or a short reversal at a high level (e.g., 80) for an early sell signal.
Calculation Method:
The indicator uses a volume-weighted price (Close * High * Low) and applies linear regression to smooth the data. This creates a unique and more stable oscillator, avoiding the chaotic movement seen in others.
Color System:
Choose from multiple color themes like Classic, Mystic, Accented, and Royal, or create your own custom colors for bullish and bearish signals.
Visual Plotting:
Features a clear plot with a glow effect, a midline, adjustable threshold lines, and shapes/labels to mark long/short and overbought/oversold signals.
Alerts:
Instant alerts are available for every signal type, which you can quickly enable based on your trading conditions.
How It Works:
Core Calculation
The indicator calculates a volume-weighted price using (Close * High * Low) multiplied by the absolute volume. This value is then smoothed with linear regression and converted into an oscillator, normalized to a 0-100 scale.
Trading Logic:
Bullish Signals: Trigger when the main plot line crosses above a key level—be it the previous value, the 50 midline, or a custom threshold.
Bearish Signals: Trigger when the main plot line crosses below a key level.
Visual Logic:
The system displays a main plot line, colors candles, and plots signal shapes, all customizable through a variety of color schemes.
Practical Use
Trend Confirmation (Types 1 & 2): Use Type 1 for early momentum shifts and Type 2 to confirm the overall trend direction.
Reversals (Type 3): Consider long entries when oversold signals fire, suggesting an asset is undervalued. Look for exits at overbought signals, which suggest a potential downward reversal.
Custom Thresholds (Type 4): Set tight thresholds to catch early trends and reversals. Be aware that more sensitive settings may also increase false positives.
Customization:
Adjust the Length: A higher setting makes the indicator more suited for long-term trends, while a lower setting makes it more sensitive for short-term moves.
Enable/Disable Signals: Turn the four signal types on or off to match your trading style.
Set Your Levels: Fully adjustable thresholds for Type 4 long/short conditions.
Choose Your Colors: Select from a variety of color schemes for all bullish and bearish elements.
⚠️ Disclaimer
This indicator is a tool for technical analysis and does not guarantee results. It should be used alongside other analysis methods and solid risk management practices. The creators are not responsible for any financial decisions made based on its signals.
RSI(Min-Max)RSI (Min-Max) is an enhanced version of Welles Wilder's Relative Strength Index, designed to offer greater analytical precision and dynamic insight into the behavior of the RSI within each candlestick.In addition to displaying the traditional RSI value, this script calculates the possible extreme values — the minimum and maximum RSI — based on the low and high prices of the current candle. This allows you to estimate how the RSI would react if the price moved to the extremes of the bar, providing a predictive and refined reading of momentum.
ADX Trend Strength Filter + TRAMA [DotGain]Summary
Are you tired of trading trend signals, only to get stopped out in volatile, sideways chop?
The ADX Trend Strength Filter (ADX TSF) is designed to solve this exact problem. It is a comprehensive trend-following system that only generates signals when a trend not only has the right direction and momentum, but also sufficient strength.
This indicator filters out weak or indecisive market phases (the "chop") and will only color the bars Green or Red when all conditions for a strong, confirmed trend are met.
⚙️ Core Components and Logic
The ADX TSF relies on a triple-filter logic to generate a clear trade signal:
Trend Filter (TRAMA): A TRAMA (Trending Adaptive Moving Average) is used as the main trendline. This adaptive average automatically adjusts to market volatility, acting as a dynamic support/resistance level.
Price > TRAMA = Bullish
Price < TRAMA = Bearish
Momentum Filter (RSI Crossover): Momentum is measured by a crossover of two moving averages of the RSI (a fast EMA and a slow SMA). This confirms whether the momentum is pointing in the same direction as the trend.
Strength Filter (ADX): This is the most important filter. A signal is only considered valid if the ADX (Average Directional Index) is above a defined threshold (Default: 30). This ensures the trend has sufficient strength.
🚦 How to Read the Indicator
The indicator has three states, displayed directly as bar colors on your chart:
🟩 GREEN BARS (Strong Uptrend) All three conditions are met:
Price is above the TRAMA.
RSI momentum is bullish (Fast MA > Slow MA).
ADX is above 30 (Strong trend is present).
🟥 RED BARS (Strong Downtrend) All three conditions are met:
Price is below the TRAMA.
RSI momentum is bearish (Fast MA < Slow MA).
