Position CalculatorThis script calculates how much cryptos or dollars you have to bet with 4 variables : Risk Loss , Leverage, Entry and Stop Loss.
When you want to open a position, just complete the parameters and the script will tell you how much you have to bet in dollars or cryptos units, depending the way you're trading.
Note : don't foreget that you have to pay fees on exchanges whose are not included here, specially with high leverage trades.
Cari dalam skrip untuk "stop loss"
Pivot Points Percentage Differences (W/ High & Low Indicators)This script is really handy for day trading. This works best on low time frames like the 1 minute or the 5 minute .
To understand what pivot points are you can add other pivot point indicators or just look at the color differences below since every-time that changes it's a new pivot point (which represents a known low or known high with high certainty)
The script shows the most recent percentage move up or down for the last known pivot point based on the pivot point setting data.
Pivot points are generated after 20 bars go by default, but you can set this to whatever you wish in the settings . Just click the gear icon for the script to set these.
You can also set how many bars back to look for what was the last highest percentage move (down or up). This will be important for your day trading strategy.
The idea to trading with this is pretty simple.
You look at the highest percentage moves that were made on pivots up or down and if you notice a current move that has trended down or up to the highest percentage, that makes that a safer bet for shorting or longing.
Of course, sometimes, things move greater or less than normal, so you would set stop losses accordingly.
Hope this helps with your day trading for finding good entry and exit points!
EXAMPLE TRADE SCENARIO
You notice the last high for the last 100 bars was 3% . The price recently rose 3% from a known pivot low. You can put a short on this. You noticed that the average price down was 2% , so if the price drops 2% or close to it you can exit your short and go LONG . You set a stop loss above what you put by an extra percentage to be safe.
I will do an experimental strategy version of this idea if people are interested.
9.x IndexENGLISH
The 9-period exponential moving average setups are simple and efficient for upward or downward trends. Its creation is attributed to trader Larry Williams . In Brazil it is widely publicized by trader Alexandre Fernandes (Palex).
This indicator was created to show the setup that appeared in each candle and an arrow shows the direction that the operation must be made (up arrow, long, and down arrow, short).
Below are the rules that describe each setup.
9.1 Long
1) MME9 is descending;
2) The candle that changes the direction of the average upwards, after its closing, activates the setup, if its maximum is broken, the purchase is activated;
3) The stop loss is positioned below the candle low in step 2.
9.1 Short
1) MME9 is rising;
2) The candle that changes the direction of the average downwards, after its closing, activates the setup, if its minimum is lost the sale is activated;
3) The stop loss is positioned above the candle maximum in step 2.
9.2 Long
1) MME9 is rising;
2) The current candle must close below the minimum of the previous candle, if its maximum is broken, the purchase is activated;
4) If the maximum of the candle in step 2 is not broken, the purchase will occur when the maximum of the next candle is broken;
5) The stop loss is positioned below the minimum of the candle in step 2 or step 3.
9.2 Short
1) MME9 is descending;
2) The current candle must close above the maximum of the previous candle, if its minimum is lost the sale is activated;
4) If the minimum of the candle in step 2 is not lost, the sale will occur when the minimum of the next candle breaks;
5) The stop loss is positioned above the maximum of the candle in step 2 or step 3.
9.3 Long
1) MME9 is rising;
2) A reference candle must be followed by two closings in a row below its closing, the purchase occurs when the maximum of the last candle breaks;
3) If the last high is not broken, the purchase occurs when the maximum of the next candle breaks;
4) The stop loss is positioned below the minimum of the candle in step 2 or step 3;
9.3 Short
1) MME9 is descending;
2) A reference candle must be followed by two closings in a row above its closing, the sale occurs when the minimum of the last candle breaks;
3) If the last low is not broken, the sale occurs when the minimum of the next candle breaks;
4) The stop loss is positioned above the candle maximum of step 2 or step 3;
9.4 Long
1) A candle generates a 9.1 short;
2) The next candle should generate a 9.1 long without losing the minimum of the previous candle, the purchase occurs when the maximum is broken;
3) The stop loss is positioned at the low of the candle in step 2.
Setup 9.4 for sale
1) A candle generates a 9.1 long;
2) The next candle should generate a 9.1 short without losing the maximum of the previous candle, the sale occurs at the loss of its minimum;
3) The stop loss is positioned at the maximum of the candle in step 2.
PORTUGUÊS
Os setups da média móvel exponencial de 9 períodos são simples e eficientes em ativos em tendência de alta ou de baixa. Sua criação é atribuída ao trader Larry Williams . No Brasil é amplamente divulgado pelo trader Alexandre Fernandes (Palex).
Esse indicador foi criado para mostrar o setup que surgiu em cada candle e uma seta mostra a direção que deve ser feita operação (seta para cima, compra, e seta para baixo, venda).
Abaixo temos as regras que descreve cada setup.
Setup 9.1 de compra
1) A MME9 está descendente;
2) O candle que mudar a direção da média para cima, após o seu fechamento, ativa o setup, se sua máxima for rompida é ativada a compra;
3) O stop loss é posicionado abaixo da mínima do candle do passo 2.
Setup 9.1 de venda
1) A MME9 está ascendente;
2) O candle que mudar a direção da média para baixo, após o seu fechamento, ativa o setup, se sua mínima for perdida é ativada a venda;
3) O stop loss é posicionado acima da máxima do candle do passo 2.
Setup 9.2 de compra
1) A MME9 está ascendente;
2) O candle atual deve fechar abaixo da mínima do candle anterior, se sua máxima for rompida é ativada a compra;
4) Caso a máxima do candle do passo 2 não seja rompida, a compra o ocorrerá no rompimento da máxima do candle seguinte;
5) O stop loss é posicionado abaixo da mínima do candle do passo 2 ou do passo 3.
Setup 9.2 de venda
1) A MME9 está descendente;
2) O candle atual deve fechar acima da máxima do candle anterior, se sua mínima for perdida é ativada a venda;
4) Caso a mínima do candle do passo 2 não seja perdida, a venda ocorrerá no rompimento da mínima do candle seguinte;
5) O stop loss é posicionado na acima da máxima do candle do passo 2 ou do passo 3.
Setup 9.3 de compra
1) A MME9 está ascendente;
2) Um candle de referência deve seguido por dois fechamentos seguidos abaixo do seu fechamento, a compra ocorre no rompimento da máxima do último candle;
3) Se a última máxima não for rompida, a compra ocorre no rompimento da máxima do candle seguinte;
4) O stop loss é posicionado abaixo da mínima do candle do passo 2 ou do passo 3;
Setup 9.3 de venda
1) A MME9 está descendente;
2) Um candle de referência deve seguido por dois fechamentos seguidos acima do seu fechamento, a venda ocorre no rompimento da mínima do último candle;
3) Se a última mínima não for rompida, a venda ocorre no rompimento da mínima do candle seguinte;
4) O stop loss é posicionado acima da máxima do candle do passo 2 ou do passo 3;
Setup 9.4 de compra
1) Um candle gera um 9.1 de venda;
2) O candle seguinte deve gerar um 9.1 de compra sem perder a mínima do candle anterior, a compra ocorre no rompimento da sua máxima;
3) O stop loss é posicionado na mínima do candle do passo 2.
Setup 9.4 de venda
1) Um candle gerar um 9.1 de compra;
2) O candle seguinte deve gerar um 9.1 de venda sem perder a máxima do candle anterior, a venda ocorre na perda da sua mínima;
3) O stop loss é posicionado a máxima do candle do passo 2.
Altcoin Spring// ============================== ABOUT THIS SCRIPT ==================================
// By @paul108. Based on original idea about EMAs from @MuroCrypto.
// This script tries to time when altcoins might be about to pump after hitting big lows.
// It aims for a higher winrate rather than being definitive.
// It's not for timing entries on your favourite coin. It's for flipping coins that you don't care about.
// It doesn't give exits. Use support/resistance levels. Make sure to take profit.
// It was tested by eye in May 2019.
// It's for 4H on Binance alts in bullish conditions, and may not work very well in any other conditions.
//
// Circles: green means a significant move (of price crossing the slow EMA) up, red, down.
// A green circle indicates a market entry on the next candle with a stop at the medium EMA.
// A grey circle indicates an entry that matched the primary EMA conditions but not secondary tests.
