ACE哥專屬指標這是一款專為加密貨幣與外匯市場設計的多空結構分析指標。
指標核心結合了市場結構、K線反轉訊號、均線節奏與關鍵支撐壓力區間偵測，
可協助交易者在趨勢盤與震盪盤中找到相對安全的進出場點位。
本指標可應用於波段、日內與短線操作，能清楚標示多空轉折區間、結構突破與回測確認點，
特別適合搭配結構延續策略、支撐壓力策略或結構轉換策略使用。
若有興趣了解更多策略應用與交易邏輯，歡迎透過官方社群或課程進一步學習。
This is a long-short structure analysis indicator designed specifically for the cryptocurrency and forex markets.
The core of the indicator combines market structure, candlestick reversal signals, moving average rhythm, and key support and resistance zone detection to help traders identify relatively safe entry and exit points in trending and volatile markets.
This indicator can be used for swing, intraday, and short-term trading. It clearly identifies long-short turning points, structural breakouts, and backtest confirmation points.
It is particularly suitable for use with structural continuation strategies, support and resistance strategies, or structural conversion strategies.
If you are interested in learning more about strategy applications and trading logic, please learn more through the official community or courses.
Cycles
8AM # 9AM CRM Trading Model - Complete Beginner's Guide
## BEFORE YOU START
**Important:** This strategy only works during market open hours (9:00 AM - 12:00 PM EST for NAS100/SPX). Do not trade outside these hours.
**Risk Warning:** Start with a demo account first. Trade 2-4 weeks on demo before risking real money.
---
## STEP 1: SET UP YOUR TRADINGVIEW CHART
1. Open TradingView
2. Search for **NAS100** (Nasdaq 100 Index)
3. Click the **5-minute (5m)** timeframe button at the top
Your chart should now show:
- Blue dotted lines (8AM candle range)
- Orange dotted lines (key level)
- Small SWEEP triangles when price breaks levels
---
## STEP 2: UNDERSTAND THE SETUP
The indicator shows a **4-step checklist** in the top-right HUD (Heads Up Display):
**STEP 1: 8AM Range Set**
- The indicator automatically captures the 8:00-9:00 AM candle's high and low
- You should see two faint blue dotted lines
- Status will say "SET" when ready
- Nothing to do here - it's automatic
**STEP 2: Key Level Found**
- The indicator finds the nearest swing low or high (support/resistance)
- You'll see a faint orange dotted line
- Status will say "FOUND" when ready
**STEP 3: Turtle Sweep**
- Price must break ONE end of the 8AM range
- You'll see a small blue triangle labeled "SWEEP" appear below the candle
- This means price swept the low (bullish setup) or swept the high (bearish setup)
**STEP 4: Confirmations**
- The indicator looks for:
- IFEG (bullish or bearish imbalance)
- Order Block (reversal candle pattern)
- Status shows YES or NO for each
---
## STEP 3: WAIT FOR THE SIGNAL
Keep watching the **HUD on the right side**. It will show:
```
WAITING FOR SETUP
STEP 1: 8AM Range Set: SET
STEP 2: Key Level Found
STEP 3: Turtle Sweep: NO
STEP 4: Confirmations
- IFEG: NO
- Order Block: NO
WHEN ALL 4 ✓ → TRADE
```
When **ALL FOUR steps show YES**, the indicator will:
1. Draw a **HUGE triangle** on the chart saying "BUY NOW" or "SELL NOW"
2. Draw three bold lines:
- **WHITE line** = Entry price
- **RED dashed line** = Stop loss
- **GREEN line** = Take profit
3. Update the HUD with your trade numbers
---
## STEP 4: PLACE YOUR TRADE
When you see the BUY NOW or SELL NOW signal:
**For a LONG (BUY) trade:**
1. Look at the **WHITE line** = Your entry price
2. Look at the **RED dashed line** = Your stop loss (where to cut losses)
3. Look at the **GREEN line** = Your take profit (your target)
Check the **HUD** for exact numbers:
- Entry Price:
- Stop Loss:
- Take Profit:
- Risk:
- Reward:
- R:R Ratio:
**On your broker (MT4/MT5 or whatever you use):**
1. Click BUY/SELL
2. Set Entry = Entry Price from indicator
3. Set Stop Loss = SL price from indicator
4. Set Take Profit = TP price from indicator
5. Click TRADE
**For a SHORT (SELL) trade:** Same steps but click SELL instead of BUY
---
## STEP 5: MANAGE YOUR TRADE
Once you're in the trade:
1. **Let it run** - Don't move your stop loss or take profit
2. **Watch for price to hit your targets:**
- If price hits the GREEN line first → You WIN (take profit hits)
- If price hits the RED line first → You LOSE (stop loss hits)
- If price breaks the WHITE line lower → Exit manually
3. **Don't hold past noon EST** - This strategy stops working after market lunch
4. **Close any open trades by 12:00 PM EST**
---
## IMPORTANT RULES
**DO THIS:**
- Only trade between 9:00 AM and 12:00 PM EST
- Use a 5-minute chart
- Follow the exact entry/SL/TP levels from the indicator
- Start with 1 lot/contract on demo
- Keep a trading journal (write down every trade)
- Risk no more than 2% of your account per trade
**DON'T DO THIS:**
- Don't move your stop loss (moving stops = losing strategy)
- Don't ignore the indicator signals and "feel" your way in
- Don't trade outside the 9AM-12pm window
- Don't use a 1-hour or 15-minute chart (must be 5-min)
- Don't trade on demo for just 2 days then go live
- Don't risk more than 2% per trade
---
## REAL EXAMPLE
**9:15 AM EST - Price sweeps 8AM low, IFEG forms, Order Block confirmed**
Your indicator shows:
```
ACTIVE TRADE - LONG
Entry: 24,865.50
Stop Loss: 24,820.00
Take Profit: 24,920.00
Risk: 45.50 pts
Reward: 54.50 pts
R:R Ratio: 1:1.2
```
You place trade:
- BUY 1 contract at 24,865.50
- Stop at 24,820.00 (if wrong, you lose 45 points)
- Target 24,920.00 (if right, you gain 54 points)
**Result:** Price goes to 24,920 and your take profit hits. You WIN 54 points.
---
## DEMO ACCOUNT TESTING CHECKLIST
Before trading real money, complete this on demo:
- Trade for 5 trading days minimum
- Execute at least 10 trades
- Win rate is 50% or better
- Each loss is smaller than each win (following your R:R)
- You didn't miss any signals
- You stuck to the rules (no moving stops, proper timeframe, etc)
- You made more money than you lost overall
If you don't meet these criteria, keep practicing on demo. Don't go live yet.
---
## COMMON MISTAKES NEW TRADERS MAKE
**Mistake 1: Wrong Timeframe**
- Using 1h or 15m instead of 5m chart
- Result: Misses setups or generates false signals
**Mistake 2: Moving Stop Loss**
- Indicator says SL at 24,820, but you move it to 24,800 to "give it room"
- Result: You get stopped out randomly
**Mistake 3: Trading Outside Hours**
- Trading at 12:30 PM or 2:00 PM
- Result: Strategy stops working, you lose money
**Mistake 4: Ignoring the Signal**
- Indicator says BUY, but you "feel" like it won't work
- Result: You miss winners or take trades you shouldn't
**Mistake 5: Not Using Stop Loss**
- "I'll just watch it and exit if it goes bad"
- Result: One bad move and you're down $500 before you can react
---
## WHAT TO EXPECT
**Week 1:** You'll find the indicator confusing. That's normal. Watch 5+ setups.
**Week 2:** You'll start to understand when setups are forming.
**Week 3-4:** You should see some winning trades. Others will hit stop loss. This is normal.
**After 4 weeks:** You should have enough demo data to decide if this strategy works for you.
---
## FINAL ADVICE
1. **Trade small first** - 1 lot on demo, then 1 lot on live
2. **Keep a journal** - Write down entry, stop, target, result for every trade
3. **Don't expect 100% win rate** - Even good strategies win 50-60% of trades
4. **Focus on following the rules** - Not on making money fast
5. **Ask yourself:** Am I following the indicator exactly, or am I guessing?
The traders who make money follow the system. The traders who lose money ignore it and trade on "feel."
Which trader will you be?
Key LevelsKey Levels Indicator
Description
The Key Levels indicator is a powerful tool for traders, displaying major institutional price levels from daily, weekly, and monthly timeframes on your chart. It plots horizontal lines for previous period highs, lows, and midpoints (50% levels), as well as current period opens, helping you identify critical support and resistance zones used by institutional traders. Labels are provided for the most recent levels, positioned at the rightmost bar for easy reference.
Features
Daily Levels: Plots Previous Day High, Previous Day Low, Day Open, and Previous Day 50% Level.
Weekly Levels: Plots Previous Week High, Previous Week Low, Week Open, and Previous Week 50% Level.
Monthly Levels: Plots Previous Month High, Previous Month Low, Month Open, and Previous Month 50% Level.
Customizable Colors: Adjust the color of each line via the settings panel to suit your chart preferences.
Customizable Labels: Enable/disable labels, adjust label size, and change the label background color for optimal visibility.
Clean Visualization: Lines are plotted with breaks at the start of each period, ensuring a clear and uncluttered display.
Settings
Show Labels: Toggle to show or hide all labels (default: enabled).
Label Size: Choose from "tiny," "small," "normal," "large," or "huge" to adjust label text size (default: normal).
Label Background Color: Customize the background color of labels to ensure text visibility (default: black).
Line Colors: Individual color pickers for each level (e.g., Previous Day High, Day Open), allowing full customization of line colors.
