MADZ - Moving Average Deviation Z-ScoreMADZ - Moving Average Deviation Z-Score
MADZ is a powerful valuation oscillator that measures how far the current price has deviated from a user-selected moving average, expressed in statistical terms as a Z-Score. This normalization makes it easier to identify overvalued and undervalued conditions across different assets, timeframes, and market environments.
Overview
The indicator works by:
Calculating the percentage deviation of price from a customizable moving average (SMA, EMA, WMA, VWMA, HMA, or RMA).
Applying a Z-Score transformation to this deviation over a chosen lookback period — showing how many standard deviations the current deviation is from its historical average. Smoothing the result for a clean, responsive oscillator centered around zero.
Positive values indicate price is trading above the moving average (potentially overvalued), while negative values suggest price is below (potentially undervalued). The further from zero, the greater the relative valuation extreme.
Key Features
Customizable base moving average (type and length)
Z-Score normalization for statistically meaningful readings
Final smoothing for reduced noise
Static overbought/oversold levels (default ±1.5) — line changes color when crossed (red above, green below)
Dynamic extreme bands (±3σ) — optional display of bands calculated from the oscillator’s own volatility over a user-defined period
Extreme zone highlighting — background shading activates only during truly rare valuation events
Extreme Zone Highlighting Explained
The highlighted extreme zones (background shading) are not based on the fixed static levels. Instead, they signal statistically significant outliers using dynamic bands:
Overbought extreme zone (red background): Triggered when MADZ rises above the upper dynamic band (+3 standard deviations of the MADZ line itself over the dynamic length period).
Oversold extreme zone (green background): Triggered when MADZ falls below the lower dynamic band (-3 standard deviations).
These ±3σ bands adapt to the recent behavior of the oscillator. Because they represent three standard deviations from the mean of MADZ, crossings are rare and often precede major reversals or trend accelerations — making them valuable for spotting potential turning points in valuation extremes.
How to Use
Use zero-line crosses for trend changes or mean-reversion setups.
Watch static level crossings (±1.5 default) for early overbought/oversold warnings.
Pay special attention to extreme zone shading — these highlight high-conviction valuation dislocations that may offer superior risk/reward opportunities.
Designed on the BTC chart, but can be used on other assets.
Settings
Moving Average Settings: Type, length, source
Z-Score & Smoothing: Lookback period and smoothing length
Threshold Levels: Static overbought/oversold thresholds
Display Options: Toggle dynamic bands and extreme background highlighting
This is an educational tool designed to aid in valuation analysis. The information provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk.
Moving Averages
SB - HULL MANifty Options Scalping @ 1 Minute TF
Call Entry - If both MA turns bullish.
Put Entry - If Both MAs turns bearish.
Best results - If both MAs complement each other in the same direction.
Exit Plan - My opinion, If slow MA turns bearish. However one can also plan to exit if any one of the MA turns bearish.
Display - Make your own setting as per your own comfort
Keep this indicator in a separate pane below the chart. It will give clarity view of the chart.
Works well on nifty derivatives @ 1 minute TF , can do well on other instruments too.
SB - HULL MANifty Derivatives Scalping @ 1 Minute TF
Call Side - If both the MAs turns bullish
Put Side - If both the MAs turns bearish.
Can be applied on options charts directly. Better to plan 50 points in the money Call or Put option from Spot.
Exit - My opinion, if slow MA turns bearish. You can either exit if anyone of the MA turns bearish also.
Best for nifty derivatives scalping at 1 Minute TF, can work well on other instruments too.
Display Setting - As per your own convenience, Mine snap is below :
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
SB - VWDEMA - V2Derivatives - Scalping @ 1 Minute TF
Rules : -
CE entry - If ATR a& Dema both turns Green.
PE entry - If ATR and Dema both turns Red.
If both are in opposite colour code, wait till both align in direction and colour coding.
Vwap - If price is above Vwap, Calls will be rewarded well ( Try to find out entry in call options ).
If Price is below VWAP, Puts will be rewarded well also, try to figure out entry in Put options.
Best results - Nifty derivative @ 1 minute TF , However can work well in all other instruments.
