TASC 2024.08 Volume Confirmation For A Trend System█ OVERVIEW
This script demonstrates the use of volume data to validate price movements based on the techniques Buff Pelz Dormeier discusses in his "Volume Confirmation For A Trend System" article from the August 2024 edition of TASC's Traders' Tips . It presents a trend-following system implementation that utilizes a combination of three indicators: the Average Directional Index (ADX), the Trend Thrust Indicator (TTI), and the Volume Price Confirmation Indicator (VPCI).
█ CONCEPTS
In his article, Buff Pelz Dormeier recounts his search for an optimal trend-following strategy enhanced with volume data, starting with a simple system combining the ADX , MACD , and OBV indicators. Even in these early tests, the author observed that the volume confirmation from OBV notably improved trading performance. Subsequently, the author replaced OBV with his VPCI, which considers the proportional weights of volume and price, to enhance the validation of trend momentum. Lastly, the author explored the inclusion of his TTI, a modified MACD that features volume-based enhancements, as a strategy component for improved trend-following performance.
According to the author's research, the ADX+TTI+VPCI system outperformed similar strategies he tested in the article, yielding significantly higher returns and enhanced perceived reliability. Because the system's design revolves around catching pronounced trends, it performs best with a portfolio of individual stocks. The author applies the system in the article by allocating 5% of the equity to long positions in S&P 500 components that meet the ADX+TTI+VPCI entry criteria (see the Calculations section below for details). He uses the proceeds from closing positions to enter new positions in other stocks meeting the screening criteria, holding any excess proceeds in cash.
█ CALCULATIONS
The TTI is similar to the MACD. Its calculation entails the following steps:
Calculate fast (short-term) and slow (long-term) volume-weighted moving averages (VWMAs).
Compute the volume multiple (VM) as the square of the ratio of the fast VWMA to the slow VWMA.
Adjust these averages by multiplying the fast VWMA by the VM and dividing the slow VWMA by the VM.
Calculate the difference between the adjusted VWMAs to determine the TTI value, and take the average of that series to determine the signal line value.
The VPCI utilizes differences and ratios between VWMAs and corresponding simple moving averages (SMAs) to provide an alternative volume-price confirmation tool. Its calculation is as follows:
Subtract the slow SMA from the VWMA of the same length to calculate the volume-price confirmation/contradiction (VPC) value.
Divide the fast VWMA by the corresponding fast SMA to determine the volume-price ratio (VPR).
Divide the short-term VWMA by the long-term VWMA to calculate the VM.
Compute the VPCI as the product of the VPC, VPR, and VM values.
The long entry criteria of the ADX+TTI+VPCI system are as follows:
The ADX is above 30.
The TTI crosses above its signal line.
The VPCI is above 0, confirming the trend.
Signals to close positions occur when the VPCI is below 0, indicating a contradiction .
NOTE: Unlike in the article, this script applies the ADX+TTI+VPCI system to one stock at a time , not a portfolio of S&P 500 constituents.
█ DISCLAIMER
This strategy script educates users on the trading system outlined by the TASC article. By default, it uses 10% of equity as the order size and a slippage amount of 5 ticks. Traders should adjust these settings and the commission amount when using this script.
Cari dalam skrip untuk "adx"
Swing Crossings - TradingEDThis case study is based on different previous studies: ADX Performance , MACD Performance & RSI Performance, with different counts to compare different oscillations of each indicator. Actually, this indicator is complementary to those previously mentioned. The use of this indicator is restricted to private use, and it can be used only by invitation. Different functionalities have been added to the original codes, such as alerts and signals that seek to make trading much easier to interpret by any type of trading operator of any experience level, from beginner to intermediate and advanced .
Key components of the original ADX indicator:
• The DIRECTIONAL MOVEMENT INDEX (DMI) is a technical indicator that measures both the strength and direction of a price movement and is intended to reduce false signals.
• The DMI uses two standard indicators, one negative ( -DI ) and one positive ( +DI ), in conjunction with a third, the AVERAGE DIRECTIONAL INDEX ( ADX ), which is non-directional but shows momentum.
• The larger the spread between the two primary lines, the stronger the price trend. If +DI is way above -DI the price trend is strongly up. If -DI is way above +DI then the price trend is strongly down.
• ADX measures the strength of the trend, either up or down; a reading above 20 indicates a strong trend.
ADX is plotted as a single line with values ranging from a low of zero to a high of 100. ADX is non-directional; it registers trend strength whether price is trending up or down. The indicator is usually plotted in the same window as the two DMI lines, from which ADX is derived. When +DI is above -DI , there is more upward pressure than downward pressure in the price. Conversely, if -DI is above +DI , then there is more downward pressure on the price. This indicator may help traders assess the trend direction. Crossovers between the lines are also sometimes used as trade signals to buy or sell, theay are the main trade signals. A long trade is taken when the +DI crosses above the -DI and an uptrend could be underway. Meanwhile, a sell signal occurs when the +DI instead crosses below the -DI .
Key components of the original RSI indicator:
● The Relative Strength Index ( RSI ) is a popular momentum oscillator developed in 1978.
● The RSI provides technical traders signals about bullish and bearish price momentum, and it is often plotted beneath the graph of an asset's price.
● An asset is usually considered overbought when the RSI is above 70% and oversold when it is below 30%.
It is a momentum indicator used in technical analysis that measures the magnitude of recent price changes to assess overbought or oversold conditions in the price of an asset. The RSI is displayed as an oscillator (a line chart moving between two extremes) and can read from 0 to 100. Overbought does not necessarily mean that the price will reverse lower, just as oversold does not mean that the price will reverse higher. Rather, the overbought and oversold conditions simply alert traders that the RSI is near the extremes of its recent readings.
Key components of the original MACD indicator:
● The Moving Average Convergence Divergence ( MACD ) is calculated by subtracting a long period (26) Exponential Moving Average ( EMA ) from a short (12) period EMA .
● MACD triggers technical signals when it crosses above (to buy) or below (to sell) its signal line.
● The speed of crossovers is also taken as a signal of a market is overbought or oversold.
● MACD helps traders to understand whether the bullish or bearish movement in the price is strengthening or weakening.
It is a momentum indicator that follows the trend and shows the relationship between two moving averages of the price of a security. It can function as a trigger for buy and sell signals, when you cross above (to buy) or below (to sell) your signal line. It helps to understand if the movement is bullish or bearish , if it is getting stronger or weaker. The further the MACD is above or below its baseline, it indicates that the distance between the two EMAs will be growing, often shown with a histogram that graphically represents the distance between the MACD and its signal line, and It is used to identify when the bullish or bearish momentum.
Main functions of this modified indicator:
1) The SOURCE for the counts can be determined by the trader (close, open, etc).
2) In some cases, you can select the type of MOVING AVERAGE, among many available options ( SMA , EMA , DEMA , HMA , etc.)
3) The MEASURE can be based on a CANDLES count if you are trading OHLC Charts from 1D onwards, or if your trading is intraday, you can also select counts by MINUTES, HOURS or DAYS, depending on your trading style.
4) LENGTH, by default it will be loaded as in the STRATEGY, but considering the previous point, you can modify it according to your convenience.
5) You have the option to hide or show a LABEL at the top of the chart, with respect to the signals: BULLISH green, BEARISH red. *
6) You have the option to hide or show INDICATORS or SIGNALS based on EACH OSCILLATION.
Main performance functions of this modified indicator:
I) In the case of the PERFORMANCE that appears at the right of the chart, you have the option to adjust the WIDTH of each box.
II) The TEXT of the PERFORMANCE is not modifiable, but you can customize the default color. *
III) The BACKGROUND of the PERFORMANCE, you can customize the default color. *
IV) You have the option to hide or show a PERFORMANCE that appears at the right of the chart.
Main functions to customize the style of this indicator:
a) For any type of SIGNAL, it is painted as a VERTICAL LINE in the graph, you can change the color that comes by default. *
b) In the case of the LABELS that appear at the top, the text is not modifiable, but you can customize both the type of label and change the default color. *
c) When you have a SHORT SIGNAL or a LONG SIGNAL, you can change the EMOTICON that comes by default. **
* By default, they are marked as red for downtrends and green for uptrends.
** By default, they are marked with an emoticon indicating the possible direction of the price, down if it is bearish or up if it is bullish .
StableF-MainIt is combination of Built in Super trend and Adx with take profit
uptrend is considered when +dmi is above -dmi and +dmi is above 25 and adx is above 25 and supertrend gives Buy
downtrend is considered when -dmi is above +dmi and -dmi is above 25 and adx is above 25 and supertrend give sell
use fibo for target by taking as previous swing high and swing low
-supertrend crossover is referred as buy plotshape
-supertrend cross under is referred as Sell plotshape
-keep stoploss at dot line of supertrend
-adx-dmi crossover (+dmi crossed above -dmi) is shown by Triangle Up symbol
-adx-dmi crossunder( -dmi crosses below +dmi) is shown by Triangle down symbol
--Cross symbol with blue line with linewidth 2 is referred as Take profit
--combine this with adx -dmi setting with 7 and 14
----disclaimer-----
used free built in supertrend and adx so u can use same setting in other broker or in trading view
not responsible for any loss or gain
-only for educational purpose
RSI PRO+ [APIDEVS]TRADITIONAL RSI
The RSI (Relative Strength Index) is an oscillator-type indicator used by traders who perform technical analysis to estimate the status of overbought or oversold of an asset on the stock market.
This tool gives the trader the advantage of comparing supply and demand (buying and selling), therefore, we must take into account the following interpretation for its use.
If the buy and sell index are equal, the indicator takes a percentage value of 50, which indicates that the relative forces are in equity.
As its value is over 50%, it indicates that the buyer interest is higher than the seller.
When it is less than 50%, then we must know that the selling force is greater.
It also indicates that when the RSI is above 70 on the oscillator, the price is oversold, therefore, it should exit the market.
Similarly, when the RSI is below 30, the asset is oversold, so it is considered convenient to buy.
NEW RSI PRO +
The main improvement lies in the incorporation of a script that allows to visually observe the force of the movement and that this reinforces the perception of the RSI trajectory. It is for this reason that we incorporate the Average Directional Index (ADX) in this indicator so that through its logic it can provide other visual elements to help traders.
In this merger we try to maintain the original design of the RSI in order to make a clean integration that does not confuse traders with another indicator.
Improvements made:
• The coloration resulting from the crossing of the DI + and DI- of the ADX was incorporated into the line that marks point 50 of this indicator.
o When the Di + is above the DI- the trend is bullish therefore the middle line of the RSI will be painted green.
o When the Di- is above the DI + the trend is bearish therefore the middle line of the RSI will be painted green.
• Se incorporó un background de color verde para la tendencia alcista y rojo para la tendencia bajista, que se activa exclusivamente cuando el precio adquiere una fuerte tendencia. Esta característica altamente importante para la interpretación de esta nueva versión del indicador fue absorbida del ADX.
• Se añadió una función que permite evidenciar la debilidad del RSI cambiando su coloración de verde a rojo según sea el caso.
• Pensando en los usuarios más tradicionales, se incorporó una función que permite pintar el RSI de un solo color.
• Se incorporó un selector de colores que permite pintar las velas en función al ADX ó al RSI.
• Se añadió un panel lateral que indica el valor numérico que posee el ADX y el RSI.
• Como una mejora visual, se creó una banda superior e inferior que evidencian de forma mas clara el estado de sobre venta y sobre compra del oscilador.
---------------------------------- SPANISH -----------------------------------
Lógica basada en la versión original del indicador:
El RSI (Relative Strength Index), Es un indicador de tipo oscilador utilizado por los traders que realizan análisis técnicos, para estimar el estado de sobre compra o sobre venta de un activo del mercado bursátil.
Esta herramienta da al trader la ventaja de cotejar la oferta y demanda (compra y venta), por tanto, debemos tomar en cuenta la siguiente interpretación para su uso.
Si el índice de compra y venta son iguales, el indicador toma un valor porcentual de 50, lo que nos indica que las fuerzas relativas se encuentran en equidad.
Al estar su valor sobre 50%, señala que el interés comprador es mayor al vendedor.
Cuando es inferior a 50%, entonces debemos saber que la fuerza vendedora es mayor.
También indica que cuando el RSI está por encima de 70 en el oscilador, el precio esta en sobre venta, por lo tanto, se debería salir del mercado.
