GSS: Gold Swing Sniper [DoNotFollowMeGod]"Inspired by Mean Reversion Theory and Dynamic Volatility Bands (similar to Keltner/Bollinger concepts).
Gold (XAUUSD) tends to respect volatility extremes. This script was designed to capture those extremes by combining a Volatility Channel with an ADX Strength Filter. It’s basically a mathematical approach to 'Buying Low and Selling High' in a ranging market."
Most traders lose money when the market stops trending. This indicator fixes that by identifying "Range-Bound" conditions using a smart ADX Filter.
How it works:
Market State Detection: It checks the ADX. If the market is trending strong, it stays quiet. If the market is chopping/ranging, it activates.
Sniper Entries:
SWING LONG: When price hits the lower band + RSI Oversold + Rejection Candle.
SWING SHORT: When price hits the upper band + RSI Overbought + Rejection Candle.
Dashboard: A clean Multi-Timeframe table to see if higher timeframes are Trending or Sideways.
Disclaimer:
This tool is a "Shield" against chop. Do not use it during high-impact news.
Based on volatility band logic.
Indicateurs et stratégies
Institutional Engine SAFEThe Institutional HTF → LTF Execution Engine is a multi-timeframe trading indicator designed to identify high-probability institutional-level entries by analyzing higher timeframe (HTF) trends and projecting them onto lower timeframe (LTF) charts.
This tool integrates trend analysis, liquidity sweeps, fair value gaps, intermarket divergence, and risk management to provide traders with actionable BUY and SELL signals. It is ideal for day traders, scalpers, and swing traders seeking structured entries aligned with larger market flow.
AI Gamma Levels - Options Flow Signals# AI Gamma Levels - Options Flow Signals
## 📊 Overview
An educational indicator that estimates institutional options positioning using price action, volume analysis, and technical indicators. Designed to help traders identify key support and resistance zones based on gamma exposure concepts commonly used by market makers and institutional traders.
## 🎯 Key Features
**Gamma Flip Level (⚡)**
- Neutral zone where market maker hedging behavior changes
- Calculated using VWAP and price action
- Acts as dynamic pivot point for intraday trading
**Call Wall (🔴)**
- Resistance zone from heavy call seller positioning
- Identifies where upward price movement may stall
- Based on recent highs + ATR-adjusted volatility
**Put Support (🟢)**
- Support zone from put seller positioning
- Shows where downward moves may find buyers
- Calculated from recent lows with volatility adjustment
**AI Trade Signals (🔮)**
- Multi-factor confluence detector with confidence scoring
- Only triggers on high-probability setups (70%+ confidence)
- Provides clear entry, stop loss, and target levels
- Combines gamma regime, RSI, volume, and price proximity
**Regime Detection**
- Identifies Positive Gamma (bullish bias) vs Negative Gamma (volatile) environments
- Background coloring shows current market regime
- Helps adapt trading strategy to market conditions
**Trading Zone Visualization**
- Shaded area between Call Wall and Put Support
- Shows expected trading range based on gamma positioning
- Zone width indicates market compression or expansion
## 🧠 How AI Signals Work
The AI signal layer analyzes multiple factors simultaneously:
1. **Gamma Regime Alignment** - Price position relative to Gamma Flip
2. **Level Proximity** - Distance to Put Support or Call Wall
3. **Momentum Extremes** - Fast RSI showing oversold/overbought
4. **Volume Confirmation** - Above-average volume on the setup
5. **Price Action Quality** - Bar range and volatility characteristics
Signals only trigger when ALL conditions align, reducing noise and false signals.
