Coinbase + BINANCE + BITFINEX Premium Index StrategyThe premium Index helps traders identify moments of increased buying pressure among U.S. investors, often indicative of bullish momentum on lower timeframes. Use this tool to monitor premium dynamics and gain a clearer understanding of market sentiment across major exchanges.
지표 및 전략
5 EMA / 20 EMA Crossover Strategy5 EMA / 20 EMA Crossover Strategy
shortEMA: The 5-period EMA.
longEMA: The 20-period EMA.
ta.crossover(ema5, ema20): This function checks if the 5-period EMA crosses above the 20-period EMA, generating a buy signal.
ta.crossunder(ema5, ema20): This function checks if the 5-period EMA crosses below the 20-period EMA, generating a sell signal.
strategy.entry("Buy", strategy.long): This function enters a long position when a buy signal is triggered.
strategy.close("Buy"): This closes the long position when a sell signal is triggered.
The strategy also includes visual markers (plotshape) to highlight buy and sell signals on the chart with labels "BUY" and "SELL."
RMA 15 and RMA 10 Cross Strategy (Exit on Next Signal)
The RMA Cross Strategy involves using two Rolling Moving Averages (RMA), typically one with a short period (e.g., 10) and another with a longer period (e.g., 15). The strategy generates trading signals based on the crossover of these RMAs:
Signals:
Buy Signal: When the RMA with a shorter period (RMA 10) crosses above the RMA with a longer period (RMA 15), indicating an upward trend.
Sell Signal: When the RMA with a shorter period (RMA 10) crosses below the RMA with a longer period (RMA 15), indicating a downward trend.
BBDIV_StrategyBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2HBollinger Bands Divergence Strategy 2H
EMA Cross with both MinhTuanChiến lược này đơn giản.
Ema 9 cắt 21 trên ema 200 thì long.
Ema 9 cắt 21 dưới ema 200 thì short.
Có tuỳ chỉnh both cho anh em lựa chọn.
Chúc ae sẽ có nhiều may mắn giao dịch.
Vĩnh long =))
Gold SniperA high-performance strategy tailored for XAUUSD trading. Optimized for maximum profitability with adjustable Take Profit and Stop Loss levels. Suitable for traders aiming for precision and consistency.
teambot 10 auto trader , does the trading for you , you must knwo the rules of your account can hurt by making too much , check if there is a limit on amout you can make a day , this bot will catch big winners and stop the big loosers , great luck , welcome to the gypse life
MACD + EMA Strategy by RHMACD and EMA Trend Strategy
This strategy combines the MACD and 200-period EMA for trend-following trades.
Long Entry:
MACD Line crosses above Signal Line.
Price is above 200 EMA.
Short Entry:
MACD Line crosses below Signal Line.
Price is below 200 EMA.
Exits:
Opposite signals close positions.
It captures trends and avoids false signals by filtering with EMA.
TrendXpert by QuantdexTrendXpert by Quantdex is a sophisticated trading strategy designed to identify key market trends and provide actionable buy and sell signals for maximum profitability. Developed by Quantdex, a leader in advanced market analysis, this strategy leverages a dynamic approach to market trend identification, ensuring traders can stay ahead of price movements in both trending and volatile market conditions.
Key Features:
Smart Trend Detection: TrendXpert analyzes market price movements and identifies the most reliable trend shifts, providing traders with accurate signals to enter or exit positions at optimal points.
Customizable Signals: Traders have the flexibility to choose whether they want to focus on buy signals, sell signals, or both, depending on their trading preferences and market outlook.
Risk-Managed: The strategy is designed with risk management in mind, ensuring that only high-probability trades are executed. It helps prevent unnecessary losses while capitalizing on strong market trends.
Ease of Use: TrendXpert is simple to apply and can be integrated into any trading plan. Its user-friendly design makes it suitable for both beginner and experienced traders.
Backtested Performance: The strategy has been rigorously backtested to ensure consistent results over different market conditions, ensuring reliability and performance.
Benefits:
Precision: TrendXpert focuses on pinpointing the most promising market trends, allowing traders to capture significant price movements with minimal risk.
Flexibility: With the option to enable or disable specific signal types, traders can tailor the strategy to their unique trading style.
Real-Time Alerts: The strategy provides real-time notifications, keeping traders informed of trend shifts as they happen, allowing for timely decision-making.
