Bitcoin Power-Law, Halvings & Wyckoff Model (Macro 1W/1M)An advanced Bitcoin macro analysis tool on weekly (1W) and monthly (1M) time frames. The script automatically maps global BTC cycles by combining the Power-Law mathematical model, Halving cyclicality, and precise institutional market geometry according to Richard Wyckoff's methodology.
How does the indicator work? (Key Pillars)
1. Bitcoin Power-Law Model
The script calculates the time elapsed since the birth of the Bitcoin network (the so-called Genesis Block – January 3, 2009). Based on a logarithmic scale, it marks four fixed long-term trend lines:
- Blue Line (Fair Value): Shows Bitcoin's mathematical fair value, around which the market has been fluctuating for over a decade.
- Purple Line (Medium-Term Ceiling): Marks historical market overheating zones and bull market bubble peaks.
- Green Line (Price Floor): Key macro support level, marking the ultimate market bottom during the greatest capitulation.
- Red Line: A safety band running deep below the chart, constituting the ultimate boundary of the uptrend.
2. Halving Cycles (Halving Counter)
The indicator automatically locates past and future miner reward events on the timeline (including the upcoming Halving in April 2028). It plots vertical orange dashed lines with labels on the chart, allowing you to instantly assess which phase of the 4-year cycle the price is currently in.
3. Wyckoff Pattern Detection Macro (Post-Fact Drawing)
This indicator operates in a highly secure and conservative manner. It doesn't guess patterns in real time to avoid false signals during trends. Instead, it scans the market for flat consolidations (sideways ranges) only in extreme regions:
- Accumulation (Bear Bottoms): Searched only when the price is deep below the central axis (in the area of the green line).
- Distribution (Bull Tops): Searched only when the price is high above the central axis (in the area of the 2024-2025 highs).
Trigger Moment: When the market is building a sideways trend and the price officially crosses the 10-period moving average (SMA 10) (an upside breakout for accumulation or a downside breakdown for distribution), the algorithm validates the structure. In this split second, the script moves back on the chart for the designated period and plots the complete Wyckoff Anatomy using the spread: It draws automatic, horizontal support and resistance lines of the trading range (Trading Range).
It sets vertical black lines dividing the structure into official market sub-phases. It marks precise turning points:
- institutional capital: PS/PSY (Initial Support/Resistance),
- SC/BC (Selling/Buying Climax),
- AR (Automatic Rebound),
- ST (Secondary Test),
- Spring/UTAD (Clearing Liquidity Lows/Highs),
- LPS/LPSY (Last Support/Resistance Points)
- and PHASE E – the moment of releasing a new, powerful macro trend.
User Manual Interval:
The indicator was designed and calibrated exclusively for high time frames: 1 Week (1W) or 1 Month (1M).
Logarithmic Scale: In order for the Power-Law lines and labels to perfectly match the Bitcoin price chart and not "float" when scrolling the screen, you must have the logarithmic scale enabled on the PulseWire chart (click the Log button in the lower right corner of the screen).
Application: The tool is used to identify global turning points (wealth generation) – it allows you to buy Bitcoin in Phase E of macro accumulation and safely implement profits as Phase E distribution heralds the arrival of a bear market. Indicator
COT-Trader Seasonality - Indexed Geometric PathCOT-Trader Seasonality is a visual research indicator designed to study seasonal tendencies in futures, commodities, indices and other markets.
The script focuses on one specific question:
How has a market typically behaved throughout the calendar year when historical years are compared on a normalized basis?
Instead of averaging raw historical prices, the indicator indexes each historical year to a base value of 100 at the first available trading day of that year. This makes different years comparable across changing price regimes.
This is especially useful for markets such as commodities and futures, where long-term price levels can change significantly over time.
Methodology
The indicator uses an Indexed Geometric Seasonal Path approach:
1. Each historical year is indexed to 100 at its first available trading day.
2. Each following trading day is converted into a relative factor versus that year’s starting value.
3. For each calendar day, the geometric mean of the indexed historical factors is calculated.
4. The resulting seasonal curves are plotted on a synthetic January-to-December seasonal scale.
The geometric approach is used because price development is multiplicative. A 10% gain followed by a 10% loss does not return a market to its original level. Working with relative factors is therefore more appropriate than directly averaging absolute historical prices.
Displayed Curves
The indicator can display:
• 10Y Main Seasonal Curve
• 5Y Seasonal Curve
• 15Y Seasonal Curve
• 20Y Seasonal Curve
• Current Year / YTD indexed path
• Previous Year indexed path
• Synthetic seasonal month scale
The 10Y curve is the main reference curve. The 5Y, 15Y and 20Y curves are included as comparison views to help evaluate whether shorter-term seasonal tendencies differ from longer-term historical behavior.
The current year line stops at the latest available data point. It is not extended into the future.
How to Use
This indicator can be used to:
• compare the current year against historical seasonal tendencies
• identify periods where several seasonal curves move in a similar direction
• compare shorter-term and longer-term seasonal behavior
• study whether the current year is behaving normally or as an outlier
• support broader market research together with positioning, fundamentals, volatility and risk analysis
The month labels shown in the indicator are a synthetic seasonal month scale. They are not the same as the chart’s real time axis.
