Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York).
How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals.
Key Methodology:
Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action.
Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00).
Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
Indikator dan strategi
Buy / Sell Volume LabelsINDICATOR NAME:
Buy/Sell Volume Labels
DESCRIPTION:
Buy/Sell Volume Labels displays real-time buying and selling volume with dynamic color-coded labels that highlight market dominance. The indicator automatically emphasizes the dominant side (buy or sell) with bright green or red backgrounds, while the non-dominant side fades to gray for instant visual clarity.
Key Features:
- Dynamic Color Coding: Dominant volume side displays in bright green (buy) or red (sell), non-dominant side in gray
- Trend Indicator: Optional "Bullish Trend", "Bearish Trend", or "Neutral" label shows current market bias
- Flexible Display Options: Choose to show percentages only, volume only, or both
- Customizable Position: Place labels anywhere on chart (top, center, bottom; left, center, right)
- Adjustable Size: Six size options from Tiny to Huge, including Auto
- Lookback Period: Calculate volume for current bar or sum across multiple bars
- Neutral Threshold: Define when market is considered neutral vs. trending
How It Works:
- The indicator calculates buying and selling volume based on where price closes within each bar's range. When buying volume dominates, the Buy label turns bright green with black text while the Sell label turns gray. When selling dominates, the Sell label turns bright red with white text while the Buy label turns gray. This makes it immediately obvious which side controls the market.
Perfect For:
- Day traders and scalpers on futures (/MNQ, /ES, /NQ)
- Identifying accumulation vs. distribution phases
- Confirming trend strength and reversals
- Quick visual assessment of market pressure
- All timeframes from tick charts to daily
Settings:
- Header location (9 positions)
- Display mode (Volume, Percent- age, or Both)
- Table size (Tiny to Huge + Auto)
- Lookback period (bars)
- Trend label toggle
- Neutral threshold percentage
Created by NPR21 for the TradingView community.
VIG + ICT FVG/Imbalance [PRO FIXED]for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only for personal use only
Futures Calendar Spread Mean Reversion Strategyfutures calendar spread strategy:
Make sure you type in the correct spread in your chart
3 standard deviations for entry, with a stop at 4 standard deviations, seems to work best
don't select tp at mean
Use with energies and grains futures, anything very seasonal
KCP Pivot TrendLine [Dr.K.C.Prakash]KCP Pivot TrendLine automatically plots non-repainting trendlines by connecting confirmed pivot highs and pivot lows.
It helps identify trend direction, support, and resistance, with optional display of only the latest trendline for a clean chart.
Best suited for market structure analysis and swing trading.
jaems_Double BB[Alert]/W-Bottom/Dashboard// This Pine Scriptยฎ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// ยฉ Kingjmaes
//@version=6
strategy("jaems_Double BB /W-Bottom/Dashboard", shorttitle="jaems_Double BB /W-Bottom/Dashboard", overlay=true, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1, process_orders_on_close=true)
// ==========================================
// 1. ์ฌ์ฉ์ ์
๋ ฅ (Inputs)
// ==========================================
group_date = "๐
๋ฐฑํ
์คํธ ๊ธฐ๊ฐ ์ค์ "
startTime = input.time(timestamp("2024-01-01 00:00"), "์์์ผ", group=group_date)
endTime = input.time(timestamp("2099-12-31 23:59"), "์ข
๋ฃ์ผ", group=group_date)
group_bb = "๐ ๋๋ธ ๋ณผ๋ฆฐ์ ๋ฐด๋ ์ค์ "
bb_len = input.int(20, "๊ธธ์ด (Length)", minval=5, group=group_bb)
bb_mult_inner = input.float(1.0, "๋ด๋ถ ๋ฐด๋ ์น์ (Inner A)", step=0.1, group=group_bb)
bb_mult_outer = input.float(2.0, "์ธ๋ถ ๋ฐด๋ ์น์ (Outer B)", step=0.1, group=group_bb)
group_w = "๐ W ๋ฐ๋ฅ ํจํด ์ค์ "
pivot_left = input.int(3, "ํผ๋ฒ ์ข์ธก ๋ด ์", minval=1, group=group_w)
pivot_right = input.int(1, "ํผ๋ฒ ์ฐ์ธก ๋ด ์", minval=1, group=group_w)
group_dash = "๐ฅ๏ธ ๋์๋ณด๋ ์ค์ "
show_dash = input.bool(true, "๋์๋ณด๋ ํ์", group=group_dash)
comp_sym = input.symbol("NASDAQ:NDX", "๋น๊ต ์ง์ (GS Trend)", group=group_dash, tooltip="S&P500์ 'SP:SPX', ๋นํธ์ฝ์ธ์ 'BINANCE:BTCUSDT' ๋ฑ์ ์
๋ ฅํ์ธ์.")
