อินดิเคเตอร์และกลยุทธ์
Fractal Levels Monitor w/ Trade Lines (ChadAnt) v2Small update. Prevents the break candle from getting another signal after the first buy/sell signal detected.
1. Fractal Level Detection
The indicator identifies Fractals, which are simply a series of bars where the center bar has the highest high (Bearish Fractal) or the lowest low (Bullish Fractal) compared to a set number of bars on either side (determined by the "Fractal Period" input, usually 2 to 5 bars).
Bullish Fractal Level (Support): The indicator plots a horizontal line at the lowest low of the most recently formed Bullish Fractal.
Bearish Fractal Level (Resistance): It plots a horizontal line at the highest high of the most recently formed Bearish Fractal.
2. The "Cross Candle" Event
The core idea isn't to trade the fractal itself, but the reaction after the fractal level is broken.
When the price breaks and closes through the established Bullish Level (support) or Bearish Level (resistance), that bar is marked as the Cross Candle.
This Cross Candle's High and Low are saved. This is the "setup" for the trade.
3. The Trade Signal (Entry Trigger)
A trade is only taken when the price breaks the extreme (High or Low) of the Cross Candle.
Buy Signal: The trade is entered long if the price breaks above the High of the Cross Candle.
Sell Signal: The trade is entered short if the price breaks below the Low of the Cross Candle.
Supply & Demand ZonesThis indicator detects high-probability supply and demand zones using a multi-step smart money concept approach:
Liquidity Sweep Detection: Identifies when price sweeps above a pivot high (supply setup) or below a pivot low (demand setup), capturing liquidity grabs by institutional traders.
Displacement Confirmation: Requires a strong displacement candle (measured by ATR and body percentage) or fair value gap (FVG/imbalance) in the opposite direction after the sweep.
Volume Confirmation: Optional filter ensures zones form only when volume exceeds the user-defined threshold, indicating institutional participation.
Smart Filtering: Built-in logic prevents overlapping zones, enforces minimum spacing between signals, and requires confirmation bars to eliminate false signals.
Zone Lifecycle Management: Zones are automatically removed when price closes through them with momentum. Breached zones can optionally "flip" to the opposite type when re-tested with strong displacement.
✨ Key Features
Clean Visual Display: Small "D" (Demand) and "S" (Supply) labels with shaded zone boxes
Non-Repainting: All signals use confirmed historical data—no lookahead or repainting
Volume Filter: Optional confirmation using volume spike detection
Zone Flip Logic: Breached demand zones can become supply (and vice versa) when violated
Overlap Prevention: Smart algorithm prevents clustered or duplicate zones
Confirmation Delay: Configurable wait period after sweep to confirm genuine setups
Customizable Inputs: Adjust pivot sensitivity, displacement thresholds, volume filters, and more
Alert Ready: Built-in alert conditions for new supply and demand zone formations
🎯 How to Add to Your Chart
Favorite the Indicator: Click the star icon to add this script to your favorites
Open Your Chart: Navigate to the asset and timeframe you want to trade (works best on 5m-1H intraday charts)
Add Indicator: Click "Indicators" at the top, search for "Supply & Demand Zones (Smart Filtered)", and add to chart
Customize Settings: Click the gear icon ⚙️ to adjust inputs based on your trading style and instrument volatility
Set Alerts: Right-click the indicator name → "Add alert" → Select "Supply Zone" or "Demand Zone" conditions
📖 How to Use
Demand Zones (Green "D" Labels):
Price swept below a swing low (liquidity grab)
Strong bullish displacement or imbalance followed
Trading Action: Look for LONG entries when price returns to the zone or on immediate continuation
Stop Loss: Place just below the zone or sweep low
Target: Next resistance level, supply zone, or risk-reward ratio target
Supply Zones (Red "S" Labels):
Price swept above a swing high (liquidity grab)