DE igual forma, cuando el RSI esta por debajo de 30 el activo esta sobre vendido, por lo que se estima conveniente comprar.
FOTO DEL NUEVO RSI PRO+
La mejora principal radica en la incorporación de un script que permita observar visualmente la fuerza del movimiento y que esta refuerce la percepción de la trayectoria del RSI. Es por esta razón por la que incorporamos en este indicador al Average Directional Index (ADX) para que a través de su lógica pueda proporcionar otros elementos visuales para ayudar a los traders.
En esta fusión procuramos mantener el diseño original del RSI a los fines de hacer una integración limpia que no confundiera a los traders con otro indicador.
Mejoras realizadas:
• Se incorporó en la línea que marca el punto 50 de este indicador la coloración resultante del cruce del DI+ y el DI- del ADX.
o Cuando el Di+ está por encima del DI- la tendencia es alcista por lo tanto la línea media del RSI se pintará de color verde.
o Cuando el Di- está por encima del DI+ la tendencia es bajista por lo tanto la línea media del RSI se pintará de color verde.
• Se incorporó un background de color verde para la tendencia alcista y rojo para la tendencia bajista, que se activa exclusivamente cuando el precio adquiere una fuerte tendencia. Esta característica altamente importante para la interpretación de esta nueva versión del indicador fue absorbida del ADX.
• Se añadió una función que permite evidenciar la debilidad del RSI cambiando su coloración de verde a rojo según sea el caso.
• Pensando en los usuarios más tradicionales, se incorporó una función que permite pintar el RSI de un solo color.
• Se incorporó un selector de colores que permite pintar las velas en función al ADX ó al RSI.
• Se añadió un panel lateral que indica el valor numérico que posee el ADX y el RSI.
• Como una mejora visual, se creó una banda superior e inferior que evidencian de forma mas clara el estado de sobre venta y sobre compra del oscilador.
Strength Momentum IndicatorThis indicator is a fork of . It takes it a step further by including RSI and ADX information, which are represented in this indicator as follows:
MOM: The histogram itself is a linear regression curve, by default for the study period the Fibonacci series and exponential moving average were used. You can adjust the settings to your liking.
RSI: Whenever the RSI is outside the normal ranges (which you can adjust in the settings), the bar in the histogram will turn amber to warn you.
ADX: Crosses are drawn along the 0 line to indicate the ADX . Blue means that the ADX is below the trend level (adjustable in the settings), and orange means that it is above that level. Darker colors indicate that the ADX has risen from the previous bar, while lighter colors indicate that it has fallen.
Almost all of the normally adjustable values can be adjusted in the settings for each of the base indicators. Also adjustable:
The RSI alert levels (30 and 70 by default).
The ADX crossover, i.e. the point at which the ADX value is considered to indicate a strong trend (25 by default).
All colors, naturally.
DMI Swings (by Coinrule)The Directional Movement Index is a handy indicator that helps catch the direction in which the price of an asset is moving. It compares the prior highs and lows to draw three lines:
Positive directional line (+DI)
Negative directional line (-DI)
Average direction index (ADX)
DMI is simple to interpret. When +DI > - DI, it means the price is trending up. On the other hand, when -DI > +DI, the trend is weak or moving on the downside.
The ADX does not give an indication about the direction but about the strength of the trend.
Typically values of ADX above 25 mean that the trend is steeply moving up or down, based on the -DI and +D positioning. This script aims to capture swings in the DMI, and thus, in the trend of the asset, using a contrarian approach.
ENTRY
-DI is greater than +DI
ADX is greater than 45
EXIT
+DI is greater than -DI
ADX is greater than 45
Trading on high values of ADX, the strategy tries to spot extremely oversold and overbought conditions. Values of ADX above 45 may suggest that the trend has overextended and is may be about to reverse.
Our backtests suggest that this script performs well for very short-term scalping strategies on low time frames, such as the 1-minute.
The script considers a 0.1% trading fee to make results more realistic to those you can expect from live market conditions. So realistically, live results should be similar to backtested results.
You can plug this script directly into your crypto exchange using TradingView Signals on Coinrule.
Trade Safely!
LB Squeeze Momentum DivergencesThis study tries to highlight LazyBear Squeeze Momentum divergences
as they are defined by
TradingLatino TradingView user
Squeeze momentum green peaks are connected by a line
Associated prices to these green peaks are also connected
If both lines have a different slope orientation
then there is a divergence.
It only shows two last divergence lines and angles.
The original chart screenshot shows some divergence lines
on the top or main chart
these were drawn manually
because you cannot write to two different charts
from the same pine script study (Well, not in August 2020 anyways)
It's aimed at BTCUSDT pair and 4h timeframe.
HOW IT WORKS
Simple geometric mathematics are used
to calculate the two lines degrees
Then both degrees are compared
to show if both lines agree ( // or \\ )
or if they disagree ( /\ or \/ )
SETTINGS
(SQZDiver) Show degrees : Show degrees of each Squeeze Momentum Divergence
lines to the x-axis.
(SQZDiver) Show desviation labels : Whether to show
or not desviation labels for the Squeeze Momentum Divergences.
(SQZDiver) Show desviation lines : Whether to show
or not desviation lines for the Squeeze Momentum Divergences.
(ADX) Smoothing
(ADX) DI Length
(ADX) key level
(ADX) Print : Whether to show
or not scaled ADX line
(SQZMOM) BB Length
(SQZMOM) BB MultFactor
(SQZMOM) KC Length
(SQZMOM) KC MultFactor
(SQZMOM) Use TrueRange (KC)
(SQZMOM) Print : Whether to show
or not Squeeze Momentum indicator.
WARNING
Some securities and timeframes might output degrees
too next to zero.
The code might need to be tweaked to meet your needs.
USAGE
One strategy is to sell when you are in a long entry
when you find out that the price slope is upwards ( / )
while the lb smilb slope is downwards: ( \ )
E.g. You will see:
/
\
on the indicator.
Why?
Because it might signal you that the price is
going to correct downwards soon.
FEEDBACK 1
Please let me know if there is any
other strategy based on the red side of
LB Squeeze Momentum
so that I might add support for it in the future.
FEEDBACK 2
Calculating degrees in a chart
with a different x-axis scale
is a nightmare
that's why I did not a range settings
so that values next to zero are
converted into zero
and thus showing an horizontal line.
Feedback is welcome on this matter.
EXTRA 1
If you turn off showing the divergence lines
and if you turn off showing the divergence labels
you almost get what TradingLatino user uses
as its default momentum indicator.
EXTRA 2
Optionally this indicator can show you
a rescaled ADX (it only works properly on 2020 Bitcoin charts)
ABOUT COLOURS
TradingLatino user has both dark green and light green
inverted compared to this LB SQZMOM chart.
CREDITS
I have reused and adapted some code from
'Squeeze Momentum Indicator' study
which it's from TradingView LazyBear user.
I have reused and adapted some code from
'Directional Movement Index + ADX & Keylevel Support' study
which it's from TradingView console user.
Price Action Trading System v0.3 by JustUncleL with modifcationsThe base of this script is the Price Action Trading System from JustUncle .
I have first combined it with script ADX and DI by BeikabuOyaji to indicate when the +DI is above the -DI and the ADX is above 20. This is represented by crosses at the top of the page: green indicating that the +DI is above the -DI and ADX above 20, and red if -DI is above the +DI and ADX above 20. If the ADX is increasing in slope while the +DI is above the -DI, an up green arrow is shown at the bottom of the page, indicating an increase in this trend, and the slope of the ADX is increasing and the -DI is above the +DI, a down arrow is shown at the bottom. One could think to a green cross with a green up arrow as a potential buy opportunity, and a red cross with a red down arrow as a potential sell opportunity.
Next, I have combined this script with the Indicator: WaveTrend Oscillator from Lazybear . If the oscillator has readings below -45 and the slope of the line is increasing, a green diamond appears above the chart. This indicates a potential buy opportunity. If the oscillator has readings above 50 and the slope of the line is decreasing, a red diamond appears above the chart. This indicates a potential sell opportunity. Now if the slope of the oscillator is rising significantly but does not hit the -45 threshold to start its increase, but is negative in value, a green flag appears at the top of the page. This represents a potential buy opportunity. If the slope of the oscillator is significantly decreasing and is positive in value, a red flag appears at the bottom of the page. This represents a potential sell opportunity.
The base of this script, the Price Action Trading System v0.3 by JustUncle , has many of its own features that I have kept. If the MACD is positive, the background colour is green. If it is negative, the colour is red. If the CCI and RSI indicate an oversold opportunity and the MACD is positive, you get an up olive arrow below the chart. If they indicate an overbought opportunity and the MACD is negative, you get a red down arrow above the chart. If the CCI value stays oversold after a green arrow, the candle chart turns turquoise, and if overbought, turns black after a red arrow.
You can use these indicators in combination to help you with your trading strategy.
MARAL Execution WorkflowOverview
MARAL Execution Workflow is a discretionary execution decision-support indicator designed to organize market context into a consistent workflow. It is not an automated trading system, does not place orders, and does not predict outcomes.
Meaning of MARAL: Market Alignment + Risk Awareness + Logic-based execution gating — a structured workflow framework designed to improve clarity and consistency in discretionary execution.
This tool supports discretionary decision-making across three stages: Context → Qualification → Management.
It extends analysis beyond entry by supporting post-entry decisions such as: Should I stay? Should I reduce risk? Should I exit? Or should I wait? These are decision-support questions, not predictions.
Key Features
9-Layer Framework + 3 Boards + EDC
The script uses a 9-layer framework coordinated by a centralized decision-state layer (EDC). Each layer has a defined role:
1. Directional Context (Trend/Bias Layer) — establishes a directional preference using configurable bias filters.
2. Higher-Timeframe Context (HTF Layer) — anchors execution to broader context when enabled.
3. Structure Mapping (Swing/Structure Layer) — identifies structural behavior (highs/lows) to frame decision areas.
4. Location / Proximity Awareness (Obstacle Layer) — evaluates proximity to likely reaction areas for risk awareness.
5. Momentum Quality (Momentum Layer) — distinguishes healthier follow-through vs weakening/choppy conditions.
6. Volatility / Stability Regime (VOL/REGIMI) evaluates volatility using ATR% thresholds and regime support using ADX.
7. Pre-Entry Qualification (Checklist Layer) — confirms whether minimum execution conditions are satisfied before entry.
8. Post-Entry Management Context (Management Layer) — monitors changing conditions after a setup for discretionary management.
9. Liquidity Context (Liquidity Layer) — integrates liquidity-based location context using PDH/PDL proximity, sweep/reclaim behavior, and lookback extreme breaks. When enabled, the script may also plot liquidity reference points for visual mapping.
Liquidity Regime States (Panel Output)
The Liquidity Layer displays a 3-state liquidity regime used for execution risk awareness:
• HIGH — a liquidity event is detected (e.g., sweep/reclaim or lookback extreme break).
• NEUTRAL — no event, but liquidity is nearby (proximity to PDH/PDL within a defined threshold).
• LOW — no event and no nearby liquidity pressure detected.
These are context/risk states used for discretionary gating — not buy/sell signals and not outcome predictions.
Boards
• Context Board — summarizes direction, HTF context, structure, momentum, volatility (ATR%), trend regime (ADX), scores, and liquidity context.
• Qualification Gate — rule-based checklist view to confirm minimum execution conditions before entry.
• Management Desk — post-setup view to monitor risk changes, obstacle proximity, deterioration cues, and management states.
EDC — Execution Decision Core
EDC consolidates outputs from the framework into unified workflow states. It applies rule-based gating to reduce conflict when conditions are mixed.
EDC Unified Output States (Decision-Support Only):
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK / —
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT / —
— may appear when a state is not applicable (e.g., no active management window is being tracked).
Panels & Labels (Exact On-Chart Meanings)
1) Context Board (Market Environment Snapshot)
• DIRECTION → Bullish / Bearish / Neutral
• H1 CONTEXT / H4 CONTEXT / DAILY CONTEXT → HTF bias states (when enabled). If HTF is disabled, shows OFF.
