Lazy DOW by exp3rtsThe Lazy DOW strategy is a straightforward, trend-following approach designed specifically for trading the Dow Jones Industrial Average (YM/MYM). It focuses on entering long trades during favorable market conditions, combining multi-timeframe trend detection, pullback entries, volatility filtering, and ATR-based risk management.
FOR 1H CHART INTERVAL ONLY!
Check 1) Recalculate after order is filled and 2) Fill orders on bar close
Key Features:
1. Trend Detection
Exponential Moving Averages (EMAs):
- 21 EMA: Short-term trend and pullback reference.
- 50 EMA: Intermediate trend confirmation.
- 200 EMA: Long-term trend filter.
Risk-On Market Regime:
- Long trades are only considered when price is above the 200 EMA and the 50 EMA is also above the 200 EMA.
- Ensures trades align with the primary market trend.
2. Volatility Filtering
ATR-Based Volatility Check:
- 14-period ATR compared against its 50-period SMA.
- Trades are only allowed during periods of low volatility, reducing the risk of unpredictable price spikes.
Helps the strategy avoid choppy or turbulent market conditions.
3. Entry Logic
Pullback Entry to EMA21:
- Trades are triggered when price pulls back slightly (≤1% above the 21 EMA), capitalizing on minor retracements within a strong uptrend.
RSI Filter:
- Long entries require RSI between 40–55 to ensure momentum is not overextended.
Combines trend-following and momentum principles for high-probability entries.
4. Risk Management
ATR-Based Stop Loss:
- Initial stop placed 2 ATRs below entry price.
ATR-Based Take Profit:
- Target set 3 ATRs above entry price.
This risk-reward setup aims for well-defined exits and preserves capital during adverse moves.
5. Execution
Automated long entries when all conditions are met.
Single exit strategy with stop loss and take profit.
Trade sizing defaults to 1% of account equity, but can be adjusted.
6. Visuals
EMA Plots:
- 21 EMA in orange, 50 EMA in blue, 200 EMA in red.
Background Color Coding:
- Green shading indicates “risk-on” conditions (trend up and low volatility), providing quick visual confirmation of trade-worthy environments.
Media mobile esponenziale (EMA)
EMA Buy/Sell & Smart Zones(5Min TF only)### **Indicator Title:**
**EMA Buy/Sell & Smart Zones**
---
### **Description:**
**EMA Buy/Sell & Smart Zones** is a specialized intraday trading tool designed to combine trend analysis with precise market structure zones. This script utilizes a custom tracking algorithm to identify the **specific candle** that formed the previous session's high or low, allowing it to plot accurate Supply and Demand zones for the current trading day.
This indicator has been rigorously tested on the **Nifty Index** and is optimized for use on the **5-minute timeframe**.
### **Key Features**
**1. Smart Session Wick Zones ("True Wick" Logic)**
The indicator automatically scans every candle of the previous session to locate the exact price action that formed the day's extremes.
* **Smart High Zone:** Identifies the specific candle that made yesterday's High and plots a zone from that High down to that candle's Open or Close (based on body direction).
* **Smart Low Zone:** Identifies the specific candle that made yesterday's Low and plots a zone from that Low up to that candle's Open or Close.
* **Close Range:** Highlights the High-Low range of the very last candle of the previous session to show the closing sentiment.
*All zones automatically stop extending at the end of the current session, ensuring the chart remains clean and historically accurate.*
**2. EMA Trend System**
The script plots three key Exponential Moving Averages to define market direction:
* **EMA 21:** Captures short-term momentum.
* **EMA 63:** Defines the medium-term trend.
* **EMA 1575:** Establishes the long-term baseline.
**3. Buy/Sell Signals**
Clear signals are generated on the chart based on specific criteria:
* **BUY Signal:** Generated when a green candle closes above the EMA 21 and EMA 63.
* **SELL Signal:** Generated when a red candle closes below the EMA 21 and EMA 63.
* *Note: The logic includes a filter to alternate signals (Buy -> Sell -> Buy), preventing clutter during choppy markets.*
### **How to Use**
* **Recommended Timeframe:** **5 Minutes**.
* **Recommended Markets:** Indices (Nifty, Bank Nifty) and high-volume stocks.
