Trinity KST (known sure thing) ProThis version is the **modern, low-lag evolution** of Martin Pring’s original 1990s KST.
Key differences from the classic KST
- Original uses only simple moving averages (SMA) on the four ROCs → quite a bit of lag.
- This version lets you replace every SMA with **ALMA, HEMA, TEMA, or EMA** → dramatically reduces lag while keeping the signal smooth and reliable.
- ALMA + progressive offset (0.90–0.97) is especially powerful because longer-term ROCs react almost as fast as the short ones without getting noisy.
- Histogram, clean labels inside the oscillator pane, alerts, background tint — all the quality-of-life stuff the original never had.
How traders actually use it in >2026
1. Primary signal: KST crosses above/below the red signal line = momentum shift (bullish/bearish).
2. Zero-line cross = confirmation of trend change (especially strong on daily/weekly).
3. Divergences between price and KST = high-probability reversals (works great on BTC, SPX, NAS100).
4. Histogram turning from red to green (or vice-versa) = early warning before the actual line cross.
Best settings I and many others run live right now (no table, just the winners)
- Crypto & Nasdaq: **ALMA + aggressiveness 0.93–0.96** → fastest valid signals.
- Forex pairs & Gold: **HEMA** (zero-lag Hull) → super clean, almost no whipsaw.
- Broad stock indices (SPX, DAX, etc.): **ALMA 0.91–0.93** or **TEMA** → perfect middle ground.
- Classic conservative daily/weekly swings: leave it on **SMA** (original Pring) or ALMA 0.88–0.90.
In short: same reliable KST logic you already know, but now it reacts 6–12 bars earlier and with far fewer fakeouts — exactly what you need in today’s fast markets.
Indicadores y estrategias
Price vs 200 EMA / 50 EMA / VWAP TablePrice vs 200 EMA / 50 EMA / VWAP Table
This indicator displays a compact real-time table showing where current price is trading relative to three major dynamic levels: 200 EMA, 50 EMA, and VWAP.
It provides an instant read on trend strength, bias, and distance from key moving levels — all in one glance.
Color-coded signals:
Lime → Price above
Red → Price below
Gray → Price at / near
Features
Adjustable table position (4 corners)
Adjustable text size
Toggle % distance and points distance
Clean, lightweight, and non-intrusive
Works on all timeframes and assets
13 / 26 / 52 SMA Overlay13 / 26 / 52 SMA Overlay showing how short term is performing relative to long term.
stochastic supper trendstocastic supper trend channel based on sk trading system with dynamic od os lines changing color
Daily Separator_Yoot HobbizSimply helps you separate each trading day — a clean, visual indicator that marks daily sessions so you can read price action faster and stay focused on what really matters.
A simple indicator that clearly separates each trading day, making your charts easier to read and your decisions easier to take.
Optimized EMA Ribbon Strategy v6 Based on EMA rotations, ADX we create a system of entering trades. Watch out for the sell and buy signals.
Sequential MACD 0.5+ & MA Cloud StrategyThis indicator provides sequential buy and sell signals based on a robust set of trend-following and momentum conditions:
Buy Signal Logic:
Momentum: Both the MACD line and the Signal line are above the 0.5 threshold, indicating strong bullish momentum.
Crossover: A bullish MACD crossover (MACD above Signal line) has occurred near the zero line, suggesting the start of a new, healthy momentum wave.
Trend Filter (4H TF): The current price must be above the 21 and 50 EMAs on the 4-hour timeframe.
Price Action: The current candle must be green (closing higher than open).
Sequential Logic: A buy signal is only generated if a position is not already active.
Sell Signal Logic:
Momentum Reversal: MACD line is below the Signal line (negative histogram).
Price Action: The current candle must be red.
MA Cloud: The price is below the 9 and 21 EMA Cloud.
Sequential Logic: A sell signal is only generated if a buy signal was previously active.
