Williams %Rwilliams %r god mode
williams %r god mode is a modern momentum oscillator designed for clean reversal detection, trend continuation timing, multi-timeframe reading, higher-timeframe confirmation, and filtered buy/sell signals.
the tool is built around williams %r, but it does not behave like a basic overbought/oversold oscillator. it adds smoothing, signal logic, mtf mode, score filtering, trend confirmation, htf confirmation, anti-spam protection, visual zones, glow effects, labels, and a compact dashboard.
main idea
williams %r is often used to detect when price is overbought or oversold.
the problem with a basic williams %r is that it can give too many early signals, especially during strong trends.
this indicator is designed to reduce that noise by combining:
williams %r flow
signal line confirmation
overbought and oversold exits
midline reclaim
trend filter
mtf mode
htf confirmation
impulse candle filter
precision score
signal cooldown
clean visual dashboard
how the oscillator works
the oscillator is displayed from 0 to 100.
low values show bearish pressure or oversold conditions.
high values show bullish pressure or overbought conditions.
important zones:
0 to 20 = oversold area
20 to 50 = lower momentum zone
50 = midline
50 to 80 = upper momentum zone
80 to 100 = overbought area
a bullish setup usually becomes stronger when the flow exits oversold, crosses above the signal line, and starts reclaiming higher zones.
a bearish setup usually becomes stronger when the flow exits overbought, crosses below the signal line, and starts losing higher zones.
mtf mode
the indicator includes a real multi-timeframe mode.
you can choose the timeframe used by the oscillator.
available display modes:
chart tf
true mtf
smooth mtf
chart tf
uses the current chart timeframe.
this is the fastest and most responsive mode.
true mtf
uses the selected higher timeframe directly.
this is the most exact mtf reading, but it can look stepped because higher-timeframe values update only when the higher-timeframe candle updates.
smooth mtf
uses the selected mtf source and applies fixed smoothing to make the line cleaner.
this mode is useful when you want a higher-timeframe oscillator view without a harsh stair-step appearance.
buy/sell signal source
the signal source can be selected separately.
you can choose:
display mode
chart tf
true mtf
smooth mtf
when set to display mode, the signals follow the same source used by the visible oscillator.
beginner recommendation:
use mtf mode on
use smooth mtf display
use display mode as signal source
use confirmed mtf candle on
htf confirmator
the htf confirmator is an additional higher-timeframe filter.
it helps block lower-quality buy and sell signals when the larger trend does not agree.
available htf modes:
ema
williams
ema + williams
ema mode
uses price and ema direction.
williams mode
uses higher-timeframe oscillator direction.
ema + williams mode
requires both the higher-timeframe ema direction and higher-timeframe williams direction to agree.
this is the strictest and cleanest option.
signal modes
aggressive
more signals, faster reaction, more noise.
best for experienced scalpers who want early entries.
balanced
medium filtering.
good for traders who want a mix between frequency and quality.
sniper
strictest mode.
fewer signals, cleaner confirmation, better for beginners and trend-following setups.
entry logic
reversal
focuses on exits from overbought and oversold zones.
example: flow leaves oversold and begins to turn up.
continuation
focuses on midline continuation and momentum reclaim.
example: flow crosses back above the midline during a bullish continuation.
hybrid
uses both reversal and continuation logic.
this is the most flexible mode.
precision score
every signal receives a score from 0 to 100.
the score is based on multiple conditions:
extreme reclaim
trend alignment
flow slope
adx regime
candle impulse
flow/signal cross
higher scores mean stronger confirmation.
beginner recommendation:
minimum precision score: 75 to 85
lower score = more signals
higher score = fewer but cleaner signals
how to use the indicator
step 1: choose the timeframe mode
for normal trading, start with smooth mtf.
example:
chart: 5m
mtf timeframe: 15m or 1h
htf confirmator: 4h
this gives a cleaner view than using the 5m alone.
step 2: read the oscillator zone
if the flow is below 20, the market is oversold.
if the flow is above 80, the market is overbought.
if the flow is above 50, momentum is stronger on the bullish side.
if the flow is below 50, momentum is stronger on the bearish side.
step 3: wait for confirmation
for a buy setup, look for:
flow leaving oversold
flow crossing above the signal line
bullish score above the minimum threshold
htf confirmator bullish
bullish impulse candle if enabled
for a sell setup, look for:
flow leaving overbought
flow crossing below the signal line
bearish score above the minimum threshold
htf confirmator bearish
bearish impulse candle if enabled
step 4: use the dashboard
the dashboard shows:
current flow value
oscillator state
display mode
mtf timeframe
signal source
htf direction
buy score
sell score
last signal
this helps you understand why a signal is accepted or blocked.
step 5: manage risk
do not enter only because a label appears.
before taking a trade, define:
entry
stop loss
target
risk per trade
invalidation level
a clean oscillator signal is not a complete trading plan by itself.
beginner buy example
1. chart is on 5m
2. mtf mode is enabled
3. mtf timeframe is 15m
4. display mode is smooth mtf
5. htf confirmator is set to 4h
6. flow exits oversold
7. flow crosses above the signal line
8. buy score is above 75
9. htf direction is bullish
10. a buy label appears
this is a cleaner long condition than buying only because the oscillator touched oversold.
beginner sell example
1. chart is on 5m
2. mtf mode is enabled
3. mtf timeframe is 15m or 1h
4. display mode is smooth mtf
5. htf confirmator is enabled
6. flow exits overbought
7. flow crosses below the signal line
8. sell score is above 75
9. htf direction is bearish
10. a sell label appears
this helps avoid shorting too early while momentum is still strong.
best settings for scalping
mtf mode: on
mtf timeframe: 15m
display mode: smooth mtf
signal source: display mode
use confirmed mtf candle: on
htf confirmator: on
htf timeframe: 1h or 4h
htf mode: ema + williams
signal mode: balanced or sniper
minimum precision score: 70 to 80
cooldown: 8 to 15 bars
best settings for cleaner trend trades
mtf mode: on
mtf timeframe: 1h
display mode: smooth mtf
signal source: display mode
use confirmed mtf candle: on
htf confirmator: on
htf timeframe: 4h or daily
htf mode: ema + williams
signal mode: sniper
minimum precision score: 80 to 90
require flow / signal cross: on
signals on confirmed candle only: on
tips
use smooth mtf when you want a clean higher-timeframe oscillator view.
use true mtf only when you want the exact higher-timeframe value, even if the line looks stepped.
use sniper mode when the market is choppy.
use balanced mode when the market is moving cleanly.
raise the precision score when there are too many signals.
lower the precision score when signals are too rare.
keep htf confirmation enabled for safer entries.
avoid buying directly into strong resistance.
avoid selling directly into strong support.
the best signals usually happen when oscillator direction, trend direction, and htf confirmation all agree.
alerts
available alerts:
williams %r buy
williams %r sell
for cleaner alert behavior, use once per bar close.
risk warning
this indicator is designed to improve momentum reading and signal filtering, but no indicator can predict every market move.
always use risk management, position sizing, and confirmation from price structure.
Indicateur
Strength - Filtro RupturaEste indicador colorea las velas en función de la confluencia entre el momentum del precio (Williams %R) y la fuerza de la tendencia (ADX), actuando como filtro de confirmación para rupturas del rango de apertura.
¿Cómo funciona?
Combina dos indicadores clásicos con una lógica específica:
Williams %R identifica la zona en la que se encuentra el precio (sobrevendido, neutro, sobrecomprado) y la dirección del momentum en ese momento
ADX confirma que la tendencia tiene fuerza real detrás — si el ADX no está creciendo, la vela queda gris sin importar el momentum
La regla base es simple: sin fuerza no hay señal. El color gris significa "no operar".
Paleta de colores — Confirmación ALCISTA (usar con ruptura del ORB High)
🟢 Verde brillante — Williams %R por debajo de -50 y girando al alza con ADX creciente. Reversión desde zona de sobreventa con fuerza confirmada. La señal más potente al alza.
🟢 Verde medio — Williams %R entre -50 y -27, subiendo con ADX creciente. Continuación alcista en zona neutral con momentum sostenido.
🟢 Verde oscuro — Williams %R por encima de -27, subiendo con ADX creciente. Precio en zona alta con momentum extremo sostenido. Señal de continuación, operar con precaución.
Paleta de colores — Confirmación BAJISTA (usar con ruptura del ORB Low)
🔴 Rojo brillante — Williams %R por encima de -50 y girando a la baja con ADX creciente. Giro bajista desde zona neutral o alta con fuerza confirmada. La señal más potente a la baja.
🩷 Rosa/Fucsia — Williams %R entre -50 y -72, bajando con ADX creciente. Continuación bajista con presión sostenida.
🟤 Marrón oscuro — Williams %R por debajo de -72, bajando con ADX creciente. Sobreventa extrema con caída sostenida. Señal de continuación, mercado en presión vendedora fuerte.
⬜ Gris — No operar
Cuando el ADX no está creciendo, la vela se colorea en gris. Sin fuerza direccional confirmada, cualquier ruptura puede ser falsa. Este filtro es el núcleo del indicador.
