[COG] NautilusOverview
This indicator combines multiple technical analysis tools to identify high-probability entry points in trending markets. It uses moving average crossovers for trend direction, Bollinger Bands for mean reversion opportunities, and optional filters to reduce false signals and avoid choppy market conditions.
What Makes This Indicator Unique
Heiken Ashi Toggle:
All calculations can be performed on either regular or Heiken Ashi candles with a single click
Multi-Layer Filtering System: Four independent filters work together to improve signal quality
First Entry Detection: Automatically identifies and labels the first signal after a trend change
Anti-Overtrading Protection: Built-in cooldown mechanism prevents signal spam
Core Components
1. Trend Detection (EMA/SMA Crossover)
The indicator uses a 15-period EMA and 50-period SMA to determine market direction. Buy signals only occur when EMA > SMA, and sell signals only when EMA < SMA.
// Trend Detection
bullishTrend = ema15 > sma50
bearishTrend = ema15 < sma50
2. Bollinger Bands Mean Reversion
Entry signals trigger when price touches or penetrates the Bollinger Bands, indicating potential reversal or pullback opportunities within the established trend.
//Bollinger Band Touch Detection
lowerBandTouch = selectedLow <= bbLower
upperBandTouch = selectedHigh >= bbUpper
// Base Entry Conditions
baseBuySignal = bullishTrend and lowerBandTouch and bullishClose
baseSellSignal = bearishTrend and upperBandTouch and bearishClose
3. Candle Confirmation
Signals require a bullish candle close (close > open) for buy signals and bearish candle close (close < open) for sell signals, ensuring momentum alignment.
// Candle Close Type
bullishClose = selectedClose > selectedOpen
bearishClose = selectedClose < selectedOpen
Optional Filters (All Toggleable)
Filter 1: StochRSI Momentum
Ensures entries occur during oversold/overbought conditions. Buy signals require StochRSI < 20, sell signals require StochRSI > 80.
// StochRSI Calculation
rsi = ta.rsi(stochRSISource, rsiLength)
stochRSI_K = ta.sma(ta.stoch(rsi, rsi, rsi, stochRSILength), stochKSmooth)
// Filter Conditions
stochRSIOversoldCondition = stochRSI_K < stochRSIOversold
stochRSIOverboughtCondition = stochRSI_K > stochRSIOverbought
Filter 2: MA Separation (Anti-Chop)
Blocks signals when moving averages are too close together, indicating sideways/choppy market conditions. Default threshold is 1% separation.
// Calculate percentage separation between EMA and SMA
maSeparationPct = (math.abs(ema15 - sma50) / sma50) * 100
// MA separation filter condition
maSeparationValid = maSeparationPct >= maSeparationThreshold
Why this matters: When the 15 EMA and 50 SMA are very close (< 1% apart), the market is typically consolidating. Signals in these conditions have lower win rates.
Filter 3: Cooldown Period
Prevents over-trading by blocking new signals for a specified number of bars (default: 10) after a signal occurs. Buy and sell cooldowns are tracked separately.
// Variables to track the bar index of the last signal
var int lastBuySignalBar = na
var int lastSellSignalBar = na
// Calculate bars since last signal
barsSinceLastBuy = na(lastBuySignalBar) ? 999999 : bar_index - lastBuySignalBar
// Cooldown filter condition
buyCooldownValid = barsSinceLastBuy >= cooldownBars
// Update tracking when signal fires
if buySignal
lastBuySignalBar := bar_index
Advanced Features
Heiken Ashi Mode
Toggle between regular candles and Heiken Ashi candles for all calculations. Heiken Ashi candles smooth price action and can reduce false signals in volatile markets.
// Fetch Heiken Ashi OHLC values
= request.security(
ticker.heikinashi(syminfo.tickerid),
timeframe.period,
)
// Select which OHLC to use based on toggle
selectedClose = useHeikenAshi ? haClose : close
First Entry Detection
Automatically identifies and labels the first signal after a trend change with "1. Trend Cycle Entry" text. This helps traders distinguish between fresh trend entries and continuation signals.
