"200元+股票大盘" için komut dosyalarını ara
MACD + SMA 200 Strategy (by ChartArt)Here is a combination of the classic MACD (moving average convergence divergence indicator) with the classic slow moving average SMA with period 200 together as a strategy.
This strategy goes long if the MACD histogram and the MACD momentum are both above zero and the fast MACD moving average is above the slow MACD moving average. As additional long filter the recent price has to be above the SMA 200. If the inverse logic is true, the strategy goes short. For the worst case there is a max intraday equity loss of 50% filter.
Save another $999 bucks with my free strategy.
This strategy works in the backtest on the daily chart of Bitcoin, as well as on the S&P 500 and the Dow Jones Industrial Average daily charts. Current performance as of November 30, 2015 on the SPX500 CFD daily is percent profitable: 68% since the year 1970 with a profit factor of 6.4. Current performance as of November 30, 2015 on the DOWI index daily is percent profitable: 51% since the year 1915 with a profit factor of 10.8.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
MA200 Deviation Percentile200-Day MA Deviation with Dynamic Thresholds
OVERVIEW
This indicator measures price deviation from the 200-day moving average as a percentage, with dynamically calculated overbought/oversold thresholds based on historical percentiles.
Best suited for broad market indices (SPY, QQQ, IWM, etc.) where the 200-day MA serves as a reliable long-term trend indicator. Individual stocks may exhibit more erratic behavior around this level.
CALCULATION
Deviation (%) = (Close - 200MA) / 200MA x 100
Dynamic thresholds are derived from actual historical distribution rather than assuming normal distribution:
- Overbought threshold = 97.5th percentile of historical deviations
- Oversold threshold = 2.5th percentile of historical deviations
SETTINGS
MA Length (default: 200)
Moving average period.
Lookback Period (default: 1260)
Historical window for threshold calculation. 1260 bars approximates 5 years of daily data.
Threshold Percentile (default: 5%)
Two-tailed threshold. 5% places overbought/oversold boundaries at the 97.5th and 2.5th percentiles respectively.
INTERPRETATION
Deviation Value
- Positive: Price trading above 200MA
- Negative: Price trading below 200MA
- Magnitude indicates extent of deviation
Percentile Ranking (0-100%)
- Shows where current deviation ranks historically
- Above 90%: Historically elevated
- Below 10%: Historically depressed
Dynamic Threshold Lines
- Red line: Upper boundary based on historical distribution
- Green line: Lower boundary based on historical distribution
- These adapt automatically to each asset's volatility characteristics
APPLICATION
Mean Reversion
Extreme deviations tend to normalize over time. When deviation exceeds dynamic thresholds, probability of mean reversion increases.
Trend Assessment
Sustained positive/negative deviation confirms trend direction. Zero-line crossovers may signal trend changes.
NOTES
- Optimized for daily timeframe on market indices
- Requires sufficient historical data (minimum equal to lookback period)
- Extreme readings do not guarantee immediate reversals
- Use in conjunction with other analysis methods
LONG TERM INVESTMENT TECHNICAL STRATEGY SCRIPT200 - WEEKLY MOVING AVERAGE
GREEN LINE IS 200 WEEKS MOVING AVERAGE OF CLOSE
BLUE LINE IS 200 WEEKS MOVING AVERAGE OF LOW MULTIPLIED BY 0.90
RED LINE IS 100 WEEKS MOVING AVERAGE OF CLOSE
CONDITION: GREEN LINE SHOULD BE ABOVE RED LINE AND PRICE SHOULD BE ABOVE GREEN LINE
BUY ONCE THE PRICE IS ABOVE GREEN LINE AND FULFILLS THE CONDITION.
TARGET 1 FOR TIME FRAME 1 YEAR= 2 X GREEN LINE VALUE WHEN PRICE CROSSED IT
TARGET 2 FOR TIME FRAME 3 YEARS= 3 X GREEN LINE VALUE WHEN PRICE CROSSED IT
TARGET 3 FOR TIME FRAME 5 YEARS= 5 X GREEN LINE VALUE WHEN PRICE CROSSED IT
TARGET 4 FOR TIME FRAME 10 YEARS= 10 X GREEN LINE VALUE WHEN PRICE CROSSED IT
STOP LOSS IS TRAILING TO BLUE LINE
200 SMA with EMA Ribbon (Custom Colors)Simple Moving Average with the longer- time based line analyzing both shorter and longer trends
200 SMA (5%/-3% Buffer) for SPY & QQQ In my testing TQQQ is an absolute monster of an ETF that performs extremely well even from a buy and hold standpoint over long periods of time, its largest drawback is the massive drawdown exposure that it faces which can be easily sidestepped with this strategy.
This strategy is meant to basically abuse TQQQ's insane outperformance while augmenting the typical 200SMA strategy in a way that uses all of its strengths while avoiding getting whipsawed in sideways markets.
The strategy BUYS when price crosses 5% over the 200SMA and then SELLS when price drops 3% below the 200SMA. Between trades I'll be parking my entire account in SGOV.
So maximizing profit while minimizing risk.
You use the strategy based off of QQQ and then make the trades on TQQQ when it tells you to BUY/SELL.
Here are some reasons why I will be using this strategy:
Simple emotionless BUY and SELL signals where I don't care who the president is, what is happening in the world, who is bombing who, who the leadership team is, no attachment to individual companies and diversified across the NASDAQ.
~85% win percentage and when it does lose the loses are nothing compared to the wins and after a loss you're basically set up for a massive win in the next trade.
Max drawdown of around 53% when using TQQQ
You benefit massively when the market is doing well and when there is a recession you basically sit in SGOV for a year and then are set up for a monster recovery with a clear easy BUY signal. So as long as you're patient you win regardless of what happens.
