EMA Indicators with BUY sell SignalCombine 3 EMA indicators into 1. Buy and Sell signal is based on
- Buy signal based on 20 Days Highest High resistance
- Sell signal based on 10 Days Lowest Low support
Input :-
1 - Short EMA (20), Mid EMA (50) and Long EMA (200)
2 - Resistance (20) = 20 Days Highest High line
3 - Support (10) = 10 Days Lowest Low line
"a股板块+沪深两市+股价不超过10元的股票+技术形态好"に関するスクリプトを検索
Volume Range EventsChanges in the feelings (positive, negative, neutral) in the market concerning the valuation of an instrument are often preceded with sudden outbursts of buying and selling frenzies. The aim of this indicator is to report such outbursts. We can see them as expansions of volume, sometimes 10 times more than usual. and as extensions of the trading range, also sometimes 10 times more than usual (e.g. usual range is 10 cent suddenly a whole dollar.) The changes are calculated in such a way that these fit between plus and minus 100 percent, the bars are scaled in some sort of logarithmic way. The Emoline is the same as the one in the True Balance of Power indicator, which I already published
ONLY RISES ARE EVENTS
Sometimes analysts are tempted to give meaning to low volume or small ranges. These simply mean that the market has little interest in trading this instrument. I believe that in such cases the trader needs to wait for expansion and extension events to happen, then he can make a better guess of where the market is heading. As events often mark the beginning or ending of a trend, this indicator provides an early and clear signal, because it doesn’t bother us about non-events.
WHAT IS USUAL?
If the algorithm would use an average as a normal to scale volume or range events, then previous peaks will act as spoilers by making the average so high that a following peak is scaled too small. I developed a function, usual() , that kicks out all extremes of a ‘population of values’ and which returns the average of the non-extreme values. It can be called with any serial. This function is called by both algorithms that report volume and range peaks, which guarantees that the results are really comparable. As this function has a fixed look back of 8 periods, we might state that ‘usual’ is a short lived relative value. I think this doesn’t matter for the practical use of the indicator.
COLORING AND INTERPRETATION
I follow the categories in the ‘Better Volume Indicator’, published by LeazyBear, these are:
1. Climactic Volumes, event >40 % (this means peak is 1.5 X usual)
LIME: Climax Buying Volume, direction up, range event also > 30 %
RED: Climax Selling Volume, direction down, range event also > 30 %
AQUA: Climax Churning Volume, both directions, range event < 30%
2. Smaller Volumes, event <40 %
GREEN: Supportive Volume, both directions, if combined with range event
BLUE: Churning Volume, both directions, if not combined with range event (Professional Trading)
3. Just Range Events
BLACK histogram bars (Amateurish Trading)
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION
Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated.
There are 3 main components that make up Forex Master v4.0:
I. Trend Filter
The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade.
II. Bollinger Bands
When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered.
III. Money Management
Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule
Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts).
Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit).
Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
My5min1. Follow the instructions for entry and exit exactly as above. Don’t second guess, or assume/presume anything.
2. Avoid entering the trade when the price is temporarily above /below 10 day MA, but the price candle hasn’t fully formed yet. Enter the trade only after the price candle closes above/below the 10 day MA.
3. Exit the trade immediately when the price candle closes above/below 10 day MA in the direction opposite to the trade. Don’t remain in the trade wishing it to turn in your favor.
4. Never ever trade in the opposite direction of the market. i.e. don’t buy when the price is below 200 day MA and sell when the price is above 200 day MA.
5. Take profits when limit is reached. Don’t be greedy and keep on increasing the target. Remember- A bird in hand is worth two in the bush.
MACD, backtest 2015+ only, cut in half and doubledThis is only a slight modification to the existing "MACD Strategy" strategy plugin!
found the default MACD strategy to be lacking, although impressive for its simplicity. I added "year>2014" to the IF buy/sell conditions so it will only backtest from 2015 and beyond ** .
I also had a problem with the standard MACD trading late, per se. To that end I modified the inputs for fast/slow/signal to double. Example: my defaults are 10, 21, 10 so I put 20, 42, 20 in. This has the effect of making a 30min interval the same as 1 hour at 10,21,10. So if you want to backtest at 4hr, you would set your time interval to 2hr on the main chart. This is a handy way to make shorter time periods more useful even regardless of strategy/testing, since you can view 15min with alot less noise but a better response.
Used on BTCCNY OKcoin, with the chart set at 45 min (so really 90min in the strategy) this gave me a percent profitable of 42% and a profit factor of 1.998 on 189 trades.
Personally, I like to set the length/signals to 30,63,30. Meaning you need to triple the time, it allows for much better use of shorter time periods and the backtests are remarkably profitable. (i.e. 15min chart view = 45min on script, 30min= 1.5hr on script)
** If you want more specific time periods you need to try plugging in different bar values: replace "year" with "n" and "2014" with "5500". The bars are based on unix time I believe so you will need to play around with the number for n, with n being the numbers of bars.
MPO4 Lines – Modal Engine█ OVERVIEW
MPO4 Lines – Modal Engine is an advanced multi-line modal oscillator for TradingView, designed to detect momentum shifts, trend strength, and reversal points through candle-based pressure analysis with multiple fast lines and a reference slow line. It features divergence detection on Fast Line A, overbought/oversold return signals, dynamic coloring modes, and layered gradient visualizations for enhanced clarity and decision-making.
█ CONCEPT
The indicator is built upon the Market Pressure Oscillator (MPO) and serves as its expanded evolution, aimed at enabling broader market analysis through multiple lines with varying parameters. It calculates modal pressure using candle body size and direction, weighted against average body size over a lookback period, then normalized and smoothed via EMA. It generates four distinct oscillator lines: a heavily smoothed Slow Line (trend reference), two Fast Lines (A & B) for momentum and support/resistance, and an optional Line 4 for additional confirmation. Divergence is calculated solely on Fast Line A, with visual gradients between lines and bands for intuitive interpretation.
█ WHY USE IT?
- Multi-Layer Momentum: Combines slow trend reference with dual fast lines for precise entry/exit timing.
- Divergence Precision: Bullish/bearish divergences on Fast Line A with labeled confirmation.
- OB/OS Return Signals: Clear buy/sell markers when Fast Line A exits oversold/overbought zones.
- Dynamic Visuals: Gradient fills, line-to-line shading, and band gradients for instant market state recognition.
- Flexible Coloring: Slow Line color by direction or zero-position; fast lines by sign.
- Full Customization: Independent lengths, smoothing, visibility, and transparency — by adjusting the lengths of different lines, you can tailor results for various strategies; for example, enabling Line 4 and tuning its length allows trading based on crossovers between different lines.
█ HOW IT WORKS?
- Candle Pressure Calculation: Body = math.abs(close - open); avgBody = ta.sma(body, len). Direction = +1 (bull), –1 (bear), 0 (neutral). Weight = body / avgBody. Contribution = direction × weight.
- Rolling Sum & Normalization: Sums contributions over lookback, normalizes to ±100 scale (÷ (len × 2) × 100).
Smoothing: Applies primary EMA (smoothLen), with extra EMA on Slow Line for stability.
Line Structure:
- Slow Line = calcCPO(len1=20, smoothLen1=5) → extra EMA (5)
- Fast Line A = calcCPO(len2=6, smoothLen2=7)
- Fast Line B = calcCPO(len3=6, smoothLen3=10)
- Line 4 = calcCPO(len4=14, smoothLen4=1)
Divergence Detection: Uses ta.pivothigh/low on price and Fast Line A (pivotLength left/right). Bullish: lower price low + higher osc low. Bearish: higher price high + lower osc high. Valid within 5–60 bar window.
Signals:
- Buy: Fast Line A crosses above oversold (–30)
- Sell: Fast Line A crosses below overbought (+30)
- Slow Line color flip (direction or zero-cross)
- Divergence labels ("Bull" / "Bear")
- Band Coloring as Momentum Signal:
When Fast Line A ≤ Fast Line B → Overbought band turns red (bearish pressure building)
When Fast Line A > Fast Line B → Oversold band turns green (bullish pressure building) This dynamic coloring serves as visual confirmation of momentum shift following fast line crossovers
Visualization:
- Gradients: Fast B → Zero (multi-layer fade), Fast A ↔ B fill, OB/OS bands
- Dynamic colors: Green/red based on sign or trend
- Zero line + dashed OB/OS thresholds
Alerts: Trigger on OB/OS returns, Slow Line changes, and divergences.
█ SETTINGS AND CUSTOMIZATION
- Line Visibility: Toggle Slow, Fast A, Fast B, Line 4 independently.
Line Lengths:
- Slow Line: Base (20), Primary EMA (5), Extra EMA (5)
- Fast A: Lookback (6), EMA (7)
- Fast B: Lookback (6), EMA (10)
- Line 4: Lookback (14), EMA (1)
- Slow Line Coloring Mode: “Direction” (trend-based) or “Position vs Zero”.
