AI-Swing/Long Batch 31. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
Bänder und Kanäle
AI-Swing/Long Batch 41. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-Swing/Long Batch 51. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-NIFTY50_21. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-NIFTY50_11. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-INTRADAY-INDEX1. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
AI-Swing/Long Batch 11. Introduction
The Supertrend Plus strategy is an advanced technical indicator built on the widely popular Supertrend. It has been designed for traders who want to capture price action across multiple timeframes 1D TO 3M
EMA Envelope + SMA + Purple DotThis indicator combines three tools into one:
📈 EMA Envelope with wedge and range contraction signals to highlight volatility squeezes.
🔵 SMA with optional smoothing (SMA/EMA/WMA/SMMA/VWMA) and optional Bollinger Bands.
🟣 Purple Dot “PowerBars” that mark strong momentum bars when price ROC (%) and volume exceed user-defined thresholds.
It also includes:
Background highlighting of contraction zones (bullish/bearish/neutral colors).
A summary table showing PowerBar count and return (%) over custom lookback periods.
Flexible display settings (table position, dark/light theme, highlight toggle).
Designed for traders who want to track momentum bursts, volatility contraction, and trend strength all in one tool.
EMA 3 vs EMA 21 % Difference AdjustableTitle: EMA 3 vs EMA 21 % Difference with Adjustable Labels
Description:
This script calculates the percentage difference between EMA 3 and EMA 21 and displays it directly on the chart as a label. Labels are shown only when the difference exceeds a user-defined threshold, helping traders easily spot significant deviations.
Features:
Calculates EMA 3 and EMA 21.
Displays percentage difference as labels above or below candles.
Adjustable label style and size.
User-defined percentage threshold for label visibility.
Plots EMA lines for visual reference.
Ideal for traders who want to monitor short-term EMA divergence relative to a longer-term trend in a clean and customizable way.
Thiru TOI TrackerThe "Thiru TOI Tracker" is a Pine Script (version 6) indicator designed to mark specific trading session time windows (London, NY AM, and NY PM) on a chart with vertical and horizontal lines and labels.
It highlights key time-of-interest (TOI) periods for traders, such as London (2:45-3:15 AM and 3:45-4:15 AM), NY AM (9:45-10:15 AM and 10:45-11:15 AM), and NY PM (1:45-2:15 PM and 2:45-3:15 PM) in the New York timezone.
The script includes customizable visual settings (line style, width, colors, and label sizes), timeframe filters, and memory cleanup to optimize performance.
Turtle cloudsTurtle clouds is a clean trading indicator that combines the classic Turtle 20-bar breakout strategy with an EMA cloud filter. It only generates signals when price wicks into the EMA cloud and rejects, confirming the breakout direction. Arrows appear bar-aligned, highlighting high-probability long and short setups while filtering trades with trend confluence.
✅ How it works now:
Long signal only triggers when:
The price wicks into the EMA cloud (low <= EMA zone)
Closes above the EMA cloud
Breaks the previous 20-bar high
EMA trend confirms bullish (emaFast > emaSlow)
Short signal only triggers when:
The price wicks into the EMA cloud (high >= EMA zone)
Closes below the EMA cloud
Breaks the previous 20-bar low
EMA trend confirms bearish (emaFast < emaSlow)
Arrows are bar-aligned and will not float or repaint.
H1 Pivot Close Lines (Blue) — gaps_on v4H1 Pivot Close Lines (Blue) — gaps_on v4
Auto draw line for close price in pivot
Prism Ribbon LitePrism Ribbon Lite (Free)
What it is: A glossy, on-chart trend ribbon that makes market state obvious at a glance—perfect for streamers and screenshots.
What you see: Three EMAs with a smooth color-fill, a soft Bollinger channel glow, optional session VWAP, and a compact HUD (trend, RVOL, BB z-width).
When to use it: Any timeframe, any symbol, when you want a beautiful, low-noise read of expansion vs balance.
Why it’s free: It’s a visual compass—no signals, no backtesting—so you can learn market structure without distractions.