Display - make your own settings as per your convenience. Mine is attached below for your reference :
SB - VWDEMAScalping @ 1 Minute time frame.
Rules : -
1. Call entry - If Dema and ATR both turns green ( 1 minute TF )
2. Put Entry - If Dema and ATR both turns red ( 1minute TF )
If one is red and other is green wait till both align in same direction.
Vwap - Price above VWAP, call side entry will be rewarded well ( Try to find entry in calls) and if price is below Vwap Put side entry will be rewarded well ( Try to find entry in Puts).
Exit - Follow ATR stop loss line at 1 minute TF ( candle closing basis ).
Can be used on option charts directly.
Best results - Nifty derivatives @ 1 Minute TF, however it can work well with other instruments too.
Make your display setting as per your convenience.
Advanced Market Flow IndicatorAdvanced Market Flow Indicator - Complete Trading Guide
What This Indicator Does
The Advanced Market Flow (AMF) Indicator helps you identify whether the market is in a buying condition, selling condition, or if you should wait. It combines multiple analysis methods to give you clear signals on when to enter and exit trades.
Getting Started: Choose Your Trading Mode
Before using the indicator, select your preferred Trading Mode in the input settings:
Aggressive Mode ⚡
Best for: Day traders, scalpers, short-term traders
Shows: Volatility Band 1 (Green/Red line only)
Characteristics: Fast signals, more trade opportunities, quicker reactions
Risk Level: Higher (more false signals possible)
Timeframes: 1M, 5M, 15M, 1H
Balanced Mode 🎯
Best for: Swing traders, position traders, beginners
Shows: Volatility Band 2 (Blue/Orange line only)
Characteristics: Stable signals, fewer but quality trades, smoother trends
Risk Level: Lower (more reliable signals)
Timeframes: 1H, 4H, 1D, 1W
Both Mode 📊
Best for: Experienced traders, full market analysis
Shows: Both Volatility Bands (all lines visible)
Characteristics: Complete picture, can compare fast vs slow signals
Risk Level: Medium (requires understanding of both bands)
Timeframes: All timeframes
Understanding the Visual Elements
1. Volatility Bands
Band 1 - Aggressive (Green/Red Line)
More sensitive, reacts faster to price changes
Green = Price in uptrend (bullish)
Red = Price in downtrend (bearish)
Acts as dynamic support/resistance for quick trades
Band 2 - Balanced (Blue/Orange Line)
Less sensitive, shows stronger, confirmed trends
Blue = Price in confirmed uptrend (bullish)
Orange = Price in confirmed downtrend (bearish)
Acts as major support/resistance for swing trades
Key Concept:
When price is above the band = bullish territory
When price is below the band = bearish territory
Price touching the band = potential entry point
2. Green Zone (Bullish Zone)
Appears when conditions favor buying
Shows the support flow area where price may bounce up
The larger the green zone, the stronger the bullish signal
Only appears during BUY signals
3. Red Zone (Bearish Zone)
Appears when conditions favor selling
Shows the resistance flow area where price may reverse down
The larger the red zone, the stronger the bearish signal
Only appears during SELL signals
4. Status Box (Top Right)
BUY (Green Background) = Long position conditions
SELL (Red Background) = Short position conditions
WAIT (Gray Background) = No clear direction, stay out
P&L Row: Shows profit/loss from current signal entry point
5. Multi-Timeframe Table (Bottom Right)
Displays signals across 7 timeframes (1M, 5M, 15M, 1H, 4H, 1D, 1W)
Each row shows: Period | Status | P&L
Helps confirm if multiple timeframes align
Green = BUY, Red = SELL, Gray = WAIT
How to Take Trades by Mode
🔴 AGGRESSIVE MODE TRADING
BUY Signal (Long Entry)
Set indicator to "Aggressive" mode
Wait for Status Box to show "BUY" in green
Confirm green zone appears on chart
Watch for price to touch the Green/Red Band (when it's green)