**BUY Signal Requirements:**
- Price above Gamma Flip (positive regime)
- Near Put Support (within 0.5%)
- RSI < 35 (oversold)
- Volume spike (1.4x average)
- Confidence ≥ 70%
**SELL Signal Requirements:**
- Price below Gamma Flip (negative regime)
- Near Call Wall (within 0.5%)
- RSI > 65 (overbought)
- Volume spike (1.4x average)
- Confidence ≥ 70%
## 📈 How to Use
**For Day Trading:**
- Watch for bounces at Put Support in positive gamma regime
- Look for resistance at Call Wall in negative gamma regime
- Use AI signals for high-conviction entries with clear risk levels
**For Swing Trading:**
- Monitor zone width for compression/expansion cycles
- Enter when price returns to zone edges with AI confirmation
- Use Gamma Flip as trailing stop reference
**For Options Traders:**
- Identify where institutional gamma is concentrated
- Anticipate pinning behavior near expiration
- Understand market maker hedging flow impact on price
## ⚙️ Customization
**Display Settings:**
- Toggle individual levels on/off
- Show/hide trading zone shading
- Enable/disable AI signals
**Calculation Parameters:**
- Lookback Period (5-100 bars) - adjusts level sensitivity
- Volatility Multiplier (0.5-3.0) - widens/tightens zones
- AI Confidence Threshold (60-90%) - signal selectivity
**Visual Customization:**
- Custom colors for all levels
- Adjustable transparency for zones
- Label size and positioning
## 📊 Info Table
Real-time dashboard showing:
- Current Gamma Flip price
- Call Wall resistance level
- Put Support level
- Active gamma regime
- Trading zone width (%)
- AI signal status and confidence
## 🔔 Built-in Alerts
Set alerts for:
- Gamma Flip crossovers
- Price approaching Call Wall
- Price approaching Put Support
- AI BUY signal triggered
- AI SELL signal triggered
## 📚 Educational Background
**What is Gamma Exposure?**
Gamma measures how fast market makers must hedge their options positions as price moves. Large gamma concentrations create support/resistance as dealers buy into weakness and sell into strength.
**Positive vs Negative Gamma:**
- **Positive Gamma** (above Gamma Flip): Market makers hedge by stabilizing price
- **Negative Gamma** (below Gamma Flip): Market makers hedge by amplifying moves
**Call Walls & Put Supports:**
Heavy open interest at specific strikes creates "walls" where price tends to gravitate toward or bounce away from, especially near expiration.
## ⚠️ Important Notes
**This indicator uses price and volume approximations**, not real options chain data. It demonstrates gamma exposure concepts for educational purposes.
**For true options flow analysis**, consider using platforms with access to real-time open interest, options volume, and Greeks data.
**Risk Management:** Always use proper position sizing, stop losses, and never risk more than you can afford to lose. This indicator should be one tool in your complete trading strategy.
**Not Financial Advice:** This is an educational tool. Past performance does not guarantee future results. Always do your own research and consider consulting with a qualified financial advisor.
## 💡 Best Practices
1. Combine with your existing strategy - don't trade signals blindly
2. Use on liquid stocks/indices with active options markets
3. Pay attention to regime changes at Gamma Flip crossovers
4. Higher timeframes (15m, 1H, 4H) tend to be more reliable
5. Adjust parameters based on the asset's typical volatility
6. Wait for AI signals with 75%+ confidence for highest quality setups
## 🎓 Who This Is For
- Options traders seeking to understand institutional positioning
- Day traders looking for high-probability support/resistance
- Swing traders identifying key zone boundaries
- Anyone interested in learning about gamma exposure impact on price
- Traders wanting AI-assisted trade signal confirmation
---
**Happy Trading! If you find this indicator helpful, please leave a like and comment with your feedback.**
james S/R Trend Pro v6//@version=6
strategy("jaems_MACD+RSI ", shorttitle="jaems_MACD+RSI ", overlay=false, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10, commission_type=strategy.commission.percent, commission_value=0.05, calc_on_every_tick=false)
// =============================================================================
// 1. 설정 (Inputs)
// =============================================================================
group_macd = "📊 MACD 설정"
fastLen = input.int(12, "Fast Length", group=group_macd)
slowLen = input.int(26, "Slow Length", group=group_macd)
sigLen = input.int(9, "Signal Smoothing", group=group_macd)
src = input.source(close, "Source", group=group_macd)
group_col = "🎨 시각화 색상"
col_up = input.color(color.new(#00E676, 0), "상승 (Neon Green)", group=group_col)
col_dn = input.color(color.new(#FF1744, 0), "하락 (Red)", group=group_col)
col_sig = input.color(color.new(#FFEA00, 0), "Signal 기본색", group=group_col)
// =============================================================================
// 2. 계산 (Calculations)
// =============================================================================
fastMA = ta.ema(src, fastLen)
slowMA = ta.ema(src, slowLen)
macd = fastMA - slowMA
signal = ta.ema(macd, sigLen)
hist = macd - signal
// 교차 확인 (Crossovers)
bool crossUp = ta.crossover(macd, signal)
bool crossDn = ta.crossunder(macd, signal)
// 추세 상태 확인
bool isBullish = macd >= signal
// =============================================================================
