EMA Cloud + AlertsThe only EMA indicator you'll ever need.
- Flexible EMAs: Customize EMA lengths (e.g., 9, 21) to match your trading style.
- Dynamic Cloud: Auto-shades bullish (green) or bearish (red) clouds between EMAs for clear trend signals.
- Trend Change Alerts: Auto-alerts that signal when a trend change (EMA crossover) happens on the timeframe you're currently viewing.
- Timeframe Lock: Lock EMAs to a specific timeframe (e.g., 5m on a 1m chart) for consistent analysis.
- Personalized Design: Adjust EMA colors, thickness, and cloud transparency for optimal visibility.
A friendly reminder that no tool or indicator guarantees success. Integrate this into a robust trading plan.
Penunjuk dan strategi
EVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA ExitRENEW TRY IT EVWMA VWAP MACD Strategy - HTF Trigger with SL & EMA Exit
20 EMA Undercut Bounce - M4v3r1ck💎 The "EMA Undercut Bounce" Bullish Scanner
This indicator is designed to identify high-conviction continuation patterns where price makes a temporary dip for liquidity before resuming a powerful, established uptrend. It specifically looks for a bullish rejection off the 20-period Exponential Moving Average (EMA).
🎯 Strategy Logic
The signal is generated only on the Daily (1D) timeframe when the following five precise conditions are met on the most recent completed bar:
1. Price Action (The Undercut Bounce)
• Undercut: The bar's low price must have touched or temporarily traded below the 20-Day EMA.
• Rejection: The bar's close price must have fully recovered and closed above the 20-Day EMA. This is the classic sign of strong buying pressure defending a key support level.
2. Strong Trend Hierarchy (The Bullish Stack)
The moving averages must be perfectly stacked, confirming a robust multi-timeframe uptrend structure:
• 10-Day EMA > 20-Day EMA
• 20-Day EMA > 50-Day SMA
• 50-Day SMA > 200-Day SMA
3. Momentum Confirmation (The Upward Slope)
Both the 10-Day EMA and the 20-Day EMA must be rising from the previous day. This ensures that the short-term trend momentum is positive, ruling out signals during flat or turning markets.
💡 How to Use This Indicator
1. Timeframe: Ensure your chart is set to the Daily (1D) timeframe for accurate results.
2. Signal: A Green Background highlight and an Up-Arrow below the bar mark a confirmed signal.
3. Alerts: Use the built-in alert condition to set up notifications for stocks on your watchlist, allowing you to catch these high-quality setups without constantly monitoring charts.
This script is ideal for trend-following traders looking to enter a position after a healthy shakeout and confirmation of continued bullish commitment.
Previous session High/Low – Asia London USA Overview
This indicator automatically plots the Previous Day’s (PD) session Highs and Lows for the Asia (Tokyo), London, and USA (New York) trading sessions.
Each session is color-coded for clarity:
🟩 Asia (Green)
🟥 London (Red)
🟦 USA (Blue)
At the close of each session, the indicator records that session’s high and low, draws horizontal lines across the chart, and labels them neatly in the center of each range — above the high and below the low for perfect visual balance.
⚙️ How It Works
The script continuously tracks the current high and low within each session.
When a session closes, those values are locked in as the PD High and PD Low.
Clean lines and centered labels are drawn immediately.
The labels automatically offset slightly above or below the line to avoid overlap, with user-controlled spacing.
This helps traders quickly identify where price interacts with the previous session’s structure, a core concept for many session-based and liquidity-based strategies.
🧭 Sessions and Timezones
Each market session runs in its native timezone, so you can align them perfectly to your chart or your preferred trading hours:
Asia Session: Default 08:30 – 11:00 (Australia/Adelaide time)
London Session: Default 08:00 – 10:00 (Europe/London)
USA Session: Default 09:30 – 16:00 (America/New_York)
You can change each session’s hours and timezone from the Inputs panel.
🎨 Customization
In the Inputs menu you can:
Toggle each session on or off
Choose line color and thickness
Enable or disable labels
Adjust vertical offset (ticks) for label spacing
“High label offset” – moves label further above the high line
“Low label offset” – moves label further below the low line
These adjustments make it easy to keep charts clean and readable on any instrument or timeframe.
📈 Practical Use
This indicator is ideal for:
Session traders who mark PD Highs/Lows as liquidity zones
London or NY session scalpers who watch for breakouts, fakeouts, or reversals
ICT / Smart Money Concepts users wanting automatic session reference levels
Anyone wanting a quick visual map of inter-session structure
Name of tickerDescription:
This indicator displays the instrument’s ticker symbol and the current chart timeframe at the top center of the chart.
Features:
• Shows the ticker (e.g., BTCUSDT, AAPL, etc.).
• Displays the current timeframe (1m, 5m, 1H, 1D, etc.).
• Positioned at the top center of the chart for easy reference.
• Transparent background for minimal interference with price action.
• Lightweight and simple, no extra settings required.
Usage:
• Works with any instrument: stocks, crypto, futures.
• Useful for traders who want to always see the ticker and timeframe while analyzing the chart.
Settings:
• Text size can be adjusted in the script (text_size).
• Text and background colors can be customized (text_color, bgcolor).
Choppiness Index | CipherDecodedThe Choppiness Index is a multi-timeframe regime indicator that measures whether price action is trending or consolidating.
This recreation was inspired by the Choppiness Index chart from Checkonchain, with full credit to their team for the idea.
🔹 How It Works
CI = 100 * log10( SUM(ATR(1), n) / (highest(high, n) – lowest(low, n)) ) / log10(n)
Where:
n – lookback length (e.g. 14 days / 10 weeks / 10 months)
ATR(1) – true-range of each bar
SUM(ATR(1), n) – total true-range over n bars
highest(high, n) and lowest(low, n) – price range over n bars
Low values → strong trend
High values → sideways consolidation
Below is a simplified function used in the script for computing CI on any timeframe:
f_ci(_n) =>
_tr = ta.tr(true)
_sum = math.sum(_tr, _n)
_hh = ta.highest(high, _n)
_ll = ta.lowest(low, _n)
_rng = _hh - _ll
_rng > 0 ? 100 * math.log10(_sum / _rng) / math.log10(_n) : na
Consolidation Threshold — 50.0
Trend Threshold — 38.2
When Weekly CI < Trend Threshold, a trending zone (yellow) appears.
When Weekly CI > Consolidation Threshold, a consolidation zone (purple) appears.
Users can toggle either background independently.
🔹 Example Background Logic
bgcolor(isTrend and Trend ? color.new(#f3e459, 50) : na, title = "Trending", force_overlay = true)
bgcolor(isConsol and Cons ? color.new(#974aa5, 50) : na, title = "Consolidation", force_overlay = true)
🔹 Usage Tips
Observe the Weekly CI for regime context.
Combine with price structure or trend filters for signal confirmation.
Low CI values (< 38) indicate strong trend activity — the market may soon consolidate to reset.
High CI values (> 60) reflect sideways or range-bound conditions — the market is recharging before a potential new trend.
🔹 Disclaimer
This indicator is provided for educational purposes.
