Indikator
Indikator
AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management.
This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present.
The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use.
The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions.
AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias.
One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move.
The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement.
Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades.
AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them.
The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic.
Main features include:
• Buy, Sell, and Exit labels
• Teal and pink AlgoZ Pro visual theme
• Price action and market structure based signals
• Internal support and resistance break logic
• Optional BOS / CHoCH structure markings
• EMA trend filtering
• ADX trend strength filter
• Chop and range filter
• Candle quality filter
• Trend lock system
• Countertrend signal protection
• Auto pip size detection
• Auto adjustment for JPY and non-JPY forex pairs
• ATR-based auto pair tuning
• Dynamic stop logic
• Runner-style trade management
• Breakeven / profit lock logic
• Trailing stop logic for stronger moves
• Dead-trade exit protection
• Optional bar coloring
• Optional entry and stop lines
• Optional status table
Recommended default use:
1-minute EUR/USD forex chart.
Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions. Indikator
HTF Support/Resistance Multi-TapThe HTF Multi-Tap S/R Zones is an advanced structural indicator designed for lower timeframe traders who need higher timeframe confluence without cluttering their charts.
Instead of drawing infinite lines everywhere, this indicator tracks historical pivot points from a Higher Timeframe (HTF) of your choice and dynamically builds highly-validated "Zones of Interest" directly onto your current chart. It is specifically engineered to find areas where price has repeatedly struggled to break through.
Core Features:
Dynamic Wick Absorption (Zones): When price wicks into the same general area, the script doesn't just plot a single static line. It dynamically expands the top and bottom borders of a "Zone" to encompass the full range of the historical wicks, giving you a literal block of rejection to trade against.
Zone Merging: If two adjacent zones expand enough to touch each other, the indicator will seamlessly merge them into one massive, highly significant structural block.
Volume & Tap Tracking: Every time price taps a zone, the script records the touch and pulls the exact volume that occurred on that HTF candle. The zone's label clearly displays the total accumulated volume and the number of taps it took to build it.
Automated Volume Grading: The indicator continuously scans the active zones on your chart and automatically tags the zone with the absolute highest historical volume with a (⭐ Max Vol) label, instantly showing you the strongest defensive wall on the board.
Clean & Focused: By default, it only displays the 3 closest Support zones and the 3 closest Resistance zones to the current price, keeping your chart clean and focused strictly on the levels that matter right now.
How to Use (Confluence):
This is not a standalone entry signal; it is a confluence tool.
If you are trading on a 1-minute or 5-minute chart, set the indicator's HTF to 15m or 1H. Use these projected zones as high-probability areas to look for your lower timeframe entry models (like break of structure, fair value gaps, or engulfing candles). The (⭐ Max Vol) zones are prime locations for strong reversals or major breakout continuations.
Settings:
Higher Timeframe: Choose which timeframe to pull structural pivots from.
Proximity Threshold %: Adjust how close price needs to come to an existing zone to be considered a "Tap" and expand the box. Increase this slightly for highly volatile assets to absorb larger wicks.
Minimum Taps: Determine how many times a level must be tested before it is considered valid and plotted on your screen.
Indikator
Swing Ladder Trend Engine [Jayadev Rana]OVERVIEW
Swing Ladder Trend Engine is a pure price-action trend-following tool. It builds its entire read of the market from confirmed swing highs and swing lows — no moving averages, no ATR, no oscillators. From that swing structure it derives three things: the current trend state, entry and exit signals, and a structure-anchored trailing stop (the "ladder") that only steps in the direction of the trade.
HOW IT WORKS
1. Swing structure. Confirmed pivot highs and lows (Swing Detection Length bars on each side) are classified as HH, HL, LH or LL and tagged on the chart.
2. Trend engine. When a bar closes beyond the most recent confirmed swing high, the trend state flips bullish; a close below the last confirmed swing low flips it bearish. Each swing level can only be broken once, so continuation breaks are tracked cleanly and bars are tinted by the active trend.
3. Ladder stop. Instead of a volatility trail, the stop is anchored to structure itself: in an uptrend it sits below the last confirmed swing low, offset by a configurable percentage of the current swing range, and it can only ratchet upward as new higher lows confirm. The result is a stepped "ladder" that gives the trade room where structure says it needs room, and tightens where structure tightens.
4. Pullback-quality entries. In the default Pullback mode a structure break only arms a setup. The entry itself requires the market to retrace into the breakout leg (between the Min and Max Retracement %), and then print a resumption candle: a close beyond the previous bar's extreme with a directional body of at least the Trigger Body Dominance fraction of its range. Retracements deeper than the maximum void the setup. A Breakout mode is included for traders who prefer to enter on the structure break itself.
SIGNALS: ENTRY, EXIT AND STOP
LONG / SHORT labels mark entries; the label tooltip stores the entry price and the ladder stop at that moment. A trade is closed either when price closes through the ladder stop or when the structure flips against it — the ✕ exit label's tooltip reports the reason and the approximate result in R (risk multiples, measured from entry to the initial ladder stop). All signals are evaluated on confirmed bars only.
DASHBOARD AND ALERTS
A compact dashboard shows the live trend state, the latest swing structure tags, the active signal, the current ladder stop level and the open trade's running R. Six alerts are available: long entry, short entry, exit long, exit short, and bullish/bearish trend flips.
SETTINGS
Swing Detection Length controls the size of the structure being tracked (larger = bigger swings, later confirmation). Entry Mode switches between Pullback and Breakout logic. Min/Max Retracement % and Trigger Body Dominance define what counts as a quality pullback entry. Stop Buffer sets how far beyond the protected swing the ladder sits, as a % of the current swing range. Dashboard position/size, structure labels, bar coloring and colors are all configurable.
LIMITATIONS
Swing points confirm only after the chosen number of right-side bars, so structure tags appear with a delay by design — this is what keeps the logic non-repainting on confirmed bars. Signals fire on bar close, not intrabar. Like any trend-following method, it gives back ground in choppy, range-bound conditions; the pullback filters reduce but do not remove that. R values shown in tooltips and the dashboard are approximations based on closing prices and do not account for gaps, fees or slippage. This is an analysis tool, not financial advice — always test settings on your own market and timeframe before relying on them.
WHY IT IS ORIGINAL
The combination of a swing-anchored ratcheting stop whose buffer adapts to the current swing range, plus an entry gate built from retracement depth and candle body dominance — all derived exclusively from raw price structure — is what this script contributes. It is not a mashup of built-in indicators; every state in the engine comes from the swing ladder itself. Indikator
Potential Well MapOverview
A volume or time profile tells you where price spent time. Potential Well Map tells you the forces acting at each level. It models the market as a particle drifting in a one-dimensional energy landscape and estimates that landscape directly from recent price action — the local drift (average next move) and diffusion (variance of the next move) at each price level — then integrates them into a potential curve. Its valleys are attractors (dynamical support/resistance that pulls price in); its peaks are barriers (levels price is repelled from). Two levels with identical occupancy can be opposite in dynamics — one an attractor, one a barrier — and this map tells them apart. It is a descriptive structure-and-risk map, not a predictive signal.
Why these components are ONE tool (mashup justification)
This is a four-stage chain where each stage produces something the previous one can't, and the honesty layer keeps the whole thing accountable:
Drift + diffusion per level — the raw forces. For every price bin, exponentially-decayed accumulators track the count, sum, and sum-of-squares of the next one-bar move that started there, giving the conditional first two moments (drift and diffusion) with recent regime weighted most. This is O(N) per bar — no window rebuild, no timeout.
The potential curve — the integral of drift ÷ diffusion. This turns the raw forces into a landscape whose valleys and peaks are attractors and barriers. It is the object an occupancy profile fundamentally cannot produce, because occupancy measures time spent, not the pull at a level.
Escape pressure — a bounded 0–100 breakout gauge derived from the remaining wall height between price and the nearest barrier. Because the potential is already diffusion-normalized, the escape factor is a clean exponential of the wall height, and it concentrates toward 100 as price approaches a wall.
The calibration harness — the honesty layer. When a barrier escape is flagged, did price actually travel that way more often than the unconditional base rate? It reports Hit / Base / Edge, resolved forward on confirmed bars only. The forces are a picture; the harness is the proof. Remove any one stage and the map either asserts structure it never tested, or shows a level with no dynamics behind it.
How it works
Price is detrended into a coordinate x = ln(price) − ln(slow anchor) so the distribution stays roughly centred as price trends. A grid of x-bins spans a few volatility units either side of zero. For each bin, the decayed accumulators build drift and diffusion; neighbour bins are sample-weighted-smoothed; the force (drift ÷ diffusion) is integrated into the potential; valleys and peaks that clear a prominence margin are marked as wells and barriers; and the escape pressure to each adjacent barrier is computed. Bins with too few effective samples are greyed out rather than trusted.
How to use it
Read the landscape as context. The green valley line is the active attractor — a mean-revert target. The dashed red lines are the barriers above and below. The shaded box is the expected range of a stiff well. In the dashboard, the escape pressures rise toward 100 as price nears a wall; a pin (fade-to-mean) is flagged only when price sits mid-well in a stiff, bounded valley, and an escape is flagged when price crosses a barrier after that side's pressure was already elevated. Watch the Edge row: a positive, matured Edge means escapes have led price on this instrument; near-zero means treat the map as structure only, not a trigger. It is never a standalone signal.
Universal & non-repainting
The source is an input and everything is self-scaling (vol-scaled grid, detrended coordinate), so it runs on any symbol and timeframe; defaults suit a liquid index/futures intraday chart. All statistics use closed past bars only — both the drift/diffusion accumulators and the calibration harness update solely on confirmed bars, so their numbers never inflate intrabar. The displayed landscape naturally evolves bar to bar because it is a live estimate, not a fixed level; confirmed escape and pin marks settle on the close of their bar. Edge figures are in-sample, close-to-close, with no costs — a study aid, not a backtest.
Originality
The building blocks are public physics and statistics: stochastic drift-diffusion dynamics, conditional-moment estimation of the drift and diffusion coefficients, and escape-rate theory. What's original is the application to a price series as a live, decayed, per-level energy landscape — the detrended coordinate, the exponential-memory conditional-moment accumulators, the diffusion-normalized potential integral, the prominence-gated well/barrier detection, the escape-pressure gauge, and the forward-calibration harness that scores escapes against their base rate. This is a clean-room implementation; no third-party Pine code is reused.
Concept credits
Stochastic drift-diffusion (Langevin) dynamics and the Fokker–Planck description of a probability landscape — Paul Langevin, Adriaan Fokker, Max Planck
Estimating drift and diffusion from the conditional moments of increments (Kramers–Moyal expansion) — Hendrik Kramers, José Enrique Moyal; exposition after Hannes Risken
Barrier escape / escape-rate theory — Kramers' escape-rate framework
Forward base-rate calibration discipline — standard out-of-sample evaluation practice
Disclaimer
Research and educational tool only. Not financial advice, no recommendation, no guarantee of results. It is an effective, empirical 1-D approximation of a memoryful, multi-factor market — treat "escape pressure" as a relative, normalized gauge, not a literal probability. Estimates are noisy where samples are sparse (the greyed bins). Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability. Indikator
Regime Classifier [RC Tools]RC Tools — Regime Classifier
─────────────────────────────────────────────────────────────
█ OVERVIEW
Most indicators assume a single market condition and quietly fail in another. This tool doesn't generate signals — it tells you which of four market regimes you are currently in, so you can judge whether your existing tools are operating in conditions that suit them. It is a context tool, not a decision tool.
█ WHAT IT DOES
Classifies each confirmed bar into one of four states and colours the chart background accordingly:
• Trending — Expansion: directional, volatility rising
• Trending — Exhaustion: directional, volatility compressing
• Ranging — Quiet: no direction, low volatility
• Ranging — Volatile: no direction, high volatility (chop)
A table (top-right by default, repositionable) shows the current regime, how long price has been in it, and historical base rates — the average forward return and win rate seen after each regime, going back over the chart's full history.
█ THE THEORY BEHIND IT
Market behaviour is not stationary. A trend-following tool that performs well in directional expansion will bleed in volatile chop; a mean-reversion tool does the reverse. Rather than attempting to fix any single indicator, this tool identifies which environment you are in, using two independent dimensions — directionality and volatility state — that measure genuinely different properties of price behaviour rather than two correlated views of the same one.
█ HOW IT IS CALCULATED
DIRECTIONALITY — Efficiency Ratio over N bars:
ER = |close − close | ÷ Σ|close − close |
Bounded 0–1. A value near 1 means price travelled almost directly from A to B (trending); near 0 means it wandered (ranging). No fitted parameters beyond the lookback. The Efficiency Ratio was introduced by Perry Kaufman as the core input to his Adaptive Moving Average (KAMA); it is used here purely as a directionality measure, independent of any moving average.
VOLATILITY STATE — realised volatility, percentile-ranked:
RV = stdev(log(close/close ), N)
RV is then ranked as a percentile against its own trailing distribution (default: 750 bars, ≈3 years on daily). An absolute volatility threshold is meaningless across assets — percentile ranking makes the classification behave identically on BTC, gold and equities with no parameter tuning.
