PhiCube DUPLAMIMACONThis PhiCube indicator defines the support and resistance limits of the PhiCube fractals in consolidation. It is similar to the MIMACON indicator, but suggests even stronger support and resistance due to the participation of an additional fractal in the fan. The height of the consolidation typically grows at the trend continues. The active consolidation is defined by two lines of identical colors. When price reacts at the upper line of a colored line, it will typically fall to the same colored line below (and vice versa).
Este indicador PhiCube define os limites de suporte e resistência dos fractais PhiCube em consolidação. É similar ao indicador MIMACON, mas sugere suporte e resistência ainda mais forte, sendo que mais um fractal esteja participando no leque. A altura da consolidação cresce enquanto a tendência crescer. A consolidação ativa é definida por linhas de cores identicas. Quando o preço reage na linha colorida em cima, ele tipicamente cai até a linha da mesma cor em baixo (e vice versa).
Pesquisar nos scripts por "Fractal"
PhiCube MIMAROC SuiteThis composite PhiCube indicator measures the slope (also referred to as velocity or rate of change ROC) of the PhiCube MIMA lines. Each fractal PhiCube is represented by a single colored line which oscillates above and below zero. The relative behavior of the PhiCube fractals indicates trend or consolidation. All lines above zero indicate a pure uptrend. All lines below zero indicate a pure downtrend. Lines on opposite sides of the zero line indicate consolidation. This indicator provides powerful clues of future behavior in direction, velocity, acceleration, and reversal. Pay close attention not only to the position of the lines above or below zero, but also to their numerical alignment (fans) and any visible divergences.
Este indicador PhiCube é composto de 6 linhas individuais. Cada fractal PhiCube é representado por uma linha individual, que mede a velocidade (inclinação) da sua respectiva MIMA. Assim, podemos medir o comportamento relativo dos fractais PhiCube para determinar se o preço está em tendência de alta, tendência de baixa ou consolidado. Todas as linhas acima de zero sugerem tendência de alta. Todas as linhas abaixo de zero sugerem tendência de baixa. Linhas em lados opostos da linha zero indicam consolidação. Este indicador fornece dicas poderosas sobre direção, velocidade, aceleração e reversão. Presta atenção não somente ao posicionamento de cada linha relativa a linha zero, mas também no alinhamento numérico das linhas e/ou divergências presentes nos topos e fundos.
RSX-D [ID: AC-P]The "AC-P" version of Jaggedsoft's RSX Divergence and Everget's RSX script is my personal customized version of RSX with the following additions and modifications:
LSMA-D line that averages in three LSMA components to form a composite, the LSMA-D line. Offset for the LSMA-D line is set to -2 to offset latency from averaging togther the LSMA components to form a composite - recommended to adjust to your timeframe and asset/pair accordingly.
Divergence component from JustUncle, RicardoSantos, and Neobutane divergence scripts
Crossover indication and alerts for Midline, and custom M1 and M2 levels for both RSX and the LSMA-D line from Daveatt's CCI Stochastic Script
EMA21/55 zone cross highlighting option
SMA9/EMA45 MA option from my RSI sma/ema Cu script
Libertus Divergences and Pivot labels from Jaggedsoft's RSX Divergence script are hidden/off by default
Designed for darkmode by default. Minor visual changes from Jaggedsoft's and Everget's script(s) for darkmode and visual aesthetic.
Please Note:
Divergences that use fractal-based detection logic, offset, or a combination of both generally have a 1-2 bar/candle lag. This is an INHERENT limitation of divergence detection with fractals and offsets. Divergences generally will have a higher strikerate on HTF than LTF due to the 1-2 bar lag. While I'm not going to rule out a programming solution or math construct/formula that attempts to alleivates the 1-2 bar lag for divergences, this script is not it - please keep that in mind when using divergence components with a fractal base and offset.
LSMA-D is a composite of three LSMA lines, all with offset options. Different lengths and Offset values can compensate/adjust for the smoothing/latency from RSX, but only up to a certain point. For each LSMA, the least square regression line is calculated for the previous time periods, so the idea is that with finely tuned adjustments, you can get crossover/crossunder signals from the RSX with the LSMA-D line that you simply can't get with the SMA9/EMA45 due to the already smoothed RSX.
The defaults for the RSX and various components for the LSMA-D here will MOSTLY LIKELY NOT WORK OR BE APPLICABLE to every timeframe and asset that you trade - adjust, backtest, and test accordingly. The defaults are here are MEANT to be adjusted to the asset class and timeframe that you are trading.
If you're not familiar with the LSMA, tradingview author Alexgrover has a few great scripts that go into detail how the LSMA works, in addition to different interpretations and implementations of the LSMA.
References/Acknowledgements:
//@version=4
// Copyright (c) 2019-present, Alex Orekhov (everget)
// Jurik RSX script may be freely distributed under the MIT license.
//
//-------------------------------------------------------------------
// Acknowledgements:
//---- Base script:
// RSX Divergence — SharkCIA by Jaggedsoft
//
// Jurik Moving Average by Everget
//
//---- Divergences/Signals:
// Libertus RSI Divergences
//
// Price Divergence Dectector V3 by JustUncle
//
// Price Divergence Detector V2 by RicardoSantos
//
// Stochastic RSI with Divergences by Neobutane
//
// CCI Stochastic by Daveatt
//
//---- Misc. Reference:
// RSI SMA/EMA Cu by Auroagwei
//
// CBCI Cu by Auroagwei
//
// Chop and explode by fhenry0331
//
// T-Step LSMA by RafaelZioni
//
// Scripts by Jaggedsoft for structure and formatting
// Scripts by Everget for structure and formatting
//-------------------------------------------------------------------
// RSX-D v08
// Author: Auroagwei
// www.tradingview.com
//-------------------------------------------------------------------
Guerrilla AdvancedThis indicator was designed with people without Pro License in mind (Including many of my close friends).
Basically, you will get a combo of few different tools in one box, with ability to turn them on and off with a single check mark, also, you have total control over the input numbers that was used in calculations if you so want to, for example, sometimes when i see a massive bullish up trend, i reduce the short rally from 12 to 8 even 6 to get faster signal for selling the trend.
So, what will you get in this pack?
1- Ichimoko. Yes, you heard it right, although we have it in the default tools but hey, it will use one indicator slot and if you don't have a pro license, you will use that slot
2- Rally. This is an old yet very powerful system for getting buy or sell signals, basically, you get two lines and for making the life easier i draw a cloud between them. when the trend passes above the cloud and it was bellow it in past, right after the very first candle that gets above the cloud you can put the buy order, and vice versa, the moment a candle body enters the cloud, if you want an aggressive signal, you can sell, if not, you may want to wait to see if the candles drop bellow the cloud or not then decide.
3- Resistance Support Cloud. Most of us always heard about resistance and support "lines" but many of us don't know that, in each trend, the trend line itself is a resistance or support line, and when you are going in a bullish or bearish tunnel, the floor and roof of tunnels are again resistance and supports, using this part of the tool, just like rally, you get a cloud that shows you the resistance / support "zone"
4- William Fractals. To be honest, I got this part of the code from another source available around. Why? looking at those fractal indicators, you can easily eyeball the trend line or existence of a tunnel.
5- Different EMA lines. If you are one of those people that use EMA lines for their trading, have fun with them, there are few different standard ones and even a custom one that you can put your desired number for it.
[DarkTrader] Swing OrderflowSwing Orderflow is a indicator that helps traders detect key swing highs and lows in price action. It is designed to enhance your charting experience by highlighting important support and resistance levels while providing clear visual cues on market structure changes. By tracking swing pivots and price trends, this indicator enables traders to make more informed decisions regarding potential entry and exit points in the market.
This indicator is inspired by @Fractalyst Indicator :
The core functionality of the script revolves around detecting swing highs and lows based on a customizable swing period. It identifies these pivots by comparing price movements over a specific time window, marking the points where price either peaks or bottoms out. Swing highs are plotted as resistance levels when the price breaks above a certain threshold, while swing lows are plotted as support levels when price breaks below it. These key points are represented with dotted lines and labels on the chart for easy reference.