Whether you're a swing trader or a day trader, TrendXpert by Quantdex is the perfect tool to enhance your market analysis and improve your trading outcomes. Its powerful algorithm, combined with easy-to-use features, makes it an essential part of any trader's toolkit
Maximize Profits with Precision & Trend Confirmation. BacktestedThis strategy is built for traders seeking a robust, data-driven approach to capitalizing on bullish market trends while minimizing risk. By combining advanced percentage-increase conditions, trend-based filters, and dynamic take-profit (TP) and stop-loss (SL) management, it offers a finely tuned tool for consistent performance in volatile markets.
Click on "Strategy Report" to see the high returns with high win rate, where returns grow even when the underlying crypto is in a lateral or bearish phase.
Key Features:
Dual Bullish Trend Filtering
Employs two powerful bullish trend conditions to ensure high-probability trade entries by confirming long-term and short-term trend alignment.
Dynamic Take-Profit & Stop-Loss Adjustments
Automatically adapts TP and SL levels based on EMA crossovers, keeping your trades secure even during market corrections.
Advanced Percentage & Volatility Filters
Leverages precise percentage-increase and volatility thresholds to filter out noise and identify optimal trade opportunities.
Customizable Parameters
Tailored for flexibility, with inputs for timeframes, percentage changes, EMA lengths, and more, allowing you to align the strategy with your trading style.
In 10 minutes you can find the optimal parameter for a number of different Crypto and time interval so that the Tradingview's backtesting shows high returns with high win rate (+85%).
Auto-Close Safety Net
Automatically closes positions after a set number of bars, providing added risk management and discipline.
Visual Alerts
Includes intuitive labels for buy and sell signals, ensuring clarity in trade execution.
Why Choose This Strategy?
Designed for bullish and lateral markets, it combines the strength of two trend confirmation layers with granular risk management tools.
Ideal for traders focused on short-medium term profit capture while safeguarding their capital with tightly controlled SL mechanisms.
Backtested for reliability and fine-tuned for real-world market conditions.
💼 How to Access:
This is an invite-only script available for traders who value precision and performance. Payments are handled externally to simplify the process and ensure direct access. Contact me to subscribe and take the first step toward enhanced trading success. I will support you in the configuration of the parameters with real example.
Disclaimer: Trading involves significant risk. This strategy is a tool to assist decision-making but does not guarantee profits. Always trade responsibly and manage your risk appropriately.
EMA Cross with RSI StrategyStrategy Explanation :
This strategy, developed by İbrahim Çakır, utilizes EMA (Exponential Moving Average) and RSI (Relative Strength Index) indicators to generate precise buy and sell signals. Here's how it works:
How the Strategy Works:
Buy Signal:
When the short EMA (EMA 5) crosses above the long EMA (EMA 20).
RSI value is above the threshold of 55.
When both conditions are met, the strategy initiates a "Buy" position.
Sell Signal:
When a 3% profit is achieved.
When a 1% loss is incurred.
If either of these conditions is met, the open position is closed.
Position Management:
Once a position is opened, the entry price is recorded.
The target profit and stop loss levels are calculated:
Take Profit: 3% above the entry price.
Stop Loss: 1% below the entry price.
Additional Features:
EMA values are plotted on the chart: blue for the short EMA and red for the long EMA.
Buy signals are marked with upward labels, and sell signals are marked with downward labels on the chart.
This strategy is designed for short-term trading and focuses on strict risk management. The parameters, such as EMA lengths, RSI threshold, and profit/loss percentages, can be adjusted through the input settings on TradingView, allowing users to tailor the strategy to their preferences.
You can now publish this explanation along with the strategy code on TradingView! Let me know if you need further assistance.
