Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction
The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”)
At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market.
Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis.
In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s.
These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium.
In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines.
Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins.
This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors.
From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90.
Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form.
Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it.
🔵 How to Use
The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis.
Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces.
When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90).
This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur.
A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes.
🟣 Identifying the Anchor Point
The first step is recognizing a valid flat zone on the Kijun-sen.
When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count.
From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead.
🟣 Reading the Timing Lines
Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur.
At these nodes, the market may :
Enter a consolidation or minor correction phase.
Develop range-bound movement.
Or simply alter the speed and intensity of its move.
These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm.
🟣 Applying Time Analysis
The indicator’s primary use is to observe temporal order, not to predict price direction.
By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA.
For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge.
🟣 Combining with Other Tools
The indicator does not generate buy/sell signals on its own.
Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes.
In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis.
🔵 Settings
🟣 Logical Settings
KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors.
Flat Event Filter : Controls how flat segments are validated before triggering a new timing event.
All : Every flat triggers a new Timing Box.
Automatic : Only flats longer than the historical average are used (recommended).
Custom : User manually defines the minimum flat length via Custom Count.
Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing.
🟣 Ichimoku Settings
TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9.
KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26.
Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52.
Shift Lines : Offsets cloud projection into the future. Default = 26.
🟣 Display Settings
Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud.
They can also customize the color of each element to match personal chart preferences and improve visibility.
🔵 Conclusion
This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins.
The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop.
Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension.
Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
波浪分析
ダウ理論 Dow Theory – Slim HH/LL Labels + BOS/CHOCH + Trend (TAKA)ダウ理論の相場構造を“見える化”するインジケーター。
HH/LL（必要ならHL/LH）を自動ラベル化＋ジグザグ描画、BOS/CHOCHを検出。
右上に Uptrend / Downtrend / Range を常時表示。全時間足・全銘柄対応。
■主な機能
・HH/LL（間引き可）＋ジグザグ
・BOS（Break of Structure）/ CHOCH（転換）通知
・小波の自動フィルタ：変化率(%) と ATR×
・ADXフィルタでレンジ時の誤判定を抑制
・ライト/ダーク両モード視認性調整
■使い方（主要パラメータ）
・Pivot left/right：スイング感度（数値↑＝ゆっくり＆精度高め）
・Only HH/LL：要所だけ表示
・Min % / ATR×：小さすぎる波を間引き
・ADX 閾値：20〜25推奨（レンジ多い銘柄は上げる）
・表示ラベル上限：古いラベルを自動整理
■注意
・ピボットは right 本分が経過してから確定（確定足ベース）
・アラートは「Any alert()」で有効化
押し目買い/戻り売りの型づくり、構造学習、シナリオ共有に。
Granville × Dow Theory 併用推奨。
上位足でEMAトレンド（20/30/40）を確認、
下位足では本インジのHL/LH→HH/LLの継続サインを待って、EMA帯の押し/戻りで入る。
＝グランビル#2（押し目買い）/#6（戻り売り）を“構造＋平均線”の合流で狙う運用。
Dow Theory structure visualizer (indicator, not a strategy).
Auto labels HH/LL (optional HL/LH), draws a zigzag, detects BOS/CHOCH,
and shows Uptrend/Downtrend/Range at the top-right. Works on all timeframes & symbols.
■ Features
- HH/LL labels (filterable) + zigzag
- BOS (Break of Structure) / CHOCH alerts
- Noise filtering by % change and ATR multiplier
- ADX filter to suppress signals during ranges
- Optimized for light/dark modes
■ How to use (key inputs)
- Pivot left/right: swing sensitivity (higher = slower/cleaner)
- Only HH/LL: show key swings only
- Min % / ATR×: ignore tiny swings
- ADX threshold: 20–25 recommended
- Max labels: auto prune old labels
■ Notes
- Pivots confirm after ‘right’ bars (confirmed on closed bars)
- Enable alerts via “Any alert()”
Ideal for buy-the-dip / sell-the-rally planning and structure training
Granville × Dow Theory recommended.
Confirm the higher-timeframe EMA trend (20/30/40), then on the lower timeframe wait for this indicator’s continuation signal—HL→HH in uptrends or LH→LL in downtrends—and enter on pullbacks/returns to the EMA band.
In short, target Granville #2 (buy the dip) and #6 (sell the rally) at the confluence of structure + moving averages
Multi-Timeframe MA - TCMasterThis indicator displays up to four moving averages from different timeframes on a single chart.
It’s designed for traders who want to track higher-timeframe trends while analyzing price action on lower timeframes — a key technique in multi-timeframe confluence trading.
You can freely customize the type, length, timeframe, and color for each moving average line.
⚙️ Features
4 configurable Moving Averages (each with its own type, length, and timeframe).
Supported types:
SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA.
Real-time values are fetched from higher timeframes using request.security() (no repaint).
Individual visibility toggle and line width for each MA.
Dynamic info label shows current distance between price and each MA.
Built with Pine Script v6, ensuring optimal performance and flexibility.
📊 Typical Use Cases
Identify trend direction across multiple timeframes.
Confirm entries/exits using higher timeframe trend alignment.
Spot potential reversal or continuation zones when short-term price interacts with long-term MAs.
Build confluence setups for swing, scalp, or intraday strategies.
🧠 Example Setup
MA Type Length Timeframe Purpose
MA #1 SMA 200 1m Micro trend
MA #2 EMA 200 5m Short-term trend
MA #3 EMA 200 15m Medium trend
MA #4 SMA 200 30m Macro trend
🔔 Tips
Combine with oscillators (e.g., RSI, Stoch, MACD) for stronger confluence.
Use color coding to distinguish short vs long timeframe trends.
