80/20 Rule IndicatorIf you have not heard of the 80/20 rule then you are probably living under a rock =).
I took this idea and applied it to total loss percentage from the last known high. As it turns out, after about 80 percent losses on an asset it almost 'always' recovers. Perhaps the theory on this being that 20 percent will just hold on for dear life and never sell =).
For assets that are more established they tend to hit the midline around 40% as good buy zones, like APPL for example, but even APPL (Apple Inc.) in it's infant years hit 80 percent at times and they were always good buy zones. You can see something similar with BTC (Bitcoin) as well.
With the possibility of an upcoming crash in the years ahead you can use this indicator for the asset you are exploring to know with confidence you are buying at a good price zone.
This indicator is obviously meant for long term trading (daily chart or higher). You can use this to look for patterns for how long all-time high's last as well as an idea of when to sell out as well. This gives you a really good overall picture of the asset and it's current position in the price action and where it might be headed.
Search in scripts for "股价在8元左右净利润为正市值小于80亿的热门股票有哪些"
80-20 Intraday Trading System System based on daily chart when have 80-20 candles @ supply or demand areas
During next session using intraday charts (60or15min) setup occurs
80/20 14 RSIThe default RSI (14) set up with Pareto (80/20 for overbought and oversold).
The background color is turning green and red as buy & sell signals
RSI 20/80 Arrows + AlertsRSI 20/80 Arrows + Alerts
This indicator is a modified Relative Strength Index (RSI) tool designed to help traders spot potential overbought and oversold conditions using customizable threshold levels (default 80 for overbought, 20 for oversold).
Features:
Custom RSI Levels – Default to 80/20 instead of the standard 70/30, but fully adjustable by the user.
Visual Signals –
Blue Arrow Up appears below the bar when RSI crosses up from below the oversold level (potential buy zone).
Red Arrow Down appears above the bar when RSI crosses down from above the overbought level (potential sell zone).
Alerts Built In – Receive notifications when either signal occurs, with the option to confirm signals only on bar close for reduced noise.
Guide Levels – Optionally display overbought/oversold reference lines on the chart for quick visual reference.
Overlay Mode – Signals are plotted directly on the price chart, so you don’t need to switch between chart windows.
Use Case:
Ideal for traders who want quick, visual confirmation of potential turning points based on RSI, especially in strategies where more extreme levels (like 20/80) help filter out weaker signals. Works well across all markets and timeframes.
WMA 5/10/30/40/80/1006 WMAs on the chart: 5, 10, 30, 40, 80, and 100 — each in its own color.
This indicator plots multiple Weighted Moving Averages (WMA) on the price chart: 5, 10, 30, 40, 80, and 100.
Shorter WMAs (5 & 10) react quickly to price changes and are useful for short-term trend detection.
Longer WMAs (30, 40, 80, 100) help identify medium- to long-term trends and dynamic support/resistance zones.
Traders often watch for crossovers between short-term and long-term WMAs as potential trade signals.
Momentum (80) + ATR (14)his indicator combines two essential technical analysis tools in a single panel for enhanced market insight:
🔹 Momentum (80 periods): Measures the difference between the current price and the price 80 bars ago. Displayed as a semi-transparent filled area, it helps to visually identify shifts in price momentum over a longer timeframe.
🔸 ATR (Average True Range, 14 periods): Shown as a fine orange line, the ATR represents average market volatility over 14 periods, highlighting phases of calm or increased price fluctuations.
By viewing both momentum and volatility simultaneously, traders can better assess trend strength and market conditions, improving decision-making across assets such as stocks, forex, and cryptocurrencies.
✅ Suitable for all asset types
✅ Complements other indicators like RSI, MACD, and Bollinger Bands
✅ Categorized under Momentum & Volatility indicators
41-80 F&O MA ScreenerThis Pine Script is a TradingView indicator named "41-80-F&O EMA Screener." It calculates and displays four moving averages (MA1, MA2, MA3, and MA4) and the Relative Strength Index (RSI) on a chart. The script generates buy and short signals based on certain conditions involving the moving averages and RSI. Additionally, it includes a screener section that displays a table of symbols with buy and short signals.
Here's a breakdown of the key components:
Moving Averages (MAs):
MA1: Simple Moving Average with length len1 (green line).
MA2: Simple Moving Average with length len2 (red line).
MA3: Simple Moving Average with length len3 (orange line).
MA4: Simple Moving Average with length len4 (black line).
Relative Strength Index (RSI):
The RSI is calculated with a length of rsiLengthInput and a source specified by rsiSourceInput.
Conditions for Buy and Short Signals:
Buy Signal: When MA1 is above MA2 and MA3, and RSI is above 50.
Short Signal: When MA1 is below MA2 and MA3, and RSI is below 50.
Signal Plots:
Buy signals are plotted as "B" below the corresponding bars.
Short signals are plotted as "S" above the corresponding bars.
Background Coloring:
Bars are colored based on their opening and closing prices.
Screener Section:
The script defines a watchlist (gticker) with 40 predefined symbols.
It then calls the getSignal function for each symbol to identify buy and short signals.
The results are displayed in a table with long signals in green and short signals in red.
Table Theming:
The script allows customization of the table's background, frame, and text colors, as well as the text size.
The table's location on the chart can also be customized.
Please note that the script uses the Mozilla Public License 2.0. Make sure to review and comply with the terms of this license if you plan to use or modify the script.
Rounded Forex Levels: Big-Figure, Mid-Figure, 80-20 levels, BFRNSimple indicator to show Rounded levels in typical Forex pairs: Big figure, Mid-figure, 80-20 Insitutional Levels, 10pip levels, 5pip levels
Wrote this indicator because other ones out there seem to clutter the chart. This is simple, low-clutter and can be set by user to have arbitrary start and end points for the lines.
I wanted the ability for lines to plot discreetly to the right hand side of price as in the chart above, since in my opinion, these are only of secondary consideration to a trader, an extra confirmation/confluence to an existing idea.
//Purpose & Usage:
-Big-figure levels (100pips) & Mid-figure levels (50pips) will have a senstitivity to price, that can be an additional tool when looking for confluence for a target or an entry.
-As well as BF levels and MF levels; Institutional levels (20pips below and 20 pips above a Big Figure level) and standard 10pip or 5pip levels, can be useful in the right context (i.e added confirmation that of a minor sweep target; added conviction in an idea if the level aligns with another seperately derived level).
//User inputs:
-Toggle on/off each of the types of level.
-Line spacing: choose pip spacing of lines .
-Number of lines above/below (i.e. setting of 5 will be 11 lines. One central, 5 above, 5 below).
-Formatting: for each class of lines, code by color, style and width (as per the example chart below).
-Line start offset and line end offset: bars forward/back for each of start point and end point. So lines could be spread right across chart; or neatly pushed to the far right or left of the chart.
//Notes:
-Designed for typical Forex pairs with units close to 1.0 (like Eur/Usd, Usd/Cad, Aud/Usd, Gbp/Usd, Eur/Gbp, Nzd/Usd).
