Quantura - Average Intraday Candle VolumeIntroduction
โQuantura โ Average Intraday Candle Volumeโ is a quantitative visualization tool that calculates and displays the average traded volume for each intraday time position based on a user-defined historical lookback period. It allows traders to analyze recurring intraday volume patterns, identify high-activity sessions, and detect liquidity shifts throughout the trading day.
Originality & Value
This indicator goes beyond standard volume averages by normalizing and aligning volume data according to the time of day. Instead of simply smoothing recent bars, it builds an intraday volume profile based on historical daily averages, enabling users to understand when during the day volume typically peaks or drops.
Its originality and usefulness come from:
Converting standard volume data into time-aligned intraday averages.
Visualization of historical intraday liquidity behavior, not just total daily volume.
Dynamic scaling using normalization and transparency to emphasize active and quiet periods.
Optional day-separator lines for precise intraday structure recognition.
Gradient-based coloring for better visual interpretation of volume intensity.
Functionality & Core Logic
The indicator divides each day into discrete intraday time positions (based on chart timeframe).
For each position, it stores and updates historical volume values across the selected number of days.
It calculates an average volume per time position by aggregating all stored values and dividing them by the number of valid days.
The result is plotted as a continuous histogram showing typical intraday volume distribution.
The bar colors and transparency dynamically reflect the relative intensity of volume at each point in the day.
Parameters & Customization
Number of Days for Averaging: Defines how many past days are included in the volume average calculation (default: 365).
UTC Offset: Allows synchronization of intraday cycles with local or exchange time zones.
Base Color: Sets the main color for plotted volume columns.
Color Mode: Choose between โGradientโ (transparency dynamically adjusts by intensity) or โNormalโ (fixed opacity).
Day Line: Toggles dashed vertical lines marking the start of each trading day.
Visualization & Display
Volume is plotted as a series of histogram bars, each representing the average volume for a specific intraday time position.
A gradient color mode enhances readability by fading lower-intensity areas and highlighting high-volume regions.
Optional day-separator lines visually segment historical sessions for easy reference.
Works seamlessly across all chart timeframes that divide the 24-hour day into regular bar intervals.
Use Cases
Identify when trading activity typically peaks (e.g., session opens, news windows, or overlapping markets).
Compare current intraday volume to historical averages for early anomaly detection.
Enhance algorithmic or discretionary strategies that depend on volume-timing alignment.
Combine with volatility or price structure indicators to confirm market activity zones.
Evaluate session consistency across different time zones using the UTC offset parameter.
Limitations & Recommendations
The indicator requires intraday data (below 1D resolution) to function properly.
Volume behavior may vary across brokers and assets; adjust averaging period accordingly.
Does not predict price movement โ it provides volume-based context for analysis.
Works best when combined with structure or momentum-based indicators.
Markets & Timeframes
Compatible with all intraday markets โ including crypto, Forex, equities, and futures โ and all intraday timeframes (from 1 minute to 4 hours). It is particularly valuable for analyzing assets with continuous 24-hour trading activity.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingViewโs Script Publishing and House Rules. It provides a clear explanation of the indicatorโs originality, logic, and purpose, without any unrealistic performance or predictive claims.
Moving Averages
Quantura - Quantified Price Action StrategyIntroduction
โQuantura โ Quantified Price Action Strategyโ is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices.
Originality & Value
The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of:
Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity.
Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs.
RSI filter: Can be set to normal or aggressive, confirming momentum before trades.
Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies.
EMA filter: Aligns trades with the broader market trend.
Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions.
This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow.
Functionality & Indicators
Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap.
Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection.
RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness.
FVG filter: Adds validation by requiring price interaction with inefficiency zones.
EMA filter: Ensures longs are above EMA and shorts below EMA.
Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status.
Parameters & Customization
Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options.
Liquidity filter: Mode (Run or Sweep), display, and swing length.
RSI: Enable/disable, length, and style (normal or aggressive).
Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles.
EMA: Length, enable/disable, and visualization.
Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing.
Visualization: Custom candle coloring and optional overlay for better clarity.
Default Properties (Strategy Settings)
Initial Capital: 10,000 USD
Position Size: 100% of equity per trade (backtest default)
Commission: 0.1%
Slippage: 1
Pyramiding: 0 (only one position at a time)
Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1โ5% of account equity per trade, sometimes up to 10%.
Backtesting & Performance
Backtests on XPTUSD over 2.5 years with the default settings produced:
164 trades
67.68% win rate
Profit factor: 1.7
Maximum drawdown: 27.81%
These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes.
Risk Management
Three configurable take-profit levels with percentage allocation.
Initial stop-loss based on user-defined percentage.
Dynamic stop-loss that adjusts with market movement.
Break-even logic that shifts stops to entry after predefined gains.
Position sizing based on risk percentage of equity.
This framework allows both conservative and aggressive configurations, depending on user preference.
Limitations & Market Conditions
Works best in volatile and liquid markets such as crypto, metals, indices, and FX.
May produce false signals in low-volume or sideways environments.
Unexpected news or macro events can override technical conditions.
Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use.
Usage Guide
Add โQuantura โ Quantified Price Action Strategyโ to your chart.
Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe.
Configure risk management: take-profits, stop-loss, and risk-per-trade percentage.
Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions.
Optimize parameters before applying the strategy to different markets.
Author & Access
Developed 100% by Quantura. Published as an Invite-Only script.
Important
This description complies with TradingViewโs publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
9 & 20 EMA Cross Alert 9 and 20 EMA will be put on chart. Bull and bear signal will appear when EMAs cross. Alert is available when EMAs cross.