Usage
The Key Levels indicator is designed for futures markets, such as S&P 500 futures (ES), Nasdaq futures (NQ), or crude oil futures (CL), where institutional price levels like daily, weekly, and monthly highs, lows, and opens are critical for identifying key support and resistance zones. Apply the indicator to a 1-hour or 15-minute timeframe to capture precise market structure for day trading or swing trading strategies in futures. While optimized for futures, the indicator can be applied to any chart for versatile trading applications. Customize line colors and label settings in the panel to match your chart preferences.
Notes
Labels are shown only for the current day, week, and month to focus on recent price action.
For best visibility, adjust the label background color if text blends into your chart background.
Ideal for traders analyzing major institutional levels for market structure and trading decisions.
Protected script
This script is published as closed-source. However, you can use it freely and without any limitations – learn more here.
njammu123
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by T
🛡️ RAMAYAN 2.0 🛡️# 🛡️ RAMAYAN 2.0 🛡️
**Description**
RAMAYAN 2.0 is a comprehensive, all-in-one TradingView indicator built from the ground up without any AI assistance. Leveraging Pine Script v6, it fuses advanced price analysis, customizable studies, and dynamic visual dashboards into a single overlay. Every feature reflects manual research, personal insights, and iterative refinement to empower traders with clarity, precision, and flexibility.
**Key Features**
- **Bhavishya Candle**: Toggleable high-low percentage steps and multi-line projections with optional background fills and real-time win/loss statistics.
- **Ramayan SMC Tables**: Two configurable tables—Bhavishya Candle summary and advanced trend criteria—support auto or manual sizing and positional placement.
- **EMA Ribbon & Envelope**: Choose up to four moving averages (SMA, EMA, SMMA, WMA, VWMA) and an envelope (percent or exponential) to visualize trend strength and volatility.
- **VWAP + EMA Crossover**: Session/week/month/earnings-anchored VWAP plus short/long EMA cross signals and conditional fills for trend confirmation.
- **Advanced Option Calculator**: Real-time P&L lines, break-even markers, net return, and placeholder Greeks display with custom strike, premiums, quantity, and expiry inputs.
- **Samay Time Lines**: Up to seven user-defined intraday time markers with colored lines and labels.
- **Heikin Ashi Supertrend Signals**: ATR-based swing buy/sell shapes and alerts, alignable with Ramayan SMC’s swing logic.
- **Trend Scoring Panel**: Multi-indicator scoring (20 criteria including EMA, MACD, RSI, ADX, Ichimoku, Alligator, BB, ROC, OBV, prior week high) displayed in a color-coded table with textual interpretation (“Very Strong”, “Strong”, “Possible”, “Weak”).
- **Fully User-Configurable**: Every study has independent enable/disable toggles, input groups for organization, color pickers, sizes, and positions.
- **Alerts**: Customizable alerts for break-even hits, in-money status, buy/sell signals, and directional changes.
**Usage Notes**
- Compatible with Pine Script v6 only.
- Best viewed on dark chart themes for optimal contrast.
- Designed for both educational research and live trading—disable unused modules to optimize performance.
---
All code, logic, and design stem from personal expertise—no AI generation involved. Enjoy exploring market rhythms with RAMAYAN 2.0!
(ppl-ai-file-upload.s3.amazonaws.com)
Buy The F*cking Dip [DotGain]How to Interpret the "Buy The F*cking Dip" (BTFD) Indicator
Main Purpose and Timeframe
The BTFD indicator is a confluence indicator designed to identify rare moments of extreme capitulation and panic in the market. As the name suggests, its primary focus is identifying significant buying opportunities ("Dips") on high timeframes.
Recommended Timeframes: Minimum Daily chart, ideally Weekly chart.
Primary Signal: The green "Buy" triangle is the default signal to watch for.
The Buy Signal (Green Triangle)
A green "Buy" triangle appears only when all three of the following conditions are met simultaneously. It signals not just a minor pullback, but a potentially macro-level oversold condition.
High Panic (CM Williams Vix Fix): The market is in a state of heightened volatility or "fear." This indicates that sellers are acting out of panic.
Structurally Oversold (Deviation from MA): The price has deviated extremely far (default: >10%) below its long-term moving average (default: 200-period EMA). This signals that the price is "cheap" in the big picture.
Short-Term Overextended (TRMAD): The price has fallen extremely hard and fast relative to its recent volatility (ATR) (default: < -3.0). This signals "maximum pain" on a short-term level.
In summary, a green triangle means: The market is panicky, structurally undervalued, and extremely oversold short-term. These are often the moments when long-term bottoms are formed.
The Sell Signal (Red Triangle)
The indicator can also identify the exact opposite: moments of extreme euphoria or "blow-off tops."
Disabled by Default: The red "Sell" triangle is disabled by default in the settings (display=display.none), as the indicator's focus is on buying.
Meaning (if enabled): It signals that the market (1) has high volatility, (2) is structurally overbought (far above its 200 MA), and (3) is extremely overextended (euphoric) on a short-term basis.
Visual Adjustments (In the "Style" Tab)
By default, only the green "Buy" triangle is active. You can, however, enable other visuals in the indicator's "Style" settings tab:
Buy (Green Triangle): On by default.
Sell (Red Triangle): Off by default.
Signal Bar Color: Colors the candle green/red. Off by default.
Signal Background: Shows a transparent green/red background. Off by default.
Have fun :)
Disclaimer
This "Buy The F*cking Dip" (BTFD) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
ProbRSI Adaptive SPY and QQQ Swing One Hour Strategy Summary in one paragraph
A probabilistic RSI engine for large cap ETFs and index names on intraday and swing timeframes. It converts ATR scaled returns into a 0 to 100 probability line, adapts its smoothing from path efficiency, and gates flips with simple percent levels. It is original because it fuses three pieces that traders rarely combine in one signal line: ATR normalized return probability, curvature compression, and per bar adaptive EMA. Add it to a clean chart, keep the default one hour signal on QQQ, and read the entry and exit markers generated by the strategy. For conservative alerts select on bar close.
Scope and intent
• Markets. Major ETFs and large cap equities. Index futures. Liquid crypto. Major FX pairs
• Timeframes. One minute to daily. Defaults to one hour for swing pace
• Default demo used in this publication. SPY/QQQ on one hour
• Purpose. Reduce false flips by adapting to path efficiency and by gating long and short separately
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Logistic probability of ATR scaled returns with arcsine pre transform, optional curvature compression, and per bar adaptive EMA steered by an efficiency ratio
• Failure mode addressed. Fast whips in congestion and late entries after spikes
• Testability. Each component has a named input and can be tuned directly. Entry names Long and Short are visible in the list of trades
• Portable yardstick. ATR scaled return is a common unit across symbols and venues
• Protected rationale. The code stays protected to preserve implementation details of the adaptive engine and curvature assist while the method and usage are fully explained here for community review
Method overview in plain language
You convert raw returns into a probability scale, adapt the smoothing to the straightness of the path, and only allow flips when a simple gate is satisfied. The probability line crosses its own EMA to generate signals. When the cross happens below a short gate or above a long gate, the flip is allowed. Otherwise it is ignored.
Base measures
• Return basis. Close minus prior close normalized by ATR, then arcsine to damp large steps. ATR window is set by ATR length. Sensitivity is adjusted by an ATR scale input
• Probability map. A logistic function maps the normalized return to 0 to 1 which becomes 0 to 100 after scaling
Components
• Probability core. Logistic probability of ATR scaled returns. Higher values imply upside pressure. Smoothed by an adaptive EMA
• Curvature assist optional. A curvature proxy compresses extreme spikes toward neutral. Useful after news bars. Weight controls strength
• Efficiency ratio. A path efficiency score from 0 to 1 extends the smoothing length during noisy paths and shortens it during directional paths
• Signal line. An EMA of the probability line creates the reference for cross up and cross down
• Gates. Two simple percent levels define when long and short flips are allowed
Fusion rule
• The adaptive EMA length is computed as a linear map between a minimum and a maximum bound based on one minus efficiency
• If curvature assist is enabled the probability is adjusted by a small counter spike term
• Final probability is compared to its EMA
Signal rule
• Long. A long entry is suggested when probability crosses above the signal line and the current probability is above the Long gate level
• Short. A short entry is suggested when probability crosses below the signal line and the current probability is below the Short gate level
• Exit and flip. When an opposite entry condition appears the current position is closed and a new position opens in the opposite direction
What you will see on the chart
• Strategy markers on suggestion bars. Orders named Long and Short
• Exit marker when the opposite signal closes the open side
• No table by design. All tuning lives in Inputs for a clean chart
Inputs with guidance
Market TF
• Symbol. Series used for oscillator computation. Use the instrument you trade or a close proxy
• Signal timeframe. Timeframe where the oscillator is evaluated. Leave blank to follow the chart
Core
• Price source. Series used for returns. Typical choice close
• Base length. Fallback EMA length used when adaptation is off. Typical range 20 to 200. Larger smooths more
• ATR length. Window for ATR that scales returns. Typical range 10 to 30. Larger normalizes more and lowers sensitivity
• Logit sharpness. Steepness of the logistic link. Typical range 1 to 8. Raising it reacts more to the same input
• ATR scale. Extra divisor on ATR. Typical range 0.5 to 2. Smaller is more sensitive
• Signal length. EMA of the probability line. Typical range 5 to 20. Larger gives fewer flips
• Long gate. Allow long flips only above this level. Typical range 20 to 40
• Short gate. Allow short flips only below this level. Typical range 20 to 40
Adaptive
• Adaptive smoothing. If on, the efficiency ratio controls the per bar EMA length
• Min effective length. Lower bound of adaptive EMA. Typical range 5 to 50
• Max effective length. Upper bound of adaptive EMA. Typical range 50 to 300
• Efficiency window. Window for efficiency ratio. Typical range 30 to 100
Shape Assist
• Curvature influence. If on, extreme spikes are nudged toward neutral
• Curvature weight. Strength of compression. Typical range 0.1 to 0.3
Properties visible in this publication
• Initial capital. 25000
• Base currency. USD
• request.security lookahead off everywhere
• Commission. 0.03 percent
• Slippage. 5 ticks
• Default order size method percent of equity with value 3 for realistic testing
• Pyramiding 0
• Process orders on close ON
• Bar magnifier OFF
• Recalculate after order is filled OFF
• Calc on every tick OFF
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Strategies use standard candles for signals and orders only
Honest limitations and failure modes
• Economic releases and thin liquidity can break assumptions behind the curvature assist
• Gap heavy symbols may prefer a longer ATR window
• Very quiet regimes can reduce signal contrast. Consider higher gates or longer signal length
• Session time follows the exchange of the chart and can change symbol to symbol
• Symbol sensitivity is expected. Use the gates and length inputs to find stable settings
• Past results never guarantee future outcomes
Open source reuse and credits
• None
Mode
Public protected. Source is hidden while access is free. Implementation detail remains private. Method and use are fully disclosed here
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
BTC Pi Cycle Top + 50W MA To indicate BTC TOP using pi cycle top + weekly 50 MA
Both overlay in a chart.
