PrismNorm (Anchored)# PrismNorm (Anchored)
Overview
PrismNorm plots anchored, span-normalized price averages (VWAP, TWAP, TrueWAP) alongside a half-price line, with all series scaled by a blended volatility measure. This frames price swings across anchor periods of varying lengths in units of recent volatility.
How It Works
On each new anchor span (session, week, month, etc.), the script:
• Resets an anchor line to the first bar’s open.
• Computes raw VWAP, TWAP, TrueWAP and a half-price delta (close–anchor)/2 cumulatively over the span.
• Calculates a deviation metric (Std Dev, MAD, ATR-scaled, or Percent of anchor price) for the current span.
• Blends the current span’s deviation with up to N prior spans (for non-Percent modes).
• Divides each net price series by the blended deviation to yield normalized outputs.
Inputs
Settings / Description
• Anchor Period / Span for resetting the anchor line (Week, Month, etc.)
• Deviation Measure / Volatility method for normalization: Std Dev, MAD, ATR (scaled), or Percent
• Normalization Interval / Number of past spans (current+1 … current+10) to include in blended deviation
• Percent Deviation (%) / Band width % when Percent mode is selected (applied to anchor price)
• Scale MAD to σ / Scale MAD by √(π/2) so it aligns with σ under Normal distribution
Display
• Show Normalized VWAP
• Show Normalized TWAP
• Show Normalized TrueWAP
• Show Normalized Price (½×)
Tips & Use Cases
• Use shorter anchor spans (Session, Week) for intraday normalization.
• Use longer spans (Quarter, Year) to compare price action across macro periods.
References:
1. TrueWAP Description
2. SD, MAD, ATR (scaled) Deviation Measure Methodology
## 1. TrueWAP: Volatility-Weighted Price Averaging
What Is TrueWAP?
TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange—so when the market moves more, that bar counts more.
In short, it’s a *TrueRange-weighted TrueMid average* anchored at your start date.
TrueWAP (Anchored) Overview
• On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting.
• From the next bar onward, it computes TrueMid (TrueRange midpoint).
• Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point.
Pseudocode
// TWAP Example for Comparison
current_days = BarsSince("start_of_period")
OHLC = (Open + High + Low + Close) / 4
TWAP = MA(OHLC, current_days)
// VWAP Example for Comparison
current_days = BarsSince("start_of_period")
HLC3 = (High + Low + Close) / 3
VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days)
// TrueWAP (Anchored)
current_days = BarsSince("start_of_period") // Count of bars since the period began
first_bar = (current_days == 0) // Boolean flag if current bar is 1st of period
hilo_mid = (High + Low) / 2
max_val = max(Close , High)
min_val = min(Close , Low)
true_mid = (max_val + min_val) / 2
// Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range
mid_val = IF(first_bar, hilo_mid, true_mid)
range_val = IF(first_bar, (High - Low), TrueRange)
TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days)
Recap: Interpretation
• The first bar uses the simple high-low midpoint and range.
• Subsequent bars use TrueMid and TrueRange based on prior close.
• This ensures the average reflects only the observed volatility and price since the anchor.
A Note on True Range
TrueRange captures the full extent of bar-to-bar volatility as the maximum of:
• High – Low
• |High – Previous Close|
• |Low – Previous Close|
## 2. SD, MAD, ATR (scaled) Deviation Measure Methodology: Segmented Weighted-Average Volatility
### Introduction
Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter.
This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability.
Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled).
### 2.1 Standard Deviation (Rolling Window)
pseudocode
// -- STANDARD DEVIATION (ROLLING) Calculation --
window_size = 20
rolling_SD = STDDEV(Close, window_size)
• Ideal for immediate trading insights.
• Reflects pure, short-term price dynamics.
• Captures volatility using the most recent 20 bars.
### 2.2 Blended SD: Current + 3 Past Periods
This method fuses current month data with the last three complete months.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
prev2_days = TradingDaysTwoMonthsAgo
prev2_SD = STDDEV_TwoMonthsAgo(Close)
prev3_days = TradingDaysThreeMonthsAgo
prev3_SD = STDDEV_ThreeMonthsAgo(Close)
// Blending with Proportional Weights
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days +
prev2_SD * prev2_days +
prev3_SD * prev3_days) /
(current_days + prev1_days + prev2_days + prev3_days)
• Merges evolving volatility with the stability of three prior months.
• Weights each period by its trading days.
• Yields a robust normalization benchmark.
### 2.3 Blended SD: Current + 1 Past Period
This variant tempers emerging volatility by blending the current month with last month only.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
// Proportional Blend
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days) /
(current_days + prev1_days)
• Anchors current volatility to last month’s baseline.
• Softens spikes by blending with historical data.
Conclusion
Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with historical context. This fixed-point approach—applicable to SD, MAD, and ATR (scaled)—delivers time-sensitive analysis.
