GK NIFTY E5Nifty 3 min TF works best,scalping strategy e5 for clear entries and exits,B:buy,S:sell,BE:buy exit,SE:sell exit,subject to market risk.
Educational
GK NIFTY E3Nifty 3 min TF works best,scalping strategy e3 for clear entries and exits,B:buy,S:sell,BE:buy exit,SE:sell exit,subject to market risk.
26065分足で使用することを想定しています。
直近260個のプライスバーの高値を調べ、そこから260個先の位置に垂直線を引きます。
また、ロスカットの値を設定することで、終値に対するロスカット値を水平線で表示します。
260&-365分足で使用を想定して、直近高値の260先のバーインデックスの位置に垂直線をひきます。
また、終値価格の-3%の位置に水平線を引いています。これはストップロスを視覚化するためのものです。
Stop Loss & Take Profit LevelsCalculate and Plot Stop Loss (SL) Levels:
The indicator calculates the Stop Loss price level based on the account balance, risk percentage, and the trade's entry price.
For long positions, the SL is below the entry price.
For short positions, the SL is above the entry price.
Calculate and Plot Take Profit (TP) Levels:
The indicator calculates up to three Take Profit (TP) levels, each based on different Risk/Reward (R:R) ratios.
The R:R ratio determines how much reward (profit) you aim to achieve relative to the risk (the distance between the entry price and the stop loss).
These TP levels are plotted on the chart as lines above the entry price for long positions or below the entry price for short positions.
Manual Entry Price:
The user can input a manual entry price to simulate trades or plan trades before entering the market. This makes it useful for pre-trade analysis.
Dynamic Position Type:
Users can toggle between Long or Short positions:
Long Position: The trader expects the price to go up.
Short Position: The trader expects the price to go down.
The indicator adapts its calculations (SL and TP levels) based on the selected position type.
Risk Calculation Based on Account Balance:
The indicator calculates the amount of capital at risk (in €) based on the trader's account balance and the selected risk percentage.
For example:
If the account balance is €1,000 and the Stop Loss percentage is 1%, the risk amount is €10.
Visual Representation on the Chart:
The following levels are plotted on the chart:
Stop Loss Level (Red Line): The price level at which the trader would exit the trade to limit losses.
Take Profit Levels (Green Lines): Up to three price levels where the trader could take profits based on R:R ratios.
Entry Price (Blue Line): The price level where the trade begins.
These lines are dynamically updated as inputs are changed, providing instant feedback to the trader.
Pivot + 7 EMA + Bollinger Band [by sameer]here you get one and only indicator to have bollinger band and pivot.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
Large Wick IndicatorThis is a wick indicator which shows you 3X wick more than a body so it gives you idea to trade in the right direction
Weekly Trading StrategyStrategy Overview:
This trading strategy is designed for short-term trades over weekly intervals, utilizing the combination of Simple Moving Averages (SMA) for trend identification and the Relative Strength Index (RSI) for overbought/oversold conditions. It aims to capitalize on momentum shifts while mitigating the risk of entering a market at extreme points.
Key Components:
Fast SMA (9 periods): Acts as a short-term trend indicator, providing insights into quick price changes.
Slow SMA (21 periods): Represents a longer-term trend, smoothing out price fluctuations to show a more stable trend line.
RSI (14 periods): An oscillator that measures the speed and change of price movements, helping to identify potential reversal points.
Entry Signals:
Buy Signal:
Condition 1: The fast SMA (9 periods) crosses above the slow SMA (21 periods), indicating a potential upward trend shift.
Condition 2: RSI falls below 30, suggesting the asset is potentially oversold and due for a correction upwards.
Sell Signal:
Condition 1: The fast SMA crosses below the slow SMA, signaling a possible downward trend shift.
Condition 2: RSI climbs above 70, indicating the asset might be overbought and could pull back.
Strategy Execution:
Timeframe: This strategy is optimized for a weekly chart (W), where each bar or candle represents one week of trading data.
Alert System: Alerts can be set up for buy and sell signals, allowing traders to react promptly to market conditions without constant chart monitoring.
Risk Management:
This strategy includes inherent risk management by avoiding trades when the market shows extreme conditions via RSI. However, traders should also consider:
Position sizing based on account size and risk tolerance.
Setting stop-loss orders to manage potential losses if the market moves against the position.
Considering additional market analysis or indicators for confirmation before executing trades.
Considerations:
Backtesting: Before live trading, backtest the strategy on historical data to assess performance across different market conditions.
Adaptation: Market dynamics change, so periodic review and adjustment of SMA periods and RSI thresholds might be necessary.
Complementary Analysis: Enhance this strategy with fundamental analysis or other technical indicators for a more robust trading approach.