My strategy{ "secret": "eyJhbGciOiJIUzI1NiJ9.eyJzaWduYWxzX3NvdXJjZV9pZCI6MTA1NTM1fQ.LjhZON_V472svSJ-DYbE8zFstu01THnQ5pOiaFixEEY", "max_lag": "300", "timestamp": "{{timenow}}", "trigger_price": "{{close}}", "tv_exchange": "{{exchange}}", "tv_instrument": "{{ticker}}", "action": "{{strategy.order.action}}", "bot_uuid": "1eb94d98-de6e-4a1c-810c-edfc0a713306", "strategy_info": { "market_position": "{{strategy.market_position}}", "market_position_size": "{{strategy.market_position_size}}", "prev_market_position": "{{strategy.prev_market_position}}", "prev_market_position_size": "{{strategy.prev_market_position_size}}" }, "order": { "amount": "{{strategy.order.contracts}}", "currency_type": "base" }}
Advanced Intraday Analysis & Trading StrategyTO ONLY BE USED FOR LOW FLOAT STOCKS WITH MARKET CAP LESS THAN $1 BILLION, This strategy is tailored for intraday traders and scalpers, providing automated entry and exit signals for dynamic market conditions. It combines technical indicators, volume analysis, and price action to optimize trading performance.
The code is suitable for stocks with high volatility and volume, offering adaptability through customizable input parameters such as trailing stop percentages and profit targets. By incorporating advanced exit logic, the script aims to maximize gains while minimizing risks in various market scenarios.
Overlay: The script plots data directly on the price chart.
Precision: Values are displayed with 2 decimal places.
Initial Capital: The strategy assumes $1700 as the starting capital for calculating position sizing.
2. Candlestick Pattern Detection
Small Body Long Wick:
A candlestick pattern where the body size (difference between open and close) is small relative to the total range (difference between high and low).
Input Parameter: Body Threshold Percentage defines the threshold for a "small body."
Use Case: Identifying potential indecision or reversal points in the market.
3. Cumulative Day Volume
Calculates cumulative volume for the current day:
Resets at the start of a new trading session (is_new_day).
Plot: Displays the cumulative volume on the chart to assess trading activity.
4. MACD (Moving Average Convergence Divergence)
A widely used momentum indicator with:
Fast and slow EMA inputs.
Signal line for crossovers.
Alerts:
When the histogram transitions from positive to negative or vice versa, alerts are triggered.
5. Premarket Analysis
Tracks premarket price action:
Captures the open price of the premarket session and calculates percentage gains.
Color-Coding: Green for positive and red for negative percentage changes.
6. Opening Price & Session Levels
Session Open:
Captures and plots the opening price of the main trading session at 9:30 AM.
Includes horizontal lines for session high and low.
Reset Conditions: Automatically updates for a new trading day.
7. Volume x Price (VxP) Momentum
Compares the momentum of recent trading activity with the cumulative session activity:
Calculates cumulative price-volume (VxP) for both session start and last 15 bars.
Output: Ratio of VxP between the session and recent bars to highlight momentum changes.
8. Trend Analysis Using EMAs
Three Exponential Moving Averages (EMA):
Long-term (200-period), medium-term (50-period), and short-term (20-period).
Trend Identification:
Bullish: 20 EMA > 50 EMA > 200 EMA.
Bearish: Reverse order of EMAs.
9. Position Sizing
Calculates the number of shares to buy with a quarter of the initial capital ($1700) based on the current close price.
Displays the value on the chart.
10. Other Features
Price Thresholds:
Defines conditions for stocks below $4 or $2 for tighter stop-loss settings.
Dynamic Background:
Changes based on VxP ratio, providing visual cues for momentum shifts.
Customizable Inputs:
Many parameters (e.g., EMA lengths, thresholds) are adjustable for flexibility.
VWAP and Bands Calculation:
VWAP is recalculated with flexible anchoring options, including unique time periods (Session, Week, Month, etc.) and events (Earnings, Dividends, Splits).
Upper and lower VWAP bands are computed using either standard deviation or percentage-based calculations.
Consecutive Bars Above Bands:
Tracks consecutive bars closing above each VWAP band (up to 5 bands).
Resets the count if a bar fails to close above the respective band.
Background Highlighting (Commented Out):
Logic for highlighting the background when a threshold of consecutive bars (e.g., 5 or more) above a band is reached.
Currently commented out but easy to activate for visual cues.
Variable Initialization:
Uses var for persistent variables to track states and counts across script runs.
Signal Plotting Preparation:
Variables for plotting signals (e.g., plotSignal1) are defined, though the logic for plotting them isn't implemented yet.
Core Logic
Entry Conditions
Long entry conditions require price confirmation above both VWAP (Volume Weighted Average Price) and TWAP (Time Weighted Average Price).
Avoids entries during declining volume or when the last three bars closed below VWAP to prevent entering in downtrends or volatile pullbacks.