• STRUCTURE → Bull Struct / Bear Struct / Neutral Struct
• MOMENTUM → BULL / BEAR / NEUTRAL
• VOLATILITY (ATR%) → ATR as a percentage of price (volatility context)
• TREND STRENGTH → ADX context value
• LONG SCORE / SHORT SCORE → internal workflow alignment scores (0–100) with grade: A++ / A+ / A / B / No-Trade
• ALIGNMENT SCORE → combined alignment score used for gating
• LIQUIDITY CONTEXT → HIGH / NEUTRAL / LOW
Important: Scores are internal workflow scoring for filtering/alignment. They are not performance statistics and do not imply guaranteed probability or outcomes.
2) Qualification Gate (Pre-Entry Checklist)
Gate Legend: OK = passes filter, WARN = mixed/caution, BAD = fails filter (execution gated).
• SETUP → WAIT / LONG / SHORT
• HTF CONTEXT → OK / WARN / BAD / —
• STRUCTURE → OK / WARN / BAD / —
• MOMENTUM → OK / WARN / BAD / —
• VOL/REGIME → OK / WARN / BAD / — (Volatility + regime filter; not volume)
o OK = ATR% within thresholds AND ADX meets regime requirement
o WARN = ATR% within thresholds but regime is mixed (ADX below threshold)
o BAD = ATR% outside thresholds
• LIQUIDITY → HIGH / NEUTRAL / LOW
• ALIGNMENT → shows score vs required minimum threshold
• ENTRY PERMISSION → ENTER / WAIT / SKIP
Purpose: reduce forced entries by requiring minimum execution quality.
3) Management Desk (Post-Setup Decision Support)
The Management Desk operates inside an Active Window measured in bars after the last setup (configurable by input). When the management window is not active, some fields may show —.
• TRADE STATUS → VALID / RISKY / WEAK / —
— appears when no active trade state is being tracked (not applicable).
• MARKET PHASE → RANGE / IMPULSE / PULLBACK / CONTINUATION
Environment classification used for management context (not prediction).
• OBSTACLE AHEAD → YES / NO
Proximity risk context (e.g., near PDH/PDL or near swing levels under the script’s logic).
• EXIT PRESSURE → LOW / RISING / HIGH
Management pressure context based on deterioration cues (not a signal).
• MOMENTUM HEALTH → STRONG / WEAKENING / WEAK / NEUTRAL
Follow-through quality context used for management.
• SCORE TREND → IMPROVING / DETERIORATING / STABLE
Direction of the internal workflow score trend (not P&L, not performance).
• RISK STATE → OVEREXTENDED / NORMAL
Overextension context based on distance from EMA vs ATR.
• TRADE AGE → FRESH / MID / LATE / —
Workflow age based on bars since last setup. — when not applicable.
• SL MODE → BE OK / TIGHT / NORMAL / —
Stop-management context used for discretionary risk control. — when not applicable.
• ACTION STATE → HOLD / TIGHT SL / SCALE OUT / EXIT / —
o HOLD = maintain the current plan under present conditions
o TIGHT SL = discretionary prompt to reduce risk by tightening protection
o SCALE OUT = discretionary prompt to partially reduce exposure (partial exit / trim size), typically when obstacle proximity risk is detected
o EXIT = discretionary prompt that conditions deteriorated and exit may be considered
o — = not applicable
• ACTIVE WINDOW → ON / OFF
Shows whether the post-setup management window is active (bars after the last setup, per the “Active Window” input). When OFF, management/trade states may show —.
Optional Modules (Toggleable)
To keep the chart clean and workflow-focused, optional modules can be enabled/disabled:
A) PDH/PDL Reference (Optional)
• Plots Previous Day High / Previous Day Low as structured reference points (risk awareness only).
B) ATR-Based Planning Guides (Optional)
• Optional visual guides for SL / TP1 / TP2 / TP3 based on ATR.
• Visual planning references only. Does not place orders and does not guarantee outcomes.
C) Visual Color Layer (Optional)
• Optional state-based candle coloring for readability only.
D) State Markers (Optional)
• Optional state markers (e.g., LONG/SHORT confirmations). These are state confirmations only, not trade recommendations.
Display & Layout Options
• Display Mode: Mobile / Medium / Desktop
• Mobile Minimal View: optional minimal mode (EDC-only)
• Panel Positioning: 9 anchor positions
(Top Left / Top Center / Top Right / Middle Left / Middle Center / Middle Right / Bottom Left / Bottom Center / Bottom Right)
Why This Is Not a “Mashup”
This publication is not intended to bundle multiple classic indicators as independent buy/sell tools. While it uses familiar building blocks (trend/bias filtering, volatility/regime context, structure references, liquidity context), each component has a defined role inside a single execution workflow:
• Context Board → Qualification Gate → Management Desk organizes information into a consistent discretionary process.
• EDC consolidates multi-layer conditions into unified states using rule-based gating to reduce conflict and prioritize risk awareness.
This is a decision-support framework designed to improve clarity and consistency in discretionary execution. It does not place orders and does not provide guaranteed outcomes.
How to Use (Recommended Workflow)
1. Set context: Use the Context Board to determine directional preference, volatility/regime stability, and location context.
2. Qualify execution: Use the Qualification Gate as the filter. If alignment is not sufficient, avoid forcing entries.
3. Execute with location awareness: Avoid late entries into nearby obstacles. Treat proximity as increased risk.
4. Manage post-setup: Use the Management Desk to monitor risk changes. If states deteriorate, follow your plan (reduce risk, protect, or exit).
5. Stay consistent: Works best with position sizing rules and disciplined confirmation.
Screenshots / Visual Reference (What each panel shows)
Screenshot 1 — Full Workflow View (Desktop)
Shows the complete workflow layout on one chart: Context Board, Qualification Gate, Management Desk, and the EDC (Execution Decision Core) summary together.
Screenshot 2 — Context Board
Shows directional context, HTF context (if enabled), structure mapping, momentum quality, volatility/stability regime (ATR + ADX), and liquidity context (HIGH/NEUTRAL/LOW). This board is used to understand “market alignment” before considering execution.
Screenshot 3 — Qualification Gate (Pre-Entry)
Shows the rule-based checklist view used for discretionary pre-entry qualification. It summarizes SETUP (WAIT/LONG/SHORT), key confluence checks, liquidity context, and ENTRY PERMISSION (ENTER/WAIT/SKIP). This is a gating view—meant to prevent forced entries when alignment is insufficient.
Screenshot 4 — Management Desk (Post-Entry)
Shows post-entry condition monitoring within the active window after the last setup. It highlights trade status shifts (VALID/RISKY/WEAK), obstacle proximity, exit pressure, momentum health, score trend, risk state, SL mode, and action guidance context.
Screenshot 5 — EDC Panel (Execution Decision Core) — Centralized State
Shows the unified decision-support outputs consolidated from the workflow layers and boards into one compact view:
• SETUP: WAIT / LONG / SHORT
• ENTRY PERMISSION: ENTER / WAIT / SKIP
• LIQUIDITY: HIGH / NEUTRAL / LOW
• TRADE STATUS: VALID / RISKY / WEAK
• ACTION STATE: HOLD / TIGHT SL / SCALE OUT / EXIT
These are rule-based guidance states for discretionary execution and risk awareness — not automated actions.
Screenshot 6 — Example –Execution context
The screenshot shows MARAL Execution Workflow applied to XAUUSD on the 1-hour timeframe. All three boards and the EDC panel are visible:
• Context Board (top-right) – Confirms a fully aligned bullish environment: direction and all HTF contexts are Bullish, structure is “Bull Struct”, momentum is “BULL”, volatility (ATR%) is within normal bounds, and the long-side alignment score is high while the short-side score is in “No-Trade” territory. Liquidity Context is “LOW”, indicating limited immediate liquidity pressure.
• Qualification Gate (top-center) – For the same bar, the checklist produces a LONG setup with HTF CONTEXT, STRUCTURE, MOMENTUM and VOL/REGIME all marked OK. Liquidity is LOW, and ALIGNMENT shows “93 / 65”, meaning the current long-side score (93) is above the user-defined minimum threshold (65). ENTRY PERMISSION = ENTER, signaling that, within this framework, execution conditions are sufficiently aligned to allow a discretionary long entry according to the trader’s own plan.
• Management Desk (left) – Once a trade is active, the post-entry view monitors evolving risk. In this example the trade status is VALID and MARKET PHASE is CONTINUATION, while RISK STATE highlights OVEREXTENDED and TRADE AGE is FRESH. MOMENTUM HEALTH = STRONG, SCORE TREND = STABLE, and ACTION STATE = HOLD. This illustrates how the panel can flag extension or emerging pressure without forcing a decision.
• EDC | Execution Decision Core (bottom-right) – The EDC panel consolidates the key states into one unified view: SETUP = LONG, ENTRY PERMISSION = ENTER, LIQUIDITY = LOW, TRADE STATUS = VALID, ACTION STATE = HOLD. These are rule-based guidelines summarizing the interaction between Context, Qualification, Management and liquidity conditions. They are decision-support outputs only; they do not place orders and do not imply any guaranteed outcome.
Inputs & Customization
Inputs are provided to adapt the workflow to different instruments and timeframes, including:
• bias/trend parameters and smoothing, optional HTF context,
• structure sensitivity and lookback,
• momentum thresholds,
• volatility thresholds (ATR% limits) and regime filter (ADX),
• liquidity sensitivity (lookback / proximity thresholds),
• visuals (show/hide boards, display mode, mobile minimal view, text size, positioning).
Markets & Timeframes
Designed for multiple markets and instruments available on Trading View, including:
• Indices (index charts / index futures where available — not an options-chain or options-pricing tool)
• Crypto
• Forex
• Stocks / ETFs
• Commodities
Timeframe-agnostic: can be applied from lower to higher timeframes based on your trading style. Results vary by instrument, timeframe, and volatility/regime.
Limitations (Important)
• Discretionary analysis tool only; does not place trades.
• Optional markers/labels (if enabled) are state confirmations only, not recommendations.
• HTF values can update as HTF candles develop.
• Structure/obstacle references are informational decision areas and may be exceeded.
• No indicator removes risk; risk management remains essential.
• Provided “as-is.” Outputs may differ across symbols, sessions, spreads, or data feeds.
Risk & Disclaimer
Trading involves risk. Past behavior does not indicate future performance. This script is provided for educational and analytical purposes only. You are responsible for all trading decisions, including entries, exits, position sizing, and risk management. The script does not place trades and does not provide investment advice.
Abyss Protocol OneAbyss Protocol One — Momentum Exhaustion Trading System
Overview
Abyss Protocol One is a momentum exhaustion indicator designed to identify high-probability reversal points by detecting when price momentum has reached extreme levels. It combines Chande Momentum Oscillator (CMO) threshold signals with dynamic volatility-adjusted bands and multiple protective filters to generate buy and sell signals.
Core Concept
The indicator operates on the principle that extreme momentum readings (CMO reaching ±80) often precede mean reversion. Rather than chasing trends, Abyss Protocol waits for momentum exhaustion before signaling entries and exits.
Key Components
1. Dynamic Bands (Money Line ± ATR)
Center line uses linear regression (Money Line) for smooth trend representation
Bands expand and contract based on Bollinger Band Width Percentile (BBWP)
Low volatility (BBWP < 30): Tighter bands using lower multiplier
High volatility (BBWP > 70): Wider bands using higher multiplier
Bands visually adapt to current market conditions
2. CMO Exhaustion Signals
BUY Signal: CMO drops below -80 (oversold/momentum exhaustion to downside)
SELL Signal: CMO rises above +80 (overbought/momentum exhaustion to upside)
Thresholds are configurable for different assets and timeframes
3. ADX Filter
Signals only fire when ADX exceeds minimum threshold (default: 22)
Ensures there's enough directional movement to trade
Prevents signals during choppy, directionless markets
4. Band Contraction Filter
Calculates band width percentile rank over configurable lookback
When bands are contracted (below 18th percentile), ALL signals are blocked
Prevents trading during low-volatility squeeze periods where breakout direction is uncertain
5. Consecutive Buy Limit
Maximum of 3 consecutive buys allowed before a sell is required
Prevents overexposure during extended downtrends
Counter resets when a sell signal fires
6. Underwater Protection
Tracks rolling average of recent entry prices (last 10 entries within 7 days)
Blocks sell signals if current price is below average entry price
Prevents locking in losses during drawdowns
7. Signal Cooldown
Minimum 5-bar cooldown between signals
Prevents rapid-fire signals during volatile swings
8. Extreme Move Detection
Detects when price penetrates beyond bands by more than 0.6 × ATR
Extreme signals can bypass normal cooldown period
Fire intra-bar for faster response to capitulation/blow-off moves
Still respects max consecutive buys and underwater protection
Visual Features
Trend State Detection
The indicator classifies market conditions into six states based on EMA stack, price position, and directional indicators:
STRONG UP: Full bullish alignment (EMA stack + price above trend + bullish DI + ADX > threshold)
UP: Moderate bullish conditions
NEUTRAL: No clear directional bias
DOWN: Moderate bearish conditions
STRONG DOWN: Full bearish alignment
CONTRACTED: Bands squeezed, volatility low
ADX Trend Bar
Colored dots at chart bottom provide instant trend state visibility:
Lime = Strong Uptrend
Blue = Uptrend
Orange = Neutral
Red = Downtrend
Maroon = Strong Downtrend
White = Contracted
Volume Spike Highlighting
Purple background highlights candles where volume exceeds 2x the 20-bar average, helping identify institutional activity or significant market events.