Enter: When price bounces off the green band or breaks above it
Stop Loss: 10-20 points below the green zone bottom
Take Profit:
Quick scalp: 1:1 or 1:2 risk-reward
Or exit when band turns red
Or exit when Status changes to "WAIT"
SELL Signal (Short Entry)
Wait for Status Box to show "SELL" in red
Confirm red zone appears on chart
Watch for price to touch the Green/Red Band (when it's red)
Enter: When price rejects from the red band or breaks below it
Stop Loss: 10-20 points above the red zone top
Take Profit:
Quick scalp: 1:1 or 1:2 risk-reward
Or exit when band turns green
Or exit when Status changes to "WAIT"
Aggressive Mode Tips
Take profits quickly (signals change fast)
Use tight stop losses
Best during high volatility periods
Check 1M, 5M, 15M timeframes in the table
Don't hold positions overnight
🔵 BALANCED MODE TRADING
BUY Signal (Long Entry)
Set indicator to "Balanced" mode
Wait for Status Box to show "BUY" in green
Confirm green zone appears on chart
Watch for price to touch the Blue/Orange Band (when it's blue)
Enter: When price bounces off the blue band or confirms above it
Stop Loss: 30-50 points below the green zone bottom
Take Profit:
Target previous swing high
Or 2:1 to 3:1 risk-reward ratio
Or exit when band turns orange
Or exit when Status changes to "WAIT"
SELL Signal (Short Entry)
Wait for Status Box to show "SELL" in red
Confirm red zone appears on chart
Watch for price to touch the Blue/Orange Band (when it's orange)
Enter: When price rejects from the orange band or confirms below it
Stop Loss: 30-50 points above the red zone top
Take Profit:
Target previous swing low
Or 2:1 to 3:1 risk-reward ratio
Or exit when band turns blue
Or exit when Status changes to "WAIT"
Balanced Mode Tips
Be patient, wait for clear setups
Use wider stop losses
Best during trending markets
Check 1H, 4H, 1D timeframes in the table
Can hold positions for days/weeks
Fewer trades but higher win rate
🟣 BOTH MODE TRADING
Advanced Strategy: Band Confluence
When both bands are visible, you can use advanced techniques:
Strong BUY Setup (Highest Probability)
Both bands are green/blue = Strong uptrend
Price above both bands = Momentum confirmed
Green zone present = Support established
Multiple timeframes show BUY = Alignment confirmed
Action: Enter long with confidence, wider profit targets
Strong SELL Setup (Highest Probability)
Both bands are red/orange = Strong downtrend
Price below both bands = Momentum confirmed
Red zone present = Resistance established
Multiple timeframes show SELL = Alignment confirmed
Action: Enter short with confidence, wider profit targets
Early Entry Signal
Band 1 turns green but Band 2 still red = Early bullish reversal
Action: Small position, tight stop, expect volatility
Exit: When Band 2 turns blue (confirm trend) or Band 1 turns red (false signal)
Trend Confirmation Signal
Band 1 already green, Band 2 turns blue = Confirmed uptrend
Action: Add to position, move stop to breakeven
Hold: Until either band changes color
Divergence Warning
Band 1 red but Band 2 blue = Conflicting signals
Action: Reduce position size or stay out
Meaning: Short-term weakness in longer-term uptrend
Both Mode Tips
Use Band 1 for entries, Band 2 for confirmation
When bands disagree, respect the higher timeframe (Band 2)
Best for traders who want complete market view
Requires more screen time and experience
Multi-Timeframe Analysis
How to Use the Bottom Right Table
The table shows 7 timeframes simultaneously. Here's how to read it:
Strong Signals (High Confidence)
All green (1M through 1W) = Very strong uptrend across all timeframes
All red = Very strong downtrend across all timeframes
Action: Trade in the direction of alignment with larger positions
Moderate Signals (Medium Confidence)
3-4 timeframes aligned = Decent trend forming
Action: Trade with standard position size
Example: 15M, 1H, 4H all show BUY = Good long setup
