QUANTUM MARKET ANALYZER X7QUANTUM MARKET ANALYZER X7 — Study Material (Learning & Teaching Guide)
What this tool is (and isn’t)
QUANTUM MARKET ANALYZER X7 is a multi-factor TradingView indicator that summarizes many classic signals into one dashboard. It does not predict the future or guarantee profits. It simply scores what is happening now using oscillators, moving averages, order-block behavior, trendline/channel context, Supertrend bias, and volume/flow clues—so you can make structured, risk-aware decisions.
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Quick start (for brand-new traders)
1. Add the indicator to a chart.
2. Pick an Analysis Timeframe (e.g., 60-min for day trading, 4-hour for swing).
3. Read the Summary tile first; then check Oscillators → MAs → OB/Trendline/Supertrend → Volume.
4. Take trades only when multiple sections agree, and always plan stop loss and size before entry.
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How the dashboard is built (section by section)
Below you’ll learn what each section measures, how the numbers are produced, and how to interpret them. The script converts each sub-signal into a small integer (e.g., +2, +1, 0, −1, −2). These are summed into section totals and then into a Summary score.
1) Summary (the combined score)
• What it is: The grand total of all sections (Oscillators + Moving Averages + Advanced: OB, Trendline/Channel, Supertrend, Volume).
• How it’s labeled:
o Large positive total → BUY / STRONG BUY
o Around zero → NEUTRAL
o Large negative total → SELL / STRONG SELL
• How to use: Treat it as a headline, not a trigger. Confirm with the sections below and price action.
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2) Oscillators (momentum / overbought–oversold)
Inputs used on your chosen timeframe:
• RSI(14):
o 70 → bearish pressure (−)
o <30 → bullish pressure (+)
• Stochastic (14):
o 80 overbought (−), <20 oversold (+)
• CCI(20):
o +100 (−), <−100 (+)
• Williams %R(14):
o −20 overbought (−), <−80 oversold (+)
• MACD(12,26,9):
o MACD line > Signal → (+), below → (−)
• Momentum(10): >0 → (+), <0 → (−)
• ROC(9): >+2% → (+), <−2% → (−)
• Bollinger Bands(20,2):
o Price > Upper band → (−), < Lower band → (+)
How it scores: Each item contributes between −2 and +2 (or −1/+1 for some). The Oscillator total is their sum.
How to use: Oscillators excel for timing. Favor longs when the total is clearly positive and exiting or avoiding when clearly negative.
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3) Moving Averages (trend/structure)
MAs used: SMA(10/20/50/100/200) and EMA(10/20/50).
Scoring logic: Compares price vs each MA:
• Price > MA by >2% → +2 (strongly bullish)
• Price > MA by 0–2% → +1
• Price < MA by 0–2% → −1
• Price < MA by >2% → −2
How to use: A clearly positive MA total suggests trend alignment for longs; clearly negative favors shorts or flat. Mixed readings → treat as range/transition.
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4) Order-Block (OB) breakout analysis (support/resistance from clustered reactions)
What it approximates: The script searches a lookback window for pivot-like candles and counts repeated “touches” near that level (within ±0.2%) to infer support (bullish OB) or resistance (bearish OB).
Settings you can tune
• OB Lookback Period: how far back to search.
• Min OB Touches: more touches = stronger level.
Signals produced
• BULLISH BRK: Price crosses above the most recent bearish OB (resistance → breakout).
• BEARISH BRK: Price crosses below the most recent bullish OB (support → breakdown).
• ABOVE SUP / BELOW RES: Price position relative to the latest OB levels.
How to use: Use OB with MAs and Volume. Best when a breakout comes with trend alignment and volume expansion.
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5) Trendline / Channel analysis (context envelope)
Rather than a single diagonal line, this module forms a dynamic channel:
• Finds highest high and lowest low over your Trendline Lookback.
• Builds a midline = (highest + lowest)/2.
• Creates an upper/lower channel by multiplying the range with Channel Width Multiplier.
Signals produced
• UPPER BRK: Price > upper channel (bullish expansion)
• LOWER BRK: Price < lower channel (bearish expansion)
• ABOVE MID / BELOW MID: Bias zone inside channel
How to use: Treat UPPER/LOWER breaks as momentum context. Confirm with MAs and Volume before acting.
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6) Supertrend (ATR-based bias)
• Uses ta.supertrend(ATR Multiplier, ATR Period) on your analysis timeframe.
• Signal:
o BULLISH when Supertrend flips to trend-up state
o BEARISH when it flips to trend-down
Tuning tips:
• Higher ATR Multiplier (e.g., 6) → fewer, higher-quality flips.
• Lower multiplier → more responsive, more noise.
How to use: Use Supertrend as a trend filter. Avoid fighting it unless higher-timeframe context disagrees and you have strong confluence.
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7) Volume/Flow analysis (participation & pressure)
This section combines several volume-based tools:
1. Volume Spike vs MA
o Volume MA Period (default 20)
o Volume Spike Threshold (e.g., 1.5×)
o If current volume / MA > threshold → spike.
2. OBV vs OBV-MA → Accumulation (+) / Distribution (−)
3. VPT vs VPT-MA → Price-volume trend alignment (+/−)
4. MFI(14): >70 (−), <30 (+)
5. Accumulation/Distribution vs its MA → (+/−)
Scoring:
• Big spike with up bar → +2; with down bar → −2
• Each of OBV, VPT, MFI, A/D adds +1 or −1
Interpretation labels:
• HIGH ACC / ACCUM → constructive flow
• HIGH DIST / DISTRIB → selling pressure
• NEUTRAL → no edge
How to use: Favor setups where directional signals + trend + volume point the same way.
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Putting it together — a repeatable reading order
1. Summary: What’s the combined bias?
2. Oscillators: Is momentum supportive or stretched?
3. MAs: Is price aligned with the trend structure?
4. OB & Trendline/Channel: Are we breaking key levels/zones?
5. Supertrend: Is the higher-level bias with you or against you?
6. Volume: Is there participation to confirm the move?
Only act when at least 3–4 sections agree and you can define a logical stop and position size.
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Parameter tuning (step-by-step)
1. Choose timeframe:
o 15–60m for active trading; 4h–1D for swing.
2. Oscillators:
o Keep defaults first; later tighten or loosen thresholds only if you’ve tested.
3. Moving Averages:
o The script’s built-in 0–2% bands around each MA are sensible.
o If your market is very volatile, you can consider widening the 2% threshold to reduce whipsaws (requires code edit).
4. Order Blocks:
o Start with OB Lookback ~50 and Min Touches = 2.
o Increase touches for fewer, stronger zones.
5. Trendline/Channel:
o Longer Trendline Lookback and smaller Channel Width → tighter channel (more breaks).
o Shorter lookback and larger width → fewer breaks.
6. Supertrend:
o If you get too many flips, raise ATR Multiplier.
o If it’s lagging, lower it slightly.
7. Volume:
o For quieter instruments, reduce the Threshold (e.g., 1.2×).
o For very liquid/active markets, 1.5–2.0× works well.
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Example playbooks (for practice)
A) Pro-trend long continuation
• Summary: BUY or STRONG BUY
• MAs: clearly positive
• Supertrend: BULLISH
• OB/Trendline: ABOVE MID or UPPER BRK
• Volume: ACCUM or HIGH ACC
Plan: Enter on a minor pullback; stop below recent structure; scale out at logical resistance.
B) Mean-reversion short (cautious)
• Oscillators: multiple overbought readings (RSI>70, price > BB upper)
• MAs: still positive (trend up), so this is countertrend
• Volume: no spike
Plan: If you must, take smaller size, tighter stop, faster targets. Prefer waiting for alignment instead.
C) Breakout with confirmation
• OB: BULLISH BRK of a known resistance
• Trendline/Channel: UPPER BRK
• Volume: spike with up bar
• Supertrend: recently flipped up
Plan: Enter on retest or structured continuation; define stop under breakout level.
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Common pitfalls to avoid
• Acting on one section alone. Confluence matters.
• Chasing after long candles without volume follow-through.
• Ignoring timeframe alignment. Check the next higher timeframe.
• Oversizing trades just because “Summary = Strong Buy/Sell.”
• Moving stops farther instead of accepting a planned loss.
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Practice & evaluation routine
1. Replay mode (TradingView Bar Replay) to practice reading the tiles in order.
2. Journal each trade: which sections agreed, where stop/target were, outcome.
3. Weekly review: Were losing trades missing confirmation? Did you respect size rules?
4. Iterate cautiously: Change one setting at a time and observe for a week.
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Frequently asked questions
Q: Is the Summary score weighted?
A: Each sub-signal contributes small integers; totals from Oscillators, MAs, and Advanced sections are added without fancy weighting, keeping it transparent.
Q: Can I use this as a standalone system?
A: It’s best used as a decision support layer with your own risk rules, not as a mechanical “buy/sell” machine.
Q: Which timeframe is best?
A: The one that matches your holding period. Always confirm with at least one higher timeframe.
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Suggested classroom flow (for teaching)
1. Session 1: Oscillators only → identify good vs stretched momentum.
2. Session 2: Moving Averages → trend structure and bias.
3. Session 3: OB + Trendline/Channel → location and breakouts.
4. Session 4: Supertrend + Volume → confirmation and participation.
5. Session 5: Confluence building → case studies and journaling.
6. Session 6: Risk management, sizing, and review habits.
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Disclaimer aiTrendview (please read)
This indicator and study material are provided for educational and research purposes only. They do not constitute financial advice, investment recommendations, or a promise of performance. Trading involves substantial risk and may result in losses. Past performance of any method or indicator does not guarantee future results. You are solely responsible for your trading decisions, including risk management, position sizing, and due diligence. Always test ideas in a demo environment before using real capital, and consider consulting a licensed financial advisor.
Cerca negli script per "breakout"
Conferma Rotture by G.I.N.e Trading (Auto/Manual Profile)This indicator is designed to detect Range Expansion Bars (REB) and validate them through multiple filters, including trend alignment, fractal breakouts, volume strength, and VSA logic.
It can be used as a standalone breakout detector or as a confirmation tool for existing strategies.
Main Components
Range Expansion Detection (REB)
A bar is considered a REB when its range (High − Low) exceeds a dynamic threshold based on either:
Average range over N bars, or
ATR over N bars (if enabled).
Thresholds are adjustable and can adapt automatically to the instrument (e.g., DAX, Bund).
Trend Filter — HMA Slope
Calculates the slope of a Hull Moving Average to determine trend direction.
REB signals are only valid when aligned with the current trend (optional filter).
Fractal Breakout Confirmation
Uses Bill Williams fractals to identify the most recent swing high/low.
A REB is confirmed only if it breaks the latest fractal in the signal’s direction (optional).
Volume Filters
Simple Volume Check: Volume must be greater than the moving average × multiplier.
VSA Filter: Requires wide spread + high volume, confirming strong participation.
Armed Trigger Mode (Two-step Confirmation)
Step 1: REB detected → state is “armed” for a set number of bars.
Step 2: Position triggers only if price breaks the REB bar’s high/low within the validity window.
Visual Elements
Green/Red Columns — Confirmed REB signals (Long / Short).
White Line — REB intensity (range / base).
Yellow ±0.5 Line — “Armed” state before trigger activation.
Aqua Circles — VSA confirmation (wide spread + high volume).
Teal Line — Last up fractal level.
Orange Line — Last down fractal level.
Usage Example
Detect breakouts with strong momentum and volume.
Combine with fractal breakout for additional confirmation.
Use in “armed” mode to avoid false entries and require a follow-up trigger.
Especially suited for futures like DAX and Bund, but parameters can be adapted to other assets.
