Indikator dan strategi
Institutional ODR Quadrants + SD ExtensionsIn trading, "ODR Quadrants" (often related to Inner/Outer Day Range or just "Quadrants") typically refer to dividing a price range (like a day's high-low) into four equal sections to analyze price positioning and identify support/resistance, or a system of four trading styles/personalities (e.g., Q1: Quick Profits, Q2: Buy & Hold, Q3: Scalping, Q4: System-based) for risk management and strategy, with some technical indicators using quadrants to segment volume or time for clearer market structure analysis, especially within ICT (Inner Circle Trader) concepts.
CVD - Cumulative Volume Delta Line - TheActulaSnailCVD – Cumulative Volume Delta Line
Author: TheActualSnail
Description:
The CVD (Cumulative Volume Delta) Line indicator calculates the net difference between buying and selling volume over time, helping traders visualize market pressure and order flow. Instead of bars, this version plots a smooth line representing cumulative delta, making it easier to spot trends, divergences, and resets.
Key Features:
Smooth CVD line showing cumulative volume delta.
Optional Moving Average for trend smoothing.
Configurable resets: daily, fixed higher timeframe, session start, or specific intraday time.
Zero line for reference.
Background highlights when the CVD resets.
Settings Explanation
1. CVD Resets (resetInput)
Defines when the CVD calculation resets to zero:
None: Never resets; the CVD accumulates indefinitely.
On a stepped higher timeframe: Resets at the start of each bar of a higher timeframe (e.g., daily on a 1H chart).
On a fixed higher timeframe: Resets at the start of a specific timeframe you choose (fixedTfInput).
At a fixed time: Resets at a specific hour and minute each day (hourInput and minuteInput). Works only on intraday charts.
At the beginning of the session: Resets at the start of each trading session (useful for markets with fixed open/close hours).
2. Fixed Higher Timeframe (fixedTfInput)
Used with fixed higher timeframe reset. Example: "D" = reset at the start of each day, "W" = reset at the start of each week.
3. Fixed Time (hourInput & minuteInput)
Used only with At a fixed time reset. Example: hour = 9, minute = 30 → CVD resets at 9:30 AM each day.
4. Volume Delta Calculation (vdCalcModeInput)
Volume delta: Cumulative delta = up volume − down volume.
Volume delta percent: Relative delta = (up − down) / total volume.
5. Visuals
CVD Line Colors: Green for positive delta, red for negative.
CVD MA: Optional moving average to smooth the line.
Zero Line: Reference for zero cumulative delta.
Background Color on Reset: Highlights bars when CVD resets.
Usage Notes
This indicator is for informational purposes only.
It does not provide buy or sell signals.
Always combine CVD analysis with other indicators, price action, and risk management.
Market conditions can change rapidly; use caution when making trading decisions.
Tip:
For intraday charts, consider using fixed time resets to see daily market pressure clearly.
For higher timeframe analysis, use daily or weekly resets.
TTB TD 8 + 9this is my custom TD 8 + 9 , it is pretty solid on 4H + time frames, lower TF can work as well but not as good
VWAP 2nd stdev Mean Reversion StrategyThis strategy is based on the daily WVAP 2nd dev reversion.
The idea is to take a trade on the 2nd dev touch with the WVAP itself as a target.
The WVAP should be flat.
For daily trade only.
Use for ES/MES on the 1-minute timeframe.
Open Range BreakoutOpen Range Breakout is a volatility harvesting tool designed to exploit directional expansion following major market opens. It isolates price action during initial liquidity injections to project institutional-grade zones that define a session's structural bias.
Core Methodology
The script uses a time-anchored engine to map critical supply and demand boundaries:
Anchor Identification: The algorithm captures the absolute High and Low within a user-defined window at the start of Tokyo, London, or New York sessions.
Structural Projection: It generates a Neutrality Box. A breach via candle close signals the transition from consolidation to expansion.