Consider adding alerts when price crosses any MA (can be extended easily in code).
⚠️ Notes
All higher-timeframe data is handled safely using lookahead=barmerge.lookahead_off to prevent repainting.
Label updates only on the latest bar for efficiency.
VWMA, DEMA, TEMA, and HMA are computed via internal formulas for compatibility with Pine Script v6.
🏁 Summary
Multi-Timeframe MA is a powerful tool for traders who want to merge the clarity of moving averages with the precision of multi-timeframe analysis.
It helps you see the bigger picture without switching charts — perfect for intraday, swing, and trend-following strategies.
WaveTrend Oscillator v3 [JopAlgo]WaveTrend Oscillator v3 — reversal focus with confirmation, not guesswork
Core idea
WaveTrend (WT) gives you a smoothed oscillator pair (WT1 and WT2) with overbought/oversold rails and a momentum histogram. This v3 adds two filters so reversals are earned, not guessed:
Heikin-Ashi trend check → only take crosses with candle bias
Reversal Confidence Score (RCS) → only fire when momentum vs ATR is strong enough
Add an optional divergence check so you only act when price and oscillator disagree into extremes.
What you’ll see
WT1 (green) and WT2 (red)
Histogram = WT1 − WT2 (gray columns)
Rails: Overbought = +60, Oversold = −60, and the Zero line
Labels when all conditions align → Smart Buy (below) or Smart Sell (above)
Read it fast → Are we near +60/−60? Did WT1 cross WT2? Is the histogram expanding in that direction? Did a Smart label print?
How the signals are built
A signal prints only if all are true:
Cross → Bull: WT1 crosses up WT2; Bear: WT1 crosses down WT2
Extreme → Bull: WT1 below −60; Bear: WT1 above +60
RCS filter → |WT1 − WT2| scaled by ATR must be > threshold (default 80)
Heikin-Ashi agreement → HA close vs open points the same way as the cross
Divergence (lookback N) → Bull: oscillator makes lower low while price doesn’t; Bear: oscillator higher high while price doesn’t
Result → a reversal-grade setup, not a continuation ping.
How to use it (simple playbook)
Direction filter
If you want a pure reversal tool, keep the default rails (+60/−60) → you’ll wait for true extremes.
If you want more frequency, relax the rails (e.g., +50/−50) or lower RCS (e.g., 70 → 65). More signals → more noise.
Entry logic
Long reversal template
→ Price drives down into a value area edge (VAL/LVN)
→ WT1 < −60, WT1 ↗ WT2, RCS > threshold, HA bias up, bullish divergence
→ Enter on reclaim of the level or on the first higher-low after the cross
Short reversal template
→ Price pushes into VAH/HVN
→ WT1 > +60, WT1 ↘ WT2, RCS > threshold, HA bias down, bearish divergence
→ Enter on rejection and lower-high after the cross
Location first (always)
Use Volume Profile v3.2 (VAH/VAL/POC/LVNs) for where to act
Use Anchored VWAP (session/weekly/event) for who has control
No level → no trade. A WT flip into a level is better than one mid-range.
Risk & targets
Stops → beyond the sweep extreme or beyond the reclaimed level
Targets → ladder to next Fib/VP nodes (POC/HVNs, VA mid), then trail behind swings or the WT zero-line reclaim
Settings that matter (and how to tune)
WT Length (default 10) → core smoothing of the channel
→ Lower = faster turns; higher = calmer oscillator
WT EMA Smoothing (default 21) and Signal Smoothing (default 3)
→ Increase to reduce chop; decrease to react earlier
Overbought / Oversold (default +60/−60)
→ Tighten to +50/−50 for more frequent reversals; widen to +70/−70 for only the strongest
RCS Threshold (default 80)
→ Down to 70 for earlier triggers; up to 90 for only the punchiest turns
Divergence Lookback (default 5)
→ Shorter finds more local divs; longer finds bigger swings
Starter presets
Intraday (15m–1H) → WT 10/21, signal 3, rails ±60, RCS 80, div 5
Swing (2H–4H) → WT 14/28, signal 3–5, rails ±60/±70, RCS 85–90, div 7–9
Pattern cheat sheet
Double-dip divergence → oscillator prints a lower low near −60 while price holds a higher low → high-quality long if RCS/HA agree
Zero-line reclaim after a smart long → momentum shift; use it to trail stops or add on retest
Failure signal → cross fires but RCS < threshold or histogram shrinks back toward 0 into a level → stand down or cut quick
Overbought drift → WT pinned near +60/+70 without cross down → trend grind; don’t fade blindly
Best combos (kept simple)
Volume Profile v3.2 → take WT reversals at VAH/VAL/LVNs; target POC/HVNs
Anchored VWAP → WT cross with an AVWAP reclaim/reject is higher quality
CVDv1 (optional) → prefer flows that align with the reversal; avoid if absorption is fighting you
Common mistakes this helps you avoid
Fading every spike without RCS/HA confirmation
Taking reversals mid-range, far from levels
Treating divergence as timing (it’s context; you still need the cross + filter)
Ignoring the zero-line behavior after entry (weak follow-through)
Disclaimer
This indicator and write-up are for education only, not financial advice. Trading involves risk; results vary by market, venue, and settings. Test first, act at defined levels, and manage risk. No guarantees or warranties are provided.
Smooth Cloud + ZigZag VPOC CORE v6📌 Description
The Smooth Cloud + ZigZag VPOC indicator is designed to help traders visualize market structure and potential confluence zones.
Smooth Cloud: Built from smoothed moving averages (EMA, RMA, or HMA), this cloud highlights the underlying short-term trend by shading bullish and bearish phases.