No trading outcomes are guaranteed.
This tool does not guarantee market turns or performance; it should be used as part of a broader system.
Use responsibly and perform your own testing.
🔹 Credits
Concept origin — Checkonchain Choppiness Index
ChadAnt- Ray to 2nd Fractal Time buy/sell strategyUsing Williams Fractals and adding rays that extend to the second fractal after a high/low looking for an entry
Hidden Impulse═══════════════════════════════════════════════════════════════════
HIDDEN IMPULSE - Multi-Timeframe Momentum Detection System
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OVERVIEW
Hidden Impulse is an advanced momentum oscillator that combines the Schaff Trend Cycle (STC) and Force Index into a comprehensive multi-timeframe trading system. Unlike standard implementations of these indicators, this script introduces three distinct trading setups with specific entry conditions, multi-timeframe confirmation, and trend filtering.
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ORIGINALITY & KEY FEATURES
This indicator is original in the following ways:
1. DUAL-TIMEFRAME STC ANALYSIS
Standard STC implementations work on a single timeframe. This script
simultaneously analyzes STC on both your trading timeframe and a higher
timeframe, providing trend context and filtering out low-probability signals.
2. FORCE INDEX INTEGRATION
The script combines STC with Force Index (volume-weighted price momentum)
to confirm the strength behind price moves. This combination helps identify
when momentum shifts are backed by genuine buying/selling pressure.
3. THREE DISTINCT TRADING SETUPS
Rather than generic overbought/oversold signals, the indicator provides
three specific, rule-based setups:
- Setup A: Classic trend-following entries with multi-timeframe confirmation
- Setup B: Divergence-based reversal entries (highest probability)
- Setup C: Mean-reversion bounce trades at extreme levels
4. INTELLIGENT FILTERING
All signals are filtered through:
- 50 EMA trend direction (prevents counter-trend trades)
- Higher timeframe STC alignment (ensures macro trend agreement)
- Force Index confirmation (validates volume support)
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HOW IT WORKS - TECHNICAL EXPLANATION
SCHAFF TREND CYCLE (STC) CALCULATION:
The STC is a cyclical oscillator that combines MACD concepts with stochastic
smoothing to create earlier and smoother trend signals.
Step 1: Calculate MACD
- Fast MA = EMA(close, Length1) — default 23
- Slow MA = EMA(close, Length2) — default 50
- MACD Line = Fast MA - Slow MA
Step 2: First Stochastic Smoothing
- Apply stochastic calculation to MACD
- Stoch1 = 100 × (MACD - Lowest(MACD, Smoothing)) / (Highest(MACD, Smoothing) - Lowest(MACD, Smoothing))
- Smooth result with EMA(Stoch1, Smoothing) — default 10
Step 3: Second Stochastic Smoothing
- Apply stochastic calculation again to the smoothed stochastic
- This creates the final STC value between 0-100
The dual stochastic smoothing makes STC more responsive than MACD while
being smoother than traditional stochastics.
FORCE INDEX CALCULATION:
Force Index measures the power behind price movements by incorporating volume:
Force Raw = (Close - Close ) × Volume
Force Index = EMA(Force Raw, Period) — default 13
Interpretation:
- Positive Force Index = Buying pressure (bulls in control)
- Negative Force Index = Selling pressure (bears in control)
- Force Index crossing zero = Momentum shift
- Divergences with price = Weakening momentum (reversal signal)
TREND FILTER:
A 50-period EMA serves as the trend filter:
- Price above EMA50 = Uptrend → Only LONG signals allowed
- Price below EMA50 = Downtrend → Only SHORT signals allowed
This prevents counter-trend trading which accounts for most losing trades.
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THE THREE TRADING SETUPS - DETAILED
SETUP A: CLASSIC MOMENTUM ENTRY
Concept: Enter when STC exits oversold/overbought zones with trend confirmation
LONG CONDITIONS:
1. Higher timeframe STC > 25 (macro trend is up)
2. Primary timeframe STC crosses above 25 (momentum turning up)
3. Force Index crosses above 0 OR already positive (volume confirms)
4. Price above 50 EMA (local trend is up)
SHORT CONDITIONS:
1. Higher timeframe STC < 75 (macro trend is down)
2. Primary timeframe STC crosses below 75 (momentum turning down)
3. Force Index crosses below 0 OR already negative (volume confirms)
4. Price below 50 EMA (local trend is down)
Best for: Trending markets, continuation trades
Win rate: Moderate (60-65%)
Risk/Reward: 1:2 to 1:3
───────────────────────────────────────────────────────────────────
SETUP B: DIVERGENCE REVERSAL (HIGHEST PROBABILITY)
Concept: Identify exhaustion points where price makes new extremes but
momentum (Force Index) fails to confirm
BULLISH DIVERGENCE:
1. Price makes a lower low (LL) over 10 bars
2. Force Index makes a higher low (HL) — refuses to follow price down
3. STC is below 25 (oversold condition)
Trigger: STC starts rising AND Force Index crosses above zero
BEARISH DIVERGENCE:
1. Price makes a higher high (HH) over 10 bars
2. Force Index makes a lower high (LH) — refuses to follow price up
3. STC is above 75 (overbought condition)
Trigger: STC starts falling AND Force Index crosses below zero
Why this works: Divergences signal that the current trend is losing steam.
When volume (Force Index) doesn't confirm new price extremes, a reversal
is likely.