Cloud and Table - Ostinato TradingMain indicator of Ostinato Trading, the moving averages cloud and table. You can superpose various moving averages, bollinger bands and their color fill. Additionaly the table is used to plot the distance from the price to moving averages, the ATR value, the stop loss ... You can also plot a bulls eyes of SL and TP in points to visualise it on the chart.
PSAR with ATR Trailing Stop + SMA Filter๐ Strategy Overview: PSAR + 6รATR Trailing Stop with SMA Filter
This strategy is built around the principle of โCut the losers, let the winners runโ โ a disciplined, trend-following approach that combines the Parabolic SAR indicator with dynamic risk management and a Simple Moving Average (SMA) trend filter.
๐ Strategy Logic
Trend Filter Trades are only taken in the direction of the prevailing trend, defined by a user-selected SMA (default: 100).
โ
Long trades only when price is above the SMA
โ
Short trades only when price is below the SMA
Entry Signal: A trade is triggered when the Parabolic SAR flips to the opposite side of the price bars, signaling a potential trend reversal.
Stop Loss: The stop loss is dynamically set at 6รATR from the entry price. This adapts to market volatility and is recalculated every bar โ effectively acting as a trailing stop.
Exit Logic: There is no fixed take profit. The trade remains open until the trailing stop is hit โ allowing winners to run and losers to be cut quickly.
Risk Management: Each trade risks 0.5% of total equity, ensuring consistent position sizing and capital preservation.
๐ Visual Elements
PSAR dots mark trend direction changes
SMA line shows the broader trend filter
Trailing stop crosses (with 50% opacity) indicate the current stop level without cluttering the chart
โ๏ธ Customizable Inputs
PSAR parameters: Start, Increment, Maximum
ATR length and multiplier
SMA length
Risk percentage per trade
This strategy is ideal for traders who want to stay aligned with the trend, automate disciplined exits, and avoid emotional decision-making. Clean, simple, and powerful.
Wishing you calm and successful trades!
Close Below MAClose Below MA (SMA or EMA)
This indicator helps traders quickly identify when a candle closes below a moving average โ a classic signal of potential bearish momentum or a shift in trend.
You can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) from a convenient dropdown menu, and customize the MA length to fit your strategy.
When a candle closes below the selected MA, a small black arrow appears above the bar, and an alert can be triggered for instant notifications.
Features:
Choose between SMA or EMA.
Adjustable MA length.
Visual signal (arrow) when the close is below the selected MA.
Built-in alert support
Usage Ideas:
Spot early signs of a bearish reversal.
Use alerts for automated trade monitoring.
XAUUSD Best Strategy - Buy/Sell SignalsThe best strategy to trade XAUUSD (gold) often depends on your trading style and market conditions, but several high-probability approaches are recommended by top traders and industry experts for both scalping and swing trading.โ
Trend-Following Using EMAs
Use a combination of 9-period and 21-period Exponential Moving Averages (EMA) on the 5-minute or 15-minute chart.
Enter long when the 9 EMA crosses above the 21 EMA, especially when overall trend aligns with higher timeframes (such as H1 or H4).
Confirm entries with an RSI value above 50 for buys (or below 50 for sells).
Set stop loss just below the latest swing low for long positions.
Ideal for fast-moving, trending sessions (London and New York overlap).โ
Quantura - Quantitative AlgorythmIntroduction
โQuantura โ Quantitative Algorithmโ is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator.
Originality & Value
Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously:
RSI entry triggers confirm overbought/oversold reversals.
Market structure on a higher timeframe confirms trend direction.
Order block detection highlights zones of concentrated supply and demand.
Premium/Discount zones identify potential over- and undervaluation.
HTF EMA provides trend confirmation.
Optional candlestick patterns strengthen reversal or continuation signals.
An optional correlation filter compares the main asset to a reference instrument.
This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation.
Functionality & Indicators
Entry trigger: RSI exits from extreme zones.
Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction.
Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted.
Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit.
Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status.
Parameters & Customization
Timeframes: Independent HTF and LTF selection.
Trading direction: Long / Short / Both.
Session and weekday filters.
RSI length and thresholds.
Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation.
Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit.
Visuals: Toggle signals, candles, dashboard, custom colors.
Default Properties (Strategy Settings)
Initial Capital: 100,000 USD
Position Size: 15% of equity per trade
Commission: 0.25%
Slippage: enabled
Pyramiding: 0 (one position at a time)
Note: The position sizing of 15% equity per trade is intentionally set for backtesting demonstration. In real trading, risking this much is considered aggressive. Most traders prefer to risk 1-5% of equity, and rarely above 10%.
Backtesting & Performance
Backtests on BTCUSD (2 years) with the above defaults showed:
112 trades
Win rate: 40%
Profit factor: 1.4
Maximum drawdown: 34%
These results illustrate how the confluence model behaves, but they are not predictive of future performance . The trade sample size (72 trades) is below the 100+ usually recommended for statistical robustness. Users should re-test with their own preferred symbols, settings, and timeframes.
Risk Management
ATR-based stops and targets scale with volatility.
Commission and slippage are included by default for realistic modeling.
Opposite-signal exit helps capture trend reversals.
Session-end exit can close intraday positions before illiquid hours.
Breakeven option protects profits when available.
Although the default allocation uses 15% per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%).
Limitations & Market Conditions
Performs best in volatile, liquid markets (e.g., crypto).
May struggle in prolonged sideways markets with low volatility.
