Wilmer's Heikin RSI Circles"Wilmer's Heikin RSI Circles", is designed to highlight specific market conditions by overlaying visual cues (colored circles) on a chart. It uses the Relative Strength Index (RSI) as a primary filter to identify overbought and oversold conditions, determined by user-defined thresholds (default values: 30 for oversold and 70 for overbought). The script compares the current candle's body (the range between open and close prices) with the previous candle’s body. If the current candle’s body is entirely within the boundaries of the previous one, and the RSI condition is met (either below the lower threshold or above the upper threshold), the script signals potential trading opportunities by plotting colored circles directly on the chart.
When the RSI exceeds the upper threshold and the candle is inside the previous one, the script plots a red circle (🔴) to indicate a potential overbought condition, which could signal a reversal or a selling opportunity. Conversely, when the RSI falls below the lower threshold under the same candle condition, it plots a yellow circle (🟡), suggesting a potential oversold condition, possibly signaling a buying opportunity. Additionally, built-in alert conditions notify users when these circles appear, enabling real-time awareness without constant chart monitoring. This visual and alert-based approach assists traders in identifying potential entry and exit points based on both price action and momentum indicators.
Indicadores e estratégias
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
█ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
█ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
█ IMPORTANT
⚠ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
⚠ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
📈 Happy trading! 🚀
Bullish Engulfing on 3rd, 4th, or 5th Candlethis script detects a Bullish Engulfing pattern occurring on the 3rd, 4th, or 5th 5-minute candle of the day and:
✅ Marks it on the chart with an arrow and green highlight.
✅ Alerts traders when a signal appears.
✅ Works on any market by adjusting the market open time.
Quicktrade703This setup at first marking day first 5 min candle high low . If break low any 5 min time frame candle then sell, and break high any 5 min time frame candle then buy. this a simple setup and working fine.
WEN - SMA with RSI Strategy SMA with RSI Trading Strategy Description
The "SMA with RSI Strategy" is a technical analysis-based trading bot designed to identify potential entry and exit points in financial markets using a combination of Simple Moving Averages (SMA) and the Relative Strength Index (RSI). This strategy blends trend-following and momentum-filtering techniques to create a balanced approach suitable for various market conditions.
Key Features:
1. **Dual SMA Crossover System**:
- Utilizes two Simple Moving Averages with customizable periods:
- Short MA (default: 9 periods) – Faster-moving average to capture short-term price trends.
- Long MA (default: 21 periods) – Slower-moving average to identify longer-term trends.
- Generates buy signals when the Short MA crosses above the Long MA (bullish crossover).
- Generates sell signals when the Short MA crosses below the Long MA (bearish crossover).
2. **RSI Confirmation**:
- Incorporates the Relative Strength Index (default length: 14 periods) to filter trades and avoid overextended market conditions.
- Configurable overbought (default: 70) and oversold (default: 30) thresholds.
- Long entries are only executed if RSI is below the overbought level, preventing buys in potentially overextended upward moves.
- Short entries are only executed if RSI is above the oversold level, avoiding shorts in potentially overextended downward moves.
3. **Risk Management**:
- Built-in stop loss (default: 1%) and take profit (default: 2%) levels, calculated as percentages of the entry price.
- Automatically exits positions when either the stop loss or take profit is hit, helping to manage risk and lock in gains.
Trading Logic:
- **Long Entry**: Triggers when the Short MA crosses above the Long MA and RSI is below the overbought threshold, indicating a potential upward trend with room to grow.
- **Short Entry**: Triggers when the Short MA crosses below the Long MA and RSI is above the oversold threshold, signaling a potential downward trend with room to fall.
- **Exit**: Closes positions based on predefined stop loss or take profit levels, or when a short signal closes an existing long position.
Visual Indicators:
- Plots the Short MA (blue) and Long MA (red) on the price chart for easy trend visualization.
- RSI is typically displayed in a separate panel (platform-dependent) to monitor momentum.
Customization:
- All key parameters (MA lengths, RSI period, overbought/oversold levels, stop loss, and take profit) are adjustable, allowing traders to optimize the strategy for different markets, timeframes, and risk preferences.
