Dual MACD AccelerationDual MACD Acceleration Indicator – Synopsis
Purpose:
This indicator identifies early momentum shifts in the market by comparing a fast MACD (8/20/6) with a slower MACD (12/26/9). It highlights potential strong buy and sell signals when the faster MACD crosses the slower MACD, allowing traders to catch trend accelerations before the full move develops.
Components
Fast MACD (8/20/6)
Responds quickly to short-term price changes.
Detects early momentum shifts.
Slow MACD (12/26/9)
Captures the dominant trend.
Provides a smoother reference for comparison.
Acceleration Signals
Long (▲): Fast MACD crosses above Slow MACD → potential bullish acceleration.
Short (▼): Fast MACD crosses below Slow MACD → potential bearish acceleration.
Zero Line
Optional visual reference for overall trend direction.
Crosses above zero = bullish trend, below zero = bearish trend.
Key Features
Clean, minimal chart display.
Optional toggles to show/hide each MACD line.
Label markers indicate crossovers.
Built-in alert conditions for automated notifications.
Trading Use
Trend Confirmation:
Best used with higher timeframe filters (VWAP or EMAs) to avoid fakeouts.
Entry Timing:
Enter on the first pullback after a crossover signal.
Only trade in the direction of the dominant trend.
Stops & Risk:
Use recent swing lows/highs for stop placement.
TP levels can be structure-based or trailing with price momentum.
Synopsis Summary:
The Dual MACD Acceleration Indicator is a lightweight, early-momentum tool designed for scalpers and short-term traders. It captures fast shifts in trend by comparing a faster and slower MACD, highlighting strong buy and sell opportunities while remaining clean and easy to read. For higher accuracy, combine with trend filters like VWAP or EMAs.
Zentrische Oszillatoren
Dual MACD📘 Dual MACD — Synopsis
The Dual MACD indicator displays two separate MACD systems inside the same pane, allowing traders to compare fast and slow momentum behavior simultaneously.
What It Includes
Two fully adjustable MACDs
MACD 1 default: 12 / 12 / 9
MACD 2 default: 8 / 20 / 6
Show/Hide Toggles so each MACD can be viewed independently or together.
MACD Lines, Signal Lines, and Histograms for both systems.
Clean layout with a compact panel title: “MACD x2”
What It Helps You See
Short-term vs. longer-term momentum shifts
Faster MACD reacting to quick trend changes
Slower MACD confirming or filtering signals
Trend strength, momentum acceleration, and crossover behavior in a single pane
Why It’s Useful
The Dual MACD gives you momentum confirmation, fakeout filtering, and multi-speed trend insight—making it valuable for scalpers, intraday traders, and swing traders who want to reduce noise and improve signal quality.
Patrice - GC M1 Bot (MACD EMA RSI)//@version=6
indicator("Patrice - GC M1 Bot (MACD EMA RSI)", overlay = true)
//----------------------
// Inputs (optimisés GC)
//----------------------
emaLenFast = input.int(9, "EMA rapide")
emaLenSlow = input.int(14, "EMA lente")
rsiLen = input.int(14, "RSI length")
atrLen = input.int(14, "ATR length")
volLen = input.int(20, "Volume moyenne")
slMult = input.float(0.4, "SL = ATR x", step = 0.1)
tpMult = input.float(0.7, "TP = ATR x", step = 0.1)
minAtr = input.float(0.7, "ATR minimum pour trader", step = 0.1)
maxDistEmaPct = input.float(0.3, "Distance max EMA9 (%)", step = 0.1)
//----------------------
// Indicateurs
//----------------------
ema9 = ta.ema(close, emaLenFast)
ema14 = ta.ema(close, emaLenSlow)
= ta.macd(close, 12, 26, 9)
hist = macdLine - signalLine
rsi = ta.rsi(close, rsiLen)
atr = ta.atr(atrLen)
volMa = ta.sma(volume, volLen)
//----------------------
// Session 9:30 - 11:00 (NY)
//----------------------
hourSession = hour(time, "America/New_York")
minuteSession = minute(time, "America/New_York")
inSession = (hourSession == 9 and minuteSession >= 30) or
(hourSession > 9 and hourSession < 11) or
(hourSession == 11 and minuteSession == 0)
//----------------------
// Filtres vol / ATR / distance EMA
//----------------------
volFilter = volume > volMa
atrFilter = atr > minAtr
distEmaPct = math.abs(close - ema9) / close * 100.0
distFilter = distEmaPct < maxDistEmaPct
