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Enhanced Zones with Volume StrengthEnhanced Zones with Volume Strength
Your reliable visual guide to market zones — now with Multi-Timeframe (MTF) power!
What you get:
Clear visual zones on your chart — color-coded boxes that highlight important price areas.
Blue Boxes for neutral zones — easy to spot areas of indecision or balance.
Gray Boxes to show normal volume conditions, giving you context without clutter.
Green Boxes highlighting bullish zones where strength is showing.
Red Boxes marking bearish zones where weakness might be in play.
Multi-Timeframe Support:
Seamlessly visualize these zones from higher timeframes directly on your current chart for a bigger-picture view, helping you make smarter trading decisions.
How to use it:
Adjust the box width (in bars) to fit your trading style and timeframe.
Customize colors and opacity to suit your chart theme.
Toggle neutral blue and gray volume boxes on/off to focus on what matters most to you.
Set the maximum number of boxes to keep your chart clean and performant.
Why you’ll love it:
This indicator cuts through the noise by visually marking zones where volume and price action matter the most — without overwhelming your chart. The MTF feature means you’re always aligned with higher timeframe trends without switching views.
Pro tip:
Use these boxes as dynamic support/resistance areas or to confirm trade setups alongside your favorite indicators.
No complicated formulas here, just crisp, actionable visuals designed for clarity and confidence.
SMA 90 Crossover Signalمؤشر Samer MA Flow هو أداة فنية متقدمة تعتمد على ثلاثة متوسطات متحركة بسيطة (SMA) بفترات 45 و90 و180.
يعتمد المؤشر على سلوك السعر حول المتوسط 90 (الخط الأزرق) لتوليد إشارات دخول وخروج واضحة:
• إشارة شراء عندما يخترق السعر SMA 90 صعودًا.
• إشارة بيع عندما يكسر السعر SMA 90 هبوطًا.
كما يُظهر المؤشر SMA 45 و180 لمتابعة الاتجاه العام والزخم بشكل بصري واضح.
الميزات:
• إشارات دخول/خروج بسيطة وفعالة.
• يعرض SMA 45 / 90 / 180 بوضوح.
• يعمل على جميع الفريمات الزمنية.
• مناسب للمبتدئين والمحترفين.
• يمكن دمجه مع أدوات فنية أخرى
Samer MA Flow is an advanced yet simple indicator based on three Simple Moving Averages (SMA): 45, 90, and 180.
It generates clear buy and sell signals based on price interaction with the SMA 90 (the blue line):
• Buy signal when the price crosses above SMA 90.
• Sell signal when the price crosses below SMA 90.
The indicator also displays SMA 45 and 180 to help identify trend structure and momentum visually.
Features:
• Simple and effective entry/exit signals.
• Visualizes SMA 45 / 90 / 180.
• Works on all timeframes.
• Suitable for beginners and professionals.
• Easy to combine with other technical tools
COT-Index-NocTradingCOT Index Indicator
The COT Index Indicator is a powerful tool designed to visualize the Commitment of Traders (COT) data and offer insights into market sentiment. The COT Index is a measurement of the relative positioning of commercial traders versus non-commercial and retail traders in the futures market. It is widely used to identify potential market reversals by observing the extremes in trader positioning.
Customizable Timeframe: The indicator allows you to choose a custom time interval (in months) to visualize the COT data, making it flexible to fit different trading styles and strategies.
How to Use:
Visualize Market Sentiment: A COT Index near extremes (close to 0 or 100) can indicate potential turning points in the market, as it reflects extreme positioning of different market participant groups.
Adjust the Time Interval: The ability to adjust the time interval (in months) gives traders the flexibility to analyze the market over different periods, which can be useful in detecting longer-term trends or short-term shifts in sentiment.
Combine with Other Indicators: To enhance your analysis, combine the COT Index with your technical analysis.
This tool can serve as an invaluable addition to your trading strategy, providing a deeper understanding of the market dynamics and the positioning of major market participants.