Best for: Reversal trading, range-bound markets
Win rate: High (70-75%)
Risk/Reward: 1:3 to 1:5
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SETUP C: QUICK BOUNCE AT EXTREMES
Concept: Catch rapid mean-reversion moves when price touches EMA50 in
extreme STC zones
LONG CONDITIONS:
1. Price touches 50 EMA from above (pullback in uptrend)
2. STC < 15 (extreme oversold)
3. Force Index > 0 (buyers stepping in)
SHORT CONDITIONS:
1. Price touches 50 EMA from below (pullback in downtrend)
2. STC > 85 (extreme overbought)
3. Force Index < 0 (sellers stepping in)
Best for: Scalping, quick mean-reversion trades
Win rate: Moderate (55-60%)
Risk/Reward: 1:1 to 1:2
Note: Use tighter stops and quick profit-taking
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HOW TO USE THE INDICATOR
STEP 1: CONFIGURE TIMEFRAMES
Primary Timeframe (STC - Primary Timeframe):
- Leave empty to use your current chart timeframe
- This is where you'll take trades
Higher Timeframe (STC - Higher Timeframe):
- Default: 30 minutes
- Recommended ratios:
* 5min chart → 30min higher TF
* 15min chart → 1H higher TF
* 1H chart → 4H higher TF
* Daily chart → Weekly higher TF
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STEP 2: ADJUST STC PARAMETERS FOR YOUR MARKET
Default (23/50/10) works well for stocks and forex, but adjust for:
CRYPTO (volatile):
- Length 1: 15
- Length 2: 35
- Smoothing: 8
(Faster response for rapid price movements)
STOCKS (standard):
- Length 1: 23
- Length 2: 50
- Smoothing: 10
(Balanced settings)
FOREX MAJORS (slower):
- Length 1: 30
- Length 2: 60
- Smoothing: 12
(Filters out noise in 24/7 markets)
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STEP 3: ENABLE YOUR PREFERRED SETUPS
Toggle setups based on your trading style:
Conservative Trader:
✓ Setup B (Divergence) — highest win rate
✗ Setup A (Classic) — only in strong trends
✗ Setup C (Bounce) — too aggressive
Trend Trader:
✓ Setup A (Classic) — primary signals
✓ Setup B (Divergence) — for entries on pullbacks
✗ Setup C (Bounce) — not suitable for trending
Scalper:
✓ Setup C (Bounce) — quick in-and-out
✓ Setup B (Divergence) — high probability scalps
✗ Setup A (Classic) — too slow
───────────────────────────────────────────────────────────────────
STEP 4: READ THE SIGNALS
ON THE CHART:
Labels appear when conditions are met:
Green labels:
- "LONG A" — Setup A long entry
- "LONG B DIV" — Setup B divergence long (best signal)
- "LONG C" — Setup C bounce long
Red labels:
- "SHORT A" — Setup A short entry
- "SHORT B DIV" — Setup B divergence short (best signal)
- "SHORT C" — Setup C bounce short
IN THE INDICATOR PANEL (bottom):
- Blue line = Primary timeframe STC
- Orange dots = Higher timeframe STC (optional)
- Green/Red bars = Force Index histogram
- Dashed lines at 25/75 = Entry/Exit zones
- Background shading = Oversold (green) / Overbought (red)
INFO TABLE (top-right corner):
Shows real-time status:
- STC values for both timeframes
- Force Index direction
- Price position vs EMA
- Current trend direction
- Active signal type
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TRADING STRATEGY & RISK MANAGEMENT
ENTRY RULES:
Priority ranking (best to worst):
1st: Setup B (Divergence) — wait for these
2nd: Setup A (Classic) — in confirmed trends only
3rd: Setup C (Bounce) — scalping only
Confirmation checklist before entry:
☑ Signal label appears on chart
☑ TREND in info table matches signal direction
☑ Higher timeframe STC aligned (check orange dots or table)
☑ Force Index confirming (check histogram color)
───────────────────────────────────────────────────────────────────
STOP LOSS PLACEMENT:
Setup A (Classic):
- LONG: Below recent swing low
- SHORT: Above recent swing high
- Typical: 1-2 ATR distance
Setup B (Divergence):
- LONG: Below the divergence low
- SHORT: Above the divergence high
- Typical: 0.5-1.5 ATR distance
Setup C (Bounce):
- LONG: 5-10 pips below EMA50
- SHORT: 5-10 pips above EMA50
- Typical: 0.3-0.8 ATR distance
───────────────────────────────────────────────────────────────────
TAKE PROFIT TARGETS:
Conservative approach:
- Exit when STC reaches opposite level
- LONG: Exit when STC > 75
- SHORT: Exit when STC < 25
Aggressive approach:
- Hold until opposite signal appears
- Trail stop as STC moves in your favor
Partial profits:
- Take 50% at 1:2 risk/reward
- Let remaining 50% run to target
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WHAT TO AVOID:
❌ Trading Setup A in sideways/choppy markets
→ Wait for clear trend or use Setup B only
❌ Ignoring higher timeframe STC
→ Always check orange dots align with your direction
❌ Taking signals against the major trend
→ If weekly trend is down, be cautious with longs
❌ Overtrading Setup C
→ Maximum 2-3 bounce trades per session
❌ Trading during low volume periods
→ Force Index becomes unreliable
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ALERTS CONFIGURATION
The indicator includes 8 alert types:
Individual setup alerts:
- "Setup A - LONG" / "Setup A - SHORT"
- "Setup B - DIV LONG" / "Setup B - DIV SHORT" ⭐ recommended
- "Setup C - BOUNCE LONG" / "Setup C - BOUNCE SHORT"
Combined alerts:
- "ANY LONG" — fires on any long signal
- "ANY SHORT" — fires on any short signal
Recommended alert setup:
- Create "Setup B - DIV LONG" and "Setup B - DIV SHORT" alerts
- These are the highest probability signals
- Set "Once Per Bar Close" to avoid false alerts
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VISUALIZATION SETTINGS
Show Labels on Chart:
Toggle on/off the signal labels (green/red)
Disable for cleaner chart once you're familiar with the indicator
Show Higher TF STC:
Toggle the orange dots showing higher timeframe STC
Useful for visual confirmation of multi-timeframe alignment
Info Panel:
Cannot be disabled — always shows current status
Positioned top-right to avoid chart interference
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EXAMPLE TRADE WALKTHROUGH
SETUP B DIVERGENCE LONG EXAMPLE:
1. Market Context:
- Price in downtrend, below 50 EMA
- Multiple lower lows forming
- STC below 25 (oversold)
2. Divergence Formation:
- Price makes new low at $45.20
- Force Index refuses to make new low (higher low forms)
- This indicates selling pressure weakening
3. Signal Trigger:
- STC starts turning up
- Force Index crosses above zero
- Label appears: "LONG B DIV"
4. Trade Execution:
- Entry: $45.50 (current price at signal)
- Stop Loss: $44.80 (below divergence low)
- Target 1: $47.90 (STC reaches 75) — risk/reward 1:3.4
- Target 2: Opposite signal or trail stop
5. Trade Management:
- Price rallies to $47.20
- STC reaches 68 (approaching target zone)
- Take 50% profit, move stop to breakeven
- Exit remaining at $48.10 when STC crosses 75
Result: 3.7R gain
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ADVANCED TIPS
1. MULTI-TIMEFRAME CONFLUENCE
For highest probability trades, wait for:
- Primary TF signal
- Higher TF STC aligned (>25 for longs, <75 for shorts)
- Even higher TF trend in same direction (manual check)
2. VOLUME CONFIRMATION
Watch the Force Index histogram:
- Increasing bar size = Strengthening momentum
- Decreasing bar size = Weakening momentum
- Use this to gauge signal strength
3. AVOID THESE MARKET CONDITIONS
- Major news events (Force Index becomes erratic)
- Market open first 30 minutes (volatility spikes)
- Low liquidity instruments (Force Index unreliable)
- Extreme trending days (wait for pullbacks)
4. COMBINE WITH SUPPORT/RESISTANCE
Best signals occur near:
- Key horizontal levels
- Fibonacci retracements
- Previous day's high/low
- Psychological round numbers
5. SESSION AWARENESS
- Asia session: Use lower timeframes, Setup C works well
- London session: Setup A and B both effective
- New York session: All setups work, highest volume
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INDICATOR WINDOWS LAYOUT
MAIN CHART:
- Price action
- 50 EMA (green/red)
- Signal labels
- Info panel
INDICATOR WINDOW:
- STC oscillator (blue line, 0-100 scale)
- Higher TF STC (orange dots, optional)
- Force Index histogram (green/red bars)
- Reference levels (25, 50, 75)
- Background zones (green oversold, red overbought)
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PERFORMANCE OPTIMIZATION
For best results:
Backtesting:
- Test on your specific instrument and timeframe
- Adjust STC parameters if win rate < 55%
- Record which setup works best for your market
Position Sizing:
- Risk 1-2% per trade
- Setup B can use 2% risk (higher win rate)
- Setup C should use 1% risk (lower win rate)
Trade Frequency:
- Setup B: 2-5 signals per week (be patient)
- Setup A: 5-10 signals per week
- Setup C: 10+ signals per week (scalping)
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CREDITS & REFERENCES
This indicator builds upon established technical analysis concepts:
Schaff Trend Cycle:
- Developed by Doug Schaff (1996)
- Original concept published in Technical Analysis of Stocks & Commodities
- Implementation based on standard STC formula
Force Index:
- Developed by Dr. Alexander Elder
- Described in "Trading for a Living" (1993)
- Classic volume-momentum indicator
The multi-timeframe integration, three-setup system, and specific
entry conditions are original contributions of this indicator.