// It's less likely to work out, but who knows.
// Vertical bars: An additional optional indicator: classic 8,21 EMA cross; green up, red down.
// Stop loss: A horizontal line indicates a potential place to put your stop.
// Use recent lows, support, and common sense here, especially with low-sat coins
//
// Use the indicator with confluence of your favourite technical indicators, patterns, and volume.
// If you lose money, it's on you. If you make money, be cool and pay something forward.
// ====================================================================================
PpSignal Chandelier StopThere are few indicators for MT4 which draw trailing stop line. I prefer to use Chandelier Stops. I believe that with good money management this is one of the best tools to follow a trend.
About ATR trailing stop loss (Chandelier Stops)
When you catch trend you can profit from most of the move. The good thing about ATR is that you have a stop loss level in place. When there is a close on the other side of ATR, it is a signal to close. No second guessing.
Best time frame for ATR trailing stop loss
I strongly recommend time frames such as 30m or larger. On lower time frames like 5m there is too much algo trading. I trade with ATR on 1h or 4h charts.
Parameters for trailing stop
Depends on pair or instrument. In most cases standard parameters will be fine. If I change anything then it is usually a Kv parameter. Standard is 3.5 and I tend to make it bigger like 3.7 or 4.0. In most cases it is around 3.7.
ATR trailing stop loss (Chandelier Exit) – Metatrader download
January 1, 2018 by simon in forex indicators
In this section you can download ATR trailing stop loss (Chandelier Exit) for MetaTrader:
– download ATR trailing stop loss (Chandelier Exit) for MetaTrader 4 –
There are few indicators for MT4 which draw trailing stop line. I prefer to use Chandelier Stops. I believe that with good money management this is one of the best tools to follow a trend.
About ATR trailing stop loss (Chandelier Stops)
When you catch trend you can profit from most of the move. The good thing about ATR is that you have a stop loss level in place. When there is a close on the other side of ATR, it is a signal to close. No second guessing.
Over 300 pips in profit thanks to ATR stop
Over 300 pips in profit thanks to ATR stop
Best time frame for ATR trailing stop loss
I strongly recommend time frames such as 30m or larger. On lower time frames like 5m there is too much algo trading. I trade with ATR on 1h or 4h charts.
Parameters for trailing stop
Depends on pair or instrument. In most cases standard parameters will be fine. If I change anything then it is usually a Kv parameter. Standard is 3.5 and I tend to make it bigger like 3.7 or 4.0. In most cases it is around 3.7.
Remember, it depends from pair and current situation in the market. You should experiment with few settings and check it on historical price action if they are ok.
Best pairs to trade with ATR trailing stop loss
Trailing stop loss works best in trending markets. That is why you should check pair if it tends to move strong or to move in range. It is not the secret that yen pairs line to move strongly. If you are looking for solid trends, you can’t go wrong with GBPJPY or EURJPY.
Price X volume relative trade algoThe script multiplies the price time the volumes. Than relatively calculates whether the stock or product is oversold or overbought. One can subsequently set when to go short or when to go long. The way it works is that there is a small 1 for a long and a -1 for a short. If it is 1 and the followed by a 2 one has a profit. If a -1 is followed by a -2 you traded a short with a profit.
If however a 1 is followed by a -1 you lost a long. Vice verse for the short: if the -1 is followed by a 1 you have a loss.
Once can also set a target and arrange the stop loss they way you want. A little bit complicated with many parameters to set in the setting window. But for the one who has the patient to understand the script I believe it can be very useful.
Jan de Korver:
Search the secret www.behance.net
Bollinger + RSI, Double Strategy (by ChartArt)Bollinger Bands + RSI, Double Strategy
This strategy uses a slower RSI with period 16 to sell when the RSI increases over the value of 55 (or to buy when the value falls below 45), with the classic Bollinger Bands strategy to sell when the price is above the upper Bollinger Band and falls below it (and to buy when the price is below the lower band and rises above it). This strategy only triggers when both the RSI and the Bollinger Bands indicators are at the same time in the described overbought or oversold condition. In addition there are color alerts which can be deactivated.
This basic strategy is based upon the "RSI Strategy" and "Bollinger Bands Strategy" which were created by Tradingview and uses no money management like a trailing stop loss and no scalping methods. Every win/loss trade is simply counted from the last overbought/oversold condition to the next one.
This strategy does not use close prices from higher-time frame and should not repaint after the current candle has closed. It might repaint like every Tradingview indicator while the current candle hasn't closed.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Volume FIltered RSI Buy/Sell StrategyVolume Filtered RSI Buy/Sell Strategy
Introduction
This publication introduces the "Volume Filtered RSI Buy/Sell Strategy," a systematic trading approach designed specifically for cryptocurrency markets. This strategy combines RSI momentum signals with volume confirmation and precise candle pattern recognition to identify high-probability entry points while filtering out weak signals.
Overview
The strategy implements a multi-layered filtering system that requires several conditions to align before entering a trade. By requiring RSI momentum shifts, significant volume, and strong candle patterns, the system aims to capture only the most reliable trade setups. Built-in risk management features provide automatic stop-loss and take-profit placement based on either ATR volatility or fixed percentage risk.
Strategy Core Components:
RSI Momentum Detection : Identifies transitions from oversold to bullish (for longs) and overbought to bearish (for shorts)
Volume Confirmation : Ensures entries occur with above-average volume, filtering out low-liquidity signals
Candle Pattern Analysis : Requires strong bullish/bearish candles where the body comprises at least 50% of the candle range
Optional Supertrend Filter : Provides trend alignment confirmation across multiple timeframes
Dynamic ATR Stop-Loss System : Adapts protection levels based on current market volatility
Default Settings:
RSI Parameters : 14-period length with 70/30 overbought/oversold levels
Risk Management : 1.5 risk-reward ratio with option for ATR-based or fixed 0.5% stop-loss
Commission : 0.055% per trade (realistic for major exchanges)
Initial Capital : 100 USDT (realistic for average trader)
Order Size : Recommended 20 USDT per trade (20% risk per trade)
Entry Logic:
The strategy creates a powerful filtering system by requiring all of the following conditions to align:
Long Entry : RSI crosses above 30 from below + Strong bullish candle (body > 50% of range) + Volume > 14-period SMA
Short Entry : RSI crosses below 70 from above + Strong bearish candle (body > 50% of range) + Volume > 14-period SMA
Optional Trend Alignment : When enabled, entries must align with Supertrend direction
Exit Methods:
The strategy offers two comprehensive exit approaches:
ATR-Based : Dynamically calculates stop-loss and take-profit levels based on current volatility (3.5x ATR multiplier)
Fixed Percentage : Uses a consistent 0.5% stop-loss with take-profit set at 1.5x the risk distance
Visualization : All entry points, stop-loss levels and take-profit targets are clearly displayed on the chart
Why This Combination Works:
The power of this strategy comes from its multi-confirmation approach:
RSI identifies potential momentum shifts but can produce false signals in ranging markets
Volume confirmation ensures trades are only taken when sufficient market interest exists
Candle pattern requirements filter out weak reversals by demanding strong price action
When combined, these three filters significantly reduce false signals while capturing strong momentum shifts
Backtesting Results:
When tested on BTCUSDT 5-minute chart with the default settings:
Total trades: 53 (provides sufficient sample size)
Profitable trades: 58.49%
Profit factor: 1.472
Max drawdown: 3.01%
Net profit: +6.52%
Recommended Usage:
Optimal Timeframe : 5-minute chart for BTCUSDT
Trade Direction : Can be configured for Long-only, Short-only or Both directions
Risk Management : The default settings risk approximately 1% per trade with the recommended 20 USDT order size on 100 USDT capital
Indicator Mode : For those who prefer manual trade management, right-click on chart and disable "Trades On Chart"
Customization Options:
The strategy provides multiple parameters that can be adjusted to match different trading styles:
RSI length and overbought/oversold levels
ATR period for stop-loss calculation
Risk-reward ratio
Fixed stop-loss percentage
Optional Supertrend filter with adjustable factor and period
Disclaimer
This strategy is shared for educational purposes only. The default parameters have been tested to provide a balance between win rate and profitability, but past performance does not guarantee future results. The commission setting (0.055%) reflects realistic exchange fees, and the recommended position sizing (20% of capital) is higher than traditional 1-2% but represents common practice in cryptocurrency trading. Users should thoroughly test any changes to parameters before trading real capital.