ADX is above 30 (Strong trend is present).
🟧 ORANGE BARS (Neutral / Caution) This state appears if any of the following conditions are true:
Weak Trend: The ADX is below 30. The market is in consolidation or a sideways phase. (This is the primary filter!)
Indecision: The price is caught in the "Neutral Zone" between the TRAMA and the 200 SMA.
Visual Elements
Bar Colors: (Green/Red/Orange) Show the current trend status.
TRAMA (Orange Line): Your primary adaptive trendline.
200 SMA (White Line): Serves as a reference for the long-term trend.
Orange Background (Fill): Fills the area between the TRAMA and SMA to visually highlight the "Neutral Zone."
Key Benefit
The goal of the ADX TSF is to keep traders out of weak, unpredictable markets and help them participate only in strong, momentum-confirmed trends.
Have fun :)
Disclaimer
This "Buy The F*cking Dip" (BTFD) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Cumulative Delta_Effort vs Result_immy**Cumulative Delta Oscillator\_effort**
This script creates a “Cumulative Delta Effort vs Result” oscillator, a custom indicator designed to measure the balance between buying and selling pressure (Effort) versus actual price movement (Result).
**How It Works**
Delta Volume: Measures aggressive buying vs selling per candle.
Cumulative Delta: Tracks net buying/selling pressure over time.
Effort vs Result: Compares volume delta (effort) to price movement (result).
Oscillator: Highlights divergence between effort and result, useful for spotting absorption (high effort, low result) and exhaustion (low effort, high result).
Histogram: Visual cue for accumulation/distribution zones.
----------------------------
This indicator combines volume delta (effort) and price movement (result), so it tells you how efficiently volume is moving price — a concept sometimes called effort vs. result analysis in Wyckoff or volume–spread analysis (VSA).
🔍 Concept Summary
Effort (delta volume) = how much buying/selling pressure is there (volume side).
Result (price change) = how much that effort moves price (price side).
Oscillator (Effort − Result) = how much “extra” effort is not producing movement — often showing absorption or exhaustion.
📈 How to Interpret the Signals
1\. Oscillator above Signal line → Bullish Momentum
When osc > signal, histogram turns green.
Means buying effort is stronger than price reaction — often early sign of accumulation or rising demand.
This can signal:
Possible bullish continuation if confirmed by rising prices.
Or early absorption if prices aren’t yet breaking out (smart money absorbing supply).
✅ Bullish Entry Signal:
When the oscillator crosses above the signal line (green cross) and price is near support or consolidating → potential long setup.
2\. Oscillator below Signal line → Bearish Momentum
When osc < signal, histogram turns red.
Selling effort dominates; can mean increasing supply or price exhaustion.
This often appears before:
Bearish continuation (trend strengthening)
Or upthrust/exhaustion (price rising on weak volume)
❌ Bearish Entry Signal:
When the oscillator crosses below the signal line (red cross), especially if near resistance → potential short setup.
3\. Crossovers
The alert is triggered when: ta.cross(osc, signal)
That means:
Bullish crossover: oscillator line crosses above signal → potential buy momentum shift.
Bearish crossover: oscillator line crosses below signal → potential sell momentum shift.
These work like MACD crossovers, but volume-adjusted.
4\. Zero Line
The zero line is the neutral point.
When osc crosses above zero, overall buying effort exceeds price change — market gaining strength.
When osc crosses below zero, selling pressure increases — market weakening.
→ Combining signal line crosses with zero-line crosses gives stronger confirmation.
5\. Histogram Analysis (Absorption \& Exhaustion)**
Tall green bars: rising momentum (buyers dominate)
Tall red bars: falling momentum (sellers dominate)
Shrinking bars: momentum fading — possible reversal zone.
If volume increases but price stalls, oscillator may spike while price stays flat — absorption (big players taking the opposite side).
If price surges but oscillator weakens, exhaustion — move running out of volume support.
------------------------------------------------------------------------
🧠 Practical Strategy Example
Situation What It Might Mean Possible Action
Oscillator crosses above signal near support Buyer effort increasing, price may rise Go long / close shorts
Oscillator crosses below signal near resistance Seller effort rising, price may drop Go short / take profits
Oscillator high but price flat Absorption (big players absorbing supply) Wait for breakout confirmation
Oscillator low but price flat Absorption (demand absorbing supply) Look for bullish reversal
Oscillator diverges from price Volume–price divergence Early warning of reversal
⚙️ Best Practice
Works best on volume-sensitive assets (futures, crypto, forex tick data).