Uso recomendado con ORB V2
Este indicador está diseñado para trabajar en conjunto con ORB V2 (también disponible en mi perfil). El flujo es el siguiente:
ORB V2 define el rango de apertura y marca el High y Low del período inicial
Cuando el precio rompe ese rango, Strength - Filtro Ruptura confirma o descarta la ruptura según el color de la vela en ese momento
Solo las rupturas acompañadas de velas verdes (al alza) o rojas (a la baja) tienen confirmación de fuerza real
Las rupturas sobre velas grises se ignoran — son el tipo de fakeout que este filtro busca eliminar
Juntos forman un sistema simple y visual: el ORB marca el nivel, Strength confirma si vale la pena operarlo. Indicateur
xKen-t Williams %R + EMA w/COT Bias GateWhat's original here
This isn't a Williams %R repaint. Standard %R gives a level; this script converts it into a filtered, context-aware timing engine through four combined mechanisms: (1) exit-from-extreme triggers that fire when %R crosses back out of −80/−20 rather than when it reaches them, so signals mark the reversal instead of the ongoing move; (2) EMA-side confirmation that validates the exit against the 13-EMA; (3) a −50 regime filter that blocks counter-regime signals; and (4) a directional-bias gate that normalizes any external series you feed it (e.g. a COT commercial-net line) to a 0–100 position-in-range index and suppresses every signal that disagrees with that bias. The gate is the core idea — it makes the oscillator time entries only in a separately chosen direction, turning a reversal oscillator into a with-context pullback tool. A status table surfaces %R, its EMA, the regime, the active bias, the higher-timeframe read, and the last signal in one place.
Overview
A Williams %R momentum tool rebuilt around three ideas: it signals on the exit from an extreme rather than the touch, confirms that exit with the %R/EMA relationship, and can gate every signal by an external directional bias (such as Commitments of Traders positioning) so only signals agreeing with that bias are shown. This targets the two classic Williams %R weaknesses — catching falling knives at the band, and firing endless counter-trend reversals during strong trends.
What it calculates
- Williams %R (default 21): the standard oscillator (0 to −100) measuring where the close sits within the lookback's high-low range.
- 13-EMA of %R: a smoothing/confirmation line.
- Triggers: in "Band exit" mode a long fires when %R crosses back up through −80 (leaving oversold) and a short when it crosses back down through −20 (leaving overbought). In "EMA cross in zone" mode the trigger is %R crossing its EMA while in the lower/upper half. Either way, it marks the turn, not the extreme reading itself.
- EMA confirmation (optional): requires %R on the trigger side of its EMA at signal time.
Regime filter (optional): longs only when the %R EMA is above the −50 midline, shorts only when below.
- COT Bias Gate: point the "COT source" input at any external series on the chart — e.g. a Commitments of Traders commercial-net or COT-index line. The script converts it to a 0–100 position-in-range index over a lookback; ≥80 is treated as bullish bias, ≤20 as bearish. With the gate on, longs show only in a bullish bias and shorts only in a bearish one; opposite-bias signals are suppressed. You can also set the bias manually or turn the gate off for standalone %R.
- Divergence (optional): regular bull/bear divergence between price pivots and %R pivots.
Higher-timeframe read (optional): shows a higher-timeframe %R value in the table for top-down context.
How to use it
1. Add it on your entry timeframe (defaults: %R 21, EMA 13, band-exit, EMA confirmation on).
2. Set the bias — manually (Bullish/Bearish), or "Auto" pointed at a COT/context line, or Off.
3. Trade the markers: green up-triangle = confirmed long trigger, red down-triangle = confirmed short. Combine with your own levels and risk management.
Notes and limitations
- Divergence markers are drawn back at the confirmed pivot using an offset — they plot in the past and can repaint until the pivot forms. Treat them as context, not a standalone trigger.
- The gate reads whatever series feeds the source input; on the default (Close) the "bias" is computed from price, not COT — point it at a real COT/context line for it to be meaningful.
- The higher-timeframe read uses non-lookahead requests (no future data).
- Analysis tool for timing within a chosen bias. It does not predict outcomes and is not financial advice. Indicateur
MACD Dive [TTM Squeeze | Dual Lock %R]Disclaimer : This indicator is not financial advice and is strictly for educational and informational purposes only. The metrics and signals provided herein (including momentum crosses, trend saturation state icons, and squeeze markers) are calculated based on historical market data and do not guarantee future performance. Trading stocks and commodities involves significant risk of loss. The user assumes full responsibility for all trading decisions and should always perform their own due diligence before executing trades.
MACD Dive is a multi-state momentum and volatility context engine. By layering momentum oscillation (MACD/PPO/MACD-V) with market stalemates (volatility squeeze) and trend exhaustion (Dual %R saturation), this suite transforms a standard MACD into a multi-dimensional 'No-Go' gatekeeper. This synergy is what gives the engine its edge: it actively blocks the trader from whipsawing in sideways chop or buying into a dying trend, highlighting high-probability market turns where momentum, volatility, and trend capacity perfectly align.
Standard oscillators have a scaling problem. This script lets you choose your engine:
MACD (Classic): Measures momentum in absolute dollars. Great for visual reactivity, but a "2.0" reading means something different on a $5 stock versus a $500 stock.
PPO (Percentage): Measures momentum in percentages. Standardizes the reading across all assets, making it ideal for fixed-rule algorithmic trading.
MACD-V (Volatility Normalized): This divides the MACD by the Average True Range (ATR). It measures momentum in "Units of Volatility," mathematically adapting to market chaos so that signals remain consistent across both different assets and shifting volatility regimes (quiet markets vs chaotic markets).
This suite includes a fully optimized divergence detection engine:
Regular Divergence (Solid Lines): Identifies Trend Reversals. Price pushes to a new extreme, but momentum fails to follow, signaling exhaustion.
Hidden Divergence (Dashed Lines): Identifies Trend Continuations (Slingshots). Price pulls back, but momentum fully resets, signaling a high-probability entry in the direction of the dominant trend.
Located in your chosen corner, the HUD provides an instant visual readout with hover tooltips for active Engine Mode, %R Fatigue state, Oscillator crossover validation, and Squeeze environment. Vertical background highlights in green or red represent filter-passed momentum crossovers, like the MACD bullish cross. Use the extensive inline tooltips in the indicator's settings panel for a comprehensive breakdown of every tunable parameter.
Adaptive Time-Frames & RSI Gatekeeper
Think of this as an automated gear shifter. When looking at lower timeframes (below a user-defined boundary, e.g. 1 hour), the engine automatically scales down to tight, agile lookback periods. When viewing high timeframes, it dials up to filter out noise.
Buying a bullish MACD cross when the RSI is already at 85 increases risk of buying the top when the tank is empty. The optional RSI Safety Filter acts as a strict ceiling/floor blocker. If momentum crosses upward but the asset is mathematically overbought, the indicator suppresses the background highlight. It prevents signals on MACD crosses that have no fuel left.
VOLATILITY ENGINE: BB-KC Squeeze Radar
Building on John Carter’s TTM Squeeze by mapping the contraction of Bollinger Bands inside Keltner Channels to identify market stalemates. The implementation here color codes between a Loose Squeeze (BB inside 1.5 KC) and a hyper-compressed Tight Squeeze (BB inside 1.0 KC) to show the staged intensity of the coiled spring.
While the market coils sideways, a 20-period Linear Regression calculates the trajectory of price deviation inside the bands. The directional bias is shown by customizable markers on the zero line (default ⌃ or ⌄). This reveals hidden institutional accumulation or distribution before the trigger is pulled. To bypass "dead money" risk, the script tracks the first clean candle close or intraday pierce outside the Keltner bounds following a squeeze, catching the expansion phase exactly as it starts.
Furthermore, it accounts for the "Disappearing Mark" phenomenon. Bollinger Bands expand instantly when price moves, causing standard squeeze signals to vanish 1-3 bars before the real breakout candle. This script uses a memory state to remember recent compression, firing a "squeeze release" marker (default ❖) the exact moment price closes outside the Keltner bounds. Trade the release, not the waiting room.
Note: While MACD Dive tracks this compression mathematically on its zero-line, you can see the actual physical boundaries of the breakout by pairing it with my companion Swing Data suite . Plotting its Keltner Channel at 1.5 multiplier over your price chart allows you to visually verify the exact moment the squeeze release mark is ignited.
SATURATION ENGINE: Dual-Lock %R and Momentum Rot
This suite tracks sustained trend maturity using a fast/slow dual Williams %R setup. The conceptual pairing of a fast and slow %R to identify overbought/oversold exhaustion is credited to upslidedown's excellent Trend Exhaustion indicator . I highly recommend applying their script to your chart if you want to visually learn how the two %R lines interact.
While upslidedown’s implementation offers multiple display modes to paint visual boxes and exhaustion zones directly over price action, the focus here is on the discrete icons for trend status at the top and bottom of the MACD pane: Ignition (·), Saturation (□), and Fatigue (×). This suite adapts native ta.wpr() math assuming the trader is already familiar with Dual %R mechanics. Specific "Sprint" and "Marathon" tuning guidance is provided in the tooltips: heavily smoothing the fast line to ignore intraday noise, while lightly smoothing the macro slow line to preserve its reach into extreme zones.
