Supply & Demand (MTF) | Picaspec
Picaspec Supply and Demand Zone Indicator
*A multi-timeframe supply & demand zone detection tool for TradingView*
### 🧠 **Overview**
This indicator is designed to automatically identify and plot **supply and demand zones** across multiple timeframes on any TradingView chart. These zones are key areas where price has previously shown significant buying (demand) or selling (supply) interest — and where future price reactions are highly probable.
It simplifies the application of supply and demand trading concepts by visually marking potential reversal or continuation zones, helping traders spot high-probability trade opportunities with minimal effort.
---
### 🔍 **Key Features**
#### ✅ **Automatic Supply and Demand Zone Detection**
* The indicator identifies **strong price imbalances** based on previous price action.
* It plots **demand zones** where price moved away strongly after a base, indicating buying pressure.
* It plots **supply zones** where price dropped sharply after a base, indicating selling pressure.
* Zones are drawn based on classic supply/demand criteria (drop-base-rally, rally-base-drop, etc.).
#### 🕰️ **Multi-Timeframe Analysis**
* Detects zones from higher timeframes like **1H, 4H, Daily**, etc., and overlays them on lower timeframes.
* This helps traders combine intraday entries with broader context from higher timeframe zones.
#### 🎯 **Refinement and Filtering Options**
* **Mitigated zones** can be hidden or shown — once price revisits a zone, it’s marked as "used."
* **Zone strength** filters allow traders to focus only on the most relevant supply/demand areas.
* Traders can toggle visibility for each timeframe zone to reduce chart clutter.
#### 🎨 **Visual Clarity**
* **Color-coded zones**:
* Green for demand
* Red for supply
* Adjustable transparency and zone thickness.
* Labels for timeframes (e.g., "4H Supply") to clearly show origin.
#### 📐 **Dynamic Updates**
* Zones update in real-time as new supply/demand formations are detected.
* Outdated or invalid zones are removed, keeping charts clean and actionable.
---
### ⚙️ **Customization Options**
* Enable/disable zones by timeframe (e.g., only show Daily + 4H).
* Adjust zone style: color, line style, label visibility.
* Control how long zones remain on the chart after being mitigated.
* Turn on/off alerts when price enters a zone (optional).
---
### 💡 **Use Cases**
* **Swing Trading**: Use Daily and 4H zones for identifying macro-level turning points.
* **Intraday Trading**: Drop to 15m or 1H zones for scalping precise entries inside higher timeframe zones.
* **Confluence Trading**: Combine S\&D zones with price action, break of structure, or candlestick patterns for higher probability trades.
---
### 🧑💼 **Who Is This For?**
* Traders who follow **Supply & Demand** methodology.
* Price action traders looking to automate zone plotting.
* Beginners who want to visually learn how S\&D zones work.
* Advanced traders who need efficient multi-timeframe zone overlays.
Forecasting
UT Bot + Hull MA Confirmed Signal DelayOverview
This indicator is designed to detect high-probability reversal entry signals by combining "UT Bot Alerts" (UT Bot Alerts script adapted from QuantNomad - Originally developed by Yo_adriiiiaan and idea of original code for "UT Bot Alerts" from HPotter ) with confirmation from a Hull Moving Average (HMA) Developed by Alan Hull . It focuses on capturing momentum shifts that often precede trend reversals, helping traders identify potential entry points while filtering out false signals.
🔍 How It Works
This strategy operates in two stages:
1. UT Bot Momentum Trigger
The foundation of this script is the "UT Bot Alerts" , which uses an ATR-based trailing stop to detect momentum changes. Specifically:
The script calculates a dynamic stop level based on the Average True Range (ATR) multiplied by a user-defined sensitivity factor (Key Value).
When price closes above this trailing stop and the short-term EMA crosses above the stop, a potential buy setup is triggered.
Conversely, when price closes below the trailing stop and the short-term EMA crosses below, a potential sell setup is triggered.
These UT Bot alerts are designed to identify the initial shift in market direction, acting as the first filter in the signal process.
2. Hull MA Confirmation
To reduce noise and false triggers from the UT Bot alone, this script delays the entry signal until price confirms the move by crossing the Hull Moving Average (or its variants: HMA, THMA, EHMA) in the same direction as the UT Bot trigger:
A Buy Signal is generated only when:
A UT Bot Buy condition is active, and
The price closes above the Hull MA.
Or, if a UT Bot Buy condition was recently triggered but price hadn’t yet crossed above the Hull MA, a delayed buy is signaled when price finally breaks above it.