Pivots (ZigZag style): Marks confirmed swing highs and lows, helping to identify support/resistance and breakout areas without repainting.
VPOC (Volume Point of Control): Plots the price level with the highest traded volume, either from a rolling lookback or anchored to a custom date. This often acts as a magnet or reaction level.
ATR Bands: Optional dynamic bands based on volatility to frame potential extension zones.
Signals & Alerts: Generates long/short labels when price breaks pivot levels in line with trend filters, with optional confluence from HTF trend, VPOC, and ATR.
This tool combines trend context, structure, and volume confluence in a single view to support decision-making.
✅ Notes
This script is intended for technical analysis and educational use only.
It does not provide financial advice or guaranteed outcomes.
Signals are purely analytical and should be combined with independent risk management.
Smooth Cloud + ZigZag VPOC📝 Indicator Description
The Smooth Cloud + ZigZag VPOC Indicator is a custom tool that combines three well-known concepts into one study:
Smooth Cloud Trend Filter – built from two smoothed EMAs, this visual “cloud” highlights the prevailing trend direction.
When the fast line is above the slow line, the background cloud shades teal (bullish bias).
When the fast line is below the slow line, the cloud shades red (bearish bias).
Confirmed ZigZag Pivots – plots non-repainting swing highs and swing lows using pivot confirmation. This helps traders see important structural turning points and potential breakout zones.
VPOC Approximation (Volume Point of Control) – within a lookback window, the indicator marks the price level with the highest traded volume. This level often acts as a magnet for price or an area of confluence.
Signals & Alerts
A long signal appears when price is trending up, breaks above the last confirmed pivot high, and (optionally) is above the VPOC line.
A short signal appears when price is trending down, breaks below the last confirmed pivot low, and (optionally) is below the VPOC line.
Alerts can be enabled to notify when these conditions occur.
Customization
Inputs allow adjusting the EMA lengths, smoothing factor, pivot sensitivity, and VPOC lookback.
Users can toggle on/off the cloud fill, pivot markers, bar coloring, and VPOC line to match their charting style.
✅ Notes (for compliance)
This script is for technical analysis and educational purposes only.
It does not provide financial advice or guaranteed results.
Signals are intended to highlight trend direction and breakout areas — traders should always confirm with their own risk management and strategy.
Cycle Momentum Filter [JopAlgo]Cycle Momentum Filter (CMF) — spot “when” to engage the market, on any timeframe
Markets breathe in cycles (expansion → contraction) while momentum and trend decide which moves actually travel. CMF is a compact filter that blends those ideas so you can answer two questions before you click:
Is this a good moment to take a trade? (cycle position)
If I take it, is there enough force behind the move to carry it? (momentum + trend)
CMF does not replace your levels—use it with your location tools (e.g., Volume Profile v3.2 and Anchored VWAP). It simply keeps you out of entries taken at the wrong part of the swing or against weak momentum.
(When you add screenshots: image #1 should label each sub-line and the green/yellow/red background; image #2 can show CMF turning green at VAL + AVWAP before a rotation back to POC.)
What you’re seeing (and how to read it at a glance)
CMF draws five sub-lines around a zero line, plus a background color:
Cycle Oscillator (blue): where you are in the swing. Above zero ≈ cycle crest side; below zero ≈ trough side.
ROC % (purple): short-term price acceleration. Above zero = positive momentum; below zero = negative.
MACD Histogram (orange): classic impulse measure (fast–slow EMA gap). Above zero = bullish impulse.
EWO (cyan): Elliott Wave Oscillator (EMA fast – EMA slow). Above zero = trend tilt up.
RSI-MA (gray, plotted as RSI−50): smoothed RSI relative to 50. Above zero = buyers have the relative strength.
Background color = the filter result:
Green → bullish window: cycle favors longs and momentum/trend/RS confirm.
Red → bearish window: mirror logic.
Yellow → neutral: at least one piece disagrees—do less, or wait for alignment.
For new traders: Every sub-line crossing above/below zero is a yes/no vote. Green happens only when all bullish checks are true; red when all bearish checks are true.
How CMF is built (plain-English version)
Cycle (DPO-style): CMF subtracts a displaced SMA from price to remove trend and expose the swing. Below 0 = you’re on the dip side of the cycle; above 0 = rally side.
Momentum (ROC): percent change over roc_length bars; tells you if price is actually accelerating.
Impulse (MACD hist): measures push from fast vs slow EMAs.
Trend tilt (EWO): broader drift via two EMAs (fast/slow).
Participation bias (RSI-MA): smoothed RSI relative to 50 (plotted as RSI−50 so its zero line matches the others).
The signal rules are strict AND conditions:
Bullish = cycle < 0 and ROC > 0 and MACD hist > 0 and EWO > 0 and RSI-MA > 0.
Bearish = cycle > 0 and ROC < 0 and MACD hist < 0 and EWO < 0 and RSI-MA < 0.
Otherwise Neutral.
This strictness is deliberate: it cuts a lot of low-quality entries.
Using CMF on any timeframe
The framework is the same—only your anchors/targets change as you zoom.
Scalping (1–5m)
Where: VP v3.2 VAL/VAH/LVNs or Session AVWAP.
When: take longs when CMF turns green on/after a dip to your level; shorts when it turns red on/after a pop into resistance.
Skip: yellow reads in the middle of the range; that’s chop.
Tip: on very fast pairs, require two consecutive green/red bars before entry.
Intraday (15m–1H)
Use CMF green to time pullbacks to AVWAP or VA edges in the trend direction.
In balance days, wait for CMF color + level alignment to fade back to POC.
If CMF flips yellow after entry, tighten risk; if it flips against you, consider exiting early.
