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RSI & StochasticA combination of RSI and Stochastic using default settings. - RSI or Relative Strength Index is the white line. - Stochastic %K is the aqua line - Stochastic %D is the orange line - The purple rectangle is the RSI range going from 30 (oversold) at the bottom to 70 (overbought) - The top dotted line indicates the price being overbought on the stochastic - The bottom dotted line indicates the price oversold on the stochastic I mainly use both indicators to spot divergence/ potential upcoming turning points (tops or bottoms). For example on the chart the white line shows the price of Bitcoin Rising While the yellow line shows the stochastic declining and the red RSI stayed more or less at the same level. Another way to use this indicator is to use the aqua line crossing above the orange line as an entry for a long trade this strategy is most useful when both are near the bottom of the range. The opposite is true for short trades but both should be combined with other indicators such as moving averages support levels or volume for best results. Generally RSI is more useful in trending markets & the stochastic is more useful in sideways or choppy markets.
Indicatore Pine Script®
di kaaiii
1
MFI RSI w STOCH OVERLAY V3Combines: Relative Strength (purple) and RSI Stoch (Orange/gray), Money Flow (green) all in one indicator window. On screen indicator text identifier will read in this order: "RSI/STOCH/MFI V3" // Changes from original version \\ It was important to bring forth the RSI indicator as the most visually important line and its relationship to the background. A: Major visual changes from my first published one..as default now 1: Increased RSI line to size 3 2: Increased MFI line to size 2 3: Separated all Bar Line Fields in the background for custom editing, total of 5 now. Much easier to distinguish when the RSI enters these fields. B: Other major changes as default now 1: Sped up the indicators from 14 to 11, for quicker response. (user can adjust back to 14 or another number) 2: Increased user friendly inputs to adjust colors, lines, data, etc. 3: (darken / lighten and change background colors, increase/decrease line strengths and colors, adjust field data inputs) Enjoy and Good Luck Trading.
Indicatore Pine Script®
di Quartz-
Stochastic Momentum Index (Stoch MTM, SMI)Stochastic Momentum Index (Stoch MTM, SMI) The Stochastic Momentum Index (Stoch MTM, SMI) is based on the Stochastic Oscillator. The difference is that the Stochastic Oscillator calculates where the close is relative to the high/low range, while the SMI calculates where the close is relative to the midpoint of the high/low range. The values of the SMI range from +100 to -100. When the close is greater than the midpoint, the SMI is above zero, when the close is less than than the midpoint, the SMI is below zero. The SMI is interpreted the same way as the Stochastic Oscillator. Extreme high/low SMI values indicate overbought/oversold conditions. A buy signal is generated when the SMI rises above -50, or when it crosses above the signal line. A sell signal is generated when the SMI falls below +50, or when it crosses below the signal line. Also look for divergence with the price to signal the end of a trend or indicate a false trend. The Stochastic Momentum Index was developed by William Blau and was introduced in his article in the January, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
Indicatore Pine Script®
di new0122
Indicator: Premier Stochastic OscillatorThe PSO, developed by Lee Leibfarth, is a rewired version of a short-period stochastic. This provides a quick response to changes in market direction. This highly sensitive indicator allows for early anticipation of price turns and can be used to establish definitive trading zones that identify potential trading opportunities. Rules as suggested by Mr.Lee: For long trades: (1) Premier stochastic crosses below 0.90 (2) premier stochastic crosses below 0.20 For short trades: (1) Premier stochastic crosses above -0.90 (2) premier stochastic crosses above -0.20 More info on the trading zones and other nuances: www.investopedia.com
Indicatore Pine Script®
di LazyBear
10
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals. What it shows: Purple %K line → bearish momentum strengthening Yellow %D line → bullish momentum building and smoothing Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers Midline at 50 → balance point where momentum shifts between bull- and bear-side control Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart How to read it: Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups Lines stacked and moving together → strong, cleaner momentum Lines crossing repeatedly → low-conviction, choppy conditions OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick Why it’s different: Classic Stoch RSI is hyper-sensitive and mostly noise. VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
Indicatore Pine Script®
di Vectorcoresai