by ahmadzombie
19.10.2025
nartdivad 111This indicator will show you levels based on the price you enter. Each level is 111 points apart. In the middle of this range, there is an equilibrium at 50%, and 37 points above and below this equilibrium, there are discount and premium zones.
Super Test Indicator – Automated TP/SL SignalsThe Super Test indicator is designed to help traders automatically detect potential entry and exit points using a combination of technical logic and trend tracking. While it’s optimized for XAU/USD (Gold) on the 15-minute timeframe, it can be adapted to work with other symbols and timeframes.
🛠️ Key Features:
Automated Buy/Sell Signals
Take Profit (TP) and Stop Loss (SL) zones shown as green/red boxes
Trend Confirmation via two dynamic lines (orange and blue)
Green Triangle Markers for additional entry confirmation
Clean and professional chart visuals for easier analysis
Optimized for 15-minute timeframe, but versatile across others
🔍 How to Use:
Watch for Buy or Sell labels on the chart.
Green and red boxes show TP/SL zones for each trade.
Use the blue and orange lines to confirm overall trend direction.
Green triangle markers can help confirm stronger entries.
⚙️ Best For:
Scalpers and intraday traders
Beginners looking for guided visual signals
Traders testing semi-automated strategies
Mark Minervini Trend Template & SEPAMark Minervini Trend Template & SEPA Pro
This Pine Script distills Mark Minervini’s SEPA methodology into an institutional‑grade toolkit. It scores every bar against the 8‑point Trend Template, Weinstein stage, VCP dynamics, market health, weekly alignment, relative strength, and accumulation, then surfaces only the setups Minervini actually trades. The dashboard table (dark/light themes) summarizes compliance with each checklist item, portfolio heat, risk metrics, sector leadership, and market status, while on-chart markers with hover tooltips highlight perfect breakouts, VCPs, cheat entries, follow-through days, and exit triggers (stop, trailing MA, distribution, failed breakout). Advanced modules include sector rotation gating, follow-through-day logic, VCP structural tests (upper-third action, prior advance, volume dry-up), weekly confirmation, risk-based position sizing, and portfolio heat controls—making this a turn-key “trade like a champion” assistant ready for desk use or signal automation.
Turtle Soup Multi Timeframe (D + 30m)
This indicator indicates when there is a turtle soup with a 30-minute timeframe aligned with a one-day timeframe.
Fast Scalping Volume Confirmation (v2)//@version=5
indicator("Fast Scalping Volume Confirmation (v2)", overlay=true)
// ---------- INPUTS ----------
maLength = input.int(5, "Volume MA Length", minval=1)
multiplier = input.float(1.5, "Volume Multiplier (Trigger Above MA)", minval=0.1, step=0.1)
usePriceFilter = input.bool(true, "Enable Entry Price Range Filter")
priceMin = input.float(184.5, "Price Min (if filter on)")
priceMax = input.float(185.2, "Price Max (if filter on)")
// ---------- CALCS ----------
volMA = ta.sma(volume, maLength)
highVolume = volume > volMA * multiplier
// Simple reversal detection (non-exhaustive)
bullishEngulfing = (close > open ) and (open < close ) and (close > open)
hammer = (close > open) and ((high - low) > 3 * math.abs(open - close)) and ((close - low) / (high - low) > 0.6)
// ensure candle is closed to avoid repainting
confirmedBar = barstate.isconfirmed
// price filter
inPriceRange = not usePriceFilter or (close >= priceMin and close <= priceMax)
// final entry condition (only on closed bar)
entrySignal = confirmedBar and inPriceRange and highVolume and (bullishEngulfing or hammer)
// ---------- PLOTTING ----------
plotshape(entrySignal, title="Entry Confirmation", location=location.belowbar,
color=color.new(color.green, 0), style=shape.triangleup, size=size.small, text="ENTRY")
// show volume MA in the volume pane for reference (optional visual)
// We draw a small label on chart with current volume vs MA
var label volLab = na
if barstate.islast
label.delete(volLab)
volText = "Vol: " + str.tostring(volume) + " MA(" + str.tostring(maLength) + "): " + str.tostring(math.round(volMA))
volLab := label.new(x=bar_index, y=low, text=volText, yloc=yloc.belowbar, style=label.style_label_left, color=color.new(color.gray,85), textcolor=color.white)
// ---------- ALERT ----------
alertcondition(entrySignal, title="Entry Confirmed", message="✅ Entry confirmed: High Volume + Reversal Candle")
VIX SPY FOREX Commodities BitcoinCompilation of market data as of 10/18 showing correlations between corresponding sectors.
Swing Breakout Strategy — Candles + Divergences + Patterns (rev)Overview
A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers.
Core Logic
Trend filter: SMA(50) vs SMA(200) + price vs SMA(21).
Breakout engine: Close breaks prior N-bar high/low (lookback configurable).
Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50).
Volume: Above SMA(volume) filter.
Optional Confluence Modules
Candlestick analysis (enable/disable):
Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors).
Divergence (enable/disable):
Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL).
Chart patterns (enable/disable):
Double Bottom (two similar lows + neckline break).
Double Top (two similar highs + neckline break).
Tolerance and pivot width are configurable.
Entries & Exits
Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern).
Entry Short: Symmetric logic for downside.
Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers).
Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly.
Inputs (key)
SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9).
Breakout lookback, Volume SMA.
ATR exits (on/off, ATR length, SL/TP multipliers).
Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers.
Plots & Markers
Plots SMA 21/50/200.
Buy/Sell arrows on chart.
Optional debug markers for each condition (global-scope safe).
Divergence/pattern markers offset to the actual pivot/neckline bars.
Good Practices
Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers.
Consider using the modules as filters in trending markets to reduce whipsaws.
Always forward-test and combine with position sizing.
Disclaimer
For educational purposes only. This is not financial advice. Trading involves risk.
Version & Credits
Pine Script® v6 — Strategy.
Developed by: Mohammed Bedaiwi.
RSI DD – RSI Divergence DetectorRSI DD – RSI Divergence Detector (closed-source):
What it does:
Detects and plots regular and hidden RSI–price divergences using confirmed pivots on both series. Lines are drawn between the two most recent qualifying pivots; optional marks highlight OB/OS peaks at confirmation.
Detection method:
1. Compute RSI on a user-selected source and length. Optional EMA/SMA smoothing controls lag.
2. Build price and RSI pivot points with left/right lookbacks; a pivot confirms on the bar where right completes.
3. Pair the latest two pivots of the same type within a user-defined bar-distance window:
• Regular Bullish: price makes a lower low while RSI makes a higher low.
• Hidden Bullish: price makes a higher low while RSI makes a lower low.
• Regular Bearish: price makes a higher high while RSI makes a lower high.
• Hidden Bearish: price makes a lower high while RSI makes a higher high.
4. When a valid pair is found, draw a line on the RSI pane from the first RSI pivot to the second; color encodes divergence type.
5. Optional ticks mark RSI extremes when the confirming pivot is beyond OB/OS thresholds.
Inputs (key settings):
• RSI Period / Source: oscillator base.
• Pivot Lookback Left/Right: structure sensitivity; larger = fewer but stronger pivots.
• Min/Max Pairing Range: bars allowed between the two pivots; filters stale or too-tight pairs.
• Plot Toggles: enable/disable each divergence class.
• Signal Pair (visual): optional fast/slow MA pair and smoothing plotted as context; not used in detection.
• Levels: OB/OS and midline for visual regime.
Plots:
• RSI line.
• Optional RSI signal line.
• Midline (50), OB, OS levels.
• Colored divergence lines on RSI:
o Regular Bullish (aqua), Hidden Bullish (lime), Regular Bearish (yellow), Hidden Bearish (red).
• Optional OB/OS ticks at confirming pivots.
How to use:
• Works on any symbol and timeframe; higher timeframes reduce noise.
• Treat divergences as context. Combine with structure, trend, volume, and risk rules.
• Tighten stops or scale when divergence aligns with S/R and higher-TF bias.
• Increase right lookback and raise Min Range to reduce whipsaws; lower them to catch earlier turns.
Practical guidance:
• Swing trading: RSI 14, left=3/right=5, min=8/max=80, OB/OS 70/30.
• Intraday: RSI 14, left=2/right=3, min=4/max=40; consider slightly higher smoothing.
• If you see too many short lines, raise Min Range or increase right.
• If valid turns are missed, lower right or Min Range.
Limitations:
• Divergences can persist in strong trends.
• Pivot detection waits for confirmation, so signals are not predictive on the unconfirmed bar.