Volatilità
Master Trend Navigator/趋势大师导航仪[4H] by mrlazycat趋势大师导航仪使用说明
⚠ 非常重要，使用指标前请认真阅读这个使用说明
指标核心功能 本指标通过分析比特币的成交量、动能指标（MACD）、相对强弱指数（RSI）、趋势强度和成交量比率，生成在-1到1之间波动的趋势大师导航仪，帮助判断买卖时机。指标最佳适用场为4小时（4H）图表，适合1-2周的中短期交易。该趋势大师导航仪适用于 BTC,ETH, DOGE 等现货成交量大的虚拟货币
趋势曲线解读指南
① 市场状态（曲线颜色）
暗紫色：区间震荡市场 浅红色：弱多头趋势 深红色：强多头趋势 浅绿色：弱空头趋势 深绿色：强空头趋势
② 关键信号区域
红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险
绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会
③ 锁定机制
在强多头趋势（深红色）和深绿色（强空头趋势）和部分弱趋势期间：
如果趋势曲线突破红色区域（超买）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在0.7附近（原始曲线以灰色继续）。
如果趋势曲线跌破绿色区域（超卖）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在-0.7附近（原始曲线以灰色继续）。 这表示趋势可能继续发展，建议等待锁定期结束后再进行操作。
✅ 极端多头趋势的特殊案例：（如ETH在2025年7月10日到20日，趋势曲线一直维持红色，意味着多头趋势不变。但这段时间ETH的趋势曲线曾跌到超卖区，因此曲线曾在底部锁定3个K线的时间，这意味着是多头右侧追多的机会。）
交易信号
① 超买超卖信号
红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险
绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会
② 成交量爆发信号
顶部红色圆圈：代表成交量比率的爆发期，可能在当前或未来1-6根K线内出现阶段性高点。
底部黄色圆圈：代表成交量比率的潜在底部机会，可能在当前或未来1-6根K线内出现阶段性低点。
✅ 注意连续大量的顶部红色圆圈和底部黄色圆圈的出现，这意味着极端行情的出现。
③ 背离信号
顶背离（卖出信号）：红色倒三角图标（标记为Bearish divergence\Sell）出现在趋势曲线顶部，当价格创新高但趋势曲线未创新高时触发，预示大幅回调风险。
底背离（买入信号）：绿色正三角图标（标记为Bullish divergence\Buy）出现在趋势曲线底部，当价格创新低但趋势曲线未创新低时触发，预示底部反弹机会。
使用注意事项
① 交易所推荐：同时使用币安(Binance)和OKX的BTC/USDT现货数据（不同交易所的量能差异可能影响信号准确性）。
② 特殊行情优化：已针对2024-2025年比特币ETF上市后的低波动行情调整参数，未来将持续根据市场变化优化。
③ 强趋势操作提示：当趋势曲线锁定在超买或超卖区，应减少逆势操作。
④ 首次使用建议：观察历史行情以验证信号特征，震荡市捕捉反转点，趋势市识别延续信号。
最简单操作要诀
✅ 底部抄底组合：强空头趋势转弱空头 + 绿色超卖区 + 底背离绿色三角 + 底部黄色成交量圈
✅ 顶部逃顶组合：强多头趋势转弱多头趋势转换 + 红色超买区 + 顶背离红色三角 + 顶部红色成交量圈
✅ 趋势延续信号：趋势曲线锁定在 ±0.7 时，耐心等待锁定解除
推特联系：Jeffmo0769
Trend Master Navigator User Guide
⚠ Important: Please read this guide carefully before using the indicator
Core Functionality
This indicator analyzes Bitcoin's trading volume, MACD, RSI, trend strength, and volume ratio to generate the Trend Master Navigator, which oscillates between -1 and 1 to assist in buy/sell decisions. The indicator is best suited for 4-hour (4H) charts and is ideal for 1-2 week swing trading.The Trend Master Navigator is suitable for cryptocurrencies with high spot trading volumes, such as BTC ， ETH , and DOGE .
Interpreting the Trend Curve
① Market States (Curve Colors)
Dark Purple: Range-bound market
Light Red: Weak bullish trend
Deep Red: Strong bullish trend
Light Green: Weak bearish trend
Deep Green: Strong bearish trend
② Key Signal Zones
Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk
Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity
③ Locking Mechanism
During strong bullish trends (deep red) and strong bearish trends (deep green), and partial weak trends:
If the trend curve breaks above the red zone (overbought) and market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near 0.7 (original curve continues in gray).
If the trend curve breaks below the green zone (oversold) and market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near -0.7 (original curve continues in gray).
This indicates that the trend may continue, and it is advisable to wait until the lock period ends before taking action.
✅ In the context of extreme bullish trends (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend), even though ETH's trend curve once dipped into the oversold zone, causing the curve to lock at the bottom for 3 K-line periods, this signifies a right-side buying opportunity during the bullish trend.
Trading Signals
① Overbought/Oversold Signals
Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk
Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity
② Volume Explosion Signals
Top Red Circle: Represents a volume ratio explosion period, possibly indicating a phase peak within the current or next 1-6 bars.
Bottom Yellow Circle: Represents a potential bottom opportunity in volume ratio, possibly indicating a phase trough within the current or next 1-6 bars.
✅ Pay attention to the continuous appearance of top red circles and bottom yellow circles, as this signals the emergence of extreme market conditions.
③ Divergence Signals
Bearish Divergence (Sell): Red inverted triangle icon (marked as Bearish divergence\Sell) appears at the trend curve top when the price makes a new high, but the trend curve does not; this indicates a significant pullback risk.
Bullish Divergence (Buy): Green upright triangle icon (marked as Bullish divergence\Buy) appears at the trend curve bottom when the price makes a new low, but the trend curve does not; this indicates a potential bottom rebound opportunity.
Other Usage Notes
① Exchange Recommendation: Use Binance and OKX BTC/USDT spot data simultaneously (volume discrepancies across different exchanges may affect signal accuracy).
② Special Market Optimization: Parameters have been adjusted for the low-volatility era following the Bitcoin ETF launch (2024-2025) and will continue to be optimized based on market changes.
③ Strong Trend Operation Tips: When the trend curve is locked in overbought or oversold zones, reduce counter-trend operations.
④ First Use Recommendation: Observe historical market trends to validate signal characteristics. Capture reversal points in range-bound markets and identify continuation signals in trending markets.
Simplest Trading Tactics
✅ Bottom Picking Setup: Transition from strong bearish trend to weak bearish + Green oversold zone + Bullish divergence green triangle + Bottom yellow volume circle
✅ Top Selling Setup: Transition from strong bullish trend to weak bullish trend + Red overbought zone + Bearish divergence red triangle + Top red volume circle
✅ Trend Continuation Signal: Trend curve locked at ±0.7 → Wait patiently for lock release
Contact on X: Jeffmo0769
Price Exhaustion Envelope [BackQuant]Price Exhaustion Envelope
Visual preview of the bands:
What it is
The Price Exhaustion Envelope (PEE) is a multi‑factor overextension detector wrapped inside a dynamic envelope framework. It measures how “tired” a move is by blending price stretch, volume surges, momentum and acceleration, plus optional RSI divergence. The result is a composite exhaustion score that drives both on‑chart signals and the adaptive width of three optional envelope bands around a smoothed baseline. When the score spikes above or below your chosen threshold, the script can flag exhaustion, paint candles, tint the background and fire alerts.
How it works under the hood
Exhaustion score
Price component: distance of close from its mean in standard deviation units.
Volume component: normalized volume pressure that highlights unusual participation.
Momentum component: rate of change and acceleration of price, scaled by their own volatility.
RSI divergence (optional): bullish and bearish divergences gently push the score lower or higher.
Mode control: choose Price, Volume, Momentum or Composite. Composite averages the main pieces for a balanced view.