//----------------------
// Tendance
//----------------------
bullTrend = close > ema9 and close > ema14 and ema9 > ema14
bearTrend = close < ema9 and close < ema14 and ema9 < ema14
//----------------------
// MACD : 2e barre
//----------------------
bullSecondBar = hist > 0 and hist > 0 and hist <= 0
bearSecondBar = hist < 0 and hist < 0 and hist >= 0
//----------------------
// Filtres RSI
//----------------------
rsiLongOk = rsi < 70 and rsi >= 45 and rsi <= 65
rsiShortOk = rsi > 30 and rsi >= 35 and rsi <= 55
//----------------------
// Gestion du risque (simple pour l'instant)
//----------------------
canTradeRisk = true
//----------------------
// Conditions d'entrée
//----------------------
longCond = bullTrend and bullSecondBar and rsiLongOk and inSession and volFilter and atrFilter and distFilter and canTradeRisk
shortCond = bearTrend and bearSecondBar and rsiShortOk and inSession and volFilter and atrFilter and distFilter and canTradeRisk
//----------------------
// SL / TP (info seulement, pas d'ordres)
//----------------------
slPoints = atr * slMult
tpPoints = atr * tpMult
longSL = close - slPoints
longTP = close + tpPoints
shortSL = close + slPoints
shortTP = close - tpPoints
//----------------------
// Visuels
//----------------------
plot(ema9, title = "EMA 9")
plot(ema14, title = "EMA 14")
plotshape(longCond, title = "Signal Long", style = shape.triangleup, location = location.belowbar, size = size.tiny, text = "L")
plotshape(shortCond, title = "Signal Short", style = shape.triangledown, location = location.abovebar, size = size.tiny, text = "S")
//----------------------
// Conditions d'ALERTE
//----------------------
alertcondition(longCond, title = "ALERTE LONG", message = "Signal LONG Patrice GC bot")
alertcondition(shortCond, title = "ALERTE SHORT", message = "Signal SHORT Patrice GC bot")
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map
This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals.
It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data.
Core Concepts
Wick-to-Body Analysis
The script evaluates the ratio of upper and lower wicks to the total candle range.
Strong wicks with relatively small bodies are treated as rejections :
Long upper wick → potential selling pressure / rejection of higher prices
Long lower wick → potential buying pressure / rejection of lower prices
Close Position Analysis
The close is normalized within the candle range:
Close near the high → bullish pressure
Close near the low → bearish pressure
Close near the middle → more neutral , context taken from wicks and volume
Volume Delta Estimation
Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics:
Bull candles receive more “buying volume,” weighted toward closes near the high
Bear candles receive more “selling volume,” weighted toward closes near the low
This is an approximation of order flow, not a direct time & sales feed.
Absorption Detection
The script looks for candles where volume is high but price movement is relatively small .
This combination often suggests:
Bullish absorption → buyers absorbing aggressive selling (potential accumulation)
Bearish absorption → sellers absorbing aggressive buying (potential distribution)
Absorption zones are tracked over a configurable lookback and can be shaded in the background.
Composite Pressure Oscillator
All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score :
Values > 0 → net buying pressure
Values < 0 → net selling pressure
The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line.
Divergence Detection
The indicator compares price pivots to pressure pivots:
Bullish divergence : price makes a lower low while pressure makes a higher low
Bearish divergence : price makes a higher high while pressure makes a lower high
These conditions can help highlight potential exhaustion or hidden participation from larger players.
Visual Elements
Histogram showing the intensity of buying/selling pressure
Color-coding for increasing vs. decreasing pressure
Background shading for detected absorption zones
Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time
How To Use
Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure.
Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about.
Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves.
Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework.
Important Notes & Limitations
This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles.
Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets.
Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
AJFFRSI+QQEROC Uses Jurik RSI for smooth, responsive momentum measurement
Incorporates QQE features for trend strength and dynamic trailing stop signals
Designed for clearer, more reliable overbought/oversold and reversal signals on TradingView
Suitable for intraday, swing, and longer-term analysis
Not a financial advice. DYOR
RSI Divergence Indicator with closingRSI Divergence Indicator with Closing Line is an advanced momentum-analysis tool that combines Regular Divergence, Hidden Divergence, Multi-RSI comparison, Moving Averages, and a dynamic RSI Closing Line into one powerful oscillator panel.
This script is designed for traders who want deeper insight into momentum strength, trend exhaustion, and reversal zones by analyzing both price action and RSI structure.
Momentum + Volume Percentile
This advanced momentum indicator combines smoothed momentum analysis with percentile-based volume filtering to identify high-quality trading opportunities backed by significant market participation.
How It Works:
The indicator calculates momentum (rate of change) over a customizable period and applies multiple smoothing techniques to reduce noise. It then filters price action by highlighting only periods where volume exceeds a specified percentile threshold.
The algorithm:
Calculates raw momentum based on price changes over the specified period
Applies customizable smoothing (SMA, EMA, WMA, or HMA) to the momentum values
Computes a moving average of the smoothed momentum as a trend reference
Analyzes volume over a lookback period to establish percentile rankings
Highlights candles where volume exceeds the percentile threshold with color-coded backgrounds
Distinguishes between bullish (green) and bearish (red) high-volume events
MACD Enhanced with FiltersProfessional MACD indicator with buy/sell signals and real-time alerts. Features: ✅ MACD crossover signals with triangles ✅ Green buy triangles (below bars) ✅ Red sell triangles (above bars) ✅ Real-time browser/email/Slack alerts ✅ Signal strength analysis ✅ Customizable parameters Perfect for active traders managing multiple accounts. Supports Webull, Interactive Brokers, and other platforms.
Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST.
Key differences from the classic KST
- Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag.
- This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable.
- ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy.
- Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had.
How traders actually use it in >2026
1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish).
2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly).
3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100).
4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross.
Best settings I and many others run live right now (no table, just the winners)
- Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals.
- Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw.
- Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground.
- Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90.
In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about.
This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes.
How do the available alternatives differ (while some’re just worse)?
Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity.
The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median.
Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it.
Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime.
How to set it up:
Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256.
However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16.
Additionally if you wanna use all data to estimate SNR, put 0 into length input.
How to use for regime detection:
First we define:
MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better
Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better.
The study plots 3 horizontal thresholds for VSNR, just check its location:
Above upper level: significant Momo bias
Above 1 : Momo bias
Below 1 : MR bias
Below lower level: significant MR bias
Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime:
^^ CBOT:ZN1!
^^ INDEX:BTCUSD
How to use as automatic volatility threshold scaler
Copy the code from the script, and use VSNR as a multiplier for your volatility threshold.
E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive.
^^ The same logic as when MM bots widen spreads with vola goes wild.
How it works:
Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential.
Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold.
We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma.
Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns.
…
Lightweight huh?
∞
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets.
By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones
🔶 USAGE
The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales.
By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret.
A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals.
🔹 Unified Momentum Structure
The indicator’s core strength comes from combining five Z-scored signals into one average.
Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction.
🔹 Divergence Detection
The tool includes fully integrated divergence detection:
Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low.
Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high
Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious.
🔹 Visual Extremes
Two sets of upper and lower Z-score thresholds help identify:
Extreme overbought surges
Extreme oversold drops
Reversal zones
Potential exhaustion conditions
Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure.
🔹 Detecting Momentum Anomalies
Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history.
For example:
The oscillator reaching +1 or –1 after an extended trend may indicate a climax.
A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move.
Divergences often appear earlier due to normalization smoothing out indicator noise.
This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss.