Swing (2H–4H)
Treat first green after a higher-timeframe pullback to Weekly AVWAP or composite VAL as your A-setup.
If CMF stays green through the first pullback, consider adding; the opposite for red in downtrends.
Position (1D–1W)
Fewer, bigger decisions: CMF green at Monthly/Quarterly AVWAP or at composite VAL suggests rotation toward POC/HVNs; CMF red at VAH suggests mean-reversion lower.
If CMF can’t turn green/red at key retests, that’s valuable: the level likely won’t hold.
Entries, exits, and risk (simple rules)
Entry: trade at a level when CMF just flips to your side (green for longs / red for shorts).
Invalidation: if CMF reverts to yellow immediately, it’s a warning; if it flips to the opposite color, that’s your soft stop condition—tighten or exit unless higher-timeframe context argues otherwise.
Targets: use Volume Profile v3.2 (POC/HVNs) and AVWAP (mean) for logical destinations.
Don’t use CMF alone for stops; place them beyond the level or structure.
Settings that actually matter (and how to tune them)
Cycle Length (default 20): swing detection.
Shorter (10–14): quicker flips, better for scalps.
Longer (30–40): steadier cycle for swings/position.
ROC Length (default 10): momentum lookback.
Shorter: earlier yes/no, more noise.
Longer: slower, more selective.
MACD Fast/Slow (5/13) & EWO Fast/Slow (5/35): impulse and drift.
Increase slow values to calm false flips; decrease fast to react sooner.
RSI Length (14) & Smoothing (5): participation tilt.
Reduce smoothing for faster confirmation; increase to avoid whips.
Background on/off: keep it on while learning; once you’re comfortable, you can hide the background and read the lines against zero.
Tuning tip: If you trade only a few coins, optimize Cycle and ROC first; leave MACD/EWO defaults. Then decide how strict you want RSI (try RSI smoothing = 3 for faster reads).
What to look for (pattern cheatsheet)
Green at a dip-level (VAL/AVWAP) → rotate toward POC/HVN.
Red at a pop-level (VAH/AVWAP) → rotate down toward POC/HVN.
Color holds through the retest → continuation is more likely.
Color flips against the breakout → watch for failed break and reclaim.
Only one line disagrees (e.g., ROC < 0 while others > 0) → expect slower follow-through; consider waiting one bar.
Combining CMF with other tools
Volume Profile v3.2 :
Use VAH/VAL/POC/LVNs for where. CMF answers when.
Green at VAL → mean-reversion long to POC.
Red at VAH → fade to POC.
LVN breaks with green often travel quickly to the next HVN.
Anchored VWAP :
Reclaim of AVWAP + CMF turns green → higher-quality long; rejection + red → cleaner short.
Weekly AVWAP + CMF color is a reliable swing compass.
Cumulative Volume Delta v1 (CVDv1):
CMF says “now”, CVDv1 says “how good”.
Prefer CMF green when CVDv1 Alignment = OK, Imbalance strong, Absorption ≠ red.
If CMF flips green but CVDv1 shows Absorption (red), do not chase; look for a reclaim instead.
Common pitfalls CMF helps you avoid
Buying high in the cycle: CMF keeps longs to when the cycle is on the dip side and momentum/trend agree.
Forcing trades on yellow: yellow is your do-less mode—wait for alignment.
Ignoring flow at levels: CMF gives the window, but quality still matters; confirm with CVDv1.
Practical defaults to start with
Cycle 20 | ROC 10 | MACD 5/13 | EWO 5/35 | RSI 14 (smooth 5)
Works out of the box on 15m–4H.
For scalps, try Cycle 14 / ROC 7–9 / RSI smooth 3.
For daily swings, Cycle 30–34 / ROC 12–14.
Alerts (what they tell you)
Bullish Signal: CMF turned green (all bullish checks passed). Use it as a heads-up; still anchor the entry to VP/AVWAP.
Bearish Signal: CMF turned red. Same rule: wait for the level.
Open source & disclaimer
This indicator is published open source so traders can learn, tweak, and build rules they trust. Tools guide decisions; risk management decides outcomes.
Disclaimer — Not Financial Advice.
The “Cycle Momentum Filter ” indicator and this description are provided for educational purposes only and do not constitute financial or investment advice. Trading involves risk, including possible loss of capital. makes no warranties and assumes no responsibility for any trading decisions or outcomes resulting from the use of this script. Past performance is not indicative of future results.
Exhaustion Detector by exp3rtsThis advanced indicator is designed to spot buyer and seller exhaustion zones by combining candle structure, volume anomalies, momentum oscillators, and support/resistance context. Optimized for the 5-minute chart, it highlights potential turning points where momentum is likely fading.
Multi-factor detection – Uses RSI, Stochastic, volume spikes, wick-to-body ratios, and ATR context to identify exhaustion.
Smart filtering – Optional trend filter (EMA) and support/resistance proximity filter refine signals.
Cooldown logic – Prevents repeated signals in rapid succession to reduce noise.
Confidence scoring – Each exhaustion signal is graded for strength, so you can gauge conviction.
Visual clarity – Clear arrows mark exhaustion signals, background zones highlight pressure areas, and debug labels show score breakdowns (toggleable).
Use this tool to:
Anticipate potential reversals before price turns
Spot exhaustion at key support/resistance zones
Add a contrarian signal filter to your trading system
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIntroduction
The ICT Venom Model is one of the most advanced strategies in the ICT framework, designed for intraday trading on major US indices such as US100, US30, and US500. This model is rooted in liquidity theory, time and price dynamics, and institutional order flow.
