Volume Profile / Fixed Range Strategy with RSI SMAThis strategy utilizes the volume profile of the past x number of bars.
The idea is that the majority of the time price is ranging, during this time the volume profile shows where the vast majority of trading occurs. The assumption is if price exceeds the 1st STD either upwards or downwards there is a good likelihood of a break to the upside.
This is then coupled with the RSI for confluence, once the RSI breaks above the mid-point(50) this indicates strong upward momentum.
Thus the system will go long if: Price is above 1st STD of the Volume Profile and RSI > 50
The system will go to cash if: Price has closed below the upper bound and the RSI < 50
Penunjuk dan strategi
Supply and Demand - Order Block Strategy BY ALGERNON STONEBreakout 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.
Institutional Order Flow StrategyLa strategia implementata è denominata "Institutional Order Flow Strategy" e si basa sull'identificazione di Order Blocks e su specifiche condizioni di ingresso e uscita per le posizioni long e short. L'idea è di identificare i livelli dove operano i bot degli istituzionali, poi attraverso degli obbiettivi di profitto individuali, piazzare tre livelli di profitto atteso.
Ecco una spiegazione dettagliata delle varie sezioni del codice:
1. Impostazioni di Input
Input Session: Imposta una sessione di trading dalle 09:30 alle 16:00.
Lookback Period: Periodo di osservazione di 20 barre per identificare gli order blocks.
Target Percentuali: Tre obiettivi di profitto (Target 1, Target 2, Target 3) espressi in percentuale rispetto al prezzo medio di ingresso.
2. Identificazione degli Order Blocks
Il codice calcola i massimi e minimi più alti e più bassi nel periodo di lookback specificato:
Order Block Buy: Viene identificato come il massimo più alto quando la barra precedente è bearish (chiusura < apertura) e la barra corrente è bullish (chiusura > apertura).
Order Block Sell: Viene identificato come il minimo più basso quando la barra precedente è bullish e la barra corrente è bearish.
3. Logica di Ingresso
In Session: Verifica se il tempo attuale è all'interno della sessione di trading specificata.
Condizioni di Ingresso Long e Short:
Long: La chiusura deve essere superiore all'order block di acquisto e deve essere all'interno della sessione.
Short: La chiusura deve essere inferiore all'order block di vendita e deve essere all'interno della sessione.
4. Entrate nella Strategia
Se le condizioni di ingresso sono soddisfatte, vengono aperte posizioni long o short:
strategy.entry("Long", strategy.long) per le posizioni long.
strategy.entry("Short", strategy.short) per le posizioni short.
5. Calcolo degli Obiettivi per Scalare le Uscite
Per ogni posizione aperta, vengono calcolati tre obiettivi di prezzo per il take profit, basati sul prezzo medio di ingresso:
Long Targets: Calcolati aggiungendo le percentuali specificate al prezzo medio di ingresso.
Short Targets: Calcolati sottraendo le percentuali specificate dal prezzo medio di ingresso.
6. Logica di Uscita con Scalabilità
Quando ci sono posizioni aperte, vengono impostate le uscite:
Per le posizioni long, si esce dal 50% della posizione al Target 1, il 30% al Target 2 e il 20% al Target 3.
Per le posizioni short, la logica è simile, ma si esce a target di prezzo calcolati in senso inverso.
7. Visualizzazione degli Order Blocks
Infine, il codice visualizza gli order blocks sul grafico:
L'order block di acquisto viene tracciato in verde.
L'order block di vendita viene tracciato in rosso.
Conclusione
In sintesi, questa strategia di trading cerca di sfruttare i movimenti di mercato basati sugli order blocks, impostando condizioni di ingresso e uscita chiare, insieme a obiettivi di profitto scalabili.
Stochastic RSI Strategy 1oşullar : K çizgisi D çizgisini 20 değerinin altında yukarı keserse mum kapışında short işlemi kapatıp long işleme girecek ve K çizgisi D çizgisini 80 üstünde aşağıya keserse mum kapandığında long işelemi kapatıp short işleme girecek. Gerektiğinde ayarlardan bu değerleri manual olrak değiştirebileceğimiz şekilde ayarla.
IU open equal to high/low strategyIU open equal to high/low strategy:
The "IU Open Equal to High/Low Strategy" is designed to identify and trade specific market conditions where the day's first price action shows a strong directional bias. This strategy automatically enters trades based on the relationship between the market's open price and its first high or low of the day.
Entry Conditions:
1. Long Entry: A long position is initiated when the first open price of the session equals the day's first low. This signals a potential upward move.
2. Short Entry: A short position is initiated when the first open price of the session equals the day's first high. This signals a potential downward move.
Exit Conditions:
1. Stop Loss (SL): For both long and short trades, the stop loss is calculated based on the low or high of the candle where the position was entered.
2. Take Profit (TP): The take profit is set using a Risk-to-Reward (RTR) ratio, which is customizable by the user. The TP is calculated relative to the entry price and the distance between the entry and the stop loss.
Additional Features:
- Plots are used to visualize the entry price, stop loss, and take profit levels directly on the chart, providing clear and actionable insights.