LANZ Strategy 7.0🔷 LANZ Strategy 7.0 — Multi-Session Breakout Logic with Midnight-Cross Support, Dynamic SL/TP, Multi-Account Lot Sizing & Real-Time Visual Tracking
LANZ Strategy 7.0 is a robust, visually-driven trading indicator designed to capture high-probability breakouts from a customizable market session.
It includes full support for sessions that cross midnight, dynamic calculation of Entry Price (EP), Stop Loss (SL) and Take Profit (TP) levels, and a multi-account lot sizing panel for precise risk management.
The system is built to only trigger one trade per day and manages the full trade lifecycle with automated visual cleanup and detailed alerts.
📌 This is an indicator, not a strategy — it does not place trades automatically, but provides exact entry setups, SL/TP levels, risk-based lot size guidance, and real-time alerts for execution.
🧠 Core Logic & Features
🚀 Entry Signal (BUY/SELL)
The trading day begins with a Decision Session (yellow box) where the high/low range is recorded.
Once the Operative Session starts (blue zone), the first touch of the session’s high triggers a BUY setup, and the first touch of the session’s low triggers a SELL setup.
Only one valid trade can be triggered per day — the system locks after the first signal.
⚙️ Dynamic Stop Loss & Take Profit
SL levels are derived from the Decision Session high/low using customizable Fibonacci multipliers (independent for BUY and SELL).
TP is dynamically calculated from the EP–SL distance using a user-defined Risk:Reward ratio (R:R).
All EP, SL, and TP levels are drawn as independent lines with customizable colors, label text size, and style.
⏳ Session & Midnight-Cross Support
Works with any custom Decision/Operative session hours, including sessions that start one day and end the next.
Properly tracks time zones using New York session time for consistency.
Includes Cutoff Time: after this limit, no new entries are allowed, and all visuals are auto-cleared if no trade was triggered.
💰 Multi-Account Risk-Based Lot Sizing
Supports up to 5 independent accounts.
Each account can have:
Own capital
Own risk percentage per trade
Lot size is auto-calculated based on:
SL distance (in pips or points)
Pip value (auto-detected for Forex or manually set for indices/commodities)
Results are displayed in a clean lot size info panel.
🖼️ Real-Time Visual Tracking
Dynamic updates to all levels during the Decision Session.
EP, SL, TP lines update if the session high/low changes before the Operative Session starts.
Trade result labels:
SL hit → “–1.00%” in red
TP hit → “+X.XX%” in green
Manual close at Operative End → shows actual % result in blue or purple.
🔔 Alerts for Every Key Event
Session start notification
EP entry triggered
SL or TP hit
Manual close at session end
Missed entry due to cutoff
🧭 Execution Flow
Decision Session (Yellow) — Capture high/low range.
Operative Session (Blue) — First touch of high = BUY setup; first touch of low = SELL setup.
Plot EP, SL, TP lines + calculate lot sizes for all active accounts.
Track trade until SL, TP, or Operative End.
If no entry triggered by Cutoff Time → clean all visuals and notify.
💡 Ideal For:
Traders who operate breakout logic on specific sessions (NY, London, Asian, or custom).
Those managing multiple accounts with strict risk per trade.
Anyone trading assets with sessions crossing midnight.
👨💻 Credits:
Developer: LANZ
Logic Design: LANZ
Built For: Multi-timeframe session breakouts with high precision.
Purpose: One-shot trade per day, risk consistency, and total visual clarity.
ATR%指標概要 / Overview
ATR Percentage (MTF)：把 ATR 轉為百分比（ATR%）或保留為絕對值，並在該「波動序列」上套用布林帶。支援多週期（MTF）計算：例如在 5 分圖顯示 4H / D1 的 ATR%。內建白色點狀水平線作為固定門檻（預設 1%）。
ATR Percentage (MTF): Converts ATR to a percentage of price (ATR%) or keeps it as absolute ATR, then applies Bollinger Bands on this volatility series. Supports multi-timeframe (MTF) calculation (e.g., show 4H/D1 ATR% on a 5-min chart). Includes a configurable white dotted horizontal threshold line (default 1%).
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設計目的 / Purpose
• 以 ATR% 衡量相對波動，利於跨品種比較。
Use ATR% for relative volatility to compare across markets.
• 以 布林帶 標示「高/低波動區」，觀察擴張與壓縮。
Use Bollinger Bands on volatility to highlight expansion/squeeze.
• 提供 固定閾值（1%） 作為策略濾網或告警門檻。
Provide a fixed threshold (1%) for filters/alerts.
• 以 MTF 方式，讓低週期策略用高週期波動做濾網。
MTF lets lower-TF strategies filter by higher-TF volatility.
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參數說明 / Inputs
• Use ATR as % of Close：切換 ATR（絕對值）/ ATR%（建議）。
Toggle between absolute ATR and ATR% (recommended).
• ATR Periods：ATR 計算長度（預設 22）。
ATR lookback (default 22).
• Show Bollinger Bands / BB Periods / StdDev：布林帶開關、長度與倍數（預設 20 / 2）。
Bollinger Bands on/off, length, and deviation (default 20 / 2).
• Source Timeframe：計算用週期（如 60、240、D、W；留空/Chart ＝ 跟隨圖表）。
Timeframe used for calculations (e.g., 60, 240, D, W; empty/“Chart” = current).
• Threshold Line (%)：白色點線門檻，預設 1.0（即 1%）。
White dotted threshold line, default 1.0 (1%).
提醒：當 非 ATR% 模式時，Threshold 值代表「價格單位」而非百分比。
Note: In non-ATR% mode, the threshold is in price units, not percent.
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訊號解讀 / How to Read
• ATR% > 上軌：波動顯著擴張（趨勢啟動或加速常見）。
ATR% above upper band: significant expansion; often trend ignition/acceleration.
• ATR% < 下軌：波動明顯壓縮（常見於突破前）。
ATR% below lower band: volatility squeeze; often precedes breakouts.
• ATR% 穿越 Threshold（1%）：達到固定波動標準，可作策略開關或風控分水嶺。
ATR% crossing the 1% threshold: fixed volatility bar for filters/risk gates.
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內建告警 / Built-in Alerts
• Volatility Breakout (MTF)：ATR/ATR% 向上穿越上軌。
Triggers when ATR/ATR% crosses above the upper band.
• Volatility Squeeze (MTF)：ATR/ATR% 向下穿越下軌。
Triggers when ATR/ATR% crosses below the lower band.
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使用建議 / Suggested Uses
• 當沖濾網：於 1–5 分圖選擇 4H / D1 作為 Source Timeframe；僅在 ATR% > 1% 且位於中線以上時允許趨勢進場。
Intraday filter: on 1–5m charts, set 4H/D1 as source TF; allow trend entries only when ATR% > 1% and above the midline.
• 突破前偵測：ATR% 長時間貼近下軌 → 留意可能的波動擴張。
Pre-breakout scan: prolonged ATR% near lower band can foreshadow expansion.
• 跨品種比較：用 ATR% 統一指數、外匯、商品的波動刻度。
Cross-asset comparison: ATR% normalizes volatility across indices/FX/commodities.
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已知限制 / Notes
• MTF 對齊：使用 request.security() 對映高週期資料到當前圖表；在歷史回補與即時邊界棒可能略有差異。
MTF alignment: request.security() maps higher-TF data; boundary bars may differ slightly between historical and realtime.
• 百分比分母：ATR% 的分母為同一週期的 close；若需更平滑可改 ATR / SMA(close, N) × 100。
Denominator: ATR% uses same-TF close; for smoother values consider ATR / SMA(close, N) × 100.
• 風險聲明：僅供研究/教育用途，非投資建議，請自行控管風險。
Disclaimer: For research/education only. Not investment advice.
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版本與更新 / Version & Updates
• v1.0：ATR/ATR% + BB（MTF）、1% 白色點線、兩組告警。
v1.0: ATR/ATR% + BB (MTF), 1% white dotted line, two alert conditions.
VOID OCULUS MACHINE V8 – ASSASSIN MODEVOID OCULUS MACHINE V8 – ASSASSIN MODE
Version 8.0 | Pine Script v6
Purpose & Originality
VOID OCULUS MACHINE V8 – ASSASSIN MODE brings together four advanced trading filters—EMA crossovers, TRIX momentum, VWAP band positioning, and a proprietary “Predictive Cloud”—into a single, high-precision entry system. Rather than relying on any one signal, it calculates a confidence score combining trend, momentum, volume, and volatility cues, then triggers only the highest-probability setups once a user-defined threshold is met. This multi-layer architecture offers traders laser-focused entries (“Assassin Mode”) with built-in risk (stop) and reward (targets) visualization.
How It Works & Component Rationale
EMA Trend Alignment
Fast EMA (9) vs. Slow EMA (21): Captures short-term versus medium-term trend. A bullish bias requires EMA9 > EMA21, bearish bias EMA9 < EMA21.
TRIX Momentum Filter
A triple-smoothed EMA oscillator over 15 bars, expressed as a percentage change. Positive TRIX confirms upward momentum; negative TRIX confirms downward momentum.
Gaussian Noise Reduction
Dual 5-period EMA smoothing of price removes short-term noise, creating a “cloud base.” Entries only fire when price interacts favorably with this smoothed baseline.
VWAP Band Confirmation (Optional)
Calculates session VWAP ± one standard deviation over 20 bars, plotting upper/lower bands. Traders can require price to sit above/below VWAP mid for trend confirmation.
Predictive Cloud Overlay
A dynamic band (Gaussian ± ATR) forecasts a near-term “value zone.” Pullback and reversal entries can occur as price re-enters or breaks out of this cloud.
Confidence Scoring
Starts at 0 and adds:
+30 for EMA trend alignment (bull or bear)
+20 for volume spike (>20-bar SMA)
+20 for non-zero TRIX slope
+20 for ATR expansion (volatility ramping)
+10 if price is above or below VWAP mid (if VWAP filter is enabled)
Only fires signals when confidence ≥ 60% (configurable), ensuring multi-factor confluence.
Entry Type Differentiation
Breakout: Price pierces prior 10-bar high/low on volume and ATR expansion.
Pullback: Trend bias plus a crossover of price with EMA9.
Reversal: Price crosses back into the Predictive Cloud from outside, confirmed by VWAP cross.
Automated Trade Visualization
On each signal, clears previous objects, plots a “BUY (xx%) – ” or “SELL (xx%) – ” label, four tiered ATR-based targets (1×, 1.5×, 2×, 3.5×), and a stop-loss (ATR × 1.5).
Inputs & Customization
Input Description Default
Fast EMA Length for short-term trend EMA 9
Slow EMA Length for medium-term trend EMA 21
TRIX Length Period for triple-smoothed momentum oscillator 15
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Enable VWAP Filter Require price alignment above/below VWAP mid On
Minimum Confidence Confidence % threshold to trigger a signal 60
Show Predictive Cloud Toggle the Gaussian ± ATR cloud on/off On
How to Use
Apply to Chart: Suitable on 5 m–1 h timeframes for swing entries.
Adjust Confidence & Filters: Raise the Minimum Confidence to tighten setups; disable VWAP filter for pure price/momentum plays.
Read Signals:
“BUY (75%) – Breakout” label means 75% confluence across filters, triggered by a breakout entry type.
Four colored horizontal lines mark TP1–TP4; a red line marks your stop.
Manage the Trade:
Use the plotted stop-loss line; scale out at targets or trail behind the Predictive Cloud.
Unique Value
VOID OCULUS MACHINE V8 stands out by quantifying multi-dimensional market context into a single confidence score and providing automated trade object plotting—no more manual target calculations or cluttered charts. Its “Assassin Mode” ensures only the most compelling setups trigger, saving traders time and reducing noise.
Disclaimer
This indicator is for educational purposes. Past performance does not guarantee future results. Always backtest across symbols/timeframes, combine with personal discretion, and apply strict risk management before trading live.