The Venom Model focuses on detecting Liquidity Sweeps, identifying Fair Value Gaps (FVG), and analyzing Market Structure Shifts (MSS). By combining these ICT core concepts, traders can filter false breakouts, capture sharp reversals, and align their entries with the real institutional liquidity flow during the New York Session.
Key Highlights of ICT Venom Model :
Intraday focus : Optimized for US indices (US100, US30, US500).
Time element : Critical window is 08:00–09:30 AM (Venom Box).
Liquidity sweep logic : Price grabs liquidity at 09:30 AM open.
Confirmation tools : MSS, CISD, FVG, and Order Blocks.
Dual setups : Works in both Bullish Venom and Bearish Venom conditions.
At its core, the ICT Venom Strategy is a framework that explains how institutional players manipulate liquidity pools by engineering false breakouts around the initial range of the market. Between 08:00 and 09:30 AM New York time, a range called the “Venom Box” is formed.
This range acts as a trap for retail traders, and once the 09:30 AM market open occurs, price usually sweeps either the high or the low of this box to collect stop-loss liquidity. After this liquidity grab, the market often reverses sharply, giving birth to a classic Bullish Venom Setup or Bearish Venom Setup
The Venom Model (ICT Venom Trading Strategy) is not just a pattern recognition tool but a precise institutional trading model based on time, liquidity, and market structure. By understanding the Initial Balance Range, watching for Liquidity Sweeps, and entering trades from FVG zones or Order Blocks, traders can anticipate market reversals with high accuracy. This strategy is widely respected among ICT followers because it offers both risk management discipline and clear entry/exit conditions. In short, the Venom Model transforms liquidity manipulation into actionable trading opportunities.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Venom Model is applied by observing price behavior during the early hours of the New York session. The first step is to define the Initial Range, also called the Venom Box, which is formed between 08:00 and 09:30 AM EST. This range marks the high and low points where institutional traders often create traps for retail participants. Once the official market opens at 09:30 AM, price usually sweeps either the top or bottom of this box to collect liquidity.
After this liquidity grab, the market tends to reverse in alignment with the true directional bias. To confirm the setup, traders look for signals such as a Market Structure Shift (MSS), Change in State of Delivery (CISD), or the appearance of a Fair Value Gap (FVG). These elements validate the reversal and provide precise levels for trade execution.
🟣 Bullish Setup
In a Bullish Venom Setup, the market first sweeps the low of the Venom Box after 09:30 AM, triggering sell-side liquidity collection. This downward move is often sharp and deceptive, designed to stop out retail long positions and attract new sellers. Once liquidity is taken, the market typically shifts direction, forming an MSS or CISD that signals a reversal to the upside.
Traders then wait for price to retrace into a Fair Value Gap or a demand-side Order Block created during the reversal leg. This retracement offers the ideal entry point for long positions. Stop-loss placement should be just below the liquidity sweep low, while profit targets are set at the Venom Box high and, if momentum continues, at higher session or daily highs.
🟣 Bearish Setup
In a Bearish Venom Setup, the process is similar but reversed. After the Initial Range is defined, if price breaks above the Venom Box high following the 09:30 AM open, it signals a false breakout designed to collect buy-side liquidity. This move usually traps eager buyers and clears out stop-losses above the high.
After the liquidity sweep, confirmation comes through an MSS or CISD pointing to a reversal downward. At this stage, traders anticipate a retracement into a Fair Value Gap or a supply-side Order Block formed during the reversal. Short entries are taken within this zone, with stop-loss positioned just above the liquidity sweep high. The logical profit targets include the Venom Box low and, in stronger bearish momentum, deeper session or daily lows.
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The ICT Venom Model is more than just a reversal setup; it is a complete intraday trading framework that blends liquidity theory, time precision, and market structure analysis. By focusing on the Initial Range between 08:00 and 09:30 AM New York time and observing how price reacts at the 09:30 AM open, traders can identify liquidity sweeps that reveal institutional intentions.
Whether in a Bullish Venom Setup or a Bearish Venom Setup, the model allows for precise entries through Fair Value Gaps (FVGs) and Order Blocks, while maintaining clear risk management with well-defined stop-loss and target levels.
Ultimately, the ICT Venom Model provides traders with a structured way to filter false moves and align their trades with institutional order flow. Its strength lies in transforming liquidity manipulation into actionable opportunities, giving intraday traders an edge in timing, accuracy, and consistency. For those who master its logic, the Venom Model becomes not only a strategy for entry and exit, but also a deeper framework for understanding how liquidity truly drives price in the New York session.
Advanced Market Structure [OmegaTools]📌 Market Structure
Advanced Market Structure is a next–generation indicator designed to decode price structure in real time by combining classical swing–based analysis with modern quantitative confirmation techniques. Built for traders who demand both precision and adaptability, it provides a robust multi–layered framework to identify structural shifts, trend continuations, and potential reversals across any asset class or timeframe.
Unlike traditional structure indicators that rely solely on visual swing identification, Market Structure introduces an integrated methodology: pivot detection, Donchian trend modeling, statistical confirmation via Z–Score, and volume–based validation. Each element contributes to a comprehensive, systematic representation of the underlying market dynamics.
🔑 Core Features
1. Five Distinct Market Structure Modes
Standard Mode:
Captures structural breaks through classical swing high/low pivots. Ideal for discretionary traders looking for clarity in directional bias.
Confirmed Breakout Mode:
Requires validation beyond the initial pivot break, filtering out noise and reducing false positives.
Donchian Trend HL (High/Low):
Establishes structure based on absolute highs and lows over rolling lookback windows. This approach highlights broader momentum shifts and trend–defining extremes.
Donchian Trend CC (Close/Close):
Similar to HL mode, but calculated using closing prices, enabling more precise bias identification where close–to–close structure carries stronger statistical weight.