- Bands & Thresholds: Overbought (+30), Oversold (–30), step 0.1.
- Signals: Enable Fast A OB/OS return markers (default: on).
- Divergence: Enable/disable, Pivot Length (default: 2, min 1).
- Colors & Appearance: Full control over bullish/bearish hues for all lines, zero, bands, divergence, and text.
Gradients & Transparency:
- Fast B → Zero: 75 (default)
- Fast A ↔ B fill: 50
- Band gradients: 40
- Toggle each gradient independently
█ USAGE EXAMPLES
The indicator allows users to configure various strategies manually, though no built-in alerts exist for them. Entry signals can include color of fast lines, crossovers between different lines, alignment of colors across lines, or consistency in direction.
- Trend Confirmation: Slow Line above zero + green = bullish bias; below + red = bearish.
- Entry Timing: Buy on Fast A crossing above –30 (circle marker), especially if Slow Line is rising or near zero.
- Reversal Setup: Bullish divergence (“Bull” label) + Fast A in oversold + green gradient band = high-probability long.
- Scalping: Fast A vs Fast B crossover in direction of Slow Line trend.
- Noise Reduction: Increase extraSmoothLen on Slow Line
█ USER NOTES
- Best combined with volume, support/resistance, or trend channels.
- Adjust lookback and smoothing to asset volatility.
- Divergence delay = pivotLength; plan entries accordingly.
Candlestick Combo Strategy - [CLEVER]📊 Strategy Name:
Candlestick Combo Strategy –
🧠 Purpose
This strategy is built to identify high-probability reversal or continuation setups based on a combination of classic Japanese candlestick patterns filtered through a trend indicator (50-period SMA) and volatility measure (ATR).
It automatically executes long or short trades when multiple conditions align — giving traders a rules-based, mechanical approach to using price action patterns.
⚙️ Core Components Explained
1. Trend & Volatility Filters
50-period SMA (Simple Moving Average):
Defines market direction.
If price > SMA → Uptrend (only long signals considered).
If price < SMA → Downtrend (only short signals considered).
ATR (Average True Range):
Used to measure volatility and define the size of candlestick patterns.
Helps distinguish strong candles from normal noise.
Also used to calculate stop-loss and target levels dynamically.
2. Candlestick Patterns Detected
The script detects 8 classical patterns, some bullish (for long entries) and some bearish (for short entries).
Each pattern has specific rules based on candle bodies, wicks, and relative positioning.
🟩 Bullish (Long) Patterns
Pattern Description
Mat Hold Strong bullish continuation: a long green candle, small consolidation, then another bullish breakout.
Tower Bottom Reversal setup: large bearish candle, several small neutral candles (base), followed by a large bullish candle.
Rising Window Gap-up pattern signaling bullish strength and momentum continuation.
Bullish Marubozu Full-body bullish candle with little to no wicks — represents aggressive buying pressure.
🟥 Bearish (Short) Patterns
Pattern Description
Matching High Two strong bullish candles with nearly identical highs — signals exhaustion and potential reversal.
Falling Window Gap-down continuation pattern — confirms bearish momentum.
Bearish Marubozu Full-body bearish candle with minimal wicks — represents strong selling pressure.
Long-Legged Doji High indecision after an uptrend — potential reversal warning when confirmed by trend filter.
3. Trade Signal Logic
Long Signal:
Generated when the market is in an uptrend and one of the bullish patterns forms.
Short Signal:
Generated when the market is in a downtrend and one of the bearish patterns appears.
This ensures that signals align with the overall market structure and aren’t triggered in the opposite direction of momentum.
4. Risk Management & Trade Execution
Each trade is managed with automatic stop-loss (SL) and take-profit (TP) levels based on recent price swings and risk-to-reward ratio.
Stop-Loss (SL):
For long trades → lowest low of the last 10 bars.
For short trades → highest high of the last 10 bars.
Target (TP):
Based on user-defined risk:reward ratio (RR), default is 2:1.
ATR Multiplier:
Ensures only strong patterns (larger than average candle size) trigger trades.
Trade Limiter:
The strategy includes maxOpenTrades, which restricts how many trades can be open at once (default = 1), preventing overexposure.
5. Visual Signals
Green Triangles (▲) → Long entry signals appear below candles.
Red Triangles (▼) → Short entry signals appear above candles.
These markers visually represent where the strategy detects valid setups.
💡 Trading Logic Summary
Condition Requirement
Trend Based on 50-SMA (uptrend = long, downtrend = short)
Pattern Strength Verified using ATR for realistic volatility filtering
Entry Triggered only when both trend and pattern align
Exit Stop and target auto-calculated (Risk:Reward = configurable)
Trade Control Limits number of concurrent open positions
🧩 Best Use Cases
Timeframes: Works best on 1H, 4H, or daily charts.
Markets: Suitable for Forex, indices, and commodities.
Trading Style: Ideal for swing traders and technical analysts who prefer price action confirmation.
✅ Summary Table
Feature Description
Strategy Type Price Action + Candlestick Pattern Recognition
Trend Filter 50-SMA
Volatility Filter ATR-based
Patterns Used 8 classic bullish/bearish candlestick formations
Trade Management Auto SL/TP via recent swing levels
Customization Adjustable ATR, SMA, Risk:Reward, and max trades
Objective Identify high-probability reversal or continuation setups with disciplined risk control TVC:DXY OANDA:XAUUSD OANDA:AUDJPY CITYINDEX:GBPMXN CRYPTO:BTCUSD TVC:USOIL OANDA:USDCHF WHSELFINVEST:NOKJPY IBKR:SEKJPY
Turtles StrategyBorn from the 1980s "Turtle" experiment, this method of trading captures breakouts and places or closes trades with intrabar entries or exits and realized-equity risk controls.
How It Works
The strategy buys/sells on breakouts from recent highs/lows, using ATR for volatility-adjusted stops and sizing. It risks a fixed % (default 1%) of realized equity per trade—initial capital plus closed P&L, ignoring open positions for conservatism. Drawdown protection auto-reduces risk by 20% at 10% drops (up to three times), resetting only on full peak recovery. Single positions only, with 1-tick slippage simulated for realistic fills. Best for trending assets like forex,commodities, crypto, stocks. Backtest for optimal parameters.
Main Operations
The strategy works on any timeframe but it's meant to be used on daily charts.
Entry Signals:
Long: Buy-stop 1 tick above 20-bar high (default "Entry Period") when no position—enters intrabar on breakout.
Short: Sell-stop 1 tick below 20-bar low. OCA cancels opposites.
Size: (Realized equity × adjusted risk %) ÷ (2× ATR stop distance), scaled by point value.
Exit Signals:
Longs: Stop at tighter of (entry - 2× ATR) or (10-bar low - 1 tick trailing, default "Exit Period").
Shorts: Stop at tighter of (entry + 2× ATR) or (10-bar high + 1 tick trailing).
Locks profits in trends, exits fast on fades.
Risk Controls:
Tracks realized equity peak.
10% drawdown: Risk ×0.8; 20%/30%: Further ×0.8 (max 3x).
Full reset above peak—preserves capital in slumps.
Oversold Screener · v4# Step-2 Oversold Screener · v3.3
US equities · 15-minute event engine · AVWAP entries A–F · optional CVD/RSI/Z guards
## What this script does
Finds short, emotion-driven selloffs in large, healthy US stocks and turns them into actionable, right-side opportunities.
On a qualified 15-minute close it:
1. emits a minimal webhook so your backend/AI can vet the news and fundamentals, and
2. anchors an Event-AVWAP and plots ±1/±2/±3σ bands to guide entries A–F as price mean-reverts.
The logic runs in a fixed 15-minute space, independent of the chart timeframe you view.
## How an event is detected (Step-2 signal)
All conditions are evaluated on 15-minute data, including extended hours.
Depth, measured vs yesterday’s RTH reference
* Reference = min(yesterday’s RTH VWAP proxy, yesterday’s Close).
* 4h depth: current price vs reference across 16×15m bars ≤ threshold (default −4%).
* 8h depth: lowest close across the last 32×15m bars vs reference ≤ threshold (default −6%).
Relative underperformance
* Versus market ETF (SPY/QQQ) and sector ETF (XLK/XLF/XLY… or KWEB/CQQQ).
* Uses the same 16/32×15m windows; stock must be weaker by at least the set margins (default −3%).
Macro circuit breakers (any one trips = suppress signal)
* VIX level ≥ fuse (default 28).
* Market 4h/8h drawdown ≤ limits (default −2.0% / −3.5%).
* Sector 4h/8h drawdown ≤ limits (default −2.5% / −4.0%).
Momentum and distribution guards
* RSI(1h) < 30 by default (computed from 15m series).