• OB/OS thresholds are conventional and not optimized to any asset.
Alerts (if you add alertcondition)
• Regular/Hidden Bullish/ Bearish detected on confirmation bar.
• Optional alert when RSI crosses back through midline after a divergence.
Version notes:
v2: pivot-pair range filter, optional OB/OS peak markers, object count management to prevent clutter, cosmetic controls, and visual signal pair.
Copyright © 2025 imaclone (Zen Silva). All rights reserved.
License: Private. No copying, sharing, or derivative works. Use limited to this TradingView script. Contact owner for access.
Key LevelsKey Levels Indicator
Description
The Key Levels indicator is a powerful tool for traders, displaying major institutional price levels from daily, weekly, and monthly timeframes on your chart. It plots horizontal lines for previous period highs, lows, and midpoints (50% levels), as well as current period opens, helping you identify critical support and resistance zones used by institutional traders. Labels are provided for the most recent levels, positioned at the rightmost bar for easy reference.
Features
Daily Levels: Plots Previous Day High, Previous Day Low, Day Open, and Previous Day 50% Level.
Weekly Levels: Plots Previous Week High, Previous Week Low, Week Open, and Previous Week 50% Level.
Monthly Levels: Plots Previous Month High, Previous Month Low, Month Open, and Previous Month 50% Level.
Customizable Colors: Adjust the color of each line via the settings panel to suit your chart preferences.
Customizable Labels: Enable/disable labels, adjust label size, and change the label background color for optimal visibility.
Clean Visualization: Lines are plotted with breaks at the start of each period, ensuring a clear and uncluttered display.
Settings
Show Labels: Toggle to show or hide all labels (default: enabled).
Label Size: Choose from "tiny," "small," "normal," "large," or "huge" to adjust label text size (default: normal).
Label Background Color: Customize the background color of labels to ensure text visibility (default: black).
Line Colors: Individual color pickers for each level (e.g., Previous Day High, Day Open), allowing full customization of line colors.
Usage
The Key Levels indicator is designed for futures markets, such as S&P 500 futures (ES), Nasdaq futures (NQ), or crude oil futures (CL), where institutional price levels like daily, weekly, and monthly highs, lows, and opens are key for getting into positions. For day trading, use these levels to identify short-term support and resistance for intraday entries and exits. For long-term trading, they provide context for swing positions or trend continuation, helping you align with institutional flow. Apply the indicator to a 1-hour or 15-minute timeframe to capture precise market structure. While optimized for futures, the indicator's key levels apply to every single thing that can be traded, including forex, stocks, and cryptocurrencies, making it versatile for all asset classes.
Notes
Labels are shown only for the current day, week, and month to focus on recent price action.
For best visibility, adjust the label background color if text blends into your chart background.
Ideal for traders analyzing major institutional levels for market structure and trading decisions.
Hellenic EMA Matrix - Α Ω PremiumHellenic EMA Matrix - Alpha Omega Premium
Complete User Guide
Table of Contents
Introduction
Indicator Philosophy
Mathematical Constants
EMA Types
Settings
Trading Signals
Visualization
Usage Strategies
FAQ
Introduction
Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market.
Key Features:
6 EMA types based on mathematical constants
Premium visualization with Neon Glow and Gradient Clouds
Automatic Fast/Mid/Slow EMA sorting
STRONG signals for powerful trends
Pulsing Ribbon Bar for instant trend assessment
Works on all timeframes (M1 - MN)
Indicator Philosophy
Why Mathematical Constants?
Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature:
Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions
Pi (3.14159) - Pi: circles, waves, cycles
e (2.71828) - Natural logarithm base: exponential growth, radioactive decay
Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles.
Mathematical Constants
Phi (Phi) - Golden Ratio
Phi = 1.618033988749895
Properties:
Phi² = Phi + 1 = 2.618
Phi³ = 4.236
Phi⁴ = 6.854
Application: Ideal for trending movements and Fibonacci corrections
Pi (Pi) - Pi Number
Pi = 3.141592653589793
Properties:
2Pi = 6.283 (full circle)
3Pi = 9.425
4Pi = 12.566
Application: Excellent for cyclical markets and wave structures
e (Euler) - Euler's Number
e = 2.718281828459045
Properties:
e² = 7.389
e³ = 20.085
e⁴ = 54.598
Application: Suitable for exponential movements and volatile markets
EMA Types
1. Phi (Phi) - Golden Ratio EMA
Description: EMA based on the golden ratio
Period Formula:
Period = Phi^n × Base Multiplier
Parameters:
Phi Power Level (1-8): Power of Phi
Phi¹ = 1.618 → ~16 period (with Base=10)
Phi² = 2.618 → ~26 period
Phi³ = 4.236 → ~42 period (recommended)
Phi⁴ = 6.854 → ~69 period
Recommendations:
Phi² or Phi³ for day trading
Phi⁴ or Phi⁵ for swing trading
Works excellently as Fast EMA
2. Pi (Pi) - Circular EMA
Description: EMA based on Pi for cyclical movements
Period Formula:
Period = Pi × Multiple × Base Multiplier
Parameters:
Pi Multiple (1-10): Pi multiplier
1Pi = 3.14 → ~31 period (with Base=10)
2Pi = 6.28 → ~63 period (recommended)
3Pi = 9.42 → ~94 period
Recommendations:
2Pi ideal as Mid or Slow EMA
Excellently identifies cycles and waves
Use on volatile markets (crypto, forex)
3. e (Euler) - Natural EMA
Description: EMA based on natural logarithm
Period Formula:
Period = e^n × Base Multiplier
Parameters:
e Power Level (1-6): Power of e
e¹ = 2.718 → ~27 period (with Base=10)
e² = 7.389 → ~74 period (recommended)
e³ = 20.085 → ~201 period
Recommendations:
e² works excellently as Slow EMA
Ideal for stocks and indices
Filters noise well on lower timeframes
4. Delta (Delta) - Adaptive EMA
Description: Adaptive EMA that changes period based on volatility
Period Formula:
Period = Base Period × (1 + (Volatility - 1) × Factor)
Parameters:
Delta Base Period (5-200): Base period (default 20)
Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0)
How it works:
During low volatility → period decreases → EMA reacts faster
During high volatility → period increases → EMA smooths noise
Recommendations:
Works excellently on news and sharp movements
Use as Fast EMA for quick adaptation
Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks
5. Sigma (Sigma) - Composite EMA
Description: Composite EMA combining multiple active EMAs
Composition Methods:
Weighted Average (default):
Sigma = (Phi + Pi + e + Delta) / 4
Simple average of all active EMAs
Geometric Mean:
Sigma = fourth_root(Phi × Pi × e × Delta)
Geometric mean (more conservative)
Harmonic Mean:
Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta)
Harmonic mean (more weight to smaller values)
Recommendations:
Enable for additional confirmation
Use as Mid EMA
Weighted Average - most universal method
6. Lambda (Lambda) - Wave EMA
Description: Wave EMA with sinusoidal period modulation
Period Formula:
Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency))
Parameters:
Lambda Base Period (10-200): Base period
Lambda Wave Amplitude (0.1-2.0): Wave amplitude
Lambda Wave Frequency (10-200): Wave frequency in bars
How it works:
Period pulsates sinusoidally
Creates wave effect following market cycles
Recommendations:
Experimental EMA for advanced users
Works well on cyclical markets
Frequency = 50 for day trading, 100+ for swing
Settings
Matrix Core Settings
Base Multiplier (1-100)
Multiplies all EMA periods
Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7)
Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74)
Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148)
Recommendations by timeframe:
M1-M5: Base = 5-10
M15-H1: Base = 10-15 (recommended)
H4-D1: Base = 15-25
W1-MN: Base = 25-50
Matrix Source
Data source selection for EMA calculation:
close - closing price (standard)
open - opening price
high - high
low - low
hl2 - (high + low) / 2
hlc3 - (high + low + close) / 3
ohlc4 - (open + high + low + close) / 4
When to change:
hlc3 or ohlc4 for smoother signals
high for aggressive longs
low for aggressive shorts
Manual EMA Selection
Critically important setting! Determines which EMAs are used for signal generation.
Use Manual Fast/Slow/Mid Selection
Enabled (default): You select EMAs manually
Disabled: Automatic selection by periods
Fast EMA
Fast EMA - reacts first to price changes
Recommendations:
Phi Golden (recommended) - universal choice
Delta Adaptive - for volatile markets
Must be fastest (smallest period)
Slow EMA
Slow EMA - determines main trend
Recommendations:
Pi Circular (recommended) - excellent trend filter
e Natural - for smoother trend
Must be slowest (largest period)
Mid EMA
Mid EMA - additional signal filter
Recommendations:
e Natural (recommended) - excellent middle level
Pi Circular - alternative
None - for more frequent signals (only 2 EMAs)
IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods:
Fast = EMA with smallest period
Mid = EMA with middle period
Slow = EMA with largest period
Therefore, you can select any combination - the indicator will arrange them correctly!