The trades are often very long term resulting in you taking advantage of Long Term Capital Gains tax advantage which could mean saving up to 15-20% in taxes.
With only a few trades you can spend time doing other stuff and don't have to track or pay attention to anything that is happening.
Simple, easy, and massively profitable.
200 Week Moving Average HeatmapСolors part of the SMA depending on the change in % (delta %) to the previous value. From blue(none to low increase) through green(moderate increase) to red(high increase).
200/150
This a variation to my 120/60 Trend Model for the daily chart on Bitcoin, which has quite reliably been determining the over all trend as well as low risk entries within a longer term trend. It's a combination of 150 & 220 SMA, used on the 1D chart. Once price closes below both SMAs trend is an early bearish signal, while the SMAs flipping to red is later but more reliable bearish signal. For bullish trend it is the same thing just the opposite. Once the "cloud" switches red trend is bearish while once it switches green it's bullish.
Bitcoin tends to get rejected by the cloud during bullish and bearish trends. Once Bitcoin pushes through the cloud the trend will typically reverse.
Bitcoin trading within or close to the cloud is generally a good long or short entries, depending on the color of the cloud (red: short & green: long).
Daily Moving Averages (EMAs + SMAs) to Intraday Chart200 SMA, 100 SMA, 50 EMA, and 20 EMA daily averages to intraday chart
Mark Minervini SEPA - Balanced
📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE
🚀 WHAT IS THIS INDICATOR?
This is a professional swing trading indicator based on Mark Minervini's famous
Trend Template strategy. It automatically identifies high-probability setups where:
✅ Long-term trend is BULLISH (confirmed by moving averages)
✅ Stock is OUTPERFORMING the market (relative strength improving)
✅ Price is CONSOLIDATING (forming a base for breakout)
✅ Volume is CONFIRMING (volume spike on breakout)
Result: CLEAR BUY SIGNALS when everything aligns! 🎯
🎨 WHAT YOU SEE ON YOUR CHART
1️⃣ FOUR MOVING AVERAGE LINES:
🟠 Orange Line (MA 20) = Short-term trend
🔵 Blue Line (MA 50) = Intermediate trend
🟢 Green Line (MA 150) = Long-term trend
🔴 Red Line (MA 200) = Very long-term trend
IDEAL: All lines stacked in order (Orange > Blue > Green > Red)
2️⃣ BACKGROUND COLOR:
🟢 GREEN background = Trend template is VALID (bullish setup ready)
🔴 RED background = Trend template is BROKEN (avoid trading)
3️⃣ DASHBOARD PANEL (Top-Right):
Real-time checklist showing:
✓ 6 core trend template rules
✓ Relative strength status
✓ VCP base quality
✓ Stage classification (S1/S2/S3/S4)
✓ Volume breakout status
4️⃣ VCP BASE BOXES (Blue Rectangles):
Shows where consolidation is happening
This is your potential entry zone
5️⃣ BUY SIGNAL LABEL (Green Text Below Candle):
Green "BUY" label appears when ALL criteria are met
This is your strongest entry signal
6️⃣ STOP LOSS LINE (Red Dashed Line):
Shows your stop loss level (base low)
📖 HOW TO USE - STEP BY STEP
STEP 1: ADD INDICATOR TO CHART
────────────────────────────────
1. Open TradingView chart
2. Click "Indicators" (top toolbar)
3. Search "Minervini SEPA Balanced"
4. Click to add to your chart
5. Use DAILY (1D) timeframe for swing trading
STEP 2: CHECK THE DASHBOARD (Top-Right Panel)
1. Look at all the checkmarks
2. Count how many are GREEN (✓)
3. Check Stage column - is it showing S2 or S1?
STEP 3: LOOK FOR SETUP PATTERNS
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Ideal setup shows:
✓ Dashboard: 10+ criteria are GREEN
✓ Stage: S2 (green) or S1 (orange)
✓ Blue VCP box visible on chart (base forming)
✓ Moving averages aligned (50 > 150 > 200)
✓ Price above all moving averages
✓ Background is GREEN
STEP 4: WAIT FOR ENTRY SIGNAL
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Option A: BUY SIGNAL label appears
→ Green "BUY" label = ALL criteria met
→ ENTER at market price immediately
Option B: Setup looks good but no BUY label yet
→ Wait for price to break above blue VCP box
→ Volume should spike (1.3x or higher)
→ Then enter at breakout
STEP 5: PLACE YOUR TRADE
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📍 ENTRY: At breakout from VCP base
📍 STOP LOSS: Base low (red dashed line)
📍 TARGET: 20-30% move (typical Minervini target)
📍 HOLDING TIME: 2-4 weeks
🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS
Volume Multiplier: 1.3x (NOT 1.5x)
→ Original was too strict for Indian market
→ 1.3x is realistic and catches good breakouts
→ Results: 5-10 signals per stock per year (tradeable!)