// 3. 전략 실행 (Execution)
// =============================================================================
if crossUp
strategy.entry("Long", strategy.long)
if crossDn
strategy.entry("Short", strategy.short)
// =============================================================================
// 4. 시각화 (Visualization) - 수정된 부분
// =============================================================================
// 4.1 MACD 라인 색상 동적 변경
color macdDynamicColor = isBullish ? col_up : col_dn
// 4.2 라인 그리기
plot(macd, title="MACD Line", color=macdDynamicColor, linewidth=2)
plot(signal, title="Signal Line", color=col_sig, linewidth=1)
// 4.3 교차점 도트 (Thick Dots) - 괄호 오류 방지를 위해 명시적 변수 할당
float dotLevelUp = crossUp ? signal : na
float dotLevelDn = crossDn ? signal : na
plot(dotLevelUp, title="Golden Cross Dot", style=plot.style_circles, color=col_up, linewidth=5)
plot(dotLevelDn, title="Dead Cross Dot", style=plot.style_circles, color=col_dn, linewidth=5)
// 4.4 히스토그램 색상 (오류 수정: 중첩 삼항연산자 제거 -> if-else 변환)
color histColor = na
if isBullish
// 상승 추세일 때: 히스토그램이 직전보다 커지면 진한색, 작아지면 연한색
if hist < hist
histColor := col_up
else
histColor := color.new(col_up, 50)
else
// 하락 추세일 때: 히스토그램이 직전보다 커지면(덜 음수면) 연한색, 작아지면 진한색
if hist < hist
histColor := color.new(col_dn, 50)
else
histColor := col_dn
plot(hist, title="Histogram", style=plot.style_columns, color=histColor)
// 4.5 기준선
hline(0, "Zero Line", color=color.gray, linestyle=hline.style_dotted)
SOFT V2PV_Pivot _Validation FAST_SLOWSOFT V2PV is a market structure indicator based on confirmed price pivots, combining two independent detection engines:
• FAST engine: early detection (more signals, lower reliability)
• SLOW engine: delayed detection (fewer signals, higher reliability)
• CONFIRMED signals: validated when FAST and SLOW agree within a confirmation window
Main features:
- Pivot labels marking structural turning points
- Validation labels displayed on the confirmation candle (not on the pivot bar)
- Configurable vertical stacking for FAST / SLOW / CONFIRMED labels
- Reliability score table (LOW / MED / HIGH)
- Built-in TradingView alerts (FAST, SLOW, CONFIRMED, ANY signal)
Signal interpretation:
LOW (FAST) → aggressive / early signal
MED (SLOW) → more reliable structural signal
HIGH (CONFIRMED) → high-probability setup (FAST + SLOW)
The indicator is designed for intraday and swing trading.
It works on all markets: indices, forex, crypto, commodities, and metals.
⚠️ Important notes:
- Pivot points are confirmed only after a defined number of bars (ZigZag-like logic).
- Signals are plotted only after confirmation.
- No intentional repainting: once a signal is displayed, it does not move or disappear.
TSS : Trend Sniper System [DoNotFollowMeGod]"Inspired by classic Tunnel Strategies"
Tunnel Green + Label Blue/Green = LONG
Tunnel Red + Label Red/Maroon = SHORT
Trade safe. Risk management is key.
CURRY HEDGEFUND PRO (MTF/VWAP/ADX + Tight Trail) [no ta.adx]Improved HedgeFund Pro Script by Tony Curry for momentum and reversal trading. Primarily focused on ADX and directional movement.
Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using:
📊 DATA ACCURACY LEVELS:
• 1T (Tick) — Most accurate, real volume distribution per tick
• 1S (1 Second) — Reasonably accurate approximation
• 15S (15 Seconds) — Good approximation, longer historical data available
• 1M (1 Minute) — Rough approximation, maximum historical data range
⚠️ BACKTEST & REPLAY LIMITATIONS:
• Replay mode results may differ from live trading due to data availability
• For longer back test periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
💡 A NOTE ON TOOLS:
Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure.
📌 OVERVIEW
Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action.
The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups.
⚡ KEY FEATURES
🎯 16-Pattern Scenario Engine
Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps.
💰 Trade Advisor Panel
Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations.
📊 Volume Engine
Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis.
📈 CVD (Cumulative Volume Delta)
Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences.
🎯 Stop-Hunt Detection
Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing.
📐 Pure Structure Trend Engine
Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators.
⚡ Effort vs Result Analysis
Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion.
🎯 SCENARIO ENGINE — 16 Market Patterns
The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios:
Continuation Scenarios (1-3)
1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation.
2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor.
3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation.
Reversal Scenarios (4-6, 13-16)
4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected
at a level, potential reversal.
5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen.
6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading.
13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal.
14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal.
15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move.
16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move.
Range/Stalemate Scenarios (7-9)
7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning.
8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle.