Premium Visualization
Neon Glow
Enable Neon Glow for EMAs - adds glowing effect around EMA lines
Glow Strength:
Light - subtle glow
Medium (recommended) - optimal balance
Strong - bright glow (may be too bright)
Effect: 2 glow layers around each EMA for 3D effect
Gradient Clouds
Enable Gradient Clouds - fills space between EMAs with gradient
Parameters:
Cloud Transparency (85-98): Cloud transparency
95-97 (recommended)
Higher = more transparent
Dynamic Cloud Intensity - automatically changes transparency based on EMA distance
Cloud Colors:
Phi-Pi Cloud:
Blue - when Pi above Phi (bullish)
Gold - when Phi above Pi (bearish)
Pi-e Cloud:
Green - when e above Pi (bullish)
Blue - when Pi above e (bearish)
2 layers for volumetric effect
Pulsing Ribbon Bar
Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart
Parameters:
Ribbon Position: Top / Bottom (recommended)
Pulse Speed: Slow / Medium (recommended) / Fast
Symbols and colors:
Green filled square - STRONG BULLISH
Pink filled square - STRONG BEARISH
Blue hollow square - Bullish (regular)
Red hollow square - Bearish (regular)
Purple rectangle - Neutral
Effect: Pulsation with sinusoid for living market feel
Signal Bar Highlights
Enable Signal Bar Highlights - highlights bars with signals
Parameters:
Highlight Transparency (88-96): Highlight transparency
Highlight Style:
Light Fill (recommended) - bar background fill
Thin Line - bar outline only
Highlights:
Golden Cross - green
Death Cross - pink
STRONG BUY - green
STRONG SELL - pink
Show Greek Labels
Shows Greek alphabet letters on last bar:
Phi - Phi EMA (gold)
Pi - Pi EMA (blue)
e - Euler EMA (green)
Delta - Delta EMA (purple)
Sigma - Sigma EMA (pink)
When to use: For education or presentations
Show Old Background
Old background style (not recommended):
Green background - STRONG BULLISH
Pink background - STRONG BEARISH
Blue background - Bullish
Red background - Bearish
Not recommended - use new Gradient Clouds and Pulsing Bar
Info Table
Show Info Table - table with indicator information
Parameters:
Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right
Size: Tiny / Small (recommended) / Normal / Large
Table contents:
EMA list - periods and current values of all active EMAs
Effects - active visual effects
TREND - current trend state:
STRONG UP - strong bullish
STRONG DOWN - strong bearish
Bullish - regular bullish
Bearish - regular bearish
Neutral - neutral
Momentum % - percentage deviation of price from Fast EMA
Setup - current Fast/Slow/Mid configuration
Trading Signals
Show Golden/Death Cross
Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal)
Symbols:
Yellow dot "GC" below - Golden Cross
Dark red dot "DC" above - Death Cross
Show STRONG Signals
STRONG BUY and STRONG SELL - the most powerful indicator signals
Conditions for STRONG BULLISH:
EMA Alignment: Fast > Mid > Slow (all EMAs aligned)
Trend: Fast > Slow (clear uptrend)
Distance: EMAs separated by minimum 0.15%
Price Position: Price above Fast EMA
Fast Slope: Fast EMA rising
Slow Slope: Slow EMA rising
Mid Trending: Mid EMA also rising (if enabled)
Conditions for STRONG BEARISH:
Same but in reverse
Visual display:
Green label "STRONG BUY" below bar
Pink label "STRONG SELL" above bar
Difference from Golden/Death Cross:
Golden/Death Cross = crossing moment (1 bar)
STRONG signal = sustained trend (lasts several bars)
IMPORTANT: After fixes, STRONG signals now:
Work on all timeframes (M1 to MN)
Don't break on small retracements
Work with any Fast/Mid/Slow combination
Automatically adapt thanks to EMA sorting
Show Stop Loss/Take Profit
Automatic SL/TP level calculation on STRONG signal
Parameters:
Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss
1.5 (recommended) - standard
1.0 - tight stop
2.0-3.0 - wide stop
Take Profit R:R (1.0-5.0): Risk/reward ratio
2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR)
1.5 - conservative
3.0-5.0 - aggressive
Formulas:
LONG:
Stop Loss = Entry - (ATR × Stop Loss ATR)
Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R)
SHORT:
Stop Loss = Entry + (ATR × Stop Loss ATR)
Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R)
Visualization:
Red X - Stop Loss
Green X - Take Profit
Levels remain active while STRONG signal persists
Trading Signals
Signal Types
1. Golden Cross
Description: Fast EMA crosses Slow EMA from below
Signal: Beginning of bullish trend
How to trade:
ENTRY: On bar close with Golden Cross
STOP: Below local low or below Slow EMA
TARGET: Next resistance level or 2:1 R:R
Strengths:
Simple and clear
Works well on trending markets
Clear entry point
Weaknesses:
Lags (signal after movement starts)
Many false signals in ranging markets
May be late on fast moves
Optimal timeframes: H1, H4, D1
2. Death Cross
Description: Fast EMA crosses Slow EMA from above
Signal: Beginning of bearish trend
How to trade:
ENTRY: On bar close with Death Cross
STOP: Above local high or above Slow EMA
TARGET: Next support level or 2:1 R:R
Application: Mirror of Golden Cross
3. STRONG BUY
Description: All EMAs aligned + trend + all EMAs rising
Signal: Powerful bullish trend
How to trade:
ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA
STOP: Below Fast EMA or automatic SL (if enabled)
TARGET: Automatic TP (if enabled) or by levels
TRAILING: Follow Fast EMA
Entry strategies:
Aggressive: Enter immediately on signal
Conservative: Wait for pullback to Fast EMA, then enter on bounce
Pyramiding: Add positions on pullbacks to Mid EMA
Position management:
Hold while STRONG signal active
Exit on STRONG SELL or Death Cross appearance
Move stop behind Fast EMA
Strengths:
Most reliable indicator signal
Doesn't break on pullbacks
Catches large moves
Works on all timeframes
Weaknesses:
Appears less frequently than other signals
Requires confirmation (multiple conditions)
Optimal timeframes: All (M5 - D1)
4. STRONG SELL
Description: All EMAs aligned down + downtrend + all EMAs falling
Signal: Powerful bearish trend
How to trade: Mirror of STRONG BUY
Visual Signals
Pulsing Ribbon Bar
Quick market assessment at a glance:
Symbol Color State
Filled square Green STRONG BULLISH
Filled square Pink STRONG BEARISH
Hollow square Blue Bullish
Hollow square Red Bearish
Rectangle Purple Neutral
Pulsation: Sinusoidal, creates living effect
Signal Bar Highlights
Bars with signals are highlighted:
Green highlight: STRONG BUY or Golden Cross
Pink highlight: STRONG SELL or Death Cross
Gradient Clouds
Colored space between EMAs shows trend strength:
Wide clouds - strong trend
Narrow clouds - weak trend or consolidation
Color change - trend change
Info Table
Quick reference in corner:
TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN)
Momentum %: Movement strength
Effects: Active visual effects
Setup: Fast/Slow/Mid configuration
Usage Strategies
Strategy 1: "Golden Trailing"
Idea: Follow STRONG signals using Fast EMA as trailing stop
Settings:
Fast: Phi Golden (Phi³)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
Wait for STRONG BUY
Enter on bar close or on pullback to Fast EMA
Stop below Fast EMA
Management:
Hold position while STRONG signal active
Move stop behind Fast EMA daily
Exit on STRONG SELL or Death Cross
Take Profit:
Partially close at +2R
Trail remainder until exit signal
For whom: Swing traders, trend followers
Pros:
Catches large moves
Simple rules
Emotionally comfortable
Cons:
Requires patience
Possible extended drawdowns on pullbacks
Strategy 2: "Scalping Bounces"
Idea: Scalp bounces from Fast EMA during STRONG trend
Settings:
Fast: Delta Adaptive (Base 15, Sensitivity 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base Multiplier: 5
Timeframe: M5, M15
Entry rules:
STRONG signal must be active
Wait for price pullback to Fast EMA
Enter on bounce (candle closes above/below Fast EMA)
Stop behind local extreme (15-20 pips)
Take Profit:
+1.5R or to Mid EMA
Or to next level
For whom: Active day traders
Pros:
Many signals
Clear entry point
Quick profits
Cons:
Requires constant monitoring
Not all bounces work
Requires discipline for frequent trading
Strategy 3: "Triple Filter"
Idea: Enter only when all 3 EMAs and price perfectly aligned
Settings:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi)
Base Multiplier: 15
Timeframe: H4, D1
Entry rules (LONG):
STRONG BUY active
Price above all three EMAs
Fast > Mid > Slow (all aligned)
All EMAs rising (slope up)
Gradient Clouds wide and bright
Entry:
On bar close meeting all conditions
Or on next pullback to Fast EMA
Stop:
Below Mid EMA or -1.5 ATR
Take Profit:
First target: +3R
Second target: next major level
Trailing: Mid EMA
For whom: Conservative swing traders, investors
Pros:
Very reliable signals
Minimum false entries
Large profit potential
Cons:
Rare signals (2-5 per month)
Requires patience
Strategy 4: "Adaptive Scalper"
Idea: Use only Delta Adaptive EMA for quick volatility reaction
Settings:
Fast: Delta Adaptive (Base 10, Sensitivity 3.0)
Mid: None
Slow: Delta Adaptive (Base 30, Sensitivity 2.0)
Base Multiplier: 3
Timeframe: M1, M5
Feature: Two different Delta EMAs with different settings
Entry rules:
Golden Cross between two Delta EMAs
Both Delta EMAs must be rising/falling
Enter on next bar
Stop:
10-15 pips or below Slow Delta EMA
Take Profit:
+1R to +2R
Or Death Cross
For whom: Scalpers on cryptocurrencies and forex
Pros:
Instant volatility adaptation
Many signals on volatile markets
Quick results
Cons:
Much noise on calm markets
Requires fast execution
High commissions may eat profits
Strategy 5: "Cyclical Trader"
Idea: Use Pi and Lambda for trading cyclical markets
Settings:
Fast: Pi Circular (1Pi)
Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50)
Slow: Pi Circular (3Pi)
Base Multiplier: 10