Weak Signals (Low Confidence)
Mixed colors = No clear trend, choppy market
Action: Reduce position size or avoid trading
Example: 5M shows BUY, but 1H shows SELL = Conflict
Timeframe Priority by Trading Style
Scalpers: Focus on 1M, 5M (must align)
Day Traders: Focus on 5M, 15M, 1H (at least 2 must align)
Swing Traders: Focus on 1H, 4H, 1D (at least 2 must align)
Position Traders: Focus on 4H, 1D, 1W (must align)
Risk Management Rules (CRITICAL)
Position Sizing
Aggressive Mode: Risk 0.5-1% per trade (more trades = smaller size)
Balanced Mode: Risk 1-2% per trade (fewer trades = larger size)
Both Mode: Risk 1-1.5% per trade
Never risk more than 5% of capital across all open trades
Stop Loss Rules
ModeStop Loss DistanceMax Risk per TradeAggressive10-20 points below/above zone0.5-1%Balanced30-50 points below/above zone1-2%Both20-40 points (based on band used)1-1.5%
Take Profit Targets
Aggressive Mode: 1:1 to 1:2 risk-reward ratio
Balanced Mode: 2:1 to 3:1 risk-reward ratio
Both Mode: 1.5:1 to 2.5:1 risk-reward ratio
When to Exit Immediately
Status changes to "WAIT" (close all positions in that direction)
Stop loss is hit (no exceptions, no "holding hoping")
P&L in Status Box turns negative and worsening
Major news event announced (close before news)
Common Trading Scenarios
Scenario 1: Perfect Setup (Take This Trade)
Mode: Balanced
Status: BUY
Zone: Large green zone
Timeframes: 1H, 4H, 1D all show BUY
P&L: All positive in table
Action: Enter long, standard position size, target 2:1 RR
Scenario 2: Risky Setup (Reduce Size or Skip)
Mode: Aggressive
Status: BUY
Zone: Small green zone
Timeframes: Mixed (some BUY, some SELL)
P&L: Some negative in table
Action: Either skip or enter with 0.5% risk, tight stop
Scenario 3: Reversal Setup
Mode: Both
Status: Changes from SELL to BUY
Bands: Band 1 turns green, Band 2 still orange
Action: Exit all shorts immediately, prepare for long entry when Band 2 turns blue
Scenario 4: Trend Continuation
Mode: Balanced
Status: BUY (has been BUY for several candles)
P&L: +50 in Status Box
Price: Pulls back to touch blue band
Action: Add to position (pyramid), move stop to breakeven
Scenario 5: Choppy Market (Stay Out)
Status: Constantly switching BUY → WAIT → SELL → WAIT
Zones: Appearing and disappearing rapidly
Timeframes: No alignment (all different)
Action: Close all positions, wait for clarity
Scenario 6: False Signal
Status: BUY
You enter: Long position
P&L immediately negative: -10, -15, -20
Action: Exit immediately (don't wait for stop loss), signal is failing
Trading Rules Checklist
Before Entering Any Trade:
Indicator Status is BUY or SELL (not WAIT)
Appropriate zone is visible (green for BUY, red for SELL)
At least 2 timeframes agree in the multi-timeframe table
You know your exact stop loss level
You know your exact take profit target
Risk is 0.5-2% of capital (based on mode)
No major news in next 30 minutes
After Entering a Trade:
Stop loss order placed immediately
Take profit target set
Position size recorded
Monitor Status Box for changes
Monitor P&L (if goes deeply negative, consider exit)
Daily Trading Rules:
Maximum 3 trades per day in Aggressive mode
Maximum 1-2 trades per day in Balanced mode
Stop trading after 2 consecutive losses
Stop trading if daily loss reaches 3%
Pro Tips & Tricks
Timing Your Entries
Best Entry (Aggressive): When price touches the band and shows rejection candle
Best Entry (Balanced): Wait for candle close above/below band before entering
Worst Entry: Chasing price far from the band
Using the P&L Feature
Positive P&L growing: Signal is working, consider adding position
P&L near zero: Signal uncertain, prepare to exit
Negative P&L: Signal failing, exit or tighten stop
P&L in table all negative: Wrong market conditions, stop trading
Zone Size Interpretation
Large zones (wide gap): Strong conviction, high probability