Retail SMFI _ StrategicVault-999Alright, real talk: this is my Retail SMFI — a mashup of volume and price action designed to sniff out when retail traders might be crowding in or out (overbought or oversold zones).
Just kidding… or am I? 😉
What’s going on here?
I took a simple idea: if price and volume move together, the trend might be strong; if they’re out of sync, maybe a reversal’s brewing.
So, I smoothed the price and volume with a 21-period EMA each, then checked how closely they correlate over the last 14 bars. Multiply that by 100 and boom — you get SMFI, a handy signal telling you when the crowd might be pushing too far.
What to expect on your chart:
SMFI line in green when price and volume agree (bullish vibes)
SMFI line in red when they disagree (watch out!)
Clear overbought (default 50) and oversold (-50) lines, so you know when things are getting spicy.
Background flashes red or green in those extreme zones — can’t miss ‘em!
Alerts ready to ping you when SMFI hits those levels. Perfect if you don’t want to stare at the screen all day.
Should you trust it?
Well… it’s a simple but solid tool to catch when retail crowd behavior might be peaking or bottoming out. Not magic, but it’s got your back when combined with other indicators or your own smarts.
If you like this kind of no-nonsense volume+price combo, you’re gonna love it. If not, hey, blame me — but maybe give it a try first? 😄
In short:
I made this for fun — but it’s surprisingly useful.
Use it wisely, don’t blindly follow it, and maybe you’ll catch some juicy reversals.
Need it tweaked? Hit me up!
And hey, if you find a bug, that’s on me too. Just kidding, mostly. 😅
Time-Weighted Fractality (TWF)The Time-Weighted Fractality (TWF) indicator is your secret weapon to measure how stable or volatile a market truly is — by tracking how long trends persist, and weighting that against recent history.
Why you need TWF in your toolkit:
Markets aren’t always trending or choppy in a simple on/off way. TWF quantifies trend duration dynamics — revealing when the market is locked into a strong, stable trend or stuck in erratic, unpredictable moves.
How it works — sharp and simple:
Trend Duration Tracking:
Measures how many bars since the last highest high changed within a specified lookback. This tells you how long the current trend has been running.
Smoothed Average Duration:
Uses an EMA to smooth trend duration, providing a reliable baseline of recent trend behavior.
Ratio Calculation (TWF):
The core metric — current trend duration divided by average trend duration.
TWF > 1.2 means the current trend is stronger and more persistent than usual.
TWF < 0.8 signals a volatile, choppy market struggling to hold any trend.
What you see on the chart:
A clean TWF line plotted with clear zones:
Green zone = Strong, stable trend environment
Red zone = Choppy, volatile conditions to avoid or trade cautiously
Background shading highlights these zones for instant clarity
Markers appear at critical points for quick visual cues
Why traders swear by it:
✅ Reliable trend confirmation: Avoid false signals by only acting when TWF confirms sustained market momentum.
✅ Timing tool: Perfect for spotting when a trend is building strength or losing grip — invaluable for entries and exits.
✅ Versatile: Works on all timeframes and instruments, from forex to stocks to crypto.
✅ Simple but powerful: Combines fractal concept with time weighting and smoothing — giving you a next-level understanding of market rhythm.
Pro tip:
Use TWF alongside your favorite price or volume-based indicators for unmatched precision. For example, confirm breakouts only when TWF signals a stable trend zone to increase your win rate.
In a sea of noise, TWF cuts through to give you real, actionable insight. Trust it, build your strategy around it — it’s that good.
VIDYA (Chande)This script brings you VIDYA – the Variable Index Dynamic Average, developed by Tushar Chande. It’s not your typical moving average. Unlike the standard SMA or EMA, VIDYA adapts its speed and smoothness based on real-time market momentum using the Chande Momentum Oscillator (CMO).
Think of it like a moving average that gets faster during strong trends and slows down during sideways or choppy markets — just like how a smart trader would!
🧠 What Makes VIDYA Different?
Traditional moving averages use fixed smoothing, so they lag more during big moves or chop during weak trends.