🔶 DETAILS
🔹 Composite Z-Score Framework
Each momentum tool is smoothed, normalized, and transformed:
RSI → EMA-smoothed, Z-scored
MACD histogram → Z-scored
Stochastic → EMA + SMA smoothing, then Z-scored
Momentum → EMA-smoothed, Z-scored
Rate of Change → EMA-smoothed, Z-scored
These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions.
🔹 Fusion Trend Lines
Two lines serve as the core signal:
Fast Line (savg) – reacts quicker to trend changes
Slow Line (savg2) – acts as a baseline filter
Crossovers between these lines highlight momentum shifts, while their color reflects trend bias.
🔹 Overbought/Oversold Zones
Two upper and two lower Z-score thresholds define “zones”:
Upper zones highlight overheated momentum or potential bearish reversals
Lower zones highlight depressed momentum or potential bullish reversals
Filled regions and background colors help visually confirm extreme conditions.
🔹 Pivot-Based Divergence Engine
The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven.
🔶 SETTINGS
🔹 Indicator Settings
Source — Price series used for all calculations.
Z-Score Length — Lookback period for Z-score normalization.
Z-Score MA Length — Smoothing length for the fusion signal lines.
Overbought/Oversold Levels — Four customizable threshold lines.
Color Palette — Choose from preset themes or define custom colors.
🔹 RSI
Length — RSI calculation period.
EMA Smoothing Length — Smooths RSI before Z-score conversion.
🔹 MACD
Fast Length — Fast EMA length.
Slow Length — Slow EMA length.
Signal Line Length — MACD signal smoothing.
🔹 Stochastic
%K Length — Main stochastic length.
EMA Smoothing — Smooths %K for stability.
%D Length — Smoothing for the signal line.
🔹 Momentum
Length — Momentum lookback.
EMA Smoothing — Smooths momentum before Z-scoring.
🔹 Rate of Change
Length — ROC lookback.
EMA Smoothing — Smooths ROC values.
🔹 Divergence
Enable/Disable Divergence Detection — Toggle divergence engine.
Pivot Left/Right Lookback — Defines pivot detection sensitivity.
Detection Range Limits — Controls allowable range for divergence.
Bull/Bear Colors & Styling — Customize divergence visualization.
🔶 SUMMARY
The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to:
Identify reversals early
Detect momentum exhaustion
Spot bullish and bearish divergences
Track overbought/oversold conditions
Visualize trend strength with clarity
Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
NICHI Beta (NuwenPham's Ichimoku)# **NuwenPham’s Ichimoku (NICHI)**
**Version BETA.251123a.3.1.2 – Pine Script v6**
**Author:** NuwenPham
**Forked from:** Donovan Wall
**Contributors:** Claude (Anthropic)
**License:** MPL 2.0
---
# **Overview**
**NICHI (Nuwen’s Ichimoku)** is a next-generation Ichimoku system that merges the classical Hosoda Ichimoku with a modular adaptive-smoothing engine, enhanced Kumo logic, directional trend counters, and multi-mode bar coloring.
The indicator includes **two completely separate Ichimoku engines**:
* **Standard Ichimoku** – Traditional Donchian-based Tenkan, Kijun, Senkou A/B, and Chikou
* **Advanced Ichimoku** – Fully customizable Ichimoku using 15+ moving-average filters and enhanced logic
NICHI is designed for modern markets—especially **futures and volatile instruments** (NG, CL, ES, NQ, crypto).
---
# **Key Features**
## **1. Dual Ichimoku Systems**
* **Standard Mode:**
Classic Donchian Ichimoku with Tenkan, Kijun, Senkou A/B, and Chikou.
Clean, faithful implementation.
* **Advanced Mode:**
Every Ichimoku line uses a **selected smoothing filter** (EMA, KAMA, FRAMA, Hull, McGinley, etc.).
Includes directional persistence tracking, enhanced cloud logic, and adaptive bar coloring.