News events and fundamentals outside user inputs can override signals.
Backtests below 100 trades should be considered exploratory, not statistically conclusive.
Usage Guide
Add โQuantura โ Quantitative Algorithmโ to your chart in strategy mode.
Select HTF and LTF timeframes, trading direction, and session filters.
Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume).
Set sentiment and analysis bias in fundamental settings.
Adjust ATR multipliers and exits.
Review buy/sell signals and analyze performance in the Strategy Tester.
Author & Access
Developed 100% by Quantura . Distributed as an Invite-Only script . Details are provided in the Authorโs Instructions field.
Important: This description complies with TradingViewโs Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability.
๐น Core Logic
EMA Fast & Slow Crossover โ Identifies short-term and long-term trend shifts.
RSI Confirmation โ Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds.
ADX Filter โ Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum.
๐น Key Features
Visual Buy/Sell triangles directly on the chart.
Customizable inputs for EMA, RSI, and ADX lengths.
Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities).
Optional background highlights for active trade zones.
Alert conditions for both BUY and SELL setups โ ready to use in automated strategies or alert bots.
๐น Recommended Usage
Use Heikin Ashi candles
Works best on 1M - 5M timeframes.
Combine with volume or higher-timeframe trend confirmation for stronger signals.
Price vs 10/50DMA (%) โ single labelThis TradingView script shows how far the current price is from its 10-day and 50-day moving averages (DMAs), expressed as percentages, and displays both values as a single label near the latest candle โ for example, โ+3% vs 10DMA | +8% vs 50DMA.โ You can switch between simple and exponential moving averages using the โUse EMAโ checkbox, and adjust the period lengths in the input panel. To use it, simply copy the code into TradingViewโs Pine Editor, click Add to chart, and youโll see one live label updating each bar along with the plotted 10- and 50-day average lines.
Henry's MA & RSProviding 10 21 50 200 MA and RS rating based on S&P 500, basically for US stocks. Enjoy!
Blavk Terminal By Blavk Core Capitals- Open๐ Blavk Terminal
Multi-Indicator Trend & Momentum Detection System
Overview:
The Blavk Terminal indicator helps traders identify breakout and breakdown zones, market trend direction, and volatility conditions. It combines multiple well-known analytical concepts to generate reliable visual and alert-based trading signals.
๐ Core Concepts
Trend Analysis: Uses layered moving averages (short to long-term) to identify price direction and trend strength.
Momentum Detection: Applies RSI-based logic to highlight potential breakout (bullish) and breakdown (bearish) areas.
Volatility Filter: Integrates ATR-based dynamic ranges to show stop-loss, target, and volatility status, helping traders manage positions more efficiently.
Volume Tracking: Displays both current candle volume and daily cumulative volume to assess participation strength.
โ๏ธ How to Use
On 15-minute charts, it can assist with swing trading and short-term momentum entries.
On daily, it helps with position or long-term holdings by confirming broader trend direction.
Traders can monitor green breakout/breakdown labels, confirm trend bias using moving averages, and use the displayed ATR levels for risk management.
๐ก Conceptual Summary
Blavk Terminal integrates trend-following (moving averages), momentum confirmation (RSI), and volatility control (ATR) into a single tool.
This combination helps identify high-probability opportunities and supports decision-making across both short-term swing trades and long-term positional holds.
โ ๏ธ Disclaimer
This indicator is for educational and analytical purposes only. It does not provide financial advice or guaranteed outcomes. Always backtest and apply risk management before live trading.
@blavkcorecapitals
CDC BACKTEST (MACD) FIX AMOUNT $200k per trade This strategy implements an Exponential Moving Average (EMA) Crossover System designed for backtesting and performance evaluation. EMA 12,26 (MACD)
The trading logic is based on the crossover between two EMAs โ a short-term EMA (12) and a long-term EMA (26) โ which serves as a momentum-based signal for trend identification.
Buy Condition:
A long (buy) position is entered when the 12-period EMA crosses above the 26-period EMA, indicating a potential upward trend or bullish momentum.
Sell Condition:
A position is closed, or a short (sell) position is opened, when the 12-period EMA crosses below the 26-period EMA, signaling a potential downward trend or bearish momentum.
Position Sizing:
Each trade with a fixed position size of 200,000 USD (default), while the starting account balance is set at 400,000 (USD).
Both the fixed trade amount and the initial balance are user-adjustable parameters, allowing flexibility for different risk preferences and portfolio sizes.
coinbot_mr_table์ด ์คํฌ๋ฆฝํธ๋ **"MA ๋ฆฌ๋ณธ(Moving Average Ribbon) ๊ธฐ๋ฐ ์๋๋งค๋งค ์ ๋ต"**์
๋๋ค.
์ด๋ฆ(coinbot_mr_table)์ ๋ชจ๋ ๊ธฐ๋ฅ์ด ์์ฝ๋์ด ์์ต๋๋ค.
coinbot: user_id, exchange, leverage ๋ฑ ์๋๋งค๋งค ๋ด๊ณผ ์ฐ๋ํ๊ธฐ ์ํ ์นํ
(Webhook) ์ ํธ ์ ์ก ๊ธฐ๋ฅ์ด ํฌํจ๋์ด ์์ต๋๋ค.
mr (MA Ribbon): 18๊ฐ(5~90)์ ์ด๋ํ๊ท ์ (EMA ๋๋ SMA)์ด 100 ์ดํ์ ์ ๊ธฐ์ค์ผ๋ก ์ ๋ฐฐ์ด/์ญ๋ฐฐ์ด๋๋์ง๋ฅผ ์์(LIME/RUBI)์ผ๋ก ๊ตฌ๋ถํ์ฌ ์ถ์ธ๋ฅผ ํ๋จํฉ๋๋ค.
table: ์ ๋ต์ ๋ฐฑํ
์คํ
์ฑ๊ณผ(์ด ์น๋ฅ , ์ผ์ผ ์์ต๋ฅ ๋ฑ)๋ฅผ ์ฐจํธ ์์ '๋์ ํต๊ณ'์ '์ผ์ผ ํต๊ณ' ํ
์ด๋ธ๋ก ์๊ฐํํด ์ค๋๋ค.