What This Indicator Does Not Do
This script does not generate buy or sell signals.
It does not predict future prices.
It does not automatically identify the best seasonal trading window.
It does not include stop-loss, take-profit, position sizing or strategy backtesting logic.
It is intended as a visual research tool, not as a standalone trading system.
Limitations
Seasonality describes historical tendencies, not certainties. Markets can deviate significantly from historical seasonal patterns due to macroeconomic conditions, weather, supply-demand shocks, positioning, volatility, futures contract rolls or other market-specific factors.
For futures and continuous contracts, historical data quality and roll methodology can influence the visual result.
The indicator should be used as one part of a broader analytical process.
Initial public release.
Features:
• Indexed geometric seasonal path calculation
• Fixed 10Y main seasonal curve
• 5Y, 15Y and 20Y comparison curves
• Current year / YTD indexed path
• Previous year indexed path
• Synthetic January-to-December seasonal month scale
• Built-in legend and methodology table
This indicator is designed for visual seasonal research and does not generate trading signals. Indicator
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Stock: Snowflake Analysis [invincible3]Stock: Snowflake Analysis
Stock: Snowflake Analysis is a visual fundamental-analysis radar indicator designed for stock traders and investors who want a quick, structured view of a company’s financial quality. The indicator converts multiple PulseWire financial metrics into normalized 0–100 scores and displays them as a six-axis snowflake/radar chart directly on the price chart.
The purpose of the indicator is to help users quickly evaluate a stock from several key perspectives: dividend quality, growth, inventory efficiency, financial stability, valuation, and future outlook. Each metric is transformed into a score, then plotted visually so the user can immediately see where a company is strong or weak. The current script uses six core categories: Dividend, Growth, Inventory, Stability, Valuation, and Future, and it draws the final score as a radar/snowflake polygon.
Main Concept
The indicator works by pulling available stock financial data from PulseWire using request.financial(). These values are then normalized into scores from 0 to 100.
A score near 100 means the company is strong in that category.
A score near 50 means the company is neutral or average.
A score near 0 means the company is weak in that category.
The final snowflake shape gives a quick visual overview:
A large, balanced snowflake suggests broad financial strength.
A small or uneven snowflake suggests weakness or imbalance.
A stretched shape shows that the company is strong in some areas but weak in others.
Six Core Financial Categories
1. Dividend Score
The Dividend axis evaluates whether the stock provides attractive and sustainable shareholder distributions.
It uses:
Dividend yield
Dividend payout ratio
The dividend yield is scored positively when it is higher, while the payout ratio is scored negatively if it becomes too high. A very high payout ratio may suggest that the dividend is less sustainable.
A strong Dividend score usually means the company has a decent yield without excessive payout pressure.
2. Growth Score
The Growth axis measures how well the company is expanding.
It uses:
Revenue growth
EPS growth
Gross margin
The score rewards companies with improving sales, stronger earnings, and healthier gross margins. A company with strong revenue growth but weak margins may receive a mixed score, while a company with both growth and profitability receives a stronger score.
This category is especially useful for identifying companies with improving business momentum.
3. Inventory Score
The Inventory axis evaluates operating efficiency, especially for businesses where inventory management matters.
It uses:
Inventory turnover
Inventory-to-revenue ratio
Higher inventory turnover is considered positive because it suggests that the company sells its inventory efficiently. A lower inventory-to-revenue ratio is also considered positive because it indicates that inventory is not becoming too heavy relative to sales.
This score is more useful for retail, manufacturing, consumer goods, and industrial companies. It is less meaningful for banks, software companies, or service businesses.
4. Stability Score
The Stability axis measures balance-sheet strength.
It uses:
Current ratio
Debt-to-equity ratio
A higher current ratio generally suggests better short-term liquidity, while a lower debt-to-equity ratio suggests lower financial leverage.
A strong Stability score means the company appears financially safer and less dependent on debt. A weak score may suggest liquidity pressure or excessive leverage.
5. Valuation Score
The Valuation axis evaluates whether the stock appears reasonably priced relative to earnings.
It uses:
Earnings yield
Price-to-earnings ratio
Earnings yield is calculated as:
Earnings Yield = EPS / Price × 100
A higher earnings yield is better. A lower P/E ratio is also better, up to a reasonable threshold. This category rewards companies that generate meaningful earnings relative to their current share price.
A high Valuation score may suggest the stock is cheaper relative to earnings, while a low score may suggest the stock is expensive or earnings are weak.
6. Future Score
The Future axis attempts to measure forward-looking quality.
It uses:
Sustainable growth rate
Forward P/E ratio
A higher sustainable growth rate improves the score, while a very high forward P/E lowers the score. This category tries to balance future growth potential with future valuation risk.
A strong Future score suggests the stock may have a reasonable combination of expected growth and forward valuation.
Final Score
The center score is calculated as the average of the six category scores:
Final Score = Average of Dividend, Growth, Inventory, Stability, Valuation, and Future
This final score is displayed in the center of the radar chart.