9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout.
Pre-Breakout Scenarios (10-12)
10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing.
11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing.
12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected.
💰 TRADE ADVISOR ENGINE
The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system:
Scoring Weights:
• Scenario Signal: 30%
• Trend Alignment: 20%
• CVD Momentum: 15% + Divergence Bonus
• Pin Forces: 15%
• Liquidity Sweep: 12%
• Stop-Hunt Detection: 10%
• Effort vs Result: 10%
Possible Actions:
• ⏳ WAIT — Edge not strong enough (stay patient)
• 🟢 LONG ENTRY — Buyers have strong advantage + signals align
• 🔴 SHORT ENTRY — Sellers have strong advantage + signals align
• ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip)
• 🛑 STOP LOSS — Price hit risk threshold
• 💰 TAKE PROFIT — Target threshold reached
📊 EXTENDED INFO PANEL (Detailed Explanations)
The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines:
CVD ANALYSIS
What is CVD?
Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone.
CVD Value & Slope:
• ↗ Rising: CVD increasing = net buying pressure (bullish)
• ↘ Falling: CVD decreasing = net selling pressure (bearish)
• → Flat: No clear pressure direction
Accumulation vs Distribution:
• Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias.
• Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias.
Divergence Alerts:
• ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP.
• ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN.
WICK ANALYSIS
Wick Torque:
Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency.
• Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices.
• Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices.
• ⚡ High Torque (>30): Strong signal, significant wick rejection occurred.
Stop-Hunt Detection:
The engine detects when price has likely swept stop-losses clustered at key levels:
• Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt.
• "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP.
• "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN.
LIQUIDITY SWEEPS
This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing:
• 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN.
• 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP.
POWER BALANCE
The Power Balance meter shows the real-time strength comparison between buyers and sellers.
Force Ratio:
• 0% = Complete seller dominance
• 50% = Perfect balance
• 100% = Complete buyer dominance
Visual Bar:
• Left side (▓): Bear territory
• Right side (▓): Bull territory
• The bar is smoothed over recent history to reduce noise.
EFFORT vs RESULT
This section measures the efficiency of price movement relative to volume expended.
Energy:
How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity.
Ground:
How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement.
STALL Warning:
A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal.
MARKET PHASE
The Phase Engine classifies the current market regime:
RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution.
BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction.
TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries.
Strength:
0-100% score combining slope, volume validity, and force/efficiency filters.
Bars: How many candles the current phase has persisted.
TRACK RECORD (Validation Panel)
Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions:
Accuracy: Percentage of validated predictions that were correct.
Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol.
Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation.
⚙️ SETTINGS GUIDE
📊 Volume Analysis
Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data).
Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe.
History Depth: Candles stored in memory (5-50). Higher = more context, slower.
Memory Lookback: Bars for moving averages and Z-scores (10-100).
🏷️ Market Phase
Range Zone Width: How much of channel center is considered "range" (0.1-0.8).
Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive.
Min Episode Length: Minimum bars before phase can change. Prevents flickering.
🎯 Scenarios
Min Confidence to Show: Only display scenarios above this confidence level (30-90).
Bars to Validate: How many bars to wait before checking if prediction was correct.
Success Move %: Minimum price movement to consider prediction successful.
💰 Trade Advisor
Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90).
Default Risk %: Stop loss distance as % of price (0.5-5.0).
Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0).
🔔 ALERT CONDITIONS
The indicator provides the following alert conditions you can configure:
• 🟢 LONG Entry Signal
• 🔴 SHORT Entry Signal
• ⚠️ Close LONG Signal
• ⚠️ Close SHORT Signal
• 🛑 STOP LOSS Alert
• 💰 Take Profit Alert
• 🚨 High Urgency Signal
⚠️ IMPORTANT DISCLAIMER
EDUCATIONAL TOOL ONLY
This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted.
The Trade Advisor is NOT a recommendation to buy, sell, or invest.
• Past performance does not guarantee future results
• All trading involves risk of loss
• The creator is not a licensed financial advisor
• Always do your own research (DYOR)
• Consult a qualified financial advisor before making any investment decisions
By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
SUMA VuManChu Cipher B Revised to V6// This indicator is an updated version of the original WuManChu Cipher B indicator, I updated it to v6 and fixed a few things that were no longer supported in v6 from the original v3 or v4.
// I also made the RSI and Stoch to fully comedown to the bottom of the display panel to reflect what the rest of the parameters are doing, I adjusted the money flow to be more sensitive.
