BskLAB - Signals Assistant 🧠 BSKLab Signal Assistant™ – Modular Framework for Visual Technical Analysis
BSKLab Signal Assistant™ is a modular and adaptive trading toolkit built for discretionary traders who want to combine multiple layers of technical confluence into their chart analysis.
Rather than being a traditional indicator or mashup of public tools, this script is structured around a dual-mode architecture — allowing users to switch between two core signal-generation methodologies:
Swing Mode for potential reversal detection
Following Mode for trend-following analysis
Each mode integrates custom-coded components, designed to help traders visualize market conditions, identify potential turning points, and confirm trends through calculated filters — without guaranteeing entries or exits.
🔁 Mode 1: Swing (Reversal-Based Analysis)
Swing Mode is designed to detect areas where price may be overextended and at risk of reversal. This is achieved using a custom-built Zone Style system based on a Triangular Moving Average (TMA) and ATR-based band width adjustment. The goal is to identify dynamic support and resistance areas that adjust in real time based on recent volatility.
Key Components in Swing Mode:
TMA Zone + ATR: Acts as an adaptive reversal zone. The TMA provides smoothed structure, while the ATR adjusts the zone width according to recent volatility, helping avoid flat/static zones in fast-moving markets.
Bollinger Bands: Used to detect price extremes. Price breaking beyond upper/lower bands in combination with zone behavior suggests possible exhaustion.
Custom SuperTrend: Added as a momentum filter. Only if SuperTrend flips in the direction of the move will the script consider the movement meaningful — filtering out noise and false reversals.
🟢 A bullish setup may occur when price closes below the lower zone and Bollinger Band, then rebounds with SuperTrend flipping upward.
🔴 A bearish setup may occur when price breaks above the upper zone, then turns down while SuperTrend flips bearish.
This mode is most effective during ranging markets or after impulsive moves.
📈 Mode 2: Following (Trend-Filtering Framework)
Following Mode focuses on confirming and aligning with dominant market trends. At the core of this system is BSKLab Cloud, a custom trend engine inspired by Ichimoku logic but modified to use ATR-weighted zones and trend-level strictness scoring.
Key Components in Following Mode:
BSKLab Cloud: Provides real-time trend confirmation with three adjustable strictness levels (Lv1–Lv3). This allows users to choose whether to be more sensitive or conservative in their trend validation.
Bollinger Bands: Help identify trend pullbacks. Price retesting the midline or outer zone can offer visual cues for entry areas within a trending structure.
Custom SuperTrend (optional): Can be used to confirm trend continuation using ATR-based trailing logic.
🟢 In bullish trends, entry conditions may involve price staying above the cloud and breaking above a BB midline.
🔴 In bearish trends, price should remain below the cloud with breakdowns below BB support zones.
This setup works best in trending environments and is designed to help avoid premature reversals.
🧩 Core Components Overview
TMA Zone + ATR – Adaptive reversal zone calculation combining smoothed TMA and real-time volatility width from ATR
Bollinger Bands – Measures statistical deviation from price mean to highlight OB/OS conditions
SuperTrend (Custom) – ATR-based momentum filter for directional confirmation
BSKLab Cloud – Modified trend filter inspired by Ichimoku, with trend-level scoring and strictness levels
📌 How It Works (In Summary)
The BSKLab Signal Assistant does not generate automatic buy/sell calls. Instead, it visually presents dynamic zones, volatility ranges, and trend conditions to assist in manual analysis and discretionary decision-making.
Users are encouraged to:
Use each mode according to market type (ranging vs trending)
Look for confluence between zone interaction, BB behavior, and trend alignment
Combine this with other chart reading techniques or systems
📍 RISK DISCLAIMER
Trading involves significant risk and is not suitable for everyone. All tools, scripts, and educational materials provided by BSKLab are for informational and educational purposes only. We do not offer financial advice.
Past performance does not guarantee future results. Always trade responsibly
📍 CONCLUSION
At BSKLab, we believe that consistent trading success doesn't come from indicators alone — it comes from the trader’s ability to apply them with context, discipline, and understanding. Tools are only as powerful as the hands they’re in.