The score color changes dynamically using the indicator’s heatmap color theme:
Low scores appear in purple tones.
Mid scores appear in teal tones.
High scores appear in green/yellow tones.
This makes it easier to visually identify weak, neutral, and strong readings.
Visual Design
The indicator displays a clean snowflake/radar chart directly on the price chart. Each axis represents one financial category.
Visual components include:
Hexagonal grid rings
Axis lines
Category labels
Score markers
Filled snowflake polygon
Dynamic color based on total score
Optional historical comparison snowflake
The snowflake is placed to the right side of the latest bar using the Right Offset setting, so it does not cover the current candles.
Historical Comparison
The indicator includes an optional Historical Snowflake feature.
When enabled, it compares the current snowflake with a previous score profile based on the selected historical lookback.
For example:
Historical Lookback = 252 bars
This can be used as an approximate one-year comparison on daily charts.
The historical snowflake helps users see whether the company’s fundamental profile has improved, weakened, or remained stable over time.
Stock-Only Protection
This indicator is designed for stock symbols only because financial metrics such as dividend yield, payout ratio, EPS, revenue growth, and debt-to-equity are stock/company-specific data.
For non-stock symbols such as:
Gold
Forex pairs
Crypto
Indices
Commodities
the script does not draw the snowflake. Instead, it displays a warning message explaining that financial metrics are not available for those instruments.
This prevents misleading neutral scores from appearing on symbols where company financial data does not exist.
Input Settings
Radar Layout
Right Offset Bars
Moves the snowflake to the right side of the latest candle.
Scale Lookback
Controls the price range used to vertically scale the snowflake on the chart. This does not affect the financial scores.
Width
Controls the horizontal size of the radar.
Height %
Controls the vertical size of the radar relative to the recent price range.
Label Distance
Controls how far the category labels are placed from the radar center.
Visual Styling
Show Grid Rings
Turns the hexagonal background rings on or off.
Show Axis Lines
Turns the center-to-axis guide lines on or off.
Show Axis Labels
Shows or hides the category names and scores.
Show Score Markers
Shows or hides circular markers at each snowflake point.
Dynamic Colors
When enabled, the snowflake color changes based on the total average score.
Marker Size
Controls the size of the score markers.
Historical Comparison
Show Historical Snowflake
Displays a previous score profile for comparison.
Historical Lookback Bars
Defines how far back the comparison should be calculated.
How to Interpret the Snowflake
A strong stock usually shows:
A broad and balanced snowflake
High Growth and Stability scores
Reasonable Valuation score
Improving Future score
A risky or weak stock may show:
A compressed snowflake
Very low Stability
Weak Growth
Expensive Valuation
Poor Future score
An unbalanced company may show a stretched snowflake. For example, a high Growth score but low Stability and Valuation scores may indicate a fast-growing but financially risky or expensive company.
Best Use Cases
This indicator is useful for:
Quick stock screening
Comparing companies visually
Identifying financial strengths and weaknesses
Monitoring changes in a company’s financial profile
Combining fundamentals with technical analysis
Long-term investing and swing-trading research
It is especially helpful when comparing stocks within the same sector.
Important Notes
The indicator uses a generic scoring model. Different sectors naturally have different financial structures.
For example:
Banks do not use inventory metrics in the same way as retail companies.
Utilities often carry higher debt.
Technology companies may have low dividend scores but strong growth.
Retail and manufacturing companies rely more heavily on inventory efficiency.
Because of this, the scores should be interpreted with sector context.
Limitations
This indicator should not be used as a standalone buy or sell signal.
Financial data can be delayed, unavailable, or inconsistent depending on the symbol and exchange. When a financial metric is missing, the script uses a neutral internal fallback value to keep the radar visually stable.
The indicator is best used as a summary and comparison tool, not as a complete valuation model.
Disclaimer
Snowflake Analysis is an educational and research tool. It is not financial advice. Users should always combine this indicator with their own analysis, sector research, risk management, and broader market context before making trading or investment decisions. Indicator
Range BAR Scalper (100R/1000R)Range Scalper — Adaptive S/R Zones
A visualization tool built specifically for range charts (100R/1000R).
🔹 Adaptive S/R zones with automatic pivot detection
🔹 M / R / RSI signals with neon-style markers
🔹 Dashboard showing active levels and last break
🔹 Status panel: trend, bar run, RSI, and last signal (with bars-ago count)
The visual style of the signal markers is inspired by Dynamic RSI Regression Bands by Zeiierman, and the adaptive S/R zone concept draws from Adaptive S/R Zones by BigBeluga. Both originals are licensed under CC BY-NC-SA 4.0; this tool follows the same license and is for non-commercial use only.
⚠️ This is a visualization/educational tool, not financial advice. Signals are not a guarantee of results — test it yourself before any real use.Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial, investment, or trading advice, and nothing in it constitutes a recommendation to buy, sell, or hold any instrument.
Trading and investing carry substantial risk of loss. Past performance — including any signals, levels, or visuals shown by this tool — does not guarantee future results. The signals are not predictions and may produce false or losing setups.