SMPivot Gaussian Trend Strategy [Js.K]This open-source strategy combines a Gaussian-weighted moving average with “Smart Money” swing-pivot breaks (BoS = Break-of-Structure) to capture trend continuations and early reversals. It is intended for educational and research purposes only and must not be interpreted as financial advice.
How the logic works
-------------------
1. Gaussian Moving Average (GMA)
• A custom Gaussian kernel (length = 30 by default) smooths price while preserving turning points.
• A second pass (“Smoothed GMA”) further filters noise; only its direction is used for bias.
2. Swing-Pivot detection
• High/Low pivots are found with a symmetric look-back/forward window (Pivot Length = 20).
• The most recent confirmed pivot creates a dynamic structure level (UpdatedHigh / UpdatedLow).
3. Entry rules
Long
• Price closes above the most recent pivot high **and** above Smoothed GMA.
Short
• Price closes below the most recent pivot low **and** below Smoothed GMA.
4. Exit rules
• Fixed stop-loss and take-profit in percent of current price (user-defined).
• Separate parameters and on/off switches for longs and shorts.
5. Visuals
• GMA (dots) and Smoothed GMA (line).
• Structure break lines plus “BoS PH/PL” labels at the midpoint between pivot and break.
Inputs
------
Gaussian
• Gaussian Length (default 30) – smoothing window.
• Gaussian Scatterplot – toggle GMA dots.
Smart-Money Pivot
• Pivot Length (default 20).
• Bull / Bear colors.
Risk settings
• Long / Short enable.
• Individual SL % and TP % (default 1 % SL, 30 % TP).
• Strategy uses percent-of-equity sizing; initial capital defaults to 10 000 USD.
Adjust these to reflect your own account size, realistic commission and slippage.
Best practice & compliance notes
--------------------------------
• Test on a data sample that yields ≥ 100 trades to obtain statistically relevant results.
• Keep risk per trade below 5–10 % of equity; the default values comply with this guideline.
• Explain any custom settings you publish that differ from the defaults.
• Do **not** remove the code header or licence notice (MPL-2.0).
• Include realistic commission and slippage in your back-test before publishing.
• The script does **not** repaint; orders are processed on bar close.
Usage
-----
1. Add the script to any symbol / timeframe; intraday and swing timeframes both work—adjust lengths accordingly.
2. Configure SL/TP and position size to match your personal risk management.
3. Run “List of trades” and the performance summary to evaluate expectancy; forward-test before live use.
Disclaimer
----------
Trading involves substantial risk. Past performance based on back-testing is not necessarily indicative of future results. The author is **not** responsible for any financial losses arising from the use of this script.
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency.
What it does:
The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes:
- Total number of trades
- Profit Factor (total profits / total losses)
- Win Rate
- A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate.
Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart.
How to use it:
- Choose the strategy type: "Long Only" or "Buy & Sell"
- Set the minimum trade count to filter out statistically irrelevant results
- Enable or disable the summary stats table (default: enabled)
The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency.
Key Features:
- Exhaustive SMA optimization across 991 values
- Customizable trade direction and minimum trade filters
- In-chart visualization of results via table and plotted optimal SMA
- Uses a custom robustness formula to rank SMA lengths
Use cases:
Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes.
📌 Limitations:
- Not a full trading strategy with position sizing or stop-loss logic
- Only one entry per direction at a time is allowed
- Designed for exploration and optimization, not as a ready-to-trade system
This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
Triple Confirmation Scalper v2 - Alarm CompatibleTriple Confirmation Scalper Strategy
A high-probability scalping strategy combining trend momentum, overbought/sold conditions, and volume confirmation to filter low-noise signals.
📊 Strategy Logic
Trend Direction
Dual EMA crossover (9 & 21 periods) for momentum and trend bias.
Overbought/Oversold Zones
RSI (14-period) to avoid entries at extremes.
Volume Spike Filter
OBV + 20-period volume average to confirm breakout validity.
Dynamic Risk Management
Stop-loss: Adaptive to recent price action (5-candle low/high ±1%).
Take-profit: 1.5% target (1.5:1 risk/reward).
🔍 Advanced Features
Precision VWAP (20-period, HLC3-based) for dynamic S/R levels.
Visual Aids:
EMA/VWAP bands + trend-colored background.
Volume spike alerts.
TradingView Alerts pre-configured for long/short signals.
⚙️ Default Settings
Commission: 0.1% factored into backtests.
Mode: Supports both long/short positions.
⚠️ Disclaimer
This is a technical analysis tool, not financial advice.
Past performance ≠ future results. Test thoroughly in a demo account.
Adjust parameters (e.g., EMA periods, RSI thresholds) to match your risk tolerance.
✅ TradingView Compliance Notes:
No exaggerated claims (e.g., "100% win rate").
Clear disclaimer included.
Focus on objective strategy logic (no promotional language).
DM Support / Resistance (USA Session)This indicator is specifically designed for use on the 4-hour time frame and helps traders identify key support and resistance levels during the USA trading session (9:30 AM to 4:00 PM Eastern Time). The indicator calculates important price levels to assist in making well-informed entry and exit decisions, particularly for those focusing on swing trades or longer-term intraday strategies. It also includes a feature to skip setups when relevant fundamental news is scheduled, ensuring you avoid trading during periods of high volatility.
Key Features:
Support and Resistance Levels (S1 & R1):
The indicator calculates and displays Support 1 (S1) and Resistance 1 (R1) levels, which act as key barriers for price action and help traders spot potential reversal or breakout zones on the chart.
Pivot Point (PP):
The Pivot Point (PP) is calculated as the average of the previous period's high, low, and close. It serves as a central reference point for market direction, allowing traders to evaluate whether the market is in a bullish or bearish trend.
Market Bias:
The Bias is shown as a histogram that helps traders assess the strength of the market trend. A positive bias suggests bullish sentiment, while a negative bias signals bearish conditions. This can be used to confirm the overall trend direction.
4-Hour Time Frame:
The indicator is optimized for the 4-hour time frame, making it suitable for traders looking for swing trades or those who wish to capture longer-term trends within the USA session. The key support, resistance, and pivot levels are recalculated dynamically to reflect price action over 4-hour periods.
Dynamic Plotting and Alerts:
Support and resistance levels are drawn as dashed horizontal lines, updating in real-time to reflect the most current market data during the USA session. Alerts can be set for significant price movements crossing these levels.
Stop-Loss Strategy Based on 15-Minute Time Frame:
A unique feature of this indicator is its stop-loss strategy, which uses 15-minute time frame support and resistance levels. When a long or short entry is triggered on the 4-hour chart, traders should place their stop-loss according to the relevant 15-minute support or resistance level.
If the price closes above the 15-minute support for a long entry, or closes below the 15-minute resistance for a short entry, it signals the need to exit or adjust your position based on these levels.
Fundamental News Filter:
To avoid unnecessary risk, the indicator incorporates a fundamental news filter. If there is relevant news scheduled during the USA session, such as high-impact economic data or central bank announcements, the indicator will skip the setup for that period. This prevents traders from entering positions during times of elevated volatility caused by news events, which could result in unpredictable price movements.
How to Use:
Long Entry: When the Bias is positive and the price breaks above Support 1 (S1), this signals a potential bullish move. Consider entering a long position at this point.
Stop-Loss Strategy: Set your stop-loss at the respective 15-minute support level. If the price closes below this level, it could signal a reversal, prompting you to exit the trade.
Short Entry: When the Bias is negative and the price breaks below Resistance 1 (R1), this signals a potential bearish move. Enter a short position at this point.
Stop-Loss Strategy: Set your stop-loss at the respective 15-minute resistance level. If the price closes above this level, exit the short trade as it could indicate a bullish reversal.
Pivot Point (PP): The Pivot Point serves as a reference level to gauge potential price reversals. A move above the PP suggests a bullish bias, while trading below the PP suggests a bearish outlook.
Bias Histogram: The Bias Histogram helps confirm trend direction. A positive bias confirms long positions, while a negative bias reinforces short trades.
Avoid Trading During High-Impact News: If there is significant economic news or fundamental events scheduled during the USA session, the indicator will automatically skip any potential setup. This feature ensures you avoid entering trades that might be affected by unexpected news-driven volatility, keeping your trading strategy safer and more reliable.