* Optional Z-score filters: stock Z ≤ zTrig, and macro Z floors for market/sector.
* Cooldown per symbol so you don’t get spammed by repeated events.
When the event closes, the script posts a tiny JSON to your alert webhook and pins an on-chart “S2” marker at the event bar.
## Event-AVWAP and bands
From the event bar forward the script computes AVWAP natively in 15m space and draws bands at ±1σ/±2σ/±3σ.
σ is a rolling standard deviation of typical price with optional EMA smoothing and an optional cap.
Why this helps
* AVWAP from the shock timestamp approximates the crowd’s average position after the selloff.
* Reclaiming key bands often marks the start of orderly mean reversion rather than a dead-cat bounce.
## Entry proposals A–F (right-side confirmations)
Each entry requires first touching a lower band, then reclaiming a higher band.
A touch ≤ −2σ, then cross up through −1σ
B touch ≤ −1σ, then reclaim AVWAP
C break above −1σ, retest near −1σ within N bars, then bounce
D after compression (low ATR%), reclaim AVWAP
E touch ≤ −3σ, then cross up through −2σ
F touch ≤ −3σ, then cross up through −1σ (fast, aggressive)
Labeling hygiene
* Only the first three occurrences of each type A–F are shown within a one-week window after the event.
* A debounce interval avoids over-labeling across adjacent bars.
## Optional CVD gate (order-flow confirmation)
When enabled, entries must also pass a 15-minute CVD gate that looks for sell pressure exhaustion and a turn-up in cumulative delta.
Defaults are conservative; start with CVD off until you’re comfortable, then enable to filter chop after capitulations.
## Alert payload (minimal by design)
On the event bar close the script fires one alert with a tiny JSON that is easy to route and process in bulk:
```json
{
"event": "Crash_signal_15m",
"symbol": "NVDA",
"symbol_id": "NASDAQ:NVDA",
"ts_alert_15m_ms": 1730898900000,
"ts_alert_15m_local": "2025-11-06 10:45"
}
```
Notes
* ts_alert_15m_ms is the 15-minute close time in milliseconds since epoch (UTC reference).
* ts_alert_15m_local uses your chart’s timezone for readability.
Optional: a 24-hour streaming mode can resend this minimal payload on every 15-minute close during the day after the event (tiny patch available on request).
## Inputs you will actually touch
Bench/Sector symbols
* Bench: SPY or QQQ. Sector: XLK/XLF/XLY… or KWEB/CQQQ depending on the name.
Depth and relative thresholds
* 4h depth ≤ −4%, 8h depth ≤ −6%.
* Relative to market/sector ≤ −3% each.
Macro fuses
* VIX ≥ 28; market ≤ −2.0%/−3.5%; sector ≤ −2.5%/−4.0%.
Z/RSI guards
* Z window 80 bars (15m), stock zTrig ≤ −1.5, macro floors ≥ −1.0.
* RSI(1h) < 30.
AVWAP band engine
* σ EMA length 3; σ cap off by default.
* Retest window for entry C: 24 bars (≈6 hours).
Presentation and hygiene
* One-week entry window; per-type cap 3; debounce 8×15m bars.
* Signal table on/off, label pinning on/off.
## How to run it
1. Open a 15-minute chart (extended hours enabled recommended).
2. Add the indicator and choose Bench/Sector for the names you are reviewing.
3. Create a single alert per chart with Condition = Any alert() function call and Options = Once per bar close.
4. Point the alert to your webhook URL (or use app/email if you don’t have a URL).
5. Let your backend/AI receive the minimal JSON, do the news/fundamentals check, and decide Allow / Hold / Reject.
6. For Allowed names, use the on-chart A–F markers to stage in; manage risk against Event-AVWAP and upper HVNs/POC.
## Defaults that work well
* RSI(1h) < 30
* Depth 4h/8h ≤ −4%/−6% vs yesterday’s reference
* Relative to market/sector ≤ −3%
* Z: stock ≤ −1.5; macro floors ≥ −1.0
* Fuses: VIX ≥ 28; market ≤ −2.0%/−3.5%; sector ≤ −2.5%/−4.0%
* Bands: σ EMA = 3; no σ cap; one-week window; 3 labels per type
## Notes and limitations
* This is an indicator, not an auto-trader. Position sizing and exits are up to you.
* Designed for liquid US equities; thin ADRs and micro-caps are noisy.
* All event logic and entries are evaluated on bar close; AVWAP and bands do not repaint.
* If you need to monitor many symbols without a server, a Scanner variant can batch 10–17 tickers per script and alert without a webhook.
Smart Flow Tracker [The_lurker]
Smart Flow Tracker (SFT): Advanced Order Flow Tracking Indicator
Overview
Smart Flow Tracker (SFT) is an advanced indicator designed for real-time tracking and analysis of order flows. It focuses on detecting institutional patterns, massive orders, and potential reversals through analysis of lower timeframes (Lower Timeframe) or live ticks. It provides deep insights into market behavior using a multi-layered intelligent detection system and a clear visual interface, giving traders a competitive edge.
SFT focuses on trade volumes, directions, and frequencies to uncover unusual activity that may indicate institutional intervention, massive orders, or manipulation attempts (traps).
Indicator Operation Levels
SFT operates on three main levels:
1. Microscopic Monitoring: Tracks every trade at precise timeframes (down to one second), providing visibility not available in standard timeframes.
2. Advanced Statistical Analysis: Calculates averages, deviations, patterns, and anomalies using precise mathematical algorithms.
3. Behavioral Artificial Intelligence: Recognizes behavioral patterns such as hidden institutional accumulation, manipulation attempts and traps, and potential reversal points.
Key Features
SFT features a set of advanced functions to enhance the trader's experience:
1. Intelligent Order Classification System: Classifies orders into six categories based on size and pattern:
- Standard: Normal orders with typical size.
- Significant 💎: Orders larger than average by 1.5 times.
- Major 🔥: Orders larger than average by 2.5 times.
- Massive 🐋: Orders larger than average by 3 times.
- Institutional 🏛️: Consistent patterns indicating institutional activity.
- Reversal 🔄: Large orders indicating direction change.
- Trap ⚠️: Patterns that may be price traps.
2. Institutional Patterns Detection: Tracks sequences of similar-sized orders, detects organized institutional activity, and is customizable (number of trades, variance ratio).
3. Reversals Detection: Compares recent flows with previous ones, detects direction shifts from up to down or vice versa, and operates only on large orders (Major/Massive/Institutional).
4. Traps Detection: Identifies sequences of large orders in one direction, followed by an institutional order in the opposite direction, with early alerts for false moves.
5. Flow Delta Bar: Displays the difference between buy and sell volumes as a percentage for balance, with instant updates per trade.
6. Dynamic Statistics Panel: Displays overall buy and sell ratios with real-time updates and interactive colors.
How It Works and Understanding
SFT relies on logical sequential stages for data processing:
A. Data Collection: Uses the `request.security_lower_tf()` function to extract data from a lower timeframe (like 1S) even on a higher timeframe (like 5D). For each time unit, it calculates:
- Adjusted Volume: Either normal volume or "price-weighted volume" (hlc3 * volume) based on user choice.
- Trade Direction: Compared to previous close (rise → buy, fall → sell).
B. Building Temporary Memory: Maintains a dynamic list (sizeHistory) of the last 100 trade sizes, continuously calculating the moving average (meanSize).
C. Intelligent Classification: Compares each new trade to the average:
- > 1.5 × average → Significant.
- > 2.5 × average → Major.
- > 3.0 × average → Massive.
- Institutional Patterns Check: A certain number of trades (e.g., 5) with a specified variance ratio (±5%) → Institutional.
D. Advanced Detection:
- Reversal: Compares buy/sell totals in two consecutive periods.
- Trap: Sequence of large trades in one direction followed by an opposite institutional trade.
E. Display and Alerts: Results displayed in an automatically updated table, with option to enable alerts for notable events.
Settings (Fully Customizable)
SFT offers extensive options to adapt to the trader's needs:
A. Display Settings:
- Language: English / Arabic.
- Table Position: 9 options (e.g., Top Right, Middle Right, Bottom Left).
- Display Size: Tiny / Small / Normal / Large.
- Max Rows: 10–100.
- Enable Flow Delta Bar: Yes / No.
- Enable Statistics Panel: Yes / No (displays buy/sell % ratio).
B.- Technical Settings:
- Data Source: Lower Timeframe / Live Tick (simulation).
- Timeframe: Optional (e.g., 1S, 5S, 1).
- Calculation Type: Volume / Price Volume.
C. Intelligent Detection System:
- Enable Institutional Patterns Detection.
- Pattern Length: 3–20 trades.
- Allowed Variance Ratio: 1%–20%.
- Massive Orders Detection Factor: 2.0–10.0.
D. Classification Criteria:
- Significant Orders Factor: 1.2–3.0.