---
## **2. Advanced Filter Engine (15+ Smooth Types)**
Use any of the following for Tenkan, Kijun, Senkou B, or Chikou:
* EMA
* DEMA
* SMA
* SMMA (RMA)
* WMA
* VWMA
* Hull MA
* ALMA
* LSMA (Linear Regression)
* McGinley Dynamic
* KAMA
* FRAMA
* COVWMA
* Moving Median
* 50th Percentile (Nearest Rank)
This transforms Ichimoku into an **adaptive trend system**.
---
## **3. Enhanced Cloud (Kumo) Modeling**
* Independent forward offsets for Span A & Span B
* Cloud colors adapt based on strength, direction, and filter behavior
* Cloud thickness reflects volatility
* Neutral cloud state available when spans disagree
---
## **4. Directional Persistence Counters**
NICHI tracks the **trend streak** of each main component:
* Tenkan rising/falling
* Kijun rising/falling
* Span A rising/falling
* Span B rising/falling
These counters make cloud and line colors more accurate and stable.
---
## **5. Regime-Based Bar Coloring (3 Modes)**
NICHI includes three built-in trading frameworks:
### **Mode 1: Kumo-Based**
Bar color reflects price relative to the cloud:
* Green = Above Kumo
* Red = Below Kumo
* Orange = Inside Kumo
Ideal for **trend-following** and **market regime detection**.
---
### **Mode 2: Tenkan/Kijun-Based**
Bar color reflects momentum structure:
* Green = Price above both Tenkan & Kijun
* Red = Price below both
Designed for **momentum entries and TK breakouts**.
---
### **Mode 3: Chikou-Based**
Bars reflect historical confirmation:
* Green = Chikou > price (offset period)
* Red = Chikou < price
Excellent for **confirmation-first strategies** where accuracy matters most.
---
## **6. Multi-MA Overlay System**
Up to **four optional moving averages**:
* SMA, EMA, SMMA, WMA, HMA, VWMA
* Independent lengths, widths, colors
* Useful for bias, confluence, trend filters
Default: **SMA 200** enabled.
---
## **7. TK Cross Signals**
Both systems show TK crosses:
* Standard TK Cross (classic)
* Advanced TK Cross (filtered version)
Crosses appear with clear markers for entry/exit logic.
---
# **How to Use NICHI**
## **1. Choose Your Engine**
* **Standard:** Clean, classic Ichimoku
* **Advanced:** Adaptive, filter-driven Ichimoku
* **Both:** Comparative analysis
---
## **2. Select Your Filter Type (Advanced Mode)**
Suggested filters:
| Market | Filter Type | Notes |
| ---------------- | ---------------- | -------------------------- |
| Natural Gas (NG) | KAMA or FRAMA | Handles extreme volatility |
| Crude Oil (CL) | McGinley Dynamic | Smooths spikes |
| ES / NQ | SMMA or WMA | Balanced response |
| Crypto | Hull or ALMA | Handles momentum bursts |
| FX | EMA or SMMA | Classic, stable |
---
## **3. Choose a Bar-Color Strategy**
* **Kumo-Based:** Trend following
* **TK-Based:** Momentum and breakouts
* **Chikou-Based:** Highest confirmation/accuracy
Each strategy is valid and intentionally distinct.
---
## **4. Reading the Cloud**
* **Bullish Cloud:** Span A > Span B
* **Bearish Cloud:** Span A < Span B
* **Neutral Cloud:** Disagreement between spans
* **Thick Cloud:** High volatility / stronger structure
* **Thin Cloud:** Weak trend / potential twist
---
## **5. Entry & Exit Concepts**
### **Entries**
* **Momentum Entry:** TK cross with price above the cloud
* **Reversal Entry:** TK cross before a cloud twist
* **Confirmation Entry:** Chikou breaks cleanly above/below past price
### **Exits**
* Price falling through Kijun
* Re-entering the cloud
* Opposite TK cross
* Cloud flipping against position
---
# **Recommended Trading Approaches**
## **Kumo-Based Trend Strategy**
* Long above cloud, short below
* Avoid signals inside cloud
Best for swing/position trading.
---
## **TK-Based Momentum Strategy**
* Enter on Tenkan/Kijun breakout
* Bar color confirms momentum
* Cloud filter optional but helps
Great for high-velocity markets.