This strategy is suited for traders looking for weekly swings in the market, balancing between following the trend and spotting potential reversals. However, like all trading strategies, it should not be used in isolation but as part of a broader trading plan.
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum.
How It Works:
Body Spread vs. Total Range:
The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle.
The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum.
Smoothed Oscillator:
To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies.
Gradient Visualization:
A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior.
Visual Features:
Oscillator Plot:
The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia.
Midline (0 Level):
A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum.
Background Highlights:
The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions.
Alerts for Key Crossovers:
The CSO comes with built-in alert conditions, making it highly actionable for traders:
Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum.
Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum.
These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart.
How to Use:
Trend Identification:
When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum.
When the oscillator is below the midline and negative, it reflects bearish momentum.
Momentum Strength:
The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero.
Potential Reversals:
Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction.
Customization:
Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise.
Best Use Cases:
Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend.
Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline.
Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals.
Key Inputs:
Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average.
Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience.
[Why Use the Candle Spread Oscillator?
The CSO is a simple yet powerful tool for traders who want to:
Gain a deeper understanding of price momentum.
Quickly visualize shifts between bullish and bearish trends.
Use clear, actionable signals with customizable alerts.
Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.
Gold Buy Sell IndicatorGold Buy Sell Indicator Help Traders to Correct Entry in live markets and book profit on opposite signal or as per your risk . Indicator Generate signal when match parameter . Without risk just wait for signal and follow the signal and earn money in forex market .
Indicator given TP option and levels to help traders understand market.
Entry Alert BotIt will create alerts on entering and exiting the trades. So, It can be used to copy your trades to another platforms by using webhooks.
Oryt refined Trading SignalThe Real-Time Buy/Sell Signals indicator is designed to provide timely and accurate trading signals based on multiple confluences of technical analysis tools. It combines fast and slow Exponential Moving Averages (EMAs), Stochastic Oscillator, RSI, and volume to identify high-probability entry and exit points in trending markets.
How It Works:
Buy Signal:
Price is above both the fast and slow EMAs.
Stochastic Oscillator shows a bullish crossover and exits the oversold zone (>20).
RSI confirms momentum with a reading above 50.
Volume is above 1.2 times its 50-period average, confirming strong participation.
Sell Signal:
Price is below both the fast and slow EMAs.
Stochastic Oscillator shows a bearish crossover and exits the overbought zone (<80).
RSI confirms bearish momentum with a reading below 50.
Visualization:
Green "Buy" signals appear below price bars.
Red "Sell" signals appear above price bars.
Fast and slow EMAs are plotted for trend clarity.
Key Features:
Designed for intraday and swing trading.
Works across various markets (stocks, crypto, forex, etc.).
Parameters are customizable to fit different trading styles.
Recommended Timeframes:
Intraday: 5-minute, 15-minute.
Swing: 1-hour, 4-hour.
Customizable Inputs:
EMA lengths, RSI length, Stochastic smoothing, and volume multiplier are fully adjustable.
Tweak the settings to align with your preferred trading strategy.
Disclaimer:
This indicator is a tool to assist in technical analysis. It should not be used as a standalone trading strategy. Always combine signals with other analyses and manage risk appropriately.
RVSHTRADING SMAEMAHello friends ,
it generates buy and sell signals on
,simple moving average an , exponetial moving average cross over
you can use this indicator .
thanks
Move greater than %ADRThis indicator will show a mark whenever a scrip is moving on a close to close basis more than the %ADR of 14day period.
Previous Week Highs & LowsThis one would help you to see previous week lows and highs.
Plotter line is previous week high / low
Regular line is 2 weeks or previous weeks highs / low
Suggested for crypto.
London and New York Sessions with High Activity (UTC-4)Highlights Trading sessions and high trading activity.
9 and 21 EMA CrossoverIndicator using the popular 9 and 21 ema signal. Cross over indicate either long or short.
9 and 21 EMA CrossoverIndicator using the popular 9 and 21 ema signal. Cross over indicate either long or short.
RSI Divergence Indicator + STOCHThe RSI Divergence Indicator + STOCH is a combined technical analysis tool that helps traders identify potential reversal points in the market by analyzing two key momentum indicators: the Relative Strength Index (RSI) and the Stochastic Oscillator (STOCH).
RSI Divergence: The RSI measures the speed and change of price movements, ranging from 0 to 100. Divergence occurs when the price of an asset moves in the opposite direction of the RSI, signaling a potential shift in market direction. For example, if the price makes a higher high, but the RSI forms a lower high, this indicates a bearish divergence and suggests that upward momentum may be weakening.
Stochastic Oscillator (STOCH): The Stochastic Oscillator compares an asset's closing price to its price range over a specified period. It provides signals of overbought or oversold conditions, typically using a scale of 0 to 100. When the Stochastic line crosses above 80, it signals overbought conditions, and below 20 signals oversold conditions.
Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