It also features one major addition: the Stall. While Dual %R tracks Price Location (confirming price is structurally pinned at the highs), it doesn't track Velocity (confirming energy is sustained). To solve this, a Stoch RSI "Rot" detector runs quietly inside the saturation state. If price continues to float at the highs but internal velocity drops below a critical threshold, the script overlays a Stall marker (•). Designed as a "one-shot" early warning, it fires only on the first detection per trend saturation leg to prevent chart clutter. This differentiates a strong trend lock from a rotting lock, warning us that the move is running on fumes: giving us the exact cue to tighten stops, trim into parabolic strength, and strictly avoid adding new size.
BACKTESTER READY
Out-of-the-box compatibility with a comprehensive built-in README guide is available directly inside the settings menu. For traders who prefer a "Diamond Hands" approach, the indicator fully maps to Jason5480's TTS Framework convention, outputting strict integer states (1, -1, 2, -2) to hold full position size until the trailing macro baseline completely fractures. My personal backtester, Cosmos Signal Commander (which may be released to the public in the future), broadcasts a composite float signal capable of managing active trade positioning. It tracks entries, hard stops, and partial take-profits (swapping the trailing stop from tight to a wide "runner" buffer upon hitting extended ATR targets).
PERFORMANCE OPTIMIZATION
O(1) Memory States: Replaced lag-heavy ta.barssince() and 50-bar for loops in the Divergence engine with O(1) var state trackers.
String Caching: HUD table strings are built once in the global var scope to prevent constant memory allocation and garbage collection lag.
UI Mutation: The HUD uses table.cell_set_* to alter data dynamically, bypassing the stutter caused by destroying and redrawing tables on every tick.
Native C++ Backend: Replaced custom highest/lowest math arrays with native ta.wpr() functions for the %R engine to maximize computation speed.
Ghost State Resets: When switching the backtester logic to "Long Only" mode, the engine actively hunts and kills lingering short-memory variables so they don't inadvertently suppress valid long signals.
Indicateur
Conflux Engine | AnonycryptousConflux Engine | Anonycryptous
Description & user manual
Why this indicator is different?
Most signal indicators work the same way. One condition triggers. One signal fires. The trader either takes it or does not.
The problem is that a single condition — a crossover, a level break, a momentum read — is almost never enough to define a genuinely high-quality trade. Markets are too complex and too noisy for that.
Conflux Engine works differently.
It does not fire on one condition. It requires multiple independent market forces to align simultaneously before a signal appears. Structure has to agree. Volume has to confirm. Momentum has to support. Volatility has to be in the right zone. Session positioning has to be favorable. And optionally, the higher timeframe trend and the ribbon have to be aligned too.
Only when enough of these forces agree — and agree clearly — does the indicator produce a signal.
This is what confluence means in practice. Not one thing being right. Multiple independent things being right at the same time.
The result is fewer signals. But the signals that do appear carry more weight than anything a single-condition system can produce.
Important notice
Conflux Engine generates trading signals based on a multi-factor scoring engine.
These signals are not financial advice.
They do not predict the future.
They do not guarantee profitability.
They are a systematic read of current market conditions across multiple dimensions.
All trading decisions are made entirely by the user.
Always manage your own risk. Always apply your own judgment.
1. Overview
Conflux Engine is a scoring-based signal indicator for traders who want structured, high-conviction entries rather than frequent, noisy ones.
Six independent pillars evaluate the market continuously. Each pillar scores independently. The scores combine into a total out of 100. When the total exceeds the signal threshold — and the dominant direction leads the opposite direction by a minimum gap — a signal fires.
Additional hard gates can be enabled: an ADX noise filter to block signals during choppy markets, a VWMA filter to ensure macro trend alignment, a Supertrend filter for dynamic trend confirmation, and an Ultra Ribbon filter using 15 Hull Moving Averages for the fastest momentum read.
The result is an indicator that is selective by design. It is not built to fire constantly. It is built to fire well.
2. The six pillars
2.1 Structure
Evaluates market structure using swing pivot highs and lows. A higher high combined with a higher low defines a bullish structure. A lower high combined with a lower low defines a bearish structure.
This pillar answers the most fundamental question in trading: is the market making progress in a direction, or is it deteriorating?
Weight: up to 16 points.
2.2 Volume
Uses OBV slope via linear regression to determine whether volume is accumulating in the direction of price or diverging from it.
Rising OBV slope on a bullish signal means participation supports the move. Falling OBV slope on a bullish signal is a warning. This pillar separates moves with institutional backing from moves without it.
Weight: up to 16 points.
2.3 Momentum
Evaluates three independent momentum reads: KAMA position (a Kaufman adaptive moving average that adjusts its speed to market conditions), RSI relative to the 50 midline with slope direction, and Williams %R for price positioning within the recent range.
Two of three aligned scores partial points. All three aligned scores full points.
Weight: up to 16 points.
2.4 Liquidity
Detects sweep events — moments where price wicks beyond a recent swing high or low and closes back inside. These events mark liquidity grabs and often precede directional moves.
A confirmed bull sweep sets up a long bias context. A confirmed bear sweep sets up a short bias context. The context remains active for a configurable number of bars, decaying over time.
Weight: up to 16 points.
2.5 Volatility
Measures ATR relative to its own moving average to identify the volatility sweet spot. Signals during dead, flat markets carry less meaning. Signals during chaotically explosive moves are harder to execute cleanly. This pillar rewards the in-between: active, directional, manageable volatility.
Weight: up to 16 points.
2.6 Session
Evaluates price positioning within the current day's developing range. Price in the lower portion of the range (discount) favors long bias. Price in the upper portion (premium) favors short bias.
This pillar can be toggled independently from the session time filter — you can use session scoring without restricting signals to specific hours, or vice versa.
Weight: up to 20 points.
3. Hard gates
Beyond the six scoring pillars, Conflux Engine includes four optional hard gates. These do not add points. They block signals entirely when their condition is not met.
3.1 ADX noise filter
Blocks signals when ADX is below a configurable threshold. ADX measures trend strength. A low ADX means the market is ranging and directionless — exactly the environment where momentum signals fail most often. Default threshold: 35. Adjustable up to 100 for maximum selectivity.
3.2 VWMA filter
Price must be above the Volume Weighted Moving Average for long signals, and below it for short signals. The VWMA is slower than a standard EMA and reflects the average price weighted by volume — a more meaningful macro reference than a simple average. Default length: 200.
3.3 Supertrend filter
The Supertrend must confirm the signal direction. This is a dynamic trend line based on ATR bands that flips cleanly between bull and bear states. It acts as an additional structural confirmation that the trend environment supports the entry.
3.4 Ultra Ribbon filter
The fastest gate. Built from 15 Hull Moving Averages spanning a range of lengths. When the fastest HMA is above the slowest HMA, the ribbon is bullish. When below, bearish. Because Hull MAs minimize lag, this gate reacts to trend changes earlier than most moving average systems.
The ribbon also serves as a trailing stop option in the backtest — the slowest HMA tracks trend without being too reactive.
4. Signal scoring
Every bar, both a bullish and bearish score are computed from the six pillars. The scores are added together.
A signal fires when:
- The dominant score meets or exceeds the signal threshold (default 70)
- The dominant score exceeds the opposite score by at least the directional lead (default 20)
- All enabled hard gates are cleared
This two-condition check — threshold plus gap — prevents marginal signals from appearing when the market is ambiguous. Both bull and bear can score reasonably high during mixed conditions. The gap requirement ensures the dominant direction is meaningfully ahead.
Pillar weights are individually adjustable. The system allows traders to prioritize the factors most relevant to their trading style and instrument.
The Extreme Threshold (default 90) flags signals where the confluence score is exceptionally high. These are the highest-conviction setups in the system.
5. The Ultra Ribbon
The Ultra Ribbon is a 15-layer Hull Moving Average ribbon that sits on the chart as both a visual trend tool and a momentum gate. Three themes are available:
Classic — green and red. Clear, functional, no ambiguity.
Phantom — cyan and pink with purple exhaustion. A darker, stylized read of the same data. (the default)
Custom — full color control for bull, bear, and exhaustion states.
The ribbon color adapts dynamically. When the spread between the fastest and slowest HMA is wide relative to its historical average, the ribbon fades toward the exhaustion color — a visual signal that the trend may be overextended. When the spread is moderate, the ribbon shows its full trend color.
Candle coloring follows the ribbon's bull/bear state continuously, giving an immediate read of trend direction on every bar.
The dashboard accent color and signal indicators follow the active theme, giving the entire indicator a unified visual identity across chart and panel.
6. Multi-timeframe filter
When enabled, the MTF filter evaluates the trend on a higher timeframe using a 50-period EMA. If the higher timeframe trend agrees with the signal direction, a weight bonus is added to the total score. If it disagrees, no bonus is added — but the signal is not blocked unless the score falls below threshold as a result.
This behavior is intentional. The HTF filter adds weight to aligned signals without making every counter-trend setup impossible. It rewards confluence with the bigger picture without enforcing hard alignment.