// Detect trend changes
trendChangedToBullish = bullishTrend and not bullishTrend
// Reset tracking when trend changes
if trendChangedToBullish
hadBuySignalInCurrentBullTrend := false
// Identify first signal in new trend
isFirstBuyInTrendCycle = buySignal and not hadBuySignalInCurrentBullTrend
How Signals Are Generated
The indicator uses a layered approach where each condition must be satisfied:
// Apply all filters
buySignal = enableBuySignals and baseBuySignal and
(not enableStochRSIFilter or stochRSIOversoldCondition) and
(not enableMASeparationFilter or maSeparationValid) and
(not enableCooldownFilter or buyCooldownValid)
Buy Signal Requirements:
✅ 15 EMA above 50 SMA (bullish trend)
✅ Candle low touches or goes below lower Bollinger Band
✅ Candle closes bullish (green)
✅ (Optional) StochRSI < 20
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Sell Signal Requirements:
✅ 15 EMA below 50 SMA (bearish trend)
✅ Candle high touches or goes above upper Bollinger Band
✅ Candle closes bearish (red)
✅ (Optional) StochRSI > 80
✅ (Optional) MA separation > threshold %
✅ (Optional) Cooldown period expired
Customization Options
Moving Averages:
Adjustable EMA length (default: 15)
Adjustable SMA length (default: 50)
Source selection (Close, Open, High, Low, HL2, HLC3, OHLC4)
Bollinger Bands:
Adjustable length (default: 20)
MA type selection (SMA, EMA, SMMA, WMA, VWMA)
Adjustable standard deviation multiplier (default: 2.0)
StochRSI Filter:
Adjustable RSI length (default: 14)
Adjustable Stochastic length (default: 14)
Customizable oversold/overbought levels (default: 20/80)
MA Separation Filter:
Adjustable minimum separation percentage (default: 1.0%)
Cooldown Filter:
Adjustable cooldown period in bars (default: 10)
Visual Settings:
Customizable colors for all elements
Adjustable line widths
Toggle first entry labels on/off
How to Use
Basic Setup: Apply the indicator to your chart. By default, it shows moving averages, Bollinger Bands, and entry signals.
Choose Your Mode: Enable Heiken Ashi mode if you prefer smoother signals and are willing to accept some lag.
Enable Filters: Start with all filters disabled to see raw signals. Then enable filters one by one:
Start with MA Separation filter to avoid choppy markets
Add StochRSI filter to catch better momentum conditions
Add Cooldown filter to prevent over-trading
Adjust Parameters: Tune the parameters based on your timeframe and trading style:
Lower timeframes: Consider shorter cooldown periods
Higher timeframes: May want tighter MA separation requirements
Watch for First Entry Labels: The "1. Trend Cycle Entry" label highlights the highest-probability signals occurring right after trend changes.
Important Notes
⚠️ This indicator does not repaint. All signals appear on closed candles only.
⚠️ Past performance is not indicative of future results. This indicator should be used as part of a complete trading strategy with proper risk management.
⚠️ Filters reduce signal frequency: Enabling multiple filters will significantly reduce the number of signals. This is intentional to improve quality over quantity.
⚠️ Heiken Ashi mode considerations: While HA mode smooths signals, it can also introduce lag. Test both modes on your preferred timeframe.
Best Practices
Always backtest on your preferred timeframe before live trading
Start conservative with tighter filters, then loosen if needed
Pay special attention to "First Entry" signals for highest probability setups
Use appropriate position sizing and stop losses
Consider market conditions: trending vs ranging
Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Trading involves substantial risk of loss. Always do your own research and consider your risk tolerance before trading.
指標和策略
Cyberpunk Pattern Engine⚡ Cyberpunk Pattern Engine: Neon Technical Analysis
Upgrade your chart aesthetics while maintaining surgical precision. The Cyberpunk Pattern Engine is a high-performance pattern recognition script designed to identify classic reversal formations with a futuristic, neon-soaked visual style.
🛠️ Key Features
・Automated Pattern Detection: Real-time identification of four major price action structures:
・Double Top (DT) - Neon Pink
・Double Bottom (DB) - Neon Cyan
・Head & Shoulders (H&S) - Neon Green
・Inverse H&S (iH&S) - Neon Gold
・Cyber-Visuals: Uses the linefill engine to create semi-transparent glowing triangles, making chart patterns instantly recognizable without cluttering your price action.
・Dual-Language Support: Toggle labels between English and Japanese with a single click.