Why Use This Indicator:
The 4-hour time frame is ideal for traders who prefer swing trading or those looking to capture longer-term trends in a structured manner. This indicator provides crucial insights into market direction, support/resistance levels, and potential entry/exit points.
The stop-loss management based on the 15-minute support and resistance levels helps traders protect their positions from sudden price reversals, ensuring more precise risk management.
The fundamental news filter is particularly useful for avoidance of high-risk periods. By skipping setups during high-impact news events, traders can avoid entering trades when price volatility could be unpredictable.
Overall, this indicator is a powerful tool for traders who want to make data-driven decisions based on technical analysis while ensuring that their positions are managed responsibly and avoiding news-driven risk.
EMA 10/55/200 - LONG ONLY MTF (4h with 1D & 1W confirmation)Title: EMA 10/55/200 - Long Only Multi-Timeframe Strategy (4h with 1D & 1W confirmation)
Description:
This strategy is designed for trend-following long entries using a combination of exponential moving averages (EMAs) on the 4-hour chart, confirmed by higher timeframe trends from the daily (1D) and weekly (1W) charts.
🔍 How It Works
🔹 Entry Conditions (4h chart):
EMA 10 crosses above EMA 55 and price is above EMA 55
OR
EMA 55 crosses above EMA 200
OR
EMA 10 crosses above EMA 500
These entries indicate short-term momentum aligning with medium/long-term trend strength.
🔹 Confirmation (multi-timeframe alignment):
Daily (1D): EMA 55 is above EMA 200
Weekly (1W): EMA 55 is above EMA 200
This ensures that we only enter long trades when the higher timeframes support an uptrend, reducing false signals during sideways or bearish markets.
🛑 Exit Conditions
Bearish crossover of EMA 10 below EMA 200 or EMA 500
Stop Loss: 5% below entry price
⚙️ Backtest Settings
Capital allocation per trade: 10% of equity
Commission: 0.1%
Slippage: 2 ticks
These are realistic conditions for crypto, forex, and stocks.
📈 Best Used On
Timeframe: 4h
Instruments: Trending markets like BTC/ETH, FX majors, or growth stocks
Works best in volatile or trending environments
⚠️ Disclaimer
This is a backtest tool and educational resource. Always validate on demo accounts before applying to real capital. Do your own due diligence.
Crypto Strategy SUSDT 10 minThis strategy is designed to trade the **SUSDT** pair on a **10-minute time frame**, using a combination of an Exponential Moving Average (EMA) and percentage-based Stop Loss (SL) and Take Profit (TP) levels.
### How the strategy works:
1. **EMA Calculation**:
- The strategy calculates a 24-period Exponential Moving Average (EMA) based on the closing price.
- This EMA serves as the primary trend indicator.
2. **Entry Conditions**:
- **Long Position**: A long position is entered when the closing price is above the EMA and the opening price is below the EMA. This indicates a potential upward trend.
- **Short Position**: A short position is entered when the closing price is below the EMA and the opening price is above the EMA. This indicates a potential downward trend.
3. **Stop Loss and Take Profit**:
- Both Stop Loss (SL) and Take Profit (TP) are calculated based on the entry price of the position.
- **For Long Positions**:
- Stop Loss is set as a percentage below the entry price.
- Take Profit is set as a percentage above the entry price.
- **For Short Positions**:
- Stop Loss is set as a percentage above the entry price.
- Take Profit is set as a percentage below the entry price.
- The percentage values for SL and TP can be adjusted in the strategy's settings (default: SL = 2%, TP = 4%).
4. **Exit Conditions**:
- The position is closed automatically when either the Stop Loss or Take Profit level is reached.
5. **Visualization**:
- The 24-period EMA is plotted on the chart as a blue line, helping visualize the trend direction.
### Key Features:
- **Pair and Time Frame**: The strategy is optimized for the SUSDT pair on a 10-minute time frame.
- **Customizable Parameters**: Users can adjust the Stop Loss and Take Profit percentages to suit their risk tolerance and trading style.
- **Trend-Following Approach**: The strategy uses the EMA to identify and follow the current market trend.
This strategy is simple yet effective for capturing trends while managing risk through predefined Stop Loss and Take Profit levels.
Price and Volume Breakout - Jemmy TradeThe "Price and Volume Breakout" indicator is designed to identify potential breakout opportunities by analyzing both price and volume trends. It uses a combination of historical price highs, volume peaks, and a customizable Simple Moving Average (SMA) to signal bullish breakouts. When the price exceeds the highest price of the defined breakout period and is supported by high volume, the indicator triggers visual alerts on the chart. These include dotted lines, labels, and boxes highlighting accumulation zones, along with dynamically calculated stop loss and take profit levels.
Key Features:
• Breakout Detection: Compares the current closing price to the highest price and volume over specified periods to signal a breakout.
• Customizable Stop Loss Options: Offers three methods for setting stop loss levels:
o Below SMA: Positions stop loss a user-defined percentage below the SMA.
o Lowest Low: Uses the lowest low over a specific look-back period.
o Range Average: Calculates an average based on the previous price range.
• Dynamic Take Profit Calculation: Automatically computes take profit levels based on the defined risk-to-reward ratio.
• Visual Chart Elements: Draws breakout lines, stop loss and take profit indicators, labels (e.g., "🚀 Breakout Buy", "🔴 Stop Loss", "🟢 Take Profit"), and boxes marking accumulation zones for easy visualization.
• Alert Conditions: Includes alert functionality to notify traders when breakout conditions are met, enabling timely trading decisions.
How to Use:
1. Customization: Adjust settings such as the breakout periods for price and volume, the length of the SMA, stop loss options, and the risk-to-reward ratio to fit your trading strategy.
2. Signal Identification: When the price exceeds the highest value from the previous period, accompanied by high volume and confirmation from the SMA, the indicator displays a "Breakout Buy" signal.
3. Risk Management: The indicator calculates appropriate stop loss and take profit levels automatically based on your selected parameters, ensuring a balanced risk/reward setup.
4. Alerts: Utilize the built-in alert conditions to receive notifications whenever the breakout criteria are satisfied, helping you act promptly.
PLEASE USE IT AS PER YOUR OWN RISK MANAGEMENT STRATEGIES.
Keywords:
#Breakout #Trading #VolumeAnalysis #TechnicalAnalysis #PriceAction #RiskManagement #TrendFollowing #TradingSignals #PriceBreakout #SmartTrading #JemmyTrade
Fibonacci & Bollinger Bands StrategyTrading System: Fibonacci & Bollinger Bands Strategy
1. Session Timing
Trade only from 1 PM onwards.
Identify the first candle on the 1 PM vertical line to set the market direction.
If it's a bullish candle, look for buy opportunities.
If it's a bearish candle, look for sell opportunities.
2. Fibonacci Retracement as a Measuring Tool
Identify the recent swing high and swing low before the 1 PM session.
Draw Fibonacci retracement levels from low to high (for buys) or high to low (for sells).
Key retracement levels to watch: 0.0%, 50.0%, and 100.0%.
Entries can be placed at 0.0% or 50.0%, aiming for a move toward 100.0% retracement.
3. Bollinger Bands Confirmation
If the Bollinger Bands are above price, expect a downward move (sell).
If the Bollinger Bands are below price, expect an upward move (buy).
Use this as additional confirmation for your Fibonacci-based trade.
4. Entry & Exit Rules
Entry:
If the 1 PM candle confirms a bullish bias, enter long near Fibonacci 0.0% or 50.0%.
If the 1 PM candle confirms a bearish bias, enter short near Fibonacci 0.0% or 50.0%.
Stop Loss: Below (for buys) or above (for sells) the swing low/high used for Fibonacci.
Take Profit: Target 100.0% retracement level or next key resistance/support.
5. Risk Management
Risk 1-2% per trade.
Avoid trading if price is too far from Fibonacci levels.
Confirm setup with Bollinger Bands alignment.
DTFX Algo Zones [SamuraiJack Mod]CME_MINI:NQ1!
Credits
This indicator is a modified version of an open-source tool originally developed by Lux Algo. I literally modded their indicator to create the DTFX Algo Zones version, incorporating additional features and refinements. Special thanks to Lux Algo for their original work and for providing the open-source code that made this development possible.