This comprehensive filter system aims to capture strong, confirmed moves while avoiding noisy signals against higher-timeframe trends.
OBO-TOBO Head & Shoulders (H&S) Pattern HunterOBO-TOBO Head & Shoulders (H&S) Pattern Hunter
This indicator automatically detects Head and Shoulders (Bearish) and Inverse Head and Shoulders (Bullish) patterns using a smart ZigZag algorithm. Unlike standard indicators, it does not just mark the pivots; it draws the complete geometric "M" or "W" shape, including all legs from start to finish.
Key Features:
Full Geometry: Draws the complete pattern shape with proper legs, ensuring distinct visibility.
Smart Cleaning (Garbage Collector): Automatically deletes old or invalid patterns when a new one forms. Keeps your chart clean and prevents visual clutter.
Neckline Projection: Automatically draws the neckline projection to identify potential breakout levels.
Symmetry Check: Filters out invalid structures and only detects proportional patterns.
How to Use: You can adjust the "Sensitivity" (Length) setting in the menu to detect smaller or larger patterns according to your trading style.
Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about.
This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes.
How do the available alternatives differ (while some’re just worse)?
Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity.
The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median.
Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it.
Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime.
How to set it up:
Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256.
However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16.
Additionally if you wanna use all data to estimate SNR, put 0 into length input.
How to use for regime detection:
First we define:
MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better
Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better.
The study plots 3 horizontal thresholds for VSNR, just check its location:
Above upper level: significant Momo bias
Above 1 : Momo bias
Below 1 : MR bias
Below lower level: significant MR bias
Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime:
^^ CBOT:ZN1!
^^ INDEX:BTCUSD
How to use as automatic volatility threshold scaler
Copy the code from the script, and use VSNR as a multiplier for your volatility threshold.
E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive.
^^ The same logic as when MM bots widen spreads with vola goes wild.
How it works:
Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential.
Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold.
We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma.
Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns.
…
Lightweight huh?
∞
Universal Pivot ScannerUniversal Pivot Scanner
Professional pivot pattern detection for any market data source.
A robust pivot detector designed to work across all timeframes and data types - price action, technical indicators, volume, or custom studies. One tool, multiple applications.
Core Functionality
Identifies two high-probability retracement patterns:
HH+HL → Bullish continuation setup (higher high followed by higher low)
LL+LH → Bearish continuation setup (lower low followed by lower high)
Key Features
Non-repainting detection. Labels and alerts trigger at pivot confirmation, ensuring real-time actionable signals without historical bias.
Source flexibility. Compatible with any input - price data, oscillators (RSI, MACD), volume analysis, or proprietary indicators. Single implementation across multiple strategies.
Adaptive configuration. Adjustable lookback period optimizes performance for different market conditions and data types.
Recommended Settings
Lookback: 1 → Oscillators and momentum indicators
Lookback: 3-10 → Price action and ranging markets
Includes visualization table displaying recent pivot sequence and active pattern status.
Designed for systematic traders requiring consistent, verifiable signals across diverse market conditions.
SPY Sniper Levels [Day Trader]Here is a professional, concise description you can copy and paste directly into the TradingView publication description box. I’ve written it to appeal to other serious price action traders.
***
**Title:** SPY Sniper Levels
**Description:**
Designed for high-speed day trading on **SPY** and major indices. This lightweight script eliminates the need for manual morning prep by automatically plotting the four critical liquidity zones that institutional algorithms target every session.
**Features:**
* **PDH / PDL (Solid Lines):** Previous Day High & Low. These are the major "walls" for the session.
* **PMH / PML (Dotted Circles):** Pre-Market High & Low. These levels automatically track during the pre-market session (04:00–09:30 EST) and **lock** the moment the market opens. This creates a static reference for Opening Range Breakouts (ORB).
**How to Trade This Setup:**
1. **The Breakout:** Look for high-volume candles closing outside the PMH/PML in the first 30 minutes.