Stochastic RSI with Alerts# Stochastic RSI with Alerts - User Manual ## 1. Overview This enhanced Stochastic RSI indicator identifies overbought/oversold conditions with visual signals and customizable alerts. It features: - Dual-line Stoch RSI (K & D) - Threshold-based buy/sell signals - Configurable alert system - Customizable parameters ## 2. Installation 1. Open TradingView chart 2. Open Pine Editor (📈 icon at bottom) 3. Copy/paste the full code 4. Click "Add to Chart" ## 3. Input Parameters ### 3.1 Core Settings | Parameter | Default | Description | |-----------|---------|-------------| | K | 3 | Smoothing period for %K line | | D | 3 | Smoothing period for %D line | | RSI Length | 14 | RSI calculation period | | Stochastic Length | 14 | Lookback period for Stoch calculation | | RSI Source | Close | Price source for RSI calculation | ### 3.2 Signal Thresholds | Parameter | Default | Description | |-----------|---------|-------------| | Upper Limit | 80 | Sell signal threshold (overbought) | | Lower Limit | 20 | Buy signal threshold (oversold) | ### 3.3 Alert Settings | Parameter | Default | Description | |-----------|---------|-------------| | Enable Buy Alerts | True | Toggle buy notifications | | Enable Sell Alerts | True | Toggle sell notifications | | Custom Alert Message | Empty | Additional text for alerts | ## 4. Signal Logic ### 4.1 Buy Signal (Green ▲) Triggers when: \text{%K crossover %D} \quad AND \quad (\text{%K ≤ Lower Limit} \quad OR \quad \text{%D ≤ Lower Limit}) ### 4.2 Sell Signal (Red ▼) Triggers when: \text{%K crossunder %D} \quad AND \quad (\text{%K ≥ Upper Limit} \quad OR \quad \text{%D ≥ Upper Limit}) ## 5. Alert System ### 5.1 Auto-Generated Alerts The script automatically creates these alert conditions: - **Buy Signal Alert**: Triggers on valid buy signals - **Sell Signal Alert**: Triggers on valid sell signals Alert messages include: - Signal type (Buy/Sell) - Current %K and %D values - Custom message (if configured) ### 5.2 Alert Configuration **Method 1: Script-Generated Alerts** 1. Hover over any signal marker 2. Click the 🔔 icon 3. Select trigger conditions: - "Buy Signal Alert" - "Sell Signal Alert" **Method 2: Manual Setup** 1. Open Alert creation window 2. Condition: Select "Stoch RSI Alerts" 3. Choose: - "Buy Signal Alert" for long entries - "Sell Signal Alert" for exits/shorts ## 6. Customization Tips ### 6.1 Threshold Adjustment // For day trading (tighter ranges) upperLimit = 75 lowerLimit = 25 // For swing trading (wider ranges) upperLimit = 85 lowerLimit = 15 ### 6.2 Visual Modifications Change signal markers via: - `style=` : Try `shape.labelup`, `shape.flag`, etc. - `color=` : Use hex codes (#FF00FF) or named colors - `size=` : `size.tiny` to `size.huge` ## 7. Recommended Use Cases 1. **Mean Reversion Strategies**: Pair with support/resistance levels 2. **Trend Confirmation**: Filter with 200EMA direction 3. **Divergence Trading**: Compare with price action ## 8. Limitations - Works best in ranging markets - Combine with volume analysis for confirmation - Not recommended as standalone strategy --- This documentation follows technical writing best practices with: - Clear parameter tables - Mathematical signal logic - Visual hierarchy - Practical examples - Usage recommendations
Indicatore Pine Script®
di OxJohannWu
Supertrend + Stochastic RSIThe Supertrend + Stochastic RSI indicator is designed for scalping and short-term trading, combining the trend-following power of the Supertrend with the momentum insights of the Stochastic RSI to generate reliable buy and sell signals. This indicator aims to reduce false signals by requiring confirmation from both trend direction and momentum, making it suitable for traders targeting quick, high-probability trades in fast-moving markets on lower timeframes (e.g., 1-minute to 15-minute charts). How It Works The indicator integrates two technical components to produce actionable signals: Supertrend for Trend Direction: The Supertrend, calculated with a default length of 10 and a factor of 3.0, identifies the prevailing trend. It plots a line above or below the price, turning green when the trend is bullish (price above Supertrend) and red when bearish (price below Supertrend). This helps traders stay aligned with the market’s direction, reducing trades against the trend. Stochastic RSI for Momentum Confirmation: The Stochastic RSI, computed over a 14-period RSI with 3-period smoothing for %K and %D lines, measures momentum. A buy signal is generated when the %K line crosses above the oversold level (default: 20), indicating potential upward momentum, while a sell signal occurs when %K crosses below the overbought level (default: 80), suggesting downward momentum. Signal Generation Signals are produced only when both conditions align, using the previous bar’s values to prevent repainting: Buy Signal: The Stochastic RSI %K crosses above the oversold level, and the Supertrend confirms a bullish trend (price above Supertrend). Displayed as a green upward triangle below the bar. Sell Signal: The Stochastic RSI %K crosses below the overbought level, and the Supertrend confirms a bearish trend (price below Supertrend). Displayed as a red downward triangle above the bar.