Signal Labels
Buy labels show consecutive buy count (e.g., "BUY 2/3"), price, and CMO value
Sell labels show consecutive sell count, price, and CMO value
Extreme signals display in distinct colors (cyan for buys, fuchsia for sells)
Signal candles turn bright blue for easy identification
Info Panel
Real-time dashboard displaying:
Current trend state
CMO value with threshold status
CMO thresholds (buy/sell levels)
ADX with directional indicator (▲/▼) and signal eligibility
BBWP percentage
Buy/Sell counters
Average entry price (with underwater shield indicator 🛡 when protected)
Price position relative to Money Line
Band width percentile rank
Extreme move status
Signals status (OPEN/BLOCKED)
Recommended Use
Timeframe: 5-15 minute charts (parameters tuned for this range)
Best suited for: Assets with regular oscillations between overbought/oversold extremes
Trading style: Mean reversion, momentum exhaustion, scaled entries
Parameters Summary
Money Line Length: 12 — Smoothing for center line
ATR Length: 10 — Volatility measurement
Band Multiplier (Low/High Vol): 1.5 / 2.5 — Dynamic band width
CMO Length: 9 — Momentum calculation period
CMO Buy/Sell Threshold: -80 / +80 — Signal trigger levels
ADX Min for Signals: 22 — Minimum trend strength
Signal Cooldown: 5 bars — Minimum bars between signals
Max Consecutive Buys: 3 — Position scaling limit
Band Contraction Threshold: 18th %ile — Low volatility filter
Band Contraction Lookback: 188 bars — Percentile calculation period
Extreme Penetration: 0.6 × ATR — Threshold for extreme signals
STRATEGY 1 │ Red Dragon │ Model 1 │ Pro │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 %
🛑 SL: 2.0 %
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (%)
🛑 SL: 2.0 (%)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 % (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 % (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 %
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 %
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 %
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 %
🛑 SL: 2.0 %
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (%)
🛑 SL: 2.0 (%)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 % (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 % (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 %
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 %
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 %
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
EGX Monitor Dashboard By Biscuits_Trading_Solutionsلوحة مراقبة البورصة المصرية من Biscuits_Trading_Solutions
نظرة عامة:
لوحة مراقبة البورصة المصرية هي أداة تحليل فني شاملة مصممة لتوفير نظرة فورية وواضحة على صحة السوق. تجمع الأداة مؤشرات رئيسية مختارة بعناية لتناسب السوق المصري لتوفر عليك عبء إضافة عدد كبير من المؤشرات في وقت واحد على الشاشة - بما في ذلك متوسطات متحركة، MACD، RSI، ADX، ATR، وتحليل متقدم لحجم التداول (دلتا) - في جدول واحد وسهل القراءة على الرسم البياني. مثالية للمتداولين الذين يحتاجون لتقييم الاتجاه، الزخم، وديناميكيات الحجم في لمحة دون تشويش الشاشة.
English Version is below ⬇️⬇️
المميزات الرئيسية:
* لوحة متابعة للمتوسطات المتحركة: تتابع وتلون وضع السعر بالنسبة لـ 6 متوسطات متحركة رئيسية (200 بسيط، 100 بسيط/آسي، 50 بسيط، 20 آسي، 9 آسي).
* تحليل متقدم لـ MACD: تعرض قيمة هِستوجرام MACD، حالة التقاطع بين MACD وخط الإشارة، وتكشف عن انحرافات صعودية محتملة (Bullish Divergence).
* مقاييس الزخم: تتضمن قراءات RSI و ADX، مع تلوينها للإشارة إلى مناطق الشراء المفرط والبيع المفرط وقوة الاتجاه.
تحليل متطور للحجم:
*دلتا الحجم/السيولة (الفارق بين حجم الشراء وحجم البيع).
* الحجم مقارنة بمتوسطه المتحرك لـ 20 و 50 فترة (لمقارنته بفترة متوسطة 20 شمعة وطويلة 50 شمعة)
* دلتا الحجم مقارنة بمتوسطها المتحرك لـ 20 و 50 فترة لقياس ضغط البيع والشراء.
عرض مرئي نظيف : جميع البيانات معروضة في جدول شبه شفاف يمكن وضعه في أي مكان على الرسم البياني. يتم أيضًا رسم المتوسطات المتحركة بخفة للاستدلال البصري.
مدخلات قابلة للتخصيص : جميع أطوال المؤشرات، المضاعفات، وموضع الجدول قابلة للتعديل كليًا من الإعدادات.
إزاحة الشمعة : تسمح لك بمشاهدة قراءات المؤشر من عدد محدد من الشمعات السابقة، مما يفيد في تحليل الظروف السابقة.
طريقة الاستخدام:
* تقييم الاتجاه: انظر إلى جدول المتوسطات المتحركة. وجود عدة خلايا خضراء (السعر فوق المتوسط) يشير إلى اتجاه صاعد قوي، بينما يشير اللون الأحمر إلى اتجاه هابط.
* تأكيد الزخم: تحقق من مؤشر RSI (شراء مفرط >70، بيع مفرط <30) و ADX (اتجاه قوي >25) لفهم سياق الزخم.
*تأكيد الحجم: استخدم أعمدة الحجم لتأكيد الحركات. حركة السعر المصحوبة بحجم "أعلى من المتوسط" ودلتا "صعودي" تكون أكثر أهمية.
إشارات الدخول/الخروج:
* انحراف MACD الصعودي يمكن أن يشير إلى انعكاس محتمل.
* وجود "نعم" لـ "MACD > Sig" يؤكد الزخم الصعودي.
* قيم ATR المرتفعة تشير إلى زيادة التقلب، وغالبًا ما ترافق الاتجاهات القوية أو اختراقات المستويات.
الإعدادات:
ما عليك سوى إضافة المؤشر إلى الرسم البياني الخاص بك. ستظهر اللوحة تلقائيًا. يمكنك ضبط جميع المعاملات (أطوال المتوسطات المتحركة، إعدادات الحجم، مكان الجدول) في تبويب "الإدخالات" في نافذة المؤشر لتناسب أسلوب تداولك.
إخلاء مسؤولية: جميع الإشارات التي تظهر ليست دعوة للبيع والشراء، هذا المحتوى تعليمي يساعدك على قراءة الشاشة بشكل أفضل، وقرارك الاستثماري يعود لك وحدك.
---
EGX Monitor Dashboard By Biscuits_Trading_Solutions
Overview :
The EGX Monitor Dashboard is a comprehensive technical analysis tool designed to provide a clear and immediate overview of the market's health. It consolidates key indicators, carefully selected for the Egyptian market, saving you the burden of adding a large number of indicators to your screen at once —including moving averages, MACD, RSI, ADX, ATR, and advanced volume delta analysis—into a single, easy-to-read table on your chart. Perfect for traders who need to assess trend, momentum, and volume dynamics at a glance without cluttering their screen.
Key Features :
* Moving Average Dashboard: Tracks and color-codes the price position relative to 6 key moving averages (200 SMA, 100 SMA/EMA, 50 SMA, 20 EMA, 9 EMA).
* Advanced MACD Analysis: Displays the MACD histogram value, the MACD vs. Signal line crossover state, and detects potential bullish divergences.
* Momentum Gauges: Includes RSI and ADX readings, color-coded for overbought/oversold and trend strength conditions.
Advanced Volume/Liquidity Analysis:
* Volume Delta (the difference between buying and selling volume).
* Volume compared to its 20 and 50-period moving averages (for medium-term 20-bar and long-term 50-bar comparisons).
* Volume Delta compared to its 20 and 50-period moving averages to measure buying/selling pressure.
Clean Visualization: All data is presented in a semi-transparent table that can be positioned anywhere on the chart. The moving averages are also plotted lightly for visual reference.
Customizable Inputs: All indicator lengths, multipliers, and the table position are fully adjustable in the settings.
Bar Offset: Allows you to view the indicator readings from a specific number of bars back, useful for analyzing past conditions.
How to Use:
* Trend Assessment: Look at the MA table. A cluster of green "Bullish" cells (price above MA) indicates a strong uptrend, while red indicates a downtrend.
* Momentum Confirmation: Check the RSI (overbought >70, oversold <30) and ADX (strong trend >25) for momentum context.
* Volume Confirmation: Use the volume columns to confirm moves. A price move with "Above Avg" volume and "Bullish" Delta is more significant.
Entry/Exit Clues:
* A "Bullish" MACD divergence can signal a potential reversal.
* A "Yes" for "MACD > Sig" confirms bullish momentum.
* High ATR values indicate increased volatility, often accompanying strong trends or breakouts.
Configuration:
Simply add the indicator to your chart. The dashboard will appear automatically. You can adjust all parameters (MA lengths, volume settings, table position) in the indicator's "Inputs" tab to suit your trading style.
Disclaimer: All signals that appear are not an invitation to buy or sell. This content is educational and is intended to help you read the screen better. Your investment decision is yours alone.
V15.0 Adaptive Chameleon [Pro]
# **V15.0 Adaptive Chameleon – Strategy Description**
**Adaptive Chameleon** is a fully automated TradingView strategy powered by a signal engine based on multi-timeframe trend analysis, adaptive moving averages, and a volatility filter. The goal is to trade in the direction of a strong and confirmed trend, avoid opening trades in weak or manipulative price zones, and establish positions with a clearly defined risk/reward ratio.
---
## **1. General Logic and Philosophy**
The strategy divides tasks between two timeframes:
* **4-Hour Chart → Trend Manager (Boss)**
Determines the direction and strength of the trend.
* **4-Minute Chart → Entry Trigger (Operating Unit)**
Generates the ideal entry signal in the direction of the trend.
Thanks to this structure, the strategy both follows the long-term main direction and finds clear entries with low lag on smaller timeframes.
---
## **2. Trend Detection (4H)**
The strategy uses **KAMA (Kaufman Adaptive Moving Average)** and **ADX** to identify trends on the higher timeframe.
### **KAMA – Adaptive Trend Line**
* The KAMA is much more "smart" than traditional moving averages.
* It accelerates during price movements and decelerates during sideways movements.
* This allows for much clearer detection of trend direction.
### **ADX – Trend Strength Meter**
The strategy only opens trades when **trend strength** is rising (above the ADX average).
This prevents unnecessary trades when the trend is weak.
### **Trend Rules**
* Price above the KAMA → **Uptrend**
* Price below the KAMA → **Downtrend**
* ADX widening → **Trend strong**
The entry trigger is activated when these three conditions are met together.
---
## **3. Entry Engine (45m)**
On the 45-minute timeframe, the system uses the following components:
### **AlphaTrend (MFI + ATR-Based Adaptive Line)**
* Measures market flow direction with MFI (Money Flow Index),
* Measures price level breakouts with ATR (Volatility).
AlphaTrend detects whether the price is likely to reverse upwards or downwards.
### **Entry Signal**
* **Buy signal:** If the AlphaTrend has reversed upwards based on recent bars
* **Sell signal:** If the AlphaTrend has broken downwards
### **Pivot Points (For Stop)**
* The **pivotLow** and **pivotHigh** levels of the last 10 bars are calculated.
* These are used to determine the most logical stop distance.
---
## **4. Protection Shields**
The strategy uses two main filters to protect against the most dangerous conditions in the crypto market:
### **1. Pump/Dump Filter**
* A candlestick length greater than 4% is considered a "pump bar."
* Never open a trade on these bars.
The goal: to avoid sudden manipulation candlesticks.
