Sniper_1H_Gold_V2_Tightened_Apr27 True Veteran Energy (Been There, Done That, Still Standing)
"Experience don't chase — it waits. Robot10A24 strikes when the time is right, not a second before."
Statistics
Funding Rate Strategy Indicator🚀 Funding Rate Strategy Indicator - Advanced Futures Trading Tool
🎯 Harness the Power of Funding Rates for Strategic Trading
The Funding Rate Strategy Indicator is a sophisticated trading tool designed for futures traders who want to capitalize on funding rate anomalies in cryptocurrency and derivatives markets.
This indicator monitors funding rate extremes and identifies potential trading opportunities when market sentiment becomes excessively skewed.
✨ Key Features
🔍 Funding Rate Monitoring: Automatically tracks funding rate values and identifies extreme conditions
📊 Volume Confirmation: Ensures signals are supported by increased trading volume
🕓 4-Hour Session Focus: Optimized for the critical 4-hour candle closings (03:00, 07:00, 11:00, 15:00, 19:00, 23:00)
🛑 Daily Signal Limits: Prevents overtrading by capping the number of signals per day
🚦 Visual Alerts: Clear visual indicators for both entry and exit signals
🎛️ Customizable Thresholds: Adjust long/short thresholds to match your risk tolerance
🧪 Backtesting Capability: Test the strategy against historical data with flexible take profit and stop loss settings
⚡ How It Works
The strategy follows a straightforward principle:
✅ When funding rates become extremely negative (≤ -2.00%) with volume confirmation, it generates LONG signals
✅ When funding rates become extremely positive (≥ +2.00%) with volume confirmation, it generates SHORT signals
This approach capitalizes on market imbalances, as extreme funding rates often indicate market sentiment reaching unsustainable levels – creating potential reversal opportunities.
🧠 Trading Logic
🎯 Signal Generation: The indicator monitors funding rates and volume changes to identify potential entry points
🎯 Entry Conditions: Triggers entries when funding rates cross your specified thresholds with volume confirmation
🚪 Exit Strategy: Closes positions when funding rates normalize or when take profit/stop loss levels are reached
🛡️ Risk Management: Includes options for trailing stops, fixed take profit, and stop loss levels
🔥 Perfect For
💹 Cryptocurrency futures traders
🔍 Market sentiment analysts
⚙️ Traders focusing on derivatives markets
🚀 Anyone looking to capitalize on funding rate market mechanics
🚀 Getting Started
Simply add the indicator to your chart, adjust the thresholds to match your preferred risk level, and start monitoring for signals.
🖥️ The clean visual interface displays current funding rates, position status, and profit information at a glance.
Advance Trading StrategyStrategy Description: Advance Trading Strategy uses:
Fast (12) & Slow (21) EMAs for trend determination via crossovers.
ADX (14) with manual smoothing to confirm trend strength; threshold settable (default 20).
ATR-based stop-loss and take-profit levels (multipliers configurable).
Visual signals: BUY/SELL labels on crossover when ADX
HFT Breakpoint (V1)HFT Strategy for Futures and Stocks.
Market Making, Momentum Ignition, Order Anticipation
Lets me know if you want to collaborate on this strategy!
Money Supply - Growth (Saygın/Ichizo)True Inflation-Adjusted Value - Indicator Explanation
This indicator estimates a "true" inflation-adjusted asset price by comparing the growth in money supply against real economic growth.
Data Sources:
M2 Money Supply (United States) → FRED:M2SL
Gross Domestic Product (GDP) (United States) → FRED:GDP
Calculation Logic:
True inflation is approximated by Money Supply Growth - Real GDP Growth.
If the money supply expands faster than the economy, the excess is considered "real inflation."
The asset’s original price is then adjusted based on this cumulative inflation estimate.
Current Scope:
The indicator uses only U.S. macroeconomic data (M2 and GDP) because U.S. data is the most reliable and frequently updated on TradingView.
Other countries' data (such as Turkey or Europe) are not included due to limited or inconsistent availability.
Important Notes:
The indicator automatically works on any asset (coin, stock, forex, etc.).
Recommended timeframes are , 1D, 1W or more because macroeconomic data updates monthly.