* **Workflow:**
* Use the **Smart Zones** (Red/Green boxes) to identify potential rejection areas or breakout targets.
* Use the **Buy/Sell Labels** as confirmation triggers when price is reacting near these zones or trending strongly above/below the EMAs.
### **Settings & Customization**
* **Visibility Control:** Toggle each box type (High, Low, Close) and text labels on or off individually.
* **Color Customization:** Fully adjustable colors for all EMAs, Zone Backgrounds, Borders, and Text Labels to suit your chart theme.
* **Label Size:** Adjust the text size of the zone labels directly from the settings menu.
---
**Disclaimer:** This tool is for educational purposes and should be used to assist your analysis. Always manage your risk appropriately.
VWMA Cross Buy SignalCore Components & Logic
1. The Entry Engine (VWMA + Filters)
The strategy triggers a long signal when a Volume Weighted Moving Average (VWMA) crossover occurs.
Unlike a standard Simple Moving Average, the VWMA gives more weight to bars with higher volume. This ensures the indicator responds faster to "Smart Money" moves and slower to low-volume noise.
It uses a secondary Trend Filter (defaulting to the 200 EMA). By only buying when the price is above this line, the indicator forces you to stay on the right side of the primary market trend.
It requires volume to be higher than its recent average (e.g., 1.1× or 10% higher). This prevents entries on weak, low-conviction price moves.
2. The Dynamic Exit System
You have two distinct ways to manage your risk and targets, toggleable in the settings:
ATR Based (Volatility Adjusted): It calculates the Average True Range (ATR) to determine how volatile the stock is. By setting your Stop Loss at 2.0×ATR, you avoid getting "shaken out" by normal daily price fluctuations. The Take Profit is set at 4.4×ATR to capture large trend extensions.
Fixed % (Static): A more rigid approach where you set a hard percentage target (e.g., 10% gain / 5% loss).
3. The Performance Analytics Table
The grey minimalist table in the bottom-right corner uses cumulative percentage-based math to show:
Realized RRR: The actual Reward-to-Risk ratio based on your closed trades.
Break-Even Win Rate: The minimum win rate you need to stay profitable with your current RRR. It uses the formula:
BE WR=1+RRR1
Current Win Rate: Highlighted in Green if you are beating the Break-Even rate, or Red if the strategy is currently losing money on that specific stock.
Max Drawdown %: The most important metric for risk. It shows the largest peak-to-trough decline in your equity curve, letting you know how much losing streak can hurt your equity.
Strategic Use Case
This indicator is optimized for Stock Screening. When you flip through your watchlist, the table updates instantly.
If you see a stock with a high Win Rate and a Max Drawdown under 10%, you have found a ticker where the VWMA crossover logic is highly compatible with that stock's specific volatility. If the Win Rate cell is Red, you know the strategy is "un-tuned" for that asset and needs adjustment.
forex evergreen (RN Markets)The Smart Trader Strategy by RN Markets is designed to give traders a real edge through disciplined money management. You decide your targets, maintain full trading freedom, and trade with confidence knowing your risk and rewards are always under your control.
Support/Resistance & EMA Crossovers with AlertsPublic Script for Support/Resistance & EMA Crossovers with Alerts
DurdenBTCs Dual Signal Trend SentinelA Bitcoin-Specific Strategy that Beats Buy and Hold
This is a Volatility Adjusted Momentum (VAMS) strategy tuned specifically for Bitcoin. Unlike standard Moving Average crossovers that get chopped up in sideways markets, this script uses Z-Score logic to normalize price distance from the trend, helping you stay in major moves and exit before deep drawdowns.
How It Works: Markets move in cycles. This strategy focuses on the Quarterly Cycle (approx. 3 months) to determine the dominant trend.
The Baseline: It calculates a 63-period trend baseline.
Volatility Adjustment: It measures the standard deviation of price around that baseline to assess real volatility.
The VAMS Score (Z-Score): It calculates exactly how many standard deviations price is away from the mean using the formula: (Close - Baseline) / Volatility .
The Signal Logic: The strategy classifies the market into three clear regimes using a color-coded background:
🟢BULLISH (Green Background): Price is > 0.5 Standard Deviations above the baseline. This indicates a strong momentum breakout. The strategy enters a Long position here.
