30分钟事件合约开仓指标（Q群956383880）This indicator is applicable to the Binance ETHUSDT spot 1-minute candlestick chart, and the order size can be adjusted based on the security level. Theoretically, the higher the security level, the smaller the order size and the higher the win rate.
本指标适用于币安ETHUSDT现货1分钟k线图，可以通过安全等级自行调节单量。理论上，安全等级越高，单量越少，胜率越高。
Forecasting
ADAM Projection - Efficiency Ratio Adaptive)Overview
The ADAM Projection is a visualization of how a price path might extend from its recent motion, expressed as a continuation (trend reflection) or anti-trend (mean reversion) pattern. This indicator expands upon Jim Sloman’s original ADAM projection—introduced in “The Adam Theory of Markets or What Matters Is Profit” (1983)—by adding a modern quantitative framework for Efficiency Ratio (ER) weighting, time-scaled path normalization, and smooth blending between continuation and anti-trend projections.
What Is the ADAM Theory?
Jim Sloman’s original ADAM projection was designed to model pure trend continuation. He proposed that every market motion could be mirrored around a central anchor price (the “Adam line”), effectively reflecting past price movements forward in time to visualize what a continuation of the same geometric path would look like. This reflection concept captured the idea that market structure exhibits self-similarity and that price trends often extend symmetrically beyond recent pivots.
How This Script Extends It
This version generalizes Sloman’s concept by introducing an adjustable blend between continuation (reflection) and anti-trend (forward paste) behavior, weighted by an adaptive ER domain.
Anchor Axis
The reflection axis (anchorPrice) can be Close, HL2, HLC3, or OHLC4.
The projection is drawn forward from this anchor for a user-defined horizon (len bars).
Dual Paths
Continuation (Reflection): Mirrors historical closes across the anchor.
Anti-trend (Forward Paste): Extends historical closes directly forward without inversion.
Efficiency Ratio (ER)
The Efficiency Ratio measures how directional recent price movement has been: ER = |Net Change| / Σ|Δi|
Values near +1 indicate strong directionality (favoring continuation); values near 0 indicate noise or consolidation (favoring anti-trend behavior).
Signed ER Normalization
ER values are mapped into a user-defined domain between erMin and erMax, with:
erSharp (γ) controlling the steepness of the blend curve
erFloor providing stability when ER ≈ 0
beta (β) weighting volatility across time (β = 0.5 approximates √time scaling)
Blended Projection
Each projected point is a weighted combination of the two paths: y_proj = (1 − w) * y_fade + w * y_cont
The blend factor w is derived from the normalized ER domain and gamma shaping, producing a smooth morph between the anti-trend and continuation geometries.
Visualization
The teal projection line shows the dynamically blended continuation/anti-trend forecast for the next len bars.
The gray anchor line marks the reflection axis.
Each segment adapts in real time based on ER magnitude and recent path structure.
Key Parameters
Core: len, anchorPrice, lineThin — projection horizon and appearance
Lines: showProj, colProj — show or recolor projection
ER Domain: erMin, erMax, erSharp, erFloor, beta — control domain scaling, shaping, and time weighting
Practical Use
High ER values emphasize continuation (trend-following behavior).
Low or negative ER values emphasize fading or mean reversion.
The projection helps visualize whether recent structure supports trend persistence or weakening.
Interpretation
The ADAM Projection is not a predictive indicator but a geometric tool for studying market symmetry and efficiency. It provides a structured way to visualize how recent movements would look if extended forward under both continuation and anti-trend assumptions. This blends Sloman’s original reflection concept with modern ER-based adaptivity.
Summary
Origin: Jim Sloman (1983) — trend continuation via reflection symmetry.
Extension: Adds ER-driven blending to model both continuation and anti-trend regimes.
Concept: Price reflection vs. direct forward extension.
Purpose: Study of geometric price symmetry and efficiency, not a trade signal.
Machine Learning Price Predictor: Ridge AR [Bitwardex]🔹Machine Learning Price Predictor: Ridge AR is a research-oriented indicator demonstrating the use of Regularized AutoRegression (Ridge AR) for short-term price forecasting.
The model combines autoregressive structure with Ridge regularization , providing stability under noisy or volatile market conditions.
The latest version introduces Bull and Bear signals , visually representing the current momentum phase and model direction directly on the chart.
Unlike traditional linear regression, Ridge AR minimizes overfitting, stabilizes coefficient dynamics, and enhances predictive consistency in correlated datasets.
The script plots:
Fit Line — in-sample fitted data;
Forecast Line — out-of-sample projection;
Trend Segments — color-coded bullish/bearish sections;
Bull/Bear Labels 🐂🐻 — dynamic visual signals showing directional bias.
Designed for researchers, students, and developers, this tool helps explore regularized time-series forecasting in Pine Script™.
🧩 Ridge AR Settings
Training Window — number of bars used for model training;
Forecast Horizon — forecast length (bars ahead);
AR Order — number of lags used as features;
Ridge Strength (λ) — regularization coefficient;
Damping Factor — exponential trend decay rate;
Trend Length — period for trend/volatility estimation;
Momentum Weight — strength of the recent move;
Mean Reversion — pullback intensity toward the mean.
🧮 Data Processing
Prefilter:
None — raw close price;
EMA — exponential smoothing;
SuperSmoother — Ehlers filter for noise reduction.
EMA Length, SuperSmoother Length — smoothing parameters.
🖥️ Display Settings
Update Mode:
Lock — static model;
Update Once Reached — rebuild after forecast horizon;
Continuous — update every bar.
Forecast Color — projection line color;
Bullish/Bearish Colors — colors for trend segments.