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DISCLAIMER
This indicator is a technical analysis tool and does not guarantee profits.
Past performance is not indicative of future results. Always:
- Use proper risk management
- Test on demo account first
- Combine with fundamental analysis
- Never risk more than you can afford to lose
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SUPPORT & QUESTIONS
If you find this indicator helpful, please:
- Leave a like and comment
- Share your feedback and results
- Report any bugs or issues
For questions about usage or optimization for specific markets,
feel free to comment below.
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Renko BandsThis is renko without the candles, just the endpoint plotted as a line with bands around it that represent the brick size. The idea came from thinking about what renko actually gives you once you strip away the visual brick format. At its core, renko is a filtered price series that only updates when price moves a fixed amount, which means it's inherently a trend-following mechanism with built-in noise reduction. By plotting just the renko price level and surrounding it with bands at the brick threshold distances, you get something that works like regular volatility bands while still behaving as a trend indicator.
The center line is the current renko price, which trails actual price based on whichever brick sizing method you've selected. When price moves enough to complete a brick in the renko calculation, the center line jumps to the new brick level. The bands sit at plus and minus one brick size from that center line, showing you exactly how far price needs to move before the next brick would form. This makes the bands function as dynamic breakout levels. When price touches or crosses a band, you know a new renko brick is forming and the trend calculation is updating.
What makes this cool is the dual-purpose nature. You can use it like traditional volatility bands where the outer edges represent boundaries of normal price movement, and breaks beyond those boundaries signal potential trend continuation or exhaustion. But because the underlying calculation is renko rather than standard deviation or ATR around a moving average, the bands also give you direct insight into trend state. When the center line is rising consistently and price stays near the upper band, you're in a clean uptrend. When it's falling and price hugs the lower band, downtrend. When the center line is flat and price is bouncing between both bands, you're ranging.
The three brick sizing methods work the same way as standard renko implementations. Traditional sizing uses a fixed price range, so your bands are always the same absolute distance from the center line. ATR-based sizing calculates brick range from historical volatility, which makes the bands expand and contract based on the ATR measurement you chose at startup. Percentage-based sizing scales the brick size with price level, so the bands naturally widen as price increases and narrow as it decreases. This automatic scaling is particularly useful for instruments that move proportionally rather than in fixed increments.
The visual simplicity compared to full renko bricks makes this more practical for overlay use on your main chart. Instead of trying to read brick patterns in a separate pane or cluttering your price chart with boxes and lines, you get a single smoothed line with two bands that convey the same information about trend state and momentum. The center line shows you the filtered trend direction, the bands show you the threshold levels, and the relationship between price and the bands tells you whether the current move has legs or is stalling out.
From a trend-following perspective, the renko line naturally stays flat during consolidation and only moves when directional momentum is strong enough to complete bricks. This built-in filter removes a lot of the whipsaw that affects moving averages during choppy periods. Traditional moving averages continue updating with every bar regardless of whether meaningful directional movement is happening, which leads to false signals when price is just oscillating. The renko line only responds to sustained moves that meet the brick size threshold, so it tends to stay quiet when price is going nowhere and only signals when something is actually happening.
The bands also serve as natural stop-loss or profit-target references since they represent the distance price needs to move before the trend calculation changes. If you're long and the renko line is rising, you might place stops below the lower band on the theory that if price falls far enough to reverse the renko trend, your thesis is probably invalidated. Conversely, the upper band can mark levels where you'd expect the current brick to complete and potentially see some consolidation or pullback before the next brick forms.
What this really highlights is that renko's value isn't just in the brick visualization, it's in the underlying filtering mechanism. By extracting that mechanism and presenting it in a more traditional band format, you get access to renko's trend-following properties without needing to commit to the brick chart aesthetic or deal with the complications of overlaying brick drawings on a time-based chart. It's renko after all, so you get the trend filtering and directional clarity that makes renko useful, but packaged in a way that integrates more naturally with standard technical analysis workflows.
UTS CORE + BOS + CHOCH – RR/TP/SL 📊 Indicator Working Principle
### 🔹 1. BOS (Break of Structure)
* **Definition:** Occurs when the price breaks the previous swing high or swing low level.
* **Interpretation:**
* If the last high is broken upwards → **Bullish BOS** (confirmation of uptrend).
* If the last low is broken downwards → **Bearish BOS** (confirmation of downtrend).
---
### 🔹 2. CHOCH (Change of Character)
* **Definition:** Indicates a trend reversal.
* **Interpretation:**
* In an uptrend, if the last low is broken downwards → **CHOCH↓** (start of downtrend).
* In a downtrend, if the last high is broken upwards → **CHOCH↑** (start of uptrend).
* **Chart:** Blue “CHOCH↑” labels on the chart mark trend reversals.
---
### 🔹 3. FVG (Fair Value Gap)
* **Definition:** A price gap formed between 3 candles.
* **Logic:**
* If the low of one candle stays above the high of the candle two bars back, a gap is created.
* Price tends to return to these gaps to “fill” them.
* **Chart:** The indicator highlights these gaps automatically (green/purple lines).
---
### 🔹 4. Signal Generation (BUY / SELL)
* A valid BOS or CHOCH confirmation + presence of FVG → **signal is triggered.**
* **Rules:**
* Upward break → **BUY signal**
* Downward break → **SELL signal**
* **Chart:** Red “SELL” and green “BUY” labels represent these trade signals.
---
### 🔹 5. RR – TP/SL Management
* When a trade is opened, the indicator automatically calculates **Entry, Stop Loss (SL), and Take Profits (TP1, TP2, TP3).**
* **Risk/Reward ratios:**
* TP1 = 1R
* TP2 = 2R
* TP3 = 3R
* If TP1 is hit and “Breakeven” option is enabled → SL moves to entry (risk-free trade).
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👉 In short: this indicator tracks **market structure (BOS/CHOCH)**, detects **imbalances (FVG)**, and combines them with **risk/reward management (TP/SL)** to give you a ready-made trade
Blue Dot Red DotInspired by Dr Wish
This script is a confluence indicator designed to identify potential trend reversals or "mean reversion" trade setups. It plots buy (blue) and sell (red) dots directly on your price chart.