Trend Template: Core 6 rules (NOT all 8)
→ Focuses on the most important rules
→ Still maintains quality, but more flexible
→ Works better with Indian stock behavior
Stage Allowed: S1 OR S2 (NOT just S2)
→ Catches earlier moves
→ Allows you to enter sooner
→ But maintains quality with other criteria
📊 DASHBOARD INDICATORS - WHAT EACH MEANS
TREND SECTION (Core 6 Rules):
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P>200 ✓ = Price above 200-day MA (long-term uptrend)
150>200 ✓ = MA150 above MA200 (MA alignment)
200↑ ✓ = MA200 trending up (uptrend accelerating)
50>150 ✓ = MA50 above MA150 (intermediate uptrend)
50>200 ✓ = MA50 above MA200 (overall alignment)
P>50 ✓ = Price above MA50 (pullback level intact)
RS STRENGTH SECTION:
───────────────────
RS↑ ✓ = Stock outperforming NIFTY index
✗ = Stock underperforming NIFTY (avoid)
VCP BASE SECTION:
────────────────
In Base ✓ = Consolidation zone detected
✗ = No consolidation yet
Vol Dry ✓ = Volume drying up (base tightening)
✗ = Normal volume (consolidation weak)
ENTRY SECTION:
──────────────
Stage S2 = GREEN (best for swing trading)
S1 = ORANGE (acceptable, early entry)
S3 = RED (avoid - distribution phase)
S4 = RED (avoid - downtrend)
Vol Brk ✓ = Volume confirmed breakout (1.3x+ average)
✗ = Weak volume (breakout likely to fail)
❌ WHEN NOT TO TRADE
SKIP if ANY of these are true:
❌ Background is RED (trend template broken)
❌ Stage is S3 or S4 (distribution or downtrend)
❌ Vol Brk is RED (volume not confirming)
❌ RS↑ is ORANGE/RED (stock underperforming market)
❌ Blue box is NOT visible (no base forming)
❌ Base is very loose/messy (not tight enough)
❌ Moving averages are not aligned
❌ Less than 8 GREEN criteria on dashboard
⚙️ CUSTOMIZATION GUIDE
Click ⚙️ gear icon next to indicator name to adjust settings:
VOLUME MULTIPLIER (Default: 1.3)
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Current: 1.3x = BALANCED for Indian stocks ✅
Change to 1.2x = MORE signals (more false breakouts)
Change to 1.4x = FEWER signals (very selective)
Change to 1.5x = ORIGINAL (too strict, rarely triggers)
RS BENCHMARK (Default: NSE:NIFTY)
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Current: NSE:NIFTY = Large-cap stocks
Change to NSE:NIFTY500 = Mid-cap stocks
Change to NSE:NIFTYNXT50 = Small-cap stocks
MINIMUM BASE DAYS (Default: 20)
───────────────────────────────
Current: 20 days = 4 weeks consolidation ✅
Change to 15 = Shorter bases (more frequent signals)
Change to 25 = Longer bases (higher quality)
ATR% FOR TIGHTNESS (Default: 1.5)
──────────────────────────────────
Current: 1.5% = BALANCED ✅
Change to 1.0% = ONLY very tight bases
Change to 2.0% = Loose bases accepted
📈 REAL TRADING EXAMPLE
SCENARIO: Trading RELIANCE over 4 weeks
WEEK 1: Base Starts Forming
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- Price consolidating around ₹1,500
- Dashboard: 5/14 criteria green
- Action: MONITOR (not ready yet)
WEEK 2: Base Tightens
─────────────────────
- Price still ₹1,500 (no movement)
- VCP box appearing on chart
- Dashboard: 8/14 criteria green
- Vol Dry: ✓ (volume shrinking - good!)
- Action: MONITOR (almost ready)
WEEK 3: Perfect Setup Formed
──────────────────────────────
- Base still ₹1,500
- Dashboard: 12/14 criteria GREEN ✓✓✓
- Stage: S2 ✓
- Blue box tight and clean
- Action: WAIT FOR BREAKOUT
WEEK 4: Breakout Happens!
──────────────────────────
- Price closes at ₹1,550 (breakout!)
- Volume: 1.6x average (exceeds 1.3x requirement)
- Dashboard: BUY SIGNAL ✓ (all criteria met)
- Action: ENTER TRADE
Entry: ₹1,550
Stop: ₹1,480 (base low)
Target: ₹1,850 (20% move)
RESULT: +19.4% profit in 2 weeks! ✅
💡 PRO TIPS FOR BEST RESULTS
1. USE DAILY (1D) CHARTS ONLY
Weekly charts = Fewer signals, slower moves
Daily charts = Best for swing trading ✅
Intraday charts = Too many false signals
2. SCAN MULTIPLE STOCKS
Don't just watch 1 stock
Scan 50-100 stocks daily
More stocks = More opportunities
3. WAIT FOR PERFECT ALIGNMENT
Don't enter on 8/14 criteria
Wait for 12+/14 criteria
This increases win rate significantly
4. VOLUME IS CRITICAL
Always check Vol Brk column
No volume = Likely to fail
1.3x+ volume = Good breakout
5. COMBINE WITH YOUR OWN ANALYSIS
Indicator gives technical signals
You add your own fundamental view
Strong fundamental + technical = Best trade
6. BACKTEST ON HISTORICAL DATA
Use TradingView Replay feature
Go back 6-12 months
See how many signals appeared
Verify which were profitable
7. KEEP A TRADING JOURNAL
Track entry, exit, profit/loss
Note what worked and what didn't
Continuous improvement!
⚠️ IMPORTANT DISCLAIMERS
✓ This indicator is for educational purposes only
✓ Past performance does not guarantee future results
✓ Always use proper risk management (position sizing, stop loss)
✓ Never risk more than 2% of your account on one trade
✓ Backtest thoroughly before using with real money
✓ The indicator provides technical signals, not investment advice
✓ Losses can occur - trade at your own risk
🎯 QUICK START CHECKLIST
Before entering ANY trade, verify:
□ Dashboard shows mostly GREEN (10+ criteria)
□ Stage = S2 (green) or S1 (orange)
□ Blue VCP box visible on chart
□ Price just broke above the box
□ Volume is high (1.3x+ average, Vol Brk = ✓)
□ Moving averages aligned (50 > 150 > 200)
□ RS is uptrending (RS↑ = ✓)
□ BUY SIGNAL label appeared (optional but strong confirmation)
ALL CHECKED? → READY TO BUY! 🚀
📞 FOR HELP & SUPPORT
Questions about the indicator?