A Sell Signal is generated only when:
A UT Bot Sell condition is active, and
The price closes below the Hull MA.
Similarly, a delayed sell signal can occur if price breaks below the Hull MA shortly after a UT Bot Sell trigger.
This dual-confirmation process helps traders avoid premature entries and improves the reliability of reversal signals.
📈 Best Use Cases
Reversal Trading: This strategy is particularly well-suited for catching early trend reversals rather than trend continuations. It excels at identifying momentum pivots that occur after pullbacks or exhaustion moves.
Heikin Ashi Charts Recommended: The script offers a Heikin Ashi mode for smoothing out noise and enhancing visual clarity. Using Heikin Ashi candles can further reduce whipsaws and highlight cleaner shifts in trend direction.
MACD Alignment: For best results, trade in the direction of the MACD trend or use it as a filter to avoid counter-trend trades.
⚠️ Important Notes
Entry Signals Only: This indicator only plots entry points (Buy and Sell signals). It does not define exit strategies, so users should manage trades manually using trailing stops, profit targets, or other exit indicators.
No Signal = No Confirmation: You may see a UT Bot trigger without a corresponding Buy/Sell signal. This means the price did not confirm the move by crossing the Hull MA, and therefore the setup was considered too weak or incomplete.
⚙️ Customization
UT Bot Sensitivity: Adjust the “Key Value” and “ATR Period” to make the UT Bot more or less reactive to price action.
Use Heikin Ashi: Toggle between standard candles or Heikin Ashi in the indicator settings for a smoother trading experience.
The HMA length may also be modified in the indicator settings from its standard 55 length to increase or decrease the sensitivity of signal.
This strategy is best used by traders looking for a structured, logic-based way to enter early into reversals with added confirmation to reduce risk. By combining two independent systems—momentum detection (UT Bot) and trend confirmation (Hull MA)—it aims to provide high-confidence entries without overwhelming complexity.
Let the indicator guide your entries—you manage the exits.
Examples of use:
Futures:
Stock:
Crypto:
As shown in the snapshots this strategy, like most, works the best when price action has a sizeable ATR and works the least when price is choppy. Therefore it is always best to use this system when price is coming off known support or resistance levels and when it is seen to respect short term EMA's like the 9 or 15.
My personal preference to use this system is for day trading on a 3 or 5 minute chart. But it is valid for all timeframes and simply marks a high probability for a new trend to form.
Sources:
Quant Nomad - www.tradingview.com
Yo_adriiiiaan - www.tradingview.com
HPotter - www.tradingview.com
Hull Moving Average - alanhull.com
Taylor Series ForecastThis indicator projects future price movement using a second-order Taylor Series expansion, calculated from a smoothed price (EMA). It models price momentum and acceleration to generate a forward-looking trajectory.
Forecast points are plotted continuously as connected line segments extending into the future. Each segment is color-coded based on slope:
Green indicates an upward slope (bullish forecast).
Red indicates a downward slope (bearish forecast).
The forecast adapts to current market conditions and updates dynamically with each new bar. Useful for visualizing potential future price paths and identifying directional bias based on recent price action.
Inputs:
Max Forecast Horizon: How many bars into the future the forecast extends.
EMA Smoothing Length: The smoothing applied to price before calculating derivatives.
This tool is experimental and should be used in conjunction with other analysis methods. It does not guarantee future price performance.
Breakout Scanner (VWAP+Volume+RSI)If the price is above the VWAP, there is an increase in volume and the RSI is > 60, it gives a breakout signal. Most Effective for Breakout
Breakout/Fakeout Mum Tespitçisi🧠 How to Work?
Breakout Up (Y↑): The candle breaks the upper band up, continues above and the shadow is short.
Breakout Down (Y↓): The candle breaks the lower band down, continues above and the shadow is short.
Fakeout Up (F↑): The upper band closes again without opening (bull trap).
Fakeout Down (F↓): The lower band breaks but closes again (bear trap).
Kenneth EMA Crossover StrategyKenneth EMA Crossover Strategy
The Kenneth EMA Crossover Strategy is a minimalist yet powerful trend-following tool designed for intraday and short-term trading on leveraged instruments. It focuses purely on EMA crossovers, utilizing a fast custom EMA (Kenneth EMA) and a slower EMA filter to generate clean, momentum-based entry signals.
This system is built with simplicity and execution speed in mind, making it well-suited for traders aiming to capture quick directional moves with high precision. By targeting modest profits such as +0.5% per trade and applying leverage wisely, the strategy aims to consistently realize gains while keeping exposure controlled.