The two dimensions are crossed to yield the four states. Classification occurs ONLY on confirmed bar close — the background never updates mid-bar and then flips back.
The base-rate table works by recording, for every historical bar, the forward N-bar return and whether it was positive, attributed back to whichever regime was active N bars earlier. Only fully-elapsed, already-known returns are used — nothing is looked up ahead of the current bar.
█ SETTINGS & CONFIGURATION
• Efficiency Ratio Lookback (default 20) — shorter = more responsive, noisier
• Realised Volatility Lookback (default 20)
• Percentile Ranking Window (default 750 bars ≈ 3 years daily) — longer = more stable, needs more history
• Directionality Threshold (default 0.35) — the ER above which price is considered trending
• Volatility Percentile Threshold (default 50) — the split between low and high volatility states
• Forward Return Window (default 20 bars) — the horizon used for the base-rate table
• Table position and background colours are fully configurable; the main-chart background painting can be toggled off if you only want the diagnostic pane
█ HOW TO USE IT
Use it as a filter on your existing process, not as an entry trigger. Example: if you run a breakout system, check whether it has historically performed in Ranging — Volatile; if not, consider standing aside when the background flags that state. Example: a mean-reversion system will typically show its worst results in Trending — Expansion.
Works on any asset and timeframe with sufficient history for the percentile window. Best used on daily and above, where regime persistence is greatest.
█ LIMITATIONS
This tool classifies the PRESENT. It does not predict the future, and any use of it as a forecast is a misuse.
• Regime identification is backward-looking by construction. The tool will confirm a regime change several bars AFTER it occurred. This lag cannot be removed without curve-fitting or repainting, and has not been.
• Classification is unstable near threshold boundaries; expect flickering between states when ER or volatility percentile sit close to the cut-offs.
• The percentile ranking requires substantial history. On assets with short histories, the ranking is unreliable and the tool should not be trusted.
• The base-rate table's early entries are built on fewer samples than its later ones — treat statistics as provisional until a state has accumulated a meaningful sample count.
• Four states is a deliberate simplification of a continuous reality. Markets do not actually occupy discrete regimes.
• This script does NOT repaint. All classification is computed on confirmed bar close only.
█ DISCLAIMER
For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any market regime does not indicate future results. Trade at your own risk.
Indikator
ICT Pulse - Bias & Stats DashboardICT Pulse — Bias & Session Dashboard
ICT Pulse is a dashboard-style indicator designed to summarize higher-timeframe context, session status, and liquidity conditions for discretionary ICT-style futures trading.
The script does not generate buy or sell signals. Its purpose is to organize market context into a compact dashboard so traders can quickly understand where price is trading relative to previous ranges and whether session liquidity has been taken.
How it works
ICT Pulse compares the current price to the previous daily, weekly, and monthly ranges. For each range, it calculates whether price is trading in premium or discount by measuring the current close relative to the prior high, low, and midpoint.
The dashboard then combines this higher-timeframe information with session conditions. It tracks the active Asia, London, and New York sessions, records each session’s high and low, and monitors whether those levels have later been traded through.
The confluence score is a simple context score, not a signal system. Bullish and bearish scores are built from five conditions:
* Daily range position
* Weekly range position
* Monthly range position
* Whether opposing-side liquidity has been taken
* Whether price is above or below the active session midpoint
For example, the bullish score increases when price is in premium on higher timeframes, when downside liquidity has been taken, and when price is holding above the current session midpoint. The bearish score uses the opposite conditions.
Main features
* Daily, weekly, and monthly bias summary
* Premium/discount status for previous daily, weekly, and monthly ranges
* Active session detection
* Current session range tracking
* Asia, London, and New York high/low sweep status
* Bullish and bearish confluence score
* Dashboard-only layout to reduce chart clutter
How to use it
ICT Pulse is best used as a market-context tool before looking for entries. A trader can use it to check whether higher-timeframe conditions are aligned, whether important session liquidity has already been taken, and whether the current session is supporting bullish, bearish, or neutral conditions.
Suggested workflow:
1. Check daily, weekly, and monthly bias.
2. Check whether price is in premium or discount.
3. Check whether Asia, London, or New York liquidity has been taken.
4. Compare the bullish and bearish confluence scores.
5. Use a separate execution model for entries, stops, and trade management.
This script is intended for educational and analytical use only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Futures and financial market trading involves risk.
Indikator
Bitcoin Almanac [WillyAlgoTrader]₿ Bitcoin Almanac is an overlay indicator that maps the entire Bitcoin macro landscape on one chart: a fixed-length cycle time model (bull/bear phases projected from a single anchor date), two hyperbolic curves fitted through historical cycle lows and cycle highs in log-price space, Fibonacci grids stretched between every macro pivot, halving markers, accumulation and distribution zones, and a hypothetical price path for the next bull leg — all summarized in a live dashboard with projected turn dates, curve prices, and historical correction depths.
The core insight: Bitcoin's completed cycles show a remarkably stable time rhythm (roughly 1064 days up, 364 days down) and a decelerating growth pattern that a hyperbola in log10(price) captures with surprisingly small error. Neither observation is a law of nature — but when the time model and the price curves are combined on one chart, they produce concrete, falsifiable reference points: a projected top date with a curve price, a projected bottom date with a curve price, and buy/sell zones derived from both. The indicator makes the whole framework explicit, configurable, and honest about its assumptions.
Everything is driven by dates and user-defined pivots — not by real-time price action — so nothing repaints: the lines you see today are the lines you saw yesterday.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A cycle-date model alone answers WHEN but not AT WHAT PRICE. A curve through historical lows answers WHERE support migrates but not WHEN price will meet it. Fibonacci retracements answer WHERE pullbacks tend to end, but only if you know which macro leg to anchor them to. Used separately, each tool leaves you guessing at the missing dimension.
Bitcoin Almanac chains them into one pipeline:
Cycle time model (anchor + phase lengths) → projected turn dates → hyperbolic lows/highs curves → curve price AT each projected date → Fibonacci grids between macro pivots → 0.786–0.836 accumulation zones bounded by cycle end dates → ±% distribution zones around each high → replayed bull-path projection between the two curve endpoints → dashboard synthesis
The time model supplies the X-coordinate of every future event. The two hyperbolas supply the Y-coordinate: the lows curve is evaluated exactly at the projected bottom date, the highs curve exactly at the projected top date — the "◎ cycle × curve" labels mark these intersections with date and price. The Fibonacci grids are then anchored to the same pivots the curves are built from, so the 0.786–0.836 buy zone of the current leg stretches in time precisely to the model's next cycle-bottom date. Finally, the projection module takes the two curve × date intersections as endpoints and fills the path between them by replaying the shape of the previous bull phase in log space.
No single component can do this: the intersection of an independent time model with an independent price model is what turns two vague trajectories into specific, checkable coordinates.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Fixed-rhythm cycle engine — pure time math, zero price input.
The phase of any bar is computed directly from calendar time:
daysSince = (barTime − anchor) / 86 400 000
phasePos = daysSince mod (bullDays + bearDays)
isBull = phasePos < bullDays
Defaults: anchor = 07 Nov 2022, bullDays = 1064, bearDays = 364 (each ≈ the average of the three completed BTC cycles). A true mathematical modulo (always ≥ 0) phases bars BEFORE the anchor correctly, so past cycles line up too. With defaults this reproduces the well-known projected dates: top ≈ 06 Oct 2025, bottom ≈ 05 Oct 2026. An alternative anchor (21 Nov 2022 — the actual lowest trade of the cycle) is documented right in the input tooltip and shifts the bottom to 19 Oct 2026.
Why this matters: because the phase depends only on time, the bull/bear background, turn lines and flip alerts are deterministic and cannot repaint — the model's claims are fully falsifiable in advance.
2️⃣ Hyperbolic curve through cycle lows — exact geometry or least-squares fit, with the error printed on the chart.
The lows model is log10(price) = a + b / (c − t), where t is days from the first pivot. The hyperbola has a vertical asymptote in the past and a horizontal asymptote in the future — it encodes decelerating growth, which a straight log-regression line cannot.
— With exactly 3 enabled lows (default: Aug 2015 ≈ $169, Dec 2018 ≈ $3 122, Nov 2022 ≈ $15 476) the three parameters are solved exactly — the curve passes through the pivots by construction. This is geometry, not statistics, and the label says so: "exact through 3 lows".
— With 4+ enabled lows (three optional early-history slots: 2011, 2013, 2015 are provided) the indicator switches to a least-squares fit: a coarse log-spaced search over 250 candidate asymptote positions, followed by a 200-step linear refinement around the best candidate. The curve label then reports the number of points and the RMSE in log10 units — the fit quality is never hidden.
A fit is accepted only if b > 0 and the asymptote c lies before the earliest pivot — degenerate solutions are rejected and the curve simply doesn't draw.
3️⃣ Second independent hyperbola through cycle highs.
The same model is fitted to cycle tops (defaults: Nov 2013 ≈ $1 238, Dec 2017 ≈ $19 700, Nov 2021 ≈ $69 000, Oct 2025 ≈ $126 200 — four points, so LS fit with visible RMSE). A fifth, disabled slot exists only if you want to force the fit through your own future target; you never need it for the projection, because the future top is marked automatically at the crossing of the highs curve with the projected top date.
Why two curves: lows and highs decelerate at different rates. Fitting them independently (instead of offsetting one curve) lets the model express a narrowing channel without assuming its shape.
4️⃣ "Cycle × curve" intersection labels — the model's testable predictions.
At the projected bottom date the lows curve is evaluated: ◎ label with date ≈ price. At the projected top date the highs curve is evaluated: ◎ label with date ≈ price. These two points are the indicator's headline output — a date AND a price for each future turn, derived from two independent models. Both curves extend beyond their intersection as dashed lines (lows: default 10 years, highs: 5 years) to show the long-term trajectory.
5️⃣ Macro Fibonacci grids with a time-bounded 0.786–0.836 accumulation zone.
All enabled lows and highs are merged chronologically; every leg between two pivots of opposite type receives a grid (low→high = bull grid, high→low = bear grid; same-type neighbours are skipped). Levels are fully user-defined (default: 0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1; values > 1 add extensions).
Two non-standard options:
— Log-scale interpolation : level price = 10^(log10(pA) + f × (log10(pB) − log10(pA))) — matches a fib tool drawn on a log chart. Off by default (arithmetic levels for a linear chart).
— Reverse mode (default ON): ratio 0 sits at the END of the leg, so on a bull leg 0.618 is the classic retracement below the high.
The 0.786–0.836 zone of each bull leg is highlighted as a "BUY ZONE" box — and here is the original part: the box stretches in time from the leg start to the end date of the cycle the leg belongs to (the next projected cycle bottom). Depth from the fib model, deadline from the time model — the zone is a rectangle in (price × time), not just a price band.
6️⃣ Distribution zones tied to the cycle skeleton.
Every enabled high gets a "SELL ZONE" box spanning high ± sellPct (default 5% → from high × 0.95 to high × 1.05). The time span runs from the LATER of (a) the latest enabled low before that high or (b) the model's cycle bottom immediately preceding it — so a projected 2029 high starts its zone at the projected Oct-2026 bottom, not at a 2022 pivot. If no enabled high exists in the upcoming cycle, a projected sell zone is created automatically at the highs-curve × projected-date crossing (duplicate-guarded within half a cycle).
7️⃣ Bull-path projection — fractal replay of the previous bull, rescaled in log space.
The path for the NEXT bull phase (with defaults: 05 Oct 2026 → 03 Sep 2029) is drawn between two model-derived endpoints: start = lows curve at the projected bottom, end = highs curve at the following projected top. Two shapes:
— Replay last bull (default): the log-price trajectory of the previous bull phase is recorded bar by bar (confirmed bars only, thinned to ≤ 400 samples for memory safety on intraday timeframes), then linearly rescaled: y(progress) = yStart + (ref(progress) − ref(0)) × (yEnd − yStart) / (ref(1) − ref(0)). The result keeps the timing character of the last cycle — early acceleration, mid-cycle chop, late blow-off — mapped onto the new endpoints.
— Log-linear : a straight line on a log chart between the endpoints. The replay mode automatically falls back to log-linear if the reference phase covers less than 90% of the bull duration.
The path is explicitly labeled "◇ PROJECTED PATH (hypothetical)" — it is a scenario generator, not a forecast.
8️⃣ Corrections table — every macro drawdown since 2014, including the unfinished one.
The dashboard lists every completed high → following-low leg between enabled pivots since 2014 as a % drop (e.g. 2017–2018: −84%). If the latest pivot is a high with no low after it, the current correction is projected : measured from that high to the lows-curve price at the next model bottom, and marked "(proj.)" in accent color. You always see how the ongoing decline compares with history.
9️⃣ Full-transparency dashboard with a phase gauge and next-leg scenario PNL.