You are solely responsible for your own trading decisions. The author accepts no liability for any losses, damages, or other consequences arising from the use of this tool. Always do your own research and consider consulting a licensed financial professional before trading.
Licensed under CC BY-NC-SA 4.0 — non-commercial use only. Visual style adapted from work by Zeiierman and BigBeluga. Indicator
Macro Liquidity & Risk Regime Engine [bl4ckc0ff33]### Overview
**Macro Liquidity & Risk Regime Engine** is an open-source overlay dashboard that answers one question before every swing trade: **does the market environment permit the setup?**
It aggregates cross-asset liquidity signals—yields, credit spreads, volatility structure, index trends, and sector rotation—into a single **24-point regime score** with a clear permission call: from **RISK-ON / swing longs permitted** to **RISK-OFF / protect capital**.
Apply it to **any ticker**. The Relative Strength module updates automatically when you change symbol.
---
### 5 Macro Layers
**Layer 1 · Rates**
- US 10Y & 2Y yields, 10Y−2Y curve, DXY
- Flags yield danger zones and curve steepening
**Layer 2 · Credit**
- HYG price, HYG vs 21 EMA, HYG/LQD ratio
- Detects early and confirmed credit stress
**Layer 3 · Volatility**
- S&P 500 VIX (TVC:VIX) and VIX/VXV term structure
- Monitors risk-off levels and backwardation
**Layer 4 · Index Trend**
- SPY, QQQ, IWM, semis (SMH) vs 21 EMA
- Growth leadership and broad trend health
**Layer 5 · Breadth & Rotation**
- XLK trend, XLK/XLV rotation, XLV bid
- Defensive rotation and tech leadership
---
### Regime Score (0–24)
- **20–24 · RISK-ON** — Swing longs permitted
- **14–19 · CAUTION** — Small size, high RS only
- **8–13 · DE-RISK** — No new longs, trim weak names
- **0–7 · RISK-OFF** — Cash only, protect capital
---
### Relative Strength Module
Compares the **chart symbol** vs **SPY** and **QQQ** over your chosen lookback (default 5 days).
- **LEADER** — outperforming both benchmarks
- **MIXED** — split vs SPY/QQQ
- **LAGGARD** — lagging both — avoid pure index beta
---
### AI Analysis Layer
Contextual notes per layer plus a master verdict:
- When to press with normal size
- When to halve size and trade leaders only
- When to stand aside or go to cash
Toggle off in settings if you prefer data only.
---
### 3 Dashboard Layouts
- **Compact** (~9 rows) — laptop-friendly, default
- **Mid** (~17 rows) — dense summary + full AI comments
- **Full** (~42 rows) — every metric expanded
Adjust position, text size, RS, and AI visibility in **Display** settings.
---
### Built-in Alerts
- 10Y yield breach
- VIX risk-off trigger
- VIX/VXV backwardation
- SPY / QQQ / SMH below 21 EMA
- Credit stress (HYG/LQD ratio)
- Regime shift to **RISK-ON** or **RISK-OFF**
---
### How to Use
1. Add to any chart (index layout or individual stock).
2. Check the regime bar and total score before sizing a breakout or EP.
3. On stock charts, use **RS** to confirm the name is a true leader—not fighting macro headwinds.
4. Use **Mid** or **Full** layout for the full AI breakdown; **Compact** for a quick glance.
**Workflow tip:** Treat a red regime as a hard filter. Even elite chart patterns fail at high rates when index correlation dominates.
---
### Technical Notes
- **Pine Script v6** — open source
- **No repainting** — all `request.security()` calls use `gaps=barmerge.gaps_off` and `lookahead=barmerge.lookahead_off`
- **Performance** — table and AI text render on `barstate.islast` only
- **Requires PulseWire Pro+** (multi-symbol requests)
---
### Disclaimer
Educational tool only. Not financial advice. Past macro regimes do not guarantee future outcomes. Always manage risk independently.
---
*Designed by bl4ckc0ff33*
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Smart Trend Strategy | julzALGO📘 Summary
Smart Trend Strategy | julzALGO is a trend-following strategy that combines adaptive trend analysis with market structure confirmation. The strategy uses a dual-stage smoothing engine to identify trend shifts while validating entries through Break of Structure (BOS) and Change of Character (CHoCH) events.
To improve adaptability across different market conditions, the strategy includes independent Risk:Reward settings for long and short positions, allowing bullish and bearish trades to be managed separately.
The result is a complete trend and structure-based trading system with automated entries, stop losses, take profits, visual trade management, and strategy backtesting.