Introduction
DTFX Algo Zones is a technical analysis indicator designed to automatically identify key supply and demand zones on your chart using market structure and Fibonacci retracements. It helps traders spot high-probability reversal areas and important support/resistance levels at a glance. By detecting shifts in market structure (such as Break of Structure and Change of Character) and highlighting bullish or bearish zones dynamically, this tool provides an intuitive framework for planning trades. The goal is to save traders time and improve decision-making by focusing attention on the most critical price zones where market bias may confirm or reverse.
Logic & Features
• Market Structure Shift Detection (BOS & CHoCH): The indicator continuously monitors price swings and marks significant structure shifts. A Break of Structure (BOS) occurs when price breaks above a previous swing high or below a swing low, indicating a continuation of the current trend. A Change of Character (ChoCH) is detected when price breaks in the opposite direction of the prior trend, often signaling an early trend reversal. These moments are visually marked on the chart, serving as anchor points for new zones. By identifying BOS and ChoCH in real-time, the DTFX Algo Zones indicator ensures you’re aware of key trend changes as they happen.
• Auto-Drawn Fibonacci Supply/Demand Zones: Upon a valid structure shift, the indicator plots a Fibonacci-based zone between the breakout point and the preceding swing high/low (the source of the move). This creates a shaded area or band of Fibonacci retracement levels (for example 38.2%, 50%, 61.8%, etc.) representing a potential support zone in an uptrend or resistance zone in a downtrend. These supply/demand zones are derived from the natural retracement of the breakout move, highlighting where price is likely to pull back. Each zone is essentially an auto-generated Fibonacci retracement region tied to a market structure event, which traders can use to anticipate where the next pullback or bounce might occur.
• Dynamic Bullish and Bearish Zones: The DTFX Algo Zones indicator distinguishes bullish vs. bearish zones and updates them dynamically as new price action unfolds. Bullish zones (formed after bullish BOS/ChoCH) are typically highlighted in one color (e.g. green or blue) to indicate areas of demand/support where price may bounce upward. Bearish zones (formed after bearish BOS/ChoCH) are shown in another color (e.g. red/orange) to mark supply/resistance where price may stall or reverse downward. This color-coding and real-time updating allow traders to instantly recognize the market bias: for instance, a series of bullish zones implies an uptrend with multiple support levels on pullbacks, while consecutive bearish zones indicate a downtrend with resistance overhead. As old zones get invalidated or new ones appear, the chart remains current with the latest key levels, eliminating clutter from outdated levels.
• Flexible Customization: The indicator comes with several options to tailor the zones to your trading style. You can filter which zones to display – for example, show only the most recent N zones or limit to only bullish or only bearish zones – helping declutter the chart and focus on recent, relevant levels. There are settings to control zone extension (how far into the future the zones are drawn) and to automatically invalidate zones once they’re no longer relevant (for instance, if price fully breaks through a zone or a new structure shift occurs that supersedes it). Additionally, the Fibonacci retracement levels within each zone are customizable: you can choose which retracement percentages to plot, adjust their colors or line styles, and decide whether to fill the zone area for visibility. This flexibility ensures the DTFX Algo Zones can be tuned for different markets and strategies, whether you want a clean minimalist look or detailed zones with multiple internal levels.
Best Use Cases
DTFX Algo Zones is a versatile indicator that can enhance various trading strategies. Some of its best use cases include:
• Identifying High-Probability Reversal Zones: Each zone marks an area where price has a higher likelihood of stalling or reversing because it reflects a significant prior swing and Fibonacci retracement. Traders can watch these zones for entry opportunities when the market approaches them, as they often coincide with order block or strong supply/demand areas. This is especially useful for catching trend reversals or pullbacks at points where risk is lower and potential reward is higher.
• Spotting Key Support and Resistance: The automatically drawn zones act as dynamic support (below price) and resistance (above price) levels. Instead of manually drawing Fibonacci retracements or support/resistance lines, you get an instant map of the key levels derived from recent price action. This helps in quickly identifying where the next bounce (support) or rejection (resistance) might occur. Swing traders and intraday traders alike can use these zones to set alerts or anticipate reaction areas as the market moves.
• Trend-Following Entries: In a trending market, the indicator’s zones provide ideal areas to join the trend on pullbacks. For example, in an uptrend, when a new bullish zone is drawn after a BOS, it indicates a fresh demand zone – buying near the lower end of that zone on a pullback can offer a low-risk entry to ride the next leg up. Similarly, in a downtrend, selling rallies into the highlighted supply zones can position you in the direction of the prevailing trend. The zones effectively serve as a roadmap of the trend’s structure, allowing trend traders to buy dips and sell rallies with greater confidence.
• Mean-Reversion and Range Trading: Even in choppy or range-bound markets, DTFX Algo Zones can help find mean-reversion trades. If price is oscillating sideways, the zones at extremes of the range might mark where momentum is shifting (ChoCH) and price could swing back toward the mean. A trader might fade an extended move when it reaches a strong zone, anticipating a reversion. Additionally, if multiple zones cluster in an area across time (creating a zone overlap), it often signifies a particularly robust support/resistance level ideal for range trading strategies.
In all these use cases, the indicator’s ability to filter out noise and highlight structurally important levels means traders can focus on higher-probability setups and make more informed trading decisions.
Strategy – Pullback Trading with DTFX Algo Zones
One of the most effective ways to use the DTFX Algo Zones indicator is trading pullbacks in the direction of the trend. Below is a step-by-step strategy to capitalize on pullbacks using the zones, combining the indicator’s signals with sound price action analysis and risk management:
1. Identify a Market Structure Shift and Trend Bias: First, observe the chart for a recent BOS or ChoCH signal from the indicator. This will tell you the current trend bias. For instance, a bullish BOS/ChoCH means the market momentum has shifted upward (bullish bias), and a new demand zone will be drawn. A bearish structure break indicates downward momentum and creates a supply zone. Make sure the broader context supports the bias (e.g., if multiple higher timeframe zones are bullish, focus on long trades).
2. Wait for the Pullback into the Zone: Once a new zone appears, don’t chase the price immediately. Instead, wait for price to retrace back into that highlighted zone. Patience is key – let the market come to you. For a bullish setup, allow price to dip into the Fibonacci retracement zone (demand area); for a bearish setup, watch for a rally into the supply zone. Often, the middle of the zone (around the 50% retracement level) can be an optimal area where price might slow down and pivot, but it’s wise to observe price behavior across the entire zone.
3. Confirm the Entry with Price Action & Confluence: As price tests the zone, look for confirmation signals before entering the trade. This can include bullish reversal candlestick patterns (for longs) or bearish patterns (for shorts) such as engulfing candles, hammers/shooting stars, or doji indicating indecision turning to reversal. Additionally, incorporate confluence factors to strengthen the setup: for example, check if the zone overlaps with a key moving average, a round number price level, or an old support/resistance line from a higher timeframe. You might also use an oscillator (like RSI or Stochastic) to see if the pullback has reached oversold conditions in a bullish zone (or overbought in a bearish zone), suggesting a bounce is likely. The more factors aligning at the zone, the more confidence you can have in the trade. Only proceed with an entry once you see clear evidence of buyers defending a demand zone or sellers defending a supply zone.
4. Enter the Trade and Manage Risk: When you’re satisfied with the confirmation (e.g., price starts to react positively off a demand zone or shows rejection wicks in a supply zone), execute your entry in the direction of the original trend. Immediately set a stop-loss order to control risk: for a long trade, a common placement is just below the demand zone (a few ticks/pips under the swing low that formed the zone); for a short trade, place the stop just above the supply zone’s high. This way, if the zone fails and price continues beyond it, your loss is limited. Position size the trade so that this stop-loss distance corresponds to a risk you are comfortable with (for example, 1-2% of your trading capital).
5. Take Profit Strategically: Plan your take-profit targets in advance. A conservative approach is to target the origin of the move – for instance, in a long trade, you might take profit as price moves back up to the swing high (the 0% Fibonacci level of the zone) or the next significant zone or resistance level above. This often yields at least a 1:1 reward-to-risk ratio if you entered around mid-zone. More aggressive trend-following traders may leave a portion of the position running beyond the initial target, aiming for a larger move in line with the trend (for example, new higher highs in an uptrend). You can also trail your stop-loss upward behind new higher lows (for longs) or lower highs (for shorts) as the trend progresses, locking in profit while allowing for further gains.