Average Mode:
A composite methodology that synthesizes the four models into a weighted signal, producing a balanced structural bias designed to minimize model–specific weaknesses.
2. Dynamic Pivot Recognition with Auto–Updating Levels
Swing highs and lows are automatically detected and plotted with adaptive horizontal levels. These dynamic support/resistance markers continuously extend into the future, ensuring that historically significant levels remain visible and actionable.
3. Color–Adaptive Candlesticks
Price bars are dynamically recolored to reflect the prevailing structural regime: bullish (default blue), bearish (default red), or neutral (gray). This enables instant visual recognition of regime changes without requiring external confirmation.
4. Statistical Reversal Triggers
The script integrates a 21–period Z–Score calculation applied to closing prices, combined with multi–layered volume confirmation (SMA and EMA convergence).
Bullish trigger: Z–Score < –2 with structural confirmation and volume support.
Bearish trigger: Z–Score > +2 with structural confirmation and volume support.
Signals are plotted as diamond markers above or below the bars, identifying potential high–probability reversal setups in real time.
5. Integrated Alpha Backtesting Engine
Each market structure mode is evaluated through a built–in backtesting routine, tracking hit ratios and consistency across the most recent ~2000 structural events.
Performance metrics (“Alpha”) are displayed directly on–chart via a dedicated Performance Dashboard Table, allowing side–by–side comparison of Standard, Confirmed Breakout, Donchian HL, Donchian CC, and Average models.
Traders can instantly evaluate which structural methodology best adapts to the current market conditions.
🎯 Practical Advantages
Systematic Clarity: Eliminates subjectivity in defining structural bias, offering a rules–based framework.
Statistical Transparency: Built–in performance metrics validate each mode in real time, allowing informed decision–making.
Noise Reduction: Confirmed Breakouts and Donchian modes filter out common traps in structural trading.
Multi–Asset Adaptability: Optimized for scalping, intraday, swing, and multi–day strategies across FX, equities, futures, commodities, and crypto.
Complementary Usage: Works as a stand–alone structure identifier or as a quantitative filter in larger algorithmic/trading frameworks.
⚙️ Ideal Users
Discretionary traders seeking an objective reference for structural bias.
Quantitative/systematic traders requiring on–chart statistical validation of structural regimes.
Technical analysts leveraging pivots, Donchian channels, and price action as part of broader frameworks.
Portfolio traders integrating structure into multi–factor models.
💡 Why This Tool?
Market Structure is not a static indicator — it is an adaptive framework. By merging classical pivot theory with Donchian–style momentum analysis, and reinforcing both with statistical backtesting and volume confirmation, it provides traders with a unique ability:
To see the structure,
To measure its reliability,
And to act with confidence on quantifiably validated signals.
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks.
📊 Core Idea
• Many stocks surge after the open, reaching an intraday peak before fading lower.
• This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window.
• It provides:
• Probability of a fade after the peak
• Average and maximum drawdown statistics
• Event-day hit rate (how often such setups occur)
🎯 Use Cases
• Spot potential “fade setups” where early enthusiasm exhausts quickly.
• Quantify how often chasing the morning high turns into a losing trade.
• Backtest opening range failure or fade strategies with hard data.
⚙️ Features
• Customizable thresholds for the initial surge (relative to prior close).
• Marks the peak (max) and subsequent low (min) used in calculations.
• Draws a reference line at the surge threshold to visualize when the fade triggers.
• Outputs summary stats directly on the chart.
Take Profit CalculatorRelease Notes: Take Profit Calculator v1.0
Introduction
Introducing the Real-Time Take Profit Calculator, a dynamic tool for TradingView designed to instantly calculate and display your target exit price. This indicator eliminates the need for manual calculations, allowing scalpers and day traders to see their profit targets directly on the chart as the market moves.
Key Features
Dynamic Target Calculation: The take-profit line is not static. It recalculates on every tick, moving with the current price to show you the exact target based on a real-time entry point.
Full Trade Customization:
Margin: Set the amount of capital (in USDT) you are allocating to the trade.
Leverage: Input your desired leverage to accurately calculate the total position size.
Desired Profit: Specify your target profit in USDT, and the indicator will calculate the corresponding price level.
Long & Short Support: Easily switch between "Long" and "Short" trade directions. The indicator will adjust the calculation and the visual style accordingly.
Customizable Display:
Change the color and width of the take-profit line for both long and short scenarios.
Toggle a price label on or off for a cleaner chart view.
How to Use
Add to Chart: Apply the "Take Profit Calculator" indicator to your chart.
Open Settings: Double-click the indicator name or the line itself to open the settings panel.
Enter Your Parameters: Under "Trade Parameters," fill in your Margin, Leverage, and Desired Profit.
Select Direction: Choose either "Long" or "Short" from the Trade Direction dropdown.
Analyze: The horizontal line on your chart now represents the exact price you need to reach
Stochastic ExcessThe stochastic indicator is a technical analysis tool used in finance to assess the momentum of an asset’s price. It measures the current closing price relative to its price range over a specified period, usually a short one. This indicator helps identify overbought or oversold conditions, signaling when an asset might be about to reverse its trend.
Дни недели и торговые сесииIndicator for visual analysis by trading sessions and days.
Индикатор для наглядного анализа по торговым сесиям и дням.