At intraday timeframes below 4H, the calculations may become unreliable and a warning will appear.
Summary: This provides a rare and realistic perspective on an asset’s "true" valuation by filtering out inflation distortions caused by monetary expansion.
Real True Value Adjusted - Saygın/IchizoOption
CPI = Inflation-adjusted asset price (CPI only)
M2= Money supply adjusted asset price (M2 only)
CPI + M2= Inflation + Money Printing adjusted price (very pure)
Gold Asset price compared to Gold price (XAUUSD)
None Original raw asset price
Works on ANY asset (coin, stock, forex) automatically.
Recommended timeframe: 4H, 1D, 1W (because CPI and M2 are monthly updated).
Extremely rare and powerful perspective for true valuation.
Quarterly Fundamentals Table by GauravThis Pine Script v3 overlay paints a compact, six‐column table in the top‐right of your chart that begins with your stock’s market capitalization and sector/industry, then lays out quarterly fundamentals—Sales, Sales QoQ%, PAT, PAT QoQ% and OPM%—across the most recent four fiscal quarters (dynamically labeled by month and year). It pulls data via request.financial(), formats large numbers into lakhs/crores, calculates quarter‐over‐quarter growth, and sizes text for clarity, giving swing traders an at‐a‐glance view of key fundamental trends alongside price action.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
[Kpt-Ahab] Simple AlgoPilot Riskmgt and Backtest Simple AlgoPilot Riskmgt and Backtest
This script provides a compact solution for automated risk management and backtesting within TradingView.
It offers the following core functionalities:
Risk Management:
The system integrates various risk limitation mechanisms:
Percentage-based or trailing stop-loss
Maximum losing streak limitation
Maximum drawdown limitation relative to account equity
Flexible position sizing control (based on equity, fixed size, or contracts)
Dynamic repurchasing of positions ("Repurchase") during losses with adjustable size scaling
Supports multi-stage take-profit targets (TP1/TP2) and automatic stop-loss adjustment to breakeven
External Signal Processing for Backtesting:
In addition to its own moving average crossovers, the script can process external trading signals:
External signals are received via a source input variable (e.g., from other indicators or signal generators)
Positive values (+1) trigger long positions, negative values (–1) trigger short positions
This allows for easy integration of other indicator-based strategies into backtests
Additional Backtesting Features:
Selection between different MA types (SMA, EMA, WMA, VWMA, HMA)
Flexible time filtering (trade only within defined start and end dates)
Simulation of commission costs, slippage, and leverage
Optional alert functions for moving average crossovers
Visualization of liquidation prices and portfolio development in an integrated table
Note: This script is primarily intended for strategic backtesting and risk setting optimization.
Real-time applications should be tested with caution. All order executions, alerts, and risk calculations are purely simulation-based.
Explanation of Calculations and Logics:
1. Risk Management and Position Sizing:
The position size is calculated based on the user’s choice using three possible methods:
Percentage of Equity:
The position size is a defined fraction of the available capital, dynamically adjusted based on market price (riskPerc / close).
Fixed Size (in currency): The user defines a fixed monetary amount to be used per trade.
Contracts: A fixed number of contracts is traded regardless of the current price.
Leverage: The selected leverage multiplies the position size for margin calculations.
2. Trade Logic and Signal Triggering:
Trades can be triggered through two mechanisms:
Internal Signals:
When a fast moving average crosses above or below a slower moving average (ta.crossover, ta.crossunder). The type of moving averages (SMA, EMA, WMA, VWMA, HMA) can be freely selected.
External Signals:
Signals from other indicators can be received via an input source field.
+1 triggers a long entry, –1 triggers a short entry.
Position Management:
Once entered, the position is actively managed.
Multiple take-profit targets are set.
Upon reaching a profit target, the stop-loss can optionally be moved to breakeven.
3. Stop-Loss and Take-Profit Logic:
Stop-Loss Types:
Fixed Percentage Stop:
A fixed distance below/above the entry price.
Trailing Stop:
Dynamically adjusts as the trade moves into profit.
Fast Trailing Stop:
A more aggressive variant of trailing that reacts quicker to price changes.
