ISV-200 - PRO
The indicator automatically finds peaks or troughs in combination with Bollinger Bands and MACD divergence to enable entry points.
Indicator
Buy
Pro Levels & Zones [MTE]Pro Levels & Zones
An intraday futures overlay that combines pivot-based supply and demand zones with multi-session key levels and a confluence-based signal filter. The core idea is that zones alone generate too many potential entries — by requiring alignment across multiple independent factors before labeling a zone touch, the indicator filters out low-conviction setups and highlights where several references converge.
HOW IT WORKS
Supply & Demand Zone Detection
Zones are built from 60-minute pivot highs and pivot lows using a 3-bar left / 3-bar right pivot structure. When a pivot high is confirmed, the area between the candle's high and the top of its body becomes a supply zone (red). When a pivot low is confirmed, the area between the candle's low and the bottom of its body becomes a demand zone (green). Zones extend forward in real time and are automatically removed when price closes beyond the zone boundary or when the zone exceeds a configurable age limit (default: 500 bars). Only the 3 most recent zones per side are kept to avoid chart clutter.
Confluence Scoring (signal filter)
When price enters a fresh (unused) zone, the indicator checks up to 5 independent factors before printing a signal:
1. Volume delta direction — estimated from the bar's close position within its range. A buy signal requires positive delta; a sell signal requires negative delta.
2. VWAP proximity — whether price is near the session VWAP (within 0.15% of current price).
3. Key level proximity — whether price is near a relevant prior-session level (PDH, PDL, PMH, PML).
4. POC proximity — whether price is near the intraday volume Point of Control.
5. VWAP trend bias — whether price is on the "right side" of VWAP for the signal direction (buy below VWAP, sell above).
Each matching factor adds 1 to the score. The signal label displays the count (e.g., "Buy 4/5") so traders can see at a glance how many factors aligned. A configurable cooldown (default: 12 bars) prevents repeated signals in the same area. An additional filter requires bearish candle close for sells and bullish candle close for buys.
Note: The confluence score is simply a count of how many factors happen to align at the moment of zone contact. A higher count does not predict or guarantee a successful trade. It is a filtering tool, not a performance metric.
SESSION LEVELS & KEY LEVELS
The indicator tracks and displays levels from multiple sessions:
- London session high/low — plotted as live-updating steplines during the session, then held after session close.
- Asia session high/low — same behavior, off by default.
- Key levels drawn as dashed horizontal lines: Previous Day High/Low/Close (PDH/PDL/PDC), Pre-Market High/Low (PMH/PML), Previous Week High/Low (PWH/PWL), Overnight High/Low (ONH/ONL), and the RTH Opening Print. All are off by default and individually toggleable.
Previous day and week values use request.security() with a offset and lookahead_on, which is the standard method to reference the prior completed period without future data leakage.
ADDITIONAL TOOLS (all off by default)
- VWAP — standard session-anchored VWAP using ohlc4 as source.
- POC — intraday volume Point of Control calculated by distributing each bar's volume into a 100-bin histogram across the RTH price range, then finding the bin with the highest accumulated volume. Resets daily.
- Fair Value Gaps — bullish and bearish imbalances detected when a gap exists between bar 's low and bar 's high (or vice versa), filtered by a minimum percentage size (default: 0.15%). FVGs auto-expire after 40 bars. Maximum 6 active FVGs.
- Opening Range — plots the RTH opening range as a box (15 or 30 minute, configurable). Extends through the session.
WHY THIS COMBINATION
Most zone-based approaches generate signals every time price touches a zone, regardless of context. This indicator addresses that by requiring zone contact AND directional volume AND candle confirmation before printing anything, then layering additional context (VWAP, key levels, POC) as a visible confluence count. The result is fewer signals that occur only at zones where multiple independent references happen to converge.
The session levels (London, Asia, pre-market, overnight) are included because futures often react at session boundaries, and having them as toggleable overlays avoids needing separate indicators cluttering the chart.
HOW TO USE
1. Apply to a 1-15 minute intraday futures chart (defaults tuned for NQ on 5 min).
2. Adjust "Min Zone Size" for your instrument (NQ: 20-50 pts, ES: 5-15 pts).
3. Watch for Buy/Sell labels at zone touches. Higher confluence counts (4/5, 5/5) mean more factors aligned — use your own judgment on whether the context supports a trade.
4. Toggle key levels on/off depending on which session references matter to your trading approach.
5. All features are independently toggleable. Start with zones + signals, then add levels as needed.
DEFAULT SETTINGS
- Zones: ON, min size 20 pts, max age 500 bars
- Signals: ON, cooldown 12 bars, volume delta confirmation ON
- London session levels: ON
- All other levels and tools: OFF
LIMITATIONS
- Volume delta is estimated from bar close position within range — it is not true order flow data.
- POC uses a 100-bin histogram which is an approximation, not tick-level volume profile.
- Confluence scoring counts factor alignment but does not predict outcomes. Past confluence patterns do not guarantee future results.
- Zone detection has a 3-bar lag due to pivot confirmation.
- Designed for futures instruments. Adjust zone size settings for other markets.
Indicator
A++ Signals [Scalping-Algo]This indicator is a high-probability trend-following system designed for scalping and intraday trading (3M, 5M, 15M). It combines volatility-based signals with institutional trend filters to maintain a high winrate.
1. How to Enter a Trade
Long Entry: Wait for the green "Long" bubble. Price must be above both the Gold VWAP and the Blue EMA 13.
Short Entry: Wait for the red "Short" bubble. Price must be below both the Gold VWAP and the Blue EMA 13.
Trend Filter: Ensure the price is trading in the direction of the EMA 200 (thin gray line) for the highest probability of success.
2. Managing the Trade (TP/SL)
Once a signal appears, the indicator draws two dynamic boxes:
Green Zone (TP): Your target area. The trade is a "Win" when price hits the top of this box (marked by a purple "Long TP" bubble).
Red Zone (SL): Your protection area. The trade is a "Loss" if price hits the bottom of this box (marked by a red "Long SL" bubble).
The "76% Winrate" Secret: The indicator uses Asymmetric Risk. By setting a smaller Take Profit (1.0) and a wider Stop Loss (3.0), you allow the trade to "breathe" through market noise, significantly increasing the chance of hitting your profit target.
3. Using the Dashboard
Win %: Displays the real-time accuracy of the strategy on your current chart.
Multiplier/Period: Shows your active sensitivity settings. If the winrate drops below 70%, try increasing the Multiplier slightly to filter out more noise.
4. Pro Tips for Maximum Success
Trade the "Session": The best signals occur during the London/New York crossover (active by default in the settings).
Volume is King: Only take signals where the volume is high (the indicator filters this automatically, but always look for "strong" candles).
Avoid Flat Markets: If the Gold VWAP and Blue EMA 13 are crossing each other frequently (moving sideways), stay out of the market until a clear trend emerges.
Indicator
Hidden Markov Model: Baum-Welch [UAlgo]Hidden Markov Model: Baum-Welch is a regime detection and reversal signaling indicator that applies a 3 state Hidden Markov Model to normalized log returns and continuously adapts its parameters using an online Baum Welch expectation maximization routine. The script is designed to classify the market into three latent regimes, then express that classification as real time probabilities for Bull, Range, and Bear conditions.
The indicator runs in its own pane ( overlay=false ) and outputs:
Probability curves for the three regimes
A dominant regime score scaled to 0 to 1
A regime strip visualization for quick bias reading
Adaptive background coloring based on the dominant regime and confidence
Optional regime shift markers
Optional buy and sell reversal markers driven by strict multi condition logic
The core idea is that price behavior can be modeled as transitions between hidden states that each have their own return distribution. The script fits a Gaussian emission model for each state, estimates state transition probabilities, and updates the posterior probability of each state on every bar. It retrains the full model at fixed intervals, while using a faster one step forward update between retrains for efficiency.
This implementation is not a simple threshold oscillator. It is a full mini HMM engine built in Pine with:
Scaled forward and backward algorithms
Expectation step producing gamma and xi posteriors
Maximization step updating initial distribution, transition matrix, state means, and state variances
Safeguards such as variance floors and transition floors to maintain numerical stability
The output is a regime aware probability system that can be used for bias, context, and reversal confirmation rather than simple entry signals.
