WMA+VWAP with Buy & Sell signals [Dr.K.C.Prakash]WMA+VWAP with Buy & Sell signals
✅ Purpose:
This TradingView indicator helps traders identify trend shifts and trade opportunities by combining:
Weighted Moving Average (WMA) crossover signals (for trend direction)
VWAP (Volume Weighted Average Price) (for intraday fair-value levels)
It is designed to visually signal Buy/Sell entries on the chart when the faster WMA crosses the slower WMA, while also showing the VWAP for additional trade context.
The crossover logic highlights potential shifts in trend momentum.
2️⃣ VWAP (Volume Weighted Average Price)
Plotted as an orange line.
VWAP is widely used by intraday traders to identify a "fair value" price level, helping confirm if price is trading above/below the session’s average price.
✅ Traders often use VWAP as dynamic support/resistance or to filter trade entries (e.g., only take buys if price is above VWAP).
3️⃣ Visual Signals
BUY label: Green, below bar.
SELL label: Red, above bar.
These labels appear directly on the chart when crossovers occur, making it easy to spot entry points.
Penunjuk dan strategi
WMA cross with filtered Signals [Dr.K.C.Prakash]WMA cross with filtered Signals
📌 Description
This indicator is designed to generate trend-filtered Buy and Sell signals based on the crossover of two Weighted Moving Averages (WMAs), with confirmation from a long-term EMA trend filter.
It helps traders avoid false signals in choppy markets by trading only in the direction of the broader trend.
✅ Features
Fast WMA (?) and Slow WMA (?)
Core crossover logic for detecting local trend shifts.
EMA Trend Filter (?)
Confirms overall trend direction.
Buy signals only occur when price is above the EMA ? (uptrend).
Sell signals only occur when price is below the EMA ? (downtrend).
Signal Markers on Chart
BUY label below bar for valid bullish crossovers.
SELL label above bar for valid bearish crossunders.
EMA 200 Line
Clearly plotted to visualize the trend filter level.
Customizable Length Inputs
Users can adjust Fast WMA, Slow WMA, and EMA filter length.
Lines for both WMAs and the EMA trend filter.
Signal labels on valid Buy/Sell events.
✅ Use Cases
Trend-following traders who want cleaner entries.
Avoiding counter-trend signals.
Works on any timeframe (but EMA 200 is best for larger trend context).
GCM Bull Bear RiderGCM Bull Bear Rider (GCM BBR)
Your Ultimate Trend-Riding Companion
GCM Bull Bear Rider is a comprehensive, all-in-one trend analysis tool designed to eliminate guesswork and provide a crystal-clear view of market direction. By leveraging a highly responsive Jurik Moving Average (JMA), this indicator not only identifies bullish and bearish trends with precision but also tracks their performance in real-time, helping you ride the waves of momentum from start to finish.
Whether you are a scalper, day trader, or swing trader, the GCM BBR adapts to your style, offering a clean, intuitive, and powerful visual guide to the market's pulse.
Key Features
JMA-Powered Trend Lines (UTPL & DTPL): The core of the indicator. A green "Up Trend Period Line" (UTPL) appears when the JMA's slope turns positive (buyers are in control), and a red "Down Trend Period Line" (DTPL) appears when the slope turns negative (sellers are in control). The JMA is used for its low lag and superior smoothing, giving you timely and reliable trend signals.
Live Profit Tracking Labels: This is the standout feature. As soon as a trend period begins, a label appears showing the real-time profit (P:) from the trend's starting price. This label moves with the trend, giving you instant feedback on its performance and helping you make informed trade management decisions.
Historical Performance Analysis: The profit labels remain on the chart for completed trends, allowing you to instantly review past performance. See at a glance which trends were profitable and which were not, aiding in strategy refinement and backtesting.
Automatic Chart Decluttering: To keep your chart clean and focused on significant moves, the indicator automatically removes the historical profit label for any trend that fails to achieve a minimum profit threshold (default is 0.5 points).