Strong bearish displacement or imbalance followed
Trading Action: Look for SHORT entries when price returns to the zone or on immediate continuation
Stop Loss: Place just above the zone or sweep high
Target: Next support level, demand zone, or risk-reward ratio target
Flipped Zones (Orange Labels):
Previous demand/supply zone was broken with strong momentum
Zone has flipped polarity and may now act as the opposite type
Trading Action: Exercise caution—wait for additional confirmation before trading flipped zones
🔍 What to Look For
High-Quality Setups:
Zone forms with above-average volume (check volume filter is enabled)
Clear liquidity sweep visible on the chart
Strong displacement candle with large body percentage
Zone aligns with overall market trend or key structure levels
Multiple timeframe confirmation (check higher timeframe for context)
Avoid These Setups:
Zones forming in choppy, low-volume conditions
Multiple overlapping zones in the same area (indicator filters these automatically)
Zones that appear immediately after news events (set confirmation bars higher)
Counter-trend zones without additional confluence
⚙️ Recommended Settings by Timeframe
5-Minute Charts (Scalping):
Pivot Lookback: 3/3
Min Displacement ATR: 0.9
Confirmation Bars: 1
Min Zone Spacing: 3-5 bars
Volume Threshold: 1.2x
15-Minute Charts (Intraday):
Pivot Lookback: 4/4 (default)
Min Displacement ATR: 1.0 (default)
Confirmation Bars: 2 (default)
Min Zone Spacing: 5-8 bars
Volume Threshold: 1.2x
1-Hour Charts (Swing Trading):
Pivot Lookback: 5/5
Min Displacement ATR: 1.2-1.5
Confirmation Bars: 3
Min Zone Spacing: 8-12 bars
Volume Threshold: 1.3x
💡 Trading Tips & Best Practices
Combine with Price Action: Use this indicator alongside candlestick patterns, support/resistance, and trendlines for confirmation
Multiple Timeframe Analysis: Check higher timeframes for overall bias and major zones
Volume is Key: Enable volume filter to focus on institutional-backed moves
Risk Management: Always use stop losses and proper position sizing
Backtesting: Test settings on your preferred instruments and timeframes before live trading
Context Matters: Consider market conditions, news events, and session times
Wait for Confirmation: Don't rush entries—wait for price reaction at the zone
⚠️ Important Disclaimers
Educational Purpose Only: This indicator is provided for educational and informational purposes. It does not constitute financial advice, investment recommendations, or trading signals.
No Guarantees: Past performance and backtested results do not guarantee future results. Trading involves substantial risk of loss.
Fractal Levels Monitor w/ Trade Lines (ChadAnt)1. Fractal Level Detection
The indicator identifies Fractals, which are simply a series of bars where the center bar has the highest high (Bearish Fractal) or the lowest low (Bullish Fractal) compared to a set number of bars on either side (determined by the "Fractal Period" input, usually 2 to 5 bars).
Bullish Fractal Level (Support): The indicator plots a horizontal line at the lowest low of the most recently formed Bullish Fractal.
Bearish Fractal Level (Resistance): It plots a horizontal line at the highest high of the most recently formed Bearish Fractal.
2. The "Cross Candle" Event
The core idea isn't to trade the fractal itself, but the reaction after the fractal level is broken.
When the price breaks and closes through the established Bullish Level (support) or Bearish Level (resistance), that bar is marked as the Cross Candle.
This Cross Candle's High and Low are saved. This is the "setup" for the trade.
3. The Trade Signal (Entry Trigger)
A trade is only taken when the price breaks the extreme (High or Low) of the Cross Candle.
Buy Signal: The trade is entered long if the price breaks above the High of the Cross Candle.
Sell Signal: The trade is entered short if the price breaks below the Low of the Cross Candle.
Kim Lisa – A+ Rejection System (EMA48/EMA200 + VWAP)This indicator identifies high-probability reversal setups based on strict rejection rules at three key dynamic levels: EMA 48, EMA 200, and VWAP.