Four toggleable sections: Cycle (phase, day X / Y, ██████░░░░ progress gauge), Projection (top and bottom dates with days-left counters and curve prices, plus the hypothetical PNL of the next bull leg: (topCurve / bottomCurve − 1) × 100% and the × multiple), Corrections (see 8️⃣), Ranges (nearest upcoming buy range = the 0.786–0.836 zone prices; nearest sell range = the ±% zone around the next projected high). The footer states the calibration chart (INDEX:BTCUSD · W · linear scale, with a live ✓ when you're on it), a timeframe warning, and the sample-size caveat "⚠ Sample size: 3 cycles" — the model's biggest limitation is printed on the chart itself.
🔟 Efficient, tick-stable rendering.
All drawings (500+ polyline points, fib grids, boxes, dashboard) are anchored to bar-open times and first-bar curve fits — nothing changes within a bar. A redraw gate rebuilds them once per new bar instead of on every real-time tick, and both curve fits run exactly once on the first bar. The chart stays responsive even with all modules enabled.
📐 HOW IT WORKS — CALCULATION FLOW
Step 1 — Parse pivots: on the first bar, all enabled lows and highs are converted to (days-from-first-pivot, log10(price)) pairs.
Step 2 — Fit the curves: each set is fitted to log10(price) = a + b/(c − t) — exact solve for 3 points, two-stage least-squares search for 4+. Fit validity is checked (b > 0, asymptote before the data).
Step 3 — Phase every bar: calendar-time modulo against the anchor determines bull/bear phase, day-in-phase, and the timestamps of the current, next bottom and next top.
Step 4 — Evaluate intersections: the lows curve at the projected bottom date and the highs curve at the projected top date become the model's price targets.
Step 5 — Record the reference bull: during the anchor cycle's bull phase, confirmed closes are stored as (progress, log10 price) — the shape later replayed by the projection.
Step 6 — Draw (once per bar): turn lines and labels for N past and M future cycles, both hyperbolas with dashed extensions, fib grids per alternating pivot leg, buy/sell zone boxes, halving lines (2012 / 2016 / 2020 / 2024 solid, Apr 2028 dashed "(est.)"), the projected path, the dashboard and the watermark.
Step 7 — Alert: on confirmed bars, phase flips and the pre-turn countdown fire alert() calls in text or JSON format.
📖 HOW TO USE
🎯 Quick start:
1. Open the INDEX:BTCUSD chart, Weekly timeframe, regular (linear) price scale — the model is calibrated there, and the dashboard shows a ✓ when the symbol and timeframe match (the scale must be checked manually — Pine cannot detect it).
2. Add the indicator. The green/red background immediately shows the model's current phase; the dashboard shows the day count and progress gauge.
3. Find the two ◎ labels — the projected bottom (orange, lows curve) and the projected top (red, highs curve). These are the model's date + price coordinates for the next turns.
4. Check the yellow boxes: BUY ZONE (0.786–0.836 of the current bull leg, extended to the cycle end date) and SELL ZONE (±5% around each high).
5. Create ONE alert with condition "Any alert() function call" to receive flips and the pre-turn countdown.
👁️ Reading the chart:
— 🟢 Green background = model bull phase; 🔴 red = bear phase
— Solid green verticals = cycle bottoms; dashed red verticals = cycle tops; future turns are labeled ★ PROJECTED and drawn brighter
— 🟠 Orange curve = hyperbola through cycle lows (solid to the projected bottom, then dashed extension)
— 🔴 Red curve = hyperbola through cycle highs (solid to the projected top, then dashed extension)
— Small circles = the exact pivots each curve is built from
— ◎ labels = cycle × curve intersections with date, ≈ price, and fit info (point count + RMSE, or "exact through 3")
— Fib grids between macro pivots: solid edges (0 / 1), dashed 0.5, dotted intermediate levels, price + ratio labels on the right
— 🟡 Yellow boxes = BUY ZONE (0.786–0.836, time-bounded by the cycle end) and SELL ZONE (±% around highs; "(proj.)" = auto-generated at the projected top)
— ⛏ Grey verticals = halvings; the 2028 line is dashed and marked "(est.)"
— 🔵 Blue dashed path = hypothetical next-bull trajectory with its ◇ end label
📊 Dashboard fields:
— Phase / Phase day / Progress : current model phase, day within it, and a 10-segment gauge
— Proj. top / Proj. bottom : projected turn dates, days remaining, and the curve price at each date
— Next leg PNL : hypothetical bottom→top move of the next bull leg in % and as a × multiple — a scenario, not a forecast
— Corrections : every completed macro drawdown since 2014 (high → following low, %), plus the unfinished one projected to the curve bottom and marked (proj.)
— Next buy range / Next sell range : the price boundaries of the nearest upcoming accumulation and distribution zones
— Footer: recommended chart check, timeframe warning, sample-size caveat, version
🔧 Tuning guide:
— Curve doesn't draw: fewer than 3 pivots enabled, or the fit was rejected as degenerate — enable at least 3 lows (or highs) with sensible dates/prices.
— You disagree with a pivot price: every pivot is an editable date + price input — correct it and both the curve and the fib grids rebuild instantly.
— Want dates matching the actual price low: switch the anchor to 21 Nov 2022 (documented in the tooltip); the projected bottom moves to 19 Oct 2026.
— Fib levels look wrong on a log chart: enable "Log-scale levels" (keep it OFF on the recommended linear chart).
— Chart feels crowded: disable individual modules (grids, zones, halvings, projection) or dashboard sections — every block has its own switch.
— Curious about 2030+: enable "Show 2nd projected cycle" for one more bottom/top pair (~Sep 2030 / ~Aug 2033) — off by default because those dates carry double model uncertainty.
💡 Trading ideas:
— Accumulation planning : scale into the 0.786–0.836 BUY ZONE while the model is in its bear phase; the zone's right edge tells you the model's deadline.
— Distribution planning : scale out inside the ±5% SELL ZONE as the projected top date approaches; the pre-alert (default 30 days) gives you a heads-up.
— Scenario testing : move pivots, change phase lengths, or force High #5 to your own target and watch how the whole framework (curves, zones, PNL) responds — the model is a sandbox, not an oracle.
⚙️ KEY SETTINGS
⚙️ Cycle Model:
— Anchor — cycle bottom (default 07 Nov 2022): date all phases are projected from; alternative 21 Nov 2022 documented in the tooltip
— Bull phase length (default 1064 days) / Bear phase length (default 364 days): ≈ averages of the 3 completed cycles
— Cycles to draw back (default 3) / forward (default 1): how many turn lines and labels are drawn
— Show 2nd projected cycle (default off): one extra bottom/top pair with doubled uncertainty
🎨 Visual Settings:
— Theme (Auto / Dark / Light): Auto detects from the chart background; all text colors adapt
— Phase background , Cycle turn lines , Turn labels , Watermark : independent toggles with color inputs
📊 Dashboard:
— Position (4 corners), font size (Small–Huge; dividers render one step smaller), and per-section switches: Cycle / Projection / Corrections / Ranges
📈 Hyperbola — Lows:
— 3 main cycle lows (2015 / 2018 / 2022, on by default) + 3 optional early-history lows (2011 / 2013 / 2015) — each is a checkbox + date + price
— Dashed extension (default 10 years), curve color, anchor-point markers
📉 Hyperbola — Highs:
— 4 cycle highs (2013 / 2017 / 2021 / 2025, on by default) + a spare projected slot (off), extension (default 5 years), curve color
🔢 Fibonacci Grids:
— Bull grids (default on) / Bear grids (default off) with separate colors
— Levels (default "0, 0.236, 0.382, 0.5, 0.618, 0.786, 0.836, 0.886, 1"; values > 1 = extensions)
— Highlight 0.786–0.836 zone (default on), Log-scale levels (default off), Reverse (default on), level labels
⛏ Halvings: lines + labels toggles, color
🟡 Sell Zones: toggle, color, Zone size % from high (default 5%)
🔮 Price Projection: toggle, Path shape (Replay last bull / Log-linear), color
🔔 Alerts: master switch, Webhook JSON Format (default off), Pre-alert days (default 30)
🔔 ALERTS
— 🟢 CYCLE FLIP → BULL — model bottom date reached; payload: ticker, timeframe, price, next projected top date
— 🔴 CYCLE FLIP → BEAR — model top date reached; payload: ticker, timeframe, price, next projected bottom date
— ⏳ CYCLE TURN APPROACHING — fires once, N days (default 30) before the next projected turn; payload: turn type (TOP/BOTTOM), days left, date
All alerts fire on confirmed bars only (once per bar close) and support both human-readable text and JSON webhook payloads for bot integration. Create a single alert with condition "Any alert() function call".
⚠️ IMPORTANT NOTES
— 🚫 No repainting. The cycle phase is pure calendar-time math against a fixed anchor; the curves are fitted once from user-defined historical pivots; the reference bull shape is recorded from confirmed bars only; all alerts use bar-close frequency. Nothing in the model reads unconfirmed real-time data, so no line, zone or label moves after the fact.
— 📐 Sample size: 3 completed cycles. Every statistical claim in this model rests on three observations. The hyperbolic fits are geometry/regression over 3–6 points. Treat all projected dates and prices as reference scenarios with wide error bars — the dashboard says "Rhythm ≠ law" for a reason.
— 📏 Calibrated chart: INDEX:BTCUSD, Weekly, regular (linear) price scale. Exchange charts start later and distort early-history fits. Keep the fib "Log-scale levels" input OFF on a linear chart. The dashboard's ✓ confirms symbol and timeframe; the scale must be checked manually.
— ⚖️ Scope: this is a macro-cycle framework for Bitcoin. It produces no intraday entry signals, no stop placement, and no position sizing. The projected path is explicitly hypothetical.
— 🛠️ This is a cycle-analysis and scenario-visualization tool, not an automated trading bot. It provides projected turn dates, curve-based price references, and accumulation/distribution zones — trade decisions remain yours.
— 🌐 The script runs on any symbol and timeframe, but the model is designed for Bitcoin on Daily/Weekly charts — a dashboard warning appears on intraday timeframes.
Bitcoin Almanac · v1.5.2 Indikator
Moving Averages TrendFour independently configurable moving averages (type, length, source, color each) let you build the classic multi-MA trend stack in one indicator — a long-term filter to define the overall regime, an intermediate MA for the broader trend, and a fast pair for tactical entries on pullbacks within it. Used purely as an overlay, this is a continuation tool: you only take trades in the direction the slower MAs already agree on, using the faster pair to time entries once price pulls back into alignment.
The MA3/MA4 cross-signal layer is what sets this apart from a plain crossover system. Instead of waiting for the two faster MAs to physically cross — which is already stale information by the time it happens — it takes each MA's recent slope and projects it forward by a configurable number of bars, firing the buy/sell label as soon as that projected path crosses rather than the actual one, giving you a signal a few bars earlier than a textbook crossover. A minimum-separation filter (scaled to ATR) throws out weak "touch and go" near-misses, and the signal only fires when price is already sitting on the correct side of both MAs and each MA is still actively moving in that direction on the current bar — all of which is meant to filter out low-conviction crosses in choppy conditions. An optional daily+-only restriction keeps the signal from firing on intraday noise for traders who only want to act on it at swing timeframes.
Best applied in trending or newly-trending markets, as a combined trend filter (from the 4 plotted MAs) and tactical entry trigger (from the cross signal) rather than as a mean-reversion tool — it has little to offer in a flat, range-bound market since the slope and separation conditions are designed specifically to avoid firing in that environment. Indikator
MHIDa Relative-Weakness vs BTCWHAT IT DOES
This indicator measures how much the asset on your chart is underperforming Bitcoin (or any reference symbol you choose) over a rolling window of bars. It plots the difference between the asset return and the reference return over the same window, in percent, in a separate pane. Values below zero mean the asset is weaker than the reference.
HOW IT WORKS
- It takes the asset return over the last N bars (default 10) and subtracts the reference symbol return over the same N bars. The comparison uses the just-closed bar (close versus close ), so the reading is based on completed bars.
- Relative weakness = (asset return - reference return) * 100.
- When this value drops below your chosen threshold (default 8%), the pane background is shaded: that is an excess-of-weakness zone.
- If, inside that zone, the current candle closes green (close above open), a small watch triangle prints at the bottom of the pane: the underperformance is extreme AND a first sign of stabilization has appeared. The marker draws only on standard chart types.
WHY THESE PIECES ARE TOGETHER
The shaded zone alone tells you the underperformance is extreme, but an extreme can keep getting worse. The green-candle condition adds the first hint that the fall against the reference is cooling off. Neither piece is a trade signal on its own; together they point at spots worth examining by eye.
HOW TO USE IT
Works on any symbol and timeframe. Inputs: reference symbol (default BTC), window length in bars, weakness threshold in percent, and whether to require a green candle before flagging. An optional alert fires on the flag - it is a reminder to go look at the chart, not an order.
HONEST LIMITS
This is a context tool, not a signal and not financial advice. It is not a winning system on its own. The decision, the context and the risk stay with you. Indikator
Opening Range Breakout ORB - Signals, Targets & Alerts [LunqFX]The Opening Range Breakout (ORB) is one of the most traded intraday strategies — but most ORB indicators only draw the opening range box and leave you guessing. This Opening Range Breakout indicator goes further: it marks the opening range, detects the first genuine breakout, filters fakeouts, projects measured-move targets, and — uniquely — builds a live breakout statistics engine from the last 100 trading days of the symbol on your chart.
