3CRGANG - Histogram (Basic)This indicator provides traders with a unified view of momentum by combining multiple classic oscillators into a single histogram. By aggregating momentum signals into one visual output, it simplifies trend analysis, helping traders identify momentum shifts without managing multiple indicators separately.
What It Does
The 3CRGANG - Histogram (Basic) calculates a momentum-based histogram using a user-selected oscillator (e.g., RSI, MACD, MFI, RVI, Stochastic, Stochastic RSI, or TMASlope). The histogram is plotted with color-coded bars to indicate bullish, bearish, or neutral momentum, alongside predefined alert levels and a trend status table for quick reference.
Why It’s Useful
This script addresses the challenge of monitoring multiple momentum indicators by consolidating them into a single histogram. Each oscillator measures momentum differently (e.g., RSI tracks price strength, MACD focuses on moving average convergence, MFI incorporates volume), but the script normalizes these signals into a unified output. This reduces chart clutter and provides a clear, actionable signal for identifying trend direction, making it easier for traders to focus on key momentum shifts across various market conditions.
How It Works
The script follows these steps to generate the histogram:
Oscillator Selection: Traders choose one oscillator to base the histogram on. For example: RSI measures the speed and change of price movements, MACD tracks the relationship between two exponential moving averages, and MFI combines price and volume to measure buying/selling pressure. The choice of oscillator affects the histogram’s sensitivity to price movements.
Fast Oscillator Calculation: A fast-moving oscillator is computed using the selected method over a user-defined period (default: 8 bars). For instance, RSI calculates the relative strength of price gains versus losses, while MACD computes the difference between short and long EMAs. The result is normalized to a range centered around zero.
Histogram Plotting: The oscillator’s output is adjusted by a modification factor (default: 1) for sensitivity tuning and plotted as a histogram. Positive values indicate bullish momentum, negative values indicate bearish momentum, and values near zero suggest a lack of clear trend.
Color Coding: Bars are colored based on momentum and price direction: green for bullish momentum (price moving upward, histogram value typically positive), red for bearish momentum (price moving downward, histogram value typically negative), and grey for neutral momentum (ranging conditions or unclear trend).
Alert Levels: Predefined buy and sell levels are plotted as dotted lines to mark significant momentum thresholds. For most oscillators, levels are set at 20 (buy) and -20 (sell), representing overbought/oversold conditions based on historical performance. For TMASlope, levels are adjusted to 0.04 and -0.04, as it measures the slope of a triangular moving average relative to the average true range (ATR).
Trend Table: A table in the top-right corner displays the current timeframe’s trend status ("Buy Only," "Sell Only," or "Ranging") based on the histogram value, price direction, and alert levels, along with the histogram’s numerical value.
Underlying Concepts
The script is built on the concept of momentum aggregation, aiming to capture short-term price dynamics while filtering noise. By using a fast-moving oscillator, it emphasizes recent price action, and the histogram format provides a visual summary of momentum strength. The alert levels are derived from typical overbought/oversold thresholds for each oscillator, adjusted to ensure consistency across different methods. The trend table adds a layer of interpretation, helping traders quickly assess whether the momentum aligns with the broader trend.
Use Case
Trending Markets: In a bullish trend, green bars above the buy alert level (e.g., 20) indicate strong upward momentum, suggesting potential long entries. In a bearish trend, red bars below the sell alert level (e.g., -20) suggest short opportunities.
Ranging Markets: Grey bars or values between alert levels indicate a lack of clear momentum, prompting caution or scalping strategies.
Confirmation Tool: Use the histogram to confirm price action signals, such as breakouts or reversals, by ensuring momentum aligns with the direction of the move. For example, a breakout with green bars above the buy level may signal a stronger trend.
Settings
Choose Type: Select the oscillator to use (default: RSI - CLASSIC).
Source: Choose between Close or HL2 price data (default: Close).
Histogram Length: Set the period for oscillator calculation (options: 5, 8, 13; default: 8).
Modification Factor: Adjust the sensitivity of the histogram (default: 1).
Notes
The script supports classic oscillators only and operates on the current timeframe.
If volume data is unavailable for your ticker, MFI calculations may not work; select another oscillator to continue plotting.
Disclaimer
This indicator is a tool for analyzing market trends and does not guarantee trading success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Komut dosyalarını "Buy sell" için ara
Uptrick: Stellar NexusOverview
Uptrick: Stellar Nexus is a multi-layered chart tool designed to help traders visualize market behavior with enhanced clarity and depth. It presents various overlays, signal triggers, and an asset-level behavioral table in one cohesive interface. Its core focus is to illustrate how different market states shift over time. By displaying directional structures, dynamic zones, momentum shifts, and a real-time probability assessment of multiple assets, it aims to deliver a comprehensive perspective for those looking to navigate complex market environments more confidently.
Purpose
The primary purpose of Stellar Nexus is to unify several market assessment methods into a single framework, sparing users the need to rely on multiple disjointed indicators. It is especially useful for traders who value having layered signals, interactive overlays, and a quick reference to asset-specific metrics within one tool. By consolidating multiple market insights, the script aspires to reduce guesswork, limit information overload, and present clear triggers for potential trade opportunities or risk management decisions.
Originality
Stellar Nexus stands out because it relies on a proprietary set of logic layers, each carefully designed to detect nuanced shifts in price movement. The script brings forward a streamlined depiction of underlying market changes through color-coded zones, shape markers, and short textual tags. Its architecture also accommodates multiple “modes” of viewing the market—be it through layered cloud structures, trend ribbons, or step-based overlays—so traders can adapt its outputs to match changing conditions. The presence of a specialized probability table and a real-time market state meter (HUD Meter) further underscores its uniqueness, providing at-a-glance scoring for various instruments and a gauge that visually displays ongoing transitions from trending to ranging phases.
Inputs
Stellar Nexus includes several user-configurable settings, organized into themed groups. Each input subtly modifies how information is derived or rendered on the chart:
General
Silken Veil (integer input) : Governs how smooth or responsive various underlying signals will appear.
Canvas (dropdown) : Chooses the primary visual overlay style among Nebula Trail, Velora, or Stellar Stepfilter.
Signals (dropdown) : Selects which built-in signal engine (Fluxor or Flowgen) is responsible for painting buy and sell markers.
Nova Tension (integer input) : Influences the internal motion sensitivity used by certain triggers.
Astral Ribbon (integer input) : Imparts a broader directional bias layer that can highlight whether the current environment is bullish or bearish.
Bands
Phase Delay (integer input) : Impacts baseline offsets for certain dynamic band calculations.
Band Softener (float input) : Creates a blended baseline, balancing two distinct smoothing techniques.
Spread Factor (float input) : Scales how wide or narrow the generated envelope bands become.
Layer Offset (float input) : Adjusts spacing between multiple layered boundaries in the band structure.
Smooth Mode (dropdown boolean) : Toggles an extra layer of smoothing on or off for the plotted envelopes.
Feed Matrix
Burst (integer input) : Adjusts how the Flowgen engine interprets momentum buildup. Higher values generally lead to more conservative signals.
Delta Curve Sync (integer input) : Alters the sensitivity of directional alignment within the Flowgen system, refining how quickly the script adapts to market slope changes.
Lambda Pulse Shift (integer input) : Controls timing offsets within the Flowgen structure, subtly influencing the trigger timing of transitions.
Sync Drift Limit (integer input) : Provides a stabilizing effect on the internal motion detection engine, helping reduce erratic behavior during choppy conditions.
WMA Open Filter Tunnel (integer input) : Filters signal validity by applying a dynamic range check on opening price structures, reducing false positives in unstable markets.
Probability Table
Show Predictability Table (boolean) : Enables or disables a table of asset metrics.
Show Numeric Values (boolean) : Switches between displaying numeric values and using simple directional markers in the table cells.
Stepfilter
Sensitivity (dropdown) : Offers a range of speed profiles (Very Fast to Very Slow and TURTLE option) that define how quickly or slowly the step-based overlay reacts to price changes.
HUD Meter
Show Stellar HUD Meter (boolean) : Turns on or off a specialized gauge for quick insight into trending vs. ranging conditions.
Take Profit Signals
Show TP Signals (boolean) : Determines whether exit or take-profit markers are displayed after certain conditions have been met.
Phase Length (integer input) : Influences the internal baseline used for the exit signal logic.
Sync Channel (integer input) : Sets a period within which different data points are compared or synced.
Filter (integer input) : Imposes an additional smoothing on exit-related cues.
Features
Signals (Fluxor and Flowgen)
Fluxor
Logic: Fluxor focuses on detecting specific price transitions, validating them against an internal directional and momentum layer, and then confirming the move based on the script’s overarching market bias.
Visual Representation: When Fluxor is activated, up and down label markers (“▲+” or “▼+”) appear at points the system regards as noteworthy transitions. These do not guarantee trades but are designed to guide users on when buying or selling pressure may have intensified or reversed.
How It Helps: Fluxor is streamlined for those who want simpler, clearer triggers that factor in both trend alignment and short-term motion shifts. This option is more for mean reversion traders.
Flowgen
Logic: Flowgen employs a slightly more sophisticated approach that evaluates multiple “environmental layers,” including structural alignment, directional slope checks, and distinct open-state filters.
Visual Representation: When Flowgen senses a valid transition, it prints discrete up and down markers, much like Fluxor, but triggered by different, multi-layer considerations.
How It Helps: Flowgen caters to traders who desire more emphasis on layered agreement—where multiple aspects of the market must line up before a signal is shown. This option is more for trend following traders.
Overlays (Nebula Trail, Velora, Stellar Stepfilter)
Nebula Trail
Purpose: This indicator employs dynamic, color-coded bands around price action to illustrate prevailing market bias and track which side—bulls or bears—wields greater influence, aligning with a trend-following approach.
Usage: This indicator creates outer and inner “band” regions that can function as potential support or resistance in alignment with market momentum. In bullish phases, the cloud below price acts as a supportive barrier, whereas during bearish conditions, the cloud above price provides a point of resistance. When a bearish signal is detected, traders may enter short positions on a price bounce off this band and then exit when subsequent take-profit cues appear, effectively leveraging the band for both entry and exit strategies.
Velora
Purpose: Extends the concept of band visualization into layered “tiers,” giving a more fine-grained view of how price transitions from one band to another.
Representation: Zones are subdivided into multiple steps, each with distinct shading. As the script’s internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract to reflect changing momentum.