Dual-Ribbon Momentum System:
JMA / Short EMA Ribbon: Visualizes short-term momentum. A green fill indicates immediate bullish strength, while a red fill shows bearish pressure.
Short EMA / Long EMA Ribbon: Acts as a long-term trend filter, providing broader market context for your decisions.
"GCM Hunt" Entry Signals: The indicator includes optional pullback entry signals (green and red triangles). These appear when the price pulls back to a key moving average and then recovers in the direction of the primary trend, offering high-probability entry opportunities.
How to Use
Identify the Trend: Look for the appearance of a solid green line (UTPL) for a bullish bias or a solid red line (DTPL) for a bearish bias. Use the wider EMA ribbon for macro trend confirmation.
Time Your Entry: For aggressive entries, you can enter as soon as a new trend line appears. For more conservative entries, wait for a "GCM Hunt" triangle signal, which confirms a successful pullback.
Ride the Trend & Manage Your Trade: The moving profit label (P:) is your guide. As long as the trend line continues and the profit is increasing, you can confidently stay in the trade. A flattening JMA or a decreasing profit value can signal that the trend is losing steam.
Focus Your Strategy: Use the Display Mode setting to switch between "Buyers Only," "Sellers Only," or both. This allows you to completely hide opposing signals and focus solely on long or short opportunities.
Core Settings
Display Mode: The master switch. Choose to see visuals for "Buyers & Sellers," "Buyers Only," or "Sellers Only."
JMA Settings (Length, Phase): Fine-tune the responsiveness of the core JMA engine.
EMA Settings (Long, Short): Adjust the lengths of the moving averages that define the ribbons and "Hunt" signals.
Label Offset (ATR Multiplier): Customize the gap between the trend lines and the profit labels to avoid overlap with candles.
Filters (EMA, RSI, ATR, Strong Candle): Enable or disable various confirmation filters to strengthen the "Hunt" entry signals according to your risk tolerance.
Add the GCM Bull Bear Rider to your chart today and transform the way you see and trade the trend!
ENJOY
Turtle Strategy Pullback EntryThis strategy, titled “Turtle Strategy Pullback Entry”, is a trend-following system designed to capture breakouts more efficiently by entering after a slight pullback. Instead of buying immediately when the price breaks the 20-day high, the strategy waits for the price to pull back by 1% below that high, offering a better entry point and reducing the chances of false breakouts. Once the pullback level is reached, a long position is initiated. The trade is then managed using three exit conditions: it will close if the price drops 1.4% below the entry (acting as a stop loss), if the price rises 1.8% above the entry (taking profit), or if the price closes below the 20-day low, which serves as a trend invalidation signal. The position size is based on 100% of the equity by default, and the chart visually shows the 20-day high, low, and pullback level along with a green background when a position is active. This approach helps traders ride strong trends while avoiding premature entries, making it suitable for swing or position trading across stocks, forex, or crypto markets.
SAPMA_BANDLARI_MÜCAHİD_ATAOGLUThis “Advanced Deviation Bands” indicator is designed as an all-in-one trading toolkit that:
Calculates a Flexible Base Average
User-selectable type (HMA, EMA, WMA, VWMA, LWMA) and length.
Optionally uses the price source itself as the “average” input.
Builds ±1σ to ±5σ Deviation Bands
Measures deviation of price vs. the base average, cleans out extreme outliers, and applies a weighted moving average to smooth.
Computes standard deviation on that cleaned series and multiplies by the base average to get dynamic σ values.
Plots five upper and five lower bands around the adjusted average.
Rich Visual & Layout Controls
Neon-style colors for each band, configurable thickness and label size.
Optional gradient fills between bands.
Background shading for “Normal,” “Oversold” (price < –3σ) and “Overbought” (price > +3σ) regions.
Dynamic labels at chart edge marking each σ level and zone names (e.g. “NORMAL,” “DİKKAT,” “TEHLİKE,” etc.).
Smart Signal Generation with Risk Management
Buy when price dips below –3σ and momentum (RSI 14, MACD) & trend (50 EMA vs. 200 EMA) filters pass.
