StratNinjaTable - VerticalA Pine Script v6 indicator that displays a vertical table with key The Strat data and supporting metrics.
✦ Table Structure:
Overview:
Ticker – the stock symbol.
TF – the chart’s main timeframe.
MFI – Money Flow Index with selectable timeframe.
ATR – Average True Range with color coding:
Green – below 3%.
Yellow – between 3% and 6%.
Red – above 6%.
Timeframes:
Displayed vertically (5m, 15m, 1H, D, W, M, etc.).
Each shows the current bar type according to The Strat (1, 2U, 2D, 3).
Text color reflects candle direction (green = close above open, red = close below open).
Includes a countdown timer to bar close.
Fundamentals:
Market Cap – in billions.
Sector – stock sector.
SMA20 Δ – distance from the 20-period SMA (in %).
Avg Volume (30d) – average 30-day volume (in millions).
✦ Adjustments Made:
Removed the Strat Pattern section completely.
Removed the DIR column – direction is now represented by Strat cell text color.
Reordered Overview section: Ticker → TF → MFI → ATR.
ATR now has three levels of coloring (Green/Yellow/Red) for >3% and >6%
Candlestick analysis
卡蛋K线反转Currently, only entry signals and reversal signals are available.
Continuous updates are planned, with subsequent plans to add alarm and reversal alerts.
Pattern Match & Forward Projection – Weekly (EN)
Overview
This indicator searches for recurring price patterns in weekly data and projects their average forward performance.
The logic is based on historical pattern repetition: it scans past price sequences similar to the most recent one, then aggregates their forward returns to estimate potential outcomes.
⚠️ Important: The indicator is designed for weekly timeframe only. Using it on daily or intraday charts will trigger an error message.
Settings (Inputs)
Pattern Settings
Pattern length (weeks): Number of weeks used to define the reference pattern.
Forward length (weeks): Number of weeks into the future to evaluate after each pattern match.
Lookback (weeks): Historical window to scan for past pattern matches.
Normalize by shape (z-score): If enabled, patterns are normalized by z-score, focusing on shape similarity rather than absolute values.
Distance threshold (Euclidean): Maximum allowed Euclidean distance between the reference pattern and historical candidates. Smaller values = stricter matching.
Min. required matches: Minimum number of valid matches needed for analysis.
Quality Filters
Min required Hit%: Minimum percentage of positive outcomes (upside forward returns) required for the pattern to be considered valid.
Return filter mode:
Either: absolute average return ≥ threshold
Long only: average return ≥ threshold
Short only: average return ≤ -threshold
Min avg return (%): Minimum average forward return threshold for validation.
Visual Options
Highlight historical matches (labels): Marks where in history similar patterns occurred.
Max match labels to draw: Caps the number of match markers shown to avoid clutter.
Draw average projection: Displays the average projected forward curve if conditions are met.
Show summary panel: Enables/disables the information panel.
Show weekly avg curve in panel: Adds a breakdown of average returns week by week.
Projection color: Choose the color of the projected forward curve.
What the Screen Shows
Summary Panel (top-left by default)
Total matches found in history
Matches with valid forward data
Average, minimum, and maximum distance (similarity measure)
Average forward return and Hit%
Distance threshold and normalization setting
Weekly average forward curve (if enabled)
Quality filter results (pass/fail)
Projection Curve (dotted line on price chart)
Drawn only if enough valid matches are found and filters are satisfied
Represents the average forward performance of historical matches, anchored at the current bar
Historical Match Labels (▲ markers)
Small arrows below past bars where similar patterns occurred
Tooltip: “Historical match”
Forecast Logic
The indicator does not predict the future in a deterministic way.
Instead, it relies on a pattern-matching algorithm:
The most recent N weeks (defined by Pattern length) are taken as the reference.
The algorithm scans the last Lookback (weeks) for segments with similar shape and magnitude.
Similarity is measured using Euclidean distance (optionally z-score normalized).
For each valid match, the subsequent Forward length weeks are collected.
These forward paths are averaged to generate a composite forward projection.
The summary panel reports whether the current setup passes the quality filters (Hit% and minimum average return).
Usage Notes
Best used as a contextual tool, not a standalone trading system.
Works only on weekly timeframe.
Quality filters help distinguish between noisy and statistically meaningful patterns.
A higher number of matches usually improves reliability, but very strict thresholds may reduce sample size.
📊 This tool is useful for traders who want to evaluate how similar historical setups have behaved and to visualize potential forward paths in a statistically aggregated way.