Indicator In Use :
Swing High Calculation
A swing high occurs when the high of a specific bar (or candle) is greater than the highs of the surrounding bars within a defined range (called the swing period).
Function used to find the highest price within a specified range : ta.highest(period)
If the current price is greater than the highest price of this period, it's marked as a potential swing high.
A swing high generally represents a resistance level, where the price has reached a peak before declining.
Swing Low Calculation
A swing low occurs when the low of a specific bar is lower than the lows of the surrounding bars within the swing period.
Function used to find the lowest price within a specified range : ta.lowest(period)
If the current price is lower than this lowest price, it's identified as a swing low.
Swing lows represent support levels, where the price reaches a bottom before bouncing back.
These points are plotted on the chart, and the script also tracks whether price breaks above the swing high or below the swing low to determine trends or possible reversals.
BSL (Buy Side Liquidity)
BSL represents the Buy Side Liquidity, where traders are expected to have their buy orders (usually stop-loss orders for short positions).
When the price reaches a swing high, traders who are short may have stop orders placed above this level. Once these levels are breached, the script identifies this as a liquidity area where stop orders get triggered, causing potential upward price movement.
The script marks the swing high with a "BSL" label and line to indicate this key resistance and liquidity zone.
SSL (Sell Side Liquidity)
SSL refers to the Sell Side Liquidity, where traders place sell orders (usually stop-loss orders for long positions).
Swing lows are important levels where traders holding long positions place their stop orders. When the price drops below a swing low, it triggers these sell orders, causing potential downward price movement.
The script marks the swing low with an "SSL" label and line, signaling this key support and liquidity zone.
In essence, BSL and SSL represent areas where liquidity is pooled, making them critical points in price action. These liquidity areas, when breached, often lead to aggressive price moves, allowing traders to anticipate trends.
ka66: Swing/Pivot Point LinesThis indicator draws swing-highs and swing-lows, also called pivot highs and lows.
A swing high is a bar which has a higher-high than its surrounding bars (to the left and the right).
A swing low is a bar which has a lower-low than its surrounding bars (to the left and the right).
A common example of a pivot is Bill Williams' Fractal, which specifies that the centre bar must have a higher high than 2 bars to its left, and 2 bars to its right for a swing high, taking into account 5 bars at a time. Similarly, for a swing low, the centre bar must have a lower low than the 2 bars to its left and right.
This indicator allows configurable adjacent bars as input. Entering 2, means it essentially picks out a Williams Fractal. But you can select 1 (say for higher timeframes), using one 1 bar to the left and right of the centre bar.
The indicator will draw Swing/Pivot High/Low as circles at the same price level as the centre bar, till the next one shows up. Drawing is offset so it starts at the centre bar (the swing bar), showing exactly where the pivot bar is.
There are 2 main uses of pivot points, in various strategies:
Market Structure: to objectively define higher-highs/lows and lower-highs/lows in Trend Analysis.
More generally, to then determine if a trend might reverse, or continue as pivot levels are broken.
Messy pivot structures easily point out ranging markets.
There are a few of these, some closed source, which I don't like, since I think people should generally know what they are trading with, and I want to make sure I understand the logic exactly.
Alpha-Numerologia by Alien CrewAlpha-Numerologia is our latest generation of market analytical tools, built completely from the ground up using a new cutting-edge mathematical formula, designed by the Alien Crew team.
The purpose of this tool, is to tap into the mathematics behind the market prices themselves, in order to extrapolate areas where the price is likely to find support or resistance. This indicator does not use Fibonacci or Pivot Points in any way whatsoever. It does however rhyme with them every now and then, as is the systematic nature of markets. The key strength of this indicator is its ability to adapt to ever-evolving market conditions, providing users with a real-time, clear visualization of essential price zones.
There are several aspects to the process that goes on in this algorithm. Firstly, it gathers range data from multiple lookback periods of time to understand the underlying asset volatility and reference points for calculation. Following that, it identifies the numerical structure of all the ranges, and finds their common denominators, which are essentially subsets. These subsets are then scaled in real-time, reacting to the change in volatility. A scaling mechanism occurs when the volatility either increases or decreases, causing the algorithm to recalculate the levels using the identified subsets. Since each subset has the same character as the whole, it is by definition a fractal. From a mathematical standpoint, such subsets have no limits on scale. They can be infinitesimal, or infinitely large.
Such a fractal nature provides the benefit of this algorithm being able to adjust to virtually any asset and any chart timeframe. Furthermore, through the monitoring of several temporal periods it is able to correlate alignments of the subsets, which is denominated as a percentage on the chart. Such confluences give more importance to the detected level.
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Remember, the world of trading comes with significant risks and unpredictability. While the Alpha-Numerologia Indicator is a highly sophisticated tool, it should be used in combination with other analytical techniques and a sound risk management strategy. Always conduct your own research before making trading decisions. Due to the extended research and work placed into it, the inner workings behind Alpha-Numerologia are proprietary, and shall not be discussed or disclosed in any way by Alien Crew. The source code is not for sale either.
FibLines2This script is a new version of "FibLines" which automatically draws Fibonacci Lines on chart.
0% line and 100% line are determined by "Period" and "Delay" parameter.
◆Params
- Period: specifies periods to detect the highest (bearish) fractal and the lowest (bullish) fractal.
- Delay: specifies the number of new bars you ignore.
(👇 old version)
古诗缠论更新11-28Chan Theory (or "The Entanglement Theory") is a technical analysis framework developed by Li Biao, combining market fractals, self-similarity, and Eastern philosophy. It identifies price patterns through core concepts like Fenxing (reversal signals), Bi (directional strokes), and Zhongshu (consolidation zones). Based on fractal and multi-level structures, it reveals market order and turning points, offering systematic entry/exit signals. Widely used in stocks, futures, and forex, Chan Theory helps traders decode market behavior through structured, logical patterns.
Liquidity Structure & Sweeps [Visualized]Liquidity Structure & Sweeps | 流动性结构与猎杀
1. Design Philosophy & Logic
This indicator is designed based on Smart Money Concepts (SMC) and Market Microstructure principles. Unlike traditional indicators that rely on lagging averages or repainting fractals, this script focuses on "Objective Structure" and "Liquidity Grabs".
The core design philosophy rests on three pillars:
Zero Repainting (Real-time Integrity): We utilize a strict "Left-Side Confirmation" algorithm. A structure level is only stored in memory when the candle is fully closed (barstate.isconfirmed). This ensures that the historical signals you see are exactly what happened in real-time.
Institutional Memory (Visualized): Markets "remember" key levels. This script draws dashed lines extending from valid pivot points. These lines represent "resting liquidity" (Stop Orders). They remain on the chart until the price interacts with them.
Sweep vs. Breakout: Not all breaches are equal. We specifically look for "Sweeps" (Liquidity Grabs) — where price pierces a level but closes back inside. This is a classic sign of absorption and potential reversal, distinct from a structural breakout.
2. Key Features
Visualized Order Blocks: Automatically draws potential support (Green Dotted) and resistance (Red Dotted) lines based on fractal points.
Wick Detection: Filters out strong momentum breakouts. Signals are only generated when a specific "Wick Ratio" is met, indicating a rejection.
Clean Charts: Features a "Garbage Collection" mechanism. Once a level is swept, the line is removed, and a signal dot is placed. Old, untouched levels are automatically cycled out to prevent chart clutter.
3. How to Use
The Lines (Context):
Red Dotted Line: Buy-side Liquidity (Resistance). Expect potential shorts or breakouts here.
Green Dotted Line: Sell-side Liquidity (Support). Expect potential longs or breakdowns here.
The Signals (Action):
Red Dot (Bearish Sweep): Price spiked above a Resistance Line but closed below it. This suggests long stops were hunted, and bears are stepping in.
Green Dot (Bullish Sweep): Price spiked below a Support Line but closed above it. This suggests short stops were hunted, and bulls are stepping in.
Configuration:
Structure Length: Adjusts sensitivity. Higher values (e.g., 20-50) find major swing points; lower values (e.g., 5-10) find scalping setups.
Wick Filter %: The minimum size of the wick relative to the breakout. Increase this to filter for only the most dramatic rejections.