-Lines are based from the rounded close of the previous bar, Updating (if applicable) on each new bar.
Demo Plotting levels in the past; Dialog box example display:
EMA Cross 9,21,50,80,200 + Inside barEste script faz o seguinte:
1. Plota 5 EMAs (9,21,50,80,200)
2. Faz crossover da 9x21 e 21x50
3. Colore inside bar em amarelo (é possível ainda colorir diferentemente bullish e bearish inside bar)
Multi Timeframe RSI 80 20 Different with 80 - 20 lines to help catch bottoms on multi time frames. The default was 70 - 30. Changed it to be more artistic the current RSI and 1 day are red the rest are white.
Noro's CryptoBottom Strategy- 80-100% of profitable trades
- low risk
- low profit
- for crypto/fiat
- for W1, D1, H4 timeframe
Trend Bars with Okuninushi Line Filter# Trend Bars with Okuninushi Line Filter: A Powerful Trading Indicator
##TrendSpider Hackathon 2025 Trend Bars with Okuninushi Filter
trendspider.com
##X
x.com
## Introduction
The **Trend Bars with Okuninushi Line Filter** is an innovative technical indicator that combines two powerful concepts: trend bar analysis and the Okuninushi Line filter. This indicator helps traders identify high-quality trending moves by analyzing candle body strength relative to the overall price range while ensuring the price action aligns with the dominant market structure.
## What Are Trend Bars?
Trend bars are candles where the body (distance between open and close) represents a significant portion of the total price range (high to low). These bars indicate strong directional momentum with minimal indecision, making them valuable signals for trend continuation.
### Key Characteristics:
- **Strong directional movement**: Large body relative to total range
- **Minimal upper/lower shadows**: Shows sustained pressure in one direction
- **High conviction**: Represents decisive market action
## The Okuninushi Line Filter
The Okuninushi Line, also known as the Kijun Line in Ichimoku analysis, is calculated as the midpoint of the highest high and lowest low over a specified period (default: 52 periods).
**Formula**: `(Highest High + Lowest Low) / 2`
This line acts as a dynamic support/resistance level and trend filter, helping to:
- Identify the overall market bias
- Filter out counter-trend signals
- Provide confluence for trade entries
## How the Indicator Works
The indicator combines these two concepts with the following logic:
### Bull Trend Bars (Green)
A candle is colored **green** when ALL conditions are met:
1. **Bullish candle**: Close > Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Above trend filter**: Close > Okuninushi Line
### Bear Trend Bars (Red)
A candle is colored **red** when ALL conditions are met:
1. **Bearish candle**: Close < Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Below trend filter**: Close < Okuninushi Line
### Neutral Bars (Gray)
All other candles that don't meet the complete criteria are colored **gray**.
## Customizable Parameters
### Trend Bar Threshold
- **Range**: 10% to 100%
- **Default**: 75%
- **Purpose**: Controls how "strong" a candle must be to qualify as a trend bar
**Threshold Effects:**
- **Low (10-30%)**: More sensitive, catches smaller trending moves
- **Medium (50-75%)**: Balanced approach, filters out most noise
- **High (80-100%)**: Very selective, only captures the strongest moves
### Okuninushi Line Length
- **Default**: 52 periods
- **Purpose**: Determines the lookback period for calculating the midpoint
- **Common Settings**:
- for 15m is 92, per 1 day as 23h*4(15m in 1h)
- for 1h is 115, per 1 week as 5d*23(23h in 1d)
- for 4h is 120, per 1 month as 20d*6
- for 1d is 65, per 3 months
- for 1w is 52, per 1 year
## Trading Applications
### 1. Trend Continuation Signals
- **Green bars**: Look for bullish continuation opportunities
- **Red bars**: Consider bearish continuation setups
- **Gray bars**: Exercise caution, mixed signals
### 2. Market Structure Analysis
- Clusters of same-colored bars indicate strong trends
- Alternating colors suggest choppy, indecisive markets
- Transition from red to green (or vice versa) may signal trend changes
### 3. Entry Timing
- Use colored bars as confirmation for existing trade setups
- Wait for color alignment with your market bias
- Avoid trading during predominantly gray periods
### 4. Risk Management
- Gray bars can serve as early warning signs of weakening trends
- Color changes might indicate appropriate exit points
- Use in conjunction with other risk management tools
## Advantages
1. **Dual Filtering**: Combines momentum (trend bars) with trend direction (Okuninushi Line)
2. **Visual Clarity**: Immediate visual feedback through candle coloring
3. **Customizable**: Adjustable parameters for different trading styles
4. **Versatile**: Works across multiple timeframes and instruments
5. **Objective**: Rule-based system reduces subjective interpretation
## Limitations
1. **Lagging Nature**: Based on historical price data
2. **False Signals**: Can produce whipsaws in choppy markets
3. **Parameter Sensitivity**: Requires optimization for different instruments
4. **Market Conditions**: May be less effective in ranging markets
## Best Practices
### Optimization Tips:
- **Volatile Markets**: Use higher thresholds (80-90%)
- **Steady Trends**: Use moderate thresholds (60-75%)
- **Short-term Trading**: Shorter Okuninushi Line periods (26)
- **Long-term Analysis**: Longer Okuninushi Line periods (104+)
### Combination Strategies:
- Pair with volume indicators for confirmation
- Use alongside support/resistance levels
- Combine with other trend-following indicators
- Consider market context and overall trend direction
## Conclusion
The Trend Bars with Okuninushi Line Filter offers traders a sophisticated yet intuitive way to identify high-quality trending moves. By combining the momentum characteristics of trend bars with the directional filter of the Okuninushi Line, this indicator helps traders focus on the most promising opportunities while avoiding low-probability setups.
Remember that no single indicator should be used in isolation. Always consider market context, risk management, and other technical factors when making trading decisions. The true power of this indicator lies in its ability to quickly highlight periods of strong, aligned price action – exactly what trend traders are looking for.
Martingale Strategy Simulator [BackQuant]Martingale Strategy Simulator
Purpose
This indicator lets you study how a martingale-style position sizing rule interacts with a simple long or short trading signal. It computes an equity curve from bar-to-bar returns, adapts position size after losing streaks, caps exposure at a user limit, and summarizes risk with portfolio metrics. An optional Monte Carlo module projects possible future equity paths from your realized daily returns.
What a martingale is
A martingale sizing rule increases stake after losses and resets after a win. In its classical form from gambling, you double the bet after each loss so that a single win recovers all prior losses plus one unit of profit. In markets there is no fixed “even-money” payout and returns are multiplicative, so an exact recovery guarantee does not exist. The core idea is unchanged:
Lose one leg → increase next position size
Lose again → increase again
Win → reset to the base size
The expectation of your strategy still depends on the signal’s edge. Sizing does not create positive expectancy on its own. A martingale raises variance and tail risk by concentrating more capital as a losing streak develops.