Usage: Velora subdivides zones into multiple steps, each featuring distinct shading. As the script's internal logic detects shifts between bullish or bearish conditions, these layered bands expand or contract, signaling changes in momentum. When price enters the upper band, especially if the HUD meter shows less definitive momentum, it may hint at a non-trending environment; conversely, in a bearish scenario, the lower band can act as potential support. Narrower bands often point to an impending breakout, while wider bands can suggest a possible reversion in price. Velora is well-suited for traders wanting to see more intermediate zones where the market may hesitate or show partial confirmation—ideal for refined entries or exits.
Smooth:
Choppy:
Stellar Stepfilter
Purpose: Focuses on a persistent directional line that only updates when the script’s logic deems a genuine shift is taking place.
Representation: A single line plots on the chart to represent the “locked” direction. During periods of noise or indecision, this line may remain static, reducing false signals. Optionally, bars can be recolored to reflect bullish or bearish states.
Usage: Traders who prefer a minimalistic, stand-back approach often select Stellar Stepfilter for its ability to filter out choppy conditions and highlight clearer momentum strides. When the line remains flat—particularly in the very slow or “turtle” mode—it signals a ranging market, offering valuable insight into periods of reduced volatility. In TURTLE mode, bars are recolored green or orange to reflect locked trend direction more visibly. TURTLE mode offers the most conservative setting within the Stepfilter engine, emphasizing stability and clarity by reacting only to the strongest directional conditions and visually reinforcing its state through bar coloring.
Very Fast
Very Slow
TURTLE Mode
Probability Table
Description: The Probability Table is displayed on the top-right corner (by default). It automatically fetches data for a handful of assets (in this case, five popular cryptocurrencies), then scores each asset on multiple behavioral metrics. By default, the Probability Table monitors SOL, BTC, ETH, BNB, and XRP from Binance.
Metrics Explained:
HV: Suggests how the asset’s price is fluctuating relative to a standard reference.
ATR/Vol: A ratio that provides insight into volatility compared to trading activity.
WBR: Compares candle wicks against their bodies to gauge the frequency of price swings outside an open-close range.
Liq Clust: Indicates if there are pockets of stable or unstable liquidity.
Momentum: Observes shifts in buying or selling pressure.
PRI: Shows a baseline measure of how far price has deviated from a certain average over time.
Final Verdict: Based on each metric’s reading, an overall classification emerges: Predictable, Moderate, or Chaotic.
How It Helps: Traders can quickly scan this table to see if an asset’s environment is “Predictable” (potentially more structured), “Moderate” (balanced or transitional), or “Chaotic” (unstable and riskier). Each cell can optionally show either numeric approximations or simple “up/down” arrows to reduce clutter.
Non Numeric Values
Numeric Values
Stellar HUD Meter
Description: Located at the top center of the chart, this horizontal gauge toggles between “Trending” and “Ranging,” representing how firmly price is locked in directional expansion versus sideways hesitation.
Mechanics (General): The gauge increments or decrements over time, smoothing out abrupt shifts. A pointer slides across the meter, indicating whether conditions are leaning more toward persistent momentum or uncertain, choppy movement.
How It Helps: This immediate visual feedback helps traders decide if momentum strategies or mean-reversion approaches are more suitable at a given moment, avoiding reliance on guesswork alone.
Take Profit Signals
Description: After any buy or sell trigger occurs (either through Fluxor or Flowgen), the script can flag up to three potential exit points.
Trigger Logic (General): These exits appear when certain internal checks sense that short-term upside or downside pressure may be waning.
Representation: Small markers (“X”) appear near the top or bottom of the candle.
How It Helps: Rather than passively holding a position, these optional signals remind traders of possible exhaustion points. If they choose to follow them, it can help secure partial or full profits during a trend.
Why more than one indicator?
Having more than one internal indicator engine allows Stellar Nexus to adapt to different market behaviors and personal trading styles. Sometimes traders require swift, high-frequency triggers (Fluxor). Other times, they prefer more layered agreement before taking a position (Flowgen). Similarly, each overlay—Nebula Trail, Velora, and Stellar Stepfilter—offers a distinct method for visualizing price action. Markets are dynamic, and no single representation is ideal for all conditions. By blending multiple approaches into one script, Stellar Nexus provides flexibility: a user can switch between sets of signals or overlays based on market phase, personal risk preference, or the timeframe being traded.
Additional Features
Alert System: Built-in alerts for every trigger or state change ensure that traders can receive real-time notifications, even when away from the chart. The alert system includes buy/sell triggers, trend shifts, overlay transitions, take-profit points, and predictability status changes across monitored assets.
Selective Visibility: Users can enable or disable various modules—Probability Table, HUD Meter, Take Profit Signals—to keep their chart interface uncluttered.
State Persistence: Certain modules “lock in” their reading until a strong reason emerges to change it, which can help minimize false flips in volatile conditions.
Tailored Aesthetics: Color choices and label styling are curated to be visually distinct, reducing confusion when multiple signals or overlays occur simultaneously.
Conclusion
Uptrick: Stellar Nexus is a comprehensive, multi-layer script that merges aesthetic clarity with functional depth. It combines diverse overlays, signal engines, probability analyses, and a heads-up market meter into one cohesive tool. By handling trending vs. ranging states, evaluating asset predictability, and offering selective take-profit cues, it serves as a versatile companion for traders who want organized, visually intuitive guidance. Its originality is found not only in how it disguises internal computations, but in the ease with which users can cycle through different overlays and signals to suit changing market conditions. As always, personal due diligence, market awareness, and risk management remain essential. Stellar Nexus simply provides a refined canvas on which to read and interpret price action more confidently.
Disclaimer
This indicator is provided solely for informational and educational purposes. It does not constitute investment advice or a recommendation to engage in any trading activities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own research, utilize proper risk management, and consider consulting a qualified financial professional before making any investment decisions. Neither the creator nor any contributors to this script accept any liability for financial losses or damages arising from its use. Users of this indicator assume full responsibility for their trading activities.
RSI VWAP POC [Uncle Sam Trading]Category: Oscillators, Volume, Market Profile
Timeframe: Suitable for all timeframes
Markets: Crypto, Forex, Stocks, Commodities
Overview
The RSI VWAP POC indicator is a powerful and innovative oscillator that combines the Relative Strength Index (RSI), Volume-Weighted Average Price (VWAP), and Point of Control (POC) from market profile analysis. Designed to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels, spot overbought/oversold conditions, and time your entries and exits with precision. Whether you’re a day trader, swing trader, or scalper, this free tool adds significant value to your trading strategy by offering a unique blend of momentum, volume, and market profile insights.
How It Works
This indicator integrates three core components to deliver actionable insights:
RSI (Relative Strength Index): Measures momentum to identify overbought (above 70) and oversold (below 30) conditions, helping you anticipate potential reversals.
VWAP (Volume-Weighted Average Price): Calculates a volume-weighted price benchmark, which is used to compute a more accurate, volume-sensitive RSI. This ensures the indicator reflects true market dynamics.
POC (Point of Control): Derived from market profile analysis, the POC represents the price level with the highest traded volume in a session, acting as a critical support or resistance level.
The indicator plots a smoothed RSI based on VWAP, overlaid with market profile data on a user-defined higher timeframe (default: 4H). The POC is displayed as a red line, with aqua bars indicating the value area where the majority of trading volume occurred. When the RSI crosses the POC, the indicator generates clear buy and sell signals:
Strong Buy (SBU): RSI crosses above the POC in an oversold zone.
Strong Sell (SBD): RSI crosses below the POC in an overbought zone.
Additional features include:
Background colors to highlight bullish (green) or bearish (red) trends.
Shaded zones for overbought (70/60) and oversold (30/40) levels.
Customizable settings to fit your trading style and timeframe.
How This Indicator Adds Value
The RSI VWAP POC indicator offers several key benefits that enhance your trading performance:
High-Probability Signals: By combining RSI, VWAP, and POC, this indicator identifies trades at key market levels where price is likely to react, increasing your win rate.
Improved Timing: Clear buy and sell signals, such as ‘SBU’ and ‘SBD’, help you enter and exit trades at optimal points, maximizing profitability.
Risk Management: Overbought/oversold zones and trend confirmation via background colors help you avoid false signals, protecting your capital.
Versatility: Suitable for all markets (crypto, forex, stocks) and timeframes, making it a valuable tool for traders of all experience levels.
Time Efficiency: The indicator does the heavy lifting by analyzing momentum, volume, and market profile data, allowing you to focus on executing trades.
Real-World Performance Example: On a 1-hour Bitcoin chart with a 4-hour higher timeframe, this indicator identified a strong sell signal on April 6th at 12:00 ($82,000), leading to a 9% drop to $74,600. A subsequent strong buy signal on April 7th at 04:00 ($76,200) captured a 6% rise to $81,200 – a potential 25% profit with 5x leverage if exited at 5%.
How to Use
Add the Indicator: Search for “RSI VWAP POC ” in TradingView’s indicator library and add it to your chart.
Set Your Timeframe: The indicator works on any timeframe but is optimized for a 1-hour chart with a 4-hour higher timeframe (set in the settings).
Interpret Signals:
Look for ‘SBU’ (strong buy) labels when the RSI crosses above the POC in an oversold zone, indicating a potential buying opportunity.
Look for ‘SBD’ (strong sell) labels when the RSI crosses below the POC in an overbought zone, signaling a potential selling opportunity.
Use the background colors (green for bullish, red for bearish) to confirm the trend.
Combine with Your Strategy: Use the indicator alongside your existing analysis (e.g., support/resistance, candlestick patterns) for best results.
Settings and Customization
The indicator is highly customizable to suit your trading needs:
RSI Length (Default: 14): Adjust the sensitivity of the RSI. Use a shorter length (e.g., 10) for scalping, or a longer length (e.g., 20) for smoother signals.
EMA Smoothing Length (Default: 3): Smooths the RSI line. Increase to 5 or 7 for less choppy signals in volatile markets.
Higher Timeframe (Default: 240 minutes): Set to 240 (4 hours) for a 1-hour chart. Adjust based on your chart’s timeframe (e.g., 60 minutes for a 15-minute chart).
Value Area Percentage (Default: 100%): Defines the size of the value area around the POC. Lower to 70% for a tighter focus on key levels.
Overbought/Oversold Thresholds (Defaults: 70/30): Adjust these levels to match market conditions (e.g., 80/20 for trending markets).
Show POC Line (Default: True): Toggle the red POC line on or off.
Show Buy/Sell Signals: Enable ‘Show Strong Breakup Signals’ and ‘Show Strong Breakdown Signals’ to focus on high-probability trades.
Why Choose This Indicator?