2. **The Fade:** Watch for "traps" (long wicks) at the PDH/PDL to fade the price back toward VWAP.
3. **The Trend:** If price holds above the PDH, look for a trend day. If it fails to break the PML, look for a chop day.
**Best Settings:**
* Optimized for **1m, 2m, and 5m** timeframes.
* Works best on Dark Mode charts.
***
googleusercontent.com
EMA 50 y EMA 200 (simple)Madia de 50 y 200.
Ya creé un indicador simple y limpio que muchos estaban buscando: una herramienta que muestre únicamente la EMA 50 y la EMA 200, sin ruidos visuales ni configuraciones complicadas.
Perfecto para quienes quieren seguir la tendencia principal, detectar cambios de dirección mediante cruces de medias, o simplemente tener una referencia clara del comportamiento del precio.
I’ve created a clean and simple indicator that many traders have been looking for: a tool that shows only the EMA 50 and the EMA 200, with no visual clutter or unnecessary features.
Perfect for identifying the overall trend, spotting potential trend reversals through EMA crossovers, or simply keeping a clear reference of price direction.
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100.
This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements
Value Interpretation:
0-25: Weak trend or sideways market
25-50: Moderate to strong trend
50-75: Very strong trend
75-100: Extremely strong trend (rare)
Important: ADX does not indicate trend direction (up/down), only its strength!
This script indicator includes additional features:
1. ADX Plot (purple line)
Basic ADX value showing current trend strength.
2. ADX Trend Analysis (arrows)
The script compares current ADX with its 10-period moving average with ±5% tolerance:
↑ (green): ADX rising → trend strengthening
↓ (red): ADX falling → trend weakening
⮆ (gray): ADX stable → trend strength unchanged
3. Information Table
Displays current ADX value with trend arrow in the top-right corner.
Parameters to Configure
Smoothing (default: 14) - Indicator smoothing period
Lower values (e.g., 7): more sensitive, more signals
Higher values (e.g., 21): more stable, less noise
Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI)
Wilder's standard value is 14
Trend Length (default: 10) - Period for moving average to analyze ADX dynamics
Determines how quickly changes in trend strength are detected
Practical Application
✅ Strategy 1: Trend Strength Filter
1. ADX > 25 → look for positions aligned with the trend
2. ADX < 25 → avoid trend strategies, consider oscillators
✅ Strategy 2: Entries on Strengthening Trend
1. ADX crosses above 25 + arrow ↑ → trend gaining momentum
2. Combine with other indicators (e.g., EMA) for direction confirmation
✅ Strategy 3: Exhaustion Warning
1. ADX > 50 + arrow ↓ → strong trend may be exhausting
2. Consider profit protection or trailing stop
Ultra Hassas SuperTrend v6 – HEIKEN + 2x + ALARMUltra hassas trend takibi ile dip ve tepelerden gelen sinyallerle hitli bir sekilde kar edilebilir.
Z-Score Regime DetectorThe Z-Score Regime Detector is a statistical market regime indicator that helps identify bullish and bearish market conditions based on normalized momentum of three core metrics:
- Price (Close)
- Volume
- Market Capitalization (via CRYPTOCAP:TOTAL)
Each metric is standardized using the Z-score over a user-defined period, allowing comparison of relative extremes across time. This removes raw value biases and reveals underlying momentum structure.
📊 How it Works
- Z-Score: Measures how far a current value deviates from its average in terms of standard deviations.
- A Bullish Regime is identified when both price and market cap Z-scores are above the volume Z-score.
- A Bearish Regime occurs when price and market cap Z-scores fall below volume Z-score.
Bias Signal:
- Bullish Bias = Price Z-score > Market Cap Z-score
- Bearish Bias = Market Cap Z-score > Price Z-score
This provides a statistically consistent framework to assess whether the market is flowing with strength or stress.
✅ Why This Might Be Effective
- Normalizing the data via Z-scores allows comparison of diverse metrics on a common scale.