Sell when price exceeds +3σ with analogous momentum/trend checks.
Automatically records entry price and draws corresponding Stop Loss and Take Profit levels based on user-set percentages (e.g. 2 % SL, 4 % TP).
Clears the entry when SL or TP is hit.
Momentum & Trend Analysis
RSI and MACD measure momentum strength/weakness.
EMA50 vs. EMA200 define overall uptrend or downtrend.
On-Chart Info Table & Alerts
Shows current price, RSI, trend direction, distance to ±3σ in %, a “Risk Level” (Low/Medium/High), and composite “Signal Strength” score.
Alert conditions for buy/sell triggers and critical ±4σ breaks.
Purpose
To combine statistical price dispersion (σ-bands), momentum, trend direction, and built-in trade management—delivering visually striking, rule-based entry/exit signals with stop loss, take profit, and clear risk assessment, all in one indicator.
配對交易waynecoin製作2原始策略邏輯
只要zScore大於某個值（如2）就做空ETH做多BTC
只要zScore小於某個值（如-2）就做多ETH做空BTC
但這種方式有時訊號太多、容易假突破、勝率不穩定
優化邏輯目標
1. 降低訊號頻率，過濾掉沒意義的雜訊交易
2. 等到「明顯極端」再動手，讓每一單都更有「均值回歸」的機會
3. 進場後，避免被盤整來回洗掉，強制休息一段時間（冷卻期）再考慮下一單
1. 「極端區才做」：提高入場門檻
以前你設定zScore>2或<-2就進場，這個「門檻」容易被雜訊觸發。
優化方式：把門檻拉高（例如2.5或3），訊號只會在「非常極端」的狀態下才出現，減少亂進場。
2. 「回歸動能確認」：等它真的要回來再做
傳統做法常在zScore剛突破極端值時就馬上進場，結果價格還是繼續爆走，導致虧損。
優化方式：
先等zScore跑到極端區（>2.5或<-2.5），
等它「開始回頭」（例如：zScore從3往下跌，跌破2.5時才進場），
這樣能增加「回歸」動能，少做那種「突破後持續單邊爆走」的盤。
3. 「冷卻期」：強制休息、減少來回被巴
很多交易在平倉後，立刻又收到新訊號反向進場，容易被盤整來回磨。
優化方式：設一個「冷卻期」（例如15根K線），這段期間內不再產生新訊號，即使條件觸發也忽略，讓你有時間等下一波「真正有利的極端機會」。
主要變數說明
plotH：入場門檻（如2.5），zScore超過這個數才考慮進場。
cooldown：冷卻K線數，這段期間內無論有無訊號都不能再進新倉。
last_entry_bar：紀錄上次開倉的bar_index，用於計算冷卻期。
進場邏輯
如果zScore「向上」突破-plotH，並且目前不在冷卻期，則產生一個做多ETH/做空BTC訊號（標籤顯示）。
如果zScore「向下」突破plotH，且不在冷卻期，則產生做空ETH/做多BTC訊號。
每次有訊號進場後，都把last_entry_bar更新為當下K線的bar_index，進入冷卻期。
入場標準差原本設定2.5，但可自行設定峰值，數值設定越高，信號越少
冷卻k線數可以自己設定，當你設定的數值越高，信號越少
Look-Back Periodu也可以自己設定，數值越高回朔時間越長，信號越少
我一直在思考什麼樣的策略適合散戶交易
想了一年多只想到兩種交易
1.對沖策略只吃異常波動率
2.資金費率套利
當前先針對對沖策略來發佈
後續會繼續發表資費套利
**Original Strategy Logic**
As long as the zScore is greater than a certain value (e.g., 2), short ETH and long BTC.
As long as the zScore is less than a certain value (e.g., -2), long ETH and short BTC.
However, this approach sometimes generates too many signals, is prone to false breakouts, and has unstable win rates.