Energy scale (0 to 100)
The composite score is pushed through a logistic transform to create an “energy” value. High energy (above 70 to 80) signals a move that may be running hot, while very low energy (below 20 to 30) points to exhaustion on the downside.
Envelope engine
Baseline: EMA of price over the main lookback length.
Width: base width is standard deviation times a multiplier.
Type selector:
• Static keeps the width fixed.
• Dynamic expands width in proportion to the absolute exhaustion score.
• Adaptive links width to the energy reading so bands breathe with market “heat.”
Smoothing: a short EMA on the width reduces jitter and keeps bands pleasant to trade around.
Band architecture
You can toggle up to three symmetric bands on each side of the baseline. They default to 1.0, 1.6 and 2.2 multiples of the smoothed width. Soft transparent fills create a layered thermograph of extension. The outermost band often maps to true blow‑off extremes.
On‑chart elements
Baseline line that flips color in real time depending on where price sits.
Up to three upper and lower bands with progressive opacity.
Triangle markers at fresh exhaustion triggers.
Tiny warning glyphs at extreme upper or lower breaches.
Optional bar coloring to visually tag exhausted candles.
Background halo when energy > 80 or < 20 for instant context.
A compact info table showing State, Score, Energy, Momentum score and where price sits inside the envelope (percent).
How to use it in trading
Mean reversion plays
When price pierces the outer band and an exhaustion marker prints, look for reversal candles or lower‑timeframe confirmation to fade the move back toward the baseline.
For conservative entries, wait for the composite score to roll back under the threshold or for energy to drop from extreme to neutral.
Set stops just beyond the extreme levels (use extreme_upper and extreme_lower as natural invalidation points). Targets can be the baseline or the opposite inner band.
Trend continuation with smart pullbacks
In strong trends, the first tag of Band 1 or Band 2 against the dominant direction often offers low‑risk continuation entries. Use energy readings: if energy is low on a pullback during an uptrend, a bounce is more likely.
Combine with RSI divergence: hidden bullish divergence near a lower band in an uptrend can be a powerful confirmation.
Breakout filtering
A breakout that occurs while the composite score is still moderate (not exhausted) has a higher chance of follow‑through. Skip signals when energy is already above 80 and price is punching the outer band, as the move may be late.
Watch env_position (Envelope %) in the table. Breakouts near 40 to 60 percent of the envelope are “healthy,” while those at 95 percent are stretched.
Scaling out and risk control
Use exhaustion alerts to trim positions into strength or weakness.
Trail stops just outside Band 2 or Band 3 to stay in trends while letting the envelope expand in volatile phases.
Multi‑timeframe confluence
Run the script on a higher timeframe to locate exhaustion context, then drill down to a lower timeframe for entries.
Opposite signals across timeframes (daily exhaustion vs. 5‑minute breakout) warn you to reduce size or tighten management.
Key inputs to experiment with
Lookback Period: larger values smooth the score and envelope, ideal for swing trading. Shorter values make it reactive for scalps.
Exhaustion Threshold: raise above 2.0 in choppy assets to cut noise, drop to 1.5 for smooth FX pairs.
Envelope Type: Dynamic is great for crypto spikes, Adaptive shines in stocks where volume and volatility wave together.
RSI Divergence: turn off if you prefer a pure price/volume model or if divergence floods the score in your asset.
Alert set included
Fresh upper exhaustion
Fresh lower exhaustion
Extreme upper breach
Extreme lower breach
RSI bearish divergence
RSI bullish divergence
Hook these to TradingView notifications so you get pinged the moment a move hits exhaustion.
Best practices
Always pair exhaustion signals with structure. Support and resistance, liquidity pools and session opens matter.
Avoid blindly shorting every upper signal in a roaring bull market. Let the envelope type help you filter.
Use the table to sanity‑check: a very high score but mid‑range env_position means the band may still be wide enough to absorb more movement.
Backtest threshold combinations on your instrument. Different tickers carry different volatility fingerprints.
Final note
Price Exhaustion Envelope is a flexible framework, not a turnkey system. It excels as a context layer that tells you when the crowd is pressing too hard or when a move still has fuel. Combine it with sound execution tactics, risk limits and market awareness. Trade safe and let the envelope breathe with the market.
Custom NY Opening Bell - Today OnlyThis indicator shows NYC ET opening bell.
It will displace a dashed line on it.
This can be very useful for trades journaling their trades with screenshots.
My indicator will let you know when opening bell happened.
It is also very great when doing backtesting.
Multi Rate of Change (ROC) - 3 LinesMulti Rate of Change (ROC) - 3 Lines
This custom indicator displays three Rate of Change (ROC) lines, each with independently adjustable lookback periods (default: 7, 30, and 100 days). It allows you to quickly compare short-, mid-, and long-term price momentum on the same chart.
All ROC lines show the percent change of the close price compared to N bars ago.
The color, thickness, and style (solid, dotted, dashed) of each ROC line can be customized in the settings.
A zero reference line is included and can also be customized.
Suitable for momentum analysis and identifying trend acceleration or deceleration at multiple timeframes.
Designed for easy use: simply add the indicator to your chart and adjust the settings as needed.
How to use:
Add the indicator to your chart.
Set each ROC period (e.g., 7, 30, 100 days) as desired.
Adjust colors, line widths, and styles for better visibility.
Interpret positive ROC values as upward momentum, negative values as downward momentum.
No repainting. All calculations use close prices only.
If you need more ROC lines or additional features, let me know!
MR.Z Stoch RSI %K Reversal Signals🟢 K Strategy Description
The K Strategy is a momentum-based trading technique using the %K line from the Stochastic Oscillator. It is designed to detect potential reversal points in price trends by identifying extreme conditions of overbought and oversold levels.
✅ Core Logic:
The strategy monitors the %K line (a smoothed form of RSI momentum).
A Buy Signal is triggered when:
The %K line dips to or below a defined lower threshold (commonly 30 or less).
This suggests the asset is oversold and may soon reverse upward.
A Sell Signal is triggered when:
The %K line peaks above an upper threshold (commonly 70 or more).
This suggests the asset is overbought and may reverse downward.
⚙️ Adjustable Parameters:
K Length: The sensitivity of the %K calculation (affects how fast it responds).
Buy Level: Set your oversold trigger (e.g., 20–40).
Sell Level: Set your overbought trigger (e.g., 60–100).
Signal Smoothing (optional): Helps reduce noise and avoid false triggers.