The RSI VWAP POC indicator stands out by offering a unique combination of momentum, volume, and market profile analysis in a single, easy-to-use tool. It’s designed to help traders of all levels make informed decisions, reduce risk, and increase profitability. Whether you’re trading Bitcoin, forex pairs, or stocks, this indicator provides the clarity and precision you need to succeed.
Stochastic Order Flow Momentum [ScorsoneEnterprises]This indicator implements a stochastic model of order flow using the Ornstein-Uhlenbeck (OU) process, combined with a Kalman filter to smooth momentum signals. It is designed to capture the dynamic momentum of volume delta, representing the net buying or selling pressure per bar, and highlight potential shifts in market direction. The volume delta data is sourced from TradingView’s built-in functionality:
www.tradingview.com
For a deeper dive into stochastic processes like the Ornstein-Uhlenbeck model in financial contexts, see these research articles: arxiv.org and arxiv.org
The SOFM tool aims to reveal the momentum and acceleration of order flow, modeled as a mean-reverting stochastic process. In markets, order flow often oscillates around a baseline, with bursts of buying or selling pressure that eventually fade—similar to how physical systems return to equilibrium. The OU process captures this behavior, while the Kalman filter refines the signal by filtering noise. Parameters theta (mean reversion rate), mu (mean level), and sigma (volatility) are estimated by minimizing a squared-error objective function using gradient descent, ensuring adaptability to real-time market conditions.
How It Works
The script combines a stochastic model with signal processing. Here’s a breakdown of the key components, including the OU equation and supporting functions.
// Ornstein-Uhlenbeck model for volume delta
ou_model(params, v_t, lkb) =>
theta = clamp(array.get(params, 0), 0.01, 1.0)
mu = clamp(array.get(params, 1), -100.0, 100.0)
sigma = clamp(array.get(params, 2), 0.01, 100.0)
error = 0.0
v_pred = array.new(lkb, 0.0)
array.set(v_pred, 0, array.get(v_t, 0))
for i = 1 to lkb - 1
v_prev = array.get(v_pred, i - 1)
v_curr = array.get(v_t, i)
// Discretized OU: v_t = v_{t-1} + theta * (mu - v_{t-1}) + sigma * noise
v_next = v_prev + theta * (mu - v_prev)
array.set(v_pred, i, v_next)
v_curr_clean = na(v_curr) ? 0 : v_curr
v_pred_clean = na(v_next) ? 0 : v_next
error := error + math.pow(v_curr_clean - v_pred_clean, 2)
error
The ou_model function implements a discretized Ornstein-Uhlenbeck process:
v_t = v_{t-1} + theta (mu - v_{t-1})
The model predicts volume delta (v_t) based on its previous value, adjusted by the mean-reverting term theta (mu - v_{t-1}), with sigma representing the volatility of random shocks (approximated in the Kalman filter).
Parameters Explained
The parameters theta, mu, and sigma represent distinct aspects of order flow dynamics:
Theta:
Definition: The mean reversion rate, controlling how quickly volume delta returns to its mean (mu). Constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)).
Interpretation: A higher theta indicates faster reversion (short-lived momentum), while a lower theta suggests persistent trends. Initial value is 0.1 in init_params.
In the Code: In ou_model, theta scales the pull toward \mu, influencing the predicted v_t.
Mu:
Definition: The long-term mean of volume delta, representing the equilibrium level of net buying/selling pressure. Constrained between -100.0 and 100.0 (e.g., clamp(array.get(params, 1), -100.0, 100.0)).
Interpretation: A positive mu suggests a bullish bias, while a negative mu indicates bearish pressure. Initial value is 0.0 in init_params.
In the Code: In ou_model, mu is the target level that v_t reverts to over time.
Sigma:
Definition: The volatility of volume delta, capturing the magnitude of random fluctuations. Constrained between 0.01 and 100.0 (e.g., clamp(array.get(params, 2), 0.01, 100.0)).
Interpretation: A higher sigma reflects choppier, noisier order flow, while a lower sigma indicates smoother behavior. Initial value is 0.1 in init_params.
In the Code: In the Kalman filter, sigma contributes to the error term, adjusting the smoothing process.
Summary:
theta: Speed of mean reversion (how fast momentum fades).
mu: Baseline order flow level (bullish or bearish bias).
sigma: Noise level (variability in order flow).
Other Parts of the Script
Clamp
A utility function to constrain parameters, preventing extreme values that could destabilize the model.
ObjectiveFunc
Defines the objective function (sum of squared errors) to minimize during parameter optimization. It compares the OU model’s predicted volume delta to observed data, returning a float to be minimized.
How It Works: Calls ou_model to generate predictions, computes the squared error for each timestep, and sums it. Used in optimization to assess parameter fit.
FiniteDifferenceGradient
Calculates the gradient of the objective function using finite differences. Think of it as finding the "slope" of the error surface for each parameter. It nudges each parameter (theta, mu, sigma) by a small amount (epsilon) and measures the change in error, returning an array of gradients.
Minimize
Performs gradient descent to optimize parameters. It iteratively adjusts theta, mu, and sigma by stepping down the "hill" of the error surface, using the gradients from FiniteDifferenceGradient. Stops when the gradient norm falls below a tolerance (0.001) or after 20 iterations.
Kalman Filter
Smooths the OU-modeled volume delta to extract momentum. It uses the optimized theta, mu, and sigma to predict the next state, then corrects it with observed data via the Kalman gain. The result is a cleaner momentum signal.
Applied
After initializing parameters (theta = 0.1, mu = 0.0, sigma = 0.1), the script optimizes them using volume delta data over the lookback period. The optimized parameters feed into the Kalman filter, producing a smoothed momentum array. The average momentum and its rate of change (acceleration) are calculated, though only momentum is plotted by default.
A rising momentum suggests increasing buying or selling pressure, while a flattening or reversing momentum indicates fading activity. Acceleration (not plotted here) could highlight rapid shifts.
Tool Examples
The SOFM indicator provides a dynamic view of order flow momentum, useful for spotting directional shifts or consolidation.
Low Time Frame Example: On a 5-minute chart of SEED_ALEXDRAYM_SHORTINTEREST2:NQ , a rising momentum above zero with a lookback of 5 might signal building buying pressure, while a drop below zero suggests selling dominance. Crossings of the zero line can mark transitions, though the focus is on trend strength rather than frequent crossovers.
High Time Frame Example: On a daily chart of NYSE:VST , a sustained positive momentum could confirm a bullish trend, while a sharp decline might warn of exhaustion. The mean-reverting nature of the OU process helps filter out noise on longer scales. It doesn’t make the most sense to use this on a high timeframe with what our data is.
Choppy Markets: When momentum oscillates near zero, it signals indecision or low conviction, helping traders avoid whipsaws. Larger deviations from zero suggest stronger directional moves to act on, this is on $STT.
Inputs
Lookback: Users can set the lookback period (default 5) to adjust the sensitivity of the OU model and Kalman filter. Shorter lookbacks react faster but may be noisier; longer lookbacks smooth more but lag slightly.
The user can also specify the timeframe they want the volume delta from. There is a default way to lower and expand the time frame based on the one we are looking at, but users have the flexibility.
No indicator is 100% accurate, and SOFM is no exception. It’s an estimation tool, blending stochastic modeling with signal processing to provide a leading view of order flow momentum. Use it alongside price action, support/resistance, and your own discretion for best results. I encourage comments and constructive criticism.
Gann Percentage of High & Low Prices for Options - Keanu_RiTzThis Indicator is based on the text from Chapter 4 "Percentage of High & Low Prices" page number "30" from the book "WD Gann 45 years in Wall Street".
This Indicator is to be used on Intraday Timeframes and only on Options Charts (CALL & PUT) and not on any other chart.
The following is the text from that page :-
One of the greatest discoveries I ever made was how to figure the percentage of high and low prices on the averages and individual stocks.
The percentages of extreme high and low levels indicate future resistance levels.
There is a relation between every low price to some future high price and a percentage of the low price indicates what levels to expect the next high price.
At this price you can sell out long stocks and sell short with a limited risk.
The extreme high price or any minor tops are related to future bottoms er low levels.
The percentage of the high price tells where to expect low prices in the future and gives you resistance levels where you can buy with a limited risk.
The most important resistance level is 50% of any high or low price.
Second in importance is 100% on the lowest selling price on the averages or individual stocks.
You must also use 200%, 300%, 400%, 500%, 600% or more, depending upon the price and the Time Periods from High and Low.
Third in importance is 25% of the Lowest price or the Highest price.
Fourth in importance is 121/2% of the extreme Low or extreme High price.
Fifth in importance is 61/4% of the Highest price, but this is only to be used when the averages or individual stocks are selling at very high levels.
Sixth in importance is 33 1/3 and 66 2/3%. These percentages should be calculated and watched for resistance next after 25% and after 50%.
You should always have percentage tables made up on the Industrial Averages and on the individual stocks you trade in in order to know where these important resistance levels are located.
Description :
It plots the Intraday % levels from the highest high and lowest low of that day.
The calculation of these levels is based on the text from Chapter 4 "Percentage of High & Low Prices" page number "30" from the book "WD Gann 45 years in Wall Street".
I developed this indicator to see if those percentages work on Options prices or not,
and from my observation I found that it works wonderfully in Options as well.
These % levels work like magic and act as great Dynamic Support and Resistance levels.
Don't trust my words blindly and see for yourself.
This indicator is for educational and research purpose only.
It does not provide any BUY/SELL signals.
CVD Divergence Insights📘 CVD Divergence Insights – by Colicoid
Pine Script v6 | Volume Delta Divergence Oscillator with Spike Detection
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🔍 Overview
CVD Divergence Insights is a volume-aware oscillator and divergence spike detector that helps you spot smart money activity, absorption, failed pressure, and hidden strength or weakness — even when price action alone gives little away.
It works by comparing normalized Cumulative Volume Delta (CVD) against normalized price movement, and optionally applying a volume-weighting layer to highlight when aggressive participation is truly behind the divergence. The result is a dynamic visual tool that identifies tension in the market, and helps you trade based on how that tension resolves.
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🧠 Core Concept
• When price moves one way and CVD moves another, it reflects imbalance between aggression and result.
• Divergence is not a trigger — it’s a build-up of pressure.
• The real edge lies in the resolution of that pressure.
• Optional volume-weighting helps you ignore noise and focus on high-conviction moves only.
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⚙️ How It Works
1. CVD Calculation
CVD is generated using lower-timeframe delta volume (buy vs. sell pressure), accumulated per bar.