4. Developer Notes & Considerations
Why do lines disappear? In this logic, liquidity is treated as "Fuel". Once a level is swept (the stop orders are triggered), the fuel is consumed. Keeping the line would clutter the chart with invalid data.
Why is the dot small? The indicator is designed to be part of a toolchain, not a standalone signal. The minimalist design prevents visual interference with price action or other indicators.
1. 设计思路与核心逻辑
本指标基于 聪明钱概念 (SMC) 与 市场微观结构 原理设计。不同于依赖滞后均线或存在重绘问题的传统分形指标，本脚本专注于捕捉 “客观结构” 与 “流动性猎杀 (Liquidity Grabs)”。
核心设计哲学包含三大支柱：
零重绘 (Zero Repainting): 我们采用了严格的“左侧确认”算法。所有的结构位仅在K线完全收盘 (barstate.isconfirmed) 后才会被记录。这保证了您回测看到的信号与实盘完全一致，杜绝“未来函数”陷阱。
可视化的机构记忆: 市场是有记忆的。本脚本会从有效的波段高低点引出虚线。这些虚线代表了“沉睡的流动性”（止损盘聚集区）。它们会一直延伸，直到价格触碰它们。
区分“猎杀”与“突破”: 并不是所有的破位都是一样的。我们专注于识别“扫损（Sweep）”——即价格刺破了关键位，但收盘价收回了关键位内部。这是典型的吸筹或派发信号，与趋势延续的真突破有本质区别。
2. 主要功能
结构可视化: 自动基于分形点绘制潜在的支撑线（绿色虚线）和阻力线（红色虚线）。
插针检测: 过滤掉强势的实体突破。只有当价格出现明显的“长影线”拒绝行为时，才会触发信号。
图表自清洁: 内置“垃圾回收”机制。一旦某个关键位的流动性被猎杀（触发信号），该线条会被自动删除。过旧且未被触碰的线条也会被自动替换，保持图表整洁。
3. 使用指南
线条 (市场语境):
红色虚线: 买方流动性池（阻力位）。
绿色虚线: 卖方流动性池（支撑位）。
信号点 (交易动作):
红色圆点 (看跌猎杀): 价格刺破了红色阻力线，但收盘价回落到线下方。这暗示多头止损被触发，主力可能正在建立空单。
绿色圆点 (看涨猎杀): 价格刺破了绿色支撑线，但收盘价反弹到线上方。这暗示空头止损被触发，主力可能正在建立多单。
参数设置建议:
Structure Length (结构周期): 调整灵敏度。数值越大（如 20-50）锁定大级别波段；数值越小（如 5-10）适合短线剥头皮。
Wick Filter % (影线过滤): 设置影线占价格波动的最小比例。调大该数值可以只看最剧烈的反转信号。
4. 开发者注记与潜在考量
为什么线条会消失？ 在本逻辑中，流动性被视为“燃料”。一旦发生猎杀（止损单成交），该位置的燃料即被消耗。移除线条是为了防止无效数据干扰判断。
为什么圆点设计得很小？ 该指标旨在成为您交易工具链的一部分，而非唯一的决策依据。极简设计是为了避免干扰裸K形态或其他指标的观察。
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这个脚本（我们称之为 Liq Structure Script）本质上是一个基于价格行为（Price Action）的结构猎杀探测器。
以下是详细的深度对比分析：
1. 如何使用？ (实战操作手册)
不要把它当作“红灯停绿灯行”的傻瓜指标。把它当作一个**“战场地图”**。
第一阶段：观察结构 (The Setup)
图表上会自动画出 红色虚线（上方压力）和 绿色虚线（下方支撑）。
解读：告诉自己，“这里埋着很多人的止损单”。不要在这里盲目追涨杀跌。
第二阶段：等待猎杀 (The Trigger)
耐心等待价格冲向这些虚线。
关键动作：价格刺破虚线，然后迅速收回。
信号确认：虚线消失，留下一个 红点（顶部猎杀）或 绿点（底部猎杀）。
第三阶段：进场逻辑 (The Execution)
做空逻辑：出现红点 + K线留长上影线 → 说明多头试图突破失败，被主力“倒了一盆冷水”。此时可尝试做空，止损设在刚刚那个最高点上方一点点。
做多逻辑：出现绿点 + K线留长下影线 → 说明空头试图砸盘失败，被主力接住了。
传统爆量是“燃料”，Liq 脚本是“引爆点”。没有引爆点的爆量可能是空转；没有爆量的引爆点可能是假摔。Liq 脚本是一个免费、轻量级、基于K线逻辑的替代品。它不需要你买昂贵的数据服务，它利用的是“图表形态学”中的流动性共识。
结论：如何定位这个工具？
这个脚本不是“预测未来的水晶球”，而是一个**“高胜率区域提示器”**。
用它来找位置（哪里有陷阱？）。
用成交量来做确认（是不是真的有主力介入？）。
用宏观逻辑来定方向（现在该做多还是做空？）。
它是你交易工具链中负责**“微观入场时机（Timing）”**的那一环。
Demand/Supply Oscillator_immyDemand/Supply Oscillator, probably the only D/S oscillator on TV which doesn't draw the lines on the chart but to show you the actual reasons behind the price moves.
Concept Overview
A demand/supply oscillator would aim to look for the hidden spots/order which institutes place in small quantities to not to upset the trend and suddenly place one big order to liquidate the retailers and make a final big move.
The lite color candles in histogram shows the hidden demand/supply which is the reason behind the sudden price pullback, even for short period of time.
Measure demand and supply based on volume, price movement, or candle structure
Identify price waves or impulses (e.g., using fractals, zigzag, or swing high/low logic)
Detect hidden demand/supply (e.g., low volume pullbacks or absorption zones)
Plotted on histogram boxes to visualize strength and direction of each wave
What “Hidden Demand” Means?
Hidden demand refers to buying pressure that isn’t immediately obvious from price action — in other words, buyers are active “behind the scenes” even though the price doesn’t yet show strong upward movement.
What Hidden supply Means?
refers to selling pressure that isn’t obvious yet on the price chart. It means smart money (big players) are quietly selling or distributing positions, even though the price might not be dropping sharply yet.
It usually appears when:
The price is pulling back slightly (down candle),
But volume or an oscillator (like RSI, MACD, or OBV) shows bullish strength (e.g., higher low or positive divergence).
That suggests smart money is accumulating (buying quietly) while the public may think it’s just a normal dip.
💹 Price Reaction — Up or Down?
If there is hidden demand, it’s generally a bullish signal → meaning price is likely to go up afterward.
However, on that exact candle, the price may still be down or neutral, because:
Hidden demand is “hidden” — buyers are absorbing supply quietly.
The move up usually comes after the hidden demand signal, not necessarily on the same candle.
📊 Example
Suppose:
Price makes a slightly lower low,
But RSI makes a higher low → this is bullish (hidden) divergence, or “hidden demand.”
➡️ Interpretation:
Smart buyers are stepping in → next few candles likely move up.
The current candle might still be red or show a small body — that’s okay. The key is the shift in underlying strength.
🧭 Quick Summary
Term Meaning Candle Effect Expected Move After
Hidden Demand Buyers active below surface Candle may still go down or stay flat
Hidden Supply Sellers active behind the scenes Price likely to rise soon
🛠️ Key Components
Best results with Price/Action e.g. Use swing high/low or zigzag to segment price into waves.
Optionally apply fractal logic for more refined wave detection
Combine with other indicators (e.g., RSI, OBV) for confirmation
Include zone strength metrics (e.g., “Power Number” as seen in some indicators)
Demand/Supply Calculation
Demand: Strong bullish candles, increasing volume, breakout zones
Supply: Strong bearish candles, volume spikes on down moves
Hidden Demand/Supply: Pullbacks with low volume or absorption candles
Histogram Visualization
Use plot() or plotshape() to draw histogram bars
Color-code bars: e.g., green for demand, red for supply, lite colors for hidden zones
Add alerts for wave transitions or hidden zone detection
How It Works
Demand/Supply: Detected when price moves strongly with volume spikes.
Hidden Zones: Detected when price moves but volume is low (potential absorption).