The goal of the BSKLab Signal Assistant is not to provide magic signals, but to empower traders with a clean, adaptive, and intelligent framework that helps identify high-probability opportunities while filtering out the noise.
Whether you’re a beginner or experienced trader, this tool is designed to support real decisions in real markets — not just theory.
You can request access below to join the BSKLab system and unlock our full trading suite.
指標和策略
Jurik Moving Average🧠 Jurik Moving Average (JMA) — Ultra-Smooth Adaptive Trend Filter
This indicator implements a precise non-repainting recreation of the Jurik Moving Average (JMA) — a high-performance smoothing algorithm known for its ability to reduce lag while preserving rapid response to price changes. It is ideal for traders seeking a responsive yet stable line for trend detection, dynamic support/resistance, or signal generation.
⚙️ Core Functionality
At its heart, this indicator replicates the JMA logic as described in the original Jurik documentation, including:
✅ Adaptive smoothing based on price volatility.
✅ Variable phase shifting for forward/backward displacement.
✅ Power curve smoothing for dynamic control over responsiveness vs. smoothness.
✅ Volatility-aware band generation (optional).
The core algorithm uses a Kalman-style recursive filter with dynamic coefficients, adjusting to market conditions in real-time. Unlike traditional MAs (EMA, WMA, etc.), this implementation uses:
A volatility-normalized momentum engine to track price deviation (Kv factor).
A recursive double-smoothing mechanism for noise suppression without lag.
📈 Inputs
Length: Controls the base smoothing period.
Phase Shift: Moves the curve forward or backward in time (−100 to +100), for signal anticipation or lag removal.
Smoothing Power: Adjusts the sensitivity to price changes. Higher = smoother, lower = faster reaction.
Source: Any input (close, hl2, etc.) to apply the filter on.
Bands (optional): Dynamically generated adaptive envelopes based on real-time volatility.
🎯 How to Use
Use the JMA line as a trend-following tool or dynamic support/resistance.
Apply crossovers with price or other indicators for entries/exits.
Enable the bands to observe overbought/oversold zones or potential breakout areas.
Adjust phase to suit leading (anticipatory) or lagging (confirmation) strategies.
This tool is particularly suitable for:
Scalpers looking for precision in fast markets.
Swing traders filtering noise from signals.
Algorithmic systems needing high-fidelity moving averages.
لعلي بابا على ساعة Moving averages indicator for the 10 and 20 averages, relative strength index, and Bollinger Bands Moving averages indicator for the 10 and 20 averages, relative strength index, and Bollinger Bands
استراتيجية محسنة: تقليل الخسائر، إدارة ذكية//@version=5
strategy("استراتيجية محسنة: تقليل الخسائر، إدارة ذكية", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// الإعدادات
emaFastLen = input.int(20, title="EMA سريع")
emaSlowLen = input.int(50, title="EMA بطيء")
atrLength = input.int(14, title="طول ATR")
riskMultiplier = input.float(1.0, title="نسبة المخاطرة من ATR", step=0.1)
takeProfitRatio = input.float(1.5, title="نسبة الهدف الربحي إلى وقف الخسارة", step=0.1)
maxConsecutiveLosses = input.int(2, title="عدد الخسائر المتتالية المسموح بها")
// حساب المتوسطات والاتجاه
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
atr = ta.atr(atrLength)
longCondition = ta.crossover(emaFast, emaSlow)
shortCondition = ta.crossunder(emaFast, emaSlow)
// متابعة الخسائر المتتالية
var int lossCount = 0
if strategy.closedtrades > 0
lastTrade = strategy.closedtrades - 1
isLoss = strategy.closedtrades.profit(lastTrade) < 0
lossCount := isLoss ? lossCount + 1 : 0
canTrade = lossCount <= maxConsecutiveLosses
// الدخول في صفقات شراء فقط (بناء على طلب المستخدم)
if longCondition and canTrade
stopLoss = close - (atr * riskMultiplier)
takeProfit = close + ((close - stopLoss) * takeProfitRatio)
strategy.entry("Buy", strategy.long)
strategy.exit("TP/SL", from_entry="Buy", stop=stopLoss, limit=takeProfit)
// تفعيل trailing stop عند الربح
trailTrigger = input.float(0.5, title="نقطة تفعيل Trailing (%)", step=0.1) / 100
trailOffset = input.float(0.3, title="مسافة Trailing Stop (%)", step=0.1) / 100
if strategy.opentrades > 0
entryPrice = strategy.opentrades.entry_price(0)
if close > entryPrice * (1 + trailTrigger)
trailStop = close * (1 - trailOffset)
strategy.exit("Trail Exit", from_entry="Buy", stop=trailStop)
plot(emaFast, color=color.green, title="EMA سريع")
plot(emaSlow, color=color.red, title="EMA بطيء")
FAFA - Optimize v2FAFA - Optimize v2 Strategy
FAFA - Optimize v2 is a dynamic trading strategy that operates using Inverse Fisher RSI signals derived from a higher timeframe. By applying the inverse Fisher transform to the RSI indicator, it generates clearer and faster signals. The strategy can execute buy, sell, or both types of trades based on user preferences.