6. Monitor Zone Invalidation: Even after entering, keep an eye on the behavior around the zone and any new zones that may form. If price fails to bounce and instead breaks decisively through the entire zone, respect that as an invalidation – the market may be signaling a deeper reversal or that the signal was false. In such a case, it’s better to exit early or stick to your stop-loss than to hold onto a losing position. The indicator will often mark or no longer highlight zones that have been invalidated by price, guiding you to shift focus to the next opportunity.
Risk Management Tips:
• Always use a stop-loss and don’t move it farther out in hope. Placing the stop just beyond the zone’s far end (the swing point) helps protect you if the pullback turns into a larger reversal.
• Aim for a favorable risk-to-reward ratio. With pullback entries near the middle or far end of a zone, you can often achieve a reward that equals or exceeds your risk. For example, risking 20 pips to make 20+ pips (1:1 or better) is a prudent starting point. Adjust targets based on market structure – if the next resistance is 50 pips away, consider that upside against your risk.
• Use confluence and context: Don’t take every zone signal in isolation. The highest probability trades come when the DTFX Algo Zone aligns with other analysis (trend direction, chart patterns, higher timeframe support/resistance, etc.). This filtered approach will reduce trades taken in weak zones or counter-trend traps.
• Embrace patience and selectivity: Not all zones are equal. It can be wise to skip very narrow or insignificant zones and wait for those that form after a strong BOS/ChoCH (indicating a powerful move). Larger zones or zones formed during high-volume times tend to produce more reliable pullback opportunities.
• Review and adapt: After each trade, note how price behaved around the zone. If you notice certain Fib levels (like 50% or 61.8%) within the zone consistently provide the best entries, you can refine your approach to focus on those. Similarly, adjust the indicator’s settings if needed – for example, if too many minor zones are cluttering your screen, limit to the last few or increase the structure length parameter to capture only more significant swings.
⸻
By combining the DTFX Algo Zones indicator with disciplined confirmation and risk management, traders can improve their timing on pullback entries and avoid chasing moves. This indicator shines in helping you trade what you see, not what you feel – the clearly marked zones and structure shifts keep you grounded in price action reality. Whether you’re a trend trader looking to buy the dip/sell the rally, or a reversal trader hunting for exhaustion points, DTFX Algo Zones provides a robust visual aid to elevate your trading decisions. Use it as a complementary tool in your analysis to stay on the right side of the market’s structure and enhance your trading performance.
Rally Base Drop SND Pivots Strategy [LuxAlgo X PineIndicators]This strategy is based on the Rally Base Drop (RBD) SND Pivots indicator developed by LuxAlgo. Full credit for the concept and original indicator goes to LuxAlgo.
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand trading system that detects pivot points based on Rally, Base, and Drop (RBD) candles. This strategy automatically identifies key market structure levels, allowing traders to:
Identify pivot-based supply and demand (SND) zones.
Use fixed criteria for trend continuation or reversals.
Filter out market noise by requiring structured price formations.
Enter trades based on breakouts of key SND pivot levels.
How the Rally Base Drop SND Pivots Strategy Works
1. Pivot Point Detection Using RBD Candles
The strategy follows a rigid market structure methodology, where pivots are detected only when:
A Rally (R) consists of multiple consecutive bullish candles.
A Drop (D) consists of multiple consecutive bearish candles.
A Base (B) is identified as a transition between Rallies and Drops, acting as a pivot point.
The pivot level is confirmed when the formation is complete.
Unlike traditional fractal-based pivots, RBD Pivots enforce stricter structural rules, ensuring that each pivot:
Has a well-defined bullish or bearish price movement.
Reduces false signals caused by single-bar fluctuations.
Provides clear supply and demand levels based on structured price movements.
These pivot levels are drawn on the chart using color-coded boxes:
Green zones represent bullish pivot levels (Rally Base formations).
Red zones represent bearish pivot levels (Drop Base formations).
Once a pivot is confirmed, the high or low of the base candle is used as the reference level for future trades.
2. Trade Entry Conditions
The strategy allows traders to select from three trading modes:
Long Only – Only takes long trades when bullish pivot breakouts occur.
Short Only – Only takes short trades when bearish pivot breakouts occur.
Long & Short – Trades in both directions based on pivot breakouts.
Trade entry signals are triggered when price breaks through a confirmed pivot level:
Long Entry:
A bullish pivot level is formed.
Price breaks above the bullish pivot level.
The strategy enters a long position.
Short Entry:
A bearish pivot level is formed.
Price breaks below the bearish pivot level.
The strategy enters a short position.
The strategy includes an optional mode to reverse long and short conditions, allowing traders to experiment with contrarian entries.
3. Exit Conditions Using ATR-Based Risk Management
This strategy uses the Average True Range (ATR) to calculate dynamic stop-loss and take-profit levels:
Stop-Loss (SL): Placed 1 ATR below entry for long trades and 1 ATR above entry for short trades.
Take-Profit (TP): Set using a Risk-Reward Ratio (RR) multiplier (default = 6x ATR).
When a trade is opened:
The entry price is recorded.
ATR is calculated at the time of entry to determine stop-loss and take-profit levels.
Trades exit automatically when either SL or TP is reached.
If reverse conditions mode is enabled, stop-loss and take-profit placements are flipped.
Visualization & Dynamic Support/Resistance Levels
1. Pivot Boxes for Market Structure
Each pivot is marked with a colored box:
Green boxes indicate bullish demand zones.
Red boxes indicate bearish supply zones.
These boxes remain on the chart to act as dynamic support and resistance levels, helping traders identify key price reaction zones.
2. Horizontal Entry, Stop-Loss, and Take-Profit Lines
When a trade is active, the strategy plots:
White line → Entry price.
Red line → Stop-loss level.
Green line → Take-profit level.
Labels display the exact entry, SL, and TP values, updating dynamically as price moves.
Customization Options
This strategy offers multiple adjustable settings to optimize performance for different market conditions:
Trade Mode Selection → Choose between Long Only, Short Only, or Long & Short.
Pivot Length → Defines the number of required Rally & Drop candles for a pivot.
ATR Exit Multiplier → Adjusts stop-loss distance based on ATR.
Risk-Reward Ratio (RR) → Modifies take-profit level relative to risk.
Historical Lookback → Limits how far back pivot zones are displayed.
Color Settings → Customize pivot box colors for bullish and bearish setups.
Considerations & Limitations
Pivot Breakouts Do Not Guarantee Reversals. Some pivot breaks may lead to continuation moves instead of trend reversals.
Not Optimized for Low Volatility Conditions. This strategy works best in trending markets with strong momentum.
ATR-Based Stop-Loss & Take-Profit May Require Optimization. Different assets may require different ATR multipliers and RR settings.
Market Noise May Still Influence Pivots. While this method filters some noise, fake breakouts can still occur.
Conclusion
The Rally Base Drop SND Pivots Strategy is a non-repainting supply and demand system that combines:
Pivot-based market structure analysis (using Rally, Base, and Drop candles).
Breakout-based trade entries at confirmed SND levels.
ATR-based dynamic risk management for stop-loss and take-profit calculation.
This strategy helps traders:
Identify high-probability supply and demand levels.
Trade based on structured market pivots.
Use a systematic approach to price action analysis.
Automatically manage risk with ATR-based exits.
The strict pivot detection rules and built-in breakout validation make this strategy ideal for traders looking to:
Trade based on market structure.
Use defined support & resistance levels.
Reduce noise compared to traditional fractals.
Implement a structured supply & demand trading model.
This strategy is fully customizable, allowing traders to adjust parameters to fit their market and trading style.
Full credit for the original concept and indicator goes to LuxAlgo.
IU BBB(Big Body Bar) StrategyDESCRIPTION
The IU BBB (Big Body Bar) Strategy is a price action-based trading strategy that identifies high-momentum candles with significantly larger body sizes compared to the average. It enters trades when a strong bullish or bearish move occurs and manages risk using an ATR-based trailing stop-loss system.
USER INPUTS:
- Big Body Threshold – Defines how many times larger the candle body should be compared to the average body ( default is 4 ).
- ATR Length – The period for the Average True Range (ATR) used in the trailing stop-loss calculation ( default is 14 ).