Mathematical Risk Modeling: Upon breakout, it calculates a 3:1 Risk-Reward framework based on fixed percentage volatility.
Session Dynamics
The system is optimized for the global liquidity cycle:
Session 1 (Asia): Maps early-day consolidation and range-bound liquidity.
Session 2 (Europe): Captures the London Move to identify the trend.
Session 3 (US): Analyzes high-volume New York opens for maximum momentum.
Key Features
Dynamic Price Mitigation: TP/SL zones stop extending the moment price touches the target or invalidation level to keep charts clean.
Volatility-Adjusted Levels: Stop Loss parameters are normalized to price percentage for consistency across Indices, Forex, or Crypto.
Minimalist Interface: Professional aesthetic with high-contrast visual cues for instant scannability.
Use Cases
Momentum Trading: Identifying the Origin of the Move post-open.
Mean Reversion: Recognizing failed breakouts when price returns inside the range.
Quantitative Backtesting: Benchmarking 3.0 RR targets across different session anchors.
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
Synthetic Renko Early Flip AlertGives you the alert slightly before the Renko flip, but still based on real price.
Fair Value Gap [Zigamipassa] + Strength (0-10)Normal FVG indicator, with a twist that lets you see the strength of each fair value gap
TTB TD 8 + 9 simpleMarks T.D. 8 and 9 exhaustion counts on your chart. Green labels = potential buy reversals, red labels = potential sell reversals. Includes alerts and toggles for buy/sell signals. Lightweight script with no external dependencies.
PrecisionPressureMeter v1.0PrecisionPressureMeter v1.0
A clean, visual gauge showing real-time buying vs selling pressure on any timeframe.
How It Works:
The meter calculates buy/sell pressure based on where price closes within each bar's range. A close near the high = buyers won that bar. A close near the low = sellers won. The meter displays this as a simple 10-block vertical gauge.
Reading The Meter:
Green blocks fill from the top = buyer percentage
Red blocks fill from the bottom = seller percentage
50/50 = 5 green, 5 red (neutral)
70% buyers = 7 green, 3 red
30% buyers = 3 green, 7 red
Settings:
Meter Position — Place it anywhere on your chart (6 positions)
Meter Smoothing — Higher = smoother/slower reaction, Lower = faster/choppier (default: 5)
Meter Size — Tiny or Small to fit your layout
Use It For:
Quick visual confirmation of who's in control
Spotting shifts in pressure before price confirms
Adding context to your existing setup
Simple. Clean. Instant read.
A B C D E Complete Labels A B C D E Complete Labels
A = na(dayLow) ? na : close - dayLow
B = na(dayHigh) ? na : dayHigh - close
C = A - B
D = daily_normal_close - daily_ha_close
E = na(prev_close) ? na : daily_open - prev_close
SMA Reversal Sequential MTF - Pure Confirmed Final V2SMA Reversal Sequential MTF - Detailed Indicator Manual
This indicator identifies trend reversal points based on the shape of a Simple Moving Average (SMA) and monitors these signals across multiple timeframes (MTF). By synchronizing trends from various intervals, it provides a robust framework for identifying high-probability entry points.
1. Core Logic Overview
The indicator detects "peaks" and "troughs" in the SMA to identify potential reversal points.
Bullish Reversal (UP): Occurs when the SMA turns upward after a period of decline (forming a "trough").
Bearish Reversal (DN): Occurs when the SMA turns downward after a period of inclination (forming a "peak").
In addition to detecting these turns, the indicator tracks the high/low prices of the most recent reversal points on a "Confirmed Bar" basis. When the current price breaks these levels, it confirms a trend continuation or a breakout.
2. Full Description of Input Settings
Basic Settings / Main Settings
Use Short Period (5, 4, 7) / 短期設定を使用:
true: Increases sensitivity to price movements by using shorter parameters (e.g., SMA 5). Suitable for scalping.
false: Uses standard parameters (e.g., SMA 20). Suitable for day trading and swing trading.