It scans the 5-minute chart for strong bullish or bearish rejection candles (body entirely above/below the level with a dominant wick) combined with trend confirmation and a time-based filter.
Features:
• EMA 48 / EMA 200 / VWAP rejection signals
• Trend filter (price vs. EMA200 & VWAP)
• Touch detection of EMA/VWAP
• Rejection candle logic (strict body & wick conditions)
• Automatic Entry, Stop-Loss, and 1:2 Take-Profit levels
• Session filter (07:15–13:00 and 14:00–18:00 CET)
• Visual boxes, arrows, and alerts for BUY/SELL setups
This tool is designed to support structured and consistent intraday trading with clear A+ setups.
Argentina Price per m² (USD) — (1999–2025)Overview
This indicator plots the historical USD price per square meter of apartments in CABA (Buenos Aires City), Argentina, combining annual data (1999–2011) from Maure Real Estate Market Reports with monthly data (2012–2025) from UCEMA and private market sources.
All values were manually digitized, cleaned, and consolidated to reconstruct the most complete long-term pricing series publicly available.
The script also includes SMA20, SMA50, and SMA100 over the custom dataset to support long-term trend analysis, cycle detection, and macro technical structure.
Data Sources
1999–2011 (Annual): Maure Real Estate Market Reports
2012–2020 (Monthly): UCEMA Real Estate Index
2020–2025 (Monthly): RE/MAX – UCEMA Market Monitor
How to Use This Indicator
This tool allows investors, developers, and analysts to:
Identify multiyear trend shifts
Compare cycles vs. Argentine macro environments
Map long-term support/resistance zones in real estate
Detect early signs of market recovery or contraction
Combine real estate fundamentals with technical analysis
The SMAs help visualize structural trends normally hidden in real estate data.
About This Work
This series was fully reconstructed and coded by engineer Francisco Michelich (@esFranMiche on X), combining market research, statistical consolidation, and technical analysis.
It is intended as an analytical tool, not an official financial index.
If you find this useful, feel free to follow and connect — feedback and collaboration are welcome.
Linkedin
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A.I. 👑 Optimus Prime [RubiXalgo]A.I. 👑 Optimus Prime Moving Averages
For the Trend following for the chart
Previous Session Lines — High, Low, and 50% LevelsThis indicator automatically marks the previous completed session’s price range on your chart. You select a daily session window (for example: 09:30–16:00) and the script calculates:
* Previous Session High
* Previous Session Low
* Previous Session 50% (Midpoint)
When a session closes, the indicator draws all three levels on the chart and extends them forward for 24 hours, giving you clean, stable reference levels for the current trading day. Only the most recent session is shown; older sessions are automatically removed.
These levels are commonly used by day traders and swing traders to identify:
* Key support and resistance zones
* Breakout or rejection levels
* Market bias for the new session
* Areas where liquidity tends to accumulate
* Price reaction levels during overnight or intraday trading
Because the lines do not update in real time during the session, the levels remain static, accurate, and truly represent the completed session.
Settings users can adjust:
Session Settings:
* Start and end time of the session (repeats daily)
* Custom session name, which appears on the line labels
Line Appearance:
* Color
* Line thickness
* Line style (solid, dashed, dotted)
Label Appearance:
* Text size (tiny to huge)
* Text color automatically adjusts to contrast with the selected line color
Why this indicator is useful:
* Makes prior session structure immediately visible
* Helps identify high-probability reaction areas
* Shows only one session to reduce clutter
* Lines stay stable regardless of chart zoom or scaling
* Labels stay aligned at the right side of the chart
* Works on all timeframes, including extended hours and crypto charts
This tool is ideal for traders who rely on structured session analysis, including day traders, futures traders, forex traders, crypto traders, and anyone using session highs and lows to guide trading decisions.
