ma+ko Arrowsma+ko ARROWS is a clean Supertrend-based indicator that generates precise BUY and SELL arrows without repainting after candle close.
广量指标
AG_STRATEGY📈 AG_STRATEGY — Smart Money System + Sessions + PDH/PDL
AG_STRATEGY is an advanced Smart Money Concepts (SMC) toolkit built for traders who follow market structure, liquidity and institutional timing.
It combines real-time market structure, session ranges, liquidity levels, and daily institutional levels — all in one clean, professional interface.
✅ Key Features
🧠 Smart Money Concepts Engine
Automatic detection of:
BOS (Break of Structure)
CHoCH (Change of Character)
Dual structure system: Swing & Internal
Historical / Present display modes
Optional structural candle coloring
🎯 Liquidity & Market Structure
Equal Highs (EQH) and Equal Lows (EQL)
Marks strong/weak highs & lows
Real-time swing confirmation
Clear visual labels + smart positioning
⚡ Fair Value Gaps (FVG)
Automatic bullish & bearish FVGs
Higher-timeframe compatible
Extendable boxes
Auto-filtering to remove noise
🕓 Institutional Sessions
Asia
London
New York
Includes:
High/Low of each session
Automatic range plotting
Session background shading
London & NY Open markers
📌 PDH/PDL + Higher-Timeframe Levels
PDH / PDL (Previous Day High/Low)
Dynamic confirmation ✓ when liquidity is swept
Multi-timeframe level support:
Daily
Weekly
Monthly
Line style options: solid / dashed / dotted
🔔 Built-in Alerts
Internal & swing BOS / CHoCH
Equal Highs / Equal Lows
Bullish / Bearish FVG detected
🎛 Fully Adjustable Interface
Colored or Monochrome visual mode
Custom label sizes
Extend levels automatically
Session timezone settings
Clean, modular toggles for each component
🎯 Designed For Traders Who
Follow institutional order flow
Enter on BOS/CHoCH + FVG + Liquidity sweeps
Trade London & New York sessions
Want structure and liquidity clearly mapped
Prefer clean charts with full control
💡 Why AG_STRATEGY Stands Out
✔ Professional SMC engine
✔ Real-time swing & internal structure
✔ Session-based liquidity tracking
✔ Non-cluttered chart — high clarity
✔ Supports institutional trading workflows
Trend scalping ROVTradingOnly trading with bullish or bearish trend. Working fine at m5 and m15 time frame
XAUUSD Multi-Timeframe Supertrend Alert v2**Indicator Overview: XAUUSD Multi-Timeframe Supertrend Alert v2**
**Core Components:**
1. **Multi-Timeframe Supertrend System**
   - Two Supertrend indicators (ST1 & ST2) with customizable timeframes
   - ST1 typically set to Daily, ST2 to Weekly as main trend
   - Visualized with distinct colors and background fills
2. **Customizable SMA**
   - Adjustable period and timeframe
   - Plotted as blue line for additional trend reference
3. **Neutral Zone System**
   - Creates a neutral line offset from ST1 by customizable tick distance
   - Yellow dashed line that adjusts based on ST1 trend direction
   - **Alert Conditions:**
     - **Test Buy Zone**: Both ST1 & ST2 in uptrend AND price enters neutral zone above ST1
     - **Test Sell Zone**: Both ST1 & ST2 in downtrend AND price enters neutral zone below ST1
4. **Distance Lines from ST2**
   - Upper/lower lines at customizable tick distance from ST2
   - Purple dashed lines with touch alerts
**Trading Signals:**
- **Bullish Signal**: Price above ST2 but below ST1 (potential buy)
- **Bearish Signal**: Price below ST2 but above ST1 (potential sell)
- **Neutral Zone Alerts**: Price enters defined zone when both trends align
- **Line Touch Alerts**: Price touches distance lines from ST2
**Alert System:**
- Limited to 3 consecutive alerts per signal type
- Visual markers (triangles, diamonds, circles)
- Background coloring for signal zones
- Separate alert conditions for each signal type
**Visual Features:**
- Candles colored green/red based on signals
- Clear trend visualization with colored backgrounds
- Real-time alert markers without information table clutter
This indicator provides multi-timeframe trend analysis with precise entry zone detection and comprehensive alert system for XAUUSD trading. SAM89 M15, ST1 (5:10) M5, ST2 ( 1,5:20) H1, Test Buy Sell 7000, Line 15000
RSI potente 2.0rsi mas refinado e indicadores correctos a corto ,mediano y largo plazo .. el mejor indicador
Precision Intraday – Daniel Cohérence multi-timeframe
Le fond vert/rouge montre que le biais H1 influence bien le scalping M5.