🔴BEARISH (Red Background): Price is < -0.5 Standard Deviations below the baseline. This indicates trend failure. The strategy Closes All positions to preserve capital.
🟠NEUTRAL (Gray/Orange Background): Price is chopping between -0.5 and 0.5. This is the "noise" zone where trends are undefined. You can customize how you want the strategy to work at this point.
Why Use This?
Visual Clarity: The background color tells you the regime instantly, no need to guess.
Objective Entries/Exits : Removes emotion by using math-based volatility thresholds rather than arbitrary price levels.
Tuned for BTC: The 63-length lookback is specifically chosen to capture Bitcoin's quarterly flows.
🚀 Want More Precision? This script is the "Core" version of my trading framework. If you like this logic but want to reduce lag and capture moves even earlier, check out my private script: Bitcoin Gaussian Volatility Trend Signal . Access is granted to Substack subscribers.
The private version includes advanced Gaussian smoothing to filter out fake-outs that standard moving averages miss, offering a sharper edge for active investors.
Disclaimer: Past performance is not indicative of future results.
SHIB/USDT High-Frequency TrendThis strategy is a higher-frequency trend-following system designed for BINANCE:SHIBUSDT (commonly used on 30m / 1h). It focuses on capturing frequent trend legs using EMA structure plus momentum confirmation, while filtering out low-quality conditions via ADX and ATR% regime checks. It also includes SL/TP/trailing and an optional breakeven stop.
What it does
Trend structure : Strong uptrend when EMA Fast > EMA Slow > EMA Trend (and vice versa for downtrend).
Momentum confirmation : RSI threshold + MACD line vs signal line.
Regime filter : requires enough trend strength (ADX) and enough movement (ATR%).
Cooldown : pauses entries for a few bars after an exit to reduce churn.
Entries
Long : Uptrend confirmed for N bars + RSI below max + MACD > signal + regime ok.
Short : Downtrend confirmed for N bars + RSI above min + MACD < signal + regime ok.
Exits & risk management
Signal exit : close on opposite signal.
Stop Loss : fixed % from entry.
Take Profit : fixed % from entry.
Trailing Stop : trails from the best price since entry.
Breakeven (optional) : arms after a profit trigger and tightens the stop toward entry.
Alerts
This script includes alert conditions for entries:
Long Entry Signal
Short Entry Signal
How to use
Start on BINANCE:SHIBUSDT with 30m . If you change timeframe, re-tune EMA lengths, regime thresholds, and risk parameters.
Keep the date filter disabled for live trading; it exists to reproduce historical backtest windows.
Trading fees/commission materially impact high-frequency systems—validate with realistic costs and slippage.
Key inputs snapshot
EMA: 9 / 21 / 50
RSI(15): long when RSI < 55, short when RSI > 36
MACD: (9, 24, 9)
Regime:
ADX(14) >= 11.5
ATR(14) / close >= 0.20%
Risk:
SL 3.0%, TP 4.5%, Trail 2.0%
Breakeven: trigger 0.8%, offset 0.1%
Cooldown: 4 bars
Educational use only. This is not financial advice. Forward-test before risking capital.
Market State Data Box Multi TF Trend Reversion BreakoutsThe Market State Data Box (v6) is a visual dashboard overlay that provides a real-time snapshot of market structure across multiple timeframes. It helps traders quickly assess trend direction, mean reversion conditions, and breakout volatility all without cluttering the chart.
For each selected timeframe (Monthly to 2-minute), the box displays:
Trend Alignment
Detects whether EMAs are in bullish, bearish, or neutral alignment:
Green = Bullish trend (stacked EMAs)
Red = Bearish trend (inverted EMAs)
Black = Neutral/mixed
Mean Reversion Zone
Highlights if the price is currently between EMA1 and EMA3, suggesting a potential mean-reversion environment (sideways, balanced).
BB Breakout Detection
Triggers if price breaks outside a 2 standard deviation range around the EMA (like a Bollinger Band breakout), useful for spotting explosive moves or fakeouts.
Customizable Inputs
Enable or disable any timeframe (Monthly, Weekly, Daily, etc.)