🐂🐻 Bull/Bear Signal System
The Bull/Bear Signal System adds directional visual cues to highlight local momentum shifts and model-based trend confirmation.
Bull (🐂) — appears when upward momentum is confirmed (momentum > 0) .
Displayed below the bar, colored with Bullish Color.
Bear (🐻) — appears when downward momentum is dominant (momentum < 0) .
Displayed above the bar, colored with Bearish Color.
Signals are generated during model recalculations or when the directional bias changes in Continuous mode.
These visual markers are analytical aids , not trading triggers.
🧠 Core Algorithmic Components
Regularized AutoRegression (Ridge AR):
Solves: (X′X+λI)−1X′y
to derive stable regression coefficients.
Matrix and Pseudoinverse Operations — implemented natively in Pine Script™.
Prefiltering (EMA / Ehlers SuperSmoother) — stabilizes noisy data.
Forecast Dynamics — integrates damping, momentum, and mean reversion.
Trend Visualization — color-coded bullish/bearish line segments.
Bull/Bear Signal Engine — visualizes real-time impulse direction.
📊 Applications
Academic and educational purposes;
Demonstration of Ridge Regression and AR models;
Analysis of bull/bear market phase transitions;
Visualization of time-series dependencies.
⚠️ Disclaimer
This script is provided for educational and research purposes only.
It does not provide trading or investment advice.
The author assumes no liability for financial losses resulting from its use.
Use responsibly and at your own risk.
Multi Brownian Forecast📊 Multi Brownian Forecast (Time-Adaptive, Probabilistic)
This indicator uses a sophisticated Geometric Brownian Motion (GBM) Monte Carlo simulation to project future price paths. It adapts to any chart timeframe and provides quantitative, multi-period probability signals.
---
🧠 Core Mathematical Methodology
The model relies on GBM, which is a continuous-time stochastic process that models asset prices.
1. Historical Analysis (Drift & Volatility):
* The script first calculates Logarithmic Returns over a user-defined Historical Lookback (Hours) .
* Drift ($\mu$): Computed as the average of the log returns.
* Volatility ($\sigma$): Computed as the standard deviation of the log returns.
* These values are then time-adapted to an hourly step, compensating for the chart's current timeframe (e.g., 5-minute, 1-hour).
2. Monte Carlo Simulation:
* It runs a specified Number of Simulations (e.g., 1000).
* For each simulation, the price is stepped forward hourly using the GBM formula, which incorporates the calculated drift and a random shock drawn from a normal distribution (generated via the Box-Muller transform ).
---
✨ Key Features
Probabilistic Quartile Forecast: Plots a dynamic "cone" of probability on the chart. It shows key price percentiles (Q1, Q2/Median, Q3, and Q4/Outer Bound) at the forecast's expiration, visualizing the expected range of price outcomes based on the simulations.
Multi-Period Probability Signals: This is the core signal feature. Users can define multiple, independent forecast periods (e.g., 4h, 16h, 48h) in a comma-separated list.
* For each period, a Probability Up and Probability Down is calculated based on hitting a custom Target Price Change (%) (e.g., 2%) at a certain confidence level given a simulation over the historical backlook.
* The probabilities are displayed in a chart table. The cell text turns white if the calculated probability exceeds the user-defined Signal Confidence (%) .
Conditional Fibonacci Retracement: Optionally displays a Fibonacci Retracement on the chart. This feature is only activated when one of the multi-period signals reaches its minimum confidence threshold, providing a contextual technical level when a probabilistic edge is found.
Magic Volume - Projected [MW]Magic Volume – Projected
This lower-pane volume tool estimates the full-bar volume before the bar closes by measuring the current bar’s elapsed time and the rate of incoming volume. It then contrasts that “expected volume” against typical activity and recent momentum to spotlight potential burst conditions (breakout/acceleration), color-codes the live volume stream, and annotates when the projected surge is likely bullish or bearish based on bar structure and recent highs/lows.
Settings
Projected / Expected Volume
Moving Average: EMA length used for volume baseline comparisons. (Default: 14)
Minimum Volume: Hard floor the bar’s raw volume must exceed to qualify as notable. (Default: 10,000)
Consecutive Volume Above 14 EMA: Count required for “sustained” high-volume context. (Default: 3)
Stochastic Volume Burst
Stochastic Length: Window for the Stochastic calculation on volume. (Default: 8)
Smoothing: Smoothing applied to Stochastic volume and its signal. (Default: 3)
Stochastic Volume Breakout Threshold: Level above which Stochastic volume is considered a breakout. (Default: 20)
Volume Bar Increase Amount: Multiplier the current bar’s volume must exceed vs. prior bar to be considered a “burst.” (Default: 1.618)
Plotted Items
Expected Volume (columns): Magenta columns projecting the full-bar volume from intrabar rate. Turns lime when a high expected-volume condition aligns with bullish bar structure; turns red under analogous bearish conditions.
Actual Volume (columns): Live volume columns, color-coded by state:
• Blue = baseline;
• Orange = “burst” (volume rising fast above prior × factor and above baseline);
• Yellow = “burst at breakout” (burst + Stochastic volume breakout);
• Light Blue = Stochastic breakout only.
Volume EMA (line): Yellow EMA for baseline comparison (default 14).
Calculations
Compute elapsed time in the current bar (ms → seconds) and convert the current bar’s accumulated volume into a rate (volume per second).
Project full-bar Expected Volume = (volume so far / seconds elapsed) × bar-seconds.
Compute Volume EMA (default 14) for baseline; derive Stochastic(volume, length) and smoothed signal for momentum.