Educational tool only. Not financial advice.
🔹 Features
🔸 1) Three State Hidden Markov Model Regime Engine
The model uses three hidden states and continuously estimates the probability of being in each state:
Bull regime
Range regime
Bear regime
This gives a probabilistic regime map rather than a single hard classification.
🔸 2) Baum Welch Training with Scheduled Retraining
The script retrains its parameters using an EM routine at a user defined interval in bars. Each retrain runs a configurable number of EM iterations. Between retrains, the indicator performs a one step forward Bayesian update of the posterior state probabilities.
This structure balances adaptability with performance.
🔸 3) Normalized Log Return Observations
The observation series is a z score normalized log return:
Log returns convert price changes into additive units
An EMA and rolling standard deviation normalize the series to stabilize the HMM fit
This helps the HMM learn regimes based on relative return behavior rather than raw price scale.
🔸 4) Automatic Bull, Range, and Bear Role Assignment
The model learns state means. The script then assigns roles by ranking those learned means:
The state with the lowest mean becomes the Bear state
The state with the highest mean becomes the Bull state
The remaining state is treated as Range
This keeps regime labeling consistent even as the internal state ordering shifts during training.
🔸 5) Probabilities and Dominant Regime Visualization
The script plots:
Bull probability curve
Range probability curve
Bear probability curve
It also plots an area for the dominant probability and a regime strip that makes it easy to see the dominant regime quickly without reading the full curves.
🔸 6) Regime Score Line (Bull minus Bear)
A continuous score is calculated as Bull probability minus Bear probability, then scaled to a 0 to 1 range. This score becomes the main regime momentum signal used for rebound and reversal logic.
🔸 7) Adaptive Background Coloring by Regime and Confidence
The pane background color changes based on the dominant regime. Transparency adapts according to confidence, so strong regime certainty produces a more visible background while low certainty remains subtle.
🔸 8) Strict Signal Filters for Bias and Reversal
The indicator provides bias filters:
Bull bias when Bull probability and confidence exceed thresholds and the dominant regime is Bull
Bear bias when Bear probability and confidence exceed thresholds and the dominant regime is Bear
It also provides reversal style buy and sell signals based on a multi condition framework described in the calculations section.
🔸 9) Reversal Logic Combining Extremes, Rebounds, and Transition Edge
Reversal signals are not generated by a single crossover. The script requires:
An extreme score pivot
An extreme regime probability at that pivot
A rebound trigger through predefined rebound levels
A minimum probability and confidence filter
A transition asymmetry and edge condition that favors switching toward the target regime
A momentum condition requiring Bull probability rising and Bear probability falling for buys, and the inverse for sells
A time window limit so reversals must occur within a limited number of bars after the extreme
This creates a high selectivity reversal engine.
🔸 10) Transition Matrix Insight and Switch Edge Metrics
The script computes predicted transition probabilities toward Bull and Bear using the current posterior and the transition matrix. It also measures transition asymmetry between Bull to Bear and Bear to Bull and uses these values as part of reversal confirmation.
This adds structural information that classic oscillators do not capture.
🔸 11) Anti Duplicate Reversal Signals
Once a pivot extreme has been used to generate a reversal signal, it is marked as consumed so the same pivot cannot repeatedly trigger additional buy or sell signals. This helps avoid signal repetition.
🔸 12) Full Informational Label Output
A live info label prints:
Current regime
Current signal text
Confidence
Bull, Range, Bear probabilities
Log likelihood
Key trigger thresholds
Reversal settings and edge settings
This provides transparency into what the model is currently seeing and why signals are or are not appearing.
🔹 Calculations
1) Observation Series: Normalized Log Returns
The script uses log returns:
logRet = math.log(close / nz(close , close))
Then normalizes them with an EMA mean and rolling standard deviation:
retMean = nz(ta.ema(logRet, normLength), 0.0)
retStd = math.max(nz(ta.stdev(logRet, normLength), 0.0), 1e-6)
obs = (logRet - retMean) / retStd
This creates an observation series with more stable scale properties across time.
2) Rolling Observation Window
The HMM is trained on a rolling window of length windowLen . Only the most recent processRecentBars are processed to control load:
startBar = last_bar_index - processRecentBars
activeRange = bar_index >= (startBar < 0 ? 0 : startBar)
If active, the observation is appended and the oldest one is removed:
if array.size(obsWindow) < windowLen
array.push(obsWindow, obs)
else
array.shift(obsWindow)
array.push(obsWindow, obs)
The model is ready only when the window is full.
3) Model Initialization
The script initializes a 3 state model with:
Uniform initial state probabilities
A transition matrix seeded with high persistence and equal small jump probabilities
State means initialized around zero with a configured separation
State variances initialized to a configured starting value
Key logic:
Stay probability equals initialPersistence
Jump probability equals the remaining probability split across other states
This gives the HMM a stable starting point before training.
4) Emission Model: Gaussian per State
Each state emits observations using a Gaussian density:
math.exp(-0.5 * d * d / varS) / math.sqrt(TWO_PI * varS)
Variance uses a floor:
float varS = math.max(array.get(this.vr, s), varMin)
This prevents variance collapse and numeric instability.
5) Forward Algorithm with Scaling
The script computes the forward probabilities alpha and applies scaling coefficients c to prevent underflow. It then recovers log likelihood from the scaling coefficients:
this.logLik := -sum(log(c ))
This is essential because HMM sequences quickly underflow without scaling.
6) Backward Algorithm with Scaling
The backward probabilities beta are computed using the scaling values from the forward pass, ensuring alpha and beta remain numerically stable across the entire window.
7) Expectation Step: Gamma and Xi
Gamma represents posterior probability of being in state i at time t . Xi represents posterior probability of transitioning from i to j between t and t+1 .
Xi is normalized per time step:
xij = xi_raw / denom
Gamma is computed as the sum of xi across outgoing transitions for each state:
gamma(t, i) = sum_j xi(t, i, j)
8) Maximization Step: Updating Parameters
Initial probabilities update from gamma at time 0:
pi = gamma(0, i)
Transition probabilities update from xi sums divided by gamma sums, with a transition floor and row normalization:
Each transition is clamped to transitionFloor
Each row is normalized to sum to 1
Means update as weighted averages of observations using gamma weights.
Variances update as weighted squared deviation sums with a variance floor.
9) Retraining Schedule and Online Updates
The model retrains when:
It is not initialized yet
Or the bar index matches the retrain interval
shouldRetrain = ready and (not modelInitialized or bar_index % retrainEveryBars == 0)
On retrain, Baum Welch is run for emIterations .
Between retrains, the script performs a one step forward update of the posterior:
hmm.forwardOne(posterior, obs, varianceFloor, posteriorTmp)
This provides continuous posterior updates without full retraining on every bar.
10) Role Mapping to Bull, Range, Bear
The script assigns which internal state corresponds to Bear and Bull by looking at the learned means:
Bear state is the state with the minimum mean
Bull state is the state with the maximum mean
Range is the remaining state index
This mapping updates dynamically as the model learns.
11) Regime Score and Confidence
The regime score is:
score = pBull - pBear
It is then scaled to 0 to 1:
score01 = 0.5 + 0.5 * score
Confidence is:
confidence = max(pBull, pRange, pBear)
This confidence drives background alpha and signal gating.
12) Probability Filters for Bias
Bull filter requires:
Bull probability above bullProbTrigger
Confidence above signalConfidenceMin
Bear filter requires similar conditions for Bear probability.
Bias validity adds the requirement that the dominant regime role matches the direction:
Bull bias requires dominantRole equals 1
Bear bias requires dominantRole equals minus 1
13) Extreme Pivot Logic for Reversal Candidates
The script looks for pivots in the score line:
ta.pivotlow(score01, pivotStrength, 1)
ta.pivothigh(score01, pivotStrength, 1)
It stores the most recent pivot low and pivot high along with the associated Bull or Bear probability at the pivot bar.