Pro tip: Use the ribbon color + VWAP alignment to decide if you should even be looking for longs/shorts before applying your actual system.
Preston Pysh - BTC Power Law in Any Fiat CurrencyThis tool helps a user understand what the power law suggests the expected annual CAGR is for any currency (can be adjusted in the settings). It also shows the project price (in said fiat currency) for the next ten years.
Logarithmic Bollinger Bands with Secondary BandThe Logarithmic Bollinger Bands indicator is a variation of standard Bollinger Bands that applies the calculation on a logarithmic scale rather than directly on price values. This approach is particularly useful in markets where assets experience exponential growth or large percentage-based moves, as it allows the bands to adapt proportionally instead of being distorted by absolute price changes. The indicator calculates a moving average of the log-transformed price (the basis), then adds and subtracts multiples of the standard deviation of the log price to form the upper and lower bands. Finally, the results are converted back to normal price scale for plotting. In addition to the primary bands set at 2.0 standard deviations, this version includes a secondary band set at 0.5 standard deviations, offering a closer inner envelope around the mean.
To use this indicator
Traders can observe how price interacts with both the inner and outer bands. The outer 2.0 standard deviation bands represent traditional Bollinger-style boundaries, highlighting potential overbought or oversold conditions when price pushes beyond them.
The inner 0.5 bands provide an earlier signal of price compression and breakout potential, as moves outside these tighter bands often precede larger volatility expansions.
Together, these dual layers give traders a way to monitor both short-term fluctuations and broader trend extremes, making it easier to spot opportunities for entries, exits, or risk management in markets where percentage-based scaling is more meaningful than raw price levels.
My scriptadvanced indicators layered into your existing multi-indicator strategy. This version is built for serious precision and trend validation.
SLefebvre The Trading DeskGUS Stats
Double Top Stats and lines
Open price
Gap info
Double Top bottom alert
TheWave + Supertrend Hybrid w/ Signals• Green triangle below bar → Long entry signal
• Red triangle above bar → Short entry signal
• Small lime cross above/below → Take-profit hit
• Small maroon cross above/below → Stop-loss hit
• SMA5 and Supertrend lines for trend context
This version makes all entries and exits visually obvious while keeping the hybrid TheWave + Supertrend logic intact.
TheWaveStrategy v6 - QQE + ATR (Optional Trailing)New Version Of the wave with QQE and ATR
• Compiles cleanly in Pine v6.
• Optional trailing stop toggle via useTrailingATR.
• Market exit uses strategy.close() properly.
• ATR spike filter uses 5m ATR.
• QQE confluence with 30m timeframe included.
MA Ribbon ExtendedCombines multiple moving averages (SMA, EMA, WMA, ALMA, HMA, DEMA, TEMA, SMMA, KAMA, FRAMA, McGinley) and VWAP ±σ bands into one indicator. The indicator is fully customizable based on type, period length, timeframe, visibility, and color settings.
Simple Volume Analyzer..This is a simple yet powerful volume indicator that colors volume bars based on whether they are above or below a moving average. Useful for identifying breakouts and low-volume zones.
Wahrscheinlichkeits-OszillatorWhat the Indicator Measures (Short Version)
The indicator measures, over several different time windows (eight different historyLength values), the probability that the current indicator value (here, a 14-period SMA of the closing price) is higher than past values in that window.
These probabilities (named prob1 … prob8) are expressed as percentages (0–100). The arithmetic mean of these eight percentages is avgLine. Additionally, there are smoothings (SMMA) and a baseline (SMA of avgLine), similar to Bollinger Bands.
Step-by-Step: How the Values Are Calculated
Source:
sma_val = ta.sma(close, 14) → This is the 14-period simple moving average of the closing price. This smoothed price is used as the "current comparison value" (instead of raw close) to reduce noise.
Historical Array & Counting (Function calculateProbability)
For each probX, the function maintains an array of the most recently stored current values (up to historicalLength entries).
For the current sma_val, it counts how many entries in the historical array are smaller than current.
Then this number is divided by the total number of historical entries → result is a decimal between 0 and 1.
Multiplying by 100 gives probX in percent.