Default timeframe: 240 (4-hour).
Default weight bonus: 20 points.
7. Backtest and performance tracking
Confluence Engine includes a built-in performance tracker that logs every signal, applies configurable stop and target multipliers based on the current regime, and tracks wins, losses, and win rate across the visible history.
Stop loss modes:
- ATR — a fixed multiple of ATR from the entry price. Simple and consistent.
- Pivot — stop placed at the most recent swing low (for longs) or swing high (for shorts). Respects structure.
- Supertrend — stop placed at the dynamic Supertrend level at the time of entry. Tighter and adaptive.
- Trailing (h15) — stop follows the slowest HMA of the Ultra Ribbon. Trends with the market and gives winners more room.
Target multipliers are adjustable for each regime: Scalp, Intraday, and Swing. The regime is determined by the current ADX value.
Recent log shows the last three trade results in R multiples. This gives a quick read on recent system performance without requiring a separate journaling tool.
Note: the backtest uses bar close logic and approximated fill prices. It is a directional performance reference, not a precise simulation. Session filtering does not retroactively apply to historical trades — enabling session filtering after a test period will affect forward signals but not past performance data.
8. Dashboard reference
The dashboard updates on every bar and shows:
- Header: indicator name and current timeframe
- Pillar rows 1–6: score per pillar, colored by direction
- HTF Trend: higher timeframe alignment and weight (when MTF enabled)
- Signal: LONG / SHORT / WAIT with direction color
- Win Rate: percentage of tracked signals that hit target
- Recent Log: last three results in R multiples
- Score: total confluence score out of 100
- Session: OPEN or FILTERED
The dashboard header and accent colors follow the active ribbon theme.
Tiny, Small, and Normal size options are available.
9. Settings reference
General Settings
- Signal Threshold: minimum score to trigger a signal (50–95, default 70)
- Extreme Threshold: score above which extreme confluence is flagged (80–100, default 90)
- Directional Lead: minimum gap between bull and bear score (default 20)
Multi-Timeframe Trend
- Enable MTF Filter
- HTF Timeframe (default 240)
- HTF Weight (default 20)
Quality Filters (Noise Reduction)
- Enable ADX Noise Filter
- Min ADX Value (0–100, default 35)
Trend Confirmation
- Enable VWMA Filter + length
- Enable Supertrend Filter + ATR length + multiplier
- Show/hide Supertrend and VWMA lines
Pillar Weights
- Individual weight for each of the six pillars
Session Filtering
- Filter Entries by Session (time gate)
- Enable Session Pillar Scoring (premium/discount scoring)
- Trading Session input
Trade Suggestions (ATR Multipliers)
- SL and TP multipliers for Scalp, Intraday, and Swing regimes
Ultra Ribbon
- Enable Ribbon Filter
- Show Ribbon on Chart
- Base Length and Length Step
- Theme: Classic / Phantom / Custom
- Custom color inputs (bull, bear, elite)
Backtest & UI
- Enable Performance Tracking
- Start Year
- Show Active Trade Lines
- Show Recent Trade Log
- Stop Loss Mode: ATR / Pivot / Supertrend / Trailing (h15)
UI Settings
- Show Dashboard
- Dashboard Position
- Dashboard Size: Tiny / Small / Normal
10. How to use
10.1 Initial setup
1. Load the indicator on your preferred chart and timeframe.
2. Select a ribbon theme that matches your visual preference.
3. Set the signal threshold based on your desired selectivity. Start at 70.
4. Set the directional lead. 15–20 is a balanced starting point.
5. Enable the hard gates relevant to your style. For intraday trading, ADX + Supertrend is a strong combination. For swing trading, VWMA + MTF adds macro context.
6. Configure the session scoring if you trade specific sessions. NY traders: set session to 1330–2000 UTC (or your local equivalent).
7. Set your backtest start year and stop mode preference.
10.2 Reading a signal
When a signal appears:
- Check the dashboard. Which pillars are active? A signal with Structure + Volume + Momentum all scoring is stronger than one carried primarily by Session and Volatility.
- Check the score. A signal at 72 with a 20-point gap is valid but tight. A signal at 88 with a 30-point gap is a high-conviction setup.
- Check the ribbon. Is it cleanly bullish or bearish? Is it near exhaustion color? Signals during ribbon exhaustion carry more risk.
- Check the hard gates. They cleared — but were they close? A signal that barely cleared ADX 35 is different from one with ADX at 55.
10.3 Managing entries
Confluence Engine does not tell you the exact entry price. It tells you when conditions align. Your entry technique — pullback, breakout, limit at structure — remains your decision.
Use the stop mode that fits your trade: ATR for consistency, Pivot for structure-respect, Supertrend for dynamic adaptation, Trailing h15 for trend trades you want to hold.
10.4 Interpreting win rate
The built-in win rate is a useful reference, not a guarantee of future performance. A 65% win rate over 50 signals on a specific asset and timeframe tells you the system has been profitable in that environment. It does not guarantee the next signal wins.
Win rate should always be evaluated alongside average RR. A 60% win rate at 2R average beats a 70% win rate at 0.8R average. Use the recent log and the trade lines together to assess both dimensions.
10.5 Optimizing settings
If you see too many signals: raise the threshold, raise the directional lead, raise the ADX minimum, or enable additional hard gates.
If you see too few signals: lower the threshold slightly, reduce the directional lead, or disable one or two hard gates.
Do not optimize purely for win rate without considering signal frequency. A system that fires once per week at 80% win rate is different in practice from one that fires daily at 65%. Both can be profitable. Choose what fits your trading style.
11. Timeframe guide
1m–5m — Ultra Ribbon filter on, ADX threshold 30–40, Supertrend on, session scoring on. Focus on fast momentum signals during active sessions.
15m–30m — Full filter stack recommended. Threshold 70–75. Strong balance of frequency and quality.
1H–4H — VWMA and MTF filter add significant value. Threshold 75–80. Fewer signals, higher conviction.
Daily — Disable session scoring. Enable VWMA and MTF only. Use as swing context, not scalp tool.
12. What this indicator does not do
- Does not predict price direction with certainty
- Does not guarantee profitability
- Does not replace your own risk management
- Does not account for news events, gaps, or liquidity voids
- Does not track open positions in real time
- Does not connect to any broker or execution system
- Does not replace the Risk Management Engine for position sizing and account compliance
For position sizing, drawdown compliance, and trade logging, pair with Risk Management Engine | Anonycryptous.
For complete session analysis and market context, pair with Environment | Anonycryptous.
Together, the three tools cover strategy context, signal generation, and risk execution — a complete framework for structured trading.
13. Disclaimer
This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation.
All trading decisions are made entirely by the user. The indicator provides signal analysis based on configurable parameters — the relevance of any output depends on how those parameters are set and the market conditions in which the indicator is used.
Trading financial instruments involves substantial risk of loss. Past performance of the backtest function is not indicative of future results. You may lose all of your invested capital.
Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator or any content in this manual.
Indicateur
[ A L P H A X ] Reversal - RSI Divergence + WPR Timing EngineAlphaX Reversal — RSI Divergence Engine, Triple WPR Timing System, Multi-Confluence Confidence Scoring & Smart Entry/Exit Signals
AlphaX Reversal is a professional-grade reversal detection and signal system built on a dual-engine architecture combining RSI Divergence analysis with a triple-timeframe Williams %R timing system. It detects both regular and hidden divergences, scores every signal through a real-time multi-factor confidence engine, and produces clean tier-graded entry labels and exit markers — all governed by intelligent filters that eliminate low-quality setups automatically. Designed for reversal traders and swing scalpers on instruments like XAUUSD, indices, and forex majors.
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🔬 The Two-Engine Architecture — How It Works
AlphaX Reversal is powered by two independent engines that must both agree before any signal fires.
Engine 1 — RSI Divergence Detector
The first engine continuously monitors RSI pivot highs and lows against price pivot highs and lows, detecting four divergence types in real time:
Regular Bullish Divergence — price makes a lower low while RSI makes a higher low (classic exhaustion reversal)
Regular Bearish Divergence — price makes a higher high while RSI makes a lower high (classic distribution signal)
Hidden Bullish Divergence — price makes a higher low while RSI makes a lower low (trend continuation after pullback)
Hidden Bearish Divergence — price makes a lower high while RSI makes a higher high (distribution within a downtrend)
When a valid divergence pair is found, a line is drawn on the price chart between the two pivot points — immediate visual confirmation of the structure that triggered the signal.
Engine 2 — Triple WPR Timing System
The second engine runs three Williams %R oscillators simultaneously at different periods:
WPR Fast — the primary signal generator, reacting quickly to momentum shifts
WPR Medium — intermediate confirmation, filtering out fast WPR noise
WPR Slow — macro trend direction, used to gate counter-trend entries
A divergence signal from Engine 1 must be confirmed by a qualifying WPR condition from Engine 2 — a cross from an extreme zone, rising velocity, or a multi-bar recovery. This two-layer gate is what prevents AlphaX Reversal from firing on every minor oscillator wiggle.