📈 Use Case:
This strategy is effective in ranging markets where prices frequently oscillate. It can also be used with other indicators (like EMA, volume filters, or price action confirmation) to increase accuracy in trending conditions.
Turttle_Dalmata Indicator v10📘 Turttle_Dalmata Indicator – Overview
The Turttle_Dalmata v10 is a proprietary trading indicator engineered for high-precision intraday scalping and trend breakout validation. It combines real-time price action, volume dynamics, and multi-timeframe confluence to generate high-quality entry signals while filtering out noise and chop.
⸻
🧠 What It Does
• Dynamically scores market conditions using a multi-layered confluence engine
• Detects trend-aligned breakout setups, fair value gaps, and volume surges
• Uses a session-anchored VWAP to keep entries near equilibrium
• Implements advanced filtering logic to avoid signals during overextended or sideways conditions
• Includes intelligent signal throttling to prevent back-to-back entries in choppy markets
⸻
🎯 Why It Works
• Filters out low-conviction moves and extended breakouts that often lead to reversals
• Waits for structure-confirmed and volume-backed price breaks
• Avoids false signals by enforcing cooldown windows and signal cycle rotation
⸻
🧠 Core Features
• 🔟 Confluence Scoring System: Combines EMA trend, RSI strength, volume spikes, break of structure, fair value gaps, CVC momentum, and more.
• 🟣 Market Cipher-Style VWAP: Uses a daily session VWAP anchored at 00:00 UTC for equilibrium-based trade filters.
• 🧮 Custom Signal Filtering:
• ✅ VWAP max distance filter – blocks trades too far from VWAP (mean reversion bias)
• ✅ Cooldown system – blocks signals if another signal happened in the last X bars (default: 5)
• ✅ EMA velocity – detects acceleration during breakouts
• 🔁 Signal Lock Logic: Prevents same-side signals from repeating until an opposite signal occurs.
📈 How It Looks
• 🔼 Green triangles for high-probability long entries
• 🔽 Red triangles for high-probability short entries
• Clean visual overlays: session VWAP and EMA for trend tracking
⸻
✅ Optimized For
• 1-minute and 2-minute charts
• Crypto and futures markets
• Traders who value signal quality over quantity
Enhanced Predator Suite🎯 Simple Predator Suite Guide - What You See on Your Chart
📍 What to Look For RIGHT NOW on Your BTC Chart
1. BAR COLORS (Most Important)
Look at the color of each price bar:
🟢 BRIGHT GREEN = BUY SIGNAL (Bull Strong)
🟢 LIGHT GREEN = Weak buy (be careful)
🟠 ORANGE = Weak sell (take profits)
🔴 RED = SELL SIGNAL (Bear Strong)
⚫ GRAY = DON'T TRADE (choppy market)
2. TRIANGLE SIGNALS
These are your entry points:
▲ GREEN TRIANGLE UP = Enter LONG (buy) on next bar
▼ RED TRIANGLE DOWN = Enter SHORT (sell) on next bar
3. TRAILING STOP LINES
🟢 GREEN LINE = Exit your long trades if price hits this
🔴 RED LINE = Exit your short trades if price hits this
🚀 SUPER SIMPLE TRADING METHOD
FOR LONG TRADES (BUYING)
Wait for a green triangle ▲ to appear
Buy on the next candle
Set stop loss below the green line
Take profit when bars turn orange or red
FOR SHORT TRADES (SELLING)
Wait for a red triangle ▼ to appear
Sell on the next candle
Set stop loss above the red line
Take profit when bars turn light green or bright green
WHEN TO STAY OUT
Gray bars = Market is confused, don't trade
No triangles = No clear entry signal
Price far from lines = You missed the move
🚫 COMMON MISTAKES TO AVOID
DON'T Do These Things:
❌ Trade during gray bars (choppy market)
❌ Enter without seeing a triangle signal
❌ Ignore the trailing stop lines
❌ Trade with big position sizes at first
❌ Chase price if you missed the triangle
DO These Instead:
✅ Wait patiently for clear triangle signals
✅ Always use the stop loss lines
✅ Start with tiny position sizes
✅ Take profits when bar colors change
✅ Stay out during gray bar periods
Hawkes Volatility Exit IndicatorOverview
The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto.
Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile).
This indicator is probably better on exits than entries.
Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period.
Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics.
Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits).
Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness.
Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities.
How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves.
Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period.
Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars).
Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table.
Settings
Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive).
Volatility Lookback (168): Sets the period for percentile calculations.
ATR Periods (14): Normalizes volatility using Average True Range.
Breakout Threshold (95%): Volatility percentile for entries.
Exit Threshold (30%): Volatility percentile for exits.
Quiet Threshold (5%): Defines quiet periods.
Minimum Hold Bars (3): Ensures positions are held before exiting.
Alerts: Enable/disable breakout and exit alerts.
How to Use
Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT."
Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES."
Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL).
Combine: Pair with price action, support/resistance, or other indicators for better context.
Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits.
Test on your asset to ensure compatibility (best for markets with volatility clustering).
Use alerts to automate signal detection.
Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table.
Focuses on volatility, not price direction—combine with trend tools.
May lag slightly due to the smoothing nature of the Hawkes process.
Why Use It?
The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision!
This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine.
This conversion published for wider attention to the Hawkes method.
Fibonacci Range Detector ║ BullVision🔬 Overview
The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision.
⚙️ Core Logic
🔍 Range Detection (Auto & Manual Modes)
In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges.
In Manual mode, traders can define their own swing low and high to generate precise custom ranges.
📐 Fibonacci Mapping
Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals.
📋 Live Data Table
An integrated info panel dynamically displays crucial metrics:
• Range size
• Current price zone (Discount / Mid / Premium)
• Position within range (%)
• Distance to range extremes
• Range status (Pending or Confirmed)
🕰️ Historical Memory
Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels.
🎨 Visual Highlights
Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves.
🔧 User Customization
• Detection Method: Choose between ATR or % ZigZag for automated swing identification
• Confirmation Delay: Set how many bars to wait before confirming a new high
• Manual Overrides: Select exact price levels when you want full control
• Extensions & Labels: Toggle additional lines and info to suit your charting style
• Visual Table Position: Customize where the data table appears on screen
• Color Scheme: Define your own zone gradients for better visual interpretation
📈 Use Cases
This indicator is ideal for traders who want to:
• Identify value zones within local or macro price structures
• Plan trades around Fibonacci retracement and extension levels
• Detect shifts in market structure using an adaptive ZigZag logic
• Track recurring price ranges and historical reaction points
• Enhance technical confluence with clean, visual price mapping
⚠️ Important Notes
This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis.