What makes this ORB indicator different
Instead of a static box, you get a data-driven read on how your market actually behaves after the opening range:
First-break direction split — how often the day breaks up vs down
Hold rate — how often the first breakout direction holds into the close
Fakeout rate — how often the first breakout fails back inside the range
Target hit rates — how often price reaches 1x and 2x the opening-range height
So before you take the trade you can see, for example, that on this symbol the upside breakout holds into the close 62% of the time and the 1R target is reached on 48% of breakout days.
How the opening range breakout is calculated
Auto mode works on every market with zero setup. The opening range starts at each day's open of the symbol's own exchange — stocks at the 09:30 session open, crypto at the 00:00 UTC daily open, forex and futures at their session open — and lasts a chosen number of minutes (the classic 5-minute, 15-minute or 30-minute ORB). A Custom mode lets you define any session window, such as the London or New York open.
When the opening-range window closes, the range high and low are locked and projected forward as levels.
The first candle close beyond the range (or wick, if you prefer) is treated as the breakout. Targets are projected at 1x and 2x the range height in the breakout direction.
A close back inside the range before the first target is reached is flagged as a fakeout. A breakout that reaches 1R first and only then returns is counted as a valid breakout, not a fakeout.
At the end of each trading day the outcome is recorded — direction, hold, fakeout, targets — and the dashboard percentages are plain rolling hit rates. No repainting, no curve fitting.
How to use it
Breakout day trading: trade the first breakout with more context — use the hold rate to judge whether the break on your symbol is worth taking, and size your target from the 1R / 2R hit rates.
Fakeout fade: when a symbol shows a high fakeout rate, the failed breakout back inside the range is often the better setup; the fakeout is marked in real time.
Range-quality filter: the dashboard shows the opening range as a multiple of ATR, so you can skip abnormally small ranges that tend to break out randomly.
Works on any symbol and any intraday timeframe (1m–15m recommended): index futures and CFDs (NAS100, SPX500, US30, NQ, ES), stocks and ETFs (SPY, QQQ), gold (XAUUSD), Bitcoin and crypto, and forex majors.
Dashboard
A clean on-chart panel shows today's live status (building range → inside range → breakout → target hit or fakeout), the opening-range high/low and its size in ATR, and the full statistics block with the sample size always visible.
Settings
Auto anchor (any market, zero setup) or fully custom session window with timezone control — 5 / 15 / 30-minute ORB or any session open
Close-based or wick-based breakout logic
Adjustable target multiples, rolling statistics window, and visuals
Alerts for range locked, breakout up, breakout down, fakeout, target 1 and target 2
Optional gradient momentum candles that can be switched off
No repainting
The opening range is fixed the moment its window closes. Breakouts, fakeouts and targets are confirmed on closed bars only, and the statistics are built exclusively from completed trading days — never recalculated backwards.
This indicator is an educational market-analysis tool, not financial advice. Historical statistics describe past behavior and are not a guarantee of future results. Always confirm with your own analysis and manage your risk.
Indikator
Education Trend | Wizard AcademyEducativ Trend | Wizard Academy
educativ trend is an educational trend-reading module built to teach traders how to identify real market structure, understand trend direction, avoid weak market conditions, and recognize clean pullback locations.
the tool is designed for beginners who want a clear framework, but it also gives advanced traders a structured way to read price action without relying on emotion or random candle reactions.
the main idea is simple:
a trend is not a feeling.
a trend is not only price above or below a moving average.
a trend is a sequence of swing points.
an uptrend is confirmed by:
higher high + higher low
a downtrend is confirmed by:
lower high + lower low
anything else is treated as range, transition, or unclear structure.
main features
confirmed market structure
the indicator detects confirmed swing highs and swing lows, then classifies them as:
HH = higher high
HL = higher low
LH = lower high
LL = lower low
EQH = equal high
EQL = equal low
each swing label includes educational context so the trader can understand what happened and why it matters.
trend state engine
the trend state is decided from structure only.
uptrend = HH + HL
downtrend = LH + LL
range = mixed or unclear structure
this helps traders avoid the common mistake of forcing trend trades inside a range.
ema context
the tool includes two moving averages:
fast ema
slow ema
the slow ema is used as long-term bias.
the fast ema is used as short-term fair value and pullback context.
the moving averages are not treated as the trend definition. they are used as context around the real structure.
bos and choch
the indicator marks important structure breaks:
BOS = break of structure
CHoCH = change of character
a bullish BOS shows continuation above the last confirmed swing high.
a bearish BOS shows continuation below the last confirmed swing low.
a bullish CHoCH appears when a bearish structure is damaged by a break above the last swing high.
a bearish CHoCH appears when a bullish structure is damaged by a break below the last swing low.
pullback module
the tool highlights textbook pullbacks into the fast ema when trend structure and bias agree.
a long pullback setup can appear when:
structure is bullish
price is above the slow ema
price pulls into the fast ema
price closes back above the fast ema
the candle closes bullish
a short pullback setup can appear when:
structure is bearish
price is below the slow ema
price rallies into the fast ema
price closes back below the fast ema
the candle closes bearish
this helps beginners avoid chasing breakouts and focus on better trade locations.
projected swing levels
the last confirmed swing high and swing low can be projected to the right side of the chart.
these levels show what price needs to break next.
close above the last swing high can create bullish BOS or bullish CHoCH.
close below the last swing low can create bearish BOS or bearish CHoCH.
dashboard
the live dashboard gives a quick read of the current market state.
it displays:
trend structure
last swing high
last swing low
price vs slow ema
fast ema vs slow ema
fast ema slope
distance from slow ema
checklist quality
live coaching message
the first title row uses an orange accent for a clean institutional look.
lesson card
the lesson card gives a simple nine-rule framework for reading trends.
it teaches:
structure first
ema second
entry last
do not chase breakouts
pullbacks are cleaner locations
ranges are dangerous for beginners
invalidation matters
glossary card
the glossary card explains the main structure terms directly on the chart.
it includes:
HH
HL
LH
LL
BOS
CHoCH
EQH / EQL
golden cross
death cross
PB
each panel can be moved to different chart positions, including corners and middle placements.
how to use the indicator
step 1: read the trend state
start with the dashboard.
if the dashboard says uptrend, the market has confirmed HH + HL.
if the dashboard says downtrend, the market has confirmed LH + LL.
if the dashboard says range, the highs and lows do not agree.
beginners should avoid forcing trend trades when the dashboard shows range.
step 2: check the slow ema bias
look at price versus the slow ema.
price above the slow ema shows bullish long-term context.
price below the slow ema shows bearish long-term context.
the ema does not define the trend by itself, but it helps confirm whether structure and bias agree.
step 3: check the fast ema pullback zone
the fast ema acts like short-term fair value.
in a bullish trend, price often pulls back into the fast ema before continuing.
in a bearish trend, price often rallies into the fast ema before continuing lower.
the cleanest entries usually come after a pullback, not after chasing a breakout candle.
step 4: watch the last swing levels
the projected swing high and swing low show the next important structure levels.
if price closes above the last swing high, bullish structure is strengthened or a bearish trend is damaged.
if price closes below the last swing low, bearish structure is strengthened or a bullish trend is damaged.
step 5: use bos and choch correctly
BOS is usually continuation.
CHoCH is usually the first warning that a trend may be changing.
a CHoCH is not automatically an entry. it is a warning to stop blindly trading the old trend and wait for new structure.
beginner long example
1. the dashboard shows uptrend
2. the last structure is HH + HL
3. price is above the slow ema
4. the fast ema is above the slow ema
5. price pulls back into the fast ema
6. price closes bullish above the fast ema
7. the indicator marks a pullback long
8. risk can be planned below the most recent higher low
this is a cleaner long setup than buying after a vertical breakout.
beginner short example
1. the dashboard shows downtrend
2. the last structure is LH + LL
3. price is below the slow ema
4. the fast ema is below the slow ema
5. price rallies into the fast ema
6. price closes bearish below the fast ema
7. the indicator marks a pullback short
8. risk can be planned above the most recent lower high
this is a cleaner short setup than selling after a large breakdown candle.
how to read the checklist
the checklist gives a simple structure-quality score.
3 / 3 = textbook condition
2 / 3 = partial condition
1 / 3 = weak condition
0 / 3 = avoid
a textbook condition means structure, ema bias, and alignment agree.
a partial condition means the market is not fully aligned yet.
a weak condition means the setup is not clean.
best beginner settings
fast ema: 20
slow ema: 200
swing left bars: 5
swing right bars: 5
equal high/low tolerance: 0.05 × atr
show structure labels: on
show bos / choch: on
show pullbacks: on
show dashboard: on
show lesson card: on
show glossary card: on
for faster markets
reduce swing left/right bars to 3 or 4.
this creates faster structure detection, but it can also create more noise.
for cleaner structure
increase swing left/right bars to 7, 8, or 10.
this gives fewer swings, but the structure is stronger and easier to read.
tips
do not use moving averages alone as a trend definition.
do not buy only because price is above the slow ema.
do not short only because price is below the slow ema.
wait for structure confirmation.
avoid trading in the middle of ranges.
a higher high alone does not confirm an uptrend.
a lower low alone does not confirm a downtrend.
the best long setups usually come after a higher low.
the best short setups usually come after a lower high.
BOS confirms strength.
CHoCH warns that the previous trend may be damaged.
equal highs and equal lows often act as liquidity zones.
do not chase extended candles far away from the fast ema.
wait for price to return to value.
use the most recent HL or LH as invalidation.
alerts
available alerts include:
uptrend confirmed
downtrend confirmed
trend lost / range
bullish BOS
bearish BOS
bullish CHoCH
bearish CHoCH
textbook pullback long
textbook pullback short
golden cross
death cross
for cleaner alerts, use once per bar close.
important note
this tool is built as an educational structure-reading module.
it is designed to help traders understand trend logic, market structure, pullbacks, continuation, transition, and invalidation.
always use risk management, position sizing, and confirmation from your own trading plan.
Indikator
Breakout Confluence Score█ OVERVIEW
Breakout Confluence Score is an indicator designed to filter breakouts from consolidation by evaluating the overall market context before generating a signal.
The core assumption of the indicator is that not every breakout from consolidation has the same value. In practice, the success rate of a breakout depends on many independent factors such as market direction, trend strength, momentum, participant activity, and the quality of the consolidation itself.
Instead of treating every breakout equally, the indicator analyzes a series of independent market elements and assigns each of them a specific number of points. The final result creates the so-called Confluence Score — an assessment of how well multiple factors support a given breakout.
Only after reaching the minimum required score is a LONG or SHORT signal generated.
This approach significantly reduces the number of weak breakouts that appear during choppy price action, while still offering full configuration flexibility. Every scoring element can be individually enabled, disabled, or assigned its own point weight.
In addition to generating signals, the indicator also serves as a tool for ongoing market evaluation. The built-in scoring table shows the current status of all conditions even before a breakout occurs, allowing the trader to observe whether market conditions are gradually improving or deteriorating.
An integral part of the indicator is also the Signal Tester, which enables quick evaluation of the historical performance of the signals without the need to create a separate TradingView strategy. The tester was designed as a tool for assessing signal quality rather than as a full backtesting engine. This allows it to offer several capabilities that are difficult or impossible to achieve in classic strategies.
All modules of the indicator can operate independently, which means Breakout Confluence Score can be used as a simple breakout detector, a consolidation analysis tool, a market condition evaluation system, or a complete trade signal filter.
█ CONCEPTS
Most breakout indicators assume that every breakout from consolidation has similar chances of success.
In reality, the market does not work that way.
Price constantly moves through phases of trend, accumulation, distribution, and choppy movements without a clear direction. Two almost identical-looking breakouts can lead to completely different outcomes solely because of different market conditions.
That is why Breakout Confluence Score separates the signal generation process into two independent stages:
• detection of the breakout,
• evaluation of the quality of market conditions supporting that breakout.
A signal appears only when both conditions are met.
Building Consolidation and Boxes
The foundation of the indicator is automatic consolidation detection.
Consolidation begins when a defined number of consecutive candles remain inside the High-Low range of the base candle. The first candle that meets this condition defines the boundaries of the entire consolidation zone.
Its high becomes the upper boundary of the box, while its low defines the lower boundary. As long as every subsequent candle stays inside this range, the consolidation continues and the box is gradually extended to the right with each new candle.
As a result, a visual equilibrium zone appears on the chart, showing the area where neither buyers nor sellers have yet gained a clear advantage.
Consolidation ends in one of three cases:
• price breaks above the upper boundary of the box,
• price breaks below the lower boundary of the box,
• consolidation lasts too long and exceeds the maximum allowed number of candles.
Optionally, the indicator can also prevent a new consolidation from starting after a candle with an exceptionally large range. For this purpose, it uses ATR calculated before the analyzed candle, so a single large impulse cannot artificially inflate the volatility threshold and facilitate the creation of a new consolidation zone.
Why the Breakout Alone Is Not Enough
A breakout from consolidation does not automatically mean a good trading opportunity.