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📊 Four Divergence Types
AlphaX Reversal detects and distinguishes between four divergence structures, each labeled directly on the signal:
REG Bull — Regular Bullish. Price exhaustion at a new low while momentum is already recovering. Strongest reversal signal.
REG Bear — Regular Bearish. Price making new highs on declining momentum. Classic distribution.
HID Bull — Hidden Bullish. A pullback within an uptrend — trend continuation setup.
HID Bear — Hidden Bearish. A bounce within a downtrend — continuation of the bear move.
Regular divergences receive a higher base confidence score than hidden divergences, reflecting their stronger reversal probability.
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🏷 Signal Tiers — S / A / B
Every entry signal is graded into one of three tiers based on its real-time confidence score:
S-Tier (70%+) — the highest quality setups. All major confluence factors aligned. Brightest label, strongest visual weight.
A-Tier (55–69%) — strong setups with most factors confirmed. Standard brightness.
B-Tier (35–54%) — valid setups that meet the minimum threshold. Dimmer label color.
Tier, divergence type, and confidence score are all displayed directly on every label — you always know the quality of the setup at a glance, without checking the dashboard.
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🧠 Multi-Confluence Confidence Scoring
Every signal is scored by a real-time engine evaluating eight independent factors. Only signals meeting your configured Min Confidence % threshold are displayed.
Divergence Type Quality (up to 30 points)
Regular divergence — 30 points
Hidden divergence — 22 points
WPR Extreme Depth (up to 20 points)
How deeply the Fast WPR penetrated into oversold or overbought territory before recovering — deeper penetration scores higher
WPR Cross Timing (up to 15 points)
Cross from extreme zone — 15 points
Strong WPR velocity — 10 points
Multi-bar recovery in progress — 6 points
WPR Multi-Timeframe Alignment (up to 10 points)
All three WPR timeframes simultaneously in extreme territory (Triple OS/OB) — 10 points
Medium WPR in extreme zone — 7 points
WPR Slow Structural Context (up to 8 points)
Slow WPR aligned with the signal direction adds structural confirmation
Candle Confirmation (up to 7 points)
Strong-bodied candle closing in the signal direction — 7 points
Weaker confirming close — 4 points
Volume (up to 5 points)
Volume spike (1.5× average) — 5 points
Above-average volume — 3 points
RSI Depth Bonus (up to 5 points)
RSI below 25 (bull) or above 75 (bear) adds a bonus for extreme readings that reinforce the divergence
Penalty Deductions
RSI at opposite extreme — up to 10 points deducted
WPR Slow against the signal direction — up to 8 points deducted
Extreme WPR velocity (likely spike or wick) — up to 5 points deducted
The default minimum confidence is 35% — optimized for XAUUSD 1-minute to filter noise while keeping valid reversal setups. Increase to 45–55% for cleaner signals on higher timeframes.
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🚪 Exit Markers
Red dot markers indicating where the WPR system detects counter-trend momentum building — time to consider taking profit or tightening stops
Exit markers appear as small red dots and fire only after a position is open:
During a long position — a bearish WPR signal triggers an exit dot above the bar
During a short position — a bullish WPR signal triggers an exit dot below the bar
Two independent exit modes are available and can be toggled separately:
Exit on Opposite Signal — exits the current position when a full opposing entry signal fires
Exit on WPR Exhaustion — exits when WPR crosses into the opposing extreme zone beyond your configured threshold
Use exit markers to take partial or full profit, tighten your stop loss, or pause new entries until the next signal confirms continuation.
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📋 Live Dashboard
The built-in dashboard displays full system state in real time:
RSI — current value with color-coded extremes
WPR Fast / Medium / Slow — all three values with directional coloring
WPR Velocity — FLAT / RISING / FALLING / FAST with color grading
Divergence Status — the active divergence type on the current bar
Bull Confidence % — live score for the current bullish setup
Bear Confidence % — live score for the current bearish setup
Position — LONG / SHORT / FLAT tracking the active signal direction
Open P&L — real-time unrealized profit and loss in price and percentage
Volume — NORMAL / HIGH / SPIKE with current ratio vs 20-bar average
The dashboard can be positioned in any corner and text size is independently configurable.
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🚀 How to Trade with AlphaX Reversal — Step by Step
Step 1 — Watch for a Divergence Line
When a divergence line appears connecting two pivots on the chart, Engine 1 has detected a valid structure
Check the dashboard Divergence Status row to confirm the type
Step 2 — Enter on the Signal Label
When the label fires, both engines have confirmed the setup
The label shows tier (S/A/B), divergence type (REG/HID), and confidence score directly on the bar
Place your stop loss beyond the price pivot that formed the divergence
Step 3 — Manage with the Dashboard
Monitor WPR Velocity and WPR Fast — rising values confirm the reversal is following through
Flat or reversing velocity warns that momentum is stalling early
Step 4 — Exit on the Red Dot
When a red exit dot appears, counter-trend momentum has built sufficiently to trigger the exit engine
Take partial or full profit, or tighten your stop
Step 5 — Reset and Wait
After an exit, wait for the next divergence structure before re-entering
Do not force entries between signals
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⚡ Key Features
🔬 Dual-engine architecture — RSI Divergence and triple WPR timing must both confirm before any signal fires
📐 Four divergence types — Regular Bullish, Regular Bearish, Hidden Bullish, Hidden Bearish — detected and labeled distinctly
🏷 Three signal tiers (S / A / B) — confidence-graded labels with visual weight matching signal quality
🧠 Multi-factor confidence scoring — divergence type, WPR depth, velocity, timing, candle body, volume, RSI depth, and penalties
📉 Divergence lines drawn automatically — visual confirmation of the exact pivot pair that triggered the signal
🔴 Smart exit markers — red dots that fire only after a position is open, triggered by WPR exhaustion or opposing signal
📋 Full live dashboard — RSI, three WPR values, velocity, divergence status, confidence scores, position, P&L, and volume in one panel
⏱ Signal cooldown filter — prevents repeated signals during volatile whipsaw conditions
🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, gray for exits and neutral states
🔔 17 alert conditions — tiered entry alerts, exit alerts, divergence detection alerts, and WPR extreme alerts
⚙ Fully configurable — all periods, thresholds, divergence widths, colors, and exit modes adjustable
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⚙ Settings Reference
RSI Divergence
RSI Period — base RSI calculation period (default: 9)
RSI Pivot Lookback — pivot detection sensitivity (default: 3)
Max Divergence Width — maximum bars between the two pivot points (default: 40)
Min Divergence Width — minimum bars between the two pivot points (default: 5)
Show Divergence Lines — toggle the connecting lines on the price chart
WPR Timing
WPR Fast / Medium / Slow Period — three independent WPR periods (defaults: 8 / 21 / 55)
WPR Oversold / Overbought Levels — extreme zone thresholds (defaults: -82 / -18)
Signal Filters
Min Confidence % — minimum score to display a signal (default: 35%)
Signal Cooldown — minimum bars between consecutive signals (default: 6)
Require Volume Confirm — optional volume gate using a minimum ratio vs 20-bar average
Exits
Exit on Opposite Signal — exit the current position when an opposing signal fires
Exit on WPR Exhaustion — exit when WPR crosses into the opposing extreme zone
WPR Exit Bull / Bear Levels — configurable WPR thresholds for the exhaustion exit
Appearance & Dashboard
Label Size — Tiny / Small / Normal
Dashboard Text Size — Tiny / Small / Normal
Show Dashboard — toggle the live overlay panel
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
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🔔 Alert Conditions
S-Tier Bull Reversal — bullish signals scoring 70%+
A-Tier Bull Reversal — bullish signals scoring 55–69%
B-Tier Bull Reversal — bullish signals scoring 35–54%
S-Tier Bear Reversal — bearish signals scoring 70%+
A-Tier Bear Reversal — bearish signals scoring 55–69%
B-Tier Bear Reversal — bearish signals scoring 35–54%
Any Bull Reversal — all bullish entry signals combined
Any Bear Reversal — all bearish entry signals combined
Any Reversal Signal — all entries combined
Bull Exit — long position exit signal
Bear Exit — short position exit signal
Any Exit — all exits combined
Regular Bull Divergence Detected
Regular Bear Divergence Detected
Hidden Bull Divergence Detected
Hidden Bear Divergence Detected
Triple WPR Oversold — all three WPR periods simultaneously in oversold territory
Triple WPR Overbought — all three WPR periods simultaneously in overbought territory
All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration.