Set custom EMA values per timeframe (default: 20, 50, 200)
Use 2-EMA logic by setting the 3rd EMA to 0
Adjust box transparency and position
Use Case Examples
Use higher TFs (D, W, M) for trend bias
Use lower TFs (2m, 5m, 15m) for execution
Confirm breakouts or range setups using BB Break & MR zones
EMA Forecast [QuantAlgo]🟢 Overview
The EMA Forecast extends traditional Exponential Moving Average analysis by projecting potential future EMA values up to 20 bars ahead. Unlike conventional dual-EMA systems that only display historical crossovers and trend states, this indicator uses three proprietary forecasting models, each analyzing different market dimensions (structure, volume dynamics, or mathematical trend), to explore potential price paths and calculate how the fast and slow EMAs might evolve. This approach allows traders to form probabilistic expectations about future trend states, crossover timing, and momentum shifts across various asset classes and timeframes.
🟢 How It Works
The indicator operates through a multi-stage calculation process that projects EMA trajectories forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each examining different market characteristics (structural patterns, volume accumulation/distribution, or linear trend progression). These projected prices then undergo a dynamic oscillation process that applies realistic volatility scaled by ATR (Average True Range), simulating natural price movement patterns rather than producing unrealistic smooth projections. Finally, the system performs iterative EMA calculations using the standard exponential formula, feeding each forecasted price sequentially through both the fast and slow EMA algorithms to generate continuous projected values while maintaining mathematical consistency with the historical EMAs.
The forecasting engine recalculates projections on every bar update (or confirmed bar, based on settings), adapting to evolving market conditions through configurable lookback periods. The implementation preserves the mathematical integrity of EMA calculations while extrapolating trend trajectories, creating visual continuity between historical solid EMA lines and forecasted semi-transparent dashed lines that extend beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes.
▶ Practical Implications:
Explores potential EMA behavior during structural trend continuation
Identifies scenarios where structure breaks might influence EMA crossovers
Could be useful for swing traders and position traders who incorporate order flow and liquidity concepts
The Structure Influence parameter allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion when structure weakens or reverses
May assist in anticipating false breakouts when structure contradicts price direction
2. Volume-Weighted Model
This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios.
▶ Practical Implications:
Incorporates institutional footprint analysis into EMA trend forecasting
Attempts to distinguish between price moves supported by volume versus those that may lack follow-through
Could be particularly relevant in markets where volume data is reliable and significant
Volume Influence parameter enables adaptation to different market microstructures and liquidity profiles
Highlights potential accumulation/distribution phases that might precede major EMA crossovers
May help filter low-volume price noise that creates false EMA signals
Could be valuable for traders who require volume confirmation before acting on trend signals
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies.
▶ Practical Implications:
Delivers reproducible forecasts based on statistical principles
Performs well in established trending markets with clear directional bias
Minimal parameter sensitivity (primarily controlled by lookback period length)
Computationally efficient with fast recalculation suitable for multi-timeframe analysis
Serves as a neutral baseline to compare against the more complex structure and volume methods
Provides simpler forecasts in low-noise environments without the assumptions inherent in smart money or volume analysis
🟢 Universal Applications Across All Models
Each forecasting method projects potential future EMA values (both fast and slow lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible bullish or bearish EMA crosses several bars ahead, enabling proactive position planning rather than reactive trade execution
▶ Explore trend continuation scenarios: Assess whether current trends might maintain separation between EMAs or converge toward crossover zones
▶ Plan entry timing: Identify potential optimal entry points along the forecasted EMA trajectory, such as price pullbacks to the forecasted fast EMA in uptrends
▶ Evaluate trend strength: Monitor the distance between forecasted fast and slow EMAs as a proxy for potential momentum sustainability
▶ Develop systematic strategies: Build rules based on forecasted crossover timing, EMA slope changes, or convergence/divergence patterns
▶ Adapt to market conditions: Switch between forecasting methods based on current market character, e.g., structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments
▶ Assess risk/reward: Use forecasted EMA levels as potential dynamic support/resistance for stop-loss placement and profit target estimation
▶ Combine with other indicators: Layer forecasted EMA crossovers with momentum oscillators, volatility bands, or volume profiles for multi-confirmation setups
The indicator includes extensive customization options: adjustable EMA periods, forecast volatility control to simulate realistic or smooth price movement, realtime bar inclusion toggle, multiple color presets, optional bar coloring, crossover signal triangles, configurable transparency, and built-in alerts.
