Señales DMI/ADX 7 + SMA 21 (Pullback Mejorado)It identifies buy and sell signals in 30 minutes with excellent accuracy, using the ADX as a strength indicator, the moving average as a trend indicator, and +DI and -DI crossovers as buy and sell signals.
Moving Averages
20MA / 200 MA Konvergenz & Elephant Bar FilterThe script creates a Momentum Filter designed to identify stocks that are currently exhibiting a transition from long-term price stability to short-term explosive volatility.
1. 🧘 Long-Term Stability Logic (Convergence)
The first part of the script identifies assets in a state of tight consolidation. This suggests that market participants have reached a temporary equilibrium, creating pent-up energy for a future trend.
A. Moving Average (MA) Proximity
The script checks if the fast MA (20 periods) and the slow MA (200 periods) are very close together.
It calculates the percentage difference, filtering for stocks where the separation between the two MAs is less than 2%. This defines the narrow range.
This condition confirms that the short-term and long-term price trends are essentially flat and aligned.
B. Price Nearness to the Long-Term MA
It further ensures that the current closing price is also within a tight range (e.g., less than 2%) of the 200-period MA.
This confirms the asset is actively trading at the center of the consolidation zone, simulating the "parallel" alignment of the MAs.
2. 💥 Explosive Breakout Logic (The Large Candle)
The second part of the script looks for the catalyst—an event that signals a sudden shift in supply and demand, ending the period of calm.
A. Above-Average Body Size
The script calculates the average absolute size of the candle body (the distance between open and close) over the last 20 periods.
It filters for stocks where the current candle body is at least three times (3x) larger than that historical average. This is the core signal of a powerful, convinced price move.
B. High Body-to-Range Ratio
To ensure the move was decisive and met little resistance, the script verifies that the candle body accounts for at least 85% of the candle's total range (high minus low).
This eliminates candles with long wicks (shadows), which would indicate volatility but a lack of directional conviction.
🎯 Summary
The combined screening identifies assets that have maintained long-term stability (MA convergence) but have just experienced a high-conviction, low-resistance breakout (Large Candle), indicating that a new, strong trend may be initiating.
Bästa Bob Multi-RSI 😎👊✅ RSI 7 → Fast impulse indicator
• Shows micro-movements
• Reacts instantly to liquidity sweeps
• Perfect for entry timing
✅ RSI 14 → Macro momentum indicator
• Captures the real trend
• Filters out noise
• Confirms larger market movements
When both are in sync → you get true market direction plus perfect timing.
👉 How to Use RSI 7 + RSI 14
1️⃣ Entry Signals (the best method)
BUY when:
• RSI 7 turns up from oversold
• RSI 14 is also sloping upward or gets crossed by RSI 7 from below
→ Extremely accurate right after a liquidity sweep.
SELL when:
• RSI 7 turns down from overbought
• RSI 14 is sloping downward or gets crossed by RSI 7 from above
→ Works insanely well for fakeouts and FVG entries.
2️⃣ Trend Filter
• When RSI 14 stays above 50 → market is bullish
• When RSI 14 stays below 50 → bearish
RSI 7 is then used only for timing entries.
3️⃣ A++ Setups (your favorite ones 😉🔥)
The best signals appear when:
✔ RSI 7 crosses RSI 14 at the same time as:
• a liquidity sweep happens
• price taps into an FVG or Order Block
• volume reacts
• your trend filter (EMA, HTF) supports the move
This combo is criminally effective when scalping BTC, NAS100, and XAUUSD.
Hash Ratings EngineHash Ratings Engine - Technical Consensus Strategy
A systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management.
What It Does
This strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market.
Key Features
Trend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades.
ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions.
Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts.
Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out.
Settings Guide
Indicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals.
Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion.
Entry Thresholds
Strong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6.
Risk Management
ATR Period: 12 is responsive, 14 is standard, 20+ is smoother.
Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide.
Trail Activation: How far price must move in profit before trailing begins.
Trail Offset: How closely the trail follows price.
Trend Filter
EMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily.
Trade Timing
Cooldown: Keep enabled. 5 bars is a good starting point.
Best Practices
Start with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance.
Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes.
Disclaimer
Past performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.