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System
Overview
This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations
Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals
Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context
Advanced Features
MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment
RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation
Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis
Key Components
Signal Types
Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment
Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities
Take Profit Markers: X-cross symbols indicating statistical TP analysis zones
Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR
Visual Elements
8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization
Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes
Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors)
Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels
Usage Instructions
Basic Configuration
Sensitivity Setting: Start with default value 6
Increase (7-15) for more frequent signals in volatile markets
Decrease (3-5) for higher quality signals in trending markets
MA Filter Type: McGinley Dynamic recommended for smoother signals
Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions
Signal Interpretation
Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment
Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment
Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis
Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis
Dashboard Analysis
Green Cells: Bullish trend detected on that timeframe
Red Cells: Bearish trend detected on that timeframe
Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation
Risk Management Features
Automatic Calculations
ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x)
Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios
Position Sizing Guidance: Entry labels display suggested price levels for order placement
Confirmation Requirements
Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation
Filter Validation: Braid filter must show sufficient strength before signals activate
Multi-Timeframe Context: Dashboard provides broader market context for decision making
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with sensitivity 8-12
Day Trading: 15M-1H charts with sensitivity 6-8
Swing Trading: 4H-Daily charts with sensitivity 4-6
Market Conditions
Trending Markets: Reduce sensitivity, increase filter strength
Ranging Markets: Increase sensitivity, enable reversal signals
High Volatility: Adjust ATR risk factor to 2.0-2.5
Advanced Features
Customization Options
MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34)
Color Themes: Three professional color schemes plus transparent option
Dashboard Position: 9 positioning options with 4 size settings
Signal Filtering: Individual toggle controls for each signal type
Technical Specifications
Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA)
Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values
Statistical Analysis: Linear regression slope calculation for trend-based TP analysis
Important Limitations
Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements
Ranging Markets: May produce false signals during extended sideways price action
High Volatility: Requires parameter adjustment during news events or unusual market conditions
Computational Load: Multiple timeframe analysis may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter
The modern Wolfe Wave, rebuilt for the algo era
This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential.
🔎 What it does
Automatic Wolfe Wave Detection
Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances.
Channel Glow Zones
Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move.
Stop Loss (SL) & Entry Arrow
At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings. This is the “execution point” — where the Wolfe setup becomes tradable.
Target Projection Lines
TP1 (EPA): Derived from the traditional 1–4 line projection.
TP2 (1.272 Fib): Optional secondary profit target.
TP3 (1.618 Fib): Optional extended target for large runners.
All TP lines extend into the future, so you can track them as price evolves.
Volume Confirmation (optional)
A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed.
Alerts (ready out of the box)
Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you.
⚙️ Customisation & User Control
Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable:
Arrow Colours & Size
Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility.
Tolerance Levels
Adjust symmetry and slope tolerance to refine how strict the channel rules are.
Tighter settings = fewer but cleaner zones.
Looser settings = more frequent setups, but with slightly lower structural quality.
Channel Glow Projection
Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended.
Stop Loss Line Length
Keep the SL visible without it extending infinitely across your chart.
Take Profit Line Colors
Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3.
This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most.
🚀 Why it’s different
Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets.
Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit.
Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs.
Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist.
⚠️ Limitations & Disclaimer
Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist.
No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules.
Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management.
High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large.
✅ The Bottom Line
Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that:
Detects the pattern automatically
Provides SL, entry, and TP levels
Offers alerts for hands-off trading
Allows deep customisation for different markets
When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay.
This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader.
Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected. Simply drop us a message with your comments and we will endeavour to address your needs in future version updates.
Buy and Sell Signals (Altius Consulting)Generates Buy and Sell signals based on MACD and RSI.
- Plots MACD, Signal & Histogram (optional pane).
- Buy Label (toggle): Bullish MACD crossover + RSI < threshold (no convergence requirement).
- Sell Label: Bearish MACD crossover (MACD crosses below Signal) prints a SELL tag.
- Alert: Provided for convergence-based buy condition (add your own for simple crossover if desired).
LSMAsThis indicator calculates and plots two Least Squares Moving Averages (LSMA) based on different lengths and a Smoothed Moving Average (SMMA) of the longer LSMA.
Inputs
lengthA : Period length for the first, longer LSMA.
lengthB : Period length for the second, shorter LSMA.
signAl : Signal period used in SMMA smoothing.
Calculations
LSMA-A and LSMA-B : Calculates the linear regression (least squares) of source over lengthA and lengthB respectively, with no offset. These represent two LSMAs, one slow and one fast.
SMMA : This is a smoothed moving average of the longer LSMA (LSMA-A).
Purpose
This indicator helps traders identify trend directions and momentum by using two least squares regression lines of different lengths to capture short- and long-term trends in price. The SMMA smoothing of the longer LSMA may be used as a signal or confirmation line to reduce noise and produce smoother signals.
It generates buy and sell signals based on the intersection of the LSMA-A and SMMA. If the LSMA-A crosses the SMMA upwards, a BUY signal is generated; if it crosses the SMMA downwards, a SELL signal is generated.
The LSMA-B, which is short-term, can be used for wave analysis. When a peak forms, a high is observed on the chart, and when a valley forms, a low is observed. This allows us to determine whether the wave is rising or falling.
Summary
Two LSMAs are calculated: one slow (lengthA), one fast (lengthB).
A smoothed moving average (SMMA) of the slow LSMA is computed using the signal length (signAl).
All three curves are overlaid on the price chart for visual trend and momentum analysis.
Smoothed Basis Overview and Purpose
The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum.
Indicator Setup
length = Period length for calculating the highest and lowest values.
signal = Smoothing period used to smooth the basis.
offset =Optional horizontal shift to the plots (default 0).
Core Calculations
lower = Finds the lowest low over the past length bars.
upper = Finds the highest high over the past length bars.
basis = Calculates the midpoint between the highest and lowest.
Smoothing Calculation (Smoothed Moving Average - SMMA)
Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies formula
which gives a smoother version of basis which reacts less to sudden changes.
Plotting and Color Fill
Plots the raw basis line and smoothed basis line .