The core strategy is to find moments where price is overextended (using Bollinger Bands) and momentum is simultaneously reversing (using the Stochastic Oscillator). A signal is only generated when both of these conditions are met.
Core Components
The script combines two classic technical indicators:
Bollinger Bands (BB):
These create a "channel" around the price based on a simple moving average (the basis) and a standard deviation (dev).
Upper Band: Basis + (2.0 * StdDev)
Lower Band: Basis - (2.0 * StdDev)
In this script, the bands are used to identify when the price has moved significantly far from its recent average, suggesting it's "overbought" (at the upper band) or "oversold" (at the lower band) and may be due for a pullback.
Stochastic Oscillator:
This is a momentum oscillator that compares a closing price to its price range over a certain period.
It consists of two lines: %K (the main, faster line) and %D (a moving average of %K, the slower signal line).
It's used to identify overbought and oversold momentum conditions and, more importantly, momentum shifts, which are signaled by the %K and %D lines crossing.
Signal Logic: How the Dots Are Generated
This script's "secret sauce" is that it demands three specific conditions to be true at the same time before plotting a dot.
🔵 Blue Dot (Buy Signal)
A blue dot will appear below a price bar if all three of these conditions are met:
Stochastic Crossover: The faster %K line crosses above the slower %D line (ta.crossover(k, d)). This signals that short-term momentum is starting to turn bullish.
Was Oversold: On the previous bar, the %K line was below the "Oversold Threshold" (was_oversold = k < oversold). This ensures the bullish crossover is happening from an oversold (or at least bearish) momentum state.
Note: The default oversold threshold is set to 50. This is a key detail. It means the script is looking for a bullish crossover that originates from anywhere in the bottom half of the Stochastic range, not just the traditional "extreme" oversold area (like 20).
Price Extension: Within the last 3 bars (the current bar or the two before it), the price's low must have touched or gone below the lower Bollinger Band (bb_touch_lower). This confirms that the price itself is in an "oversold" or overextended area.
In plain English: A blue dot appears when the price has recently dipped to an extreme low (touching the lower BB) and its underlying momentum has just started to turn back up (Stoch cross from the lower half).
🔴 Red Dot (Sell Signal)
A red dot will appear above a price bar if all three of these conditions are met:
Stochastic Crossunder: The faster %K line crosses below the slower %D line (ta.crossunder(k, d)). This signals that short-term momentum is starting to turn bearish.
Was Overbought: On the previous bar, the %K line was above the "Overbought Threshold" (was_overbought = k > overbought). The default for this is 80, which is a traditional overbought level.
Price Extension: Within the last 3 bars (the current bar or the two before it), the price's high must have touched or gone above the upper Bollinger Band (bb_touch_upper). This confirms that the price itself is in an "overbought" or overextended area.
A red dot appears when the price has recently spiked to an extreme high (touching the upper BB) and its underlying momentum has just started to roll over and turn back down (Stoch cross from the overbought zone).
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt
A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities.
🎯 What Makes This Indicator Unique?
This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels:
ALMA uses Gaussian distribution for superior price smoothing with minimal lag
Dynamic envelopes based on Gaussian probability zones
Multi-layer gradient visualization showing probability density
Adaptive envelope modes that respond to market conditions
📊 Core Components
1. Arnaud Legoux Moving Average (ALMA)
The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters:
ALMA Period: Controls the lookback window (default: 21)
Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85)
Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0)
2. Gaussian Envelope System
The indicator features three envelope calculation modes:
Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing
Adaptive Mode: Dynamically adjusts based on price acceleration and volatility
Hybrid Mode: Combines ATR and standard deviation for balanced adaptation
The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities.
3. Momentum-Adjusted Envelopes
The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels.
⚡ Key Features
Multi-Layer Gradient Visualization
The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess:
Distance from the mean
Potential support/resistance strength
Overbought/oversold conditions in context
Dynamic Color Coding
Cyan gradient: Price below ALMA (bullish zone)
Magenta gradient: Price above ALMA (bearish zone)
The ALMA line itself changes color based on price position
Trend Regime Detection
The indicator automatically identifies market regimes:
Strong Uptrend: Trend strength > 0.5% with price above ALMA
Strong Downtrend: Trend strength < -0.5% with price below ALMA
Weak trends and ranging conditions
📈 Trading Strategies
Mean Reversion Strategy
Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable.
Signals:
Long: Price in lower Gaussian zone with trend strength > -0.5%
Short: Price in upper Gaussian zone with trend strength < 0.5%
Trend Continuation Strategy
Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference.
Signals:
Long: Price crosses above ALMA during strong uptrend
Short: Price crosses below ALMA during strong downtrend
🎨 Visualization Guide
The gradient layers create a "probability cloud" around the ALMA:
Darker shades (near ALMA): High probability zone - price tends to stay here
Lighter shades (near envelope edges): Lower probability - potential reversal zones
Price at envelope extremes: Statistical outliers - strongest mean reversion setups
⚙️ Customization Options
ALMA Parameters
Adjust period for different timeframes (lower for day trading, higher for swing trading)
Modify offset to tune responsiveness vs. smoothness
Change sigma to control distribution width
Envelope Configuration
Choose envelope mode based on market characteristics
Adjust multiplier to match instrument volatility
Modify gradient depth for visual preference (5-15 layers)
Signal Enhancement
Momentum Length: Lookback for trend strength calculation
Signal Smoothing: Additional EMA smoothing to reduce noise
🔔 Built-in Alerts
The indicator includes six pre-configured alert conditions:
ALMA Trend Long - Price crosses above ALMA in strong uptrend
ALMA Trend Short - Price crosses below ALMA in strong downtrend
Mean Reversion Long - Price enters lower Gaussian zone
Mean Reversion Short - Price enters upper Gaussian zone
Strong Uptrend Detected - Momentum confirms strong bullish regime
Strong Downtrend Detected - Momentum confirms strong bearish regime
💡 Best Practices
Use on clean, liquid markets with consistent volatility
Combine with volume analysis for confirmation
Adjust envelope multiplier based on backtesting for your specific instrument
Higher timeframes (4H+) generally provide more reliable signals
Use adaptive mode for trending markets, hybrid for mixed conditions
⚠️ Important Notes
This indicator works best in markets with normal price distribution
Extreme news events can invalidate Gaussian assumptions temporarily
Always use proper risk management - no indicator is perfect
Backtest parameters on your specific instrument and timeframe
🔬 Technical Background
The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes.
The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles.
Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
Dual RVI Divergence Detector: Volatility + Vigor
This script combines two distinct but complementary momentum oscillators—the Relative Volatility Index (RVI Volatility) by Donald Dorsey and the Relative Vigor Index (RVI Vigor) by John Ehlers—into a single, unified divergence detection system.
Why combine them?
RVI Volatility measures the directional consistency of volatility, helping identify overbought/oversold conditions based on price dispersion.
RVI Vigor measures the strength of price movement relative to its range, reflecting market conviction through the relationship between open/close and high/low.
While both are called "RVI", they are fundamentally different indicators with unique mathematical foundations. Using them together provides convergent confirmation: when both oscillators show bullish (or bearish) divergence at the same time, the signal gains statistical robustness. This reduces false positives compared to using either in isolation.