Tu trades maintenant dans le sens de la tendance supérieure, ce qui élimine la majorité des faux signaux.
Lisibilité immédiate
La superposition couleur/fond rend l’interprétation ultra rapide :
tu sais en 1 seconde si tu dois chercher un BUY ou un SELL.
Les triangles “BUY” / “SELL” confirment la confluence WT + ADX + Tendance.
Précision des zones
Les entrées “SELL” coïncident avec des micro-pullbacks sur EMA 50 / 200.
++++++++
Multi-Timeframe Consistency
The green/red background clearly shows that the H1 bias is guiding your M5 scalping decisions.
You’re now trading in the direction of the higher-timeframe trend, which eliminates most false signals.
Instant Readability
The overlapping background and candle colors make interpretation instantaneous —
you can tell in one second whether you should be looking for a BUY or a SELL setup.
The “BUY” and “SELL” triangles confirm the confluence between WT, ADX, and Trend signals.
Zone Precision
The SELL entries align perfectly with micro-pullbacks around the EMA 50 / EMA 200 levels.
RSI Confluence (14 + 7) – Daniel Pour éviter trop d'indicateur j'ai créer la combinaison des 2 RSI  7 & 14 pour le Timeframe H1,M15 & M5
1. Timeframe optimal
Le RSI (14) ou Volume-Weighted RSI doit être placé sur :
Timeframe	Rôle du RSI
H1	Filtre directionnel : si RSI > 60 → biais haussier, si < 40 → biais baissier.
M15	Confirme le momentum moyen : attendre le rejet sur 40–60 dans le sens du H1.
M5	Sert à confirmer le timing d’entrée avec WT (WaveTrend). Entrée idéale quand RSI repart du bord 40/60 en même temps que WT repart dans la même direction.
💡 Sur M5, c’est le plus utile : il te permet d’éviter les divergences WT trop précoces (faux signaux avant que le marché ne parte vraiment).
H1 – Directional Filter (Main Trend)
Purpose: Identify the dominant bias (bullish or bearish).
Key reading:
RSI > 60 → Bullish bias → only look for buys on M15/M5.
RSI < 40 → Bearish bias → only look for sells on M15/M5.
Advanced tip: Draw a neutral zone (40–60) → if RSI stays inside it, the market is ranging (no clear trend).
Visual tip: Add a soft gray band between 40 and 60 for clarity.
⏱️ M15 – Momentum Confirmation
Purpose: Confirm that the medium-term momentum aligns with the H1 bias.
Key reading:
When RSI M15 rejects 40 (bullish rebound) in an H1 bullish bias, it’s a buy confirmation.
When RSI M15 rejects 60 (bearish rebound) in an H1 bearish bias, it’s a sell confirmation.
Timing: Avoid entries until M15 confirms the rejection.
Optional: Apply a smoothed RSI (EMA 9) to visualize momentum swings more clearly.
⏳ M5 – Entry Timing
Purpose: Synchronize entries with the WaveTrend (WT) indicator.
Key reading:
Ideal entry when RSI bounces off 40/60 in the same direction as WT.
Example: RSI M5 rebounds from 40 and WT crosses up → perfect buy entry.
Conversely, RSI M5 turns down from 60 and WT crosses down → perfect sell entry.