### **2. RSI Filter**
* Long trades: RSI > 45 (open long on weak momentum)
* Short trades: RSI < 55 (open short on extremely strong momentum)
These filters provide more balanced entries.
---
## **5. Final Entry Conditions**
### **All conditions are required simultaneously for long:**
1. 4H trend up
2. ADX trend strength increasing
3. 45m AlphaTrend issued a "buy" signal
4. RSI > 45
5. No candlestick pump
6. Date range is suitable
### **All conditions apply in the opposite direction for short.**
---
## **6. Exit Mechanism (Stop, TP, Trailing)**
The strategy uses a three-layer structure on the exit side:
### **1. Pivot-Based Stop**
* Stop distance = Entry price − Pivot Low (for long)
* Minimum stop distance = **1% of the price**
Provides both structural and mathematical security.
### **2. Fixed R:R (Default 1:2)**
* TP = Entry + Stop Distance × R:R
The default 2R target is ideal for trend systems.
### **3. Optional Trailing Stop**
* Dynamic trailing stop that follows the price by a certain percentage.
* Allows trend trades to yield greater profits.
---
## **7. Chart Displays**
* Purple line:** 4H WEDGE (main trend line)
* Yellow background:** Pump protection is active (trades will not be opened on that bar)
---
## **8. Practical Effect of the Strategy**
This system has an adaptive structure based on trend variations.
**Strengths:**
* Very high accuracy (76–80% in SOL and ETH tests)
* Low drawdown (approximately 6–7%)
* Safe entries thanks to pump/dump and extreme momentum filters
* Clearly defined stop and target structure
* Low noise thanks to multi-timeframe compatibility
**Weaknesses:**
* Performance may decrease in sideways markets without trends
* Overtrading may occur if the ADX filter is closed
* Very small stops can sometimes cause unnecessary triggers
---
## **9. Conclusion**
**Adaptive Chameleon** is a trend-based and highly stable strategy with well-established risk management, manipulation filtering, and entry into lower timeframes with clear trend direction detection and low-latency signals.
SOL and ETH demonstrated strong and balanced performance in backtests with metrics such as:
* **600+ trades**
* **30–37% profit**
* **76–80% win rate**
* **Low max drawdown**
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting📊 I. Strategy Overview: Trust Backed by Numbers
The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin
BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data.
This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period.
■ Visual Proof: Bar Replay Simulation
The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms:
Confirmed buy/sell signals with exact execution prices (marked in red and blue)
No repainting or signal distortion after candle close
Consistent performance across multiple market cycles within the highlighted zone
💰 Core Performance Metrics:
Cumulative Return: 2,609.14% (compounded growth over 7 years)
Maximum Drawdown (MDD): 6.999% (preserving over 93% of capital)
Average Profit/Loss Ratio: 8.003 (industry-leading risk-reward efficiency)
Total Trades: 24 (focused exclusively on high-conviction opportunities)
Sortino Ratio: 11.486 (mathematically proving robustness and stability)
✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period.
📊 I. 전략 개요: 숫자로 입증된 신뢰
ADX Sniper v12 전략은 2018년 11월 14일부터 2025년 11월 8일까지 약 7년간 비트코인 (BTCUSD.P) 선물 시장의 모든 주요 사이클을 거치며 엄격하게 검증되었습니다. 수익성 극대화와 변동성 최소화라는 상충되는 목표를 동시에 달성한 이 전략의 핵심 성과 지표를 객관적 데이터를 통해 확인하실 수 있습니다.
본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다.
■ 시각적 증명: 바 리플레이 시뮬레이션
위 차트는 TradingView의 바 리플레이 기능으로 포착된 실제 진입 및 청산 시점을 보여줍니다. 녹색 네모는 핵심 수익 구간을 표시하며, 전략이 지속적인 상승 추세를 성공적으로 포착한 영역을 나타냅니다. 본 시각 자료는 다음을 입증합니다:
정확한 체결 가격이 표기된 확정된 매수/매도 신호 (빨강색과 파랑색으로 표시)
캔들 종가 후 신호 왜곡이나 리페인팅 없음
강조 표시된 구간 내 여러 시장 사이클에 걸친 일관된 성과
💰 핵심 성과 지표:
누적 수익률: 2,609.14% (7년간 복리 성장 입증)
최대 낙폭 (MDD): 6.999% (7년간 자본의 93% 이상 보존)
평균 손익비: 8.003 (업계 최고 수준의 위험-보상 효율성)
총 거래 횟수: 24회 (고확신 기회에만 집중)
소르티노 비율: 11.486 (전략의 견고성과 안정성을 수학적으로 입증)
✅ 본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다.
🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run
Why MDD Stays Below 7% in a Volatile Market
The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck:
🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones.
🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns.
The Power of an 8.003 Profit Factor
The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns.
A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy:
Cutting losses quickly (averaging $177,419 USD loss per trade)
Riding winners for maximum extension (averaging $1,419,920 USD profit per trade)
🛡️ II. 핵심 철학: 손실은 빠르게 자르고, 수익은 끝까지
암호화폐 시장에서 MDD <7%의 의미
암호화폐 선물 시장은 일일 변동성이 10%를 초과하는 경우가 빈번하며, 일반적인 전략들은 30~50%의 MDD를 겪습니다. 이와 극명한 대조로, 본 전략은 7년간 단 한 번도 7%를 초과하는 계좌 손실을 기록하지 않았습니다. 이렇게 극도로 낮은 MDD는 운이 아닌 체계적인 메커니즘을 통해 달성되었습니다:
🎯 진입 필터링: 'ADX 팝업 필터'가 핵심 구성 요소로, 시장 상황이 주요 반전이나 횡보를 나타낼 때 거래를 엄격히 회피하여 고위험 구간 노출을 최소화합니다.
🏛️ 자본 보존 우선: 본 전략은 최대 잠재 손실을 감수하기보다 투자자의 심리적 안정성과 자본 보존을 우선시하도록 설계되었습니다.
손익비 8.003의 힘
손익비는 '총 수익 거래'와 '총 손실 거래'의 비율로, 위험 조정 수익을 측정하는 핵심 지표입니다.
8.003이라는 값은 1달러를 잃을 때마다 평균적으로 8달러 이상을 벌어들이는 구조를 의미합니다. 이는 진정한 추세 추종 전략의 최대 효율성을 보여줍니다:
손실은 빠르게 자르고 ($177,419 USD 평균 손실)
수익은 최대한 연장합니다 ($1,419,920 USD 평균 수익)
🎯 III. Strategy Reliability and Structural Edge
The Secret of 24 Trades in 7 Years
Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading:
❌ No commission bleed
❌ No slippage erosion
❌ No psychological wear from overtrading
📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise.
Non-Repainting Structure: Alignment of Reality and Simulation
🎬 Non-Repainting Proof Video Available
※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years."
✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed.
✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments.
✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results.
🎯 III. 전략의 신뢰성과 구조적 우위
7년간 24회 거래의 비밀
7년간 단 24회의 거래는 시장 변동성의 99%를 무시하고 오직 1%의 '가장 확실한 매수 사이클'만을 타겟으로 한다는 것을 의미합니다. 이는 과도한 거래로 인한 문제를 근본적으로 제거합니다:
❌ 수수료 소모 없음
❌ 슬리피지 침식 없음
❌ 과도한 트레이딩으로 인한 심리적 소모 없음
📈 장기 추세 추종: 비트코인 가격 역사를 지배하는 장기 사이클 분석을 활용하여, 단기 시장 노이즈에 흔들리지 않고 대규모 추세의 시작점을 포착하는 데 집중합니다.
논-리페인팅 구조: 현실과 시뮬레이션의 일치
🎬 논-리페인팅 증명 영상 제공 가능
※↑ "원하신다면 7년간 리페인팅이 없음을 증명하는 영상도 보여드릴 수 있습니다."
✅ 실시간 거래 신뢰성: 본 전략은 논-리페인팅 구조로 구축되어, 캔들의 종가가 확정된 후에만 매수/매도 신호를 생성합니다.
✅ 데이터 과장 방지: 이러한 설계는 백테스트 결과가 과거 성과를 '리페인팅'하거나 과장하지 않도록 보장하며, 시뮬레이션 결과와 실제 라이브 거래 환경 간의 높은 상관관계를 보장합니다.
✅ 라이브 실행 우위 가능성: 시뮬레이션은 종가 기준이지만, 라이브 운영 시 캔들이 마감되기 전 더 유리한 가격에 진입할 수 있어 시뮬레이션 결과보다 더 나은 실행 성과를 얻을 가능성이 있습니다.
📈 IV. Performance Summary (November 14, 2018 - November 8, 2025)
| Metric | Value || Metric | Value |
|--------|-------|
| Initial Capital | $1,000,000 |
| Net Profit | +$26,091,383.74 |
| Cumulative Return | +2,609.14% |
| Maximum Drawdown | -6.999% |
| Total Trades | 24 |
| Winning Trades | 19 (79.17%) |
| Losing Trades | 5 (20.83%) |
| Avg Winning Trade | +$1,419,920.16 |
| Avg Losing Trade | -$177,419.86 |
| Profit Factor | 8.003 |
| Sortino Ratio | 11.486 |
| Win/Loss Ratio | 8.003 |
⚙️ Default Settings:
Slippage: 0 ticks
Commission: 0.333% (Bybit standard)
📈 IV. 성과 지표 요약 (2018년 11월 14일 ~ 2025년 11월 8일)
|| 지표 | 값 |
|--------|-------|
| 초기 자본 | $1,000,000 |
| 순이익 | +$26,091,383.74 |
| 누적 수익률 | +2,609.14% |
| 최대 낙폭 | -6.999% |
| 총 거래 횟수 | 24 |
| 수익 거래 | 19 (79.17%) |
| 손실 거래 | 5 (20.83%) |
| 평균 수익 거래 | +$1,419,920.16 |
| 평균 손실 거래 | -$177,419.86 |
| 손익비 | 8.003 |
| 소르티노 비율 | 11.486 |
| 평균 손익 비율 | 8.003 |
⚙️ 기본 설정:
슬리피지: 0틱 (기본값)
수수료: 0.333% (Bybit 표준)
👥 V. Who Is This Strategy For?
✅ Long-term Bitcoin investors seeking stable, low-drawdown returns
✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries
✅ Investors seeking psychological stability by avoiding large account swings
✅ Data-driven decision makers who value proven performance over marketing claims
👥 V. 이 전략은 누구를 위한 것인가요?
✅ 안정적이고 낮은 낙폭의 수익을 추구하는 장기 비트코인 투자자
✅ 과도한 매매에 지친 트레이더로 저격수 스타일의 정밀한 진입을 선호하는 분
✅ 큰 계좌 변동을 피하여 심리적 안정성을 추구하는 투자자
✅ 주장보다 검증된 객관적 성과를 중시하는 데이터 기반 의사 결정자
🔒 VI. Access & Disclaimer
🔐 Access Type: Invite-Only (Protected Source Code)
💬 How to Get Access: Send a private message or leave a comment below
⚠️ Important Disclaimer:
Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy.
🔒 VI. 접근 방법 및 면책사항
🔐 접근 유형: 초대 전용 (소스코드 보호)
💬 접근 방법: 비공개 메시지 또는 아래 댓글 남기기
⚠️ 중요 면책사항:
과거 성과가 미래 결과를 보장하지 않습니다. 암호화폐 및 선물 거래는 상당한 손실 위험을 수반합니다. 본 전략은 교육 및 정보 제공 목적으로만 제공됩니다. 사용자는 투자 결정을 내리기 전 자체 조사를 수행하고 재무 자문가와 상담해야 합니다. 저자는 본 전략 사용으로 인한 재정적 손실에 대해 책임지지 않습니다.
🏷️ VII. Tags
Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio
🏷️ VII. 태그
비트코인 |비트코인 | BTCUSD | BTCUSD.P | 바이비트 | 일봉 | 장기투자 | 추세추종 | ADX | 논리페인팅 | 전략 | 백테스트검증 | 7년검증 | 저낙폭 | 고손익비 | 안정수익 | 자본보존 | 일목균형표 | DMI | 슈퍼트렌드 | 기술적분석 | 변동성 | 위험관리 | 자동매매 | 선물 | 무기한선물 | 알고리즘트레이딩 | 시스템트레이딩 | 데이터기반 | 초대전용 | 보호스크립트 | 저격수트레이딩 | 고확신 | MDD | 소르티노비율
📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
📌 참고: 본 전략은 Bybit BTCUSD.P 무기한 선물 계약의 1일봉(Daily) 타임프레임에 전용으로 설계되었습니다. 다른 심볼이나 타임프레임에서는 성과가 크게 달라질 수 있습니다.