Standard Deviation BandsStandard Deviation Bands
คำอธิบายอินดิเคเตอร์:
อินดิเคเตอร์ SD Bands (Standard Deviation Bands) เป็นเครื่องมือวิเคราะห์ทางเทคนิคที่ออกแบบมาเพื่อวัดความผันผวนของราคาและระบุโอกาสในการเทรดที่อาจเกิดขึ้น อินดิเคเตอร์นี้จะแสดงผลเป็นเส้นขอบ 2 เส้นบนกราฟราคาโดยตรง โดยอ้างอิงจากค่าเฉลี่ยเคลื่อนที่ (Moving Average) และค่าส่วนเบี่ยงเบนมาตรฐาน (Standard Deviation)
* เส้นบน (Upper Band): แสดงระดับที่ราคาเคลื่อนไหวสูงกว่าค่าเฉลี่ย
* เส้นล่าง (Lower Band): แสดงระดับที่ราคาเคลื่อนไหวต่ำกว่าค่าเฉลี่ย
ความกว้างของช่องระหว่างเส้นทั้งสองบ่งบอกถึงระดับความผันผวนของตลาดในปัจจุบัน
วิธีการใช้งานอย่างละเอียด:
คุณสามารถนำอินดิเคเตอร์ SD Bands ไปประยุกต์ใช้ได้หลายวิธีเพื่อประกอบการตัดสินใจ ดังนี้:
1. การใช้เป็นแนวรับ-แนวต้านแบบไดนามิก (Dynamic Support & Resistance)
* แนวรับ: เมื่อราคาวิ่งลงมาแตะหรือเข้าใกล้เส้นล่าง (เส้นสีน้ำเงิน) เส้นนี้อาจทำหน้าที่เป็นแนวรับชั่วคราวและมีโอกาสที่ราคาจะเด้งกลับขึ้นไปหาเส้นกลาง
* แนวต้าน: เมื่อราคาวิ่งขึ้นไปแตะหรือเข้าใกล้เส้นบน (เส้นสีแดง) เส้นนี้อาจทำหน้าที่เป็นแนวต้านชั่วคราวและมีโอกาสที่ราคาจะย่อตัวลงมา
2. การวัดความผันผวนและสัญญาณ Breakout
* ช่วงตลาดสงบ (Low Volatility): เมื่อเส้น SD ทั้งสองเส้นบีบตัวเข้าหากันเป็นช่องที่แคบมาก (คล้ายกับ Bollinger Squeeze) แสดงว่าตลาดมีความผันผวนต่ำมาก ซึ่งมักจะเป็นสัญญาณว่ากำลังจะเกิดการเคลื่อนไหวครั้งใหญ่ (Breakout)
* ช่วงตลาดเป็นเทรนด์ (High Volatility): เมื่อเส้น SD ขยายตัวกว้างออกอย่างรวดเร็ว พร้อมกับที่ราคาวิ่งอยู่นอกขอบ แสดงว่าตลาดเข้าสู่ช่วงเทรนด์ที่แข็งแกร่งและมีโมเมนตัมสูง
3. สัญญาณการกลับตัว (Reversal Signals)
* เมื่อราคาปิดแท่งเทียน นอกเส้น SD Bands อย่างชัดเจน (โดยเฉพาะหลังจากที่เทรนด์นั้นดำเนินมานาน) อาจเป็นสัญญาณว่าแรงซื้อ/แรงขายเริ่มอ่อนกำลังลง และมีโอกาสที่จะเกิดการกลับตัวของราคาในไม่ช้า
การตั้งค่าอินพุต (Input Parameters):
* ระยะเวลา (Length): กำหนดจำนวนแท่งเทียนที่ใช้ในการคำนวณค่าเฉลี่ยและ SD
* 20: สำหรับการวิเคราะห์ระยะสั้นถึงกลาง
* 50 หรือ 100: สำหรับการวิเคราะห์ระยะยาว
* ตัวคูณ (Multiplier): กำหนดระยะห่างของเส้น SD จากค่าเฉลี่ย
* 1.0 - 2.0: เส้นจะอยู่ใกล้ราคามากขึ้น ทำให้เกิดสัญญาณบ่อยขึ้น
* 2.0 - 3.0: เส้นจะอยู่ห่างจากราคามากขึ้น ทำให้เกิดสัญญาณที่น่าเชื่อถือมากขึ้น แต่จะเกิดไม่บ่อย
ข้อควรระวังและคำเตือน:
* อินดิเคเตอร์นี้เป็นเพียง เครื่องมือวิเคราะห์ เพื่อช่วยในการตัดสินใจ ไม่ใช่สัญญาณการซื้อขายที่ถูกต้อง 100%
* ควรใช้ร่วมกับเครื่องมืออื่นๆ เช่น RSI, MACD, หรือ Volume เพื่อยืนยันสัญญาณ
* การเทรดมีความเสี่ยงสูง ควรบริหารจัดการความเสี่ยงและตั้งจุด Stop Loss ทุกครั้ง
คุณสามารถใช้โครงสร้างนี้ในการเขียนโพสต์บน TradingView ได้เลยนะครับ ขอให้ประสบความสำเร็จกับการโพสต์อินดิเคเตอร์ของคุณครับ!
English
Standard Deviation Bands
Indicator Description:
The SD Bands (Standard Deviation Bands) indicator is a powerful technical analysis tool designed to measure price volatility and identify potential trading opportunities. The indicator displays two dynamic bands directly on the price chart, based on a moving average and a customizable standard deviation multiplier.
* Upper Band: Indicates price levels above the moving average.
* Lower Band: Indicates price levels below the moving average.
The width of the channel between these two bands provides a clear picture of current market volatility.
Detailed User Guide:
You can use SD Bands in several ways to enhance your trading decisions:
1. Dynamic Support and Resistance:
These bands can act as dynamic support and resistance levels.
* Support: When the price moves down and touches or approaches the lower band, it can act as support, offering the possibility of a rebound to the average.
* Resistance: When the price moves up and touches or approaches the upper band, it can act as resistance, offering the possibility of a rebound.
2. Volatility Measurement and Breakout Signals:
* Low Volatility (Squeeze): When the two bands converge and form a narrow channel. Indicates very low market volatility. This condition often occurs before significant price movements or breakouts.
* High Volatility (Expansion): When the bands expand and widen rapidly, it indicates that the market is entering a period of strong trending momentum with high momentum.
3. Reversal Signals:
* When the price closes significantly outside the SD Bands (especially after a long-term trend), it may signal that the current momentum has expired and a reversal may be imminent.
Input Parameters:
The indicator's parameters are fully customizable to suit your trading style:
* Length: Defines the number of bars used to calculate the moving average and standard deviation.
* 20: Suitable for short- to medium-term analysis.
* 50 or 100: Suitable for long-term trend analysis.
* Multiplier: Adjusts the sensitivity of the signal bars.
* 1.0 - 2.0: Creates narrower signal bars, leading to more frequent signals.
* 2.0 - 3.0: Creates wider signal bars, providing fewer but potentially more significant signals.
Important Warning:
* This indicator is an analytical tool only. It does not provide guaranteed buy or sell signals.
* Always use it in conjunction with other indicators (such as RSI, MACD, and Volume) for confirmation.
* Trading involves high risk. Proper risk management, including the use of stop-loss orders, is recommended.
You can use this structure for your posts on TradingView. Good luck with your indicators!
Accumulation Phase DetectorClean Accumulation Phase Indicator — Description
This TradingView indicator visually identifies the Accumulation Phase in price action, based on the Wyckoff methodology and volume-price analysis. The Accumulation Phase is where insiders or "smart money" gradually build positions before a significant price breakout.
Key Features:
Range Detection: The indicator calculates a price range over a configurable period (Range Length). It marks this range on the chart with red horizontal lines representing support and resistance.
Volume Spike Identification: It detects unusually high volume relative to the average volume over the same period (Volume Spike Multiplier). These spikes highlight potential insider buying activity.
Accumulation Phase Highlighting: When price action remains within the detected range and volume spikes occur, the indicator considers the market to be in an accumulation phase. Volume bars during this phase are colored blue for easy visualization.
Campaign Start & End Labels: The indicator places a "Campaign starts" label at the beginning of the accumulation phase and a "Campaign ends - warehouse full" label when the accumulation ends. This mimics the idea that insiders fill their “warehouses” before a breakout.
Breakout Detection: Once accumulation ends, the indicator monitors for a price breakout above the resistance level and places a "Breakout" label at the breakout bar.
How to Use:
Adjust the Range Length and Volume Spike Multiplier inputs to suit the timeframe and instrument you’re analyzing.
Watch for the blue volume bars within the red range lines to identify the accumulation phase.
Use the campaign labels to identify when the phase starts and ends.
Watch for the breakout label as a potential entry signal.
ATR Trailing Stop with ATR Targets [v6]What the Indicator Does
This custom TradingView indicator is designed for active traders who want to automate and visualize their trailing stop management and target setting, using true market volatility. It combines the Average True Range (ATR) with dynamic market structure logic to:
Trail a stop-loss behind major swings in real time, using 2×ATR (adjustable) from the highest high in uptrends or the lowest low in downtrends.
Flip trading bias between bullish and bearish when the stop is breached.
Identify and plot three profit targets (at 1, 2, and 3 ATR from the breakout/flip point) after every stop-flip, helping traders scale out or set take-profits objectively.
Maintain a visible presence on your chart every bar to avoid indicator errors, with color and labeling for clear distinction between long/short phases.
How the Indicator Works
1. ATR Calculation
ATR Period and Multiplier: You select your preferred ATR length (default is 14 bars) and a multiplier (default is 2.0).
Volatility Adjustment: ATR measures the average "true" bar range, so the trailing stop and targets adapt to current volatility.
2. Trailing Stop Logic
Uptrend (bullish bias): The indicator tracks the highest high made since the last bearish-to-bullish flip and sets the stop at - .
The stop only raises (never lowers) during an uptrend, protecting gains in strong moves.
Downtrend (bearish bias): Tracks the lowest low made since the last bullish-to-bearish flip, with stop at + .
The stop only lowers (never raises) in a downtrend.
Flip Point: If price closes through the trailing stop, the current bias “flips,” and the logic reverses (bullish to bearish or vice versa). At the new close, flip price and bar index are stored for target calculation.
3. ATR Targets after Flip
After each stop flip:
Three targets—based on the new close price—are calculated and plotted:
Long flip (new bull bias): Target1 = close + 1×ATR, Target2 = close + 2×ATR, Target3 = close + 3×ATR.
Short flip (new bear bias): Target1 = close - 1×ATR, Target2 = close - 2×ATR, Target3 = close - 3×ATR.
These targets help with scaling out, partial profit-taking, or setting automated orders.
4. Visual Feedback
Trailing stop line: Green for long bias, red for short bias.
Targets: Distinct color-coded circles at 1, 2, 3 ATR levels from the most recent flip.
Flip Labels: Mark the bar and price where bias flipped (“Long Flip” or “Short Flip”) for quick pattern recognition.
Subtle background shading: Ensures TradingView's requirement for “indicator output every bar.”
How to Use This Indicator
Parameter Setup
ATR Period and Multiplier: Adjust to match the timeframe and volatility of your instrument.
Lower periods/multipliers for short-term/volatile trading.
Higher values for smoother signals or higher timeframes.
Starting Trend: Set to match the expected initial bias if the instrument has strong trend characteristics.
Trading Application
1. Daily Bias Approach
Establish your bias in line with your trading plan (e.g., only trade long if price is above the previous day's high, short below the previous day's low).
Only look for trades in the indicator's current bias direction, as expressed by the stop and background color.