Very often breakouts occur:
• without clear momentum,
• against the dominant trend,
• on low volume,
• during a weak trend,
• without real buying or selling pressure.
Technically these are valid breakouts, but statistically their success rate tends to be much lower.
For this reason, the indicator does not evaluate only the fact of the breakout itself, but also the entire market environment in which it occurs. In practice, this means that two identical breakouts can receive completely different point scores. It is the scoring system that determines the quality of the signal.
Scoring and Market Context Evaluation
The purpose of scoring is to determine the current market situation as accurately as possible.
The breakout itself only informs that price has left the consolidation zone.
Scoring answers a much more important question:
“Does the market have sufficient conditions to continue the move after the breakout?”
Each scoring element analyzes a different aspect of market behavior.
Thanks to this, the final score is not based on a single indicator, but represents a combination of multiple independent sources of information.
EMA – Trend Direction
The Price vs EMA condition determines the dominant market direction.
If price is above the EMA, the LONG side receives an advantage.
If price is below the EMA, the SHORT side receives an advantage.
EMA is therefore responsible for identifying the dominant trend.
EMA Slope – Trend Development
The mere location of price relative to the EMA does not yet tell us whether the trend is developing actively.
That is why the slope of the average is also analyzed.
A rising EMA indicates a developing uptrend.
A falling EMA indicates a developing downtrend.
EMA Slope is responsible for assessing the quality and direction of trend development.
RSI – Momentum
RSI is used as a momentum indicator.
It is not used here to find overbought or oversold zones.
Its task is to assess which side of the market currently has greater strength.
RSI above 50 supports LONG signals.
RSI below 50 supports SHORT signals.
RSI is responsible for evaluating current market momentum.
ADX – Trend Strength
ADX measures the strength of the move regardless of its direction.
A high ADX value means the market is moving in a decisive and orderly manner.
A low ADX value indicates the lack of a clear advantage for either side.
ADX is responsible for assessing trend strength.
Volume – Market Participant Activity
Volume allows evaluation of whether increased participant activity stands behind the breakout.
Breakouts that occur on above-average volume are generally more reliable than breakouts that occur during low activity.
Volume is responsible for assessing market interest.
Body Size – Strength of the Breakout Candle
A large body of the breakout candle indicates a decisive advantage of one side of the market.
If the candle body is clearly larger than the average of recent candles, the breakout receives additional points.
Body Size is responsible for evaluating the strength of the breakout impulse itself.
Zone Tightness – Market Compression
Not all consolidations have the same value.
The narrower the box relative to the current ATR, the higher the probability that the market is in a compression phase preceding a stronger move.
Zone Tightness is responsible for assessing the quality and compression of the consolidation.
Duration Premium – Maturity of Consolidation
Longer consolidations often lead to more decisive breakouts.
Therefore, the indicator additionally rewards zones that have lasted for a sufficient amount of time.
Duration Premium is responsible for assessing the maturity of the consolidation.
Live Market Analysis
Scoring does not work only at the moment of breakout.
The scoring table analyzes all conditions in real time, even before a signal appears.
This allows the trader to observe how the market situation is changing and which side of the market is gradually gaining an advantage.
In practice, the indicator becomes not only a signal system, but also a tool for continuous evaluation of the current market environment.
Signal Tester
The Signal Tester was designed as a quick tool for evaluating the quality of generated signals.
It is not a full backtesting engine like TradingView Strategy and its results should not be treated as an accurate simulation of real trading.
A simplified operating model was deliberately used because it enables functionalities that are difficult or impossible to achieve in classic strategies.
The tester can simultaneously maintain multiple positions, manage LONG and SHORT trades independently, and — depending on the settings — allow simultaneous opening of positions in both directions. It can also block new entries until the previous position is closed or reject signals that appear too close to already open trades.
Each position receives its own Entry, Take Profit, and Stop Loss levels calculated based on ATR, which makes it possible to quickly compare different scoring configurations without building a full strategy.
The tester’s results are calculated conservatively.
If both the Take Profit and Stop Loss levels could have been reached during a single candle, the tester always assumes that the Stop Loss was hit.
Because the real sequence of price movements inside a single candle is unknown, this approach deliberately underestimates rather than overestimates the results. This effect becomes especially visible with small TP and SL distances, for example 0.5 ATR, where both levels can very often be reached within one candle. The smaller the TP and SL values relative to ATR, the more conservative the tester’s statistics will be.
The tester also does not account for commissions, spreads, or slippage. Therefore its results should be treated as a tool for comparing signal quality and optimizing indicator settings, not as an accurate simulation of real trading results.
█ FEATURES
Consolidation
* Minimum number of candles in consolidation – Minimum number of consecutive candles required to recognize a consolidation zone
* Show consolidation zones – Enables/disables drawing of consolidation boxes on the chart
* Show breakout signals – Enables/disables display of breakout signals (triangles and/or score labels)
* Remove box if breakout did NOT produce a signal (score < threshold) – Automatically removes the box if the breakout did not reach the minimum scoring threshold
* Display signals as – Choose signal display style: triangles only, labels only, or both
* Maximum number of candles in consolidation (0 = no limit) – Maximum duration of consolidation — after exceeding it the box is closed without generating a signal
Candle Size Filter
* Block consolidation start on oversized candle – Prevents starting consolidation after a candle with a very large range
* Max candle range (high-low) × ATR – Threshold for candle size (multiple of ATR calculated before the candle)
Scoring - General
* Minimum score for a signal (weighted sum) – Minimum required Confluence Score to generate a signal
Scoring - Candle Body
* Average body period – Period used to calculate average candle body size
* Signal body multiplier (body > avg × mult) – Multiplier for required body size of the breakout candle
* Condition weight: large body – Point weight of the large body condition
Scoring - ADX
* ADX — period (DMI) – Period of the ADX indicator
* ADX — minimum value – Minimum ADX value required to award a point
* Condition weight: ADX – Point weight of the ADX condition
Scoring - EMA
* EMA — period (trend) – Period of the EMA used for trend evaluation
* Condition weight: price vs EMA – Point weight of the price vs EMA condition
* Condition weight: EMA direction (slope) – Point weight of the EMA slope condition
Scoring - RSI
* RSI — period – Period of the RSI indicator
* Condition weight: RSI – Point weight of the RSI above/below 50 condition
Scoring - Volume
* Volume — average period – Period used to calculate average volume
* Volume — multiplier (vol > avg × mult) – Multiplier for required volume on breakout
* Condition weight: high volume – Point weight of the high volume condition
Scoring - Consolidation Structure
* Zone tightness: max (top-bottom)/ATR – Threshold for zone width relative to ATR (compression)
* Condition weight: zone tightness – Point weight of the zone tightness condition
* Premium: extra candles above minimum – Additional number of candles above minimum required for duration premium
* Condition weight: duration (premium) – Point weight of the duration premium condition
Table
* Table position – Position of the scoring table on the chart
* Table text size – Text size in the scoring table
Colors
* Bullish Color (Long) – Color used for LONG elements
* Bearish Color (Short) – Color used for SHORT elements
* Neutral Color – Color used for neutral elements / no signal
Signal Tester (TP/SL)
* Enable signal tester – Enable/disable the signal tester
* Tester — ATR period – ATR period used by the tester
* Tester — Take Profit × ATR – Take Profit distance in ATR multiples
* Tester — Stop Loss × ATR – Stop Loss distance in ATR multiples
* Block new signals while a position is open – Block new signals until the previous position is closed
* Block signals too close to an existing position – Filter for minimum distance between signals
* Min. distance between signals × ATR – Minimum distance (in ATR) between signals in the same direction
Signal Tester - Table
* Tester table position – Position of the tester statistics table
* Tester table text size – Text size in the tester statistics table
Signal Tester - TP/SL Visualization
* Show TP/SL levels on chart – Display Entry / TP / SL levels on the chart
* Level line width – Width of TP/SL level lines
* Show risk/reward zone fill – Fill color for risk and reward zones
█ APPLICATIONS
The main task of the indicator is to evaluate the quality of the breakout by analyzing the confluence of multiple independent market factors (trend direction and strength, momentum, volume, impulse strength, zone compression, and consolidation maturity). A LONG or SHORT signal is generated only when the total score exceeds the set threshold.
Thanks to this approach, the indicator effectively eliminates a large portion of weak and false breakouts that occur in low-confluence conditions.
The scoring table operates in real time — even before a signal is generated — and allows the trader to observe how a potential opportunity is gradually building up (or falling apart). This is especially useful for early detection of moments when the market begins to meet more and more conditions favorable for a breakout.
The built-in Signal Tester enables quick and convenient comparison of different scoring configurations without the need to write a separate strategy. It allows checking in just a few seconds how changing weights or thresholds affects the historical performance of the signals.
The indicator achieves the best results when used together with support and resistance zone analysis. For example, opening a long position directly under strong resistance is generally not advisable, while a long signal aligned with a support zone usually produces significantly better results. Similarly, short signals appearing near resistance tend to be more effective than those generated without reference to key levels.
The indicator works best when combined with support and resistance analysis.
█ NOTES
* Each of the eight scoring conditions can be independently enabled or disabled by setting its weight to 0.
* The scoring table shows the current market state in real time — it can be used even when signal generation is disabled.
* The Signal Tester operates in conservative mode: if both TP and SL could have been reached on the same candle, it always counts it as a loss. This approach deliberately underestimates results to provide a more realistic picture.
* The tester does not account for commissions, spreads, or slippage — it serves only for comparing signal quality and optimizing settings.
* All modules of the indicator (consolidation detection, scoring, table, tester, TP/SL visualization) can operate completely independently.
* Very long consolidations exceeding the “Maximum number of candles” limit are automatically closed without generating a signal to avoid outdated zones.
* The best results are achieved when the indicator is used together with support and resistance zone analysis. Long signals near support and short signals near resistance are generally significantly more effective. Indikator
Liquidity Rejection Auto TargetOverview
Liquidity Rejection Auto Target is a price action indicator designed to identify potential liquidity sweeps followed by rejection candles. The indicator automatically highlights possible long and short trading opportunities based on swing high and swing low liquidity concepts while plotting an entry level, stop loss, and a risk-reward based take-profit target.
This tool is intended to assist traders in identifying areas where price briefly moves beyond a recent swing level before returning back inside the range, which may indicate a rejection of that liquidity level.
How It Works
Bullish Setup
- Detects the most recent confirmed swing low.
- Waits for price to move below that swing low (liquidity sweep).
- Confirms the setup when the candle closes back above the swing low.
- Plots a BUY signal.
- Uses the rejection candle low as the Stop Loss.
- Calculates the Take Profit automatically using the selected Risk:Reward ratio.
Bearish Setup
- Detects the most recent confirmed swing high.
- Waits for price to move above that swing high (liquidity sweep).
- Confirms the setup when the candle closes back below the swing high.
- Plots a SELL signal.
- Uses the rejection candle high as the Stop Loss.
- Calculates the Take Profit automatically using the selected Risk:Reward ratio.
Features
• Automatic liquidity sweep detection
• Bullish and bearish rejection confirmation
• Automatic BUY and SELL signals
• Entry, Stop Loss, and Take Profit plotting
• Adjustable swing detection settings
• Configurable Risk:Reward ratio
• TradingView alert support
• Overlay display directly on the price chart
Inputs
Pivot Left / Right
Adjusts how swing highs and swing lows are identified. Larger values produce stronger but less frequent signals, while smaller values react more quickly to price changes.
Risk:Reward
Defines the automatic take-profit distance relative to the calculated stop-loss distance.
Best Practices
This indicator works best on liquid markets where swing highs and swing lows are clearly formed. Many traders use it together with higher-timeframe market structure, trend analysis, support and resistance, or volume confirmation to help filter potential trade setups.
Alerts
TradingView alert conditions are included for both BUY and SELL signals, allowing users to create notifications whenever a new setup is detected.
Disclaimer
This indicator is an analytical tool and should not be considered financial or investment advice. Market conditions vary, and no indicator can guarantee profitable trades. Always perform your own analysis, apply sound risk management, and test any trading strategy before using it in live markets. Indikator
Indikator
For-Loop Vote Trailing Stop | MiesOnChartsFor-Loop Vote Trailing Stop
Overview
For-Loop Vote Trailing Stop is a trend-following tool that combines two ideas: a multi-horizon momentum vote to decide the direction of the market, and an ATR-based ratcheting trailing stop to ride and eventually exit the move. Rather than judging momentum from a single lookback, it polls dozens of horizons at once and lets them vote; the winning side then sets a stop line that trails price and only flips when the opposite side wins the election.
The script plots as a single stop line that sits below price in an uptrend and above price in a downtrend, changing colour and side when the regime turns.
The script is designed and tuned for the 1D (daily) timeframe, though its inputs are fully adjustable for other timeframes.
The idea behind it
Momentum measured over one lookback is fragile: a 10-bar reading and a 60-bar reading frequently disagree, and whichever you pick can be caught out by the other's timescale. This indicator treats direction as an election across horizons instead of a single measurement.