์ด ์คํฌ๋ฆฝํธ์ ๋งค๋งค ๋ก์ง๊ณผ ์๋๋งค๋งค ์ ํธ์ ๋ํ ์์ธํ ์ค๋ช
์ ํ๊ธ๊ณผ ์์ด๋ก ๊ฐ๊ฐ ์ ๊ณตํด ๋๋ฆฝ๋๋ค.
๐ฐ๐ท ํ๊ธ (Korean)
์ด ์คํฌ๋ฆฝํธ๋ **"MA ๋ฆฌ๋ณธ(Moving Average Ribbon)"**์ ํต์ฌ ์์ง์ผ๋ก ์ฌ์ฉํ๋ ์์ ์๋๋งค๋งค(Autotrade) ์ ๋ต ์ ํธ ์์ฑ๊ธฐ์
๋๋ค.
์ด ์งํ์ ๋ชฉ์ ์ ์ฐจํธ์์ ์ถ์ธ๋ฅผ ์๊ฐ์ ์ผ๋ก ๋ณด์ฌ์ฃผ๋ ๊ฒ์ ๋์ด, ๊ตฌ์ฒด์ ์ธ ๋งค๋งค ์ ํธ(์ง์
, ๋ถํ ์ต์ , ์์ )๊ฐ ๋ฐ์ํ ๋๋ง๋ค JSON ํ์์ ๋ช
๋ น์ด๋ฅผ ์๋๋งค๋งค ๋ด์ผ๋ก ์ ์กํ๋ ๊ฒ์
๋๋ค.
1. ๐ ๋งค๋งค ์ ๋ต: MA ๋ฆฌ๋ณธ ์ถ์ธ ์ถ์ข
์ด ์ ๋ต์ 18๊ฐ์ ๋จ๊ธฐ/์ค๊ธฐ ์ด๋ํ๊ท ์ (5~90)๊ณผ 1๊ฐ์ ์ฅ๊ธฐ ์ด๋ํ๊ท ์ (100)์ ์ฌ์ฉํ์ฌ ์ถ์ธ๋ฅผ ์ ์ํฉ๋๋ค.
100 ์ดํ์ : ์ฅ๊ธฐ ์ถ์ธ๋ฅผ ๊ฐ๋ฅด๋ ๊ธฐ์ค์ (๊ฐ/์ฝ์ ๋๋๋ ๋ถ์๋ น)์
๋๋ค.
18๊ฐ ๋ฆฌ๋ณธ: ์ด ๋ฆฌ๋ณธ๋ค์ด 100 ์ดํ์ ์์์ ๋ชจ๋ ์์น(LIME ์์)ํ๋ฉด '๊ฐ์ธ ์ถ์ธ', ์๋์์ ๋ชจ๋ ํ๋ฝ(RUBI ์์)ํ๋ฉด '์ฝ์ธ ์ถ์ธ'๋ก ํ๋จํฉ๋๋ค.
2. ๐ฆ ์ง์
๋ฐ ์ฒญ์ฐ ์ ํธ
์ด ์ ๋ต์ '์ ํ(Reversing)' ์ ๋ต์
๋๋ค. ์ฆ, ๋กฑ ์ ํธ๊ฐ ๋ฐ์ํ๋ฉด ์ ํฌ์ง์
์ ์ข
๋ฃํ๊ณ ๋กฑ์ผ๋ก ์ง์
ํ๋ฉฐ, ๊ทธ ๋ฐ๋๋ ๋ง์ฐฌ๊ฐ์ง์
๋๋ค. (ํญ์ ๋กฑ ๋๋ ์ ํฌ์ง์
์ ์ ์งํฉ๋๋ค.)
์ง์
์ ํธ (Long):
์ถ์ธ ํ์ : ๋ชจ๋ ๋ฆฌ๋ณธ์ด 100 ์ดํ์ ์์์ '๊ฐ์ธ(LIME)'๋ก ํต์ผ๋ ๋.
์ฌ์ง์
(๋ถํ๊ธฐ): ๊ฐ์ธ ์ถ์ธ ์ค, ๋ฆฌ๋ณธ์ด ์ผ์์ ์ผ๋ก ์กฐ์ (GREEN)์ ๋ณด์ด๋ค๊ฐ ๋ค์ '๊ฐ์ธ(LIME)'๋ก ๋ณต๊ทํ ๋.
์ง์
์ ํธ (Short):
์ถ์ธ ํ์ : ๋ชจ๋ ๋ฆฌ๋ณธ์ด 100 ์ดํ์ ์๋์์ '์ฝ์ธ(RUBI)'๋ก ํต์ผ๋ ๋.
์ฌ์ง์
(๋ฌผํ๊ธฐ): ์ฝ์ธ ์ถ์ธ ์ค, ๋ฆฌ๋ณธ์ด ์ผ์์ ์ผ๋ก ๋ฐ๋ฑ(MAROON)ํ๋ค๊ฐ ๋ค์ '์ฝ์ธ(RUBI)'๋ก ๋ณต๊ทํ ๋.