→ Check the dashboard - each criterion has a specific meaning
→ Review this guide - answers most common questions
→ Backtest on historical data using TradingView Replay
→ Start with paper trading (no real money) first
🎓 LEARNING RESOURCES
To understand Mark Minervini's method better:
→ Read: "Trade Like a Stock Market Wizard" by Mark Minervini
→ Watch: TradingView educational videos on trend templates
→ Practice: Backtest this indicator on 6-12 months of historical data
→ Learn: Study successful traders who use similar strategies
GOOD LUCK WITH YOUR TRADING! 🚀📈
May your trends be bullish and your breakouts be explosive! 🎯
AlphaRank MA Lens – Multi-Timeframe Moving Average MapAlphaRank MA Lens – Multi-Timeframe Moving Average Map
AlphaRank MA Lens is a clean, open-source moving-average overlay that turns price action into an easy-to-read trend map. It focuses on structure and context only — no signals, no backtest, no hype — just a clear view of where price sits relative to key moving averages.
The script plots the 10 / 20 / 50 / 100 / 150 / 200 / 730 moving averages with full color control and a single “MA Type” switch, so you can flip the whole stack between SMA and EMA in one click. Instead of loading multiple separate MA indicators, this puts the full trend stack in one tool.
An optional background highlight lets you choose a reference MA (for example the 200 MA) and softly shade the chart:
Green when price is above that MA
Red when price is below it
This makes trend regime changes easy to see at a glance.
How traders typically use it (education only):
10/20/50 MAs → short-term trend and momentum.
100/150/200/730 MAs → bigger structural trend and “where price lives” in the long-term range.
Many traders consider conditions healthier when price and the short MAs are stacked above the longer MAs, and weaker when price trades below them.
Follow my work: AlphaRank
This script is for educational and analytical purposes only and does not provide trading advice or performance promises. Always combine it with your own judgment, testing, and risk management.
Adaptive Trend Navigator [ATH Filter & Risk Engine]Description:
This strategy implements a systematic Trend Following approach designed to capture major moves while actively protecting capital during severe bear markets. It combines a classic Moving Average "Fan" logic with two advanced risk management layers: a 4-Stage Dynamic Stop Loss and a macro-economic "Circuit Breaker" filter.
Core Concepts:
1. Trend Identification (Entry Logic) The script uses a cascade of Simple Moving Averages (SMA 25, 50, 100, 200) to identify the maturity of a trend.
Entries are triggered by specific crossovers (e.g., SMA 25 crossing SMA 50) or by breaking above the previous trade's high ("High-Water Mark" Re-Entry).
2. The "Circuit Breaker" (Crash Protection) To prevent trading during historical market collapses (like 2000 or 2008), the strategy monitors the Nasdaq 100 (QQQ) as a global benchmark:
Normal Regime: If the market is within 20% of its All-Time High, the strategy operates normally.
Crisis Regime: If the QQQ falls more than 20% from its ATH, the "Circuit Breaker" activates (Visualized by a Red Background).
Recovery Rule: In a Crisis Regime, new long positions are blocked unless the QQQ reclaims its SMA 200. This filters out "bull traps" in secular bear markets.
3. 4-Stage Risk Engine (Exit Logic) Once in a trade, the risk management adapts to the position's performance:
Stage 1: Fixed initial Stop Loss (default 10%) for breathing room.
Stage 2: Moves to Break-Even area once the price rises 12%.
Stage 3: Tightens to a trailing stop (8%) after 25% profit.
Stage 4: Maximizes gains with a tight trailing stop (5%) during parabolic moves (>40% profit).
Visual Guide:
SMAs: 25/50/100/200 period lines for trend visualization.
Red Background: Indicates the "Crisis Regime" where trading is halted due to broad market weakness.
Blue Background: Indicates a "Recovery Phase" (Crisis is active, but market is above SMA 200).
Red Line: Shows the dynamic Stop Loss level for active positions.
Settings: All parameters (SMA lengths, Drawdown threshold, Risk Stages) are fully customizable. The QQQ benchmark ticker can also be changed to SPY or other indices depending on the asset class traded.
Dynamic SMA Trend System [Multi-Stage Risk Engine]Description:
This script implements a robust Trend Following strategy based on a multiple Simple Moving Average (SMA) crossover logic (25, 50, 100, 200). What sets this strategy apart is its advanced "4-Stage Risk Engine" and a smart "High-Water Mark" Re-Entry system, designed to protect profits during parabolic moves while filtering out chop during sideways markets.
How it works:
The strategy operates on three core pillars: Trend Identification, Dynamic Risk Management, and Momentum Re-Entry.
1. Entry Logic (Trend Identification) The script looks for crossovers at different trend stages to capture early reversals as well as established trends:
Short-Term: SMA 25 crosses over SMA 50.
Mid-Term: SMA 50 crosses over SMA 100.
Macro-Trend: SMA 100 crosses over SMA 200.
2. The 4-Stage Risk Engine (Dynamic Stop Loss) Instead of a static Stop Loss, this strategy uses a progressive system that adapts as the price increases:
Stage 1 (Protection): Starts with a fixed Stop Loss (default -10%) to give the trade room to breathe.
Stage 2 (Break-Even): Once the price rises by 12%, the Stop is moved to trailing mode (10% distance), effectively securing a near break-even state.
Stage 3 (Profit Locking): At 25% profit, the trailing stop tightens to 8% to lock in gains.
Stage 4 (Parabolic Mode): At 40% profit, the trailing stop tightens further to 5% to capture the peak of parabolic moves.
3. Dual Exit Mechanism The strategy exits a position if EITHER of the following happens:
Stop Loss Hit: Price falls below the dynamic red line (Risk Engine).
Dead Cross: The trend structure breaks (e.g., SMA 25 crosses under SMA 50), signaling a momentum loss even if the Stop Loss wasn't hit.
