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Wedge Polaris [JOAT]Wedge Polaris Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart. What makes it different Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels. Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned. Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern. A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes. A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument. How it works Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays. Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments. Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern. Slope analysis classifies the pattern family. On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier. Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics. Reading the chart Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels). Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends. A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx. A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones. Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+. A right-side bias gauge: 21-segment vertical band with a pointer. Optional right-side breakout-probability gauge (separate from bias gauge). A completed-pattern history strip above past pattern midpoints. A strong-break flash: bgcolor pulse on the strong-break bar. Signals Pattern formed Bullish / bearish breakout Strong bullish / strong bearish breakout Target 1 / Target 2 / Target 3 hit Stop loss hit All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs Zigzag : zigzag length. Collinearity : base tolerance (as a fraction of price). Breakout : SL width multiplier, target line extension bars. Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder. On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation. Dashboard : position, size. How traders use this Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry. Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible. R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward. Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals. Limitations Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes. Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance. The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful. Pattern recognition is fundamentally interpretive. Even confirmed patterns fail. Compatibility Pine Script v6 open-source indicator. Imports TradingView/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls. Defaults 7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.

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od officialjackofalltrades

Pythagorean Time Price Geometry Ver 1.0 Pythagorean Time Price Geometry — Ver 1.0 By Timepricedecoder Overview This indicator applies W.D. Gann's Time = Price principle using Pythagorean geometry to project natural time cycles and price grid levels directly on the chart. Gann believed that financial markets move in geometric harmony — that price and time are not independent variables, but two sides of the same equation. When they balance, the market reaches a natural turning point. This script operationalises that idea using the Pythagorean theorem — the ancient mathematical relationship where in a right-angled triangle, the square of the hypotenuse equals the sum of squares of the other two sides (a² + b² = c²). In market terms: Side A (time) — the number of bars in the anchor swing Side B (price) — the range of the anchor swing (High − Low) Side C (hypotenuse) — the natural cycle projection derived from both By selecting a Pythagorean Triple (sets of whole numbers satisfying a² + b² = c², such as 3-4-5, 5-12-13, 8-15-17), the script scales the time-price relationship into a precise geometric ratio. This ratio then defines the grid cell size, the cycle length, and the angle of the diagonal — all derived from a single anchor swing. The result is a self-organising grid that maps where price should find support or resistance, and when time cycles are due to complete — giving the trader a structured, geometry-based framework rather than arbitrary indicator levels. When time and price arrive at the same Pythagorean node simultaneously — the market is squaring — and that is where the highest-probability signals are generated. Core Concepts Time = Price Squaring Price range and time duration are treated as the two legs of a right triangle. When they balance — the market is at a Square — reversals or accelerations are most likely. Pythagorean Nodes From the anchor swing (High → Low or Low → High), the script calculates: Sq — Square of the swing (time leg = price leg). Highest grade signal Hyp — Hypotenuse projection. Major cycle marker ½Hyp — Half Hypotenuse. Minor cycle node ½Sq — Early warning zone These project forward as repeating time cycles across the chart. Harmonic Grid Price is divided into cells derived from the Pythagorean triple ratio (B/A × Range). The grid repeats both in time (columns) and price (rows), creating a natural map of support, resistance, and time confluence. Signal Tiers 🟨 BUY/SELL-Sq — Time node + Price grid level align. Strongest signal 🟩 BUY/SELL-T — Time node only. Moderate signal ⬜ BUY/SELL-P — Price grid level only. Weakest, disabled by default Confluence Zones ⚡ ⚡ — Quarter cycle node ⚡⚡ — Half cycle node ⚡⚡⚡ — Full cycle node (highest confluence) Recommended Settings StyleGann NumberDivisorTripleSwing WidthScalping221/44-3-5NarrowShort Term441/24-3-5NormalMedium Term881/23-4-5NormalLong Term176Full3-4-5Wide InstrumentType SettingNotesOptionsOptionsGrid origin auto-adjustedIndicesIndicesUse 88, 1/2 divisorStocksStocksUse Adaptive stabilityFuturesFuturesUse 44 or 88 Grid Stability Strict — Anchors rarely shift. Best for trending markets Adaptive — Default. Balances stability and responsiveness Relaxed — Reanchors more freely. Best for ranging markets How To Use Let the script auto-detect the swing anchor (or set manually) Watch for Sq labels on vertical cycle lines — these are key dates Enter on BUY-Sq / SELL-Sq signals with candle confirmation Use ⚡⚡⚡ confluence zones as high-alert turning point windows The active zone box shows current grid cell position (Upper = bullish bias, Lower = bearish bias) Disclaimer This script is published for educational purposes only. It does not constitute financial advice. Past signal accuracy does not guarantee future results. The swing detection uses Daily OHLC data with lookahead enabled — results may differ slightly on live bars versus historical bars. Always use proper risk management. Trade at your own risk.

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od TimePriceDecoder

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od ZeroHeroTrading

HTF Descending Triangle HTF Descending Triangle aims at detecting descending triangles using higher time frame data, without repainting nor misalignment issues. Descending triangles are defined by a falling upper trend line and an horizontal lower trend line. It is a chart pattern used in technical analysis to predict the continuation of a downtrend. This indicator can be useful if you, like me, believe that higher time frames can offer a broader perspective and provide clearer signals, smoothing out market noise and showing longer-term trends. You can change the indicator settings as you see fit to tighten or loosen the detection, and achieve the best results for your use case. Features It draws the detected descending triangle on the chart. It supports alerting when a detection occurs. It allows for setting the higher time frame to run the detection on. It allows for setting the minimum number of consecutive valid higher time frame bars to fit the pattern criteria. It allows for setting a low factor detection criteria to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close. It allows for turning on an adjustment of the triangle using highest/lowest values within valid higher time frame bars. Settings Higher Time Frame dropdown: Selects higher time frame to run the detection on. It must be higher than, and a multiple of, the chart's timeframe. Valid Bars Minimum field: Sets minimum number of consecutive valid higher time frame bars to fit the pattern criteria. Low Factor checkbox: Turns on/off low factor detection criteria. Low Factor field: Sets low factor to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close. Adjust Triangle checkbox: Turns on/off triangle adjustment using highest/lowest values within valid higher time frame bars. Detection Algorithm Notes The detection algorithm recursively selects a higher time frame bar as reference. Then it looks at the consecutive higher time frame bars (as per the requested number of minimum valid bars) as follows: High must be lower than previous bar. Open/close min value must be higher than reference bar low. When low factor criteria is turned on, low must be lower than reference bar open/close min value minus low factor proportion of the distance between reference bar low and open/close min value.

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od ZeroHeroTrading

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od ZeroHeroTrading

Triangular Moving Average The TRIMA is simply the SMA of the SMA -- a double-smoothed simple moving average . The end effect of the double smoothing is that greater weight is placed on values near the middle of the lookback period. It therefore reacts relatively slowly to price changes compared to most moving averages . But why would I want more lag? One potential use of this moving average that I've found is that it can allow price to run for a bit after crossing the TRIMA before catching up and creating an opposing signal. It therefore creates the chance for the price to "run its course" so to speak, which can make whipsaw signals less common.

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od JacobAmos