---
## **Chikou-Based Confirmation Strategy**
* Enter only when Chikou confirms structure
* Highest accuracy, fewest trades
* Ideal for volatile markets (NG, CL)
---
# **Closing Notes**
NICHI is a **research-grade Ichimoku framework** designed to handle modern volatility where traditional Ichimoku often fails.
It supports scalpers, swing traders, and system developers alike.
Experiment with:
* Filter types
* Cloud offsets
* Bar-color modes
* MA overlays
to match your strategy and market.
Project 1 - Complete with CMF and All IndicatorsProject 1 – Multi-Indicator Suite
This script combines several widely-used technical indicators into a single visual framework.
It is designed to help traders track momentum, trend strength, volume behavior, and money flow without switching between multiple tools.
Included components:
• MACD with dynamic color changes
• RSI with percentage change and directional marker
• ADX with trend-strength shading and Δ% calculation
• CMF (Chaikin Money Flow) with positive/negative flow tracking
• Volume Oscillator for short–long volume pressure
• Auto-updated labels for RSI, ADX, and CMF
• Lightweight visual lines to show momentum changes
Use cases:
• Trend confirmation
• Momentum diagnostics
• Volume-based pressure analysis
• Money-flow direction and strength
• Multi-factor confluence without indicator stacking
This tool does not generate buy/sell signals and does not imply trading outcomes.
It is a visual analytics suite built for discretionary technical analysis.
MA200 Parallel ChannelDynamic MA100 Parallel Bands – Precision S/R Levels
This indicator builds a clean, parallel channel around the 100-period moving average using a fixed ±4 offset.
Because the offset mirrors the short-term MA1 fluctuations, the channel reveals highly accurate support and resistance zones that react instantly to market micro-structure.
Unlike Bollinger Bands—which expand with volatility—this tool stays perfectly parallel and trend-aligned, making breakouts and pullbacks incredibly easy to spot.
How it works:
Centerline: 100-period moving average (MA100)
Upper Band: MA100 + 4
Lower Band: MA100 – 4
MA1 used as a sensitivity reference for micro-trend behavior
Parallel structure ensures stable, predictable levels
Why it’s powerful:
The ±4 channel creates extremely precise S/R zones
Price respecting the lower band = dynamic support
Price rejecting the upper band = dynamic resistance
A clean break above or below the bands highlights strong momentum shifts
Perfect for intraday traders needing structure without noise
Perfect for:
Identifying high-probability bounce levels
Spotting early trend continuation
Confirming MA100 breakouts
Filtering weak signals and fake volatility spikes
If you want razor-sharp support & resistance levels that stay consistent across all timeframes, these MA100 parallel bands deliver exceptional clarity.
Dual MACD With Pilot Background + + Stoch RSI Alert HELL 2macd 1 chart time macd 2 4x chart time with over bought and over sold stoc rsi alerts
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator?
The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K.
Stochastic helps identify:
Overbought and oversold conditions
Bullish and bearish crossovers
Momentum shifts before price reversals
It is widely used in both trending and ranging markets.
💡 What Makes This Suite Different?
This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including:
✅ Core Features:
- Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality.
- Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20).
- %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram.
- Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas).
🔍 Divergence Detection (Optional):
- Bullish Divergence: Price makes lower lows while %K makes higher lows.
- Bearish Divergence: Price makes higher highs while %K makes lower highs.
- Customizable pivot lookbacks and range filters to control divergence strictness.
- Visual divergence labels plotted directly on the oscillator.
🎛️ Fully Toggleable Visuals:
Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes.
🔔 Alerts:
Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies.
⚙️ Use Cases
- Spot exhaustion in overbought/oversold zones
- Confirm or filter entries with divergence signals
- Monitor multiple timeframes without switching charts
- Use as a signal tool in confluence with price action or volume indicators
⚠️ Disclaimer
This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Hash Momentum IndicatorHash Momentum Indicator
Overview
The Hash Momentum Indicator provides real-time momentum-based trading signals with visual entry/exit markers and automatic risk management levels. This is the indicator version of the popular Hash Momentum Strategy, designed for traders who want signal alerts without backtesting functionality.