A low extreme is valid if:
Score at pivot is below dipScoreLevel
Bear probability at pivot exceeds extremeProbMin
A high extreme is valid if:
Score at pivot is above topScoreLevel
Bull probability at pivot exceeds extremeProbMin
14) Rebound Triggers
After an extreme, the script waits for rebound triggers:
Up rebound:
ta.crossover(score01, reboundUpLevel)
Down rebound:
ta.crossunder(score01, reboundDownLevel)
Rebound must occur within the reversal window bars from the extreme pivot.
15) Transition Edge and Asymmetry Logic
The script computes predicted probabilities of switching toward Bull or Bear using the transition matrix and current posterior. It also computes transition asymmetry between the Bull to Bear and Bear to Bull transitions.
A bullish switch condition requires:
Switch edge greater than hmmEdgeMin
Transition asymmetry favoring Bear to Bull at or above transitionAsymMin
Bull probability greater than Bear probability
A bearish switch condition uses the mirrored logic.
This adds a model based confirmation that a regime switch is plausible, not only that the score bounced.
16) Momentum Confirmation
Bull momentum requires:
Bull probability rising
Bear probability falling
Bear momentum requires the opposite.
These conditions prevent signals when probabilities are flat or conflicting.
17) Final Reversal Signal Construction
Buy reversal requires:
Valid low extreme
Not consumed
Inside reversal window
Rebound up
Bull probability and confidence filter
Bullish HMM switch condition
Bull momentum
Sell reversal requires the mirrored set of conditions.
The sell is suppressed if a buy is simultaneously true so conflicting signals do not print on the same bar.
18) Visualization Output
The script plots:
Probability curves for each regime
A dominant probability area
A thick score line colored by regime
A regime strip column plot
Fills between Bull and Bear curves and between rebound levels
Adaptive background
Optional markers for regime shifts
Reversal markers as glow plus label style plots
The info label consolidates the most important current state and threshold data for transparency.
Indicator
Adaptive Momentum Classifier [WillyAlgoTrader]📡 Adaptive Momentum Classifier is an overlay indicator that evaluates four independent market dimensions — momentum, trend, volatility position, and money flow — ranks each one against its own historical distribution using percentile scoring, and combines them into a single composite score (0–100%) that drives signal generation. Signals fire only when the composite score crosses a threshold with minimum feature agreement across axes, passes through five independent filters, and is confirmed on bar close.
The core idea: instead of using one indicator to generate signals, this tool treats four market dimensions as independent measurement axes, normalizes each to a uniform 0–1 scale via percentile ranking, weights and combines them into a consensus score, and then requires both the score threshold AND a minimum number of agreeing axes before allowing a signal. This multi-axis + agreement gate architecture filters out situations where a single strong reading (e.g., RSI spike) would trigger a false signal while the other dimensions disagree.
🧩 WHY THESE COMPONENTS WORK TOGETHER
Traditional signal generators face a fundamental problem: a single indicator measures one market dimension. RSI measures momentum speed but is blind to trend direction. MACD measures trend but ignores where price sits within its volatility envelope. Volume-based indicators measure flow but know nothing about price momentum. Using any one of these alone produces signals that ignore critical market context.
Simply combining indicators with AND/OR logic (e.g., "buy when RSI > 50 AND MACD > 0") doesn't solve the deeper problem: the indicators are on different scales, have different distributions, and their raw values aren't comparable. RSI = 55 and MACD histogram = 0.002 both "lean bullish" but you can't meaningfully average them.
This indicator solves both problems:
Step 1 — Orthogonal axis design: Each axis measures a genuinely different market dimension. Momentum (how fast), Trend (which direction), Volatility Position (where within the range), Flow (where is money going). They are deliberately chosen to be as independent as possible.
Step 2 — Percentile normalization: Each axis's raw value is ranked against its own recent history. "Is this RSI-ROC blend reading higher than 75% of the last 89 readings?" This converts every axis to a uniform 0–1 scale where 0.5 = median. Now all four axes are directly comparable and combinable.
Step 3 — Weighted consensus: The four normalized scores are combined with weights (Trend 1.2×, Momentum 1.0×, Flow 1.0×, Volatility 0.8×) into a single composite score. The weighting reflects that trend conviction is slightly more predictive than raw momentum.
Step 4 — Agreement gate: Even with a high composite score, the signal is blocked unless at least half the axes independently agree (each reading > 0.6 for bullish or < 0.4 for bearish). This prevents one extreme axis from dominating the composite and producing a false consensus.
Step 5 — Filter stack: Five independent filters (trend alignment, volatility regime, volume, score acceleration, HTF bias) provide additional context gates. The signal only fires when all enabled filters pass simultaneously.
No single component is useful alone. Percentile ranking without multiple axes just normalizes one indicator. Multiple axes without percentile ranking can't be meaningfully combined. A combined score without the agreement gate can be dominated by one outlier. And all of this without filters would still fire in unsuitable market conditions. The full pipeline is required.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Four-axis percentile scoring engine.
Each axis is built from two sub-components blended together, then converted to a 0–1 percentile rank against the scoring lookback window (default 89 bars). The percentile function counts what fraction of historical values are below the current value — producing a uniform distribution with no dead zones (unlike z-score normalization which compresses values near the mean).
Axis 1 — Momentum (weight 1.0):
Sub-components: RSI(13) centered at 50, and ROC(9). Each is percentile-ranked independently, then blended 60% RSI + 40% ROC. RSI provides stable momentum reading, ROC provides faster reaction to price acceleration. The blend captures both speed (ROC) and sustained momentum (RSI) in a single axis.
Axis 2 — Trend (weight 1.2):
Sub-components: MACD histogram (12/26/9), and EMA slope normalized by ATR. EMA slope = (EMA − EMA ) / (ATR × 5), making it scale-independent across instruments. Each percentile-ranked, blended 60% MACD + 40% slope. MACD histogram captures momentum of the trend itself (acceleration), while EMA slope captures sustained directional movement. This axis receives the highest weight (1.2) because directional conviction is the strongest single predictor of continuation.
Axis 3 — Volatility Position (weight 0.8):
Sub-components: Bollinger %B (21-period, showing where price sits within the band envelope, 0 = lower band, 1 = upper band), and ATR expansion ratio (current ATR / SMA of ATR over lookback). Combined as: (BB%B − 0.5) × min(ATR_ratio, 2.5), then percentile-ranked. This creates a directional volatility signal: price at upper band during volatility expansion scores high (strong bullish breakout), price at upper band during contraction scores lower (potential mean-reversion). The ATR ratio is capped at 2.5 to prevent extreme volatility spikes from distorting the axis. Lower weight (0.8) reflects that volatility position is a confirming factor, not a primary driver.
Axis 4 — Flow (weight 1.0, auto-disabled without volume):
Sub-components: MFI(13) centered at 50, and OBV slope (smoothed OBV EMA(21), slope = (OBV_EMA − OBV_EMA ) / |OBV_EMA|). Each percentile-ranked, blended 50/50. MFI combines price and volume into a single money flow reading, OBV slope shows whether accumulation is accelerating or decelerating. On instruments without volume data (forex), this axis returns 0.5 (neutral) and its weight drops to 0, so the composite score is calculated from three axes only.
2️⃣ Composite score with symmetric thresholds.
The four axes are combined: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility_position + 1.0 × flow) / total_weight. Result is 0–1 where 0 = maximum bearish consensus, 0.5 = neutral, 1 = maximum bullish consensus. A buy signal fires when the composite crosses above the threshold (default 0.618). A sell signal fires when it crosses below (1 − threshold = 0.382). This creates symmetric entry conditions: the same strength of consensus is required for both directions.
3️⃣ Feature agreement gate.
Independent of the composite score, each axis is evaluated for directional agreement: > 0.6 = bullish vote, < 0.4 = bearish vote, 0.4–0.6 = abstain. The agreement ratio = max(bull_votes, bear_votes) / active_axes. Signals require agreement ≥ 0.5 (at least half the axes independently confirming the same direction). This prevents false signals from composite score averaging: if momentum = 0.95 but trend = 0.3 and volatility = 0.4, the composite might cross the threshold but only 1/4 axes agree — signal is blocked.