// I tried to leave the logic as it was original intended to be used,
// I renamed and put everything together, it was a bit challenging but Cipher B is such a great indicator that I think it deserved the update and the time I put into it.
EMA 9/15 AI Buy Sell Signal (KEWME)This strategy is primarily a Trend Following and Scalping strategy. It relies on the crossover of two Exponential Moving Averages (EMA) to identify short-term momentum shifts. The "AI" or "KEWME" part usually refers to the filtering logic added to standard EMAs to reduce false signals during choppy (sideways) markets.
1. Core Components
Fast EMA (Period 9): This tracks the most recent price data very closely. It reacts quickly to price changes.
Slow EMA (Period 15): This acts as the baseline or immediate support/resistance level. It reacts slower than the 9 EMA.
2. Buy Signal Logic (Long Entry)
A Buy signal is generated when the short-term momentum shifts upwards.
Crossover Condition: The EMA 9 (Fast) must cross ABOVE the EMA 15 (Slow).
Candle Confirmation: The candle causing the crossover should ideally close green (bullish) and above both EMA lines.
AI/Filter Logic:
Slope Check: The "AI" logic checks if the slope of the EMA 15 is pointing up. If the lines are flat (horizontal), the signal is often ignored to avoid sideways markets.
Volume: There should be higher than average volume during the crossover to confirm the strength of the move.
Trader's Action: Enter a Buy position immediately after the candle closes.
3. Sell Signal Logic (Short Entry)
A Sell signal is generated when the short-term momentum shifts downwards.
Crossunder Condition: The EMA 9 (Fast) must cross BELOW the EMA 15 (Slow).
Candle Confirmation: The candle causing the crossover should ideally close red (bearish) and below both EMA lines.
AI/Filter Logic:
Slope Check: The "AI" logic checks if the slope of the EMA 15 is pointing down.
Volume: Selling pressure (volume) should be visible.
Trader's Action: Enter a Sell position immediately after the candle closes.
4. The "AI" filtering (Why it is different from basic EMA)
Standard EMA crossovers often fail in "Choppy Markets" (when price moves up and down within a small range), causing losses. The KEWME/AI version usually adds these extra rules:
Range Filter: If the distance between EMA 9 and EMA 15 is very small (the lines are hugging each other), the AI suppresses the signal. It waits for the lines to "fan out" or separate.
Trend Alignment: It might check a higher timeframe (like 200 EMA). If the price is above the 200 EMA, it might only show Buy signals and hide Sell signals (Trend Filtering).
5. Exit Strategy (Stop Loss & Target)
Stop Loss (SL):
For Buy: Just below the recent Swing Low or below the EMA 15.
For Sell: Just above the recent Swing High or above the EMA 15.
Take Profit (TP): usually taken when the EMAs cross back in the opposite direction, or at a 1:1.5 Risk-Reward ratio.
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface.
Key Modular Features:
Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias.
Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances).
Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker.
Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator.
Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals.
Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed.
Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
15:50 AnticipeThis indicator is designed to anticipate the market behavior around a specific time of day (by default 15:50) by evaluating market conditions one minute before the target candle.
It is primarily intended for intraday trading on 1-minute charts, especially on index futures such as NQ / MNQ.
The logic combines trend, volatility compression, momentum, volume, and VWAP positioning, using a scoring system to determine whether a LONG, SHORT, or NEUTRAL bias is statistically favored before the target candle prints.
Core Concept
At the anticipation candle (15:49 by default), the indicator evaluates multiple technical conditions.
Each condition adds points to a LONG score or SHORT score.
If one side reaches the required score threshold and is stronger than the opposite side, a persistent signal is generated and held through the 15:50 candle.
The 15:50 candle is highlighted in yellow for visual reference.
Indicators Used
The system combines:
• Bollinger Bands to detect volatility compression
• EMA 9 / EMA 21 / EMA 89 for short-term and structural trend
• RSI for momentum confirmation
• Volume Spike Detection based on a volume SMA multiplier
• Anchored VWAP, reset daily and anchored at a configurable time
• Optional Reversal Mode for mean-reversion setups
Scoring Logic
Each side (LONG / SHORT) accumulates points based on conditions such as:
• Bollinger Band compression
• EMA 9 vs EMA 21 alignment
• Price location relative to EMA 9 and BB basis
• RSI above or below threshold
• Volume spike confirmation
• Price position relative to Anchored VWAP
If Reversal Mode is enabled, additional points are added when:
• Price touches or exceeds Bollinger extremes
• RSI divergence is detected
• Price deviates significantly from Anchored VWAP
Reversal conditions carry more weight, favoring exhaustion and snap-back setups.