rsi_len = input.int(14, "RSI ๊ธธ์ด", group=group_dash)
group_risk = "๐ก ๋ฆฌ์คํฌ ๊ด๋ฆฌ"
use_sl_tp = input.bool(true, "์์ /์ต์ ์ฌ์ฉ", group=group_risk)
sl_pct = input.float(2.0, "์์ ๋งค (%)", step=0.1, group=group_risk) / 100
tp_pct = input.float(4.0, "์ต์ ๋งค (%)", step=0.1, group=group_risk) / 100
// ==========================================
// 2. ๋ฐ์ดํฐ ์ฒ๋ฆฌ ๋ฐ ๊ณ์ฐ (Calculations)
// ==========================================
// ๊ธฐ๊ฐ ํํฐ
inDateRange = time >= startTime and time <= endTime
// ๋๋ธ ๋ณผ๋ฆฐ์ ๋ฐด๋
basis = ta.sma(close, bb_len)
dev_inner = ta.stdev(close, bb_len) * bb_mult_inner
dev_outer = ta.stdev(close, bb_len) * bb_mult_outer
upper_A = basis + dev_inner
lower_A = basis - dev_inner
upper_B = basis + dev_outer
lower_B = basis - dev_outer
percent_b = (close - lower_B) / (upper_B - lower_B)
// W ๋ฐ๋ฅํ (W-Bottom) - ๋ฆฌํ์ธํ
๋ฐฉ์ง
pl = ta.pivotlow(low, pivot_left, pivot_right)
var float p1_price = na
var float p1_pb = na
var float p2_price = na
var float p2_pb = na
var bool is_w_setup = false
if not na(pl)
p1_price := p2_price
p1_pb := p2_pb
p2_price := low
p2_pb := percent_b
// ํจํด ๊ฐ์ง
bool cond_w = (p1_price < lower_B ) and (p2_price > p1_price) and (p2_pb > p1_pb)
is_w_setup := cond_w ? true : false
w_bottom_signal = is_w_setup and close > open and close > lower_A
if w_bottom_signal
is_w_setup := false
// GS ํธ๋ ๋ (๋์ค๋ฅ ์๋ ๊ฐ๋)
ndx_close = request.security(comp_sym, timeframe.period, close)
rs_ratio = close / ndx_close
rs_sma = ta.sma(rs_ratio, 20)
gs_trend_bull = rs_ratio > rs_sma
// RSI & MACD
rsi_val = ta.rsi(close, rsi_len)
= ta.macd(close, 12, 26, 9)
macd_bull = macd_line > signal_line
// ==========================================
// 3. ์ ๋ต ๋ก์ง (Strategy Logic)
// ==========================================
long_cond = (ta.crossover(close, lower_A) or ta.crossover(close, basis) or w_bottom_signal) and inDateRange and barstate.isconfirmed
short_cond = (ta.crossunder(close, upper_B) or ta.crossunder(close, upper_A) or ta.crossunder(close, basis)) and inDateRange and barstate.isconfirmed
// ์ง์
์คํ ๋ฐ ์๋ ๋ฐ์ก
if long_cond
strategy.entry("Long", strategy.long, comment="Entry Long")
alert("Long Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close)
if short_cond
strategy.entry("Short", strategy.short, comment="Entry Short")
alert("Short Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close)
// ์ฒญ์ฐ ์คํ
if use_sl_tp
if strategy.position_size > 0
strategy.exit("Exit Long", "Long", stop=strategy.position_avg_price * (1 - sl_pct), limit=strategy.position_avg_price * (1 + tp_pct), comment_loss="L-SL", comment_profit="L-TP")
if strategy.position_size < 0
strategy.exit("Exit Short", "Short", stop=strategy.position_avg_price * (1 + sl_pct), limit=strategy.position_avg_price * (1 - tp_pct), comment_loss="S-SL", comment_profit="S-TP")
// ๋ณ๋ ์๋: W ํจํด ๊ฐ์ง ์
if w_bottom_signal
alert("W-Bottom Pattern Detected!", alert.freq_once_per_bar_close)
// ==========================================
// 4. ๋์๋ณด๋ ์๊ฐํ (Dashboard Visualization)
// ==========================================
c_bg_head = color.new(color.black, 20)
c_bg_cell = color.new(color.black, 40)
c_text = color.white
c_bull = color.new(#00E676, 0)
c_bear = color.new(#FF5252, 0)
c_neu = color.new(color.gray, 30)
get_trend_color(is_bull) => is_bull ? c_bull : c_bear
get_pos_text() => strategy.position_size > 0 ? "LONG ๐ข" : strategy.position_size < 0 ? "SHORT ๐ด" : "FLAT โช"
get_pos_color() => strategy.position_size > 0 ? c_bull : strategy.position_size < 0 ? c_bear : c_neu
var table dash = table.new(position.top_right, 2, 7, border_width=1, border_color=color.gray, frame_color=color.gray, frame_width=1)
if show_dash and (barstate.islast or barstate.islastconfirmedhistory)
table.cell(dash, 0, 0, "METRIC", bgcolor=c_bg_head, text_color=c_text, text_size=size.small)
table.cell(dash, 1, 0, "STATUS", bgcolor=c_bg_head, text_color=c_text, text_size=size.small)
table.cell(dash, 0, 1, "GS Trend", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 1, gs_trend_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(gs_trend_bull), text_size=size.small)
rsi_col = rsi_val > 70 ? c_bear : rsi_val < 30 ? c_bull : c_neu
table.cell(dash, 0, 2, "RSI (14)", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 2, str.tostring(rsi_val, "#.##"), bgcolor=c_bg_cell, text_color=rsi_col, text_size=size.small)