Take-Profit Management:
Two take-profit targets (TP1 and TP2) are supported, allowing partial exits at different stages.
Remaining positions can either reach the second target or be closed by the stop-loss.
4. Repurchase Strategy ("Scaling In" on Losses):
If a position reaches a specified loss threshold (e.g., –15%), an automatic additional purchase can occur.
The position size is increased by a configurable percentage.
Repurchases happen only if an initial position is already open.
5. Backtesting Control and Filters:
Time Filters:
A trading period can be defined (start and end date).
All trades outside the selected period are ignored.
Risk Filters: Trading is paused if:
A maximum losing streak is reached.
A maximum allowed drawdown is exceeded.
6. Liquidation Calculation (Simulation Only):
The script simulates liquidation prices based on the account balance and position size.
Liquidation lines are drawn on the chart to better visualize potential risk exposure.
This is purely a visual aid — no real broker-side liquidation is performed.
Max RR CalculatorAutomatically calculates the maximum RR reached during trade. Entry is at the candle close. There is an option available that takes another trade after getting stopped out on the next candle that is in same bias as first trade.
(If the first trade is a long and gets stopped out, then the second trade will wait until the next up candle to enter long again)
TradeTrackerLibrary "TradeTracker"
Simple Library for tracking trades
method track(this)
tracks trade when called on every bar
Namespace types: Trade
Parameters:
this (Trade) : Trade object
Returns: current Trade object
Trade
Has the constituents to track trades generated by any method.
Fields:
id (series int)
direction (series int) : Trade direction. Positive values for long and negative values for short trades
initialEntry (series float) : Initial entry price. This value will not change even if the entry is changed in the lifecycle of the trade
entry (series float) : Updated entry price. Allows variations to initial calculated entry. Useful in cases of trailing entry.
initialStop (series float) : Initial stop. Similar to initial entry, this is the first calculated stop for the lifecycle of trade.
stop (series float) : Trailing Stop. If there is no trailing, the value will be same as that of initial trade
targets (array) : array of target values.
startBar (series int) : bar index of starting bar. Set by default when object is created. No need to alter this after that.
endBar (series int) : bar index of last bar in trade. Set by tracker on each execution
startTime (series int) : time of the start bar. Set by default when object is created. No need to alter this after that.
endTime (series int) : time of the ending bar. Updated by tracking method.
status (series int) : Integer parameter to track the status of the trade
retest (series bool) : Boolean parameter to notify if there was retest of the entry price
ATR Trailing Stop Loss (Long & Short)This script provides a simple yet effective trailing stop loss system based on the Average True Range (ATR). It dynamically plots both long-side and short-side trailing stop levels on the price chart, making it suitable for discretionary traders, algorithmic developers, and intraday scalpers who want visual guidance on dynamic risk levels.
🔍 What It Does
Calculates ATR-based trailing stop levels:
Long Stop = Close - ATR × Multiplier
Short Stop = Close + ATR × Multiplier
Plots these levels as overlay lines directly on the chart
Colors the background red when price drops below the long stop (possible exit for longs) and blue when price exceeds the short stop (possible exit for shorts)
⚙️ Customizable Settings
Lookback Period for ATR: Change the sensitivity of the ATR calculation
ATR Multiplier: Adjust how tight or loose the trailing stop should be
Line Color: Personalize how the stop lines look on your chart
🧠 Why Use ATR for Stops?
The Average True Range (ATR) is a volatility-based indicator that helps dynamically adapt stop-loss levels to current market conditions. This avoids overly tight stops in volatile markets and too-loose stops during quiet sessions. This script respects those changes in market rhythm by adjusting trailing stops accordingly.
✅ Ideal For:
Futures, crypto, FX, and Equities
Traders using trend-following systems or discretionary price action setups
Anyone wanting a volatility-adjusted trailing exit instead of fixed dollar stops
📌 How to Use It
Add this script to your chart
Adjust the ATR length and multiplier based on your timeframe and asset
Watch for price interaction with the stop levels to consider manual exits or trailing logic
Combine with confirmation signals, trend indicators, or volume analysis for even better results
PAINEL PRO COMPLETO - VERSAO FINAL📘 Indicator Documentation — TradingView Publication
📌 Name
PRO PANEL COMPLETE – FINAL VERSION
📌 Description
This indicator was developed for professional-level intraday monitoring with a focus on automation, market structure, and strategic management of positions.