Ideal Use Cases:
- Best suited for trending markets where SMA crossovers can capture sustained price movements.
- The RSI filter helps reduce false signals in choppy or ranging markets.
- Applicable to various asset classes (stocks, forex, cryptocurrencies, etc.) with proper parameter tuning.
This strategy offers a straightforward yet effective approach to automated trading, combining trend-following with momentum confirmation while maintaining robust risk management controls.
Momentum Scalping by Arpit ShahThis custom indicator is designed for scalping and short-term trading on the 5-minute timeframe, combining multiple technical tools to highlight key market movements.
Features:
✅ Swing Highs and Lows Detection:
Marks important swing highs with green arrows below bars.
Marks important swing lows with red arrows above bars.
Helps identify potential reversal points and market structure shifts.
✅ Supertrend Indicator (10, 1.3) (No Line Breaks):
Green line represents an uptrend.
Red line represents a downtrend.
Bull (🐂) and Bear (🐻) icons indicate trend reversals based on Supertrend direction changes.
✅ Exponential Moving Averages (EMAs) for Trend Confirmation:
EMA 5 (Blue, Thin) – Short-term momentum.
EMA 50 (Red, Medium Thickness) – Medium-term trend.
EMA 200 (Black, Thickest) – Long-term trend filter.
How to Use:
📌 Look for Supertrend buy/sell signals (🐂/🐻) for potential trend shifts.
📌 Use Swing Highs and Lows to identify support/resistance areas.
📌 Check EMA crossovers for trend direction confirmation.
Long Entry= Wait for Uptrend then wait for green arrow below candle take entry above high and place stoploss below low take Risk Reward as 1:1.
Short Entry=Wait for Downtrend then wait for Red arrow above candle take entry below low and place stoploss above high take Risk Reward as 1:1.
You can use EMA for extra Confirmation.
This indicator is ideal for scalpers and intraday traders looking to combine trend-following and price action strategies for better decision-making. 🚀📈
Hachemi Autonomous Charts V2Indicator Script Description:
This indicator is designed to help identify trading opportunities by combining several technical analysis tools. Here are the main features included:
Order Block: The indicator detects order block zones, where significant levels of supply and demand have formed. These can signal potential market reversal points.
Support and Resistance: The indicator automatically plots key support and resistance levels based on price history, providing reference points for areas where price may bounce or break.
Fair Value Gap (FVG): The indicator identifies and highlights gaps between supply and demand on the charts, pointing out areas where the price might return to fill this gap.
Moving Average (MA): A moving average is used to track market trends, helping to determine whether the market is in a bullish or bearish trend.
MACD (Moving Average Convergence Divergence): A popular momentum indicator used to spot changes in the strength, direction, duration, and trend of the price.
RSI (Relative Strength Index): The RSI indicator measures the speed and change of price movements, helping to identify overbought or oversold conditions.
Volume Profile: This feature analyzes the volume distribution at various price levels, providing key insights into areas of high activity and potential support or resistance.
Fibonacci: The indicator plots Fibonacci retracement and extension levels, which are used to predict potential reversal zones based on Fibonacci ratios.
The goal of this indicator is to provide a comprehensive market overview by combining multiple analysis techniques to identify the most likely entry and exit points for a successful trading strategy.
Marcar Máximos y Mínimos de una BarraMarcar Máximos y Mínimos de una Barra especifica para un determinado dia.
es el comienzo para crear una forma de visualizar la estrategia de seguimiento del patron de inicio de dia siguiente
Daily & Weekly False-Breakout DetectorDaily & Weekly Lines
We retrieve previous day/week’s High and Low.
lookahead=barmerge.lookahead_on means we see the “final” daily/weekly bar values intraday, so it may repaint in real‐time.
False Breakout Logic
Intraday crosses of close above the previous high (PDH or PWH).
By the end of the daily/weekly bar, close is back below that high.
Similarly for false breakdowns below PDL or PWL.
Shape/Alert
Each time an intraday bar crosses up or down, if the final daily/weekly close reverts back inside the prior range, a label is drawn and an alert is triggered.
Because we are “peeking” at the daily/weekly close, these signals can appear or disappear in real‐time.