4. "High-Water Mark" Re-Entry To avoid "whipsaws" in choppy markets, the script does not re-enter immediately after a stop-out.
It marks the highest price of the previous trade (Green Dotted Line).
A Re-Entry only occurs if the price breaks above this previous high (showing renewed strength) AND the long-term trend is bullish (Price > SMA 200).
Visuals:
SMAs: 25 (Yellow), 50 (Orange), 100 (Blue), 200 (White).
Red Line: Visualizes the dynamic Stop Loss level.
Green Dots: Visualizes the target price needed for a valid re-entry.
Settings: All parameters (SMA lengths, Stop Loss percentages, Staging triggers) are fully customizable in the settings menu to fit different assets (Crypto, Stocks, Forex) and timeframes.
EMA Dynamic Crossover Detector with Real-Time Signal TableDescriptionWhat This Indicator Does:This indicator monitors all possible crossovers between four key exponential moving averages (20, 50, 100, and 200 periods) and displays them both visually on the chart and in an organized data table. Unlike standard EMA indicators that only plot the lines, this tool actively detects every crossover event, marks the exact crossover point with a circle, records the precise price level, and maintains a running log of all crossovers during the trading session. It's designed for traders who want comprehensive EMA crossover analysis without manually watching multiple moving average pairs.Key Features:
Four Essential EMAs: Plots 20, 50, 100, and 200-period exponential moving averages with color-coded thin lines for clean chart presentation
Complete Crossover Detection: Monitors all 6 possible EMA pair combinations (20×50, 20×100, 20×200, 50×100, 50×200, 100×200) in both directions
Precise Price Marking: Places colored circles at the exact average price where crossovers occur (not just at candle close)
Real-Time Signal Table: Displays up to 10 most recent crossovers with timestamp, direction, exact price, and signal type
Session Filtering: Only records crossovers during active trading hours (10:00-18:00 Istanbul time) to avoid noise from low-liquidity periods
Automatic Daily Reset: Clears the signal table at the start of each new trading day for fresh analysis
Built-In Alerts: Two alert conditions (bullish and bearish crossovers) that can be configured to send notifications
How It Works:The indicator calculates four exponential moving averages using the standard EMA formula, then continuously monitors for crossover events using Pine Script's ta.crossover() and ta.crossunder() functions:Bullish Crossovers (Green ▲):
When a faster EMA crosses above a slower EMA, indicating potential upward momentum:
20 crosses above 50, 100, or 200
50 crosses above 100 or 200
100 crosses above 200 (Golden Cross when it's the 50×200)
Bearish Crossovers (Red ▼):
When a faster EMA crosses below a slower EMA, indicating potential downward momentum:
20 crosses below 50, 100, or 200
50 crosses below 100 or 200
100 crosses below 200 (Death Cross when it's the 50×200)
Price Calculation:
Instead of marking crossovers at the candle's close price (which might not be where the actual cross occurred), the indicator calculates the average price between the two crossing EMAs, providing a more accurate representation of the crossover point.Signal Table Structure:The table in the top-right corner displays four columns:
Saat (Time): Exact time of crossover in HH:MM format
Yön (Direction): Arrow indicator (▲ green for bullish, ▼ red for bearish)
Fiyat (Price): Calculated average price at the crossover point
Durum (Status): Signal classification ("ALIŞ" for buy signals, "SATIŞ" for sell signals) with color-coded background
The table shows up to 10 most recent crossovers, automatically updating as new signals appear. If no crossovers have occurred during the session within the time filter, it displays "Henüz kesişim yok" (No crossovers yet).EMA Color Coding:
EMA 20 (Aqua/Turquoise): Fastest-reacting, most sensitive to recent price changes
EMA 50 (Green): Short-term trend indicator
EMA 100 (Yellow): Medium-term trend indicator
EMA 200 (Red): Long-term trend baseline, key support/resistance level
How to Use:For Day Traders:
Monitor 20×50 crossovers for quick entry/exit signals within the day
Use the time filter (10:00-18:00) to focus on high-volume trading hours
Check the signal table throughout the session to track momentum shifts
Look for confirmation: if 20 crosses above 50 and price is above EMA 200, bullish bias is stronger
For Swing Traders:
Focus on 50×200 crossovers (Golden Cross/Death Cross) for major trend changes
Use higher timeframes (4H, Daily) for more reliable signals
Wait for price to close above/below the crossover point before entering
Combine with support/resistance levels for better entry timing
For Position Traders:
Monitor 100×200 crossovers on daily/weekly charts for long-term trend changes
Use as confirmation of major market shifts
Don't react to every crossover—wait for sustained movement after the cross
Consider multiple timeframe analysis (if crossovers align on weekly and daily, signal is stronger)
Understanding EMA Hierarchies:The indicator becomes most powerful when you understand EMA relationships:Bullish Hierarchy (Strongest to Weakest):
All EMAs ascending (20 > 50 > 100 > 200): Strong uptrend
20 crosses above 50 while both are above 200: Pullback ending in uptrend
50 crosses above 200 while 20/50 below: Early trend reversal signal
Bearish Hierarchy (Strongest to Weakest):
All EMAs descending (20 < 50 < 100 < 200): Strong downtrend
20 crosses below 50 while both are below 200: Rally ending in downtrend
50 crosses below 200 while 20/50 above: Early trend reversal signal
Trading Strategy Examples:Pullback Entry Strategy:
Identify major trend using EMA 200 (price above = uptrend, below = downtrend)
Wait for pullback (20 crosses below 50 in uptrend, or above 50 in downtrend)
Enter when 20 re-crosses 50 in the trend direction
Place stop below/above the recent swing point
Exit when 20 crosses 50 against the trend again
Golden Cross/Death Cross Strategy:
Wait for 50×200 crossover (appears in the signal table)
Verify: Check if crossover occurs with increasing volume
Entry: Enter in the direction of the cross after a pullback
Stop: Place stop below/above the 200 EMA
Target: Swing high/low or when opposite crossover occurs
Multi-Crossover Confirmation:
Watch for multiple crossovers in the same direction within a short period
Example: 20×50 crossover followed by 20×100 = strengthening momentum
Enter after the second confirmation crossover
More crossovers = stronger signal but also means you're entering later
Time Filter Benefits:The 10:00-18:00 Istanbul time filter prevents recording crossovers during:
Pre-market volatility and gaps
Low-volume overnight sessions (for 24-hour markets)
After-hours erratic movements
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB**
A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context.