Perfect for: Live trading, automation via alerts, multi-indicator setups, and clean chart visualization.
What Makes This Indicator Special
1. Pure Momentum-Based Signals
Captures price acceleration in real-time - not lagging moving average crossovers. Enters when momentum exceeds a dynamic ATR-based threshold, catching moves as they begin accelerating.
2. Automatic Risk Management Visualization
Every signal automatically displays:
Entry level (white dashed line)
Stop loss level (red line)
Take profit target (green line)
Partial TP levels (dotted green lines)
3. Smart Trade Management
Trade Cooldown: Prevents overtrading by enforcing waiting period between signals
EMA Trend Filter: Only trades with the trend (optional)
Session Filters: Trade only during Tokyo/London/New York sessions (optional)
Weekend Toggle: Avoid low-liquidity weekend periods (optional)
4. Clean Visual Design
🟢 Tiny green dot = Long entry signal
🔴 Tiny red dot = Short entry signal
🔵 Blue X = Long exit
🟠 Orange X = Short exit
No cluttered labels or dashboard - just clean signals
5. Professional Alerts Ready
Set up TradingView alerts for:
Long signals
Short signals
Long exits
Short exits
How It Works
Step 1: Calculate Momentum
Momentum = Current Price - Price
Normalized by standard deviation for consistency
Must exceed ATR × Threshold to trigger
Step 2: Confirm Acceleration
Momentum must be increasing (positive momentum change)
Price must be moving in signal direction
Step 3: Apply Filters
EMA Filter: Long only above EMA, short only below EMA (if enabled)
Session Filter: Check if in allowed trading session (if enabled)
Weekend Filter: Block signals on Sat/Sun (if enabled)
Cooldown: Ensure minimum bars passed since last signal
Step 4: Generate Signal
All conditions met = Entry signal fires
Lines automatically drawn for entry, stop, and targets
Step 5: Exit Detection
Opposite momentum detected = Exit signal
Stop loss or take profit hit = Exit signal
Lines removed from chart
⚙️ Settings Guide
Core Strategy
Momentum Length (Default: 13)
Number of bars for momentum calculation. Higher values = stronger signals but fewer trades.
Aggressive: 10
Balanced: 13
Conservative: 18-24
Momentum Threshold (Default: 2.25)
ATR multiplier for signal generation. Higher values = only trade the biggest momentum moves.
Aggressive: 2.0
Balanced: 2.25
Conservative: 2.5-3.0
Risk:Reward Ratio (Default: 2.5)
Your target profit as a multiple of your risk. With 2.2% stop and 2.5 R:R, your target is 5.5% profit.
Conservative: 3.0+ (need 25% win rate to profit)
Balanced: 2.5 (need 29% win rate to profit)
Aggressive: 2.0 (need 33% win rate to profit)
Fat Tony's Composite Momentum Histogram (v01)# Fat Tony's Composite Momentum Histogram
## What It Does
This indicator combines four momentum oscillators into a single composite signal that ranges approximately from -100 to +100. It identifies potential overbought and oversold conditions while weighting signals by volume activity to filter out weak moves.
The histogram shows momentum strength with color-coded bars:
- **Red bars** indicate extreme overbought conditions (above +100)
- **Green bars** indicate extreme oversold conditions (below -100)
- **Blue bars** show positive momentum in normal range
- **Orange bars** show negative momentum in normal range
## Core Components
The indicator blends these four momentum measures:
1. **Williams %R** - Measures where price closed relative to the high-low range
2. **Stochastic %K** - Compares closing price to the recent price range
3. **MACD Histogram** - Shows momentum changes via moving average convergence/divergence
4. **ROC (Rate of Change)** - Measures percentage price change, normalized by volatility
Each component is scaled to a -50 to +50 range, then averaged together. The MACD component uses adaptive scaling based on its historical volatility to remain relevant across different market conditions.
