ADAM Projection - Efficiency Ratio Adaptive)Overview
The ADAM Projection is a visualization of how a price path might extend from its recent motion, expressed as a continuation (trend reflection) or anti-trend (mean reversion) pattern. This indicator expands upon Jim Sloman’s original ADAM projection—introduced in “The Adam Theory of Markets or What Matters Is Profit” (1983)—by adding a modern quantitative framework for Efficiency Ratio (ER) weighting, time-scaled path normalization, and smooth blending between continuation and anti-trend projections.
What Is the ADAM Theory?
Jim Sloman’s original ADAM projection was designed to model pure trend continuation. He proposed that every market motion could be mirrored around a central anchor price (the “Adam line”), effectively reflecting past price movements forward in time to visualize what a continuation of the same geometric path would look like. This reflection concept captured the idea that market structure exhibits self-similarity and that price trends often extend symmetrically beyond recent pivots.
How This Script Extends It
This version generalizes Sloman’s concept by introducing an adjustable blend between continuation (reflection) and anti-trend (forward paste) behavior, weighted by an adaptive ER domain.
Anchor Axis
The reflection axis (anchorPrice) can be Close, HL2, HLC3, or OHLC4.
The projection is drawn forward from this anchor for a user-defined horizon (len bars).
Dual Paths
Continuation (Reflection): Mirrors historical closes across the anchor.
Anti-trend (Forward Paste): Extends historical closes directly forward without inversion.
Efficiency Ratio (ER)
The Efficiency Ratio measures how directional recent price movement has been: ER = |Net Change| / Σ|Δi|
Values near +1 indicate strong directionality (favoring continuation); values near 0 indicate noise or consolidation (favoring anti-trend behavior).
Signed ER Normalization
ER values are mapped into a user-defined domain between erMin and erMax, with:
erSharp (γ) controlling the steepness of the blend curve
erFloor providing stability when ER ≈ 0
beta (β) weighting volatility across time (β = 0.5 approximates √time scaling)
Blended Projection
Each projected point is a weighted combination of the two paths: y_proj = (1 − w) * y_fade + w * y_cont
The blend factor w is derived from the normalized ER domain and gamma shaping, producing a smooth morph between the anti-trend and continuation geometries.
Visualization
The teal projection line shows the dynamically blended continuation/anti-trend forecast for the next len bars.
The gray anchor line marks the reflection axis.
Each segment adapts in real time based on ER magnitude and recent path structure.
Key Parameters
Core: len, anchorPrice, lineThin — projection horizon and appearance
Lines: showProj, colProj — show or recolor projection
ER Domain: erMin, erMax, erSharp, erFloor, beta — control domain scaling, shaping, and time weighting
Practical Use
High ER values emphasize continuation (trend-following behavior).
Low or negative ER values emphasize fading or mean reversion.
The projection helps visualize whether recent structure supports trend persistence or weakening.
Interpretation
The ADAM Projection is not a predictive indicator but a geometric tool for studying market symmetry and efficiency. It provides a structured way to visualize how recent movements would look if extended forward under both continuation and anti-trend assumptions. This blends Sloman’s original reflection concept with modern ER-based adaptivity.
Summary
Origin: Jim Sloman (1983) — trend continuation via reflection symmetry.
Extension: Adds ER-driven blending to model both continuation and anti-trend regimes.
Concept: Price reflection vs. direct forward extension.
Purpose: Study of geometric price symmetry and efficiency, not a trade signal.
Penunjuk dan strategi
Adaptive Volume Delta Map---
📊 Adaptive Volume Delta Map (AVDM)
What is Adaptive Volume Delta Map (AVDM)?
The Adaptive Volume Delta Map (AVDM) is a smart, multi-timeframe indicator that visualizes buy and sell volume imbalances directly on the chart.
It adapts automatically to the best available data resolution (tick, second, minute, or daily), allowing traders to analyze market activity with micro-level precision .
In addition to calculating volume delta (the difference between buying and selling pressure), AVDM can display a Volume Distribution Map — a per-price-level visualization showing how volume is split between buyers and sellers.
Key Features
✅ Adaptive Resolution Selection — Automatically chooses the highest possible data granularity — from tick to daily timeframe.