Advantage: Helps avoid early WT divergences (false signals before the move truly starts).
Advanced filter: Combine with ADX > 25 to confirm market strength.
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting.
Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting)
Credits
- Author: yuu_iu
- Producer: yuu_iu
- Platform: TradingView (Pine Script v5)
1) What it is
Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from:
- Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout
- Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take
- Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression
- Learning engine: Runs short “fake trades” to learn safely before scaling real trades
It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT.
2) How it works (high level)
- Each module computes a score per bar.
- A fusion layer combines module scores using accuracy and base weights, then adjusts by:
  - Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias
  - Risk control neuron
  - Context memory (ticker/sector/regime)
- Optional LLM mode can override marginal cases if context supports it.
- Final decision is taken at bar close only (no intrabar repaint).
3) Non‑repainting guarantee (Daily)
- Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes.
- No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI.
- Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes.
What this means: Once the daily bar closes, the decision and alert won’t be repainted.
4) Setup (TradingView)
- Paste the Pine v5 code into Pine Editor, click Add to chart.
- Timeframe: 1D (Daily).
- Optional: enable a date window for training/backtest
  - Enable Custom Date Filter: ON
  - Set Start Date / End Date
- Create alert (non‑repainting)
  - Condition: AI TRADE Signal
  - Options: Once Per Bar Close
  - Webhook (optional): Paste your URL into “System Webhook URL (for AI events)”
- Watch the UI
  - On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT
  - Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc.
  - “AI Thoughts” label: brief reasoning and debug lines.
5) Daily trading workflow
- The model evaluates at daily close and may:
  - Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks
  - Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision
- Learning mode:
  - Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars
  - Improves module accuracies and adjusts aggression once stable (min fake win% threshold)
- Memory application:
  - When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression.
6) Tuning (what to adjust and why)
Core controls
- Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2).
- Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact.
- Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades.
- Fake Trade Every N Bars (default 3): Frequency of learning attempts.
- Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning.
- Hard Stop Loss (%) (default 5–8%): Global emergency stop.
Multi‑Timeframe (MTF)
- Enable Multi‑Timeframe Confirmation: ON (recommended for Daily)
- HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer)
- HTF Timeframe: D or 240 (for a strong bias)
- MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced)
Module toggles and base weights
- In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical)
- In sideways low‑vol regimes: raise MeanRev (0.2–0.3)
- For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each)
- Keep Flow on as a volume‑quality filter (≈0.2)
Memory and control
- Enable Shared Memory Across Tickers: ON to share learning
- Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies
- Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically
Risk management
- Hard Stop Loss (%): 5–8% typical on Daily
- Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes
- Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk
Alerts and webhook
- Use AI TRADE Signal with Once Per Bar Close
- Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc.
7) Recommended Daily preset (VN equities)
- MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3
- Aggression: 1.1
- Learning Speed: 3
- Min Fake Win Rate to Exit Learning: 15%
- Hard SL: 6%
- Base Weights:
  - VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20
  - MeanRev 0.20 (raise in sideways)
  - Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20
- Leave other defaults as is, then fine‑tune by symbol/sector.
8) Reading the UI
- Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active.
- Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar)
- “AI Thoughts”: module contributions, context notes, debug lines
9) Troubleshooting
- No trades?
  - Ensure timeframe is 1D and the date filter covers the chart range
  - Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close)
  - If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights
- Too many/too few trades?
  - Lower/raise Base Aggression Level
  - Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective)
- Learning doesn’t end?
  - Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars
10) Important notes
- The strategy is non‑repainting at bar close by design (confirmed bars + HTF series  + close‑only alerts).
- Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies.
- Always validate settings across multiple symbols and regimes before going live.
If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
10 EMA + 20 EMA + Previous Day High/Low (Day-Bounded)it gives the reand and also plot the day's lowest volume.it is very helpful in reversals
RSI Divergence 1-20 Candlesthis is a rsi divergence setup used to see where all divergenece is rsi is formed. so this will help to trade.