Histogram Values:
+2: Strong Demand
+1: Hidden Demand
-1: Hidden Supply
-2: Strong Supply
0: Neutral
Feature Demand (Visible) Hidden Demand
Visibility Clearly seen on price charts Subtle, often masked in consolidation
Participants Retail + Institutional Primarily Institutional
Price Behavior Sharp rallies from zone Sideways movement, low volatility
Tools to Identify Candlestick patterns, support zones Volume profile, order flow, price clusters
Risk/Reward Moderate (widely known) High (less crowded, early entry potential)
DAMMU SWING TRADING PROScalping and swing trading tool for 15-min and 1-min charts.
Designed for trend, pullback, and reversal analysis.
Works optionally with Heikin Ashi candles.
Indicators Used
EMAs:
EMA89/EMA75 (green)
EMA200/EMA180 (blue)
EMA633/EMA540 (black)
EMA5-12 channel & EMA12-36 ribbon for short-term trends
Price Action Channel (PAC) – EMA high/low/close, length adjustable
Fractals & Pristine Fractals (BW filter)
Higher High (HH), Lower High (LH), Higher Low (HL), Lower Low (LL) detection
Pivot Points – optional, disables fractals automatically
Bar color coding based on PAC:
Blue → Close above PAC
Red → Close below PAC
Gray → Close inside PAC
Trading Signals
PAC swing alerts: arrows or shapes when price exits PAC with optional 200 EMA filter.
RSI 14 signals (if added):
≥50 → BUY
<50 → SELL
Chart Setup
Two panes: 15-min (trend anchor) + 1-min (entry)
Optional Heikin Ashi candles
Use Sweetspot Gold2 for support/resistance “00” and “0” lines
Trendlines can be drawn using HH/LL or Pivot points
Usage Notes
Trade long only if price above EMA200; short only if below EMA200
Pullback into EMA channels/ribbons signals potential continuation
Fractals or pivot points help define trend reversals
PAC + EMA36 used for strong momentum confirmation
Alerts
Up/Down PAC exit alerts configurable with big arrows or labels
RSI labels show buy/sell zones (optional)
Works on both 15-min and 1-min timeframes
If you want, I can make an even shorter “super cheat-sheet” version for 1-page quick reference for trading. It will list only inputs, signals, and colors.
Price Action Trader [BackQuant]Price Action Trader
Introduction
Price Action Trader is an all-in-one, chart-side workflow for reading trend, timing impulses, and mapping high-probability zones the way discretionary traders actually trade. It blends an ensemble trend engine with clean price-action building blocks—Market Structure (BOS/MSB), Fair Value Gaps, Order Blocks, and Volumetric Support/Resistance—so you can form a bias, find confluence, and execute with context.
What is it
A modular “price-action stack” that:
Paints trend bias and impulse shifts on the chart (optional candle coloring).
Auto-annotates internal & swing structure (BOS / MSB).
Finds FVGs on your chosen timeframe and draws them cleanly.
Detects Order Blocks (with optional FVG confirmation).
Builds volumetric S/R levels that adapt to liquidity.
Emits alerts for key events (new levels, touches, breaks, OB creation/touch).
Everything is configurable—keep it minimal (trend + a few zones) or run the full toolkit.
What’s it used for
Bias first, trade second: establish direction/conviction, then execute where structure, gaps, blocks, and volume agree.
Timing: impulse flips and level touches provide actionable triggers.
Risk placement: OB edges, FVG midlines, and volumetric bands give logical stop/target references.
Review & journaling: optional session shading and labeled structures make post-trade notes simple.
Composite Trend Model
A lightweight signal line (default: 30-period) that turns green when the composite regime is bullish and red when bearish. Under the hood, multiple cues (adaptive momentum, de-noised oscillation, volatility-aware filters) are blended into a single directional score; when thresholds flip, the line recolors and optional Long/Short dots appear.
How to use
Treat the line as your bias rail : favor longs while green, shorts while red.
Flat/rapid flips = stand down or reduce size.
Prefer clean charts? Keep only the line and (optionally) trend-painted candles.
Inputs to know
Show Trend Signal Line / Width.
Paint Candles by Trend.
Long/Bearish color controls.
Impulse Model
Highlights short-term pressure shifts with optional impulse candle coloring and ▲/▼ markers. Great for entries in the prevailing trend and for early warnings when impulses fire against bias.
How to use
Up-bias: look for the next impulse-up near structure/FVG/OB or volumetric support.
Down-bias: mirror the logic.
Frequent counter-impulses → expect chop or regime change.
Inputs to know
Show Impulse Signals.
Paint Impulse Candles.
Market Structure
Automatic Internal (tight lookback) and Swing (wider lookback) structure with BOS and MSB (CHoCH) labels. You decide what to show—All, BOS only, MSB only—independently for internal vs swing.
How to use
Use Swing labels for the primary map; Internal for entry refinement.
After a bullish MSB , seek the first HL back into support/FVG/OB.
After a bearish BOS , favor LH fades into resistance/FVG/OB.
Inputs to know
Swing Lookback / Internal Lookback.
Swing/Internal Structure: All | BOS | MSB | None .
Separate bull/bear color controls for both layers.
Fair Value Gaps
Detects bullish/bearish FVGs on the current or higher TF, draws boxes, and can extend them forward. Midlines provide quick visual targeting.
How to use
In-trend fills: in an up-bias, tags of bullish FVGs often offer high-quality continuation entries, especially with structure/OB confluence.
Failed fills: rejections at the midline can signal emerging strength/weakness.
Inputs to know
Show FVG / Show Last N / Extend.
Timeframe (blank = chart TF; set higher TF for macro FVGs).
Bull/Bear colors (tune opacity to taste).
Volumetric Support and Resistance
Builds adaptive S/R from price interaction + relative volume over a rolling lookback. Levels store touch counts; you can show volume stats on labels or inside boxes. Transparency and border thickness can scale with volume so stronger levels are visually louder. Broken levels can auto-remove.
How to use
Use as confluence with structure, OBs, and FVGs. A long at volumetric support + Bull OB + FVG midline is qualitatively different from a naked level.
If a level breaks on strong volume, stop fading—flip expectations or wait for a clean retest.
Inputs to know
Detection Sensitivity / Volume Multiplier.
Analysis Period / Max Levels / Min Distance (%).
Remove Broken / Extend Right / Show Volume Info / Text Inside.
Support/Resistance colors (+ high-vol variants).
Alerts
New Support/Resistance Level Created.
Level Touch.
Level Break.
Order Blocks
Detects bullish/bearish OBs using configurable fractals (3- or 5-bar) with a break confirmation (by Close or High/Low). Optional FVG proximity filter, right-extension, and auto-delete when filled.
How to use
Bullish bias: stalk pullbacks into fresh Bull OBs aligned with a bullish FVG or volumetric support.
If price fills an opposing OB and fails to continue, reassess bias—context may be shifting.
Inputs to know
Fractal Type & Break Method (Close / HL).
Filter with FVG + Max FVG Distance.
Extend Blocks / Delete When Filled / Show Labels.
Alerts
New Order Block Created.
Order Block Touch.
Final Notes
Suggested workflow
Start with Composite Trend (bias).
Mark Swing structure in that direction.
Wait for an Impulse in-direction near an OB / FVG / Volumetric level.
Risk = nearest opposite level or OB edge; targets = FVG midlines / next S/R.
Timeframes & assets
Defaults suit liquid intraday and 1–4H swing.
Slower markets → lengthen lookbacks, lower sensitivity.
Very noisy crypto → keep trend visible, trim drawings (e.g., MSB only, last 3–5 FVGs, 8–12 volume levels).
Keep it readable
Turn off modules you don’t need today—fewer, higher-quality signals beat clutter.
About this release
Internal scoring, smoothing, and detection logic are proprietary. Behavior is controlled via inputs described above.
Trade with a plan, test your settings, and let confluence do the heavy lifting.
MA+BB+LineThis indicator integrates three major components: the MA System, Bollinger Bands, and Chan Theory fractals & segments:
MA System – Utilizes eight moving averages to form a comprehensive MA framework, allowing full customization of both the time periods and the calculation methods.
Bollinger Bands – Provides dynamic volatility tracking and price channel visualization.