Define “Burst” conditions:
• Volume > prior volume × Volume Bar Increase Amount;
• Volume > Minimum Volume;
• Volume > Volume EMA;
• Stochastic(volume) rising and/or above threshold.
Classify “Burst at Breakout” when Burst aligns with Stochastic crossover above the Breakout Threshold.
Classify Bullish/Bearish Expected Volume: if Expected Volume is ≥ 1.618 × prior bar volume and prior volume > Volume EMA, then:
• Bullish if bar is green with a rising low;
• Bearish if bar is red with a falling high.
Color-map actual volume columns by state; overlay Expected Volume columns (magenta) and paint conditional overlays (lime/red) when directional context is detected.
How to Use
Spot the Surge Early
When Expected Volume spikes well above typical (and especially above ~1.618× the prior bar) before the bar closes, it often precedes a volatile move. Use this to prepare entries with tight, structure-based risk (e.g., just beyond the current bar’s wick) and asymmetric targets.
Confirm with Momentum
Yellow/orange volume columns indicate burst/breakout behavior in the live tape. When this aligns with a lime (bullish) or red (bearish) Expected Volume column, the probability of follow-through improves—particularly if aligned with prevailing trend or key levels.
Context Matters
Combine with your preferred S/R or structure tools (e.g., order blocks, channels, VWAP) to avoid chasing into obvious supply/demand. The projected surge can mark both continuations and sharp reversals depending on location and broader context.
Alerts
High Expected Volume – Bullish: When projected volume surges and the price action meets bullish conditions (green body with rising low).
High Expected Volume – Bearish: When projected volume surges and the price action meets bearish conditions (red body with falling high).
Other Usage Notes and Limitations
Projected volume depends on intrabar pace; abrupt pauses/flushes can change the projection quickly, especially on very small timeframes.
Minimum Volume and EMA baselines help filter thin markets; adjust upward on illiquid symbols to reduce noise.
A rising projection does not pick direction on its own—directional coloring (lime/red) requires price-action confirmation; otherwise treat magenta projections as “heads-up” only.
As with any single indicator, use within a broader plan (risk management, structure, confluence) to mitigate false positives and improve selectivity.
Inputs (Quick Reference)
Moving Average (int, default 14)
Stochastic Length (int, default 8)
Smoothing (int, default 3)
Stochastic Volume Breakout Threshold (int, default 20)
Volume Bar Increase Amount (float, default 1.618)
Minimum Volume (int, default 10,000)
Consecutive Volume Above 14 EMA (int, default 3)
FVG Scanner ProFVG Scanner Pro — Smart Fair Value Gap Detector (with HTF context & proximity alerts)
What it does
FVG Scanner Pro automatically finds Fair Value Gaps (FVGs) on your current chart and (optionally) on a higher timeframe (HTF), draws them as color-coded zones, and notifies you when price comes close to a gap boundary using an ADR-based proximity trigger and (optional) volume confirmation. It’s designed for ICT-style gap trading, confluence building, and clean visual execution.
How it works:
FVG definition
* Bullish FVG (gap up): low > high (the current candle’s low is above the high 2 bars ago).
* Bearish FVG (gap down): high < low (the current candle’s high is below the low 2 bars ago).
* Gaps smaller than your Min FVG Size (%) are ignored. (Gap size = (top-bottom)/bottom * 100.)
Higher-timeframe logic (auto-selected)
The script auto picks a sensible HTF:
1–5m → 15m, 15m → 1H, 1H → 4H, 4H → 1D, 1D → 1W, 1W → 1M, small 1M → 3M, big ≥3M → 12M.
You can display HTF FVGs and even filter so current-TF FVGs only show when they overlap an HTF gap.
Proximity alerts (ADR-based)
The script computes ADR on the current chart timeframe over a user-set lookback (default 20 bars).
An alert fires when price moves toward the closest actionable boundary and comes within ADR × Multiplier:
Bullish: price moving down, within distance of the bottom of a bullish FVG.
Bearish: price moving up, within distance of the top of a bearish FVG.
Yellow ▲/▼ markers show where a proximity alert triggered.
Volume filter (optional)
Require volume to be greater than SMA(20) × multiplier to accept a newly formed FVG.
Lifecycle
Each gap remains active for Extend FVG Box (Bars) bars.
You can delete the box after fill, or keep filled gaps visible as gray zones, or hide them.
Color legend
Current-TF Bullish: Pink/Magenta box
Current-TF Bearish: Cyan/Turquoise box
HTF Bullish: Gold box
HTF Bearish: Orange box
Filled (if shown): Gray box
Alert markers: Yellow ▲ (bullish), Yellow ▼ (bearish)
Inputs (what to tweak)
Show FVGs: Bullish / Bearish / Both
Max Bars Back to Find FVG: collection window & cleanup guard
Extend FVG Box (Bars): how long a zone stays tradable/active
Min FVG Size (%): ignore micro gaps
Delete Box After Fill & Show Filled FVGs: choose how you want completed gaps handled
Show Alert Markers: show/hide the yellow proximity arrows
Show Higher Timeframe FVG: overlay HTF gaps (auto TF)
HTF Filter: only display current-TF gaps that overlap an HTF gap
ADR Lookback & Proximity Multiplier: tune alert sensitivity to your market & timeframe
Volume Filter & Volume > MA Multiple: require above-average volume for new gaps
Built-in alerts (ready to use)
Create alerts in TradingView (⚠️ “Once per bar” or “Once per bar close”, your choice) and select from:
🟢 Bullish FVG Proximity — price approaching a bullish gap bottom
🔴 Bearish FVG Proximity — price approaching a bearish gap top
✅ New Bullish FVG Formed
⚠️ New Bearish FVG Formed
The alert messages include the symbol and price; proximity markers are also plotted on chart.