This was developed to create an auto-mapping tool to comply with MrZinc's "London 50" strategy. You can learn more about that on his YouTube channel www.youtube.com
You can follow my YouTube trading channel here
www.youtube.com
BS by bigmmBS by bigmm is a powerful tool designed to track and display cumulative trading volumes for bullish (green) and bearish (red) bars over a user-defined period. This indicator provides valuable insights into market sentiment by quantifying buying and selling pressure through volume analysis.
Adjustable lookback period from 20 to 10,000 bars
Default setting of 500 bars for balanced analysis
Real-time calculation updates on each new bar
BUY Volume: Total volume of green bars (close > open)
SELL Volume: Total volume of red bars (close < open)
Interpretation:
Higher BUY Volume: Indicates stronger buying pressure
Higher SELL Volume: Suggests stronger selling pressure
Balanced Volumes: Shows equilibrium between buyers and sellers
Ideal For:
Swing traders analyzing medium-term trends
Position traders evaluating long-term market sentiment
Volume-based trading strategies
Market structure analysis
Asia & UK Sessions (CT) w/ Same-Day Dotted LinesUpdated time frames on how to locate the Asia and UK time frames with a dotted line for reference.
The trading time frames for each are as follows:
Asia: 17:00 - 4:00 (Central Time)
UK/London: 2:00 - 7:30 (Central Time)
Aggregated Open InterestAggregates Open Interest data across 10 major crypto exchanges: Binance, Bybit, Kraken, MEXC, Bitget, BingX, Coinbase, Deribit, HTX, and Crypto.com.
Displays total market OI with candlesticks on intraday timeframes and a step line on daily+ timeframes. Color-coded: teal for increasing OI, red for decreasing OI.
Toggle individual exchanges on/off in settings to customize your view.
With this indicator there is no need to be on the perpetual chart of the asset for the open interest to be displayed.
FVG Finder + iFVG (labels g/d, bordures tendance)Détecte les fvg et ifvg et met le nombre de pips à coté
3 Band Volume matched Candles3 Band Volume matched Candles– is a clean, high-signal volume-based candle colouring system designed to highlight the extremes of market participation. Instead of using complex multi-band gradients, this simplified version focuses on what truly matters to scalpers and intraday traders:
🔵 Very Weak Volume (Exhaustion)
Shows when the market is running out of participation. These candles often appear near tops, stalled moves, fake breakouts, and areas where liquidity is drying up. Perfect for spotting potential reversals or rug-pull conditions.
⚪ Normal Volume (Baseline Flow)
Represents regular market activity. These neutral candles keep the chart clean and make the extremes stand out instantly.
🟥 Neon Hot-Red (High-Impact Volume)
Highlights moments of significant volume — intervention, aggression, absorption, stop hunts, or strong rejection wicks. These candles are critical for identifying real moves vs. fake ones, spotting wickbacks, and confirming momentum shifts.
Why This Tool Works
By focusing only on the very low and very high ends of market volume, the indicator cuts through noise and exposes the true behaviour behind each candle. Traders can instantly see:
When a move is losing strength
When a trend is topping or stalling
When big volume enters the market
When a wickback is driven by strong rejection
Whether a breakout is real or weak
When reversals are highly probable
This makes it ideal for scalpers, and anyone who trades fast-moving instruments
Customisation
Fully customisable weak/normal and normal/strong thresholds
User-defined colours for each band
Brightness control
Borders-only mode
Adjustable fill opacity
Optional corner legend for clarity
ZH1/5-Min Opening Range Breakout Strategy with Market Biasx.com
"ZH1/5-Min Opening Range Breakout Strategy with Market Bias"
FVG Finder + iFVG (labels g/d, bordures tendance)Indique les fvg et ifvg et le nombre de pips à coté
Golden Cross 50/200 EMATrend-following systems are characterized by having a low win rate, yet in the right circumstances (trending markets and higher timeframes) they can deliver returns that even surpass those of systems with a high win rate.
Below, I show you a simple bullish trend-following system with clear execution rules:
System Rules
-Long entries when the 50-period EMA crosses above the 200-period EMA.