Incorporates several monetary volume conditions (condH, cond10M, etc.) to filter trades based on trade sizes and specific thresholds.
Trade Management
The script manages trades using variables such as tradeCount to limit entries and ensure logical flow.
Tracks highestPrice after entry to enable trailing stops.
Includes flags to control entry availability and reset trade states when a session ends.
Exit Conditions
Incorporates trailing stops based on price ranges and percentage thresholds.
Defines multiple stop-loss mechanisms tailored for different stock price ranges (e.g., <$4, <$2).
Uses a trailing stop strategy for the first 10 minutes after market open for quicker risk management.
Forces exits when critical conditions are breached, such as 15 consecutive bars closing below the entry price or price falling below VWAP/TWAP.
Advanced Features
Handles session resets to reinitialize variables.
Accounts for varying stock price ranges to adjust trailing stops and stop-loss percentages dynamically.
Detects and responds to significant events such as new session starts, high volume trades, and quick profitability opportunities.
Key Features:
Trailing Stop Loss and Take Profit:
Implements dynamic trailing stop losses based on specific conditions such as the percentage range of price movements and timeframes.
For example, in the first two or five minutes of market open, trailing stops are adjusted based on price and volume trends.
Exit Conditions:
Volume and Price Trends: Exits are triggered when decreasing volume and price trends indicate a reversal or weakness in the position.
VWAP Bands: Uses VWAP band levels to identify overextended moves, exiting positions when prices cross these levels.
EMA200 Cross: Closes positions when prices fall below the 200 EMA, signaling a bearish trend.
Profit Targets: Takes profit at specific thresholds (e.g., 5%, 30%) based on rapid price movements.
Specific Scenarios for Exit Strategies:
Doji at Market Open: Exits positions if a Doji candlestick appears during the first minute, coupled with a 5% profit threshold.
Volume Profile Red Zone: Implements trailing stops specific to red zones in the volume profile to secure profits.
Adaptive Logic Based on Market Conditions:
Bearish Indicators: Exits positions during bearish MACD crossovers or decreasing monetary volume combined with MACD red conditions.
Pivot Levels: Exits positions if the price closes below a significant pivot high shortly after entry.
Loss Recovery Mechanism: Adjusts trading bias to short positions after multiple consecutive losses or significant stock value drops.
Time-Based Exit:
Ensures all trades are closed at the end of the trading day to avoid overnight risk.
Testing and Scalability:
Includes sections marked for testing and potential enhancements, such as integrating additional trailing stop logic and refining conditions for specific market patterns.
Miko Kerb VIX9D/VIX6Munder construction
Strategia of Kerberosa
VIX9D/VIX6M
- 3D MovingAverage
- 9D MovingAverage
LONG when
fear was >0.90
+
3D closes under 0.9
or
3D closes under 9D
Supply and Demand - Order Block StrategyCore Concepts:
Fractals: The strategy uses Bill Williams fractals to identify potential turning points in the market. A fractal high is formed when a high is higher than the n bars on either side, and a fractal low is formed when a low is lower than the n bars on either side. The parameter n is an input, and allows you to configure the lookback for the fractal identification.
Order Blocks (Supply and Demand Zones): The strategy defines order blocks (supply and demand zones) as the last red (bearish) candle before an upward break (demand zone) and the last green (bullish) candle before a downward break (supply zone).
Breakouts: The strategy triggers long entries when the price breaks above a demand zone and short entries when the price breaks below a supply zone.
Box Tracking: The strategy visually represents these order blocks using boxes.
Breakout Logic:
topBreakCheckSource and bottomBreakCheckSource are used to define the break-out check based on user input.
If the price crosses over the topValue (the high of the last fractal) and topBreakBlock is not set, then a long entry is generated after creating a demandBox, based on the last red candle's low and high.
If the price crosses under the bottomValue and bottomBreakBlock is not set, then a short entry is generated after creating a supplyBox, based on the last green candle's low and high.
If a long or short is active, and a breakout of the price happens, the script will draw a new line object to indicate the breakout, where x2 of the line is set to the current bar index
Fractal Detection:
If a new up fractal is detected, the topValue and topLine variables are updated, and the old line object is deleted
If a new down fractal is detected, the bottomValue and bottomLine variables are updated, and the old line object is deleted
Box Color Update:
The script loops through all the active boxes and changes their color if the current candle close price is outside the range of the box.