・Sensitivity Control: Adjust the "Pivot Period" and "Max Difference %" to filter out market noise and find only the most textbook-perfect setups.
🚀 How to Use
1. Pivot Period: Larger values find long-term trends; smaller values find scalp opportunities.
2. Max Difference: Controls how "equal" the tops/bottoms must be. Decrease for strict perfection, increase for more frequent signals.
3. Confirmation: The engine paints the completed pattern once the price crosses the neckline (confirmation level).
日本語版 (Japanese Description)
⚡ Cyberpunk Pattern Engine: ネオン・テクニカル・エンジン
チャート分析に「美学」と「精度」を。Cyberpunk Pattern Engineは、伝統的なチャートパターンを検出し、近未来的なサイバーパンク・スタイルで可視化する高性能インジケーターです。
🛠️ 主な機能
・自動パターン検出: 主要な4つの反転パターンをリアルタイムで識別します：
・ダブルトップ (DT) - ネオンピンク
・ダブルボトム (DB) - ネオンシアン
・三尊 / Head & Shoulders (H&S) - ネオングリーン
・逆三尊 / Inverse H&S (iH&S) - ネオンゴールド
・サイバー・ビジュアル: linefill機能を駆使し、半透明の光る三角形で描画。チャートの視認性を損なうことなく、瞬時に形状を把握できます。
・2ヶ国語対応: ラベル表示を日本語と英語で切り替え可能。
・感度カスタマイズ: 参照期間（Pivot Period）や許容誤差（Max Diff %）を調整することで、ノイズを排除し、自身のトレードスタイルに最適な形状のみを抽出できます。
🚀 使い方
1. 参照期間 (Pivot Period): 数値を大きくすると長期足レベルの大きな波を、小さくするとスキャルピング向けの小さな波を検出します。
2. 許容誤差: 頂点や肩の高さがどれくらい揃っていればパターンとみなすかを調整します。厳格な判断には数値を下げてください。
3. 確定条件: 価格がネックラインをブレイクし、パターンが完成したタイミングで描画が実行されます。
Contango/Backwardation Futures Box Desk - TT ToolsContango / Backwardation Futures Box – TT Tools
This indicator provides a clear, compact, and intuitive view of the Contango / Backwardation structure of a futures curve, displayed directly on the chart through an advanced informational box.
It is designed for discretionary traders, spread traders, and curve analysis, with an optimized visualization for both desktop and mobile use.
The box displays the real-time Contango or Backwardation structure of the futures curve, including:
curve status (Contango / Backwardation / Flat)
percentage spread between the front contracts
prices of the three expiries (Near, Mid, Far) with directional indicators
confirmation or non-confirmation of the curve structure
contract expiration date with remaining days countdown
rollover warning when expiration is approaching
The box is fully optimized for Desktop, Compact, and Mobile layouts, ensuring a clean, adaptive design and always-readable information.
Quick Start Guide
Select the futures contracts
Insert the nearest futures contracts into Front (1), Next (2) and Third (3), starting from the front-month contract.
You can easily find the correct contract using “Change Symbol”, filtering by Futures and selecting the appropriate expiry.
Check the contract expiry
Identify the rollover date directly on the chart using Events → Contract Switch.
This helps you confirm that you are analyzing the correct futures expiration.
Set the NEXT EXPIRY date
Enter the next futures expiration date in the NEXT EXPIRY (exact date) field.
Simply match it with the contract switch shown on the chart to stay perfectly aligned.
Monitor the curve
The box displays in real time:
curve structure (Contango / Backwardation / Flat)
percentage spread between expiries
prices of the three contracts with directional indicators
structure confirmation status
days-to-expiry countdown
visual rollover warning when expiration approaches
👉 Always keep contracts and expiry dates updated to ensure an accurate reading of the futures curve and to anticipate rollover phases correctly.
__________________________________________________________
Backwardation Futures Box – TT Tools
Questo indicatore mostra in modo chiaro, compatto e immediato la struttura Contango / Backwardation di una curva futures, direttamente sul grafico tramite un box informativo avanzato. È pensato per trader discrezionali, spread traders e analisi di curva, con una visualizzazione ottimizzata sia per desktop che per mobile.