For every horizon from the minimum to the maximum, it asks a simple yes/no question is price higher now than it was that many bars ago? Each horizon casts a vote of +1 (higher) or −1 (lower). Summing and normalising these votes produces a single momentum score between −1 and +1 that reflects how broadly the move is supported across timescales. A score near +1 means price is up over nearly every horizon (a broad, persistent advance); near −1 means the opposite; near 0 means the horizons are split and there is no coherent trend.
That breadth-of-momentum score is more robust than any one lookback because agreement across many horizons is harder to fake than a single reading, and disagreement is surfaced honestly as a neutral score rather than hidden inside one arbitrary length.
How it works
1. The vote
A for loop runs from Min Horizon to Max Horizon, comparing the source against its value "i" bars ago and adding +1 or −1 for each horizon. The total is divided by the number of horizons, giving a normalised score in the range .
2. The regime.
The score is compared against two thresholds:
-- If it reaches the Long Threshold, the regime turns long.
-- If it falls to the Short Threshold, the regime turns short.
-- Between the thresholds the current regime is held, the tool does not flip on marginal readings.
3. The trailing stop
An offset equal to ATR Multiplier × ATR is placed on the correct side of price:
-- On a fresh long signal the stop is set below price; while the long regime persists it only ever ratchets upward, locking in progress and never loosening.
-- On a fresh short signal the stop is set above price; while short it only ratchets downward.
-- The regime flips, and the stop jumps to the other side when the opposite threshold is met.
Because the stop can only tighten in the direction of the trend, it behaves like a one-way ratchet that follows favourable moves and holds its ground against pullbacks until the vote itself reverses.
Signal logic and markers
-- The stop line is green while the regime is long (plotted beneath price) and red while short (plotted above price).
-- A green up-triangle marks each flip to long; a red down-triangle marks each flip to short.
-- Two alert conditions, Vote Stop Long and Vote Stop Short, fire on those flips so the regime changes can be wired to TradingView alerts.
Inputs
-- Source : the price series the vote is measured on (default: hl2, the bar midpoint, which is slightly steadier than close).
-- Min Horizon / Max Horizon : the shortest and longest lookbacks in the vote. A wider span blends more timescales into the score.
-- Long Threshold : how strong the bullish vote must be to turn the regime long. Higher values demand broader agreement before committing.
-- Short Threshold : how weak (negative) the vote must be to turn the regime short.
-- ATR Length : the lookback for the Average True Range used to size the stop offset.
-- ATR Multiplier : how far the stop sits from price, in ATR units. Larger values give the trend more room to breathe (fewer, later exits); smaller values keep the stop tighter (quicker exits, more flips).
Note that the two thresholds are independent, so the tool can be set asymmetrically for example, requiring a stronger vote to enter long than to flip short, or vice versa to reflect a directional bias or differing conviction on each side.
How to use it
-- Trend direction and stop management : the line's side and colour give the current regime at a glance, while its level offers a systematic, volatility-scaled trailing reference that adapts as ATR expands and contracts.
-- Entries and exits : the flip markers indicate when broad momentum has changed sides; the trailing line indicates where that thesis would be invalidated.
-- Volatility awareness : because the offset is ATR-based, the stop automatically widens in turbulent conditions and tightens in calm ones, rather than using a fixed distance.
Notes and limitations
-- This is a reactive, trend-following tool. It follows momentum that is already underway and will change sides after a reversal has begun, not before it. It does not predict future prices.
-- In ranging or choppy markets the vote can oscillate around the thresholds, producing repeated flips ("whipsaw"). Wider horizon spans, more separated thresholds, and a larger ATR multiplier reduce this at the cost of responsiveness.
-- The stop is a calculated reference level, not a guaranteed exit price; actual fills depend on your broker, slippage, and market conditions.
-- There is no universally correct setting; the horizon range, thresholds, and ATR multiplier should be adjusted to the instrument and timeframe you trade.
Originality
This is not a standard ATR trailing stop or SuperTrend clone. The direction that governs the stop is not derived from a single moving average or band, but from a cross-sectional vote computed in a loop across many momentum horizons. The ensemble vote and the ratcheting ATR stop are combined into one tool: the breadth of momentum decides the regime, and the volatility-scaled stop expresses that regime as an adaptive, one-way trailing level.
Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice, nor a recommendation to buy or sell any asset. It is a decision-support tool, not a trading system, and the trailing stop it draws is a reference level, not an order or a guaranteed exit. Trading and investing carry substantial risk, including the possible loss of all capital. Past behaviour of any indicator or market is not indicative of future results, and no representation is made that its signals will be profitable. You are solely responsible for your own trading decisions and should conduct your own research and consult a licensed financial professional where appropriate. The author accepts no liability for any loss or damage arising from the use of this script. Indikator
Ha Smooth Scalperha smooth scalper
ha smooth scalper is a trend-following and scalping tool built around smoothed heikin-ashi logic, real structure trend locking, multi-timeframe confirmation, higher-timeframe filtering, protected structure levels, clean candle coloring, and a compact professional dashboard.
the goal of this indicator is to help traders stay with the real trend instead of reacting to every small candle color change.
in a strong bullish slope, the tool can keep the chart bullish until a real protected swing low is broken.
in a strong bearish slope, the tool can keep the chart bearish until a real protected swing high is broken.
this makes the trend view cleaner and helps reduce false flips during strong directional moves.
main concept
most candle-based systems change color too quickly.
a single weak red candle inside a strong bullish trend should not always mean the trend is bearish.
a single weak green candle inside a strong bearish trend should not always mean the trend is bullish.
ha smooth scalper solves this by combining:
smoothed heikin-ashi calculation
real structure lock
protected swing highs and swing lows
multi-timeframe agreement
extra higher-timeframe confirmation
trend cloud
optional smooth candle mode
professional dashboard
how the trend works
the indicator first builds smoothed heikin-ashi candles from the chart data.
then it uses a structure lock system to decide if the market is really bullish or bearish.
bullish trend
the market stays bullish while price respects the protected swing low.
small bearish candles inside the bullish slope do not automatically flip the trend.
the trend changes to bearish only when the protected support structure is broken.
bearish trend
the market stays bearish while price respects the protected swing high.
small bullish candles inside the bearish slope do not automatically flip the trend.
the trend changes to bullish only when the protected resistance structure is broken.
protected structure level
the protected structure line shows the key level that must break before the trend can truly change.
in a bullish trend, this level is usually below price.
in a bearish trend, this level is usually above price.
for beginners, this is one of the most important parts of the tool.
if the market is bullish and price stays above the protected structure, the bullish trend remains valid.
if the market is bearish and price stays below the protected structure, the bearish trend remains valid.
smooth lock candle mode
smooth lock candle mode is designed to keep chart colors aligned with the real structure trend.
when enabled:
bullish structure keeps candles bullish
bearish structure keeps candles bearish
minor counter-trend candles are ignored
color changes only happen after real structure breaks
this mode is useful for traders who want a cleaner trend view and fewer emotional exits.
multi-timeframe confirmation
the indicator includes six selectable timeframes.
each timeframe can be enabled or disabled.
the panel shows whether each selected timeframe is bullish or bearish.
the minimum timeframe agreement setting controls how many selected timeframes must agree before a signal is accepted.
example:
if six timeframes are enabled and the minimum agreement is set to three, at least three selected timeframes must agree with the signal direction.
higher values create fewer but cleaner signals.
lower values create more signals but with more risk of noise.
extra htf confirmator
the extra higher-timeframe confirmator is an additional filter designed to reduce weak buy and sell signals.
it can confirm direction using:
ema slope plus price
or heikin-ashi direction
when enabled, long signals require bullish higher-timeframe confirmation.
short signals require bearish higher-timeframe confirmation.
this is useful because many losing trades happen when lower-timeframe signals go against the larger trend.
signal logic
long signal
a long signal can appear when:
the structure flips bullish
enough selected timeframes agree
the extra htf confirmator agrees
the trend mode allows long entries
the impulse filter confirms body expansion
short signal
a short signal can appear when:
the structure flips bearish
enough selected timeframes agree
the extra htf confirmator agrees
the trend mode allows short entries
the impulse filter confirms body expansion
full confluence star
a star appears when all selected timeframes agree with the signal direction.
this is a stronger confluence condition, but it should still be used with proper risk management.
dashboard
the dashboard is designed to give a fast view of the market.
it shows:
chart trend
six timeframe directions
multi-timeframe agreement
extra htf confirmation
structure lock status
protected structure price
smooth lock candle state
last signal
the panel uses a clean grey professional style and can be moved around the chart.
how to use the indicator
step 1: check the chart trend
start with the first dashboard row.
if the chart trend is bullish, focus mainly on long setups.
if the chart trend is bearish, focus mainly on short setups.
beginners should avoid trading directly against the displayed structure trend.
step 2: check the protected level
look at the protected structure level.
in a bullish trend, this is the important level below price.
if price stays above it, the bullish structure remains valid.
in a bearish trend, this is the important level above price.
if price stays below it, the bearish structure remains valid.
step 3: check timeframe agreement
look at the six timeframe rows.
cleaner long conditions usually appear when most selected timeframes are bullish.
cleaner short conditions usually appear when most selected timeframes are bearish.
step 4: check the htf confirmator
if the extra htf confirmator is enabled, wait for it to agree with the trade direction.
bullish htf confirmation supports long setups.
bearish htf confirmation supports short setups.
step 5: wait for a signal
a long signal marks a bullish structure transition with confirmation.
a short signal marks a bearish structure transition with confirmation.
do not trade every signal blindly.
always check trend context, support and resistance, volatility, session timing, and risk placement.
beginner long example
1. chart trend is bullish
2. smooth lock candle mode shows bullish structure
3. most selected timeframes are bullish
4. extra htf confirmator is bullish
5. price holds above the protected structure level
6. a long signal appears
7. stop loss can be planned below the protected level or below a recent swing low
8. target can be based on resistance, previous high, or a fixed risk/reward plan
beginner short example
1. chart trend is bearish
2. smooth lock candle mode shows bearish structure
3. most selected timeframes are bearish
4. extra htf confirmator is bearish
5. price holds below the protected structure level
6. a short signal appears
7. stop loss can be planned above the protected level or above a recent swing high
8. target can be based on support, previous low, or a fixed risk/reward plan
important settings
pre-smooth length
controls the first smoothing applied to price before the heikin-ashi calculation.
lower values react faster.
higher values are smoother.
post-smooth length
controls smoothing after the heikin-ashi calculation.
higher values reduce noise and false movement.
lower values make the tool more reactive.
slow baseline length
controls the slow baseline used for trend context and pullback logic.
structure pivot strength
controls how strong a swing high or swing low must be before it can become a protected structure level.
lower values react faster.
higher values create stronger but slower structure levels.
structure break confirmation
close mode requires candle close beyond the protected level.
wick mode reacts faster but can be noisier.
structure break buffer
adds an atr buffer beyond the protected level before the structure is considered broken.
higher buffer creates fewer trend flips.
lower buffer creates faster flips.
minimum timeframes agreeing
controls how many enabled timeframes must agree before a signal is allowed.
higher values are stricter.
lower values are more aggressive.
extra htf confirmator
adds a higher-timeframe direction filter to help avoid weak lower-timeframe signals.
smooth lock candle mode
keeps the visible candle color aligned with the structure trend until a real structure break happens.
best beginner settings
for cleaner trend reading:
enable real structure trend lock: on
structure source: raw price
structure break confirmation: close
smooth lock candle mode: on
extra htf confirmator: on
use confirmed mtf candles: on
minimum timeframes agreeing: 3 or higher
glow baseline: off
confluence background tint: off
for faster scalping:
structure pivot strength: 6 to 8
minimum timeframes agreeing: 2 to 3
extra htf confirmator: on
smooth lock candle mode: on
for safer trend following:
structure pivot strength: 10 to 14
minimum timeframes agreeing: 4 to 6
extra htf confirmator: on
structure break buffer: higher value
alerts
the indicator includes alerts for:
long scalp
short scalp
full bull
full bear
structure bull break
structure bear break
for cleaner alerts, use once per bar close.
risk management
this tool helps identify trend direction and filtered signals, but risk management is still required.
before entering a trade, define:
entry
stop loss
target
position size
invalidated condition
a good signal without risk management can still become a bad trade.
final note
ha smooth scalper is designed to make trend direction cleaner, reduce false color flips, and help traders focus on higher-quality conditions using structure, smoothing, multi-timeframe alignment, and higher-timeframe confirmation.
Indikator
Opening Delta Supply Demand HybridOpening Delta Supply Demand Hybrid
This indicator combines Daily Supply and Demand zones, LVN confluence, Money Flow high-trade zones, and Opening Delta dominance pressure.
It detects important supply and demand areas from daily price and volume behavior. The zones stay active until price fully breaks them with a candle close. A supply zone is invalidated only when price closes above it, and a demand zone is invalidated only when price closes below it.
The Opening Delta model measures buyer and seller pressure from the session open. It tracks delta strength, dominance, RVOL, candle quality, superior delta, and dominance flips. If real volume delta is unavailable or returns zero, the indicator can use a candle-volume fallback to keep signals working.