🚀 Core Features:
EMA crossover logic for clear long/short entries
Visual signals and background highlights for instant readability
No noise, no overfitting — just price and trend
💡 Usage Tips:
Best used on trending assets with high volatility
Optimize timeframes and EMA lengths based on the asset's behavior
Ideal when paired with tight TP logic and disciplined risk management
This strategy is not about predicting tops or bottoms — it's about riding momentum efficiently and exiting with a profit. Perfect for fast-paced markets where every fraction of a percent counts.
Morning Zone Marker — Sniper Trading System™️ Module📝 Short Description:
Visually defines the dealer setup range from 6 PM to 1 AM EST with subtle background shading and white boundary lines — a critical time window in the Sniper Trading System™️.
📄 Full Description (Long Description):
🔫 Morning Zone Marker — Sniper Trading System™️ Module
This indicator module is part of the Sniper Trading System™️ — a precision-based institutional trading framework built for traders who demand accuracy, structure, and edge.
🧠 Purpose
The Morning Zone Marker is engineered to visually isolate the critical dealer setup window that occurs from 6:00 PM to 1:00 AM EST each day. This time period often marks range-building and liquidity engineering by institutional dealers before the London and New York sessions open.
🎯 Key Benefits
Identifies potential false moves and Judas swings designed to trap retail traders.
Frames liquidity zones, consolidation ranges, and standard deviation boundaries for sniper entries.
Reinforces trading discipline by helping traders avoid premature entries outside sniper hours.
⚙️ How It Works
Uses time() to define the session from 6:00 PM to 1:00 AM EST.
Applies a light gray transparent background during this time.
Draws white vertical lines at the session’s start and end to simulate a clean "Morning Box" boundary.
✅ Sniper Trading System Integration
Integrates seamlessly with the full Sniper Trading System Indicator™️, including:
Dealer Range Mapping (2–8 PM EST)
Standard Deviation Target Zones
Morning Kill Zone Entries (2:15–5:00 AM EST)
New York Sniper Entries (7:15–10:00 AM EST)
Bias Candles, RSI Filters, and Liquidity Sweep Detection
Best used on 15-minute to 1-hour timeframes for Forex, Futures, and Indices trading.
Bot Alerta Técnica con Alternancia - Speedy ValidadoThis script generates clean BUY and SELL alerts based on a momentum-based strategy using EMA crossovers, RSI, TTM Squeeze momentum, and the Speedy Gonzales indicator.
🔹 BUY signal triggers only when:
Recent EMA8 crosses above EMA21
Price is above EMA200
RSI is above 50
Momentum is rising
Speedy Gonzales is in bullish mode
🔻 SELL signal triggers when either:
Price closes below EMA21
Speedy Gonzales turns bearish
✅ Signals alternate: no repeated BUY or SELL alerts until the opposite signal is triggered.
Trade PlannerTrade planner - Input capital or No. of shares, entry price, target price, risk % and calculate your profit and risk
KAVAUSDT Gelişmiş Breakout/Support-Resistance Stratejisi🧠 Timeframe Matching:
🔹 Ideal: 15 Minutes & 1 Hour
🔹 Supporting: 5D (very short term scalp), 4s (for medium term confirmation)
Gustavo LiquidityThis script draws a user-colored horizontal ray on each green candle and places a blue flag at the ray’s end if the price touches the ray again within a specified number of future bars.
JPMorgan G7 Volatility IndexThe JPMorgan G7 Volatility Index: Scientific Analysis and Professional Applications
Introduction
The JPMorgan G7 Volatility Index (G7VOL) represents a sophisticated metric for monitoring currency market volatility across major developed economies. This indicator functions as an approximation of JPMorgan's proprietary volatility indices, providing traders and investors with a normalized measurement of cross-currency volatility conditions (Clark, 2019).
Theoretical Foundation
Currency volatility is fundamentally defined as "the statistical measure of the dispersion of returns for a given security or market index" (Hull, 2018, p.127). In the context of G7 currencies, this volatility measurement becomes particularly significant due to the economic importance of these nations, which collectively represent more than 50% of global nominal GDP (IMF, 2022).
According to Menkhoff et al. (2012, p.685), "currency volatility serves as a global risk factor that affects expected returns across different asset classes." This finding underscores the importance of monitoring G7 currency volatility as a proxy for global financial conditions.