✅ Volume Delta Visualization — Displays delta candles reflecting the dominance of buyers (green), sellers (red), and delta (orange).
✅ Per-Level Volume Map (optional) — Shows detailed buy/sell volume distribution per price level, grouped by `Ticks Per Row`.
✅ Bid/Ask Classification — When enabled, AVDM uses bid/ask logic to classify trade direction with greater accuracy.
✅ Smart Auto-Disable Protection — Automatically disables volume map if too many price levels (>50) are detected — preventing performance degradation.
Inputs Overview
Use Seconds Resolution — Enables use of second-level data (if your TradingView subscription allows it).
Use Tick Resolution — Enables tick-based analysis for the most detailed view. If available, enable both tick and seconds resolution.
Use Bid/Ask Calculated — Uses bid/ask midpoint logic to classify trades.
Show Volume Distribution — Toggles per-price-level buy/sell volume visualization.
Ticks Per Row — Controls how many ticks are grouped per volume level. Reduce this value for finer detail, or increase it to reduce visual load.
Calculated Bars — Sets how many historical bars the indicator should process. Higher value increases accuracy but may impact performance.
How to Use
1. Add the indicator to your chart.
2. Ensure that your symbol provides volume data (and preferably tick or second-level data).
3. The indicator will automatically select the optimal timeframe for detailed calculation.
4. If your TradingView subscription allows second-level data , enable “Use Seconds Resolution.”
5. If your subscription allows tick-level data , enable both “Use Tick Resolution” and “Use Seconds Resolution.”
6. Adjust the “Calculated Bars” input to set how many historical bars the indicator should process.
7. Observe the Volume Delta Candles :
* Green = Buy pressure dominates
* Red = Sell pressure dominates
8. To see buy/sell clustering by price, enable “Show Volume Distribution.”
9. If the indicator disables the map and shows:
" Volume Distribution disabled: Too many price levels detected (>50). Try decreasing 'Ticks Per Row' or using a lower chart resolution. If you don’t care about the map, just turn off 'Show Volume Distribution'. "
— follow the instructions to reduce chart load.
Notes
* Automatically adapts to your chart’s resolution and data availability.
* If your symbol doesn’t provide volume data, a runtime warning will appear.
* Works best on futures , FX , and crypto instruments with high-frequency volume streams.
Why Traders Love It
AVDM combines adaptive resolution , volume delta analysis , and visual distribution mapping into one clean, efficient tool.
Perfect for traders studying:
* Market microstructure
* Aggressive vs. passive participation
* Volume absorption
* Order flow imbalance zones
* Delta-based divergence signals
Technical Highlights
* Built with Pine Script v6
* Adaptive resolution logic (`security_lower_tf`)
* Smart memory-safe map rendering
* Dynamic bid/ask classification
* Automatic overload protection
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Adaptive Square Levels (Prev + Curr Month, Configurable)
The Adaptive Square Levels (Configurable Edition) indicator dynamically plots price levels based on perfect squares — a concept derived from harmonic market behavior and geometric scaling.
Each month, the script automatically detects the new monthly open and generates square levels both above and below the opening price.
This version introduces full configurability, allowing traders to adjust how many square levels they want to visualize on either side of the base level. The indicator also visually separates previous and current month levels for easy reference.
⚙️ Features
🔢 User-Configurable Range: Choose how many levels to plot above and below the base level.
🧮 Mathematically Derived Levels: Based on perfect squares up to a user-defined max price.
📅 Monthly Auto-Reset: Automatically refreshes at the start of each new month.
🎨 Color-Coded Levels:
Orange → Major levels (square roots divisible by 3)
Yellow → Regular levels
Star (★) → Base level (nearest to monthly open)
🕰️ Dual Month Display: Shows both current and previous month levels for trend comparison.
💡 How to Use
Add the indicator to any symbol and timeframe (preferably daily or higher).
Adjust:
Max Price Level → The upper bound of your price universe.
Number of Levels Each Side → Controls the density of levels.
Observe how price reacts around these mathematically significant zones.
Use in confluence with your own price action, volume, or support/resistance analysis.