Use it in conjunction with your existing strategy and risk management process.
Always confirm with broader context and multi-timeframe alignment.
IV PercentileIV Percentile Indicator - Brief Description
What It Does
The IV Percentile Indicator measures where current implied volatility ranks compared to the past year, showing what percentage of time volatility was lower than today's level.
How It Works
Data Collection:
Tracks implied volatility (or historical volatility as proxy) for each trading day
Stores the last 252 days (1 year) of volatility readings
Uses VIX data for SPY/SPX, historical volatility for other stocks
Calculation:
IV Percentile = (Days with IV below current level) ÷ (Total days) × 100
Example: If IV Percentile = 75%, it means current volatility is higher than 75% of the past year's readings.
Visual Output
Main Display:
Blue line showing percentile (0-100%)
Reference lines at key levels (20%, 30%, 50%, 70%, 80%)
Color-coded backgrounds for quick identification
Info table with current readings
Key Levels:
80%+ (Red): Very high IV → Sell premium
70-79% (Orange): High IV → Consider selling
30-20% (Green): Low IV → Consider buying
<20% (Bright Green): Very low IV → Buy premium
Trading Application
When IV Percentile is HIGH (70%+):
Options are expensive relative to recent history
Good time to sell premium (iron condors, credit spreads)
Expect volatility to decrease toward normal levels
When IV Percentile is LOW (30%-):
Options are cheap relative to recent history
Good time to buy premium (straddles, long options)
Expect volatility to increase from compressed levels
Core Logic
The indicator helps answer: "Is this a good time to buy or sell options based on how expensive/cheap they are compared to recent history?" It removes the guesswork from volatility timing by providing historical context for current option prices.
PrismWMA (Rolling)# PrismWMA (Rolling)
Overview
PrismWMA computes rolling VWMA, TWMA and TrueWMA over a fixed lookback window, then plots dynamic volatility bands around each. It’s the rolling-window counterpart to PrismWAP’s anchored spans, giving you per-bar, up-to-date average levels and band excursions.
How It Works
Every bar, PrismWMA:
• Calculates VWMA, TWMA and TrueWMA over the last wmaWindowLen bars.
• Computes your chosen volatility measure (Std Dev, MAD, ATR-scaled) or Percent of WMA over volWindowLen bars.
• Draws upper/lower bands as ±mult × volatility (or ±mult % of the WMA in Percent mode).
Inputs
Settings/Default/Description
WMA Lookback (bars)/50/Number of bars for rolling WMA
Volatility Measure/Std Dev/Band width method: Std Dev, MAD, ATR (scaled), or Percent of WMA
Volatility Lookback (bars)/50/Number of bars used to compute rolling volatility
Band Multiplier (or %)/3.0/Multiplier for band width (or percent of WMA in Percent mode)
Scale MAD to σ/true/When MAD is selected, scale by √(π/2) so it aligns with σ
Display
• Show VWMA true
• Show TWMA true
• Show TrueWMA true
• Show VBands false
• Show TBands false
• Show TrueBands true
References:
1. TrueWMA Description
## 1. TrueWMA: Volatility-Weighted Price Averaging
What Is TrueWMA?
TrueWMA weights each bar’s TrueMid (TrueRange midpoint) by its TrueRange, so high-volatility bars carry more influence. It blends price level and volatility into one moving average
Pseudocode
// TWMA Example for Comparison
window_size = 50
OHLC = (Open + High + Low + Close) / 4
TWMA = MA(OHLC, window_size)
// VWMA Example for Comparison
window_size = 50
HLC3 = (High + Low + Close) / 3
VWMA = Sum(HLC3 * Volume, window_size) / Sum(Volume, window_size)
// TrueWMA (Rolling)
window_size = 50
max_val = Maximum(Close , High)
min_val = Minimum(Close , Low)
true_mid = (max_val + min_val) / 2
TrueWMA = Sum(true_mid * TrueRange, window_size) / Sum(TrueRange, window_size)
Interpretation
For each bar, Rolling TrueWMA:
• Computes a TrueMid (“contextual midpoint”) from the prior close and the current bar’s high/low.
• Weights each TrueMid by that bar’s TrueRange.
• Divides the sum of those weighted midpoints by the total TrueRange over the lookback window.
The result is a single series that dynamically blends price levels with recent volatility.
PrismWAP (Anchored)# PrismWAP (Anchored)
Overview
PrismWAP plots three anchored weighted-average prices (VWAP, TWAP, TrueWAP) with dynamic volatility bands and a resettable anchor line. It helps you see key value levels since your chosen anchor period and gauge price excursions relative to volatility.
How It Works
On each new span (session, week, month, quarter, etc.), the indicator resets a base price from the first bar’s open. It computes anchored VWAP, TWAP, and TrueWAP cumulatively over the span. Volatility bands are drawn as ±multiplier × a span-length-weighted average of your chosen volatility measure (Std Dev, MAD, ATR-scaled, or Percent of WAP).
Inputs
Settings/Default/Description
Anchor Period/Quarter/Span for resetting WAP and anchor line (Week, Month, etc.)
Volatility Measure/Std Dev/Method for band width: SD, MAD, ATR (scaled), Percent of WAP
Volatility Spans/current+2/Number of spans (current + previous spans) used in volatility
Band Multiplier(or %)/3.0/Multiplier for band width (or Percent of WAP in Percent mode)
Scale MAD to σ/true/When MAD selected, scale by √(π/2) so it aligns with σ
Display
• Show Anchor Line true
• Show VWAP true
• Show TWAP true
• Show TrueWAP true
• Show VWAP Bands false
• Show TWAP Bands false
• Show TrueWAP Bands true
Tips & Use Cases
• Use shorter spans (Session, Week) for sub-daily bar intervals.
• Use longer spans (Quarter, Year) for daily bar intervals.
References:
1. TrueWAP Description
2. SD, MAD, ATR (scaled) weighted average volatility
## 1. TrueWAP: Volatility-Weighted Price Averaging
What Is TrueWAP?
TrueWAP plugs actual price fluctuations into your average. Instead of only tracking time (TWAP) or volume (VWAP), it weights each bar’s TrueRange midpoint by its TrueRange—so when the market moves more, that bar counts more.