table.cell(dash, 0, 3, "MACD", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 3, macd_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(macd_bull), text_size=size.small)
w_status = w_bottom_signal ? "DETECTED!" : is_w_setup ? "Setup Ready" : "Waiting"
w_col = w_bottom_signal ? c_bull : is_w_setup ? color.yellow : c_neu
table.cell(dash, 0, 4, "W-Bottoms", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 4, w_status, bgcolor=c_bg_cell, text_color=w_col, text_size=size.small)
table.cell(dash, 0, 5, "Position", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 5, get_pos_text(), bgcolor=c_bg_cell, text_color=get_pos_color(), text_size=size.small)
last_sig = long_cond ? "BUY SIGNAL" : short_cond ? "SELL SIGNAL" : "HOLD"
last_col = long_cond ? c_bull : short_cond ? c_bear : c_neu
table.cell(dash, 0, 6, "Signal", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 6, last_sig, bgcolor=c_bg_cell, text_color=last_col, text_size=size.small)
// ==========================================
// 5. ์๊ฐํ (Visualization)
// ==========================================
p_upper_B = plot(upper_B, "Upper B", color=color.new(color.red, 50))
p_upper_A = plot(upper_A, "Upper A", color=color.new(color.red, 0))
p_basis = plot(basis, "Basis", color=color.gray)
p_lower_A = plot(lower_A, "Lower A", color=color.new(color.green, 0))
p_lower_B = plot(lower_B, "Lower B", color=color.new(color.green, 50))
fill(p_upper_B, p_upper_A, color=color.new(color.red, 90))
fill(p_lower_A, p_lower_B, color=color.new(color.green, 90))
plotshape(long_cond, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(short_cond, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
S&D Golden Zone Clean v1.3Gojo Hoonโs Trading Room
S&D Golden Zone Clean Version
- Supply Zone, Demand Zone, Golden Zone
5MA + TrendMagic + Disparity Scalping + Volume Spikes5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
PriceโEMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
PriceโEMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.
MACDHLAdapted from Mohamed3nan. Added 1H MACD logic. Background colors indicate momentum shifts: Red for bearish (Red Histogram peaking) and Green for bullish (Green Histogram bottoming). Buy/Sell signals are triggered by Center Line breakouts or rejections. The Center Line serves as a dynamic Support and Resistance (S/R) for short-term trading.
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architectโข โ Developer Note
Weekly
These daily posts are intentional.
They are not meant to showcase wins, targets, or outcomes.
They are designed to help viewers observe consistency in market behaviorโspecifically how structure, range, and reaction repeat across different products and timeframes.
The value is not in catching every move.
The value is in knowing when participation is unnecessary or unsupported.
Signal Architectโข tools are built to help traders avoid low-quality decisions, not to encourage constant activity.
________________________________________
What These Posts Are Demonstrating
Over time, if you observe these posts across equities and futures, youโll begin to notice:
โข The same structural traps repeat across different instruments
โข The same reactions occur across multiple timeframes
โข The same stop-run and absorption behaviors appear regardless of volatility
That repetition is not coincidence.
It reflects how markets consistently behave, even as prices change.
The goal of these posts is to make that behavior familiarโ
because familiarity reduces hesitation, overtrading, and unnecessary loss.
Consistency is not the outcome.
Consistency is the environment.
________________________________________
What Youโre Seeing (Public View)
These charts display a limited visual preview of tools within the Signal Architectโข framework.
Only visual context is shown.
Core logic, calculations, thresholds, and execution rules are intentionally not disclosed.
The tools emphasize:
โข Market structure over prediction
โข Environmental awareness over signals
โข Risk framing over reward chasing
Nothing shown publicly is meant to tell you what to trade.
It is meant to help you recognize when not to trade.
________________________________________
Why This Matters
Most losses do not come from being wrong on direction.