Chan Theory Fractals & Segments – Implements a strict-mode automatic segmentation system based on Chan Theory:
Green arrows indicate top fractals
Red arrows indicate bottom fractals
These fractals are used to automatically generate trend segments with precision.
Chaos Theory : public release
What is Chaos Theory?
Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns.
Key Concepts:
The Butterfly Effect
The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas.
Sensitive Dependence on Initial Conditions
Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing.
Strange Attractors
In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones.
Fractals and Self-Similarity
Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales.
Deterministic Chaos
The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds.
Why This Matters for Trading
Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability.
This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next.
🌟 Welcome to the World of Chaos Theory
We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions.
🔮 Predictive vs. Reactive Systems
Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts.
📊 Understanding Probability-Based Prediction
A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions.
To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover.
📈 Performance Statistics
For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use.
⚠️ What This Is Not
What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas.
It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure.
🧩 Understanding Market Complexity
It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events.
---
📋 To Summarize:
🔬 1. Chaos Theory Application to Markets
- Novel Concept: Treating price as a chaotic particle rather than random movement
- What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds
- Your Benefit: Access to predictive mathematics previously used only in physics and meteorology
🧮 2. Complex Systems Mathematics
- Novel Concept: Applying non-linear dynamical systems theory to financial markets
- What This Means: Markets behave like complex adaptive systems with emergent properties
- Your Benefit: Understanding market behavior at a fundamental mathematical level
🎯 3. Probability Field Mapping
- Novel Concept: Creating mathematical probability fields for future price locations
- What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance
- Your Benefit: Trade toward mathematically-derived targets instead of guessing
---
💡 Why This is Fundamentally Different from All Other Indicators
📉 Traditional Indicators:
- Use historical price data to create lagging signals
- Based on statistical averages and linear mathematics
- Assume markets are random or follow simple patterns
- React to what already happened
🚀 This Chaos Theory Approach:
- Uses mathematical modeling to predict future probability zones
- Based on non-linear complex systems mathematics
- Treats markets as chaotic but predictable systems
- Proactively identifies where price is likely to go
No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets.
---
🎁 Concrete Benefits You Receive
💫 1. Predictive Intelligence
- Know probable price destinations before they're reached
- Eliminate guesswork in setting profit targets
- Make informed decisions about trade direction
🎯 2. Mathematical Precision
- Every zone placement has mathematical justification
- No subjective interpretation required
- Consistent application across all market conditions
🌍 3. Universal Market Application
- Works identically on forex, stocks, crypto, commodities
- No need to adjust parameters for different instruments
- Mathematical principles transcend market types
🏆 4. Professional-Grade Analysis
- Access to institutional-level mathematical modeling
- Same complexity as quantitative hedge fund systems
- Simplified visual output for practical trading
✅ 5. Real-Time Performance Validation
- Built-in statistics track actual prediction accuracy
- Transparent performance measurement
- Data-driven confidence in signal quality
🛡️ 6. Risk Management Precision
- Mathematically-defined probable targets of desired and undesired price locations
- Systematic approach eliminates emotional decisions
⏱️ 7. Multi-Timeframe Consistency
- Zones maintain mathematical validity across timeframes
- Higher timeframe bias with lower timeframe precision
- Coherent analysis from scalping to position trading
---
🌟 Novel Trading Advantages
Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones.
Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess.
Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics.
---
🔄 Why This Represents a Trading Evolution
From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen.
From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations.
From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes.
From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders.
This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are.
---
📚 How to Use the Indicator
🎨 Zone Mechanics
• Orange Zones: Target areas for price expansion
• Activation Trigger: Price must close outside any zone (full candle body, not just wicks)
• Primary Rule: Price travels to the next zone before closing back behind the originating zone border
🔴 Understanding the Red Dots
• Red dots on chart: Represent areas where we had valid zone sets available for trading
• Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred
• Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
Chaos Theory : Expansion Analysis Uncovering Probable Price PathWhat is Chaos Theory?
Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns.
Key Concepts:
The Butterfly Effect
The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas.
Sensitive Dependence on Initial Conditions
Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing.
Strange Attractors
In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones.
Fractals and Self-Similarity
Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales.
Deterministic Chaos
The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds.
Why This Matters for Trading
Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability.
This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next.
🌟 Welcome to the World of Chaos Theory
We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions.
🔮 Predictive vs. Reactive Systems
Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts.
📊 Understanding Probability-Based Prediction
A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions.
To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover.
📈 Performance Statistics
For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use.
⚠️ What This Is Not
What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas.
It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure.
🧩 Understanding Market Complexity
It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events.
---
📋 To Summarize:
🔬 1. Chaos Theory Application to Markets
- Novel Concept: Treating price as a chaotic particle rather than random movement
- What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds
- Your Benefit: Access to predictive mathematics previously used only in physics and meteorology
🧮 2. Complex Systems Mathematics
- Novel Concept: Applying non-linear dynamical systems theory to financial markets
- What This Means: Markets behave like complex adaptive systems with emergent properties
- Your Benefit: Understanding market behavior at a fundamental mathematical level
🎯 3. Probability Field Mapping
- Novel Concept: Creating mathematical probability fields for future price locations
- What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance
- Your Benefit: Trade toward mathematically-derived targets instead of guessing
---
💡 Why This is Fundamentally Different from All Other Indicators
📉 Traditional Indicators:
- Use historical price data to create lagging signals
- Based on statistical averages and linear mathematics
- Assume markets are random or follow simple patterns
- React to what already happened
🚀 This Chaos Theory Approach:
- Uses mathematical modeling to predict future probability zones
- Based on non-linear complex systems mathematics
- Treats markets as chaotic but predictable systems
- Proactively identifies where price is likely to go
No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets.
---
🎁 Concrete Benefits You Receive
💫 1. Predictive Intelligence
- Know probable price destinations before they're reached
- Eliminate guesswork in setting profit targets
- Make informed decisions about trade direction
🎯 2. Mathematical Precision
- Every zone placement has mathematical justification
- No subjective interpretation required
- Consistent application across all market conditions
🌍 3. Universal Market Application
- Works identically on forex, stocks, crypto, commodities
- No need to adjust parameters for different instruments
- Mathematical principles transcend market types
🏆 4. Professional-Grade Analysis
- Access to institutional-level mathematical modeling
- Same complexity as quantitative hedge fund systems
- Simplified visual output for practical trading
✅ 5. Real-Time Performance Validation
- Built-in statistics track actual prediction accuracy
- Transparent performance measurement
- Data-driven confidence in signal quality
🛡️ 6. Risk Management Precision
- Mathematically-defined probable targets of desired and undesired price locations
- Systematic approach eliminates emotional decisions
⏱️ 7. Multi-Timeframe Consistency
- Zones maintain mathematical validity across timeframes
- Higher timeframe bias with lower timeframe precision
- Coherent analysis from scalping to position trading
---
🌟 Novel Trading Advantages
Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones.
Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess.
Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics.
---
🔄 Why This Represents a Trading Evolution
From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen.
From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations.
From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes.
From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders.
This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are.
---
📚 How to Use the Indicator
🎨 Zone Mechanics
• Orange Zones: Target areas for price expansion
• Activation Trigger: Price must close outside any zone (full candle body, not just wicks)
• Primary Rule: Price travels to the next zone before closing back behind the originating zone border
🔴 Understanding the Red Dots
• Red dots on chart: Represent areas where we had valid zone sets available for trading
• Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred
• Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
ML: Lorentzian Classification Premium█ OVERVIEW
Lorentzian Classification Premium represents the culmination of two years of collaborative development with over 1,000 beta testers from the TradingView community. Building upon the foundation of the open-source version, this premium edition introduces powerful enhancements that transform how machine-learning classification can be applied to market analysis.
The premium version maintains the core Lorentzian distance-based classification algorithm while expanding its capabilities through triple the feature dimensionality (up to 15 features), sophisticated mean-reversion detection, first-pullback identification, and a comprehensive signal taxonomy that goes far beyond simple buy/sell signals. Whether you're building automated trading systems, conducting deep market research, or integrating proprietary indicators into ML workflows, this tool provides the advanced edge needed for professional-grade analysis.