📊 Ideal For
Swing traders analyzing monthly trend reversals
Price structure and geometry enthusiasts
Traders exploring market harmonics or square-of-nine–based frameworks
🧠 Note
The script doesn’t provide buy/sell signals — it offers a structural map of key levels derived from square relationships.
Use it as a visual guide to align entries and exits with natural market geometry.
Options Momentum SignalCustomizable Intraday Options Scalping Alert.
Several important, complementary indicators combined into one simple signal that pops up under a bar to indicate sustained momentum on a trend. It uses a combination of calculations based on the 1m VWAP, price increase in contrast to previous day's close, and customizable Volatility and Volume Data.
It has adjustable values for the % increase from last close (labeled as Pre-Mkt % Threshold), minimal candle body % to filter out weaker signals, RVOL threshold, minimum CVD (it's rolling, so functions in tandem with the CVD lookback value for the number of bars.)
It offers individual boxes that can be checked on or off to help filter out noise. Boxes are: Use 1m VWAP, Use CVD, 3-bar cooldown (reduces back-to-back signals, especially on shorter (1m, 2m, and 5m) charts), VWAP bounce option to catch bounces happening in real time before the candle closes, Use RVOL, and Use Rolling CVD. These can all be checked on or off and will create vastly different signals depending on what you are filtering for.
These indicators were chosen specifically as I feel they help most with option scalping and is intended to be used alongside a few other indicators for confirmation. Personally, I use a couple anchored VWAPs (highest high, session) as well as a FRAMA channel for confirmation. I also use the following to further confirm trends: TradingView’s RVOL, CVD, and Price Pattern Oscillators, in addition to Beardy Fred's TTM Squeeze Pro.
Hope this helps some people!
Final - SwingsMarket-specific guidance
Crypto 3–5m (BTC/ETH)
Use % mode ON, % = 0.45–0.55.
Keep Retest ON, retestBars = 2–3, retestTolTicks = 15–25.
In strong trends, you can skip Retest for faster entries.
NIFTY / BankNifty 3–5m (for options scalps)
Drive entries off the index chart; trade liquid weekly ATM/near-ATM options (delta ~0.35–0.5).
Stops/targets are assessed on the index, then executed on the option (premium moves ≈ delta × index move).
Time filter: avoid last 15–30 min unless momentum is very strong (theta).
Yearly Highs - 3 Years - GreenmoonYearly highs for current and L2 years. For 2025 would be 2025, 2024, and 2023 yearly highs.
RSI Buy/Sell SignalsThis indicator generates buy and sell signals based on the Relative Strength Index (RSI). It works by calculating the RSI value over a 14-period length and then checking if the RSI drops below 30 (oversold) or rises above 70 (overbought). When it’s oversold, the indicator plots a green upward arrow suggesting a potential buy. When it’s overbought, it plots a black downward arrow suggesting a potential sell. In essence, it helps traders spot possible reversal points using RSI levels directly on their charts. CME_MINI:NQ1!
One cushion backward movement① The price breaks through the MA at the body, confirming that it is there.
② After that, a reversal candlestick is confirmed, triggering a sign and alert.
*If the reversal candlestick returns to the MA at the body, no sign or alert will be issued.
*In other words, this is Granville's guideline #2. Or #1.
Dynamic ATR Based TP/SL Simple tool for creating the stop loss and take profit targets multiplied by ATR value.
Ajish MainChart BB Crossthis indicator is well working in index.when the bollingerband 20,0.1 cross 50 ema bull side or bearside it will gives you the trend change .
JASMY - Сетка усреднения"Author’s averaging stack for the JASMY asset.
Entry volume – 0.5
1st average – volume 1
2nd average – volume 1.5
3rd average – volume 3
4th average – volume 6
5th average – volume 12"
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Авторская стека усредyений для актив JASMY.
Объём входа - 0.5
1уср. - объём 1
2 уср. - объём 1,5
3 уср. - объём 3
4 уср. - объём 6
5 уср. - объём 12
TAKA Auto Retrace + SL v4.2Automatically detects market trend and displays dynamic retracement zones for buy-the-dip and sell-the-rally setups, with an adaptive Stop-Loss line.