4️⃣ Score acceleration filter.
The rate of change of the composite score: acceleration = score − score . Signals require |acceleration| ≥ Min Score Acceleration (default 0.02). This filters out slow-drift crossovers where the score gradually creeps past the threshold without any decisive move — these typically represent noise, not genuine momentum shifts. Only fast, decisive threshold crosses produce signals.
5️⃣ Five-filter stack.
Each filter is independently toggleable:
— Trend Alignment (default On): price must be above EMA(50) for longs, below for shorts — prevents counter-trend entries
— Volatility Regime (default On): ATR ratio must be between 0.4 and 3.0 — suppresses signals during dead markets (ATR < 40% of average) and crash conditions (ATR > 300% of average)
— Volume Confirmation (default On): volume must exceed 80% of its 20-period SMA — confirms market participation. Auto-disabled on instruments without volume data
— Score Acceleration (default 0.02): described above. Set to 0 to disable
— Higher TF Bias (default disabled): when a timeframe is selected, price must be above/below EMA(21) on the higher timeframe for longs/shorts. Uses + lookahead_on for non-repainting HTF data
6️⃣ Direction lock — no consecutive same-direction signals.
After a buy signal fires, the next signal can only be a sell (and vice versa). This prevents signal clustering where multiple buy signals fire in sequence during a strong trend — you get one entry per direction until the trend reverses.
7️⃣ Four sensitivity presets.
Each preset overrides two parameters simultaneously:
— Conservative : threshold 0.80, lookback 150 — requires very strong consensus over a long history, fewer but higher-conviction signals
— Default : uses your manual settings (threshold 0.618, lookback 89)
— Aggressive : threshold 0.60, lookback 60 — lower bar for signals, shorter history, faster adaptation
— Scalping : threshold 0.55, lookback 40 — minimum consensus required, very short history, designed for 1–5M charts
The lookback affects all four axes simultaneously (percentile ranking window), so the entire scoring engine adapts as a unit.
8️⃣ Dynamic trend band.
A visual EMA ± 0.5× ATR band colored by the composite score: green (score > 55%), red (< 45%), yellow (neutral). This provides an at-a-glance trend context without needing to read the dashboard. The band width adapts to volatility automatically.
9️⃣ Signal strength classification.
Each signal is classified based on the composite score at the moment of firing: Strong (score ≥ 85%), Medium (≥ 75%), Weak (< 75%). Displayed in the dashboard and available in alert messages. This helps you size positions or filter setups based on conviction level.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Raw feature calculation: RSI(13), ROC(9), MACD(12/26/9) histogram, EMA slope (normalized by ATR), BB%B(21), ATR ratio, MFI(13), OBV slope — eight raw values computed from price and volume.
Step 2 — Percentile ranking: Each raw value is ranked against its own history over the scoring lookback (default 89 bars). The pctRank function iterates through the lookback window and counts what fraction of past values are below the current value. Result: 0.0 (lower than all history) to 1.0 (higher than all history). This normalization is performed for each of the eight sub-components independently.
Step 3 — Axis blending: Each pair of sub-components is blended into one axis score: momentum = 0.6 × pctRSI + 0.4 × pctROC, trend = 0.6 × pctMACD + 0.4 × pctSlope, volatility = pctVolPosition (single combined raw), flow = 0.5 × pctMFI + 0.5 × pctOBV.
Step 4 — Weighted composite: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility + 1.0 × flow) / total_weight. On instruments without volume: flow weight = 0, total_weight = 3.0 instead of 4.0.
Step 5 — Threshold crossing: Buy triggers when composite crosses above the threshold (default 0.618) from below. Sell triggers when composite crosses below (1 − 0.618 = 0.382) from above. Both require barstate.isconfirmed.
Step 6 — Agreement check: Each axis is independently classified as bullish (> 0.6), bearish (< 0.4), or neutral. At least 50% of active axes must agree with the signal direction.
Step 7 — Filter stack: All five enabled filters must pass. Any failure blocks the signal.
Step 8 — Direction lock: Signal must be opposite to the last confirmed signal.
Step 9 — Emission: Buy (▲) or Sell (▼) label placed on the confirmed bar.
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to your chart
2. Select a sensitivity preset matching your style (or use Default)
3. The trend band immediately shows the current momentum bias (green/red/yellow)
4. Wait for a ▲ (buy) or ▼ (sell) label — check the dashboard for score and strength
5. Use the agreement ratio (e.g., 3/4) to confirm multi-axis consensus
👁️ Reading the chart:
— 🟢 Green trend band = bullish momentum (score > 55%)
— 🟡 Yellow trend band = neutral / transition zone
— 🔴 Red trend band = bearish momentum (score < 45%)
— 🟢 ▲ label below bar = confirmed buy signal
— 🔴 ▼ label above bar = confirmed sell signal
— Band width = current volatility (wider = more volatile)
📊 Dashboard fields:
— Trend: current composite direction (Bullish / Bearish / Neutral)
— Last Signal: most recent signal with bars elapsed
— Strength: signal quality (Strong / Medium / Weak)
— Score: current composite as percentage
— Agreement: how many axes confirm (e.g., 3/4)
— Volatility: ATR regime (High / Normal / Low)
— TF and version
🔧 Tuning guide:
— Too many signals: increase threshold (0.70–0.85), enable more filters, use Conservative preset
— Too few signals: decrease threshold (0.55–0.60), reduce lookback (50–70), use Aggressive preset
— Signals too late: shorten RSI/ROC/MACD lengths, reduce lookback
— Too many false signals in ranging markets: enable ADX-aware Volatility Regime filter, increase Min Score Acceleration to 0.03–0.05
— Scalping 1–5M: use Scalping preset (threshold 0.55, lookback 40), lower filter aggressiveness
— Swing 4H–1D: use Conservative preset (threshold 0.80, lookback 150), enable HTF bias filter
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Sensitivity Preset (default Default): Conservative / Default / Aggressive / Scalping
— Scoring Lookback (default 89): percentile ranking window — higher = more stable, lower = faster adaptation
— Signal Threshold (default 0.618): minimum composite score for buy signals (sell = 1 − threshold)
📊 Feature Engine:
— RSI Length (default 13) / ROC Length (default 9): momentum axis sub-components
— MACD Fast/Slow/Signal (default 12/26/9): trend axis MACD
— Bollinger Length (default 21): volatility position axis
— MFI Length (default 13) / OBV Smooth (default 21): flow axis
🔍 Filters:
— Trend Alignment (default On): EMA(34) trend direction gate
— Volatility Regime (default On): ATR ratio 0.4–3.0 range gate
— Volume Confirmation (default On): volume > 80% of 20-SMA
— Min Score Acceleration (default 0.02): minimum speed of score change
— Higher TF Bias (default Off): optional HTF EMA(21) alignment
🎨 Visual:
— Trend band (EMA ± 0.5× ATR, scored coloring)
— Background tint / Dynamic bar coloring (optional)
— Auto / Dark / Light theme
🔔 Alerts
— 🟢 BUY — ticker, price, timeframe, composite score
— 🔴 SELL — same fields
Both support plain text and JSON webhook format. Bar-close confirmed, direction-locked (no consecutive same-direction alerts).
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals require barstate.isconfirmed. HTF bias uses + lookahead_on. A warmup period (max of lookback, MACD slow period, and trend EMA length, minimum 50 bars) prevents signals during insufficient data.
— 📐 The composite score is not a probability . A score of 80% means four market dimensions, percentile-ranked against recent history, strongly agree on bullish conditions. It measures consensus quality, not prediction accuracy.
— ⚖️ Percentile ranking is relative to the lookback window . A score of 0.9 means "higher than 90% of the last N bars" — it does not mean the same thing on different instruments or timeframes. Each chart creates its own distribution.
— 📊 The Flow axis (MFI + OBV) auto-disables on instruments without volume data (many forex pairs). The composite then runs on three axes with adjusted total weight. Signal quality is slightly lower without flow data but the other three axes remain fully functional.