Mathematical (Pseudo):
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prob = (1 / total) * sum_{i=0}^{total-1} [ current > historical ] * 100
→ This is equivalent to the empirical percentile/rank position of the current value within the history.
Eight Windows / Ensemble:
prob1 … prob8 are calculated with different historyLength values (400, 350, 175, 130, 83, 42, 21, 15).
Longer windows measure “long-term” trend strength; shorter windows measure short-term relative strength/momentum.
avgLine:
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avgLine = (prob1 + ... + prob8) / 8
→ Ensemble average of all eight percentiles. Useful for smoothing extreme values from individual windows.
Smoothing (SMMA):
SMMA on prob1 and SMMA1 on avgLine reduce short-term fluctuations and make signals more stable.
Baseline & “Bands”:
Finally, basis = ta.sma(avgLine, length) and dev = mult * ta.stdev(avgLine, length) are calculated — this is exactly the baseline + band logic of a Bollinger-style representation, applied to avgLine.
Why It’s Meaningful
Percentiles/ranks are robust to scale changes. Instead of absolute price differences, the indicator answers: “Is the current (smoothed) price higher than usual over the last N periods?”
The ensemble of multiple window lengths captures different market regimes: short windows react quickly to momentum, long windows provide context and reduce false signals.
Smoothing (SMA/SMMA) reduces noise, making signals less sensitive to intraday jitter.
Interpretation: When Is the Market “Overheated” / “Not Overheated”?
High values (e.g., avgLine ≈ 80–100 or individual probX > 90):
The current SMA is higher than almost all previous values in the considered window → strong bullish dominance. This can indicate a strong rally (momentum), but also potential overbought conditions, especially if:
Volume growth is slowing, or
avgLine has remained very high for several periods (overextension).
Low values (e.g., avgLine ≈ 0–20):
The current SMA is below most of the historical values → market is under pressure or potentially oversold. Short-term reversal/recovery opportunities are more likely, especially if multiple windows are simultaneously low.
Values around ~50: Neutral — the current value is typical, in the middle of its historical distribution.
Concrete Rule (Your Specification): Buy / Sell
Buy Signal: When all eight lines (prob1 … prob8) are below lowerLine (e.g., lowerLine = 20).
→ Meaning: In all short- to long-term windows, the current SMA is below most historical values → strong, broadly confirmed undervaluation signal (potential rebound or end of correction).
Recommendation: Strong convergent long signal, especially if accompanied by volume increase or support confirmation.
Sell Signal: When all eight lines are above upperLine (e.g., upperLine = 90).
→ Meaning: In all windows, the current SMA is higher than almost all historical values → broadly confirmed overbought / overheating.
Recommendation: Strong convergent short/take-profit signal, especially if coinciding with divergences, weakening volume, or resistance areas.
Important Limitations & Risks (Pay Attention!)
Trend vs. Mean-Reversion: In a strong trend, all windows can stay high for a long time (trend continuation risk). An “all below lower → buy” signal can continue to fall in a strong downtrend → use stop-loss and trend filter (higher TF).
Historical Length & Sampling: Chosen historyLength values determine sensitivity. Very long windows make the indicator slower; very short windows increase noise.
Statistical Stationarity: Percentile signals assume the distribution remains comparable — in crashes/news events, distributions can break.
Smoothing / Lag: SMMA reduces false breakouts but adds delay — trade entries may occur later.
Practical Examples (Concrete)
Example Buy: prob1..prob8 = , lowerLine = 20 → all below 20 → strong long signal.
Example Sell: prob1..prob8 = , upperLine = 90 → all above 90 → take-profit / short signal.
Conclusion (Short)
Your indicator is a percentile/ranking oscillator over multiple windows — a robust ensemble measuring the relative position of the (smoothed) price to its own history.
Overheated = high, broadly confirmed prob values (e.g., all > upperLine).
Oversold = low, broadly confirmed prob values (e.g., all < lowerLine) → your rule: all below lowerLine = buy, all above upperLine = sell.
Never trade blindly — always use risk management and confirmation (volume, higher timeframes, structure).