📘 Features
✅ Adaptive Trend Detection
✅ Trend Flip Identification
✅ Bullish & Bearish Market Structure Analysis
✅ Break of Structure (BOS)
✅ Change of Character (CHoCH)
✅ Close or Wick Break Confirmation
✅ Trend & Structure Synchronization Engine
✅ Independent Long and Short Risk:Reward Targets
✅ Structure-Based Stop Loss
✅ ATR-Based Stop Loss
✅ Percentage-Based Stop Loss
✅ Automatic ATR Fallback Protection
✅ Dynamic Entry, Stop Loss & Take Profit Visualization
✅ Risk Zone Highlighting
✅ Target Projection Zones
✅ Position Management Dashboard
✅ Long & Short Trading Modes
✅ Opposite Signal Exit Logic
✅ Configurable Backtest Window
✅ Built-In Alerts
📘 Logic
🔷 Trend Engine
The strategy continuously evaluates price direction using an adaptive smoothing process designed to reduce market noise while maintaining responsiveness.
Bullish Trend
* Trend direction turns positive.
* Long setups become eligible.
Bearish Trend
* Trend direction turns negative.
* Short setups become eligible.
🔷 Market Structure Engine
The strategy monitors swing highs and swing lows to identify structural shifts.
Bullish Structure Signals
• Bull BOS
• Bull CHoCH
Bearish Structure Signals
• Bear BOS
• Bear CHoCH
These events help confirm whether momentum and structure are aligned with the current trend.
🔷 Trend & Structure Synchronization
A trade is only allowed when both:
• Trend Direction
and
• Market Structure Confirmation
occur within the user-defined synchronization window.
This reduces isolated signals and improves trade quality.
🔷 Split Risk:Reward System
Long and short trades can use separate profit targets.
Example:
Long Trades
* Risk:Reward = 1:2
Short Trades
* Risk:Reward = 1:1
This allows traders to adapt to directional market bias and optimize strategy performance.
🔷 Stop Loss Models
The strategy supports three stop loss methods:
Structure Stop
* Uses recent swing structure.
ATR Stop
* Uses market volatility.
Percent Stop
* Uses fixed percentage distance.
ATR fallback protection can automatically replace invalid structure stops.
🔷 Trade Management
Each active trade displays:
• Entry Price
• Stop Loss
• Take Profit
• Risk Zone
• Target Zone
• Active Risk:Reward
This provides complete visual trade management directly on the chart.
🔷 Dashboard
The built-in dashboard displays:
• Current Trend Direction
• BOS / CHoCH Status
• Entry Confirmation Mode
• Synchronization Setting
• Stop Loss Method
• Active Risk
• Active Risk:Reward
• Position Status
• Backtest Window Status
📘 Usage
🔷 Bullish Setup
1. Trend flips bullish.
2. Bull BOS or Bull CHoCH confirms.
3. Long signal appears.
4. Stop loss and target are calculated automatically.
5. Trade remains active until TP or SL is reached.
🔷 Bearish Setup
1. Trend flips bearish.
2. Bear BOS or Bear CHoCH confirms.
3. Short signal appears.
4. Stop loss and target are calculated automatically.
5. Trade remains active until TP or SL is reached.
Suggested Configuration
Long Risk:Reward
* 1:2
Short Risk:Reward
* 1:1
This configuration may be beneficial in markets with stronger bullish tendencies.
📘 Settings
🔷 Trend Engine
Source — Price source used for calculations.
ER Length — Controls adaptive sensitivity.
Fast Length — Fast smoothing component.
Slow Length — Slow smoothing component.
Process Noise — Trend responsiveness control.
Measurement Noise — Trend smoothing control.
🔷 BOS / CHoCH Confirmation
Structure Pivot Length — Swing sensitivity.
Break Confirmation — Close or Wick confirmation.
Entry Confirmation — BOS, CHoCH, or combined logic.
Sync Bars — Maximum distance between trend and structure confirmation.
Show Structure Lines — Display BOS/CHoCH levels.
Show Structure Marks — Display structure markers.
🔷 Split RR
Stop Loss Type — Structure, ATR, or Percent.
Long Risk:Reward — Profit target for long trades.
Short Risk:Reward — Profit target for short trades.
ATR Length — ATR calculation period.
ATR Multiplier — ATR stop distance.
Percent Stop — Fixed stop distance.
Structure Buffer — Additional stop padding.
ATR Fallback Protection — Uses ATR when structure stop becomes invalid.
🔷 Strategy
Allow Long — Enable long positions.
Allow Short — Enable short positions.
Close On Opposite Signal — Automatically closes opposite trades.
Backtest Window — Restricts historical testing period.
Backtest Days — Number of days included in testing.
🔷 Display
Show Signals — Displays entry markers.
Show RR Levels — Displays trade levels.
RR Label Offset — Label positioning distance.
TP Box Padding — Target zone size.
Show Dashboard — Enables dashboard.
Color Bars — Trend-colored candles.
📘 Disclaimer
This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always perform independent testing and apply proper risk management before using any strategy in live market conditions.
Strategy
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Institutional Early Entry OB SignalsThis script is an early institutional order block signal indicator for PulseWire. It is designed mainly for short intraday timeframes like 1-minute, 3-minute, and 5-minute, especially for instruments such as Nifty and Bank Nifty.
The main purpose is to find a possible institutional entry area before a full move starts, then show:
EARLY BUY / EARLY SELL setup
BUY / SELL confirmed entry
Stop-loss level
Target level
Exit signal
How The Script Works
First, the script checks for a break of structure.