Reddington Trading Bot Adaptive Signals# Reddington Trading Bot Adaptive Signals — mashup disclosure & user guide
## What it is
**Reddington Trading Bot Adaptive Signals** is a **manual trading** overlay that aggregates multiple entry logics (Supertrend, Bollinger, MACD, Counter-Trend, Scalp) behind a single, adaptive filter stack (EMA trend, ADX strength, ATR regime, volume, RSI band, sessions, candle confirmation).
When a setup passes all gates, the script **marks the bar** with a label (e.g., `ST Long ####`) and plots **Entry / SL / TP / Half-TP** reference lines for discretionary execution.
> This is an **indicator**, not an autostrategy. It does not place orders or manage positions.
---
## Mashup disclosure — what’s combined and why
This script is a **mashup** designed to reduce false positives by requiring **confluence** across trend, momentum, volatility, and liquidity:
* **Trend filter (EMAs)** — `ema_short > ema_long` for longs and vice versa for shorts.
*Why:* prevents fighting the dominant direction.
* **Supertrend direction** — uses `ta.supertrend()` to pick continuation states.
*Why:* captures impulse while controlling whipsaw.
* **Bollinger context** — upper/lower band interaction for breakout/overshoot logic.
*Why:* detects expansion and extreme deviations.
* **MACD cross (12/26/9)** — confirms momentum turns with `ta.macd`.
*Why:* times transitions into continuation.
* **RSI band** — between configurable overbought/oversold levels.
*Why:* avoids chasing exhaustion.
* **ADX strength (manual DI+/DI− → DX → RMA)** — trend quality gate.
*Why:* filters out chop when trend quality is weak.
* **ATR regime window** — ATR between low/high multiples of its baseline.
*Why:* trades when volatility is “tradable”, not too thin or too wild.
* **Volume filter** — volume ≥ SMA(volume, N).
*Why:* favors liquid conditions and cleaner ticks.
* **Session gate (Asia/EU/US)** — run only in chosen UTC windows.
*Why:* aligns with hours of depth, fewer fake breaks.
* **Candle confirmation** — simple **bar-over-bar**/**bar-under-bar** check.
*Why:* a last safety check to avoid immediate reversals.
The **strength** of the mashup is that each module covers a blind spot of the others, so a signal only prints when *trend + momentum + volatility + liquidity* line up.
---
## Non-repaint & timing notes
* The script **does not** use `request.security()`; all logic is computed on the active chart TF with standard Pine series semantics.
* Conditions can evolve **intra-bar**. For conservative usage, **confirm on bar close** before executing.
* Plotted levels (Entry/SL/TP/Half-TP) are reference guides; fills depend on your execution and venue slippage.
---
## Inputs (concise)
* **Supertrend multiplier**; **ADX threshold**; ATR low/high multiples; **RSI overbought/oversold**.
* **Sessions**: enable/disable Asia, Europe, America (UTC).
* Internal periods are **auto-scaled** from a 300-sec base via `timeframe.in_seconds()`, adapting the signal windows to your chart TF.
---
## Entry families (built-in)
* **ST (Supertrend continuation)**
Long: ST up + EMA short>long + below BB upper + ADX>th + volume/ATR/RSI ok + candle confirm + session.
Short: symmetric.
* **BB (Bollinger context)**
Long: close > BB upper + quality gates; Short: close < BB lower + quality gates.
* **MACD (momentum cross)**
Cross up/down with quality gates and candle confirm.
* **CT (Counter-trend poke)**
Long: close < BB lower with distance to middle > 1% and RSI<50; Short: mirror.
*Use sparingly; relies on strong quality gates to avoid catching knives.*
* **SC (Scalp EMA5/EMA10 cross)**
With mid-RSI, ADX>20, and all quality gates.
**Position state** is tracked internally (series vars) so that once in a trade, the script monitors **SL**, **Half-TP**, and **TP** hits and prints corresponding labels.
---
## On-chart visuals
* **Entry/SL/TP/Half-TP** lines (cross style), visible **only while a position is tracked**.
* **Bar labels** on entry (` Long/Short ####`), on SL/TP/Half events.
* A small **session/ticker/TF tag** on the last bar.
---
## How to trade it (suggested checklist)
1. **Wait for the label** (e.g., `ST Long …`) and check that all quality filters are green (they are enforced inside the code).
2. Execute **at your discretion** (market/limit); the script’s **Entry** level is the reference (close or your own limit).
3. Place **SL/TP** according to the printed levels; optionally scale at **Half-TP**.
4. Prefer **bar-close confirmation** on faster TFs to reduce intra-bar noise.
5. Respect your own risk rules (position sizing, max daily loss, news filter).
---
## Recommended timeframes & markets
* Designed for **intraday** use (e.g., **5m–15m**) where volume and sessions matter.
* Works on crypto perpetuals/spot and liquid FX/CFD symbols; threshold tuning may be required per venue.
---
## Limitations & tips
* It’s **one** layer of confirmation; don’t force trades in flat liquidity or into major news.
* CT/Scalp entries are more sensitive to noise; if you prefer higher selectivity, raise **ADX threshold** and narrow **ATR window**.
* Because conditions can change **within a bar**, **alerts** are best set to trigger **on bar close** if you add `alertcondition()` hooks (not included in this base).
---
## Disclaimer
This script is for **educational purposes only** and does **not** constitute financial advice, investment recommendation, solicitation, or an offer to buy/sell any instrument. Trading involves risk; past results do not guarantee future performance. You are solely responsible for your trading decisions and outcomes.
Flow Control Oscillator (FCO)Flow Control Oscillator (FCO)
The Flow Control Oscillator (FCO) is a momentum-based indicator that combines volume analysis and money flow to determine who is in control of the market—buyers or sellers—and how strong that control is. Unlike pure price-based oscillators, FCO integrates both price action and volume distribution to provide a more complete picture of market dynamics.
How It Works
Core Components:
Money Flow Index (MFI) -
Scaled to -1 to +1 range
Measures the flow of money into and out of an asset
Identifies buying and selling pressure based on price and volume
Chaikin Money Flow (CMF) -
Already in -1 to +1 range
Measures the accumulation/distribution of volume
Shows whether volume is accumulating (buying) or distributing (selling)
Combined Flow Control Line (FCO Line) -
Equal-weighted composite of MFI and CMF
Smoothed with SMA (default: 3 periods)
Values above 0 = Buyers in control
Values below 0 = Sellers in control
Signal Line -
WMA of the FCO line (default: 6 periods)
Used for timing entries and confirming momentum shifts
Momentum Histogram-
Shows the rate of change in buyer/seller control
Weighted by ADX (Average Directional Index) when enabled
Larger bars = stronger momentum
ADX weighting filters out choppy, unreliable signals
Key Zones
Neutral Zone (-0.3 to +0.3): Balanced market, low conviction
Healthy Trend Zone (±0.3 to ±0.7): Clear control without exhaustion
Warning Zone (±0.7 to ±1.0): Extended, approaching exhaustion
Extreme Zone (beyond ±1.0): Overbought/oversold, reversal likely
What To Look For
Reversal Setups:
FCO in extreme zone (beyond ±1.0)
FCO crosses Signal line in opposite direction
Momentum histogram shrinking (weakening pressure)
Interpretation: Buyers or sellers are exhausted and losing control
Trend Strength Setups:
FCO crosses zero line (control shift)
Momentum histogram growing in the same direction
ADX confirms strong trend (no orange background)
Signal line moving in same direction as FCO
Interpretation: New control being established with building momentum
Divergences:
Price makes new high/low but FCO doesn't confirm
Indicates weakening momentum despite price movement
Early warning of potential reversal
Choppy Market Warning:
Orange background (ADX < 20)
Small momentum bars regardless of FCO position
Interpretation: Weak trend, avoid trading or use tight stops
Best Practices:
Use with context: Combine with support/resistance levels (like VWAP) for confluence
Multi-timeframe confirmation: Check higher timeframe FCO for overall bias
Wait for confirmation: Let signals develop rather than predicting turns
Respect extreme zones: Best reversal opportunities occur when FCO is beyond ±1.0
Filter with ADX: Pay attention to background coloring—avoid choppy conditions
The indicator includes comprehensive alert conditions for:
Reversal setups (extreme + cross + weakening momentum)
Trend strength signals (zero cross + growing momentum + strong ADX)
FCO/Signal crossovers
Extreme overbought/oversold conditions
Control shifts (buyers/sellers taking control)
OBTrendDelta Volume Delta & Order Block SuiteOB Trend Delta V1 - Order Block & Volume Delta Indicator
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📊 OVERVIEW
OB Trend Delta V1 is a technical indicator that combines Order Blocks analysis (institutional support/resistance zones) with Volume Delta (buying vs selling pressure) to provide insights on setup quality and market dynamics.
The indicator visually displays zones of interest, volume pressure, and a quality scoring system to assist in technical analysis of any market.
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🎯 CORE CONCEPT
▸ ORDER BLOCKS
Order Blocks are price zones where large institutions executed significant operations. These areas tend to act as support (Bull OB) or resistance (Bear OB) when price returns to them.
How to interpret:
🟢 Bull Order Block: Green zone where institutional buyers entered strongly → Potential support
🔴 Bear Order Block: Red zone where institutional sellers entered strongly → Potential resistance
▸ VOLUME DELTA
Volume Delta measures the difference between buying and selling volume in each candle, revealing which side of the market is dominating.
How to interpret:
✅ Positive Delta (green histogram): Buyers dominating → Bullish pressure
❌ Negative Delta (red histogram): Sellers dominating → Bearish pressure
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📈 WHAT THE INDICATOR SHOWS
1️⃣ TREND DETECTION
The indicator identifies the main market direction using moving averages and trend strength analysis (ADX), visually highlighting when the market is in:
Uptrend (Bullish Trend)
Downtrend (Bearish Trend)
Ranging (Sideways market/no clear trend)
2️⃣ SETUP QUALITY SYSTEM
Each trading opportunity is evaluated on 6 independent criteria:
✅ Price inside a valid Order Block
✅ Volume Delta confirming the direction
✅ Order Block is recent and "fresh"
✅ Few previous retests (OB still strong)
✅ Volume confirmation above average
✅ Favorable market regime
Setup Quality Score: 0 to 6 points
Score 6: Perfect setup (all criteria met)
Score 5: Excellent setup (5 of 6 criteria)
Score 4: Good setup (4 of 6 criteria)
Score 0-3: Weak setup or forming
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🔧 VISUAL COMPONENTS IN THE INDICATOR
▸ VOLUME DELTA HISTOGRAM
🟢 Green Bars: Buying volume > selling volume (bullish pressure)
🔴 Red Bars: Selling volume > buying volume (bearish pressure)
📊 Intensity: The larger the bar, the greater the pressure
▸ ORDER BLOCK ZONES
🟢 Green Boxes (Bull OB): Institutional support zones
🔴 Red Boxes (Bear OB): Institutional resistance zones
🔄 Projection: OBs are extended to the right until invalidated
▸ SETUP QUALITY SIGNALS
📊 Score Labels: Show setup quality (Q4, Q5, Q6)
• Q6: Perfect setup (all 6 criteria met)
• Q5: Excellent setup (5 of 6 criteria)
• Q4: Good setup (4 of 6 criteria)
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💡 HOW TO INTERPRET THE INFORMATION
Observe trend direction (EMAs and ADX)
Identify active Order Blocks:
• Bull OBs (green): Potential support zones
• Bear OBs (red): Potential resistance zones
Analyze Volume Delta:
• Green bars: Dominant buying pressure
• Red bars: Dominant selling pressure
Check Setup Quality Score:
• Q5-Q6: Setups with multiple confirmations
• Q4: Setup with moderate confirmations
• Q0-Q3: Few criteria met
⚠️ NOTE: The indicator provides technical information. Trading decisions are exclusively yours.