Swing Trading IndicatorThis script is a swing‑trading dashboard designed for BTC, ETH, S&P 500 (for now). It combines weekly RSI, USDT.D, VIX, moving averages and Fisher Transform into a single visual tool, with background highlights, an on‑chart info table and ready‑made alerts to help you time high‑probability swing entries and manage risk.
1. Overview
The indicator is intended to work on daily timeframe.
Signals are context‑aware: BTC and ETH get USDT.D conditions, SPX gets VIX and EMA‑100 logic, and all non‑ETH symbols can also use Fisher Transform as a mean‑reversion filter.
2. Conditions and background highlights
Each component sets a boolean condition and, when active, paints a background layer:
Weekly RSI condition
True when weekly RSI is below its symbol‑specific threshold.
USDT.D conditions
BTC: triggered when USDT.D is above the user threshold and the chart symbol is BTC.
ETH: same logic for ETH, but tracked separately..
VIX condition (SPX only)
True when VIX high is at or above the VIX threshold while the chart is SPX.
EMA condition (BTC & SPX)
BTC: daily close below EMA‑200.
SPX: daily close below EMA‑100.
Fisher Transform condition (non‑ETH)
Fisher Transform on the chart timeframe, using the configured period.
True when Fisher value is below the Fisher threshold.
3. Intended use and notes
This indicator is designed as a confluence tool for swing traders, not a standalone buy/sell system. It works best on assets that are in a clear uptrend, where the main idea is to accumulate during corrections within that broader bullish structure.
During larger market shocks, deep corrections, or black‑swan events, trend‑based and mean‑reversion filters can produce false signals, because volatility and correlations often behave abnormally in those periods. For that reason, this script should always be combined with independent risk management, higher‑timeframe trend analysis, and your own discretion.
Renkli EMA ve Ok Sinyali by incebacak//@version=5
indicator(, overlay=true)
//
emaLength = input.int(20, "EMA Periyodu")
emaColorUp = input.color(color.green, "EMA Yukarı Renk")
emaColorDown = input.color(color.red, "EMA Aşağı Renk")
barColorUp = input.color(color.new(color.green, 0), "Yukarı Mum Renk")
barColorDown = input.color(color.new(color.red, 0), "Aşağı Mum Renk")
emaThickness = input.int(3, "EMA Kalınlığı")
//
emaValue = ta.ema(close, emaLength)
//
emaRising = emaValue > emaValue
emaFalling = emaValue < emaValue
emaCol = emaRising ? emaColorUp : emaColorDown
plot(emaValue, color=emaCol, linewidth=emaThickness, title="EMA")
//
barcolor(close > emaValue ? barColorUp : barColorDown)
//
plotshape(ta.crossover(close, emaValue), title="Al Sinyali", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(ta.crossunder(close, emaValue), title="Sat Sinyali", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Heikin-Ashi Bar & Line with Colored Line & Signals//@version=6
indicator("Heikin-Ashi Bar & Line with Colored Line & Signals", overlay=true)
// Heikin-Ashi hesaplamaları
var float haOpen = na
haClose = (open + high + low + close) / 4
haOpen := na(haOpen) ? (open + close)/2 : (haOpen + haClose )/2
haHigh = math.max(high, haOpen, haClose)
haLow = math.min(low, haOpen, haClose)
// Trend hesaplamaları
haBull = haClose >= haOpen
haColor = haBull ? color.new(color.green, 0) : color.new(color.red, 0)
// HA Barları
plotcandle(haOpen, haHigh, haLow, haClose, color=haColor, wickcolor=haColor)
// HA Line (renk değişiyor)
lineColor = haBull ? color.green : color.red
plot(haClose, title="HA Close Line", color=lineColor, linewidth=2)
// Trend arka planı
bgcolor(haBull ? color.new(color.green, 85) : color.new(color.red, 85))
// Al/Sat sinyalleri (trend değişimlerinde)
longSignal = haBull and haClose > haOpen and haClose < haOpen
shortSignal = not haBull and haClose < haOpen and haClose > haOpen
plotshape(longSignal, title="Al Sinyali", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(shortSignal, title="Sat Sinyali", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
Fractal MTF MA System Overview Unlock the fractal nature of the market with a single, clean indicator. This tool allows you to visualize the exact same Moving Average length (default: 50) across 5 different timeframes simultaneously. By comparing "apples to apples" across time dimensions, you get a clear, immediate view of the overall market trend and momentum health.
