Condition Indicator – Session VWAP - Simulated BUY and SELL

16 小時前

🧩 Short Description (Summary):

A dual-purpose trading indicator that combines moving-average-based simulated trade zones with session VWAP structure analysis to visualize short-term market bias and potential turning points.

📘 **Full Description (for the "About" section):

Condition Indicator – Session VWAP and Simulated MA Structure

This indicator blends simulated trade logic with session-based VWAP analysis to help traders visualize when short-term and long-term market conditions align or diverge.

🧠 Key Features

Simulated Trades:
The script uses two simple moving averages (short and long) to simulate theoretical long and short trade averages over time.
It accumulates “positions” periodically (based on a user-defined minute interval) to illustrate how simulated positions would behave during trend shifts.

Session VWAP & Structure Analysis:
Calculates a dynamic VWAP and standard deviation bands for each session (daily, weekly, monthly, or hourly).
Compares price action against VWAP zones to detect whether trading volume is concentrated inside or outside equilibrium.

Support & Resistance Visualization:
Automatically identifies potential support/resistance zones based on previous session highs/lows and relative bullish or bearish volume distribution.

Market Bias Highlight:
Background color changes dynamically to represent bullish or bearish simulated conditions.

⚙️ Inputs

Long MA length / Short MA length: control the sensitivity of trend detection.

Simulated Trade Frequency: how often simulated positions are updated (in minutes).

Session Type: define the timeframe for VWAP and structure analysis (D, W, M, 60, etc.).

📈 Visualization

Red and green lines indicate simulated short/long trade averages.

VWAP line and deviation zones show session equilibrium shifts.

Background shading represents the active simulated market condition.

⚠️ Disclaimer

This script is for educational and analytical purposes only.
It is not financial advice, a trading signal, or a guaranteed strategy.
Always do your own research and consult a qualified financial professional before making trading decisions.

15 小時前

發行說明

📘 Full Description

Condition Indicator – Simulated MA Trades with Session VWAP Structure

The Condition Indicator blends simulated trade logic based on moving-average relationships with session VWAP structure analysis to visualize how price, volume, and structural levels interact.
It is designed to help identify short-term momentum, evolving support/resistance zones, and potential exhaustion or reinforcement of supply-demand forces.

🔴🟢 Simulated Trades and Color Logic

The indicator runs a dual-perspective simulation, showing how theoretical positions would behave from both long and short viewpoints.

The red line plots simulated trades when the short-term moving average is above the long-term moving average, representing activity occurring above the larger trend.

The green line plots simulated trades when the short-term moving average is below the long-term moving average, representing activity occurring below the larger trend.

The color distinction does not indicate direction alone, but rather whether simulated accumulation occurs above or below the dominant trend block.

The core message of the indicator is when either simulated side — red or green — pushes through defined support or resistance zones, signaling a meaningful structural shift in market control.

🏗️ Session VWAP and Structure

A Volume-Weighted Average Price (VWAP) is calculated for each chosen session (Daily, Weekly, Monthly, or Hourly).

The VWAP line is green when rising and red when falling, visually expressing short-term strength or weakness inside the session.

Standard deviation bands identify where price and volume trade inside or outside equilibrium.

Based on whether bullish or bearish volume dominates outside VWAP, the indicator automatically defines:

Support → the previous session’s low, when bullish volume dominates.

Resistance → the previous session’s high, when bearish volume dominates.

These levels adapt dynamically each new session, forming an evolving picture of market structure.

💡 Buy / Sell Condition Logic

When simulated trade averages interact with these structural levels:

A simulated long breaking below support implies weakening demand.

A simulated short breaking above resistance implies strengthening buying pressure.

These interactions define the indicator’s buy or sell condition:

🟩 Green background → simulated buy condition

🟥 Red background → simulated sell condition

The purpose is not to issue trading signals but to highlight where market energy shifts between buyers and sellers.

📊 Combining with Cumulative Volume Delta (CVD)

This tool becomes especially powerful when combined with Cumulative Volume Delta (CVD) to assess supply-demand strength within structure.

Recommended use case:

Apply CVD on a monthly timeframe.

When the indicator shows a sell condition (red background) but the VWAP turns green temporarily (rising VWAP), look at the CVD segment during that green VWAP period.

The CVD maximum in that sub-phase often reveals where selling exhaustion meets early buying reinforcement, helping to detect potential reversals.

Together, VWAP structure and CVD provide a deep perspective on how liquidity flows shape turning points.

⚙️ Inputs

Long MA / Short MA Length – define trend sensitivity.

Simulated Trade Frequency (minutes) – controls how often simulated trades are updated.

Session Type – choose the VWAP session (D, W, M, 60, etc.).

🖥️ Visual Elements
Element Meaning
🔴 Red line Simulated short-side activity (short MA above long MA)
🟢 Green line Simulated long-side activity (short MA below long MA)
⚫ Dots Adaptive support / resistance levels
🌈 VWAP line Green when rising, red when falling
🟥🟩 Background Active simulated sell / buy condition

⚠️ Disclaimer

This script is intended for educational and analytical purposes only.
It does not constitute financial advice, investment recommendations, or trading signals.
Always perform independent analysis and manage risk appropriately before making trading decisions.