์ฒญ์ฐ ์ ํธ (์๋๋งค๋งค):
์ง์
(ENTRY): ๋กฑ/์ ์ ํธ ๋ฐ์ ์, ์ค์ ํ user_id, exchange, leverage ๋ฑ์ ํฌํจํ JSON ๋ฉ์์ง๋ฅผ ์ ์กํฉ๋๋ค.
์ต์ (TAKE_PROFIT): ๋กฑ/์ ํฌ์ง์
์ด ์ฌ์ฉ์๊ฐ ์ค์ ํ TP1, TP2, TP3 ๋ชฉํ๊ฐ์ ๋๋ฌํ๋ฉด, ์ค์ ๋ ๋ฌผ๋(qty_percent)๋งํผ ๋ถํ ์ต์ ํ๋ผ๋ JSON ๋ฉ์์ง๋ฅผ ์ ์กํฉ๋๋ค.
์์ (CLOSE): ํฌ์ง์
์ด ์ค์ ํ sl_percent์ ๋๋ฌํ๋ฉด, ํฌ์ง์
์ ์ฆ์ ์ข
๋ฃํ๋ผ๋ JSON ๋ฉ์์ง๋ฅผ ์ ์กํฉ๋๋ค.
3. ๐ ํต์ฌ ๊ธฐ๋ฅ: ํต๊ณ ํ
์ด๋ธ
์ด ์คํฌ๋ฆฝํธ๋ ๋ฐฑํ
์คํ
์ฑ๊ณผ๋ฅผ ๋ ๊ฐ์ ํ
์ด๋ธ๋ก ์์ฝํ์ฌ ์ฐจํธ์ ์ค์๊ฐ์ผ๋ก ํ์ํฉ๋๋ค.
๋์ ํต๊ณ (Total Stats): ์ ์ฒด ๊ธฐ๊ฐ์ ์ด ์ง์
ํ์, ์น/ํจ, ์น๋ฅ (Winrate), ์ด์์ต๋ฅ (Total Profit) ๋ฑ์ ๋ณด์ฌ์ค๋๋ค.
์ผ์ผ ํต๊ณ (Daily Stats): '์ค๋' ํ๋ฃจ ๋์ ๋ฐ์ํ ๋งค๋งค์ ์ฑ๊ณผ(์น/ํจ, ์น๋ฅ , ์์ต๋ฅ )๋ง ๋ฐ๋ก ์ง๊ณํ์ฌ ๋ณด์ฌ์ค๋๋ค.
๐บ๐ธ ์์ด (English)
This script is an automated trading (Autotrade) strategy signal generator based on a "Moving Average (MA) Ribbon."
Its purpose extends beyond visual trend analysis; it is designed to generate specific JSON-formatted commands and send them to an automated trading bot whenever a trade signal (entry, take-profit, stop-loss) occurs.
1. ๐ Trading Strategy: MA Ribbon Trend Following
This strategy uses 18 short-to-mid-term Moving Averages (5 to 90) and one long-term Moving Average (100) to define the trend.
100-MA: This acts as the baseline filter, dividing the market into a long-term bull or bear state.
18-MA Ribbon: When all 18 ribbons are above the 100-MA and rising (LIME color), it defines a 'Strong Bull Trend'. When all are below the 100-MA and falling (RUBI color), it defines a 'Strong Bear Trend'.
2. ๐ฆ Entry and Exit Signals
This is a 'Reversing' strategy. This means when a long signal occurs, it closes any existing short position and enters long, and vice-versa. It is designed to hold a position (either long or short) at all times.
Long Entry Signals:
Trend Confirmation: When all ribbons unify into a 'Strong Bull' (LIME) state above the 100-MA.
Re-entry (Buy the Dip): During a bull trend, if the ribbon shows a temporary pullback (GREEN) and then flips back to 'Strong Bull' (LIME).
Short Entry Signals:
Trend Confirmation: When all ribbons unify into a 'Strong Bear' (RUBI) state below the 100-MA.
Re-entry (Sell the Rally): During a bear trend, if the ribbon shows a temporary rally (MAROON) and then flips back to 'Strong Bear' (RUBI).
Exit Signals (For Automation):
ENTRY: When a long/short signal occurs, it sends a JSON message with the user's user_id, exchange, leverage, etc.
TAKE_PROFIT: When a position reaches the user-defined TP1, TP2, or TP3 price targets, it sends a JSON message to take profit on the specified quantity (qty_percent) for that portion.
CLOSE (Stop-Loss): When a position hits the sl_percent threshold, it sends a JSON message to immediately close the entire position.
3. ๐ Key Feature: Statistics Tables
The script provides two real-time summary tables on the chart to visualize backtesting performance.
Cumulative Stats: Shows lifetime performance, including total trades, wins, losses, win rate, and total profit.
Daily Stats: Isolates and displays the performance metrics (wins, losses, win rate, profit) for "Today's" trading activity only.
coinbot_ICT_Unicorn(AUTOTRADE)1. ๐ฏ ํต์ฌ ๊ธฐ๋ฅ: ์๋๋งค๋งค ์ ํธ ์ ์ก (Webhook)
์ด ์คํฌ๋ฆฝํธ๋ ๋งค๋งค ์ ํธ๊ฐ ๋ฐ์ํ ๋๋ง๋ค, ์ฌ์ฉ์๊ฐ '์๋๋งค๋งค ์ค์ (Autotrade Settings)'์ ์
๋ ฅํ ๊ฐ๋ค์ ์กฐํฉํ์ฌ ๊ตฌ์ฒด์ ์ธ JSON ๋ฉ์์ง๋ฅผ ์์ฑํ๊ณ alert() ํจ์๋ฅผ ํตํด ์นํ
์ผ๋ก ์ ์กํฉ๋๋ค.