█ BACKGROUND
Lorentzian Classification analyzes market structures, especially those exhibiting non-linear distortions under stress, by employing advanced distance metrics like the Lorentzian metric, prominent in fields such as relativity theory. Where traditional indicators assume flat space, we embrace the curve. The heart of this approach is the Lorentzian distance metric—a sophisticated mathematical tool. This framework adeptly navigates the complex curves and distortions of market space, aiming to provide insights that traditional analysis might miss, especially during moments of extreme volatility. It analyzes historical data from a multi-dimensional feature space consisting of various technical indicators of your choosing. Where traditional approaches fail, Lorentzian space reveals the true geometry of market dynamics.
Neighborhoods in Different Geometries: In the above figure, the Lorentzian metric creates distinctive cross-patterns aligned with feature axes (RSI, CCI, ADX), capturing both local similarity and dimensional extremes. This unique geometry allows the algorithm to recognize similar market conditions that Euclidean spheres and Manhattan diamonds would miss entirely. In LC Premium, users can have up to 15 features -- you are not limited to 3-dimensions.
Among the thousands of distance metrics discovered by mathematicians, each perceives data through its own geometric lens. The Lorentzian metric stands apart with its unique ability to capture market behavior during volatile events.
█ COMMUNITY-DRIVEN EVOLUTION
It has been profoundly humbling over the past 2 years to witness this indicator's evolution through the collaborative efforts of our incredible community. This journey has been shaped by thousands of user suggestions and validated through real-world application.
A particularly amazing milestone was the development of a complete community-driven Python port, which meticulously matched even the most minute PineScript quirks. Building on this solid foundation, a new command-line interface (CLI) has opened up exciting possibilities for chart-specific parameter optimization:
Early insights from parameter optimization research: Through grid-search testing across thousands of parameter combinations, the analysis identifies which parameters have the biggest effects on performance and maps regions of stability across different market regimes. This reveals that optimal neighbor counts vary significantly based on market conditions—opening up incredible potential for timeframe-specific optimization.
This is just one of the insights gleaned so far from this ongoing investigation. The potential for chart-specific optimization for any given timeframe could transform how traders approach parameter selection.
Demand from power users for extra capabilities—while keeping the open-source version simple—sparked this Premium release. The open-source branch remains maintained, but the premium tier adds unique features for those who need an analytical edge and to leverage their own custom indicators as feature series for the algorithm.
█ KEY PREMIUM FEATURES
📈 First Pullback Detection System
Automatically identifies high-probability trend-continuation entries after initial momentum moves.
Detects when price retraces to optimal entry zones following breakouts or trend initiations.
Green/red triangle signals often fire before main classification arrows.
Dedicated alerts for both bullish and bearish pullback opportunities.
Based on veryfid's extensive research into pullback mechanics and market structure.
🔄 Dynamic Kernel Regression Envelope
Powerful, zero-setup confluence layer that immediately communicates trend shifts.
Dual-kernel system creates a visual envelope between trend estimates.
Color gradient dynamically represents prediction strength and market conviction.
Crossovers provide additional confirmation without cluttering your chart.
Professional visualization that rivals institutional-grade analysis tools.
✨ Massively Expanded Dimensionality: 10 Custom Sources, 5 Built-In Sources
Transform the indicator from 5 built-in standard to 15 total total features—triple the analytical power.
Integrate ANY TradingView indicator as a machine learning feature.
Built-in normalization ensures all indicators contribute equally regardless of scale.
Create theme-based systems: pure volume analysis, multi-timeframe momentum, or hybrid approaches.
📊 Tiered Mean Reversion Signals with Scalping Alerts
Regular (🔄) and Strong (⬇️/⬆️) mean reversion signals based on statistical extremes.
Opportunities often arise before candle close—perfect for scalping entries.
Visual markers appear at high-probability reversal zones.
Four specialized alert types: upward/downward for both regular and strong reversals.
Pre-optimized probability thresholds, no fine-tuning required.
📅 Daily Kernel Trend Filter
Instantly cleans up noisy intraday charts by aligning with higher timeframe trends.
Swing traders report immediate signal quality improvement.
Automatically deactivates on daily+ timeframes (intelligent context awareness).
Reduces counter-trend signals by up to 60% on lower timeframes.
Simple toggle—no complex multi-timeframe setup required.
📋 Professional Backtesting Stream (-6 to +6)
Multiple distinct signal types (including pullbacks, mean reversions, and kernel deviations) vs. basic binary (buy/sell) output for nuanced analysis.
Enables detailed walk-forward analysis and ML model training.
Compatible with external backtesting frameworks via numeric stream.
Rare precision for TradingView indicators—usually only found in institutional tools.
Perfect for quants building sophisticated strategy layers.
⚡ Performance Optimizations
Faster distance calculations through algorithmic improvements.
Reduced indicator load time (measured via Pine Profiler).
Handles 15 active features without timeouts—critical for multi-chart setups.
Optimized for live auto-trading bots requiring minimal latency.
🎨 Full Visual Customization & Accessibility
Complete color control for all visual elements.
Colorblind-safe default palette with customization options.
Dark mode optimization for extended trading sessions.
Professional appearance matching your trading workspace.
Accessibility features meeting modern UI standards.
🛠️ Advanced Training Modes
Downsampling mode for training on diverse market conditions; Down-sampling and remote-fractals for exotic pattern discovery.
Remote fractals option extends analysis to deep historical patterns.
Reset factor control for fine-tuning neighbor diversity; Reset-factor tuning to control neighbor diversity.
Appeals to systematic traders exploring exotic data approaches.
Prevents temporal clustering bias in model training.
█ HOW TO USE
Understanding the Approach (Core Concept):
Lorentzian Classification uses a k-Nearest Neighbors (k-NN) algorithm. It searches for historical price action "neighborhoods" similar to the current market state. Instead of a simple straight-line (Euclidean) distance, it primarily uses a Lorentzian distance metric, which can account for market "warping" or distortions often seen during high volatility or significant events. Each historical neighbor "votes" on what happened next in its context, and these votes aggregate into a classification score for the current bar.
Interpreting Bar Scores & Signals (Interpreting the Chart):
Bar Prediction Values: Numbers over each candle (e.g., ranging from -8 to +8 if Neighbors Count is 8) represent the aggregated vote from the nearest neighbors. Strong positive scores (e.g., +7, +8) indicate a strong bullish consensus among historical analogs. Strong negative scores (e.g., -7, -8) indicate a strong bearish consensus. Scores near zero suggest neutrality or conflicting signals from neighbors. The intensity of bar colors (if Use Confidence Gradient is on) often reflects these scores.
Main Arrows (Main Buy/Sell Labels): Large ▲/▼ labels are the primary entry signals generated when the overall classification (after filters) is bullish or bearish.
Pullback Triangles: Small green/red ▲/▼ identify potential trend continuation entries. These signals often appear after an initial price move and a subsequent minor retracement, suggesting the trend might resume. This is based on recognizing patterns where a brief counter-movement is followed by a continued advance in the initial trend direction.
Mean-Reversion Symbols: 🔄 (Regular Reversion) appears when price has crossed the average band of the Dynamic Kernel Regression Envelope. ⬇️/⬆️ (Strong Reversion) means price has crossed the far band of the envelope, indicating a more extreme deviation and potentially a stronger reversion opportunity.
Custom Mean Reversion Deviation Markers (Deviation Dots): If Enable Custom Mean Reversion Alerts is on, these dots appear when price deviates from the main kernel regression line by a user-defined ATR multiple, signaling a custom-defined reversion opportunity.
Kernel Regression Lines & Envelope: The Main Kernel Estimate (thicker line) is an adaptive moving average that smooths price and helps identify trend direction. Its color indicates the current trend bias. The Envelope (outer bands and a midline) creates a channel around price, and its interaction with price generates mean reversion signals.
Key Input Groups & Their Purpose:
🔧 GENERAL SETTINGS:
Reduce Price-Time Warping : Toggles the distance metric. When enabled, it reduces the characteristic "warping" effect of the default Lorentzian metric, making the distance calculation more Euclidean in nature. This may be suited for periods exhibiting less pronounced price-time distortions.
Source : Price data for calculations (default: close ).
Neighbors Count : The 'k' in k-NN – number of historical analogs considered.