-Stop Loss (SL) placed at the lowest low of the 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50-period EMA crosses below the 200-period EMA.
Risk Management
-Initial capital: $10,000
-Position size: 10% of capital per trade
-Commissions: 0.1% per trade
Important Note:
In the code, the stop loss is defined using the swing low (15 candles), but the position size is not adjusted based on the distance to the stop loss. In other words, 10% of the equity is risked on each trade, but the actual loss on the trade is not controlled by a maximum fixed percentage of the account — it depends entirely on the stop loss level. This means the loss on a single trade could be significantly higher or lower than 10% of the account equity, depending on volatility.
Implementing leverage or reducing position size based on volatility is something I haven’t been able to include in the code, but it would dramatically improve the system’s performance. It would fix a consistent percentage loss per trade, preventing losses from fluctuating wildly with changes in volatility.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to stop loss
And when volatility is high and would exceed the fixed percentage we want to expose per trade (if the SL is hit), we could reduce the position size accordingly.
Practical example:
Imagine we only want to risk 15% of the position value if the stop loss is triggered on Tesla (which has high volatility), but the distance to the SL represents a potential 23.57% drop. In this case, we subtract the desired risk (15%) from the actual volatility-based loss (23.57%):
23.57% − 15% = 8.57%
Now suppose we normally use $200 per trade.
To calculate 8.57% of $200:
200 × (8.57 / 100) = $17.14
Then subtract that amount from the original position size:
$200 − $17.14 = $182.86
In summary:
If we reduce the position size to $182.86 (instead of the usual $200), even if Tesla moves 23.57% against us and hits the stop loss, we would still only lose approximately 15% of the original $200 position — exactly the risk level we defined. This way, we strictly respect our risk management rules regardless of volatility swings.
I hope this clearly explains the importance of capping losses at a fixed percentage per trade. This keeps risk under control while maintaining a consistent percentage of capital invested per trade — preventing both statistical distortion of the system and the potential destruction of the account.
About the code:
Strategy declaration:
The strategy is named 'Golden Cross 50/200 EMA'.
overlay=true means it will be drawn directly on the price chart.
initial_capital=10000 sets the initial capital to $10,000.
default_qty_type=strategy.percent_of_equity and default_qty_value=10 means each trade uses 10% of available equity.
margin_long=0 indicates no margin is used for long positions (this is likely for simulation purposes only; in real trading, margin would be required).
commission_type=strategy.commission.percent and commission_value=0.1 sets a 0.1% commission per trade.
Indicators:
Calculates two EMAs: a 50-period EMA (ema50) and a 200-period EMA (ema200).
Crossover detection:
bullCross is triggered when the 50-period EMA crosses above the 200-period EMA (Golden Cross).
bearCross is triggered when the 50-period EMA crosses below the 200-period EMA (Death Cross).
Recent swing:
swingLow calculates the lowest low of the previous 15 periods.
Stop Loss:
entryStopLoss is a variable initialized as na (not available) and is updated to the current swingLow value whenever a bullCross occurs.
Entry and exit conditions:
Entry: When a bullCross occurs, the initial stop loss is set to the current swingLow and a long position is opened.
Exit on opposite signal: When a bearCross occurs, the long position is closed.
Exit on stop loss: If the price falls below entryStopLoss while a position is open, the position is closed.
Visualization:
Both EMAs are plotted (50-period in blue, 200-period in red).
Green triangles are plotted below the bar on a bullCross, and red triangles above the bar on a bearCross.
A horizontal orange line is drawn that shows the stop loss level whenever a position is open.