No more switching charts or manually adding 5 different indicators. This script does it all with a single global setting.
Key Features
🧩 Fractal Logic: Applies one consistent calculation (e.g., 50 Period) to 15m, 30m, 1H, 2H, and 4H timeframes.
🎛️ Global Control: Change the Length or MA Type once, and it instantly updates all 5 lines. No need to adjust each line individually.
🚀 3 Calculation Modes: Switch between DEMA (Double Exponential - Default/Fast), EMA (Standard), or SMA (Smooth) to fit your trading style.
🎨 Visual Clarity: Choose between Step mode (for precise MTF levels) or Line mode (for a smoother, cleaner look).
How to Use This Indicator
1. Trend Following (The Fan) When the market is trending strongly, the lines will stack in perfect order:
Bullish: Price > 15m > 30m > 1H > 2H > 4H.
Bearish: Price < 15m < 30m < 1H < 2H < 4H.
Strategy: Ride the trend as long as the "Fan" is open and orderly.
2. Mean Reversion (The Snap-Back) When the price moves too far from the anchor line (the 4H line) and the gaps between the lines become extreme, the market is "overextended" (like a stretched rubber band).
Strategy: Watch for price to stall and cross back over the fastest line (15m) as an early sign of a correction towards the slower averages.
3. Dynamic Support & Resistance During a trend, price often pulls back to test the 1H or 2H lines before continuing. These lines act as dynamic support zones.
Settings
Global Length: Sets the lookback period for ALL lines (Default: 50).
MA Type: Select DEMA, EMA, or SMA.
Line Style: Toggle between Step (precise) or Line (smooth).
Individual Toggles: You can hide specific timeframes via the settings menu if you want a cleaner chart.
Enjoy the clean charts! Feedback and likes are appreciated. 🚀
Quicksilver Master Terminal [Institutional]Overview
The Quicksilver Master Terminal is a comprehensive data visualization interface designed to bring institutional-grade market awareness to the retail chart. It replaces the need for multiple cluttered indicators by consolidating Trend, Momentum, Volatility, and Structure into a single Heads-Up Display (HUD).
Designed by Quicksilver Algo Systems, this tool is engineered for precision scalpers and prop firm traders who require instant situational awareness without switching timeframes.
Features
1. The Institutional HUD (Heads-Up Display)
Located in the top-right corner, this live dashboard provides real-time metrics on:
Market Structure: Instantly identifies if the asset is in a Bullish or Bearish regime relative to the 200 EMA.
Momentum Status: Tracks overbought/oversold conditions using smoothed Stochastic logic.
Volatility (ATR): Displays live Average True Range data for precise Stop Loss placement.
Volume Flow: Detects institutional volume spikes (1.5x average).
2. The Trend Cloud
A dynamic visual ribbon that fills the space between the Fast EMA (50) and Slow EMA (200).
Green Cloud: Strong Bullish Trend (Look for Longs).
Red Cloud: Strong Bearish Trend (Look for Shorts).
Cross: Visual warning of trend reversals.
3. Sniper Signal Logic
The script paints "INSTITUTIONAL BUY" and "INSTITUTIONAL SELL" labels only when high-probability confluence occurs:
Exhaustion: Stochastic RSI breaches extreme levels (<20 or >80).
Confirmation: Price action aligns with Heikin Ashi smoothing to filter noise.
Momentum: Fast %K crosses Slow %D.
How to Use
For Scalping (1m - 5m): Wait for the Trend Cloud to align with the Signal. Take "BUY" signals only when the Cloud is Green.
For Risk Management: Use the live "Volatility" number in the HUD to set your Stop Loss (e.g., 1.5x the current Volatility value).
About the Developer
This script is part of the Quicksilver Ecosystem. We build algorithmic solutions focused on capital preservation and risk management for funded traders.
Disclaimer: This tool is for educational market analysis only. Past performance is not indicative of future results.
3 EMA Crossover + Background + Adjustable Arrow Size + Alerts3 EMAs to set; when the fast EMA crosses the middle EMA, an arrow is generated and the background is colored according to the direction.