2. Entry
Use the indicator as a real-time confirmation or trailing stop for your entries.
Breakout: Enter when price establishes the current bias, using the trailing stop as your risk level.
Reversal: Wait for a bias flip after an extended move; enter in the direction of the new bias.
VWAP Rebound: Combine with a VWAP bounce—enter only if the indicator bias supports your direction.
3. Exits/Targets
Trailing stop management: Move your stop according to the plotted line; exit if your stop is hit.
Profit-taking: Scale out or take profits as price approaches each ATR-based target.
Use the dynamic labeling to identify reversal flips and reset your plan if stopped or the bias changes.
4. Market Context
Filter and frame setups by watching correlated indicators (DXY, VIX, AUDJPY, put/call ratio) and upcoming news; trade only in the daily bias direction for best consistency.
5. Practical Tips
Combine this indicator with your custom watchlist and alert settings to get notified on flips or targets.
Review the last label ("Long Flip"/"Short Flip") and targets to plan partial exits.
Remember: ATR adapts to volatility, so the stop and targets stay proportionate even when price action shifts.
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend.
WHAT IS UNIVERSAL RENKO BARS?
For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action.
But what if you didn't have to choose?
Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds:
❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork.
❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.).
The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers.
Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas.
HOW TO USE
To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings.
Initial Setup for the Best Experience
For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart.
→ Double click on the candles and uncheck the body checkbox.
Settings Breakdown
The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy.
First, What is a "Tick"?
Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator.
❖ Calculation Method (The "Tick Size" Engine)
This section determines the monetary value of a single "Tick."
`Calculation Method` : Choose your preferred engine for defining the Tick Size.
`ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity.
`Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input.
`Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0).
❖ Parameters (The Core Renko Engine)
This group controls how the bricks are constructed based on the Tick Size.
`Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily.
`Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise.
`Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look.
❖ Visuals (Controlling What You See)
This is where you tailor the chart to your visual preference.
`Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend.
`Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick.
`Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts.
`Show Info Label` : Toggles the on-chart label that provides key real-time stats:
🧱 Bricks: The total count of confirmed bricks.
⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed.
🌲 Tick Size: The current calculated value of a single Tick.
Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation.
TRADING STRATEGIES & IDEAS
Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies.
Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum.
Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry.
Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level.
Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal.
A FINAL WORD
Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence.
Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates!
Follow me to get notified when I publish New Indicator.
~ SiddWolf
Quantum Harmonic Oscillator Overlay🧪 Quantum Harmonic Oscillator Overlay
A visual model of price behavior using quantum harmonic oscillation principles
📜 Indicator Overview
The Quantum Harmonic Oscillator Overlay applies concepts from both classical physics (harmonic motion) and quantum mechanics (energy states) to model and visualize how price orbits around a central trend line. It overlays a Linear Regression line (representing the “mean position” or ground state of price) and calculates surrounding energy levels (σ-zones) akin to quantum shells that price can "jump" between.
This indicator is particularly useful for visualizing mean reversion, volatility compression/expansion, and momentum-driven price breakthroughs.
🧠 Core Concepts
Linear Regression Line (LSR): This is the calculated center of gravity or equilibrium path of price over a user-defined period. Think of it like the lowest energy state or central axis around which price vibrates.
Standard Deviation Zones (σ-levels):
1σ: The majority of normal price activity; within this range, price tends to fluctuate if in balance.
2σ: Indicates volatility or possible breakout pressure.
3σ: Represents extreme movement — a phase shift in energy, potentially leading to reversal or continuation with higher momentum.
Quantum Analogy: Just like in a quantum harmonic oscillator, particles (here, prices) move probabilistically between discrete energy states. The further the price moves from the center, the more "energy" (momentum, volume, volatility) is implied.
⚙️ Input Parameters
Setting Description
Linear Regression Length The number of bars used to calculate the regression trend (default 100). Affects the central path and responsiveness.
σ Multipliers (1σ, 2σ, 3σ) Determine how far each band is from the regression line. Adjusting these can highlight different price behaviors.
Show Energy Level Zones Toggle visibility of the colored bands around the regression line.
Show LSR Center Line Toggles visibility of the white Linear Regression line itself.
🎨 Visual Components
Color Zone Interpretation
✅ Green ±1σ Normal oscillation / mean reversion area. Ideal for range-bound strategies.
🟧 Orange ±2σ Warning zone; price may be gaining momentum or volatility.
🔴 Red ±3σ High-momentum state or anomaly. These regions may imply trend exhaustion, reversals, or breakouts.
White Line: The LSR — the average trajectory of the price movement.
Pink Dots: Appear when price exceeds Zone 3 (outside ±3σ) — a signal of extreme behavior or a possible regime shift.
📈 How to Use This Indicator
1. Detect Overextensions
When price touches or breaches the 3σ zone, it is likely overextended. This can be used to anticipate potential snapbacks or strong breakout trends.
2. Identify Mean Reversion Trades
If price exits the 2σ or 3σ zones and returns toward the center line, this signals a likely mean reversion setup.
3. Volatility Compression or Expansion
Flat zones between σ levels suggest calm markets; widening bands suggest expanding volatility.
4. Use with Confirmation Tools
Combine with momentum oscillators (MACD, RSI) or volume-based signals to confirm reversals or continuation outside Zone 3.
🔮 Philosophical Note
This indicator embodies the metaphor that the market behaves like a quantum oscillator — price particles exist in a probabilistic field and jump between discrete zones of volatility and energy. Tracking these transitions allows the trader to see price behavior as rhythmic, wave-like, and multidimensional rather than purely linear.
Volume-Confirmed Price Momentum# **Volume-Confirmed Price Momentum (VCPM) Indicator**
## **🔍 Overview**
Introducing the **Volume-Confirmed Price Momentum (VCPM)**, a sophisticated dual-metric indicator designed to identify high-probability momentum moves by analyzing the relationship between price action and volume dynamics. This indicator combines correlation analysis with volume strength validation to filter out weak signals and highlight institutional-backed movements.
---
## **⚙️ Core Mechanics**
**Price-Volume Correlation Engine:**
- Calculates real-time correlation between price movements and volume
- Configurable lookback period (default: 8 bars)
- Option to use price changes or absolute values
- Correlation range: -1.0 (perfect negative) to +1.0 (perfect positive)
**Volume Strength Analyzer:**
- Compares current volume against its moving average (default: 128 periods)
- Normalizes volume ratio to 0-1 scale for consistent interpretation
- Identifies when volume significantly exceeds historical norms
---
## **📊 Signal Generation**
### **🟢 Bullish Confirmation Signal**
**Trigger:** Positive correlation > 0.6 + Volume ratio > 0.5
- Price and volume moving in harmony upward
- Above-average volume confirms the move
- Indicates strong institutional buying interest
### **🔴 Bearish Confirmation Signal**
**Trigger:** Negative correlation < -0.6 + Volume ratio > 0.5
- Price declining with increasing volume
- Suggests distribution or institutional selling
- High-confidence bearish momentum
---
## **🎯 Trading Applications**
**Breakout Validation:**
Filter false breakouts by requiring volume confirmation before entering positions.
**Trend Continuation:**
Identify when existing trends have strong volume backing for continuation plays.
**Distribution Detection:**
Spot potential tops when price struggles despite high volume (negative correlation).
**Entry Timing:**
Built-in alert system notifies when both conditions align for optimal entry points.
---
## **🔧 Customization Features**
- **Correlation Period:** Adjust sensitivity (2-500 bars)
- **Volume Averaging:** Modify volume comparison timeframe
- **Alert Thresholds:** Fine-tune correlation and volume ratio triggers
- **Visual Options:** Toggle volume histogram display
- **Price Source:** Choose from OHLC or custom sources
---
## **💡 Why VCPM Works**
Traditional momentum indicators often generate false signals during low-volume periods. VCPM solves this by requiring **dual confirmation**: price momentum must be supported by corresponding volume activity. This approach:
- Reduces whipsaws and false breakouts
- Identifies institutional participation
- Provides higher conviction trade setups
- Works across all timeframes and markets
---
## **📈 Best Use Cases**
✅ **Crypto markets** (high volatility, volume-driven)
✅ **Stock breakouts** (earnings, news events)
✅ **Forex majors** (during high-impact news)
✅ **Futures trading** (momentum confirmation)
---
## **⚠️ Important Notes**
- Works best in liquid markets with consistent volume data
- Combine with support/resistance levels for enhanced accuracy
- Consider market context (trending vs. ranging conditions)
- Not recommended for extremely low-volume periods
---
## **🚀 Getting Started**
1. Add VCPM to your chart as a sub-panel indicator
2. Configure correlation threshold (start with 0.6)
3. Set volume ratio threshold (start with 0.5)
4. Enable alerts for automated signal detection
5. Backtest on your preferred timeframe and instrument
---
**Ready to enhance your momentum trading with volume confirmation? Try VCPM and experience the difference institutional-backed signals can make in your trading results.**
*Available in Pine Script v6 - Compatible with all TradingView accounts*
Rolling VWAP LevelsRolling VWAP Levels Indicator
Overview
Dynamic horizontal lines showing rolling Volume Weighted Average Price (VWAP) levels for multiple timeframes (7D, 30D, 90D, 365D) that update in real-time as new bars form.
Who This Is For
Day traders using VWAP as support/resistance
Swing traders analyzing multi-timeframe price structure
Scalpers looking for mean reversion entries
Options traders needing volatility bands for strike selection
Institutional traders tracking volume-weighted fair value
Risk managers requiring dynamic stop levels
How To Trade With It
Mean Reversion Strategies:
Buy when price is below VWAP and showing bullish divergence
Sell when price is above VWAP and showing bearish signals
Use multiple timeframes - enter on shorter, confirm on longer
Target opposite VWAP level for profit taking
Breakout Trading:
Watch for price breaking above/below key VWAP levels with volume
Use 7D VWAP for intraday breakouts
Use 30D/90D VWAP for swing trade breakouts
Confirm breakout with move beyond first standard deviation band
Support/Resistance Trading:
VWAP levels act as dynamic support in uptrends
VWAP levels act as dynamic resistance in downtrends
Multiple timeframe VWAP confluence creates stronger levels
Use standard deviation bands as additional S/R zones
Risk Management:
Place stops beyond next VWAP level
Use standard deviation bands for position sizing
Exit partial positions at VWAP levels
Monitor distance table for overextended moves
Key Features
Real-time Updates: Lines move and extend as new bars form
Individual Styling: Custom colors, widths, styles for each timeframe
Standard Deviation Bands: Optional volatility bands with custom multipliers
Smart Labels: Positioned above, below, or diagonally relative to lines
Distance Table: Shows percentage distance from each VWAP level
Alert System: Get notified when price crosses VWAP levels
Memory Efficient: Automatically cleans up old drawing objects
Settings Explained
Display Group: Show/hide labels, font size, line transparency, positioning
Individual VWAP Groups: Color, line width (1-5), line style for each timeframe
Standard Deviation Bands: Enable bands with custom multipliers (0.5, 1.0, 1.5, 2.0, etc.)
Labels Group: Position (8 options including diagonal), custom text, price display
Additional Info: Distance table, alert conditions
Technical Implementation
Uses rolling arrays to maintain sliding windows of price*volume data. The core calculation function processes both VWAP and standard deviation efficiently. Lines are created dynamically and updated every bar. Memory management prevents object accumulation through automatic cleanup.
Best Practices
Start with 7D and 30D VWAP for most strategies
Add 90D/365D for longer-term context
Use standard deviation bands when volatility matters
Position labels to avoid chart clutter
Enable distance table during high volatility periods
Set alerts for key VWAP level breaks
Market Applications
Forex: Major pairs during London/NY sessions
Stocks: Large cap names with good volume
Crypto: Bitcoin, Ethereum, major altcoins
Futures: ES, NQ, CL, GC with continuous volume
Options: Use SD bands for strike selection and volatility assessment
Market Balance LevelMarket Balance Level (MBL)
This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend.