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📊 TECHNICAL CHARACTERISTICS
▸ RECOMMENDED TIMEFRAMES
5 minutes: Scalping / Fast day trading
15 minutes: Day trading
1 hour: Swing trading
4 hours: Medium-term positions
Daily: Long-term analysis
▸ COMPATIBLE MARKETS
✅ Forex (all pairs)
✅ Cryptocurrencies (BTC, ETH, altcoins)
✅ Indices (S&P500, Nasdaq, etc)
✅ Commodities (Gold, Oil, etc)
✅ Stocks and CFDs
⚠️ Requirement: Volume data is necessary for Volume Delta calculation
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⚠️ IMPORTANT WARNINGS
▸ EDUCATIONAL USE
📊 This indicator is an educational technical analysis tool
⚠️ The indicator does NOT provide buy or sell signals
⚠️ The indicator does NOT guarantee results
⚠️ All trading decisions are your responsibility
▸ RISK MANAGEMENT
⚠️ Always use proper risk management
⚠️ Never trade with money you cannot afford to lose
⚠️ Test the indicator on a demo account before using real money
⚠️ Combine with your own analysis and strategy
▸ LIMITATIONS
❌ No indicator is 100% accurate
❌ Markets can behave unpredictably
❌ Requires confirmation with other analyses
❌ Volume Delta requires reliable volume data
▸ DISCLAIMER
📢 This indicator is educational and does not constitute investment advice.
The indicator shows technical information, not trading signals
Past results do not guarantee future results
Trading involves risk of total capital loss
You are 100% responsible for your trading decisions
Consult a financial professional before investing
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📚 ADVANCED CONCEPTS
▸ WHAT ARE ORDER BLOCKS?
Order Blocks represent zones where "smart money" (institutions, whales) accumulated or distributed positions. When price returns to these zones, there is high probability of reaction due to:
Pending limit orders
Psychological levels
Institutional value zones
▸ VOLUME DELTA VS NORMAL VOLUME
Normal volume shows only QUANTITY of trades.
Volume Delta shows DIRECTION (who is winning the battle):
High volume + Positive delta = Strong accumulation 🚀
High volume + Negative delta = Strong distribution 📉
▸ MARKET REGIME (ADX)
ADX measures TREND STRENGTH:
ADX > 25: Strong trend (best time to trade)
ADX < 20: Sideways/ranging market (avoid trades)
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✅ BEFORE USING THIS INDICATOR
Make sure you:
☑ Understand the Order Blocks concept
☑ Know how to interpret Volume Delta
☑ Understand trend analysis
☑ Have your own trading strategy
☑ Know risk management
☑ Understand the indicator does NOT provide buy/sell signals
☑ Are aware of trading risks
☑ Test on demo account before using real money
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📊 USE AS AN ANALYSIS TOOL, NOT AS AN AUTOMATIC DECISION SYSTEM!
The indicator provides information. You make the decisions.
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Version: 1.0 | Type: Order Block + Volume Delta + Trend Analysis | Update: October 2024
多指标量化交易DIY- The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include:
- Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode.
- Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction.
- Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels.
- Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span.
- TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts.
- Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength.
- ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds.
- RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends.
- Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles.
- Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges.
Confirmation Filters
- Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples:
- EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels.
- 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment.
- RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern.
- RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories.
- Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade.
- VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts.
- ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades.
- Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup.
- By combining several filters you can create strict, conservative entries or looser setups depending on your goals.
Range Filter Engine
- A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types:
- Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges.
- Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments.
- The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation.
Signal Construction
- The script computes:
- leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator.
- longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition.
- Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger.
- Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset.
- Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions.
Visualization
- Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”).
- Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning.
- Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals.
- Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates.
Inputs and Parameters
- You control the indicator from a comprehensive input panel:
- Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size).
- Leading Indicator: Choose the primary signal generator from the large list.
- Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior.
- Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales.
- Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes.
Alerts and Automation
- The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration.
Typical Workflow
- Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian.
- Add a few key Confirmation Filters that complement the leading signal. For example:
- Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum.
- Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions.
- Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough.
- Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly.
- Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed.
- For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot.
Strengths and Practical Notes
- Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately.
- Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code.
- Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset.
- Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean.
- Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes.
Limitations and Recommendations
- No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically.
- Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime.
- Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy.
- Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results.
Example Configurations
- Trend-Following Setup:
- Leading: Supertrend uptrend for longs and downtrend for shorts.
- Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA.
- Expiry: 3–4 bars to keep entries timely.
- Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity.
- Mean-Reversion to Momentum Crossover:
- Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short).
- Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation.
- Expiry: 2–3 bars for responsive re-entry.
- Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes.
- Range Breakout Focus:
- Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts.
- Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold.
- Expiry: 1–3 bars to act on breakout windows.
- Result: Better alignment to breakout dynamics, gating trades by volatility and regime.
Conclusion
- This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Crash Survival Indicator (SPX, Weekly/Daily)Short description
SPX-focused risk context tool using 30WMA/ATR/ADX and distance to 30WMA, with optional Hindenburg-Omen breadth and macro add-ons. Weekly is primary; Daily provides early-warning. Educational only.
Full description (English first)
What it is
Crash Survival Indicator (CSI) is a rules-based risk context indicator for the S&P 500 index (SPX). It helps keep decisions data-driven during stress by combining four weekly conditions into a weighted risk score and presenting them in a readable dashboard. Optional breadth (Hindenburg Omen cluster proxy) and macro add-ons give additional context. This is not a buy/sell system.
Why it’s original and useful
Weekly core with confirmation: Four classic conditions (30WMA regime, ATR(14) trend, ADX(14) > 20 & rising, and % distance from 30WMA) feed a 0–100 score. A 2-of-3 gate (WMA down / ATR up / ADX>20↑) must confirm before “Danger,” reducing false spikes.
Daily Early-Warning: A separate daily preview flags conditions approaching the Danger threshold (with a streak filter). It’s a heads-up only, not a timeframe switch.
Scope control to avoid confusion: Signals (labels/alerts) are restricted to SPX on Weekly/Daily by design. The dashboard can be shown SPX-only or on all symbols (configurable).
Clarity for all users: Beginner card view (plain badges) and Pro table view (detailed chips) improve readability without hiding logic.
How it works (mechanics)
Weekly core (primary frame)
30WMA regime: price vs 30-week WMA; IN/OUT labels on crosses.
ATR(14): rising ATR counts as volatility stress.
ADX(14): risk weight when ADX > 20 and rising.
Distance to 30WMA: % deviation flags potential overheat.
Scoring & thresholds: Weighted sum → Caution ≥ 40, Danger ≥ 60 (defaults). Danger also requires the 2-of-3 gate above.
Daily Early-Warning: Uses daily versions of the same ideas to detect near-Danger conditions with a streak requirement (heads-up only).
Optional breadth (Hindenburg Omen proxy): Elevated new highs and new lows while the NYSE Composite is above its 50DMA, with deteriorating breadth momentum; requires cluster confirmation to reduce noise.
Optional macro add-ons: VIX regime, DXY strength, credit stress (HYG/LQD vs MA), and TNX trend each add adjustable weights.
Inputs (overview)
Scope & Mode: SPX primary/alt tickers; signal restriction to SPX + Weekly/Daily; dashboard visibility (SPX-only vs all symbols); Beginner or Pro display.
Label Policy: Weekly-only / Weekly-core + Daily-early (default) / All (W/D); lookback windows and minimum bar gaps to prevent clutter.
Scoring: Weights for 30WMA down, ATR up, ADX>20↑, Overheat; Caution/Danger thresholds; Overheat % (distance).
Hindenburg Omen (optional): NYSE Composite and High/Low/AD series; cluster requirement.
Macro add-ons (optional): Symbols + weights for VIX, DXY, HYG, LQD, TNX.
Early Warning (Daily): Near-Danger buffer and streak length.
Visuals & Alerts: Background shading, labels on/off, font size, dashboard position, runtime
alerts.
Alerts (contextual; not trade signals)
OUT — 30WMA Down Break (Weekly)
IN — 30WMA Reclaim (Weekly)
Risk ≥ Danger + 2-of-3 Gate
Hindenburg Omen Cluster detected
Early Warning (Daily near Danger, streak)
Alerts provide context only. They are not buy/sell instructions.
Intended use and limitations
Use the Weekly panel for decisions; treat Daily Early-Warning as a heads-up.
Best used as risk framing alongside your own process (position sizing, liquidity, event risk).
Breadth/macro inputs depend on your data source; if unavailable, keep add-ons off.
No forward-looking data or lookahead; designed to avoid repainting.
Disclaimer
For educational purposes only. Not financial advice, not an investment recommendation, and not a solicitation to buy or sell any security. Past performance does not guarantee future results. Users are solely responsible for their decisions and regulatory compliance.
Optional Korean addendum (append after English)
한국어 안내 요약: 본 지표는 위기 상황에서 감정보다 데이터를 우선할 수 있도록 리스크 맥락을 제공합니다. 주봉이 핵심, 일봉은 조기경보(Heads-up)이며, 매수/매도 신호가 아닙니다. 심프님의 프로토타입 철학을 살리되 SPX 한정 신호, 라벨/알림 정책, 선택형 오멘/매크로 기능, 초보/프로 대시보드 등 가독성을 개선했습니다. 투자 판단과 책임은 전적으로 사용자에게 있습니다.
Privacy & format
Visibility: Public
Source: Protected (no source disclosure), compliant with Publishing Rules
Language: English title & description first; Korean addendum optional
Screenshot guidance (for your gallery)
Weekly SPX showing dashboard at “Danger” with an OUT label.
Weekly SPX with Hindenburg Omen Cluster label and shaded background.
Daily SPX with Early-Warning label as weekly approaches Danger.
Beginner vs Pro dashboard comparison on SPX.
Author certification (paste if needed)
I certify this publication contains no promotions, links, or solicitations, complies with TradingView House Rules and Script Publishing Rules, uses Pine v5, and is intended solely for educational purposes with no performance claims.
TwinPulse Q Lead SPY x QQQ Intermarket Pulse 1HTwinPulse Q Lead is a concise one hour indicator for SPY and QQQ that converts three sources of market information into a single pulse line, a mode readout with BUY SELL WAIT, and compact alerts. It blends intermarket leadership between QQQ and SPY, intraday flow from the slope of session VWAP, and where the current price sits inside the regular trading hours range. The three components are normalized, fused, compressed to a stable range, and smoothed for clear thresholds. The aim is a readable intraday regime signal that helps you decide when to participate and when to stand aside.
The script is built with Pine v6, uses request security with lookahead off, and does not repaint. It is an indicator, not a strategy. It does not contain any solicitation, links, or outside references. The description is self contained and explains both logic and use so that any trader can understand the design without reading code.
What makes this original and useful
Intermarket leadership is measured directly from QQQ and SPY on your working timeframe using a Z score of the return spread. When growth is leading value heavy large caps, leadership turns positive. When it lags, leadership turns negative. This gives a real time read of the Nasdaq versus S and P tug of war that most day traders watch informally.
Intraday flow is taken from the slope of the session VWAP. A linear regression of VWAP over a short window captures whether value is rising or falling inside the day. Dividing by ATR normalizes slope by typical movement so that the signal is comparable across weeks.
Session position places price inside the current regular hours high to low. It answers whether the day is trading in the top half, the bottom half, or the middle. This is a simple but powerful context filter for breakouts and fades.
The three components are fused into one pulse, compressed with either hyperbolic tangent or softsign to keep values bounded, and then smoothed by a short EMA. This yields a stable range with a zero line so the eye can read shifts quickly.
The panel shows a human readable mode with reasons and a strength score. Traders who do not want to read lines can rely on a simple state and a compact justification that explains why the state is set.
This is not a mashup that simply overlays unrelated indicators. Each component was chosen to answer a distinct question that is common to SPY and QQQ intraday decision making. Leadership answers who is in charge, flow answers whether value inside the session is building or leaking, and position answers if price is pressing the extremes or circling the middle. The pulse ties the three together and prevents any single component from dominating.
How the calculations work
Leadership. Compute a short rate of change for SPY and QQQ. Subtract SPY from QQQ to get spread returns, then compute a rolling Z score over a longer window. Positive values mean QQQ is leading. Negative values mean SPY is leading.
Flow. Compute session VWAP on the active symbol. Regress VWAP over a short window to obtain a slope estimate. Divide by ATR to scale slope by current volatility so that a small rise on a quiet day is not treated the same as a small rise on a wild day.
Position. Track the highest high and lowest low since the start of regular hours. Place the current close inside that range on a zero to one scale, then recenter to a minus one to plus one scale. Positive means the top half of the day, negative means the bottom half.