Signal Generation
At the anticipation candle:
• LONG signal
Triggered when LONG score ≥ required threshold and stronger than SHORT score.
• SHORT signal
Triggered when SHORT score ≥ required threshold and stronger than LONG score.
• NEUTRAL signal
Displayed when neither side has a clear statistical edge.
Signals are displayed as labels above or below price, positioned dynamically using ATR to avoid candle overlap.
Once triggered, the signal remains active through the 15:50 candle and can be used for trade execution or confirmation.
Anchored VWAP
The Anchored VWAP:
• Resets automatically each trading day
• Starts calculating from a user-defined hour and minute
• Acts as a directional and mean-reversion reference
• Is fully integrated into both trend and reversal logic
Alerts
The indicator provides alert conditions for:
• Anticipated LONG setup
• Anticipated SHORT setup
• NEUTRAL condition
Alerts trigger when the anticipation signal becomes active, allowing automation or discretionary execution.
Intended Use
This indicator is best used as:
• A directional bias tool before a known time-based volatility event
• A confirmation layer, not a standalone entry system
• A way to structure disciplined trades instead of reacting emotionally to the 15:50 candle
It favors clarity, confluence, and probability, not prediction.
KDJ在 TradingView 发表脚本时,**描述(Description)** 非常重要。审核员要求描述必须详细说明脚本的**原理、独特性以及用法**,否则容易被驳回。
由于你的参数 (63, 21, 5) 非常特殊,属于“长周期/季度线”级别的设置,我在撰写描述时重点突出了它**“过滤噪音”**和**“捕捉中长期趋势”**的特点。
以下是为你准备的发布文案,包含**标题**和**正文(中英双语)**。你可以直接复制使用。
---
### 标题 (Title)
**KDJ Trend Filter (63, 21, 5) **
### 描述正文 (Description)
*(复制以下内容到 TradingView 的描述框中)*
** **
**Overview**
This is a custom KDJ indicator designed for **medium-to-long term trend analysis**. Unlike the default parameters (9, 3, 3) which are often too sensitive and prone to false signals in volatile markets, this script uses a specific set of parameters **(63, 21, 5)** to smooth out the noise.
**Why these parameters?**
* **N = 63 (Calculation Period):** Represents approximately one quarter (3 months) of trading days. This aligns the indicator with the quarterly trend rather than weekly fluctuations.
* **M1 = 21 (Smooth K):** A significantly higher smoothing factor for the K-line. This reduces the "jitter" and ensures that a crossover usually indicates a genuine shift in momentum.
* **M2 = 5 (Smooth D):** The smoothing period for the D-line.
**How to use**
1. **Trend Identification:** Due to the long period, this KDJ acts more like a trend-following tool than a typical oscillator.
2. **Crossovers:**
* **Golden Cross (K > D):** Suggests a potential start of a medium-term bullish trend.
* **Dead Cross (K < D):** Suggests a potential start of a medium-term bearish trend.
3. **Filtering:** This setup is excellent for filtering out market noise. It will react slower than standard KDJ but provides more reliable signals for swing traders.
**Settings**
* Calculation Period: 63
* MAC1 (K Smoothing): 21
* MAC2 (D Smoothing): 5
---
** **
**概述**
这是一个专为**中长期趋势分析**设计的 KDJ 指标。标准的 KDJ 参数(9, 3, 3)在震荡行情中过于敏感,容易产生虚假信号。本脚本采用了特定的长周期参数 **(63, 21, 5)**,旨在过滤短期市场噪音,捕捉更稳健的趋势方向。
**参数逻辑**
* **计算周期 (N) = 63:** 大约对应一个季度(3个月)的交易日。这意味着指标关注的是季度级别的价格位置,而非短期波动。
* **MAC1 (M1) = 21:** K值的平滑周期。相比默认值,21的平滑度极高,这使得 K 线非常平稳,只有在趋势发生实质性改变时才会转向。
* **MAC2 (M2) = 5:** D值的平滑周期。
**使用方法**
1. **趋势识别:** 由于周期较长,该指标具有“钝化”的特性,更适合作为趋势跟踪工具,而非短线超买超卖指标。
2. **交叉信号:**
* **金叉 (K上穿D):** 通常意味着中级行情的启动。
* **死叉 (K下穿D):** 通常意味着中级调整的开始。
3. **过滤噪音:** 在横盘震荡期间,该参数设置能有效减少频繁的交叉信号,帮助交易者拿住波段。
**默认设置**
* 计算周期:63
* MAC1:21
* MAC2:5
---
### 💡 发表前的检查清单 (Checklist)
1. **代码确认**:确保你的 Pine Script 代码中 `overlay=false`(因为 KDJ 是副图指标)。
2. **图表展示**:在点击发表前,最好在图表上画几条线或标记,展示一下金叉和死叉的位置,这样更容易通过审核,也能让用户一眼看懂。
3. **分类 (Category)**:建议选择 **"Trend Analysis" (趋势分析)** 和 **"Oscillators" (震荡指标)**。
如果你需要我帮你微调代码以符合上述描述(例如添加颜色填充或特定的信号标记),请告诉我!