From a risk management perspective, the strategy features three-tiered take profit levels (TP1, TP2, TP3) and a flexible stop loss (SL) mechanism. This allows partial profits to be realized early while letting remaining positions benefit from larger market moves.
It also provides a handy performance panel that tracks essential metrics in real-time, including total trades, winning and losing trades, trades closed by stop loss, win rate, and net profit/loss.
In summary, FAFA - Optimize v2 aims to open reliable market positions with advanced risk controls to ensure sustainable performance.
Makki MultiEdge Analyzer 2000This script combines Bollinger Band interactions, RSI momentum confirmation, EMA crossovers, and divergence detection to generate filtered BUY signals. It uses 5-minute and 15-minute timeframe logic to improve timing and reduce false entries.
### 🔹 BUY signal logic:
A BUY label will only appear when:
• Price is near the lower Bollinger Band
• RSI shows a rebound or is climbing from oversold zones
• There is a strong bullish candle, a golden cross (EMA), or a positive divergence
• AND no overbought/exit filter is active
### 💎 Entry filter (diamond):
Appears when a clean bounce is detected on the 5-minute chart.
This is **not a BUY** but a preparation signal — useful to monitor for an upcoming opportunity.
### ⛔ Exit filter:
Triggers when 15m RSI is overbought (>68), price touches the 15m upper Bollinger Band, and 5m momentum weakens.
Blocks BUY signals and helps avoid entries during overextended moves.
### 🔺/🔻 Mild Support/Resistance markers:
- **🔺 Green upward triangle:** appears when RSI rebound or mild support conditions exist, but not enough for a BUY
- **🔻 Red downward triangle:** appears when bearish momentum, EMA crossdown, overbought RSI, or negative divergence is detected
### ❌ RSI Warnings:
- **Orange X above the bar:** RSI > 75 (overbought warning)
- **Orange X below the bar:** RSI < 25 (oversold warning)
### 🧠 Usage recommendation:
- Wait for a 💎 as early preparation
- Enter only if a BUY signal follows with no ⛔ warning present
- Avoid BUYs that appear after ⛔ or during RSI > 75 (orange X) unless very strong reversal confirmation exists
- 🔺 triangles can help monitor early support but are not sufficient alone
### 🕒 Timeframe:
- Best used on 5-minute chart
- Filtering logic pulls RSI and Bollinger data from 5m and 15m timeframes
- Higher timeframes (15m–1H) can be used for overall trend direction
All alerts are included for: BUY, entry filter (💎), exit warning (⛔), RSI warnings (❌), and support/resistance markers (🔺/🔻).
This script is for educational purposes only and does not constitute financial advice.
Directional ADX with Dynamic ThresholdThis indicator displays the ADX line, color-coded with a green line indicating a bullish DMI and a red line indicating a bearish DMI. The line turns grey when there is no trend. The trend threshold is determined by ATR. Settings are adjustable. Nothing earth-shattering but this has helped me quite a bit in my trading.