How It Works:
Detects consolidation ranges using consecutive candles within a tight high-low structure.
When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation.
Triangles are drawn on breakouts to visually confirm the breakout direction.
Lines can be customized by color, width, and breakout direction (bullish, bearish, or both).
Recommended Use:
Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance.
Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation.
Features:
Adjustable consolidation sensitivity and line length.
Option to show/hide bullish or bearish MBLs.
Visual breakout markers (triangles) with alert support.
Optional alert messages for breakout events.
Use this tool to enhance your structure-based or SMC-style trading strategies.
NY ORB + Fakeout Detector🗽 NY ORB + Fakeout Detector
This indicator automatically plots the New York Opening Range (ORB) based on the first 15 minutes of the NY session (15:30–15:45 CEST / 13:30–13:45 UTC) and detects potential fakeouts (false breakouts).
🔍 Key Features:
✅ Plots ORB high and low based on the 15-minute NY open range
✅ Automatically detects fake breakouts (price wicks beyond the box but closes back inside)
✅ Visual markers:
🔺 "Fake ↑" if a fake breakout occurs above the range
🔻 "Fake ↓" if a fake breakout occurs below the range
✅ Gray background highlights the ORB session window
✅ Designed for scalping and short-term breakout strategies
🧠 Best For:
Intraday traders looking for NY volatility setups
Scalpers using ORB-based entries
Traders seeking early-session fakeout traps to avoid false signals
Those combining with EMA 12/21, volume, or other confluence tools
X OROverview
Designed to plot hourly opening ranges (ORs) on an intraday chart. It primarily serves as a trading tool for assessing market direction and potential trading opportunities by analyzing price action relative to key OHLC (Open, High, Low, Close) levels within each hourly range.
The code provided is for each hour sessions from 2:00 AM to 3:00 PM for a complete session-based framework. In addition there is the RTH open range
Purpose
The core purpose of this indicator is to:
✅ Define each hourly range (based on the session’s opening bar) by recording the high and low of that range.
✅ Extend this range into the following bars for visual reference — serving as dynamic support and resistance zones.
✅ Monitor price action relative to each hourly OR, helping traders evaluate market direction and structure trades using concepts like:
Breakouts above/below the OR high/low.
Rejections or consolidations within the OR.
Continuation or reversal signals tied to each OR.
Key Features
The script marks the first bar of the session as the OR session start.
During this bar, it initializes:
Opening price
Session high
Session low
These levels form the initial range.
🔹 Dynamic Range Tracking
Throughout the one-minute OR session:
The highest and lowest prices are updated in real time, capturing intra-hour volatility.
A visual background box is drawn to highlight the OR range on the chart.
🔹 Range Extension
The script defines an extended session period after the initial OR (e.g., 2:00 AM-2:45 AM for the 2:00 AM session).
During this extension period:
The box persists on the chart, providing a contextual zone that traders can use as a dynamic support/resistance area.
🔹 Visual Representation
Transparent colored boxes highlight each session’s OR visually on the chart.
These boxes help traders easily identify whether price is trading:
Inside the OR
Breaking above the high (potential bullish continuation)
Breaking below the low (potential bearish continuation)
Application in Trading
🔍 Trading the Opening Range Breakout
Traders often use the OR high and low as breakout triggers. For example:
A price break above the OR high may signal bullish momentum.
A break below the OR low may signal bearish momentum.
⚖️ Support and Resistance
Even if breakouts fail, the OR can act as a pivot zone — offering areas for:
Stop placements
Target levels
Entry confirmations for fade trades or mean reversion strategies.
🕒 Session Awareness
By defining each hour’s OR individually (from 2:00 AM to 3:00 PM), traders can:
Analyze price behavior within each session.
Recognize when liquidity or volatility increases (e.g. around overlapping sessions like London open or New York open).
Summary
This Pine Script indicator provides a powerful framework for visualizing and trading hourly opening ranges. It enhances intraday analysis by:
Structuring price action within hourly boxes.
Highlighting key price levels relative to OHLC concepts.
Helping traders make more informed decisions by assessing price behavior around these critical ranges.
Candle Volume Profile Marker# 📊 Candle Volume Profile Marker (CVPM)
**Transform your chart analysis with precision volume profile levels on every candle!**
The Candle Volume Profile Marker displays key volume profile levels (POC, VAH, VAL) for individual candles, giving you granular insights into price acceptance and rejection zones at the micro level.
## 🎯 **Key Features**
### **Core Levels**
- **POC (Point of Control)** - The price level with highest volume concentration
- **VAH (Value Area High)** - Upper boundary of the value area
- **VAL (Value Area Low)** - Lower boundary of the value area
- **Customizable Value Area** - Adjust percentage from 50% to 90%
### **Flexible Display Options**
- **Current Candle Only** or **Historical Lookback** (1-50 candles)
- **Multiple Visual Styles** - Lines, dots, crosses, triangles, squares, diamonds
- **Smart Line Extensions** - Right only, both sides, or left only
- **4 Line Length Modes** - Normal, Short, Ultra Short, Micro (for ultra-clean charts)
- **Full Color Customization** - Colors, opacity, line width
- **Adjustable Marker Sizes** - Tiny to Large
### **Advanced Calculation Methods**
Choose your POC calculation:
- **Weighted** - Smart estimation based on volume distribution (default)
- **Close** - Uses closing price
- **Middle** - High-Low midpoint
- **VWAP** - Volume weighted average price
### **Professional Tools**
- **Real-time Info Table** - Current levels display
- **Smart Alerts** - POC crosses and Value Area breakouts
- **Highlight Current Candle** - Extended dotted lines for current levels
- **Developing Levels** - Real-time updates for active candle
## 🚀 **Why Use CVPM?**
### **Precision Trading**
- Identify exact support/resistance on each candle
- Spot volume acceptance/rejection zones
- Plan entries and exits with micro-level precision
### **Clean & Customizable**
- Lines extend only right (eliminates confusion)
- Ultra-short line options for minimal chart clutter
- Professional appearance with full customization
### **Multiple Timeframes**
- Works on any timeframe from 1-minute to monthly
- Historical analysis with adjustable lookback
- Real-time developing levels
## 📈 **Perfect For**
- **Day Traders** - Micro-level entry/exit points
- **Swing Traders** - Key levels for position management
- **Volume Analysis** - Understanding price acceptance zones
- **Support/Resistance Trading** - Precise level identification
- **Breakout Trading** - Value area breakout alerts
## ⚙️ **Easy Setup**
1. Add indicator to your chart
2. Choose your preferred visual style (lines/dots)
3. Select line extension (right-only recommended)
4. Adjust line length (try "Ultra Short" for clean charts)
5. Customize colors and enable alerts
## 🎨 **Customization Groups**
- **Display Options** - What to show and how many candles
- **Calculation** - POC method and value area percentage
- **POC Visual** - Style, color, width, length for Point of Control
- **Value Area Visual** - Style, color, width, length for VAH/VAL
- **Line Settings** - Extension direction and length modes
- **Size** - Marker sizes and opacity
## 🔔 **Built-in Alerts**
- Price crosses above/below POC
- Value Area breakouts (up/down)
- Fully customizable alert messages
## 💡 **Pro Tips**
- Use "Right Only" extension to avoid confusion about which candle owns the levels
- Try "Ultra Short" or "Micro" line modes for cleaner charts
- Enable "Highlight Current Candle" for extended reference lines
- Combine with volume indicators for enhanced analysis
- Use different colors for easy POC/VAH/VAL identification
---
**Transform your volume analysis today with the most flexible and customizable candle-level volume profile indicator available!**
*Perfect for traders who demand precision and clean, professional charts.*
Delta Volume Color CoderDelta Volume Color Coder - Smart Money Footprint Visualizer
OVERVIEW
The Delta Volume Color Coder is a clean, minimalist indicator that highlights candles with exceptional delta volume, helping you instantly identify where smart money is actively trading. Unlike complex volume indicators that clutter your chart, this tool simply colors candles when institutional-level volume appears, leaving your normal price action untouched.
WHAT IS DELTA VOLUME?
Delta volume represents the difference between buying and selling pressure within each candle. Positive delta indicates more aggressive buying, while negative delta shows stronger selling. When delta reaches extreme levels, it often signals institutional activity or significant market events.
KEY FEATURES
- Clean Chart Design - Only colors candles with significant delta volume
- No Chart Compression - Overlay indicator that doesn't distort price scales
- Smart Detection - Automatically calculates dynamic thresholds based on recent activity
- Customizable Thresholds - Adjust sensitivity to match your trading style
- Multiple Calculation Methods - Classic or Range-Based delta calculations
COLOR CODING (Default)
- White Candles - Extreme positive delta (massive institutional buying)
- Green Candles - High positive delta (strong buying pressure)
- Red Candles - High negative delta (strong selling pressure)
- Violet Candles - Extreme negative delta (massive institutional selling)
- Normal Candles - Unchanged (standard TradingView red/green)
HOW TO USE
1. Add to any chart - Works on all timeframes and instruments
2. Look for colored candles - These mark significant volume events
3. White/Violet candles often mark reversals or breakouts
4. Multiple colored candles in sequence indicate strong trends
5. Colored candles at support/resistance levels are especially significant
SETTINGS EXPLAINED
- Lookback Period (20) - Bars used to calculate average delta
- High Delta Threshold (1.5x) - Triggers green/red coloring
- Extreme Delta Threshold (2.5x) - Triggers white/violet coloring
- Delta Calculation - Classic (open/close) or Range Based (close position)
- Color Wicks - Option to color entire candle or just the body
- All colors fully customizable
TRADING APPLICATIONS
- Reversal Detection - White/violet candles often mark exhaustion points
- Breakout Confirmation - Colored candles on breakouts show conviction
- Support/Resistance - High delta at key levels indicates significance
- Trend Strength - Frequency of colored candles shows trend momentum
- Institutional Tracking - Extreme delta reveals where big players are active
BEST PRACTICES
- Lower timeframes (1-15m) - Use for scalping and day trading entries
- Higher timeframes (1H+) - Identify major accumulation/distribution
- Combine with price action - Most effective at key technical levels
- Watch for clusters - Multiple extreme candles = major event
- Volume confirmation - Extreme delta + high volume = highest significance
TIPS FOR SUCCESS
1. White candles after downtrends often mark bottoms
2. Violet candles after uptrends often mark tops
3. Consecutive colored candles confirm trend direction
4. Lack of colored candles = low volatility, potential breakout ahead
5. Extreme delta at round numbers indicates institutional interest
WHY THIS INDICATOR?
- Simple Yet Powerful - No complex analysis needed
- Instant Visual Feedback - See institutional activity at a glance
- Clean Charts - No overlays, lines, or clutter
- Real-Time Detection - Updates with each new candle
- Universal Application - Works on stocks, forex, crypto, futures
UNIQUE ADVANTAGES
Unlike traditional volume indicators that require separate panes or compress your chart, the Delta Volume Color Coder seamlessly integrates with your existing setup. It answers one simple question: "Where is the smart money trading RIGHT NOW?"
Perfect for traders who want institutional-level insights without the complexity. Just add to your chart and let the colors guide you to where the real action is happening.
Consolidation Range [BigBeluga]A hybrid volatility-volume indicator that isolates periods of price equilibrium and reveals the directional force behind each range buildup.
Consolidation Range is a powerful tool designed to detect compression phases in the market using volatility thresholds while visualizing volume imbalance within those phases. By combining low-volatility detection with directional volume delta, it highlights where accumulation or distribution is occurring—giving traders the confidence to act when breakouts follow. This indicator is particularly valuable in choppy or sideways markets where range identification and sentiment context are key.