jaems_Combo: StochRSI + MACD + ADX [QuantDev]//@version=6
strategy("jaems_Combo: StochRSI + MACD + ADX ", overlay=false, initial_capital=10000, currency=currency.USD, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1)
// ==========================================
// 1. 사용자 입력 (User Inputs)
// ==========================================
//
grp_time = "Backtest Period"
useDateFilter = input.bool(true, "기간 필터 적용", group=grp_time)
startDate = input.time(timestamp("2023-01-01 00:00"), "시작일", group=grp_time)
endDate = input.time(timestamp("2099-12-31 23:59"), "종료일", group=grp_time)
inDateRange = not useDateFilter or (time >= startDate and time <= endDate)
//
grp_stoch = "1. Stochastic RSI Settings"
stoch_len = input.int(14, "RSI Length", group=grp_stoch)
stoch_k = input.int(3, "K", group=grp_stoch)
stoch_d = input.int(3, "D", group=grp_stoch)
rsi_len = input.int(14, "Stochastic Length", group=grp_stoch)
//
grp_macd = "2. MACD Settings (Normalized)"
macd_fast = input.int(12, "Fast Length", group=grp_macd)
macd_slow = input.int(26, "Slow Length", group=grp_macd)
macd_sig = input.int(9, "Signal Length", group=grp_macd)
macd_norm_len = input.int(100, "Normalization Lookback", group=grp_macd)
//
grp_adx = "3. ADX Settings"
adx_len = input.int(14, "ADX Smoothing", group=grp_adx)
di_len = input.int(14, "DI Length", group=grp_adx)
adx_thresh = input.int(25, "ADX Threshold", group=grp_adx)
//
grp_risk = "4. Risk Management"
stopLossPct = input.float(2.0, "손절매 (Stop Loss %)", step=0.1, group=grp_risk) / 100
takeProfitPct = input.float(4.0, "익절매 (Take Profit %)", step=0.1, group=grp_risk) / 100
// - 신규 추가 (Alert Configuration)
grp_alert = "5. Alert Configuration"
msg_long_entry = input.string("Long Entry Triggered", "Long 진입 메시지", group=grp_alert)
msg_short_entry = input.string("Short Entry Triggered", "Short 진입 메시지", group=grp_alert)
msg_long_exit = input.string("Long Position Closed", "Long 청산 메시지", group=grp_alert)
msg_short_exit = input.string("Short Position Closed", "Short 청산 메시지", group=grp_alert)
// ==========================================
// 2. 데이터 처리 및 지표 계산
// ==========================================
// Stoch RSI
rsi_val = ta.rsi(close, rsi_len)
k = ta.sma(ta.stoch(rsi_val, rsi_val, rsi_val, stoch_len), stoch_k)
d = ta.sma(k, stoch_d)
// ADX
= ta.dmi(di_len, adx_len)
// Normalized MACD (0~100 Scale)
= ta.macd(close, macd_fast, macd_slow, macd_sig)
highest_macd = ta.highest(macd_line, macd_norm_len)
lowest_macd = ta.lowest(macd_line, macd_norm_len)
// 분모가 0이 되는 예외 처리
denom = (highest_macd - lowest_macd)
norm_macd = denom != 0 ? (macd_line - lowest_macd) / denom * 100 : 50
norm_signal = denom != 0 ? (macd_signal - lowest_macd) / denom * 100 : 50
// ==========================================
// 3. 시각화 (Dark Mode Optimized Colors)
// ==========================================
color gridColor = color.new(#787B86, 50)
hline(0, "Bottom", color=gridColor)
hline(50, "Middle", color=gridColor, linestyle=hline.style_dotted)
hline(100, "Top", color=gridColor)
plot(k, "Stoch K", color=color.new(#00E5FF, 0), linewidth=1) // Neon Cyan
plot(d, "Stoch D", color=color.new(#EA00FF, 0), linewidth=1) // Neon Magenta
plot(adx, "ADX", color=color.new(#FFEB3B, 0), linewidth=2)
hline(adx_thresh, "ADX Threshold", color=color.new(#FFEB3B, 50), linestyle=hline.style_dashed)
plot(norm_macd, "Norm MACD", color=color.new(#76FF03, 60), style=plot.style_area)
plot(norm_signal, "Norm Signal", color=color.new(#FF1744, 20), linewidth=1)
// ==========================================
// 4. 전략 로직 (Strategy Logic) - 요청하신 내용으로 전면 수정
// ==========================================
// 조건: K가 D보다 크고(AND) K가 Norm Signal보다 큰 상태
bool is_bullish = (k > d) and (k > norm_signal)
// 조건: K가 D보다 작고(AND) K가 Norm Signal보다 작은 상태
bool is_bearish = (k < d) and (k < norm_signal)
// 진입 신호: "이전 봉에는 아니었는데, 지금 봉에서 두 조건을 동시에 만족했을 때" (돌파 순간)
longCondition = is_bullish and not is_bullish
shortCondition = is_bearish and not is_bearish
// 주문 실행 (Confirmed Bar Only) + Alert Message 연결