A bullish break of structure happens when price closes above the recent high. A bearish break of structure happens when price closes below the recent low. This helps identify where momentum may be shifting.
After a structure break, the script marks a possible order block.
For a bullish setup, it finds the last bearish candle before the bullish breakout. That candle becomes the bullish order block zone.
For a bearish setup, it finds the last bullish candle before the bearish breakdown. That candle becomes the bearish order block zone.
The script then waits for price to come back and retest that order block area. This retest is treated as a possible institutional entry zone.
Early Signal
The script gives an EARLY BUY or EARLY SELL when price enters the order block area and the basic confirmations are already supporting the trade.
This is meant to warn you before the final confirmed signal appears.
EARLY BUY = price enters bullish order block + EMA trend supports buy + RSI supports buy + volume confirms
EARLY SELL = price enters bearish order block + EMA trend supports sell + RSI supports sell + volume confirms
Confirmed Entry Signal
The script gives a confirmed BUY or SELL only after price shows rejection from the order block.
For buy trades, price should show bullish rejection by closing green or closing above the order block midpoint.
For sell trades, price should show bearish rejection by closing red or closing below the order block midpoint.
So the confirmed signal uses:
Order block retest
EMA trend direction
RSI momentum
Volume confirmation
Optional Stochastic confirmation
Rejection candle confirmation
MA Confirmation
The script uses two EMAs:
Fast EMA
Slow EMA
In Aggressive Mode, price only needs to be above the fast EMA for buy or below the fast EMA for sell.
In Balanced Mode, the fast EMA must also be above the slow EMA for buy, or below the slow EMA for sell.
In Conservative Mode, the EMA trend must be aligned, and the fast EMA must also be sloping in the trade direction.
RSI Confirmation
RSI is used to confirm momentum.
For buy trades:
RSI must be above the Buy Level
For sell trades:
RSI must be below the Sell Level
For intraday Nifty / Bank Nifty, the script uses flexible levels like:
Buy above 48
Sell below 52
This helps catch earlier entries instead of waiting for RSI to fully cross 50.
Volume Confirmation
Volume is used to confirm participation.
The script compares current volume with the average volume.
Example:
Current volume > Volume MA x Volume Multiplier
If volume is stronger than normal, the signal is considered more valid.
For 1-minute and 3-minute trading, a low multiplier like 1.0 to 1.05 helps avoid missing too many trades.
Stochastic Confirmation
Stochastic is optional.
By default, it is better to keep it OFF for 1-minute and 3-minute charts because it can delay signals and cause missed opportunities.
If turned ON, it adds one more momentum confirmation.
Stop Loss
For a buy trade, stop loss is placed below the bullish order block with an ATR buffer.
For a sell trade, stop loss is placed above the bearish order block with an ATR buffer.
This gives the trade some breathing room based on market volatility.
Target
The target is calculated using your selected risk-reward ratio.
Example:
Risk Reward: 2.0
If your stop loss risk is 20 points, target will be 40 points.
For Bank Nifty, you can test:
Risk Reward: 2.0 or 2.5
Exit Signal
The script shows an EXIT signal when either:
Target is reached
or
Stop loss is reached
Best Use
This indicator is best used when the market has direction and momentum. It works better during active intraday sessions, especially after a breakout and pullback.
It may give weaker signals during sideways or low-volume markets.
In simple words: this script tries to find where institutions may have entered after a structure break, waits for price to return to that area, checks trend, momentum and volume, then gives early and confirmed buy/sell signals with stop loss and target.
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Session Lines & Kill ZonesOptimized for Inner Circle Trader (ICT) and Smart Money Concepts (SMC) traders, this indicator automatically highlights critical intraday market sessions and algorithmic "Kill Zones" directly on your chart.
Unlike standard session clocks that clutter your screens, this script features custom-engineered vertical transition lines and pixel-perfect background shading designed **never** to warp or break your chart's price scale.
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🔑 Key Features
🌐 True GMT-Based Calculations: Zero reliance on your local broker time. Input your desired GMT offset to seamlessly align your sessions regardless of your data feed.
🕒 Comprehensive Kill Zone Coverage: Includes pre-configured, industry-standard tracking for:
Asian Session / Kill Zone
London Open Kill Zone
New York Open Kill Zone
London / New York Overlap (Silver Bullet/Macro windows)
⚙️ Fully Customizable Extra Session: An independent, fully editable custom session block tailored for tracking specific local market opens, equity hours, or personal macro periods.
📅 Daily Start Line Indicator: Clean, unobtrusive vertical separators marking the exact start of each new trading day.
📐 Clean Scaling Technology: Custom written using localized bar anchors. Your price scale remains 100% accurate, allowing you to compress, expand, and read price action smoothly without squeezed candles.
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🎨 Visual & Control Settings
* **Timeframe Filtering:** Keep your higher timeframes clean! Set an automatic upper boundary rule (e.g., only show on 1-hour timeframes or lower) to auto-hide the sessions when zooming out to daily or weekly macro views.