Plots: Plots the up and down fractals for visualization.
Checklist Table: A table displays the status of different conditions of the script on the bottom right.
Shows status of Up Fractal, Down Fractal, Top Break, Bottom Break, Last Red Candle, Last Green Candle, Box Color Change Active using check and cross mark symbols.
How the Strategy Works:
Fractal Identification: The strategy continuously looks for fractal highs and lows.
Order Block Identification: When a new fractal is formed, the script stores the high and low of the last opposing candle.
Breakout Confirmation: When price breaks the range of a fractal, it indicates an order block breakout.
Trade Execution: When there is a valid breakout, it triggers a long or short trade, depending on whether a demand or supply zone is broken.
Box Visualization: The script visually represents the order blocks using boxes that are colored green for demand zones and red for supply zones. These boxes can be optionally re-colored if the price breaks beyond them.
Checklist Display: A checklist table at the bottom right of the chart helps the user to quickly understand the script status.
Supply and Demand - Order Block StrategyCore Concepts:
Fractals: The strategy uses Bill Williams fractals to identify potential turning points in the market. A fractal high is formed when a high is higher than the n bars on either side, and a fractal low is formed when a low is lower than the n bars on either side. The parameter n is an input, and allows you to configure the lookback for the fractal identification.
Order Blocks (Supply and Demand Zones): The strategy defines order blocks (supply and demand zones) as the last red (bearish) candle before an upward break (demand zone) and the last green (bullish) candle before a downward break (supply zone).
Breakouts: The strategy triggers long entries when the price breaks above a demand zone and short entries when the price breaks below a supply zone.
Box Tracking: The strategy visually represents these order blocks using boxes.
Breakout Logic:
topBreakCheckSource and bottomBreakCheckSource are used to define the break-out check based on user input.
If the price crosses over the topValue (the high of the last fractal) and topBreakBlock is not set, then a long entry is generated after creating a demandBox, based on the last red candle's low and high.
If the price crosses under the bottomValue and bottomBreakBlock is not set, then a short entry is generated after creating a supplyBox, based on the last green candle's low and high.
If a long or short is active, and a breakout of the price happens, the script will draw a new line object to indicate the breakout, where x2 of the line is set to the current bar index
Fractal Detection:
If a new up fractal is detected, the topValue and topLine variables are updated, and the old line object is deleted
If a new down fractal is detected, the bottomValue and bottomLine variables are updated, and the old line object is deleted
Box Color Update:
The script loops through all the active boxes and changes their color if the current candle close price is outside the range of the box.
Plots: Plots the up and down fractals for visualization.
Checklist Table: A table displays the status of different conditions of the script on the bottom right.
Shows status of Up Fractal, Down Fractal, Top Break, Bottom Break, Last Red Candle, Last Green Candle, Box Color Change Active using check and cross mark symbols.
How the Strategy Works:
Fractal Identification: The strategy continuously looks for fractal highs and lows.
Order Block Identification: When a new fractal is formed, the script stores the high and low of the last opposing candle.
Breakout Confirmation: When price breaks the range of a fractal, it indicates an order block breakout.
Trade Execution: When there is a valid breakout, it triggers a long or short trade, depending on whether a demand or supply zone is broken.
Box Visualization: The script visually represents the order blocks using boxes that are colored green for demand zones and red for supply zones. These boxes can be optionally re-colored if the price breaks beyond them.
Checklist Display: A checklist table at the bottom right of the chart helps the user to quickly understand the script status.
EMA Breakout Bot BY ALGERNON STONEKey Features:
Multiple Entries: The strategy allows for multiple entries in the same direction as long as the entry conditions are met on subsequent crosses.
Trend Following: The use of EMAs makes it a trend-following strategy, aiming to capture directional moves.
Visual Clarity: The plot of the EMAs and the fill between them give a clear visual of the trend direction.
Stop-Loss Visualization: The optional pivot point markers are useful for understanding where stop-losses might be placed and to visualize how it would work with pivot lows and highs.
Adjustable Parameters: The fast_ema, slow_ema, and Bars inputs allow the user to customize the strategy for different timeframes and market conditions.
How it Trades:
The strategy calculates the fast and slow EMAs.