Fusion. Multiply each component by a weight so users can emphasize or de emphasize leadership, flow, or position. Sum to a raw pulse.
Compression. Pass the raw pulse through a bounded function. Hyperbolic tangent is smooth and has natural saturation near the extremes. Softsign is faster and behaves like a smoother version of sign near zero. Compression avoids unbounded excursions and makes thresholds meaningful across days.
Smoothing. Apply a short EMA to the compressed pulse to reduce noise. This creates the main line called TwinPulse in the plot.
Thresholds. You can use static symmetric levels or adaptive levels. The adaptive option computes a mean and a standard deviation of the smoothed pulse over a user window, then sets upper and lower thresholds as mean plus or minus sigma times standard deviation. This allows thresholds to adjust across regimes. Static levels are still available for traders who want repeatable levels.
Events and mode. A long event fires when the smoothed pulse crosses the upper threshold with positive flow and any optional filters agree. A short event fires on the symmetric condition. The mode reads the current state rather than fire and forget. It returns BUY when the smoothed pulse is above the upper threshold with positive flow, SELL when the smoothed pulse is below the lower threshold with negative flow, otherwise WAIT. A cooldown controls how often events can fire so alerts do not spam during choppy periods.
Inputs and default values
The script ships with defaults chosen for SPY and QQQ on one hour charts.
Symbols. SPY and QQQ by default. You can switch to any pair. Many users may test IWM versus SPY for small cap reads.
Regular hours selector. On by default. This restricts the position factor to New York regular hours. Turn it off if you prefer full session behavior.
ROC length is three bars. Z score length is fifty bars. VWAP slope window is ten bars. ATR length is fourteen bars. Pulse smoothing length is three bars.
Compression mode. Choose hyperbolic tangent or softsign. Hyperbolic tangent is default.
Weights. Leadership and flow are one by default. Position is set to zero point seven to give a modest influence to where price sits inside the day.
Thresholds. Adaptive thresholds are on by default with a lookback of one hundred bars and a sigma width of zero point eight. Static levels at plus or minus zero point six are ready if you disable adaptive mode.
Filters. ADX filter is off by default. If you enable it, the script requires ADX above a user minimum before it will signal. Higher time frame confirmation is off by default. When enabled it compares the smoothed pulse on the confirm timeframe to zero and requires alignment for longs or shorts.
Cooldown. Three bars by default so that alerts do not trigger too frequently.
UI. Bar coloring is on by default. The panel is on by default and sits at the top right.
All request security calls use lookahead off and will not request future data. All persistent state variables are assigned in a way that prevents repainting. The indicator does not use non standard chart types in its logic.
How to use the indicator
Load a one hour chart of SPY or QQQ. Keep a clean chart so that the script output is easy to read.
Turn on regular hours if you want the session position to reflect the cash session. This is recommended for SPY and QQQ.
Watch the panel. Mode reads BUY or SELL or WAIT. The strength value is a simple vote based score that ranges from zero to one hundred. It counts leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. You can use strength to filter weak states.
Consider action only when mode is BUY or SELL and the signal has not just fired on the last bar. The triangles mark where an event fired. Alerts use the same logic as the events. WAIT means stand aside.
To slow the system, enable ADX and set a higher minimum or enable higher time frame confirmation. To speed it up, disable the filters, disable adaptive thresholds, or tighten the sigma width.
When publishing, use a clean chart with only this indicator. Show the symbol and timeframe clearly and make sure the plot legend is visible. If you add drawings on the chart, only include ones that help readers understand the output.
Publication notes and compliance
This description is written in English. The title uses ASCII and only uses capital letters for common abbreviations. The script is original and explains how and why the components work together. There are no links or promotional material. The script does not claim performance. It does not use lookahead. The panel and alerts exist to help a human read and act with discipline. The indicator can be published as open source or as protected. If you choose protected, the description still allows readers to understand how the logic works without access to the code.
If you later convert the logic into a strategy for publication, use realistic commission and slippage, risk no more than a small share of equity per trade, and choose a dataset that yields a large enough sample. Explain any deviations from these default recommendations in your strategy description. Do not publish results from non standard chart types since they can mislead readers on signal timing.
Limitations and risks
Intermarket leadership is a relative measure. There are hours when both SPY and QQQ fall while leadership remains positive. Treat leadership as a context, not a stand alone trigger.
VWAP slope is a path measure inside the session. It can flip several times on a choppy day. That is why the script uses a short smoothing and an optional cooldown. Use ADX or higher time frame confirmation to avoid the worst chop.
Session position assumes a meaningful regular hours range. On half days or around openings with gaps the position factor can be less informative. If this bothers you, reduce the weight of position or turn it off.
Compression and smoothing introduce lag by design. The goal is stability and clarity. If you want earlier but noisier signals, reduce smoothing and weights, and use static thresholds.
No indicator guarantees future results. TwinPulse Q Lead is a decision aid. It should be combined with your risk rules, position size policy, and a clear exit plan. Past behavior is not a promise for the future.
Frequently asked questions
What symbols are supported. Any symbol can be used as the chart symbol. Leadership uses the two user symbols which default to SPY and QQQ. Many traders may try IWM versus SPY or DIA versus SPY.
Can I change the timeframe. Yes, but the design target is one hour. On very short timeframes the VWAP slope becomes very sensitive and you should consider stronger filters.
Does the script repaint. No. It uses request security with lookahead off and the panel updates on the last bar only. Events are based on bar close conditions unless you attach alerts on any alert function call which will still respect the logic without looking into the future.
How are the strength numbers built. The strength score is the share of aligned votes across leadership, flow, ADX if enabled, and higher time frame confirmation if enabled. A value near one hundred means many filters agree. A value near fifty means partial alignment. It is not a probability or an accuracy number.
Can I use non standard chart types. You can view the indicator on them but do not publish signals from non standard chart types because that can mislead readers about timing. Use classic candles or bars when you publish and when you test.
Why do I sometimes see BUY but the price is not moving. A BUY mode requires pulse above the upper threshold and positive flow. It does not require higher highs immediately. Treat BUY as a permission to look for entries using your own execution rules.
Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence
Summary
Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone.
Motivation: Why this design?
Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past.
What’s different vs. standard approaches?
Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds.
Architecture differences:
Wilder-style recursive smoothing on true range and directional movement.
Streak counters for positive and negative pressure that advance only on strengthening and dominance.
Windowed normalization and gamma shaping for visual intensity.
Wick coloring via `plotcandle` with forced overlay from a pane indicator.
Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips.
How it works (technical)
1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks.
2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward.
3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets.
4. Trend score and color base: The difference between positive and negative streaks defines the active side.
5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized.
6. Rendering:
Two column plots show positive and negative streak counts in the pane with gradient colors.
A square marker at the bottom uses the global gradient as a compact heat cue.
Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles.
Wick, border, and candle overlays are colored via `plotcandle` with forced overlay.
7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution.
Parameter Guide
Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring.
Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered.
ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later.
OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk.
Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars.
Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays.
Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity.
Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler.
Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them.
Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity.
Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through.
Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme.
Reading & Interpretation
Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence.
Gradient marker: The bottom square indicates the active side and persistence strength at a glance.
Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure.
Practical Workflows & Combinations
Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows.
Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity.
Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity.
Behavior, Constraints & Performance
Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates.
security()/HTF: Not used; cross-timeframe repaint paths do not apply.
Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous.
Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts.
Sensible Defaults & Quick Tuning
Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight.
Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA.
Too sluggish: Decrease ADX smoothing and the normalization window.
Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones.
What this indicator is—and isn’t
This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls.
Disclaimer
The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Precision AI Trading ProPrecision AI Trading Pro — TradingView Indicator
EN / 中文雙語說明(No promo, high-level logic, originality stated)
What it does |用途
EN
Trend-aligned entries on 5m/15m (and higher) using multi-layer confirmations. It emphasizes confirmation over prediction, then derives adaptive TP/SL from volatility and recent structure.
中文
在 5/15 分鐘(與更高時框)進行趨勢對齊進場,重確認、不猜轉折;並依波動與近期結構自適應計算 TP/SL。
Why it’s original & useful |原創性與價值
EN
This script implements a custom 11-filter confluence engine and a volatility-aware exit model. Filters are designed to complement each other: HTF context narrows bias, LTF structure checks timing, momentum/volume validate strength, and regime gates avoid chop. Exits use ATR- and swing-based distances with caps to keep results realistic.
中文
本腳本自研 11 重共振濾網 與 隨波動調整的出場模型:HTF 提供方向偏好,LTF 結構掌握時點;動能/量能驗證有效性;型態/趨勢強度門檻過濾震盪;出場以 ATR 與擺動區間計算距離並設上限,使績效更貼近實際。
How it works (high-level) |高層級運作
EN
HTF alignment: EMA(3/8/21) + RSI/MACD on a higher timeframe (confirmed bars only) sets directional bias.
LTF structure: Requires local EMA(3/8/21) alignment, Structure Breakout (recent swing ± ATR buffer), and optional Pullback to EMA8/21.
Regime checks: ADX gate and EMA band width filter out low-trend conditions; Volume confirms pressure.
Risk layer: Peak Guard (overheat/new-high/surge) blocks extended entries.
Trendline/EMA200: Optionally require EMA200 or TL breakout with ATR tolerance.
Exits: SL = max(ATR×k, swing buffer, % floor); TP = min(R×SL, ATR/% caps).
No look-ahead: HTF uses confirmed bars; pivots only annotate context, not used as entry triggers.
中文
HTF 共振:高階時框 EMA(3/8/21)+RSI/MACD(僅採用確認棒)決定方向偏好。
LTF 結構:要求本階 EMA(3/8/21) 一致、結構突破(近期高低點 ± ATR 緩衝),並可選 回踩 EMA8/21。
市況門檻:ADX 閘 與 EMA 帶寬 排除低趨勢環境;量能 驗證推進力。
風險層:Peak Guard(過熱/創高/急漲)避免追價。
趨勢線/EMA200:可選擇要求 EMA200 或趨勢線突破(含 ATR 容忍帶)。
出場:SL = max(ATR×k, 擺動緩衝, % 下限);TP = min(R×SL, ATR/% 上限)。
避免前視:HTF 僅用確認棒;樞紐點僅作標註,不作入場條件。
Filters (11) |濾網(11 項)
HTF Trend / Bright Zone (RSI) / LTF EMA(3/8/21) / MACD / Volume / ADX Gate / Structure Breakout / Pullback to EMA / EMA Band Width / Peak Guard / Trendline or EMA200 Confirmation
(高階趨勢/RSI 亮區/本階 EMA 結構/MACD/量能/ADX 閘/結構突破/回踩 EMA/EMA 窄帶/高位防護/趨勢線或 EMA200 確認)
User can define required passes (default 7).|可自訂需通過的濾網數(預設 7)。
Features |功能
Multi-market presets (Crypto / Gold / US Futures / Forex)|多市場預設
Adaptive TP/SL with labels (dynamic R:R)|自適應 TP/SL(含標註)
Risk-based star rating (0★–5★)|風險星級評分
Signal modes: Conservative / Balanced / Aggressive|訊號模式:保守/平衡/積極
Peak Guard toggle|高位防護可切換
How to use |使用方式
Pick market preset; start with 5m/15m.
Set required filters (default 7) and enable HTF confirmed bars.
Tune TP/SL and risk per symbol/timeframe; use star rating as visual guidance.
In choppy markets, raise ADX min and EMA-band threshold; in trend, relax them slightly.
選擇市場預設(建議 5/15 分鐘起)。
設定需通過的濾網數(預設 7),並啟用 HTF 確認棒。
依商品/時框微調 TP/SL 與風險;以星級作視覺參考。
震盪市提高 ADX 與帶寬門檻;趨勢市可適度放寬。
Notes |注意
Backtest behavior depends on bar resolution and fill rules; intrabar path may differ from live fills.
Educational use only; not financial advice.
No ads/links/contacts.
Changelog |版本紀錄(示例,請用「Update」維護)
2025-09-05: Reversal v2.1 scoring & 2-step confirmation; TL rejection/OB-touch trigger (optional); EMA8 recapture via close; Peak Guard integrated; BTC/ETH/SOL presets refined; alerts expanded; label params cleaned.
2025-08-28: Fixed decimal bug; tuned presets for four markets; kept auto RR/SL logic.






