2. Oscillator
A normalized divergence between the smoothed CVD and smoothed price.
3. Volume Weighting (optional)
Emphasizes divergences occurring on higher-than-normal volume, deprioritizes low-volume noise.
4. Signal Line (optional)
A short EMA of the oscillator to help track momentum shifts (hidden by default).
5. Divergence Spikes
Statistical spike detection using standard deviation — green/red dots highlight unusually large divergence activity.
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🎛️ Inputs
Anchor Period
Higher timeframe where the CVD is accumulated and processed.
Lower Timeframe
Optional override for granularity of buy/sell volume data.
SMA Length
Used for smoothing both price and CVD before divergence is calculated.
Volume Weighted?
Enables adaptive weighting based on relative volume size.
Volume Normalization Length
Lookback period used to define what is “normal” volume.
Divergence Spike Threshold
StdDev-based threshold to detect abnormally large divergences.
Signal Line Length
Controls the EMA smoothing of the optional signal line (hidden by default).
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📈 Trade Setup Example: Hidden Bullish Divergence
1. Price forms a higher low, but CVD forms a lower low — hidden bullish divergence.
2. This shows aggressive sellers are trying, but price is resilient — likely absorption.
3. You wait for a "convergent signal bar":
• A bullish candle with strong structure or body
• Confirmed by CVD starting to turn upward
4. That’s your trigger bar — the tension resolves upward.
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🤝 Recommended Pairings
For best results, combine CVD Divergence Insights with the companion script:
🔗 Cumulative Volume Delta Line (also by Colicoid)
This lets you:
• See the raw CVD line and its SMA visually
• Spot standard and hidden divergences in price/CVD directly
• Use the Insights indicator to evaluate divergence quality and flag aggressive bull/bear behavior
• Use the same SMA length on both indicators for alignment
👉 Tip: To save screen space, drag the CVD Line indicator into the same panel as CVD Divergence Insights.
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🧰 Why Use This?
• ✅ Catch absorption setups and failed pressure zones
• ✅ Filter out low-quality divergences using volume context
• ✅ Understand why price is hesitating or breaking out
• ✅ Add smart confirmation to breakout/reversal trades
• ✅ Align your execution with who’s actually in control
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📎 Created by Colicoid
Built in Pine Script v6 for advanced price-volume analysis, with focus on effort vs result, market psychology, and smart money detection.
McClellan Oscillator - IRUS Optimized🧠 McClellan Oscillator (IRUS Index)
Type: Market Breadth Indicator
Category: Breadth, Momentum
Purpose: Gauge the internal strength of the IRUS index and anticipate trend reversals
📌 Based on
This indicator is built on the concept of advancing vs. declining issues — the number of stocks rising vs. falling each day within the IRUS index (a custom group of 40 Russian stocks).
It calculates the net advances (advancers minus decliners), then applies two exponential moving averages (EMA):
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McClellan Oscillator = EMA_19(Net Advances) - EMA_39(Net Advances)
Where:
Net Advances = Number of advancing stocks - Number of declining stocks
Calculated from a fixed set of 40 IRUS stocks
🧭 What it shows
Above 0 → more stocks are rising: market is internally strong.
Below 0 → more stocks are falling: underlying weakness.
Rising from below -100 → oversold breadth, possible bullish reversal.
Falling from above +100 → overbought breadth, possible correction.
🎯 How to use it
1. Buy/Sell Signals
Buy: Oscillator drops below -100 and turns up → oversold, potential rally.
Sell: Oscillator rises above +100 and turns down → overbought, risk of pullback.
2. Trend Strength Confirmation
Sustained above 0 → confirms bullish trend.
Crosses below 0 → early warning of weakening market breadth.
3. Divergences with IRUS Price
IRUS rises, but Oscillator falls → narrowing leadership, bearish divergence.
IRUS falls, but Oscillator rises → improving breadth, bullish divergence.
⚠️ Notes
The oscillator measures participation, not price.
Works best with daily timeframe.
Does not account for volume or magnitude of price moves.
Use with price action or other indicators for confirmation.
⚙️ Custom Implementation
This version is specifically adapted for the IRUS index, using a fixed list of 40 component stocks.
Optimized for Pine Script v6 and complies with TradingView's request limits (max 40).
[blackcat] L2 Gradient RSIVWAPOVERVIEW
The L2 Gradient RSIVWAP indicator offers traders a powerful tool for assessing market conditions by combining Relative Strength Index (RSI) with Volume Weighted Average Price (VWAP). It features dynamic coloring and clear buy/sell signals to enhance decision-making.
Customizable Inputs: Adjust key parameters such as RSI-VWAP length, oversold/overbought levels, and smoothing period.
Gradient Color Visualization: Provides intuitive gradient coloring to represent RSI-VWAP values.
Buy/Sell Indicators: On-chart labels highlight potential buying and selling opportunities.
Transparent Fills: Visually distinguishes overbought and oversold zones without obscuring other data.
Access the TradingView platform and select the chart where you wish to implement the indicator.
Go to “Indicators” in the toolbar and search for “ L2 Gradient RSIVWAP.”
Click “Add to Chart” to integrate the indicator into your chart.
Customize settings via the input options:
Toggle between standard RSI and RSI-based VWAP.
Set preferred lengths and thresholds for RSI-VWAP calculations.
Configure the smoothing period for ALMA.
Performance can vary based on asset characteristics like liquidity and volatility.
Historical backtests do not predict future market behavior accurately.
The ALMA function, developed by Arnaud Legoux, enhances response times relative to simple moving averages.
Buy and sell signals are derived from RSI-VWAP crossovers; consider additional factors before making trades.
Special thanks to Arnaud Legoux for creating the ALMA function.
Power Struggle [GOODY]📊 Power Struggle – Gauge the Battle Between Bulls & Bears
"Power Struggle " is an advanced, multi-layered market strength and momentum analysis tool. It combines the classic Elder Impulse System and Elder-Ray Power Columns with modern enhancements like visual gauges, momentum shift alerts, and volume-based divergence detection — all in one clean and intuitive interface.
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🧠 What This Indicator Shows You:
✅ Bull vs Bear Power Columns
• Visualize who’s in control with clean columns showing Bull and Bear dominance.
• Fully integrated with EMA-based Impulse logic to detect trend conviction.
✅ Buy/Sell Signal Labels & Alerts
• Trend-following signals based on dynamic power thresholds.
• Green = Bull Confirmed | Red = Bear Confirmed
• Alerts included for all signal and divergence conditions.
✅ Dynamic Volume Gauge (Horizontal or Vertical)
• A powerful gauge showing real-time buyer/seller strength.
• Includes divergence detection when volume and price disagree, often a warning sign.
• 🔄 Fully customizable layout, position, flip, rotation, and gradient styling.
✅ Active Column Gauge
• Tracks real-time momentum shifts within each candle.
• Highlights power shifts with emoji markers (🐂/🐻), and calculates where price closes within each candle's range.
✅ Volume-in-Candle Labels (Optional)
• See raw Buy vs Sell volume numbers inside the candles.
• Easily spot if price moves are supported by actual volume.
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⚙️ Customizable Settings
• 🎚️ Set thresholds for signal strictness
• 🔔 Use built-in alerts for:
o Bullish/Bearish Impulse
o Bull/Bear Power Thresholds
o Bullish/Bearish Divergences
o Momentum Shifts
Four-Color Order Flow System Four-Color Order Flow System – Smart Money Liquidity Tracking
Revolutionizing Market Structure with a Four-Color Candle System
Traditional candlestick charts lack real-time liquidity visibility, forcing traders to rely on lagging indicators. The Four-Color Order Flow System solves this by integrating Order Blocks (OBs), Accumulation/Distribution (AD), Swing High/Low (SH/SL), and Delta metrics directly into the candle structure. This mashup of volume, price action, and liquidity flow gives traders an intuitive and immediate read on market conditions.
📌 Key Features & How They Work Together
🔹 Four-Color Candles – A Visual Edge Over Traditional Charts
Instead of basic red/green candles, we introduce a four-color system to highlight key liquidity shifts:
• 🔴 Red – Bearish pressure, aggressive sellers dominating.
• 🟢 Green – Bullish pressure, buyers stepping in.
• 🔵 Blue – Swing Highs (SH), Bullish Order Blocks (OBs), Accumulation zones.
• 🟡 Yellow – Swing Lows (SL), areas of liquidity sweep or potential reversal.
This eliminates the need to switch between multiple indicators—price structure, liquidity zones, and order flow are embedded directly into the chart.
🔹 EMA Logic – The Trend Foundation
The EMA acts as the core trend filter, dynamically adjusting to market bias. When combined with delta and liquidity flow, it helps traders confirm whether price action aligns with smart money movements.
🔹 Order Flow & Liquidity Mashup – What’s Really Moving the Market?
📊 Rolling Delta & Cumulative Delta – Track aggressive buyers/sellers and confirm if momentum is sustained or fading.
💰 Liquidity Flow & Shift – Shows whether market makers are accumulating or distributing, helping traders avoid fake breakouts.
📈 Money Flow Index & Value – Measures real institutional participation vs. retail noise.
These elements combine to validate price moves, making it clear when smart money is truly in control.
🔹 Swing Highs & Lows – Market Structure in Real-Time
SH/SL markers don’t lag behind multiple candles like in traditional indicators. Instead, they align with OBs and liquidity flow, giving a strong confirmation of trend continuation or reversal.
🔹 Live Label Update – Real-Time Market Intelligence
The dynamic label box provides a live feed of critical metrics, including:
✅ EMA Bias – Confirms market direction.
✅ Rolling & Cumulative Delta – Tracks aggressive buy/sell imbalances.
✅ Liquidity Flow & Money Flow Index – Confirms institutional strength.
✅ FVG Execution Scanning (Coming Soon!)
This ensures traders have instant insight into market conditions without needing to check multiple sources.
📈 Why Traders Need This System
🔹 Faster Decision-Making – No need to flip between indicators; everything is visible on the chart.
🔹 Clearer Liquidity Insights – Order flow, delta, and structure all in sync.
🔹 Works for Scalping & Day Trading – Designed for real-time execution, not lagging signals.
By integrating order blocks, liquidity shifts, and a four-color candle system, this tool provides the most complete view of market control in a single chart.
📌 Stop reacting. Start anticipating. Trade with the flow of smart money.
5-Min First Candle Breakout/BreakdownAwesome! Here's a basic Pine Script (v5) for a First 5-minute candle breakout/breakdown strategy with Buy/Sell signals and price labels. This script works by capturing the high and low of the first candle of the session and then showing signals when those levels are broken.