OHLC RTH & Globex SessionsHoD (High of Day)
OoD (Open of Day)
LoD (Low of Day)
CoD (Close of Day)
HoG (High of Globex)
LoG (Low of Globex)
HoY (High of Yesterday)
OoY (Open of Yesterday)
LoY (Low of Yesterday)
CoY (Close of Yesterday)
30-10-3 MAX,min dynamicsSupported timeframes: The script works only on timeframes of 1 minute or lower (including second-based timeframes).
Displayed levels: The highs and lows of the last closed candle are plotted for the 30-minute, 10-minute, and 3-minute timeframes.
Updates: The levels update only when a candle closes in the respective timeframe (e.g., every 30 minutes for the 30m levels).
Visualization: Dashed lines for highs and lows (blue for 30m, green for 10m, red for 3m).
Labels indicating "Max 30m", "Min 30m", etc., positioned above the highs and below the lows.
Period Separator - MTF with Price LevelsPeriod Separator - MTF with Price Levels
A customizable multi-timeframe period separator indicator that displays a user-defined number of vertical lines with corresponding horizontal price levels.
Key Features:
Multi-Timeframe Support: Works with all timeframes from 1-minute to yearly (12M, 3M, M, W, D, 4H, 1H, 15m, 5m, 1m)
Complete Price Level Analysis: Shows horizontal lines for High, Low, 0.75, 0.50, 0.25, and Open levels for all visible periods between vertical separators
Seconds Chart Compatibility: Special 1-minute separator option for seconds timeframes
Full Customization: Independent color, style, and width settings for all lines
Smart Alerts: Optional price break alerts for high/low levels with sound options
Clean Memory Management: Automatically manages line objects to prevent chart clutter
Sliding Window Display: Set exactly how many vertical separator lines to show (1-20), with older lines automatically removed as new periods begin
Perfect for:
Session/period analysis with controlled visual complexity
Support/resistance level identification across multiple periods
Fibonacci-style level trading between defined time periods
Clean chart presentation with limited historical data display
Settings:
Number of Vertical Lines: Controls exactly how many period separators are visible
All price levels can be toggled on/off independently
Comprehensive styling options for professional chart presentation
Ideal for traders who want period-based analysis without overwhelming their charts with too many historical lines.
30-10-3 MAX,min dinamici Supported timeframes: The script works only on timeframes of 1 minute or lower (including second-based timeframes).
Displayed levels: The highs and lows of the last closed candle are plotted for the 30-minute, 10-minute, and 3-minute timeframes.
Updates: The levels update only when a candle closes in the respective timeframe (e.g., every 30 minutes for the 30m levels).
Visualization: Dashed lines for highs and lows (blue for 30m, green for 10m, red for 3m).
Labels indicating "Max 30m", "Min 30m", etc., positioned above the highs and below the lows.
Watermark with Session Boxes (by Rufi)Watermark & Session Boxes - Chart Branding Tool
What it does: Combines professional chart watermarking with automated trading session visualization for clean, branded analysis.
Key Features:
Smart Session Boxes: Auto-draws boxes around Asia (8PM-11:59PM), London (2AM-5AM), and NY (7AM-10AM) sessions using high/low detection
Custom Watermark: Professional text overlay with your brand/tagline
Full Customization: Adjustable colors, transparency (0-100%), and display limits (1-30 days)
How it works: Uses Pine Script's time() function to detect session periods, tracks price extremes during each session, then draws filled rectangles from session high to low. Perfect for identifying key support/resistance levels from major trading periods.
Best for: Intraday traders who want branded charts with clear session-based S/R levels. Ideal for forex, indices, and crypto on lower timeframes.
RSI Crossover with Candlestick Patternsusing the RSI indicator levels 40 and 60, where the signal cuts above level 40 with a candlestick hammer or bull engulfing and cuts below level 60 with a candlestick inverter hammer or bearish engulfing.
2nd 1H: Midpoints (white=2nd mid, blue=2-candle range mid)2nd 1H: Midpoints (white=2nd mid, blue=2-candle range mid)
Quadro Volume Profile- ArchitThe volume profile indicator is an advanced charting tool that displays trading activity (volume) at specific price levels during a selected time period. Unlike traditional volume indicators, which show volume over time (below the price chart), the volume profile plots a histogram on the price axis to show where the most trading has occurred for each price point.
Liquidity Pro Map - ArchitLiquidity Indicator for gauging orders volatility. It is visually highlight where buy and sell liquidity is concentrated on a chart.
Opening Range TraderThis indicator, "Opening Range Trader," provides visual tools for defining and tracking two customizable intraday ranges plus today’s open, high, and low. It is designed for day traders to identify support, resistance, and breakout opportunities by automatically marking key price levels that often shape the day's momentum.