It provides a comprehensive control panel on-screen and integrates technical signals, volatility, risk management, and real-time results tracking — especially useful for day trading on indices such as USATEC (Nasdaq CFD) or NQ (futures).
🧠 Logic and Features
✅ Automatic Entry Conditions (Confluences):
Price above/below EMA21
Volatility filter (High / Medium / Low with optional override)
ADX > threshold and directional trend
RSI overbought/oversold filters
✅ Stop Loss & Take Profit Logic:
Calculated from user-defined percentage of account balance
Converted to price using actual syminfo.pointvalue
Values are fixed at entry and do not recalculate
✅ Trade Management:
One active trade at a time
SL or TP triggers exit
Gain/Loss counters reset daily (with optional manual override)
✅ Full Graphical Panel:
22 lines of information including:
Trend (ADX), Volatility
EMA21 / EMA50 / EMA200 Position & Zone
RSI + status
Trade in progress (entry, SL, TP)
Daily PnL: gains, losses, net
Operation counters (Buy/Sell)
Live operation result (dynamic, in pts and USD)
Reset schedule + last update time
🔧 Custom Inputs:
Trading Hours (custom time range and timezone)
Balance for SL/TP calculation
SL/TP as percentage
EMA zone threshold (%)
ADX and RSI configuration
Color customization
Manual override controls
💡 Additional Notes:
SL/TP values are computed once at trade entry, avoiding the problem of moving stops/profits during open trades.
Designed to work well with 1m, 5m, and 15m timeframes.
Point value automatically adapts to the symbol using syminfo.pointvalue.
Sniper_GPt con Probabilità Aggiustata + Stop/Take Dinamico📈 Sniper_GPt with Adjusted Probability + Dynamic Stop/Take
This strategy combines advanced technical analysis with a dynamic risk management system, based on an adjusted probability calculated from RSI, ATR, and Volume.
A trade signal is triggered only when the probability exceeds a user-defined threshold. Entry is based on the candle's direction and the probability signal.
🔹 Key Features:
Adjusted probability (%) algorithm.
Dynamic Stop Loss and Take Profit levels based on ATR and volatility.
Filter to prevent opposite positions from being open simultaneously.
Configurable pyramiding support.
Real-time display of Entry/Stop/Take levels.
Compatible with webhook alerts for integration with external platforms like Bybit.
✅ Ideal for automated strategies and external trading system integration.
Choch ScreenerHello, this indicator is designed to detect CHoCHs (Change of Character) across different pairs, display them on the chart, and provide alerts when they occur.
As you may know, some terms can have different meanings for different traders. For this reason, I’m sharing a sample visualization of the formula at the core of this indicator below.
When the specified structure occurs and the trigger level is breached, you will receive a notification via the screener.
By changing the " Length " value in the settings, you can achieve different results.
Length: the length used in pivot point (fractal) calculations. For example, if the value is 3, a pivot low must be lower than the 3 candles on both the left and right sides.
You can adjust the pairs that will appear in the screener from the settings tab. It can be used with stocks , forex , crypto , and various other types of pairs.
You can also customize the color settings according to your chart preferences.
To receive real-time alerts, simply click on the three dots next to the indicator and select the "Set Alert" option. You will be notified whenever a bullish or bearish CHoCH structure forms in any of the active pairs.
Global Liquidity Index with Dynamic TimeframeThis is the M2 Global Money supply indicator with added functionality of moving the graph sideways (increment of days) in order to find a potential price correlation with any chart
[iQ]PROMEGAiQ v33PROMEGAiQ v33 ( PROMEGAv33)
A powerful composite indicator suite offering insights into momentum, volatility, and order flow within a dedicated pane, plus optional chart overlays.
Key Components: Presents a blended "Master Composite Signal" (Fractal + MDCO), statistical volatility bands, an Order Flow oscillator, and selectable MKR smoothing.
Purpose: Useful for assessing trend strength, spotting potential exhaustion zones using the bands, analyzing volume-driven pressure, and optionally viewing standard MAs/Bands on the main chart.