What it plots
Equity – simulated portfolio equity including compounding
Buy & Hold – equity from holding the chart symbol for context
Optional helpers – last trade outcome, current streak length, current allocation fraction
Optional diagnostics – daily portfolio return, rolling drawdown, metrics table
Optional Monte Carlo probability cone – p5, p16, p50, p84, p95 aggregate bands
Model assumptions
Bar-close execution with no slippage or commissions
Shorting allowed and frictionless
No margin interest, borrow fees, or position limits
No intrabar moves or gaps within a bar (returns are close-to-close)
Sizing applies to equity fraction only and is capped by your setting
All results are hypothetical and for education only.
How the simulator applies it
1) Directional signal
You pick a simple directional rule that produces +1 for long or −1 for short each bar. Options include 100 HMA slope, RSI above or below 50, EMA or SMA crosses, CCI and other oscillators, ATR move, BB basis, and more. The stance is evaluated bar by bar. When the stance flips, the current trade ends and the next one starts.
2) Sizing after losses and wins
Position size is a fraction of equity:
Initial allocation – the starting fraction, for example 0.15 means 15 percent of equity
Increase after loss – multiply the next allocation by your factor after a losing leg, for example 2.00 to double
Reset after win – return to the initial allocation
Max allocation cap – hard ceiling to prevent runaway growth
At a high level the size after k consecutive losses is
alloc(k) = min( cap , base × factor^k ) .
In practice the simulator changes size only when a leg ends and its PnL is known.
3) Equity update
Let r_t = close_t / close_{t-1} − 1 be the symbol’s bar return, d_{t−1} ∈ {+1, −1} the prior bar stance, and a_{t−1} the prior bar allocation fraction. The simulator compounds:
eq_t = eq_{t−1} × (1 + a_{t−1} × d_{t−1} × r_t) .
This is bar-based and avoids intrabar lookahead. Costs, slippage, and borrowing costs are not modeled.
Why traders experiment with martingale sizing
Mean-reversion contexts – if the signal often snaps back after a string of losses, adding size near the tail of a move can pull the average entry closer to the turn
Behavioral or microstructure edges – some rules have modest edge but frequent small whipsaws; size escalation may shorten time-to-recovery when the edge manifests
Exploration and stress testing – studying the relationship between streaks, caps, and drawdowns is instructive even if you do not deploy martingale sizing live
Why martingale is dangerous
Martingale concentrates capital when the strategy is performing worst. The main risks are structural, not cosmetic:
Loss streaks are inevitable – even with a 55 percent win rate you should expect multi-loss runs. The probability of at least one k-loss streak in N trades rises quickly with N.
Size explodes geometrically – with factor 2.0 and base 10 percent, the sequence is 10, 20, 40, 80, 100 (capped) after five losses. Without a strict cap, required size becomes infeasible.
No fixed payout – in gambling, one win at even odds resets PnL. In markets, there is no guaranteed bounce nor fixed profit multiple. Trends can extend and gaps can skip levels.
Correlation of losses – losses cluster in trends and in volatility bursts. A martingale tends to be largest just when volatility is highest.
Margin and liquidity constraints – leverage limits, margin calls, position limits, and widening spreads can force liquidation before a mean reversion occurs.
Fat tails and regime shifts – assumptions of independent, Gaussian returns can understate tail risk. Structural breaks can keep the signal wrong for much longer than expected.
The simulator exposes these dynamics in the equity curve, Max Drawdown, VaR and CVaR, and via Monte Carlo sketches of forward uncertainty.
Interpreting losing streaks with numbers
A rough intuition: if your per-trade win probability is p and loss probability is q=1−p , the chance of a specific run of k consecutive losses is q^k . Over many trades, the chance that at least one k-loss run occurs grows with the number of opportunities. As a sanity check:
If p=0.55 , then q=0.45 . A 6-loss run has probability q^6 ≈ 0.008 on any six-trade window. Across hundreds of trades, a 6 to 8-loss run is not rare.
If your size factor is 1.5 and your base is 10 percent, after 8 losses the requested size is 10% × 1.5^8 ≈ 25.6% . With factor 2.0 it would try to be 10% × 2^8 = 256% but your cap will stop it. The equity curve will still wear the compounded drawdown from the sequence that led to the cap.
This is why the cap setting is central. It does not remove tail risk, but it prevents the sizing rule from demanding impossible positions
Note: The p and q math is illustrative. In live data the win rate and distribution can drift over time, so real streaks can be longer or shorter than the simple q^k intuition suggests..
Using the simulator productively
Parameter studies
Start with conservative settings. Increase one element at a time and watch how the equity, Max Drawdown, and CVaR respond.
Initial allocation – lower base reduces volatility and drawdowns across the board
Increase factor – set modestly above 1.0 if you want the effect at all; doubling is aggressive
Max cap – the most important brake; many users keep it between 20 and 50 percent
Signal selection
Keep sizing fixed and rotate signals to see how streak patterns differ. Trend-following signals tend to produce long wrong-way streaks in choppy ranges. Mean-reversion signals do the opposite. Martingale sizing interacts very differently with each.
Diagnostics to watch
Use the built-in metrics to quantify risk:
Max Drawdown – worst peak-to-trough equity loss
Sharpe and Sortino – volatility and downside-adjusted return
VaR 95 percent and CVaR – tail risk measures from the realized distribution
Alpha and Beta – relationship to your chosen benchmark
If you would like to check out the original performance metrics script with multiple assets with a better explanation on all metrics please see
Monte Carlo exploration
When enabled, the forecast draws many synthetic paths from your realized daily returns:
Choose a horizon and a number of runs
Review the bands: p5 to p95 for a wide risk envelope; p16 to p84 for a narrower range; p50 as the median path
Use the table to read the expected return over the horizon and the tail outcomes
Remember it is a sketch based on your recent distribution, not a predictor
Concrete examples
Example A: Modest martingale
Base 10 percent, factor 1.25, cap 40 percent, RSI>50 signal. You will see small escalations on 2 to 4 loss runs and frequent resets. The equity curve usually remains smooth unless the signal enters a prolonged wrong-way regime. Max DD may rise moderately versus fixed sizing.
Example B: Aggressive martingale
Base 15 percent, factor 2.0, cap 60 percent, EMA cross signal. The curve can look stellar during favorable regimes, then a single extended streak pushes allocation to the cap, and a few more losses drive deep drawdown. CVaR and Max DD jump sharply. This is a textbook case of high tail risk.
Strengths
Bar-by-bar, transparent computation of equity from stance and size
Explicit handling of wins, losses, streaks, and caps
Portable signal inputs so you can A–B test ideas quickly
Risk diagnostics and forward uncertainty visualization in one place
Example, Rolling Max Drawdown
Limitations and important notes
Martingale sizing can escalate drawdowns rapidly. The cap limits position size but not the possibility of extended adverse runs.
No commissions, slippage, margin interest, borrow costs, or liquidity limits are modeled.