Tips & best practices
Use FVGs with market structure (break of structure, swing points), order blocks, or liquidity pools for confluence.
On very low timeframes, raise Min FVG Size and/or lower Max Bars Back to reduce noise and keep things fast.
Extend FVG Box controls how long a zone is considered valid; align it with your holding horizon (scalp vs swing).
Information panel (top-right)
Shows your mode, current HTF, number of gaps in memory, active bull/bear counts, and current-TF ADR.
MACD cross over Buy/SellThis Indicator is purely on buying and selling the Script based on the MACD crossover Signals, which can be used for Scalping and finding the trend of the script for short and long term. When the MACD Line crosses the Signal line upwards, the script will move towards higher, and will move towards Lower when it crosses downwards. It's simple. Particularly, when the MACD line Crosses above the zero line after crossing the Signal line, the momentum will be high. Whereas when the MACD line Crosses below the zero line after crossing the Signal line downward, the momentum of falling will be high.
FMA Pro v1.0Foxbrady Moving Average Pro - uses EMA for tick based charts and SMA for time based charts, automatically.
Stochastic RSI (Weekend option) — stableStochastic RSI (Weekend option)
This is a regular Stochastic RSI oscillator, the only difference is that it now allows you to exclude weekends from the calculation (you can enable or disable this feature in the settings).
Please note.
Trading days on weekends are different due to the lack of volumes and movements. The flatness that occurs on weekends negatively affects the calculations of indicators (especially when determining overbought or oversold conditions).
ARJ@combo This indicator tracks the combined premium of a Call and Put option (straddle) and overlays technical signals to help traders analyze option market behavior more effectively.
It is especially useful for BANKkNIFTY / NIFTY options, but you can apply it to any instrument by simply selecting the strike price symbols.
ARJ@ Combined Option Premium with EMA & VWAPThis indicator tracks the combined premium of a Call and Put option (straddle) and overlays technical signals to help traders analyze option market behavior more effectively.
It is especially useful for Banknifty / nifty options, but you can apply it to any instrument by simply selecting the strike price symbols.
KCP Support & Resistance [Dr.K.C.PRAKASH]ChatGPT said:
This indicator “KCP Support & Resistance ” (Pine Script v5) is a multi-featured support & resistance tool that combines pivots, slope-based channels, Fibonacci options, and SMA200 trend reference.
🔎 Core Concept
The script identifies pivot highs and lows and uses them to draw support and resistance levels on the chart.
It allows you to visualize them in two ways:
Horizontal lines (flat support/resistance at pivot values).
Parallel slope-based lines (trend-adjusted, drawn with slope factor).
⚙️ Settings & Options
Theme
useDark: Switches to a dark-color palette with bright neon-style lines for better visibility on dark charts.
Basic Settings
length: Pivot length (bars used to detect swing high/low).
lookback: How many past pivot points to use for plotting lines.
Slope: Multiplier applied to slope calculations (for slanted trendline-style S/R).
Extend Horizontal Lines Left?: Option to extend horizontal lines to both sides.
Extend Parallel Lines Left?: Same for slope-based lines.
Show/Hide Controls
Show Parallel Lines?: Toggle diagonal support/resistance.
Show Horizontal Lines?: Toggle flat levels.
Show SMA 200 Line?: Toggle long-term SMA(200) reference.
Hide Fibonacci Lines? / Show Fib Trend Line? / Show All Fibonacci Lines?: (reserved for Fib functionality).
Line Colors
Customizable line colors for parallel & horizontal high/low lines.
If Dark Theme is enabled → Uses preset colors:
Electric Blue (Resistance - Parallel Highs)
Neon Green (Support - Parallel Lows)
Deep Red/Pink (Horizontal Highs)
Warm Yellow (Horizontal Lows)
📐 Logic & Calculations
Pivot Detection
Uses ta.pivothigh & ta.pivotlow with length to mark swing points.
Stores them in arrays for drawing multiple levels.
Slope Calculation
Uses covariance/variance of price vs. time (bar_index) to estimate slope.
Multiplied by Slope factor.
Makes trend-following parallel support/resistance lines possible.
Line Drawing
Parallel lines: Slanted, based on pivot highs/lows + slope.
Horizontal lines: Flat support & resistance levels extended across the chart.
SMA200 Plot
Plots SMA(200) for long-term trend direction.
Colored white if EMA(200) > SMA(200), else yellow (trend bias visual).
📊 What You See on Chart
Support & Resistance drawn dynamically from pivots.
Choice of horizontal (classic S/R) or sloped (trend-following) lines.
Dark theme colors → Electric blue, neon green, deep pink, warm yellow (if enabled).
SMA200 reference line → Helps identify bullish/bearish long-term bias.
Optional Fibonacci lines (future expansion).
ReqoverAI Indicator Zero LagPrecision-Engineered AI tool for Multi-Asset Trading Strategies. This AI tool is designed to work for all time frames and asset classes (like Stocks, Commodities, Forex, Crypto and other Digital Assets)
whang master trend🔥 Smart EMA + MACD + RSI Trend Filter
Catch real trends — avoid false signals!
Looking for clean and reliable trade alerts?
This script combines the power of EMA crossover, MACD momentum, and RSI trend strength — all in one simple tool.
📈 Buy Signal: EMA14 crosses above EMA70, MACD > 0, and RSI > 60
📉 Sell Signal: EMA14 crosses below EMA70, MACD < 0, and RSI < 40
✅ Both EMAs must slope in the same direction — no more sideways traps!