VIDYA fixes that by adapting its behavior dynamically:
When momentum is strong → VIDYA reacts faster 🚀
When momentum is weak → VIDYA smooths out the noise 🧘
⚙️ How It Works (Explained Simply):
1️⃣ CMO Calculation (Chande Momentum Oscillator):
We look at the past cmoLength candles (default 9) and:
i) Add up all the positive price changes (gains)
ii) Add up all the negative price changes (losses)
iii) Use those to compute a normalized momentum score between -100 and +100
📌 CMO = (Gains - Losses) / (Gains + Losses)
• This gives us a momentum reading that powers the next step.
2️⃣ Dynamic Alpha Smoothing:
• We convert the absolute value of the CMO into an alpha — this is the "speed" of the VIDYA.
📌 Higher momentum = higher alpha → faster response
📌 Lower momentum = lower alpha → smoother behavior
3️⃣ VIDYA Formula:
• Finally, we apply the smoothing:
📌 VIDYA = α × Price + (1 - α) × Previous VIDYA
• This equation continuously adapts to market behavior — trending or ranging.
📊 What’s Plotted?
🟠 The VIDYA Line:
A smooth, responsive line plotted on your price chart that adjusts in real-time with price momentum.
🔎 How to Use It:
✅ Use it like a moving average, but smarter:
• Price > VIDYA and rising → Trend is likely up
• Price < VIDYA and falling → Trend is likely down
• Flat VIDYA = Possible consolidation or sideways market
✅ Combine with:
• Breakout strategies (VIDYA confirms momentum)
• Reversal entries (look for price crossing VIDYA)
• Volatility filters (ignore signals when VIDYA flattens)
🧪 Bonus Tip:
Pair this with a volume indicator (like my Volume Confirmation Bars or Volume Strength Highlight) to confirm whether momentum is backed by real participation or just a fakeout.
📩 Want alerts, dual-timeframe overlays, or VIDYA with other base inputs (like typical price or HLC3)? Let me know — happy to expand this for your setup!
Stay adaptive, not reactive — trade smarter with VIDYA! 🧠📉📈
Volume Confirmation Bars📊
This script is a leveled-up companion to my earlier Volume Strength Highlight — but this time, it’s built with more focus on confirmation, clarity, and cleaner visual impact directly on your price chart.
🧠 What is this about?
This tool highlights candles only when volume truly matters — either when it’s unusually high or conspicuously low, compared to its recent average.
It uses a simple but powerful method:
A customizable SMA-based volume baseline
A multiplier filter to define what counts as "strong" or "weak" volume
Optional bar coloring to show volume sentiment right on your chart — no need to stare at the volume pane anymore.
🧮 How it works:
Average Volume Line:
We calculate a moving average (default 18 candles) of the volume. This acts as our benchmark.
Volume Spike Rule:
If current volume is above the average × multiplier (say, 1.3×), it’s marked as High Volume.
Low Volume Rule:
If current volume is below the average ÷ multiplier, it’s marked as Low Volume.
Bar Coloring:
🟢 High Volume Candle? → Green bar (you can customize it)
🔴 Low Volume Candle? → Red bar (also customizable)
Volume in between? → No coloring, just regular candles
This gives you instant volume sentiment, directly overlaid on price.
🔎 Why it matters:
Many traders watch for volume confirmation — whether it's a breakout, trend continuation, or reversal. But raw volume alone is noisy.
This script shows "when the crowd is truly active or asleep", making it perfect for:
Breakout strategies 🧨
Fakeout avoidance ⚠️
Confirming momentum moves 🚀
Identifying silent zones before news drops 📉
🛠 Settings You Control:
MA Length: How smooth or sensitive the baseline should be
Multiplier: Adjust how strict volume spikes need to be
Enable/Disable Coloring: Use as a visual tool or just a backend confirmation filter
Custom Colors: Match your theme 🎨
🧪 Tip:
You can combine this with any strategy or indicator — especially trend-following or candlestick-based tools like:
TSI / MACD
Engulfing or Hammer Candles
Support/Resistance Breakouts
✅ Use it as a volume filter, not a standalone system.