**Combine with:**
Price structure (support/resistance)
Volume profile / delta footprint
Candle confirmation
We’ll go through both bullish and bearish examples so you can see how to trade with it in real market context.
---------------------------------------------------------------------------------
🟩 Example 1 — Bullish Setup (Long Trade)
Step 1. Context: Identify Potential Support Zone
Before relying on any indicator, find support using:
Previous swing low
Demand zone
VWAP / volume profile node
Trendline or moving average
👉 You’re looking for a place where buyers might step in.
Step 2. Wait for Oscillator Signal
Watch the oscillator panel:
The oscillator (green line) has been below the signal line (orange) → bearish phase.
Then it crosses above the signal line and the histogram turns green.
This means:
➡️ Buying “effort” is increasing faster than price reaction — momentum shift upward.
Step 3. Confirm with Price
On your chart:
Candle closes above short-term resistance or above previous candle high
Ideally volume confirms (green candle with increasing volume)
✅ Bullish Entry Condition
osc crosses above signal
price closes above local resistance
Step 4. Entry \& Stop
Entry: Next candle open after confirmation cross
Stop-loss: Below recent swing low or support zone
Take profit:
2R or 3R target
or near next resistance level
🧠 Optional filter: Only take the trade if oscillator is rising from below zero (coming out of weakness).
Step 5. Manage Trade
If oscillator flattens or starts curling down → tighten stop
If it crosses below the signal again → consider exit
Example Interpretation:
Oscillator crosses above signal from -200 to +100, histogram turns green, price breaks a resistance line → strong bullish reversal → enter long.
🟥 Example 2 — Bearish Setup (Short Trade)
Step 1. Context: Find Resistance
Look for: Prior swing high
Supply zone
Major moving average
Trendline top
Step 2. Wait for Oscillator Cross Down
The oscillator (green) crosses below the signal line (orange).
Histogram turns red.
This means:
➡️ Selling effort is rising relative to price movement — bearish pressure.
Step 3. Confirm with Price
Price fails to make higher highs, or
Forms a bearish engulfing candle near resistance.
✅ Bearish Entry Condition
osc crosses below signal
price confirms with bearish candle
Step 4. Entry \& Stop
Entry: On next candle open
Stop-loss: Above resistance or recent swing high
Take profit: 2R or more or at next major support
Step 5. Exit on Opposite Signal
If oscillator crosses back above signal → momentum shift → exit short.
⚙️ Pro Tips
Tip Why It Matters
Use on 15m–4H+ charts More reliable delta signal
Combine with volume or OBV Confirms “effort” strength
Watch divergences Early reversals
Align with higher timeframe trend Avoid countertrend traps
-------------------------------------------------------------------------------------------------
🧩 Quick Checklist
Step Condition Action
1 Identify zone (support/resistance) Mark area
2 Oscillator crossover Prepare order
3 Candle confirmation Enter
4 Stop-loss \& target Manage risk
5 Opposite cross Exit
Please follow and like if you appreciate my work. thank you.
RSI + MACD Multi-Timeframe StrategyThis strategy combines the Relative Strength Index (RSI) from the daily timeframe with the Moving Average Convergence Divergence (MACD) from the 4-hour timeframe to generate precise long entry and exit signals.
The system uses a multi-timeframe approach to align longer-term trend conditions with shorter-term momentum shifts — allowing traders to catch dips with confirmation and exit before reversals.
🧠 Strategy Logic
✅ Long Entry Condition:
- RSI on the daily (1D) timeframe is oversold (below your defined threshold)
- MACD on the 4H timeframe crosses above the signal line
→ A long trade is opened when these two align
✅ Long Exit Condition:
- RSI on the daily timeframe is overbought
- MACD on the 4H timeframe crosses below the signal line
→ The long trade is closed when these two conditions are met
💡 This strategy currently supports long entries only. Short logic can be added if needed.
📊 Indicator Components
🔹 RSI (Relative Strength Index):
- A momentum oscillator that measures the speed and magnitude of price changes.
- Helps identify overbought (potential sell) and oversold (potential buy) conditions.
- Applied on the 1D timeframe (by default) to reflect broader market trend or exhaustion levels.
🔹 MACD (Moving Average Convergence Divergence):
- A trend-following momentum indicator based on moving averages.