Methodology
The G7VOL indicator employs a multi-step calculation process:
Individual volatility calculation for seven major currency pairs using standard deviation normalized by price (Lo, 2002)
- Weighted-average combination of these volatilities to form a composite index
- Normalization against historical bands to create a standardized scale
- Visual representation through dynamic coloring that reflects current market conditions
The mathematical foundation follows the volatility calculation methodology proposed by Bollerslev et al. (2018):
Volatility = σ(returns) / price × 100
Where σ represents standard deviation calculated over a specified timeframe, typically 20 periods as recommended by the Bank for International Settlements (BIS, 2020).
Professional Applications
Professional traders and institutional investors employ the G7VOL indicator in several key ways:
1. Risk Management Signaling
According to research by Adrian and Brunnermeier (2016), elevated currency volatility often precedes broader market stress. When the G7VOL breaches its high volatility threshold (typically 1.5 times the 100-period average), portfolio managers frequently reduce risk exposure across asset classes. As noted by Borio (2019, p.17), "currency volatility spikes have historically preceded equity market corrections by 2-7 trading days."
2. Counter-Cyclical Investment Strategy
Low G7 volatility periods (readings below the lower band) tend to coincide with what Shin (2017) describes as "risk-on" environments. Professional investors often use these signals to increase allocations to higher-beta assets and emerging markets. Campbell et al. (2021) found that G7 volatility in the lowest quintile historically preceded emerging market outperformance by an average of 3.7% over subsequent quarters.
3. Regime Identification
The normalized volatility framework enables identification of distinct market regimes:
- Readings above 1.0: Crisis/high volatility regime
- Readings between -0.5 and 0.5: Normal volatility regime
- Readings below -1.0: Unusually calm markets
According to Rey (2015), these regimes have significant implications for global monetary policy transmission mechanisms and cross-border capital flows.
Interpretation and Trading Applications
G7 currency volatility serves as a barometer for global financial conditions due to these currencies' centrality in international trade and reserve status. As noted by Gagnon and Ihrig (2021, p.423), "G7 currency volatility captures both trade-related uncertainty and broader financial market risk appetites."
Professional traders apply this indicator in multiple contexts:
- Leading indicator: Research from the Federal Reserve Board (Powell, 2020) suggests G7 volatility often leads VIX movements by 1-3 days, providing advance warning of broader market volatility.
- Correlation shifts: During periods of elevated G7 volatility, cross-asset correlations typically increase what Brunnermeier and Pedersen (2009) term "correlation breakdown during stress periods." This phenomenon informs portfolio diversification strategies.
- Carry trade timing: Currency carry strategies perform best during low volatility regimes as documented by Lustig et al. (2011). The G7VOL indicator provides objective thresholds for initiating or exiting such positions.
References
Adrian, T. and Brunnermeier, M.K. (2016) 'CoVaR', American Economic Review, 106(7), pp.1705-1741.
Bank for International Settlements (2020) Monitoring Volatility in Foreign Exchange Markets. BIS Quarterly Review, December 2020.
Bollerslev, T., Patton, A.J. and Quaedvlieg, R. (2018) 'Modeling and forecasting (un)reliable realized volatilities', Journal of Econometrics, 204(1), pp.112-130.
Borio, C. (2019) 'Monetary policy in the grip of a pincer movement', BIS Working Papers, No. 706.
Brunnermeier, M.K. and Pedersen, L.H. (2009) 'Market liquidity and funding liquidity', Review of Financial Studies, 22(6), pp.2201-2238.
Campbell, J.Y., Sunderam, A. and Viceira, L.M. (2021) 'Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds', Critical Finance Review, 10(2), pp.303-336.
Clark, J. (2019) 'Currency Volatility and Macro Fundamentals', JPMorgan Global FX Research Quarterly, Fall 2019.
Gagnon, J.E. and Ihrig, J. (2021) 'What drives foreign exchange markets?', International Finance, 24(3), pp.414-428.
Hull, J.C. (2018) Options, Futures, and Other Derivatives. 10th edn. London: Pearson.
International Monetary Fund (2022) World Economic Outlook Database. Washington, DC: IMF.
Lo, A.W. (2002) 'The statistics of Sharpe ratios', Financial Analysts Journal, 58(4), pp.36-52.
Lustig, H., Roussanov, N. and Verdelhan, A. (2011) 'Common risk factors in currency markets', Review of Financial Studies, 24(11), pp.3731-3777.
Menkhoff, L., Sarno, L., Schmeling, M. and Schrimpf, A. (2012) 'Carry trades and global foreign exchange volatility', Journal of Finance, 67(2), pp.681-718.
Powell, J. (2020) Monetary Policy and Price Stability. Speech at Jackson Hole Economic Symposium, August 27, 2020.