You can customize it further for Entry, Stop Loss, Target, etc., but this gives you the foundation with labels for buys/sells based on breakout/breakdown.
Dual RSI SmootherUltimator's Dual RSI Smoother
Description:
The Dual RSI Smoother is a momentum-based indicator that applies two smoothed and amplified RSI calculations to analyze potential trend reversals and overbought/oversold conditions. By utilizing two separate RSI lengths and smoothing parameters, this tool provides a refined view of price momentum and potential trading signals.
Features:
Dual RSI Calculation – Computes two RSI values with separate user-defined lengths.
Smoothing & Amplification – Applies SMA-based smoothing and an amplification factor to enhance signal clarity.
Dynamic Line Colors – Adjusts colors based on RSI interactions to visually highlight important conditions.
Buy & Sell Signals – Displays buy dots when oversold conditions are detected and sell dots in overbought zones.
How to Use:
Buy Signals: Green dots appear when RSI conditions indicate an oversold market, suggesting a potential buying opportunity.
Sell Signals: Red dots appear when RSI conditions indicate an overbought market, suggesting a potential selling opportunity.
Trend Confirmation: The indicator’s smoothed RSI lines can help identify sustained trends when they diverge or cross.
User Inputs:
RSI Length 1 & 2: Adjusts the calculation periods for the two RSI values.
Line Colors: Customizable colors for fast and slow RSI lines.
Highlight Colors: Custom color for buy signal highlights.
Buy & Sell Dot Colors: Customizable colors for buy and sell signal markers.
Best Use Cases:
Identifying early reversals in overbought/oversold market conditions.
Confirming trend strength through smoothed RSI interactions.
Enhancing trade entries by aligning buy/sell signals with other momentum indicators.
BBVOL SwiftEdgeBBVOL SwiftEdge – Precision Scalping with Volume and Trend Filtering
Optimized for scalping and short-term trading on fast-moving markets (e.g., 1-minute charts), BBVOL SwiftEdge combines Bollinger Bands, Heikin Ashi smoothing, volume momentum, and EMA trend alignment to deliver actionable buy/sell signals with visual trend cues. Ideal for forex, crypto, and stocks.
What Makes BBVOL SwiftEdge Unique?
Unlike traditional Bollinger Bands scripts that focus solely on price volatility, BBVOL SwiftEdge enhances signal precision by:
Using Heikin Ashi to filter out noise and confirm trend direction, reducing false signals in choppy markets.
Incorporating volume analysis to ensure signals align with significant buying or selling pressure (customizable thresholds).
Adding an EMA overlay to keep trades in sync with the short-term trend.
Coloring candlesticks (green for bullish, red for bearish, purple for consolidation) to visually highlight market conditions at a glance.
How Does It Work?
Buy Signal: Triggers when price crosses above the lower Bollinger Band, Heikin Ashi shows bullish momentum (close > open), buy volume exceeds your set threshold (default 30%), and price is above the EMA. A green triangle appears below the candle.
Sell Signal: Triggers when price crosses below the upper Bollinger Band, Heikin Ashi turns bearish (close < open), sell volume exceeds the threshold (default 30%), and price is below the EMA. A red triangle appears above the candle.
Trend Visualization: Candles turn green when price is significantly above the Bollinger Bands’ basis (indicating a bullish trend), red when below (bearish trend), or purple when near the basis (consolidation), based on a customizable threshold (default 10% of BB width).
Risk Management: Each signal calculates a stop-loss (10% beyond the opposite band) and take-profit (opposite band), plotted for reference.
How to Use It
Timeframe: Best on 1-minute to 5-minute charts for scalping; test higher timeframes for swing trading.
Markets: Works well in volatile markets like forex pairs (e.g., EUR/USD), crypto (e.g., BTC/USD), or liquid stocks.
Customization: Adjust Bollinger Bands length (default 10), multiplier (default 1.2), volume thresholds (default 30%), EMA length (default 3), and consolidation threshold (default 0.1%) to match your strategy.
Interpretation: Look for green/red triangles as entry signals, confirmed by candle colors. Purple candles suggest caution—wait for a breakout. Use stop-loss/take-profit levels for trade management.
Underlying Concepts
Bollinger Bands: Measures volatility and identifies overbought/oversold zones.
Heikin Ashi: Smooths price action to emphasize trend direction.
Volume Momentum: Calculates cumulative buy/sell volume percentages to confirm market strength (e.g., buyVolPercent = buyVolume / totalVolume * 100).
EMA: A fast-moving average (default length 3) ensures signals align with the immediate trend.
Chart Setup
The chart displays Bollinger Bands (orange), Heikin Ashi close (green circles), EMA (purple), and volume-scaled lines (lime/red). Signals are marked with triangles, and candle colors reflect trend state. Keep the chart clean by focusing on these outputs for clarity.
Shavarie's MCV IndicatorShavarie's MCV Indicator (MACD + CCI + Volume Delta) is a custom-built trend-following and volume-based indicator that helps traders confirm market direction with high accuracy. It combines the MACD (Moving Average Convergence Divergence), CCI (Commodity Channel Index), and Volume Delta, ensuring that all three indicators align before making a trading decision. The goal is to filter out false signals and provide high-probability trade setups.
History & Development
Shavarie's MCV Indicator was developed by Shavarie Gordon, an experienced swing trader, to improve trend confirmation on Gold (XAUUSD) and other markets. After testing various indicators, Shavarie discovered that MACD, CCI, and Volume Delta together provide the best combination of trend strength, momentum, and real-time volume flow. This indicator was designed to eliminate lagging signals, improve win rates, and enhance market timing for both swing and scalping strategies.
How It Works & Calculations
MACD (Moving Average Convergence Divergence)
Measures momentum and trend strength using the difference between a 12-period EMA and a 26-period EMA.
The MACD line and Signal line crossover confirms buy/sell signals.
A rising MACD histogram confirms bullish strength, while a falling histogram confirms bearish strength.
CCI (Commodity Channel Index)
Measures how far the price is from its statistical average.
Above +100 → Overbought (strong trend continuation or reversal).
Below -100 → Oversold (strong trend continuation or reversal).
When CCI aligns with MACD, it confirms momentum strength.
Volume Delta
Measures the difference between buying and selling volume in real time.
A positive delta means more aggressive buying (bullish).
A negative delta means more aggressive selling (bearish).
Helps confirm MACD and CCI trends by showing real volume strength.
Key Takeaways & Features
✅ No false signals: All three indicators must align before entering a trade.
✅ Trend confirmation: Ensures momentum and volume agree before trading.
✅ Works on multiple timeframes: Designed for swing trading on the daily and scalping on 45 min + 5 min.
✅ Great for Gold & Metals: Optimized for XAUUSD, XAUJPY, XAU/AUD, and possibly Palladium (XPDUSD).
✅ Custom-built by a professional trader: Developed by Shavarie Gordon after extensive testing.
Summary
Shavarie’s MCV Indicator is a powerful and reliable trading tool that combines momentum, trend, and volume analysis. By ensuring that MACD, CCI, and Volume Delta align, it eliminates false signals and increases trade accuracy. Whether used for swing trading or scalping, this indicator helps traders enter high-probability trades with confidence.
ZenAlgo - DetectorThis script combines multiple volume data sources, calculates several forms of volume-based metrics, displays a table for Spot vs. Perpetual volumes, and visualizes several technical elements (such as cumulative delta, divergences, fractals, and specialized moving averages). The primary objective is to help analyze volume activity across different exchanges, compare Spot vs. Perpetual markets, and observe how shifting volumes may coincide with price action characteristics. This description aims to clarify each component, explain how the calculations are performed, and show you how to interpret the various chart markings.
Why Combine These Metrics in One Script?
Many publicly available volume-related tools focus only on a single exchange or a single type of volume (like spot or futures). This script merges multiple exchange sources for spot and perpetual data into a unified view. By doing so, users can detect discrepancies or confirm alignment between different markets without juggling multiple indicators. It also processes volume-derived signals (delta, divergences, fractals, etc.) in one place, sparing you from manually combining various standalone scripts. Through this integration, it becomes easier to observe how price and volume interact across different market segments.
Core Concept: Aggregated Volume
The script begins by collecting volumes from multiple exchanges in two categories:
Spot volumes – Typically aggregated under symbols ending with "USDT" or a user-selected currency, and
Perpetual volumes – From perpetual futures contracts (e.g., symbols ending in "USD.P" or "USDT.P").
All these exchange volumes are requested via the built-in request.security() function in a single line for each exchange. The user can enable or disable each exchange in the inputs. The script then calculates an "aggregated volume" for Spot, an aggregated volume for Perpetual, and an overall combined total.
This aggregated volume is used later to break down how much of each bar's volume can be considered "buy" or "sell" based on the bar's candle structure (body vs. wicks).
Volume-Based Calculations: Buy vs. Sell Volume and Delta
For each bar, the script estimates how much of the aggregated volume can be associated with a "buy side" and a "sell side."
Volume Buy is computed if the bar's close is above the open , giving more weight to the candle's body and allocating some portion of volume to the wicks as well.
Volume Sell is similarly computed if the bar's close is below the open .
This results in a Delta value: Delta = (Buy Volume) – (Sell Volume).
Additionally, the script accumulates these values over a user-defined "lookback length" to provide Cumulative Delta . This can help show longer-term directional volume bias.
Table: Spot vs. Perpetual Comparison
There is a toggle ("Show Spot vs Perpetual Table") that displays an on-chart table comparing volumes:
Buy Volume and Sell Volume for each aggregated category (Spot, Perp, and their sum).
Delta (the difference between Buy and Sell).
Percentage breakdowns of buy vs. sell portions.
This table only appears on the most recent bar and helps users quickly assess how Spot and Perpetual volumes compare, plus the overall total.
PVSRA Color Coding
A "PVSRA-style" color approach classifies each bar based on volume and candle range:
Climax Up (lime) or Climax Down (red) occurs if volume is extremely high relative to a simple moving average of volume and range.
Above-Average Up (blue) or Down (fuchsia) occurs if volume is moderately higher than average.
Otherwise, colors fall back to neutral up/down colors.
This allows you to spot potentially high-volume "climax" bars vs. bars with only moderate or typical volume levels.
Fractals and Divergences
The script detects certain fractal points on the aggregated volumes (sum of buy or sell volumes). It looks for a 5-bar pattern (with the current bar in the middle for top or bottom fractals).