🔥 Works great with my "Volume Strength Highlight" script — use both together for better clarity!
Let me know if you’d like divergence alerts, volume zone shading, or a multi-timeframe version — always happy to build more for the community! 💬
Vervoort's True Strength Index (TSI)Hi traders! 👋
This script brings you a clean and enhanced version of the True Strength Index (TSI) developed by William Blau and later popularized by M.H. Vervoort.
It’s a momentum-based oscillator that helps identify trend direction, strength, and potential reversals with reduced noise and smoother signals compared to RSI or MACD.
🔍 What This Script Does:
Plots the TSI line — a smoothed momentum oscillator
Adds a signal line (EMA of TSI) to identify crossovers
Displays a histogram to visually show the difference between TSI and the signal line
Includes a zero line to detect trend shifts
📘 How It Works — Explained Line by Line:
momentum = price - price
We measure raw momentum (how much price changed since the last candle).
doubleSmoothedMomentum = ta.ema(ta.ema(momentum, short), long)
This is the core: we apply two layers of EMA smoothing to filter out noise and get clean momentum flow.
doubleSmoothedAbsMomentum = ta.ema(ta.ema(abs(momentum), short), long)
Same smoothing, but on absolute momentum (we use this for normalization).
TSI = 100 * (smoothed momentum / smoothed absolute momentum)
This gives us a bounded, normalized oscillator between roughly -100 and +100.
High positive values = strong bullish momentum.
Low negative values = strong bearish momentum.
Signal = EMA of TSI
Just like MACD — we smooth TSI again to generate a signal line for crossovers.
Histogram = TSI - Signal
This is the difference between the TSI and the signal. Positive = bullish bias; negative = bearish bias.
🟦 Plots on the Chart:
🔵 TSI Line (blue): Main momentum signal
🟠 Signal Line (orange): EMA of TSI, used for crossovers
🟩🟥 Histogram (green/red columns): Shows who’s in control — bulls or bears
⚪ Zero Line (gray dashed): Momentum flips around this line
✅ How to Use It:
TSI crossing above signal line → Potential bullish momentum
TSI crossing below signal line → Possible bearish shift
Both lines above zero → Uptrend confirmation
Both below zero → Downtrend confirmation
Histogram changing color → Early clue of a shift in strength
🔁 You can adjust the Short, Long, and Signal EMA lengths to fit your strategy (shorter = faster but noisier, longer = smoother but slower).
⚠️ Note:
Works best with trend-following or breakout strategies
Combine with volume or price action to confirm signals
Avoid using it alone in sideways markets (like all oscillators)
💬 Let me know if you'd like to add divergence detection, alerts, or multi-timeframe filters — happy to build on it!
Hope this helps make your trading clearer and more confident 🚀
SMA Strategy with Re-Entry Signal (v6 Style)*SMA Trend Strategy with Re-Entry Signal (v6 Edition)*
This indicator is based on a classic moving average trend-following system, enhanced with re-entry signals designed for medium to short-term traders.
---
### 📈 Key Features:
1. *Trend Detection Logic:*
- The 30-period SMA (SMA30) is used as the trend filter.
- When the closing price is above the SMA30, the market is considered to be in an uptrend.
2. *Re-Entry Signal:*
- While in an uptrend, if the closing price crosses above the SMA20, a re-entry (add position) signal is triggered.
- These signals are shown with green upward arrows below the bars.
3. *Background Highlighting:*
- Green background: indicates an uptrend.
- Red background: indicates a break below SMA30, suggesting weakening momentum.
4. *Multi-SMA Visualization:*
- Five SMAs are displayed: SMA10, SMA20, SMA30, SMA60, and SMA250.
- This helps visualize both short-term and long-term trend structures.
---
### 🔍 Usage Tips:
- Use this script directly on your main chart to monitor trend direction and wait for re-entry signals during pullbacks.
- Combine with other tools like volume, price action, or candlestick patterns to confirm entries.
---
### ⚠️ Disclaimer:
- This indicator is for educational and informational purposes only. It does not constitute financial advice or a buy/sell signal.