Rey, H. (2015) 'Dilemma not trilemma: The global financial cycle and monetary policy independence', NBER Working Paper No. 21162.
Shin, H.S. (2017) 'The bank/capital markets nexus goes global', Bank for International Settlements Speech, January 15, 2017.
Cointegration Heatmap & Spread Table [EdgeTerminal]The Cointegration Heatmap is a powerful visual and quantitative tool designed to uncover deep, statistically meaningful relationships between assets.
Unlike traditional indicators that react to price movement, this tool analyzes the underlying statistical relationship between two time series and tracks when they diverge from their long-term equilibrium — offering actionable signals for mean-reversion trades .
What Is Cointegration?
Most traders are familiar with correlation, which measures how two assets move together in the short term. But correlation is shallow — it doesn’t imply a stable or predictable relationship over time.
Cointegration, however, is a deeper statistical concept: Two assets are cointegrated if a linear combination of their prices or returns is stationary , even if the individual series themselves are non-stationary.
Cointegration is a foundational concept in time series analysis, widely used by hedge funds, proprietary trading firms, and quantitative researchers. This indicator brings that institutional-grade concept into an easy-to-use and fully visual TradingView indicator.
This tool helps answer key questions like:
“Which stocks tend to move in sync over the long term?”
“When are two assets diverging beyond statistical norms?”
“Is now the right time to short one and long the other?”
Using a combination of regression analysis, residual modeling, and Z-score evaluation, this indicator surfaces opportunities where price relationships are stretched and likely to snap back — making it ideal for building low-risk, high-probability trade setups.
In simple terms:
Cointegrated assets drift apart temporarily, but always come back together over time. This behavior is the foundation of successful pairs trading.
How the Indicator Works
Cointegration Heatmap indicator works across any market supported on TradingView — from stocks and ETFs to cryptocurrencies and forex pairs.
You enter your list of symbols, choose a timeframe, and the indicator updates every bar with live cointegration scores, spread signals, and trade-ready insights.
Indicator Settings:
Symbol list: a customizable list of symbols separated by commas
Returns timeframe: time frame selection for return sampling (Weekly or Monthly)
Max periods: max periods to limit the data to a certain time and to control indicator performance
This indicator accomplishes three major goals in one streamlined package:
Identifies stable long-term relationships (cointegration) between assets, using a heatmap visualization.
Tracks the spread — the difference between actual prices and the predicted linear relationship — between each pair.
Generates trade signals based on Z-score deviations from the mean spread, helping traders know when a pair is statistically overextended and likely to mean revert.
The math:
Returns are calculated using spread tickers to ensure alignment in time and adjust for dividends, splits, and other inconsistencies.
For each unique pair of symbols, we perform a linear regression
Yt=α+βXt+ε
Then we compute the residuals (errors from the regression):
Spreadt=Yt−(α+βXt)
Calculate the standard deviation of the spread over a moving window (default: 100 samples) and finally, define the Cointegration Score:
S=1/Standard Deviation of Residuals
This means, the lower the deviation, the tighter the relationship, so higher scores indicate stronger cointegration.
Always remember that cointegration can break down so monitor the asset over time and over multiple different timeframes before making a decision.
How to use the indicator
The heatmap table:
The indicator displays 2 very important tables, one in the middle and one on the right side. After entering your symbols, the first table to pay attention to is the middle heatmap table.
Any assets with a cointegration value of 25% is something to pay attention to and have a strong and stable relationship. Anything below is weak and not tradable.
Additionally, the 40% level is another important line to cross. Assets that have a cointegration score of over 40% will most likely have an extremely strong relationship.
Think about it this way, the higher the percentage, the tighter and more statistically reliable the relationship is.
The spread table:
After finding a good asset pair using heatmap, locate the same pair in the spread table (right side).
Here’s what you’ll see on the table:
Spread: Current difference between the two symbols based on the regression fit
Mean: Historical average of that spread
Z-score: How far current spread is from the mean in standard deviations
Signal: Trade suggestion: Short, Long, or Neutral
Since you’re expecting mean reversion, the idea is that the spread will return to the average. You want to take a trade when the z-score is either over +2 or below -2 and exit when z-score returns to near 0.
You will usually see the trade suggestion on the spread chart but you can make your own decision based on your risk level.
Keep in mind that the Z-score for each pair refers to how off the first asset is from the mean compared to the second one, so for example if you see STOCKA vs STOCKB with a Z-score of -1.55, we are regressing STOCKB (Y) on STOCKA (X).