RSI Divergence 1-20 Candlesthis is a good divergence candle indicator to show divergences in the candles.
RSI Divergence 1-2 Candlesthis is a rsi divergence indicator which shows how to trade divergences which in normal eyes is difficult
McRoulio (Monthly Anchored VWAPs)The McRoulio indicator is designed to provide a clear view of market value relative to the current and previous month's starting points. It must be used on intraday timeframes (like 1H, 4H, 15m) to function correctly.
All VWAP calculations use (O+H+L+C)/4 as the price source.
Here is what the indicator does:
⚪ Current Month VWAP (Thick White Line)
     Anchored to the 1st (00:00) of the current month.
     Includes 1.0 Standard Deviation bands.
     Displays a "Mcwrap" label. 🔴 Last Month VWAP (Orange Line)
     Anchored to the 1st (00:00) of the previous month.
     This line is only visible for the duration of that previous month, allowing for historical reference. ⏳ Previous VWAP Level (Horizontal Orange Line)
 This line shows the final, settled price of the previous month's VWAP.
     It is only visible between the 27th of the month and the 3rd of the next month, highlighting a potential support/resistance zone during the "turn of the month."
     Displays a "Mcwrap Mois dernier" label.  Trolled par le gap & le mcwrap 😘
MAHAR K Stochastic IndicatorWhat It Does
%K line calculates fast stochastic of _src over length, then re-smoothed twice: sk (smoothK), %D (smoothD), and slower %F (smoothF).
Plots the three lines, draws 80/50/20 bands, and highlights extreme values by drawing red circles when sk hits 100 and green when it hits 0.
Notable Details
sma_signal chooses the smoothing kernel (SMA, EMA, WMA, DEMA). ma() delegates to the selected function and contains a VWMA branch even though VWMA is not listed in the input options.
A custom dema() helper implements the classic double EMA.
stOBOS is always true, so the ternary wrappers around the circle plots can be simplified.
Risk / Edge Cases
If highestHigh == lowestLow (flat price over the window) the %K calculation divides by zero, yielding na. Consider guarding against that or defaulting to previous values.
To actually expose VWMA, add it to the input options; otherwise remove the dead code branch.
Next Steps
Decide whether to safeguard the denominator before plotting.
Align the smoothing options with the available choices and prune the redundant conditionals if desired.
EMA6 or SMA6 Touch AlertThis script monitors the market and notifies you whenever the price touches either the 6-period EMA or the 6-period SMA.
It helps identify potential pullbacks, reaction points, or entry zones, as price interaction with these moving averages often signals short-term market shifts.
What the script does:
Calculates the EMA 6 and SMA 6
Detects if price touches either moving average within the candle
Plots both lines on the chart for visibility
Allows you to set alerts to receive automatic notifications
Best suited for:
Scalping
Day Trading
Pullback Entries
Short-term trend reactions
ASTER Key Levels & Alerts (Improved)TradingView Script Description
Title: ASTER Key Levels & Alerts (Improved)
Description:
Enhance your trading strategy with the "ASTER Key Levels & Alerts" indicator, designed for precision and decision-making on the Aster chart (e.g., ASTS). This Pine Script v6 tool overlays customizable key levels and zones to identify optimal entry, exit, and stop-loss points, complete with real-time alerts.Key Features:
Customizable Levels: Adjust add zones (Light & Main), breakout, stop, and take-profit (TP1-TP3
ATRThis script displays the Average True Range (ATR) value and the ATR as a percentage of the current closing price directly on the main chart as a clean table, with no lines or plots. It allows users to easily monitor both absolute volatility and its relative magnitude, making comparisons across different assets intuitive. The display position is customizable, offering flexibility for personal chart layouts. Ideal for traders seeking quick volatility insights, risk management guidance, or portfolio-wide comparisons.
Enhanced Price Direction Predictor📊 Core Mechanism: Rule-Based Scoring:
The indicator relies on a simplified scoring model where it checks for nine specific conditions on the bullish side and nine corresponding conditions on the bearish side.