- Major Orders Factor: 2.0–5.0.
E. **Advanced Detection**:
- Enable Reversals Detection (with review period).
- Enable Traps Detection (with minimum sequence limit).
F. Alerts System:
- Enable for each type: Massive orders, institutional patterns, reversals, traps, severe imbalance (60%–90%).
G. Color System: Manual customization for each category:
- Standard Buy 🟢: Dark gray green.
- Standard Sell 🔴: Dark gray red.
- Significant Buy 🟢: Medium green.
- Significant Sell 🔴: Medium red.
- Major Orders 🟣: Purple.
- Massive Orders 🟠: Orange.
- Institutional 🟦: Sky blue.
- Reversal 🔵: Blue.
- Trap 🟣: Pink-purple.
Target Audiences
SFT benefits a wide range of traders and investors:
1. Scalpers: Instant detection of large orders, liquidity points identification, avoiding traps in critical moments.
2. Day Traders: Tracking smart money footprint, determining real session direction, early reversals detection.
3. Swing Traders: Confirming trend strength, detecting institutional accumulation/distribution, identifying optimal entry points.
4. Investors: Understanding true market sentiments, avoiding entry at false peaks, identifying real value zones.
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
Smart Flow Tracker (SFT): مؤشر متقدم لتتبع تدفقات الأوامر
نظرة عامة
Smart Flow Tracker (SFT) مؤشر متقدم مصمم لتتبع وتحليل تدفقات الأوامر في الوقت الفعلي. يركز على كشف الأنماط المؤسسية، الأوامر الضخمة، والانعكاسات المحتملة من خلال تحليل الأطر الزمنية الأقل (Lower Timeframe) أو التيك الحي. يوفر رؤية عميقة لسلوك السوق باستخدام نظام كشف ذكي متعدد الطبقات وواجهة مرئية واضحة، مما يمنح المتداولين ميزة تنافسية.
يركز SFT على حجم الصفقات، اتجاهها، وتكرارها لكشف النشاط غير العادي الذي قد يشير إلى تدخل مؤسسات، أوامر ضخمة، أو محاولات تلاعب (فخاخ).
مستويات عمل المؤشر
يعمل SFT على ثلاثة مستويات رئيسية:
1. المراقبة المجهرية: يتتبع كل صفقة على مستوى الأطر الزمنية الدقيقة (حتى الثانية الواحدة)، مما يوفر رؤية غير متوفرة في الأطر الزمنية العادية.
2. التحليل الإحصائي المتقدم: يحسب المتوسطات، الانحرافات، الأنماط، والشذوذات باستخدام خوارزميات رياضية دقيقة.
3. الذكاء الاصطناعي السلوكي: يتعرف على أنماط سلوكية مثل التراكم المؤسسي المخفي، محاولات التلاعب والفخاخ، ونقاط الانعكاس المحتملة.
الميزات الرئيسية
يتميز SFT بمجموعة من الوظائف المتقدمة لتحسين تجربة المتداول:
1. نظام تصنيف الأوامر الذكي: يصنف الأوامر إلى ست فئات بناءً على الحجم والنمط:
- Standard (قياسي)**: أوامر عادية بحجم طبيعي.
- Significant 💎 (مهم)**: أوامر أكبر من المتوسط بـ1.5 ضعف.
- Major 🔥 (كبير)**: أوامر أكبر من المتوسط بـ2.5 ضعف.
- Massive 🐋 (ضخم)**: أوامر أكبر من المتوسط بـ3 أضعاف.
- Institutional 🏛️ (مؤسسي)**: أنماط متسقة تشير إلى نشاط مؤسسي.
- Reversal 🔄 (انعكاس)**: أوامر كبيرة تشير إلى تغيير اتجاه.
- Trap ⚠️ (فخ)**: أنماط قد تكون فخاخًا سعرية.
2. كشف الأنماط المؤسسية: يتتبع تسلسل الأوامر المتشابهة في الحجم، يكشف النشاط المؤسسي المنظم، وقابل للتخصيص (عدد الصفقات، نسبة التباين).
3. كشف الانعكاسات: يقارن التدفقات الأخيرة بالسابقة، يكشف تحول الاتجاه من صعود إلى هبوط أو العكس، ويعمل فقط على الأوامر الكبيرة (Major/Massive/Institutional).
4. كشف الفخاخ: يحدد تسلسل أوامر كبيرة في اتجاه واحد، يليها أمر مؤسسي في الاتجاه المعاكس، مع تنبيه مبكر للحركات الكاذبة.
5. شريط دلتا التدفق: يعرض الفرق بين حجم الشراء والبيع كنسبة مئوية للتوازن، مع تحديث فوري لكل صفقة.
6. لوحة إحصائيات ديناميكية: تعرض نسبة الشراء والبيع الإجمالية مع تحديث لحظي وألوان تفاعلية.
طريقة العمل والفهم
يعتمد SFT على مراحل منطقية متسلسلة لمعالجة البيانات:
أ. جمع البيانات: يستخدم دالة `request.security_lower_tf()` لاستخراج بيانات من إطار زمني أدنى (مثل 1S) حتى على إطار زمني أعلى (مثل 5D). لكل وحدة زمنية، يحسب:
- الحجم المعدّل: إما الحجم العادي (volume) أو "الحجم المرجّح بالسعر" (hlc3 * volume) حسب الاختيار.
- اتجاه الصفقة: مقارنة الإغلاق الحالي بالسابق (ارتفاع → شراء، انخفاض → بيع).
ب. بناء الذاكرة المؤقتة: يحتفظ بقائمة ديناميكية (sizeHistory) لآخر 100 حجم صفقة، ويحسب المتوسط المتحرك (meanSize) باستمرار.
ج. التصنيف الذكي: يقارن كل صفقة جديدة بالمتوسط:
- > 1.5 × المتوسط → Significant.
- > 2.5 × المتوسط → Major.
- > 3.0 × المتوسط → Massive.
- فحص الأنماط المؤسسية: عدد معين من الصفقات (مثل 5) بنسبة تباين محددة (±5%) → Institutional.
د. الكشف المتقدم:
- الانعكاس: مقارنة مجموع الشراء/البيع في فترتين متتاليتين.
- الفخ: تسلسل صفقات كبيرة في اتجاه واحد يتبعها صفقة مؤسسية معاكسة.
هـ. العرض والتنبيه: عرض النتائج في جدول محدّث تلقائيًا، مع إمكانية تفعيل تنبيهات للأحداث المميزة.
لإعدادات (قابلة للتخصيص بالكامل)
يوفر SFT خيارات واسعة للتكييف مع احتياجات المتداول:
أ. إعدادات العرض:
- اللغة: English / العربية.
- موقع الجدول: 9 خيارات (مثل Top Right, Middle Right, Bottom Left).
- حجم العرض: Tiny / Small / Normal / Large.
- الحد الأقصى للصفوف: 10–100.
- تفعيل شريط دلتا التدفق: نعم / لا.
- تفعيل لوحة الإحصائيات: نعم / لا (تعرض نسبة الشراء/البيع %).
ب. الإعدادات التقنية:
- مصدر البيانات: Lower Timeframe / Live Tick (محاكاة).
- الإطار الزمني: اختياري (مثل 1S, 5S, 1).
- نوع الحساب: Volume / Price Volume.
ج. نظام الكشف الذكي:
- تفعيل كشف الأنماط المؤسسية.
- طول النمط: 3–20 صفقة.
- نسبة التباين: 1%–20%.
- عامل كشف الأوامر الضخمة: 2.0–10.0.
د. معايير التصنيف:
- عامل الأوامر المهمة: 1.2–3.0.
- عامل الأوامر الكبرى: 2.0–5.0.
هـ. الكشف المتقدم:
- تفعيل كشف الانعكاسات (مع فترة مراجعة).
- تفعيل كشف الفخاخ (مع حد أدنى للتسلسل).
و. نظام التنبيهات:
- تفعيل لكل نوع: أوامر ضخمة، أنماط مؤسسية، انعكاسات، فخاخ، عدم توازن شديد (60%–90%).
ز. نظام الألوان**: تخصيص يدوي لكل فئة:
- شراء قياسي 🟢: أخضر رمادي داكن.
- بيع قياسي 🔴: أحمر رمادي داكن.
- شراء مهم 🟢: أخضر متوسط.
- بيع مهم 🔴: أحمر متوسط.
- أوامر كبرى 🟣: بنفسجي.
- أوامر ضخمة 🟠: برتقالي.
- مؤسسي 🟦: أزرق سماوي.
- انعكاس 🔵: أزرق.
- فخ 🟣: وردي-أرجواني.
الفئات المستهدفة
يستفيد من SFT مجموعة واسعة من المتداولين والمستثمرين:
1. السكالبرز (Scalpers): كشف لحظي للأوامر الكبيرة، تحديد نقاط السيولة، تجنب الفخاخ في اللحظات الحرجة.