- Labels are displayed to indicate the occurrence of the "Open == Low" or "Open == High" conditions for easier identification of potential trade setups.
- A dynamic fill highlights the areas between the entry price and the stop loss or take profit, offering a clear visual representation of the trade's risk and reward zones.
This strategy is designed for traders looking to capitalize on directional momentum at the start of the trading session. It is customizable, allowing users to set their desired Risk-to-Reward ratio and tailor the strategy to fit their trading style.
Jalambi Paul modelKey Components
Inputs:
Window Length (window): The number of periods for calculating the rolling statistics. Default is set to 50.
Risk Percentage (risk_percentage): The percentage of capital risked per trade. Default is 1.0%.
Stop Loss and Take Profit Levels:
Stop Loss: Default is 2% of the entry price.
Take Profit: Default is 4% of the entry price.
Logarithmic Returns:
Calculates the logarithmic return of the price series using:
log_return
=
log
(
close
close
)
log_return=log(
close
close
)
This helps in normalizing price changes.
Rolling Statistics:
Mean (rolling_mean): Calculated over the rolling window using the Simple Moving Average (SMA).
Standard Deviation (rolling_std): Measured over the rolling window to understand volatility.
Shiryaev-Zhou Index (SZI):
The SZI is a standardized z-score:
SZI
=
log_return
−
rolling_mean
rolling_std
SZI=
rolling_std
log_return−rolling_mean
This metric is used to detect overbought or oversold conditions.
Signal Generation:
Buy Signal (long_signal): Triggered when SZI is below a fixed threshold (-2.0).
Sell Signal (short_signal): Triggered when SZI is above a fixed threshold (2.0).
Visuals on the Chart:
Buy signals are plotted below the price bars with green upward-pointing labels.
Sell signals are plotted above the price bars with red downward-pointing labels.
Trade Execution:
Entry Conditions:
Long positions are opened when long_signal is true.
Short positions are opened when short_signal is true.
Exit Conditions:
Stop Loss and Take Profit levels are calculated based on the entry price and the respective percentage inputs.
Positions are closed automatically when these levels are hit.
Visualization:
Plots the stop-loss (red line) and take-profit (green line) levels on the chart for easier tracking.
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.
EMA Strategy with Price & EMA5 & EMA8 < EMA50 ConditionEMAile al-sat testi gerçekleştirildi.
Stratejiler güncellenmeye devam edecek. vakit olursa tabi
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
VIX Spike StrategyThis script implements a trading strategy based on the Volatility Index (VIX) and its standard deviation. It aims to enter a long position when the VIX exceeds a certain number of standard deviations above its moving average, which is a signal of a volatility spike. The position is then exited after a set number of periods.
VIX Symbol (vix_symbol): The input allows the user to specify the symbol for the VIX index (typically "CBOE:VIX").
Standard Deviation Length (stddev_length): The number of periods used to calculate the standard deviation of the VIX. This can be adjusted by the user.
Standard Deviation Multiplier (stddev_multiple): This multiplier is used to determine how many standard deviations above the moving average the VIX must exceed to trigger a long entry.
Exit Periods (exit_periods): The user specifies how many periods after entering the position the strategy will exit the trade.
Strategy Logic:
Data Loading: The script loads the VIX data, both for the current timeframe and as a rescaled version for calculation purposes.
Standard Deviation Calculation: It calculates both the moving average (SMA) and the standard deviation of the VIX over the specified period (stddev_length).
Entry Condition: A long position is entered when the VIX exceeds the moving average by a specified multiple of its standard deviation (calculated as vix_mean + stddev_multiple * vix_stddev).
Exit Condition: After the position is entered, it will be closed after the user-defined number of periods (exit_periods).
Visualization:
The VIX is plotted in blue.
The moving average of the VIX is plotted in orange.
The threshold for the VIX, which is the moving average plus the standard deviation multiplier, is plotted in red.
The background turns green when the entry condition is met, providing a visual cue.
Sources:
The VIX is often used as a measure of market volatility, with high values indicating increased uncertainty in the market.
Standard deviation is a statistical measure of the variability or dispersion of a set of data points. In financial markets, it is used to measure the volatility of asset prices.
References:
Bollerslev, T. (1986). "Generalized Autoregressive Conditional Heteroskedasticity." Journal of Econometrics.
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy.
Stochastic RSI StrategyK çizgisi D çizgisini 10 değerinin altında aşağıdan yukarı keserse mum kapanışında short işlemi kapatıp long işleme girecek ve K çizgisi D çizgisini 90 üstünde yukardan aşağıya keserse mum kapandığında long işelemi kapatıp short işleme girecek
XRP/USD Scalping Strategy with Alerts
The strategy in your script is designed for scalping XRP/USD, utilizing a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume analysis, and N-Bar detection to identify potential buy and sell signals. It aims to make quick, small profits by taking advantage of short-term price movements. Here's a detailed breakdown:
Key Components of the Strategy:
Exponential Moving Averages (EMAs):
Short EMA (8-period) and Long EMA (21-period) are used to identify the trend.