Il riquadro box mostra in tempo reale la struttura di Contango o Backwardation della curva futures, includendo:
• stato della curva (Contango / Backwardation / Flat)
• spread percentuale tra le prime scadenze
• prezzi delle tre scadenze (Near, Mid, Far) con indicatori direzionali
• conferma o meno della struttura della curva
• data di scadenza del contratto e countdown ai giorni residui
• avviso di rollover imminente
Il box è ottimizzato per Desktop, Compact e Mobile, con layout adattivo e informazioni sempre leggibili.
Mini guida operativa
Selezione dei contratti
Inserisci nel box Front (1), Next (2) e Third (3) i future più prossimi a scadenza, partendo dal contratto front-month.
Puoi cercare rapidamente il contratto corretto tramite “Cambia simbolo”, filtrando per Futures e selezionando la scadenza desiderata.
Controllo della scadenza
Individua la data di rollover direttamente sul grafico tramite la sezione Eventi → Switch di contratto.
Utilizza questa informazione per verificare di stare analizzando la scadenza corretta.
Impostazione della NEXT EXPIRY
Inserisci nel campo NEXT EXPIRY (data precisa) la data di scadenza del prossimo future.
È sufficiente confrontarla con lo switch di contratto visibile sul grafico per essere allineati correttamente.
Monitoraggio della curva
Il box mostra in tempo reale:
struttura della curva (Contango / Backwardation / Flat)
spread percentuale tra le scadenze
prezzi dei tre contratti con direzione relativa
conferma o meno della struttura
countdown ai giorni residui
alert visivo di rollover imminente
👉 Mantieni sempre aggiornati contratti e data di scadenza per avere una lettura affidabile della curva futures e anticipare correttamente le fasi di rollover.
EMA Based TMA Bands [NeuraAlgo]EMA Based TMA Bands
Overview
EMA Based TMA Bands is a volatility-adaptive trend and reversal indicator that combines a Triangular Moving Average (TMA) with EMA-weighted smoothing and dynamic deviation bands. It is designed to identify trend direction, overextended price conditions, and potential reversal points with high visual clarity.
The indicator plots a central TMA line along with three upper and three lower volatility bands, automatically adapting to market conditions.
Core Concepts
1. Triangular Moving Average (TMA)
The TMA is calculated using triangular weighting, giving more importance to central bars.
This creates a smoother and more stable average compared to SMA or EMA.
The TMA acts as the main equilibrium price level.
2. EMA-Weighted Enhancement
An additional EMA-style weighting is applied using a custom coefficient.
This allows fine-tuning between smoothness and responsiveness.
Lower coefficient = smoother behavior
Higher coefficient = faster reaction to price changes
Volatility Bands
The bands are calculated using a weighted variance model:
Positive and negative deviations are tracked separately.
This allows asymmetric volatility response in bullish and bearish conditions.
Band Structure
Inner Band – Primary deviation
Middle Band – 1.15× deviation
● Outer Band – 1.30× deviation
These bands help identify:
● Overbought and oversold zones
● Volatility expansion and contraction
● Mean reversion opportunities
Trend Detection
Trend direction is determined by the slope of the TMA, normalized by ATR.
● Bullish Trend: TMA slope rising beyond threshold
● Bearish Trend: TMA slope falling beyond threshold
● Flat Market: No significant slope
The TMA line automatically changes color based on trend state.
Trading Signals
Buy Signal
A buy signal is triggered when:
● Price previously closes below the lower band
● A bullish candle forms on the current bar
● Suggests rejection of lower volatility zone
Sell Signal
A sell signal is triggered when:
● Price previously closes above the upper band
● A bearish candle forms on the current bar
● Suggests rejection of upper volatility zone
Signals are displayed as small triangle markers on the chart.
Inputs
Main Settings
● TMA Period: Length of the triangular moving average
● EMA Period: Length of EMA-weighted smoothing
● EMA Coefficient: Controls EMA influence
● Band Deviation: Controls band width
● Price Source: Input price (default: HLC3)
● Trend Threshold: Sensitivity of trend detection
Art Settings
● Bullish Color: Color used for bullish bands and signals
● Bearish Color: Color used for bearish bands and signals
Best Use Cases
● Trend continuation trading
● Mean reversion strategies
● Volatility expansion setups
● Support and resistance visualization
Notes
● Best used on intraday to swing timeframes
● Works well with price action confirmation
● Not a repainting indicator, but smoothing introduces natural lag
Developed by NeuraAlgo
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems// DISCLAIMER:
// This script is for educational purposes only. It is not financial advice.
