VHX EMA 135/315📈 EMA 135/315 Cross Strategy – Your Trend Compass with Smart Confirmations
🔍 Core Idea
The EMA 135/315 Cross strategy is a trend-following system.
It tracks two moving averages:
EMA 135 → the “fast” line that reacts to short-term price moves
EMA 315 → the “slow” line that reacts to the bigger trend
When the fast EMA crosses above the slow EMA → market momentum is turning up → BUY signal 🟢
When the fast EMA crosses below the slow EMA → momentum is turning down → SELL signal 🔴
This gives you a clear entry trigger — no guessing, no overcomplication.
✨ On Your Chart
BUY/SELL Arrows
🟢 Green arrow = bullish cross → trend turning up
🔴 Red arrow = bearish cross → trend turning down
Trend Info Panel (Top Left)
Current Trend: BUY / SELL / Neutral
Last Cross: how many bars ago it happened
EMA Gap in %: measures the strength of the trend
Status: “Approaching” if EMAs are getting close → possible cross soon
Automatic TP/SL Levels
📈 TP line (+2% from entry)
📉 SL line (–0.5% from entry)
Saves time — you instantly see your target and protection
EMA Distance Meter
Big % gap = strong trend momentum 🚀
Small % gap = weak or sideways market ⚠️
Real-Time Alerts
You get notified when a cross happens, even if you’re away from the screen
🧠 The Logic Behind It
The EMA 135 reacts faster → it reflects short-term momentum
The EMA 315 moves slower → it reflects the main trend
When the fast EMA overtakes the slow EMA: short-term strength now aligns with the long-term trend → higher probability of a sustained move
The gap % tells you how strong the alignment is — large gap = cleaner moves, small gap = market in transition
“Approaching” status warns that the EMAs are converging, which often happens before a reversal
📊 Boosting the Strategy with Volume Analysis
The EMA cross is a strong trigger, but volume confirms the quality of the move:
High Volume + Cross → more reliable signal, as strong market participation is pushing the trend
Low Volume + Cross → caution, the move might be weak or a false breakout
💡 Tip:
Check the volume histogram or a volume-based indicator (e.g., Volume Profile, OBV).
On a BUY signal: volume should spike above the recent average.
On a SELL signal: watch for strong selling volume bars.
📍 Adding Support & Resistance for Precision
Support and resistance levels help filter out bad trades and optimize entries:
Best BUY setups:
EMA 135 crosses above EMA 315 near a known support zone
Bonus if volume confirms the move
Avoid buying directly into a strong resistance
Best SELL setups:
EMA 135 crosses below EMA 315 near a known resistance zone
Bonus if selling volume is strong
Avoid selling directly into a major support
💡 Use tools like horizontal lines, previous highs/lows, and Volume Profile nodes to spot these zones.
📈 Best Usage Practices
Timeframes
Lower timeframes (1m–5m) → more signals, but more noise → best for scalping with extra filters
Always Combine With Confirmation
EMA Cross = Trigger
Volume spike = Confirmation
S/R zone in your favor = High-probability setup
Manage Risk
Start with the built-in TP/SL
Adjust SL if volatility is higher than usual
Consider trailing stop once price moves in your favor
Avoid Sideways Markets
If EMA gap % is very small and crosses happen often → stand aside until a clear direction forms
Use Alerts
Set alerts for BUY & SELL crosses so you never miss a setup
In short:
This isn’t just an EMA cross indicator — it’s a trend system with built-in risk management, strength measurement, and pre-trade preparation. Combine it with volume confirmation and smart use of support/resistance, and you turn a simple signal into a high-probability trading edge.
Análise de Tendência
Dynamic S/R Zones Pro [By TraderMan]Dynamic S/R Zones Pro
Short pitch:
Dynamic S/R Zones Pro automatically maps support and resistance levels using pivot highs/lows and draws surrounding zones. It displays lines, labels and a table — making it fast to spot relevant price areas on your chart. 📊✨
🔎 What does this indicator do?