์
๋ ฅ ์ค์ : user_id, exchange(๊ฑฐ๋์), leverage(๋ ๋ฒ๋ฆฌ์ง), capital_percent(ํฌ์
์๋ %), sl_percent(์์ %), ๊ทธ๋ฆฌ๊ณ 3๋จ๊ณ ๋ถํ ์ต์ (tp1_price_percent, tp1_qty_percent ๋ฑ) ์ค์ ์ ์
๋ ฅ๋ฐ์ต๋๋ค.
์ ํธ ์ข
๋ฅ:
ENTRY (์ง์
): ๋งค์(buy) ๋๋ ๋งค๋(sell) ์ ํธ๊ฐ ๋ฐ์ํ๋ฉด, ์ ๋ชจ๋ ์ค์ ๊ฐ์ ํฌํจํ ์ง์
๋ช
๋ น์ ๋ณด๋
๋๋ค.
CLOSE (์์ ): ์ ๋ต์ ๋ด๋ถ ๋ก์ง์ ์ํด ์์ ๊ฐ์ ๋๋ฌํ๋ฉด(slAlertTick), ํฌ์ง์
์ ์ข
๋ฃํ๋ผ๋ ์ ํธ๋ฅผ ๋ณด๋
๋๋ค.
TAKE_PROFIT (์ต์ ): ๋ชฉํ๊ฐ์ ๋๋ฌํ๋ฉด(tpAlertTick), ์ค์ ๋ ๋ฌผ๋๋งํผ ์ต์ ํ๋ผ๋ ์ ํธ๋ฅผ ๋ณด๋
๋๋ค.
2. ๐ ์๋ ์๋ฆฌ: "ICT ์ ๋์ฝ" ๋งค๋งค ์ ๋ต
์ด ์คํฌ๋ฆฝํธ์ ์ง์
๋ก์ง์ ICT(Inner Circle Trader) ๊ฐ๋
์ค ํ๋์ธ **'์ ๋์ฝ ๋ชจ๋ธ'**์ ๋ฐ๋ฆ
๋๋ค.
๊ตฌ์ฑ ์์ ์๋ณ:
Breaker Block (BB): '๋ธ๋ ์ด์ปค ๋ธ๋ก'์ ์๋ณํฉ๋๋ค. ์ด๋ ํน์ ๊ณ ์ /์ ์ ์ ๋ง๋ ํ ๊ทธ ๋ฐฉํฅ์ผ๋ก ๊ฐ์ง ๋ชปํ๊ณ ๋ฐ๋ ๋ฐฉํฅ์ผ๋ก ๋ํ(Break)๋ ์ค๋ ๋ธ๋ก(Order Block)์
๋๋ค.
Fair Value Gap (FVG): '๊ณต์ ๊ฐ์น ๊ฐญ' (๊ฐ๊ฒฉ ๋ถ๊ท ํ ์์ญ)์ ์๋ณํฉ๋๋ค.
ํต์ฌ ์ง์
์ ํธ (Unicorn): ์ด ์ ๋ต์ ํต์ฌ ์ง์
์กฐ๊ฑด์ **Breaker Block(BB)๊ณผ Fair Value Gap(FVG)์ด ์ค์ฒฉ(Overlap)**๋๋, ์์ '์ ๋์ฝ'์ด๋ผ ๋ถ๋ฆฌ๋ ๊ฐ๋ ฅํ ์ง์ง/์ ํญ ์์ญ์ด ๋ฐ์ํ๋ ๊ฒ์
๋๋ค.
Long (๋งค์) ์ง์
:
๊ฐ๊ฒฉ์ด ํ๋ฝํ๋ฉฐ **'ํ๋ฝํ ๋ธ๋ ์ด์ปค ๋ธ๋ก(Bearish Breaker Block)'**์ ๋ง๋ญ๋๋ค.
์ดํ ๊ฐ๊ฒฉ์ด ์์น ๋ํํ๋ฉฐ ์ด ๋ธ๋ ์ด์ปค ๋ธ๋ก ์์ญ๊ณผ ์ค์ฒฉ๋๋ **'์์นํ FVG(Bullish FVG)'**๋ฅผ ์์ฑํฉ๋๋ค.
์ด ์ค์ฒฉ ์์ญ(FVG-BB Overlap)์ด ๋ฐ๋ก ๋งค์ ์ง์
์ ๊ทผ๊ฑฐ๊ฐ ๋ฉ๋๋ค. (์ฝ๋๊ฐ dbgRequireRetracement ์ค์ ์ ๋ฐ๋ผ FVG๋ก์ ๋๋๋ฆผ์ ๊ธฐ๋ค๋ฆฌ๊ฑฐ๋ ์ฆ์ ์ง์
์ ํธ๋ฅผ ๋ณด๋
๋๋ค.)
Short (๋งค๋) ์ง์
:
๊ฐ๊ฒฉ์ด ์์นํ๋ฉฐ **'์์นํ ๋ธ๋ ์ด์ปค ๋ธ๋ก(Bullish Breaker Block)'**์ ๋ง๋ญ๋๋ค.