As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can account for unexpected news events, regime shifts, or black swan occurrences. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
Longer EMA/MA (SurfXBT)A long-term trend indicator based on MA 100, EMA 200, and MA 300.
It also includes an option to display the 4H EMA 200 across all timeframes for higher-timeframe trend orientation.
Local Trend (SurfXBT)Local Trend is a trend-following indicator based on the EMA 13, 25, and 36. It features and optional trend cloud, that changes color to reflect whenever the short term EMA is above the slowest one or the opposite.
6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe.
Dual EMA (9 & 16) Customizable 📈 Dual EMA Indicator (Customizable & Preset Based)
The Dual EMA Indicator is a simple yet powerful trend-following tool that plots two Exponential Moving Averages (EMAs) on the price chart. It is designed for scalpers, intraday traders, and swing traders who rely on EMA crossovers and trend direction for decision-making.
This indicator allows full customization of both EMAs, including length, color, source, line width, and offset. Users can also enable or disable each EMA individually, keeping the chart clean and focused.
To make trading faster and easier, built-in preset EMA combinations such as 5–9, 9–21, and 16–34 are provided, which are commonly used for scalping and trend trading. A Custom mode is also available for traders who prefer their own EMA settings.
🔑 Key Features
Two EMAs in a single indicator
Preset EMA pairs for scalping and intraday trading
Fully customizable EMA lengths and sources
Change colors, line width, and offset
Enable/disable each EMA with a checkbox
Clean and lightweight with no lag
📊 How to Use
Fast EMA above Slow EMA → Bullish trend
Fast EMA below Slow EMA → Bearish trend
EMA crossovers can be used for entry and exit confirmation
Works well on 1m, 3m, 5m, 15m, and higher timeframes
This indicator is ideal for traders who want a simple, flexible, and reliable EMA setup without cluttering their charts.
SMC Wave Sentinel v4.1 - Precision Trend Engine (by ChatGPT)Wave Sentinel v4.1 – Precision Trend Engine (by ChatGPT)
Wave Sentinel v4.1 is a precision-engineered scalping and trend detection system that combines adaptive multi-EMA logic with synchronized Profit Wave visualization.
Designed collaboratively with ChatGPT (2026), this system focuses on precision, responsiveness, and visual clarity for active traders.
Features:
• Adaptive multi-EMA trend detection
• Profit Wave visualization with top/bottom zones
• Single active signal logic (reduces false flips)
• Adaptive background trend filtering
• Customizable colors, alerts, and visual styles
Optimized for 15-second to 1-minute charts, but adaptable to any timeframe.
Built for scalpers, momentum traders, and algorithmic developers who value speed, structure, and visual precision.
Quality-Controlled Trend StrategyOverview
This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management.
Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior.
All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution.
Design intent
Many scripts mix entries and exits in ways that make results fragile or misleading.
This strategy focuses on structural clarity by enforcing:
confirmed-bar logic only
fixed and transparent risk handling
consistent indicator calculations
one position at a time
It is intended as a baseline framework rather than an optimized system.
Trading logic (high level)
Trend context
EMA 50 vs EMA 200 defines directional bias
Entry
Price alignment with EMA 50
RSI used as a momentum confirmation, not as an overbought/oversold signal
Risk management
Stop-loss based on ATR
Fixed risk–reward structure
Risk logic is isolated from entry logic
Editing risk without affecting signals
All stop-loss and take-profit calculations are handled in a dedicated block.
Users can adjust:
ATR length
stop-loss multiplier
risk–reward ratio
without modifying entry conditions.
This allows controlled experimentation while preserving signal integrity.
Usage notes
Results vary by market, timeframe, and volatility conditions.
This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
4EMAs Honor Maleta4EMAs Honor (EMAs Honor Maleta) — Indicator Description (TradingView)
4EMAs Honor is a clean, practical moving-average overlay designed to help you read trend direction, momentum, and dynamic support/resistance at a glance. It plots four Exponential Moving Averages (EMAs) — 6, 9, 50, and 200 — commonly used for short-term flow, medium trend structure, and long-term bias.