---
**Optimization Goals**
1. Reduce signal frequency and filter out meaningless/noisy trades
2. Wait for "obvious extremes" before taking action, giving each trade a better chance at mean reversion
3. After entry, avoid getting chopped in sideways markets by enforcing a cooldown period before considering the next trade
---
**1. "Only trade in extreme zones": Increase entry threshold**
Previously, you entered whenever zScore > 2 or < -2. This threshold is easily triggered by noise.
**Optimization:** Raise the threshold (e.g., to 2.5 or 3), so signals only appear in "very extreme" conditions, reducing random entries.
**2. "Confirm mean reversion momentum": Wait until it actually starts to revert**
The traditional approach often enters right when zScore first breaks the extreme value, but sometimes price keeps moving in the same direction, leading to losses.
**Optimization:**
* First, wait until zScore reaches the extreme zone (>2.5 or <-2.5),
* Then, wait for it to "start reverting" (for example, zScore falls back below 2.5 from above 3),
* Only enter then. This increases the likelihood of actual mean reversion and avoids getting caught in one-sided trends after the breakout.
**3. "Cooldown period": Force a rest and reduce getting chopped**
Many trades, after closing, immediately receive a new signal and reverse position, which often leads to losses in choppy markets.
**Optimization:** Set a "cooldown period" (e.g., 15 candles). During this time, no new signals are generated—even if conditions are met—allowing you to wait for the next "truly favorable extreme opportunity."
---
**Key Variables**
* `plotH`: Entry threshold (e.g., 2.5). Only consider entries when zScore exceeds this value.
* `cooldown`: Number of cooldown candles. No new entries can be made during this period, regardless of signals.
* `last_entry_bar`: Records the bar\_index of the last entry, used to calculate the cooldown period.
---
**Entry Logic**
* If zScore breaks upwards through -plotH and you’re not in a cooldown period, generate a long ETH/short BTC signal (show a label).
* If zScore breaks downwards through plotH and not in a cooldown period, generate a short ETH/long BTC signal.
* Every time you enter a trade, update `last_entry_bar` to the current bar\_index and enter the cooldown period.
The entry standard deviation threshold is originally set to 2.5, but you can set it to any peak value you prefer—the higher the value, the fewer the signals.
The cooldown candle count is also customizable; the higher the value, the fewer the signals.
The look-back period is adjustable as well; the higher it is, the longer the historical window considered, and the fewer the signals.
---
I’ve been thinking for over a year about what kind of strategies are suitable for retail traders.
After all this time, I’ve only come up with two types:
1. Hedge strategies that only capture abnormal volatility
2. Funding rate arbitrage
Currently, I’m publishing the hedge strategy first.
I’ll continue to share funding rate arbitrage in the future.
配對交易waynecoin製作2_回歸零即止盈進場：兩個幣價差大幅偏離平均值（超過設定標準差），認為出現「極端偏差」，所以進行配對交易
出場：只要 zScore 回到 0，即「兩幣回歸均值關係」，立刻平倉
冷卻機制：每次出場後，必須經過設定的K線數才能再次進場，有效減少過度頻繁交易
這種回歸0止盈法的優點
減少來回掃損：避免只在邊界平倉（如 zScore 回到 1），能抓到更大一段的均值回歸
簡單直觀：規則容易判斷，不需要額外判斷趨勢或震盪
適合盤整行情：這種策略在橫盤或均值回歸明顯的市場表現較好
需搭配wayncoin製作2來使用，因為腳本原因他一次只能單筆持倉，所以相比較wayncoin製作2會遺漏一些信號，但可以這版本的離場信號做為離場，在該跟k線收盤後出現離場信號在做離場
Entry: When the price spread between the two coins deviates significantly from the mean (exceeds the set standard deviation), this is considered an "extreme deviation," so a pairs trade is initiated.
Exit: As soon as the zScore returns to 0—meaning the price relationship between the two coins has reverted to the mean—the position is closed immediately.
Cooldown mechanism: After each exit, a specified number of candlesticks must pass before a new entry is allowed, effectively reducing over-trading.