🔵 CONCEPTS
Volatility Compression: Uses ADX (Average Directional Index) to detect periods of low trend strength—specifically when ADX drops below a configurable threshold.
Range Structure: Upon a low-volatility trigger, the script dynamically anchors horizontal upper and lower bounds based on local highs and lows.
Directional Volume Delta: Inside each active range, it calculates the net difference between buy and sell volume, showing who controlled the range.
Sentiment Bias: A label appears in the center of the zone on breakout, showing the accumulated delta and bias direction (▲ for positive, ▼ for negative).
Range Validity Filter: Only ranges with more than 15 bars are considered valid—short-lived consolidations are auto-filtered.
🔵 KEY FEATURES
Detects low volatility market phases using ADX logic (crosses under "Volatility Threshold Input").
Automatically plots adaptive consolidation zones with upper and lower boundary lines.
Includes dynamic midline to visualize the price average inside the range.
Visual range is filled with a progressive gradient to reflect distance between highs and lows.
When the range is active, the indicator accumulates volume delta (Buy - Sell volume) .
Upon breakout, the total volume delta is displayed at the midpoint , providing insight into market sentiment during the consolidation phase.
Filters out weak or short-lived consolidations under 15 bars.
🔵 HOW TO USE
Spot ranging or compression zones with minimal effort.
Use breakouts with volume delta bias to assess the strength or weakness of moves.
Combine with trend-following tools or volume-based confirmation for stronger setups.
Apply to higher timeframes for macro consolidation tracking .
🔵 CONCLUSION
Consolidation Range now brings together volatility filtering and directional volume delta into one smart module. This hybrid logic allows traders to not only identify balance zones but also understand who was in control during the buildup—offering a sharper edge for breakout and trend continuation strategies.
Long Wick Detector [LuxAlgo]The Long Wick Detector tool allows traders to identify candle wicks longer than a user-defined volatility threshold. This makes it useful for spotting zones with high supply or demand.
The tool displays mitigated and unmitigated levels and changes the color of the candles based on wick size and level breakouts.
🔶 USAGE
By default, the tool displays long mitigated and unmitigated candle wicks, with a maximum duration for an unmitigated long wick of 1,000 bars. What does all this mean?
🔹 Wick Threshold
Traders can adjust the volatility threshold to identify long wicks, with a higher threshold detecting more significant wicks.
As we can see in the image above, the tool detects more wicks with a smaller threshold compared to a higher one.
🔹 Level %
Traders can choose the percentage of the wick at which the level is located. By default, the level is displayed at the extremes of the wick. This parameter accepts values between 0 and 100.
100: extreme of the wick
50: middle of the wick
0: start of the wick
🔹 Max Duration
This parameter allows traders to specify the number of bars for the levels. The tool will only display mitigated or unmitigated levels up to the specified number of bars.
As shown in the above image, a longer duration allows more room for mitigation, displaying more levels.
🔹 Colored Candles
The tool allows for color customization using two parameters from the settings panel. The chart shows the different outputs.
The setting "Wick-Based Transparency" makes candles with smaller wicks less visible and candles with longer wicks more visible.
On the other hand, "Breakout-Based Color" changes the base color of the candles based on the mitigation of long wicks. When the price breaks above a detected top wick, the bullish color is used. When the price breaks below a detected bottom wick, the bearish color is used.
🔶 SETTINGS
Wick Threshold: The volatility threshold for wick detection. Use a smaller value to detect smaller wicks.
Level %: Placement of the plotted level relative to the wick.
Max Duration: The maximum duration in bars of mitigated wicks.
Mitigated Wicks: Enable or disable mitigated wicks.
🔹 Style
Wick Based Transparency: Make candles with smaller wicks more transparent and candles with longer wicks more solid.
Breakout Based Color: Change the base color based on wick mitigation.
Bullish & Bearish Colors
Canuck Trading IndicatorOverview
The Canuck Trading Indicator is a versatile, overlay-based technical analysis tool designed to assist traders in identifying potential trading opportunities across various timeframes and market conditions. By combining multiple technical indicators—such as RSI, Bollinger Bands, EMAs, VWAP, MACD, Stochastic RSI, ADX, HMA, and candlestick patterns—the indicator provides clear visual signals for bullish and bearish entries, breakouts, long-term trends, and options strategies like cash-secured puts, straddles/strangles, iron condors, and short squeezes. It also incorporates 20-day and 200-day SMAs to detect Golden/Death Crosses and price positioning relative to these moving averages. A dynamic table displays key metrics, and customizable alerts help traders stay informed of market conditions.
Key Features
Multi-Timeframe Adaptability: Automatically adjusts parameters (e.g., ATR multiplier, ADX period, HMA length) based on the chart's timeframe (minute, hourly, daily, weekly, monthly) for optimal performance.
Comprehensive Signal Generation: Identifies short-term entries, breakouts, long-term bullish trends, and options strategies using a combination of momentum, trend, volatility, and candlestick patterns.
Candlestick Pattern Detection: Recognizes bullish/bearish engulfing, hammer, shooting star, doji, and strong candles for precise entry/exit signals.
Moving Average Analysis: Plots 20-day and 200-day SMAs, detects Golden/Death Crosses, and evaluates price position relative to these averages.
Dynamic Table: Displays real-time metrics, including zone status (bullish, bearish, neutral), RSI, MACD, Stochastic RSI, short/long-term trends, candlestick patterns, ADX, ROC, VWAP slope, and MA positioning.
Customizable Alerts: Over 20 alert conditions for entries, exits, overbought/oversold warnings, and MA crosses, with actionable messages including ticker, price, and suggested strategies.
Visual Clarity: Uses distinct shapes, colors, and sizes to plot signals (e.g., green triangles for bullish entries, red triangles for bearish entries) and overlays key levels like EMA, VWAP, Bollinger Bands, support/resistance, and HMA.
Options Strategy Signals: Suggests opportunities for selling cash-secured puts, straddles/strangles, iron condors, and capitalizing on short squeezes.
How to Use
Add to Chart: Apply the indicator to any TradingView chart by selecting "Canuck Trading Indicator" from the Pine Script library.
Interpret Signals:
Bullish Signals: Green triangles (short-term entry), lime diamonds (breakout), blue circles (long-term entry).
Bearish Signals: Red triangles (short-term entry), maroon diamonds (breakout).
Options Strategies: Purple squares (cash-secured puts), yellow circles (straddles/strangles), orange crosses (iron condors), white arrows (short squeezes).
Exits: X-cross shapes in corresponding colors indicate exit signals.
Monitor: Gray circles suggest holding cash or monitoring for setups.
Review Table: Check the top-right table for real-time metrics, including zone status, RSI, MACD, trends, and MA positioning.
Set Alerts: Configure alerts for specific signals (e.g., "Short-Term Bullish Entry" or "Golden Cross") to receive notifications via TradingView.
Adjust Inputs: Customize input parameters (e.g., RSI period, EMA length, ATR period) to suit your trading style or market conditions.
Input Parameters
The indicator offers a wide range of customizable inputs to fine-tune its behavior:
RSI Period (default: 14): Length for RSI calculation.
RSI Bullish Low/High (default: 35/70): RSI thresholds for bullish signals.
RSI Bearish High (default: 65): RSI threshold for bearish signals.
EMA Period (default: 15): Main EMA length (15 for day trading, 50 for swing).
Short/Long EMA Length (default: 3/20): For momentum oscillator.
T3 Smoothing Length (default: 5): Smooths momentum signals.
Long-Term EMA/RSI Length (default: 20/15): For long-term trend analysis.
Support/Resistance Lookback (default: 5): Periods for support/resistance levels.
MACD Fast/Slow/Signal (default: 12/26/9): MACD parameters.
Bollinger Bands Period/StdDev (default: 15/2): BB settings.
Stochastic RSI Period/Smoothing (default: 14/3/3): Stochastic RSI settings.
Uptrend/Short-Term/Long-Term Lookback (default: 2/2/5): Candles for trend detection.
ATR Period (default: 14): For volatility and price targets.
VWAP Sensitivity (default: 0.1%): Threshold for VWAP-based signals.
Volume Oscillator Period (default: 14): For volume surge detection.
Pattern Detection Threshold (default: 0.3%): Sensitivity for candlestick patterns.
ROC Period (default: 3): Rate of change for momentum.
VWAP Slope Period (default: 5): For VWAP trend analysis.
TradingView Publishing Compliance
Originality: The Canuck Trading Indicator is an original script, combining multiple technical indicators and custom logic to provide unique trading signals. It does not replicate existing public scripts.
No Guaranteed Profits: This indicator is a tool for technical analysis and does not guarantee profits. Trading involves risks, and users should conduct their own research and risk management.
Clear Instructions: The description and usage guide are detailed and accessible, ensuring users understand how to apply the indicator effectively.
No External Dependencies: The script uses only built-in Pine Script functions (e.g., ta.rsi, ta.ema, ta.vwap) and requires no external libraries or data sources.
Performance: The script is optimized for performance, using efficient calculations and adaptive parameters to minimize lag on various timeframes.
Visual Clarity: Signals are plotted with distinct shapes and colors, and the table provides a concise summary of market conditions, enhancing usability.
Limitations and Risks
Market Conditions: The indicator may generate false signals in choppy or low-liquidity markets. Always confirm signals with additional analysis.
Timeframe Sensitivity: Performance varies by timeframe; test settings on your preferred chart (e.g., 5-minute for day trading, daily for swing trading).
Risk Management: Use stop-losses and position sizing to manage risk, as suggested in alert messages (e.g., "Stop -20%").
Options Trading: Options strategies (e.g., straddles, iron condors) carry unique risks; consult a financial advisor before trading.
Feedback and Support
For questions, suggestions, or bug reports, please leave a comment on the TradingView script page or contact the author via TradingView. Your feedback helps improve the indicator for the community.
Disclaimer
The Canuck Trading Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation
**Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet.
## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!!
## Overview
The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes.
### Key Features
- **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously
- **Dual Channel System**: Separate parameter sets for long and short positions
- **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters
- **Machine Learning Moving Average**: Adaptive prediction-based channels
- **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes
- **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings
- **Webhook Integration**: Compatible with external trading bots and platforms
### Strategy Components
| Component | Description |
|---------|-------------|
| **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions |
| **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands |
| **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points |
| **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches |
| **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals |
| **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes |
### Note for Novice Users
This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure:
1. **Indicator** – gives the initial signal
2. **Entry strategy** – decides when to open a trade
3. **Exit strategy** – defines when to close it
4. **Trend confirmation** – ensures the trade follows the market direction
5. **Filters** – cuts out noise and avoids weak setups
6. **Risk management** – controls losses and protects your capital
To tune it for a different pair, you'll need to start from scratch:
1. Select the timeframe (candle size)
2. Turn off all filters and trend entry/exit confirmations
3. Choose a channel type, channel source and entry strategy
4. Adjust risk parameters
5. Tune long and short settings for the channel
6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV
This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability.
### Default Strategy values
Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle
Filters are off by default: Try to play with it to understand how it works
## Configuration Guide
### General Settings
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Long Positions** | Enable or disable long trades | Enabled |
| **Short Positions** | Enable or disable short trades | Enabled |
| **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled |
| **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) |
| **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) |
The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements.
### Multi-Timeframe Settings
1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section
2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style:
- Timeframe 1: Default is now 15 minutes (intraday confirmation)
- Timeframe 2: Default is 4 hours (trend direction)
3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose:
- The desired timeframe (current, mtf1, or mtf2)
- The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4)
### Entry Strategies
- **Breakout**: Enter when price breaks above/below the channel
- **Pullback**: Enter when price pulls back to the channel
- **Mean Reversion**: Enter when price is extended from the channel
You can enable different strategies for long and short positions.