Detects pivot highs/lows and converts them into dynamic S/R levels.
Draws a zone around each level (upper & lower bands) so you can see the interaction area. 🟢🔴
Counts how often each level was tested and writes that “strength” in the table — so you can prioritize levels.
Fully configurable colors, line styles, zone width and table display. 🎛️
Note: Pivot-based S/R is a widely used, objective way to map price levels — see pivot basics.
Investopedia
⚙️ How it works (technical)
Uses pivotRange = 10 to search for highs/lows inside that window.
Looks back analysisPeriod (284 in your script) and selects meaningful pivots; filters by strengthSR threshold.
channelPercent and zonePercent define band thickness (zone), with zoneWidthPercent applied over the last 300 bars.
Strength = number of times price tested that band; used for filtering and the table.
High/Low Zones option draws wide reference bands around the period’s highest/lowest pivots.
(Pivot logic here is pivot-based SR mapping — not classical static pivot formulas, but the same principle of marking widely watched price levels.)
Investopedia
🛠️ How to use (step-by-step)
Enable SR: toggle S/R drawing on/off.
Strength (strengthSR): increase to show only well-tested levels, decrease to show more levels.
Line Style / Width: readability and aesthetics.
Show Zones / Zone Width %: enable zones and set width (e.g. 2% of recent range).
Show High/Low Zones: draw wide reference zones for the highest/lowest pivots.
Extend SR: extend lines across the chart (past/future) for clarity.
Show Table: display levels, zone boundaries and strength in the top-right table. 📋
🎯 Trade entry ideas (examples)
Not financial advice — examples of how traders commonly use S/R zones.
1) Bounce Long (support zone buy)
Condition: Price arrives at a support zone and shows a bullish confirmation candle (e.g., hammer, bullish engulfing).
Extra confirmation: oversold RSI or supportive volume.
Entry: on confirmed candle close (market or limit).
SL: slightly below the zone’s lower band.
TP: next resistance or target R:R ≥ 1:2. (Retest confirmations reduce false-breakout risk.)
fxopen.com
Investopedia
2) Breakout Long
Condition: Price breaks resistance with increased volume.
Tactic: wait for a retest of the broken resistance (now support). Enter on confirmation.
SL: below the retest low or zone lower band.
TP: next zone / predetermined R:R target. Breakouts need volume/retest confirmation to avoid fakeouts.
Investopedia
fxopen.com
3) Scalp
Use narrower zones, smaller TF, very tight SL and smaller R:R (e.g., 1:1), account for spreads/fees.
🛡️ Risk management
Don’t risk too much per trade — follow a fixed % (e.g., 1–2% max).
cmegroup.com
Plan SL & TP before entry; avoid emotional adjustments.
Investopedia
Calculate risk/reward; aim for a favorable R:R and backtest your rules.
CenterPoint Securities
✔️ Practical tips
Filter by strength to remove noisy levels.
Timeframe matters: higher TF = stronger levels.
Combine with other indicators (volume, RSI, MAs) for better confirmation.
Backtest the script and your entry rules before deploying live.
Quick summary: Dynamic S/R Zones Pro is a pivot-based S/R & zone mapper that highlights strong levels and helps you trade bounces, breakouts and retests — but always use SL/TP and solid risk management.
Investopedia
+2
Investopedia
+2
fxopen.com
Disclaimer: Not financial advice. Trading involves risk. 🔒
Mr.BourssioA professional indicator that combines multiple strategies into one tool ,
Mr.Bourssio indicator that will help you spot ideal entry and exit opportunities.
The best frame for the indicator is the 1 - Hour frame.
Prev Day Close LineA clean horizontal line at yesterday’s close on any intraday chart. Here’s a dead-simple Pine v5 script for TradingView.