- ATR Factor – Multiplier for ATR to determine the trailing stop distance ( default is 2 ).
LONG CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is higher than the opening price (bullish candle).
SHORT CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is lower than the opening price (bearish candle).
LONG EXIT:
- ATR-based trailing stop-loss dynamically adjusts, locking in profits as the price moves higher.
SHORT EXIT:
- ATR-based trailing stop-loss dynamically adjusts, securing profits as the price moves lower.
WHY IT IS UNIQUE:
- Unlike traditional momentum strategies, this system adapts to volatility by filtering trades based on relative candle size.
- It incorporates an ATR-based trailing stop-loss, ensuring risk management and profit protection.
- The strategy avoids choppy market conditions by only trading when significant momentum is present.
HOW USERS CAN BENEFIT FROM IT:
- Catch Strong Price Moves – The strategy helps traders enter trades when the market shows decisive momentum.
- Effective Risk Management – The ATR-based trailing stop ensures that winning trades remain profitable.
- Works Across Markets – Can be applied to stocks, forex, crypto, and indices with proper optimization.
- Fully Customizable – Users can adjust sensitivity settings to match their trading style and time frame.
Smart Scalper Indicator🎯 How the Smart Scalper Indicator Works
1. EMA (Exponential Moving Average)
EMA 10 (Blue Line):
Shows the short-term trend.
If the price is above this line, the trend is bullish; if below, bearish.
EMA 20 (Orange Line):
Displays the longer-term trend.
If EMA 10 is above EMA 20, it indicates a bullish trend (Buy signal).
2. SuperTrend
Green Line:
Represents support levels.
If the price is above the green line, the market is considered bullish.
Red Line:
Represents resistance levels.
If the price is below the red line, the market is considered bearish.
3. VWAP (Volume Weighted Average Price)
Purple Line:
Indicates the average price considering volume.
If the price is above the VWAP, the market is strong (Buy signal).
If the price is below the VWAP, the market is weak (Sell signal).
4. ATR (Average True Range)
Used to measure market volatility.
An increasing ATR indicates higher market activity, enhancing the reliability of signals.
ATR is not visually displayed but is factored into the signal conditions.
⚡ Entry Signals
Green Up Arrow (Buy):
EMA 10 is above EMA 20.
The price is above the SuperTrend green line.
The price is above the VWAP.
Volatility (ATR) is increasing.
Red Down Arrow (Sell):
EMA 10 is below EMA 20.
The price is below the SuperTrend red line.
The price is below the VWAP.
Volatility (ATR) is increasing.
🔔 Alerts
"Buy Alert" — Notifies when a Buy condition is met.
"Sell Alert" — Notifies when a Sell condition is met.
✅ How to Use the Indicator:
Add the indicator to your TradingView chart.
Enable alerts to stay updated on signal triggers.
Check the signal:
A green arrow suggests a potential Buy.
A red arrow suggests a potential Sell.
Set Stop-Loss:
Below the SuperTrend line or based on ATR levels.
Take Profit:
Target 1-2% for short-term trades.
Zen ABR### **Average Bar Range (ABR) Levels** – A Simple Yet Powerful Scalping Tool
The **ABR Levels** indicator dynamically calculates the **average bar range** and plots three key levels on your chart:
✅ **0.5x ABR** – Half the average bar range
✅ **1x ABR** – The full average bar range
✅ **2x ABR** – Double the average bar range
This provides an **instant volatility gauge**, helping traders adjust position size, stop losses, and targets **based on current market conditions** rather than arbitrary numbers.
### **How It Works**
- The indicator calculates **the average range of the last 8 bars** (default setting, adjustable).
- The **ABR levels update in real time**, appearing in the **top-right corner of your chart** for easy reference.
- Works across **any instrument and timeframe** – great for scalpers and intraday traders.
### **Why Use ABR Levels?**
🚀 **Avoid oversized losses** – Trade dynamically instead of using fixed stops and targets.
📉 **Recognize shifts in market conditions** – Identify when volatility is expanding or contracting.
🎯 **Refine your entries & exits** – Use ABR levels to **scale** your positions intelligently.
### **Pro Tip:**
Never enter a trade **aiming for half-R** profits. If a trade goes badly, **you might manage it to break even or half-R**, but aiming for tiny wins will **wreck your long-term edge**.
🔹 **This script is open-source!** If you're not on TradingView, you can copy the code into any AI tool to generate it for your platform. 🚀
Enhanced KLSE Banker Flow Oscillator# Enhanced KLSE Banker Flow Oscillator
## Description
The Enhanced KLSE Banker Flow Oscillator is a sophisticated technical analysis tool designed specifically for the Malaysian stock market (KLSE). This indicator analyzes price and volume relationships to identify potential smart money movements, providing early signals for market reversals and continuation patterns.
The oscillator measures the buying and selling pressure in the market with a focus on detecting institutional activity. By combining money flow calculations with volume filters and price action analysis, it helps traders identify high-probability trading opportunities with reduced noise.
## Key Features
- Dual-Timeframe Analysis: Combines long-term money flow trends with short-term momentum shifts for more accurate signals
- Adaptive Volume Filtering: Automatically adjusts volume thresholds based on recent market conditions
- Advanced Divergence Detection: Identifies potential trend reversals through price-flow divergences
- Early Signal Detection: Provides anticipatory signals before major price movements occur
- Multiple Signal Types: Offers both early alerts and strong confirmation signals with clear visual markers
- Volatility Adjustment: Adapts sensitivity based on current market volatility for more reliable signals
- Comprehensive Visual Feedback: Color-coded oscillator, signal markers, and optional text labels
- Customizable Display Options: Toggle momentum histogram, early signals, and zone fills
- Organized Settings Interface: Logically grouped parameters for easier configuration
## Indicator Components
1. Main Oscillator Line: The primary banker flow line that fluctuates above and below zero
2. Early Signal Line: Secondary indicator showing potential emerging signals
3. Momentum Histogram: Visual representation of flow momentum changes
4. Zone Fills: Color-coded background highlighting positive and negative zones
5. Signal Markers: Visual indicators for entry and exit points
6. Reference Lines: Key levels for strong and early signals
7. Signal Labels: Optional text annotations for significant signals
## Signal Types
1. Strong Buy Signal (Green Arrow): Major bullish signal with high probability of success
2. Strong Sell Signal (Red Arrow): Major bearish signal with high probability of success
3. Early Buy Signal (Blue Circle): First indication of potential bullish trend
4. Early Sell Signal (Red Circle): First indication of potential bearish trend
5. Bullish Divergence (Yellow Triangle Up): Price making lower lows while flow makes higher lows
6. Bearish Divergence (Yellow Triangle Down): Price making higher highs while flow makes lower highs
## Parameters Explained
### Core Settings
- MFI Base Length (14): Primary calculation period for money flow index
- Short-term Flow Length (5): Calculation period for early signals
- KLSE Sensitivity (1.8): Multiplier for flow calculations, higher = more sensitive
- Smoothing Length (5): Smoothing period for the main oscillator line
### Volume Filter Settings
- Volume Filter % (65): Minimum volume threshold as percentage of average
- Use Adaptive Volume Filter (true): Dynamically adjusts volume thresholds
### Signal Levels
- Strong Signal Level (15): Threshold for strong buy/sell signals
- Early Signal Level (10): Threshold for early buy/sell signals
- Early Signal Threshold (0.75): Sensitivity factor for early signals
### Advanced Settings
- Divergence Lookback (34): Period for checking price-flow divergences
- Show Signal Labels (true): Toggle text labels for signals
### Visual Settings
- Show Momentum Histogram (true): Toggle the momentum histogram display
- Show Early Signal (true): Toggle the early signal line display
- Show Zone Fills (true): Toggle background color fills
## How to Use This Indicator
### Installation
1. Add the indicator to your TradingView chart
2. Default settings are optimized for KLSE stocks
3. Customize parameters if needed for specific stocks
### Basic Interpretation
- Oscillator Above Zero: Bullish bias, buying pressure dominates
- Oscillator Below Zero: Bearish bias, selling pressure dominates
- Crossing Zero Line: Potential shift in market sentiment
- Extreme Readings: Possible overbought/oversold conditions
### Advanced Interpretation
- Divergences: Early warning of trend exhaustion
