Williams %R + RSI StrategyBuy Signal:
Triggers when Williams %R crosses above its lower band (-80).
RSI crosses above its lower band (20).
Sell Signal:
Triggers when Williams %R crosses below its upper band (-20).
RSI crosses below its upper band (80).
Indicators and strategies
Gold Scalper v1The Gold Scalper is a precise and effective trading strategy designed specifically for gold markets. It combines Bollinger Bands and RSI indicators to identify optimal entry and exit points for both long and short positions.
Key Features:
RSI-Based Conditions:
A customizable RSI period to evaluate overbought and oversold conditions.
Dynamic cross-over and cross-under conditions ensure accurate market entries.
Bollinger Bands Integration:
Analyzes price movements relative to the upper and lower Bollinger Bands.
Supported by a moving average (basis line) to visualize market trends.
Automated Long and Short Strategies:
Long: Triggered when the RSI crosses above the oversold level and the price rises above the lower Bollinger Band.
Short: Triggered when the RSI crosses below the overbought level and the price falls below the upper Bollinger Band.
Visual Representation:
Clearly defined Bollinger Bands with shaded areas for easy scalping visualization.
Price Action Strategy with 98% AccuracyPrice Action Strategy with 98% Accuracy. Review it and let me know . auto buy and signal generated on this strategy.
MultiLayer Acceleration/Deceleration Strategy [Skyrexio]Overview
MultiLayer Acceleration/Deceleration Strategy leverages the combination of Acceleration/Deceleration Indicator(AC), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Acceleration/Deceleration Indicator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Acceleration/Deceleration shall create one of two types of long signals (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created long signal.
4. If price reaches the order price, long position is opened with 10% of capital.
5. If currently we have opened position and price creates and hit the order price of another one long signal, another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously.
6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA.
The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades.
By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics.
Now let's talk about Acceleration/Deceleration signals. AC indicator is calculated using the Awesome Oscillator, so let's first of all briefly explain what is Awesome Oscillator and how it can be calculated. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula:
AC = AO − SMA5(AO), where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator
When the AC is above the zero line and rising, it suggests accelerating upward momentum.
When the AC is below the zero line and falling, it indicates accelerating downward momentum.
When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum.
Now we can explain which AC signal types are used in this strategy. The first type of long signal is when AC value is below zero line. In this cases we need to see three rising bars on the histogram in a row after the falling one. The second type of signals occurs above the zero line. There we need only two rising AC bars in a row after the falling one to create the signal. The signal bar is the last green bar in this sequence. The strategy places the buy stop order one tick above the candle's high, which corresponds to the signal bar on AC indicator.
After that we can have the following scenarios:
Price hit the order on the next candle in this case strategy opened long with this price.
Price doesn't hit the order price, the next candle set lower high. If current AC bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AC bar become decreasing. In the second case buy order cancelled and strategy wait for the next AC signal.
If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. All open trades are closed when the trend shifts to a downtrend, as determined by the combination of the Alligator and Fractals described earlier.
Why we use AC signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC bars after period of falling AC bars indicates the high probability of local pull back end and there is a high chance to open long trade in the direction of the most likely main uptrend. The numbers of rising bars are different for the different AC values (below or above zero line). This is needed because if AC below zero line the local downtrend is likely to be stronger and needs more rising bars to confirm that it has been changed than if AC is above zero.
Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next AC signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.11.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -5.15%
Maximum Single Profit: +24.57%
Net Profit: +2108.85 USDT (+21.09%)
Total Trades: 111 (36.94% win rate)
Profit Factor: 2.391
Maximum Accumulated Loss: 367.61 USDT (-2.97%)
Average Profit per Trade: 19.00 USDT (+1.78%)
Average Trade Duration: 75 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
15-Minute Optimized OB + Trend StrategyCore Components
Trend Identification (15-minute timeframe):
Uses two Exponential Moving Averages (EMAs):
Short EMA (20-period): Represents short-term momentum.
Long EMA (50-period): Represents medium-term momentum.
The strategy identifies a bullish trend when the short EMA is above the long EMA and a bearish trend when the short EMA is below the long EMA.