— 🔒 Direction lock means you get one signal per trend leg . After a buy, only a sell can fire next. This prevents clustering but means you won't get "add to position" signals — the tool provides one entry per direction.
— 🔄 The agreement gate requires ≥ 50% of axes to independently confirm. On 4-axis instruments, this means ≥ 2. On 3-axis (no volume), ≥ 2. This is a deliberately moderate threshold — raising it to 75%+ would make signals extremely rare.
— 🛠️ This is a signal and analysis tool , not an automated trading bot. It classifies momentum consensus and generates signals — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Volume-dependent features auto-adapt to available data.
Indicator
TX Smooth ReversalOverview:
The CDSA Smooth Reversal is a quantitative trading tool designed to identify high-probability price exhaustion and reversal points. By combining Multi-Timeframe (MTF) alignment with a sophisticated Band Engine based on KAMA (Kaufman Adaptive Moving Average), this indicator filters out market noise and focuses on institutional-grade reversal zones.
Key Features:
KAMA-Adaptive Bands: Unlike standard Bollinger Bands, our bands use an Efficiency Ratio (ER) to adapt to market volatility, expanding during trends and contracting during consolidations.
Probabilistic Reversal Scoring: A proprietary logic that calculates the likelihood of a reversal based on price deviation, volume characteristics, and trend exhaustion.
MTF Fusion Gate: Ensures that signals only appear when multiple timeframes (Micro, Operational, and Regime) are in alignment, significantly reducing false signals.
Heikin Ashi Integration: Optional HA logic processing to smooth out erratic price action for long-term trend analysis.
Live Dashboard: Real-time monitoring of Bull/Bear reversal probabilities and MTF status directly on your chart.
How to Trade:
Bullish Reversal (BUY): Look for the "BUY" label when the Bull Probability is high (>75%) and price touches the lower outer bands.
Bearish Reversal (SELL): Look for the "SELL" label when the Bear Probability is high (>75%) and price reaches the upper outer bands.
MTF Confirmation: Ensure the "MTF Alignment" on the dashboard matches your trade direction for the highest win-rate setups.
Settings:
Algorithm Mode: Choose between Conservative (fewer, higher quality signals), Normal, or Aggressive.
Alignment Threshold: Adjust how strictly the different timeframes must agree before a signal is triggered.
Indicator
Adaptive Volatility Trend [WillyAlgoTrader]Adaptive Volatility Trend (AVT) is a trend-following overlay indicator that dynamically adjusts its sensitivity to market conditions using the Kaufman Efficiency Ratio and ATR-based volatility bands.
Unlike static moving averages or fixed-width channels, AVT continuously adapts: it accelerates in strong directional moves and slows down during choppy, range-bound price action — reducing whipsaws where most trend indicators fail.
🔍 WHAT MAKES IT ORIGINAL
The core innovation is a self-tuning mechanism built on three adaptive layers:
1. Kaufman Efficiency Ratio (ER) as an adaptive engine. The ER measures how "efficient" price movement is — the ratio of net directional change to total path traveled over N bars. An ER near 1.0 means price moved in a clean straight line (strong trend); near 0.0 means it went sideways with lots of noise. AVT uses the smoothed ER to dynamically blend between a fast constant (2-period EMA speed) and a slow constant (30-period EMA speed), producing an Adaptive Moving Average that responds quickly in trends and becomes sluggish in chop.
2. ER-scaled ATR bands. The volatility channel doesn't just use raw ATR × multiplier. It incorporates the Efficiency Ratio to narrow the bands during trending conditions (where ER is high) and widen them during ranging markets (where ER is low). This means the channel contracts when the trend is clean — keeping signals tight — and expands when price is noisy — filtering out false breakouts.
3. Composite Signal Scoring System (0–100). Every signal receives a quality score based on three weighted components:
— Trend strength (0–40 pts): derived from the Efficiency Ratio magnitude
— Momentum (0–30 pts): RSI distance from the neutral 50-level in the signal direction
— Volume confirmation (0–30 pts): current volume relative to its 20-period average
Only signals exceeding the user-defined minimum score threshold are displayed — letting you filter out low-conviction setups.
⚙️ HOW IT WORKS
Trend detection:
The indicator calculates an Adaptive Moving Average using the Kaufman method. The slope of this line determines trend direction: if the line rises by more than 5% of current ATR, the trend is classified as bullish; if it falls by the same threshold, bearish. A small dead zone (ATR × 0.05) prevents noise from flipping the trend.
Signal generation:
A BUY signal fires when:
— Trend flips from bearish/neutral to bullish (slope turns positive)
— Price is above the adaptive line
— RSI is not in overbought territory (if RSI filter is enabled)
— Volume exceeds its moving average × threshold (if volume filter is enabled; auto-disabled on forex)
— Composite score meets the minimum threshold
— Bar is confirmed (close-based, no repainting)
SELL signals use the mirror logic.
Anti-repaint compliance:
All signals require barstate.isconfirmed — they only trigger on the close of the bar and never change on historical data. A warmup period (minimum 50 bars or 2× Trend Length) prevents unreliable early signals.
Volume filter on forex:
The indicator automatically detects instruments with no volume data (common on forex pairs) and bypasses the volume filter for those symbols, so it works seamlessly across asset classes.
📖 HOW TO USE
Reading the chart:
— Green trend line + upward slope = bullish regime
— Red trend line + downward slope = bearish regime
— Yellow trend line = neutral / transitioning
— ▲ labels below bars = confirmed BUY signal
— ▼ labels above bars = confirmed SELL signal
— The shaded channel around the trend line shows volatility-adjusted support/resistance zones
Quick-start presets:
— Conservative (Length 30 / ATR 20 / Mult 2.5): fewer signals, higher reliability — suited for swing trading on 4H–Daily
— Default (Length 20 / ATR 14 / Mult 2.0): balanced for most timeframes
— Aggressive (Length 12 / ATR 10 / Mult 1.5): more signals — suited for 15min–1H
— Scalping (Length 8 / ATR 7 / Mult 1.2): fast response — optimized for 1–5min charts
Signal quality:
Use the Score value in the dashboard to gauge conviction:
— 70–100: strong trend + momentum + volume alignment
— 40–69: moderate setup, consider additional confluence
— Below threshold: signal filtered out (not shown)
Dashboard panel:
Displays current trend direction, last signal with its score, Efficiency Ratio %, RSI value, timeframe, and indicator version. Position is adjustable to any corner of the chart.
Alerts & automation:
Supports both standard PulseWire alert messages and JSON webhook format for integration with 3Commas, Alertatron, or custom bots. Alert messages include ticker, price, timeframe, and signal score.
⚙️ KEY SETTINGS REFERENCE
— Trend Length (default 21): lookback for adaptive MA — higher = smoother, lower = faster
— ATR Length (default 14): period for volatility bands — higher = wider bands
— Band Multiplier (default 2.0): ATR multiplier for channel width — higher = fewer false signals
— RSI Filter (on by default): blocks buy signals when RSI > 70, sell signals when RSI < 30
— Volume Filter (on by default): requires volume > SMA(20) × 1.2 — auto-disabled on forex
— Min Signal Score (default 40): minimum composite score for signal display
— Efficiency Smoothing (default 5): EMA smoothing of the Kaufman ER
⚠️ IMPORTANT NOTES
— This indicator does not use future data. No lookahead, no repainting.
— Past performance shown on any chart does not guarantee future results.
— AVT is a tool for identifying trend direction and generating signal candidates — it is not a complete trading system. Always use proper risk management and consider additional confluence before entering trades.
— The indicator works best in trending markets. In prolonged sideways conditions, even filtered signals may produce whipsaws — the Efficiency Ratio in the dashboard helps you assess whether the current market is trending enough for signal reliability.
Indicator
US30 3 SoldiersThe best strategy is to wait for it to break the high or the low with three consecutive candles and enter at the close of the third candle, placing the stop loss below the first candle.
Indicator
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets.
📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading.
🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise.
💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades.
⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone.
🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries.
🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion.
⚙️ Trading Strategy & Logic
This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade.