* See trend direction at a glance with SMAs.
* Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200).
* Highlight big regime shifts with special Golden/Death tags.
* Read momentum and volatility with the candle heatmap.
* Add Bollinger Bands if you want classic mean-reversion context.
Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes.
# What This Indicator Does (plain English)
* **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead).
* **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint.
* **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out.
* **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient.
* **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them.
* **Includes alert conditions** for Golden and Death Cross so you can automate notifications.
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# Settings — Simple Explanations
## Source
* **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`.
## SMA 50
* **Show 50**: Turn the SMA(50) line on/off.
* **Length 50**: How many bars to average. Lower = faster but noisier.
* **Color 50** / **Width 50**: Visual style.
* **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe.
## SMA 100
* **Show 100**: Turn the SMA(100) line on/off.
* **Length 100**: Bars used for the mid-term trend.
* **Color 100** / **Width 100**: Visual style.
* **Timeframe 100**: Optional alternate timeframe for SMA(100).
## SMA 200
* **Show 200**: Turn the SMA(200) line on/off.
* **Length 200**: Bars used for the long-term trend.
* **Color 200** / **Width 200**: Visual style.
* **Timeframe 200**: Optional alternate timeframe for SMA(200).
## Signals (crossover labels)
* **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200).
* **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint).
* **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often.
* **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish.
### Label Offset
* **Offset mode**: Choose how to push labels away from price:
* **Percent**: Offset is a % of price.
* **ATR x**: Offset is ATR(14) × multiplier.
* **Percent of price (%)**: Used when mode = Percent.
* **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x.
### Label Colors
* **Bull color** / **Bear color**: Background of triangle labels.
* **Bull label text color** / **Bear label text color**: Text color inside the triangles.
## Golden / Death Cross
* **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200.
* **Golden label color** / **Golden text color**: Styling for Golden label.
* **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200.
* **Death label color** / **Death text color**: Styling for Death label.
## Candle Heatmap
* **Enable heatmap candle colors**: Turns the heatmap on/off.
* **Length**: Lookback for the regression midline and volatility measure.
* **Deviation Multiplier**: Band width around the midline (bigger = wider).
* **Volatility basis**:
* **RMA Range** (smoothed high-low range)
* **Stdev** (standard deviation of close)
* **Upper/Middle/Lower color**: Gradient colors for the heatmap.
* **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible.
* **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring.
## Bollinger Bands (optional)
* **Show Bollinger Bands**: Toggle the overlay on/off.
* **Length**: Basis SMA length.
* **StdDev Multiplier**: Distance of bands from the basis in standard deviations.
* **Basis color** / **Band color**: Line colors for basis and bands.
* **Bands fill transparency**: Opacity of the fill between upper/lower bands.
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# Features & How It Works
## 1) HTF-Safe SMAs
Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars).
## 2) Crossover Labels (Three Pairs)
* **50↔100**, **50↔200**, **100↔200**:
* **Triangle Up** label when the first SMA crosses **above** the second.
* **Triangle Down** label when it crosses **below**.
* Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish).
* **Debounce** spacing avoids repeated labels for the same pair too close together.
## 3) Golden / Death Cross Highlights
* **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift).
* **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift).
* Separate styling so they stand out from regular cross labels.
## 4) Candle Heatmap
* Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel.
* Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish.
* Helps you see momentum and “where price sits” relative to a dynamic channel.
## 5) Bollinger Bands (Optional)
* Classic **basis SMA** ± **StdDev** bands.
* Light visual context for mean-reversion and volatility expansion.
## 6) Alerts
* **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200`
* **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200`
Add these to your alerts to get notified automatically.
---
# Tips & Notes
* For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes.
* Use the **Trend Filter** to align signals with the broader stack and cut noise.
* For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame.
* Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Support and resistance levels (Day, Week, Month) + EMAs + SMAs(ENG): This Pine 5 script provides various tools for configuring and displaying different support and resistance levels, as well as moving averages (EMA and SMA) on charts. Using these tools is an essential strategy for determining entry and exit points in trades.
Support and Resistance Levels
Daily, weekly, and monthly support and resistance levels play a key role in analyzing price movements:
Daily levels: Represent prices where a cryptocurrency has tended to bounce within the current trading day.
Weekly levels: Reflect strong prices that hold throughout the week.
Monthly levels: Indicate the most significant levels that can influence price movement over the month.
When trading cryptocurrencies, traders use these levels to make decisions about entering or exiting positions. For example, if a cryptocurrency approaches a weekly resistance level and fails to break through it, this may signal a sell opportunity. If the price reaches a daily support level and starts to bounce up, it may indicate a potential long position.
Market context and trading volumes are also important when analyzing support and resistance levels. High volume near a level can confirm its significance and the likelihood of subsequent price movement. Traders often combine analysis across different time frames to get a more complete picture and improve the accuracy of their trading decisions.
Moving Averages
Moving averages (EMA and SMA) are another important tool in the technical analysis of cryptocurrencies:
EMA (Exponential Moving Average): Gives more weight to recent prices, allowing it to respond more quickly to price changes.