Medium zones: Standard signal, normal position size
Tiny zones: Weak signal, reduce size or skip
No zone: Never trade when no zone is visible
Band Color Changes
Aggressive Band (1) flips frequently: High volatility, good for scalping
Balanced Band (2) stable: Low volatility, good for swing trading
Both bands same color: Strong trend, high confidence
Bands different colors: Transitioning, be cautious
Best Market Conditions by Mode
ModeBest MarketWorst MarketAggressiveHigh volatility, rangingLow volatility trendingBalancedTrending marketsChoppy, sidewaysBothAny (adaptable)Extremely choppy
Troubleshooting Common Problems
Problem 1: Too Many Losses in Aggressive Mode
Solution: Switch to Balanced mode or reduce trade frequency
Reason: Market may not be suitable for quick trades
Problem 2: Missing Big Moves in Balanced Mode
Solution: Switch to Both mode to see early signals
Or: Add alerts on Aggressive band for early warnings
Problem 3: Signals Keep Changing to WAIT
Solution: Market is choppy, stop trading until clear trend forms
Check: Move to higher timeframe charts
Problem 4: Stop Loss Getting Hit Often
Solution: Widen stop loss distance or trade higher timeframes
Check: Zone size - if tiny, signals are weak
Problem 5: Can't Decide Between Modes
Start with: Balanced mode (safer for beginners)
After 50 trades: Review results, switch if needed
Consider: Your personality (patient vs action-oriented)
Mode Selection Guide
Choose Aggressive Mode If:
You can monitor charts constantly
You prefer many small profits over few large ones
You trade during high volatility hours
You're comfortable with quick decisions
You use timeframes: 1M, 5M, 15M
Choose Balanced Mode If:
You check charts a few times per day
You prefer fewer, higher-quality trades
You want less stressful trading
You're a beginner or part-time trader
You use timeframes: 1H, 4H, 1D
Choose Both Mode If:
You're an experienced trader
You want to see complete market structure
You can interpret conflicting signals
You want early entry + confirmation
You use multiple strategies
Quick Reference Cards
Aggressive Mode Quick Reference
SignalBand ColorZoneActionStopTargetBUYGreenGreen appearsLONG-10-20pts1:1 RRSELLRedRed appearsSHORT+10-20pts1:1 RRWAITAnyNone/BothOUT--
Balanced Mode Quick Reference
SignalBand ColorZoneActionStopTargetBUYBlueGreen appearsLONG-30-50pts2:1 RRSELLOrangeRed appearsSHORT+30-50pts2:1 RRWAITAnyNone/BothOUT--
Both Mode Quick Reference
Band 1Band 2Signal StrengthActionGreenBlueVery Strong UPLONG (full size)RedOrangeVery Strong DOWNSHORT (full size)GreenOrangeWeak/EarlyLONG (small size)RedBlueWeak/EarlySHORT (small size)MixedMixedConfusedWAIT
Final Reminders
Golden Rules
Never trade without a stop loss - This is your safety net
Respect the WAIT signal - No signal is better than a bad signal
Start small - Master one mode before trying others
Keep a trading journal - Track which mode works best for you
The indicator is a tool, not a crystal ball - Use your brain too
Success Formula
Success = (Right Mode × Proper Risk Management × Discipline) - Emotions
Remember
This indicator shows probabilities, not certainties
No indicator wins 100% of the time
Risk management is more important than win rate
Consistency beats occasional big wins
Paper trade first before risking real money
777 SigmaDev Clustersyeeeeeeeeeeeeeeeeeeeeeeeeeeaaaaaaaaaaaaaaaaaaaaaah buddyyyyyyyyyyyyyyyyyyyyyyyyyyyy!
777 expected Movehell yeaaaaaaaaaaaah, we back at it again yfm, some bs right here, will NOT tap ever!!!!!!
Algonova TrendFlowWhat was previously a (very!) manual process of looking at "UPs" and "DOWNs" to determine which way the market is "flowing" has now been automated! Urban TrendFlow is an immense timesaver for our users as we search for opportunities to go long and short (and especially when we need to sit on our hands and let uncertain markets "find their flow".