LSI Slim - EMA4/8 + Volume Filter + Sweep Targets V1📌 LSI Slim – EMA4/8 + Volume Filter + Sweep Targets
LSI Slim is a lightweight but highly effective market-structure tool that combines liquidity sweep detection, volume confirmation, higher-TF EMA signals, and dynamic target generation.
It is designed for traders who want a clean chart, fast confirmation, and objective target levels derived from real market behavior.
🔍 Key Features
1. Liquidity Sweep Detection
Automatically identifies simple bullish and bearish liquidity sweeps using recent swing extremes.
Each sweep is stored and plotted with optional fading lines to visually track market intent.
2. EMA 4/8 Confirmation (Higher Timeframe)
Built-in higher-timeframe confirmation using EMA 4 and EMA 8 crossovers.
Cross signals can optionally display labels and debug markers.
3. Adaptive Volume Filter
Two selectable volume-strength modes:
Incremental z-score increase
Negative-to-positive transition
The volume filter acts as an additional confirmation layer for sweep validations.
4. Intelligent Target Generation
Once a sweep is confirmed:
Targets (TP1–TP4) are projected using daily range or ATR fallback
Optional FVG override automatically snaps TP1 to the nearest Fair Value Gap when relevant
Targets are rendered with adjustable opacity and forward extension
5. Clean Visual Interface
Designed to stay lightweight and non-intrusive:
Adjustable max number of sweep lines
Optional fading for older levels
Minimalistic labels and shapes for clarity
🎯 Ideal For
Liquidity-based traders
Market structure practitioners
EMA-trend traders
Volume confirmation strategies
Intraday and swing trading across all markets
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test on historical data and use proper risk management.
Fekry BB Entry/Exit with EMA FilterThis indicator is based on Bollinger Bands and exponential moving average strategy by Mr Kekry Zain
MA and EMA Cross [Pure Strategy]Simple EMA/SMA Crossover
This indicator signals BUY or SELL entries when the Fast EMA crosses the Slow SMA.
✅ Best For: Catching the start of strong trends.
⚠️ Warning: May give false signals in sideways (choppy) markets.
💡 Tip: Use this as a secondary confirmation for your existing strategy, rather than a standalone tool.
Session Sweep System – WarRoomXYZ V1WarRoom Session Sweep System v1 is a open-source institutional trading framework built to identify liquidity behavior across Asia, London, and New York sessions.
It combines session-based liquidity mapping, sweep detection, daily expansion modeling, and trend confirmation into a unified, timing-driven system optimized for XAUUSD, FX pairs, indices, and any instrument with session-dependent volatility.
This tool does not attempt to predict direction with arbitrary oscillators.
Instead, it focuses on the underlying market mechanisms that drive price:
liquidity, timing, expansion, and trend alignment.
Below is a detailed explanation of what the script does, how its components work, and how traders can use it effectively.
🔹 1. Session Liquidity Mapping
The script automatically identifies the Asia (00:00–06:00 GMT), London (07:00–12:00 GMT), and New York (13:00–17:00 GMT) sessions and builds real-time session ranges.
Each session creates a liquidity pool.
Trading institutions frequently sweep the high or low of one session before delivering the real move in the next session.
This script captures that behavior by:
►Drawing session range boxes
►Tracking previous session highs/lows
►Highlighting high-probability sweep locations
These ranges are essential reference points for timing entries and exits.
🔹 2. Liquidity Sweep Detection (Buy & Sell Sweeps)
The indicator identifies when price runs a previous session high/low and rejects back inside the range, which is commonly interpreted as a liquidity sweep.
The following sweep types are monitored:
►London sweeping Asia
►New York sweeping London
►Asia sweeping New York
►Daily sweep of PDH/PDL
Sweeps signal that liquidity has been collected and that a potential reversal or continuation is likely.
These are marked clearly on the chart for real-time decision-making.
🔹 3. Killzone Timing Model (GMT Time)
Market manipulation and expansion often occur during specific time windows.
The script highlights these institutional killzones:
►London Killzone: 07:00–10:00 GMT
►New York Killzone: 13:30–15:30 GMT
►NY PM Session: 19:00–21:00 GMT
Sweeps occurring inside these windows carry a significantly higher probability.