BUY signals appear when price rejects a demand zone and Opening Delta confirms buyer strength. SELL signals appear when price rejects a supply zone and Opening Delta confirms seller strength. The indicator blocks signals when the global strength favors the opposite side.
It also includes a Money Flow High Trade Zone, which highlights the price area with the highest money flow activity from the daily profile.
Main features:
Daily Supply and Demand zones
LVN confluence
Money Flow high-trade zone
Opening Delta buyer/seller pressure
Dominance strength table
BUY and SELL confirmation arrows
Alerts for hybrid signals and delta conditions
Configurable filters for stricter or more aggressive signals
How To Use
Add the indicator to your chart and choose the market/session you trade.
Set the session start time to match your market open.
For example, US index futures usually use 9:30 New York time for the cash open.
Watch the supply and demand zones:
Demand zones are potential bounce areas.
Supply zones are potential rejection areas.
Zones remain active until price fully breaks them with a candle close.
Use the Opening Delta table to read market control:
BUYERS means buyer pressure is stronger.
SELLERS means seller pressure is stronger.
BALANCED means there is no clear dominance.
Look for confirmed signals:
A BUY signal appears when price rejects a demand zone and buyer pressure confirms the bounce.
A SELL signal appears when price rejects a supply zone and seller pressure confirms the rejection.
Avoid trading against the strength:
If price touches demand but strength favors sellers, the indicator blocks the BUY signal.
If price touches supply but strength favors buyers, the indicator blocks the SELL signal.
Use the Money Flow High Trade Zone as an important reaction area.
This zone shows where the highest money flow activity occurred in the daily profile.
Adjust the filters:
Use stricter settings for fewer but stronger signals.
Disable some confirmations for more aggressive signals.
Lower the cooldown if you want more frequent arrows.
Basic Rule
Buy only when price reacts from demand and Opening Delta supports buyers.
Sell only when price reacts from supply and Opening Delta supports sellers. Indikator
Edo Order BlocksEdo Order Blocks — Displacement-Detected Order Blocks Scored 0-100, with Active / Tested / Mitigated States and a Strongest-Block Panel
An order block is the last opposite candle before an impulse that breaks away from a level — the last bearish candle before a sharp move up, or the last bullish candle before a sharp move down. In the Smart Money Concepts approach, that candle marks a zone where institutional activity was left unfilled, so when price returns to it, it becomes a natural reference of supply or demand. The problem with most order block tools is that they draw every zone, cluttering the chart with references that never mattered. Edo Order Blocks takes the opposite approach: it scores each zone and draws only the ones that earn it.
Edo Order Blocks detects order blocks by displacement, scores each one from 0 to 100 on objective quality factors, filters out the weak ones, and tracks every surviving zone through its full life — from Active to Tested to Mitigated. Everything is validated on closed bars, so the indicator does not repaint. It is the order-block specialist of the Edolab structure family, designed to pair with Edo Smart Money Map, which maps the BOS / CHoCH structure around these zones.
DISPLACEMENT DETECTION
A new order block is triggered by a displacement: a confirmed candle that closes beyond the highest high (bullish) or lowest low (bearish) of the last N bars, in the direction of its own body. The Displacement Lookback input (10 by default) sets how many bars define that range. This impulse-based trigger captures the moment price breaks away with conviction, which is precisely when an order block is left behind. From the impulse, the indicator looks back up to the Origin Lookback (15 by default) to find the last opposite candle — the origin of the move — and draws the zone between its high and low.
THE QUALITY SCORE
Every candidate order block is scored from 0 to 100 before it is drawn, combining four objective factors: body strength (the candle's body relative to ATR), volume strength (volume relative to its 20-period average), displacement strength (how far the close pushed beyond the range, in ATR units), and trend alignment (whether the block sits on the right side of the EMA 50). Body and volume weigh 30% each, displacement and trend alignment 20% each. The Minimum Score input (40 by default) acts as a filter: only blocks that score at or above it ever reach the chart. Raise it to keep only the highest-conviction zones; lower it to see more. The score is printed on each block's label, so its quality is visible at a glance.
ORDER BLOCKS AND THEIR LIFE
Each drawn zone is a box between the high and low of the origin candle, labelled Bull OB or Bear OB with its score, extended to the right as a live reference. To keep the chart clean, only the most recent blocks per side are kept, up to Max Order Blocks per side (8 by default); older ones are removed as new ones appear.
THREE STATES: ACTIVE, TESTED, MITIGATED
Unlike a simple active/used flag, Edo Order Blocks tracks three states, evaluated on every closed bar. Active: a fresh zone price has not touched since creation — a solid box extending to the right. Tested: price has tapped the zone but not closed through it — the border turns solid and bold, marking that the zone has been challenged and held. Mitigated: price has closed through the zone — the box turns dashed, fades and stops extending, recording that the zone has been consumed. The Touch Mode input decides what counts as a test: Wick (default) marks it as soon as a wick reaches the zone, while Close requires a candle to close inside it. A bullish block is mitigated when price closes below its base; a bearish block, when price closes above its top. Each transition fires its own alert.
INFORMATION PANEL
The panel condenses the read into a compact table. It shows the number of active order blocks on each side, the Strongest OB — the highest-scoring active block, with its side, score and price level — and the active Minimum Score filter. The Strongest OB row is the quickest way to find the single zone the indicator rates highest right now. The panel sits in any of the four chart corners (Top Right by default), comes in three sizes (Tiny / Small / Normal) and two themes (Dark / Light), and can be hidden entirely.
NO REPAINTING
Displacement is validated on closed bars only, using the highest/lowest of completed candles offset by one bar, so a zone never appears or disappears intrabar. A wick that pierces a level but closes back inside generates nothing — the indicator waits for the close. This removes the false zones that clutter tools which react instantly, at the cost of confirming each block once the impulse has completed. There are no higher-timeframe functions: all logic runs on the current chart timeframe.
CONFIGURATION
The inputs are grouped by block. Detection sets the displacement lookback, the origin lookback and the minimum score. Order Blocks sets the maximum per side and the touch mode (Wick / Close). Style exposes the bull and bear colours, the zone opacity, whether the score is shown on the label, the label size and the Dark/Light theme. Panel controls panel visibility, position and size. The defaults are calibrated to work without adjustment on stocks, crypto, forex, indices and futures, on any timeframe — the only input most users tune is the Minimum Score, to make the indicator more or less selective.
ALERTS
Six predefined alerts cover the full life of a zone: New Bull OB and New Bear OB fire when a fresh order block above the score threshold is created; Bull OB Tested and Bear OB Tested fire when price first taps a zone; and Bull OB Mitigated and Bear OB Mitigated fire when price closes through a zone and consumes it. The new-block alerts flag fresh references, the tested alerts fire exactly when a zone is challenged, and the mitigation alerts mark when a reference is spent. All alerts fire on bar close, consistent with the indicator's anti-repaint validation.
HOW TO READ IT
A clean reading uses the score and the states together. High-score zones are the references worth watching: a Bull OB scored 80 sits on a strong-bodied, high-volume, trend-aligned impulse, a far more reliable demand zone than one scored 45. Watch the Active-to-Tested transition: when price returns to an active block and taps it, the zone is being challenged — the bold border marks the moment of reaction. A Tested block that holds and sends price away keeps its relevance; a Mitigated one has been consumed and steps aside. The Strongest OB panel row points to the single best active zone at any time, and pairing Edo Order Blocks with Edo Smart Money Map places these scored zones inside the broader BOS / CHoCH structure for full context.
OPEN SOURCE
Edo Order Blocks is published as a free open source indicator. The full Pine Script is publicly accessible on TradingView for study, adaptation and integration into any workflow. Part of the Edolab Markets free tools ecosystem alongside Edo Smart Money Map, Edo Liquidity Zones, Edo ZigZag Auto Fib SR, Edo Multi Stoch and more available on TradingView.
This indicator is a technical analysis tool for educational and informational purposes only. It does not generate automatic buy or sell signals and should not be considered financial advice. Trading financial markets involves significant risk of capital loss. Past performance does not guarantee future results. Always use proper risk management.
Indikator
Event Probability Engine [Quantum Algo]Event Probability Engine
====================================================
🔶 OVERVIEW
Event Probability Engine is a statistical probability indicator that answers one question at the close of every bar: based on the measurable conditions active right now, what is the historical probability that price closes higher one, three, and five days from today? Instead of subjective pattern reading, the script builds and maintains a live rolling database of forward returns conditioned on eighteen observable market events — day-of-week seasonality, oversold and overbought readings, volume spikes, streaks, range position, volatility regime, pivot touches, and an optional lunar control — then pools the currently active events into a single composite probability, displayed as a TODAY headline, a full per-event statistics table, and a shaded forecast cone projected on the chart.
It is designed for the daily timeframe. On other timeframes, the one, three, and five day horizons become one, three, and five bars.
🔶 WHAT IS AN EVENT STUDY?
An event study measures what a market historically did after a defined, observable condition occurred — for example, what happened over the next five days every time the Relative Strength Index closed oversold, or every Monday, or every time volume spiked two standard deviations above normal. This indicator runs eighteen such studies continuously, in real time, on the chart's own data, and keeps every study honest with the statistical safeguards described below.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. A live event database in Pine. Each of the eighteen events maintains its own rolling, capped sample of forward returns at three horizons, tagged with the market regime at the moment the event fired — a self-updating event-study framework, not a fixed backtest.
2. Shrinkage estimation. Every win rate is pulled toward fifty percent by a configurable number of pseudo-samples. An event with fifteen samples cannot display an extreme probability, because fifteen samples cannot justify one.
3. Overlap correction. State-based events (for example, an oversold reading persisting for a week) generate autocorrelated, overlapping samples that inflate apparent sample size. The effective sample size is deflated by the horizon length before any confidence calculation.
4. Wilson score bounds. Next to each five-day win rate, the table shows the Wilson confidence lower bound computed on the corrected sample size — the number an event must clear before its edge deserves trust, not its raw point estimate.
5. Regime conditioning with fallback. When enough samples exist in the current regime (bull or bear, defined by the two-hundred period exponential moving average), statistics are computed on regime-matched samples only, marked ® in the table. A bear-market Thursday is not assumed to behave like a bull-market Thursday.
6. Quality-weighted log-odds pooling. Active events are combined by weighted log-odds — a method related to Bayesian evidence combination — rather than naive win-rate averaging, so one strong, well-sampled edge is not diluted by three weak ones.
7. A built-in falsification control. Lunar phase events are included deliberately so the engine can audit a popular claim empirically: if full and new moons carry no edge, their quality scores sit near zero and they contribute nothing to the composite. A probability framework should be able to demonstrate which inputs fail, not only which appear to work.
🔶 HOW IT WORKS
Event detection: On every bar close the script evaluates all eighteen conditions — Monday through Friday, adaptive or fixed oversold and overbought thresholds, volume z-score spikes, up and down streaks, range-low and range-high position, volatility expansion and compression by percentile rank, confirmed pivot support and resistance touches within an Average True Range distance, and the optional lunar events.
Database recording: Whenever an event was active one, three, or five bars ago, the realized forward return is stored in that event's arrays, first-in-first-out at a configurable cap, together with the regime tag from the moment the event fired.
Per-event statistics: The table reports, for every event, the shrinkage-adjusted win rate at each horizon, the Wilson lower bound, sample count, average forward return, profit factor, a zero-to-one-hundred quality score blending edge magnitude, sample sufficiency, and recent consistency, and the resulting directional bias.
Composite probability: Active events passing the minimum-sample filter are pooled by quality-weighted log-odds into the TODAY headline (next-day probability of an up close with a visual meter), the one, three, and five day composite row with expected returns and a strength grade, and a projected forecast path with a shaded plus-and-minus one standard deviation cone drawn from the current close.
Chart layer: Optional regime background tint, the regime line, live pivot support and resistance rails with prices, and historical event markers on the candles so past occurrences of every event can be reviewed directly on the chart.
🔶 HOW TO USE IT
1. Apply it to a daily chart of any liquid symbol — cryptocurrency, stocks, indices, forex, gold, futures. Let it load its history; sample counts grow with available bars.
2. Read the TODAY headline first: the next-day probability, the meter, and the expected one-day return.
3. Scan the table for the highlighted rows — those events are active right now. Judge each by its Wilson lower bound and quality score, not the raw win rate.
4. Use the composite row and forecast cone as context: STRONG requires both a meaningful probability distance from fifty percent and high average quality.
5. Treat readings near fifty percent as exactly what they are: weak evidence. This engine is intentionally built to display small honest numbers rather than large misleading ones.
6. Combine with your own analysis — the engine measures conditional history; it does not know tomorrow's news.
🔶 SETTINGS
- Database: sample cap per event, minimum samples for composite inclusion, minimum regime-matched samples, shrinkage strength.
- Events: oscillator length and thresholds (fixed or adaptive percentile), volume z-score, streak length, range lookback, pivot lookback and touch distance, lunar events on or off.
- Statistics: Wilson z-score (default 1.645, a ninety percent one-sided bound).
- Display: dashboard position and five text sizes, forecast cone, regime tint, regime line, pivot rails, candle markers.