Bullish/Bearish Score Calculation:The script initializes bullish_score and bearish_score to $0.0$.It then checks a predefined list of features (e.g., $5$-period Rate of Change, $5/20$ EMA crossover, RSI level, Order Flow direction) and adds a fixed point value (weight) to the appropriate score if the condition is met.
Overbought/Oversold Penalty:It includes a built-in risk-management element by applying a $-0.10$ penalty if the RSI is in extreme territory:RSI(14) $>$ 70 (Overbought) $\rightarrow$ Penalty to bullish_score.RSI(14) $<$ 30 (Oversold) $\rightarrow$ Penalty to bearish_score.
Probability Conversion:The probability_up is calculated by taking the ratio of the bullish_score to the total_score (sum of bullish and bearish scores):$$\text{Probability\_Up} = \frac{\text{Bullish\_Score}}{\text{Bullish\_Score} + \text{Bearish\_Score}}$ MIL:IF  the total_score is zero (i.e., no strong conditions are met), the probability defaults to $0.5$ (neutral).
⚡ Zero-Lag 60s Binary Predictor🧠 Core Anti-Lag Philosophy
The indicator's primary goal is to overcome the inherent lag of traditional indicators like the Simple Moving Average (SMA) or standard Relative Strength Index (RSI). It achieves this by focusing on:
Leading Indicators: Using derivatives of price/momentum (like acceleration and jerk—the second and third derivatives of price) to predict turns before the price action is clear.
Instantaneous Metrics: Using short lookback periods (e.g., ta.change(close, 1) or fastLength = 5) and heavily weighting the most recent data (e.g., in instMomentum).
Market Microstructure: Incorporating metrics like Tick Pressure and Order Flow Imbalance (OFI), which attempt to measure internal bar dynamics and buying/selling aggression.
Zero-Lag Techniques: Specifically, the Ehlers Zero Lag EMA, which is mathematically constructed to eliminate phase lag by predicting where the price will be rather than where it was.
Relative Volume (Multi-TF, D, W, M)Relative Volume (Multi-TF, Candle-Matched Colors)
This indicator measures Relative Volume (RVOL) — the ratio of current volume to average historical volume — across any higher timeframe (Daily, Weekly, or Monthly) and displays it as color-coded columns that match the candle colors of the chart you’re viewing.
RVOL reveals how active today’s market participation is compared to its typical rhythm.
RVOL = 1.0 → normal volume
>1.5 → rising interest
>2.0–3.0 → strong institutional participation
>5.0 → climax or exhaustion levels
Features
Works on any chart timeframe while computing RVOL from your chosen higher timeframe (e.g., show Daily RVOL while trading on a 5-minute chart).
Column colors automatically match your chart’s candle colors (green/red/neutral).
Adjustable lookback period (len) and selectable source timeframe (D, W, or M).
Pre-drawn horizontal guide levels at 1.0, 1.2, 1.5, 2, 3, and 5 for quick interpretation.
Compatible with all chart types, including Heikin Ashi or custom color schemes.
Typical Use
Swing trading:
Look for quiet bases where RVOL stays 0.4–0.9, then expansion ≥2 on breakout days.
Confirm follow-through when green days keep RVOL ≥1.2–1.5 and red pullbacks stay below 1.0.
Day trading:
Watch intraday RVOL (on 1–5m charts) for bursts ≥2 that sustain for several bars — this signals crowd engagement and valid momentum.
Interpretation Summary
RVOL Value	Meaning	Typical Action
0.4–0.9	Quiet base / low interest	Watch for setup
1.0	Normal activity	Neutral
1.2–1.5	Valid participation	Early confirmation
2–3	Strong expansion	Momentum / breakout
≥5	Climax / exhaustion	Take profits or avoid new entries
Author’s note:
RVOL isn’t directional; it tells how many players are active, not who’s winning. Combine it with structure (levels, VWAP, or trend) to see when the market crowd truly commits.






