💡 Why traders love it:
Easy setup — plug & play
Directional EMA filter removes noise
Custom RSI timeframe filter for higher accuracy
Real-time alerts via Any alert() function call
Built-in RSI mini panel for quick reference
Perfect for traders who want to ride the trend, stay out of choppy markets,
and receive clear alerts at the right time.
✨ Add it to your chart today — let smart filters guide your trades 🚀
Liquidity StatusKey Points
The Liquidity Status (LS) indicator is designed to directly monitor liquidity conditions and determine if they are Bullish or Bearish.
If conditions are bullish, the candle is painted green (or whichever color is chosen by you to represent bullish liquidity) and the expected price action is up.
If conditions are bearish, the candle is painted red (or whichever color is chosen by you to represent bearish liquidity) and the expected price action is down.
LS allows you to monitor for when traders are absorbing or supplying liquidity and in which direction the liquidity is flowing.
LS works on equities, cryptocurrencies, forex, options data, and futures.
Summary
The Liquidity Status (LS) indicator measures liquidity directly without relying on bid/ask spreads, order-book information, or any other traditional means. The benefit of this non-traditional approach is a novel and unique way to interpret and analyze liquidity in the market.
LS is designed to be as straightforward as possible: when conditions are bullish then the outlook is bullish and the candles are painted the bullish color (default: green), and when conditions are bearish then the outlook is bearish and the candles are painted the bearish color (default: red).
This means the candles are not colored based on their price movements but rather based on their liquidity status.
Additionally, LS indicates Liquidity Flow (LF) as well. LF indicates where the source of liquidity is or is moving towards: either towards the Ask (if the Bid is requiring liquidity then the liquidity source becomes the Ask), or towards the Bid (if the Ask is requiring liquidity then the liquidity source becomes the Bid). This can be helpful in early identification of trend changes.
The default settings are designed to be streamlined but the Settings section below outlines how to add additional information and detail to your charts if desired.
Examples
An example of LS on default setting:
With Full and Declarative reporting:
ES Futures:
Details
In the default settings, LS indicates if conditions are:
Bullish : meaning that current liquidity is bullish and so too are outlooks, or
Bearish: meaning that current liquidity is bearish and so too are outlooks.
There are additional data that are provided via LS, if toggled on (as described below). They include:
Aggressive Bid / Ask : This indicates that there is an aggressive trader present. Aggressive traders are large liquidity absorbers and are defined as having a sense of urgency in their trading that will cause them to go where-ever (whichever price) they can in order to transact. A classic Aggressive Bid, for instance, is a short-seller currently being squeezed.
Eager Bid / Ask : This indicates that there is an eager trader present. Eager traders are defined by their willingness to “cross the isle” in order to transact. For example, an eager bid will move to the ask in order to transact whereas an organic bid would not.
Organic Bid / Ask : This indicates that transactions are occurring at the organic traders. Organic traders are defined as having a large time-horizon and are value-seekers. For instance, an organic ask will likely move price up in order to sell high (the second part of buy low, sell high).
Additionally, LS indicates LF by specifying which party has the demand for liquidity and which has the supply for liquidity.
Flow to Ask : This indicates that the demand to transact is flowing to the ask (i.e.: the bid needs to transact more than the ask) and thus the ask is becoming the liquidity supplier.
Flow to Bid : This indicates that the demand to transact is flowing to the bid (i.e.: the ask needs to transact more than the bid) and thus the bid is becoming the liquidity supplier.
Neutral : No discernable difference in liquidity demand.
In combination, these signals can produce powerful measurements of underlying liquidity activity. For instance:
If LS indicates “At Organic Ask” and LF indicates “Flow to Ask” then this means that (1) transactions are predominantly occurring at or near the organic ask and (2) the organic ask is the dominate liquidity supplier. The consequence is likely substantial price appreciation (remember: the organic ask wants to sell high and now they are setting the terms and conditions of transacting!).
Example - How it started: transactions started to occur at the Organic Ask with Flow to Ask:
Example - How it ended:
Conversely, “At Organic Bid” and “Flow to Bid” indicates that transactions are predominantly occurring at or near the organic bid (who wants to buy low) and they the ones fulfilling the demand to transact coming from the ask. The expected outlook? Price depreciation as the organic bid lowers their orders to average down!
Example - How it started: transactions started to occur at Organic Bid with Flow to Bid:
Example - How it ended:
Lastly, LS (in combination with Liquidity Triggers) can identify moments of high-risk for bull and bear traps (see FAQ for details on how traps are found).
Example: Bear-Trap (with LT displayed)
Example: Bull-Trap (with LT displayed)
Customization
LS has many customization options available.
Sensitivity Mode
LS comes in a variety of sensitivities (for the nerds: adjusting the Sensitivity vs. Specificity), outlined below:
Aggressive : The Aggressive sensitivity mode puts LS in a state of hyper-awareness for anything that might indicate a change in overall liquidity status (i.e.: Bullish to Bearish or Bearish to Bullish) is underway. The benefit of the Aggressive mode is that it does not take much for LS to change its mind about current conditions. The trade-off, however, is increase in false alarms.
Balance : The balanced setting works to balance specificity (how right LS is) with sensitivity (how much chang it takes to convince LS to change its mind).
Conservative : The conservative setting is prone to change slower than both Aggressive and Balance but is intended to be more “certain” of the changes when they are indicated. This can lower the sensitivity (early entrances to trend-changes might be delayed slightly) in exchange for greater confidence in the future.
Diamond : This is the most specific and least sensitive option. Designed for when you only want LS to indicate a change with the strictest of criteria met.