🔧 What it includes
EMA 6 (Purple): very fast momentum line; reacts quickly to price changes.
EMA 9 (Yellow): fast trend confirmation; useful to validate the short-term move.
EMA 50 (Orange): mid-term trend filter; helps define the main direction and structure.
EMA 200 (Blue): long-term bias; often acts as a major dynamic support/resistance level.
How to use it (simple workflow)
Trend Bias:
Price above EMA 200 → bullish environment
Price below EMA 200 → bearish environment
Momentum / Pullbacks:
EMA 6 & EMA 9 help spot acceleration, pullbacks, and shifts in short-term momentum.
Trend Structure:
EMA 50 is a key filter to avoid trading against the dominant move.
⚙️ Customization
You can change the price source (close, open, hl2, etc.) and adjust each EMA length to match your market and timeframe.
⚠️ Note: This indicator is a visual trend tool and does not generate trading signals by itself. Always confirm with market structure, risk management, and your strategy rules.
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions**
---
## **📋 TABLE OF CONTENTS**
1. (#installation)
2. (#strategy-overview)
3. (#parameter-configuration)
4. (#understanding-the-dashboard)
5. (#entry--exit-rules)
6. (#best-practices)
7. (#optimization-guide)
8. (#troubleshooting)
---
## **🚀 INSTALLATION**
### **Step 1: Add to TradingView**
1. Open TradingView.com
2. Click **Pine Editor** (bottom of screen)
3. Click **"New"** → Select **"Blank indicator"**
4. Delete all default code
5. **Copy and paste** the complete script
6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy")
7. Click **"Add to Chart"**
### **Step 2: Verify Installation**
✅ You should see:
- Orange **200 EMA** line
- Blue **Tenkan** line
- Red **Kijun** line
- Green/Red **Cloud** (Ichimoku cloud)
- **Dashboard** in top-right corner
- **Strategy Tester** tab at bottom
---
## **📊 STRATEGY OVERVIEW**
### **What This Strategy Does**
Combines three powerful technical indicators to identify high-probability trades:
| Component | Purpose |
|-----------|---------|
| **200 EMA** | Determines overall trend direction |
| **Ichimoku Cloud** | Provides support/resistance and momentum |
| **RSI** | Filters momentum strength |
| **Dashboard** | Real-time signal analysis |
### **Trading Logic**
- **LONG**: Enter when all bullish conditions align
- **SHORT**: Enter when all bearish conditions align
- **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal
---
## **⚙️ PARAMETER CONFIGURATION**
### **🔵 Trend Filter Settings**
```
EMA Length: 200 (default)
```
- **Lower (100-150)**: More sensitive, faster signals
- **Higher (250-300)**: More stable, slower signals
- **Recommendation**: Keep at 200 for most timeframes
---
### **🟢 RSI Settings**
```
RSI Length: 14 (default)
RSI Long Minimum: 55
RSI Short Maximum: 45
```
**Adjustment Guide:**
- **Aggressive** (more signals): Long=50, Short=50
- **Balanced** (default): Long=55, Short=45
- **Conservative** (fewer signals): Long=60, Short=40
---
### **🟡 Ichimoku Settings**
```
Tenkan Period: 9
Kijun Period: 26
Senkou B Period: 52
Displacement: 26
```
**Standard Configurations:**
| Timeframe | Tenkan | Kijun | Senkou B |
|-----------|--------|-------|----------|
| **1H - 4H** | 9 | 26 | 52 |
| **15m - 1H** | 7 | 22 | 44 |
| **Daily** | 9 | 26 | 52 |
**Filters:**
- ✅ **Require Chikou Confirmation**: Adds extra validation (recommended)
- ✅ **Require Cloud Position**: Price must be above/below cloud (recommended)
---
### **🔴 Risk Management**
```
ATR Length: 14
ATR Stop Loss Multiplier: 2.0
ATR Take Profit Multiplier: 3.0
Min Bars Between Trades: 3
```
**Risk/Reward Profiles:**
| Profile | SL Multiplier | TP Multiplier | Description |
|---------|---------------|---------------|-------------|
| **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R |
| **Balanced** | 2.0 | 3.0 | Default settings |
| **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits |
---
### **🎨 Display Settings**
```
Show Dashboard: ON
Show Entry Signals: ON
```
- **Dashboard**: Shows real-time analysis
- **Entry Signals**: Green/Red arrows on chart
---
## **📈 UNDERSTANDING THE DASHBOARD**
### **Dashboard Components**
```
┌─────────────────────┬──────────┐
│ Component │ Status │
├─────────────────────┼──────────┤
│ EMA Trend │ BULL/BEAR│
│ Cloud │ ABOVE/BELOW/INSIDE│
│ TK Cross │ BULL/BEAR│
│ RSI │ 55.3 │
│ Chikou │ BULL/BEAR│
│ Signal │ STRONG LONG│
└─────────────────────┴──────────┘
```
### **Signal Interpretation**
| Signal | Score | Meaning | Action |
|--------|-------|---------|--------|
| **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG |
| **LONG** | 4-6 | Most conditions met | Moderate confidence |
| **NEUTRAL** | <4 | Mixed signals | Wait for clarity |
| **SHORT** | 4-6 | Bearish bias | Moderate SHORT |
| **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT |
---
## **📍 ENTRY & EXIT RULES**
### **✅ LONG ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **above** 200 EMA
2. ✅ Price **above** Ichimoku Cloud
3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross)
4. ✅ RSI **above** 55
5. ✅ Chikou **above** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🟢 Green triangle **below** candle
- Dashboard shows **"STRONG LONG"**
---
### **❌ LONG EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **below** cloud bottom
2. ❌ Tenkan **crosses below** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
### **✅ SHORT ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **below** 200 EMA
2. ✅ Price **below** Ichimoku Cloud
3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross)
4. ✅ RSI **below** 45
5. ✅ Chikou **below** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🔴 Red triangle **above** candle
- Dashboard shows **"STRONG SHORT"**
---
### **❌ SHORT EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **above** cloud top
2. ❌ Tenkan **crosses above** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
## **💡 BEST PRACTICES**
### **Recommended Timeframes**
| Timeframe | Trading Style | Signals/Week |
|-----------|---------------|--------------|
| **15m** | Scalping | 20-30 |
| **1H** | Day Trading | 10-15 |
| **4H** | Swing Trading | 5-10 |
| **Daily** | Position Trading | 2-5 |
---
### **Asset Classes**
✅ **Best Performance:**
- Major Forex pairs (EUR/USD, GBP/USD)
- Crypto (BTC/USD, ETH/USD)
- Major indices (SPX, NAS100)
⚠️ **Use Caution:**
- Low liquidity pairs
- Highly volatile altcoins
- Stocks with gaps
---
### **Risk Management Rules**
```
1. Never risk more than 2% per trade
2. Use the built-in ATR stops (don't override)
3. Respect the "Min Bars Between Trades" cooldown
4. Don't trade during major news events
5. Monitor dashboard - only trade STRONG signals
```
---
## **🔧 OPTIMIZATION GUIDE**
### **Step 1: Run Initial Backtest**
1. Open **Strategy Tester** tab (bottom of screen)
2. Set date range (minimum 6 months)
3. Review:
- **Net Profit**
- **Win Rate** (target: >50%)
- **Profit Factor** (target: >1.5)
- **Max Drawdown** (target: <20%)
---
### **Step 2: Optimize Parameters**
**If Win Rate is Low (<45%):**
- Increase RSI thresholds (Long=60, Short=40)
- Enable both Chikou + Cloud filters
- Increase "Min Bars Between Trades" to 5
**If Too Few Signals:**
- Decrease RSI thresholds (Long=50, Short=50)
- Reduce EMA to 150
- Adjust Ichimoku to faster settings (7/22/44)
**If Drawdown is High (>25%):**
- Increase ATR Stop Loss Multiplier to 2.5
- Add longer cooldown period (5+ bars)
- Trade only STRONG signals
---
### **Step 3: Forward Test**
```
1. Paper trade for 2-4 weeks
2. Compare results to backtest
3. Adjust if live results differ significantly
4. Only go live after consistent paper trading success
```
---
## **🛠️ TROUBLESHOOTING**
### **Problem: No Signals Appearing**
**Solutions:**
- Check RSI levels aren't too restrictive