Timeframe: H1, H4
Entry rules:
STRONG signal active
Lambda Wave EMA synchronized with trend
Enter on bounce from Lambda Wave
For whom: Traders of cyclical assets (some altcoins, commodities)
Pros:
Catches cyclical movements
Lambda Wave provides additional entry points
Cons:
More complex to configure
Not for all markets
Lambda Wave may give false signals
Strategy 6: "Multi-Timeframe Confirmation"
Idea: Use multiple timeframes for confirmation
Scheme:
Higher TF (D1): Determine trend direction (STRONG signal)
Middle TF (H4): Wait for STRONG signal in same direction
Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA)
Settings for all TFs:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base Multiplier: 10
Rules:
All 3 TFs must show one trend
Entry on lower TF
Stop by lower TF
Target by higher TF
For whom: Serious traders and investors
Pros:
Maximum reliability
Large profit targets
Minimum false signals
Cons:
Rare setups
Requires analysis of multiple charts
Experience needed
Practical Tips
DOs
Use STRONG signals as primary - they're most reliable
Let signals develop - don't exit on first pullback
Use trailing stop - follow Fast EMA
Combine with levels - S/R, Fibonacci, volumes
Test on demo before real
Adjust Base Multiplier for your timeframe
Enable visual effects - they help see the picture
Use Info Table - quick situation assessment
Watch Pulsing Bar - instant state indicator
Trust auto-sorting of Fast/Mid/Slow
DON'Ts
Don't trade against STRONG signal - trend is your friend
Don't ignore Mid EMA - it adds reliability
Don't use too small Base Multiplier on higher TFs
Don't enter on Golden Cross in range - check for trend
Don't change settings during open position
Don't forget risk management - 1-2% per trade
Don't trade all signals in row - choose best ones
Don't use indicator in isolation - combine with Price Action
Don't set too tight stops - let trade breathe
Don't over-optimize - simplicity = reliability
Optimal Settings by Asset
US Stocks (SPY, AAPL, TSLA)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 10-15
Timeframe: H4, D1
Features:
Use on daily for swing
STRONG signals very reliable
Works well on trending stocks
Forex (EUR/USD, GBP/USD)
Recommendation:
Fast: Delta Adaptive (Base 15, Sens 2.0)
Mid: Phi Golden (Phi²)
Slow: Pi Circular (2Pi)
Base: 8-12
Timeframe: M15, H1, H4
Features:
Delta Adaptive works excellently on news
Many signals on M15-H1
Consider spreads
Cryptocurrencies (BTC, ETH, altcoins)
Recommendation:
Fast: Delta Adaptive (Base 10, Sens 3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M5, M15, H1
Features:
High volatility - adaptation needed
STRONG signals can last days
Be careful with scalping on M1-M5
Commodities (Gold, Oil)
Recommendation:
Fast: Pi Circular (1Pi)
Mid: Phi Golden (Phi³)
Slow: Pi Circular (3Pi)
Base: 12-18
Timeframe: H4, D1
Features:
Pi works excellently on cyclical commodities
Gold responds especially well to Phi
Oil volatile - use wide stops
Indices (S&P500, Nasdaq, DAX)
Recommendation:
Fast: Phi Golden (Phi³)
Mid: e Natural (e²)
Slow: Pi Circular (2Pi)
Base: 15-20
Timeframe: H4, D1, W1
Features:
Very trending instruments
STRONG signals last weeks
Good for position trading
Alerts
The indicator supports 6 alert types:
1. Golden Cross
Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!"
When: Fast EMA crosses Slow EMA from below
2. Death Cross
Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!"
When: Fast EMA crosses Slow EMA from above
3. STRONG BULLISH
Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!"
When: All conditions for STRONG BUY met (first bar)
4. STRONG BEARISH
Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!"
When: All conditions for STRONG SELL met (first bar)
5. Bullish Ribbon
Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend"
When: EMAs aligned bullish + price above Fast EMA (less strict condition)
6. Bearish Ribbon
Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend"
When: EMAs aligned bearish + price below Fast EMA (less strict condition)
How to Set Up Alerts:
Open indicator on chart
Click on three dots next to indicator name
Select "Create Alert"
In "Condition" field select needed alert:
Golden Cross
Death Cross
STRONG BULLISH
STRONG BEARISH
Bullish Ribbon
Bearish Ribbon
Configure notification method:
Pop-up in browser
Email
SMS (in Premium accounts)
Push notifications in mobile app
Webhook (for automation)
Select frequency:
Once Per Bar Close (recommended) - once on bar close
Once Per Bar - during bar formation
Only Once - only first time
Click "Create"
Tip: Create separate alerts for different timeframes and instruments
FAQ
1. Why don't STRONG signals appear?
Possible reasons:
Incorrect Fast/Mid/Slow order
Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods
Base Multiplier too large
Solution: Reduce Base to 5-10 on lower timeframes
Market in range
Solution: STRONG signals appear only in trends - this is normal
Too strict EMA settings
Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10
Mid EMA too close to Fast or Slow
Solution: Select Mid EMA with period between Fast and Slow
2. How often should STRONG signals appear?
Normal frequency:
M1-M5: 5-15 signals per day (very active markets)
M15-H1: 2-8 signals per day
H4: 3-10 signals per week
D1: 2-5 signals per month
W1: 2-6 signals per year
If too many signals - market very volatile or Base too small
If too few signals - market in range or Base too large
4. What are the best settings for beginners?
Universal "out of the box" settings:
Matrix Core:
Base Multiplier: 10
Source: close
Phi Golden: Enabled, Power = 3
Pi Circular: Enabled, Multiple = 2
e Natural: Enabled, Power = 2
Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0
Manual Selection:
Fast: Phi Golden
Mid: e Natural
Slow: Pi Circular
Visualization:
Gradient Clouds: ON
Neon Glow: ON (Medium)
Pulsing Bar: ON (Medium)
Signal Highlights: ON (Light Fill)
Table: ON (Top Right, Small)
Signals:
Golden/Death Cross: ON
STRONG Signals: ON
Stop Loss: OFF (while learning)
Timeframe for learning: H1 or H4
5. Can I use only one EMA?
No, minimum 2 EMAs (Fast and Slow) for signal generation.
Mid EMA is optional:
With Mid EMA = more reliable but rarer signals
Without Mid EMA = more signals but less strict filtering
Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment
6. Does the indicator work on cryptocurrencies?
Yes, works excellently! Especially good on:
Bitcoin (BTC)
Ethereum (ETH)
Major altcoins (SOL, BNB, XRP)
Recommended settings for crypto:
Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0)
Mid: Pi Circular (2Pi)
Slow: e Natural (e²)
Base: 5-10
Timeframe: M15, H1, H4
Crypto market features:
High volatility → use Delta Adaptive
24/7 trading → set alerts
Sharp movements → wide stops
7. Can I trade only with this indicator?
Technically yes, but NOT recommended.
Best approach - combine with:
Price Action - support/resistance levels, candle patterns
Volume - movement strength confirmation
Fibonacci - retracement and extension levels
RSI/MACD - divergences and overbought/oversold
Fundamental analysis - news, company reports
Hellenic Matrix:
Excellently determines trend and its strength
Provides clear entry/exit points
Doesn't consider fundamentals
Doesn't see major levels
8. Why do Gradient Clouds change color?
Color depends on EMA order:
Phi-Pi Cloud:
Blue - Pi EMA above Phi EMA (bullish alignment)
Gold - Phi EMA above Pi EMA (bearish alignment)
Pi-e Cloud:
Green - e EMA above Pi EMA (bullish alignment)
Blue - Pi EMA above e EMA (bearish alignment)
Color change = EMA order change = possible trend change
9. What is Momentum % in the table?
Momentum % = percentage deviation of price from Fast EMA
Formula:
Momentum = ((Close - Fast EMA) / Fast EMA) × 100
Interpretation:
+0.5% to +2% - normal bullish momentum
+2% to +5% - strong bullish momentum
+5% and above - overheating (correction possible)
-0.5% to -2% - normal bearish momentum
-2% to -5% - strong bearish momentum
-5% and below - oversold (bounce possible)
Usage:
Monitor momentum during STRONG signals
Large momentum = don't enter (wait for pullback)
Small momentum = good entry point
10. How to configure for scalping?
Settings for scalping (M1-M5):
Base Multiplier: 3-5
Source: close or hlc3 (smoother)
Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0)
Mid: None (for more signals)
Slow: Phi Golden (Phi²) or Pi Circular (1Pi)
Visualization:
- Gradient Clouds: ON (helps see strength)
- Neon Glow: OFF (doesn't clutter chart)
- Pulsing Bar: ON (quick assessment)
- Signal Highlights: ON
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0)
Scalping rules:
Trade only STRONG signals
Enter on bounce from Fast EMA
Tight stops (10-20 pips)
Quick take profit (+1R to +2R)
Don't hold through news
11. How to configure for long-term investing?
Settings for investing (D1-W1):
Base Multiplier: 20-30
Source: close
Fast: Phi Golden (Phi³ or Phi⁴)
Mid: e Natural (e²)
Slow: Pi Circular (3Pi or 4Pi)
Visualization:
- Gradient Clouds: ON
- Neon Glow: ON (Medium)
- Everything else - to taste
Signals:
- Golden/Death Cross: ON
- STRONG Signals: ON
- Stop Loss: OFF (use percentage stop)
Investing rules:
Enter only on STRONG signals
Hold while STRONG active (weeks/months)
Stop below Slow EMA or -10%
Take profit: by company targets or +50-100%
Ignore short-term pullbacks
12. What if indicator slows down chart?
Indicator is optimized, but if it slows:
Disable unnecessary visual effects:
Neon Glow: OFF (saves 8 plots)
Gradient Clouds: ON but low quality
Lambda Wave EMA: OFF (if not using)
Reduce number of active EMAs:
Sigma Composite: OFF
Lambda Wave: OFF
Leave only Phi, Pi, e, Delta
Simplify settings:
Pulsing Bar: OFF
Greek Labels: OFF
Info Table: smaller size
13. Can I use on different timeframes simultaneously?
Yes! Multi-timeframe analysis is very powerful:
Classic scheme:
Higher TF (D1, W1) - determine global trend
Wait for STRONG signal
This is our trading direction
Middle TF (H4, H1) - look for confirmation
STRONG signal in same direction
Precise entry zone
Lower TF (M15, M5) - entry point
Golden Cross or bounce from Fast EMA
Precise stop loss
Example:
W1: STRONG BUY active (global uptrend)
H4: STRONG BUY appeared (confirmation)
M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY
Advantages:
Maximum reliability
Clear timeframe hierarchy
Large targets
14. How does indicator work on news?
Delta Adaptive EMA adapts excellently to news:
Before news:
Low volatility → Delta EMA becomes fast → pulls to price
During news:
Sharp volatility spike → Delta EMA slows → filters noise
After news:
Volatility normalizes → Delta EMA returns to normal
Recommendations:
Don't trade at news release moment (spreads widen)
Wait for STRONG signal after news (2-5 bars)
Use Delta Adaptive as Fast EMA for quick reaction
Widen stops by 50-100% during important news
Advanced Techniques
Technique 1: "Divergences with EMA"
Idea: Look for discrepancies between price and Fast EMA
Bullish divergence:
Price makes lower low
Fast EMA makes higher low
= Possible reversal up
Bearish divergence:
Price makes higher high
Fast EMA makes lower high
= Possible reversal down
How to trade:
Find divergence
Wait for STRONG signal in divergence direction
Enter on confirmation
Technique 2: "EMA Tunnel"
Idea: Use space between Fast and Slow EMA as "tunnel"
Rules:
Wide tunnel - strong trend, hold position
Narrow tunnel - weak trend or consolidation, caution
Tunnel narrowing - trend weakening, prepare to exit
Tunnel widening - trend strengthening, can add
Visually: Gradient Clouds show this automatically!
Trading:
Enter on STRONG signal (tunnel starts widening)
Hold while tunnel wide
Exit when tunnel starts narrowing
Technique 3: "Wave Analysis with Lambda"
Idea: Lambda Wave EMA creates sinusoid matching market cycles
Setup:
Lambda Base Period: 30
Lambda Wave Amplitude: 0.5
Lambda Wave Frequency: 50 (adjusted to asset cycle)
How to find correct Frequency:
Look at historical cycles (distance between local highs)
Average distance = your Frequency
Example: if highs every 40-60 bars, set Frequency = 50
Trading:
Enter when Lambda Wave at bottom of sinusoid (growth potential)
Exit when Lambda Wave at top (fall potential)
Combine with STRONG signals
Technique 4: "Cluster Analysis"
Idea: When all EMAs gather in narrow cluster = powerful breakout soon
Cluster signs:
All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other
Gradient Clouds almost invisible
Price jumping around all EMAs
Trading:
Identify cluster (all EMAs close)
Determine breakout direction (where more volume, higher TFs direction)
Wait for breakout and STRONG signal
Enter on confirmation
Target = cluster size × 3-5
This is very powerful technique for big moves!
Technique 5: "Sigma as Dynamic Level"
Idea: Sigma Composite EMA = average of all EMAs = magnetic level
Usage:
Enable Sigma Composite (Weighted Average)
Sigma works as dynamic support/resistance
Price often returns to Sigma before trend continuation
Trading:
In trend: Enter on bounces from Sigma
In range: Fade moves from Sigma (trade return to Sigma)
On breakout: Sigma becomes support/resistance
Risk Management
Basic Rules
1. Position Size
Conservative: 1% of capital per trade
Moderate: 2% of capital per trade (recommended)
Aggressive: 3-5% (only for experienced)
Calculation formula:
Lot Size = (Capital × Risk%) / (Stop in pips × Pip value)
2. Risk/Reward Ratio
Minimum: 1:1.5
Standard: 1:2 (recommended)
Optimal: 1:3
Aggressive: 1:5+
3. Maximum Drawdown
Daily: -3% to -5%
Weekly: -7% to -10%
Monthly: -15% to -20%
Upon reaching limit → STOP trading until end of period
Position Management Strategies
1. Fixed Stop
Method:
Stop below/above Fast EMA or local extreme
DON'T move stop against position
Can move to breakeven
For whom: Beginners, conservative traders
2. Trailing by Fast EMA
Method:
Each day (or bar) move stop to Fast EMA level
Position closes when price breaks Fast EMA
Advantages:
Stay in trend as long as possible
Automatically exit on reversal
For whom: Trend followers, swing traders
3. Partial Exit
Method:
50% of position close at +2R
50% hold with trailing by Mid EMA or Slow EMA
Advantages:
Lock profit
Leave position for big move
Psychologically comfortable
For whom: Universal method (recommended)
4. Pyramiding
Method:
First entry on STRONG signal (50% of planned position)
Add 25% on pullback to Fast EMA
Add another 25% on pullback to Mid EMA
Overall stop below Slow EMA
Advantages:
Average entry price
Reduce risk
Increase profit in strong trends
Caution:
Works only in trends
In range leads to losses
For whom: Experienced traders
Trading Psychology
Correct Mindset
1. Indicator is a tool, not holy grail
Indicator shows probability, not guarantee
There will be losing trades - this is normal
Important is series statistics, not one trade
2. Trust the system
If STRONG signal appeared - enter
Don't search for "perfect" moment
Follow trading plan
3. Patience
STRONG signals don't appear every day
Better miss signal than enter against trend
Quality over quantity
4. Discipline
Always set stop loss
Don't move stop against position
Don't increase risk after losses
Beginner Mistakes
1. "I know better than indicator"
Indicator says STRONG BUY, but you think "too high, will wait for pullback"
Result: miss profitable move
Solution: Trust signals or don't use indicator
2. "Will reverse now for sure"
Trading against STRONG trend
Result: stops, stops, stops
Solution: Trend is your friend, trade with trend
3. "Will hold a bit more"
Don't exit when STRONG signal disappears
Greed eats profit
Solution: If signal gone - exit!
4. "I'll recover"
After losses double risk
Result: huge losses
Solution: Fixed % risk ALWAYS
5. "I don't like this signal"
Skip signals because of "feeling"
Result: inconsistency, no statistics
Solution: Trade ALL signals or clearly define filters
Trading Journal
What to Record
For each trade:
1. Entry/exit date and time
2. Instrument and timeframe
3. Signal type
Golden Cross
STRONG BUY
STRONG SELL
Death Cross
4. Indicator settings
Fast/Mid/Slow EMA
Base Multiplier
Other parameters
5. Chart screenshot
Entry moment
Exit moment
6. Trade parameters
Position size
Stop loss
Take Profit
R:R
7. Result
Profit/Loss in $
Profit/Loss in %
Profit/Loss in R
8. Notes
What was right
What was wrong
Emotions during trade
Lessons
Journal Analysis
Analyze weekly:
1. Win Rate
Win Rate = (Profitable trades / All trades) × 100%
Good: 50-60%
Excellent: 60-70%
Exceptional: 70%+
2. Average R
Average R = Sum of all R / Number of trades
Good: +0.5R
Excellent: +1.0R
Exceptional: +1.5R+
3. Profit Factor
Profit Factor = Total profit / Total losses
Good: 1.5+
Excellent: 2.0+
Exceptional: 3.0+
4. Maximum Drawdown
Track consecutive losses
If more than 5 in row - stop, check system
5. Best/Worst Trades
What was common in best trades? (do more)
What was common in worst trades? (avoid)
Pre-Trade Checklist
Technical Analysis
STRONG signal active (BUY or SELL)
All EMAs properly aligned (Fast > Mid > Slow or reverse)
Price on correct side of Fast EMA
Gradient Clouds confirm trend
Pulsing Bar shows STRONG state
Momentum % in normal range (not overheated)
No close strong levels against direction
Higher timeframe doesn't contradict
Risk Management
Position size calculated (1-2% risk)
Stop loss set
Take profit calculated (minimum 1:2)
R:R satisfactory
Daily/weekly risk limit not exceeded
No other open correlated positions
Fundamental Analysis
No important news in coming hours
Market session appropriate (liquidity)
No contradicting fundamentals
Understand why asset is moving
Psychology
Calm and thinking clearly
No emotions from previous trades
Ready to accept loss at stop
Following trading plan
Not revenging market for past losses
If at least one point is NO - think twice before entering!
Learning Roadmap
Week 1: Familiarization
Goals:
Install and configure indicator
Study all EMA types
Understand visualization
Tasks:
Add indicator to chart
Test all Fast/Mid/Slow settings
Play with Base Multiplier on different timeframes
Observe Gradient Clouds and Pulsing Bar
Study Info Table
Result: Comfort with indicator interface
Week 2: Signals
Goals:
Learn to recognize all signal types
Understand difference between Golden Cross and STRONG
Tasks:
Find 10 Golden Cross examples in history
Find 10 STRONG BUY examples in history
Compare their results (which worked better)
Set up alerts
Get 5 real alerts
Result: Understanding signals
Week 3: Demo Trading
Goals:
Start trading signals on demo account
Gather statistics
Tasks:
Open demo account
Trade ONLY STRONG signals
Keep journal (minimum 20 trades)
Don't change indicator settings
Strictly follow stop losses
Result: 20+ documented trades
Week 4: Analysis
Goals:
Analyze demo trading results
Optimize approach
Tasks:
Calculate win rate and average R
Find patterns in profitable trades
Find patterns in losing trades
Adjust approach (not indicator!)