Examples:
Aggressive LS:
Balanced LS:
Conservative LS:
Diamond LS:
LS Detail Amount
Controls how much detail and information you want displayed.
Simplified : Keeps messaging straightforward: Bearish or Bullish.
Full : Parsing the data for greater detail about if conditions are Strong or Weak. Produces candles and text output.
LS Reporting Style
Interpretive : Text output from LS is kept as either Bullish or Bearish.
Declarative : Additional information regarding if the transactions are being performed by an Aggressive, Eager or Organic trader.
LS Candle Replacement
In order to have LS produce candles colored by liquidity, the `LS Candle Replacement` option must be selected, along with deselecting the charts candle-making by going to Settings -> Symbol and de-selecting `Body`, `Border`, and `Wick`.
Otherwise, LS’ colors will be over-ridden by the chart.
Alerts
LS comes with several alerts to help keep track of changing liquidity conditions in the market. They include:
Is Bullish / Bearish : fires at the start of the candle if conditions are bullish/bearish.
Has Become Bullish / Bearish : Fires at the end of the candle if conditions have swapped (as compared to the previous candle).
Flow is to Ask / Bid : Fires at the start of the candle to indicate which direction liquidity is flowing via LF.
Flow Switch to Bid / Ask : Fires if there is a change in the LF from one to the other.
Suspected Bear Trap : Fires if a bear trap is detected.
Suspected Bear Trap Ended : Fires if an on-going bear-trap has ended.
Suspected Bull Trap : Fires if a bull trap is detected.
Suspected Bull Trap Ended : Fires if an on-going bull-trap has ended.
Frequently Asked Questions
How can I get access to LS?
Please see the Author’s Instructions for more information.
Where can I get more information on LS?
Please see the Author’s Instructions for more information.
I tried to add LS to my chart but nothing is showing.
That’s no good! Be sure that the indicator hasn’t errored out (if there is a small red dot next to its name then it has errored out). If it has, then try re-applying the indicator to your chart.
If there is no error indicated, and you still do not see anything it may be likely that the requested symbol either:
Doesn’t have sufficient data to calculate LS on, or
Lacks the data for LS to be calculated completed.
To check, try using LS on a smaller interval. If LS starts to populate, it is likely that the needed data is present but just not enough for the timeframe you were interested in. If there is no LS even when moving to lower intervals, then it may be that the specified underlying lacks the required data.
How come LS is saying things are Bearish but price is going up?
Sometimes that can happen! But until LS indicates bullish liquidity, the expectation is that price will fall back down.
How come LS is saying things are Bullish but price is going down?
Sometimes that can happen! But until LS indicates bearish liquidity, the expectation is that price will recover and continue moving on upwards.
How do you locate Bear and Bull traps?
LS has LT (Liquidity Triggers) baked into it for alerts and uses LT to compare expected conditions with real conditions. If LS and LT are mismatched then a trap is detected. The LT conditions checked are:
If LT is in a bull-stack : that means LT(144) > LT(377) > LT(610), or
If LT is in a bear-stack : that means LT(610) < LT(377) < LT(144)
Then once the stack is determined, if LS disagrees:
LS is indicating Bullish while LT is in a bear-stack, or
LS is indicating Bearish while LT is in a bull-stack
Then the alert is triggered (based off of LT’s orientation). This means:
If conditions are Bullish but LT is showing a Bearish stack, then a Bull Trap is detected, and
If conditions are Bearish but LT is showing a Bullish Stack, then a Bear Trap is detected.
I have questions and maybe a bug!
Please reach out and report! Please refer to the Author’s Instructions for more information on how to reach out.
Does LS get updates?
Yup! Improvements come relatively frequently and if you have any suggestions for improvements, please don’t hesitate to reach out.
NS ND - EVR - Daily Bias - TRFxVolume & Price Action Signals
What It Does
Combines three proven trading methodologies: Effort vs Result (EVR), No Supply/No Demand (NS/ND), and Daily Bias tracking for intraday traders.
Features
Effort vs Result (EVR)
- **Bullish**: Green triangle below bar when price sweeps previous low with high volume and significant wick
- **Bearish**: Red triangle above bar when price sweeps previous high with high volume and significant wick
- Identifies potential reversals where volume doesn't match price movement
No Supply / No Demand (NS/ND)
- **No Demand (Red dot)**: Up-candle with declining volume - buyers weakening
- **No Supply (Green dot)**: Down-candle with declining volume - sellers weakening
- Grey dots = unconfirmed, colored dots = confirmed within lookahead period
- Based on Volume Spread Analysis (VSA) principles
Daily Bias Label
Top-right corner shows market direction:
- **BULLISH ↑** - Closed above Previous Day High
- **BEARISH ↓** - Closed below Previous Day Low
- **BULLISH/BEARISH REV** - Swept level but closed back inside
- **RANGE ↔** - Trading between PDH/PDL
## Settings
- **EVR**: Toggle on/off, volume multiplier, wick %, inside bars, transparency
- **NS/ND**: Toggle on/off, lookahead bars (default: 10)
- **Daily Bias**: Toggle label display
## Best For
✓ Intraday trading (1m-1h timeframes)
✓ Reversal setups
✓ Volume analysis
✓ Confluence trading (all signals align)
How to Use
1. Enable components you want (all can be toggled independently)
2. Trade EVR signals in direction of Daily Bias
3. Look for NS/ND confirmation at key levels
4. Wait for colored dots (confirmed signals) over grey (unconfirmed)
**Note**: Works on intraday timeframes only. NS/ND signals may repaint during confirmation period.
Customizable Dashboard (SIMPLE)This is a custom table where you can track any ticker and it's daily change. color coded to make things easy.