It waits for the price to cross the fast EMA.
If the crossover happens in a bullish alignment (fast EMA above slow EMA), a long position is opened.
If the crossover happens in a bearish alignment (fast EMA below slow EMA), a short position is opened.
Positions are closed when the price crosses back against their respective EMA.
Things to Note:
No Stop-Loss or Take-Profit: The current code only has exit conditions based on the price crossing the opposite EMA, but no explicit stop-loss or take-profit is implemented. This strategy is vulnerable if a position is entered, and the price makes a sudden move against it.
Parameter Optimization: The effectiveness of the strategy will depend heavily on the selected EMA periods. Users will need to find optimal parameter settings for the market they are trading.
Overfitting: Be careful to not over-optimize parameters on historical data as it can lead to poor performance in live trading.
Market Conditions: This strategy will likely work better in trending markets than in choppy or ranging markets.
Risk Management: Consider implementing proper risk management, such as stop-losses and position sizing, before using this strategy in live trading.
bbmulti is not used: The input bbmulti is present but is unused, and can be removed or used for other future additions.
JerrySmart EMA AlgoThis strategy i hope to use it long term and make me money. It is used based on ema and volume it was created using AI i do not know if it will work but it looks promising. Lets see what happens
MFS-3 Bars Pattern Strategy3 Bar Pattern Strategy
Detects an Ignite Candle followed by a Pullback Candle followed by a Confirmation Candle.
A Box will be drawn around the setup and three arrows will identify I, P, C (Ignite, Pullback, Confirmation) the setup.
The strategy will calculate a Stop Loss below the Low Price of the Ignite candle and a Take Profit at 2 times the Stop Loss giving a Risk to Reward Ratio of 1:2.
Extra conditions are included to reduce false triggers:
- A down trend must be detected using 3 SMA (Long, Medium, Short) that should be aligned from Long to Short one above the other.
- The Ignite Candle's body must be BELOW the Short SMA
An input form is available to adjust some strategy parameters.
Performance Note
----------------------
Trading conditions are very strict, so most of the time, no signals will be detected in the Strategy window.
This strategy should only be one of many strategies used for trade setups.
Hope you enjoy it.
Trend-Following Strategy for NIFTY or BANK NIFTY//@version=5
strategy("Trend-Following Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=5)
// Input Parameters
macd_fast_length = input(12, title="MACD Fast Length")
macd_slow_length = input(26, title="MACD Slow Length")
macd_signal_length = input(9, title="MACD Signal Length")
sma_length = input(200, title="SMA Length")
atr_length = input(14, title="ATR Length")
atr_multiplier = input(1.5, title="ATR Stop Loss Multiplier")
// Calculate Indicators
= ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length)
sma = ta.sma(close, sma_length)
atr = ta.atr(atr_length)
// Define Conditions
longCondition = ta.crossover(macdLine, signalLine) and close > sma
shortCondition = ta.crossunder(macdLine, signalLine) and close < sma
// Stop Loss and Take Profit
longStopLoss = close - atr * atr_multiplier
shortStopLoss = close + atr * atr_multiplier
// Execute Trades
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.exit("Long Exit", from_entry="Long", stop=longStopLoss)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.exit("Short Exit", from_entry="Short", stop=shortStopLoss)
// Plot Indicators
plot(sma, color=color.blue, linewidth=2, title="200 SMA")
hline(0, "Zero Line", color=color.gray)
plot(macdLine, color=color.green, title="MACD Line")
plot(signalLine, color=color.red, title="Signal Line")
Mojomarvs NOVER Wavetrend stratNew Wavetrend strategy leveraging Wavetrend and general trend sing EMA
(G4) | DTD (Trailing Stop @jason5480)The details of this strategy are still being developed, but the basis of how it works is based on an indicator I developed in 2024 from a manual process I created in 2023 when I began trading futures. It reads candles from the pre-defined opening session. It's most optimized for getting into trades as soon as possible, so the best timeframe to use is the 1-minute. I aim to produce a very high RR, so it's not a scalping strategy. Great for trend days and consolidation. I have an Asia session strategy I am working on as well. This is the most "real-time" strategy I have seen, and I have great confidence in its performance and scalability.
The strategy is 100% proprietary while the risk parameters and capabilities are open source by the wonderful @jason5480