SMA (Simple Moving Average): Equally considers all prices over a given period.
Key types of moving averages used by traders:
EMA 50 and 200: Often used to identify trends. The crossing of the 50-day EMA with the 200-day EMA is called a "golden cross" (buy signal) or a "death cross" (sell signal).
SMA 50, 100, 150, and 200: These periods are often used to determine long-term trends and support/resistance levels. Similar to the EMA, the crossings of these averages can signal potential trend changes.
Settings Groups:
EMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the EMA.
EMA 50 & 200: A setting to display the 50-day and 200-day EMA.
Support and Resistance Levels: Includes settings for daily, weekly, and monthly levels.
SMA 50, 100, 150, 200: A setting to display the 50, 100, 150, and 200-day SMA.
SMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the SMA.
Components:
Enable/disable the display of support and resistance levels.
Show level labels.
Parameters for adjusting offset, display of EMA and SMA, and their time intervals.
Parameters for configuring EMA and SMA Golden Cross & Death Cross.
EMA Parameters:
Enable/disable the display of 50 and 200-day EMA.
Color and style settings for EMA.
Options to use bar gaps and the "LookAhead" function.
SMA Parameters:
Enable/disable the display of 50, 100, 150, and 200-day SMA.
Color and style settings for SMA.
Options to use bar gaps and the "LookAhead" function.
Effective use of support and resistance levels, as well as moving averages, requires an understanding of technical analysis, discipline, and the ability to adapt the strategy according to changing market conditions.
(RUS) Данный Pine 5 скрипт предоставляет разнообразные инструменты для настройки и отображения различных уровней поддержки и сопротивления, а также скользящих средних (EMA и SMA) на графиках. Использование этих инструментов является важной стратегией для определения точек входа и выхода из сделок.
Уровни поддержки и сопротивления
Дневные, недельные и месячные уровни поддержки и сопротивления играют ключевую роль в анализе движения цен:
Дневные уровни: Представляют собой цены, на которых криптовалюта имела тенденцию отскакивать в течение текущего торгового дня.
Недельные уровни: Отражают сильные цены, которые сохраняются в течение недели.
Месячные уровни: Указывают на наиболее значимые уровни, которые могут влиять на движение цены в течение месяца.
При торговле криптовалютами трейдеры используют эти уровни для принятия решений о входе в позицию или закрытии сделки. Например, если криптовалюта приближается к недельному уровню сопротивления и не удается его преодолеть, это может стать сигналом для продажи. Если цена достигает дневного уровня поддержки и начинает отскакивать вверх, это может указывать на возможность открытия длинной позиции.
Контекст рынка и объемы торговли также важны при анализе уровней поддержки и сопротивления. Высокий объем при приближении к уровню может подтвердить его значимость и вероятность последующего движения цены. Трейдеры часто комбинируют анализ различных временных рамок для получения более полной картины и улучшения точности своих торговых решений.
Скользящие средние
Скользящие средние (EMA и SMA) являются еще одним важным инструментом в техническом анализе криптовалют:
EMA (Exponential Moving Average): Экспоненциальная скользящая средняя, которая придает большее значение последним ценам. Это позволяет более быстро реагировать на изменения в ценах.
SMA (Simple Moving Average): Простая скользящая средняя, которая равномерно учитывает все цены в заданном периоде.
Основные виды скользящих средних, которые используются трейдерами:
EMA 50 и 200: Часто используются для выявления трендов. Пересечение 50-дневной EMA с 200-дневной EMA называется "золотым крестом" (сигнал на покупку) или "крестом смерти" (сигнал на продажу).
SMA 50, 100, 150 и 200: Эти периоды часто используются для определения долгосрочных трендов и уровней поддержки/сопротивления. Аналогично EMA, пересечения этих средних могут сигнализировать о возможных изменениях тренда.
Группы настроек:
EMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для EMA.
EMA 50 & 200: Настройка для отображения 50-дневной и 200-дневной EMA.
Уровни поддержки и сопротивления: Включает настройки для дневных, недельных и месячных уровней.
SMA 50, 100, 150, 200: Настройка для отображения 50, 100, 150 и 200-дневных SMA.
SMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для SMA.
Компоненты:
Включение/отключение отображения уровней поддержки и сопротивления.
Показ ярлыков уровней.
Параметры для настройки смещения, отображения EMA и SMA, а также их временных интервалов.
Параметры для настройки EMA и SMA Golden Cross & Death Cross.
Параметры EMA:
Включение/отключение отображения 50 и 200-дневных EMA.
Настройки цвета и стиля для EMA.
Опции для использования разрыва баров и функции "LookAhead".
Параметры SMA:
Включение/отключение отображения 50, 100, 150 и 200-дневных SMA.
Настройки цвета и стиля для SMA.
Опции для использования разрыва баров и функции "LookAhead".
Эффективное использование уровней поддержки и сопротивления, а также скользящих средних, требует понимания технического анализа, дисциплины и умения адаптировать стратегию в зависимости от изменяющихся условий рынка.
QTrade Golden, Bronze & Death, Bubonic Cross AlertsThis indicator highlights key EMA regime shifts with simple, color-coded triangles:
- Golden / Death Cross — 50 EMA crossing above/below the 200 EMA.
- Bronze / Bubonic Cross — 50 EMA crossing above/below the 100 EMA.
- Early-Warning Proxy — tiny triangles for the 4 EMA vs. 200 EMA (4↑200 and 4↓200). These often fire before the 50/100 and 50/200 crosses.
No text clutter on the chart—just triangles. Colors: gold (50↑200), red (50↓200), darker-yellow bronze (50↑100), burgundy (50↓100), turquoise (4↑200), purple (4↓200).