They come from participating:
โข too early
โข too late
โข during transitions
โข inside structural traps
Signal Architectโข tools are designed to filter those moments out.
In many cases, the highest-value action is:
โข standing aside
โข reducing size
โข waiting for clarity
Saving capital is part of execution.
Avoiding a bad trade is often more valuable than finding a good one.
________________________________________
Background & Scope (Context Only)
Over the years, Iโve developed a wide range of systems and analytical tools spanning:
โข Equities
โข Futures
โข Options structure
โข Portfolio construction and allocation logic
This includes extensive work on rule-based, tightly controlled frameworks designed to function across changing market conditions.
None of that internal logic is shared publicly.
These posts exist strictly for education, observation, and pattern recognitionโnot advice, not signals, and not promises.
________________________________________
๐ค For Those Who Find Value
If these daily posts help you see the market more clearly:
โข Follow, boost, and share my scripts, Ideas, and MINDS posts
โข Feel free to message me directly with questions or build requests
โข Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
โข Additional signal access
โข Early previews
โข Occasional free tools and upgrades
๐ Membership & Signals
trianchor.gumroad.com
________________________________________
โ ๏ธ Final Note
Everything published publicly is educational and analytical only.
Markets carry risk.
Discipline, patience, and risk management always come first.
Watch the consistency.
Study the structure.
Let the market repeat itself.
โ Signal Architectโข
________________________________________
๐ Personally Developed GPT Tools
โข AuctionFlow GPT
chatgpt.com
โข Signal Architectโข Gamma Desk โ Market Intelligence
chatgpt.com
โข Gamma Squeeze Watchtowerโข
chatgpt.com
Weekly (W) โ Strategic Regime / โWhere price is allowed to liveโ
Goal: Identify the dominant direction + structural permission for the entire week(s).
How to use:
โข Treat weekly RECLAIM as regime confirmation, not an entry.
โข If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates.
โข If weekly prints Bear RECLAIM, same idea but short-biased.
Best behavior to look for:
โข 1โ2 reclaim signals per month/quarter.
โข Use it as a โmacro gate.โ
Recommended settings (starting point):
โข dispMult 1.2โ1.6
โข reclaimWindow 20โ40
โข cooldown 8โ20
๐ฃ WEEKLY โ Macro Regime & Liquidity Clearing
1๏ธโฃ Range Indicator (RI)
โข <30 โ long-term compression (energy building)
โข >70 โ macro expansion (trend regime active)
Use:
Defines whether markets are coiling or trending on a multi-month scale.
________________________________________
2๏ธโฃ ZoneEngine (Structure)
โข Identifies macro structural bias
โข Explains why certain weekly moves fail or accelerate
Use:
Never fight weekly structure. This is your โmarket weather.โ
________________________________________
3๏ธโฃ Cloud / Reclaim (Behavior)
โข Clouds classify regime state, not entries
โข Reclaims are informational only on weekly
Use:
Helps label the regime: continuation vs transition.
________________________________________
4๏ธโฃ Stop-Hunt Proxy
โข Represents large-scale liquidity clearing
โข Often tied to:
o fund rebalancing
o regime shifts
o macro events
Use:
Context only. Weekly stop-hunts explain why a regime changed โ they are not trades.
Crosses Open Daily (shock points OD)It is an indicator that works to alert you when an asset, during the day, crosses or approaches the daily open again.
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy โ Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit โtrapped buyers or sellersโ around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: โHunterโ style โ trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior dayโs bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones โ areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the โliquidity trapโ principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) โ buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) โ sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH โ Green
PDL โ Red
Trade Labels: Placed on the trap candle:
Short โ Red label โShortโ
Long โ Green label โLongโ
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works โ Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH โ some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes โ first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL โ some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes โ only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day โ reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts โ 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases โ traps can behave differently during high volatility events.
Always backtest and use the ATR SL โ never reduce SL too much, otherwise stops will trigger before the real move.
โ
Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
ICT Killzones & Pivots [TFO] + VWAP (NY Anchor)Made this for me, Enjoy it if it works for you ICT killzones + Vwap entry model from new york open with alerts
Volatility Cluster Trend.VCT - Volatility Cluster Trend
What it does
This indicator groups market volatility into 3 zones (low, medium, high) using a clustering method. Then it picks the right zone for current conditions and draws a trend line that adapts automatically.
Green line below price = uptrend
Red line above price = downtrend
Triangles show when trend flips.
How to add it
Open TradingView
Click "Indicators" at top (or press /)
Go to "My Scripts" tab
Find "VCT - Volatility Cluster Trend"
Click it
If you haven't saved it yet:
Open Pine Editor (bottom panel)
Paste the code
Click "Add to Chart"
Settings
ATR Length - how smooth the volatility reading is. Default 10 works fine. Go higher for less noise.