The timing layer helps filter out low-quality setups.
🔹 4. Daily Range & ADR Expansion Engine
A dedicated panel displays:
►Current day range
►ADR (Average Daily Range)
►Expansion stage (Early / Developed / Extended)
►PDH/PDL swept or intact
►Overall session bias
This allows traders to understand whether the daily move is likely to continue or reverse.
For example:
►Early expansion → trend continuation likely
►Extended expansion → reversal setups become more probable
This is useful for intraday targets and risk management.
🔹 5. MA Cloud Trend Model (Fast/Slow Structure)
To align liquidity behavior with directional conviction, the script includes a configurable MA engine:
►Fast & slow MA
►MA cloud
►Slope-based trend coloring
►Trend background
►MA cross alerts
The cloud provides trend confirmation without relying on oscillators.
Trades are higher quality when the sweep direction aligns with the MA trend.
🔹 6. How the Components Work Together
The script integrates several institutional concepts into one coherent model:
►Sessions define liquidity pools
►Sweeps identify stop-hunts and reversals
►Killzones define optimal timing
►MA Cloud confirms directional bias
►ADR engine indicates expansion potential
This creates a structured framework:
Sweep → Timing → Trend → Expansion → Execution
Each component strengthens the others, forming a robust decision-making model.
🔹 7. How to Use the Indicator (Practical Guide)
✔ Look for a sweep of a previous session level
When price runs a session high/low and closes back inside, liquidity has likely been collected.
✔ Confirm timing
Sweeps inside London or NY killzones tend to produce the strongest moves.
✔ Confirm trend
Use MA cloud direction and slope:
►Cloud green → long setups preferred
►Cloud red → short setups preferred
✔ Check ADR panel
If the day has already expanded significantly, reversal setups are more likely.
If expansion is still early, continuation setups are favored.
✔ Plan your trade
Common targets include:
►Opposite side of session range
►ADR High/Low
►PDH/PDL
Stops are typically placed beyond the sweep wick.
This creates a repeatable, rule-based approach to intraday liquidity trading.
🔹 8. Why This Script Is Original
This is not a mashup of existing open-source indicators.
It introduces:
►A custom session-linked liquidity sweep engine
►A structured daily expansion model
►Integrated killzone timing aligned with GMT
►A unified bias panel merging sweeps, ADR, and session manipulation
►A trend confirmation layer designed around session behavior
While it uses known institutional concepts, their integration, execution, and timing framework are unique, purpose-built, and not directly found in open-source scripts.
🔹 9. Suitable Markets
This indicator works best on:
►XAUUSD
►Major FX pairs
►US indices
►Synthetic markets with session cycles
Ideal timeframes: 1m, 5m, 15m, 30m
🔹 10. Limitations / Notes
This is an analytical tool, not a buy/sell signal generator
All sweeps are confirmed at candle close (non-repaint)
The tool assumes GMT session windows unless chart time differs
Users must practice risk management and entry triggers manually
Disclaimer
This script is provided for informational and educational purposes only. It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user.
This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes.
Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution.
Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
8EMA+BB-SubiProvides the facility to display 8 EMAs along with Bollinger Bands in the same indicator.
Multi-MA + Trend StatusMulti-MA + Trend Status is a streamlined trend analysis tool designed to simplify market state identification using a robust Moving Average (MA) crossover logic. By analyzing the relationship between price and three key Moving Averages (Fast, Medium, and Slow), this indicator instantly classifies the market into one of 9 distinct trend phases, displayed as a clean, non-intrusive text overlay on your chart.
Created by ivanpsh (MIT License).
Key Features
9 Distinct Trend States: Automatically detects and displays specific market conditions:
🟢 Bullish Phases: Uptrend, Bullish Crossover, Fast Bullish Crossover, Bottom Bounce.
🔴 Bearish Phases: Downtrend, Bearish Crossover, Fast Bearish Crossover, Top Pullback, Dead Cat Bounce.
Visual Simplicity: Displays the current market status in a large, transparent text overlay (Bottom Right by default) that provides instant clarity without cluttering your analysis.
Multi-Timeframe (MTF) Support: Monitor the trend of a higher timeframe (e.g., Daily) while trading on a lower timeframe (e.g., 5-minute) without switching charts.