* **Toggleable Labels & Borders:** Fully customize your aesthetic. Individually toggle background shading, outer boundary line styles (Solid, Dashed, Dotted), and session floating labels to match your chart's theme.
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🚀 How to Use It
1. Judicious Multi-accounting: Use the background clouds to identify when liquidity is building up (Asian Range) and when algorithmic manipulation typically occurs (London/NY Sweeps).
2. Time-of-Day Execution: Ensure your setups align with high-volatility session boundaries marked clearly by the vertical transition lines.
Built entirely on the latest Pine Script v6 architecture for peak execution speed and cross-device display stability. Indicator
Mr Balwants Liquidity LevelsMinimalist Liquidity Levels
A clean and lightweight liquidity indicator designed to display important Daily, Weekly, and Monthly high/low levels directly on the chart.
The indicator automatically plots:
• Previous Day High (PDH)
• Previous Day Low (PDL)
• Current Day High (CDH)
• Current Day Low (CDL)
• Previous Week High (PWH)
• Previous Week Low (PWL)
• Current Week High (CWH)
• Current Week Low (CWL)
• Previous Month High (PMH)
• Previous Month Low (PML)
• Current Month High (CMH)
• Current Month Low (CML)
Features:
• Minimalist design
• Clean horizontal ray levels
• No labels or chart clutter
• Daily, Weekly, and Monthly liquidity references
• Works across all markets and timeframes
• Lightweight and fast
This indicator helps traders identify potential liquidity pools, support and resistance zones, and important market structure reference levels while maintaining a clean chart environment.
Ideal for:
• Price Action Traders
• ICT Traders
• Smart Money Concept (SMC) Traders
• Swing Traders
• Intraday Traders
Tags:
Liquidity, PDH, PDL, PWH, PWL, PMH, PML, Market Structure, Support Resistance, ICT, SMC, Price Action Indicator
Indicator
Indicator
RSI Neural EngineRSI Neural Engine — a real neural network that learns your chart, live
Most "AI" indicators are a glorified moving average with a buzzword bolted on. This isn't that.
The RSI Neural Engine is an actual neural network — forward pass, backpropagation, Adam optimizer, softmax output — training itself on your chart in real time. Open the source and you'll see the real thing: weight matrices, gradients, a live learning loop. No fake "AI," no hidden lookup table, no hardcoded rules wearing a lab coat.
It watches the market, makes a prediction, sees what price actually did, measures its own error, and rewires thousands of internal weights to do better next time. Every single bar. On your chart. In front of you.
Then it paints what it learned directly onto your candles. Green = the network is convinced up. Red = convinced down. Faded = it's unsure, so you stand aside. The stronger the conviction, the bolder the color. One glance tells you which side the model is on.
Why it's different
A plain RSI panics at every overbought reading and fades every rally. This network sees more. It's fed RSI in six dimensions — value, slope, acceleration, fast/slow spread, percentile, and volatility — plus real market context: a higher-timeframe RSI, trend strength, and where price sits in the trend. Its hidden layer learns the combinations. It can tell the difference between "overbought and topping" and "overbought because this is a monster trend — stay long." That's the leap a normal indicator can't make.
And it's honest
Built right into the panel: a live dashboard showing the network's up/neutral/down probabilities, its conviction, how much it's learned, which inputs it's actually leaning on, and its real, out-of-sample accuracy. It's a glass box. You watch it think — and you watch it prove itself.
How to use it
Add it to any chart. Any market, any timeframe.
Let it warm up. It starts from zero and learns from scratch — give it a few hundred bars. Candles stay uncolored until it's ready.
Set the Forecast Horizon to match how you trade. This is the one knob that matters most. Low = quick scalps. Higher = swings. Turn the dial until the colors match the moves you actually take. (Most people land around 10–14.)
Read the candles. Green = bullish regime. Red = bearish. Neutral = sit on your hands. Use it as a filter for your own entries and risk.
Glance at the dashboard. If Live Accuracy holds above the baseline, the network is finding real structure. If it doesn't, the model is telling you the truth — and that honesty is the whole point.
The settings that matter
Forecast Horizon — what the network aims at. Match it to your holding time. (start here)
Move Threshold (×ATR) — how big a move counts as real vs. noise. Higher = fewer, cleaner color changes.
Neutral Zone — how decisive the coloring is. Raise it to silence chop.
Higher Timeframe — the swing-context feed. Set it above your chart timeframe.
Hidden Units / Learning Rate / Epochs — full control of the network itself, if you like to tinker.
Reading the panel
Conviction line — the network's signed confidence; neutral-gray near the middle, saturating green or red as it commits.
Neutral-zone shading — the gray band mirrors exactly where candles stay uncolored.
Dashboard — live probabilities, conviction, sample count, input influence, and out-of-sample accuracy.