Key Original Enhancements (by Carlos Mauricio Vizcarra, 2025):
Dynamic normalization: The Vigor oscillator (normally centered near 0) is scaled to the 0–100 range of the Volatility RVI, enabling direct visual comparison in a single panel without distortion.
Independent divergence logic: Each oscillator retains its own pivot detection, divergence conditions (regular + hidden), and visual markers ("R"/"H" labels + connecting lines).
User-controlled visibility: Traders can toggle each RVI on/off to focus on one signal or compare both.
Full compliance with MPL 2.0: Original authors are credited, and all reused concepts are properly attributed.
How to Use:
Look for aligned divergences (e.g., bullish divergence on both RVIs) for high-probability reversals.
Use hidden divergences for trend-continuation signals.
The SMA filters (configurable) help smooth noise.
All alerts are included for automated scanning.
Note: This is not a simple "mashup". It solves a real analytical problem: comparing structurally different oscillators on equal visual footing while preserving their unique divergence behaviors—something not available in any single existing indicator.
Additional Compliance Notes :
No emoji or non-ASCII characters in title
English-first description (you may add Spanish after if desired)
Clear justification for combining two indicators
Explanation of calculations (Dorsey vs. Ehlers)
Highlight of original contributions (normalization, dual divergence logic, UI controls)
No promotion, links, or contact info
Clean chart recommended: publish with only this script active, no other indicators or drawings
SMC + CRT Gold Flow PRO — Fixed RGB ColorsSCRIPT FOR GOLD. I used SMC + CRT strategies. I analyze in H4 timeframe and enter in m15 time frame.
Enhanced SMA RibbonThe "Enhanced SMA Ribbon" indicator, implemented in TradingView's Pine Script, is a technical analysis tool that overlays multiple Simple Moving Averages (SMAs) on a price chart to help traders identify trends, potential reversals, and the overall market direction. Here's a detailed explanation of what it does:
What It Does
Calculates Multiple SMAs:
The indicator calculates 13 SMAs with different periods: 5, 6, 8, 10, 15, 20, 30, 50, 75, 100, 150, 200, and 300 bars.
Each SMA is based on the closing price (close) of the chart's data, smoothing out price fluctuations over the specified number of periods to reveal underlying trends.
Creates a Ribbon Effect:
These SMAs are plotted as lines on the chart, forming a "ribbon" where the lines spread out or converge based on the price action.
Shorter-period SMAs (e.g., 5, 6, 8) react quickly to price changes, while longer-period SMAs (e.g., 200, 300) move more slowly, creating a visual gradient of trend strength.
Visualizes Trend Direction:
When the ribbon fans out and all SMAs slope upward (e.g., shorter SMAs above longer ones), it indicates a strong uptrend.
When the ribbon compresses and slopes downward (e.g., shorter SMAs below longer ones), it suggests a downtrend.
A flat or converging ribbon can signal a consolidation phase or potential reversal.
Uses Distinct Colors:
Each SMA is assigned a unique color using RGB values, transitioning from red (short-term, e.g., SMA 5) to gray (long-term, e.g., SMA 300). The colors are:
SMA 5: Red (#FF0000)
SMA 6: OrangeRed (#FF4500)
SMA 8: Orange (#FFA500)
SMA 10: Yellow (#FFFF00)
SMA 15: GreenYellow (#ADFF2F)
SMA 20: Green (#00FF00)
SMA 30: Cyan (#00FFFF)
SMA 50: DodgerBlue (#1E90FF)
SMA 75: Blue (#0000FF)
SMA 100: Purple (#800080)
SMA 150: Magenta (#FF00FF)
SMA 200: DarkTurquoise (#00CED1)
SMA 300: Gray (#808080)
This color gradient helps traders quickly distinguish between short-, medium-, and long-term trends.
Overlays on Price Chart:
The indicator is set to overlay=true, meaning it plots directly on the price chart (e.g., candlesticks or bars) rather than in a separate pane, allowing for direct comparison with price movements.
How Traders Use It
Trend Confirmation: A widening ribbon with upward-sloping SMAs confirms a bullish trend, while a narrowing ribbon with downward-sloping SMAs confirms a bearish trend.
Crossover Signals: Crossovers between shorter and longer SMAs (e.g., SMA 5 crossing SMA 50) can indicate potential buy or sell signals, though this requires additional logic (not included here).
Support and Resistance: Longer SMAs (e.g., 200, 300) often act as dynamic support or resistance levels.
Market Context: The ribbon provides a multi-timeframe view, combining short-term reactions with long-term trends, useful for swing traders or those analyzing market cycles.
Example Behavior
In an uptrend, the price might stay above the ribbon, with shorter SMAs (e.g., 5, 10) leading the upward movement, followed by longer SMAs (e.g., 200, 300) catching up.
In a downtrend, the price might fall below the ribbon, with shorter SMAs dropping first, creating a red-dominated lower section.
During consolidation, the SMAs might bunch together, forming a tight ribbon with minimal slope.
Limitations
The indicator can become cluttered on lower timeframes (e.g., 1-minute charts) due to the number of lines.
It’s a lagging indicator since SMAs are based on past data, so it’s best used with other tools (e.g., RSI, MACD) for confirmation.
Z-Cum Delta 4U [ZuperView]Z-Cum Delta 4U is an order flow indicator that helps traders see through price action and determine whether aggressive buying or selling pressure is dominating the market.
By accumulating delta volume over time, it paints a clear picture of how control shifts between buyers and sellers.
📌 Key features
🔸 Market control transition
Z-Cum Delta 4U detects when market pressure is likely to shift from one side to the other.
Bullish reversal signal
When the histogram turns from red (negative) to green (positive), buyers have absorbed selling pressure.
This indicates accumulation at the bottom and offers a strong Buy opportunity.
Bearish reversal signal
When the histogram turns from green to red, selling pressure has overtaken buying pressure.
This often marks a market top and the start of a distribution phase, providing a reliable Sell opportunity.
🔸 Early momentum warnings
Traders usually don’t wait for the histogram to change color. They compare it with moving averages to identify early signs of momentum exhaustion, serving as an early warning of a potential reversal.
When the histogram reaches extreme positive or negative levels, it reflects strong momentum, making an immediate reversal unlikely.
Momentum weakening in an uptrend:
This is an early warning that the uptrend may be weakening before the histogram turns red.
Interpretation: Aggressive buying momentum is fading; upward strength is weakening.
Action: Tighten risk management, adjust stop-loss levels, or take partial profits to protect gains and prepare for a potential pullback.
Momentum weakening in a downtrend:
This is an early warning that the downtrend may be weakening before the histogram turns green.
Interpretation: Selling pressure is fading as buyers begin to absorb volume quietly.
Action: Close short positions, lock in profits, and prepare for potential long entries once a reversal confirmation appears.
🔸 Divergence detection
Divergence between price and the histogram of Z-Cum Delta 4U highlights a mismatch between price action and actual market pressure.
Positive divergence
Condition: Price forms a lower low, while the indicator forms a higher low.