Factor - how far the line sits from price. Higher = wider stops, fewer signals. Lower = tighter, more signals. Default 3 is balanced.
Lookback Period - how much history to analyze for clustering. 100 bars is good for most timeframes.
Colors - pick what you like.
How to trade it
Long
Wait for green triangle
Price should be above the green line
Enter on next candle or pullback to line
Short
Wait for red triangle
Price should be below red line
Enter on next candle or pullback to line
Stop loss
Put it on the other side of the line
If long, stop goes just below green line
If short, stop goes just above red line
Exit
When opposite signal appears
Or trail your stop along the line
Tips
Works best on trending markets
Choppy sideways = lots of false signals
Higher timeframes (4h, daily) give cleaner signals
Combine with support/resistance for better entries
Don't chase - wait for pullbacks to the line
Alerts
Right click the indicator > Add Alert
Two options:
"Buy Signal" - alerts on green triangles
"Sell Signal" - alerts on red triangles
Set to "Once Per Bar Close" to avoid fake signals.
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC)
Institutional-Grade Trend, Volatility & Liquidity Framework
Overview
The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time.
It integrates ATR-based channels, pivot structure, supplyโdemand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system.
AMSC is not a single-indicator strategy.
It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity.
Core Components
1๏ธโฃ Adaptive ATR Trend Channel
Dynamic ATR-based support & resistance
Automatically adjusts to volatility
Color-coded trend strength (strong / weak regimes)
Acts as the primary trend bias filter
2๏ธโฃ Pivot-Based ATR Trend Channels
Channels built from confirmed pivot highs and lows
ATR-expanded structure, not fixed slopes
Separates impulse moves from corrections
Useful for trend continuation and pullback trades
3๏ธโฃ Market Structure: Supply & Demand Zones
Automatically plots fresh demand and supply zones
Zones extend forward until violated
Helps identify high-probability reaction areas
Used as a location filter, not a standalone signal
4๏ธโฃ Liquidity Sweep Detection (Smart Money Logic)
Identifies equal high / equal low liquidity pools
Detects stop-hunt style sweeps
Validates sweeps only when price reacts from structure zones
Prevents chasing false breakouts
5๏ธโฃ Multi-Factor Trend Confirmation Engine
Combines:
EMA structure
MACD momentum
RSI regime
VWAP positioning
Optional ribbon & HMA filters
Signals are generated only when a majority of factors align, avoiding single-indicator bias.
6๏ธโฃ Volatility Context (Bollinger Bands)
Provides volatility expansion / contraction context
Helps distinguish trend continuation vs compression
Works as a background regime filter
7๏ธโฃ Higher Timeframe Confirmation
Confirms trend using a user-selected HTF
Prevents counter-trend trades during strong HTF bias
Essential for intraday and swing traders
8๏ธโฃ Session-Aware Trading
Optional India, London, and New York session filters
Signals only during active market participation
Avoids low-liquidity false signals
9๏ธโฃ Professional Dashboard
Real-time display of:
Trend direction
Trend strength
Factor alignment
HTF bias
Active zone
Trade signal
Session status
Designed for quick decision-making, not clutter.
How to Use AMSC (Best Practice)
โ Trade in the direction of the ATR trend
โ Enter near demand/supply within the channel
โ Confirm with factor alignment & HTF bias
โ Use liquidity sweeps as entry triggers, not signals alone
โ Avoid trades during low-strength or inactive sessions
AMSC performs best when used as a confluence system, not a mechanical entry-exit robot.
Ideal Use Cases
Intraday index trading
Swing trading in trending markets
Futures & FX structure-based trading
Traders who prefer context over indicators
What AMSC Is NOT
โ Not a scalping toy
โ Not a repainting indicator
โ Not a one-click signal generator
It is built for disciplined traders who understand structure and risk.
Final Note
AMSC is designed to think like the market, not predict it.
Use it to read conditions, not chase signals.
MSC โ BEST CLEAN SETUP (RECOMMENDED)
๐ฏ Design Philosophy
โContext first, signals last.โ
The goal is to:
Read trend & structure at a glance
Avoid indicator overload
Let price + zones + channel do the heavy lifting
1๏ธโฃ CORE VISUALS (KEEP ON)
These are non-negotiable.