Indicatore Pine Script®
di Raisontgh
1
Adaptive RSI-Stoch with Butterworth Filter [UAlgo]The Adaptive RSI-Stoch with Butterworth Filter is a technical indicator designed to combine the strengths of the Relative Strength Index (RSI), Stochastic Oscillator, and a Butterworth Filter to provide a smooth and adaptive momentum-based trading signal. This custom-built indicator leverages the RSI to measure market momentum, applies Stochastic calculations for overbought/oversold conditions, and incorporates a Butterworth Filter to reduce noise and smooth out price movements for enhanced signal reliability. By utilizing these combined methods, this indicator aims to help traders identify potential market reversal points, momentum shifts, and overbought/oversold conditions with greater precision, while minimizing false signals in volatile markets. 🔶 Key Features Adaptive RSI and Stochastic Oscillator: Calculates RSI using a configurable period and applies a dual-smoothing mechanism with Stochastic Oscillator values (K and D lines). Helps in identifying momentum strength and potential trend reversals. Butterworth Filter: An advanced signal processing filter that reduces noise and smooths out the indicator values for better trend identification. The filter can be enabled or disabled based on user preferences. Customizable Parameters: Flexibility to adjust the length of RSI, the smoothing factors for Stochastic (K and D values), and the Butterworth Filter period. 🔶 Interpreting the Indicator RSI & Stochastic Calculations: The RSI is calculated based on the closing price over the user-defined period, and further smoothed to generate Stochastic Oscillator values. The K and D values of the Stochastic Oscillator provide insights into short-term overbought or oversold conditions. Butterworth Filter Application: What is Butterworth Filter and How It Works? The Butterworth Filter is a type of signal processing filter that is designed to have a maximally flat frequency response in the passband, meaning it doesn’t distort the frequency components of the signal within the desired range. It is widely used in digital signal processing and technical analysis to smooth noisy data while preserving the important trends in the underlying data. In this indicator, the Butterworth Filter is applied to the trigger value, making the resulting signal smoother and more stable by filtering out short-term fluctuations or noise in price data. Key Concepts Behind the Butterworth Filter: Filter Design: The Butterworth filter works by calculating weighted averages of current and past inputs (price or indicator values) and outputs to produce a smooth output. It is characterized by the absence of ripple in the passband and a smooth roll-off after the cutoff frequency. Cutoff Frequency: The period specified in the indicator acts as a control for the cutoff frequency. A higher period means the filter will remove more high-frequency noise and retain longer-term trends, while a lower period means it will respond more to short-term fluctuations in the data. Smoothing Process: In this script, the Butterworth Filter is calculated recursively using the following formula, butterworth_filter(series float input, int period) => float wc = math.tan(math.pi / period) float k1 = 1.414 * wc float k2 = wc * wc float a0 = k2 / (1 + k1 + k2) float a1 = 2 * a0 float a2 = a0 float b1 = 2 * (k2 - 1) / (1 + k1 + k2) float b2 = (1 - k1 + k2) / (1 + k1 + k2) wc: This is the angular frequency, derived from the period input. k1 and k2: These are intermediate coefficients used in the filter calculation. a0, a1, a2: These are the feedforward coefficients, which determine how much of the current and past input values will contribute to the filtered output. b1, b2: These are feedback coefficients, which determine how much of the past output values will contribute to the current output, effectively allowing the filter to "remember" past behavior and smooth