Higher Timeframe Bias (1-hour timeframe):
Incorporates a 100-period EMA from the 1-hour chart.
Bias is bullish if the current price is above this EMA and bearish if it is below.
Order Block Detection:
Identifies bearish order blocks when:
The candle is red (close < open).
The high matches the highest high in the last 30 bars.
Identifies bullish order blocks when:
The candle is green (close > open).
The low matches the lowest low in the last 30 bars.
Risk Management:
Stop-loss is calculated using the ATR (Average True Range) multiplied by a configurable factor (default: 2.0).
Take-profit is set based on a risk-reward ratio (default: 2.0).
Trade Execution:
A maximum of 7 trades per day is allowed.
Long trades are executed when:
The trend is bullish (15-minute EMA conditions).
The bias is bullish (price above the 1-hour EMA).
A bullish order block is detected.
Short trades are executed under the opposite conditions.
Visual Feedback
The script plots:
The short EMA (blue), long EMA (red), and bias EMA (green) for clarity.
A background highlight in green when long conditions are met and in red for short conditions.
This Pine Script strategy for TradingView is a multi-timeframe order block and trend-following strategy designed for trading on a 15-minute timeframe. Here's a breakdown of its components and how it operates:
Core Components
Trend Identification (15-minute timeframe):
Uses two Exponential Moving Averages (EMAs):
Short EMA (20-period): Represents short-term momentum.
Long EMA (50-period): Represents medium-term momentum.
The strategy identifies a bullish trend when the short EMA is above the long EMA and a bearish trend when the short EMA is below the long EMA.
Higher Timeframe Bias (1-hour timeframe):
Incorporates a 100-period EMA from the 1-hour chart.
Bias is bullish if the current price is above this EMA and bearish if it is below.
Order Block Detection:
Identifies bearish order blocks when:
The candle is red (close < open).
The high matches the highest high in the last 30 bars.
Identifies bullish order blocks when:
The candle is green (close > open).
The low matches the lowest low in the last 30 bars.
Risk Management:
Stop-loss is calculated using the ATR (Average True Range) multiplied by a configurable factor (default: 2.0).
Take-profit is set based on a risk-reward ratio (default: 2.0).
Trade Execution:
A maximum of 7 trades per day is allowed.
Long trades are executed when:
The trend is bullish (15-minute EMA conditions).
The bias is bullish (price above the 1-hour EMA).
A bullish order block is detected.
Short trades are executed under the opposite conditions.
Visual Feedback
The script plots:
The short EMA (blue), long EMA (red), and bias EMA (green) for clarity.
A background highlight in green when long conditions are met and in red for short conditions.
Strengths
Multi-timeframe approach: Combines short-term trend signals with higher timeframe confirmation.
Order blocks: Focuses on areas where institutions may have entered, aligning with strong price action zones.
Risk management: Ensures controlled exposure with ATR-based stop-loss and predefined risk-reward.
Limitations
Sensitivity to parameters: The strategy's performance may vary depending on the chosen EMA lengths, ATR multiplier, and lookback period for order blocks.
Trade frequency: While capped at 7 trades per day, the strategy might not meet this limit in lower-volatility environments.
Execution precision: Real-world slippage and latency might impact performance.
ADET GİRMELİ Trend İz Süren Stop StrategyATR üzerinden iz süren bir stratejidir. Atr periyotlarını ayarlayabilirsiniz. Alım ve satım adedini kendiniz belirleyebilirsiniz. Portföyünüzü takip ederek alım satım kararlarını verir. Hisselere göre değişmekle birlikte 5 Dk, 15 Dk, 30 Dk, 1S, 2S gibi orta sayılabilecek zaman dilimlerinde iyi çalışır. Tarama ile belirlediğiniz 39 hisseyi tarar.
It is a strategy that follows the ATR. You can set the Atr periods. You can determine the number of purchases and sales by yourself. It makes trading decisions by tracking your portfolio. Although it varies according to the shares, it works well in medium-sized time periods such as 5 Min, 15 Min, 30 Min, 1S, 2S. It scans the 39 stocks you specify with the scan.