Signals are evaluated on closes. Real execution and fills will differ.
Monte Carlo assumes independent draws from your recent return distribution. Markets often have serial correlation, fat tails, and regime changes.
All results are hypothetical. Use this as an educational tool, not a production risk engine.
Practical tips
Prefer gentle factors such as 1.1 to 1.3. Doubling is usually excessive outside of toy examples.
Keep a strict cap. Many users cap between 20 and 40 percent of equity per leg.
Stress test with different start dates and subperiods. Long flat or trending regimes are where martingale weaknesses appear.
Compare to an anti-martingale (increase after wins, cut after losses) to understand the other side of the trade-off.
If you deploy sizing live, add external guardrails such as a daily loss cut, volatility filters, and a global max drawdown stop.
Settings recap
Backtest start date and initial capital
Initial allocation, increase-after-loss factor, max allocation cap
Signal source selector
Trading days per year and risk-free rate
Benchmark symbol for Alpha and Beta
UI toggles for equity, buy and hold, labels, metrics, PnL, and drawdown
Monte Carlo controls for enable, runs, horizon, and result table
Final thoughts
A martingale is not a free lunch. It is a way to tilt capital allocation toward losing streaks. If the signal has a real edge and mean reversion is common, careful and capped escalation can reduce time-to-recovery. If the signal lacks edge or regimes shift, the same rule can magnify losses at the worst possible moment. This simulator makes those trade-offs visible so you can calibrate parameters, understand tail risk, and decide whether the approach belongs anywhere in your research workflow.
Combined ATR + VolumeOverview
The Combined ATR + Volume indicator (C-ATR+Vol) is designed to measure both price volatility and market participation by merging the Average True Range (ATR) and trading volume into a single normalized value. This provides traders with a more comprehensive tool than ATR alone, as it highlights not only how much price is moving, but also whether there is sufficient volume behind those moves.
Originality & Utility
Two Key Components
ATR (Average True Range): Measures price volatility by analyzing the range (high–low) over a specified period. A higher ATR often indicates larger price swings.
Volume: Reflects how actively traders are participating in the market. High volume typically indicates strong buying or selling interest.
Normalized Combination
Both ATR and volume are independently normalized to a 0–100 range.
The final output (C-ATR+Vol) is the average of these two normalized values. This makes it easy to see when both volatility and market participation are relatively high.
Practical Use
Above 80: Signifies elevated volatility and strong volume. Markets may experience significant moves.
Around 50–80: Indicates moderate activity. Price swings and volume are neither extreme nor minimal.
Below 50: Suggests relatively low volatility and lower participation. The market may be ranging or consolidating.
This combined approach can help filter out situations where volatility is high but volume is absent—or vice versa—providing a more reliable context for potential breakouts or trend continuations.
Indicator Logic
ATR Calculation
Uses Pine Script’s built-in ta.tr(true) function to measure true range, then smooths it with a user-selected method (RMA, SMA, EMA, or WMA).
Key Input: ATR Length (default 14).
Volume Calculation
Smooths the built-in volume variable using the same selectable smoothing methods.
Key Input: Volume Length (default 14).
Normalization
For each metric (ATR and Volume), the script finds the lowest and highest values over the lookback period and converts them into a 0–100 scale:
normalized value
=(current value−min)(max−min)×100
normalized value= (max−min)(current value−min) ×100
Combined Score
The final plot is the average of Normalized ATR and Normalized Volume. This single value simplifies the process of identifying high-volatility, high-volume conditions.
How to Use
Setup
Add the indicator to your chart.
Adjust ATR Length, Volume Length, and Smoothing to match your preferred time horizon or chart style.
Interpretation
High Values (above 80): The market is experiencing significant price movement with high participation. Potential for strong trends or breakouts.
Moderate Range (50–80): Conditions are active but not extreme. Trend setups may be forming.
Low Values (below 50): Indicates quieter markets with reduced liquidity. Expect ranging or less decisive moves.
Strategy Integration
Use C-ATR+Vol alongside other trend or momentum indicators (e.g., Moving Averages, RSI, MACD) to confirm potential entries/exits.
Combine it with support/resistance or price action analysis for a broader market view.
Important Notes
This script is open-source and intended as a community contribution.
No Future Guarantee: Past market behavior does not guarantee future results. Always use proper risk management and validate signals with additional tools.
The indicator’s performance may vary depending on timeframes, asset classes, and market conditions.
Adjust inputs as needed to suit different instruments or personal trading styles.
By adhering to TradingView’s publishing rules, this script is provided with sufficient detail on what it does, how it’s unique, and how traders can use it. Feel free to customize the settings and experiment with other technical indicators to develop a trading methodology that fits your objectives.
🔹 Combined ATR + Volume (C-ATR+Vol) 지표 설명
이 인디케이터는 ATR(Average True Range)와 거래량(Volume)을 결합하여 시장의 변동성과 유동성을 동시에 측정하는 지표입니다.
ATR은 가격 변동성의 크기를 나타내며, 거래량은 시장 참여자의 활동 수준을 반영합니다. 보통 높은 ATR은 가격 변동이 크다는 의미이고, 높은 거래량은 시장에서 적극적인 거래가 이루어지고 있음을 나타냅니다.
이 두 지표를 각각 0~100 범위로 정규화한 후, 평균을 구하여 "Combined ATR + Volume (C-ATR+Vol)" 값을 계산합니다.
이를 통해 단순한 가격 변동성뿐만 아니라 거래량까지 고려하여, 더욱 신뢰성 있는 변동성 판단을 할 수 있도록 도와줍니다.
📌 핵심 개념
1️⃣ ATR (Average True Range)란?
시장의 변동성을 측정하는 지표로, 일정 기간 동안의 고점-저점 변동폭을 기반으로 계산됩니다.
ATR이 높을수록 가격 변동이 크며, 낮을수록 횡보장이 지속될 가능성이 큽니다.
하지만 ATR은 방향성을 제공하지 않으며, 단순히 변동성의 크기만을 나타냅니다.
2️⃣ 거래량 (Volume)의 역할
거래량은 시장 참여자의 관심과 유동성을 반영하는 중요한 요소입니다.
높은 거래량은 강한 매수 또는 매도세가 존재함을 의미하며, 낮은 거래량은 시장 참여가 적거나 관심이 줄어들었음을 나타냅니다.
3️⃣ ATR + 거래량의 결합 (C-ATR+Vol)
단순한 ATR 값만으로는 변동성이 커도 거래량이 부족할 수 있으며, 반대로 거래량이 많아도 변동성이 낮을 수 있습니다.
이를 해결하기 위해 ATR과 거래량을 각각 0~100으로 정규화하여 균형 잡힌 변동성 지표를 만들었습니다.
두 지표의 평균값을 계산하여, 가격 변동과 거래량이 동시에 높은지를 측정할 수 있도록 설계되었습니다.