Latent Regime Informed Monte Carlo ForecastThis script uses a Monte Carlo simulation to forecast where price might be a set number of bars into the future (default 6 bars ahead). It generates hundreds of possible future price paths based on an average move (drift) and random shocks (volatility). The result is a distribution of outcomes, displayed as probability zones: the median (most likely), inner bands (50% confidence), and wider bands (80% and 95% confidence). Due to the randomness assumption in Monte Carlo simulations, the paths are not very important so to minimize cluttering on the graphs we only plot bands. These zones help you visualize uncertainty, set stops and targets based on probabilities, and spot when market behavior changes.
The accuracy of any Monte Carlo forecast depends heavily on how well you estimate trend and volatility. By default and no prior information the Monte Carlo simulation gives you a parabolic forecast that assumes absolute randomness. This is where the Kalman filter comes in. The filter (derived from control theory) aims to detect latent (unobservable) traits about the system by continuously updating its transition probabilities to better understand how the latent traits affect the observable measurement (price). With each new observable state we get better and better transition probabilities and enhances our understanding about the latent and unobservable market characteristics like trend and volatility. Both crucial measurements for short term market sentiment.
Extracting these measurements for market sentiment informs us how to better parametrize the Monte Carlo simulation for a better forecast. Each bar, the KF updates its estimates based on how close its last prediction was to reality. In calm periods, it holds estimates steady; in volatile periods, it adapts quickly. This gives you real-time, low-lag measurements of both trend and volatility.
By feeding these adaptive estimates into the Monte Carlo simulation, the forecast becomes much more responsive to current market conditions. In trends, the predicted paths tilt toward the direction of movement; in choppy markets, they spread wider but stay centered; when volatility spikes, the probability zones expand immediately. The result is a dynamic forecast tool that adjusts on every bar, giving you a clearer, probability-based picture of where the market could go next.
This is my very first script and I would love feedback/ideas for different topics.
My background is in economics/mathematics and interests lie in time series analysis/exploring financial features for DS
Wick Range Boxes* Indicator intended to show key levels of price action
* Draws boxes representing the wicks of the most recent previous candle, of the daily, 4H, 1H, 15M, and 5M timeframes
* In settings, you can:
- select colors and thicknesses of borders and colors and opacities of fills
- decide which timeframes to display
* Displays the boxes for any symbol and shows the boxes for the the timeframes you select, regardless of which timeframe you are viewing
SM Trap Detector – Liquidity Sweeps & Institutional ReversalsOverview:
This script is designed to help traders detect Smart Money traps, liquidity grabs, and false breakouts with high precision.
Inspired by institutional trading logic (SMC, ICT, Wyckoff), this tool combines:
🟦 Liquidity Zone Mapping – Detects stop hunt targets near highs/lows
🚨 Trap Candle Detection – Identifies fakeouts using wick + volume logic
✅ Reversal Confirmation – Entry signals based on real market structure
🧭 Dashboard Panel – Always see the last trap type, price, and confirmation
🔔 Real-Time Alerts – Stay notified of traps and entry points
🧠 Logic Breakdown:
Trap Candle = Large wick, small body, volume spike, and sweep of a liquidity zone
Confirmed Entry = Reversal price action following the trap (engulfing-style)
📈 Best Used On:
Markets: Crypto, Forex, Stocks
Timeframes: No limitation but works best on 1H, 4H, Daily
🛠 Suggested Use:
Trade only confirmed entries for best results
Place stops beyond wick highs/lows
Target previous structure or use RR-based exits
📊 Backtest Tip:
Use alerts + replay mode to manually validate past traps.
Note: Please backtest before using it for entry.
Mouse Manipulation Multi Timeframe By using both timeframes + Indicator, you are essentially building a two-step verification system.
MacD Alerts MACD Triggers (MTF) — Buy/Sell Alerts
What it is
A clean, multi-timeframe MACD indicator that gives you separate, ready-to-use alerts for:
• MACD Buy – MACD line crosses above the Signal line
• MACD Sell – MACD line crosses below the Signal line
It keeps the familiar MACD lines + histogram, adds optional 4-color histogram logic, and marks crossovers with green/red dots. Works on any symbol and any timeframe.