📌 Entry Logic
1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones.
2. 🔔 Set Your Alerts: In PulseWire, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level.
3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line.
4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade.
🛑 Stop Loss SL Placement
The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea.
⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box.
⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line.
🎯 Take Profit TP Strategy
The indicator provides three clear targets. How you use them depends on your trade management style.
🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven.
🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target.
⚠️ IMPORTANT NOTICE
This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Indicator
Adaptive Buy Sell Signal [AvantCoin]
A comprehensive customized indicator for different markets
🔴Before you start🔴:
Please note that this tool is designed to assist you in analyzing the market, and NOT to make buy/sell decisions for you. You should combine its data with your own strategies and indicators before making any trading choices
====================
Market-Specific Optimizations
Auto-Detection (or Manual Selection)
It automatically detects which market you're trading:
Forex (EUR/USD, GBP/USD, etc.)
Stocks (AAPL, TSLA, etc.)
Indices (NAS100, SPX, etc.)
Commodities (Gold, Silver, Oil)
Crypto (BTC, ETH, etc.)
avantcoin.com
Forex-Specific Features:
✅ Session Filters: Avoids low-liquidity Asian session
✅ Session backgrounds: Green for London/NY overlap (best trading time)
✅ Tighter ADX threshold (20) - good for Forex trends
✅ Lower volatility filter - skips dead zones
⚙️ Min Confluence: 5 (balanced)
⚙️ Cooldown: 5 bars
⚙️ Volume threshold: 1.3x (Forex has consistent volume)
avantcoin.com
Stocks-Specific Features:
✅ Market hours filter: Only signals during NYSE hours.
✅ Gap detection: Avoids trading immediately after large gaps up/down
✅ Higher ADX threshold (22) - Stocks trend differently
✅ Stricter volume requirement (1.5x) - Stocks vary more
⚙️ Min Confluence: 6 (higher quality)
⚙️ Cooldown: 3 bars (stocks move faster)
Indices (Nasdaq, S&P; 500):
✅ Similar to stocks but slightly more lenient
✅ Lower ADX (18) - Indices are smoother
⚙️ Min Confluence: 5
⚙️ Cooldown: 4 bars
Commodities (Gold, Silver, Oil):
✅ Highest ADX requirement (23) - Only trade strong trends
✅ Higher volatility filter (1.6x) - Commodities can be wild
⚙️ Min Confluence: 6
⚙️ Cooldown: 6 bars (avoid whipsaws)
Crypto:
✅ 24/7 trading (no session restrictions)
✅ Lower ADX (15) - Crypto is always volatile
✅ Much higher volume threshold (2.0x) - Crypto volume spikes
⚙️ Min Confluence: 4 (crypto moves fast)
⚙️ Cooldown: 3 bars
📊 Visual Enhancements:
Market Type Badge at top of table (Forex, Stocks, etc.)
Session Status:
Forex: Shows 🟢 LDN/NY, 🔵 London, 🟠 NY, 🔴 Asian
Stocks: Shows 🟢 Open or 🔴 Closed
Session Background Colors on chart (optional)
Current Settings Display: Shows your Min score, ADX threshold, Cooldown
⚙️ How to Use:
For Forex:
Enable "Avoid Asian Session"
Best signals during London/NY overlap
For Stocks:
Enable "Trade Stock Hours Only"
Watch for gap warnings
avantcoin.com
Indicator
EMA Buy/Sell & Smart Zones(5Min TF only)### **Indicator Title:**
**EMA Buy/Sell & Smart Zones**
---
### **Description:**
**EMA Buy/Sell & Smart Zones** is a specialized intraday trading tool designed to combine trend analysis with precise market structure zones. This script utilizes a custom tracking algorithm to identify the **specific candle** that formed the previous session's high or low, allowing it to plot accurate Supply and Demand zones for the current trading day.
This indicator has been rigorously tested on the **Nifty Index** and is optimized for use on the **5-minute timeframe**.
### **Key Features**
**1. Smart Session Wick Zones ("True Wick" Logic)**
The indicator automatically scans every candle of the previous session to locate the exact price action that formed the day's extremes.
* **Smart High Zone:** Identifies the specific candle that made yesterday's High and plots a zone from that High down to that candle's Open or Close (based on body direction).
* **Smart Low Zone:** Identifies the specific candle that made yesterday's Low and plots a zone from that Low up to that candle's Open or Close.
* **Close Range:** Highlights the High-Low range of the very last candle of the previous session to show the closing sentiment.
*All zones automatically stop extending at the end of the current session, ensuring the chart remains clean and historically accurate.*
**2. EMA Trend System**
The script plots three key Exponential Moving Averages to define market direction:
* **EMA 21:** Captures short-term momentum.
* **EMA 63:** Defines the medium-term trend.
* **EMA 1575:** Establishes the long-term baseline.
**3. Buy/Sell Signals**
Clear signals are generated on the chart based on specific criteria:
* **BUY Signal:** Generated when a green candle closes above the EMA 21 and EMA 63.
* **SELL Signal:** Generated when a red candle closes below the EMA 21 and EMA 63.
* *Note: The logic includes a filter to alternate signals (Buy -> Sell -> Buy), preventing clutter during choppy markets.*
### **How to Use**
* **Recommended Timeframe:** **5 Minutes**.
* **Recommended Markets:** Indices (Nifty, Bank Nifty) and high-volume stocks.
* **Workflow:**
* Use the **Smart Zones** (Red/Green boxes) to identify potential rejection areas or breakout targets.
* Use the **Buy/Sell Labels** as confirmation triggers when price is reacting near these zones or trending strongly above/below the EMAs.
### **Settings & Customization**
* **Visibility Control:** Toggle each box type (High, Low, Close) and text labels on or off individually.
* **Color Customization:** Fully adjustable colors for all EMAs, Zone Backgrounds, Borders, and Text Labels to suit your chart theme.
* **Label Size:** Adjust the text size of the zone labels directly from the settings menu.
---
**Disclaimer:** This tool is for educational purposes and should be used to assist your analysis. Always manage your risk appropriately.
Indicator
Winners Scalper Pro - Bull/Bear (v1.5)best settings all standart but only change rsi
15 min rsi 8-9
30 min rsi 12-14
Indicator
MidZone Breakout Pro 🚀 MidZone Breakout Pro — Smart Balance Zone Signals
🧭 Equilibrium-Based Market Insight
MidZone Breakout Pro identifies key balance levels in the market and highlights directional opportunities when price decisively moves away from equilibrium.
📐 Dynamic Midpoint Zone Mapping
Automatically plots a central price balance zone derived from recent market ranges, helping traders visualize fair value and expansion areas.
🎯 Clear Buy & Sell Signals
Generates clean bullish and bearish signals when price exits the balance zone with momentum.
🎨 High-Visibility Zone Visualization
Color-coded zones, background shading, and bold signal markers provide instant clarity without chart clutter.
🎚 Customizable Sensitivity
Adjustable lookback period and zone width allow seamless adaptation across scalping, intraday, and swing trading.
🕰 Non-Repainting Signals
All signals are calculated using confirmed price action and remain stable on historical charts.
⚡ Lightweight & Fast Performance
Optimized design ensures smooth performance across all instruments and timeframes.
🛠 How to Use (Safe Version)
📉 **Buy Signal**: Appears when price moves strongly above the balance zone
📈 **Sell Signal**: Appears when price moves strongly below the balance zone
🟨 **Neutral Zone**: Indicates consolidation or equilibrium conditions
Best used in combination with trend direction, support/resistance, or volume confirmation.
⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not provide financial advice. Always apply proper risk management.
Indicator
As Good As It Gets Pivot ArrowsAs Good As It Gets Pivot Arrows
Description
- As Good As It Gets Pivot Arrows is a clean, high-precision pivot detection indicator that plots bright green upward triangles for confirmed pivot lows (buy signals) and red downward triangles for confirmed pivot highs (sell signals), and comes with customizable pivot length. Additionally, it optionally displays white dots for double-top/double-bottom pivots within a user-defined percentage tolerance.