Write trading plan
Result: Trading plan on 1 page
Month 2: Improvement
Goals:
Deepen understanding
Add additional techniques
Tasks:
Study multi-timeframe analysis
Test combinations with Price Action
Try advanced techniques (divergences, tunnels)
Continue demo trading (minimum 50 trades)
Achieve stable profitability on demo
Result: Win rate 55%+ and Profit Factor 1.5+
Month 3: Real Trading
Goals:
Transition to real account
Maintain discipline
Tasks:
Open small real account
Trade minimum lots
Strictly follow trading plan
DON'T increase risk
Focus on process, not profit
Result: Psychological comfort on real
Month 4+: Scaling
Goals:
Increase account
Become consistently profitable
Tasks:
With 60%+ win rate can increase risk to 2%
Upon doubling account can add capital
Continue keeping journal
Periodically review and improve strategy
Share experience with community
Result: Stable profitability month after month
Additional Resources
Recommended Reading
Technical Analysis:
"Technical Analysis of Financial Markets" - John Murphy
"Trading in the Zone" - Mark Douglas (psychology)
"Market Wizards" - Jack Schwager (trader interviews)
EMA and Moving Averages:
"Moving Averages 101" - Steve Burns
Articles on Investopedia about EMA
Risk Management:
"The Mathematics of Money Management" - Ralph Vince
"Trade Your Way to Financial Freedom" - Van K. Tharp
Trading Journals:
Edgewonk (paid, very powerful)
Tradervue (free version + premium)
Excel/Google Sheets (free)
Screeners:
TradingView Stock Screener
Finviz (stocks)
CoinMarketCap (crypto)
Conclusion
Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines:
Mathematical elegance - Phi, Pi, e instead of arbitrary numbers
Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar
Reliable signals - STRONG BUY/SELL work on all timeframes
Flexibility - 6 EMA types, adaptation to any trading style
Automation - auto-sorting EMAs, SL/TP calculation, alerts
Key Success Principles:
Simplicity - start with basic settings (Phi/Pi/e, Base=10)
Discipline - follow STRONG signals strictly
Patience - wait for quality setups
Risk Management - 1-2% per trade, ALWAYS
Journal - document every trade
Learning - constantly improve skills
Remember:
Indicator shows probability, not guarantee
Important is series statistics, not one trade
Psychology more important than technique
Quality more important than quantity
Process more important than result
Acknowledgments
Thank you for using Hellenic EMA Matrix - Alpha Omega Premium!
The indicator was created with love for mathematics, markets, and beautiful visualization.
Wishing you profitable trading!
Guide Version: 1.0
Date: 2025
Compatibility: Pine Script v6, TradingView
"In the simplicity of mathematical constants lies the complexity of market movements"
Elliott Wave Supply-Demand Strategyelliot wave strategy in chart time frame: The updated Pine Script enhances the Elliott Wave Supply-Demand Strategy by adding lines connecting wave points (1-2-3-4-5 or A-B-C) for visual clarity. It detects impulse (5-point) and ABC (3-point) patterns using pivot highs/lows, storing swings in arrays. Lines are drawn between consecutive wave labels (e.g., 1→2, A→B) using a user-defined color and style (solid, dashed, dotted), with a new show_wave_lines input. A debug label displays swing count, wave detection status, and label count to troubleshoot issues. The visibility window for labels and lines is extended to 1000 bars to ensure recent patterns are shown. Supply/demand zones and Fibonacci extensions remain unchanged, supporting rejection-based trades. If lines don’t appear, check the debug label for low swing counts or adjust pivot_left/pivot_right. The script is optimized for liquid markets (e.g., EUR/USD) and customizable timeframes. Alerts and trading logic are preserved.
US Construction Spending & Manufacturing Employment YoY % ChangeUsage Notes: Timeframe: Use a monthly chart, as TTLCONS and MANEMP are monthly data. Other timeframes result in interpolation.
Data Availability: As of October 2025, TTLCONS is available until July 2025 and MANEMP until August 2025 (automatically via TradingView).
The Unsung Heroes: Why C&M Are the True Indicators
Imagine the economy is a highly sensitive vehicle. Quarterly reported GDP is like a quarterly glance at the odometer—it's slow, often delayed, and clearly refers to the past. Anyone who wants to predict future developments needs something much faster.
This is where construction and manufacturing come into play. These two sectors are the machine builders of the economy and provide us with real-time feedback. They form the backbone of economic forecasting for several important reasons:
1. Monetary policy indicators: Both sectors are highly sensitive to monetary policy developments, such as interest rate changes. If developers are unable to finance large residential or commercial projects and manufacturers postpone capital-intensive factory expansions, for example, declines in construction demand would quickly affect other sectors.
2. The backbone of the secondary sector: These industries constitute the secondary sector of the economy, meaning they are concerned with the actual transformation and production of goods, not just the extraction of raw materials or the provision of intangible services. One could argue that while they only account for about 15% of GDP in the US, their impact is massive and cyclical.
3. The timeliness advantage: Forget quarterly lags. Both construction output and manufacturing employment data are released monthly. This timely, frequent data allows analysts to assess economic momentum much more quickly than if they had to wait for delayed GDP reports.
In the US, some analysts have even titled their articles with the bold claim: "Housing construction is the business cycle." Fluctuations in housing construction are frequent and large, and a decline in activity is almost always accompanied by a subsequent decline in GDP.
NF_PLASMA_SURGE 🧩 NF_PLASMA_SURGE (NightFury Systems)
Author: Lachin M. Akhmedov (aka NightFury)
⚙️ A volumetric impulse oscillator detecting real candle energy through body density, directional momentum, and normalized volatility thrust.
🧠 Core Concept:
Not another RSI. Not another MACD.
NF_PLASMA_SURGE isolates true directional impulse by measuring the physics of price:
Body Energy → how much of each candle’s range is real movement.
Volume Thrust → amplifies strong participation only.
Volatility Normalization → filters emotional spikes and fake momentum.
⚡ Outputs:
Toxic Green = Real buy impulse (surge ignition)
Red Inferno = Real sell impulse (energy drain)
⚡ marks = Charged bursts detected (|z| > threshold)
💫 Synergy:
Designed to integrate with NF_CYBER_FURY as its ignition companion —
Cyber powers the reactor; Plasma lights the core.
🧩 Recommended Stack:
NF_CYBER_FURY + NF_PLASMA_SURGE = The NightFury Reactor System
FluxGate Daily Swing Strategy Summary in one paragraph
FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close.
Scope and intent
• Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs
• Timeframes. From one minute to daily
• Default demo in this publication. SPY on one day timeframe
• Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy
• Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution
Originality and usefulness
• Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another.
• Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean.
• Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common.
• Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart.
• Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number.
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window.
• Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks.
Components
• Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating.
• Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms.
• Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss.
• Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior.
• Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there.
• Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act.
• Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule.
• Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize.
Fusion rule
• Normalize the three drivers after removing overlap
• Blend with weights that adapt to your aggression input
• Multiply by the gates to respect path quality
• Smooth just enough to avoid jitter while keeping timing responsive
• Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign
• The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug
Signal rule
• A long suggestion appears when the long score crosses above its long threshold while all gates are active
• A short suggestion appears when the short score crosses below its short threshold while all gates are active
• If any required gate is missing the state is wait
• When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips
Inputs with guidance
Setup Long
• Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise
• Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing
Setup Short
• Base length Short. Master window for the short engine. Typical range twenty eight to ninety six
• Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols
Entries and UI
• Entry mode. Both or Long only or Short only
Complementary risk engine
• Enable risk engine. Turns on bracket exits while keeping your signal logic untouched
• ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance
• ATR length. Default fourteen
• Stop multiple. Default one point five times the anchor ATR
• Use take profit. On by default
• Take profit in R. Default two R
• Breakeven trigger in R. Default one R
Usage recipes
Intraday trend focus
• Entry mode Both
• ATR anchor Week
• Aggression Long zero point five Aggression Short zero point three
• Stop multiple one point five Take profit two R
• Expect fewer trades that stick to directional pushes and skip treadmill noise
Intraday mean reversion focus
• Session windows optional if you add them in your copy
• ATR anchor Day
• Lower aggression both sides
• Breakeven later and trailing later so the first bounce has room
• This favors fade entries that still convert into trends when the path stays clean
Swing continuation
• Signal timeframe four hours or one day
• Confirm timeframe one day if you choose to include bias
• ATR anchor Week or Month
• Larger base windows and a steady two R target
• This accepts fewer entries and aims for larger holds
Properties visible in this publication
• Initial capital 25.000
• Base currency USD
• Default order size percent of equity value three - 3% of the total capital
• Pyramiding zero
• Commission zero point zero three percent - 0.03% of total capital
• Slippage five ticks
• Process orders on close off
• Recalculate after order is filled off
• Calc on every tick off
• Bar magnifier off
• Any request security calls use lookahead off everywhere
Realism and responsible publication
• No performance promises. Past results never guarantee future outcomes
• Fills and slippage vary by venue and feed
• Strategies run on standard candles only
• Shapes can update while a bar is forming and settle on close
• Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable
Honest limitations and failure modes
• Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads
• Gap heavy symbols often behave better with a True Range basis for risk than a simple range
• Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep
• Session windows follow the exchange time of the chart if you add them
• If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative
Open source reuse and credits
• No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
OPEX VIXEX datesUpdated ohlocracy's OPEX script till 2030
These dates are for standard equity, index, and ETF options expiration managed by OCC, with monthly expirations usually on the third Friday and weekly expirations on other Fridays, except holidays which cause adjustments to Thursdays or nearby trading days.
Quarterly options expiration dates in the US stock market are on the last trading day of the quarter, usually the last business day of March, June, September, and December.
These dates are the last trading day of each quarter, accounting for weekends and holidays when the market is closed. When the last calendar day falls on a weekend, the expiration is set to the last prior trading day.
The VIX monthly expiration is on the Wednesday prior to the stock market monthly opex (third Friday). When holidays affect these days, the expiration shifts to the business day before.