Max Bars Back : How far back the indicator looks for historical patterns.
Show Exits / Use Dynamic Exits : Controls visibility and logic for exit signals.
Include Full History (Use Remote Fractals) : Allows model to pick "exotic" fractals from deep chart history.
Use Downsampling / Reset Factor : Advanced training parameters affecting neighbor selection.
Show Trade Stats / Use Worst Case Estimates : Displays a real-time performance table (for calibration only).
🎛️ DEFINE CUSTOM SOURCES (OPTIONAL):
Integrate up to 10 external data series (e.g., from other indicators) as features. Each can be optionally normalized. Load the external indicator on your chart first for it to appear in the dropdown.
🧠 FEATURE ENGINEERING:
Configure up to 15 features for the k-NN algorithm. Select type (RSI, WT, CCI, ADX, Custom Sources), parameters, and enable/disable. Start simple (3-5 features) and add complexity gradually. Normalize features with vastly different scales.
🖥️ DISPLAY SETTINGS:
Controls visibility of chart elements: bar colors, prediction values/labels, envelope, etc.
Align Signal with Current Bar : If true, pullback signals appear on the current bar (calculated on closed data). If false (default), they appear on the next bar.
Use ATR Offset : Positions bar prediction values using ATR for visibility.
🧮 FILTERS SETTINGS:
Refine raw classification signals: Volatility, Regime, ADX, EMA/SMA, and Daily Kernel filters.
🌀 KERNEL SETTINGS (Main Kernel):
Adjust parameters for the primary Nadaraya-Watson Kernel Regression line. Lookback Window , Relative Weighting , Regression Level , Lag control sensitivity and smoothness.
✉️ ENVELOPE SETTINGS (for Mean Reversion):
Configure the dynamic Kernel Regression Envelope. ATR Length , Near/Far ATR Factor define band width.
🎨 COLOR SETTINGS (Colors):
Customize colors for all visual elements; override every palette element.
General Approach to Using the Indicator (Suggested Workflow):
Load defaults and observe behavior: Familiarize yourself with the indicator's behavior.
Feature Engineering: Experiment with features, considering momentum, trend, and volatility. Add/replace features gradually.
Apply Filters: Refine signals according to your trading style.
Contextualize: Use kernels and envelope to understand broader trend and potential overbought/oversold areas.
Observe Signals: Pay attention to the interplay of main signals, pullbacks, and mean reversions. Watch interplay of main, pullback & mean-reversion signals.
Calibrate (Not Backtest): Use the "Trade Stats" table for real-time feedback on current settings. This is for calibration, *not a substitute for rigorous backtesting.*
Iterate & refine: Adjust settings, observe outcomes, and refine your approach.
█ ACKNOWLEDGMENTS
This premium version wouldn't exist without the invaluable contributions of:
veryfid for his groundbreaking ideas on unifying pullback detection with Lorentzian Classification, but most of all for always believing in and encouraging me and so many others. For being a mentor and, most importantly, a friend. We all miss you.
RikkiTavi for his help in creating the settings optimization framework and for other invaluable theoretical discussions.
The 1,000+ beta testers worldwide who provided continuous feedback over two years.
The Python porting team who created the foundation for advanced optimization; for the cross-language clone.
The broader TradingView community for making this one of the platform's most popular indicators.
█ FUTURE DEVELOPMENT
The Premium version will continue to evolve based on community feedback. Planned enhancements include:
Specialized exit model trained independently from entry signals (ML-based exit model).
Feature hub with pre-normalized, commonly requested indicators (Pre-normalized feature hub).
Better risk-management options (Enhanced risk-management options).
Fully automated settings optimization (Auto-settings optimization tool).
Script pago
WAVES by WestmontWAVES by Westmont is a trading indicator that combines WaveTrend analysis with VWAP dynamics to provide traders with insights into market momentum , volatility , and trends . Users can rely on this tool to help identify market shifts , potential trend reversals , and momentum changes . The script integrates custom logic with standard public domain functions to enhance signal accuracy and market analysis.
WAVES builds on familiar tools, such as the Exponential Moving Average ( EMA ), Simple Moving Average ( SMA ), and basic fractal analysis , to create a comprehensive view of price behavior. Users can interpret this indicator to gain a clearer picture of market conditions, utilizing both WaveTrend’s trend-following signals and VWAP’s volume-weighted price reference.
How the Components Work Together:
Divergence Functions
WAVES uses the bottom_fractal and bot_fractal functions to detect local highs and lows, helping identify potential reversal points in the market. These functions work alongside the WaveTrend and VWAP analysis to confirm or challenge potential turning points.
WaveTrend Calculation
ESA (Exponential Smoothing Average): Provides a smoothed base for price direction.
DE (Deviation): Measures volatility, indicating how much price is fluctuating.
CI (Commodity Channel Index): Tracks cycles between price and the smoothed ESA, identifying potential price shifts.
These values are smoothed using EMA and SMA for greater stability. Users can rely on these smoothed signals to reduce noise and improve trend clarity.
VWAP Area Calculation
Users can observe the VWAP area , calculated from the difference between two WaveTrend lines ( wavetrend1 and wavetrend2 ), to understand market equilibrium in relation to volume-weighted price action. The VWAP area provides a clearer picture of price movement relative to market volume.
Signal Dots and Visualization
Bullish Signals: Users can look for blue dots when the VWAP area crosses upwards , indicating that price is above the VWAP and suggesting upward momentum .
Bearish Signals: Users can look for purple dots when the VWAP area crosses downwards , indicating that price is below the VWAP and suggesting downward momentum .
Smooth VWAP Gradient Fill
Users can visually track momentum using the smooth gradient fill between the VWAP plot and the center line . The fill color changes from blue ( positive momentum ) to purple ( negative momentum ), and turquoise ( neutral ), helping traders quickly assess market sentiment and trend strength.
How to Use WAVES by Westmont :
Bullish Momentum : Users can look for blue dots when the VWAP area crosses upward . This suggests the market is in an uptrend as price moves above the VWAP , potentially indicating upward price action .
Bearish Momentum : Users can look for purple dots when the VWAP area crosses downward . This suggests the market is in a downtrend as price moves below the VWAP , indicating potential for downward price action .
Neutral Market Conditions : Users can observe when the VWAP area remains near the center line ( turquoise ), indicating market consolidation or indecision .
Code Usage :
The indicator uses TradingView’s built-in functions (EMA, SMA, and fractals), which are well-optimized for standard technical analysis. These functions serve as a foundation for the indicator’s calculations. Users can trust that the public domain functions ensure efficient performance, while the added customizations enhance signal quality by integrating WaveTrend and VWAP dynamics.
ZenAlgo - UltimateThe ZenAlgo - Ultimate Indicator is a premium trading tool that integrates advanced sub-indicators into a single framework, combining volume analysis, divergence detection, and market sentiment visualization. Designed for traders seeking deeper insights, it addresses the limitations of standalone free indicators by delivering a cohesive system that enhances accuracy, adaptability, and decision-making.
Why Multiple Sub-Indicators?
The integration of sub-indicators into one tool provides unique benefits not achievable with individual free indicators:
Improved Accuracy: Combining volume trends, delta volume, and divergence detection creates a multi-dimensional view of market behavior, reducing the chance of false signals.
Synergistic Insights: Free indicators like MAs or divergences work independently, while this tool integrates them into a unified framework that highlights actionable patterns, improving signal reliability.
Actionable Combinations: The tool visually aligns multi-timeframe trends, divergences, and volume states, enabling traders to confirm trades using multiple metrics in one glance, saving time and enhancing precision.
Features
This indicator introduces several customizations and integrations that distinguish it from free alternatives:
Dynamic Volume Classification: It calculates and categorizes volume states into clear signals like "Mega Buy" or "Big Sell," providing instant clarity about unusual activity levels.
Enhanced Delta Volume Analysis: Tracks delta volume trends with adjustable sensitivity, identifying subtle shifts in market pressure that standalone delta indicators might miss.
Customizable Multi-Timeframe Volume Tables: Displays volume and delta metrics across multiple timeframes, offering a holistic view of market activity that helps align short- and long-term strategies.