the signal. Recursive Calculation: The filter operates by taking into account not only the current input value but also the previous two input values and the previous two output values. This recursive nature helps it smooth the signal by blending the recent past data with the current data. float filtered_value = a0 * input + a1 * prev_input1 + a2 * prev_input2 filtered_value -= b1 * prev_output1 + b2 * prev_output2 input: The current input value, which could be the trigger value in this case. prev_input1, prev_input2: The previous two input values. prev_output1, prev_output2: The previous two output values. This means the current filtered value is determined by the combination of: A weighted sum of the current input and the last two inputs. A correction based on the last two output values to ensure smoothness and remove noise. In conclusion when filter is enabled, the Butterworth Filter smooths the RSI and Stochastic values to reduce market noise and highlight significant momentum shifts. The filtered trigger value (post-Butterworth) provides a cleaner representation of the market's momentum. Cross Signals for Trade Entries: Buy Signal: A bullish crossover of the K value above the D value, particularly when the values are below 40 and when the Stochastic trigger is below 1 and the filtered trigger is below 35. Sell Signal: A bearish crossunder of the K value below the D value, particularly when the values are above 60 and when the Stochastic trigger is above 99 and the filtered trigger is above 90. These signals are plotted visually on the chart for easy identification of potential trading opportunities. Overbought and Oversold Zones: The indicator highlights the overbought zone when the filtered trigger surpasses a specific threshold (typically above 100) and the oversold zone when it drops below 0. The color-coded fill areas between the Stochastic and trigger lines help visualize when the market may be overbought (likely a reversal down) or oversold (potential reversal up). 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Indicatore Pine Script®
di UAlgo
HMA Crossover 1H with RSI, Stochastic RSI, and Trailing StopThe strategy script provided is a trading algorithm designed to help traders make informed buy and sell decisions based on certain technical indicators. Here’s a breakdown of what each part of the script does and how the strategy works: Key Components: Hull Moving Averages (HMA): HMA 5: This is a Hull Moving Average calculated over 5 periods. HMAs are used to smooth out price data and identify trends more quickly than traditional moving averages. HMA 20: This is another HMA but calculated over 20 periods, providing a broader view of the trend. Relative Strength Index (RSI): RSI 14: This is a momentum oscillator that measures the speed and change of price movements over a 14-period timeframe. It helps identify overbought or oversold conditions in the market. Stochastic RSI: %K: This is the main line of the Stochastic RSI, which combines the RSI and the Stochastic Oscillator to provide a more sensitive measure of overbought and oversold conditions. It is smoothed with a 3-period simple moving average. Trading Signals: Buy Signal: Generated when the 5-period HMA crosses above the 20-period HMA, indicating a potential upward trend. Additionally, the RSI must be below 45, suggesting that the market is not overbought. The Stochastic RSI %K must also be below 39, confirming the oversold condition. Sell Signal: Generated when the 5-period HMA crosses below the 20-period HMA, indicating a potential downward trend. The RSI must be above 60, suggesting that the market is not oversold. The Stochastic RSI %K must also be above 63, confirming the overbought condition. Trailing Stop Loss: This feature helps protect profits by automatically selling the position if the price moves against the trade by 5%. For sell positions, an additional trailing stop of 100 points is included.