ICT Clean CISD & Mitigated MTF FVGs Clean CISD & MTF FVGs
Minimalist Institutional Order Flow Tool
Key Features:
CISD (Change in State of Delivery): Marks the first sign of an order flow shift. Displayed as a clean black line + label (no bulky boxes).
High-Probability FVGs: Scans 15m, 1h, and 4h timeframes for gaps.
Displacement Filter: Only shows "Crucial" gaps. Tiny, insignificant imbalances are automatically filtered out using an ATR threshold.
Auto-Cleaning Logic: Boxes are automatically deleted once price fills or closes through them, keeping your chart 100% clean.
RTI x MA fully backtested by AT A smart trading indicator that combines the strength of the RTI trend and its moving averages with practical trade management. It accurately identifies entry and exit points via the RTI×MA crossover with adjustable sensitivity, and supports DCA reinforcement, dynamic stop-loss, and phased partial take-profit. It plots trade lines in their true length and highlights the entry/partial/reinforcement/stop zones with clear, easy-to-read colors. It includes a detailed performance summary box (profit percentages, average holding, best/worst trade, return on investment, etc.), with ready-made alerts, a demo mode (Close×MA), and dollar pricing for capital management. Suitable for timeframes, bots, and backtesting. Visually simple… Functionally powerful
ilker %90This strategy is a short-term momentum approach based on moving averages and volume. Studies show it performs more effectively on the 1-hour and 4-hour timeframes. Take-profit and stop-loss distances are kept short, resulting in a high win rate, while the profit factor ranges between 1.4 and 2.
S/R + RSI + EMA + Trend"Multi-functional All-in-One Indicator optimized for the Crypto market. The system combines 5 core components to identify precise entry and exit points:
* Trend: A zero-lag EMA algorithm integrated with Volatility Bands that dynamically changes the candle colors. This serves as the primary trend filter, helping traders ride long waves and eliminate sideways noise.
* Dynamic Support & Resistance: Automatically identifies key price reaction zones based on Pivot Points, featuring price labels and real-time distance percentages.
* Multi-Timeframe (MTF) RSI: An on-screen RSI dashboard tracking timeframes from 1-minute to 1-day, allowing for quick monitoring of market-wide overbought and oversold conditions.
* Classic EMA System: Includes 4 exponential moving averages (34, 89, 200, 633) acting as psychological levels and long-term trend bias.
* Auto-Trendlines: Automatically plots trendlines once new swing highs and lows are confirmed."
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs.
Strategy Logic
Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend.
Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point.
Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average.
Key Features
Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout.
Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots."
Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer)
Overview
This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable.
Core idea (Percent → Tick conversion)
strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss).
This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes.
//==What it provides==//
1. % → tick conversion for:
- Fixed stop loss (loss)
- Trailing activation distance (trail_points)
- Trailing offset distance (trail_offset)
2. On-chart visualization:
- Entry average price
- Trailing activation threshold
- Fixed stop-loss line
- Trailing stop line (with an exit-bar alignment attempt to reduce gaps)
//==How to use==//
1. Keep the included MA crossover entries, or replace them with your own entries.
2. Configure:
- Fixed Stop Loss % (loss_pct)
- Trailing Activation % (t_points_pct)
- Trailing Offset % (t_offset_pct)
3. Adjust commission/slippage defaults to match your market.
//==Important limitations (must read)==//
- calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload.
- Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level.
- For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available).
# Average Entry Price (Basis):
"Calculations are based on the position's average entry price (strategy.position_avg_price)."
# Pine Script v6:
"Written in the latest Pine Script v6."
요약
이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다.
단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
SMAcross-mvrOverview
SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting.
It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging.
🚀 What’s New in v2
✅ Multiple Entry Modes
You can now choose how trades are entered:
Entry Mode A: Short SMA crosses Long SMA
Entry Mode B: Price crosses Long SMA
This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy.
✅ Modular Exit System (Checkbox-Based)
Exit logic is now fully modular using independent checkboxes:
☑ Exit on opposite signal
☑ Exit when price closes beyond Short SMA
You may enable one, both, or neither.