Real-Time Alerts: Provides instant notifications for confirmed and unconfirmed delta volume crosses, helping users stay ahead of market movements.
Divergence Detection Across Metrics: Identifies regular and hidden bullish or bearish divergences using up, down, and delta volumes, integrating price fractals for added precision.
How It Works
1. Volume and Delta Volume Integration
The indicator calculates and categorizes volume activity into specific states, such as "Mega Buy" or "Big Sell," by comparing the current volume with its 20-period average. For delta volume, it tracks the difference between buying and selling pressure, identifying shifts in market sentiment. These calculations are dynamically updated across multiple timeframes, with delta trends smoothed using user-selected moving averages (e.g., SMA, EMA, WMA, HMA) to highlight sustained market pressure changes.
2. Multi-Timeframe Volume Tables
The tool aggregates and displays volume and delta volume data across various timeframes in a visual table. Each timeframe's data includes total volume, categorized buying and selling volumes, and the net delta volume. Colors within the table provide immediate insights into the prevailing market sentiment for each timeframe, with bullish or bearish conditions emphasized using pre-defined thresholds.
3. Divergence Detection Across Metrics
Divergences are identified using fractal patterns in up volume, down volume, and delta volume. Regular and hidden bullish or bearish divergences are detected by comparing historical volume peaks and troughs with corresponding price movements. This allows the tool to highlight potential reversals or trend continuations before they are visually apparent on the chart.
4. Market State Labels
The indicator synthesizes multiple metrics, such as volume trends, delta volume movements, and histogram direction, to generate actionable market state labels. These labels, such as "Bullish," "Bearish," or "Reversal," offer a high-level summary of current market conditions, helping traders quickly adapt their strategies.
5. Real-Time Alerts
To ensure traders stay informed, the tool includes alerts for confirmed and unconfirmed delta volume crosses. These alerts consider not only the delta volume's movement relative to its average but also whether the broader buying or selling pressure supports the signal, enhancing the reliability of the alerts.
Specific Scenarios Where This Indicator Excels
Trend Confirmation: Align rising delta volume with bullish divergences across timeframes for high-confidence entries.
Reversal Identification: Use divergence labels to anticipate trend reversals before they occur.
Market Sentiment Analysis: Dynamic candle coloring helps visualize whether the market is dominated by bullish or bearish forces.
Volume Breakout Detection: Track spikes in cumulative volume and delta volume to identify breakouts with higher accuracy.
When to Be Cautious
Low-Volume Markets: In thinly traded markets, signals like divergences or delta volume shifts may produce noise due to insufficient data.
Highly Volatile Conditions: Sudden volume spikes can result in false positives for breakouts or reversals.
Session Overlaps or Data Misalignment: Variations in session timings or data discrepancies can temporarily impact cumulative volume metrics.
Overfitting Sensitivity Settings: Excessively high sensitivity settings may overfit the indicator to specific market conditions, leading to unreliable signals in broader contexts.
Why Pay for This Indicator?
This tool stands out because it doesn’t merely replicate free indicators; it integrates and enhances them into a uniquely actionable framework:
Tailored for Precision: Adjustable parameters for sensitivity, divergence detection, and timeframe analysis allow traders to adapt the indicator to their strategies.
Time-Saving Synergy: Combines the functionality of multiple tools into a single interface, eliminating the need to juggle multiple scripts.
Comprehensive Insights: Delivers a broader perspective by linking volume trends, delta volume, and divergences, ensuring more informed decisions.
Real-Time Notifications: Alerts for key events ensure you never miss a critical market movement.
Usage Examples
Volume State Monitoring: Instantly identify states like "Big Buy" or "Mega Sell" to act on significant volume surges.
Multi-Timeframe Alignment: Combine bullish divergences on a 15-minute chart with a rising daily delta volume trend for high-probability trades.
Scalping Opportunities: Use delta volume crosses and short-term trends for quick entries and exits.
Breakout Validation: Confirm volume breakouts with delta volume spikes to avoid false signals.
Settings
Volume MA Length: Adjusts the moving average period for volume trends.
Divergence Sensitivity: Fine-tunes the thresholds for divergence detection to suit different market conditions.
Multi-Timeframe Visibility: Customizes the number of timeframes displayed in the cumulative volume table.
Conclusion
The Ultimate Indicator is more than a collection of sub-indicators—it’s a fully integrated system designed to address the limitations of standalone tools. By offering deeper insights into volume trends, market sentiment, and divergence analysis, it empowers traders to make better-informed decisions with enhanced confidence.
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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SMM - Smart Money IndicatorHello Traders,
SMM – Smart Money Indicator is a Smart Money Concepts indicator that is meant to make your trading a bit easier and take the guess work away. Our mission is to save your time with already marking up the chart for you (all automatic). This indicator will help you spot the point of interests a.k.a. Order Blocks, Supply and Demand zones and Fair Value Gaps. Our mission is to create the best Smart Money Concepts indicator on the market. For that we would like to receive your guy’s feedback on it.
Smart Money refers to the capital that institutional investors, central banks, and other professionals or financial institutions control. Market Structure is the foundation of price action trading, understanding price action is fundamental to SMC .
Market Structure based of fractals – We are using fractal-based market structure since it’s way stronger than for example an Eliot wave. So, we only get the clearest break of structure (BoS- Trend continuation) and Change of Character (CHoCH- Possible change of trend)
Features
- Changing the break type to either only the body or body and the wick
- Period of looking back to determine structure (combined with the supply and demand zones)
Multiple Time frame Supply and Demand – Displayed typically as the last up/down candle before a big move in the opposite direction. Great zones to entry from on the lower time frame, also you can target previous demand/supply zones as potential take profit areas.
Features
- Multiple time frame
- Changing the amount of candles to calculate the zones.
- Option to remove mitigated zones / change color
- Extending the HTF Box to current time. (If not mitigated)
Order Blocks – What we use for our lower time frame zones to enter from. It’s basically the same as supply and demand but then on a lower time frame. Most likely once prices come into your higher time frame Supply and Demand zones, we would scale down to the lower time frames and then wait for our pattern to entry.
Features
- Extending the LTF Box to current time. (If not mitigated)
- Options to remove mitigated zones / change color
Fair Value Gaps - Is also known as an imbalance. An FVG is an imbalance of orders for instance, for sellers to complete their trades, there must be buyers and vice versa so when a market receives to many of one kind of order buys or sells, and not enough of the order’s counterpart. When the amount is not balanced and to many orders are put in for one direction, it creates an imbalance where price likes to get back too. We have 2 different options that shows you all the imbalances but also one that only shows the structure breaking imbalances which we see as the most important one.
Features
- Plotting all Fair Value Gaps
- Plotting only structure breaking Fair Value Gaps
Previous Day High and Low – Will mark up the previous day high and low what could indicate that if price breaks out of the previous day high that it will most likely trend upwards. If it breaks below, it will most likely trend down for the upcoming time.
- Showing only the recent previous day high and low
- Showing all the previous high and lows
- Show nothing
Alerts – We’ve made possible that you can also choose to receive an alert on your device once price comes in to one of the supply and demand zones. (Must place the alerts function into your alert management tab on trading view) Only works if you add the alert on when you are on the same time frame as your supply and demand zones.
You can also choose to receive alerts when a supply or demand zone has been created.
OS AlligatorOS Alligator includes Bill and Justine Williams´ indicators explained both in their "New Trading Dimensions" and "Trading Chaos: Second Edition" books. This script replicates the visual alerts shown on their graphs.
OS Alligator includes:
- Fractals (with labels for easy reading)
- Divergent Bars (signaled by top and bottom triangles)
- Zone bar colors (the bar is green when both AO and AC are green, red when both are red, and black when different)
- Zone buys and sells (subsequent AO of the same color), with letter Z
- Saucer buys and sells, with letter S
- Highest High and Lowest Low tracking (for traling stop setting)
- Balance line (Teeth) crossover alerts
and of course the Alligator's Mouth (Lips, Teeth, Jaw) with SMMA.
All these functions are customizable both in periods and in color. For example if you want to modify the Fractal or HiLo periods you can do so.
You can also add alerts based on any or all indicators.
Thank you for reading. Any comments for improvement are welcome.
-ownsov