Ichimoku Cloud MAThis chart has a combination of the Ichimoku cloud and Moving Average. This is solely for education and I am not responsible for any losses to users' investments.
Webull-style VWAPThis is a clean, simple VWAP (Volume Weighted Average Price) indicator designed to resemble the VWAP line displayed on the Webull trading platform.
🔷 Includes all trading sessions (regular and extended hours) when enabled on your chart.
🔷 Resets daily at the start of each session.
🔷 Does not include any bands or deviations — just the core VWAP line for clarity.
🔷 Plots directly on your price candles for easy reference.
Perfect for intraday traders who rely on VWAP as a key dynamic support/resistance level and want a TradingView experience closer to Webull’s default implementation.
HeatVOLFirst and foremost, credit goes to xdecow and his great work in the Heatmap Volume indicator. I copied it to make some changes that I wanted (mainly being able to color the volume bars and candlesticks independently).
Overview:
HeatVOL uses statistical analysis to instantly identify significant volume anomalies. By calculating Z-scores (standard deviations from the moving average), it creates a visual heatmap that highlights unusual market activity in real-time. Both candlesticks and volume bars are color-coded based on customizable thresholds, making volume surges immediately visible.
🎨 Visual Heatmap System
- Color-coded candlesticks and volume bars based on volume intensity
- Five threshold levels: Extra High (4σ), High (2.5σ), Medium (1σ), Normal (-0.5σ), and Low
- Multiple display modes: backgrounds, lines, or both
- Customizable colors for all threshold levels
🔔 Smart Alerts
- Set alerts for any threshold level
- Separate alerts for up/down volume bars
- Monitor unusual volume activity across multiple instruments
Use Cases:
- Identify institutional activity and large player participation
- Spot potential breakouts or reversals with volume confirmation
- Monitor volume climax and exhaustion patterns
- Analyze volume trends across different timeframes
Anderberg SignalsThis indicator is designed to provide clear and visual buy and sell signals based on RSI reversals, with a focus on identifying when buyers or sellers re-enter the market after extended moves. It works on all markets (stocks, crypto, forex) and is optimized for both day trading and swing trading.
How the Indicator Works (Concepts and Logic)
The indicator is built on the Relative Strength Index (RSI), one of the most widely used tools for measuring momentum and overbought/oversold market conditions.
When RSI reaches certain key levels (signaling potential exhaustion), the script begins monitoring price reactions and the return of buying or selling pressure. It’s not simply reacting to RSI crossing below 30 or above 70; instead, it looks for signs that price action is shifting – indicating a potential reversal.
This approach helps filter out many of the false signals that often occur with standard RSI setups, especially in trending markets.
Signal Display
Green signal on the chart = Buy: RSI has been in oversold territory, and buyers are starting to take control again.
Red signal = Sell: RSI has been overbought, and sellers begin stepping back in.
Signals are plotted directly on the chart for easy visual recognition.
Can be used as entry or exit signals depending on your strategy.
Usage & Strategy
Timeframes: Works on all timeframes – from 5-minute scalping to 1D/1W swing setups.
Markets: Suitable for all markets, including stocks, crypto, commodities, and forex.
Strategy: Ideal for traders who prefer reversals or momentum shifts near key support/resistance levels.
UltraTrend Pro - Phoenix Engine EditionUltraTrend Pro – Phoenix Engine Edition
Overview
This is a technical analysis tool designed to help identify the current market trend and provide context on the market's "personality." It is built around a proprietary Phoenix Engine that analyzes price action to classify the market into distinct regimes—such as strong trends, weak trends, or choppy conditions—and then adapts its core algorithm accordingly.
Technical Features
The indicator is built on these main ideas:
1. The Phoenix Engine (Market Regime Classification):
Instead of using a one-size-fits-all approach, the Phoenix Engine constantly analyzes price volatility, strength, and stability to classify the current market into one of several regimes:
* Strong Trend (Up/Down): Clear, high-momentum directional movement.
* Medium/Weak Trend (Up/Down): Developing or fading directional movement.
* Ranging: Sideways price action with low volatility.
* Volatile: Large price swings but with no clear direction.
* Choppy: Unpredictable, messy price action to be cautious of.