Strategia Pine Script®
di AplusCryptos
4
MTF Stochastic RSI w/ ZonesMTF Stochastic RSI w/ Zones by // © KaizenTraderB I revamped my original Stochastic RSI Band indicator with more accurate algorithms, cleaner coding and more adjustable options. I will be soon releasing a variation of this indicator that prints over price chart with key candle indicators This indicator will display the Stochastic RSI in 3 Timeframes of your choice. It will also display color zones. When the higher timeframe is bullish it will be green and when bullish, red. When the middle timeframe is counter the higher, it will appear brownish. The entry timeframe will print red and green lines at bullish and bearish Stochastic RSI crossovers when oversold and overbought, respectively, In the direction of the higher timeframe directional bias when the middle timeframe is counter that direction to catch reversals in corrections. The options allow you to turn the lines and zones on and off, as well as which Timeframes you choose to view. Entry - 1Hr, 15m, 5m Middle Timeframe - 1Hr, 4Hr, Daily Higher Timeframe - 4Hr, Daily, Weekly or Monthly You can also change the parameters of the Stochastic RSI for each of the three timeframes: When 8 is chosen for RSI Length, Stochastic Length - 5, SmoothK - 3, Smooth D - 3 For 13 - 8, 5, 5 For 21 - 13, 8, 8 For 34 - 21, 13, 13 Its good practice to adjust settings so Higher Timeframe zones (green/red) correlate with longer trend movements, Medium Timeframe with corrections and reversal areas (brown) and Entry Timeframe with key reversal candles. Look at chart for last 200 bars or so and find the settings that correlate with recent past price action and adjust accordingly. Its also good practice to have the chart timeframe correlate with entry timeframe of indicator. You can also adjust overbought and oversold areas. Coding included to prevent repainting Message me with feedback to improve upon this indicator or requested additions.
Indicatore Pine Script®
di KaizenTraderB
1
Data Trader Stoch | RSI | MACD Strategy IndicatorImplementation of Data Trader's strategy, described in the youtube video, "Highly Profitable Stochastic + RSI + MACD Trading Strategy (Proven 100x)" Also see Algovibes' video, "Highly Profitable Stochastic + RSI + MACD Trading Strategy? Testing Data Traders strategy in Python" Note: Despite the claims, it generates barely, if any, signals, certainly in the crypto markets If there are any mistakes, give feedback in the comments, and I'll fix ### Strategy Summary ### # Long Signals # Stoch K and D are oversold RSI above midline MACD above signal line # Short Signals # Stoch K and D are overbought RSI below midline MACD below signal line # Stop loss and Take Profit # Stop loss Longs: below last swing low Shorts: above last swing high Take profit at 1.5x stop loss
Indicatore Pine Script®
di CryptoniteClark
2
Logistic RSI, STOCH, ROC, AO, ... by DGTExperimental attemt of applying Logistic Map Equation for some of widly used indicators. With this study "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)" and a custom interpretation of Logistic Map Equation is presented Calculations with Logistic Map Equation makes sense when the calculated results are iterated many times within the same equation. Here is the Logistic Map Equation : Xn+1 = r * Xn * (1 - Xn) Where, the value of r is the key for this equation which changes amazingly the behaviour of the Logistic Map. The value we have asigned for r is less then 1 and greater than 0 ( 0 < r < 1) and in this case the iterations performed with the maximum number of output series allowed by Pine is quite enough for our purpose and thanks to arrays we can easiliy store them for further processing What we have as output: Each iteration result is then plotted (excluding plotting the first iteration), as circles or line based on user preference Values above and below zero level (0) are coloured differently to emphasis bull and bear power Finally Standard Deviation of Array's Elements is ploted as line. Users may choose to display this line only So where it comes the indicators "Awesome Oscillator (AO)", "Rate of Change (ROC)", "Relative Strength Index (RSI)", "Stochastic (STOCH)". Those are the indicators whose values are assigned to our key varaiable in the Logistic Map equation forulma which is r Further details regarding Logistic Map can found under the description of “Logistic EMA w/ Signals by DGT” study Disclaimer: Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Indicatore Pine Script®
di dgtrd
104
[fikira] MACD & RSI+Stoch + DivergencesThis is a new version of my "Divergences" Compared to my "Divergences (Pivots)", this is calculated totally different There are 3 options: - MACD - RSI - Stoch RSI Since this script is very heavy in calculation it is limited in time (= inspired from a script of "Che_Trader") Also it uses "max_bars_back" (=1000) For MACD and Stoch RSI there is a "custom Divergences Period", which compares more then 7 Pivot Points, the higher the number, the less reliable, it is not necessary to use this, but it is there, also you can change the "leftbars" and "rightbars", again, it is not necessary to change, but you can... Linewidth and style of the Divergences lines can be changed Thank you!
Indicatore Pine Script®
di fikira
50