It offers:
Customizable start and end times for two independent time ranges.
Toggle options to display lines for the selected ranges and for today’s open, high, and low.
Automatic adaptation for New York market hours.
Real-time updates for session highs/lows and today’s evolving levels.
Traders use this to watch for breakouts above or below the opening range (ORB strategy), to fade false moves when price returns inside the range, or to participate in trending moves after volatility begins. A common setup is entering long on closes above the range high, or short on closes below the range low, with stops and targets based on the range’s width or the opposite boundary.
Risk management approaches include placing stop losses at the midpoint or at the opposite end of the range, and adjusting targets for measured moves. Volume confirmation can help filter valid breakouts, while adapting times for specific assets and trading styles maximizes flexibility.
The second range allows traders to repeat similar strategies later in the session for evolving momentum windows, making this indicator useful for multiple intraday setups.
Clean MA + Signals (overlay)//@version=5
indicator("Clean MA + Signals (overlay)", overlay=true)
// Inputs
maLen = input.int(50, "MA Length", minval=1)
maType = input.string("EMA", "MA Type", options= )
// MA
maCalc(src, len, typ) =>
switch typ
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"RMA" => ta.rma(src, len)
"WMA" => ta.wma(src, len)
maLine = maCalc(close, maLen, maType)
plot(maLine, "MA", color=color.new(color.teal, 0), linewidth=2)
// Siqnallar — yalnız kəsişmə anında
longCond = ta.crossover(close, maLine)
shortCond = ta.crossunder(close, maLine)
plotshape(longCond, "LONG", location=location.belowbar, style=shape.triangleup, color=color.lime, size=size.small, text="LONG")
plotshape(shortCond, "SHORT", location=location.abovebar, style=shape.triangledown, color=color.red, size=size.small, text="SHORT")
alertcondition(longCond, "LONG Signal", "LONG signal on {{ticker}} {{interval}}")
alertcondition(shortCond, "SHORT Signal", "SHORT signal on {{ticker}} {{interval}}")
NY 14:30 High/Low - 1mThis indicator automatically draws horizontal lines for the High (green) and Low (red) of the 14:30 (Lisbon) candle on the 1-minute chart.
It is designed for traders who want to quickly identify the New York open levels (NY Open), allowing you to:
Visualize the NY market opening zone.
Use these levels as intraday support or resistance.
Plan entries and exits based on breakouts or pullbacks.
Features:
Works on any 1-minute chart.
Lines are drawn immediately after the 14:30 candle closes.
Lines extend automatically to the right.
Simple and lightweight, no complex variables or external dependencies.
Daily reset, always showing the current day’s levels.
Recommended Use:
Combine with support/resistance zones, order blocks, or fair value gaps.
Monitor price behavior during the NY open to identify breakout or rejection patterns.
Bullish_1Hour_entry_Indicator with Alertsthis indicator consioders entry basis of EMAs convergence , VWAP & Multitime frame analysis
Candle Range % MarkerHigh/Low Percentage marker. For a Green Candle its low to High. For a Red its from High to Low of the Candle
30m stratDefine a time range, and the indicator will highlight it with a shaded area
This indicator lets you visualize higher timeframe levels while viewing a lower timeframe chart.
FAILED 9Define a time range, and the indicator will highlight it with a shaded area.
The indicator helps you see higher timeframe structure while trading on a lower timeframes
Adaptive Heikin Ashi [CHE]Adaptive Heikin Ashi — volatility-aware HA with fewer fake flips
Summary
Adaptive Heikin Ashi is a volatility-aware reinterpretation of classic Heikin Ashi that continuously adjusts its internal smoothing based on the current ATR regime, which means that in quiet markets the indicator reacts more quickly to genuine directional changes, while in turbulent phases it deliberately increases its smoothing to suppress jitter and color whipsaws, thereby reducing “noise” and cutting down on fake flips without resorting to heavy fixed smoothing that would lag everywhere.
Motivation: why adapt at all?
Classic Heikin Ashi replaces raw OHLC candles with a smoothed construction that averages price and blends each new candle with the previous HA state, which typically cleans up trends and improves visual coherence, yet its fixed smoothing amount treats calm and violent markets the same, leading to the usual dilemma where a setting that looks crisp in a narrow range becomes too nervous in a spike, and a setting that tames high volatility feels unnecessarily sluggish as soon as conditions normalize; by allowing the smoothing weight to expand and contract with volatility, Adaptive HA aims to keep candles readable across shifting regimes without constant manual retuning.
What is different from normal Heikin Ashi?