📊 사용법 및 해석
80 이상 → 강한 변동성 구간
가격 변동성이 크고 거래량도 높은 상태
강한 추세가 진행 중이거나 큰 변동이 일어날 가능성이 큼
상승/하락 방향성을 확인한 후 트렌드를 따라가는 전략이 유리
50~80 구간 → 보통 수준의 변동성
가격 움직임이 일정하며, 거래량도 적절한 수준
점진적인 추세 형성이 이루어질 가능성이 있음
시장이 점진적으로 상승 혹은 하락할 가능성이 크므로, 보조지표를 활용하여 매매 타이밍을 결정하는 것이 중요
50 이하 → 낮은 변동성 및 유동성 부족
가격 변동이 적고, 거래량도 낮은 상태
시장이 횡보하거나 조정 기간에 들어갈 가능성이 큼
박스권 매매(지지/저항 활용) 또는 돌파 전략을 고려할 수 있음
💡 활용 방법 및 전략
✅ 1. 트렌드 판단 보조지표로 활용
단독으로 사용하는 것보다는 RSI, MACD, 이동평균선(MA) 등의 지표와 함께 활용하는 것이 효과적입니다.
예를 들어, MACD가 상승 신호를 주고, C-ATR+Vol 값이 80을 초과하면 강한 상승 추세로 해석할 수 있습니다.
✅ 2. 변동성 돌파 전략에 활용
C-ATR+Vol이 80 이상인 구간에서 가격이 특정 저항선을 돌파한다면, 강한 추세의 시작을 의미할 수 있습니다.
반대로, C-ATR+Vol이 50 이하에서 가격이 저항선에 가까워지면 돌파 가능성이 낮아질 수 있습니다.
✅ 3. 시장 참여도와 변동성 확인
단순히 ATR만 높아서는 신뢰하기 어려운 경우가 많습니다. 예를 들어, 급등 후 거래량이 급감하면 상승 지속 가능성이 낮아질 수도 있습니다.
하지만 C-ATR+Vol을 사용하면 거래량이 함께 증가하는지를 확인하여 보다 신뢰할 수 있는 분석이 가능합니다.
🚀 결론
🔹 Combined ATR + Volume (C-ATR+Vol) 인디케이터는 단순한 ATR이 아니라 거래량까지 고려하여 변동성을 측정하는 강력한 도구입니다.
🔹 시장이 큰 움직임을 보일 가능성이 높은 구간을 찾는 데 유용하며, 80 이상일 경우 강한 변동성이 있음을 나타냅니다.
🔹 단독으로 사용하기보다는 보조지표와 함께 활용하여, 트렌드 분석 및 돌파 전략 등에 효과적으로 적용할 수 있습니다.
📌 주의사항
변동성이 크다고 해서 반드시 가격이 급등/급락한다는 보장은 없습니다.
특정한 매매 전략 없이 단순히 이 지표만 보고 매수/매도를 결정하는 것은 위험할 수 있습니다.
시장 상황에 따라 변동성의 의미가 다르게 작용할 수 있으므로, 반드시 다른 보조지표와 함께 활용하는 것이 중요합니다.
🔥 이 지표를 활용하여 시장의 변동성과 거래량을 보다 효과적으로 분석해보세요! 🚀
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide
## Overview
The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments.
## How It Works
The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that:
- **High values (80+)** = Narrow channels = Low volatility = Squeeze
- **Low values (20-)** = Wide channels = High volatility = Expansion
## Key Parameters
### Core Settings
- **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels
- **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator
- **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100
### Threshold Levels
- **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions
- **Over Expansion (20)**: Values below this level indicate strong expansion conditions
## Reading the Indicator
### Color Coding
- **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating
- **Orange Line**: Neutral/trending condition with upward momentum
- **Green Line**: Expansion condition or downward momentum
### Visual Elements
- **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone
- **Gray Dotted Line (50)**: Middle line - neutral zone
- **Green Dashed Line (20)**: Expansion threshold - high volatility zone
- **Red Background**: Highlights active squeeze periods
## Trading Applications
### 1. Breakout Trading
- **Setup**: Wait for DSO to reach 80+ (squeeze zone)
- **Entry**: Look for breakouts when DSO starts declining from squeeze levels
- **Logic**: Prolonged low volatility often precedes significant price movements
### 2. Volatility Cycle Trading
- **Squeeze Phase**: DSO > 80 - Prepare for potential breakout
- **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout
- **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal
### 3. Trend Confirmation
- **Orange Color**: Suggests bullish momentum during expansion
- **Green Color**: Suggests bearish momentum or consolidation
- Use in conjunction with price action for trend confirmation
## Best Practices
### Timeframe Selection
- **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts
- **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise
- **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF
### Parameter Optimization
- **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10)
- **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity
- **Trending Markets**: Use longer normalization lookback (300-400)
### Signal Confirmation
Always combine DSO signals with:
- **Price Action**: Support/resistance levels, chart patterns
- **Volume**: Confirm breakouts with increasing volume
- **Other Indicators**: RSI, MACD, or momentum oscillators
## Alert System
The indicator includes built-in alerts for:
- **Squeeze Started**: When DSO crosses above the squeeze threshold
- **Expansion Started**: When DSO crosses below the expansion threshold
## Common Pitfalls to Avoid
1. **False Breakouts**: Don't trade every squeeze - wait for confirmation
2. **Parameter Over-optimization**: Stick to default settings initially
3. **Ignoring Market Context**: Consider overall market conditions and news
4. **Single Indicator Reliance**: Always use additional confirmation tools
## Advanced Tips
- Monitor squeeze duration - longer squeezes often lead to bigger moves
- Look for squeeze patterns at key support/resistance levels
- Use DSO divergences with price for potential reversal signals
- Combine with Bollinger Band squeezes for enhanced accuracy
## Conclusion
The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
Financial Radar Chart by zdmreRadar chart is often used when you want to display data across several unique dimensions. Although there are exceptions, these dimensions are usually quantitative, and typically range from zero to a maximum value. Each dimension’s range is normalized to one another, so that when we draw our spider chart, the length of a line from zero to a dimension’s maximum value will be the similar for every dimension.
This Charts are useful for seeing which variables are scoring high or low within a dataset, making them ideal for displaying performance.
How is the score formed?