// Past performance does not guarantee future results.
// Use this tool at your own risk.
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems
Overview
This is a plug-and-play scalping system designed specifically for the EUR/USD 5-Minute chart . Created by Scalper Pro Systems , it simplifies intraday trading by automatically generating Buy/Sell signals with precise Take Profit and Stop Loss levels.
How It Works
The strategy uses a "Safety First" approach to find stable entries:
1. Trend Filter (EMA 200): Ensures you only trade with the main trend (Buy only if price is above; Sell only if price is below).
2. Entry Trigger (EMA 9 & 21): Identifies short-term momentum shifts.
3. Noise Filter (RSI): Prevents entering trades when momentum is weak or exhausted.
Main Features
🟢🔴 Clear Signals: Draws Green (Buy) and Red (Sell) boxes directly on the chart.
📉📈 Auto TP & SL: Instantly calculates your Stop Loss (based on recent swing lows/highs) and Take Profit (1.5x risk) and displays the exact price numbers.
⏱️ Live Tracking: The system tracks the trade for you and marks exactly when and where the Target or Stop Loss was hit.
📊 Dashboard: Shows Signal Time, Entry Price, TP, and SL in a clean information box.
Best Settings
Timeframe: 5 Minutes
Asset: EUR/USD (Can also be used on Gold/XAUUSD or Indices)
Session: Best used during London or New York sessions.
Risk Warning
Trading involves risk. This tool helps visualize a strategy but does not guarantee profits. Always manage your risk.
Serhan deneme 2Sadece deneme için yapılan bir çalışma, geliştirdikçe paylaşacağm, lütfen fazla dikkate almayınız.
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Smart Money Concepts 2026🔘 The Smart Money Concepts (SMC) 2026 indicator is an institutional-grade trading tool built to give traders a measurable edge by automating key SMC price-action events and highlighting high-probability areas of interest. Alerts using TradingView built-in alerts system. Strength ranking to highlight stronger zones. Market structure mark-up. OB/FVG/BB detection. NRP algo, all zones do not repaint.
🩶 Smart Money Concepts (SMC) 2026
🗂️ User Guide & Trading Protocol
1.0 🧾 Executive Overview
◼️ This protocol explains the indicator’s features, how to read its data, and how to apply it inside a structured, confluence-based trading plan.
▫️ The system is engineered to de-clutter charts, focus attention on high-conviction zones, and support disciplined execution.
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2.0 ⚙️ Core Feature Compendium
🩶 The indicator integrates advanced components for a complete SMC market view.
⚙️ Feature 📌 Description
Market Structure ||| Plots BOS + CHOCH to define trend and potential reversals. ||| ✅ ON
Order Blocks (OB) ||| Detects bullish/bearish OBs showing institutional supply/demand zones. ||| ✅ ON
Fair Value Gaps (FVG) ||| Flags imbalances price often revisits to rebalance (key entry areas). ||| ✅ ON
Breaker Blocks (BB) ||| Finds failed/mitigated OBs that break and become strong reversal zones. ||| ⛔ OFF
Premium & Discount ||| Draws Premium (sell) / Discount (buy) from latest major swing range. ||| ✅ ON
Liquidity Zones ||| Marks EQH/EQL where stop liquidity is likely to rest. ||| ✅ ON
Strength Rating (0–10) ||| Scores each OB/FVG by momentum, size, and session context for quality filtering. ||| ✅ ON
Integrated Alerts ||| Native alerts when new OB/FVG forms so you don’t miss setups. ||| ✅ ON
BTCUSD with Smart Money Concepts 2026
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3.0 🧭 Zone Information Panel
🔍 Every OB and FVG zone includes an info panel for fast decision-making.
🧩 Data Point ||| 📌 Meaning / How to Use It
Type ||| Identifies zone type (e.g., Bullish OB, Bearish FVG).
Strength ||| Proprietary 0–10 score. ◾ Primary quality filter: > 6.5 preferred.