What it tells you (in order of warning → confirmation)
- First warning: 4 EMA crosses the 200 EMA (proxy for price shifting around the 200 line).
- Second warning: 50 EMA crosses the 100 EMA (Bronze/Bubonic).
- Confirmation: 50 EMA crosses the 200 EMA (Golden/Death).
Alerts included
- Golden Cross (50↑200) and Death Cross (50↓200)
- Bronze Cross (50↑100) and Bubonic Cross (50↓100)
- 4 EMA vs. 200 EMA crosses (up & down) — early-warning proxy
- Price–100 EMA events (touch/cross, if enabled in settings)
Big Candle Identifier with RSI Divergence and Advanced Stops1. Strategy Objective
The main goal of this strategy is to:
Identify significant price momentum (big candles).
Enter trades at opportune moments based on market signals (candlestick patterns and RSI divergence).
Limit initial risk through a fixed stop loss.
Maximize profits by using a trailing stop that activates only after the trade moves a specified distance in the profitable direction.
2. Components of the Strategy
A. Big Candle Identification
The strategy identifies big candles as indicators of strong momentum.
A big candle is defined as:
The body (absolute difference between close and open) of the current candle (body0) is larger than the bodies of the last five candles.
The candle is:
Bullish Big Candle: If close > open.
Bearish Big Candle: If open > close.
Purpose: Big candles signal potential continuation or reversal of trends, serving as the primary entry trigger.
B. RSI Divergence
Relative Strength Index (RSI): A momentum oscillator used to detect overbought/oversold conditions and divergence.
Fast RSI: A 5-period RSI, which is more sensitive to short-term price movements.
Slow RSI: A 14-period RSI, which smoothens fluctuations over a longer timeframe.
Divergence: The difference between the fast and slow RSIs.
Positive divergence (divergence > 0): Bullish momentum.
Negative divergence (divergence < 0): Bearish momentum.
Visualization: The divergence is plotted on the chart, helping traders confirm momentum shifts.
C. Stop Loss
Initial Stop Loss:
When entering a trade, an immediate stop loss of 200 points is applied.
This stop loss ensures the maximum risk is capped at a predefined level.
Implementation:
Long Trades: Stop loss is set below the entry price at low - 200 points.
Short Trades: Stop loss is set above the entry price at high + 200 points.
Purpose:
Prevents significant losses if the price moves against the trade immediately after entry.
D. Trailing Stop
The trailing stop is a dynamic risk management tool that adjusts with price movements to lock in profits. Here’s how it works:
Activation Condition:
The trailing stop only starts trailing when the trade moves 200 ticks (profit) in the right direction:
Long Position: close - entry_price >= 200 ticks.
Short Position: entry_price - close >= 200 ticks.
Trailing Logic:
Once activated, the trailing stop:
For Long Positions: Trails behind the price by 150 ticks (trail_stop = close - 150 ticks).
For Short Positions: Trails above the price by 150 ticks (trail_stop = close + 150 ticks).
Exit Condition:
The trade exits automatically if the price touches the trailing stop level.
Purpose:
Ensures profits are locked in as the trade progresses while still allowing room for price fluctuations.
E. Trade Entry Logic
Long Entry:
Triggered when a bullish big candle is identified.
Stop loss is set at low - 200 points.
Short Entry:
Triggered when a bearish big candle is identified.
Stop loss is set at high + 200 points.
F. Trade Exit Logic
Trailing Stop: Automatically exits the trade if the price touches the trailing stop level.
Fixed Stop Loss: Exits the trade if the price hits the predefined stop loss level.
G. 21 EMA
The strategy includes a 21-period Exponential Moving Average (EMA), which acts as a trend filter.
EMA helps visualize the overall market direction:
Price above EMA: Indicates an uptrend.
Price below EMA: Indicates a downtrend.
H. Visualization
Big Candle Identification:
The open and close prices of big candles are plotted for easy reference.
Trailing Stop:
Plotted on the chart to visualize its progression during the trade.
Green Line: Indicates the trailing stop for long positions.
Red Line: Indicates the trailing stop for short positions.
RSI Divergence:
Positive divergence is shown in green.
Negative divergence is shown in red.
3. Key Parameters
trail_start_ticks: The number of ticks required before the trailing stop activates (default: 200 ticks).
trail_distance_ticks: The distance between the trailing stop and price once the trailing stop starts (default: 150 ticks).
initial_stop_loss_points: The fixed stop loss in points applied at entry (default: 200 points).
tick_size: Automatically calculates the minimum tick size for the trading instrument.
4. Workflow of the Strategy
Step 1: Entry Signal
The strategy identifies a big candle (bullish or bearish).
If conditions are met, a trade is entered with a fixed stop loss.
Step 2: Initial Risk Management
The trade starts with an initial stop loss of 200 points.
Step 3: Trailing Stop Activation
If the trade moves 200 ticks in the profitable direction:
The trailing stop is activated and follows the price at a distance of 150 ticks.
Step 4: Exit the Trade
The trade is exited if:
The price hits the trailing stop.
The price hits the initial stop loss.
5. Advantages of the Strategy
Risk Management:
The fixed stop loss ensures that losses are capped.
The trailing stop locks in profits after the trade becomes profitable.
Momentum-Based Entries:
The strategy uses big candles as entry triggers, which often indicate strong price momentum.
Divergence Confirmation:
RSI divergence helps validate momentum and avoid false signals.
Dynamic Profit Protection:
The trailing stop adjusts dynamically, allowing the trade to capture larger moves while protecting gains.
6. Ideal Market Conditions
This strategy performs best in:
Trending Markets:
Big candles and momentum signals are more effective in capturing directional moves.
High Volatility:
Larger price swings improve the probability of reaching the trailing stop activation level (200 ticks).