2. المتداولون اليوميون (Day Traders): تتبع بصمة الأموال الذكية، تحديد اتجاه الجلسة الحقيقي، كشف الانعكاسات المبكرة.
3. المتداولون المتأرجحون (Swing Traders): تأكيد قوة الاتجاه، كشف التراكم/التوزيع المؤسسي، تحديد نقاط الدخول المثلى.
4. المستثمرون: فهم معنويات السوق الحقيقية، تجنب الدخول في قمم كاذبة، تحديد مناطق القيمة الحقيقية.
⚠️ إخلاء مسؤولية:
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Ultimate Scalping IndicatorOverview
The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market.
It combines three core technical elements:
Trend
Mean reversion
Momentum
into a single, efficient system.
By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals.
Core Components
200-Period Moving Average (MA200, 5-Minute Timeframe)
The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum.
Session VWAP (Volume-Weighted Average Price)
The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance.
RSI (Relative Strength Index)
The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions.
A “recency filter” is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets.
Signal Logic
Bullish Signal (Green Arrow)
A bullish reversal signal is plotted below a candle when:
Price is above both the 5-minute MA200 and the Session VWAP.
RSI is oversold (below 30).
The last time RSI was above 50 occurred within the last 10 candles before going oversold.
This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition.
Bearish Signal (Red Arrow)
A bearish reversal signal is plotted above a candle when:
Price is below both the 5-minute MA200 and the Session VWAP.
RSI is overbought (above 70).
The last time RSI was below 50 occurred within the last 10 candles before going overbought.
This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend.
Recommended Usage
This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on.
It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context.
Avoid counter-trend signals unless confirmed by price structure or volume behavior.
LevelsLevels is a powerful technical analysis tool that automatically identifies and displays key support and resistance levels on the chart. The indicator analyzes historical price data, detecting significant price levels where multiple reversals or price stops have occurred.
How the Indicator Works?
1. Identification of Reversal Points:
- The indicator tracks price extremes using an algorithm to identify local highs and lows
- A reversal point is recorded when:
- Uptrend: price reaches a new low for the last 10 bars
- Downtrend: price reaches a new high for the last 10 bars
2. Level Grouping:
- All found reversal points are analyzed and grouped into key levels
- Levels are combined if they fall within the specified percentage tolerance
3. Filtering Significant Levels:
- Only levels that have been tested the minimum number of times (set in settings) are preserved
- This ensures only statistically significant levels are displayed
How to Use the Indicator?
Trading Scenarios:
1. Bounce from Level:
- When price approaches an identified level, a bounce can be expected
- Opening positions on the bounce with protective stop-loss beyond the level
2. Level Breakout:
- Breaking through a key level may signal trend continuation
- Support level becomes resistance and vice versa
3. Consolidation near Level:
- Prolonged price presence near a level indicates its significance
- Strong movement can be expected after exiting consolidation
Advantages:
- Automatic level identification eliminates subjectivity
- Sensitivity customization for different timeframes and instruments
- Visual simplicity - only significant levels
Indicator Settings
Main Parameters:
- Show Key Levels - enable/disable level display
- Level Tolerance (%) - percentage tolerance for level grouping
- Smaller values: more levels, more precise
- Larger values: fewer levels, more significant
- Minimum Touches - minimum number of touches to form a level
Visual Settings:
- Level Color - level display color
- Level Style - line style (solid, dashed, dotted)
Limitations
- Levels are built only on available historical data
- Does not account for trading volumes
- Parameter adjustment may be required during high volatility periods
The indicator is particularly effective when combined with other analysis tools for signal confirmation.
Crypto Breadth Engine [alex975]
A normalized crypto market breadth indicator with a customizable 40 coin input panel — revealing whether rallies are broad and healthy across major coins and altcoins or led by only a few.
📊 Overview
The Crypto Breadth Engine measures the real participation strength of the crypto market by analyzing the direction of the 40 largest cryptocurrencies by market capitalization.
⚙️ How It Works
Unlike standard breadth tools that only count assets above a moving average, this indicator measures actual price direction:
+1 if a coin closes higher, –1 if lower, 0 if unchanged.
The total forms a Breadth Line, statistically normalized using standard deviation to maintain consistent readings across timeframes and volatility conditions.
🧩 Dynamic Input Mask
All 40 cryptocurrencies are fully editable via the input panel, allowing users to easily replace or customize the basket (Top 40, Layer-1s, DeFi, Meme Coins, AI Tokens, etc.) without touching the code.
This flexibility keeps the indicator aligned with the evolving crypto market.
🧭 Trend Bias
The indicator classifies market structure as Bullish, Neutral, or Bearish, based on how the Breadth Line aligns with its moving averages (10, 20, 50).
💡 Dashboard
A compact on-chart table displays in real time:
• Positive and negative coins
• Participation percentage
• Current trend bias
🔍 Interpretation
• Rising breadth → broad, healthy market expansion
• Falling breadth → narrowing participation and structural weakness
Ideal for TOTAL, TOTAL3, or custom crypto baskets on 1D,1W.
Developed by alex975 – Version 1.0 (2025).
-------------------------------------------------------------------------------------
🇮🇹 Versione Italiana
📊 Panoramica
Il Crypto Breadth Engine misura la partecipazione reale del mercato crypto, analizzando la direzione delle 40 principali criptovalute per capitalizzazione.
Non si limita a contare quante coin sono sopra una media mobile, ma calcola la variazione effettiva del prezzo:
+1 se sale, –1 se scende, 0 se invariato.
La somma genera una Breadth Line normalizzata statisticamente, garantendo letture coerenti su diversi timeframe e fasi di volatilità.
🧩 Mascherina dinamica
L’indicatore include una mascherina d’input interattiva che consente di modificare o sostituire liberamente i 40 ticker analizzati (Top 40, Layer-1, DeFi, Meme Coin, ecc.) senza intervenire nel codice.
Questo lo rende sempre aggiornato e adattabile all’evoluzione del mercato crypto.
⚙️ Funzionamento e Trend Bias
Classifica automaticamente il mercato come Bullish, Neutral o Bearish in base alla relazione tra la breadth e le medie mobili (10, 20, 50 periodi).
💡 Dashboard
Una tabella compatta mostra in tempo reale:
• Numero di coin positive e negative
• Percentuale di partecipazione
• Stato attuale del trend
🔍 Interpretazione
• Breadth in crescita → mercato ampio e trend sano
• Breadth in calo → partecipazione ridotta e concentrazione su pochi asset
Ideale per analizzare TOTAL, TOTAL3 o panieri personalizzati di crypto.
Funziona su timeframe 1D, 4H, 1W.
Sviluppato da alex975 – Versione 1.0 (2025).
Crash Stats 15m (ETH) — X% | prev RTH min(VWAP, Close)# Crash Stats 15m (ETH) — X% Drawdown Event Analyzer
A 15-minute indicator that scans up to the last 5 years to find **crash events** where the close falls by at least **X%** relative to the **lower of** the prior day’s **RTH VWAP** and **RTH close**. It then measures recovery and follow-through behavior, tags the market regime around each event, and summarizes everything in a table.
---
## What the script detects
**Crash event (trigger):**
* On a 15-minute bar, `close <= refPrice * (1 - X%)`.
* `refPrice = min(previous RTH VWAP, previous RTH close)`.
* First touch only: subsequent bars below the threshold on the same trading day are ignored.
* Extended hours (ETH) are supported; if ETH is off, the script safely infers the previous RTH reference.
**Per-event measurements**
1. **Time to “turn up”** – first close **above the event-anchored AVWAP** (AVWAP cumulated from the trigger bar onward).
2. **Time to recover the reference price** – first close ≥ `refPrice`.
3. **Time to recover Y% above the crash-day average price** – first close ≥ `crashDayVWAP * (1+Y%)`.
4. **Post-crash lowest price & timing** – the lowest low and how long after the event it occurs, within a user-defined horizon (default 10 trading days, approximated in calendar days).
5. **Intraday RTH low timing** – on the crash day’s RTH session, when did the day’s intraday low occur, and **was it on the first 15-minute bar**?
6. **First 15-minute low of the RTH day** – recorded for context.
All durations are shown as **D days H hours M minutes**.
---
## Regime tagging (A / B)
For each event the script classifies the surrounding trend using daily closes:
* Let `r6m = (prevClose – close_6mAgo) / close_6mAgo`,
`r12m = (prevClose – close_12mAgo) / close_12mAgo`.
* **A**: both `r6m > 0` and `r12m > 0` (uptrend across 6m & 12m).
* **B**: one positive, one negative, and `r6m + r12m ≥ 0` (mixed but net non-negative).
* Otherwise: **—**.
This helps separate selloffs in strong uptrends (A) from mixed regimes (B) and others.