- Verify timeframe is appropriate (try 1H or 4H)
- Ensure both filters aren't enabled on ranging markets
- Review dashboard - components may be conflicting
---
### **Problem: Too Many Losing Trades**
**Solutions:**
- Enable **both** Chikou + Cloud filters
- Increase RSI thresholds (more conservative)
- Only trade when dashboard shows "STRONG" signals
- Increase cooldown period to avoid overtrading
---
### **Problem: Dashboard Not Showing**
**Solutions:**
- Verify "Show Dashboard" is enabled in settings
- Check chart isn't zoomed out too far
- Refresh chart (F5)
- Re-add indicator to chart
---
### **Problem: Stops Too Tight/Wide**
**Solutions:**
- **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0
- **Too Wide**: Decrease to 1.5-1.8
- Verify ATR Length is appropriate for timeframe
- Consider asset volatility (crypto needs wider stops)
---
## **📞 QUICK REFERENCE CARD**
```
═══════════════════════════════════════════════════
STRATEGY QUICK REFERENCE
═══════════════════════════════════════════════════
BEST TIMEFRAMES: 1H, 4H, Daily
BEST ASSETS: Major Forex, BTC, ETH, Indices
RISK PER TRADE: 1-2% of capital
LONG ENTRY:
✓ Price > 200 EMA
✓ Price > Cloud
✓ TK Bull Cross
✓ RSI > 55
✓ Dashboard = STRONG LONG
SHORT ENTRY:
✓ Price < 200 EMA
✓ Price < Cloud
✓ TK Bear Cross
✓ RSI < 45
✓ Dashboard = STRONG SHORT
EXITS:
× Cloud breach
× TK reverse cross
× ATR trailing stop
× Take profit (3:1 R:R)
═══════════════════════════════════════════════════
```
---
## **⚠️ DISCLAIMER**
This strategy is for **educational purposes only**. Always:
- Backtest thoroughly on your specific assets
- Paper trade before going live
- Never risk more than you can afford to lose
- Past performance ≠ future results
- Consider market conditions and your risk tolerance
---
**Happy Trading! 📈**
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PSP PEMA Indicator Only Sell 45MTF-7% TargetPSP PEMA Indicator – Only SELL (45MTF | Early Short Capture)
🔥 Purpose of This Indicator
PSP PEMA Indicator is a professional-grade intraday SELL-only tool, specially designed to capture EARLY SHORT SELL opportunities in NIFTY before major intraday reversals.
The highlight of this indicator is the “EARLY SELL” signal, which is crafted to catch premium decay moves in options and is ideal for same-day option selling or directional PUT buying.
⏱ Best Timeframe to Use
Primary Timeframe: 45 Minutes (Strictly recommended)
Can be observed on 15M for confirmation, but signals are optimized for 45MTF
📊 Best Instruments
✅ NIFTY Index (Highly Recommended)
Bank Nifty (with slightly higher risk)
FINNIFTY (experienced traders only)
👉 Works best on INDEX options, not recommended for stock options.
⭐ Most Powerful Signal: EARLY SELL
The EARLY SELL label appears near market tops, usually before sharp intraday falls.
How to Trade EARLY SELL (Options Focused)
Wait for “EARLY SELL” label on 45-minute chart
Execute trade on NEXT candle (do not chase)
Trade selection:
ATM / ITM PUT Buy
OR ATM CALL Sell (for option sellers)
Prefer same-day expiry or weekly options
🎯 Expected Target (Intraday)
Options Premium:
🔹 5% to 7% decay/move achievable the same day
Index Move:
🔹 Short-term downside impulse usually follows
⚠️ This indicator is designed to capture early momentum, not late breakdowns.
🛑 Stop Loss (Very Important)
Options Buy:
🔻 Premium SL = 25–30%
Option Sell:
🔻 Exit if next 45M candle closes above signal high
No averaging against signal ❌
🧠 When to AVOID Trading
First 15 minutes of market open
Low-volatility sideways days
Major news / event candles already expanded
📈 Trade Management Tips
Book partial profits early
Trail remaining position
One EARLY SELL per swing is enough — quality over quantity
⚠️ Disclaimer
This indicator is meant for educational and analytical purposes.
Markets involve risk. Use proper risk management and trade responsibly.






