Fully Configurable MAs:
Types: Supports SMA, EMA, RMA (Wilder's), WMA, and VWMA.
Lengths: Fully adjustable lengths (Defaults: 20, 50, 250).
Source: Calculation source is customizable (Close, Open, High, Low, HL2, etc.).
Integrated MA Overlay: Optionally view the actual Moving Average lines on the chart.
Color Coded: Fast (Purple), Medium (Orange), and Slow (Red) for easy differentiation.
Toggle: Lines are visible by default but can be hidden instantly via settings.
How It Works
The indicator logic compares the current Price against three Moving Averages (Default: 20, 50, 250) to determine the market "Health":
Uptrend: Price > 20 > 50 > 250 (Strongest Bullish Signal)
Downtrend: Price < 20 < 50 < 250 (Strongest Bearish Signal)
Crossovers: Identifies early reversals when Fast/Medium MAs cross the Slow MA.
Bounces & Pullbacks: Identifies specific retracement patterns (e.g., "Bottom Bounce" or "Top Pullback") where price interacts with MAs in a counter-trend move.
Settings Guide
Indicator Timeframe: Select the timeframe used for calculations (Default: Chart).
MA Type: Choose the averaging method (Default: SMA).
Visuals: Customize text size, screen position, and opacity.
Show 'No Match' Text: By default, the text overlay hides if the market is choppy and fits none of the 9 specific states. You can enable this to see a "No Logic Match" status instead.
This script is open-source under the MIT license. Feel free to use, study, and modify it for your own trading systems.
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
Fundamental Analysis DashboardFundamental Analysis Dashboard
Valuation | P/E, P/B, P/S, EV/EBITDA, PEG, FCF Yield
Profitability | ROE, ROA, ROIC, Net Margin, Gross Margin, Operating Margin
Growth | EPS Growth YoY, Revenue Growth YoY, EPS TTM
Financial Health | Debt/Equity, Current Ratio, Quick Ratio, Net Cash, FCF
Dividends | Dividend Yield, Payout Ratio, DPS
Technical Context | Price vs EMA50/200, RSI, 52-Week Position
The dashboard calculates a Fundamental Score (0-100) based on weighted criteria across all sections:
80-100: Excellent
65-79: Good
50-64: Fair
35-49: Weak
0-34: Poor
Ghost Super EMAGhost Super EMA: Dynamic Dual-Filter Trend System
Indicator Overview
The GHOST SUPER EMA is a robust trend-following indicator designed to give traders a comprehensive view of trend direction, volatility, and bias. It achieves this by combining a unique mashup of two distinct Supertrend bands with a single Exponential Moving Average (EMA).
The result is a triple-layered visualization of the market's structure: the two Supertrend bands form a Dynamic Cloud for visual support/resistance, and the EMA provides a crucial speed confirmation filter.
Core Components & Technical Justification
The core of this indicator functions powerfully on the current chart timeframe when the Timeframe input is left blank. The components are combined to create a unique, layered filtration system:
Outer Supertrend (Factor 3.35): This is the Macro-Trend Boundary. Its higher factor creates a slower, wider band that acts as the primary threshold for trend direction, preventing noise-related whipsaws often seen with standard settings.
Inner Supertrend (Factor 1.67): This is the Volatility Boundary. Its lower factor makes it quicker and measures current market momentum. It provides an early alert for volatility contraction or expansion within the established macro-trend.
Supertrend Cloud: The visual area between the two Supertrend bands represents a Dynamic Support/Resistance Zone. The cloud's width reflects market volatility. Price trading within this zone signals potential consolidation or momentum loss. Its color is determined by the Close price relative to the Outer Supertrend.
EMA (Length 20): This is the Speed Confirmation Filter. A classic trend measurement, its color (Green/Red) serves as an independent velocity check, validating the primary trend signal from the Supertrend Cloud.
Trading Signals and Confirmation
A confirmed trading bias requires the simultaneous alignment of both the Cloud and the EMA:
🟢 Bullish Confirmation (Go Long): The Supertrend Cloud is Green (Price above Outer ST) AND the EMA is Green (Price above EMA).
🔴 Bearish Confirmation (Go Short): The Supertrend Cloud is Red (Price below Outer ST) AND the EMA is Red (Price below EMA).