🔶 ALERTS
- Composite Bias Change — fires once per bar close whenever the five-day composite bias flips state, with the current one-day and five-day probabilities in the message.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? Statistics are recorded and evaluated on closed bars, and pivot events use confirmed pivots with their standard confirmation lag. The dashboard and forecast update on the live bar by design, as a dashboard should.
Why do most probabilities sit near fifty percent? Because genuine conditional edges in daily data are small, and the shrinkage and overlap corrections are built to say so. Extreme displayed probabilities on thin samples are the signature of a dishonest tool.
What does the ® mark mean? That event currently has enough regime-matched samples, so its statistics are computed only from the current bull or bear regime rather than the full history.
Why are moon phases in a statistics tool? As a falsification control. The engine should be able to show which inputs carry no edge — and the user can watch it do exactly that.
Can I use it intraday? Yes, but the horizons become bars instead of days, and day-of-week events lose their meaning. The design intent is the daily timeframe.
🔶 CREDITS
This script stands on standard, publicly documented statistical methods, gratefully credited: the Wilson score interval by Edwin B. Wilson (1927), Laplace-style shrinkage estimation, and the event-study methodology long established in quantitative finance. Their combination into a live, regime-conditional, overlap-corrected event database with quality-weighted log-odds composite pooling, implemented entirely in Pine Script with capped arrays and user-defined types, is original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Probabilities derived from historical conditioning are estimates, not guarantees, and conditional edges in daily data are typically small. Sample databases need history to mature; young charts produce thin, heavily shrunk statistics by design. Day-of-week events assume a five-day session calendar. Regime conditioning depends on the two-hundred period regime definition. This is a research and confluence tool, not a standalone trading system.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past statistical behavior does not assure future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indikator
Dynamic MSS Navigator [MarkitTick]💡 An advanced technical analysis tool engineered to automatically identify localized market structure, validate structural shifts, and dynamically generate risk-to-reward parameters. Built for systematic traders, it continuously scans price action to pinpoint candidate highs and lows based on user-defined lookback periods. Rather than relying on subjective charting, this indicator applies stringent mathematical logic—incorporating Average True Range (ATR) buffers, volume participation, and higher timeframe (HTF) alignment—to filter out market noise and present high-probability structural breaks. Once a valid break occurs, the indicator seamlessly transitions into trade management mode, drawing precise entry, stop-loss, and multiple take-profit levels directly onto the chart, accompanied by a comprehensive real-time data dashboard.
✨ Originality and Utility
● Automated Market Structure Mapping
The core utility of this indicator lies in its ability to remove human bias from market structure analysis. Traders often struggle with defining which highs and lows are structurally significant. This script mathematically defines them, tracking the absolute highest highs and lowest lows over a rolling window, and only recognizing a structural shift when a mathematically validated threshold is breached.
● Dynamic Risk-to-Reward Modeling
Unlike standard indicators that only print buy or sell arrows, this tool instantly calculates the exact risk parameter upon signal generation. By anchoring the stop-loss to the structural pivot with a built-in volatility buffer, it sizes the risk logically. It then extrapolates multiple take-profit targets based on fixed risk-to-reward ratios, providing a complete trade framework from inception to completion.
● Multi-Dimensional Filtering Mashup
This script operates as a highly cohesive mashup of distinct technical methodologies. It combines Donchian-style localized pivot detection for structure, Wilder’s Average True Range for volatility-based breakout validation, Simple Moving Averages of volume for participation measurement, and multi-timeframe security requests for overarching trend alignment. This combination ensures that a signal is only fired when price action, volatility, volume, and higher timeframe momentum are in total agreement.
🔬 Methodology and Concepts
● Localized Pivot Identification
The script continuously monitors the highest highs and lowest lows over a defined lookback period. When a new top is formed, it identifies the lowest point of that peak structure as the "Candidate Top Low." Conversely, when a new bottom forms, it marks the highest point of that valley structure as the "Candidate Bottom High." These form the immediate structural floors and ceilings.
● ATR-Buffered Breakout Logic
To confirm a shift, price must do more than just tick past the candidate line. The indicator requires price to breach the candidate level by an additional margin, calculated as a fraction of the current ATR. This ensures that only shifts with statistically significant momentum trigger a signal, heavily reducing false positives (fake-outs) during low-volatility chop.
● Composite Strength Scoring
Upon signal generation, the algorithm calculates a proprietary "Strength Score" from 0 to 100. This score is a weighted aggregate of three factors:
The distance of the closing price beyond the breakout threshold (measuring immediate momentum).
The current volume relative to its moving average (measuring market participation).
The alignment of the localized pivot with the higher timeframe pivot (measuring macro confluence).
● Dynamic Bias Tracking
The indicator tracks the ongoing market bias, classifying it as bullish, bearish, or neutral. A bullish bias is initiated upon a valid bottom break and remains intact until price breaches the newly established stop-loss level, at which point the bias flips or neutralizing protocols take over.
🎨 Visual Guide
● Chart Elements
• Candidate Lines
Dashed Red Lines indicate the support floor of a localized top. Dashed Green Lines indicate the resistance ceiling of a localized bottom. These project forward to show the exact price level that must be broken.
• Signal Markers
When a structural shift is validated, a solid Red Triangle appears above the bar for a bearish shift (labeled "BEAR"), and a solid Green Triangle appears below the bar for a bullish shift (labeled "BULL"). Small "+" cross icons appear for continuation signals where the trend is reinforced.
• Trade Projection Lines
A solid Red Line marks the calculated Stop Loss level. A dashed Blue Line marks the exact Entry Price. Dashed Teal Lines of varying opacities mark Take Profit 1 (TP1), Take Profit 2 (TP2), and Take Profit 3 (TP3).
• Zonal Fills
A semi-transparent Red Background fill connects the Entry line to the Stop Loss line, visually representing the initial capital risk. A semi-transparent Green Background fill connects the Entry line to the final TP3 line, representing the total projected reward zone.
• Heatmap Candles
The indicator takes control of the underlying candlestick colors to reflect the current structural bias. Deep Teal candles indicate an active bullish trend, Deep Red candles indicate an active bearish trend, and Gray candles indicate a neutral market state where structural direction is unresolved.
● Dashboard Readouts
A highly detailed heads-up display is rendered on the chart, featuring a dark background with bright, contrasting text. It provides rows of vital data including:
Last Signal and Trend State (e.g., HH-HL Up).
Candle Bias and a visual bar chart representing the Strength Score.
Confirmed Signal Count and Bars Since the Last Signal.
Active Position status, Entry Price, and Stop Loss Price.
Dynamic tick boxes for TP1, TP2, and TP3 displaying price levels and completion checkmarks.
Real-time Floating P/L (Profit/Loss) expressed in 'R' multiples.
Current ATR values and Volume vs Average visual bar meters.
Current state of Session and HTF filters.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
● Signal Execution
Traders should monitor the formation of the dashed candidate lines. When a breakout occurs, do not act prematurely; wait for the candle to close (if "Confirm by Close" is active) and ensure the primary signal triangle prints. This confirms that all volume and volatility parameters have been met.
● Assessing Trade Quality
Immediately consult the dashboard's "Strength Score." Higher scores (e.g., above 75%) indicate robust volume participation and excellent higher timeframe alignment, making them higher probability setups. Lower scores may warrant reduced position sizing or skipping the setup entirely.
● Trade Management
Utilize the dynamically plotted lines to set limit orders and stop losses in your execution platform. As price reaches TP1 and TP2 (indicated by checkmarks on the dashboard), consider trailing the stop loss to breakeven or the next logical structure point. If the candle heatmap shifts to gray (neutral) before reaching targets, it may be a prudent early exit warning.
⚙️ Inputs and Settings
● Core Settings
Lookback: Defines the number of bars used to identify localized tops and bottoms. Higher values find macro structures; lower values find micro structures.
Confirm by Close: Toggles whether the breakout must be confirmed by the candle's closing price or just the wick.
ATR Len & ATR Break Mult: Controls the volatility buffer required to validate a breakout.
● Filters
Volume Confirm: Requires breakout volume to exceed the moving average multiplied by the "Vol Spike Mult".
HTF Confluence: Restricts signals to those that align with the high/low structure of the user-defined Higher Timeframe.
Session Filter: Restricts signal generation to a specific daily time window (e.g., standard market hours).
● Trade Tools
TP1, TP2, TP3 R:R: Defines the static Risk-to-Reward multipliers for the take profit targets.
SL ATR Buffer: Adds additional breathing room to the stop loss beyond the absolute structural pivot.
● Visuals & Dashboard
Allows the user to toggle the display of candidate lines, heatmaps, and the main data dashboard, as well as reposition the dashboard to any corner of the screen.
● Alerts
Customizable string inputs for JSON payload generation, allowing traders to map long, short, close, trail, and target-hit actions directly to automated execution systems.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Dow Theory and Structural Extremes
The foundational logic of this script is rooted in classical Dow Theory, which posits that a trend is defined by a sequence of higher highs and higher lows (bullish) or lower highs and lower lows (bearish). By mathematically indexing `highestbars` and `lowestbars`, the script algorithmically isolates these fractal extremes, stripping away subjective human interpretation of market swings.
● Volatility-Normalized Breakout Thresholds
Financial markets are noisy, characterized by frequent false breaks (liquidity sweeps). This indicator employs Average True Range (ATR), a metric developed by J. Welles Wilder, to normalize the breakout threshold against current market volatility. By requiring price to exceed a structural level by a factor of the ATR, the algorithm relies on statistical significance—demanding that the breakout possesses enough standard deviations of momentum to be classified as a genuine shift in supply and demand, rather than random market drift.
● Volume Participation Theory
Drawing on Volume Price Trend (VPT) mechanics, the algorithm recognizes that price movement without volume is highly suspect. The implementation of a volume moving average filter ensures that structural breaks are validated by a true influx of market participation, confirming that the imbalance between buyers and sellers is robust enough to sustain a new directional vector.
● Automated Expected Value (EV) Projection
By mechanically tying the entry price to a mathematically defined stop-loss, and extrapolating predetermined Risk-to-Reward targets, the script enforces strict expected value mechanics. This removes emotional profit-taking, ensuring that winning trades scale out at mathematically optimal R-multiples (e.g., 1R, 2R, 3R), aligning the trader's execution with positive expectancy mathematical models over a large sample size of trades.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indikator
Rally Leader Screener (2x Market)Rally Leader Screener (2x Market) — with Resisting-Weakness Flag
What it does
This indicator is built for the Pine Screener and identifies stocks demonstrating institutional-grade relative strength in two distinct market regimes:
Rally Leaders — After a market correction, the first stocks to rally 2x (or more) the index's move during the initial 6–7 session bounce are frequently the emerging leaders of the new uptrend. This tool automates that measurement: it pulls the benchmark index return over your chosen lookback window and flags any stock whose return is at least a user-defined multiple of the index return.
Resisting Weakness — When the market is flat or declining over the lookback window, the "Leader" logic correctly stays silent (there is no rally to lead). Instead, a second flag identifies stocks that are rising strongly despite market weakness — a classic early sign of accumulation and often the leader list of the next cycle.
Concept
The methodology draws on well-known momentum research (O'Neil, Minervini): true market leaders declare themselves in the first days of a new rally by outrunning the index by a wide margin, and/or by refusing to decline while the broad market corrects. This script quantifies both behaviors.
Screener columns
Stock Return % — the stock's return over the lookback window
Nifty Return % — the benchmark's return over the same window (default NSE:NIFTY, changeable to any index)
RS Multiple — stock return ÷ index return; shown only when the index return is positive (a ratio against a negative or near-zero denominator is meaningless, so it displays blank)
Leader — 1 when the index return is positive AND the stock's return ≥ (multiple × index return), plus liquidity/trend filters
Resisting — 1 when the index return is ≤ 0 AND the stock is up by at least the user-set minimum, plus the same filters
Ret Spread % — stock return minus index return; an all-weather relative-strength column that remains valid in up, down, and flat markets, useful for sorting when RS Multiple is blank
Inputs
Rally lookback (sessions): default 7 — match this to the actual length of the bounce
Leadership multiple: default 2.0 (the "2x the market" rule)
Benchmark index: default NSE:NIFTY; set to any index matching your watchlist universe
Minimum price and 20-day average volume: liquidity filters
Optional filters: close above 50 SMA, and up-day requirement
Resist flag minimum return %: threshold for the weak-market flag (default 5%)
How to use
Add the script to favorites, open Pine Screener, and select a watchlist (e.g., a broad index universe).
During/after a 6–7 day market rally: filter Leader == 1, sort by RS Multiple descending, and save the top names as a fixed watchlist. The intended workflow is to trade setups only within that list for the following weeks rather than re-scanning continuously.
During corrections or flat markets: filter Resisting == 1, sort by Ret Spread % descending, to build a pre-watchlist of stocks under accumulation.
Names appearing on both lists across a correction→rally sequence historically carry the highest leadership probability.
Notes
Designed for the daily timeframe.
This is a screening/ranking tool, not a buy/sell signal generator. Entries and exits should be based on your own setup criteria and risk management.
Works on any market — change the benchmark symbol to match (e.g., SPX for US stocks). Indikator