Advantages of the “exit at zScore=0” method:
Reduces whipsaw losses: By avoiding exits at just the boundaries (e.g., zScore returning to 1), it can capture a larger portion of the mean reversion move.
Simple and intuitive: The rules are easy to follow, without needing to judge additional trends or market regimes.
Well-suited to ranging markets: This strategy performs better in sideways or clearly mean-reverting markets.
Note:
This method should be used together with “waynecoin version 2.” Due to script limitations, it only allows one position at a time, so compared to waynecoin version 2, some signals may be missed. However, you can use the exit signals from this version to close positions—when an exit signal appears after the close of the corresponding candlestick, close the position.
VWAP con Ancho de Banda (%) y Semáforo📈 VWAP with Band Width (%) + Visual Traffic Light
This indicator is designed for traders who rely on VWAP-based momentum strategies, especially during sessions with lower liquidity like Asia or pre-market hours.
✅ What does this indicator do?
Calculates VWAP using Pine Script’s built-in ta.vwap(), anchored to a specific custom time (default: 7:30 PM Mexico time – ideal for Asia session).
Draws the upper and lower bands based on 1 standard deviation.
Measures the real band width as a percentage of VWAP.
Displays that percentage on the chart and compares it to a user-defined minimum threshold.
Adds a "traffic light" background:
🟢 Green: VWAP width is above the minimum threshold (e.g., 0.50%) → valid conditions to trade
🔴 Red: market lacks momentum → avoid trading
🎯 Who is this for?
Intraday traders operating BTC, ETH, indices, or Forex in 1min–5min timeframes
Breakout or EMA-based strategy traders
Anyone who wants to filter trades based on actual market strength or range
⚙ Key Configurations:
VWAP anchor time (default: 19:30)
Minimum VWAP width (%) to consider market valid
Toggle background visual signal on/off
💡 Perfect for traders who need a clean way to validate real momentum before entering a position. Helps avoid choppy, low-volume environments and boosts confidence during entry.
Crossing AveragesWe averages are crossing, volume increases. This script aims to plot the price relative to the averages that are crossing. If price markers are below the average lines, that usually indicates weakness.
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE)
A Three-Pillar Framework for Decoding Institutional Activity
🎓 THEORETICAL FOUNDATION
The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture.
This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum.
⚡ THE THREE-PILLAR ARCHITECTURE
1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT')
Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? "
Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market.
Formulaic Concept:
Coherence = f(Dominance, Synchronization)
Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers.
Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action.
The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions.
2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION')
Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? "
Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes."
Algorithmic Process:
Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events.
Node Creation: A raw node is created at the mean price of the identified candle.
Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level.
Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics.
3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING')
Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? "
Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles.
Algorithmic Process:
Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle).
Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle."
Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak).
Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum.
🔧 COMPREHENSIVE INPUT SYSTEM
Pillar I: Market Coherence Engine
Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine.
Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise.
Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions.
Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns.
Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation.
Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals.
Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves.
Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals.
Pillar II: Harmonic Liquidity Matrix
Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints.
Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels.
Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent.
Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike.
High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes.
Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest.
Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes.
High (0.6-0.8): Creates wider, more consolidated zones of liquidity.
Low (0.2-0.3): Creates more numerous, precise, and distinct levels.
Pillar III: Cyclical Resonance Matrix
Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance.
Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping.
Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading.
Institutional Signal Architecture
Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence.
Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency.
Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default.
Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals.
Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts.
🎨 ADVANCED VISUAL SYSTEM
The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed.
Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes.
Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels.
Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance.
🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment.
Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context.
Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent.
💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average.
Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry.
🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process."
Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim.
⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm.
Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy.
📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD)
The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status.
Header: Displays the script title and version.
Coherence Engine Section:
State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition.
Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing.
Liquidity Matrix Section:
Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked.
Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest.
Cycle Matrix Section:
Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy.
Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation.
Signal Status Section:
A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color.
🎯 SIGNAL GENERATION LOGIC
Aetherium's signal logic is built on the principle of strict, non-negotiable confluence.
Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market.
Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node.
For a Buy Signal: Price must be rejecting the Node from below (testing it as support).
For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance).
Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction.
Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike.
Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move.
🚀 ADVANCED TRADING STRATEGIES
The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal.
The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion.
Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target.
⚖️ RESPONSIBLE USAGE AND LIMITATIONS
Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future.
Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties.
Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change.
Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal.
Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics.
🔮 CONCLUSION
The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations.
It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm.
"In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung
— Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
Sabina's TRAMA Crossover Color Bands💡 TRAMA Bullish - Bearish Crossover 20/50
This indicator uses two TRAMAs (Trend Regularity Adaptive Moving Averages) with lengths 20 and 50 to detect high-quality crossover points between short- and long-term price behavior signaling potential trend shifts with visual clarity.
Why TRAMA?
Unlike traditional moving averages, TRAMA dynamically adjusts its responsiveness based on market regularity. This makes it faster in trending conditions and smoother in choppy markets, reducing noise and enhancing signal reliability.
🟢 Green line: Bullish crossover (TRAMA 20 crosses above TRAMA 50)
🔴 Red line: Bearish crossover (TRAMA 20 crosses below TRAMA 50)
Perfect for trend-following strategies, scalping, or multi-timeframe confirmation
EscobarTrades:- Session Opens/Box's)Marks out session opens for you, Shows you different sessions with color boxes
TIM–EMA Crossover EngineWhat Indicator do:
A multi-layered EMA-based signal indicator designed for trend-following, momentum, and structure-based traders. This tool helps you detect trend reversals, breakout alignments, and extended conditions in a visually intuitive and customizable way.
Key Features:
1) Glowing EMAs: Five customizable EMAs (default: 10, 21, 55, 150, 200) with glowing layered visuals for high clarity.
2) Smart Signal Commentary: Dynamic labels with human-readable crossover insights, trend structure detection, and optional emoji icons.
3) Price Disparity Warning: Detects when price is >5% away from its nearest EMA — alerts you to overextended zones.
4) Signal Score (0–10): Quantifies trend strength based on EMA alignment and price structure.
5) Crossover Markers: Triangle arrows plotted directly on the chart to mark bullish/bearish EMA crossovers.
6) Full Customization:
Enable/disable glow
Choose EMA periods & colors
Toggle label frequency (every 5 bars or signal-only)
Position signal labels anywhere on the chart
Support and ResistanceSupport and Resistance is a customizable indicator for TradingView that allows users to manually input and visualize multiple support and resistance levels and ranges directly on their charts. The script distinguishes between major and minor levels, supporting both single price lines and price ranges for each. Users can specify levels as major or minor, select line styles (solid, dashed, dotted), adjust colors and transparency, and choose whether to display price labels. Ranges are highlighted with shaded fills between two price levels, and all elements are dynamically managed to avoid clutter. This tool is designed to help traders quickly identify key price zones for decision-making, and all settings are accessible through the indicator’s input panel, making it flexible for any market or timeframe.
- Manually input unlimited support and resistance levels or ranges
- Highlight major vs. minor zones with different colors and styles
- Show or hide price labels for clarity
- Customizable appearance for lines and range fills
- Works on any asset and timeframe
This indicator does not provide trading signals or automate analysis; it is a visual aid for discretionary traders who want precise control over their chart annotations.
Strong Trend CandlesThis indicator highlights candles that show clear directional conviction, using a mathematically grounded method designed to identify moments when the market is truly dominated by buyers or sellers.
🔍 What does it detect?
It identifies two key structures:
Up-Trend Candle (UP):
The open is close to the session’s low.
The close is close to the session’s high.
This structure reflects sustained bullish control from start to finish.
Down-Trend Candle (DOWN):
The open is near the high.
The close is near the low.
This reflects clear bearish control throughout the session.
Precise Definitions Used:
UP-Trend Candle:
Open ≤ Low + 10% of range
Close ≥ High - 20% of range
DOWN-Trend Candle:
Open ≥ High - 10% of range
Close ≤ Low + 20% of range
Here, the range is simply High - Low.