Session ||| Session where the zone formed: Asian / London / New York (London/NY often stronger).
Age ||| Bars since creation. Older unmitigated zones can still react strongly.
Distance ||| Current price distance from zone midpoint in pips/points (proximity context).
Pips/Points ||| Total height of the zone. Tighter zones can improve R:R efficiency.
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4.0 🛡️ Trading Methodology & Protocol
🩶 The edge is not trading every zone. The edge is:
◻️ Select high-strength zones → treat as AOIs → demand confirmation → execute with discipline.
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4.1 🎯 High-Probability Reversal Strategy
1) 🧩 Identify the Area of Interest (AOI)
🔘 Scan for Order Blocks / Fair Value Gaps with:
◼️ Strength ≥ 6.5 (quality threshold)
▫️ Add conviction by location:
• Short bias: AOI in Premium
• Long bias: AOI in Discount
TSLA with Smart Money Concepts 2026
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2) ⏱️ Wait for Price to Test the Zone
🔘 Let price trade into the high-strength OB/FVG.
◻️ Do not front-run entries.
🧷 Alerts ||| Set an alert for price entering the zone so you’re ready for execution.
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3) 🧠 Seek Confirmation for Entry Most Critical Step
🔍 Confirmation reduces failure risk. On a lower timeframe (e.g., zone on 1H → confirm on 5m/15m), look for one or more:
📍 Confirmation Type ||| What You Want To See
Market Structure Shift ||| LTF CHOCH against the move into the zone.
Momentum Divergence ||| RSI/MACD divergence (LL in price + HL in oscillator for longs; inverse for shorts).
Engulfing Candle ||| Strong bullish/bearish engulfing showing decisive rejection.
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4) 📐 Trade Execution Rules
🔘 Execute only after confirmation prints.
🧾 Rule ||| Execution Standard
Entry ||| After a clear confirmation signal closes.
Stop Loss ||| Just beyond the distal end of the zone.
Bearish OB/FVG SL ||| Place SL above the zone high.
Bullish OB/FVG SL ||| Place SL below the zone low.
Take Profit ||| Target logical liquidity: opposing high/low, opposing OB/FVG, nearby EQH/EQL.
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Brent oil with Smart Money Concepts 2026
⬛🛠️ Key Features Overview
⚙️ Feature 📌 Description
Zone Strength Ranking ||| Each zone is dynamically scored from 1–10 based on its age and number of retests. Fresher, less-tested zones are stronger, helping prioritize high-impact levels.
Real-Time Distance ||| Each active zone’s info label shows the exact distance in pips from current price to the zone edge for quick risk/opportunity assessment.
Trading Session Tracking ||| Zones are tagged by formation session (Asian / London / New York) for added context—high-volume session zones often matter more.
Advanced ATR Filtering ||| Volatility-based filters control zone quality: set min/max zone height and optionally enforce a consistent zone height using ATR.
Minimum Zone Distance ||| Reduces clutter by requiring a minimum number of bars between new zones, ensuring zones are distinct and well-separated.
Built on Pine Script v6 ||| Uses the newest Pine Script version for better efficiency, reliability, and smoother handling of complex logic/drawings.
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5.0 ✅ Conclusion
🩶 The SMC 2026 indicator is most powerful when used as a structured decision framework, not a blind signal generator.
🔘 Its core value is systematically identifying + scoring high-probability institutional zones.
◼️ By following this protocol—prioritize Strength ≥ 6.5, align with Premium/Discount, and require confirmation—you elevate consistency, clarity, and execution discipline.
Price Levels v2 [TickDaddy]I added Major price levels to this indicator. you can set levels yourself but now showing actual price levels not levels in ticks or points. you can turn either levels options on or off.
Short-Term Cycle Investing Strategy This strategy use for short term cycle data use and useing phase accumilitain and distrubution and buy zone monthly weekly daily
EMA Gradient Band (Custom)Simple 10-20 ema crossover band. An EMA (Exponential Moving Average) crossover is a technical analysis trading signal that occurs when a fast-moving (short-term) EMA intersects with a slow-moving (long-term) EMA, signaling potential trend reversals or continuations. Common pairs include the 9/20, 10/20, or 50/200 EMA, with the shorter-term line crossing above (bullish) or below (bearish) the longer-term line
Donchian Channels (Closing Price)The original Donchian Channel uses the highs and lows to plot.