⸻
⚙️ Logic Overview
• Trend Detection: Based on the relationship between SMA 20 and SMA 60
• Uptrend → Blue zone (Buy the Dip)
• Downtrend → Red zone (Sell the Rally)
• Retracement Levels: Auto-draws Fibonacci 0.382 – 0.618 range
• Stop-Loss Mode: Select from
• Fib 0.786 (default)
• Structure (last swing high/low)
• ATR-based (volatility adaptive)
⸻
🎯 How to Use
1️⃣ Add the indicator to your chart
2️⃣ Adjust len to fit the latest swing move
3️⃣ When price enters the zone, wait for a confirmation signal (arrow, BOS, MACD cross)
4️⃣ Enter after the 0.5 breakout
5️⃣ SL = auto-generated line
TP = 0.382 → 0.236 → 1.0 partial targets
⸻
🧩 Recommended Combo
N-Wave or Dow Theory × MACD × TAKA Retrace
= “Wait on the zone, strike on the signal.”
⸻
Short version (for compact description):
Auto trend detection via SMA 20/60.
Draws Fibonacci 0.382–0.618 zones with adaptive Stop-Loss (Fib / Structure / ATR).
Uptrend = Buy zone | Downtrend = Sell zone.
⸻
That fits TradingView’s description box and looks clean when published
市場トレンドを自動で判定し
「押し目買い」「戻り売り」ゾーンを自動表示
さらにボラティリティに対応した損切りラインも描画します
⸻
ロジック概要
• トレンド判定:SMA20とSMA60の関係で方向を判断
• 上昇トレンド → 青帯(押し目買い)
• 下落トレンド → 赤帯(戻り売り)
• リトレース描画:フィボナッチ0.382〜0.618を自動描画
• 損切り方式(選択可)
• Fib 0.786(基本形)
• Structure(直近高安)
• ATR(ボラティリティ対応)
⸻
使い方
1️⃣ チャートに追加
2️⃣ lenを調整し、直近のスイングに合わせる
3️⃣ 価格が帯に入ったらサイン(矢印・BOS・MACDクロス)を待つ
4️⃣ 0.5ライン突破でエントリー
5️⃣ SL=自動ライン / TP=0.382→0.236→1.0で分割利確
⸻
推奨組み合わせ
N波動 or ダウ理論 × MACD × TAKA Retrace
=「ゾーンで待ち、サインで撃つ」戦略
Last All-Time High (ATH) — By yarinit shows the recant all time high and then you can detact where was the recant all time high without searching it
Master Grader v2.4.2Master Scalp Trade Grader (v2.4.2 – Final Tweaks)
What it does
A lightweight scalp framework that grades trade quality in real time and marks entries / exits for you. The core bias is built from 8/21/50 EMAs (stack & slope), momentum is gated by RSI bands (bull ≥ rsiBull, bear ≤ rsiBear), and breakouts use a short lookback high/low. Optional volume filter requires volume ≥ its SMA(volLen). Trend strength is quantified with ADX, and risk is managed by an ATR×mult trailing stop. The on-chart Info Box shows Bias, Grade, Trend Strength, Exit Level, and % of Avg Volume.
How it works (signal logic)
Bias: Bull if 8>21>50 and 21/50 sloping up; Bear if 8<21<50 and sloping down; else Neutral.
Entries:
Long: new Bull bias + breakout above highest-high(breakLook) + RSI ≥ rsiBull (+ optional vol filter).
Short: new Bear bias + breakdown below lowest-low(breakLook) + RSI ≤ rsiBear (+ optional vol filter).
Trailing stop: ATR(atrLen) × atrMult, flips to the favorable side and trails with trend.
Exits:
Stop exit: price crosses the ATR trail.
Weak exit: ADX < adxStrong and 8/21 cross against you.
Grading
A: Strong Hold → Bias active and (ADX > adxStrong) and RSI in the correct zone.
B: Moderate Hold → Bias active and ADX > 20.
C: Weakening → Bias active but strength fading.
EXIT SIGNAL → Stop/weak exit triggered.
D: No Trend → No bias.
Visuals & Alerts
Colored bars: Bull = green, Bear = red.
Plots: 8/21/50 EMAs (custom colors), ATR trail, and entry/exit markers.
Info Box (top-right): Bias • Grade • ADX (Strong/Weak) • Exit Level • Volume vs Avg.