How signals are generated
• MACD = EMA(fast) − EMA(slow)
• Signal = SMA(MACD, length)
• Buy when crossover(MACD, Signal)
• Sell when crossunder(MACD, Signal)
• You can compute MACD on the chart timeframe or lock it to another timeframe (e.g., 1h MACD on a 4h chart).
Key features
• MTF engine: choose Use Current Chart Resolution or a custom timeframe.
• Separate alert conditions: publish two alerts (“MACD Buy” and “MACD Sell”)—ideal for different notifications or webhooks.
• Visuals: MACD/Signal lines, optional 4-color histogram (trend & above/below zero), and crossover dots.
• Heikin Ashi friendly: runs on whatever candle type your chart uses. (Tip below if you want “regular” candles while viewing HA.)
Settings (Inputs)
• Use Current Chart Resolution (on/off)
• Custom Timeframe (when the above is off)
• Show MACD & Signal / Show Histogram / Show Dots
• Color MACD on Signal Cross
• Use 4-color Histogram
• Lengths: Fast EMA (12), Slow EMA (26), Signal SMA (9)
How to set alerts (2 minutes)
1. Add the script to your chart.
2. Click ⏰ Alerts → + Create Alert.
3. Condition: choose this indicator → MACD Buy.
4. Options: Once per bar close (recommended).
5. Set your notification method (popup/email/webhook) → Create.
6. Repeat for MACD Sell.
Webhook tip: send JSON like
{"symbol":"{{ticker}}","time":"{{timenow}}","signal":"BUY","price":"{{close}}"}
(and “SELL” for the sell alert).
Good to know
• Symbol-agnostic: use it on crypto, stocks, indices—no symbol is hard-coded.
• Timeframe behavior: alerts are evaluated on bar close of the MACD timeframe you pick. Using a higher TF on a lower-TF chart is supported.
• Heikin Ashi note: if your chart uses HA, the calculations use HA by default. To force “regular” candles while viewing HA, tweak the code to use ticker.heikinashi() only when you want it.
• No repainting on close: crossover signals are confirmed at bar close; choose Once per bar close to avoid intra-bar noise.
Disclaimer
This is a tool, not advice. Test across timeframes/markets and combine with risk management (position sizing, SL/TP). Past performance ≠ future results.
Key Session Levels (KUUUMZ)
📜 Summary
Tired of manually drawing the same key levels every single trading day? The KUUMZ-Key Session Levels indicator automates this entire process, plotting the most critical intraday and previous day levels directly on your chart. This tool provides a clean, dynamic framework of potential support and resistance zones, allowing you to focus on your trading strategy, not on chart setup.
Built for day traders and scalpers of US equities, this indicator helps you instantly visualize the market's structure from the moment the session begins.
🎯 Key Levels Plotted
This indicator automatically identifies and draws horizontal lines for the following session levels:
Previous Day High (PDH) & Low (PDL): The highest and lowest points of the prior trading day, which often act as major psychological support and resistance magnets.
Pre-Market High & Low (PMH/PML): The range established during the pre-market session (4:00 - 9:30 AM ET). A breakout from this range can often signal the initial directional bias.
5-Minute Opening Range High & Low (OR5): The high and low of the first 5 minutes of the regular session (9:30 - 9:35 AM ET). A crucial level for opening range breakout (ORB) strategies.
15-Minute Opening Range High & Low (OR15): The high and low of the first 15 minutes (9:30 - 9:45 AM ET), providing a slightly broader view of the initial balance area.
📈 How to Use This Indicator
These levels are fundamental to many intraday trading strategies:
Support & Resistance: Watch how price reacts as it approaches these levels. A bounce or rejection can signal a potential reversal, while a clean break can indicate continuation.
Breakout Trading: A strong, high-volume move through one of these levels (e.g., breaking above the Pre-Market High) can be an entry signal for a breakout trade.
Market Context: Quickly gauge market sentiment. Is the price trading above or below the previous day's range? Is it trapped within the opening range? These levels provide immediate context to the current price action.