Key Features
- Exact replication of TOS pivot high/low triangles (12-arrow style)
- Customizable pivot length (default 7)
- Option to ignore the last unconfirmed bar
- Toggle triangles and/or pivot dots independently
- Double-top/bottom detection with adjustable % tolerance (0.1% default)
- Clean visual signals with no repainting on confirmed pivots
What Makes It Unique
- This script delivers the pivot arrow behavior (including brighter lime-green buy triangles) that many traders love, with added flexibility: individual toggles for triangles/dots, double-top/bottom detection, and full customization. Unlike generic pivot indicators, it has precise confirmation logic while remaining fast and non-repainting on closed bars.
How to Use and Trade With It
- Adjust "Pivot Length" to suit your timeframe (7–14 common)
- Enable/disable triangles or dots as preferred
- Fine-tune "% Tolerance" for double-top/bottom sensitivity
Trading Signals
- Green upward triangle below bar: Confirmed pivot low → potential LONG entry or support
- Red downward triangle above bar: Confirmed pivot high → potential SHORT entry or - resistance
- White dots: Double-top (above) or double-bottom (below) within tolerance → higher-probability reversal zones
Best Practice
- Use triangles for primary swing entries/exits
- Combine with volume, trend filters, or support/resistance for confirmation
- Works on any timeframe; shorter lengths for intraday scalping, longer for positional trading
Indicator
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
Indicator
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Strategy
SuperTrend Oscillator [ChartPrime]⯁ OVERVIEW
The SuperTrend Oscillator is a hybrid momentum–trend indicator that transforms the classic SuperTrend into a full-strength oscillator.
Instead of simply plotting SuperTrend direction on the chart, this tool measures the distance between price and SuperTrend, normalizes it by volatility, and converts it into a dynamic oscillator that highlights trend strength, momentum extremes, and high-precision reversal points.
⯁ CONCEPTS
SuperTrend Engine: The indicator extracts the SuperTrend baseline and direction using ATR-based volatility. This acts as the core structure from which the oscillator is built.
Volatility-Adjusted Oscillation: (close − SuperTrend) is divided by ATR to standardize momentum across all markets and timeframes.
Adaptive Oscillator Types: The signal can be transformed using HMA, EMA, or SMA smoothing for varying responsiveness.
Momentum Extremes: Values above +1.7 or below −1.7 signal stretched price conditions where reversals are more likely.
Reversal Logic: The oscillator compares its current value with its value three bars ago. Large positive or negative pivots indicate momentum shifts.
⯁ FEATURES
Trend-Colored SuperTrend Line
The SuperTrend line shifts color based on direction, giving immediate context for oscillator readings.
Full Oscillator Transformation
Converts price–SuperTrend distance into a normalized oscillator, showing when momentum is expanding, contracting, or reaching exhaustion.
Gradient Momentum Coloring
The oscillator line and candles are colored using a two-sided gradient:
• Red tones for bearish momentum
• Orange/cream tones for bullish momentum
• Gray tones for low momentum
This makes strength visually intuitive.
Extreme Zones (±1.7 Bands)
Built-in upper and lower thresholds highlight zones where price is statistically overextended.
Dual Fill Layers
The area above/below zero is filled in different colors to emphasize bullish or bearish oscillator regime.
Reversal Diamonds
The script highlights significant reversals when:
• Momentum shifts downward from high values (bearish pivot)
• Momentum shifts upward from deep lows (bullish pivot)
These diamonds help pinpoint exhaustion-based turning points.
⯁ HOW TO USE
Identify Trend Strength:
A rising oscillator above 0 confirms bullish SuperTrend conditions; falling below 0 confirms bearish ones.
Spot Momentum Extremes:
Readings above +1.7 or below −1.7 often signal overextended price moves.
Use Reversal Diamonds as Pivot Alerts:
Diamond markers indicate high-probability turning points when momentum sharply reverses from extreme zones.
Confirm Trend Shifts with Color Changes:
Candle and oscillator colors shift based on momentum direction, providing clean visual alignment with SuperTrend direction.
Combine with Structure or OB Zones:
Reversal signals become more reliable when they occur at key S/R, order blocks, or liquidity sweeps.
⯁ CONCLUSION
The SuperTrend Oscillator modernizes the SuperTrend by transforming it into a volatility-aware oscillator with clear reversal markers, trend coloring, and momentum normalization.
This tool is ideal for traders who want both trend context and precise timing signals, blending SuperTrend’s reliability with the dynamics of a professional-grade momentum oscillator.
Indicator
Strategy
Support Line [by rukich]🟠 OVERVIEW
The indicator displays a floating line that acts as a support level. It's important to remember that any support level can be broken.
🟠 COMPONENTS
The indicator is based on the percentage difference between the closes of the n-th bar back and the current bar. The resulting percentage is smoothed to remove noise.
The indicator is displayed as a green-red line (the colors don’t carry meaning — they are used just for visual variety). When the price touches the support level, the bar background turns green.
For convenience, there is a label on the right side of the indicator showing the current value of the line.
🟠 HOW TO USE
The indicator includes several settings that can be adjusted, though optimal defaults are provided.
Settings:
Timeframe — specifies which timeframe’s data is used to calculate the line.
Candles back — specifies how many bars back from the current one are used.
The indicator should be used according to general support-zone logic. Since no support zone guarantees a price bounce, the optimal approach is to confirm the reaction after the price touches the line.
Example of use:
In the current example, the Timeframe in the indicator settings is set to 1 hour, and the currently open chart is 5 minutes. This means that on the 5-minute chart we see a 1-hour line. After the price touches the support line, you need to see a confirmation of the reaction to understand whether the support zone is holding the price.
In the examples, reaction confirmation is shown through: the formation of an M5 shift and the invalidation of an FVG M5- (the latter is more risky than the M5 shift):
🟠 CONCLUSION
The indicator shows a floating support zone, and when tested, you should confirm the reaction on a lower timeframe.
Indicator
Exhaustion Zone [by rukich]🟠 OVERVIEW
The indicator shows asset exhaustion — an area of interest where potential buying opportunities can be considered.
🟠 COMPONENTS
The indicator is based on a combination of fundamental tools designed to properly react to price movement and volatility.
It is displayed on the chart as a green line. When the price touches the indicator line, the candle lights up and is highlighted in green.
🟠 HOW TO USE
The best timeframes for using the indicator: 1D and 3D.
Since the indicator is used on higher timeframes, the price rarely reaches the indicator line, but it often shows a strong reaction when it does, which suggests that the indicator can be used for investment purposes.
Since the zone suggests potential buying opportunities, it’s best to act from the zone only when a reaction is confirmed. Confirmation may include a candle close beyond nearby fractals or the invalidation of the nearest resistance zone.
🟠 CONCLUSION
The indicator highlights an area of interest where, upon confirmation of a reaction, buying opportunities may be considered.
Indicator
Buy/Sell Hull Crossover Signals (Fast & Slow)This indicator generates buy and sell signals using fast- and slow-period Hull Moving Averages (HMAs). A bullish signal occurs when the fast HMA crosses above the slow HMA, while a bearish signal triggers when it crosses below. To reduce repainting, you can optionally require confirmation on bar close.
The script includes visual tools such as a color-shifting ribbon between HMAs, optional background shading to show market regime, and lightweight buy/sell labels for quick signal recognition. Alerts are built in so you can automate notifications when crossover conditions occur.
Designed to be simple, responsive, and easy to layer into existing strategies, this indicator helps traders spot momentum shifts and trend transitions with clarity.
Indicator
McMillan Volatility Bands (MVB) – with Entry Logic// McMillan Volatility Bands (MVB) with signal + entry logic
// Author: ChatGPT for OneRyanAlexander
// Notes:
// - Bands are computed using percentage volatility (log returns), per the Black‑Scholes framing.
// - Inner band (default 3σ) and outer band (default 4σ) are configurable.
// - A setup occurs when price closes outside the outer band, then closes back within the inner band.
// The bar that re‑enters is the "signal bar." We then require price to trade beyond the signal bar's
// extreme by a user‑defined cushion (default 0.34 * signal bar range) to confirm entry.