Interpretation: Selling pressure is losing momentum while smart money accumulates – signaling a potential bullish reversal.
Negative divergence
Condition: Price forms a higher high, while the histogram forms a lower high.
Interpretation: Price is being pushed higher by weak or declining buying pressure – a potential bull trap warning of a sell-off.
🔸 Volume exhaustion and absorption
Z-Cum Delta 4U also helps identify final moves by dominant participants – often marking the end of a major trend.
Volume exhaustion
When the histogram spikes sharply to an extreme (positive or negative) and immediately reverses, it indicates that the last buyers or sellers have stepped in.
The market has run out of opposing liquidity, often leading to a sharp reversal.
Volume absorption
When the histogram rises or falls strongly near a key support or resistance level but the price fails to move further, it shows that large opposing orders are being absorbed.
Once absorption is complete, the price often breaks out decisively in the direction of the absorbing side.
In summary, the indicator enables traders to interpret smart money behavior through order flow dynamics.
By combining early warning signals (via the MA), divergence analysis, and volume absorption patterns, traders can move from reacting to price action to anticipating it – gaining a genuine strategic edge.
📌 Signal mechanism
These 3 signal types form an analytical framework for understanding market behavior, from confirming trend reversals and assessing momentum strength to detecting early reversal warnings.
🔸 Reversal signal
Based on the histogram color transitions, this signal represents a shift in control between buyers and sellers.
Bullish reversal signal
When the histogram changes from red to green.
→ Selling pressure has been absorbed, and aggressive buyers have regained control, confirming a likely bottom and a strong buy signal.
Bearish reversal signal
When the histogram changes from green to red.
→ Buying pressure is exhausted, and aggressive sellers dominate, confirming a likely top and a strong sell signal.
🔸 Momentum signal
This signal uses the indicator’s moving average as a benchmark to gauge the strength and sustainability of order flow.
Mechanism: Triggered when the histogram crosses its MA in the direction of the trend.
Meaning:
Uptrend: When the histogram rises above its MA → strong, sustained buying pressure from institutional activity.
Downtrend: When the histogram falls below its MA → dominant selling pressure drives continuation.
Action: Hold or scale into positions aligned with the trend, as the move is supported by persistent order flow.
🔸 Early reversal signal
This signal allows traders to optimize entry and exit points before a reversal occurs.
Mechanism:
Uptrend: When the histogram remains positive but declines and crosses below its MA.
Downtrend: When the histogram remains negative but rises and crosses above its MA.
Meaning: Momentum exhaustion in the dominant force (buyers in uptrends or sellers in downtrends). The color hasn’t flipped yet, but the intensity has weakened significantly.
Action:
Tighten stop-loss levels
Take partial profits
Prepare for a possible reversal signal
Daily Pivot Points LEVELS S-RThis indicator plots daily pivot points based on the previous day’s high, low, and close. It displays the main pivot line, as well as the first levels of support (S1) and resistance (R1), with optional second levels (R2, S2) for additional reference. Ideal for
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════
MULTI-TIMEFRAME EMA TREND DASHBOARD
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OVERVIEW
This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis.
The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons.
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FEATURES
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MULTI-TIMEFRAME ANALYSIS
• Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D
• Each timeframe analyzed independently using request.security()
• Non-repainting implementation with proper lookahead settings
• Calculates overall trend strength as percentage of bullish timeframes
EMA CROSSOVER SYSTEM
• Fast EMA (default: 20) and Slow EMA (default: 50)
• Bullish: Fast EMA > Slow EMA
• Bearish: Fast EMA < Slow EMA
• Neutral: Fast EMA = Slow EMA (rare condition)
• Visual EMA plots with optional fill area
VOLUME CONFIRMATION
• Optional volume filter for crossover signals
• Compares current volume against moving average (default: 20-period SMA)
• Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones
• Used in quality score calculation
• Optional display toggle
SUPPORT & RESISTANCE DETECTION
• Automatic detection using highest/lowest over lookback period (default: 50 bars)
• Plots resistance (red), support (green), and mid-level (gray)
• Step-line style for clear visualization
• Optional display toggle
QUALITY SCORING SYSTEM
• Rates trade setups from 1-5 stars
• Considers: MTF alignment, volume confirmation, RSI positioning
• 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70
• 4 stars: 4+ timeframes aligned + volume confirmed
• 3 stars: 3+ timeframes aligned
• 2 stars: Exactly 3 timeframes aligned
• 1 star: Other conditions
VISUAL DASHBOARD
• Clean table display (position customizable)
• Color-coded trend indicators (green/red/yellow)
• Extended statistics panel (toggleable)
• Shows: Trends, Strength, Quality, RSI, Volume, Price Distance
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TECHNICAL SPECIFICATIONS
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CALCULATIONS
Trend Determination per Timeframe:
• request.security() fetches EMA values with gaps=off, lookahead=off
• Compares Fast EMA vs Slow EMA
• Returns: 1 (bullish), -1 (bearish), 0 (neutral)
Trend Strength:
• Counts number of bullish timeframes
• Formula: (bullish_count / 6) × 100
• Range: 0% (all bearish) to 100% (all bullish)
Price Distance from EMA:
• Formula: ((close - EMA) / EMA) × 100
• Positive: Price above EMA
• Negative: Price below EMA
• Warning when absolute distance > 5%
ANTI-REPAINTING MEASURES
• All request.security() calls use lookahead=barmerge.lookahead_off
• Dashboard updates only on barstate.islast
• Historical bars remain unchanged
• Crossover signals finalize on bar close
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USAGE GUIDE
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INTERPRETING THE DASHBOARD
Timeframe Rows:
• Each row shows individual timeframe trend status
• Look for alignment (multiple timeframes same direction)
• Higher timeframes generally more significant
Strength Indicator:
• >66.67%: Strong bullish (4+ timeframes bullish)
• 33.33-66.67%: Mixed/choppy conditions
• <33.33%: Strong bearish (4+ timeframes bearish)
Quality Score:
• Higher stars = better confluence of factors
• 5-star setups have strongest multi-factor confirmation
• Lower scores may indicate weaker or conflicting signals
SUGGESTED APPLICATIONS
Trend Confirmation:
• Check if multiple timeframes confirm current chart trend
• Higher agreement = stronger trend confidence
• Use for position sizing decisions
Entry Timing:
• Wait for EMA crossover on chart timeframe
• Confirm with higher timeframe alignment
• Volume above average preferred
• RSI not in extreme zones
Divergence Detection:
• When lower timeframes diverge from higher
• May indicate trend exhaustion or reversal
• Requires additional confirmation
CUSTOMIZATION
EMA Settings:
• Adjust Fast/Slow lengths for different sensitivities
• Shorter periods = more responsive, more signals
• Longer periods = smoother, fewer signals
• Common alternatives: 10/30, 12/26, 50/200
Volume Filter:
• Enable for higher-quality signals (fewer false positives)
• Disable in always-liquid markets or for more signals
• Adjust MA length based on typical volume patterns
Display Options:
• Toggle EMAs, S/R levels, extended stats as needed
• Choose dashboard position to avoid chart overlap
• Adjust colors for visibility preferences
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ALERTS
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AVAILABLE ALERT CONDITIONS