๐น Adaptive ATR Trend Channel
โ
ON
Primary trend bias
Use ATR Trendline Color = ON
This alone defines:
Bull vs Bear
Strength vs weakness
๐ If price is above channel โ bullish context
๐ If price is below channel โ bearish context
๐น Pivot ATR Trend Channel
โ
ON
Channel fill: ON
Transparency โฅ 85
Purpose:
Visualise trend slope
Spot pullbacks inside trend
๐ Treat channel edges as dynamic structure, not entry signals.
๐น Supply & Demand Zones
โ
ON
Transparency: 80โ85
Zones auto-expire visually when violated
๐ These are your only horizontal levels.
2๏ธโฃ SMART FILTERS (SELECTIVE)
๐ง Liquidity Sweep
โ
ON
Lookback: 5
Tolerance: 0.15 ATR
๐ Use sweeps only near zones
โ Ignore sweeps in the middle of nowhere
โฑ Session Filter
โ
ON
Trade only one session
India (for NSE)
London (for FX)
New York (for US indices)
โ Do NOT enable multiple sessions simultaneously
๐ Higher Timeframe (HTF)
โ
ON
Intraday: Daily
Swing: Weekly
๐ If HTF disagrees โ no trade
3๏ธโฃ WHAT TO TURN OFF (CRITICAL)
This is where clutter dies.
โ Bollinger Bands
๐ซ OFF by default
Use only when studying volatility compression
Otherwise adds visual noise
โ Full ATR Channel (Ver 15)
๐ซ OFF
Redundant with pivot + ATR trend
Keep only one channel logic
โ SuperTrend Channel
๐ซ OFF
ATR Trend Channel already covers this
โ Pivot Levels (P, R1, S1โฆ)
๐ซ OFF
Zones replace static pivots
Too many horizontal lines = paralysis
โ Previous Day / Week Levels
๐ซ OFF
Turn ON only for index option trading
Otherwise clutter
4๏ธโฃ MOVING AVERAGES (STRICT RULE)
Keep ONLY:
EMA Fast (9)
EMA Slow (21)
Optional:
HMA โ ON only for scalping
โ Do NOT stack multiple MAs visually
5๏ธโฃ DASHBOARD (MINIMAL MODE)
๐งญ Dashboard
โ
ON
Position: Top Right
Text Size: Small
Watch only:
Trend
Strength
HTF
Zone
Signal
Ignore factor numbers once confidence develops.
6๏ธโฃ SIGNAL USAGE (DISCIPLINE RULE)
โ Signal must appear inside a zone
โ Signal must align with trend & HTF
โ Signal must be during session
โ Never take:
Signals mid-channel
Signals against HTF
Signals during flat strength (<30%)
7๏ธโฃ RECOMMENDED PRESETS (COPY THIS)
๐น Intraday (Clean)
Timeframe: 5m / 15m
HTF: Daily
Session: India / NY
BB: OFF
Full ATR: OFF
SuperTrend: OFF
Pivots: OFF
๐น Swing (Ultra Clean)
Timeframe: 1H / 4H
HTF: Weekly
Liquidity: ON
Zones: ON
Dashboard: ON (small)
8๏ธโฃ GOLDEN RULE (MOST IMPORTANT)
If you cannot explain the trade using only:
Trend channel
One zone
One sweep
Do not trade it.
๐ FINAL VERDICT
AMSC is not cluttered by design.
Clutter comes from turning everything ON.
Used correctly:
The chart stays clean
Decisions become obvious
Overtrading disappears
AMSC โ TRADE EXECUTION RULEBOOK
Framework rule:
Trend โ Structure โ Liquidity โ Entry โ Risk โ Exit
1๏ธโฃ MARKET PRE-CONDITIONS (MANDATORY)
โ NO TRADE unless ALL are TRUE
โ
Trend Filter
ATR Trend Channel = Bull for longs / Bear for shorts
Trend strength โฅ 40%
Price must be on the correct side of the channel
โ
HTF Confirmation
HTF bias must match LTF trend
If HTF is neutral โ NO TRADE
โ
Session Filter
Trade only during active session
No first 5 minutes after session open
No last 15 minutes before session close
2๏ธโฃ LOCATION RULE (MOST IMPORTANT)
๐น Long Trades
Price must be inside or just above a DEMAND zone
Zone must be:
Fresh (not tested more than twice)
Within the Pivot ATR Channel
๐น Short Trades
Price must be inside or just below a SUPPLY zone
Same freshness rules apply
โ No zone โ no trade
3๏ธโฃ LIQUIDITY CONFIRMATION (ENTRY TRIGGER)
๐น Long Entry Trigger
At the demand zone, you must see:
โ Sell-side liquidity sweep
โ Sweep candle closes bullish
โ Sweep occurs inside the zone
๐น Short Entry Trigger
At the supply zone, you must see:
โ Buy-side liquidity sweep
โ Sweep candle closes bearish
โ Sweep occurs inside the zone
4๏ธโฃ ENTRY RULE (EXECUTION)