If you only want a confirmed signal after the period’s close, switch to lookahead_off, which will finalize them at the next day or next week.
bobs Brownian Trend Momentum Systemthis indicator was made using ai with low code no code that i have programed to use its understanding of pine script and my own trading knowledge it is capable of creating entries but not exits so be aware of that still working o fine tuning the details but for now this will do
15min ORB NY Open Reversal StrategyThis strategy is designed for a 15‑minute chart on futures during the New York open. It is based on the Opening Range Breakout (ORB) concept with a twist: instead of trading the initial breakout, the strategy waits for a reversal of the breakout. In other words, if the price initially breaks one side of the ORB during the New York session and then reverses to break the opposite side after the session, a trade is triggered in the direction of that reversal.
Custom Bar Coloring_WKColor your bar display according to the relative positions comparing to SMA.
This is for WK layout.
Custom Bar Coloring_DailyColor your bar according to SMA. This is for daily layout.
Suggest to trade only when bar color=black or red.
Bitcoin Power Law: Complete with Oscillator + Future Projection
Firstly, we would like to give credit to @apsk32 and @x_X_77_X_x as part of the code originates from their work. Additionally, @apsk32 is widely credited with applying the Power Law concept to Bitcoin and popularizing this model within the crypto community. Additionally, the visual layout is fully inspired by @apsk32's designs, and we think it looks amazing. So much so that we had to turn it into a TradingView script. Thank you!
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift . This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. The Oscillator version can be found here .
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point C, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
EMA 9 and 21 Crossover Labels (One Trade at a Time)What this code does is, it tests if EMA9 is crossed above EMA21 in 10 mins, if it does then it signals buy. And gives sell signal when EMA9 is crossed below EMA21.
RFX - Predator [Yoshio & Borges]Resposta que a IA deu:
Eu estou desenvolvendo um sistema que monitora cada moeda individualmente para identificar quando ela está em uma tendência clara e no ponto ideal de entrada.
Esse sistema analisa diferentes timeframes, levando em conta fatores como tendência macro, sobrecompra/sobrevenda e confirmações de movimento.
Com isso, eu consigo encontrar pares de moedas onde uma está em um forte momento de compra e a outra em um forte momento de venda, gerando setups de altíssima probabilidade.
Por exemplo, se meu sistema identificar que o dólar está enfraquecendo e o euro está ganhando força, ele pode sugerir uma compra em EUR/USD no momento exato em que o preço começar a confirmar a alta.
Strat Auto BFI was Inspired by Rob Smith and Fico Jordan to save traders time and energy by auto highlighting your scenario 3's. *WORK IN PROGRESS*
FutureFire v5 - 23/35 Candle Tracker with Custom ColorsThis indicator is designed to track the 23 and the 35 of every hour to help with identifying crucial swing points for intraday trading.
DiNapoli MACDThis indicator applies a modified version of the traditional MACD based on DiNapoli’s methodology. It computes two exponential moving averages using a fast period of 8 and a slow period of 17 to generate the MACD line, then derives a 9-period exponential moving average of this MACD line as the signal line. The histogram represents the difference between the MACD line and the signal line, providing a visual cue for potential trend changes.
Default Settings:
Fast EMA Length: 8
Slow EMA Length: 17
Signal EMA Length: 9
Source: close
Basic Price Action IndicatorKey Features:
Support and Resistance: Identifies support and resistance levels based on the highest and lowest values of the last 20 bars (you can adjust the lookback period with the input).
Bullish Engulfing Pattern: Recognizes when a bullish engulfing candlestick pattern occurs and marks it below the bar.
Bearish Engulfing Pattern: Recognizes when a bearish engulfing candlestick pattern occurs and marks it above the bar.
Background Coloring: Highlights the chart background with a green or red color based on the pattern detected, providing an easy visual cue.
How to Use:
Support and Resistance levels will be plotted on the chart as green and red lines.
Bullish Engulfing patterns will be marked below the bars with a “BUY” label.
Bearish Engulfing patterns will be marked above the bars with a “SELL” label.
The background color will change based on the detected price action pattern (green for bullish, red for bearish).