Good For: Traders seeking a multi-dimensional perspective from a single indicator pane, combining different analytical approaches for potentially higher confluence signals.
MARKETMAKERiQ
[Stop!Loss] ADR Signal ADR Signal - a technical indicator located in a separate window, which displays by default the 80%-level , as well as the 100%-level of the average daily range (ADR) for the last 10 days and compares it with the current intraday range. The indicator helps not only with the use of a mathematical-statistical method to identify a potential reversal at the moment during intraday trading, but can also serves as an effective assistant in risk management.
👉 Basic mechanics of the indicator
Firstly, this indicator tracks the performance of the standard ATR indicator on the daily chart, in other words, ADR (Average Daily Range).
Important ❗️The ATR (Average True Range) indicator was created by J. Welles Wilder Jr. He first introduced ATR in his book "New Concepts in Technical Trading Systems", published in 1978. Wilder developed this indicator to measure market volatility to help traders estimate the range of price movements. This indicator is built into TradingView, more details can be found by link: www.tradingview.com
Like ATR , ADR calculates the average true range for a specified period. In this case, the distance in points from the maximum of each day to its minimum is calculated, after which the arithmetic mean is calculated - this is ADR .
👉 Visualization
ADR Signal is located in a separate window on the chart and has 3 levels:
1) "ADR level" (green line) - the same parameter, the calculations of which are briefly described above. There is 100%-level of ATR on the daily chart (ADR).
2) "Current level" (red line) - this is the current price passage within the day, calculated in points. At the start of a new day, this parameter is reset. Therefore, in the indicator window, this line has sharp drops at the start of a new trading day: "A new trading day - the instrument's power reserve is renewed again".
3) "Signal level" (blue line) - this is an individually customized value that demonstrates a certain part of the ADR parameter.
👉 Inputs
1) - is responsible for the ATR indicator period, the value of which will always be calculated on the daily chart. The default value is "10", that is, ATR is calculated for the last 10 days (not including the current one).
2) - signal level (in %). The default value is "0.8", that is, 80%-level of the ADR parameter (set earlier) is calculated.
👉 Style
1) - by default, this level is colored "blue".
2) - by default, this level is colored "red".
3) - by default, this level is colored "green".
👉 How to use this indicator
Important❗️ The two methods of the use of the ADR Signal indicator described below will be most effective when trading intraday (which is highlighted quite well below), so it is more logical to use the indicator information on time periods H1 and below.
1) Identifying potential reversals during intraday trading:
The ADR Signal indicator can be used as a potential individual reversal strategy.
Important ❗️It should be noted that using it in it without additional confirming analysis tools will be a rather aggressive trading approach. Therefore, it is best to support the entry point in particular with other methods.
In this case, the crossing of the red line (the number of points passed within the current day, that is, from the minimum of the current day to its maximum) and the blue line (color of the Signal level based on the default settings), indicates that the trading instrument has passed 80% (based on the default settings for the "Signal level") of its average distance from the maximum to the minimum over the past 10 days (based on the default settings for the "ADR Length"). Such a situation in the context of the mathematical-statistical approach indicates a probable reversal, since the "power reserve" of this instrument is mostly exhausted, so one can expect with a higher probability, at least, a price stop and possibly a reversal. In case of crossing of the red line and the green one (ADR level), it says again that based on the mathematical-statistical approach, this trading instrument has completely exhausted its intraday "power reserve". In this situation, a stop or reversal of the price will be even more likely.
Of course, using the "Signal level" parameter, one can filter out even more reliable situations for potential price reversals within a day, namely, by specifying, for example, 1.5 in the field of this parameter. Under such conditions, in the case of crossing the red and blue lines (based on the default style settings), to say that the trading instrument has passed 150% of its average distance over the last 10 days (based on the default style settings "ADR length"). In this case, the probability of a stop or reversal of the price increases even more.
2) Use in risk management:
In terms of risk management, this indicator is more applicable to open trades. For example, if one had an open Buy-position (especially if it is an intraday trade) and the price has raised significantly during the day, then the crossing of the red line with the blue line , and especially the red line with the green line , may indicate that the price will most likely stop growing, since the "power reserve" is almost or completely exhausted for this instrument within the current day. In this case, one can, at a minimum, move the trade to breakeven or even partially fix the profit.