TrueWAP (Anchored) Overview
• On the first bar, it uses the simple high-low midpoint for price and the bar’s high-low range for weighting.
• From the next bar onward, it computes TrueMid by averaging the TrueRange high (higher of prior close or current high) with the TrueRange low (lower of prior close or current low).
• Each TrueMid is weighted by its TrueRange and cumulatively summed from the anchor point.
Pseudocode
// TWAP Example for Comparison
current_days = BarsSince("start_of_period")
OHLC = (Open + High + Low + Close) / 4
TWAP = MA(OHLC, current_days)
// VWAP Example for Comparison
current_days = BarsSince("start_of_period")
HLC3 = (High + Low + Close) / 3
VWAP = Sum(HLC3 * Volume, current_days) / Sum(Volume, current_days)
// TrueWAP (Anchored)
current_days = BarsSince("start_of_period") // Count of bars since the period began
first_bar = (current_days == 0) // Boolean flag that is true if current bar is the first of period
hilo_mid = (High + Low) / 2 // For the first bar, use its simple high/low avg
max_val = max(Close , High) // For subsequent bars, TrueRange high
min_val = min(Close , Low) // For subsequent bars, TrueRange low
true_mid = (max_val + min_val) / 2 // True Range midpoint for subsequent bars
// Use hilo_mid and (High - Low) for the first bar; otherwise, use true_mid and True Range
mid_val = IF(first_bar, hilo_mid, true_mid)
range_val = IF(first_bar, (High - Low), TrueRange)
TrueWAP = Sum(mid_val * range_val, current_days) / Sum(range_val, current_days)
Recap: Interpretation
• The first bar uses the simple high-low midpoint and range.
• Subsequent bars use TrueMid and TrueRange based on prior close.
• This ensures the average reflects only the observed volatility and price since the anchor.
A Note on True Range
TrueRange captures the full extent of bar-to-bar volatility as the maximum of:
• High – Low
• |High – Previous Close|
• |Low – Previous Close|
## 2. Segmented Weighted-Average Volatility: A Fixed-Point Multi-Period Approach
### Introduction
Conventional standard deviation calculations aggregate data over an expanding window and rely on a single mean, producing one summary statistic. This can obscure segmented, sequential datasets—such as MTD, QTD, and YTD—where additional granularity and time-sensitive insights matter.
This methodology isolates standard deviation within defined time frames and then proportionally allocates them based on custom lookback criteria. The result is a dynamic, multi-period normalization benchmark that captures both emerging volatility and historical stability.
Note: While this example uses SD, the same fixed-point approach applies to MAD and ATR (scaled).
### 2.1 Standard Deviation (Rolling Window)
pseudocode
// -- STANDARD DEVIATION (ROLLING) Calculation --
window_size = 20
rolling_SD = STDDEV(Close, window_size)
• Ideal for immediate trading insights.
• Reflects pure, short-term price dynamics.
• Captures volatility using the most recent 20 trading days.
### 2.2 Blended SD: Current + 3 Past Periods
This method fuses current month data with the last three complete months.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with Three Past Periods --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
prev2_days = TradingDaysTwoMonthsAgo
prev2_SD = STDDEV_TwoMonthsAgo(Close)
prev3_days = TradingDaysThreeMonthsAgo
prev3_SD = STDDEV_ThreeMonthsAgo(Close)
// Blending with Proportional Weights
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days +
prev2_SD * prev2_days +
prev3_SD * prev3_days) /
(current_days + prev1_days + prev2_days + prev3_days)
• Merges evolving volatility with the stability of three prior months.
• Weights each period by its trading days.
• Yields a robust normalization benchmark.
### 2.3 Blended SD: Current + 1 Past Period
This variant tempers emerging volatility by blending the current month with last month only.
pseudocode
// -- MULTI-PERIOD STANDARD DEVIATION (PROXY) with One Past Period --
current_days = BarsSince("start_of_month")
current_SD = STDDEV(Close, current_days)
prev1_days = TradingDaysLastMonth
prev1_SD = STDDEV_LastMonth(Close)
// Proportional Blend
Weighted_SD = (current_SD * current_days +
prev1_SD * prev1_days) /
(current_days + prev1_days)
• Anchors current volatility to last month’s baseline.
• Softens spikes by blending with historical data.
Conclusion
Segmented weighted-average volatility transforms global benchmarking by integrating immediate market dynamics with enduring historical context. This fixed-point approach—applicable to SD, MAD (scaled), and ATR (scaled)—delivers time-sensitive analysis.
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals.
Strategy:
Entries (Buy/Short): Entry signals are based on the RSI.
A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal.
A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal.
Exits (Position Closure): Exit signals are based on Bollinger Bands.
A long position is closed when the price crosses below the upper Bollinger Band.
A short position is closed when the price crosses above the lower Bollinger Band.
Key Features:
Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality.
Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks.
Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
Nexus v10Nexus v10 - Confluence-Driven Trading Indicator
The Nexus v10 is a sleek, modern, and versatile trading indicator that delivers precise buy and sell signals by synthesizing a confluence of technical factors, including Heikin Ashi candles, RSI, ADX, and EMA crossovers. The name "Nexus" captures its core strength—connecting and synthesizing multiple signals into a cohesive trading decision point. The term evokes a central hub or convergence, reflecting the script’s confluence-based approach, dynamic adaptability, and real-time precision for scalping. Designed for traders seeking clarity and efficiency, it’s a powerful tool for navigating dynamic markets.
Key Features:
Confluence-Based Signals: Combines weighted signals from Heikin Ashi, RSI, ADX, and EMA crossovers to generate high-probability buy/sell signals.
Neutral Status Logic: Limits consecutive signals to two per direction, requiring a "Neutral" status before the second signal to ensure disciplined trading.
Clean Visualization: Displays only the two most recent buy/sell signals, keeping the chart uncluttered and focused on current opportunities.
Dynamic Adaptability: Offers customizable RSI thresholds, EMA lengths, MTF settings, and dynamic overbought/oversold levels to fit any market or style.
Candle Coloring & Inside Bars: Highlights overbought/oversold conditions and inside bars with customizable colors for enhanced context.
Real-Time Debug Table: Provides live insights into signal status, RSI, MTF trends, and ADX for informed decision-making.