๐ต LONG ENTRY
Enter BUY when all conditions align and:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle (preferred)
๐ด SHORT ENTRY
Enter SELL when:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle
5๏ธโฃ STOP-LOSS RULES (NON-NEGOTIABLE)
๐ป Long SL
Place SL at:
Lowest point of the demand zone
OR
Below sweep low โ 0.1 ATR (whichever is lower)
๐บ Short SL
Place SL at:
Highest point of the supply zone
OR
Above sweep high + 0.1 ATR (whichever is higher)
โ Never trail SL early
โ Never move SL to break-even before partial exit
6๏ธโฃ POSITION SIZE (FIXED RISK ONLY)
Risk per trade: 0.5% โ 1% max
If SL distance is large โ reduce position size
Do not widen SL to fit position
7๏ธโฃ EXIT RULES (STRUCTURED)
๐ฏ TARGET 1 (T1 โ Protection)
At 1R
Action:
Book 50%
Move SL to Break-Even
๐ฏ TARGET 2 (T2 โ Structure)
Next opposite zone
OR
Pivot ATR Channel mid-line
Book 30%
๐ฏ FINAL EXIT (TREND FOLLOW)
Exit remaining 20% when:
โ Opposite liquidity sweep occurs
โ Price closes beyond Pivot ATR Channel
โ HTF bias flips
โ Session ends
8๏ธโฃ NO-TRADE CONDITIONS (ABSOLUTE)
โ Trend strength < 30%
โ Zone already tested 3+ times
โ Liquidity sweep outside zone
โ Entry candle is oversized (>1.8 ATR)
โ Trade against HTF
โ Emotional or revenge trade
9๏ธโฃ ONE-SCREEN TRADE CHECKLIST
Before clicking BUY/SELL:
โ Trend aligned
โ HTF aligned
โ In session
โ At zone
โ Sweep confirmed
โ SL defined
โ R โฅ 2 possible
If any answer = NO โ skip trade
๐ DISCIPLINE STATEMENT (PRINT THIS)
AMSC does not pay for activity.
It pays for patience, location, and discipline.
๐ EXPECTED PERFORMANCE (REALISTIC)
Win rate: 45โ60%
R:R average: 1:2.5 to 1:4
Drawdown: low
Trade frequency: selective
Adaptive Market Structure Channel โ Visual Layout
5
๐งญ How to READ the Chart (Left โ Right)
1๏ธโฃ Core Trend Context (FIRST thing your eyes see)
ATR Trend Channel
Acts as dynamic support/resistance
Green = bullish regime
Red = bearish regime
No second trendline competing with it
๐ If price is on the wrong side โ no trade
2๏ธโฃ Pivot ATR Structure Channel (SECOND layer)
Sloping channel following real swing structure
Shows:
Trend acceleration
Healthy pullbacks
Channel fill is very light (high transparency)
๐ Pullbacks inside this channel are valid
๐ Breaks outside = caution / exit
3๏ธโฃ Supply & Demand Zones (ONLY horizontal objects)
Few, wide, soft-colored zones
No pivot clutter, no fibs, no grids
๐ Trades happen only here
4๏ธโฃ Liquidity Sweep Markers (EVENT-BASED)
Appears only near zones
Indicates stop-hunt, not entry by itself
๐ Sweep + zone + trend = setup
๐ Sweep alone = ignore
5๏ธโฃ Dashboard (Decision Support, not distraction)
Small
Corner-placed
Shows only:
Trend
Strength
HTF bias
Zone
Signal
Session
๐ After experience, youโll barely look at it
๐ซ What You DO NOT See (Very Important)
A clean AMSC chart intentionally avoids:
Multiple moving averages
Pivot levels (P/R/S)
Too many channels
Oscillator panels
Bright fills or thick lines
If your chart looks โbusyโ, something is ON that should be OFF.
๐ง Mental Model (Keep This Image in Mind)
AMSC chart =
1 dynamic trend
1 structure channel
1 zone
1 liquidity event
1 decision
Anything more โ clutter
Anything less โ blind trading
โ
Final Visual Checklist (Before Trading)
โ Chart background visible
โ Candles clearly readable
โ Zones visible but not loud
โ Channel guides the eye
โ Nothing overlaps price excessively
If yes โ you are trading AMSC correctly
MRG Session High/LowMRG Session High/Low - Indicator Description
๐ Overview
This Pine Script indicator automatically displays key levels from Asian and London trading sessions on your TradingView chart. It plots the high and low points of each completed session, allowing you to quickly identify important support and resistance zones for your trades.