- Avoid relying solely on this script for trading decisions. Always manage your own risk.
---
👨💻 *Developer’s Note:*
This script is 100% manually developed, not copied or auto-generated. It is an original implementation based on my personal trading logic. Suggestions and feedback are welcome!
EMA for Stratagems Strategy by xDSHxThe EMA indicator for the Stratagem 2025 strategy
The following EMAs are calculated:
- Fast EMA on the current TF
- Slow EMA on the current TF
- Fast EMA on the older TF
- Slow EMA on high TF
For a slow EMA on the current TF, the stop loss level is calculated.
Enhanced Candlestick Patterns (Optimized)Hey traders 👋
Ever missed a good move just because you didn't spot the pattern in time? Yeah, same here. That’s why I made this script — a cleaner, optimized version that detects key candlestick reversal patterns automatically 🔍
It highlights:
Bullish & Bearish Engulfing candles (with body ratio filtering)
Improved Harami patterns (using dynamic size filters)
Hammer & Inverted Hammer (based on wick/body ratios + position)
Morning Star & Evening Star combos (3-candle formations)
💡 Each pattern has logic tuned with extra filters — like wick lengths, ratios, and body positioning — so it’s more precise and less noisy than most basic pattern detectors.
✅ Helps spot early trend shifts
❌ Not meant to be standalone signals — use it with your own setup!
Patterns are marked clearly with color-coded shapes/labels so they’re easy to catch even in fast markets.
Feedback or ideas to improve? Just let me know — always happy to tweak and learn! 🚀
Volume Strength HighlightThis simple script helps you quickly see when volume is strong or weak on the chart — it highlights the candles based on how the current volume compares to the recent average 📊
🔍 Here's what it does:
Calculates a 20-bar average volume
Marks candles green or red if volume is much higher than average (more than 1.5x)
Marks candles gray if volume is very low (less than 0.5x the average)
Normal candles stay unchanged
You can also turn on a basic volume plot in a separate panel if you want to compare visually (just toggle it in settings).
⚠️ It’s not a buy/sell signal — just a helper to see when the market is waking up or going quiet.
Not perfect but works well with other indicators! Let me know if you like it or have ideas to add more 💡
🇺🇸 Patriot Trend Ribbon v2.7🇺🇸 **Patriot Trend Ribbon v2.7** 🇬🇧
A no-nonsense trend ribbon indicator built for swing and position traders.
🚩 Red = Downtrend
🔵 Blue = Uptrend
A clean visual band identifies major market shifts with clarity.
📈 Works on:
- Crypto (BTC, ETH, SOL, etc.)
- Indices (SPX, NASDAQ)
- Forex & commodities
🎯 Optimized for 1D charts but effective across all timeframes.
🛡️ Inspired by tried and tested methods along with years of experience — Reimagined for modern patriots.
👉 DM me @GrantBev to get access.
Market Sleep ZonesHey traders 👋
This script shows when the market is in a "sleeping" or low volatility phase. I call it Market Sleep Zones 😴
It looks at the average price movement over a window (default 20 bars), and if the price changes are small (under a % threshold you set), it highlights that area on the chart with a soft green background.
💡 This can help spot moments when the market is quiet — maybe before a breakout or just moving sideways.
It also places labels to mark where these zones start and end, so it's easy to track.
You can change:
The window size (how many bars to look back)
The breath depth (how much price is allowed to move before it’s "not sleeping" anymore)
Not perfect, but helpful if you want to avoid getting chopped in low-volatility zones or want to prepare for when the market "wakes up" 😄
Let me know if you find it useful or have ideas to improve it!
Demand Index (Hybrid Sibbet) by TradeQUO\ Demand Index (Hybrid Sibbet) by TradeQUO \
\ Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\ Calculation\
\
\ \ Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \ Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \ Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \ Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \ Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \ Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \ Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\ Interpretation\
\
\ \ Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \ DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \ Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \ Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\ Usage Notes & Warnings\
\
\ \ Never Use DI in Isolation\
It is a \ filter\ and \ confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \ Parameter Selection\
• \ Vol EMA length (n₁)\ : Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \ Buy/Sell EMA length (n₂)\ : Typically 2 bars for fast smoothing.