This classification is displayed in real-time in the on-screen "Market Regime Display."
2. AI-Style Adaptive Trend Algorithm:
When "AI-Style Adaptation" is enabled, the core trend-following algorithm automatically adjusts its own internal parameters (Sensitivity and Period) based on the regime detected by the Phoenix Engine.
* In strong trends, it becomes less sensitive to ride the trend longer.
* In choppy or volatile markets, it becomes more conservative to help filter out noise.
This allows the indicator to dynamically adapt its behavior to the ever-changing personality of the market.
3. Adaptive Fibonacci TP/SL System:
The indicator's Take Profit (TP) and Stop Loss (SL) levels can operate in two modes:
* Standard Mode: Uses fixed Risk-Reward ratios set by the user.
* Adaptive Mode: This is the AI-style feature. It analyzes the historical success rate of signals within the current market regime to calculate and display:
* Adjusted TP/SL Levels: Levels are automatically widened or tightened based on what has historically worked best in that specific regime (e.g., wider TPs in strong trends, tighter TPs in ranging markets).
* Success Probabilities: An estimated probability (%) of reaching each TP level is shown on the chart.
* Expected Duration: An estimated time-to-target (in bars) is displayed for each TP, helping with trade management expectations.
4. Built-in Backtest & Data Analysis Engine:
To power the adaptive system, the indicator includes a powerful backtest engine that scans historical signals. It can operate in two modes:
* Deep Historical Scan: Analyzes thousands of past candles to build a robust statistical baseline.
* Recent Signals Only: Focuses only on the most recent signals within each regime, allowing the system to adapt more quickly to changing market character.
The results are displayed in a comprehensive on-screen "Backtest Statistics Table."
5. Multi-Layered Filtering System:
To qualify signals, the indicator allows for additional filters, including:
* Dual Moving Averages: Ensure signals align with a broader market trend (e.g., above the 200 SMA).
* Trading Session Filter: Restricts signals to specific user-defined trading hours.
How to Use This Indicator
1. Use the Feature Control Panel: The settings menu has been simplified. The top sections allow you to quickly toggle major visual components on or off to customize your chart.
2. Enable AI-Style Adaptation (Recommended): For the indicator to use the Phoenix Engine to its full potential, ensure "Enable AI-Style Adaptation" is checked.
3. Observe the Market Regime Display: This on-screen table is your guide to the current market's personality. It tells you the detected regime, its strength, and how the indicator is adapting.
4. Watch for Signals: A "BUY" or "SELL" signal indicates that the trend algorithm has detected a potential shift in direction.
5. Assess Adaptive TP/SL Levels: When a signal appears, observe the on-chart TP levels. The displayed probabilities and expected durations provide valuable context for managing the trade. For example, a high-probability TP1 with a short duration might be a good scalping target.
6. Use Tables for Deeper Insight: The "Backtest Statistics Table" provides a detailed breakdown of how signals have historically performed in each market regime, helping you decide which setups to trust more.
Intended Use & Limitations
* Recommended Assets: Designed for use on all assets. The Phoenix Engine's adaptive nature allows it to adjust to different market types automatically.
* Timeframes: Can be used on all timeframes.
Limitations:
* This is a tool to support analysis. It does not generate automatic buy or sell advice.
* The indicator is not a standalone strategy and does not guarantee results. Users are responsible for their own trading decisions.
* Probabilities and statistics are based on historical data and do not predict future results.
* Always use this tool in combination with your own analysis and a robust risk management plan.
We believe that no indicator is a magic solution. Technical analysis tools provide value through their convenience, adaptability, and unique logic. Combining these elements can help a trader make more educated and planned decisions, hopefully contributing to their overall success.
Highlight Candles Between Times (with Timezone Offset)Indicator to highlight specific candles in order to clearly show ORB breakout candles etc
Keltner BandWidthThis script measures the bandwidth of Keltner Channels using the same formula as is typical for Bollinger Bandwidth - (Upper band - Lower Band)/Basis where basis is the 20 period moving average. In the case of Keltner Channels, the basis uses the exponential moving average and a 10-period Average True Range as the multiplier. My use case for the indicator is to compare Bollinger Bandwidth to three different KC parameters (multipliers of 1x, 1.5x and 2x) for the identification of squeeze conditions used in the Simpler Trading Squeeze Pro indicator.