Alerts:
Alerts are created for:Long entry
Exit on bearish crossover (Death Cross)
Exit triggered by stop loss
Favorable Conditions:
Tesla (45-minute timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $12,458.73 or +124.59%
Maximum drawdown: $1,210.40 or 8.29%
Total trades: 107
Winning trades: 27.10% (29/107)
Profit factor: 3.141
Tesla (1-hour timeframe)
June 29, 2010 – November 17, 2025
Total net profit: $7,681.83 or +76.82%
Maximum drawdown: $993.36 or 7.30%
Total trades: 75
Winning trades: 29.33% (22/75)
Profit factor: 3.157
Netflix (45-minute timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,380.73 or +113.81%
Maximum drawdown: $699.45 or 5.98%
Total trades: 134
Winning trades: 36.57% (49/134)
Profit factor: 2.885
Netflix (1-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $11,689.05 or +116.89%
Maximum drawdown: $844.55 or 7.24%
Total trades: 107
Winning trades: 37.38% (40/107)
Profit factor: 2.915
Netflix (2-hour timeframe)
May 23, 2002 – November 17, 2025
Total net profit: $12,807.71 or +128.10%
Maximum drawdown: $866.52 or 6.03%
Total trades: 56
Winning trades: 41.07% (23/56)
Profit factor: 3.891
Meta (45-minute timeframe)
May 18, 2012 – November 17, 2025
Total net profit: $2,370.02 or +23.70%
Maximum drawdown: $365.27 or 3.50%
Total trades: 83
Winning trades: 31.33% (26/83)
Profit factor: 2.419
Apple (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,232.55 or +80.59%
Maximum drawdown: $581.11 or 3.16%
Total trades: 140
Winning trades: 34.29% (48/140)
Profit factor: 3.009
Apple (1-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $9,685.89 or +94.93%
Maximum drawdown: $374.69 or 2.26%
Total trades: 118
Winning trades: 35.59% (42/118)
Profit factor: 3.463
Apple (2-hour timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $8,001.28 or +77.99%
Maximum drawdown: $755.84 or 7.56%
Total trades: 67
Winning trades: 41.79% (28/67)
Profit factor: 3.825
NVDA (15-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $11,828.56 or +118.29%
Maximum drawdown: $1,275.43 or 8.06%
Total trades: 466
Winning trades: 28.11% (131/466)
Profit factor: 2.033
NVDA (30-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $12,203.21 or +122.03%
Maximum drawdown: $1,661.86 or 10.35%
Total trades: 245
Winning trades: 28.98% (71/245)
Profit factor: 2.291
NVDA (45-minute timeframe)
January 3, 2000 – November 17, 2025
Total net profit: $16,793.48 or +167.93%
Maximum drawdown: $1,458.81 or 8.40%
Total trades: 172
Winning trades: 33.14% (57/172)
Profit factor: 2.927
Effort HeatmapThe Effort Heatmap visualizes where meaningful, same-direction volume occurred inside an imbalance during strong directional movement.
Instead of analyzing total bar volume or traditional volume-at-price distributions, this tool reconstructs a simplified internal volume profile using lower-timeframe data.
When a Fair Value Gap forms during a high-volume displacement, the script highlights the portions of the imbalance candle where directional effort was concentrated and projects those regions forward as a heatmap.
The purpose of this indicator is not to predict price or represent institutional activity, but to offer a visual way to study how the market delivered volume inside a move that created an imbalance.
How It Works
1. Lower-Timeframe Volume Extraction
The indicator retrieves open, close, and volume data from a selected lower timeframe.
Only sub-candles that move in the same direction as the previous bar are considered, ensuring the heatmap reflects directional effort—not mixed volume.
2. Candle Body Binning
The FVG candle is divided into multiple horizontal bins.
Each lower-timeframe sub-candle contributes volume proportionally to the bins it overlaps, creating a vertical volume distribution for that bar.
3. Imbalance (FVG) Detection
A simple 3-bar displacement logic detects bullish or bearish imbalances.
An optional Z-Score filter ensures the heatmap only forms when volume is relatively elevated compared to recent history.
4. Heatmap Projection
When a qualifying imbalance occurs:
• The FVG bar’s volume distribution is normalized
• Only areas with relatively elevated volume are displayed
• Colored heatmap boxes are created and extend forward
• These boxes remain until price trades into or through them
This allows traders to observe how price interacts with past zones of concentrated directional effort.