Alerts: Long Entry, Short Entry, Exit Signal (ready for webhooks).
Inputs (quick)
EMAs: 8/21/50 • RSI: rsiLen, rsiBull, rsiBear • Breakout lookback • Volume SMA + toggle • ADX length/threshold • ATR length/multiplier • Colors/toggles for EMAs, ATR trail, Info Box.
Notes
Designed for scalps / fast swings; works on 1–15m and up.
Best results when bias + breakout + RSI + (optional) volume all agree.
Use the ATR trail for mechanical exits; downgrade to B/C as early caution.
Advanced HMM - 3 States CompleteHidden Markov Model
Aconsistent challenge for quantitative traders is the frequent behaviour modification of financial
markets, often abruptly, due to changing periods of government policy, regulatory environment
and other macroeconomic effects. Such periods are known as market regimes. Detecting such
changes is a common, albeit difficult, process undertaken by quantitative market participants.
These various regimes lead to adjustments of asset returns via shifts in their means, variances,
autocorrelation and covariances. This impacts the effectiveness of time series methods that rely
on stationarity. In particular it can lead to dynamically-varying correlation, excess kurtosis ("fat
tails"), heteroskedasticity (volatility clustering) and skewed returns.
There is a clear need to effectively detect these regimes. This aids optimal deployment of
quantitative trading strategies and tuning the parameters within them. The modeling task then
becomes an attempt to identify when a new regime has occurred adjusting strategy deployment,
risk management and position sizing criteria accordingly.
A principal method for carrying out regime detection is to use a statistical time series tech
nique known as a Hidden Markov Model . These models are well-suited to the task since they
involve inference on "hidden" generative processes via "noisy" indirect observations correlated
to these processes. In this instance the hidden, or latent, process is the underlying regime state,
while the asset returns are the indirect noisy observations that are influenced by these states.
Session Boxes & Key Levels (Daily Prev HL)Session Boxes & Key Levels
Draws intraday session ranges and key higher-timeframe levels to aid structure and bias.
Session boxes: Shades the Asia, Europe, and US sessions with live-updating highs/lows. Timezone is user-selectable.
Previous Day levels (PDH/PDL): Plots yesterday’s Daily high and low, auto-extends across the current day.
Previous Week levels (PWH/PWL): Plots last week’s high and low, auto-extends across the current week.
Works on any timeframe and updates in real time; labels are added for quick identification.
Use it to spot session ranges, liquidity sweeps, and reactions at prior day/week extremes.
Daily High/Low/Mid + Open + Session VWAP + Bollinger BandsVery good indicator for proper price action trading. try it...
Session First 15-Min High/LowHere's a professional description for your 15-minute indicator:
Session First 15-Min High/Low Marker
This indicator automatically identifies and marks the high and low price levels established during the first 15 minutes of major trading sessions, providing traders with broader opening range support and resistance zones for intraday analysis.
Key Features:
Tracks three major trading sessions in IST (Indian Standard Time):
Asian Session: 5:30 AM - 5:45 AM
London Session: 12:30 PM - 12:45 PM
New York Session: 5:30 PM - 5:45 PM
Draws horizontal lines at the highest and lowest prices reached during each session's opening 15-minute window
Color-coded for easy identification (Green for Asian, Blue for London, Red for New York)
Lines extend across the chart to help track price reactions throughout the day
Clean, minimal design with optional labels
Best Used For:
Identifying stronger intraday support and resistance levels with a wider opening range
Session breakout and reversal trading strategies
Understanding institutional order flow during market opens
Works on 1-minute timeframe for precise tracking (15 candles) or 5-minute timeframe (3 candles)
Why 15 Minutes vs 5 Minutes? The 15-minute opening range captures more price action and market participation, often providing more reliable support/resistance levels than the narrower 5-minute range. This makes it ideal for swing traders and those looking for higher-probability trade setups.
Customizable Settings:
Toggle line extensions on/off
Adjust line width (1-2)
Change colors for each session
Show/hide session labels
Perfect for day traders and position traders who want to identify high-probability support/resistance zones established during the critical opening 15 minutes of major trading sessions when liquidity and volatility are highest.
This description highlights the difference between the 5-minute and 15-minute versions and explains the practical benefits of the wider range.