// - Includes alertconditions for both setups and confirmed entries.
Indicator
Quantum Fluxtrend [CHE] Quantum Fluxtrend — A dynamic Supertrend variant with integrated breakout event tracking and VWAP-guided risk management for clearer trend decisions.
Summary
The Quantum Fluxtrend builds on traditional Supertrend logic by incorporating a midline derived from smoothed high and low values, creating adaptive bands that respond to market range expansion or contraction. This results in fewer erratic signals during volatile periods and smoother tracking in steady trends, while an overlaid event system highlights breakout confirmations, potential traps, or continuations with visual lines, labels, and percentage deltas from the close. Users benefit from real-time VWAP calculations anchored to events, providing dynamic stop-loss suggestions to help manage exits without manual adjustments. Overall, it layers signal robustness with actionable annotations, reducing noise in fast-moving charts.
Motivation: Why this design?
Standard Supertrend indicators often generate excessive flips in choppy conditions or lag behind in low-volatility drifts, leading to whipsaws that erode confidence in trend direction. This design addresses that by centering bands around a midline that reflects recent price spreads, ensuring adjustments are proportional to observed variability. The added event layer captures regime shifts explicitly, turning abstract crossovers into labeled milestones with trailing VWAP for context, which helps traders distinguish genuine momentum from fleeting noise without over-relying on raw price action.
What’s different vs. standard approaches?
- Baseline reference: Diverges from the classic Supertrend, which uses average true range for fixed offsets from a median price.
- Architecture differences:
- Bands form around a central line averaged from smoothed highs and lows, with offsets scaled by half the range between those smooths.
- Regime direction persists until a clear breach of the prior opposite band, preventing premature reversals.
- Event visualization draws persistent lines from flip points, updating labels based on price sustainment relative to the trigger level.
- VWAP resets at each event, accumulating volume-weighted prices forward for a trailing reference.
- Practical effect: Charts show fewer direction changes overall, with color-coded annotations that evolve from initial breakout to continuation or trap status, making it easier to spot sustained moves early. VWAP lines provide a volume-informed anchor that curves with price, offering visual cues for adverse drifts.
How it works (technical)
The process starts by smoothing high and low prices over a user-defined period to form upper and lower references. A midline sits midway between them, and half the spread acts as a base for band offsets, adjusted by a multiplier to widen or narrow sensitivity. On each bar, the close is checked against the previous bar's opposite band: crossing above expands the lower band downward in uptrends, or below contracts the upper band upward in downtrends, creating a ratcheting effect that locks in direction until breached.
Persistent state tracks the current regime, seeding initial bands from the smoothed values if no prior data exists. Flips trigger new horizontal lines at the breach level, styled by direction, alongside labels that monitor sustainment—price holding above for up-flips or below for down-flips keeps the regime, while reversal flags a trap.
Separately, at each flip, a dashed VWAP line initializes at the breach price and extends forward, accumulating the product of typical prices and volumes divided by total volume. This yields a curving reference that updates bar-by-bar. Warnings activate if price strays adversely from this VWAP, tinting the background for quick alerts.
No higher timeframe data is pulled, so all computations run on the chart's native resolution, avoiding lookahead biases unless repainting is enabled via input.
Parameter Guide
SMA Length — Controls smoothing of highs and lows for midline and range base; longer values dampen noise but increase lag. Default: 20. Trade-offs: Shortens responsiveness in trends (e.g., 10–14) but risks more flips; extend to 30+ for stability in ranging markets.
Multiplier — Scales band offsets from the half-range; higher amplifies to capture bigger swings. Default: 1.0. Trade-offs: Above 1.5 widens for volatile assets, reducing false signals; below 0.8 tightens for precision but may miss subtle shifts.
Show Bands — Toggles visibility of basic and adjusted band lines for reference. Default: false. Tip: Enable briefly to verify alignment with price action.
Show Background Color — Displays red tint on VWAP adverse crosses for visual warnings. Default: false. Trade-offs: Helps in live monitoring but can clutter clean charts.
Line Width — Sets thickness for event and VWAP lines. Default: 2. Tip: Thicker (3–5) for emphasis on key levels.
+Bars after next event — Extends old lines briefly before cleanup on new flips. Default: 20. Trade-offs: Longer preserves history (40+) at resource cost; shorter keeps charts tidy.
Allow Repainting — Permits live-bar updates for smoother real-time view. Default: false. Tip: Disable for backtest accuracy.
Extension 1 Settings (Show, Width, Size, Decimals, Colors, Alpha) — Manages dotted connector from event label to current close, showing percentage change. Defaults: Shown, width 2, normal size, 2 decimals, lime/red for gains/losses, gray line, 90% transparent background. Trade-offs: Fewer decimals for clean display; adjust alpha for readability.
Extension 2 Settings (Show, Method, Stop %, Ticks, Decimals, Size, Color, Inherit, Alpha) — Positions stop label at VWAP end, offset by percent or ticks. Defaults: Shown, percent method, 1.0%, 20 ticks, 4 decimals, normal size, white text, inherit tint, 0% alpha. Trade-offs: Percent for proportional risk; ticks for fixed distance in tick-based assets.
Alert Toggles — Enables notifications for breakouts, continuations, traps, or VWAP warnings. All default: true. Tip: Layer with chart alerts for multi-condition setups.
Reading & Interpretation
The main Supertrend line colors green for up-regimes (price above lower band) and red for down (below upper band), serving as a dynamic support/resistance trail. Flip shapes (up/down triangles) mark regime changes at band breaches.
Event lines extend horizontally from flips: green for bull, red for bear. Labels start blank and update to "Bull/Bear Cont." if price sustains the direction, or "Trap" if it reverses, with colors shifting lime/red/gray accordingly. A dotted vertical links the trailing label to the current close, mid-labeled with the percentage delta (positive green, negative red).
VWAP dashes yellow (bull) or orange (bear) from the event, curving to reflect volume-weighted average. At its end, a left-aligned label shows suggested stop price, annotated with offset details. Background red hints at weakening if price crosses VWAP opposite the regime.
Deltas near zero suggest consolidation; widening extremes signal momentum buildup or exhaustion.
Practical Workflows & Combinations
- Trend following: Enter long on green flip shapes confirmed by higher highs, using the event line as initial stop below. Trail stops to VWAP for bull runs, exiting on trap labels or red background warnings. Filter with volume spikes to avoid low-conviction breaks.
- Exits/Stops: Conservative: Set hard stops at suggested SL labels. Aggressive: Hold through minor traps if delta stays positive, but cut on regime flip. Pair with momentum oscillators for overbought pullbacks.
- Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m–4H; for crypto, bump multiplier to 1.5 for volatility. Scale SMA length proportionally across timeframes (e.g., double for daily). Combine with structure tools like Fibonacci for confluence on event lines.
Behavior, Constraints & Performance
Live bars update lines and labels dynamically if repainting is allowed, but signals confirm on close for stability—flips only trigger post-bar. No higher timeframe calls, so no inherent lookahead, though volume weighting assumes continuous data.
Resources cap at 1000 bars back, 50 lines/labels max; events prune old ones on new flips to stay under budget, with brief extensions for visibility. Arrays or loops absent, keeping it lightweight.
Known limits include lag in extreme gaps (e.g., overnight opens) where bands may not adjust instantly, and VWAP sensitivity to sparse volume in illiquid sessions.
Sensible Defaults & Quick Tuning
Start with SMA 20, multiplier 1.0 for balanced response across majors. For choppy pairs: Lengthen SMA to 30, multiplier 0.8 to tighten bands and cut flips. For trending equities: Shorten to 14, multiplier 1.2 for quicker entries. If traps dominate, enable bands to inspect range compression; for sluggish signals, reduce extension bars to focus on recent events.
What this indicator is—and isn’t
This serves as a visualization and signal layer for trend regimes and breakouts, highlighting sustainment via annotations and risk cues through VWAP—ideal atop price action for confirmation. It is not a standalone system, predictive oracle, or risk calculator; always integrate with broader analysis, position sizing, and stops. Use responsibly as an educational tool.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Indicator