Timeframe Visibility / 時間足表示設定
Allows individual toggling of visibility for each timeframe's labels and lines.
Show 1M to 1m / 1M〜1m表示: Individually enable or disable the calculation and display of data for Monthly (1M), Weekly (1W), Daily (Daily), 4H, 1H, 15M, 5M, and 1m timeframes.
Hide Higher TF Settings on Lower TFs / 下位足での上位設定を非表示: When enabled, this removes lower timeframe data from higher timeframe charts to reduce visual noise.
Drawing Options / 表示オプション
Show Only Current TF Labels / 現在足のラベルのみ表示: If enabled, only labels corresponding to the chart's current interval (e.g., "5" labels on a 5M chart) will be displayed.
Show Trendlines & Channels / トレンドライン&チャネルを表示: Automatically draws trendlines and parallel channels by connecting recent local reversal points on the current timeframe.
Show Sequential Labels / 転換点ラベル表示: Displays timeframe labels (e.g., "15", "1H") at the exact point where the SMA reversed.
Show Break Lines / ブレイクライン表示: Draws horizontal lines from the most recent peaks or troughs and displays a "BREAK" label when price crosses them.
Break Label Offset / ブレイク文字の右オフセット: Adjusts the horizontal distance of the "BREAK" label from the current bar for better visibility.
Additional Alert Settings / 追加アラート設定
Alert 1: Current + 2 Higher TFs Sync (Blue/Red) / アラート1: 現在・上位2つ同調:
Triggers a notification when the trend (UP/DN) of the current chart's timeframe, the next higher timeframe, and the second higher timeframe all align.
Alert 2: 4-TF Sync Including Current (Orange) / アラート2: 表示足を含む4足同調:
Triggers a notification when four consecutive timeframes (Current + 3 Higher) align in the same direction. This is considered a high-conviction signal.
3. How to Read the Dashboard (Table)
The compact table in the top-right corner displays the current trend status for key timeframes in real-time.
Blue Background (UP): Indicates price has broken the recent peak, confirming an uptrend for that timeframe.
Red Background (DN): Indicates price has broken the recent trough, confirming a downtrend for that timeframe.
Gray Background: Indicates the trend status is yet to be determined or is in a neutral state.
The table items are fixed to show 1D, 4H, 1H, 15M, and 5M from top to bottom. When all rows turn the same color, it indicates a strong market trend across the entire spectrum.
4. Key Feature: MTF Sync Alerts
The primary advantage of this indicator is its automation of manual Multi-Timeframe Analysis.
3-TF Sync: On a 15M chart, if the 15M, 1H, and 4H trends align, a small Blue (Buy) or Red (Sell) label appears on the chart.
4-TF Sync: If the alignment extends to a 4th timeframe (e.g., up to the Daily timeframe on a 15M chart), an Orange label is displayed, signaling a very strong trend confluence.