if inDateRange and barstate.isconfirmed
if longCondition
strategy.entry("Long", strategy.long, alert_message=msg_long_entry)
if shortCondition
strategy.entry("Short", strategy.short, alert_message=msg_short_entry)
// ==========================================
// 5. 청산 및 신호 강조 (Alert Message 추가)
// ==========================================
if strategy.position_size > 0
strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price * (1 - stopLossPct), limit=strategy.position_avg_price * (1 + takeProfitPct), alert_message=msg_long_exit)
if strategy.position_size < 0
strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price * (1 + stopLossPct), limit=strategy.position_avg_price * (1 - takeProfitPct), alert_message=msg_short_exit)
// 배경 신호
bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG")
bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
Risk & Reward Position PlannerDescription
This script is a trade architecture tool designed to help traders calculate position sizes and visualize risk-reward ratios dynamically on the chart. It focuses on functional precision and clean aesthetics, offering two distinct visual styles: "Cyber" for modern high-tech charts and "Classic" for a traditional look.
Key Features
Interactive Setup: Upon adding the script or resetting, it prompts you to click directly on the chart to set your Entry and Stop Loss levels.
Dynamic Position Sizing: Calculates the total risk in currency (USD) based on your custom unit size.
Multi-Target Planning: Visualizes four customizable Take Profit targets based on specific RR ratios.
Cyber UI Aesthetics: Full control over colors, neon glow effects, and horizontal alignment to fit any chart layout.
Comprehensive Data: Displays price, percentage distance, currency risk, and RR ratios at a single glance.
User Guide (How to use)
To ensure the most efficient workflow, here are the essential steps for operating the tool:
Setting a New Trade (Resetting)
If you change your symbol or want to plan a completely new trade, you can clear the current setup and trigger the interactive selection again:
Right-click on the indicator in the chart OR click the three dots (...) next to the indicator name in the legend.
Select "Reset Points".
The indicator will prompt you to click two new points on the chart: first for the Entry, then for the Stop Loss.
Moving Entry and Stop Loss
Move the mouse over the line of the Entry or the StopLoss and grab the grip of the line to move it up or down. Drop it to the price you want to set.
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.
Sweeps + FVG + IFVG The ICT stuff in an indicator
Shows liquidity sweeps
Shows HTF FVG
shows IFVG
shows entries and take profit
Clean Bull Flag Finder (Box Style + Strength)
📈 Bull Flag Detector — Price Action Continuation Tool
Bull Flag Detector is a lightweight price-action indicator designed to automatically identify bull flag continuation structures in real time. It helps traders spot consolidation phases that form after strong upward impulses and visually frame potential continuation areas — without relying on lagging oscillators.
This tool is built for traders who prefer clean charts, structure-based analysis, and context over signals.
🔶 WHAT THIS INDICATOR DOES
The indicator continuously scans price action to detect:
A strong bullish impulse (flagpole)
A controlled pullback or consolidation (flag)
A structured range that respects trend continuation characteristics
When a valid bull flag structure is detected, the indicator highlights the pattern directly on the chart.
S&D Golden Zone Clean v1.3Gojo Hoon’s Trading Room
S&D Golden Zone Clean Version
- Supply Zone, Demand Zone, Golden Zone
HL Zone + Vol Alert (Complete) + Vol Explosion Alertabc
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ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIt is a new interesting indicator. It might be a little bit difficult to implement but i like it a lot






