๐ฏ Key Features
Detected Sessions (New York Timezone)
Asian Session: 18:00 - 03:00 (6pm - 3am)
London Session: 03:00 - 09:00 (3am - 9.30am)
Plotted Levels
Session High: The highest point reached during the session
Session Low: The lowest point reached during the session
Start Lines: Vertical dashed lines marking the beginning of each session (optional)
โ๏ธ Customizable Settings
Display Options
โ
Show/hide Asian Session
โ
Show/hide London Session
โ
Show/hide session start lines
Style Options
๐จ Asian Color: Orange by default
๐จ London Color: Blue by default
๐จ Start lines color: Red by default
๐ Line thickness: Adjustable from 1 to 5
๐ How It Works
Automatic Detection: The indicator automatically detects when a new session begins
Level Calculation: During each session, it continuously records highs and lows
Line Plotting: At the end of each session, it draws two horizontal lines:
One line at the session high level
One line at the session low level
Extension: Lines extend to the right for easy future identification
๐ Strategic Usage
For Breakout Trading
Trade breakouts of Asian and London session highs/lows
Breakouts from these levels often signal the beginning of significant moves
For Support and Resistance
Use these levels as key support and resistance zones
Prices often come back to test these levels during the New York session
For Multi-Timeframe Analysis
Identify consolidation during Asian/London sessions
Anticipate volatility at New York open
๐ก Advantages
โจ Clear and automatic visualization of session levels
โฑ๏ธ Time-saving: no need to manually draw levels
๐ฏ Precise levels based on actual highs/lows of each session
๐ Automatically updates daily
๐ฑ Compatible with all timeframes (recommended: M5, M15, H1)
๐ Ideal For
Forex traders (especially XAUUSD, EUR/USD, GBP/USD)
Scalpers and day traders
Session breakout strategies
Trading around New York open
Liquidity zone analysis
๐ Important Note
The indicator uses New York timezone (America/New_York) to ensure session time accuracy, regardless of your local timezone.
Candlestick Patternsโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
CANDLESTICK PATTERNS PRO - QUICK START GUIDE
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
INSTALL
> Open TradingView > Pine Editor > Paste code > Add to Chart
SIGNALS AT A GLANCE
โฒ GREEN TRIANGLE (Below bar) = BUY Signal
โผ RED TRIANGLE (Above bar) = SELL Signal
++ STRONG BUY = High confidence reversal UP
+ Bullish = Possible move UP
-- STRONG SELL = High confidence reversal DOWN
- Bearish = Possible move DOWN
SIGNAL TABLE (Top Right Corner)
โโโโโโโโโโโฌโโโโโโโโโโโโโโโ
โ SIGNAL โ STATUS โ
โ Current โ ++ STRONG BUYโ
โ Pattern โ Bull Engulf โ
โ Trend โ REVERSAL UP โ
โโโโโโโโโโโดโโโโโโโโโโโโโโโ
PATTERN STRENGTH
STRONG SIGNALS (Large Labels):
โข Bull/Bear Engulfing
โข Morning/Evening Star
โข Bull/Bear Kicker
โข Piercing Line / Dark Cloud
REGULAR SIGNALS (Normal Labels):
โข Hammer / Inv Hammer
โข Shooting Star / Hanging Man
โข Bull/Bear Harami
โข Bullish Belt
NEUTRAL:
โข Doji = Wait for confirmation
COLORS
GREEN Background = Bullish zone
RED Background = Bearish zone
WHITE Label = Neutral (Doji)
SETTINGS (Gear Icon)
Pattern Sensitivity:
โข Doji Body Size = Smaller = more dojis
โข Hammer Wick Ratio = Higher = stricter
โข Engulfing Ratio = Size requirement
Display Options:
โข Show/Hide Bullish patterns
โข Show/Hide Bearish patterns
โข Toggle bar coloring
โข Toggle background
โข Toggle arrows
ALERTS
> Right-click chart > Add Alert > Select:
โข Strong Bullish Signal
โข Strong Bearish Signal
โข Bullish Signal
โข Bearish Signal
โข Doji - Indecision
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
TRADING TIPS
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
++ STRONG BUY at support level = HIGH probability
-- STRONG SELL at resistance = HIGH probability
Doji after trend = Reversal warning
Engulfing pattern = Immediate action
Always confirm with:
โข Support / Resistance levels
โข Volume
โข Trend direction
HTF Long/Short 1hr This is one of my latest algo it helps with your long and short bias for GC on the 1HR HTF
Institutional Engine SAFEThis indicator is designed for traders who want to visualize institutional-level market execution patterns across multiple timeframes. It combines high-timeframe trend analysis, liquidity sweeps, fair value gaps (FVG), intermarket divergence (SMT), inverse FVGs, and change-in-state-of-delivery (CSID) to identify high-probability long and short setups.
SMC Liquidity EngineSMC Liquidity Engine MTF is a multi-timeframe market structure and liquidity-based trading system designed to track institutional order flow. It identifies swing highs and lows to map market structure, detects breaks of structure and changes of character, and filters entries using higher-timeframe bias. By combining liquidity sweeps with structure shifts, the system highlights high-probability reversal and continuation zones where smart money is most likely active.
In normal human language, it waits for price to hunt stops, confirms the trend on a higher timeframe, then marks where professionals would step in. That is how you avoid getting farmed by noise and actually trade with intent.