How It Works:
Nexus v10 integrates multiple technical factors, including MTF analysis (default: 3m, 15m, 240m, D), RSI, ADX, and EMA crossovers, to produce signals when confluence criteria are met. Signals appear as circles on the chart, with a maximum of two visible signals per direction (buy or sell). A second signal in the same direction requires a neutral status, ensuring precision. Ideal for scalping, swing, and trend trading across stocks, forex, futures, and more.
Usage Tips:
Customize settings like RSI thresholds and MTF periods to align with your trading strategy.
Use the debug table to monitor confluence factors and signal status in real-time.
Pair with sound risk management and personal analysis for optimal results.
Note:
Always backtest thoroughly in your trading environment to validate performance. Let the Nexus v10 guide your next trade with precision and clarity!
Nexus v10Nexus v10 - Confluence-Driven Trading Indicator
The Nexus v10 is a sleek, modern, and versatile trading indicator that delivers precise buy and sell signals by synthesizing a confluence of technical factors, including Heikin Ashi candles, RSI, ADX, and EMA crossovers. The name "Nexus" captures its core strength—connecting and synthesizing multiple signals into a cohesive trading decision point. The term evokes a central hub or convergence, reflecting the script’s confluence-based approach, dynamic adaptability, and real-time precision for scalping. Designed for traders seeking clarity and efficiency, it’s a powerful tool for navigating dynamic markets.
Key Features:
Confluence-Based Signals: Combines weighted signals from Heikin Ashi, RSI, ADX, and EMA crossovers to generate high-probability buy/sell signals.
Neutral Status Logic: Limits consecutive signals to two per direction, requiring a "Neutral" status before the second signal to ensure disciplined trading.
Clean Visualization: Displays only the two most recent buy/sell signals, keeping the chart uncluttered and focused on current opportunities.
Dynamic Adaptability: Offers customizable RSI thresholds, EMA lengths, MTF settings, and dynamic overbought/oversold levels to fit any market or style.
Candle Coloring & Inside Bars: Highlights overbought/oversold conditions and inside bars with customizable colors for enhanced context.
Real-Time Debug Table: Provides live insights into signal status, RSI, MTF trends, and ADX for informed decision-making.
How It Works:
Nexus v10 integrates multiple technical factors, including MTF analysis (default: 3m, 15m, 240m, D), RSI, ADX, and EMA crossovers, to produce signals when confluence criteria are met. Signals appear as circles on the chart, with a maximum of two visible signals per direction (buy or sell). A second signal in the same direction requires a neutral status, ensuring precision. Ideal for scalping, swing, and trend trading across stocks, forex, futures, and more.
Usage Tips:
Customize settings like RSI thresholds and MTF periods to align with your trading strategy.
Use the debug table to monitor confluence factors and signal status in real-time.
Pair with sound risk management and personal analysis for optimal results.
Note:
Always backtest thoroughly in your trading environment to validate performance. Let the Nexus v10 guide your next trade with precision and clarity!
Clarix Trailing MasterClarix Trailing Master
Advanced Manual Entry Trailing Stop Strategy
Purpose :
Clarix Trailing Master is designed to give traders precise control over trade exits with a customizable trailing stop system. It combines manual entry inputs with dynamic and static trailing stop options, empowering users to protect profits while minimizing premature stop-outs.
How It Works:
You manually input your trade entry price and specify the trade direction (Long or Short).
The strategy activates the trailing stop only after the price moves favorably by a configurable profit threshold. This helps avoid early stop losses during initial market noise.
You can choose between a dynamic trailing stop based on Average True Range (ATR) or a fixed static trailing distance. The ATR can also be computed on a higher timeframe for enhanced stability.
Once active, the trailing stop updates live with price movements, ensuring your gains are locked in progressively.
If the price crosses the trailing stop, a clear alert triggers, and the stop-hit status displays visually on the chart.
Key Features:
Manual entry with exact price and timestamp input for precise trade tracking.
Supports both Long and Short trades.
Choice between dynamic ATR-based trailing or static trailing stops.
Configurable profit threshold before trailing stop activation to avoid early exits.
Visual markers for entry and stop-hit points (yellow and red respectively).
Live dashboard displaying entry details, trade status, trailing mode, and current stop level.
Works on all asset classes and timeframes, adaptable to various trading styles.
Built-in audio alert notifies you immediately when the trailing stop is hit.
Usage Tips:
Adjust the profit threshold and ATR settings based on your asset’s volatility and timeframe. For example, use higher ATR multipliers for more volatile markets like crypto.
Consider using higher timeframe ATR values for smoother trailing stops in fast-moving markets.
Ideal for swing trading or position trading where precise stop management is crucial.
Always backtest and paper trade before applying to live markets.
Reversal Signal avec TICK + RSIThis indicator is a potential reversal indicator for SCALPING, don't use it for swing. It's base on TICK and on an overbrought/oversold condition of the RSI. You can play with the setting, typicaly I like my TICK to be over reacting an 800/-800 and my rsi over 20 and 80, but it give not enough signal. So I set the TICK signal at 651/-651 and the RSI at 25/75. This indicator is made for SP500 and Nasdaq, so SPY/QQQ/SPX/ES/NQ should work well. It's the first version of it, so maybe I'll add so more data to it to increase signal and lower false one. For now I've test it on live market yet(26/7/25).
The RSI is Fast(5 period), I like to use it on the 1 or 5 min chart.
Please not that it only work during 9h30am to 4pm EST.(Because of the TICK)
Feel free to try and even comment. Don't be harsh on me, it's my first try!
(Sorry for my 'english' it's not my first language)
FAUCON
HTF Current/Average RangeThe "HTF(Higher Timeframe) Current/Average Range" indicator calculates and displays the current and average price ranges across multiple timeframes, including daily, weekly, monthly, 4 hour, and user-defined custom timeframes.
Users can customize the lookback period, table size, timeframe, and font color; with the indicator efficiently updating on the final bar to optimize performance.
When the current range surpasses the average range for a given timeframe, the corresponding table cell is highlighted in green, indicating potential maximum price expansion and signaling the possibility of an impending retracement or consolidation.
For day trading strategies, the daily average range can serve as a guide, allowing traders to hold positions until the current daily range approaches or meets the average range, at which point exiting the trade may be considered.
For scalping strategies, the 15min and 5min average range can be utilized to determine optimal holding periods for fast trades.