Setting Targets & Stops: Use these levels to set logical profit targets or place stop-loss orders. For example, if you go long on a breakout of the 5-min OR, the Pre-Market High or Previous Day High could be your first target.
⚙️ Features & Customization
The script is designed to be flexible and clean, allowing you to tailor it to your specific charting style.
Toggle Any Level: Enable or disable any set of levels (Previous Day, Pre-Market, etc.) to reduce clutter.
Full Style Control: Customize the Color, Width, and Style (Solid, Dotted, Dashed) for each pair of high/low lines independently.
Optional Labels: A master switch allows you to show or hide all price labels (like "PDH", "PM Low", etc.) with a single click.
Automatic & Dynamic: Levels are calculated and drawn in real-time as each session concludes and are automatically cleared and reset for the next trading day.
Inverted Hammer w/ Buy Signal This indicator will identify inverted hammer candles in a downtrend and also provide a buy signal when the following candle closes above the top wick of the previous inverted hammer candle.
Position Sizing Risk TablePosition Sizing Risk Table - swing trading. Allowing for a 0,25; 0,5 and 1% risk based on NAV
Dynamic Fib Zones [By TraderMan]📊 Dynamic Fib Zones — Indicator Overview
This indicator automatically plots dynamic Fibonacci levels and zones on your chart based on recent price action, volume, and trend direction. It helps you identify key support and resistance areas where price may react strongly.
🔍 What Does It Do?
Draws Fibonacci retracement levels dynamically over a specified lookback period.
Highlights zones around these Fibonacci levels to give you a price “buffer area” instead of just a line.
Colors the zones green or red based on volume strength and trend direction to signal potential buying or selling pressure.
Uses EMA (Exponential Moving Average) to detect if the trend is up or down.
Shows labels with Fibonacci % levels and exact price for quick reference.
⚙️ How to Use It?
Set your inputs:
Fibonacci Period: How many bars back the Fibonacci levels are calculated.
EMA Period: For trend detection.
Volume Multiplier: How much volume should exceed average to consider the signal strong.
Level Tolerance and Zone Width: Adjust the sensitivity and size of the price zones.
Interpret zones:
Green zones with high volume and price near Fibonacci level in an uptrend = potential buying area.
Red zones with high volume and price near Fibonacci level in a downtrend = potential selling area.
Gray zones = neutral, no strong signal.
Make your trading decisions:
Consider entering long positions near green zones with confirmation from other indicators or price action.
Consider entering short positions near red zones similarly.
Use zone boundaries as dynamic support/resistance for stop loss or take profit placement.
🚀 Tips for Position Opening
Combine with other confirmation tools (candlestick patterns, RSI, MACD, etc.) to avoid false signals.
Watch volume spikes carefully; strong volume near a Fibonacci zone increases the reliability.
Use the EMA trend filter to avoid trading against the main trend.
🎯 Summary
Dynamic Fib Zones give you a powerful, visual edge by combining Fibonacci, volume, and trend signals — making your entries and exits smarter and more precise!
Happy Trading! 📈✨
SuperTrend (5,1,5) By satish SWhy 3 Supertrends?
Short-term Supertrend (7, 1, 3) → reacts quickly, catches early trend changes but can give more false signals.
Medium-term Supertrend (14, 1, 2) → smoother, filters out noise.
Long-term Supertrend (21, 1, 3) → confirms major trend direction, fewer whipsaws.
How it Works
Trend Reversal Detection
If all three flip in the same direction → strong confirmation of trend change.
If only the short-term flips but others don’t → possible false signal, wait for confirmation.
Entry Signal Example
Buy when all three turn green (Supertrend below price).
Sell/short when all three turn red (Supertrend above price).
Exit / Partial Profit
Exit when the shortest one (7, 1, 3) flips against your position — protects profits in choppy markets.
TradingView Setup
You can do this by:
Adding Supertrend three times.