• \ DI smoothing (n₃)\ : Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \ Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\ In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
MÈGAS ALGO : MÈGAS Engine [STRATEGY]Overview
The MÈGAS Engine is a sophisticated algorithmic trading strategy that combines multiple technical analysis components to identify high-probability entry and exit points. This strategy is designed for experienced traders seeking a comprehensive, rule-based approach to market participation.
Key Features
Core Signal Generation:
-Structure Break Detection: Advanced breakout identification with adjustable
sensitivity controls
-Dual-Direction Analysis: Separate bullish and bearish signal parameters with customizable delta
thresholds and depth settings
-Dynamic Parameter Management: OverfitShield technology with pulsewave parameter cycling
to reduce overfitting risks
Filtering Alghoritm:
-Volatility Filter: Rogers-Satchell volatility estimation with RSI-based normalization to avoid
trading in unfavorable market conditions
-Volume Confirmation: Cumulative volume analysis ensuring adequate liquidity support for trade
entries
OverfitShield Method:
OverfitShield is a built-in function within the trading strategy designed to reduce overfitting bias by introducing parameter variability during execution. When the "PULSWAVE" mode is activated, instead of relying on fixed values for key strategy parameters the system dynamically selects values from customizable ranges.
This approach mimics real-world market uncertainty and ensures that the strategy does not become overly dependent on a single optimal value found during backtesting — making it more robust across different market conditions and time periods.
Position Management
-Customizable Exit Set-up
The exit logic can be customized to 'CONTINUE', 'TAKE PROFIT', or 'TRAILING PROFIT' to suit
your trading approach and maximize performance.
-CONTINUE Mode:
This mode does not use predefined take profit levels. Instead, it remains in the market as long as the trend persists. By avoiding fixed exit points, this approach is often the most effective in backtesting, as it allows positions to run in favorable trends for longer periods.
-TAKE PROFIT Mode:
This mode allows you to set multiple grid-like take profit levels at different price points, effectively creating a multi-tier exit strategy. You can specify the number of profit levels you want, along with the percentage step between each level. This structured approach can be beneficial for capturing incremental profits in a trending market while allowing for more flexibility in trade management.
-TRAILING PROFIT Mode:
Similar to the Take Profit mode, this option allows you to set the trailing stop levels. The trailing stop moves with the market, ensuring that you lock in profits as the price continues to move in your favor. Once a profit level is hit, the trailing stop "follows" the price movement, adjusting dynamically to safeguard profits as the trade progresses.
3. Customizable Insight Alerts
Traders can configure personalized alert messages for every strategy action, including entries, exits, and profit targets. These alerts are fully compatible with TradingView's webhook system.
Advantages
Customization: Fully customizable exit set-up and alerts allow traders to tailor the strategy to their personal trading objectives.
How It Works — Step by Step
Step 1: Apply the Strategy
Open the chart for your selected symbol and timeframe. Add the MÈGAS Engine to the chart.
Step 2:Backtesting and Optimization
Run a full backtest and optimize the strategy parameters across the chosen trading pairs to:
Identify robust settings that perform consistently well
Avoid overfitting through validation techniques
Select the most profitable and stable configuration for live or forward testing.
Step 3: Review Results and Alerts
Check the backtest results on the chart and confirm that the custom alert messages are displaying as expected. This helps verify that everything is functioning correctly before moving forward.
Step 4: Configure Portfolio Management
Set up the exit logic based on your specific requirements. Tailor the exit strategy to match your trading approach, whether you prefer predefined take profit levels, trailing stops, or a trend-following method. This flexibility ensures the exit logic aligns with your overall strategy for optimal performance.
Open the strategy settings window. In the dedicated portfolio management section, choose your preferred capital allocation method based on your trading style and risk preferences. Once set, save the configuration as the default.