If both are enabled, the strategy exits on whichever condition occurs first.
✅ Terminology Clarity
All labels, inputs, and alerts now use semantic naming:
Short SMA (formerly 13 SMA)
Long SMA (formerly 30 SMA)
This makes the strategy easier to understand and future-proof if SMA lengths are changed.
✅ Full-Capital Position Sizing
Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests.
✅ Optional Visual Enhancements
Optional cross price labels (can be toggled on/off)
Color-filled zone between Short and Long SMAs for quick trend recognition
Optional 200 SMA (off by default) for higher-timeframe context
✅ Alert-Ready (TV-Safe)
All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for:
Manual trade notifications
Webhook-based automation
Broker integrations
🔒 Design Principles
No repainting
No line continuations (TradingView-safe formatting)
Stable behavior when zooming or scrolling
Clear separation of entry logic, exit logic, and visuals
⚠️ Notes
This script is intended for educational and research purposes.
Always forward-test and apply proper risk management before live trading.
Tabla de EMA's y TimeframesGraphic and permanent representation of the trend of an action/CFD/stock/crypto, directly related to the technical analysis of its EMA's.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart.
What’s Inside the Indicator
5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths.
Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill.
Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions.
Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers.
Enhanced by Trend Mastery Pro Workflow
This indicator complements the 3-step methodology of Trend Mastery Pro:
Bias → defines the dominant trend direction.
Trigger → identifies breakout or momentum expansion zones using confluence with volatility.
Management → supports consistent risk execution when combined with external strategy rules and trade plans.
Key Strengths
✔ Unified trend + volatility envelope on chart
✔ Individual component control (no clutter, no guesswork)
✔ Noise reduction in consolidation environments
✔ Adaptable to crypto, forex, indices, commodities, and equities
✔ Reliable for intraday impulse plays and structured directional setups
How to Use It
Context: Align your analysis with the broader bias before execution.
Signal: Watch for volatility expansion and trend alignment for breakout scenarios.
Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model.
Best Practices
🛡️ Tune sensitivity according to asset volatility and timeframe horizon
🛡️ Avoid trading against dominant bias during compression phases
🛡️ Always validate through backtesting and forward testing before scaling
🛡️ Log performance and refine parameters iteratively
Who It's For
Traders who want:
A repeatable and disciplined process
A professional visual structure
Less noise, more clarity, better bias alignment
A premium indicator suite that supports real decision-making
Compatibility
Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen.
Disclaimer ⚠️
This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Bollinger Bands and SMAsThis strategy combines Bollinger Bands with Simple Moving Averages (SMAs) to identify trend direction, volatility, and high-probability entry and exit zones. It is effective for stocks, options, and crypto across multiple timeframes.
Bollinger Bands:
Bollinger Bands consist of a middle band (20-period SMA) and upper/lower bands that expand and contract based on market volatility.
• Upper Band: Indicates potential overbought conditions
• Lower Band: Indicates potential oversold conditions
• Band Squeeze: Low volatility; often precedes strong breakouts
• Band Expansion: Rising volatility; confirms momentum moves
Price reactions at the bands help identify reversals, continuations, and breakout setups.
Simple Moving Averages (SMAs):
SMAs define trend structure and dynamic support/resistance.
• SMA 20: Short-term trend and momentum
• SMA 40: Intermediate trend confirmation
• SMA 100: Medium-term trend and strong reaction level
• SMA 200: Long-term trend and major institutional bias
Trend Bias Rules
• Price above SMAs = bullish bias
• Price below SMAs = bearish bias
• SMA crossovers signal trend shifts and momentum changes
Velocity Divergence Radar [JOAT]
Velocity Divergence Radar - Momentum Physics Edition
Overview
Velocity Divergence Radar is an open-source oscillator indicator that applies physics concepts to market analysis. It calculates price velocity (rate of change), acceleration (rate of velocity change), and jerk (rate of acceleration change) to provide a multi-dimensional view of momentum. The indicator also includes divergence detection and force vector analysis.