Fixed vs. adaptive blend:
Classic HA implicitly uses a fixed 50/50 blend for the open update (`HA_open_t = 0.5 HA_open_{t-1} + 0.5 HA_close_{t-1}`), while this script replaces the constant 0.5 with a dynamic weight `w_t` that oscillates around 0.5 as a function of observed volatility, which turns the open update into an EMA-like filter whose “alpha” automatically changes with market conditions.
Volatility as the steering signal:
The script measures volatility via ATR and compares it to a rolling baseline (SMA of ATR over the same length), producing a normalized deviation that is scaled by sensitivity, clamped to ±1 for stability, and then mapped to a bounded weight interval ` `, so the adaptation is strong enough to matter but never runs away.
Outcome that matters to traders:
In high volatility, the weight shifts upward toward the prior HA open, which strengthens smoothing exactly where classic HA tends to “chatter,” while in low volatility the weight shifts downward toward the most recent HA close, which speeds up reaction so quiet trends do not feel artificially delayed; this is the practical mechanism by which noise and fake signals are reduced without accepting blanket lag.
How it works
1. HA close matches classic HA:
`HA_close_t = (Open_t + High_t + Low_t + Close_t) / 4`
2. Volatility normalization:
`ATR_t` is computed over `atr_length`, its baseline is `ATR_SMA_t = SMA(ATR, atr_length)`, and the raw deviation is `(ATR_t / ATR_SMA_t − 1)`, which is then scaled by `adapt_sensitivity` and clamped to ` ` to obtain `v_t`, ensuring that pathological spikes cannot destabilize the weighting.
3. Adaptive weight around 0.5:
`w_t = 0.5 + oscillation_range v_t`, giving `w_t ∈ `, so with a default `range = 0.20` the weight stays between 0.30 and 0.70, which is wide enough to matter but narrow enough to preserve HA identity.
4. EMA-like open update:
On the very first bar the open is seeded from a stable combination of the raw open and close, and thereafter the update is
`HA_open_t = w_t HA_open_{t−1} + (1 − w_t) HA_close_{t−1}`,
which is equivalent to an EMA where higher `w_t` means heavier inertia (more smoothing) and lower `w_t` means stronger pull to the latest price information (more responsiveness).
5. High and low follow classic HA composition:
`HA_high_t = max(High_t, max(HA_open_t, HA_close_t))`,
`HA_low_t = min(Low_t, min(HA_open_t, HA_close_t))`,
thereby keeping visual semantics consistent with standard HA so that your existing reading of bodies, wicks, and transitions still applies.
Why this reduces noise and fake signals in practice
Fake flips in HA typically occur when a fixed blending rule is forced to process candles during a volatility surge, producing rapid alternations around pivots or within wide intrabar ranges; by increasing smoothing exactly when ATR jumps relative to its baseline, the adaptive open stabilizes the candle body progression and suppresses transient color changes, while in the opposite scenario of compressed ranges, the reduced smoothing allows small but persistent directional pressure to reflect in candle color earlier, which reduces the tendency to enter late after multiple slow transitions.
Parameter guide (what each input really does)
ATR Length (default 14): controls both the ATR and its baseline window, where longer values dampen the adaptation by making the baseline slower and the deviation smaller, which is helpful for noisy lower timeframes, while shorter values make the regime detector more reactive.
Oscillation Range (default 0.20): sets the maximum distance from 0.5 that the weight may travel, so increasing it towards 0.25–0.30 yields stronger smoothing in turbulence and faster response in calm periods, whereas decreasing it to 0.10–0.15 keeps the behavior closer to classical HA and is useful if your strategy already includes heavy downstream smoothing.
Adapt Sensitivity (default 6.0): multiplies the normalized ATR deviation before clamping, such that higher sensitivity accelerates adaptation to regime shifts, while lower sensitivity produces gradual transitions; negative values intentionally invert the mapping (higher vol → less smoothing) and are generally not recommended unless you are testing a counter-intuitive hypothesis.
Reading the candles and the optional diagnostic
You interpret colors and bodies just like with normal HA, but you can additionally enable the Adaptive Weight diagnostic plot to see the regime in real time, where values drifting up toward the upper bound indicate a turbulent context that is being deliberately smoothed, and values gliding down toward the lower bound indicate a calm environment in which the indicator chooses to move faster, which can be valuable for discretionary confirmation when deciding whether a fresh color shift is likely to stick.
Practical workflows and combinations
Trend-following entries: use color continuity and body expansion as usual, but expect fewer spurious alternations around news spikes or into liquidity gaps; pairing with structure (swing highs/lows, breaks of internal ranges) keeps entries disciplined.