In this case, STOCKB is the quoted asset and STOCKA is the base asset.
In this case, this means that STOCKB is much lower than expected relative to STOCKA, so the trade would be a long position on stock B and short position on stock A.
Forex Algo-Trade ~ Ano_Jokamp354Forex Algo-Trade ~ Ano_Jokamp354
is a tool designed to assist traders around the world in analyzing the foreign exchange market, and even metals. By identifying the potential direction of future price movements, it helps you make more accurate trading decisions.
The developer of this tool is a young Indonesian trader known by the nickname Ano_Jokamp354 , who has been involved in the capital market since his school days.
CMA Technologies ADX Trend Strength Entry Bot🔷 Strategy Name: CMA Technologies – ADX Trend Strength Entry Bot
📈 Type: Trend-Strength Filtered Entry / Directional Bias
🕐 Recommended Timeframes: 4H, 12H, 1D
📊 Only enters when trend strength is confirmed by ADX
📘 Strategy Overview:
Not all trends are worth trading.
This bot by CMA Technologies enters only when a strong, directional trend is detected using the ADX indicator.
Rather than reacting to every signal, it waits for the true underlying strength of the market to build up — and only then acts.
🔍 Core Logic:
Calculates +DI, -DI, and ADX using DMI logic
Entry conditions:
Long: ADX above threshold & +DI > -DI
Short: ADX above threshold & -DI > +DI
Exits when directional bias flips (DI crossover)
This keeps the system out of choppy zones and focused on meaningful price movement.
⚙️ Strategy Settings:
ADX Length: 14
ADX Threshold: 25 (configurable)
Position Size: 50% of equity
Max Pyramiding: 5
Commission: 0.05%
⏱️ Recommended Timeframes:
✅ 4H
✅ 12H
✅ 1D
These higher timeframes allow the ADX signal to mature and produce fewer, more reliable trades.
🧠 Best Suited For:
Traders who want to filter out weak/noisy trends
Momentum and directional bias systems
Pairs and assets with long trend cycles (e.g. BTC, ETH, Gold, major FX)
📌 CMA Technologies – Only the strongest trends deserve your capital.
🔍 More bots and systems at: @CMATechnologies
DXY Monthly Return (+3M Lead)This indicator calculates the rolling monthly return (based on 21 trading days) for the U.S. Dollar Index (DXY), applying a +3-month forward shift (lead) to the series.
It is designed to help visualize the leading effect of USD strength or weakness on other macro-sensitive assets — particularly Bitcoin and crypto markets, which often react to changes in global dollar liquidity with a lag of approximately 10 weeks.
Note: This script does not invert the values directly. To match the inverted Y-axis visual used by Steno Research — where negative USD returns are displayed at the top — simply right-click the Y-axis in the chart panel and select “Invert Scale.”
💡 Use this tool for macro trend analysis, early crypto signal generation, or studying inverse correlations between USD and risk assets.
Source logic: Steno Research, Bloomberg, Macrobond.
Futures Strategy: EMA + CPR + RSI (No OI)Strategy Logic:
✅ 20 EMA / 50 EMA crossover for trend direction
✅ CPR (Central Pivot Range) for support/resistance context
✅ Optional enhancements:
RSI filter to avoid overbought/oversold zones
Volume filter to avoid weak signals
Goldbach The Algo2 Buy and Sell Signal Tracker[Spec]Goldbach The Algo2 Buy and Sell Signal Tracker — Dual-Range Confluence Signals
This indicator generates selective Buy and Sell signals based on a proprietary confluence system. It analyzes price interaction across two synchronized range models and identifies signals only when alignment is present in both layers. The goal is to improve signal quality by filtering out weak or isolated movements.
Unlike indicators that rely on moving averages, oscillators, or price action swings, this tool is designed to detect structural alignment based on fixed-range divisions and time-sensitive conditions.
Key Features
Signals appear only when two independent structural models agree
Uses a precision-based logic model (not frequency-based)
Prints only confirmed Buy and Sell labels — clean, minimal visuals
Effective across NAS100, Forex majors, BTC, and other trending markets
Suggested Timeframes
1–3 min: Scalping entry refinement (advanced users)
5–15 min: Session-based entries (London / NY)
30–60 min: Swing structure confirmation
This tool is designed for traders who prefer structured setups over reactive or momentum-driven signals.
Summary
A structured confluence tool designed for traders who want fewer, cleaner signals during confirmed alignment across two time-sensitive range models. Ideal for use within structured, session-based execution models or as part of a broader confirmation strategy.