When a fractal is confirmed on buy volume, the script checks if new higher price highs coincide with lower buy-volume peaks (or vice versa) to highlight regular or hidden divergences.
Similar logic is applied on the sell-volume side if new lower price lows occur alongside higher sell-volume troughs (or the opposite).
If enabled in the settings, lines and labels may appear on the chart to mark these divergence points.
"Delta Dot" Events
This script draws small circles above or below bars when the total delta changes magnitude relative to the previous bar by certain user-defined multipliers. It segregates "tiny," "small," "large," and "extra" expansions in bullish or bearish delta.
Bullish Dots : Appear above the bar when the new positive delta is multiple times bigger than the previous positive delta.
Bearish Dots : Appear below the bar in a similar fashion for negative delta.
These dots emphasize large or sudden shifts in buy/sell pressure from one bar to the next.
Delta MA and its Direction
A moving average is calculated on the total delta and optionally multiplied by a factor (in the code, by 4) to make it visually prominent. The user can pick from SMA, EMA, WMA, RMA, or HMA as the smoothing technique.
Delta MA Direction : The script compares the current delta MA to a short SMA of itself to define whether it is rising or falling.
A color is assigned—blue if rising, orange if falling, gray if they're roughly equal.
This helps quickly visualize longer-term momentum in the net delta metric.
Divergences on the Delta MA
After computing the "Delta MA" line, the script detects pivot highs or lows on that line. If the price makes a new high but the Delta MA pivot is lower (and vice versa), it draws lines and small labels indicating potential divergence.
Bearish Divergence : Price makes a higher high, while the Delta MA pivot forms a lower high.
Bullish Divergence : Price makes a lower low, while the Delta MA pivot forms a higher low.
RSI + MFI Computation
The script also calculates a simplified form of RSI+MFI by comparing (close – open) / (high – low) * a multiplier , then smoothing it with a simple average. This is purely for an optional observational measure to see if the price action is leaning bullish or bearish in terms of these combined indicators.
EMA Overlay and Diamond Shapes
There are two standard EMAs (13 and 21). The script checks whether price is above or below these EMAs, in addition to other conditions (like changes in delta, volume, or RSI+MFI direction) to draw diamond shapes at the top or bottom of the chart:
Green Diamonds near the bottom if the conditions line up to suggest that the environment is more favorable for bullish pressure.
Red Diamonds near the top if the environment suggests more bearish pressure.
These diamonds come in two sizes:
Normal – More pronounced, typically plotted if RSI+MFI result is above/below zero.
Small – Plotted if RSI+MFI is on the other side of that threshold.
An optional "Hardcore Mode" adds special tiny diamonds under specific delta color/condition mismatches.
How to Interpret the Chart Elements
Line Plots of Buy and Sell Volumes : A positive line for buy volume, a negative line for sell volume, and a zero-line for reference. This provides at-a-glance perspective on how buy or sell volumes add up per bar.
Histogram "Total Delta" : A color-coded bar that quickly shows whether overall buy vs. sell volume is dominant. The color is governed by the PVSRA logic (e.g., potential climax or above-average conditions).
Volume Table (when enabled): Summarizes volumes in numeric and percentage form for Spot, Perp, and total categories on the last bar.
Delta Dots : Small circles highlighting abrupt changes in delta magnitude. Larger multiples indicate bigger jumps compared to the previous bar.
Fractals & Divergence Lines : Connect pivot points in buy/sell volume or in the Delta MA line with price highs/lows to indicate potential divergences.
Delta MA Plot : Smooth curve (scaled up x4) to reflect longer-term accumulation or distribution in the delta. Colored by whether the MA is above or below a short average of itself.
Diamonds : Appear when certain volume, price, RSI+MFI, and delta conditions converge. Green diamonds near the bottom typically coincide with bullish conditions, red diamonds near the top with bearish conditions.
Practical Usage Notes
Use the Spot vs. Perp breakdown to see if these two market segments differ significantly in their contributions to total volume. This can be informative when a certain type of market (futures vs. spot) might be "driving" price action.
The PVSRA color scheme highlights "climax" or "above-average" volume bars, which can sometimes appear around major reversals or breakouts.
Observing divergences in aggregated buy/sell volume (or in the Delta MA line) can provide additional context on whether certain price moves are backed by strong volume involvement.
The script's fractal divergences rely on short pivot detection. Signals will appear only after enough bars have passed for confirmation, so these are effectively "after-the-fact" notations to illustrate possible volume/price divergences.
The diamonds do not necessarily instruct any buy/sell action; rather, they mark conditions where multiple volume and momentum criteria line up in one direction.
Important Considerations
This script displays aggregated volumes from potentially multiple exchanges. Each exchange or pair might have different time zones, liquidity, or data availability, which can occasionally result in incomplete or zero values.
All references to "buy" or "sell" volume are approximate breakdowns based on candle structure. They are not absolute measures of real-time order flow.
Divergences and fractal points are provided strictly for analytical insight. They can repaint or shift if the fractal conditions were not fully confirmed in real time.
The color-coded lines, histograms, diamonds, and tables are strictly to guide analysis of volume fluctuations and do not claim to predict future price performance.
If you enable "Hardcore Mode," you will see additional diamond markers. This mode is mainly intended as an extra highlight of certain "contradictory" delta conditions.
Summary
The "ZenAlgo - Detector" script brings together a variety of volume-based analyses:
Aggregated volumes from multiple exchanges
A breakdown into Spot vs. Perpetual activity
Delta calculations, fractal divergences, and a specialized Delta Moving Average
Color-coded bars reflecting possible PVSRA concepts
A table to highlight numeric differences and percentages
Additional overlays (e.g., diamonds, RSI+MFI synergy, etc.)
In contrast to many free, single-exchange indicators, this script centralizes multiple exchange volumes in one place, making it easier to observe and compare volume flows across different market types (spot vs. perpetual). Users no longer need to rely on scattered tools or separate overlays to check volume divergences, fractals, or specialized MA calculations—everything is unified here. By carefully monitoring the table, Delta histogram, color-coded bars, divergence lines, and diamond markers, traders can more comprehensively evaluate how volume and price interact. Each plot is designed to showcase different aspects of volume flow—such as whether spot or derivatives markets dominate, if volume is skewed toward buying or selling, and if there are divergences between volume momentum and price movement.
All computations are displayed to help you carry out a more informed market analysis. It is strongly advised to combine these observations with other risk management or analytical methods, rather than relying on any single indicator alone.
RG - Volume Spike DetectorRG - Volume Spike Detector is a comprehensive volume analysis tool designed to help traders identify significant volume activity across different tickers on TradingView. This indicator not only detects overall volume spikes and percentage changes but also approximates and analyzes buying and selling volume separately, providing valuable insights into market dynamics. With customizable parameters, visual cues, and built-in alerts, it's suitable for traders of all levels looking to monitor volume-based market movements.
Features
Volume Spike Detection:
Identifies when total volume exceeds a user-defined multiple of its moving average (default: 2x).
Separate detection for buying and selling volume spikes based on their respective moving averages.
Volume Change Analysis:
Calculates and displays the percentage change in total volume from the previous bar.
Highlights significant increases (>50%) or decreases (<-50%) with alert options.
Buy/Sell Volume Approximation:
Estimates buying and selling volume using price movement and range:
Up bars: Buying volume ≈ volume * (close - low)/(high - low)
Down bars: Selling volume ≈ volume * (close - low)/(high - low)
Handles edge cases (e.g., high = low) to ensure accurate calculations.
Ideal For
Day traders monitoring sudden volume surges
Swing traders analyzing volume trends
Market analysts studying buying vs. selling pressure
This indicator empowers traders with a robust tool to track volume dynamics, offering both visual clarity and actionable alerts for informed decision-making.
Volume Delta Imbalance Index [PhenLabs]📊 Volume Delta Imbalance Index (VDII)
Version: PineScript™ v6
Description
The Volume Delta Imbalance Index is an advanced technical analysis tool that combines volume profile analysis with price movement dynamics to identify significant market imbalances. It features a sophisticated analysis system that weighs recent versus historical volume delta imbalance patterns, providing traders with insights into potential market reversals and trend continuation scenarios.
Points of Innovation:
Custom volume delta calculation incorporating price and volume relationships
Adaptive smoothing system based on market volatility
Multi-component analysis combining flow, acceleration, and strength metrics
Real-time volume profile integration with historical context
🔧 Core Components
Volume Profile Analysis: Dynamic volume delta imbalance distribution assessment
Flow Imbalance Detection: Buy/sell pressure evaluation
Strength Analysis: Composite market strength measurement
Acceleration Framework: Volume movement dynamics
Statistical Bands: Adaptive threshold system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Volume Delta: Up to date volume imbalance measurement
Market Structure: Support/resistance level identification
Flow Analysis: Buy/sell pressure visualization
Acceleration Signals: Movement momentum detection
Adaptive Bands: Dynamic overbought/oversold levels
📈 Visualization
Color-coded Columns: Shows direction and strength of imbalance
Signal Lines: Strong buy/sell level indicators
Statistical Bands: Shows normal trading ranges
Gradient Fills: Indicates extreme market conditions
Dynamic Opacity: Reflects trend strength
📌 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Lookback Period: Analysis timeframe adjustment
Sensitivity Level: Signal response calibration
History Depth: Historical context range
Memory Setting: Recent vs. historical data weight
Visual Settings:
Color Scheme: Bullish/bearish signal colors
Signal Levels: Strong buy/sell thresholds
Band Display: Statistical range visualization
✅ Best Use Cases / Things To Look For:
Wait for establishment in the initial trend when the VDII comes back towards zero and the color of the volume becomes more faint
Once this is established and the VDII pushes through to the other side look for small retracements above the zero line on the VDII leading you to believe it is a likely area for price to retrace and continue in its prior direction
Make sure you see the volume bars become more faint in color to give yo further confluence price will continue in its priorly established direction
⚠️ Limitations
Requires sufficient volume data
Most effective in liquid markets
Historical depth affects calculation speed
Possible lag in highly volatile conditions
What Makes This Unique
Composite Volume Analysis: Combines multiple volume metrics
Adaptive Calculation: Adjusts to market volatility
Profile Integration: Incorporates volume profile analysis
Multi-component Scoring: Weighted analysis system
Memory-efficient Design: Optimized for real-time analysis
🔧 How It Works
The indicator processes market data through four main components:
1. Volume Profile Analysis:
Creates dynamic volume delta distribution profiles
Weights recent versus historical data
Identifies significant price levels
2. Flow Imbalance Detection:
Analyzes buying versus selling pressure
Calculates normalized flow ratios
Determines market bias
3. Strength Analysis:
Measures composite market strength
Incorporates volume-weighted movements
Provides trend strength indication
4. Final Score Calculation:
Combines all components with weighted importance
Applies volatility-based smoothing
Generates final signal output
5. VDII Potential Reversal Confluences
Bars between signal confluence is default set to 10 but you can change it to whatever you’d prefer
Signals are a compiled look at the indicator as a whole determining where it think reversals or retracements are likely
💡 Note:
The indicator performs best in markets with consistent volume and clear trending or ranging conditions. Its sophisticated volume analysis provides valuable insights into market dynamics beyond traditional price-based indicators.