Exit management: when the diagnostic weight remains elevated for an extended period, you can be stricter with exit triggers because flips are less likely to be accidental noise; conversely, when the weight is depressed, consider earlier partials since the indicator is intentionally more nimble.
Multi-asset, multi-TF: the adaptation is especially helpful if you rotate instruments with very different vol profiles or hop across timeframes, since you will not need to retune a fixed smoothing parameter every time conditions change.
Behavior, constraints, and performance
The script does not repaint historical bars and uses only past information on closed candles, yet just like any candle-based visualization the current live bar will update until it closes, so you should avoid acting on mid-bar flips without a rule that accounts for bar close; there are no `security()` calls or higher-timeframe lookups, which keeps performance light and execution deterministic, and the clamping of the volatility signal ensures numerical stability even during extreme ATR spikes.
Sensible defaults and quick tuning
Start with the defaults (`ATR 14`, `Range 0.20`, `Sensitivity 6.0`) and observe the weight plot across a few volatile events; if you still see too many flips in turbulence, either raise `Range` to 0.25 or trim `Sensitivity` to 4–5 so that the weight can move high but does not overreact, and if the indicator feels too slow in quiet markets, lower `Range` toward 0.15 or raise `Sensitivity` to 7–8 to bias the weight a bit more aggressively downward when conditions compress.
What this indicator is—and is not
Adaptive Heikin Ashi is a context-aware visualization layer that improves the signal-to-noise ratio and reduces fake flips by modulating smoothing with volatility, but it is not a complete trading system, it does not predict the future, and it should be combined with structure, risk controls, and position management that fit your market and timeframe; always forward-test on your instruments, and remember that even adaptive smoothing can delay recognition at sharp turning points when volatility remains elevated.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Ch Enhanced Buy Sell Volume// ========================================
// 📊 HOW TO READ THIS INDICATOR 📊
// ========================================
//
// 🟢 GREEN BARS (Above Zero) = BUY VOLUME
// 🔴 RED BARS (Below Zero) = SELL VOLUME
//
// 💡 BAR COLORS MEANING:
// • DARK GREEN = Strong buyer dominance (high conviction buying)
// • LIGHT GREEN = Weak buyer dominance (low conviction)
// • DARK RED = Strong seller dominance (high conviction selling)
// • LIGHT RED = Weak seller dominance (low conviction)
//
// 🎯 TRADING SIGNALS:
// • Tall dark green bars = Strong bullish momentum
// • Tall dark red bars = Strong bearish momentum
// • Light colored bars = Weak conviction, potential reversal
// • Green bars > Red bars = Buyers winning
// • Red bars > Green bars = Sellers winning
//
// 📈 BULLISH SIGNALS:
// • Buy% > 70% = Strong buying interest
// • Dark green bars with high delta = Professional buying
// • Buy volume above yellow MA line = Above average buying
//
// 📉 BEARISH SIGNALS:
// • Sell% > 70% = Strong selling pressure
// • Dark red bars with high delta = Professional selling
// • Sell volume below yellow MA line = Above average selling
//
// ⚠️ WARNING SIGNALS:
// • Price up + Red dominance = Bearish divergence
// • Price down + Green dominance = Bullish divergence
// • Low delta (<10%) = Market indecision
//
// 📊 INFO TABLE (Top-Right):
// • Buy%: Percentage of volume that was buying
// • Sell%: Percentage of volume that was selling
// • Delta%: Strength of dominance (difference between buy/sell)
// • Dom: Which side is currently dominant (BUYERS/SELLERS)
//
// 🟡 YELLOW LINES = Volume Moving Average
// • Upper line: Reference for buy volume (green bars)
// • Lower line: Reference for sell volume (red bars)
// • Above yellow = Higher than average volume
// • Below yellow = Lower than average volume
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription:
This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals.
Logic in Detail:
Adaptive Median Heikin-Ashi (AMHA):
Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise.
Standard Heikin-Ashi Overlay:
Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter.
EMA Structure:
Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend.
EMA50/200 Counter:
The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter.
Average of the Last 10 Crossovers (Avg10Crosses):
The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior.
Benefits for Analysis:
Clearer trend visualization through adaptive Heikin-Ashi calculation.
Multi-EMA setup for quick structural assessment.
Objective measurement of trend phase duration.
Statistical insight from the average cycle length of past EMA50/200 crosses.
Flexible visualization through adjustable offset positioning below the price chart.
Usage:
Add the indicator to your chart.
For a clean look, you may switch your chart type to “Line” or hide standard candlesticks.
Interpret visual signals:
White candles = bullish phases
Orange candles = bearish phases
EMAs = structural trend filters (e.g., EMA200 as a long-term boundary)
The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean.
Special Feature:
This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.