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🎯 Default Settings — Optimized For
The default configuration is specifically tuned for XAUUSD (Gold) on the 1-minute and 5-minute timeframes :
Confidence threshold at 35% filters low-quality setups while keeping valid reversal signals
Cooldown at 6 bars prevents label spam during volatile back-and-forth conditions
WPR periods (8 / 21 / 55) calibrated for gold's fast-moving intraday reversal structure
Divergence width of 5–40 bars captures the relevant reversal structures without reaching too far back
For other instruments or timeframes, adjust:
Higher timeframes (15m, 1H) — increase RSI Pivot Lookback to 4–5, increase Min Confidence to 40–50%, widen Max Divergence Width to 50–60
Forex majors — defaults work well; reduce RSI Period to 7 for faster detection
Indices (NAS100, US30) — increase WPR Slow to 89 for broader trend context
Less noise — increase Min Confidence %, increase Cooldown, reduce Max Divergence Width
More signals — decrease Min Confidence %, decrease Cooldown, widen divergence window
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👥 Who This Is For
🥇 Gold (XAUUSD) reversal traders — built and tested on gold's sharp intraday reversal character
📉 Forex and index swing traders — applicable to any instrument that exhibits momentum divergence at turning points
🧠 Systematic traders — the tiered confidence scoring gives a quantitative quality framework, not just visual arrows
📈 Traders who want to know why — every signal shows its tier, divergence type, and score directly on the label
⚠ Traders who struggle with overtrading — the dual-engine confirmation gate and confidence threshold physically prevent weak signals from appearing
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📝 Notes
All signals are confirmed on bar close — no repainting
Divergence lines connect the actual price pivot points used to generate the signal
The position tracker and P&L display are internal to the indicator and do not connect to your broker account
Maximum 500 labels and 500 lines — on very low timeframes with extended history, oldest drawings may be removed automatically by TradingView's rendering limits
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who want to see the divergence, understand the confirmation, and act with confidence. Indicateur
Piv X**Title:** Piv X: Confluence-Based Market Structure & Volume Analyzer
**Introduction**
Piv X is a comprehensive market structure analysis tool designed to grade the quality of Pivot Points using a composite "Confluence Score." Unlike standard indicators that simply identify local highs and lows based on price alone, this script evaluates the *strength* of every pivot by cross-referencing it against volume data, momentum divergences, multi-timeframe structure, and institutional key levels.
**Concept & Methodology**
The core functionality of this script builds upon a **Dynamic Pivot Quality Scoring System**. When a pivot point is detected (using an ATR-based dynamic lookback), the script runs a background analysis on 10+ technical factors to assign a "Confluence Score" (0-100).
The score is calculated based on the accumulation of the following factors:
1. **Volume Anomalies**: Detects volume spikes at the pivot, suggesting institutional participation.
2. **Momentum Divergence**: Checks for RSI and Williams %R divergences relative to price action to identify exhaustion.
3. **Liquidity Mechanics**: Identifies "Swing Failure Patterns" (SFP) and "Sweeps" where price pierces a previous structure but closes back inside.
4. **Multi-Timeframe Alignment**: Verifies if the pivot aligns with Higher Timeframe (HTF) trends and structures to filter out counter-trend noise.
5. **Key Level Interaction**: Rewards pivots that form near Daily/Weekly Highs or Lows.
6. **Fair Value Gap (FVG) Fills**: Detects if the pivot is reacting to a market imbalance fill.
**Unique Feature: Williams %R Divergence Anchored VWAP**
This tool introduces a logic-driven Anchored VWAP. Instead of arbitrarily anchoring VWAPs to high/low dates, the script automatically anchors a VWAP from the exact candle where a Williams %R Momentum Divergence is confirmed. This allows traders to visualize the "true cost basis" of participants who entered specifically on the momentum reversal signal.
**How to Use**
1. **Golden Zones (High Confluence)**: Pivots that achieve a high Confluence Score (e.g., >80) are highlighted with a distinct "Golden" border and background. These represent high-probability Support/Resistance levels backed by multiple forms of technical evidence.
2. **Standard Zones (Normal Confluence)**: Pivots with moderate scores are shown in standard Green/Purple. These are valid structure points but may require additional confirmation before trading.
3. **Trend Filtering**: The "Trend System" overlay (using EMA Clouds and RSI filters) provides visual context for the dominant trend direction, helping traders avoid taking structure signals against the main flow.
4. **Market Structure Shifts (MSS)**: The script automatically plots CHoCH (Change of Character) lines to alert traders when the sequence of Higher Highs or Lower Lows has been broken, often signaling a trend reversal.
**Settings**
* **Pivot Detection**: Adjust the ATR Multiplier to control the sensitivity of pivot detection.
* **Filters**: Toggle specific scoring factors (like Session Logic or HTF Confluence) to customize how strict the Scoring System is.
* **Visuals**: Enable/Disable specific VWAP periods (Weekly, Monthly, Yearly) to keep the chart clean.
**Disclaimer**
This tool is intended for market analysis and educational purposes only. Past performance of these setups does not guarantee future results.
Indicateur
Williams R Zone Scalper v1.0[BullByte]Originality & Usefulness
Unlike standard Williams R cross-over scripts, this strategy layers five dynamic filters—moving-average trend, Supertrend, Choppiness Index, Bollinger Band Width, and volume validation —and presents a real-time dashboard with equity, PnL, filter status, and key indicator values. No other public Pine script combines these elements with toggleable filters and a custom dashboard. In backtests (BTC/USD (Binance), 5 min, 24 Mar 2025 → 28 Apr 2025), adding these filters turned a –2.09 % standalone Williams R into a +5.05 % net winner while cutting maximum drawdown in half.
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What This Script Does
- Monitors Williams R (length 14) for overbought/oversold reversals.
- Applies up to five dynamic filters to confirm trend strength and volatility direction:
- Moving average (SMA/EMA/WMA/HMA)
- Supertrend line
- Choppiness Index (CI)
- Bollinger Band Width (BBW)
- Volume vs. its 50-period MA
- Plots blue arrows for Long entries (R crosses above –80 + all filters green) and red arrows for Short entries (R crosses below –20 + all filters green).
- Optionally sets dynamic ATR-based stop-loss (1.5×ATR) and take-profit (2×ATR).
- Shows a dashboard box with current position, equity, PnL, filter status, and real-time Williams R / MA/volume values.
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Backtest Summary (BTC/USD(Binance), 5 min, 24 Mar 2025 → 28 Apr 2025)
• Total P&L : +50.70 USD (+5.05 %)
• Max Drawdown : 31.93 USD (3.11 %)
• Total Trades : 198
• Win Rate : 55.05 % (109/89)
• Profit Factor : 1.288
• Commission : 0.01 % per trade
• Slippage : 0 ticks
Even in choppy March–April, this multi-filter approach nets +5 % with a robust risk profile, compared to –2.09 % and higher drawdown for Williams R alone.
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Williams R Alone vs. Multi-Filter Version
• Total P&L :
– Williams R alone → –20.83 USD (–2.09 %)
– Multi-Filter → +50.70 USD (+5.05 %)
• Max Drawdown :
– Williams R alone → 62.13 USD (6.00 %)
– Multi-Filter → 31.93 USD (3.11 %)
• Total Trades : 543 vs. 198
• Win Rate : 60.22 % vs. 55.05 %
• Profit Factor : 0.943 vs. 1.288
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Inputs & What They Control
- wrLen (14): Williams R look-back
- maType (EMA): Trend filter type (SMA, EMA, WMA, HMA)
- maLen (20): Moving-average period
- useChop (true): Toggle Choppiness Index filter
- ciLen (12): CI look-back length
- chopThr (38.2): CI threshold (below = trending)
- useVol (true): Toggle volume-above-average filter
- volMaLen (50): Volume MA period
- useBBW (false): Toggle Bollinger Band Width filter
- bbwMaLen (50): BBW MA period
- useST (false): Toggle Supertrend filter
- stAtrLen (10): Supertrend ATR length
- stFactor (3.0): Supertrend multiplier
- useSL (false): Toggle ATR-based SL/TP
- atrLen (14): ATR period for SL/TP
- slMult (1.5): SL = slMult × ATR
- tpMult (2.0): TP = tpMult × ATR
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How to Read the Chart
- Blue arrow (Long): Williams R crosses above –80 + all enabled filters green
- Red arrow (Short) : Williams R crosses below –20 + all filters green
- Dashboard box:
- Top : position and equity
- Next : cumulative PnL in USD & %
- Middle : green/white dots for each filter (green=passing, white=disabled)
- Bottom : Williams R, MA, and volume current values
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Usage Tips
- Add the script : Indicators → My Scripts → Williams R Zone Scalper v1.0 → Add to BTC/USD chart on 5 min.
- Defaults : Optimized for BTC/USD.
- Forex majors : Raise `chopThr` to ~42.
- Stocks/high-beta : Enable `useBBW`.
- Enable SL/TP : Toggle `useSL`; stop-loss = 1.5×ATR, take-profit = 2×ATR apply automatically.
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Common Questions
- * Why not trade every Williams R reversal?*
Raw Williams R whipsaws in sideways markets. Choppiness and volume filters reduce false entries.
- *Can I use on 1 min or 15 min?*
Yes—adjust ATR length or thresholds accordingly. Defaults target 5 min scalping.
- *What if all filters are on?*
Fewer arrows, higher-quality signals. Expect ~10 % boost in average win size.
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Disclaimer & License
Trading carries risk of loss. Use this script “as is” under the Mozilla Public License 2.0 (mozilla.org). Always backtest, paper-trade, and adjust risk settings to your own profile.
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Credits & References
- Pine Script v6, using TradingView’s built-in `ta.supertrend()`.
- TradingView House Rules: www.tradingview.com
Goodluck!