このインジケーター(SMA Reversal Sequential MTF)は、移動平均線(SMA)の形状からトレンドの転換点を特定し、それを複数の時間足(MTF)で監視・同期させることで、高精度なエントリーポイントを探るためのツールです。
以下に、すべてのインプット項目を含む詳細な説明をまとめました。
1. 概要と基本ロジック
このインジケーターは、SMA(単純移動平均線)が「山」や「谷」を作ったポイントを転換点として認識します。
上昇転換: SMAが一定期間、下降した後に上昇へ転じた(谷を作った)タイミング。
下降転換: SMAが一定期間、上昇した後に下降へ転じた(山を作った)タイミング。
これに加えて、直近の転換点の価格(高値・安値)を「確定足」で更新し、そのラインを価格がブレイクした際にトレンドの継続や転換を判定します。
2. インプット項目の詳細
基本設定 / Main Settings
短期設定を使用 (5, 4, 7):
true(チェックあり): 短期的な動きに敏感になります(SMA 5期間など)。スキャルピング向け。
false(チェックなし): 標準的な設定(SMA 20期間など)。デイトレード・スイング向け。
時間足表示設定 / Timeframe Visibility
各時間足のラベルやラインを表示するかどうかを個別に設定します。
1M〜1m表示: 月足(1M)から1分足(1m)まで、各MTFデータの計算・表示をオン/オフします。
下位足での上位設定を非表示: * 現在表示しているチャートより上位の時間足設定だけを表示し、ノイズを減らすためのスイッチです。
表示オプション / Drawing Options
現在足のラベルのみ表示: チェックすると、チャートの時間足と一致するラベル(例:5分足チャートなら「5」のラベル)のみ表示されます。
トレンドライン&チャネルを表示: 現在表示している足の直近の転換点同士を結び、トレンドラインと並行チャネルを自動描画します。
転換点ラベル表示: SMAが反転した位置に「15」や「1H」などの時間足ラベルを表示します。
ブレイクライン表示: 直近の転換点(高値・安値)から右側に水平線を引き、そこを価格が抜けた際に「BREAK」の文字を表示します。
ブレイク文字の右オフセット: 「BREAK」ラベルを右側にどれくらい離して表示するかを調整します。
追加アラート設定 / GRP_NEW_AL
アラート1: 現在・上位2つ同調 (青/赤):
「表示中の足 + 1つ上 + 2つ上」の計3つのトレンド(UP/DN)が一致した瞬間に通知します。
アラート2: 表示足を含む4足同調 (オレンジ):
「表示中の足 + 上位3つ」の計4つのトレンドがすべて一致した強力なサイン時に通知します。
3. テーブル(ダッシュボード)の見方
画面右上に表示されるコンパクトなテーブルは、各時間足の現在のトレンド状態をリアルタイムで示しています。
青背景(UP): 直近で高値をブレイクし、上昇トレンドにある状態。
赤背景(DN): 直近で安値をブレイクし、下降トレンドにある状態。
灰背景: 状態が未確定なケース。
表示項目は上位足から順に 1D(日足), 4H, 1H, 15M, 5M となっており、これらが一色に染まるタイミングが環境認識上の強いトレンドを示唆します。
4. 特徴的な機能:MTF同調アラート
このインジケーターの最大の強みは、手動でのマルチタイムフレーム分析を自動化している点です。
3足同調(SYNC): 15分足チャートであれば「15M・1H・4H」が同じ方向を向いた時にチャート上に青(買い)または赤(売り)の小さなラベルが表示されます。
4足同調(4-TF SYNC): さらに上位の足(15分足なら日足まで)が同調すると、オレンジ色のラベルが表示され、より強い根拠となります。
Dollar Normalized Volume v2The author of the idea is LastBattle .
An indicator that multiplies the closing price by the current volume.
This will show the relative interest in the underlying asset regardless of price changes over time. In the case when the price dropped from $ 16 to $ 1, the trading volume increased 16 times, taking into account the fact that now 16 times more shares can be purchased for the same amount in dollars.
It differs from the original version in that the numbers do not expand the scale of the indicator values, they are now displayed in abbreviated form.
Volume Flow DirectionThe indicator is showing you volume flow direction - sustained flow in one direction (green or red dominance) suggests institutional participation that often precedes price movement in that direction. Use in combination with Cumulative Volume Histogram to spot divergences.