---
## Inputs
* **X — Crash threshold (%)**: default 5.
* **Y — Recovery above crash-day average (%)**: default 5.
* **Lookback years**: default 5 (bounded by data availability).
* **Horizon for post-crash lowest (trading days)**: default 10 (approximated as calendar days).
* **RTH session**: default `09:30–16:00` (exchange timezone).
* **Show markers**: plot labels on triggers.
* **Rows to display**: last N events in the table.
---
## Table columns
* Index, **Trigger time**, **Drop %**, **Ref price**, **Regime (A/B/—)**
* **Time to turn up** (above anchored AVWAP)
* **Time to ref price**, **Time to day VWAP + Y%**
* **Window lowest price**, **Time to window low**
* **RTH first-15m low**, **RTH lowest time**, **Was RTH low on first 15m?**
* **Crash-day VWAP**
---
## How to use
1. **Set chart to 15-minute** and **enable extended hours** for equities (recommended).
2. Keep defaults (**X=5%, Y=5%**) to start; tighten to 3–4% for more frequent events on less volatile symbols.
3. For non-US symbols or futures, adjust the **RTH session** if needed.
4. Read the table (top-right) for per-event diagnostics and aggregate averages (bottom row).
---
## Notes & implementation details
* Works whether ETH is on or off. If ETH is off, the script back-fills “previous RTH” references at the next RTH open and uses the prior daily close as a fallback.
* The “turn up” definition uses **event-anchored AVWAP**, a robust, price–volume anchor widely used for post-shock mean reversion analysis.
* Events are **de-duplicated**: only one event per trading day (per target RTH cycle).
* Lookback is limited by your plan and the data vendor. The script requests deep history (`max_bars_back=50000`), but availability varies by symbol.
* Durations use minute precision and are rendered as **days–hours–minutes** for readability.
---
## Quick troubleshooting
* **No events found**: lower **X%**, enable **ETH**, or ensure sufficient history is loaded (scroll back, or briefly switch to a higher timeframe to force deeper backfill, then return to 15m).
* **RTH boundaries off**: check the **RTH session** input matches the venue.
* **Few rows in table**: increase **Rows to display**.
---
## Typical use cases
* Back-test how fast different symbols tend to stabilize after a sharp gap-down or intraday shock.
* Compare recovery behavior across regimes **A / B** for sizing and risk timing.
* Build playbooks: e.g., if the RTH low occurs on the first 15m bar X% of the time, plan entries accordingly.
---
## Changelog
* **v1.0**: Initial public release with crash detection, anchored-AVWAP reversal, reference & VWAP+Y recovery timers, regime tagging, window-low timing, RTH low timing, and first-15m low capture.
RSI مع 5 متوسطات و5 مستوياتRSI with 5 Moving Averages and 5 Levels
This indicator combines the Relative Strength Index (RSI) with five customizable moving averages and five horizontal levels to help identify momentum, overbought/oversold zones, and trend strength.
• RSI: Measures the speed and change of price movements.
• Levels (10, 20, 50, 80, 90):
• 10 & 20 → Oversold zones (potential buy areas)
• 80 & 90 → Overbought zones (potential sell areas)
• 50 → Neutral midpoint (trend balance line)
• Moving Averages (5, 8, 13, 21, 200):
Smooth the RSI line to reveal short- and long-term momentum trends.
You can choose the type (SMA, EMA, WMA), color, and line thickness.
Optional alert signals can be triggered when the RSI crosses specific levels (e.g., above 80 or below 20).
DTC Killzones ICT🕐 DTC Killzones ICT — Visualize Market Sessions Like a Pro
The DTC Killzones ICT indicator is a clean and intuitive tool designed for traders who want to analyze and visualize institutional trading sessions directly on their charts.
Inspired by ICT’s Killzone concept , this script makes it easy to identify overlapping market sessions — such as London, New York, and Asian — and track how price behaves within each zone.
💡 What It Does
This indicator automatically highlights key market sessions (Killzones) on your chart with fully customizable colors, labels, and transparency.
Each zone dynamically updates to reflect real-time highs and lows, helping you identify:
Session ranges and liquidity zones
Volatility windows and breakout areas
Institutional footprints across sessions
Whether you trade Forex, Indices, or Crypto , this script gives you visual clarity on when and where smart money is likely to move.
⚙️ Main Features
✅ Up to four customizable sessions (New York, London, Asian, and London Close)
✅ Adjustable timeframes and timezone options — sync with your exchange or custom UTC offset
✅ Dynamic high/low range tracking for each session
✅ Toggle range outlines, session labels , and transparency levels
✅ Optional daily dividers and session transition markers
✅ Works on any timeframe and any symbol
🧠 How Traders Use It
ICT-based traders can easily mark Killzones to align with setups like FVGs, liquidity grabs, or Silver Bullet entries.
Intraday traders can visualize session volatility and overlap periods for potential entries.
Swing traders can identify daily structure shifts by tracking range-to-range behavior.
🛠️ Customization
You can fully rename, recolor, or disable each session block.
Adjust the range transparency for visual comfort, and toggle session or daily dividers to fit your workflow.
Everything is designed to be clean, light, and modular — no clutter, no confusion.
⚡ Recommended Settings
For ICT-style analysis:
London Session: 02:00–05:00
New York Session: 07:00–10:00
Asian Session: 19:30–24:00
London Close Session: 10:00–12:00
These time windows are fully editable to suit your timezone or strategy.
🧩 Compatibility
Works seamlessly with TradingView’s built-in timezone tools
Compatible with all instruments and timeframes
Designed to overlay directly on your price chart
🏁 Final Notes
The DTC Killzones ICT indicator focuses purely on market session visualization — no alerts, entries, or trading signals.
It’s designed to complement your existing strategies and enhance clarity when analyzing market behavior across global sessions.
📈 Built for traders who value precision, structure, and timing.
MTC – Multi-Timeframe Trend ConfirmatorMTC – Multi-Timeframe Trend Confirmator
The Ultimate Multi-Timeframe Trend Analysis Tool
MTC v6 is a comprehensive trend confirmation indicator that analyzes market conditions across multiple timeframes simultaneously. It combines six powerful technical indicators to give you a clear, visual representation of trend strength and direction.
🎯 Key Features
Visual Trend Gauge
Real-time trend strength display for 3 customizable timeframes
Progressive bar visualization (fills from left to right)
Color-coded signals: 🟢 Green (Bullish) | 🔴 Red (Bearish) | 🟡 Yellow (Ranging)
Score range: -10 to +10 for precise trend measurement
Multi-Indicator Analysis
The indicator combines 6 proven technical tools:
EMA 200 – Long-term trend direction
SMA 50/200 – Golden/Death cross signals
RSI 14 – Momentum confirmation
MACD – Trend strength validation
ADX (>25) – Trend intensity measurement (2x weight)
Supertrend – Dynamic support/resistance (2x weight)
⚙️ Customization Options
Flexible Timeframes: Set any timeframes you prefer (default: 15M, 1H, 4H)
Adjustable Gauge Size: Small, Medium, or Large display
Toggle Indicators: Enable/disable any of the 6 technical indicators
Supertrend Settings: Customize factor and ATR period
Built-in Alerts: Get notified when trends confirm
📈 How to Use
Score Interpretation:
Score > +2 = Bullish trend
Score < -2 = Bearish trend
Score between -2 and +2 = Ranging/Neutral
Multi-Timeframe Confirmation:
Look for alignment across timeframes for strongest signals
Higher timeframes confirm the overall trend direction
Lower timeframes help with precise entry timing
Visual Background:
Green background = Confirmed uptrend (Higher + Mid TF aligned)
Red background = Confirmed downtrend (Higher + Mid TF aligned)
💡 Perfect For
Swing traders seeking trend confirmation
Day traders analyzing multiple timeframes
Position traders validating long-term trends
Anyone who wants clear, visual trend analysis
Trade with confidence. Trade with confirmation. Trade with MTC
-Natantia
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio.
How it works
Computes the RMS (root-mean-square) of drawdowns over a look-back window.
Rising UI → drawdowns worsening (stress increasing).
Falling UI → drawdowns shrinking (recovery phase).
Red line = Ulcer Index rising.
Lime line = Ulcer Index falling.
Red background = High-risk regime (above threshold).
Green background = Low-risk regime (below threshold).
Use cases
Gauge portfolio stress levels and timing of recovery phases.
Identify “calm vs storm” periods for position sizing.
Combine with volatility or sentiment measures for regime classification.
Defaults
Length = 14
High-risk threshold = 10
Low-risk threshold = 5
Example — NVIDIA (NVDA, 1D)
During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend.
Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
Monthly Color Marker V4
## 📊 Monthly Color Marker - Historical Month Highlighting
### Overview
A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets.