Setting their (Period, Multiplier, ATR Type) to:
ST1: 7, 1, 3
ST2: 14, 1, 2
ST3: 21, 1, 3
Use different colors or line styles for each so you can spot alignment quickly.
SmartFib Pro [By TraderMan]📊 SmartFib Pro — Smart Fibonacci Support & Resistance + TP/SL + Live Position Tracking
🚀 With SmartFib Pro , automatically track Fibonacci support and resistance levels on your chart!
This indicator dynamically shows long/short entry points, TP (Take Profit), and SL (Stop Loss) levels based on price movements, with easy-to-read lines. You can also monitor your position status live via a table at the top-right of your screen.
⚙️ How It Works?
📈 When price breaks key Fibonacci levels (especially 78.6% and 23.6%), the indicator automatically generates long or short signals.
Entry lines are drawn in blue, TP lines in green, and SL lines in red.
Entry, TP, and SL levels are displayed as labels next to the lines.
Active position lines and labels remain on the chart while the position is open, and past position lines are cleared automatically.
When TP or SL is hit, the indicator instantly notifies on the chart and in the table with “TP SUCCESSFUL” or “STOP HIT.”
🛠️ How to Use?
Add the indicator to your chart.
Adjust Fibonacci high and low lengths (default 50 bars) and line length (default 50 bars) from the inputs.
Long signals are generated when price breaks above the 78.6% level; short signals occur when price breaks below the 23.6% level.
TP is automatically set 3.5% away from the entry line, SL is set 1.5% away.
Follow the blue (entry), green (TP), and red (SL) lines and their labels on the chart.
Monitor your position info live in the top-right table.
When TP or SL triggers, position closes, and lines/labels are cleared for the next signal.
💡 Why SmartFib Pro?
✅ Automated position entry and exit strategy based on Fibonacci levels
✅ Live position tracking and status updates to help your trading decisions
✅ Clear, colorful, and minimalistic chart visuals eliminate clutter
✅ Ideal for both beginners and pros, providing fast and reliable signals
📣 Important Notes:
This indicator generates signals but always use proper risk management according to market conditions!
You can adjust TP/SL percentages to fit your own risk tolerance.
Always support signals with your own analysis.
💬 Catch the trend, manage your risk, and grow your profits with SmartFib Pro!
📈🔵🟢🔴
SuperTrend (5,1,5) BY Satish SWhy 3 Supertrends?
Short-term Supertrend (7, 1, 3) → reacts quickly, catches early trend changes but can give more false signals.
Medium-term Supertrend (14, 1, 2) → smoother, filters out noise.
Long-term Supertrend (21, 1, 3) → confirms major trend direction, fewer whipsaws.
How it Works
Trend Reversal Detection
If all three flip in the same direction → strong confirmation of trend change.
If only the short-term flips but others don’t → possible false signal, wait for confirmation.
Entry Signal Example
Buy when all three turn green (Supertrend below price).
Sell/short when all three turn red (Supertrend above price).
Exit / Partial Profit
Exit when the shortest one (7, 1, 3) flips against your position — protects profits in choppy markets.
TradingView Setup
You can do this by:
Adding Supertrend three times.
Setting their (Period, Multiplier, ATR Type) to:
ST1: 7, 1, 3
ST2: 14, 1, 2
ST3: 21, 1, 3
Use different colors or line styles for each so you can spot alignment quickly.
Supertrend Dual Timeframe Signals (QuantZee)This indicator generates precise Buy & Sell signals by combining the Supertrend trend direction from two selectable timeframes — a higher timeframe for primary trend bias and a lower timeframe for confirmation.
A trade signal is triggered only when both timeframes align in the same direction:
BUY Signal → Both higher and lower timeframe Supertrends are bullish.
SELL Signal → Both higher and lower timeframe Supertrends are bearish.
In addition, the script plots the Stop-Loss (SL) line from the higher timeframe Supertrend, helping traders manage risk effectively.
The SL line automatically changes color:
Green in bullish trend
Red in bearish trend
Key Features:
Custom Timeframe Selection: Choose any combination of higher & lower timeframes from the Inputs menu.