Why This Script Is Closed Source
This script uses a proprietary internal system that analyzes confluence across two synchronized structural models. The logic is not based on standard Pine Script indicators and involves custom filtration and level behavior not publicly available. To protect its integrity, this tool is published as closed-source.
HTF ReversalsHTF Reversals — Big Turtle Soup & Relief Patterns
A multi-timeframe reversal indicator based on the logic of how pivots form and how true reversals begin. Designed for traders who want to catch high-probability turning points on higher timeframes, with visual clarity and actionable signals.
“Reversals don’t start from nowhere — they begin with a failed expansion and a reclaim of a prior range. This script helps you spot those moments, before the crowd.”
How It Works
Detects High Timeframe (HTF) “CR” Candles:
The script scans for large-bodied candles (“CR” candles) on higher timeframes (Monthly, Weekly, 3-Day). These candles often mark the end of a trend expansion and the start of a potential reversal zone.
Looks for “Inside” Candles:
After a CR candle, the script waits for a smaller “inside” candle, which signals a pause or failed continuation. The relationship between the CR and inside candle is key for identifying a possible reversal setup.
Engulfing Confirmation (Optional):
If the inside candle doesn’t immediately trigger a reversal, the script can wait for an engulfing move in the opposite direction, confirming the failed expansion and increasing the probability of a reversal.
Entry & Target Calculation:
For each valid setup, the script calculates a retracement entry (using Fibonacci levels like 0.382 or 0.618) and a logical target (usually the CR candle’s high or low).
Visuals: Lines & Boxes:
Each signal is marked with a horizontal line (entry) and a colored box extending from the HTF close to the entry price, visually highlighting the reversal zone for the same duration as the signal’s expected play-out.
Dashboard & Alerts:
A dashboard table summarizes the latest signals for each timeframe. Custom alerts notify you of new setups in real time.
Why It Works
Pivot Logic:
Reversals often start when a strong expansion candle (pivot) is followed by a failed attempt to continue in the same direction. This script codifies that logic, looking for the “pause” after the expansion and the first sign of a reclaim.
Multi-Timeframe Edge:
By focusing on higher timeframes, the indicator filters out noise and highlights only the most significant reversal opportunities.
Objective, Repeatable Rules:
All conditions are clearly defined and repeatable, removing subjectivity from reversal trading.
Visual Clarity:
The combination of lines and boxes makes it easy to see where reversals are likely to start and where your risk/reward lies.
How to Use
Add the indicator to your chart and select your preferred timeframes (Monthly, Weekly, 3-Day).
Watch for new signals on the dashboard or via alerts.
Use the entry line and box as your trade zone; the target is also displayed.
Combine with your own confluence (price action, volume, etc.) for best results.
This indicator is best used as a framework for understanding where high-probability reversals are likely to occur, not as a standalone buy/sell tool. Always use proper risk management.
Risk Calculator PRO — manual lot size + auto lot-suggestionWhy risk management?
90 % of traders blow up because they size positions emotionally. This tool forces Risk-First Thinking: choose the amount you’re willing to lose, and the script reverse-engineers everything else.
Key features
1. Manual or Market Entry – click “Use current price” or type a custom entry.
2. Setup-based ₹-Risk – four presets (A/B/C/D). Edit to your workflow.
3. Lot-Size Input + Auto Lot Suggestion – you tell the contract size ⇒ script tells you how many lots.
4. Auto-SL (optional) – tick to push stop-loss to exactly 1-lot risk.
5. Instant Targets – 1 : 2, 1 : 3, 1 : 4, 1 : 5 plotted and alert-ready.
6. P&L Preview – table shows potential profit at each R-multiple plus real ₹ at SL.
7. Margin Column – enter per-lot margin once; script totals it for any size.
8. Clean Table UI – dark/light friendly; updates every 5 bars.
9. Alert Pack – SL, each target, plus copy-paste journal line on the chart.
How to use
1. Add to chart > “Format”.
2. Type the lot size for the symbol (e.g., 1250 for Natural Gas, 1 for cash equity).
3. Pick Side (Buy / Sell) & Setup grade.
4. ✅ If you want the script to place SL for you, tick Auto-SL (risk = 1 lot).
5. Otherwise type your own Stop-loss.
6. Read the table:
• Suggested lots = how many to trade so risk ≤ setup ₹.
• Risk (currency) = real money lost if SL hits.
7. Set TradingView alerts on the built-in conditions (T1_2, SL_hit, etc.) if you’d like push / email.
8. Copy the orange CSV label to Excel / Sheets for journalling.
Best practices
• Never raise risk to “fit” a trade. Lower size instead.