Key Interpretation Guidelines:
1. Trend Direction :
- Sustained green dominance suggests underlying buying pressure (bullish)
- Sustained red dominance suggests underlying selling pressure (bearish)
2. Signal Line Crossings (more important than just height):
- Bullish signal : When the combined buffer (white line) crosses above the green signal line
- Bearish signal : When the combined buffer crosses below the red signal line
3. Divergences (most powerful signals):
- Bullish divergence : Price makes lower lows but indicator makes higher lows (green area grows)
- Bearish divergence : Price makes higher highs but indicator makes lower highs (red area deepens)
Practical Trading Interpretation:
Current Market Bias:
- Bullish bias : Green area consistently above zero line
- Bearish bias : Red area consistently below zero line
- Neutral : Indicator oscillating around zero with neither color dominating
Confirmation Factors:
1. Signal Method Context : Your chosen signal method (Percentage, Fixed, etc.) determines the thresholds
2. Trading Style Setting : Different styles (Range/Trend/News) use different parameters
3. Timeframe Consistency : Longer dominance (multiple bars) is more significant than brief spikes
SA Range Rank JNJ.WEEK. 1.15.2026Signal Architect™ — 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 behavior—specifically 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 Architect™ 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, you’ll begin to notice:
• The same structural traps repeat across different instruments
• The same reactions occur across multiple timeframes
• 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 familiar—
because familiarity reduces hesitation, overtrading, and unnecessary loss.
Consistency is not the outcome.
Consistency is the environment.
________________________________________
What You’re Seeing (Public View)
These charts display a limited visual preview of tools within the Signal Architect™ framework.
Only visual context is shown.
Core logic, calculations, thresholds, and execution rules are intentionally not disclosed.
The tools emphasize:
• Market structure over prediction
• Environmental awareness over signals
• 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:
• too early
• too late
• during transitions
• inside structural traps
Signal Architect™ tools are designed to filter those moments out.
In many cases, the highest-value action is:
• standing aside
• reducing size
• 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, I’ve developed a wide range of systems and analytical tools spanning:
• Equities
• Futures
• Options structure
• 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 recognition—not advice, not signals, and not promises.
________________________________________
🤝 For Those Who Find Value
If these daily posts help you see the market more clearly:
• Follow, boost, and share my scripts, Ideas, and MINDS posts
• Feel free to message me directly with questions or build requests
• Constructive feedback and collaboration are always welcome
For traders who want to go deeper, optional memberships may include:
• Additional signal access
• Early previews
• Occasional free tools and upgrades
🔗 Membership & Signals
trianchor.gumroad.com
________________________________________
⚠️ 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.
— Signal Architect™
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🔗 Personally Developed GPT Tools
• AuctionFlow GPT
chatgpt.com
• Signal Architect™ Gamma Desk – Market Intelligence
chatgpt.com
• Gamma Squeeze Watchtower™
chatgpt.com
Weekly (W) — Strategic Regime / “Where price is allowed to live”
Goal: Identify the dominant direction + structural permission for the entire week(s).
How to use:
• Treat weekly RECLAIM as regime confirmation, not an entry.
• If weekly prints Bull RECLAIM, favor long participation on lower timeframes until weekly invalidates.
• If weekly prints Bear RECLAIM, same idea but short-biased.
Best behavior to look for:
• 1–2 reclaim signals per month/quarter.
• Use it as a “macro gate.”
Recommended settings (starting point):
• dispMult 1.2–1.6
• reclaimWindow 20–40
• cooldown 8–20
🟣 WEEKLY — Macro Regime & Liquidity Clearing
1️⃣ Range Indicator (RI)
• <30 → long-term compression (energy building)
• >70 → macro expansion (trend regime active)
Use:
Defines whether markets are coiling or trending on a multi-month scale.
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2️⃣ ZoneEngine (Structure)
• Identifies macro structural bias
• Explains why certain weekly moves fail or accelerate
Use:
Never fight weekly structure. This is your “market weather.”
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3️⃣ Cloud / Reclaim (Behavior)
• Clouds classify regime state, not entries
• Reclaims are informational only on weekly
Use:
Helps label the regime: continuation vs transition.
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4️⃣ Stop-Hunt Proxy
• Represents large-scale liquidity clearing
• Often tied to:
o fund rebalancing
o regime shifts
o macro events
Use:
Context only. Weekly stop-hunts explain why a regime changed — they are not trades.