Fills the area between the basis and smoothed basis lines:
Greenish fill if the basis is above the smoothed value (potentially bullish).
Reddish fill if the basis is below the smoothed value (potentially bearish).
Interpretation and Use
The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows.
The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line.
When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness.
The length and signal parameters allow tuning for different timeframes or asset volatility.
In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
Precision Candle Marker – OL/OH/OC ScreenerThis indicator highlights high-probability precision candles on any perpetual contract, designed especially for scalpers and short-term traders.
It marks three unique candle setups on the 1-minute chart (works on other timeframes too):
🟢 Open = Low (OL) → Strong bullish momentum, buyers took control instantly.
🔴 Open = High (OH) → Strong bearish momentum, sellers took control instantly.
🔵 Open = Close (OC) → Doji / indecision candle, potential reversal or continuation signal.
Use cases:
Identify breakout entry points in uptrend/downtrend.
Filter noise and focus on precision candles.
Combine with trend indicators (EMA, VWAP, RSI) for confirmation.
This tool is best suited for scalping perpetual contracts (e.g., BTCUSDT, ETHUSDT) but works on any symbol and timeframe.
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview
Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones.
The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals.
Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend.
📌 Signals do not repaint — once confirmed, they remain fixed on the chart.
2️⃣ How It Works ?
The indicator tracks the distance between fast and slow MAs.
The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA.
Each time the gap reaches a new extreme during a swing, that value is stored.
When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected.
These gap values are then averaged to create a smoother and more adaptive reference.
The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA.
3️⃣ How to Use It ?
Add the script to your chart.
Green label → potential Long signal.
Red label → potential Short signal.
Signals often appear when price moves outside the adaptive bands, showing extreme momentum.
Can also be used as a reference tool in manual trades to set profit/loss expectations.
By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction.
4️⃣⚙️ Settings
Swing Count → Number of past swings considered.
% Multiplier → Adjusts band width (narrower or wider).
MA Lengths & Types → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones.
// Core Channel Calculation Framework
maType = input.string("EMA", title="Moving Average Type", options= )
// Short-Term Group Construction
stMA1 = ma(close, st1, maType)
stMA2 = ma(close, st2, maType)
// Long-Term Group Construction
ltMA1 = ma(close, lt1, maType)
ltMA2 = ma(close, lt2, maType)
// Smoothing Application
smoothedavg = ma(overallAvg, 10, maType)
🔶 Volatility-Adaptive Zone Framework
Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Sentiment Adjustment
shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11
longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11
// Dual-Group Zone Optimization
overallAvg = (shortTermAvg + longTermAvg) / 2
allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22
🔶 Step-Like Boundary Evolution
Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
RSI Divergence + Hidden RSI Divergence + Hidden (TV-like pairing, final)
What it does
This indicator plots RSI and automatically detects both regular and hidden divergences by pairing RSI pivots with price pivots. It supports a TradingView-like loose pairing (within a user-defined bar tolerance) and a strict same-bar pairing. Detected signals are drawn with lines and optional labels on the RSI pane for quick visual verification.
Divergence logic
Regular Bullish (label: Bull)
Price makes a lower low while RSI makes a higher low → potential upward reversal.
Regular Bearish (label: Bear)
Price makes a higher high while RSI makes a lower high → potential downward reversal.
Hidden Bullish (label: H_Bull)
Price makes a higher low while RSI makes a lower low → trend-continuation bias upward.
Hidden Bearish (label: H_Bear)
Price makes a lower high while RSI makes a higher high → trend-continuation bias downward.
All conditions use pivot-to-pivot comparisons with optional equality tolerance for price and RSI to reduce false “equal” mismatches.
Pairing modes
TV-like
Pairs the latest price and RSI pivots if their pivot bars occur within ±tolBars.
A lightweight “pending” buffer allows pairing a newly detected pivot with a recent opposite pivot that arrived a few bars earlier/later (within tolerance).
Same Bar
Price and RSI pivots must occur on the exact same bar to form a pair.
Key inputs
RSI Source & Length: srcRsi, rsiLen (default 14). RSI line and reference levels (70/50/30) can be shown/hidden.
Pivot Window: leftBars, rightBars for both price and RSI pivots.
Pairing: pairMode = TV-like or Same Bar; tolBars for bar tolerance (TV-like only).
Price Pivot Basis: priceMode = High/Low (default) or Close.
Equality Tolerance:
allowEqual (use >=/<=),
priceEpsTks (ticks) for price equality slack,
rsiEps (points) for RSI equality slack.
Visibility: showRSI, showRegular, showHidden, showLabels.
Visuals
Lines (on RSI):
Regular Bearish: red
Regular Bullish: lime
Hidden Bearish: orange
Hidden Bullish: teal
Labels (optional): "Bear", "Bull", "H_Bear", "H_Bull" placed on the RSI series at the second pivot.
Alerts
Four alert conditions are provided and fire when the corresponding divergence is confirmed:
Bear (Regular)
Bull (Regular)
H_Bear (Hidden)
H_Bull (Hidden)
Notes & tips
Divergences are evaluated only when both price and RSI pivots exist and can be paired under the selected mode.
Pivot sensitivity: smaller leftBars/rightBars → earlier but noisier signals; larger values → fewer, more stable pivots.
Tolerance: If you miss valid setups because pivots land a few bars apart, use TV-like with a small tolBars (e.g., 1–2). If you prefer stricter confirmation, use Same Bar.
Equality slack: Use priceEpsTks and rsiEps to avoid rejecting near-equal highs/lows due to tiny differences.
Works on any symbol/timeframe; as with all divergence tools, treat signals as context—combine with trend, structure, and risk management.