JD-MONEY 2 ENTRADAS/DIAJD-MONEY FIXED Strategy - For Intraday Trading
A simple and straightforward strategy, with clear rules and optimized parameters for intraday trading.
**Features:**
✅ **Two configurable trading times**
✅ **Defined risk management** (fixed stop and take)
✅ **Clear logic** for entries and exits
✅ No rebounds or pyramiding
Ideal for traders seeking a disciplined and straightforward approach.
*Configure the times according to your preference and let the strategy identify opportunities!*
*Note: Always trade with appropriate risk management. Past results do not guarantee future performance.*
CME_MINI:NQ1!
*Script by José Doroteu*
NY Liquidity Reversal - Debug Mode70 percent 1 rate strategy, no red folder news, trades from only 730 to noon, 20 EMA plus voluntarily breakout, 1 and one entry per direction per session per asset
Live ATR vs EOD ATR (Colored Histogram + Alerts)This indicator compares real-time intraday volatility against yesterday's established volatility (EOD ATR) – a powerful benchmark most tools ignore. It answers: "Is today's price action more volatile than yesterday's range?"
🔑 Core Innovations:
EOD ATR Benchmark
Uses yesterday's Daily ATR (calculated at market close) as a reference point.
Unlike standard ATR (which updates intraday), this anchors volatility to a fixed, objective daily value.
Live Intraday Range Tracking
Dynamically measures today’s high-low range as the session progresses.
Resets automatically at each new trading day.
Intuitive Color-Coded Histogram
Blue: <50% of yesterday’s ATR (low volatility).
Yellow: 50-75% (building momentum).
Orange: 75-99% (approaching high volatility).
Red: ≥100% (today’s range EXCEEDED yesterday’s volatility).
Smart Threshold Alerts
Triggers once-per-day alerts at key milestones:
50%: Early volatility expansion signal.
75%: Momentum warning.
100%: Critical breakout/breakdown threshold.
Resets alerts daily to avoid duplicates.
💡 Why Traders Love It:
Anticipate Breakouts: Spot accelerating volatility before price makes large moves.
Contextualize Volatility: Know if today’s action is "normal" vs. abnormal relative to the prior session.
Day Trading Edge: Gauge exhaustion (e.g., red histogram) or accumulation (blue histogram).
⚙️ Inputs:
ATR Period: Adjust sensitivity (default: 14).
📊 Features:
Visual Threshold Lines: 50% (dotted), 75% (dashed), 100% (solid red).
Alerts: Customizable notifications for volatility milestones.
Pro Tip: Combine with price action! A red histogram + breakout above today’s high = high-probability trend confirmation.
🎯 Free for use on TradingView – feedback welcomed!
⚠️ Disclaimer: For educational purposes only. Trade at your own risk.
JD-MONEY 2 ENTRADAS/DIAJD-MONEY FIXED Strategy - For Intraday Trading
A simple and straightforward strategy, with clear rules and optimized parameters for intraday trading.
**Features:**
✅ **Two configurable trading times**
✅ **Defined risk management** (fixed stop and take)
✅ **Clear logic** for entries and exits
✅ No rebounds or pyramiding
Ideal for traders seeking a disciplined and straightforward approach.
*Configure the times according to your preference and let the strategy identify opportunities!*
*Note: Always trade with appropriate risk management. Past results do not guarantee future performance.*
CME_MINI:NQ1!
*Script by José Doroteu*
Split Volume Histogram (Real Volume)v2 better volume indicator showing you exactly how much is buy or sell volume at the same time
DAO - Directional ATR OscillatorDAO - Directional ATR Oscillator. it combines trenddirection and strength by simply splitting the Average True Range in both directions over an oscilators zeroline with two MAs to make it easier to spot the overall trenddirection together with momentum and strength but it also works great for spotting divergences and possible trendreversals early. have fun with this everything indicator !