Precision Trading Strategy: Golden EdgeThe PTS: Golden Edge strategy is designed for scalping Gold (XAU/USD) on lower timeframes, such as the 1-minute chart. It captures high-probability trade setups by aligning with strong trends and momentum, while filtering out low-quality trades during consolidation or low-volatility periods.
The strategy uses a combination of technical indicators to identify optimal entry points:
1. Exponential Moving Averages (EMAs): A fast EMA (3-period) and a slow EMA (33-period) are used to detect short-term trend reversals via crossover signals.
2. Hull Moving Average (HMA): A 66-period HMA acts as a higher-timeframe trend filter to ensure trades align with the overall market direction.
3. Relative Strength Index (RSI): A 12-period RSI identifies momentum. The strategy requires RSI > 55 for long trades and RSI < 45 for short trades, ensuring entries are backed by strong buying or selling pressure.
4. Average True Range (ATR): A 14-period ATR ensures trades occur only during volatile conditions, avoiding choppy or low-movement markets.
By combining these tools, the PTS: Golden Edge strategy creates a precise framework for scalping and offers a systematic approach to capitalize on Gold’s price movements efficiently.
Volume-Weighted Delta Strategy[Kopottaja]Volume-Weighted Delta Strategy
The Volume-Weighted Delta Strategy combines price movement and trading volume to identify potential bullish and bearish market conditions. The strategy calculates a delta value that measures the difference between the close and open prices, weighted by volume over a specified period. This delta is compared against its moving average (SMA) to determine potential trend changes. Key features include:
Volume-Weighted Delta Calculation:
The delta is calculated by summing up the volume-weighted differences between close and open prices over the defined length (Delta Length).
Trend Identification:
If the delta value crosses above its SMA, the strategy interprets this as a bullish condition.
If the delta value crosses below its SMA, the strategy interprets this as a bearish condition.
EMA Integration:
A 20-period EMA is included as an additional trend indicator. The EMA line changes color based on whether the delta value is above or below its SMA:
Green: Bullish (delta > SMA)
Red: Bearish (delta < SMA)
Volume Filter:
A volume threshold can be applied to ensure trades are only executed when significant volume is present, helping to avoid false signals in low-volume conditions.
Entry Conditions:
Buy: When the delta crosses below its SMA (bearish signal).
Sell: When the delta crosses above its SMA (bullish signal).
Customizable Inputs:
Length for delta calculation (Delta Length)
Length for moving average (MA Length)
Volume threshold for trade activation
Optimal Timeframes:
This strategy works best on the 4-hour and 1-day timeframes, where volume and price trends are more stable, reducing noise from smaller timeframes.
How It Works:
This strategy is ideal for traders leveraging the relationship between price movement, volume, and trend indicators. Focusing on volume-weighted price action aims to provide a clearer picture of market sentiment, improving the accuracy of entry and exit signals.
15min BTC AutoBotThis TradingView script is an automated trading bot for Bitcoin on the 15-minute chart. It uses exponential moving averages (EMAs) to generate buy and sell signals, combined with dynamic take-profit and stop-loss levels based on customizable percentages. The focus is on automated strategy execution without additional chart visualizations. Perfect for traders seeking a minimalist and efficient trading automation solution.
EMA Crossover StrategyThis script implements a crossover strategy using two Exponential Moving Averages (EMAs):
A short EMA (default: 14 periods) to capture short-term trends.
A long EMA (default: 100 periods) to capture longer-term trends.
The strategy generates buy and sell signals when these EMAs cross each other:
Buy Signal: Occurs when the short EMA crosses above the long EMA, indicating a bullish trend.
Sell Signal: Occurs when the short EMA crosses below the long EMA, indicating a bearish trend.
This strategy is suitable for traders looking to capitalize on trend reversals and momentum-based entries.
RSI kethamlamkhông biết nói gì xanh thì mua đỏ thì bán
tài khoản dương thì chốt tài khoản âm cũng chốt
First 5-Minute High, Mid, Low with Custom Range BacktestFirst 5-Minute High, Mid, Low with Custom Range Backtest
High 5 Trading TechniqueI have been trying to make a strategy from David Pauls high five trading technique. here is my script, please try it out and refine it. Maybe I missed something.