1. Bullish EMA Cross (Volume Confirmed)
2. Bearish EMA Cross (Volume Confirmed)
3. Strong Bullish Alignment (4+ timeframes)
4. Strong Bearish Alignment (4+ timeframes)
5. Trend Strength Increasing (>16.67% jump)
6. Trend Strength Decreasing (>16.67% drop)
7. Excellent Trade Setup (5-star rating)
Alert messages use standard placeholders:
• {{ticker}} - Symbol name
• {{close}} - Current close price
• {{time}} - Bar timestamp
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LIMITATIONS & CONSIDERATIONS
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KNOWN LIMITATIONS
• Lower timeframe data may not be available on all symbols
• 1-minute data typically limited to recent history
• request.security() subject to TradingView data limits
• Dashboard requires screen space (may overlap on small screens)
• More complex calculations may affect load time on slower devices
NOT SUITABLE FOR
• Highly volatile/illiquid instruments (many false signals)
• News-driven markets during announcements
• Automated trading without additional filters
• Markets where EMA strategies don't perform well
DOES NOT PROVIDE
• Exact entry/exit prices
• Stop-loss or take-profit levels
• Position sizing recommendations
• Guaranteed profit signals
• Market predictions
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BEST PRACTICES
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RECOMMENDED USAGE
✓ Combine with price action analysis
✓ Use appropriate risk management
✓ Backtest on historical data before live use
✓ Adjust settings for specific market characteristics
✓ Wait for higher-quality setups in important trades
✓ Consider overall market context and fundamentals
NOT RECOMMENDED
✗ Using as standalone trading system without confirmation
✗ Trading every signal without discretion
✗ Ignoring risk management principles
✗ Trading without understanding the methodology
✗ Applying to unsuitable markets/timeframes
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EDUCATIONAL BACKGROUND
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EMA CROSSOVER STRATEGY
The Exponential Moving Average crossover is a classical trend-following technique:
• Golden Cross: Fast EMA crosses above Slow EMA (bullish signal)
• Death Cross: Fast EMA crosses below Slow EMA (bearish signal)
• Widely used since the 1970s in various markets
• More responsive than SMA due to exponential weighting
MULTI-TIMEFRAME ANALYSIS
Analyzing multiple timeframes helps traders:
• Identify alignment between short and long-term trends
• Reduce false signals from single-timeframe noise
• Understand market context across different horizons
• Make informed decisions about trade duration
VOLUME ANALYSIS
Volume confirmation adds reliability:
• High volume suggests institutional participation
• Low volume signals may indicate false breakouts
• Volume precedes price in many market theories
• Helps distinguish genuine moves from noise
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TECHNICAL IMPLEMENTATION
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CODE STRUCTURE
• Organized in clear sections with proper commenting
• Uses explicit type declarations (int, float, bool, color, string)
• Constants defined at top (BULLISH=1, BEARISH=-1, etc.)
• Functions documented with @function, @param, @returns
• Follows PineCoders naming conventions (camelCase variables)
PERFORMANCE OPTIMIZATION
• var keyword for table (created once, not every bar)
• Calculations cached where possible
• Dashboard updates only on last bar
• Minimal redundant security() calls
SECURITY IMPLEMENTATION
• Proper gaps and lookahead parameters
• No future data leakage
• Signals finalize on bar close
• Historical bars remain static
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VERSION INFORMATION
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Current Version: 2.0
Pine Script Version: 5
Last Updated: 2024
Developed by: Zakaria Safri
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SETTINGS REFERENCE
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EMA SETTINGS
• Fast EMA Length: 1-500 (default: 20)
• Slow EMA Length: 1-500 (default: 50)
VOLUME & MOMENTUM
• Use Volume Confirmation: true/false (default: true)
• Volume MA Length: 1-500 (default: 20)
• Show RSI Levels: true/false (default: true)
• RSI Length: 1-500 (default: 14)
PRICE ACTION FEATURES
• Show Price Distance: true/false (default: true)
• Show Key Levels: true/false (default: true)
• S/R Lookback Period: 10-500 (default: 50)
DISPLAY SETTINGS
• Show EMAs on Chart: true/false (default: true)
• Fast EMA Color: customizable (default: cyan)
• Slow EMA Color: customizable (default: orange)
• EMA Line Width: 1-5 (default: 2)
• Show Fill Between EMAs: true/false (default: true)
• Show Crossover Signals: true/false (default: true)
DASHBOARD SETTINGS
• Position: Top Left/Right, Bottom Left/Right
• Show Extended Statistics: true/false (default: true)
ALERT SETTINGS
• Alert on Multi-TF Alignment: true/false (default: true)
• Alert on Trend Strength Change: true/false (default: true)
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RISK DISCLAIMER
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This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security.
IMPORTANT NOTICES:
• Past performance does not indicate future results
• All trading involves risk of capital loss
• No indicator guarantees profitable trades
• Always conduct independent research and analysis
• Use proper risk management and position sizing
• Consult a qualified financial advisor before trading
• The developer assumes no liability for trading losses
By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
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SUPPORT & CONTRIBUTIONS
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FEEDBACK WELCOME
• Constructive comments appreciated
• Bug reports help improve the indicator
• Feature suggestions considered for future versions
• Share your experience to help other users
OPEN SOURCE
This code is published as open source for the TradingView community to:
• Learn from the implementation
• Modify for personal use
• Understand multi-timeframe analysis techniques
If you find this indicator useful, please consider:
• Leaving a thoughtful review
• Sharing with other traders who might benefit
• Following for future updates and releases
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ADDITIONAL RESOURCES
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RECOMMENDED READING
• TradingView Pine Script documentation
• PineCoders community resources
• Technical analysis textbooks on moving averages
• Multi-timeframe trading strategy guides
• Risk management principles
RELATED CONCEPTS
• Trend following strategies
• Moving average convergence/divergence
• Multiple timeframe analysis
• Volume-price relationships
• Momentum indicators
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Thank you for using this indicator. Trade responsibly and continue learning!
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BSP Order Flow Proxy This indicator is a refined Buy/Sell Pressure (BSP) model designed to approximate order flow dynamics directly from price and volume data.
It estimates the relative dominance of buyers vs. sellers by analyzing candle structure and volume distribution — offering a simple yet powerful proxy for delta-based order flow.
You can toggle between two calculation modes:
• Tick Rule: compares current close vs. previous close (for assets with continuous volume flow).
• Candle Rule: compares close vs. open (for simpler candle-based estimation).
The result is a smoothed delta histogram:
• 🟩 Green bars — buying pressure dominates (demand > supply)
• 🟥 Red bars — selling pressure dominates (supply > demand)
• ⚫ Zero line — neutral or balanced order flow
The built-in HMA and EMA smoothing filters remove short-term noise and emphasize genuine momentum shifts in buyer/seller activity.
This tool is particularly useful for traders who want to:
• Gauge hidden shifts in market control (bullish or bearish pressure)
• Anticipate potential reversals or volume-driven continuations
• Combine volume analytics with technical price action