์ดํ ๊ฐ๊ฒฉ์ด ํ๋ฝ ๋ํํ๋ฉฐ ์ด ๋ธ๋ ์ด์ปค ๋ธ๋ก ์์ญ๊ณผ ์ค์ฒฉ๋๋ **'ํ๋ฝํ FVG(Bearish FVG)'**๋ฅผ ์์ฑํฉ๋๋ค.
์ด ์ค์ฒฉ ์์ญ์ด ๋งค๋ ์ง์
์ ๊ทผ๊ฑฐ๊ฐ ๋ฉ๋๋ค.
3. ๐ ๋ถ๊ฐ ๊ธฐ๋ฅ
์๊ฐํ: ์ฐจํธ ์์ FVG ์์ญ๊ณผ Breaker Block ์์ญ์ ๋ฐ์ค๋ก ๊ทธ๋ ค์ฃผ์ด(์ค์ ์ ๋ฐ๋ผ ํ์/์จ๊น ๊ฐ๋ฅ) ๋งค๋งค ๊ทผ๊ฑฐ๋ฅผ ์๊ฐ์ ์ผ๋ก ํ์ธํ ์ ์๊ฒ ํฉ๋๋ค.
๋ฐฑํ
์คํ
๋์๋ณด๋: ์ฐจํธ ์ฐ์ธก ์๋จ(๊ธฐ๋ณธ๊ฐ)์ ์ด ์ ๋ต์ ๋์ ์ฑ๊ณผ(์ด ์ง์
ํ์, ์น/ํจ, ์น๋ฅ , ์ด์์ต๋ฅ )๋ฅผ ๋ณด์ฌ์ฃผ๋ ๋์๋ณด๋๋ฅผ ํ์ํฉ๋๋ค.
์์ฝ
์ด ์คํฌ๋ฆฝํธ๋ **"Breaker Block๊ณผ FVG์ ์ค์ฒฉ(์ ๋์ฝ ๋ชจ๋ธ)"**์ ์ ์ผํ ์ง์
์กฐ๊ฑด์ผ๋ก ์ฌ์ฉํ๋ ๋งค์ฐ ๊ตฌ์ฒด์ ์ธ ICT ์ ๋ต์
๋๋ค. ์ด ์กฐ๊ฑด์ด ์ถฉ์กฑ๋๋ฉด, ์ฌ์ฉ์๊ฐ ๋ฏธ๋ฆฌ ์ค์ ํ ์์ธํ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ๊ฐ๋ค์ ๋ด์ ์๋๋งค๋งค ๋ด์ผ๋ก ์ฆ์ ์คํ ๊ฐ๋ฅํ ์ฃผ๋ฌธ ์ ํธ๋ฅผ ์ ์กํ๋ '์ฌ์ธ์(All-in-One)' ์ ๋ต ์คํฌ๋ฆฝํธ์
๋๋ค.
์์ฒญํ์ ๋๋ก, ํด๋น ์งํ ์์ฝ๋ณธ์ ์์ด๋ก ๋ฒ์ญํ์ฌ ์ ๊ณตํฉ๋๋ค.
This script is an automated trading (Autotrade) strategy signal generator based on the ICT "Unicorn" trading model.
As the "AUTOTRADE" in its name implies, the core purpose of this indicator is to detect specific conditions on the chart and send JSON-formatted order signals (webhooks) to an external automated trading bot.
Here are the core mechanics and features of this script:
1. ๐ฏ Core Feature: Automated Signal Transmission (Webhook)
Whenever a trade signal occurs, this script generates a specific JSON message by combining the values entered by the user in the "Autotrade Settings" and sends it via webhook using the alert() function.
Input Settings: It takes inputs for user_id, exchange, leverage, capital_percent (equity %), sl_percent (stop loss %), and settings for 3-stage split take-profits (e.g., tp1_price_percent, tp1_qty_percent).
Signal Types:
ENTRY: When a "buy" or "sell" signal occurs, it sends an entry command including all the settings above.
CLOSE (Stop-Loss): If the price hits the stop loss according to the strategy's internal logic (slAlertTick), it sends a signal to close the position.
TAKE_PROFIT: When a profit target is reached (tpAlertTick), it sends a signal to take profit on the specified quantity.
2. ๐ How It Works: The "ICT Unicorn" Strategy
The script's entry logic follows the "Unicorn Model," one of the concepts from ICT (Inner Circle Trader).
Identifying Components:
Breaker Block (BB): It identifies a "Breaker Block." This is an Order Block that, after creating a specific high/low, fails to continue in that direction and is instead broken through in the opposite direction.
Fair Value Gap (FVG): It identifies a "Fair Value Gap" (a price imbalance area).
Core Entry Signal (The Unicorn): The core entry condition for this strategy is the overlap of a Breaker Block (BB) and a Fair Value Gap (FVG), which creates a powerful support/resistance zone known as the "Unicorn."
Long Entry:
Price moves down, creating a "Bearish Breaker Block."
Subsequently, price breaks upward, creating a "Bullish FVG" that overlaps with this Breaker Block area.
This overlapping area (FVG-BB Overlap) becomes the basis for the long entry. (Depending on the dbgRequireRetracement setting, the code either waits for a retracement to the FVG or sends an immediate entry signal.)
Short Entry:
Price moves up, creating a "Bullish Breaker Block."
Subsequently, price breaks downward, creating a "Bearish FVG" that overlaps with this Breaker Block area.
This overlapping area becomes the basis for the short entry.