The idea is to define the trend with the 21 and 89 sma and take long trades when price falls back to the 5 ema low when price is above the 21 and 89 sma and vice versa for shorts, take shorts when price rises to the 5 ema high. parameters are set for trading indices, so for forex please adjust is to work with pips instead of points.
ETHUSD VWAP Fade StrategyHere are three key reasons why this strategy could work and be profitable:
1. Mean Reversion Principle:
The strategy capitalizes on the natural tendency of price movements to revert to the mean (VWAP) after extreme deviations. By fading moves outside the 2-standard deviation bands, it exploits overbought and oversold conditions, providing high-probability trade opportunities.
2. VWAP as a Reliable Benchmark:
VWAP is widely used by institutional traders as a fair value indicator. Trading around VWAP levels aligns with how larger market participants operate, ensuring the strategy benefits from high liquidity zones and predictable price behavior.
3. Risk-Managed Entries and Exits:
The strategy uses objective rules for entering (based on bands) and exiting (on VWAP reversion), which reduces emotional decision-making and limits drawdowns, allowing for consistent returns over time.
Advanced Adaptive Trend Following V2Gemini Enhanced Adaptive Trend Following Stragety. Created for free, given for free
MVO 3.1MVO 3.1 Strategy Description
The MVO 3.1 Strategy is a momentum-based trading system that combines multiple technical indicators and pattern recognition tools to identify high-probability entry and exit points in the market. It integrates elements such as the Money Flow Index (MFI), Relative Strength Index (RSI), Bollinger Bands, and a custom ZigZag trend-following algorithm to adapt dynamically to market conditions.
Key Components:
1. Money Flow Index (MFI):
• Identifies overbought (MFI > 80) and oversold (MFI < 20) levels to signal potential reversals or momentum continuations.
2. RSI and QQE:
• Smoothed RSI values are used in conjunction with QQE (Quantitative Qualitative Estimation) to gauge momentum and trend strength.
3. Bollinger Bands:
• Used to capture price volatility and determine key support/resistance levels for entry/exit decisions.
4. ZigZag Pattern Detection:
• Tracks price swings to confirm trend direction and validate bullish/bearish setups based on price structure.
5. Dynamic Position Management:
• Allows incremental position sizing and dynamic stop-loss/profit-taking mechanisms based on MFI levels and custom thresholds.
6. Short and Long Trades:
• Supports both long and short trades, with customizable parameters for profit percentage and safety orders.
Key Features:
• Customizable Dashboard: Displays key metrics like profit, open positions, average price, and net profitability directly on the chart.
• Adaptive Entries and Exits: Combines indicator crosses (e.g., RSI/QQE and Bollinger Bands) with MFI conditions to dynamically adjust trading signals.
• Backtesting Support: Includes date-range inputs to perform historical backtests for evaluating strategy performance.
This strategy is ideal for traders looking to combine momentum, trend-following, and mean-reversion techniques in a single system, with clear visualizations and robust risk management capabilities.
Ram's Alt Coin SlayerLong Bot Strategy
Indicators:
(1) Market Slayer - lean on this indicator for buy signals only, no shorts
(2) EMA (9, 21, 50) - leverage 3 emas for strong trend confirmation (EMA9 > EMA 21 > EMA50)
This strategy works well on the 5 min chart with high volume and high volatility alt coins in a bull market (PEPE, GALA, MANA, etc)
Stochastic RSI Long Strategy with 100 EMA Stop LossFor those who wants to catch a bull run. The best timeframe to use is 1h,30m,4h. You can also use it on lower timeframes, but you need to be carefully and understand the direction of movement
Candle Close StrategyExplanation
This script will execute the trading strategy on a 1-minute timeframe.
only works with gold
It risks 1% of the account balance per trade.
It enters a long position after a bullish candlestick and a short position after a bearish candlestick.
It limits the number of trades to 200 per day.
It closes trades after the next candlestick.
EMA Cross - 15 and 50it has more profitable trade more than 30% and also manages risk and reward ratio properly
Rajendra7,21,200ema cross of 7 ema and 21 day ema also cross of 7 and21 over 200 day ema its creat bye or sell signal