We will continue to discuss the methods of using this indicator and strategies based on it here. And we are always waiting for your reactions and feedback on this topic 💬.
Thank you for your support 🚀
AIWAY - Consensus AI MTF Analysis
HOW-TO:
AIWAY – Consensus AI MTF Analysis
Overview
A versatile tool designed for all traders across Forex, Indices, Commodities, Stocks, and Cryptocurrencies. It employs a multi-timeframe analysis framework, integrating a suite of technical indicators with an AI-driven weighting system to deliver actionable market insights.
How It Works
Analyzes data across user-configurable timeframes, ranging from 5 minutes to 1 week (e.g., 5m, 10m, 15m, 30m, 60m, 120m, 240m, 480m, 1D, 1W). It calculates signals from a comprehensive set of technical indicators, including:
• Moving Averages (MA): Supports SMA, EMA, WMA, DEMA, and TEMA to identify trend direction.
• Stochastic RSI: Assesses momentum and overbought/oversold conditions.
• Relative Strength Index (RSI): Evaluates price strength for potential reversals.
• MACD: Tracks trend momentum via fast and slow EMA crossovers.
• Divergence Detection: Identifies price-RSI discrepancies for reversal signals.
• SMA Cross: Monitors 50-period and 200-period SMA crossovers for trend shifts.
• On-Balance Volume (OBV): Confirms trends through volume flow analysis.
• Ichimoku Cloud: Provides trend and support/resistance insights.
• Supertrend: Determines trend direction using ATR-based calculations.
These signals are aggregated into three scores:
• Short-Term Score: Derived from shorter timeframes (e.g., 5m to 240m), ideal for day trading.
• Medium-Term Score: Based on mid-range timeframes (e.g., 360m to 1D), suited for swing trading.
• Long-Term Score: Calculated from longer timeframes (e.g., 2D to 1W), tailored for position trading.
Consensus Score:
• -100 to -30: Strong bearish bias (consider shorts/exit longs).
• -30 to +30: Neutral/consolidation (reduce position size).
• +30 to +100: Strong bullish bias (consider longs/exit shorts).
The aggregation process leverages AI-optimized weights, which are dynamically adjusted to enhance signal reliability based on current market conditions.
AI Module: Functionality and Impact
The AI module is the cornerstone of adaptability, utilizing reinforcement learning to optimize indicator performance. Key features include:
• Dynamic Weight Adjustment: Each indicator (e.g., MA, RSI, MACD) is assigned a weight (0.1 to 5.0), which is updated based on its ability to predict the next closing price. This is achieved through a linear regression model using the past 200 closing prices.
• Volatility-Adaptive Learning Rate: The learning rate scales with market volatility, calculated as the daily Average True Range (ATR) divided by the daily close price. This ensures the indicator remains responsive in both trending and choppy markets.
• Mutation for Exploration: If a term score (short, medium, or long) fails to improve, weights are mutated by a factor influenced by the learning rate, introducing variability to discover better configurations.
• Predictive Feedback Loop: The module compares predicted closes to actual closes, rewarding or penalizing weights to prioritize indicators that perform well under current conditions.
This AI-driven approach enhances the indicator’s robustness, as it continuously adapts to market dynamics, potentially reducing false signals and improving decision-making compared to static indicator setups.
Reading and Interpreting the Data
Output table is structured as follows:
• Columns: Include the timeframe and signals for each indicator (e.g., MA Signal, Stochastic RSI, RSI Signal, MACD, Divergence, SMA Cross, OBV, Ichimoku, Supertrend).
• Rows: Represent each selected timeframe, displaying the corresponding indicator signals or values.
• AI Consensus Scores: Shown at the table’s top for short-term, medium-term, and long-term analyses, expressed as numerical values (e.g., 45.67).
• Scale Visualization: A separate table maps these scores onto a -100 to 100 scale, divided into 20 segments. A marker (◉) indicates the score’s position, with colors transitioning from bearish (red) to bullish (green).
Color Coding:
• Green: Bullish signals (e.g., price above MA, RSI > 50).