### Core Components
### Risk Management
- **Position Size**: Control risk with percentage-based position sizing
- **Stop Loss Options**:
- Fixed: Set a specific price or percentage from entry
- ATR-based: Dynamic stop-loss based on market volatility
- Swing: Uses recent swing high/low points
- **Take Profit**: Multiple targets with percentage allocation
- **Trailing Stop**: Dynamic stop that follows price movement
## Advanced Usage Strategies
### Moving Average Type Selection Guide
- **SMA**: More stable in choppy markets, good for higher timeframes
- **EMA/WMA**: More responsive to recent price changes, better for entry signals
- **VWMA**: Adds volume weighting for stronger trends, use with Volume filter
- **HMA**: Balance between responsiveness and noise reduction, good for volatile markets
### Multi-Timeframe Strategy Approaches
- **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries
- **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1
- **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings
### Market Condition Optimization
| Market Condition | Recommended Settings |
|------------------|----------------------|
| **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe |
| **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) |
| **Volatile** | Increase ATR multipliers, use HMA for moving averages |
| **Low Volatility** | Decrease noise parameters, use pullback strategy |
## Webhook Integration
The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview.
The webhook payload includes all necessary parameters for automated execution:
- Entry price and direction
- Stop loss and take profit levels
- Position size
- Custom identifier for webhook routing
## Performance Optimization Tips
1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing
2. **Adjust One Component at a Time**: Make incremental changes and test the impact
3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table
4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes)
5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters
## Common Setups
### Crypto Trend-Following
- MLMA with EMA or HMA
- Higher RSI thresholds (75/25)
- KEMAD filter on mtf1
- Breakout entry strategy
### Stock Swing Trading
- MLMA with SMA for stability
- Volume filter with higher threshold
- KEMAD with increased filter order
- Pullback entry strategy
### Forex Scalping
- MLMA with WMA and lower noise parameter
- RSI filter on current timeframe
- Use highest timeframe for trend direction only
- Mean Reversion strategy
## Webhook Configuration
- **Benefits**:
- Automated trade execution without manual intervention
- Immediate response to market conditions
- Consistent execution of your strategy
- **Implementation Notes**:
- Requires proper webhook configuration on your exchange or platform
- Test thoroughly with small position sizes before full deployment
- Consider latency between signal generation and execution
### Backtesting Period
Define a specific historical period to evaluate the bot's performance:
| Setting | Description | Default Value |
|---------|-------------|---------------|
| **Start Date** | Beginning of backtest period | January 1, 2025 |
| **End Date** | End of backtest period | December 31, 2026 |
- **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets)
- **Limitation**: Past performance doesn't guarantee future results
## Entry and Exit Strategies
### Dual-Channel System
A key innovation of the Bober XM is its dual-channel approach:
- **Independent Parameters**: Each trade direction has its own channel settings
- **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends
- **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions
This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden.
### Channel Types
#### 1. Keltner Channels
Traditional volatility-based channels using EMA and ATR:
| Setting | Long Default | Short Default |
|---------|--------------|---------------|
| **EMA Length** | 37 | 20 |
| **ATR Length** | 13 | 17 |
| **Multiplier** | 1.4 | 1.9 |
| **Source** | low | high |
- **Strengths**:
- Reliable in trending markets
- Less prone to whipsaws than Bollinger Bands
- Clear visual representation of volatility
- **Weaknesses**:
- Can lag during rapid market changes
- Less effective in choppy, non-trending markets
#### 2. Machine Learning Moving Average (MLMA)
Advanced predictive model using kernel regression (RBF kernel):
| Setting | Description | Options |
|---------|-------------|--------|
| **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) |
| **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA |
| **Trend Source** | Price data used for trend determination | Any price source (close default) |
| **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) |
| **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) |
| **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) |
| **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) |
- **Strengths**:
- Predictive rather than reactive
- Adapts quickly to changing market conditions
- Better at identifying trend reversals early
- **Weaknesses**:
- More computationally intensive
- Requires careful parameter tuning
- Can be sensitive to input data quality
### Entry Strategies
| Strategy | Description | Ideal Market Conditions |
|----------|-------------|-------------------------|
| **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends |
| **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks |
| **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets |
#### Breakout Strategy (Default)
- **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band
- **Strengths**: Captures strong momentum moves, performs well in trending markets
- **Weaknesses**: Can lead to late entries, higher risk of false breakouts
- **Optimization Tips**:
- Increase channel multiplier for fewer but more reliable signals
- Combine with volume confirmation for better accuracy
#### Pullback Strategy
- **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks
- **Strengths**: Better entry prices, lower risk, higher probability setups
- **Weaknesses**: Misses some strong moves, requires clear trend identification
- **Optimization Tips**:
- Use with trend filters to confirm overall direction
- Adjust middle band calculation for market volatility
#### Mean Reversion Strategy
- **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean
- **Strengths**: Excellent entry prices, works well in ranging markets
- **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend
- **Optimization Tips**:
- Implement strong trend filters to avoid counter-trend trades
- Use smaller position sizes due to higher risk nature
### Confirmation Indicators
#### Pivot Point SuperTrend
Combines pivot points with ATR-based SuperTrend for trend confirmation:
| Setting | Default Value |
|---------|---------------|
| **Pivot Period** | 25 |
| **ATR Factor** | 2.2 |
| **ATR Period** | 41 |
- **Function**: Identifies significant market turning points and confirms trend direction
- **Implementation**: Requires price to respect the SuperTrend line for trade confirmation
#### Weighted Moving Average (WMA)
Provides additional confirmation layer for entries:
| Setting | Default Value |
|---------|---------------|
| **Period** | 15 |
| **Source** | ohlc4 (average of Open, High, Low, Close) |
- **Function**: Confirms trend direction and filters out low-quality signals
- **Implementation**: Price must be above WMA for longs, below for shorts
### Exit Strategies
#### On-Balance Volume (OBV) Based Exits
Uses volume flow to identify potential reversals:
| Setting | Default Value |
|---------|---------------|
| **Source** | ohlc4 |
| **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) |
| **Period** | 22 |
- **Function**: Identifies divergences between price and volume to exit before reversals
- **Implementation**: Exits when OBV crosses its moving average in the opposite direction
- **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes:
- **SMA**: Traditional simple average, equal weight to all periods
- **EMA**: More weight to recent data, responds faster to price changes
- **WMA**: Weighted by recency, smoother than EMA
- **RMA**: Similar to EMA but smoother, reduces noise
- **VWMA**: Factors in volume, helpful for OBV confirmation
- **HMA**: Reduces lag while maintaining smoothness (default)
#### ADX Exit Confirmation
Uses Average Directional Index to confirm trend exhaustion:
| Setting | Default Value |
|---------|---------------|
| **ADX Threshold** | 35 |
| **ADX Smoothing** | 60 |
| **DI Length** | 60 |
- **Function**: Confirms trend weakness before exiting positions
- **Implementation**: Requires ADX to drop below threshold or DI lines to cross
## Filter System
### RSI Filter
- **Function**: Controls entries based on momentum conditions
- **Parameters**:
- Period: 15 (default)
- Overbought level: 71
- Oversold level: 23
- Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h)
- Customizable price source (open, high, low, close, hl2, hlc3, ohlc4)
- **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold
### Volatility Filter
- **Function**: Prevents trading during excessive market volatility
- **Parameters**:
- Measure: ATR (Average True Range)
- Period: Customizable (default varies by timeframe)
- Threshold: Adjustable multiplier
- Multi-timeframe support
- Customizable price source
- **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility
### Volume Filter
- **Function**: Ensures adequate market liquidity for trades
- **Parameters**:
- Threshold: 0.4× average (default)
- Measurement period: 5 (default)
- Moving average type: Customizable (HMA default)
- Multi-timeframe support
- Customizable price source
- **Implementation**: Requires current volume to exceed threshold × average volume
### Bollinger Bands Filter
- **Function**: Controls entries based on price relative to statistical boundaries
- **Parameters**:
- Period: Customizable
- Standard deviation multiplier: Adjustable
- Moving average type: Customizable
- Multi-timeframe support
- Customizable price source
- **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy
### KEMAD Filter (Kalman EMA Distance)
- **Function**: Advanced trend confirmation using Kalman filter algorithm
- **Parameters**:
- Process Noise: 0.35 (controls smoothness)
- Measurement Noise: 24 (controls reactivity)
- Filter Order: 6 (higher = more smoothing)
- ATR Length: 8 (for bandwidth calculation)
- Upper Multiplier: 2.0 (for long signals)
- Lower Multiplier: 2.7 (for short signals)
- Multi-timeframe support
- Customizable visual indicators
- **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands
## Risk Management System
### Position Sizing
Automatically calculates position size based on account equity and risk parameters:
| Setting | Default Value |
|---------|---------------|
| **Risk % of Equity** | 50% |
- **Implementation**:
- Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance)
- Adjusts automatically based on volatility and stop placement
- **Best Practices**:
- Start with lower risk percentages (1-2%) until strategy is proven
- Consider reducing risk during high volatility periods
### Stop-Loss Methods
Multiple stop-loss calculation methods with separate configurations for long and short positions:
| Method | Description | Configuration |
|--------|-------------|---------------|
| **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 |
| **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% |
| **PIP-Based** | Fixed currency unit distance | 10.0 pips |
- **Implementation Notes**:
- ATR-based stops adapt to changing market volatility
- Percentage stops maintain consistent risk exposure
- PIP-based stops provide precise control in stable markets
### Trailing Stops
Locks in profits by adjusting stop-loss levels as price moves favorably:
| Setting | Default Value |
|---------|---------------|
| **Stop-Loss %** | 1.5% |
| **Activation Threshold** | 2.1% |
| **Trailing Distance** | 1.4% |
- **Implementation**:
- Initial stop remains fixed until profit reaches activation threshold
- Once activated, stop follows price at specified distance
- Locks in profit while allowing room for normal price fluctuations
### Risk-Reward Parameters
Defines the relationship between risk and potential reward:
| Setting | Default Value |
|---------|---------------|
| **Risk-Reward Ratio** | 1.4 |
| **Take Profit %** | 2.4% |
| **Stop-Loss %** | 1.5% |
- **Implementation**:
- Take profit distance = Stop loss distance × Risk-reward ratio
- Higher ratios require fewer winning trades for profitability
- Lower ratios increase win rate but reduce average profit
### Filter Combinations
The strategy allows for simultaneous application of multiple filters:
- **Recommended Combinations**:
- Trending markets: RSI + KEMAD filters
- Ranging markets: Bollinger Bands + Volatility filters
- All markets: Volume filter as minimum requirement
- **Performance Impact**:
- Each additional filter reduces the number of trades
- Quality of remaining trades typically improves
- Optimal combination depends on market conditions and timeframe
### Multi-Timeframe Filter Applications
| Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) |
|-------------|-------------------|-------------|------------|
| RSI | Quick entries/exits | Intraday trend | Overall trend |
| Volume | Immediate liquidity | Sustained support | Market participation |
| Volatility | Entry timing | Short-term risk | Regime changes |
| KEMAD | Precise signals | Trend confirmation | Major reversals |
## Visual Indicators and Chart Analysis
The bot provides comprehensive visual feedback on the chart:
- **Channel Bands**: Keltner or MLMA bands showing potential support/resistance
- **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points
- **Entry/Exit Markers**: Annotations showing actual trade entries and exits
- **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels
These visual elements allow for:
- Real-time strategy assessment
- Post-trade analysis and optimization
- Educational understanding of the strategy logic
## Implementation Guide
### TradingView Setup
1. Load the script in TradingView Pine Editor
2. Apply to your preferred chart and timeframe
3. Adjust parameters based on your trading preferences
4. Enable alerts for webhook integration
### Webhook Integration
1. Configure webhook URL in TradingView alerts
2. Set up receiving endpoint on your trading platform
3. Define message format matching the bot's output
4. Test with small position sizes before full deployment
### Optimization Process
1. Backtest across different market conditions
2. Identify parameter sensitivity through multiple tests
3. Focus on risk management parameters first
4. Fine-tune entry/exit conditions based on performance metrics
5. Validate with out-of-sample testing
## Performance Considerations
### Strengths
- Adaptability to different market conditions through dual channels
- Multiple layers of confirmation reducing false signals
- Comprehensive risk management protecting capital
- Machine learning integration for predictive edge
### Limitations
- Complex parameter set requiring careful optimization
- Potential over-optimization risk with so many variables
- Computational intensity of MLMA calculations
- Dependency on proper webhook configuration for execution
### Best Practices
- Start with conservative risk settings (1-2% of equity)
- Test thoroughly in demo environment before live trading
- Monitor performance regularly and adjust parameters
- Consider market regime changes when evaluating results
## Conclusion
The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry.