• Review win-rate vs. R multiple monthly; adjust setups A–D accordingly.
• Test Auto-SL in replay before going live.
Disclaimer
This script is educational. Past performance ≠ future results. The author isn’t responsible for trading losses.
FxAST RSI Enhanced Plus [ALLDYN]
## 🟩 FxAST RSI Enhanced — Smoothed RSI Momentum with Dynamic Confluence Table
### 🔹 WHAT THIS SCRIPT DOES
This RSI enhancement script builds upon the classic Relative Strength Index by integrating:
* A **dual-layer EMA smoothing system** for RSI, allowing traders to observe fast vs. slow RSI movements
* **Real-time crossover signals** to detect early momentum shifts
* **Buy/Sell label plotting** when smoothed RSI crosses over/under with configurable thresholds
* An **optional smoothing toggle** to switch between swing and intraday trading styles
### 🔹 HOW IT WORKS
* RSI is calculated using a classic `rma` approach
* The script applies two separate EMAs (configurable lengths) to the RSI, serving as fast/slow signal lines
* Buy/Sell signals are generated when:
* The fast EMA crosses above the slow EMA (Buy) and RSI is above 40
* The fast EMA crosses below the slow EMA (Sell) and RSI is below 60
* RSI line, smoothed EMAs, and their fill are plotted for visual confirmation
**Original Feature** *(highlighting IP for protection)*:
A **confluence table** dynamically summarizes:
* The RSI fast/slow values
* The % delta between the smoothed EMAs
* A **directional bias reading** : Bullish, Bearish, or Neutral based on RSI behavior
* All values are color-coded and updated in real time to assist in fast market assessment
This table replaces cluttered on-chart signals with a **clean, structured summary** of RSI state and direction — ideal for both scalpers and swing traders.
### 🔹 HOW TO USE
1. Add the script to your chart (non-overlay).
2. Configure RSI/EMA lengths for your strategy (default: RSI 14, Fast EMA 3, Slow EMA 13).
3. Toggle “Smooth RSI?”:
* `ON` = For swing traders (smoother, slower signals)
* `OFF` = For intraday/momentum scalping (raw signals)
4. Use the **Buy/Sell labels** and **bias table** as confirmation tools, not sole entry triggers.
5. Alerts are available for both Buy and Sell crossover conditions.
### 🔹 WHAT MAKES IT ORIGINAL
While traditional RSI indicators only show the raw line or apply basic levels (30/70), this script offers:
* A **modular RSI smoothing engine** that adapts to swing or intraday preferences
* A **dual-EMA logic structure** for signal reliability
* A **real-time RSI bias assessment table**, designed to visualize RSI-based trend bias and magnitude
* The entire presentation is **decluttered** , avoiding redundant overlays while improving decision-making through the integrated data table
This script does not simply restyle RSI — it **restructures how RSI behavior is interpreted** , offering an objective confluence framework built around RSI’s smoothed motion and delta tracking.
---
Calculadora de Lotaje XAUUSD by @im_yulimatsSi operas XAUUSD, es una herramienta que te puede ayudar a calcular de manera simple, desde el mismo tradingview el lotaje a poner en tu operación a ejecutar. Disfrútela, de mí pa´ tí con amor.
INSTRUCCIONES:
Encima del mensaje que aparece en el gráfico al activar el Indicador, hacer doble clic. Luego se mostrará una ventana donde pondrás los datos que proporcionarás para que te muestre el lotaje sugerido, saldrá en el texto que sale en el gráfico.
Datos a agregar:
- Elegir por USD o por %
- Agregar capital SI eliges por USD
- Agregar % a arriesgar SI eliges por %
- Agregar balance actual de la cuenta
- Agregar cantidad de pips que tenga el Stop Loss
Automaticamente el resultado se muestra en el texto en el gráfico.
GRACIAS, ESPERO SEA DE AYUDA.
If you trade XAUUSD, it's a tool that can help you easily calculate the amount of space you need for your trade right from TradingView. Enjoy it, from me to you with love.
INSTRUCTIONS:
Double-click above the message that appears on the chart when you activate the Indicator. A window will appear where you will enter the data you need to show you the suggested lot size. It will appear in the text on the chart.
Data to add:
- Choose by USD or %
- Add capital if you choose by USD
- Add % to risk if you choose by %
- Add current account balance
- Add the number of pips the Stop Loss has
The result will automatically be displayed in the text on the chart.
THANK YOU, I HOPE IT HELPS.