What This Indicator Does
The indicator calculates and displays:
Velocity - Rate of price change over a configurable period, smoothed with EMA
Acceleration - Rate of velocity change, showing momentum shifts
Jerk (3rd Derivative) - Rate of acceleration change, indicating momentum stability
Force Vectors - Volume-weighted acceleration representing market force
Kinetic Energy - Calculated as 0.5 * mass (volume ratio) * velocity squared
Momentum Conservation - Tracks momentum relative to historical average
Divergence Detection - Identifies when price and velocity diverge at pivots
How It Works
Velocity is calculated as smoothed rate of change:
calculateVelocity(series float price, simple int period) =>
float roc = ta.roc(price, period)
float velocity = ta.ema(roc, period / 2)
velocity
Acceleration is the change in velocity:
calculateAcceleration(series float velocity, simple int period) =>
float accel = ta.change(velocity, period)
float smoothAccel = ta.ema(accel, period / 2)
smoothAccel
Jerk is the change in acceleration:
calculateJerk(series float acceleration, simple int period) =>
float jerk = ta.change(acceleration, period)
float smoothJerk = ta.ema(jerk, period / 2)
smoothJerk
Force is calculated using F = m * a (mass approximated by volume ratio):
calculateForceVector(series float mass, series float acceleration) =>
float force = mass * acceleration
float forceDirection = math.sign(force)
float forceMagnitude = math.abs(force)
Signal Generation
Signals are generated based on velocity behavior:
Bullish Divergence: Price makes lower low while velocity makes higher low
Bearish Divergence: Price makes higher high while velocity makes lower high
Velocity Cross: Velocity crosses above/below zero line
Extreme Velocity: Velocity exceeds 1.5x the upper/lower zone threshold
Jerk Extreme: Jerk exceeds 2x standard deviation
Force Extreme: Force magnitude exceeds 2x average
Dashboard Panel (Top-Right)
Velocity - Current velocity value
Acceleration - Current acceleration value
Momentum Strength - Combined velocity and acceleration strength
Radar Score - Composite score based on velocity and acceleration
Direction - STRONG UP/SLOWING UP/STRONG DOWN/SLOWING DOWN/FLAT
Jerk - Current jerk value
Force Vector - Current force magnitude
Kinetic Energy - Current kinetic energy value
Physics Score - Overall physics-based momentum score
Signal - Current actionable status
Visual Elements
Velocity Line - Main oscillator line with color based on direction
Velocity EMA - Smoothed velocity for trend reference
Acceleration Histogram - Bar chart showing acceleration direction
Jerk Area - Filled area showing jerk magnitude
Vector Magnitude - Line showing combined vector strength
Radar Scan - Oscillating pattern for visual effect
Zone Lines - Upper and lower threshold lines
Divergence Labels - BULL DIV / BEAR DIV markers
Extreme Markers - Triangles at velocity extremes
Input Parameters
Velocity Period (default: 14) - Period for velocity calculation
Acceleration Period (default: 7) - Period for acceleration calculation
Divergence Lookback (default: 10) - Bars to scan for divergence
Radar Sensitivity (default: 1.0) - Zone threshold multiplier
Jerk Analysis (default: true) - Enable 3rd derivative calculation
Force Vectors (default: true) - Enable force analysis
Kinetic Energy (default: true) - Enable energy calculation
Momentum Conservation (default: true) - Enable momentum tracking
Suggested Use Cases
Identify momentum direction using velocity sign and magnitude
Watch for divergences as potential reversal warnings
Use acceleration to detect momentum shifts before price confirms
Monitor jerk for momentum stability assessment
Combine force and kinetic energy for conviction analysis
Timeframe Recommendations
Works on all timeframes. Higher timeframes provide smoother readings; lower timeframes show more granular momentum changes.
Limitations
Physics analogies are conceptual and not literal market physics
Divergence detection uses pivot-based lookback and may lag
Force calculation uses volume ratio as mass proxy
Kinetic energy is a derived metric, not actual energy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
EMA 9 vs VWMA 30 Portillo Valentin “It uses a 9‑period moving average and a volume‑weighted moving average. It gives a crossover signal, and the parameters can be adjusted.”






