Step 5: Set Up Alerts
Click "Add Alert" on the strategy
-In the message field, use: {{strategy.order.comment}}
Under the Notifications tab:
-Enable Webhook URL
-Enter your external webhook address
-Click 'Create' to activate alerts for your strategy
Please Note:
The MÈGAS Suite is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions.
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table.
What It Does
Monitors volume for each bar and compares it to an average over a user-defined lookback period.
Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume.
Triggers an alert when current volume exceeds the threshold percentage above the average.
Displays a table on the chart with:
Current Volume
Average Volume
Threshold Percentage
Optional empty row for spacing/formatting
How It Works
User Inputs:
lookbackPeriods: Number of bars used to calculate the average volume.
thresholdPercent: % above the average that triggers a volume spike alert.
smoothingType: Type of moving average used for volume calculation.
textColor, bgColor: Formatting for the display table.
tablePositionInput: Where the table appears on the chart (e.g., Bottom Right).
Toggles for showing/hiding parts of the table.
Volume Calculations:
Calculates current bar's volume.
Calculates average volume using the selected smoothing method.
Computes the threshold: avgVol * (1 + thresholdPercent / 100).
Compares current volume to threshold.
Table Display:
Dynamically creates a table with volume stats.
Adds rows based on user preferences.
Alerts:
alertcondition fires when currentVol crosses above the calculated threshold.
Message: "Volume Threshold Exceeded"
Usage Examples
Example 1: Spotting High Activity
Apply the script to a stock like AAPL on a 5-minute chart.
Set lookbackPeriods to 20 and thresholdPercent to 30.
Use EMA for more reactive volume tracking.
When volume spikes more than 30% above the 20-period EMA, an alert triggers.
Example 2: Day Trading Filter
For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT).
Set thresholdPercent to 50 to catch only strong surges.
Position the table at the top left and reduce visible info for a clean layout.
Example 3: Long-Term Context
On a daily chart, use SMA and set lookbackPeriods to 50.
Helps identify breakout moves supported by strong volume.
How this is different from Trading View's Volume indicator:
The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert.
===== ORIGINAL DESCRIPTION =====
Volume Spike Alert & Overlay
This indicator will display the following as an overlay on your chart:
Current volume
Average Volume
Threshold for Alert
Description:
This indicator will display the current bar volume based on the chart time frame,
display the average volume based on selected conditions,
allow user selectable threshold over the average volume to trigger an alert.
Options:
Average lookback period
Smoothing type
Alert Threshold %
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement in top corner
Usage Example:
I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes.
Set the threshold to 25% in the settings
Create an alert by clicking on the 3 dots on the right of the indicator title on the chart
When the threshold is exceeded the alert will trigger
Doganayy2 Buy/Sell & liquidityTrap🔧 User-Changeable Settings and Their Meanings
1. ✅ Is Wick Filter Active?
What does it do?: Controls the length of the candle wick.
Effect: If active, a long wick is considered a trap (a sign of manipulation).
2. 📊 Is Volume Filter Active?
What does it do?: Controls abnormally high volume according to the volume average.
Effect: If active, high volume candles are considered for a liquidity trap signal.
3. 📈 Is RSI Filter Active?
What does it do?: Controls overbought/oversold according to the RSI level.
Effect: If active;
If RSI > ?, a long trap is searched.
If RSI < ?, a short trap is searched.
4. 🔴🟢 Is Candle Color (Direction) Filter Active?
What does it do?: Controls whether the candle is green or red.
Effect: If active;
A red candle (selling pressure) is required for a long trap.
A green candle (buying pressure) is required for a short trap.
5. 🧮 Is Fibonacci Level Filter Active?
What does it do?: Checks whether the price has reached important Fibonacci levels.
Effect: If active;
For a long trap, the price must rise above the Fibo level.
For a short trap, the price must fall below the Fibo level.
6. 📏 Is ATR Filter Active?
What does it do?: Checks whether there is sufficient deviation in the price according to the ATR.
Effect: If active;
A trap signal is given according to whether the price has moved too far from the ATR.
📌 As a result:
As these filters are activated, the system's long/short trap detection becomes tighter and produces fewer but more reliable signals. If you close the filters, you will receive more signals, but reliability may decrease.