## Volume Weighting
The indicator amplifies signals when volume is elevated and dampens them when volume is low. It uses a logarithmic scaling approach to smooth extreme volume spikes. There's also a minimum volume filter that prevents signals from triggering during very low-volume periods.
## Settings Explained
**Momentum Settings:**
- **Length (14)** - Lookback period for Williams %R and Stochastic calculations
- **MACD Fast/Slow/Signal (12/26/9)** - Standard MACD parameters
- **ROC Length (10)** - Lookback for rate of change calculation
- **MACD StDev Length (200)** - Historical window for normalizing MACD values
**Levels:**
- **Overbought Level (+100)** - Threshold for extreme upside momentum
- **Oversold Level (-100)** - Threshold for extreme downside momentum
**Volume Settings:**
- **Enable Volume Weighting** - Toggle volume amplification on/off
- **Volume Sensitivity (1.5)** - Controls how much volume impacts the signal (higher = stronger impact)
- **Min Avg Volume (50,000)** - Filters out signals when 5-bar average volume is too low
**Components:**
- **Include ROC Component** - Toggle to add/remove ROC from the calculation
- **Enable Trend Filter** - Only allows signals aligned with the 200-period EMA trend
- **Show Component Plots** - Displays individual oscillator values for tuning purposes
## Trading Signals
**Entry Signals:**
- **Long (green triangle)** - Composite crosses above the oversold level with adequate volume
- **Short (red triangle)** - Composite crosses below the overbought level with adequate volume
**Exit Signals (when trend filter enabled):**
- **Long Exit** - Composite crosses below zero from positive territory
- **Short Exit** - Composite crosses above zero from negative territory
The indicator also provides alert conditions for automated notifications on these signal events.
Multi-Timeframe RSI (4x) z Podświetlaniem - PawełRSI z podświetleniem z różnych tfów z ustawianiem intensywnosci i kolorów.
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP
Purpose:
This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for:
15-minute chart → trend identification
1–2 minute chart → precise entries based on dynamic bands
Components:
SMA of Typical Price (smaTP)
Smooth average of the current bar’s typical price (hlc3).
Acts as a dynamic midpoint for the ±100 deviation bands.
±100 Deviation Bands
Calculated using a modified CCI formula:
Upper = SMA TP + 0.015 × MAD × 100
Lower = SMA TP - 0.015 × MAD × 100
Works as dynamic support/resistance and potential reversal zones.
SMA of CCI length (scaled to price)
Smooths the CCI momentum signal to the price scale.
Acts as a confirmation filter for trade direction near bands.
Optional toggle and customizable color/line width.
VWAP (Volume Weighted Average Price)
Optional overlay with trend-based coloring:
Price above VWAP → bullish → green
Price below VWAP → bearish → red
Acts as primary trend filter.
How to Use the Indicator
Step 1: Determine Trend (15-minute chart)
Check VWAP trend:
Price > VWAP → bullish trend → only consider long trades
Price < VWAP → bearish trend → only consider short trades
Confirm with SMA TP slope:
Rising SMA → bullish bias
Falling SMA → bearish bias
This ensures you only trade in the direction of the intraday trend.
MACD FROM HELLthis is a double macd with 2 time frames macd 1 is chart macd 4 is 4X meaning the 1hr becomes the 4hr and it uses the histogram coloring for added detail ,, on top of that it has stochastic rsi Alerts set to trigger when k line goes above 99.9 or below 0.01 and exits ,, alert triggers on exit
NBarForwardOdds# N Bar Forward Odds
## Description
Calculates the probability of a closing price exceeding a closing price at a specified interval away from the
current bar. It does this by iterating through a series of intervals (1 to 20) and determining if the closing
price of the current bar is greater than the closing price of the bar at that interval.
## Usage:
Selectable base interval from the input configuration panel is calculated with a value step in a range `1:20` to get the final interval displayed.
Bullish/Bearish Divergence DetectorUsuable on all time-frames
Indicates multiple divergences (up to 3) with the same start point/date of the divergence






