- Using market cap offers broader insight than price alone, especially for crypto.
- Volume as a reference threshold helps identify accumulation/distribution regimes.
- Simple regime logic makes it suitable for trend confirmation, filtering, or position biasing in systems.
⚠️ Disclaimer
This script is for educational purposes only and should not be considered financial advice. Always perform your own research and risk management. Past performance is not indicative of future results. Use at your own discretion.
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research
Overview
Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering.
The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments.
Entry Signals:
Long Entry: Price crosses above the Supertrend line (trend flips bullish)
Short Entry: Price crosses below the Supertrend line (trend flips bearish)
Controls the lookback period for volatility calculation
Lower values (7-10): More sensitive to price changes, generates more signals
Higher values (12-14): Smoother response, fewer signals but potentially delayed entries
Recommended range: 7-14 depending on market volatility
Factor (Default: 3.0)
Restricts trading to specific hours
Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods
When disabled, strategy trades 24/7
Start Hour (Default: 9) & Start Minute (Default: 30)
Define when the trading session begins
Uses exchange timezone in 24-hour format
Example: 9:30 = 9:30 AM
End Hour (Default: 16) & End Minute (Default: 0)
Controls the vibrancy of the fluorescent color system
1-3: Subtle, muted colors
4-6: Balanced, moderate saturation
7-10: Bright, highly saturated fluorescent appearance
Affects both the Supertrend line and trend zones
Glow Effect (Default: On)
Adds luminous halo around the Supertrend line
Creates a multi-layered visual with depth
Particularly effective during strong trends
Glow Intensity (Default: 5.0)
Displays tiny fluorescent dots at entry points
Green dot below bar: Long entry
Red dot above bar: Short entry
Provides clear visual confirmation of executed trades
Show Trend Zone (Default: On)
Strong trending markets (2020-style bull runs, sustained bear markets)
Markets with clear directional bias
Instruments with consistent volatility patterns
Timeframes: 15m to Daily (optimal on 1H-4H)
Challenging Conditions:
Choppy, range-bound markets
Low volatility consolidation periods
Highly news-driven instruments with frequent gaps
Very low timeframes (1m-5m) prone to noise
Recommended AssetsCryptocurrency:
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price.
Main Features
1. ATR% Chart
The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example:
ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value
Higher values = greater volatility (higher profit potential, but also greater risk)
Lower values = lower volatility (calmer market)
2. Volatility Trend Analysis
The indicator automatically detects whether volatility is rising, falling, or stable:
Up arrow (↑) - volatility is rising (price becomes more "nervous")
Down arrow (↓) - volatility is falling (market is calming down)
Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average)
3. Information Table
In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding:
- Green = rising volatility
- Red = falling volatility
- Gray = stable volatility
Parameters to Configure
Indicator Length (default: 14) - How many candles back to include in calculations:
Lower values (5-10): more sensitive to sudden changes, reacts faster
Higher values (20-30): more smoothed, shows long-term volatility picture
Trend Length (default: 10) - Period to analyze whether volatility is rising/falling:
Lower values: faster trend change signals
Higher values: more reliable, but slower signals
Sample Interpretations
ATR% Volatility Asset Type/Situation
< 1% Very low Stable blue-chip stocks, calm market
1-3% Low-medium Typical stocks, normal conditions
3-5% Medium-high Volatile stocks, cryptocurrencies at rest
5-10% High Cryptocurrencies, penny stocks
> 10% Extremely high Market panic, crash, pump & dump
Volume Weighted Average Price AdvancedVWAP (Advanced) with Multi‑Venue Aggregation and Historical Value Areas
Core: Anchored VWAP with configurable anchor (session/week/month/quarter/year/decade/century or corporate events), offset, and up to three standard-deviation bands.
Multi‑Venue Aggregation: Optionally pull price/volume from up to 5 additional exchanges/symbols (pair-matched by default). VWAP/σ are computed on the aggregated price*volume.