Just FYI: This is a serious, transparent machine-learning tool — not a crystal ball. RSI is built from price, so no model can conjure certainty the data doesn't hold. Judge it by the Live Accuracy readout, test it across several symbols and timeframes, and treat it as decision support, not a guarantee. This is not financial advice. Indicator
Indicator
Smart Money ScalpSmart Money Scalp (CHoCH + Dynamic Fibonacci)
Technical Summary:
Smart Money Scalp is a high-fidelity market structure engine engineered for traders who demand precision in both high-frequency scalping and structural swing trading. The indicator utilizes advanced fractal pivot logic to identify Character Change (CHoCH) events—the earliest signal of a trend reversal—and automatically projects institutional Fibonacci retracement zones.
Timeframe Versatility:
While specifically optimized for ultra-fast execution on Lower Timeframes (1m, 5m, 15m), the script's core structural algorithms are equally robust for Higher Timeframes (1H, 4H). This makes it a versatile powerhouse for both aggressive intra-day scalpers and disciplined structural swing traders who seek to capitalize on institutional order flow.
Key Features:
Automated Structural Analysis: Real-time identification of Market Structure Shifts (MSS/CHoCH) based on customizable fractal lengths.
Institutional Golden Zones: Automatically highlights the 0.382 - 0.618 (Optimal Entry Zone) and the 1.382 - 1.618 (Expansion/TP Zone) using dynamic, bar-synced projections.
Dynamic Visual Scaling: Fibonacci levels and boxes expand in real-time with price action, providing a live roadmap of market dynamics.
Smart Noise Reduction: Historical text labels are automatically purged upon new setup generation to maintain a professional, clutter-free charting environment.
Confluence Filters: Optional Volume Weighted Confirmation and a Multi-algorithm Trend Filter (SMA, EMA, VWMA, etc.) are integrated to filter out low-probability liquidity traps.
Pro Alert Integration: Dedicated alerts for "CHoCH Formation" and "Entry Zone Infiltration," allowing for hands-off monitoring.
Trading Protocol:
Detection: Monitor for a CHoCH break confirming a shift in market character.
Confluence: (Optional) Ensure the break is supported by the Hacim (Volume) and Trend filters.
Execution: Identify entry triggers within the blue "ENTRY ZONE".
Distribution: Target the green "TP ZONE" for profit taking during price expansion.
Disclaimer:
Trading financial instruments involves high risk. This tool is intended for analytical and educational purposes. Always prioritize capital preservation and utilize strict risk management protocols. LuxAlgo does not guarantee financial results. Indicator
Indicator
Lucky NewsLucky News
Never get caught off guard by high-impact news again.
LUCKY NEWS is a minimal, no-clutter news tracker that lives right on your chart. Built for traders who check Forex Factory every morning — just enter your red folder events for the day, toggle them on, and a clean table shows exactly what's coming and when. No lines on your chart, no noise, just the information you need.
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What It Does
- **8 customizable event slots** — enter currency, event name, and time for each red news release
- **Clean table display** — shows CUR | EVENT | TIME in a sleek dark overlay anywhere on your chart
- **Zero chart clutter** — table only, nothing drawn on your candles or price action
- **Stays visible all day** — events don't disappear or fade after they pass
- **Works in your timezone** — times use your chart's timezone setting automatically
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How To Use
1. Check (www.forexfactory.com) each morning for red folder (high impact) events
2. Open Settings → enable each event slot and fill in the hour, minute, currency, and event name
3. Toggle unused slots off
4. The table updates instantly on your chart — no refresh needed
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Example Setup
| CUR | EVENT | TIME |
|-----|-------|------|
| USD | FOMC | 11:00 |
| USD | CPI | 08:30 |
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Why I Built This
As a futures scalper I need to know exactly when red news hits so I can stay out or be ready. I wanted something dead simple — no automation, no APIs, just a fast manual input that keeps my news front and center while I trade.
*Stay informed. Trade prepared. Stay lucky.*
— LuckyJo Indicator
Lucky Risk CalculatorLucky Risk Calculator
Know your risk before you pull the trigger — every single time.
Lucky Risk Calculator is a clean, no-nonsense risk management tool built for futures traders. Whether you're trading MNQ, NQ, MES, ES, or any other futures contract, it automatically detects the point value of your instrument and gives you instant dollar risk and profit targets right on your chart — no spreadsheets, no mental math mid-trade.
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What It Does
Enter your stop distance and number of contracts, and the table instantly shows you:
- **Dollar risk** per contract and for your full position
- **Profit target distance** based on your R:R ratio
- **Dollar profit** at target per contract and full position
- **Auto point value detection** — works on any futures symbol without manual setup
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How To Use
1. Set your **Stop Distance** (in points) based on where your stop loss is placed
2. Set your **Contracts** — risk and profit scale automatically
3. Set your **R:R Target** — the calculator shows exactly what hitting that target is worth in dollars
4. Move the table to wherever it fits best on your chart
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Works With
MNQ · NQ · MES · ES · MYM · YM · M2K · RTY — and any other futures contract on PulseWire. Point values are pulled automatically from the symbol, so you never have to touch a setting when switching instruments.
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Why I Built This
As a futures scalper, I needed to know my exact dollar risk the moment I defined my stop — not after the trade. This tool keeps risk front and center so you trade with discipline, not guesses.
*Trade smart. Manage risk. Stay lucky.*
— LuckyJo Indicator