No Repainting: Signals are confirmed only after the higher timeframe bar closes.
Visual SL Reference: Higher timeframe Supertrend line for clear stop-loss guidance.
Clean Chart: Only key buy/sell labels and SL line are displayed — no clutter.
Alerts Ready: Set alerts for Buy/Sell signals directly from the TradingView alerts menu.
Usage Tips:
Recommended to keep chart on a lower timeframe (e.g., 15m, 30m, 1H) for better entry precision while higher TF confirms the trend.
Adjust ATR period and multiplier in settings to fit your instrument’s volatility.
Works on all assets — stocks, forex, crypto, indices, and commodities.
Website: quantzee.com
Subscribe: quantzee.com/contact/
SuperTrend with 3 Inputs SatishWhy 3 Supertrends?
Short-term Supertrend (7, 1, 3) → reacts quickly, catches early trend changes but can give more false signals.
Medium-term Supertrend (14, 1, 2) → smoother, filters out noise.
Long-term Supertrend (21, 1, 3) → confirms major trend direction, fewer whipsaws.
How it Works
Trend Reversal Detection
If all three flip in the same direction → strong confirmation of trend change.
If only the short-term flips but others don’t → possible false signal, wait for confirmation.
Entry Signal Example
Buy when all three turn green (Supertrend below price).
Sell/short when all three turn red (Supertrend above price).
Exit / Partial Profit
Exit when the shortest one (7, 1, 3) flips against your position — protects profits in choppy markets.
TradingView Setup
You can do this by:
Adding Supertrend three times.
Setting their (Period, Multiplier, ATR Type) to:
ST1: 7, 1, 3
ST2: 14, 1, 2
ST3: 21, 1, 3
Use different colors or line styles for each so you can spot alignment quickly.
Swing Anchored Vwap [BigBeluga]🔵 OVERVIEW
Swing Anchored Vwap tracks the market’s directional behavior by anchoring VWAPs (Volume Weighted Average Price) to dynamically detected swing highs and lows. It visually distinguishes the active swing VWAP from historical ones—offering traders a clean view of trend-aligned value zones with clearly marked inflection points.
🔵 CONCEPTS
Swing Anchored VWAPs: VWAPs are initiated from recent swing highs during downtrends and swing lows during uptrends.
Trend Detection: The indicator identifies trend shifts based on the breaking of recent highest or lowest price value.
Trend-Based Coloring:
• Green VWAPs: are drawn from swing lows in uptrends.
• Blue VWAPs: are drawn from swing highs in downtrends.
Sensitivity Control: The Length input defines how far back the script looks to determine swing points—shorter lengths make it more reactive.
🔵 FEATURES
Real-time VWAP projection from the current swing point, updated live.
Historical VWAP traces with slightly faded color to emphasize the current active one.
Swing markers automatically placed on highs/lows where VWAPs are anchored.
Label with price value at the end of each active VWAP line for clarity.
Adaptive color scheme that visually separates uptrend/downtrend zones.
🔵 HOW TO USE
Use active VWAP as a dynamic support/resistance guide during ongoing trends.
Observe breaks or rejections around these VWAPs for trend continuation or reversal clues .
Compare current price position relative to swing VWAPs to assess trend maturity and extension .
Combine with volume analysis or structure to increase conviction at swing points.
🔵 CONCLUSION
Swing Anchored Vwap merges the logic of anchored VWAPs and swing structure into a responsive visual tool. It helps traders stay aligned with the current trend while offering historical context via previous value anchors—ideal for intraday to swing-level analysis.
SITR Pivots SNR SITR – Pivot Points High Low
SITR identifies swing highs and lows using customizable left/right bar lengths. It places clean, transparent labels on the chart to highlight potential reversal zones and key price levels. Ideal for spotting trend shifts, support/resistance, and breakout setups.