### Market Asymmetry and Adaptive Approach
The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction.
### Targeted Backtesting Philosophy
It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead:
- Test specific market phases separately (bull markets, bear markets, range-bound periods)
- Regularly re-optimize parameters as market conditions change
- Focus on recent performance with higher weight than historical results
- Test across multiple timeframes to ensure robustness
### Multi-Timeframe Analysis as a Game-Changer
The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness:
- **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality
- **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries
- **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions
- **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries
The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Bollinger Bands ETSOverview
Bollinger Bands ETstyle (BB ETS) is an advanced volatility and breakout detection indicator, building upon the classic Bollinger Bands. This script introduces adaptive ATR-based band width smoothing and clear squeeze detection, making it a versatile tool for traders seeking more responsive and actionable volatility analysis.
Features
Dual Bollinger Bands: Plots both standard and outer bands around a configurable moving average, allowing visualization of typical and extreme volatility ranges.
ATR-Based Band Smoothing (Optional): When enabled, the bands automatically widen during low-volatility periods using the Average True Range (ATR), reducing false signals and making the bands more adaptive.
Squeeze Detection (Optional): Highlights periods when the bands contract below a user-defined threshold, signaling potential breakout setups. Squeeze periods are visually marked with a background highlight for easy identification.
Customizable Settings: Users can adjust band length, standard deviation multipliers, ATR parameters, and squeeze thresholds. Both ATR smoothing and squeeze detection can be toggled on or off.
Clean Chart Output: The indicator overlays directly on price with clear, distinguishable visuals for all features.
How It Works
The indicator calculates a moving average (basis) and plots upper and lower bands at user-selected standard deviations.
If ATR smoothing is enabled, the band width expands by a multiple of the ATR, adapting to real-time volatility.
The script computes the relative band width ("bandwidth"). When this falls below your chosen threshold, the background is highlighted to indicate a "squeeze"-a period of reduced volatility that often precedes breakouts.
How to Use
Trend & Volatility Analysis: Use the bands to identify overbought/oversold conditions and current market volatility. Price touching or crossing the outer bands may signal trend exhaustion or continuation.
Breakout Anticipation: Watch for background highlights indicating a squeeze. These periods suggest the market is coiling for a potential significant move.
Adaptive Sensitivity: Enable ATR smoothing to keep bands relevant during both calm and volatile markets, reducing false signals in low-volatility conditions.
Customization: Adjust all parameters in the settings to match your trading style and the asset’s behavior.
Limitations
The indicator is designed for standard price charts and may not perform as intended on non-standard chart types (such as Renko or Heikin Ashi).
As with all technical tools, best results are achieved when used alongside other forms of analysis.
Summary
Bollinger Bands ETstyle (BB ETS) offers a modern, adaptive approach to volatility and breakout analysis by combining classic bands with ATR-based smoothing and clear squeeze visualization. It is suitable for trend-following and breakout strategies, and requires no additional scripts-simply apply to your chart and adjust the settings as needed.
PowerHouse SwiftEdge AI v2.10 StrategyOverview
The PowerHouse SwiftEdge AI v2.10 Strategy is a sophisticated trading system designed to identify high-probability trade setups in forex, stocks, and cryptocurrencies. By combining multi-timeframe trend analysis, momentum signals, volume confirmation, and smart money concepts (Change of Character and Break of Structure ), this strategy offers traders a robust tool to capitalize on market trends while minimizing false signals. The strategy’s unique “AI” component analyzes trends across multiple timeframes to provide a clear, actionable dashboard, making it accessible for both novice and experienced traders. The strategy is fully customizable, allowing users to tailor its filters to their trading style.
What It Does
This strategy generates Buy and Sell signals based on a confluence of technical indicators and smart money concepts. It uses:
Multi-Timeframe Trend Analysis: Confirms the market’s direction by analyzing trends on the 1-hour (60M), 4-hour (240M), and daily (D) timeframes.
Momentum Filter: Ensures trades align with strong price movements to avoid choppy markets.
Volume Filter: Validates signals with above-average volume to confirm market participation.
Breakout Filter: Requires price to break key levels for added confirmation.
Smart Money Signals (CHoCH/BOS): Identifies reversals (CHoCH) and trend continuations (BOS) based on pivot points.
AI Trend Dashboard: Summarizes trend strength, confidence, and predictions across timeframes, helping traders make informed decisions without needing to analyze complex data manually.
The strategy also plots dynamic support and resistance trendlines, take-profit (TP) levels, and “Get Ready” signals to alert users of potential setups before they fully develop. Trades are executed with predefined take-profit and stop-loss levels for disciplined risk management.
How It Works
The strategy integrates multiple components to create a cohesive trading system:
Multi-Timeframe Trend Analysis:
The strategy evaluates trends on three timeframes (1H, 4H, Daily) using Exponential Moving Averages (EMA) and Volume-Weighted Average Price (VWAP). A trend is considered bullish if the price is above both the EMA and VWAP, bearish if below, or neutral otherwise.
Signals are only generated when the trend on the user-selected higher timeframe aligns with the trade direction (e.g., Buy signals require a bullish higher timeframe trend). This reduces noise and ensures trades follow the broader market context.
Momentum Filter:
Measures the percentage price change between consecutive bars and compares it to a volatility-adjusted threshold (based on the Average True Range ). This ensures trades are taken only during significant price movements, filtering out low-momentum conditions.
Volume Filter (Optional):
Checks if the current volume exceeds a long-term average and shows positive short-term volume change. This confirms strong market participation, reducing the risk of false breakouts.
Breakout Filter (Optional):
Requires the price to break above (for Buy) or below (for Sell) recent highs/lows, ensuring the signal aligns with a structural shift in the market.
Smart Money Concepts (CHoCH/BOS):
Change of Character (CHoCH): Detects potential reversals when the price crosses under a recent pivot high (for Sell) or over a recent pivot low (for Buy) with a bearish or bullish candle, respectively.
Break of Structure (BOS): Confirms trend continuations when the price breaks below a recent pivot low (for Sell) or above a recent pivot high (for Buy) with strong momentum.
These signals are plotted as horizontal lines with labels, making it easy to visualize key levels.
AI Trend Dashboard:
Combines trend direction, momentum, and volatility (ATR) across timeframes to calculate a trend score. Scores above 0.5 indicate an “Up” trend, below -0.5 indicate a “Down” trend, and otherwise “Neutral.”
Displays a table summarizing trend strength (as a percentage), AI confidence (based on trend alignment), and Cumulative Volume Delta (CVD) for market context.
A second table (optional) shows trend predictions for 1H, 4H, and Daily timeframes, helping traders anticipate future market direction.
Dynamic Trendlines:
Plots support and resistance lines based on recent swing lows and highs within user-defined periods (shortTrendPeriod, longTrendPeriod). These lines adapt to market conditions and are colored based on trend strength.
Why This Combination?
The PowerHouse SwiftEdge AI v2.10 Strategy is original because it seamlessly integrates traditional technical analysis (EMA, VWAP, ATR, volume) with smart money concepts (CHoCH, BOS) and a proprietary AI-driven trend analysis. Unlike standalone indicators, this strategy:
Reduces False Signals: By requiring confluence across trend, momentum, volume, and breakout filters, it minimizes trades in choppy or low-conviction markets.
Adapts to Market Context: The ATR-based momentum threshold adjusts dynamically to volatility, ensuring signals remain relevant in both trending and ranging markets.
Simplifies Decision-Making: The AI dashboard distills complex multi-timeframe data into a user-friendly table, eliminating the need for manual analysis.
Leverages Smart Money: CHoCH and BOS signals capture institutional price action patterns, giving traders an edge in identifying reversals and continuations.
The combination of these components creates a balanced system that aligns short-term trade entries with longer-term market trends, offering a unique blend of precision, adaptability, and clarity.
How to Use
Add to Chart:
Apply the strategy to your TradingView chart on a liquid symbol (e.g., EURUSD, BTCUSD, AAPL) with a timeframe of 60 minutes or lower (e.g., 15M, 60M).
Configure Inputs:
Pivot Length: Adjust the number of bars (default: 5) to detect pivot highs/lows for CHoCH/BOS signals. Higher values reduce noise but may delay signals.
Momentum Threshold: Set the base percentage (default: 0.01%) for momentum confirmation. Increase for stricter signals.
Take Profit/Stop Loss: Define TP and SL in points (default: 10 each) for risk management.
Higher/Lower Timeframe: Choose timeframes (60M, 240M, D) for trend filtering. Ensure the chart timeframe is lower than or equal to the higher timeframe.
Filters: Enable/disable momentum, volume, or breakout filters to suit your trading style.
Trend Periods: Set shortTrendPeriod (default: 30) and longTrendPeriod (default: 100) for trendline plotting. Keep below 2000 to avoid buffer errors.
AI Dashboard: Toggle Enable AI Market Analysis to show/hide the prediction table and adjust its position.
Interpret Signals:
Buy/Sell Labels: Green "Buy" or red "Sell" labels indicate trade entries with predefined TP/SL levels plotted.
Get Ready Signals: Yellow "Get Ready BUY" or orange "Get Ready SELL" labels warn of potential setups.
CHoCH/BOS Lines: Aqua (CHoCH Sell), lime (CHoCH Buy), fuchsia (BOS Sell), or teal (BOS Buy) lines mark key levels.
Trendlines: Green/lime (support) or fuchsia/purple (resistance) dashed lines show dynamic support/resistance.
AI Dashboard: Check the top-right table for trend strength, confidence, and CVD. The optional bottom table shows trend predictions (Up, Down, Neutral).
Backtest and Trade:
Use TradingView’s Strategy Tester to evaluate performance. Adjust TP/SL and filters based on results.
Trade manually based on signals or automate with TradingView alerts (set alerts for Buy/Sell labels).
Originality and Value
The PowerHouse SwiftEdge AI v2.10 Strategy stands out by combining multi-timeframe analysis, smart money concepts, and an AI-driven dashboard into a single, user-friendly system. Its adaptive momentum threshold, robust filtering, and clear visualizations empower traders to make confident decisions without needing advanced technical knowledge. Whether you’re a day trader or swing trader, this strategy provides a versatile, data-driven approach to navigating dynamic markets.
Important Notes:
Risk Management: Always use appropriate position sizing and risk management, as the strategy’s TP/SL levels are customizable.
Symbol Compatibility: Test on liquid symbols with sufficient historical data (at least 2000 bars) to avoid buffer errors.
Performance: Backtest thoroughly to optimize settings for your market and timeframe.