COT Raw Net Positions📊 What the COT Raw Data Shows — and Why It’s So Valuable
The COT Raw view displays the actual net positions of each trader group (Commercials, Large Speculators, and Retail/Small Traders) as reported weekly by the CFTC.
Instead of normalizing or smoothing the data, it shows the real contract numbers — how many futures contracts each group is long or short.
This raw form of the data offers pure transparency into market positioning.
It allows traders to:
See the true scale of institutional buying or selling pressure.
Understand how different market participants are behaving week to week.
Spot early accumulation or distribution phases long before they become visible on price charts.
Compare multiple assets side by side to gauge relative strength across markets.
While the COT Index simplifies things by showing where current positions sit relative to history, the COT Raw view provides context and depth — helping experienced traders understand why those extremes are forming.
In essence:
📈 COT Raw = the foundation of the data — it shows what’s really happening under the surface.
It’s a must-have for traders who want to study institutional flows, analyze correlations, and confirm macro sentiment shifts directly from the source.
⚠️ Note: As with all COT-based tools, the data updates weekly and is best interpreted on weekly or higher timeframes.
COT INDEX🧠 What the COT (Commitment of Traders) Report Tells Us
The COT report is one of the most powerful tools for understanding what’s happening behind the price.
Published weekly by the CFTC (Commodity Futures Trading Commission), it shows how different groups of market participants — mainly Commercials (hedgers), Large Speculators (funds), and Retail/Small Traders — are positioned in the futures markets.
In simple terms:
Commercials (like producers and large corporations) usually trade against the trend to hedge risk.
Large Speculators (like hedge funds and institutions) often drive the trend.
Retail traders tend to follow late and are often positioned on the wrong side at turning points.
By tracking these positions, traders can spot extreme sentiment levels — moments when big players are heavily long or short. Such extremes often precede major market reversals or trend continuations.
That’s why the COT indicator is so valuable:
It reveals the real market positioning of institutions versus retail.
It helps identify contrarian opportunities when the crowd is overexposed.
It provides a macro-level confirmation for swing or position trades.
⚠️ Note:
Because the COT data is released once per week, this indicator is designed to work only on weekly charts — it’s a long-term sentiment and positioning tool, not a short-term timing signal.
Square of natural number_RAMLAKSHMANDASThis indicator draws horizontal lines at square-number price levels around the square root of the current closing price. Inspired by Gann’s geometric approach, these lines serve as potential support and resistance levels. Each line is labeled with its price for easy identification. Traders can use it to visualize mathematically significant zones, identify reversal points, and enhance numerical trading strategies.
Pine Script Indicator: Odd Square Levels
This Pine Script indicator, designed for TradingView v6, plots dynamic horizontal support and resistance levels on the chart based on the square root of the current close price. It adheres to the specific principles of Gann theory, focusing exclusively on odd square numbers.
How it Works:
The indicator first calculates a base number by taking the square root of the current bar's close price and rounding it. This base number acts as the center of a user-defined range. The script then iterates through all the natural numbers within this range.
For each number in the range, it performs a check:
If the number is odd, the script calculates its square and plots a horizontal line at that price level.
If the number is even, the script adds 1 to the number before squaring it and plotting the line. This ensures that only levels corresponding to odd squares are ever drawn.
Key Features:
Dynamic Levels: The levels automatically adjust as the market price changes, providing real-time support and resistance zones.
Customizable Range: The user can specify an offset (e.g., ±10) around the square root of the price to control the number of levels displayed.
Visual Customization: Users can modify the color and width of the lines to suit their preference.
On-Chart Labels: The indicator can be configured to display a label next to each line, showing the number squared and the resulting price level (e.g., 3² = 9).
Performance Optimization: The indicator is designed to run efficiently by deleting old drawings on each new bar, preventing chart clutter and ensuring a smooth experience.
Ideal Usage:
This indicator is a powerful tool for traders who follow Gann theory or are looking for unconventional support and resistance levels. The levels are particularly useful for identifying potential trend reversals or areas of strong confluence with other trading strategies. It is recommended to use the indicator on volatile asset classes where price movements are significant, such as cryptocurrencies, as these assets tend to follow these types of mathematical relationships.
Katana_Fox RSI Pro - Advanced Momentum Indicator with Clear BUOverview:
Connors RSI Pro is a sophisticated enhancement of the classic Connors RSI indicator, designed for traders who demand professional-grade tools. This premium version combines multiple momentum components with intelligent signaling and beautiful visualization to give you an edge in the markets.
Key Features:
🎯 Clear BUY/SELL Signal System
BUY signals in green when CRSI crosses above oversold level
SELL signals in red when CRSI crosses below overbought level
Clean, professional labels that are easy to read
Customizable overbought/oversold levels (70/30 default)
🎨 Professional Visualization
Modern color scheme that adapts to market conditions
Customizable background fills for better readability
Smooth, easy-to-read line plotting
⚡ Enhanced Calculations
Triple-component momentum analysis (RSI, UpDown RSI, Percent Rank)
EMA smoothing for reduced noise and false signals
Configurable lengths for each component
🔔 Advanced Alert System
4 distinct alert conditions for various market scenarios
Compatible with TradingView's native alert system
Perfect for automated trading strategies
Input Parameters:
RSI Length (3): Period for standard RSI calculation
UpDown Length (2): Period for UpDown RSI component
ROC Length (100): Period for Rate of Change percentile ranking
Signal Alerts: Toggle BUY/SELL signals on/off
Custom Colors: Choose between classic and modern color schemes
Trading Signals:
BUY (Green Label): Bullish signal when CRSI crosses above oversold level
SELL (Red Label): Bearish signal when CRSI crosses below overbought level
Background Colors: Visual zones indicating momentum strength
Ideal For:
Swing traders seeking momentum reversals
Day traders looking for overbought/oversold conditions
Algorithmic traders needing reliable signals
Technical analysts wanting multi-timeframe confirmation
How to Use:
Oversold Bounce: Enter long when CRSI shows BUY signal above 30
Overbought Rejection: Enter short when CRSI shows SELL signal below 70
Trend Confirmation: Use the 50-level crossover for trend direction
Divergence Trading: Look for price/indicator divergences at extremes
Upgrade your trading arsenal with Connors RSI Pro - where professional analytics meet clear trading signals!