RATIO TPI SOLETH | JeffreyTimmermansSOLETH Ratio Trend Probability Indicator
Medium-Term Trend Assessment | Dominant Major Detector: The SOLETH Ratio TPI is a medium-term trend-following tool designed to measure the performance relationship between Solana and Ethereum — two of the leading smart contract platforms in the crypto market. By tracking the SOLETH ratio, this indicator determines which of the two is acting as the dominant major in the current market environment.
Rather than focusing on absolute price movements, the SOLETH Ratio TPI isolates relative strength. An upward-trending ratio means Solana is outperforming Ethereum, while a downward trend means Ethereum is taking the lead.
Key Features
Dominant Major Identification:
The indicator’s primary function is to determine leadership between Solana and Ethereum:
SOL Dominant: SOLETH ratio trending up
ETH Dominant: SOLETH ratio trending down
Neutral: No clear leader
8 Trend-Following Inputs:
Integrates 8 carefully selected medium-term trend-following signals into a composite score for clarity and accuracy in dominance detection.
Score-Based Regime Classification:
Score > 0.1 → SOL in relative uptrend → Dominant Major: SOL
Score < -0.1 → ETH in relative uptrend → Dominant Major: ETH
Between -0.1 and 0.1 → Neutral → No clear dominance
Dynamic Visual Interface:
Background colors change according to the dominant asset.
Bottom dashboard displays the status of all inputs, the composite score, and the determined dominance label.
Use Cases:
Smart Contract Sector Rotation: Identify leadership shifts between Solana and Ethereum to guide allocation within the L1 ecosystem.
Sector Sentiment Insight: Dominance changes often precede broader capital flows into or out of each ecosystem.
Multi-Timeframe Confirmation: Combine with broader market LTPI and MTPI tools to reinforce conviction in rotation-based strategies.
Conclusion
The SOLETH Ratio TPI condenses the competition between two of crypto’s top smart contract platforms into one clear, actionable view. By aggregating 8 powerful medium-term trend-following inputs, it delivers a precise assessment of which chain currently leads the market.
RATIO TPI SOLBTC | JeffreyTimmermansSOLBTC Ratio Trend Probability Indicator
Medium-Term Trend Assessment | Dominant Major Detector: The SOLBTC Ratio TPI is a medium-term trend-following indicator designed to measure the relative strength between Solana and Bitcoin — two of the most influential assets in the crypto market. By analyzing the SOLBTC ratio, this tool identifies which of the two is currently the dominant major in the market cycle.
Unlike standard price-based analysis, this indicator focuses on relative dominance. When Solana outperforms Bitcoin, the ratio trends upward, signaling SOL dominance. When Bitcoin outperforms Solana, the ratio trends downward, signaling BTC dominance.
Key Features
Dominant Major Identification:
The primary goal of this TPI is to determine whether Solana or Bitcoin is leading the market:
SOL Dominant: SOLBTC is trending up
BTC Dominant: SOLBTC is trending down
Neutral: No clear leader in the current cycle
8 Trend-Following Inputs:
Combines 8 carefully selected medium-term trend-following indicators into a single composite score for clear and actionable dominance detection.
Score-Based Regime Classification:
Score > 0.1 → SOL in relative uptrend → Dominant Major: SOL
Score < -0.1 → BTC in relative uptrend → Dominant Major: BTC
Between -0.1 and 0.1 → Neutral → No clear dominance
Dynamic Visuals:
Background colors shift to match the dominant asset
Bottom dashboard displays the state of each input, the composite score, and the resulting dominance label
Use Cases:
Rotation Strategies: Identify when capital is rotating between Solana and Bitcoin to optimize positioning.
Market Leadership Signals: Use dominance changes as a leading indicator for broader altcoin cycles and sentiment shifts.
Multi-Timeframe Confirmation: Pair with LTPI and STPI for higher conviction in directional bias.
Conclusion
The SOLBTC Ratio TPI distills the relationship between Solana and Bitcoin into one simple question: Who is leading right now? By combining 8 powerful trend-following inputs into a clear dominance score, it provides traders and investors with a precise, medium-term view of market leadership.