Debt Paying Ability
if Debt_to_Equity < %10 : 100
elif < 20% : 90
elif < 30% : 80
elif < 40% : 70
elif < 50% : 60
elif < 60% : 50
elif < 70% : 40
elif < 80% : 30
elif < 90% : 20
elif < 100% : 10
else: 0
ROIC
if Return_on_Invested_Capital > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
ROE
if Return_on_Equity > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
Operating Ability
if Operating_Margin > %50 : 100
elif > 30% : 90
elif > 20% : 80
elif > 15% : 60
elif > 10% : 40
elif > 0 : 20
else: 0
EV/EBITDA
if Enterprise_Value_to_EBITDA < 3 : 100
elif < 5 : 80
elif < 7 : 70
elif < 8 : 60
elif < 10 : 40
elif < 12 : 20
else: 0
FREE CASH Ability
if Price_to_Free_Cash_Flow < 5 : 100
elif < 7 : 90
elif < 10 : 80
elif < 16 : 60
elif < 18 : 50
elif < 20 : 40
elif < 22 : 30
elif < 30 : 20
elif < 40 : 15
elif < 50 : 10
elif < 60 : 5
else: 0
GROWTH Ability
if Revenue_One_Year_Growth > %20 : 100
elif > 16% : 90
elif > 14% : 80
elif > 12% : 70
elif > 10% : 50
elif > 7% : 40
elif > 4% : 30
elif > 2% : 20
elif > 0 : 10
else: 0
Nifty Dashboard//@version=5
//Author @GODvMarkets
indicator("GOD NSE Nifty Dashboard", "Nifty Dashboard")
i_timeframe = input.timeframe("D", "Timeframe")
// if not timeframe.isdaily
// runtime.error("Please switch timeframe to Daily")
i_text_size = input.string(size.auto, "Text Size", )
//-----------------------Functions-----------------------------------------------------
f_oi_buildup(price_chg_, oi_chg_) =>
switch
price_chg_ > 0 and oi_chg_ > 0 =>
price_chg_ > 0 and oi_chg_ < 0 =>
price_chg_ < 0 and oi_chg_ > 0 =>
price_chg_ < 0 and oi_chg_ < 0 =>
=>
f_color(val_) => val_ > 0 ? color.green : val_ < 0 ? color.red : color.gray
f_bg_color(val_) => val_ > 0 ? color.new(color.green,80) : val_ < 0 ? color.new(color.red,80) : color.new(color.black,80)
f_bg_color_price(val_) =>
fg_color_ = f_color(val_)
abs_val_ = math.abs(val_)
transp_ = switch
abs_val_ > .03 => 40
abs_val_ > .02 => 50
abs_val_ > .01 => 60
=> 80
color.new(fg_color_, transp_)
f_bg_color_oi(val_) =>
fg_color_ = f_color(val_)
abs_val_ = math.abs(val_)
transp_ = switch
abs_val_ > .10 => 40
abs_val_ > .05 => 50
abs_val_ > .025 => 60
=> 80
color.new(fg_color_, transp_)
f_day_of_week(time_=time) =>
switch dayofweek(time_)
1 => "Sun"
2 => "Mon"
3 => "Tue"
4 => "Wed"
5 => "Thu"
6 => "Fri"
7 => "Sat"
//-------------------------------------------------------------------------------------
var table table_ = table.new(position.middle_center, 22, 20, border_width = 1)
var cols_ = 0
var text_color_ = color.white
var bg_color_ = color.rgb(1, 5, 19)
f_symbol(idx_, symbol_) =>
symbol_nse_ = "NSE" + ":" + symbol_
fut_cur_ = "NSE" + ":" + symbol_ + "1!"
fut_next_ = "NSE" + ":" + symbol_ + "2!"
= request.security(symbol_nse_, i_timeframe, [close, close-close , close/close -1, volume], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_cur_, i_timeframe, , ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_next_, i_timeframe, , ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_cur_ + "_OI", i_timeframe, [close, close-close ], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
= request.security(fut_next_ + "_OI", i_timeframe, [close, close-close ], ignore_invalid_symbol = true, lookahead = barmerge.lookahead_on)
stk_vol_ = stk_vol_nse_
fut_vol_ = fut_cur_vol_ + fut_next_vol_
fut_oi_ = fut_cur_oi_ + fut_next_oi_
fut_oi_chg_ = fut_cur_oi_chg_ + fut_next_oi_chg_
fut_oi_chg_pct_ = fut_oi_chg_ / fut_oi_
fut_stk_vol_x_ = fut_vol_ / stk_vol_
fut_vol_oi_action_ = fut_vol_ / math.abs(fut_oi_chg_)
= f_oi_buildup(chg_pct_, fut_oi_chg_pct_)
close_color_ = fut_cur_close_ > fut_vwap_ ? color.green : fut_cur_close_ < fut_vwap_ ? color.red : text_color_
if barstate.isfirst
row_ = 0, col_ = 0
table.cell(table_, col_, row_, "Symbol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Close", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "VWAP", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Pts", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Stk Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Fut Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Fut/Stk Vol", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Cur", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Next", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Cur Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Next Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI ", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Vol/OI Chg", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "COI Chg%", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "Pr.Chg%", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
table.cell(table_, col_, row_, "OI Buildup", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size), col_ += 1
cell_color_ = color.white
cell_bg_color_ = color.rgb(1, 7, 24)
if barstate.islast
row_ = idx_, col_ = 0
table.cell(table_, col_, row_, str.format("{0}", symbol_), text_color = f_color(chg_pct_), bgcolor = f_bg_color_price(chg_pct_), text_size = i_text_size, text_halign = text.align_left), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#.00}", fut_cur_close_), text_color = close_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#.00}", fut_vwap_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", chg_pts_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", stk_vol_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_vol_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", fut_stk_vol_x_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_cur_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_next_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_cur_oi_chg_), text_color = f_color(fut_cur_oi_chg_), bgcolor = f_bg_color(fut_cur_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_next_oi_chg_), text_color = f_color(fut_next_oi_chg_), bgcolor = f_bg_color(fut_next_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_oi_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,#,###}", fut_oi_chg_), text_color = f_color(fut_oi_chg_), bgcolor = f_bg_color(fut_oi_chg_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00}", fut_vol_oi_action_), text_color = cell_color_, bgcolor = cell_bg_color_, text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00%}", fut_oi_chg_pct_), text_color = f_color(fut_oi_chg_pct_), bgcolor = f_bg_color_oi(fut_oi_chg_pct_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0,number,0.00%}", chg_pct_), text_color = f_color(chg_pct_), bgcolor = f_bg_color_price(chg_pct_), text_size = i_text_size, text_halign = text.align_right), col_ += 1
table.cell(table_, col_, row_, str.format("{0}", oi_buildup_), text_color = oi_buildup_color_, bgcolor = color.new(oi_buildup_color_,80), text_size = i_text_size, text_halign = text.align_left), col_ += 1
idx_ = 1
f_symbol(idx_, "BANKNIFTY"), idx_ += 1
f_symbol(idx_, "NIFTY"), idx_ += 1
f_symbol(idx_, "CNXFINANCE"), idx_ += 1
f_symbol(idx_, "RELIANCE"), idx_ += 1
f_symbol(idx_, "HDFC"), idx_ += 1
f_symbol(idx_, "ITC"), idx_ += 1
f_symbol(idx_, "HINDUNILVR"), idx_ += 1
f_symbol(idx_, "INFY"), idx_ += 1
Trendlines Boll Ichi S1 by GammaprodI. How to use this indicator :
------------------------------
I.1. Set your teadingview theme to dark theme.
I.2. Gammaprod indicator is valid for forex, stock and but more valid for crypto.