### 🎯 Purpose
- **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months
- **Quick Historical Analysis** - Visual representation of monthly performance over the years
- **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish
- **Seasonal Trading Planning** - Build strategies based on cyclical patterns
### ⚙️ Adjustable Parameters
1. **Month to Mark (1-12)**
- Select the desired month for analysis
- 1 = January, 2 = February... 12 = December
- Default: 11 (November)
2. **Years Back (1-50)**
- Determines how many years back to scan
- Recommended: 10-25 years for statistically reliable data
- Default: 25 years
3. **Bullish Candle Color**
- Color for marking bullish candles (close > open)
- Default: Green
- Customizable to your personal color scheme
4. **Bearish Candle Color**
- Color for marking bearish candles (close < open)
- Default: Red
- Customizable to your personal color scheme
5. **Show Current Year**
- Whether to include the current month in the marking
- Useful when the month hasn't finished yet
- Default: Yes
### 📈 How to Use the Indicator
#### Step 1: Adding to Chart
1. Switch to **Monthly timeframe** - Required!
2. Add the indicator to your chart
3. Select the month you want to analyze
#### Step 2: Initial Analysis
- **Count green vs red candles** - What's the ratio?
- **Look for patterns** - Are there years where the month always rises/falls?
- **Identify outliers** - Years where behavior was different
#### Step 3: Making Decisions
- **Mostly green** → Statistically, the month tends to rise
- **Mostly red** → Statistically, the month tends to fall
- **Mixed** → No clear seasonal pattern
### 💡 Usage Examples
**Example 1: "Santa Claus Rally"**
- Select month 12 (December)
- Check if there are mostly green candles
- If yes, this confirms the well-known year-end rally effect
**Example 2: "September Effect"**
- Select month 9 (September)
- Historically, September is considered a weak month
- Do the data support this for this stock?
**Example 3: Quarterly Earnings**
- Identify which month earnings are released
- Check the historical response
- Plan entry/exit accordingly
### 🔍 Combining with Other Indicators
This indicator works excellently with:
- **Historical Monthly Levels** (the first indicator) - Identify nearby price levels
- **Volume Profile** - Check volume during those months
- **RSI/MACD** - Identify momentum strength in specific months
### ⚠️ Important Notes
1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes
2. **Statistical Sample** - More years = more reliable analysis
3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis
4. **Adjust Colors** - If hard to see, change colors in settings
### 🎨 Tips for Optimal Experience
- **Zoom Out** - See more years at a glance
- **Clean Chart** - Remove unnecessary indicators for clear analysis
- **Compare Stocks** - Check multiple stocks for the same month
- **Document Findings** - Take screenshots and save insights for future reference
### 📊 Recommended Statistics
After identifying an interesting month:
- Calculate success rate (green / total candles)
- Check average volatility
- Identify outlier years and investigate what happened
- Plan entry/exit strategy
### 🚀 Who Is This Indicator For?
✅ **Swing Traders** - Plan medium-term trades
✅ **Seasonal Investors** - Exploit cyclical patterns
✅ **Technical Analysts** - Understand historical behavior
✅ **Portfolio Managers** - Time entries and exits
---
### 📝 Summary
The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market.
**Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy.
---
**Version:** 4.0
**Compatibility:** Pine Script v5
**Timeframe:** Monthly only
**Author:** 954
## 📊 Monthly Color Marker - סימון חודשים היסטוריים
### תיאור כללי
אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס.
### 🎯 מטרת האינדיקטור
- **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים
- **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים
- **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי
- **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות
### ⚙️ פרמטרים מתכווננים
1. **חודש לסימון (1-12)**
- בחירת החודש הרצוי לניתוח
- 1 = ינואר, 2 = פברואר... 12 = דצמבר
- ברירת מחדל: 11 (נובמבר)
2. **שנים אחורה (1-50)**
- קובע כמה שנים אחורה לסרוק
- מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה
- ברירת מחדל: 25 שנים
3. **צבע נר עולה**
- צבע לסימון נרות שורים (close > open)
- ברירת מחדל: ירוק
- ניתן להתאים לסכמת הצבעים האישית
4. **צבע נר יורד**
- צבע לסימון נרות דוביים (close < open)
- ברירת מחדל: אדום
- ניתן להתאים לסכמת הצבעים האישית
5. **צבע את השנה הנוכחית**
- האם לכלול את החודש הנוכחי בסימון
- שימושי כאשר החודש טרם הסתיים
- ברירת מחדל: כן
### 📈 איך להשתמש באינדיקטור
#### שלב 1: הוספה לגרף
1. עבור לטיימפריים **חודשי (Monthly)** - חובה!
2. הוסף את האינדיקטור לגרף
3. בחר את החודש שאתה רוצה לנתח
#### שלב 2: ניתוח ראשוני
- **ספור נרות ירוקים מול אדומים** - מה היחס?
- **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד?
- **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה
#### שלב 3: קבלת החלטות
- **רוב ירוקים** → סטטיסטית החודש נוטה לעלות
- **רוב אדומים** → סטטיסטית החודש נוטה לרדת
- **מעורב** → אין דפוס עונתי ברור
### 💡 דוגמאות שימוש
**דוגמה 1: "Santa Claus Rally"**
- בחר חודש 12 (דצמבר)
- בדוק אם יש רוב נרות ירוקים
- אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה
**דוגמה 2: "September Effect"**
- בחר חודש 9 (ספטמבר)
- היסטורית, ספטמבר נחשב לחודש חלש
- האם הנתונים תומכים בכך במניה זו?
**דוגמה 3: דיווחים רבעוניים**
- זהה בחודש אילו נפרסמים דיווחים
- בדוק את התגובה ההיסטורית
- תכנן כניסה/יציאה בהתאם
### 🔍 שילוב עם אינדיקטורים אחרים
האינדיקטור עובד מצוין בשילוב עם:
- **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות
- **Volume Profile** - בדיקת ווליום באותם חודשים
- **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים
### ⚠️ הערות חשובות
1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים
2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר
3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף
4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות
### 🎨 טיפים לחוויית שימוש מיטבית
- **זום אאוט** - ראה יותר שנים במבט אחד
- **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור
- **השווה מניות** - בדוק מספר מניות לאותו חודש
- **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד
### 📊 סטטיסטיקה מומלצת
לאחר שזיהית חודש מעניין:
- חשב אחוז הצלחה (ירוקים / כל הנרות)
- בדוק תנודתיות ממוצעת
- זהה שנים חריגות ובדוק מה קרה אז
- תכנן אסטרטגיית כניסה/יציאה
### 🚀 למי מתאים האינדיקטור?
✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני
✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים
✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית
✅ **מנהלי תיקים** - תזמון כניסות ויציאות
---
### 📝 סיכום
אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק.
**המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים.
---
**גרסה:** 4.0
**תאימות:** Pine Script v5
**טיימפריים:** חודשי בלבד
**מחבר:** [954
---
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator
Overview
The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities.