BullByte
Stratégie
Williams BBDiv Signal [trade_lexx]📈 Williams BBDiv Signal — Improve your trading strategy with accurate signals!
Introducing Williams BBDiv Signal , an advanced trading indicator designed for a comprehensive analysis of market conditions. This indicator combines Williams%R with Bollinger Bands, providing traders with a powerful tool for generating buy and sell signals, as well as detecting divergences. It is ideal for traders who need an advantage in detecting changing trends and market conditions.
🔍 How signals work
— A buy signal is generated when the Williams %R line crosses the lower Bollinger Bands band from bottom to top. This indicates that the market may be oversold and ready for a rebound. They are displayed as green triangles located under the Williams %R graph. On the main chart, buy signals are displayed as green triangles labeled "Buy" under candlesticks.
— A sell signal is generated when the Williams %R line crosses the upper Bollinger Bands band from top to bottom. This indicates that the market may be overbought and ready for a correction. They are displayed as red triangles located above the Williams %R chart. On the main chart, the sell signals are displayed as red triangles with the word "Sell" above the candlesticks.
— Minimum Bars Between Signals
The user can adjust the minimum number of bars between the signals to avoid false signals. This helps to filter out noise and improve signal quality.
— Mode "Wait for Opposite Signal"
In this mode, buy and sell signals are generated only after receiving the opposite signal. This adds an additional level of filtering and helps to avoid false alarms.
— Mode "Overbought and Oversold Zones"
A buy signal is generated only when Williams %R is below the -80 level (Lower Band). A sell signal is generated only when Williams %R is above -20 (Upper Band).
📊 Divergences
— Bullish divergence occurs when Williams%R shows a higher low while price shows a lower low. This indicates a possible upward reversal. They are displayed as green lines and labels labeled "Bull" on the Williams %R chart. On the main chart, bullish divergences are displayed as green triangles labeled "Bull" under candlesticks.
— A bearish divergence occurs when Williams %R shows a lower high, while the price shows a higher high. This indicates a possible downward reversal. They are displayed as red lines and labels labeled "Bear" on the Williams %R chart. On the main chart, bearish divergences are displayed as red triangles with the word "Bear" above the candlesticks.
— 🔌Connector Signal🔌 and 🔌Connector Divergence🔌
It allows you to connect the indicator to trading strategies and test signals throughout the trading history. This makes the indicator an even more powerful tool for traders who want to test the effectiveness of their strategies on historical data.
🔔 Alerts
The indicator provides the ability to set up alerts for buy and sell signals, as well as for divergences. This allows traders to keep abreast of important market developments without having to constantly monitor the chart.
🎨 Customizable Appearance
Customize the appearance of Williams BBDiv Signal according to your preferences to make the analysis more convenient and visually pleasing. In the indicator settings section, you can change the colors of the buy and sell signals, as well as divergences, so that they stand out on the chart and are easily visible.
🔧 How it works
— The indicator starts by calculating the Williams %R and Bollinger Bands values for a certain period to assess market conditions. Initial assumptions are introduced for overbought and oversold levels, as well as for the standard deviation of the Bollinger Bands. The indicator then analyzes these values to generate buy and sell signals. This classification helps to determine the appropriate level of volatility for signal calculation. As the market evolves, the indicator dynamically adjusts, providing information about the trend and volatility in real time.
Quick Guide to Using Williams BBDiv Signal
— Add the indicator to your favorites by clicking on the star icon. Adjust the parameters, such as the period length for Williams %R, the type of moving average and the standard deviation for Bollinger Bands, according to your trading style. Or leave all the default settings.
— Adjust the signal filters to improve the quality of the signals and avoid false alarms, adjust the filters in the "Signal Settings" section.
— Turn on alerts so that you don't miss important trading opportunities and don't constantly sit at the chart, set up alerts for buy and sell signals, as well as for divergences. This will allow you to keep abreast of all key market developments and respond to them in a timely manner, without being distracted from other business.
— Use signals. They will help you determine the optimal entry and exit points for your positions. Also, pay attention to bullish and bearish divergences, which may indicate possible market reversals and provide additional trading opportunities.
— Use the 🔌Connector🔌 for deeper analysis and verification of the effectiveness of signals, connect it to your trading strategies. This will allow you to test signals throughout the trading history and evaluate their accuracy based on historical data. Include the indicator in your trading strategy and run testing to see how buy and sell signals have worked in the past. Analyze the test results to determine how reliable the signals are and how they can improve your trading strategy. This will help you make better informed decisions and increase your trading efficiency. Indicateur
Indicateur
Indicateur
Stratégie
Ultimate Balance StrategyThe Ultimate Balance Oscillator Strategy harnesses the power of the Ultimate Balance Oscillator to deliver a comprehensive and disciplined approach to trading. By combining the insights of the Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this strategy offers traders a systematic way to navigate the markets with precision.
The core principle of this strategy lies in its ability to identify optimal entry and exit points based on the movement of the Ultimate Balance Oscillator. When the oscillator line crosses below the 0.75 level, a buy signal is generated, indicating a potential opportunity for a bullish trend reversal. Conversely, when the oscillator line crosses above the 0.25 level, it triggers an exit signal, suggesting a possible end to a bullish trend.
Key Features:
1. Objective Market Analysis: The Ultimate Balance Oscillator Strategy provides a disciplined and objective approach to market analysis. By relying on the quantified insights of multiple indicators, it helps traders cut through market noise and focus on key signals, improving decision-making and reducing emotional biases.
2. Enhanced Timing and Precision: This strategy's entry and exit signals are based on the specific thresholds of the Ultimate Balance Oscillator. By waiting for confirmation through the crossing of these levels, traders can potentially enter trades at opportune moments and exit with greater precision, maximizing profit potential and minimizing risk exposure.
3. Customizability and Adaptability: The strategy offers flexibility, allowing traders to customize the parameters to fit their preferred trading style and timeframes. Whether you're a short-term trader or a long-term investor, the Ultimate Balance Oscillator Strategy can be adjusted to suit your specific needs, making it adaptable to various market conditions.
4. Real-time Alerts: Stay informed and never miss a potential trade opportunity with the strategy's built-in alert system. Set personalized alerts for buy and exit signals to receive timely notifications, ensuring you're always aware of the latest developments in the market.
5. Backtesting and Optimization: Before applying the strategy to live trading, it's recommended to conduct thorough backtesting and optimization. By testing the strategy's performance over historical data and fine-tuning the parameters, you can gain insights into its strengths and weaknesses, enabling you to make informed adjustments and increase its effectiveness.
Trading involves risk. Use the Ultimate Balance Oscillator Strategy at your own discretion. Past performance is not indicative of future results. Stratégie
Ultimate Balance OscillatorIntroducing the Ultimate Balance Oscillator: A Powerful Trading Indicator
Built upon the renowned Rate of Change (ROC), Relative Strength Index (RSI), Commodity Channel Index (CCI), Williams Percent Range, and Average Directional Index (ADX) from TradingView, this indicator equips traders with an unparalleled understanding of market dynamics.
What sets the Ultimate Balance Oscillator apart is its meticulous approach to weighting. Each component is assigned a weight that reflects its individual significance, while carefully mitigating the influence of highly correlated signals. This strategic weighting methodology ensures an unbiased and comprehensive representation of market sentiment, eliminating dominance by any single indicator.
Key Features and Benefits:
1. Comprehensive Market Analysis: The Ultimate Balance Oscillator provides a comprehensive view of market conditions, enabling traders to discern price trends, evaluate momentum shifts, identify overbought or oversold levels, and gauge the strength of prevailing trends. This holistic perspective empowers traders to make well-informed decisions based on a thorough understanding of the market.
2. Enhanced Signal Accuracy: With its refined weighting approach, the Ultimate Balance Oscillator filters out noise and emphasizes the most relevant information. This results in heightened signal accuracy, providing traders with a distinct advantage in identifying optimal entry and exit points. Say goodbye to unreliable signals and welcome a more precise and dependable trading experience.
3. Adaptability to Various Trading Scenarios: The Ultimate Balance Oscillator transcends the constraints of specific markets or timeframes. It seamlessly adapts to diverse trading scenarios, accommodating both short-term trades and long-term investments. Traders can customize this indicator to suit their preferred trading style and effortlessly navigate ever-changing market conditions.
4. Simplicity and Ease of Use: The Ultimate Balance Oscillator simplifies trading analysis by providing a single line on the chart. Its straightforward interpretation and seamless integration into trading strategies make decision-making effortless. By observing bullish or bearish crossovers with the moving average, recognizing overbought or oversold levels, and tracking the overall trend of the oscillator, traders can make well-informed decisions with confidence.
5. Real-time Alerts: Stay ahead of the game with the Ultimate Balance Oscillator's customizable alert system. Traders can set up personalized alerts for bullish or bearish crossovers, breaches of overbought or oversold thresholds, or any specific events that align with their trading strategy. Real-time notifications enable timely action, ensuring traders never miss lucrative trading opportunities.