I.3. Use three timeframe for more validation (choose between those, that fit to your trading style) :
- Timeframe 1m, 5m, and 15m for Scalping
- Timeframe 30m, 1h and 4h for Intraday
- Timeframe 4h, 1D and 1W for Swing Trading
I.4 Always use THREE INDICATORS FROM GAMMAPROD, those three indicators is back to back each other, by the way, I only made those three indicators only (for now) :
- Trendlines Boll Ichi S1 by Gammaprod
- MACD Volume S2 by Gammaprod
- Stoch RSI Divs Zone S2 by Gammaprod
============================================================================
II. How to setting :
--------------------
II.1. Trendlines Boll Ichi Crypto by Gammaprod
II.1.A. Support and Resistance
- Well if you familiar with this indicator you can add it, but recommended for Timeframe 30m or more
II.1.B. Trendlines Primary or Trendlines Secondary
- Timeframe 1m you DON'T NEED Trendlines Primary or Trendlines Secondary
- Timeframe 5m you DON'T NEED Trendlines Secondary, but you CAN ADD Trendlines Primary if you fell it helpful (for me, it is helpful to find where the candles start or the end trend or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 15m you DON'T NEED Trendlines Secondary, DEFENITELY add Trendlines Primary it will help to find where the candles stop or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 30m or more, DEFENITELY NEED BOTH Trendlines Primary and Secondary Trendlines, it will help to find where the candle stop or consolidation or where the candle will surpass a resistance or support).
II.1.C. Bollinger, Ichimoku Cloud and Lagging Span
- Please DON'T CHANGE IT at all, it's really helpful to know when and where to make an entry decesion or a trend or a consolidation, if you don't understand how to read it, you better to learn it first (on "how to read" section and "How to OPEN position" the section below)
II.2. Stoch RSI Divs Zone Crypto by Gammaprod (DON'T CHANGE IT)
II.3. MACD Volume Crypto by Gammaprod (DON'T CHANGE IT)
============================================================================
III. How to read :
------------------
III.1. Sell or Buy Priority :
III.1.A. Sell Priority
- Color background on macd and stoch rsi is pink or purple sell is the priority, (if you're not sure to buy, just wait until the best moment to sell)
III.1.B. Buy Priority
- Color background on macd and stoch rsi Teal or light green buy is the priority, (if you're not sure to sell, just wait until the best moment to buy)
III.1.C. Indecision / Golden Moment
- Color background on stoch rsi yellow is indecision / golden moment of reversal pattern (wait until it formed background only on Stoch RSI), please be careful at this moment.
III.2. Trend / Consolidation :
III.2.A. BULLISH trend
- When Stoch RSI and MACD have teal or light green background that's means BULLISH trend, better to confirm by the candle is above green cloud and lagging span (red line) is also above the candle.
III.2.B. BEARISH trend
- When Stoch RSI and MACD have the Pink or purple background that's means BEARISH trend, better to confirm by the candle is above purple cloud and lagging span (red line) is also below the candle.
III.2.C. CONSOLIDATION
- When Stoch RSI have the mix background that's means CONSOLIDATION, better to confirm by the candle is in or near to green / purple cloud and lagging span (red line) is also on the candle.
III.3. Special Mark
III.3.A. Ideal Bullish :
- Near line 20 and green / teal background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for buy
III.3.B. Not an Ideal Bullish :
- Near line 80 and green / teal background = if this happens make sure you know what happen, it could be a false signal or bullish continual pattern
III.3.C. Ideal Bearish :
- Near line 80 and pink / purple background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for sell position.
III.3.D. Not an Ideal Bearish:
- Near line 20 and pink / purple background = if this happens make sure you know what happen, it could be a false signal or bearish continual pattern
III.3.E. The Beginning of Reversal (from BEARISH to BULLISH) :
- When Stoch RSI line shaping GREEN position is near 20.
- MACD lines still PINK, position lines is UNDER the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL PINK (light pink) and the BACKGROUND still PINK / PURPLE.
- Position CANDLES NEAR BLUE line, NEAR PURPLE CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
III.3.F. The Beginning of Reversal (from BULLISH to BEARISH) :
- When Stoch RSI line shaping PINK position is near 80.
- MACD lines still GREEN, position lines is ABOVE the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL GREEN (light green) and the BACKGROUND still TEAL / GREEN.
- Position CANDLES NEAR WHITE line, NEAR TEAL CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
III.3.G. False Signals, or It could be a Golden Moment (better to see it on TF 15 or bigger):
- Near line 20 or 80 and yellow background = When Stoch RSI have the char R / H on color label, that's means divergence or hidden divergence for buy / sell position, if you not see this label that's means just a standard confirmation for buy / sell depends on where the Stoch RSI line if near 20 that's means buy, near 80 means sell
============================================================================
IV. How to OPEN position:
-------------------------
IV.1. Bullish
IV.1.A. Trendlines Boll Ichi S1 by Gammaprod
- The candles above the green cloud.
- Lagging span (red line) above the candles.
- then open buy near yellow line (the first option) / blue line (the second option) (always confirm the position with two other indicators below).
IV.1.B. MACD Volume S2 by Gammaprod
- Teal or Green background.
- The lines is shaped or shaping green.
- Better if at the green histogram.
IV.1.C. Stoch RSI Divs Zone S3 by Gammaprod
- Teal or Green background.
- The lines is shaping green.
- Better if on the bottom (at a range 20).
IV.2. Bearish
IV.2.A. Trendlines Boll Ichi S1 by Gammaprod
- The candles below the purple cloud.
- Lagging span (red line) below the candles.
- then open buy near yellow line (the first option) / white line (the second option) (always confirm the position with two other indicators below).
IV.2.B. MACD Volume S2 by Gammaprod
- Pink or purple background.
- The lines are shaped or shaping green.
- Better if at the pink histogram.
IV.2.C. Stoch RSI Divs Zone S3 by Gammaprod
- Pink or purple background.
- The lines are shaping pink.
- Better if the line on the top (at a range 80).
IV.3. Consolidation
IV.3.A. Trendlines Boll Ichi S1 by Gammaprod
- The candles on the cloud (green or purple).
- Lagging span (red line) on the candles.
- then open buy near the white or blue line (always confirm the position with two other indicators below).
IV.3.B. MACD Volume S2 by Gammaprod
- Changing the background.
- The line is near the middle line.
- Have small Histogram.
IV.3.C. Stoch RSI Divs Zone S3 by Gammaprod
- Mix background specially on a timeframe 15m or more.
- The line move fast up and down.
- Better if on the bottom or the top of the lines (at a range 20 or 80).
============================================================================
>> The secret ingredient is comparing the timeframe :
The example scalping (Timeframe 1m, 5m and 15m)
- TF 1m is for making an open position.
- TF 5m is for making a judgement of the trend market.
- TF 15m is to confirm that judgement from TF 5m, be careful if it not similar then it used to be a consolidation or the beginning of the reversal.