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window.
Here’s what it does, piece by piece.
---
## 1) What it’s trying to detect
It’s not true “whale prints” or real bid/ask delta. It detects:
* **unusually large participation** (volume anomaly)
* with a **directional guess** (buy-ish vs sell-ish)
* and then checks whether price **continued** after that anomaly
So it’s: **“big participation + did it work?”**
---
## 2) The “buy vs sell volume” estimate
For each candle, it builds a **weight** for buy and sell pressure:
* **close location within the candle**
* close near high → more buy weight
* close near low → more sell weight
* **body direction (close–open)**
* bullish body adds buy boost
* bearish body adds sell boost
Then it computes:
* `raw_buy = volume * buy_weight`
* `raw_sell = volume * sell_weight`
This is an **OHLC-based proxy** for pressure, not real aggressor volume.
---
## 3) Normalization (makes it behave across sessions)
If enabled, it divides by ATR:
* `norm_buy = raw_buy / ATR`
* `norm_sell = raw_sell / ATR`
This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY.
---
## 4) Statistical anomaly detection (z-score logic)
It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker):
* `avg_buy = sma(norm_buy, lookback) `
* `std_buy = stdev(norm_buy, lookback) `
(and same for sell)
Then it computes **z-scores**:
* `z_buy = (norm_buy - avg_buy) / std_buy`
* `z_sell = (norm_sell - avg_sell) / std_sell`
If z-score crosses thresholds, it triggers tiers:
* Tier 1: `sigma`
* Tier 2: `sigma + tier_step1`
* Tier 3: `sigma + tier_step2`
So **Tier 3 = “big bubble”**.
---
## 5) Optional VWAP bias filter
It computes VWAP correctly as:
* `vwapv = ta.vwap(hlc3)`
If enabled:
* buys only when `close >= vwap`
* sells only when `close <= vwap`
This is just a **trend/bias filter** to reduce counter-trend bubbles.
---
## 6) Plotting (how bubbles appear)
It places markers at:
* buys around `(close+low)/2` (lower-ish)
* sells around `(close+high)/2` (upper-ish)
And draws:
* small/medium/large circles (depending on tier)
* with optional INIT/ABS overlays (explained next)
---
## 7) “Initiative vs Absorbed” classification (the smart part)
Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**:
* It waits `N = confirm_bars`
* Looks at what happened from the signal bar to the current bar
* Decides if price moved far enough in the intended direction
It uses:
* `hh_window = highest(high, N+1)`
* `ll_window = lowest(low, N+1)`
(these cover the last N+1 bars: from signal bar to now)
Then it measures follow-through:
* For a buy signal N bars ago:
`buy_move = hh_window - high `
* For a sell signal N bars ago:
`sell_move = low - ll_window`
It compares to an ATR-based threshold anchored to the signal bar:
* `thr_move_sig = ATR * move_mult_atr`
If move > threshold → **INIT**
Else → **ABS**
Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it.
To make it obvious:
* **INIT** = circle
* **ABS** = X
This part is “accurate” in the sense that it’s purely **price-outcome based**.
---
## 8) Labels (optional)
If enabled, it prints labels on those large signals with:
* INIT/ABS
* the z-score at the signal bar
* and a “delta proxy” (`norm_buy - norm_sell`), not true delta
---
## In one sentence
The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
Attended candles - lines and infobox another updateAttended candles draw liquidity from the area above the high/below the low of the previous candle and close in the opposite direction; i.e., red candles draw liquidity above the previous candle and close in the short direction.
Green attended candles draw liquidity below the previous candle and close in the long direction.
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” 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: “Hunter” style — 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 day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → 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) → 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 → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → 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 — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → 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 — 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 → 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 — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ 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.