• Red: Bearish signals (e.g., price below MA, RSI < 50).
• Gray: Neutral signals (e.g., MACD histogram near zero).
• Special Cases: Overbought (red) for Stochastic RSI/RSI > 70; oversold (green) for values < 30.
Traders can interpret the data by focusing on the consensus scores and scale to assess overall market sentiment. For example, a medium-term score of +60 in the bullish region suggests strong upward momentum over days, while the table’s indicator signals provide detailed context for confirmation.
Benefits for Traders Across Assets
AIWAY provides significant advantages for traders across all markets:
• Multi-Timeframe Perspective: Enables traders to identify trend alignments (e.g., bullish signals across 4H and 1D) or divergences (e.g., short-term bullish, long-term bearish), catering to day, swing, and position trading strategies.
• Replaces 9+ standalone indicators with one AI-optimized workflow.
• Identifies divergences across timeframes most humans miss (e.g., hourly bullish + weekly bearish = caution).
• AI-Enhanced Accuracy: The adaptive weighting system prioritizes reliable indicators, potentially reducing noise and improving signal quality in volatile or trending markets.
• Universal Applicability: The use of standard technical indicators ensures compatibility with Forex, Indices, Commodities, Stocks, and Crypto, making it versatile for diverse portfolios.
• Visual Clarity: The color-coded table and scale allow traders to quickly assess market conditions, facilitating rapid decision-making under time constraints.
• Timeframe-Specific Insights: Short-term scores support intraday trading, medium-term scores aid swing trading, and long-term scores guide long-term investments.
Practical Applications
• Trend Confirmation: A bullish MA and Supertrend on the 4H timeframe, paired with a positive medium-term score, may confirm an uptrend for swing traders.
• Reversal Detection: Divergence signals alongside oversold Stochastic RSI on lower timeframes can highlight potential reversals for day traders.
• Cross-Asset Trading: Traders can apply indicator to Crypto for short-term volatility plays or to Stocks for long-term trend analysis, leveraging its universal design.
Usage on TradingView
To use AIWAY on TradingView:
1. Search for “AIWAY – Consensus AI MTF Analysis” in the indicator library and add it to your chart.
2. Set the chart to the 4-hour timeframe to view the table and consensus scores.
3. Use the table and scale to assess market sentiment, cross-referencing with price action for confirmation.
AIWAY – Consensus AI MTF Analysis is a powerful tool for traders seeking a comprehensive, AI-enhanced approach to market analysis. Its multi-timeframe framework, adaptive AI module, and clear visual output make it an invaluable asset for navigating Forex, Indices, Commodities, Stocks, and Crypto markets. By providing actionable insights across short, medium, and long terms, AIWAY empowers traders to make informed decisions with confidence.
Disclaimer
The AIWAY indicator is likely for educational purposes only and not investment advice. Trading with it seems to involve high risk, with potential for total loss. Past performance probably does not predict future results; use at your own risk.
NIG Probability TableNormal-Inverse Gaussian Probability Table
This indicator implements the Normal-Inverse Gaussian (NIG) distribution to estimate the likelihood of future price based on recent market behavior.
📊 Key Features:
- Estimates the parameters (α: tail heaviness, β: skewness, δ: scale, μ: location)
of the NIG distribution using a sliding window over log returns.
- Uses a numerically approximated version of the modified Bessel function (K₁)
to calculate the NIG probability density function (PDF).
- Normalizes the total probability across all bins to ensure the values are interpretable.
- Displays a dynamic probability table showing the chance of future returns falling into each bin.
⚠️ Notes:
- This is a real-time approximation. The Bessel function and posterior inference are simplified.
- Tail probabilities and shape parameters are sensitive to the window size and input settings.
- Useful for risk analysis, option overlays, and strategy filters.
secret by prakash (quant)By using this indicator you can find top and bottom of market remember if price crosses below +2 from up to down then initiate down side trade and vice versa for upside trade. this is build for doing trade on the behalf of quant data. use if you understand quantitative analysis.
HTF 4-Candle ViewerFractal Model for TTrades and Kane. This indicator allows you to see the previous 3 candles on a HTF aswell as the current one forming.