Value Area Blocks: Each completed anchor draws a block from the chosen basis (±1σ or ±2σ) or an optional percentile-based range (default 20–80%). Blocks project to the exact next anchor boundary, or you can extend them to the latest bar. Prior-period VWAP lines are shown inside the blocks.
Volume Gate: Optionally skip drawing prior blocks when the anchor’s aggregated volume is below a median/mean baseline times a multiplier.
HTF Context: Optional higher-timeframe VWAP overlay; can filter the current VWAP/bands so they only show when aligned with the HTF VWAP.
Venue Health: Label shows how many extra venues were included (non‑na) and median venue volume; flags divergence when primary volume is below venue median × threshold.
Alerts: Price in current value area (VWAP ±1σ) and price crossing the most recent prior VWAP.
Styling: Bands and fills are minimal; HTF VWAP is a distinct line; value-area blocks are shaded with prior VWAP lines inside.
Configure via the grouped inputs: VWAP Settings, Additional Exchange Sources, Historical Value Areas, HTF Context, and Bands Settings.
Advanced Price Ranges — Izaak ButlerThis indicator automatically draws equally-spaced price ranges (based on a user-defined size) above and below the current price. Each range displays its High, Low, 50% midpoint, and 25/75% quarter levels. All lines now extend both forward and backward in time, covering the entire chart. Labels are added on the right edge for easy reference, and optional alerts trigger when price crosses key levels. This tool helps visualize structured price zones and ICT-style range behaviour across all market conditions.
S&P 500 Sector Breadth — Fixed v6This indicator measures market breadth by tracking how many of the 11 S&P 500 sector ETFs are trading above their 200-day moving average. Here's how to use it:
What It Shows
The indicator plots a line that ranges from 0 to 11, representing the number of sectors in uptrends:
9-11 sectors above MA = Very strong market (green background)
8+ sectors = Strong bullish breadth - most sectors participating
6 sectors = Neutral - market is mixed
4 sectors = Weak market conditions
0-3 sectors = Very weak market (red background)
How to Interpret
Strong Market (8+ sectors):
Broad participation across sectors
Healthy bull market conditions
Lower risk environment
Good time for long positions
Weak Market (≤3 sectors):
Poor market internals
Most sectors in downtrends
Higher risk environment
Consider defensive positioning or cash
Divergences Matter:
If the S&P 500 makes new highs but breadth is declining (fewer sectors above MA), that's a bearish divergence warning
If the S&P 500 is weak but breadth is improving, that can signal a potential bottom
Settings You Can Adjust
Moving Average Length (default 200): Change to 50 or 100 for different trend definitions
Smooth Breadth Line (default 5): Smooths the indicator to reduce noise; set to 0 for raw data
Show Breadth Label: Toggle the current breadth reading on the chart
Alerts
The indicator includes built-in alerts:
When breadth crosses above 8 (strong participation)
When breadth crosses below 4 (deteriorating conditions)
This is a great confirmation tool to use alongside price action and other indicators!
ATH/ATL/DaysThis indicator displays the All-Time High (ATH) and All-Time Low (ATL) — or more precisely, the highest and lowest price within the last N days. It works on any timeframe and uses only local chart data (no security() calls), ensuring stable and accurate results.
It plots horizontal lines for both the ATH and ATL and includes a clean, compact table showing:
Date of the extreme
Days since it occurred
Price
% distance from current price
$ distance from current price
A reliable tool for identifying local extremes, spotting market structure shifts, and tracking short-term price ranges.
Sourav ORB-RSI-MA IndicatorEMA 200, Always Buy if graph is on above side.
RSI-EMA should crossover from bottom to top sharpy.
If both go on EMA 200 and ESI EMA LINE, avoid Trading.
RSI should be more than 30 or 35 to take BUY entry.
V.V for SELL side.






