EMA 5/9 Ribbon + VWAP + Trend Filters **Description:**
This indicator combines EMA ribbon analysis with VWAP and volume-based trend filters to help traders identify high-probability entries. It is designed for clarity, providing visual signals, trend bias, and key market metrics directly on the chart.
**Key Features:**
* EMA Ribbon (5 & 9) that changes color based on trend and VWAP cross.
* Buy/Sell signals with optional “strong” signals when trend and volume confirm.
* VWAP crossover arrows (yellow) highlight stronger trends.
* Sideways detection filter to reduce signals during choppy markets.
* Adjustable ribbon and sideways background colors via settings.
* Live trend table showing:
* Current trend bias (Bullish/Bearish/Sideways)
* Bullish vs Bearish volume percentage
* ATR for volatility insight
* Optional background highlight for sideways zones.
**User Inputs:**
* EMA lengths, ATR length, volume lookback
* Sideways detection toggle and sensitivity
* Table placement options (top-right, top-center, bottom-right, bottom-center)
* Customizable colors for bullish, bearish, VWAP, and sideways zones
**Benefits:**
* Quickly visualize trend direction and momentum.
* Avoid signals during sideways or low-volatility periods.
* Makes chart analysis faster and more intuitive.
* Fully customizable to match personal trading style.
**Recommended Use:**
Best used on intraday or swing charts to confirm trend and momentum. Combine with other analysis tools (support/resistance, candlestick patterns, or additional indicators) for higher confidence trades.
Time Cycles# Time Cycles Indicator
**Time Cycles Indicator** is a time-based visualization tool designed to map repeating market rhythms as smooth arches in a separate pane.
Rather than reacting to price, the script focuses purely on **time cycles**, helping you visualize potential **liquidity flow, expansion, and contraction phases** across the chart.
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## 🔁 What This Indicator Does
- Translates a user-defined **time cycle (in days)** into repeating **semi-circular arches**
- Anchors cycles to a **fixed start date**
- Displays cycles in a **clean, price-independent pane**
- **Projects cycles forward into the future** (e.g. 6 months) so you can anticipate upcoming time windows
- Designed to complement **structure, liquidity, and narrative-based analysis**
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## 🧠 How It Works
Each cycle is mathematically modeled as a **semicircle**:
- Start of cycle → low energy
- Mid-cycle → peak / expansion
- End of cycle → decay / reset
This produces a smooth “arch” that visually represents **temporal momentum**, independent of market volatility.
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## ⚙️ Key Settings
### Cycle Settings
- **Start Date (UTC)** – Anchor point for all cycles
- **Period (Days)** – Length of each cycle (supports decimals)
- **Phase Shift (Days)** – Slide cycles forward or backward in time
- **Plot Only After Start Date** – Ignore cycles before the anchor
### Visual Controls
- **Amplitude** – Vertical scale of the arches
- **Baseline** – Vertical offset for positioning
- **Invert** – Flip arches into valleys
- **Baseline Guide** – Optional reference line
- **Shaded Fill** – Visual emphasis of cycle energy
### Forward Projection
- **Project Forward** – Enable future cycle rendering
- **Forward Distance (Days)** – How far into the future to extend (default ≈ 6 months)
- **Step Size (Days)** – Smoothness vs performance control
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## 📈 How to Use It
- Pair with **market structure**, **VWAP**, **HTF levels**, or **liquidation maps**
- Watch for **confluence** between cycle peaks/troughs and price events
- Use forward projections to anticipate **time-based inflection zones**
- Works across all markets and timeframes
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## ⚠️ Important Notes
- This is **not a price predictor**
- Cycles represent **time windows**, not directional bias
- Best used as a **contextual overlay**, not a standalone signal
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## 🧩 Ideal For
- Liquidity & narrative traders
- Time-cycle analysts
- Macro rhythm mapping
- Traders who believe *“time reveals structure before price does”*
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*Time does not repeat — but it often rhymes.*






