The Ultimate Balance Oscillator is a robust trading companion, empowering traders to make shrewd and calculated decisions. Embrace its power and elevate your trading endeavors to new heights of precision and success. Discover the potential of the Ultimate Balance Oscillator and unlock a world of trading possibilities. Indicateur
Williams %R Strategy
The Williams %R Strategy is a trading approach that is based on the Williams Percent Range indicator, available on the TradingView platform.
This strategy aims to identify potential overbought and oversold conditions in the market, providing clear buy and sell signals for entry and exit.
The strategy utilizes the Williams %R indicator, which measures the momentum of the market by comparing the current close price with the highest high and lowest low over a specified period. When the Williams %R crosses above the oversold level, a buy signal is generated, indicating a potential upward price movement. Conversely, when the indicator crosses below the overbought level, a sell signal is generated, suggesting a possible downward price movement.
Position management is straightforward with this strategy. Upon receiving a buy signal, a long position is initiated, and the position is closed when a sell signal is generated. This strategy allows traders to capture potential price reversals and take advantage of short-term market movements.
To manage risk, it is recommended to adjust the position size based on the available capital. In this strategy, the position size is set to 10% of the initial capital, ensuring proper risk allocation and capital preservation.
It is important to note that the Williams %R Strategy should be used in conjunction with other technical analysis tools and risk management techniques. Backtesting and paper trading can help evaluate the strategy's performance and fine-tune the parameters before deploying it with real funds.
Remember, trading involves risks, and past performance is not indicative of future results. It is always advised to do thorough research, seek professional advice, and carefully consider your financial goals and risk tolerance before making any investment decisions. Stratégie
Composite MomentumComposite Momentum Indicator - Enhancing Trading Insights with RSI & Williams %R
The Composite Momentum Indicator is a powerful technical tool that combines the Relative Strength Index (RSI) and Williams %R indicators from TradingView. This unique composite indicator offers enhanced insights into market momentum and provides traders with a comprehensive perspective on price movements. By leveraging the strengths of both RSI and Williams %R, the Composite Momentum Indicator offers distinct advantages over a simple RSI calculation.
1. Comprehensive Momentum Analysis:
The Composite Momentum Indicator integrates the RSI and Williams %R indicators to provide a comprehensive analysis of market momentum. It takes into account both the strength of recent price gains and losses (RSI) and the relationship between the current closing price and the highest-high and lowest-low price range (Williams %R). By combining these two momentum indicators, traders gain a more holistic view of market conditions.
2. Increased Accuracy:
While the RSI is widely used for measuring overbought and oversold conditions, it can sometimes generate false signals in certain market environments. The Composite Momentum Indicator addresses this limitation by incorporating the Williams %R, which focuses on the price range and can offer more accurate signals in volatile market conditions. This combination enhances the accuracy of momentum analysis, allowing traders to make more informed trading decisions.
3. Improved Timing of Reversals:
One of the key advantages of the Composite Momentum Indicator is its ability to provide improved timing for trend reversals. By incorporating both RSI and Williams %R, traders can identify potential turning points more effectively. The Composite Momentum Indicator offers an early warning system for identifying overbought and oversold conditions and potential trend shifts, helping traders seize opportunities with better timing.
4. Enhanced Divergence Analysis:
Divergence analysis is a popular technique among traders, and the Composite Momentum Indicator strengthens this analysis further. By comparing the RSI and Williams %R within the composite calculation, traders can identify divergences between the two indicators more easily. Divergence between the RSI and Williams %R can signal potential trend reversals or the weakening of an existing trend, providing valuable insights for traders.
5. Customizable Moving Average:
The Composite Momentum Indicator also features a customizable moving average (MA), allowing traders to further fine-tune their analysis. By incorporating the MA, traders can smooth out the composite momentum line and identify longer-term trends. This additional layer of customization enhances the versatility of the indicator, catering to various trading styles and timeframes.
The Composite Momentum Indicator, developed using the popular TradingView indicators RSI and Williams %R, offers a powerful tool for comprehensive momentum analysis. By combining the strengths of both indicators, traders can gain deeper insights into market conditions, improve accuracy, enhance timing for reversals, and leverage divergence analysis. With the added customization of the moving average, the Composite Momentum Indicator provides traders with a versatile and effective tool to make more informed trading decisions. Indicateur
Indicateur
End-pointed SSA of Williams %R [Loxx]End-pointed SSA of Williams %R is an indicator that runes Williams %R SSA calculation through a Singular Spectrum Analysis (SSA) algorithm to derive a smoother final output. The reduction in noise from the traditional Williams %R is significant.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is Singular Spectrum Analysis ( SSA )?
Singular spectrum analysis ( SSA ) is a technique of time series analysis and forecasting. It combines elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems and signal processing. SSA aims at decomposing the original series into a sum of a small number of interpretable components such as a slowly varying trend, oscillatory components and a ‘structureless’ noise. It is based on the singular value decomposition ( SVD ) of a specific matrix constructed upon the time series. Neither a parametric model nor stationarity-type conditions have to be assumed for the time series. This makes SSA a model-free method and hence enables SSA to have a very wide range of applicability.
For our purposes here, we are only concerned with the "Caterpillar" SSA . This methodology was developed in the former Soviet Union independently (the ‘iron curtain effect’) of the mainstream SSA . The main difference between the main-stream SSA and the "Caterpillar" SSA is not in the algorithmic details but rather in the assumptions and in the emphasis in the study of SSA properties. To apply the mainstream SSA , one often needs to assume some kind of stationarity of the time series and think in terms of the "signal plus noise" model (where the noise is often assumed to be ‘red’). In the "Caterpillar" SSA , the main methodological stress is on separability (of one component of the series from another one) and neither the assumption of stationarity nor the model in the form "signal plus noise" are required.
"Caterpillar" SSA
The basic "Caterpillar" SSA algorithm for analyzing one-dimensional time series consists of:
Transformation of the one-dimensional time series to the trajectory matrix by means of a delay procedure (this gives the name to the whole technique);
Singular Value Decomposition of the trajectory matrix;
Reconstruction of the original time series based on a number of selected eigenvectors.
This decomposition initializes forecasting procedures for both the original time series and its components. The method can be naturally extended to multidimensional time series and to image processing.
The method is a powerful and useful tool of time series analysis in meteorology, hydrology, geophysics, climatology and, according to our experience, in economics, biology, physics, medicine and other sciences; that is, where short and long, one-dimensional and multidimensional, stationary and non-stationary, almost deterministic and noisy time series are to be analyzed.
Included:
Bar coloring
[*Alerts
[*Signals
[*Loxx's Expanded Source Types
Related Williams %R Indicators
Williams %R on Chart w/ Dynamic Zones
Williams %R w/ Bollinger Bands
Intermediate Williams %R w/ Discontinued Signal Lines
Related SSA Indicators
End-pointed SSA of FDASMA
End-pointed SSA of Normalized Price Oscillator
Indicateur
Rsi/W%R/Stoch/Mfi: HTF overlay mini-plotsOverlay mini-plots for various indicators. Shows current timeframe; and option to plot 2x higher timeframes (i.e. 15min and 60min on the 5min chart above).
The idea is to de-clutter chart when you just want real-time snippets for an indicator.
Useful for gauging overbought/oversold, across timeframes, at a glance.
~~Indicators~~
~RSI: Relative strength index
~W%R: Williams percent range
~Stochastic
~MFI: Money flow index
~~Inputs~~
~indicator length (NB default is set to 12, NOT the standard 14)
~choose 2x HTFs, show/hide HTF plots
~choose number of bars to show (current timeframe only; HTF plots show only 6 bars)
~horizontal position: offset (bars); shift plots right or left. Can be negative
~vertical position: top/middle/bottom
~other formatting options (color, line thickness, show/hide labels, 70/30 lines, 80/20 lines)
~~tips~~
~should be relatively easy to add further indicators, so long as they are 0-100 based; by editing lines 9 and 11
~change the vertical compression of the plots by playing around with the numbers (+100, -400, etc) in lines 24 and 25
Indicateur
Indicateur
CFB-Adaptive, Williams %R w/ Dynamic Zones [Loxx]CFB-Adaptive, Williams %R w/ Dynamic Zones is a Jurik-Composite-Fractal-Behavior-Adaptive Williams % Range indicator with Dynamic Zones. These additions to the WPR calculation reduce noise and return a signal that is more viable than WPR alone.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is Composite Fractal Behavior ( CFB )?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included:
Bar coloring
3 signal variations w/ alerts
Divergences w/ alerts
Loxx's Expanded Source Types
Indicateur
Williams %R on Chart w/ Dynamic Zones [Loxx]Williams %R on Chart w/ Dynamic Zones is a Williams %R indicator but instead of being an oscillator it appears on chart. The WPR calculation used here leverages T3 moving average for its calculation. In addition, the WPR is bound by Dynamic Zones.
What is Williams %R?
Williams %R , also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
What is T3 moving average?
Developed by Tim Tillson, the T3 Moving Average is considered superior to traditional moving averages as it is smoother, more responsive and thus performs better in ranging market conditions as well.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Bar coloring
Channels fill
Loxx's Expanded Source Types
35+ moving average types
Indicateur
Indicateur