What Makes It Different
Most volume tools focus on fixed session profiles, market-wide volume-at-price calculations, or bar-level volume totals.
The Effort Heatmap instead reconstructs a per-bar vertical volume distribution using lower-timeframe price action and displays it only when displacement occurs.
Rather than treating the candle as a single block of volume, the indicator highlights where inside the candle body volume was delivered while moving in the displacement direction.
This creates a unique visualization of directional effort that conventional profiles, OB/FVG indicators, and classic oscillators do not show.
How to Use It
1. Apply to any timeframe: The indicator works on all chart timeframes, but gains more detail when higher timeframes are used in combination with lower-timeframe volume data.
2. Identify displacement moments: When a bullish or bearish FVG forms with a high volume Z-Score, the heatmap will appear.
3. Observe the heatmap structure:
Each horizontal band represents the relative concentration of same-direction volume inside the previous candle.
4. Watch how price interacts with these zones:
Heatmap areas extend until price touches or trades through them, at which point they stop extending and are finalized.
5. Combine with your own analysis:
These areas can be used to study...
...how past directional volume clusters influence current movement
...structural reactions to zones of prior effort
...which parts of a displacement candle were most active
The indicator is a visual study tool, not a signal generator.
Settings
• Volume Source Timeframe
Chooses the lower timeframe used to reconstruct internal volume. Smaller timeframes give more detail; larger timeframes give smoother profiles.
• Z-Score Lookback
Controls how many bars are used to measure relative volume. Larger values make the volume filter stricter.
• Z-Score Threshold
Minimum relative-volume strength required to draw a heatmap. Higher values show only high-effort moves.
• Volume Filter (%)
Removes weaker bins based on how much volume they contain compared to the strongest one. Higher percentages = fewer but more meaningful zones.
• Bullish / Bearish Colors
Sets the base color for heatmap boxes depending on direction.
J&C Indicator 20/40 MA4H SMA Signal Map (20/40) Strategy
Timeframe: 4-Hour
Overview:
This is a momentum-based trend confirmation system using dual moving averages. The strategy identifies potential entry points when price action aligns with moving average positioning.
LONG Signal:
Triggers when the market demonstrates bullish momentum with price confirming an upside breakout while both moving averages are in a favorable uptrend alignment.
SHORT Signal:
Triggers when the market demonstrates bearish momentum with price confirming a downside breakdown while both moving averages are in a favorable downtrend alignment.
Key Features:
Uses a 20-period and 40-period simple moving average on the 4-hour timeframe
Filters out false signals by requiring multi-factor confirmation
Generates clear visual alerts with background highlighting
Real-time dashboard showing current MA values and trend direction
Sound/notification alerts for immediate signal awareness
Best Used For:
Swing trading on higher timeframes with proper risk management and support from additional confluence factors on your trading setup.
ATR or % Based Trailing Stop for Delta Exchange (trade_crush)This indicator calculates and visually displays a dynamic trailing stop line on the chart based on either the Average True Range (ATR) or a fixed percentage of the current close price. Designed especially for futures or crypto traders using Delta Exchange, it helps determine where to place trailing stop loss orders to manage risk effectively.
Proyeccion Cuantitativa 6m - 3 escenarios“The chart displays three 6-month projected price paths based on trend and volatility: a conservative lower curve, a moderate expected path, and an aggressive upper scenario.”
Liquidity Sweep This indicator is a precision ICT Liquidity Sweep Detector. It:
✔ Finds real swing highs and lows
✔ Detects true stop runs
✔ Verifies strong wick rejection
✔ Confirms reversals
✔ Filters out weak/noisy wicks
✔ Avoids repeated/clustered sweeps
✔ Shows only the best most recent sweep
✔ Displays arrow + label + line cleanly






