SatoshiSteps Swing StrategyCore Components:
The indicator combines three popular technical analysis tools:
Ichimoku Cloud: This helps identify the trend, support, and resistance levels.
RSI (Relative Strength Index): This momentum oscillator identifies overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): This trend-following momentum indicator shows the relationship between two moving averages1 of prices.
Logic:
The strategy aims to identify potential swing trading opportunities by combining signals from these three components. It essentially looks for:
Trend Confirmation (Ichimoku):
Price should be above the Ichimoku cloud for buy signals.
Price should be below the Ichimoku cloud for sell signals.
The Tenkan-sen (conversion line) should cross above the Kijun-sen (base line) for buy signals.
The Tenkan-sen should cross below the Kijun-sen for sell signals.
Overbought/Oversold Conditions (RSI):
RSI should be below the overbought level for buy signals (avoiding buying when the market is potentially overextended).
RSI should be above the oversold level for sell signals (avoiding selling when the market is potentially oversold).
Momentum Confirmation (MACD):
The MACD line should be above the signal line for buy signals (indicating upward momentum).
The MACD line should be below the signal line for sell signals (indicating downward momentum).
Buy Signal:
A buy signal is generated when all the following conditions are met:
The Tenkan-sen crosses above the Kijun-sen.
The price is above both the Senkou Span A and Senkou Span B (the cloud).
The RSI is below the overbought level.
The MACD line is above the signal line.
Sell Signal:
A sell signal is generated when all the following conditions are met:
The Tenkan-sen crosses below the Kijun-sen.
The price is below both the Senkou Span A and Senkou Span B (the cloud).
The RSI is above the oversold level.
The MACD line is below the signal line.
Key Considerations:
Time Frame: The indicator has built-in adjustments for 1-hour and 4-hour timeframes, optimizing the parameters for each.
Customization: You can customize the overbought/oversold RSI levels and the styles of the buy/sell signals (triangle, label, arrow, circle) through the indicator's settings.
Accuracy: While the strategy combines multiple indicators to improve accuracy, remember that no trading indicator is perfect. Market conditions can change rapidly, and false signals can occur.
Risk Management: Always use proper risk management techniques, such as stop-loss orders, and never risk more than you can afford to lose.
ZenAlgo - Aggregated DeltaZenAlgo - Aggregated Delta is an advanced market analysis tool designed to provide traders with a holistic view of market sentiment by leveraging multi-exchange volume aggregation, cumulative delta analysis, and divergence detection. Unlike traditional indicators that rely on a single data source, this tool aggregates order flow data from multiple exchanges, reducing the impact of exchange-specific anomalies and liquidity disparities.
This indicator is ideal for traders looking to enhance their understanding of market dynamics, trend confirmations, and order flow patterns. By intelligently combining multiple analytical components, it eliminates the need for manually interpreting separate indicators and offers traders a streamlined approach to market analysis.
This indicator was inspired by aggregated volume analysis techniques. Independently developed with a focus on cumulative delta and divergence detection.
Key Features & Their Interaction
Multi-Exchange Volume Aggregation: Aggregates buy and sell volumes from up to nine major exchanges, including Binance, Bybit, Coinbase, and Kraken. Unlike traditional single-source indicators, this ensures a robust, diversified measure of market sentiment and smooths out exchange-specific volume fluctuations.
Cumulative Delta Analysis: Tracks the net difference between buy and sell volumes across all aggregated exchanges, helping traders identify true buying/selling pressure rather than misleading short-term volume spikes.
Advanced Divergence Detection: Unlike basic divergence indicators, this tool detects divergences not only between price and cumulative delta but also across multiple analytical layers, including moving averages and temperature zones, offering deeper confirmation signals.
Dynamic Market Temperature Zones: Unlike fixed overbought/oversold indicators, this feature applies adaptive standard deviation-based filtering to classify market conditions dynamically as "Extreme Hot," "Hot," "Neutral," "Cold," and "Extreme Cold."
Intelligent Market State Classification: Determines whether the market is in a Full Bull, Bearish, or Neutral state by analyzing multi-exchange volume flow, cumulative delta positioning, and market-wide liquidity trends.
Real-Time Alerts & Adaptive Visualization: Provides fully configurable real-time alerts for trend shifts, divergences, and market conditions, allowing traders to act immediately on high-confidence signals.
What Makes ZenAlgo - Aggregated Delta Unique?
Unlike free or open-source alternatives, ZenAlgo - Aggregated Delta applies a multi-layered data processing approach to smooth inconsistencies and improve signal reliability. Instead of using raw exchange feeds, the system incorporates adaptive volume aggregation and standard deviation-based market classification to ensure accuracy and reduce noise. These enhancements lead to more precise trend signals and a clearer representation of market sentiment.
Multi-Exchange Order Flow Validation: Unlike single-source indicators that rely on individual exchange feeds, this tool ensures cross-market consistency by aggregating volume data dynamically.
Fractal-Based Divergence Detection: Detects divergences using fractal logic rather than contextual volume trends, reducing false-positive divergence signals while maintaining accuracy.
Automated Sentiment Analysis: Classifies market sentiment into structured phases (Full Bull, Bearish, etc.), reducing the manual effort needed to interpret order flow trends.
How It Works (Technical Breakdown)
Multi-Exchange Volume Aggregation: The system fetches and validates buy/sell volume data from multiple exchanges, applying volume aggregation techniques to smooth out inconsistencies. It ensures that data from low-liquidity exchanges does not disproportionately influence the analysis.
Cumulative Delta Computation: Cumulative delta is computed as the net difference between buy and sell volumes over a given period. By summing up these values across multiple exchanges, traders can identify real accumulation or distribution zones, reducing false signals from isolated exchange anomalies.
Divergence Detection Methodology: The tool uses a fractal-based logic approach to detect high-confidence divergences across price, volume, and delta trends. This allows for a more structured detection process compared to simple peak/trough analysis, reducing noise in the signals.
Temperature Zones Filtering: Market conditions are dynamically classified using a rolling standard deviation model, ensuring that hot/cold states adjust automatically based on recent volatility levels. This means that instead of using arbitrary fixed thresholds, the tool adapts based on historical data behavior.
Market Sentiment State Calculation: The tool evaluates liquidity conditions, volume trends, and cumulative delta flow, categorizing the market into predefined states (Bullish, Bearish, Neutral). This helps traders assess the broader context of price movements rather than reacting to isolated signals.
Real-Time Adaptive Alerts: The system provides fully configurable alerts that notify traders about key trend shifts, high-confidence divergences, and changes in market conditions as they occur. This ensures that traders can make timely and well-informed decisions.
Why This Approach Works
By aggregating data from multiple exchanges, it reduces the impact of exchange-specific liquidity disparities and anomalies, leading to a more holistic view of order flow.
The cumulative delta analysis ensures that price movements are validated by actual buying/selling pressure, filtering out misleading short-term spikes.
Dynamic market classification adapts to current conditions rather than using outdated fixed thresholds, making it more relevant in different market regimes.
Fractal-based divergence detection avoids common pitfalls of traditional divergence analysis, reducing false signals while maintaining accuracy.
Combining real-time adaptive alerts with well-structured classification improves traders’ ability to respond to market shifts efficiently.
Practical Use Cases
Identifying High-Probability Trend Reversals: If cumulative delta shows bullish divergence while the market is in an Extreme Cold zone, it signals a strong potential for reversal.
Confirming Trend Continuation: When bullish moving average crossovers align with a rising cumulative delta, traders can enter positions with higher confidence.
Detecting Exhaustion in Market Moves: If price enters an "Extreme Hot" zone but cumulative delta starts declining, this suggests trend exhaustion and a possible reversal.
Filtering False Breakouts: If price breaks a resistance level but aggregated buy volume fails to increase, this invalidates the breakout, helping traders avoid bad trades.
Cross-Exchange Sentiment Confirmation: If cumulative delta on aggregated exchanges contradicts price action on an individual exchange, traders can identify localized exchange-based distortions.
Customization & Settings Overview
Exchange Selection: Traders can fine-tune exchange sources for aggregation, allowing for custom market-specific insights.
Adaptive Divergence Settings: Configure detection thresholds, lookback periods, and divergence filtering options to reduce noise and focus on high-confidence signals.
Moving Average Adjustments: Select custom MA types, lengths, and visualization preferences to match different trading styles.
Market Temperature Thresholds: Adjust hot/cold sensitivity to align with preferred risk levels and volatility expectations.
Configurable Alerts & Theme Customization: Full control over notification triggers, color themes, and label formatting to enhance user experience.
Important Considerations
Market Context Dependency: This tool provides order flow analysis, which should be used in conjunction with broader market context and risk management.
Data Source Variability: While multi-exchange aggregation improves reliability, some exchanges may report inaccurate or delayed data.
Extreme Volatility Handling: Large price swings can temporarily distort delta readings, so traders should always validate with additional context.
Liquidity Limitations: In low-liquidity conditions, order flow signals may be less reliable due to fragmented market participation.
RSI (Pr)The "RSI (Pr)" indicator enhances the traditional Relative Strength Index (RSI) by incorporating dynamic bands and highlighting extreme market conditions directly on the price chart. This approach offers traders a more intuitive visualization of potential overbought and oversold zones, facilitating timely decision-making.
Key Features:
Dynamic RSI Bands: The indicator calculates upper and lower bands based on user-defined overbought and oversold levels. These bands adjust in real-time, providing a responsive measure of market extremes.
Visual Alerts: Background colors change when the price moves outside the RSI bands, offering immediate visual cues of potential market reversals.
Buy/Sell Signals: The script places "BUY" and "SELL" labels on the chart when the price crosses above or below the RSI bands, assisting traders in identifying potential entry and exit points.
How It Works:
RSI Calculation: The script computes the RSI based on the closing price and a user-defined length (default is 14 periods).
Exponential Moving Averages (EMA): It calculates the EMA of the maximum gains and losses to smooth out the data, enhancing the reliability of the RSI bands.