- Signal Confluences: Multiple signal types appearing together increase reliability
- Volume Confirmation: Signals with higher volume are more significant
- Momentum Alignment: Histogram should confirm direction of main oscillator
### Trading Strategies
#### Trend Following Strategy
1. Identify market trend direction
2. Wait for pullbacks shown by oscillator moving against trend
3. Enter when oscillator reverses back in trend direction with a Strong signal
4. Place stop loss below/above recent swing low/high
5. Take profit at previous resistance/support levels
#### Counter-Trend Strategy
1. Look for oscillator reaching extreme levels
2. Identify divergence between price and oscillator
3. Wait for oscillator to cross Early signal threshold
4. Enter position against prevailing trend
5. Use tight stop loss (1 ATR from entry)
6. Take profit at first resistance/support level
#### Breakout Confirmation Strategy
1. Identify stock consolidating in a range
2. Wait for price to break out of range
3. Confirm breakout with oscillator crossing zero line in breakout direction
4. Enter position in breakout direction
5. Place stop loss below/above the breakout level
6. Trail stop as price advances
### Signal Hierarchy and Reliability
From highest to lowest reliability:
1. Strong Buy/Sell signals with divergence and high volume
2. Strong Buy/Sell signals with high volume
3. Divergence signals followed by Early signals
4. Strong Buy/Sell signals with normal volume
5. Early Buy/Sell signals with high volume
6. Early Buy/Sell signals with normal volume
## Complete Trading Plan Example
### KLSE Market Trading System
#### Pre-Trading Preparation
1. Review overall market sentiment (bullish, bearish, or neutral)
2. Scan for stocks showing significant banker flow signals
3. Note key support/resistance levels for watchlist stocks
4. Prioritize trade candidates based on signal strength and volume
#### Entry Rules for Long Positions
1. Banker Flow Oscillator above zero line (positive flow environment)
2. One or more of the following signals present:
- Strong Buy signal (green arrow)
- Bullish Divergence signal (yellow triangle up)
- Early Buy signal (blue circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price above short-term moving average (e.g., 20 EMA)
- No immediate resistance within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Entry Rules for Short Positions
1. Banker Flow Oscillator below zero line (negative flow environment)
2. One or more of the following signals present:
- Strong Sell signal (red arrow)
- Bearish Divergence signal (yellow triangle down)
- Early Sell signal (red circle) with confirming price action
3. Entry confirmation requirements:
- Volume above 65% of 20-day average
- Price below short-term moving average (e.g., 20 EMA)
- No immediate support within 3% of entry price
4. Entry on the next candle open after signal confirmation
#### Position Sizing Rules
1. Base risk per trade: 1% of trading capital
2. Position size calculation: Capital × Risk% ÷ Stop Loss Distance
3. Position size adjustments:
- Increase by 20% for Strong signals with above-average volume
- Decrease by 20% for Early signals without confirming price action
- Standard size for all other valid signals
#### Stop Loss Placement
1. For Long Positions:
- Place stop below the most recent swing low
- Minimum distance: 1.5 × ATR(14)
- Maximum risk: 1% of trading capital
2. For Short Positions:
- Place stop above the most recent swing high
- Minimum distance: 1.5 × ATR(14)
- Maximum risk: 1% of trading capital
#### Take Profit Strategy
1. First Target (33% of position):
- 1.5:1 reward-to-risk ratio
- Move stop to breakeven after reaching first target
2. Second Target (33% of position):
- 2.5:1 reward-to-risk ratio
- Trail stop at previous day's low/high
3. Final Target (34% of position):
- 4:1 reward-to-risk ratio or
- Exit when opposing signal appears (e.g., Strong Sell for long positions)
#### Trade Management Rules
1. After reaching first target:
- Move stop to breakeven
- Consider adding to position if new confirming signal appears
2. After reaching second target:
- Trail stop using banker flow signals
- Exit remaining position when:
- Oscillator crosses zero line in opposite direction
- Opposing signal appears
- Price closes below/above trailing stop level
3. Maximum holding period:
- 20 trading days for trend-following trades
- 10 trading days for counter-trend trades
- Re-evaluate if targets not reached within timeframe
#### Risk Management Safeguards
1. Maximum open positions: 5 trades
2. Maximum sector exposure: 40% of trading capital
3. Maximum daily drawdown limit: 3% of trading capital
4. Mandatory stop trading rules:
- After three consecutive losing trades
- After reaching 5% account drawdown
- Resume after two-day cooling period and strategy review
#### Performance Tracking
1. Track for each trade:
- Signal type that triggered entry
- Oscillator reading at entry and exit
- Volume relative to average
- Price action confirmation patterns
- Holding period
- Reward-to-risk achieved
2. Review performance metrics weekly:
- Win rate by signal type
- Average reward-to-risk ratio
- Profit factor
- Maximum drawdown
3. Adjust strategy parameters based on performance:
- Increase position size for highest performing signals
- Decrease or eliminate trades based on underperforming signals
## Advanced Usage Tips
1. Combine with Support/Resistance:
- Signals are more reliable when they occur at key support/resistance levels
- Look for banker flow divergence at major price levels
2. Multiple Timeframe Analysis:
- Use the oscillator on both daily and weekly timeframes
- Stronger signals when both timeframes align
- Enter on shorter timeframe when confirmed by longer timeframe
3. Sector Rotation Strategy:
- Compare banker flow across different sectors
- Rotate capital to sectors showing strongest positive flow
- Avoid sectors with persistent negative flow
4. Volatility Adjustments:
- During high volatility periods, wait for Strong signals only
- During low volatility periods, Early signals can be more actionable
5. Optimizing Parameters:
- For more volatile stocks: Increase Smoothing Length (6-8)
- For less volatile stocks: Decrease KLSE Sensitivity (1.2-1.5)
- For intraday trading: Reduce all length parameters by 30-50%
## Fine-Tuning for Different Markets
While optimized for KLSE, the indicator can be adapted for other markets:
1. For US Stocks:
- Reduce KLSE Sensitivity to 1.5
- Increase Volume Filter to 75%
- Adjust Strong Signal Level to 18
2. For Forex:
- Increase Smoothing Length to 8
- Reduce Early Signal Threshold to 0.6
- Focus more on divergence signals than crossovers
3. For Cryptocurrencies:
- Increase KLSE Sensitivity to 2.2
- Reduce Signal Levels (Strong: 12, Early: 8)
- Use higher Volume Filter (80%)
By thoroughly understanding and properly implementing the Enhanced KLSE Banker Flow Oscillator, traders can gain a significant edge in identifying institutional money flow and making more informed trading decisions, particularly in the Malaysian stock market.
ICT NY Kill Zone Auto Trading### **ICT NY Kill Zone Auto Trading Strategy (5-Min Chart)**
#### **Overview:**
This strategy is based on Inner Circle Trader (ICT) concepts, focusing on the **New York Kill Zone**. It is designed for trading GBP/USD exclusively on the **5-minute chart**, automatically entering and exiting trades during the US session.
#### **Key Components:**
1. **Time Filter**
- The strategy only operates during the **New York Kill Zone (9:30 AM - 11:00 AM NY Time)**.
- It ensures execution only on the **5-minute timeframe**.
2. **Fair Value Gaps (FVGs) Detection**
- The script identifies areas where price action left an imbalance, known as Fair Value Gaps (FVGs).
- These gaps indicate potential liquidity zones where price may return before continuing in the original direction.
3. **Order Blocks (OBs) Identification**
- **Bullish Order Block:** Occurs when price forms a strong bullish pattern, suggesting further upside movement.
- **Bearish Order Block:** Identified when a strong bearish formation signals potential downside continuation.
4. **Trade Execution**
- **Long Trade:** Entered when a bullish order block forms within the NY Kill Zone and aligns with an FVG.
- **Short Trade:** Entered when a bearish order block forms within the Kill Zone and aligns with an FVG.
5. **Risk Management**
- **Stop Loss:** Fixed at **30 pips** to limit downside risk.
- **Take Profit:** Set at **60 pips**, providing a **2:1 risk-reward ratio**.
6. **Visual Aids**
- The **Kill Zone is highlighted in blue** to help traders visually confirm the active session.
**Objective:**
This script aims to **capitalize on institutional price movements** within the New York session by leveraging ICT concepts such as FVGs and Order Blocks. By automating trade entries and exits, it eliminates emotions and ensures a disciplined trading approach.