For this indicator, it's based on the closing price. Useful for those who want to identify a breakout that's based on the closing price.
Kaste HARSH [Pure]How it works:
Trend component: Measures the percentage distance between fast (12) and slow (26) EMAs
Momentum component: RSI centered at 50 (range -50 to +50)
Result: A smoothed line oscillating around zero—positive values indicate bullish momentum, negative values bearish
Reading the indicator:
Above zero: Uptrend dominance; line above orange signal = strong momentum
Below zero: Downtrend dominance; line below signal = weakening momentum
±20 dotted lines: Overbought/oversold thresholds (adjustable via background colors)
Best used for: Confirming trend direction and spotting momentum divergences without chart clutter. Pure price action alignment—no buy/sell arrows, just raw trend energy.
ICT + AVP + CHoCH (Smart Money)just tried to check concept of ict avp and choch for trading in various charts
Rishii's EMA Trend EngineThis indicator is a dual-EMA trend framework designed to improve intraday decision-making by filtering out sideways market noise and highlighting only meaningful trend participation.
It uses a fast and slow EMA to define trend direction, while applying an HLC3-based color logic to show whether price is respecting each EMA. Candles turn green or red only when both the trend alignment and price participation conditions are satisfied. Neutral candles can be shown in white to visually remove noise and make valid candles stand out.
Additional filters such as EMA slope detection and optional higher-timeframe bias help avoid false signals during ranging conditions. A background trend zone and first-candle markers after EMA crossover further improve clarity without cluttering the chart.
How it helps
Clearly shows when the market is trending vs sideways
Highlights only those candles where price is truly participating in the trend
Filters out most whipsaws caused by flat EMAs BITSTAMP:BTCUSD
Combines trend bias, momentum, and participation in one clean view
Caution
This is a trend-following tool, not a reversal indicator.
When EMAs are flat and candles turn white, avoid trading
Do not treat every green/red candle as an entry; wait for proper structure.
Always use proper stop-loss and position sizing.
Fair Value Interest Rate LadderDisplays the remaining interest rate relative to a specific expiration date. Compatible with both ascending and descending price trends (toggleable in Settings). The smooth decay visualization offers better clarity compared to standard daily horizontal levels.
Kaste Trend MA (Bullish/Bearish)This indicator plots a moving average on top of the price chart and changes its color based on market trend direction.
When the moving average is rising, it turns green to indicate a bullish market.
When the moving average is falling, it turns red to indicate a bearish market.
The trend is determined by the slope of the moving average, making it a simple and clear visual trend indicator.
Altangadas Megad //@version=5
indicator("VWAP/MVWAP/EMA Precise Final", overlay = true)
// --- 1. Signal Settings ---
vwapLength = input.int(1, title="VWAP Length", minval=1)
emaLength1 = input.int(7, title="Signal EMA 1 (7)", minval=1)
emaLength2 = input.int(25, title="Signal EMA 2 (25)", minval=1)
mvwapLength = input.int(21, title="MVWAP Length", minval=1)
// --- RSI Settings ---
rsiLength = input.int(14, title="RSI Length")
rsiLimit = input.int(70, title="RSI Filter Level")
// --- 2. Trend EMA Settings ---
ema50Length = input.int(50, title="Trend EMA 50")
ema100Length = input.int(100, title="Trend EMA 100")
ema200Length = input.int(200, title="Trend EMA 200")
ema800Length = input.int(800, title="Institutional EMA 800")
// --- Calculations ---
vwapValue = ta.vwap(hlc3)
cvwap = ta.ema(vwapValue, vwapLength)
mvwap = ta.ema(vwapValue, mvwapLength)
rsiValue = ta.rsi(close, rsiLength)
ema1 = ta.ema(close, emaLength1)
ema2 = ta.ema(close, emaLength2)
ema50 = ta.ema(close, ema50Length)
ema100 = ta.ema(close, ema100Length)
ema200 = ta.ema(close, ema200Length)
ema800 = ta.ema(close, ema800Length)
// --- Plotting Lines ---