Upper and Lower Bands: Using the smoothed data, the script determines the upper (resistance) and lower (support) bands, which represent dynamic overbought and oversold levels.
Visual Indicators: The script plots the upper and lower bands, as well as a midline, directly on the price chart. Background colors change when the price exceeds these bands, and "BUY" or "SELL" labels appear at crossover points.
Usage:
Overbought Conditions: When the price crosses above the upper band, it may indicate an overbought condition, suggesting a potential selling opportunity.
Oversold Conditions: When the price crosses below the lower band, it may indicate an oversold condition, suggesting a potential buying opportunity.
Customization:
Users can adjust the following parameters to suit their trading preferences:
RSI Overbought Level: Default is 70.
RSI Oversold Level: Default is 30.
RSI Length: Default is 14 periods.
Disclaimer:
This indicator is designed for educational purposes and should not be construed as financial advice. Trading involves significant risk, and it's essential to conduct thorough research and consider your financial situation before making trading decisions. Past performance is not indicative of future results.
By integrating dynamic RSI bands and clear visual signals directly onto the price chart, this indicator aims to provide traders with actionable insights into market conditions, enhancing the traditional RSI analysis.
RoGr75 Adaptive EMA CrossDescription:
The RoGr75 Adaptive EMA Cross indicator dynamically combines exponential moving averages (EMAs) with ATR-based volatility buffers to generate buy and sell signals across multiple timeframes. This script uses customizable settings for short and long EMAs, ATR, and volume filters, ensuring that signals are both volatility-adjusted and timeframe-aware. It includes features such as adaptive buffers, distinct price level filters for buying and selling, and a reset mechanism to prevent redundant signals. Additionally, the indicator manages signal labels efficiently to keep your chart uncluttered.
Warning:
This script is provided for testing and educational purposes only. It is not intended as financial advice, and past performance does not guarantee future results. Use at your own risk. Always conduct your own research before making any trading decisions.
Higher Timeframe Input: Choose a specific timeframe for the indicator’s calculations; leave blank to use the chart’s current timeframe.
Signal Distance: Sets the distance of signal labels from the candles as a multiple of the ATR.
Exact Value Offset: Adjusts the secondary marker’s position for precision on the chart.
ATR Length: Defines the period used to calculate the Average True Range for volatility measurement.
EMA Lengths: Specify the periods for the short and long exponential moving averages.
Buy/Sell Buffer ATR Multipliers: Dynamically adjust the trigger distance beyond the EMA crossovers based on volatility.
Price Level Filter: Activates a filter so that buy signals only occur above a set price and sell signals only occur below that price (0 disables the filter).
Volume Filter: Optionally requires current volume to exceed a set multiple of a 20-period average for signal confirmation.
Reset Period: Resets the last signal memory after a specified number of bars to avoid suppressing valid repeat signals.
EMA Colors & Line Width: Customize the appearance of the short and long EMAs.
Label Colors & Styles: Choose colors, text colors, and styles for the buy and sell signal labels.
Background Highlighting: Optionally colors the background when a buy or sell signal occurs.
Label Management: Automatically removes the oldest labels when a set maximum is reached to keep the chart clean.
Alerts: Predefined conditions allow you to set TradingView alerts when buy or sell signals are generated.
Warning: This indicator is for testing purposes only and is not financial advice. Use it at your own risk.
Reversal rehersal v1This indicator was designed to identify potential market reversal zones using a combination of RSI thresholds (shooting range/falling range), candlestick patterns, and Fair Value Gaps (FVGs). By combining all these elements into one indicator, it allow for outputting high probability buy/sell signals for use by scalpers on low timeframes like 1-15 mins, for quick but small profits.
Note: that this has been mainly tested on DE40 index on the 1 min timeframe, and need to be adjusted to whichever timeframe and symbol you intend to use. Refer to the backtester feature for checking if this indicator may work for you.
The indicator use RSI ranges from two timeframes to highlight where momentum is building up. During these areas, it will look for certain candlestick patterns (Sweeps as the primary one) and check for existance of fair value gaps to further enhance the hitrate of the signal.
The logic for FVG detection was based on ©pmk07's work with MTF FVG tiny indicator. Several major changes was implemented though and incorporated into this indicator. Among these are:
Automatically adjustments of FVG boxes when mitigated partially and options to extend/cull boxes for performance and clarity.
Backtesting Table (Experimental):
This indicator also features an optional simplified table to review historical theoretical performance of signals, including win rate, profit/loss, and trade statistics. This does not take commision or slippage into consideration.
Usage Notes:
Setup:
1. Add the indicator to your chart.
2. Decide if you want to use Long or Short (or both).
3. If you're scalping on ie. 1 min time frame, make sure to set FVG's to higher timeframes (ie. 5, 15, 60).
4. Enable the 'Show backtest results' and adjust the 'Signals' og 'Take profit' and 'Stop loss' values until you are satisfied with the results.
Use:
1. Setup an alert based on either of the 'BullishShooting range' or 'BearishFalling range' alerts. This will draw your attention to watch for the possible setups.
2. Verify if there's a significant imbalance prior to the signal before taking the trade. Otherwise this may invalidate the setup.
3. Once a signal is shown on the graph (either Green arrow up for buys/Red arrow down for sells) - you should enter a trade with the given 'Take profit' and 'Stop loss' values.
4. (optional) Setup an alert for either the Strong/Weak signals. Which corresponds to when one of the arrows are printed.
Important: This is the way I use it myself, but use at own risk and remember to combine with other indicators for further confluence. Remember this is no crystal ball and I do not guarantee profitable results. The indicator merely show signals with high probability setups for scalping.
ZenAlgo - SessionsZenAlgo - Sessions is a robust TradingView indicator designed to analyze and visualize global trading sessions (Asian, European, and US). By combining session-specific price levels, volume and delta tracking, and historical performance metrics, it delivers actionable insights for session-based trading strategies, simplifying decision-making in dynamic markets.
Features
Session Highlighting: Distinguishes trading sessions with customizable colors for easy identification.
Session Levels: Dynamically calculates and projects five key levels (0%, 25%, 50%, 75%, 100%) to identify support and resistance zones.
Volume and Delta Tracking: Tracks session-specific total volume, inflows, outflows, and delta to assess market sentiment.
Interactive Performance Table: Summarizes recent session metrics, including win/loss percentages, volume, and delta, enabling trend analysis.
Historical Analysis: Retains session performance data for up to 100 sessions, providing insights into long-term trends.
Dynamic Range Projection: Extends session levels into subsequent sessions, maintaining market context.
Customizable Time Zones: Adapts session tracking to any trading environment.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
1. Synergy Between Indicators
Session Levels: Highlight key market zones that guide entry/exit points.
Volume and Delta Metrics: Clarify price action at these levels by identifying buyer/seller dominance.
Performance Metrics: Aggregate historical session data, helping traders identify recurring patterns, sentiment shifts, and session-specific tendencies.
Together, these features amplify one another, creating actionable insights that exceed the value of standalone tools.
2. Comparison to Freely Available Indicators
Traditional indicators like Bollinger Bands, RSI, or Moving Averages operate on broad price action trends. ZenAlgo - Sessions focuses on session-specific patterns, volume dynamics, and real-time updates, delivering more context-specific insights.
By consolidating multiple functionalities into one tool, it eliminates the need for multiple separate indicators, streamlining analysis.
3. Why Pay for This Indicator?
Comprehensive Insights: Delivers session-specific metrics unavailable in standalone tools.
Real-Time Updates: Ensures metrics and levels reflect the latest market movements.
Seamless Integration: Combines price action, volume, and historical performance into a single, intuitive interface.
How It Works
1. Session Detection
Defines sessions for Asia, Europe, and the US based on fixed opening and closing times. Time zones ensure compatibility with global markets, excluding weekends and holidays for relevance.
2. Price Levels
Calculates five levels (0%, 25%, 50%, 75%, 100%) based on session high and low, projecting these into subsequent sessions for continued analysis.
3. Volume and Delta Metrics
Tracks session volume, separating inflows and outflows based on price movements.
Calculates delta to gauge net buying/selling activity.
4. Performance Metrics
Tracks win/loss rates and percentage changes across sessions.
Stores session metrics (volume, delta, win/loss) for up to 100 sessions.
5. Dynamic Visualization
Continuously updates session levels and metrics in real time for actionable insights.
Usage Examples
Support/Resistance Levels: Use session levels, especially the 50% midline, as potential pivot points for trades.
Breakout Analysis: Monitor price action beyond session highs or lows to confirm breakouts.
Volume Trends: Compare session volumes to identify high-activity periods.
Delta Shifts: Assess delta changes to determine market sentiment at key levels.
Session Comparison: Identify which session drives significant activity using the performance table.
Multi-Session Strategies: Plan trades based on extended session levels to anticipate reactions at previously tested zones.
Settings
Asia Session Color: Adjust the highlight color for the Asian session.
Europe Session Color: Customize the color for the European session.
US Session Color: Define the color for the US session.
Time Zone: Set the time zone for session tracking.
Line Transparency: Adjust session line opacity.
Number of Sessions for Total Count: Define how many sessions to analyze in the performance table.
Important Notes
This indicator is a technical analysis tool and does not guarantee trading success. Use it alongside other indicators and fundamental analysis for a comprehensive trading strategy.
Combine with Other Tools: Use complementary indicators such as RSI, Bollinger Bands, or ATR to filter out unreliable signals and improve accuracy.
Known Weaknesses and Mitigation Strategies
1. Extreme Volatility
Issue: During sudden, significant price movements (e.g., news-driven events), session levels and delta metrics may become less reliable as the market temporarily disregards historical patterns.
Mitigation: Combine ZenAlgo - Sessions with volatility indicators like ATR (Average True Range) or a news alert system to adjust expectations during these periods.
2. Low Liquidity Periods
Issue: During holidays or outside peak trading hours, session metrics may misrepresent actual market activity due to reduced participant involvement.
Mitigation: Focus on sessions with higher activity (e.g., overlapping US and European sessions) to ensure more accurate insights.
3. Non-Standard Trading Hours
Issue: Market-specific differences, such as extended hours or daylight saving adjustments, can misalign session boundaries.
Mitigation: Verify session times align with your market and adjust settings accordingly.
4. Historical Data Dependencies
Issue: Historical metrics rely on consistent session patterns; deviations (e.g., extended or shortened sessions) can impact trend accuracy.
Mitigation: Regularly review and interpret historical data alongside real-time metrics to ensure alignment.