Why are the thresholds different (10% vs 20%)?
This is intentional and based on how markets behave:
The opening price tends to be precise and stable in trend days. A strong trending candle usually opens very close to one end (high or low), reflecting a clean start without hesitation.
The closing price, however, often pulls back slightly before the end of the session—even during strong trends—due to profit-taking or last-minute volatility.
That’s why the close is allowed more tolerance (20%), while the open is held to a stricter threshold (10%). This balance allows the indicator to be strict enough to filter noise, yet flexible enough to capture real trends.
✅ Why this is useful
Unlike vague candle patterns like "bullish engulfing" or "marubozu," this method focuses strictly on structure and positioning, not color or subjective shape. It isolates the candles where one side clearly dominated, offering cleaner entries for breakout, continuation, or confirmation strategies.
You can use this tool to:
Spot high-momentum price action
Confirm breakouts or directional bias
Filter setups based on strong market conviction
Automated ChecklistWeekly Bias (Auto / Bullish / Bearish)
Daily Bias (Auto / Bullish / Bearish)
PDH/L Taken (Auto / Yes / No)
🔁 Logic:
If input is Auto, use calculated values.
If Bullish, Bearish, or Yes/No selected, use the manual input.
RAHA - Roni's Adjusted Hybrid AverageRoni's Hybrid Moving Average Oscillator
Each value in the series is weighted inversely to its distance from the mean, meaning that outliers have less impact.
The indicator reduces distortions caused by extreme movements.
More suitable for cases such as volatile stocks.
מתנד הממוצע ההיברידי של רוני
כל ערך בסדרה מקבל משקל הפוך למרחקו מהממוצע כלומר חריגים משפיעים פחות.
האינדיקטור מצמצם עיוותים שנגרמים על ידי תנועות קיצוניות.
מתאים יותר למקרים כמו מניות תנודתיות.
Setra Alert by Sekolah Trading🔷 How It Works
Dynamic Pair & Timeframe Detection
Auto-detects current symbol and timeframe
Applies correct pip threshold for each pair:
XAUUSD, USDJPY, GBPUSD, AUDUSD, EURUSD, BTCUSD, etc.
Timeframes: 5m, 15m, 1h
Candle Structure Filtering
Body = abs(close - open)
Wick = upper + lower shadow
Must pass wick ratio condition (≤ 30%)
Signal Conditions
Body ≥ threshold
Wick ≤ 30%
Clear bullish or bearish structure
Visual Output
🔺 Blue triangle = Bullish momentum
🔻 Red triangle = Bearish momentum
🔷 Alert System Explanation
This script provides two built-in alert conditions:
✅ Momentum Bullish
Triggers when:
Large bullish body
Wick ≤ 30%
Final 20–90 seconds of candle
Confirmed real-time (no repaint)
✅ Momentum Bearish
Same conditions applied to bearish candles
🔔 How to Set Alerts
Add alert on chart
Choose condition: Momentum Bullish or Momentum Bearish
Set frequency: Once Per Bar
Customize message, e.g.:
“Bullish momentum on XAUUSD M15”
Alerts help traders prepare entries before the candle closes.
🔷 How to Use
Load the script on a 5m, 15m, or 1h chart
Adjust pip values for your pair via input menu
Watch for triangle markers near candle close
Combine with:
Trend indicators (EMA, Supertrend)
S/R levels, breakouts, or liquidity zones
Optional volume or order flow confirmation
🔷 Why This Script is Closed-Source
This version includes protected logic developed by Sekolah Trading, including:
Dynamic pip calibration
Wick/body structural filtering
Non-repainting real-time alert logic
While the code is protected to prevent misuse, all logic and intent have been clearly explained here as required by TradingView's House Rules.
🔷 Disclaimer
This tool is meant for technical analysis and educational purposes only. It is not financial advice, and no signal is guaranteed. Always use proper risk management and confirm trades independently.