plot(cvwap, color=color.blue, linewidth=2, title="VWAP", style=plot.style_linebr)
plot(mvwap, color=color.fuchsia, linewidth=2, title="MVWAP", style=plot.style_linebr)
plot(ema1, color=color.new(color.yellow, 50), title="EMA 7")
plot(ema2, color=color.new(color.orange, 50), title="EMA 25")
plot(ema50, color=color.green, linewidth=1, title="EMA 50")
plot(ema100, color=color.blue, linewidth=1, title="EMA 100")
plot(ema200, color=color.gray, linewidth=2, title="EMA 200")
plot(ema800, color=color.yellow, linewidth=4, title="EMA 800")
// --- Signal Logic (Анхны огтлолцол дээр нэг удаа сигнал өгөх) ---
// LONG: EMA болон VWAP бүгд MVWAP-аас дээш гарахад
longCond = (ema1 > mvwap) and (ema2 > mvwap) and (cvwap > mvwap)
// SHORT: EMA болон VWAP бүгд MVWAP-аас доош ороход
shortCond = (ema1 < mvwap) and (ema2 < mvwap) and (cvwap < mvwap)
// Зөвхөн төлөв өөрчлөгдөх мөчийг барих
longTrigger = longCond and not longCond and (rsiValue < rsiLimit)
shortTrigger = shortCond and not shortCond and (rsiValue > (100 - rsiLimit))
// --- Tiny Signals ---
plotshape(longTrigger, title="L", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.tiny, text="L")
plotshape(shortTrigger, title="S", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny, text="S")
// --- Alerts ---
alertcondition(longTrigger, title="Long Alert", message="XAUUSD: LONG!")
alertcondition(shortTrigger, title="Short Alert", message="XAUUSD: SHORT!")
Bollinger Squeezes (All-in-One)This indicator is a faithful recreation of the popular Bollinger Squeeze studies found in the Sierra Chart platform. It bundles three specific calculation methods (Study IDs 221, 233, and 401) into a single, versatile script.
While standard Squeeze indicators on TradingView often use a generalized formula, this script strictly follows the logic documented by Sierra Chart to ensure the exact same visual and numerical output.
📊 Included Modes (Selectable via Settings)
You can switch between the following three modes in the settings menu without adding the indicator multiple times:
1. Squeeze 1 (Standard - SC ID 221)
The Classic Squeeze: This creates the histogram based on the Momentum of the price relative to the Moving Average.
Formula: It utilizes a Linear Regression of the difference between Price and the SMA to smooth the momentum histogram.
Visuals: 4-color histogram (Bright/Dark Green for rising/falling positive, Red/Dark Red for negative).
2. Squeeze 2 (Momentum - SC ID 233)
The Raw Momentum: This variation calculates momentum more directly.
Formula: It uses the raw difference (Price - SMA) without the Linear Regression smoothing found in ID 221.
Result: The histogram appears sharper and reacts faster to immediate price changes.
3. Squeeze 3 (Ratio - SC ID 401)
The Ratio View: Instead of price momentum, this mode visualizes the "Squeeze Intensity."
Formula: It calculates the ratio between the Bollinger Band width and the Keltner Channel width (BB Width / KC Width).
Visuals: A solid green histogram representing the ratio. The Squeeze Dots turn red when the ratio drops below the defined threshold (default 1.0), indicating that the Bollinger Bands are completely inside the Keltner Channels.
⚙️ Features & Settings
Mode Selection: Easily toggle between the three study types via a dropdown menu.
Squeeze Dots:
🔴 Red: Squeeze is ON (Low volatility, potential breakout incoming).
🟢 Green: Squeeze is OFF (Volatility expanded).
Full Customization:
Length (Standard: 20)
Bollinger Band Multiplier (Standard: 2.0)
Keltner Channel Multiplier (Standard: 2.0)
True Range Option: Toggle between True Range (ATR) or High-Low for Keltner Channels.
💡 How to use
Add the script to your chart. Open the settings to choose your preferred calculation method. If you want to replicate the "stacked" view often seen in Sierra Chart (showing all three at once), simply add this indicator to your chart three times and set each one to a different mode.
Disclaimer: This script is an independent replication intended for educational and analytical purposes to bridge the gap between Sierra Chart and TradingView.
Sierra Chart, best trading software, EVER!
With the best datafeet. Denali Exchange Data Feed.