Other strategies:
Intraday Trading - 1h and 4h Average Range
Swing Trading - Monthly Average Range
Short-term Trading - Weekly Average Range
Also using these statistics in accordance with Power 3 ICT concepts, will assist in holding trades to their statistical average range of the chosen HTF candle.
CODE
The core functionality lies in the data retrieval and table population sections.
The request.security function (e.g., = request.security(syminfo.tickerid, "D", , lookahead = barmerge.lookahead_off)) retrieves high and low prices from specified timeframes without lookahead bias, ensuring accurate historical data.
These values are used to compute current ranges and average ranges (ta.sma(high - low, avgLength)), which are then displayed in a dynamically generated table starting at (if barstate.islast) using table.new, with conditional green highlighting when the current range is greater than average range, providing a clear visual cue for volatility analysis.
FxSika SuperTrend ZoneThe FxSika SuperTrend Zone™ is a dynamic zone-based indicator that enhances the traditional SuperTrend concept by displaying two key structural layers:
Primary Trend Line: The main directional guide, calculated using ATR and a volatility multiplier.
Reaction Band: A secondary buffer area around the trend line, derived from an ATR extension. It helps visualize zones where price is likely to react or pause during pullbacks.
The indicator also includes an optional Long-Term Trend Layer, calculated with higher values for both ATR length and multiplier. This broader trend context can be toggled on or off via the settings.
How it works:
Zones adjust automatically based on trend direction.
Green zones represent bearish conditions (potential buy interest).
Red zones represent bullish conditions (potential sell interest).
Clear lines and shaded areas make key levels easy to spot.
Extra features:
Multiple alert options for zone interactions and trend shifts.
Lightweight, visually clean design for easy chart integration.
Fully adjustable parameters for ATR, multiplier, and zone width.
This indicator helps identify high-probability reaction zones during trending markets, especially when combined with price action or confirmation-based setups.
Morning Straddle Session HighlightFirst draft of this indicator.
This indicator marks the range between midnight and 6am UK time for the morning straddle strategy.
Better used in currency pairs, it will colour code the box based on how big the range is, blue being quite narrow, green the expected neutral range, orange if range is bigger than average and red if there was a big range of movement already overnight.
It will work in other assets, but it may always show a red box.
WT + Stoch RSI Reversal Combo📊MR.Z RSI : WT + Stochastic RSI Reversal Combo
This custom indicator combines WaveTrend oscillator and Stochastic RSI to detect high-confidence market reversal points, filtering signals so they only appear when both indicators align.
🔍 Core Components:
✅ WaveTrend Oscillator
Based on smoothed deviation from EMA (similar to TCI logic)
Plots:
WT1 (main line)
WT2 (signal line = SMA of WT1)
Uses overbought/oversold thresholds (default: ±53) to filter signals
✅ Stochastic RSI
Momentum oscillator based on RSI's stochastic value
Plots:
%K: smoothed Stoch of RSI
%D: smoothed version of %K
Adjustable oversold/overbought thresholds (default: 20/80)
🔁 Combined Reversal Signal Logic:
🔼 Buy Signal
WT1 crosses above WT2 below WT oversold level (e.g., -53)
%K crosses above %D below Stoch RSI oversold level (e.g., 20)
🔽 Sell Signal
WT1 crosses below WT2 above WT overbought level (e.g., 53)
%K crosses below %D above Stoch RSI overbought level (e.g., 80)
🔔 Signals are only plotted and alerted if both conditions are true.
📌 Features:
Toggle on/off:
WaveTrend lines and histogram
Stochastic RSI
Combined Buy/Sell signals
Horizontal reference lines (±100, OB/OS)
Fully customizable smoothing lengths and thresholds
Signal plots:
✅ Green up-triangle = Combo Buy
✅ Red down-triangle = Combo Sell
Optional: Circle/cross markers for WT-only and Stoch-only signals
🔔 Built-in alerts for Buy/Sell signals
📈 Use Cases:
Reversal Trading: Wait for both indicators to confirm momentum shift
Entry Filter: Use in combination with trend indicators (like EMA)
Scalping or Swing: Works on intraday and higher timeframes
RV Indicator This Pine Script defines a custom Relative Volatility (RV) Indicator, which measures the ratio of directional price movement to volatility over a specified number of bars. Below is a full explanation of what this script does.
Title:
RV Indicator — Relative Volatility Oscillator
Purpose:
This indicator measures how aggressively price is moving compared to recent volatility, and smooths the result with a signal line. It can be used to gauge momentum shifts and trend strength.
How It Works – Step by Step
1. Measuring Price Momentum (v1)
It calculates the difference between the close and open prices of the last 4 candles.
A weighted average is applied:
The current candle and the one 3 bars ago get weight 1.
The two middle candles (1 and 2 bars ago) get weight 2.
This creates a smoothed momentum measure:
If close > open (bullish), v1 is positive.
If close < open (bearish), v1 is negative.
2. Measuring Volatility (v2)
Similarly, it calculates the high-low range for the last 4 candles.
The same weighting (1, 2, 2, 1) is applied.
This gives a smoothed volatility measure.
3. Combining Momentum and Volatility (RV Ratio)
For the past ti bars (default: 10), it sums up:
All v1 values (momentum sum)
All v2 values (volatility sum)
Then it divides them:
𝑅𝑉= sum of price momentum % sum of volatility
This produces the RV value:
RV > 0: Momentum is bullish (price is generally moving up relative to its volatility).
RV < 0: Momentum is bearish (price is moving down relative to its volatility).
4. Smoothed Signal Line (rvsig)
A smoothed version of the RV is created using a weighted average of the latest 4 RV values.
This acts like a signal line, similar to how MACD uses a signal line.
Crossovers between RV and this signal line can be used to detect shifts in momentum.
5. Visual Output
Orange Line (RV): Shows the raw momentum/volatility ratio.
Blue Line (Signal): A smoother line that follows RV more slowly.
Zero Line: Divides bullish vs. bearish momentum.
How to Use It in Trading
1. Look for Crossovers:
If RV crosses above its signal line → Possible buy signal (momentum turning bullish).
If RV crosses below its signal line → Possible sell signal (momentum turning bearish).
2. Check the Zero Line:
If both RV and Signal are above zero, momentum is bullish.
If both are below zero, momentum is bearish.
3. Filter False Signals:
Combine RV with a trend filter (like a 50 or 200 EMA) to avoid trading against the main trend.
Disclaimer: This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions are solely your responsibility. Use at your own risk.