Optional Advanced Filtering: Multi-Timeframe (MTF) Tool
The Timeframe input is optional and serves as an advanced filter for obtaining market context.
Function: By entering a Higher Timeframe (HTF) value (e.g., entering "4H" or "D"), the indicator uses the request.security() function to fetch all three components (Dual Supertrend and EMA) from that stable, larger timeframe.
Utility: This anchors trading decisions to the macro-trend, filtering out lower-timeframe noise and false signals. Traders can ensure their entries on a fast chart (e.g., 5-minute) are aligned with the dominant trend of the chosen higher timeframe (e.g., 1-hour). If the input is left blank, the indicator runs on the current chart's timeframe.
Customizable Settings
The following inputs are available for user configuration:
ATR Length: Period for Average True Range calculation (Default: 10).
Supertrend Factor 1: Factor for the Outer (Slow) Supertrend (Default: 3.35).
Supertrend Factor 2: Factor for the Inner (Fast) Supertrend (Default: 1.67).
EMA Length: Period for the Exponential Moving Average (Default: 20).
Timeframe: Optional MTF input. Leave blank for current chart timeframe (Default: "").
Disclaimer: Past performance is not indicative of future results. This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions.
5MA＋スーパートレンド + Disparity Scalping (SIMPLE FILTER)5MA + ATR Trend Filter + Disparity Scalping
This indicator combines a five-EMA trend framework, an ATR-based trailing trend line, a volatility breakout detector, and an ultra-fast scalping module using RSI and custom momentum prediction.
It is designed for both trend continuation and rapid reversal trading.
🔹 Main Components
1️⃣ Five-EMA Trend Framework
Uses 9 / 20 / 50 / 100 / 200 EMAs
Identifies short-term and long-term market direction
Provides dynamic support and resistance
Helpful for determining breakout vs. pullback conditions
2️⃣ ATR-Based Trailing Trend Line
Uses ATR multiplier to build a trailing stop line
Color change indicates directional shift
Works as a trend filter or trailing stop reference
Helps avoid counter-trend trades during strong trends
3️⃣ High-Volatility Breakout Detector (Optimized for Fast Markets)
Uses ATR expansion, Bollinger band breakout, and volatility comparison (HV vs RV)
Detects sudden market acceleration
Generates breakout BUY/SELL signals when volatility pressure aligns with direction
Useful for explosive markets such as gold or crypto, but compatible with all assets
4️⃣ Ultra-Fast Disparity Scalper
Measures price distance from EMA5 and EMA10
Uses RSI for exhaustion filtering
Predicts momentum turns with a custom RVI-based algorithm
Generates early reversal BUY/SELL signals before full market reaction
Designed for scalping in high-speed environments
5️⃣ Simple Overheat Filter
Blocks trades in extremely overbought/oversold zones
Gray signals indicate low-quality trade setups to avoid
Helps remove “chasing” entries during excessive deviation
🎯 Best Use Cases
Scalping fast reversals
Entering trends after confirmed volatility breakouts
Filtering entries during extreme overbought/oversold phases
Combining EMA structure with breakout momentum
⚠️ Important Notice
This tool is designed to support decision making, not guarantee trade results.
For best performance, combine with:
Price action (market structure)
Volume/volatility context
Support and resistance analysis
🏷️ Short Description (for compact summary)
Five-EMA trend structure with ATR trailing filter, volatility breakout detection, and ultra-fast scalping using RSI + momentum prediction. Suitable for both rapid reversals and trend continuation setups.
MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy
This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators.
Originality & Key Features
The script's originality and utility lie in the combination of its two primary, optional filtering mechanics:
Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry:
Crossover (Classic): Immediate entry when the price crosses the main MA.
Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets.
Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction.
How to Use the Strategy
The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA.
Core Logic:
Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode).
Directional Filter: The Trend Filter must confirm the direction (if enabled).
Exit: Trades are exited on the opposite price crossover of the Main MA.
Customizable Settings Include:
Main MA Type & Length (Default: 40 EMA): The primary signal generator.
Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias.
Entry Mode: Switch between Crossover or Full Candle Confirmation.
Strategy Results and High-Risk Disclaimer
The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart.
This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.