There's a lot a way to open the position than above information that i gave it to you, but consider there are a limit chars on this column, I hope it will help your trading and make a more profit on it.
MACD Volume S2 By Gammaprod>> How to use this indicator :
1. Set your teadingview theme to dark theme.
2. My indicator is valid for forex, stock and but more valid for crypto.
3. Use three timeframe for more validation (choose between those, that fit to your trading style) :
- Timeframe 1m, 5m, and 15m for Scalping
- Timeframe 30m, 1h and 4h for Intraday
- Timeframe 4h, 1D and 1W for Swing Trading
4 . Always use THREE INDICATORS FROM GAMMAPROD, those three indicators is back to back each other, by the way, I only made those three indicators only (for now) :
- Trendlines Boll Ichi Crypto by Gammaprod
- Stoch RSI Divs Zone Crypto by Gammaprod
- MACD Volume Crypto by Gammaprod
>> How to setting :
1. Trendlines Boll Ichi Crypto by Gammaprod
A. Support and Resistence
- Well if you familiar with this indicator you can add it, but recommended for Timeframe 30m or more
B. Trendlines Primary or Trendlines Secondary
- Timeframe 1m you DON'T NEED Trendlines Primary or Trendlines Secondary
- Timeframe 5m you DON'T NEED Trendlines Secondary, but you CAN ADD Trendlines Primary if you fell it helpful (for me, it is helpful to find where the candles start or the end trend or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 15m you DON'T NEED Trendlines Secondary, DEFENITELY add Trendlines Primary it will help to find where the candles stop or a consolidation or where the candles will surpass a resistance or a support).
- Timeframe 30m or more, DEFENITELY NEED BOTH Trendlines Primary and Secondary Trendlines, it will help to find where the candle stop or consolidation or where the candle will surpass a resistance or support).
C. Bolinger, Ichimoku Cloud and Lagging Span
- Please DON'T CHANGE IT at all, it's really helpful to know when and where to make an entry decesion or a trend or a consolidation, if you don't understand how to read it, you better to learn it first (on "how to read" section and "How to OPEN position" the section below)
2. Stoch RSI Divs Zone Crypto by Gammaprod (DON'T CHANGE IT)
3. MACD Volume Crypto by Gammaprod (DON'T CHANGE IT)
>> How to read :
1. Sell or Buy Priority :
A. Buy Priority
- Color background on macd and stoch rsi is pink or purple sell is the priority, (if you're not sure to buy, just wait until the best moment to sell)
B. Buy Priority
- Color background on macd and stoch rsi Teal or light green buy is the priority, (if you're not sure to sell, just wait until the best moment to buy)
C. Indecision / Golden Moment
- Color background on stoch rsi yellow is indecision / golden moment of reversal pattern (wait until it formed background only on Stoch RSI), please becareful at this moment.
2. Trend / Consolidation :
A. BULLISH trend
- When Stoch RSI and MACD have teal or light green background that's means BULLISH trend, better to confirm by the candle is above green cloud and lagging span (red line) is also above the candle.
B. BEARISH trend
- When Stoch RSI and MACD have the Pink or purple background that's means BEARISH trend, better to confirm by the candle is above purple cloud and lagging span (red line) is also below the candle.
C. CONSOLIDATION
- When Stoch RSI have the mix background that's means CONSOLIDATION, better to confirm by the candle is in or near to green / purple cloud and lagging span (red line) is also on the candle.
3. Special Mark
A. Ideal Bullish :
- Near line 20 and green / teal background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for buy
B. Not an Ideal Bullish :
- Near line 80 and green / teal background = if this happens make sure you know what happen, it could be a false signal or bullish continual pattern
C. Ideal Bearish :
- Near line 80 and pink / purple background = When Stoch RSI have the char R / H on lime color label, that's means divergence or hidden divergence for buy position, if you not see this label that's means just a standard confirmation for sell position.
D. Not an Ideal Bearish:
- Near line 20 and pink / purple background = if this happens make sure you know what happen, it could be a false signal or bearish continual pattern
E. The Beginning of Reversal (from BEARISH to BULLISH) :
- When Stoch RSI line shaping GREEN position is near 20.
- MACD lines still PINK, position lines is UNDER the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL PINK (light pink) and the BACKGROUND still PINK / PURPLE.
- Position CANDLES NEAR BLUE line, NEAR PURPLE CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
F. The Beginning of Reversal (from BULLISH to BEARISH) :
- When Stoch RSI line shaping PINK position is near 80.
- MACD lines still GREEN, position lines is ABOVE the HISTOGRAM, but the HISTOGRAM start to SHAPE FALL GREEN (light green) and the BACKGROUND still TEAL / GREEN.
- Position CANDLES NEAR WHITE line, NEAR TEAL CLOUD, and lagging span (red line) STILL ON the area candle. (it used to be confirmed with the golden moment).
G. False Signals, or It could be a Golden Moment (better to see it on TF 15 or bigger):
- Near line 20 or 80 and yellow background = When Stoch RSI have the char R / H on color label, that's means divergence or hidden divergence for buy / sell position, if you not see this label that's means just a standard confirmation for buy / sell depends on where the Stoch RSI line if near 20 that's means buy, near 80 means sell
>> How to OPEN position:
A. Bullish
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles above the green cloud.
- Lagging span (red line) above the candles.
- then open buy near yellow line (the first option) / blue line (the second option) (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Teal or Green background.
- The lines is shaping green.
- Better if on the bottom (at a range 20).
3. MACD Volume Crypto by Gammaprod
- Teal or Green background.
- The lines is shaped or shaping green.
- Better if at the green histogram.
B. Bearish
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles below the purple cloud.
- Lagging span (red line) below the candles.
- then open buy near yellow line (the first option) / white line (the second option) (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Pink or purple background.
- The lines are shaping pink.
- Better if the line on the top (at a range 80).
3. MACD Volume Crypto by Gammaprod
- Pink or purple background.
- The lines are shaped or shaping green.
- Better if at the pink histogram.
C. Consolidation
1. Trendlines Boll Ichi Crypto by Gammaprod
- The candles on the cloud (green or purple).
- Lagging span (red line) on the candles.
- then open buy near the white or blue line (always confirm the position with two other indicators below).
2. Stoch RSI Divs Zone Crypto by Gammaprod
- Mix background specially on a timeframe 15m or more.
- The line move fast up and down.
- Better if on the bottom or the top of the lines (at a range 20 or 80).
3. MACD Volume Crypto by Gammaprod
- Changing the background.
- The line is near the middle line.
- Have small Histogram.
>> The secret ingridient is comparing the timeframe :
The example scalping (Timeframe 1m, 5m and 15m)
- TF 1m is for making an open position.
- TF 5m is for making a judgement of the trend market.
- TF 15m is to confirm that judgement from TF 5m, be careful if it not similar then it used to be a consolidation or the beginning of the reversal.
There's a lot a way to open the position than above information that i gave it to you, but consider there are a limit char on this column, I hope it will help your trading and make a more profit on it.