Mitigation Blocks — Lite (ICT) + Stats + Entry75Mitigation Blocks — Lite (ICT) + Stats + Entry75
What it does
This indicator finds recent Mitigation Blocks (ICT-style) and draws a single active bullish and bearish block on the chart.
It also plots the 75% entry level for each active block and shows a compact performance HUD (“Отработано / Worked”) so you can quickly judge how well blocks have been reacting on the current symbol and timeframe.
Logic (brief)
Structure impulse
A new block is created when price breaks the last swing (pivot-based) with an optional ATR body filter.
After an upswing break → search the most recent bearish candle within a lookback window → its body defines the bullish block (top/bottom = max/min of that candle’s open/close).
After a downswing break → search the most recent bullish candle → defines the bearish block.
Touch & mitigation
First time price touches a block, the block is marked mitigated (border becomes dashed).
Entry line for that block is removed (no history clutter to the left).
75% entry levels
Long (bullish block): entry = top − 0.75 × (top − bottom) (deeper inside from the top).
Short (bearish block): entry = bottom + 0.75 × (top − bottom) (deeper inside from the bottom).
Lines are drawn only to the right (history on the left is hidden).
Stats (HUD)
The HUD shows Worked% per side: percentage of first touches that reached a simple target in the check window.
Current version uses a conservative proxy: success if, within the next bars, price moved away from the block by at least ~1×ATR (internally calculated) without first invalidating the block’s opposite boundary.
Values are accumulated while the script runs on the loaded chart range.
Inputs
Structure
Swing length (pivot) — pivot size to detect last swing.
Require minimum impulse / Min body × ATR / ATR length — filter for strong displacement bars.
Search last opposite candle (bars back) — lookback to find the candle that defines the block.
Style
Fill & border colors for bullish/bearish blocks.
Mitigated border color (dashed on first touch).
Entry 75% lines
Show 75% entry lines (on/off)
Colors and line width.
Autoscale
Optional hidden anchor plots for better autoscaling.
On-chart elements
Active bullish/bearish block (rectangle, extended right).
Dashed border once the block is mitigated (first touch).
75% entry line for each non-mitigated block (drawn only to the right; removed on mitigation).
HUD (top-right):
LONG | Worked: XX.X% |
SHORT | Worked: XX.X% |
If there is no active (non-mitigated) block on a side, the entry cell shows “ожидаем” (“waiting”).
How to read it
Trade from block to block: use the 75% line as a reference entry inside the zone; stops are commonly placed beyond the opposite side of the block.
Worked% helps compare symbols/timeframes: higher with a decent sample typically means more reliable reactions.
The indicator shows only the latest valid block per side to keep the chart clean.
Notes & tips
This is a discretionary tool intended to support ICT-style execution; it is not a strategy and does not place trades.
Try different timeframes. Many users prefer M5–H1 for entries and H4–D1 for context.
You can turn off entry lines if you only want the zones.
Because stats are computed on the visible history while the script runs, switching symbols/TFs will reset the counters.
Inputs (defaults)
Pivot length: 5
ATR length: 14
Min body × ATR: 1.0 (enable/disable filter)
Opposite candle lookback: 5
Entry 75% lines: ON
Position Size CalculatorPosition Size CalculatorRisk Management Made Simple – Size Your Trades Like a Pro!Tired of guessing position sizes and blowing up your account on oversized trades? This Pine Script indicator automates position sizing based on your risk tolerance, ensuring every trade risks only what you've predefined. Perfect for stocks, forex, crypto, or futures—works for long or short setups. Overlay it on your candlestick chart and watch the math do the work.Key Features:Smart Risk Control: Input your account size (e.g., $70k) and risk % (e.g., 1%). It caps your max loss per trade automatically.
Dynamic Entry & Stop: Use live chart close as entry, or click to set a manual entry level (green solid line). For stops, toggle manual placement (red broken line) or use a % distance—auto-calculates the effective % for precision.
Visual Markers: Green line for entry price, red dashed line for stop loss—spans your chart for easy spotting.
Customizable Table: Floating info panel shows Account Size, Risk Amount, Stop Distance %, and Position Size (shares/lots). Drag its position via settings (top-right default).
No More Guesswork: Formula: Position Size = (Account × Risk %) ÷ Stop Distance. Handles edge cases like tiny distances to avoid div-by-zero.
How to Use:Add to your chart via Pine Editor.
In settings: Set account size/risk %. Toggle "Use Manual Entry Price" and click chart to place green line. Do the same for stop (red line) or use % input.
Table updates live—grab the position size and execute!
Pro Tip: For shorts/longs, the abs distance keeps risk symmetric. Test on demo first.
Built for v6—clean, lightweight, and 100% customizable. Share your tweaks in comments! Remember, this is a tool, not advice—trade responsibly. (Inspired by classic Kelly Criterion vibes, but simplified for daily grinders.)