A buy signal is generated when the Short EMA crosses above the Long EMA (bullish crossover).
A sell signal is generated when the Short EMA crosses below the Long EMA (bearish crossunder).
Relative Strength Index (RSI):
The RSI (with a 14-period) is used to assess whether the market is in an overbought or oversold condition.
For a long position, the strategy checks if the RSI is above 50 to ensure that the market is not in an oversold condition.
For a short position, the strategy checks if the RSI is below 50, which signals a weaker or bearish market.
Volume Analysis:
The strategy checks if the current volume is greater than the average volume over a defined period (20 bars in this case).
Higher volume indicates stronger market participation and gives more confidence in the signals.
N-Bar Detection:
The strategy uses a custom function to detect the price action of the last n bars.
Bullish N-bars: If the lowest low of the last n_bars is higher than the lowest low of the previous 2*n_bars (indicating a bullish reversal pattern).
Bearish N-bars: If the highest high of the last n_bars is lower than the highest high of the previous 2*n_bars (indicating a bearish reversal pattern).
Buy (Long) Condition:
EMA Crossover: The Short EMA crosses above the Long EMA, indicating a potential upward trend.
RSI > 50: The market is not in an oversold state (indicating that the market is bullish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bullish N-bars: The price action of the last n_bars shows a bullish reversal, providing additional confirmation for a buy.
Sell (Short) Condition:
EMA Crossunder: The Short EMA crosses below the Long EMA, indicating a potential downward trend.
RSI < 50: The market is not in an overbought state (indicating that the market is bearish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bearish N-bars: The price action of the last n_bars shows a bearish reversal, providing additional confirmation for a sell.
Take Profit and Stop Loss:
The strategy includes a take profit and stop loss mechanism to limit the risk and secure profits.
Take Profit: Set at 1.5% of the entry price.
Stop Loss: Set at 0.7% of the entry price.
Alerts:
The strategy has alerts for both buy and sell signals.
When the buy or sell conditions are met, it triggers an alert, sending notifications (pop-up, email, etc.) to the user.
Summary of the Strategy:
Trend Following with EMA: The strategy relies on the crossover of short and long EMAs to determine the trend direction.
Momentum Analysis with RSI: The RSI confirms that the market is not overbought or oversold, ensuring that the trade is made in favorable conditions.
Volume Confirmation: Only signals with increased market participation (higher volume than the average) are considered valid.
Reversal Patterns with N-bars: The N-bar detection adds a layer of confirmation for potential reversals, improving the accuracy of entry signals.
Risk Management: The take profit and stop loss levels are designed to capture small, profitable moves while protecting from large losses.
This scalping strategy aims for quick, small profits with controlled risk, making it suitable for highly liquid markets like XRP/USD. The use of EMAs, RSI, volume analysis, and N-bar patterns increases the reliability of the signals and helps minimize false entries.
Vikas_RSI Based TradingRSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
Description of the RSI-Based Trading Strategy with No Trading Zone and ATR Stop Loss
This Pine Script strategy utilizes the Relative Strength Index (RSI) to identify potential entry and exit points for long (buy) and short (sell) positions in a trading instrument. It incorporates a unique "No Trading Zone" feature and an ATR-based stop loss mechanism for risk management.
Mojomarvs NOVER Wavetrend stratNew Wavetrend strategy leveraging Wavetrend and general trend sing EMA
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.
VWAP Strategy BY VGPATELThis strategy provides clear buy and sell signals based on the interaction of price and VWAP, helping traders to capitalize on intraday price movements while filtering out market noise.
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.
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."
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 =))
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
EMA Crossover Strategy by QuantdexQuantdex EMA Crossover Strategy
The Quantdex EMA Crossover Strategy is a powerful trend-following system designed to identify high-probability trading opportunities. It utilizes three exponential moving averages (EMAs) to capture market momentum, confirm trends, and provide precise entry and exit points.
Key Components:
Short-Term EMA:
Reacts quickly to price movements, signaling potential trade entries based on momentum shifts.
Medium-Term EMA:
Filters out short-term market noise and helps validate intermediate trends.
Long-Term EMA:
Represents the overall market direction, serving as a critical trend filter and support/resistance indicator.
Strategy Rules:
Bullish Entry:
When the short-term EMA crosses above the medium-term EMA, and both are aligned above the long-term EMA.
Confirms strong upward momentum in a long-term uptrend.
Bearish Entry:
When the short-term EMA crosses below the medium-term EMA, and both are aligned below the long-term EMA.
Confirms strong downward momentum in a long-term downtrend.
Exit Rules:
Exit long positions when the short-term EMA crosses back below the medium-term EMA.
Exit short positions when the short-term EMA crosses back above the medium-term EMA.
Advantages:
Effectively identifies the dominant market trend using a multi-timeframe approach.
Minimizes false signals by requiring confirmation from all EMAs.
Adaptable for swing traders and position traders across various markets.
The Quantdex EMA Crossover Strategy combines simplicity with accuracy, making it a reliable tool for consistent and disciplined trading.
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