Purpose of the indicator: To present buy/sell opportunities by detecting liquidity traps.
Adaptive Volume‐Demand‐Index (AVDI)Demand Index (according to James Sibbet) – Short Description
The Demand Index (DI) was developed by James Sibbet to measure real “buying” vs. “selling” strength (Demand vs. Supply) using price and volume data. It is not a standalone trading signal, but rather a filter and trend confirmer that should always be used together with chart structure and additional indicators.
---
\ 1. Calculation Basis\
1. Volume Normalization
$$
\text{normVol}_t
= \frac{\text{Volume}_t}{\mathrm{EMA}(\text{Volume},\,n_{\text{Vol}})_t}
\quad(\text{e.g., }n_{\text{Vol}} = 13)
$$
This smooths out extremely high volume spikes and compares them to the average (≈ 1 means “average volume”).
2. Price Factor
$$
\text{priceFactor}_t
= \frac{\text{Close}_t - \text{Open}_t}{\text{Open}_t}.
$$
Positive values for bullish bars, negative for bearish bars.
3. Component per Bar
$$
\text{component}_t
= \text{normVol}_t \times \text{priceFactor}_t.
$$
If volume is above average (> 1) and the price rises slightly, this yields a noticeably positive value; conversely if the price falls.
4. Raw DI (Rolling Sum)
Over a window of \$w\$ bars (e.g., 20):
$$
\text{RawDI}_t
= \sum_{i=0}^{w-1} \text{component}_{\,t-i}.
$$
Alternatively, recursively for \$t \ge w\$:
$$
\text{RawDI}_t
= \text{RawDI}_{t-1}
+ \text{component}_t
- \text{component}_{\,t-w}.
$$
5. Optional EMA Smoothing
An EMA over RawDI (e.g., \$n\_{\text{DI}} = 50\$) reduces short-term fluctuations and highlights medium-term trends:
$$
\text{EMA\_DI}_t
= \mathrm{EMA}(\text{RawDI},\,n_{\text{DI}})_t.
$$
6.Zero Line
Handy guideline:
RawDI > 0: Accumulated buying power dominates.
RawDI < 0: Accumulated selling power dominates.
2. Interpretation & Application
Crossing Zero
RawDI above zero → Indication of increasing buying pressure (potential long signal).
RawDI below zero → Indication of increasing selling pressure (potential short signal).
Not to be used alone for entry—always confirm with price action.
RawDI vs. EMA_DI
RawDI > EMA\_DI → Acceleration of demand.
RawDI < EMA\_DI → Weakening of demand.
Divergences
Price makes a new high, RawDI does not make a higher high → potential weakness in the uptrend.
Price makes a new low, RawDI does not make a lower low → potential exhaustion of the downtrend.
3. Typical Signals (for Beginners)
\ 1. Long Setup\
RawDI crosses zero from below,
RawDI > EMA\_DI (acceleration),
Price closes above a short-term swing high or resistance.
Stop-Loss: just below the last swing low, Take-Profit/Trailing: on reversal signals or fixed R\:R.
2. Short Setup
RawDI crosses zero from above,
RawDI < EMA\_DI (increased selling pressure),
Price closes below a short-term swing low or support.
Stop-Loss: just above the last swing high.
---
4. Notes and Parameters
Recommended Values (Beginners):
Volume EMA (n₍Vol₎) = 13
RawDI window (w) = 20
EMA over DI (n₍DI₎) = 50 (medium-term) or 1 (no smoothing)
Attention:\
NEVER use in isolation. Always in combination with price action analysis (trendlines, support/resistance, candlestick patterns).
Especially during volatile news phases, RawDI can fluctuate strongly → EMA\_DI helps to avoid false signals.
---
Conclusion The Demand Index by James Sibbet is a powerful filter to assess price movements by their volume backing. It shows whether a rally is truly driven by demand or merely a short-term volume anomaly. In combination with classic chart analysis and risk management, it helps to identify robust entry points and potential trend reversals earlier.