Key Features
🎥 Camera & Projection Controls
Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective
Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions
Pro Tip: Increase Z-scale to amplify terrain features for better visibility
🌐 Grid & Surface Configuration
Resolution: Adjust X (16-64) and Y (12-48) grid density
Visual Elements: Toggle surface fill, wireframe, and node markers
Optimization: Higher resolution provides more detail but requires more processing power
📊 Data Integration
Lookback Period: 50-500 bars of historical analysis
Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids
Weighted Analysis: Each data source contributes proportionally to the terrain height
How to Use the Frontend
💛 Price Line Tracking (Your Primary Focus)
The yellow price line is your most important guide:
Monitor Price Movement: Track how the yellow line interacts with the 3D terrain
Identify Key Levels: Watch for these critical interactions:
Order Blocks (Green/Red Zones):
When yellow price line enters green zones = Bullish order block
When yellow price line enters red zones = Bearish order block
These represent institutional accumulation/distribution areas
Liquidity Voids (Yellow Zones):
When yellow price line enters yellow void areas = Potential acceleration zones
Voids indicate price gaps where minimal trading occurred
Price often moves rapidly through voids toward next liquidity pool
Terrain Reading:
High Terrain Peaks: High volume/interest areas (support/resistance)
Low Terrain Valleys: Low volume areas (potential breakout zones)
Color Coding:
Green terrain = Bullish volume dominance
Red terrain = Bearish volume dominance
Purple = Neutral/transition areas
📈 Volume Profile Integration
POC (Point of Control): Automatically marks highest volume level
Volume Bins: Adjust granularity (10-50 bins)
Height Weight: Control how much volume affects terrain elevation
🏛️ Order Block Detection
Detection Length: 5-50 bar lookback for block identification
Strength Weighting: Recent blocks have greater impact on terrain
Candle Body Option: Use full candles or body-only for block definition
💧 Liquidity Zone Tracking
Multiple Levels: Track 3-10 key liquidity zones
Buy/Sell Side: Different colors for bid/ask liquidity
Strength Decay: Older zones have diminishing terrain impact
🌊 Liquidity Void Identification
Threshold Multiplier: Adjust sensitivity (0.5-2.0)
Height Amplification: Voids create significant terrain depressions
Acceleration Zones: Price typically moves quickly through void areas
Practical Trading Application
Bullish Scenario:
Yellow price line approaches green order block terrain
Price finds support in elevated bullish volume areas
Terrain shows consistent elevation through key levels
Bearish Scenario:
Yellow price line struggles at red order block resistance
Price falls through liquidity voids toward lower terrain
Bearish volume peaks dominate the landscape
Breakout Setup:
Yellow price line consolidates in flat terrain
Minimal resistance (low terrain) in projected direction
Clear path toward distant liquidity zones
Pro Tips
Start Simple: Begin with default settings, then gradually customize
Focus on Yellow Line: Your primary indicator of current price position
Combine Timeframes: Use the same terrain across multiple timeframes for confluence
Volume Confirmation: Ensure terrain peaks align with actual volume spikes
Void Anticipation: When price enters voids, prepare for potential rapid movement
Order Blocks & Voids Architecture
Order Blocks Calculation
Trigger: Price breaks fractal swing points
Bullish OB: When close > swing high → find lowest low in lookback period
Bearish OB: When close < swing low → find highest high in lookback period
Strength: Based on price distance from block extremes
Storage: Global array maintains last 50 blocks with FIFO management
Liquidity Voids Detection
Trigger: Price gaps exceeding ATR threshold
Bull Void: Low - high > (ATR200 × multiplier)
Bear Void: Low - high > (ATR200 × multiplier)
Validation: Close confirms gap direction
Storage: Global array maintains last 30 voids
Key Design Features
Real-time Updates: Calculated every bar, not just on last bar
Global Persistence: Arrays maintain state across executions
FIFO Management: Automatic cleanup of oldest entries
Configurable Sensitivity: Adjustable lookback periods and thresholds
Scientific Testing Framework
Hypothesis Testing
Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts
Testable Metrics:
Prediction Accuracy: Does terrain structure predict future support/resistance?
Reaction Time: Faster identification of key levels vs conventional methods
False Positive Reduction: Lower rate of failed breakouts/breakdowns
Control Variables
Market Regime: Trending vs ranging conditions
Asset Classes: Forex, equities, cryptocurrencies
Timeframes: M5 to H4 for intraday, D1 for swing
Volume Conditions: High vs low volume environments
Data Collection Protocol
Terrain Features to Quantify:
Slope gradient changes at price inflection points
Volume peak clustering density
Order block terrain elevation vs subsequent price action
Void depth correlation with momentum acceleration
Control Group: Traditional support/resistance + volume profile
Experimental Group: 3D Institutional Flow Terrain
Statistical Measures
Signal-to-Noise Ratio: Terrain features vs random price movements
Lead Time: Terrain formation ahead of price confirmation
Effect Size: Performance difference between groups (Cohen's d)
Statistical Power: Sample size requirements for significance
Validation Methodology
Blind Testing:
Remove price labels from terrain screenshots
Have traders identify key levels from terrain alone
Measure accuracy vs actual price action
Backtesting Framework:
Automated terrain feature extraction
Correlation with future price reversals/breakouts
Monte Carlo simulation for significance testing
Expected Outcomes
If hypothesis valid:
Significant improvement in level prediction accuracy (p < 0.05)
Reduced latency in institutional level identification
Higher risk-reward ratios on terrain-confirmed trades
Research Questions:
Does terrain elevation reliably indicate institutional interest zones?
Are liquidity voids statistically significant momentum predictors?
Does multi-timeframe terrain analysis improve signal quality?
How does terrain persistence correlate with level strength?
LuxAlgo BigBeluga hapharmonic
Multi-Day SMAmade this script due to the frustration of not having the 5 day SMA added with the 10 20 and 50. I need the 5 SMA for my type of trading to determine when to sell with stocks showing exponential growth.
so heres this: Multi SMA
5 day SMA pink
10 day SMA white
20 day SMA blue
50 day SMA red
200 day SMA green
Crypto Futures Basis Tracker (Annualized)🧩 What is Basis Arbitrage
Basis arbitrage is a market-neutral trading strategy that exploits the price difference between a cryptocurrency’s spot and its futures markets.
When futures trade above spot (called contango), traders can buy spot and short futures, locking in a potential yield.
When futures trade below spot (backwardation), the reverse applies — short spot and go long futures.
The yield earned (or cost paid) by holding this position until expiry is called the basis. Expressing it as an annualized percentage allows comparison across different contract maturities.
⚙️ How the Indicator Works
This tool calculates the annualized basis for up to 10 cryptocurrency futures against a chosen spot price.
You select one spot symbol (e.g., BITSTAMP:BTCUSD) and up to 10 futures symbols (e.g., DERIBIT:BTCUSD07X2025, DERIBIT:BTCUSD14X2025, etc.).
The script automatically computes the days-to-expiry (DTE) and the annualized basis for each future.
A table displays for each contract: symbol, expiry date, DTE, last price, and annualized basis (%) — making it easy to compare the forward curve across maturities.
⚠️ Risks and Limitations
While basis arbitrage is often considered low-risk, it’s not risk-free:
Funding and financing costs can erode returns, especially when borrowing or using leverage.
Exchange or counterparty risk — if one leg of the trade fails (e.g., exchange default, margin liquidation), the hedge breaks.
Execution and timing risk — the basis can tighten or invert before both legs are opened.
Liquidity differences — thin futures may have large bid-ask spreads or slippage.
Use this indicator for analysis and monitoring, not as an automated trading signal.
Disclaimer: Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don't provide any financial advice.
VWMA Series (Dynamic) mtf - Dual Gradient Colored"VWMA Series (Dynamic) mtf - Dual Gradient Colored" is a multi-timeframe (MTF) Volume-Weighted Moving Average (VWMA) ribbon indicator that plots up to 60 sequential VWMAs with arithmetic progression periods (e.g., 1, 4, 7, 10…). Each VWMA line is dual-gradient colored: Base hue = Greenish (#2dd204) if close > VWMA (bullish), Magenta (#ff00c8) if close < VWMA (bearish)
Brightness gradient = fades from base → white as period increases (short → long-term)
Uses daily resolution by default (timeframe="D"), making it ideal for higher-timeframe trend filtering on lower charts.Key FeaturesFeature
Description
Dynamic Periods
Start + i × Increment → e.g., 1, 4, 7, 10… up to 60 terms
Dual Coloring
Bull/Bear + Gradient (short = vivid, long = pale)
MTF Ready
Plots daily VWMAs on any lower timeframe (1H, 15M, etc.)
No Lag on Long Sets
Predefined "best setups" eliminate repainting/lag
Transparency Control
Adjustable line opacity for clean visuals
Scalable
Up to 60 VWMAs (max iterations)
Recommended Setups (No Lag)Type
Example Sequence (Start, Inc, Iter)
Long-Term Trend
1, 3, 30 → 1, 4, 7 … 88
93, 3, 30 → 93, 96 … 180
372, 6, 30 → 372, 378 … 546
Short-Term Momentum
1, 1, 30 → 1, 2, 3 … 30
94, 2, 30 → 94, 96 … 152
1272, 5, 30 → 1272, 1277 … 1417
Key Use CasesUse Case
How to Use
1. Multi-Timeframe Trend Alignment
On 1H chart, use 1, 3, 30 daily VWMAs → price above all green lines = strong uptrend
2. Dynamic Support/Resistance
Cluster of long-term pale VWMAs = major S/R zone
3. Early Trend Change Detection
Short-term vivid lines flip from red → green before longer ones = early bullish signal
4. Ribbon Compression/Expansion
Tight bundle → consolidation; fanning out → trend acceleration
5. Mean Reversion Entries
Price far from long-term VWMA cluster + short-term reversal = pullback trade
6. Volume-Weighted Fair Value
Long-period VWMAs reflect true average price paid over weeks/months
Visual Summary
Price ↑
████ ← Short VWMA (vivid green = close > VWMA)
███
██
█
. . . fading to white
█
██
███
████ ← Long VWMA (pale = institutional average)
Green lines = price above VWMA (bullish bias)
Magenta lines = price below VWMA (bearish bias)
Gradient = shorter (left) → brighter; longer (right) → whiter
Ribbon thickness = trend strength (wide = strong, narrow = weak)
Best For Swing traders using daily trend on intraday charts
Volume-based strategies (VWMA > SMA)
Clean, colorful trend visualization without clutter
Institutional fair value anchoring via long-period VWMAs
Pro Tip:
Use Start=1, Increment=3, Iterations=30 on a 4H chart with timeframe="D" → perfect daily trend filter with zero lag and beautiful gradient flow.