3. ๐ Additional Features
Visualization: It draws the FVG and Breaker Block zones as boxes on the chart (can be toggled in settings), allowing for visual confirmation of the trade setup.
Backtesting Dashboard: It displays a dashboard in the top-right corner (by default) showing the strategy's cumulative performance (total entries, wins/losses, win rate, total profit).
Summary
This script is a highly specific ICT strategy that uses the "overlap of a Breaker Block and an FVG (the Unicorn Model)" as its sole entry condition. When this condition is met, it transmits an immediately executable order signal to an automated trading bot, complete with all the detailed risk management values preset by the user. It is an "all-in-one" strategy script.
CoinBot_Volumatic VIDYA Strategy์ด ์คํฌ๋ฆฝํธ๋ **"๋ชจ๋ฉํ
์ ์ ์ํ๋ VIDYA์ ATR ๋ฐด๋๋ฅผ ์ด์ฉํ ๋ํ ์ถ์ธ ์ถ์ข
์ ๋ต"**์
๋๋ค.
ํธ๋ ๋๊ฐ ์์๋๋ ์ง์ (๋ฐด๋ ๋ํ)์์ ์ง์
์ ํธ๋ฅผ ๋ฐ์์ํค๊ณ , ์ด ์ ํธ๋ฅผ JSON ๋ฉ์์ง๋ก ๋ง๋ค์ด ์๋ ๋งค๋งค ๋ด์ผ๋ก ์ ์กํ๋ ์ฌ์ธ์(All-in-One) ์ ๋ต ์คํฌ๋ฆฝํธ์
๋๋ค. ์ฌ์ฉ์๋ ๋ฆฌ์คํฌ ๊ด๋ฆฌ ์ค์ (SL/TP)๊ณผ ์นํ
์ ๋ณด๋ง ์
๋ ฅํ๋ฉด ๋ฉ๋๋ค.
This script is "a breakout trend-following strategy using momentum-adaptive VIDYA and ATR bands."
It generates entry signals at the point where a trend begins (a band breakout), converts these signals into a JSON message, and sends them to an automated trading bot. It is an all-in-one strategy script. The user only needs to input their risk management settings (SL/TP) and webhook information.
TFX AVERAGESThis indicator created by TFX features the EMA's of 5, 10, 20, 50, 200. These indicators will show the averages of candles.
dO / wO / mO + MA 50/200 + PrevDay H/L Description
This indicator plots key reference levels used by professional traders:
Daily Open (dO)
Weekly Open (wO)
Monthly Open (mO)
Previous Day High (pdH) and Previous Day Low (pdL)
Moving Averages: 50 & 200 SMA
Each level is drawn as a clean dotted white line with a fixed label directly on the price chart.
All levels can be individually toggled on or off via checkboxes in the settings panel.
The pdH/pdL lines start exactly from the candles that created them, providing clear structure for breakout, retracement, and liquidity analysis.
The 50/200 SMA are included for long-term trend context.
This tool is designed for traders who rely on multi-timeframe structure and precision levels for both intraday and swing strategies.
Features
Toggle visibility for dO, wO, mO, pdH, and pdL
Accurate placement of previous day levels
Lightweight and responsive
Clean minimal visual design
Supports any symbol and timeframe
Usage Notes
Perfect for confluence-based trading:
Combine pdH/pdL with session opens to identify key liquidity zones
Use SMA 50/200 for directional bias
Works on crypto, forex, indices, and equities
Is it Time for a Pullback? Check Bars Since MA TestAn old market adage declares that โprices never move in a straight line.โ Dips occur even in bullish markets. But how can traders know when prices may be due for a pullback?
Todayโs script tries to answer that question by asking how many bars have passed since a stock, index or other symbol has tested a given moving average. Long periods of time without touching a line such as the 50-day simple moving average, for example, could prompt traders to be more patient.
Bars Since MA Test counts how many bars have passed since prices touched or crossed the MA in question. The resulting value is plotted in a simple histogram. Users can set the MA length and type. By default, it uses the 50-day simple moving average (SMA).
The chart above applies Bars Since MA Test to the S&P 500. It shows that the index has gone 129 bars without testing its 50-day SMA. Thatโs the longest since a 146-bar stretch between July 2006 and February 2007.
Other longer runs include January-August 1995 (156 bars), November 1960-June 1961 (144 bars) and April-November 1958 (158 bars).
Given the small number of comparable readings, could traders suspect the current advance is getting long in the tooth?
TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more.
Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors.
Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges.
TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
Ultimate Scalping IndicatorOverview
The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market.
It combines three core technical elements:
Trend
Mean reversion
Momentum
into a single, efficient system.
By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals.
Core Components
200-Period Moving Average (MA200, 5-Minute Timeframe)
The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum.
Session VWAP (Volume-Weighted Average Price)
The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance.
RSI (Relative Strength Index)
The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions.
A โrecency filterโ is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets.
Signal Logic
Bullish Signal (Green Arrow)
A bullish reversal signal is plotted below a candle when:
Price is above both the 5-minute MA200 and the Session VWAP.
RSI is oversold (below 30).
The last time RSI was above 50 occurred within the last 10 candles before going oversold.
This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition.
Bearish Signal (Red Arrow)
A bearish reversal signal is plotted above a candle when:
Price is below both the 5-minute MA200 and the Session VWAP.
RSI is overbought (above 70).
The last time RSI was below 50 occurred within the last 10 candles before going overbought.
This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend.
Recommended Usage
This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on.
It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context.
Avoid counter-trend signals unless confirmed by price structure or volume behavior.