- The MACD Line (fast EMA - slow EMA) crossing above the Signal Line indicates bullish momentum.
- Used here on the 4-hour timeframe (by default) for shorter-term momentum confirmation.
🔹 Multi-Timeframe (MTF) Logic:
- Uses request.security() to pull higher timeframe data (1D for RSI, 4H for MACD).
- Ensures no repainting, as it only uses closed candles from the higher timeframe.
- Aligns longer-term signals with shorter-term entries, reducing false signals.
📈 Plotting Options
The script includes a plot selector input allowing you to toggle between:
- RSI Plot (with overbought/oversold lines)
- MACD Plot (MACD line and signal line)
- This helps visualize signal conditions clearly on your chart.
🛠 Customization
- RSI & MACD settings are fully configurable
- RSI and MACD timeframes can be adjusted independently
⚠️ Disclaimer
This strategy is provided for educational and informational purposes only.
It is not financial advice or a recommendation to buy or sell any asset.
Past performance does not guarantee future results. Always test strategies in a simulated environment before live use, and consult with a licensed financial advisor for investment decisions.
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform
Overview
An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives.
Evolution Beyond Traditional Fisher Transform
While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements:
- Multi-period composite instead of single timeframe analysis
- Robust z-score normalization using median/MAD rather than mean/standard deviation
- Winsorization to handle outliers and price spikes
- Dynamic clipping that adapts to market volatility
- Kalman filtering for superior noise reduction vs. traditional EMA smoothing
These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform.
Key Features
Multi-Period Analysis
- Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods
- Weighted Composite: Combines all three periods using customizable weights for optimal signal generation
- Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis
Advanced Statistical Methods
Robust Z-Score Calculation
- Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation
- More resistant to outliers and extreme price movements
- Provides stable normalization across varying market conditions
Winsorization
- Caps extreme price values at specified percentiles (default 5th and 95th)
- Reduces the impact of price spikes and anomalies
- Configurable lookback period for threshold calculation
Dynamic Z-Score Clipping
- Automatically adjusts clipping levels based on recent volatility
- Tighter bounds in calm markets (0.05) for precision
- Wider bounds in volatile markets (0.2) to capture significant moves
- Uses ATR-based volatility measurement
Kalman Filter Smoothing
- Optional advanced noise reduction using Kalman filtering
- Superior to traditional EMA smoothing for optimal signal extraction
- Configurable process noise (Q) and measurement noise (R) parameters
- Fallback to traditional smoothing factor available
How to Use
Basic Interpretation
- Above Zero: Bullish momentum
- Below Zero: Bearish momentum
- Extreme Values: Potential overbought/oversold conditions
- Crossovers: Entry/exit signals when composite crosses trigger line
Customizable Settings
Periods: Adjust based on your trading timeframe
- Lower values (3-10): More sensitive, suitable for scalping
- Medium values (10-20): Balanced for swing trading
- Higher values (20-50): Smoother for position trading
Weights: Customize responsiveness
- Increase short weight: More reactive to recent price changes
- Increase long weight: More stability and trend confirmation
Kalman Settings
- Lower Q (0.001-0.02): Smoother, more filtered signals
- Higher Q (0.02-0.1): More responsive to price changes
- Lower R (0.01-0.05): Trust data more, less filtering
- Higher R (0.1-1.0): More skeptical of data, more smoothing
True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts
Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy.
The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators.
🛠️ How This Script Works
This script focuses on the crucial interaction between the TSI line and its Signal Line:
TSI Line (Blue): Tracks momentum direction and strength.
Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts.
Visual Buy/Sell Signals:
To make signals impossible to miss, I've added distinct visual markers:
🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover).
🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover).
Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system.
🧠 My Trading Logic: Combining TSI with RSI
I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI).
This is the key to my strategy:
Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50).
Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50).
This combination ensures you are trading with the underlying momentum trend, improving the probability of success.
⚙️ My Recommended Custom Settings
For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart.
1. TSI (Alerts) Settings
Long Length - 60
Higher value for smoother price change data.
Short Length -30
Medium-term smoothing for clearer momentum shifts.
Signal Length - 9
Short length for a responsive signal line.
2. Companion RSI Settings (RSI+)
RSI Length - 150
A long look-back period for highly accurate trend filtering.
MA1 Length - 60
Used for additional smoothing.
MA2 Length - 150
Used for powerful trend confluence.
