Şimdi başlat

Komut dosyalarını "rsi divergence" için ara

Mawreez' RSI Divergence DetectorThe idea behind this indicator is to have an expression for the amount of divergence on a given chart at every point in time . To achieve this, it adds up the magnitudes any valid divergence of any kind; bullish, bearish or their hidden variants. Where a valid divergence consists of a line on the source series (almost always the closing price), and a line on an oscillator (here: the RSI). The slopes of said lines must have opposite signs, that is to say, one line must be sloping up while the other slopes down. Said lines may not cross their respective series. The length of the RSI is configurable (default length: 14). The lengths of the divergences are configurable (default: minimum length 3 and maximum length 28 - the latter being twice the default length of the RSI). This indicator will detect divergences which are still building up. Be duly warned: upcoming divergences may still get invalidated. Another case that one should be very mindful of is that an upcoming divergence may still increase in magnitude before it plays out. Possibly over several more timesteps, there may even be entire additional drives. The value of this indicator indeed reflects the magnitude of divergence on a chart. However, there is no reason to think the magnitude of a divergence affects the likelihood of said divergence playing out. The color of the indicator indicates the kind of divergence. The default colors are green for bullish divergence, maroon (dark red) for bearish divergence, lime/light green for hidden bullish divergence, dark pink for hidden bearish divergence. Please let me know if you would like to see a version of this indicator that plots both the RSI and this histogram. I will do this for personal use, but I am being a bit of a purist with this publication. In fact, please don't hesitate to make any comment or to give any kind of suggestion.
Pine Script® göstergesi
Mawreez tarafından
5
RSI Instant DivergenceThis script detects RSI divergence—a common signal indicating potential trend reversals. It compares price action and RSI behavior to identify two types of divergences: 1- Bearish Divergence (Sell Signal): Occurs when the price forms a higher high while RSI drops (weaker momentum). A label appears above the candle, and an alert is triggered: "Divergence: Sell Signal." 2 -Bullish Divergence (Buy Signal): Occurs when the price makes a lower low while RSI rises (stronger momentum). A label appears below the candle, and an alert is triggered: "Divergence: Buy Signal." The labels are color-coded (orange for sell, blue for buy) and include detailed RSI and price info in a tooltip. Alerts help you act immediately when divergence is detected. This tool is perfect for spotting potential trend reversals and refining your entry/exit strategy. Let me know if you'd like to customize it further! 😊 Tooltip Feature: Each label includes a tooltip with precise RSI and price details (current and previous values) as well as the percentage change in RSI, giving you deeper insight into the divergence. This tool is great for identifying trend reversal points and includes visual labels, tooltips, and alerts to make real-time trading decisions easier. Let me know if you’d like adjustments!
Pine Script® göstergesi
AlgoVero tarafından
CryptoverseThis Indicator dynamically generates and charts Pivot Points, Support and Resistance Lines, Trend Channels and even Rsi Divergences in every market and every time period. While it helps you identify your entry points, stop loss and take positions, it certainly does not include trading signals and trading strategy. Bonus: the indicator contains ema21, ema50, ema100 and ema200 to support the lines created. If you wish, you can change the EMA values in the settings. Recommendation: RSI is included in the indicator codes in order to detect divergences dataally, but it is not displayed on the chart. I recommend adding an additional RSI indicator to keep track of past and current potential divergences. USER MANUAL: ---------------------------------------------- General Settings: Pivot Period: This field determines how many candles before and after a candle should be controlled in order to be able to determine the top and bottom points on the chart. Support and Resistance Lines and Trend Channels formed on the chart are created by calculating the Pivot points formed according to the period determined here. (Default value: 6) Pivot Source: Determines the pivot points to be created according to the value of the relevant candle. (Default and Recommended: closing) ---------------------------------------------- Support And Resistance Settings: Custom Bars Back: This area allows you to specify how many pivot points from the current candle to the previous candle to create support resistance lines on the Chart. The default value is the last 500 candles. *Note: The more old candles are checked, the more support and resistance lines will appear. This may prevent you from making sound determinations on the chart.* Current Bar Decrease: This field works integrated with Custom Bars Back. By subtracting the current candle by the specified number, it provides the formation of lines without including those candles. Default value: It is set to 0 to include current data. Example: If Custom Bars Back: 500 and Current Bar Decrease: 10, Support and Resistance lines are created by considering 500 candles before the last 10 candles without including the last 10 candles on the chart. Show S/R Lines: This field allows you to show or hide the Support and Resistance lines at any time. Auto Simplification: This field is marked by default. It allows the Simplification Steps value to be determined automatically within the code according to the time period and current volatility of the relevant parity. (It is recommended to use the default version.) Simplification Steps: This field allows you to get more understandable lines by simplifying the Support and Resistance lines based on Pivot points. If a simplification is not done, the lines to be formed with only the pivot points will be too many and this creates a dirty and useless appearance on the chart. Each 1 digit you enter as a step combines the lines that are close to each other at a value of 0.01% and creates a common line. Example: If you enter the number 10 as Steps, it will form a single common line from lines close together, starting at 0.01% respectively. It will continue to increase by 0.02%, 0.03%, 0.04% in its next steps. For the number 10, it will complete its loop by combining lines within the last remaining lines that are as close as 0.1% to each other and creating new lines from their midpoints. The deafult value is 14. (Max. simplifies lines with closeness up to 1.4%.) Important Note: If Auto Simplification is on, the entered value has no meaning. The Indicator performs simplification operations automatically. If you want to manage these steps manually, you can turn off Auto Simplification and enter your own value. S/R Lines Color: Allows you to specify the color of the lines. Label Location: Allows you to determine how many candles ahead the information label formed for each line will be positioned. Line Label Descriptions: Line: It is the price value that the line coincides with.* Distance: Shows the percentage distance of the line from the current price. ▲ : Shows the percentage distance from the line above it. ▼ : Shows the percentage distance from the line below it. Strength: Indicates the total number of steps the process has taken during the simplification process. The height of the number indicates the strength of resistance and support in the close price range. C. Width: stands for Channel Width. It shows the percentage value between the highest price and the lowest price on the past candle as many candles specified by Custom Bars Back. S. Steps: stands for Simplification Steps. Indicates the number of simplification steps applied. A value of 150 in the image indicates that a 1.5% simplification range has been applied. ---------------------------------------------- Trend Channels Settings: Show All Trend Lines: Allows you to show and hide trend channels. Hide Old Trend Lines: If you enable it, it will hide channels created in the past except for Current Trend channels. Helper Line Format: Allows the auxiliary line that converts a trendline to a channel to be drawn based on percentage or price. Note: There may be cases where the auxiliary lines do not provide full parallelism when using large time intervals by preferring a percentage. Up Trend Color: Indicates the color of the Up Trend channel. Down Trend Color: Specifies the color of the Downtrend channel. Show Up Trend Overflow, Show Down Trend Overflow: When the price closes above or below the trend channels, it provides awareness with the help of a text on the chart. Colors can be adjusted according to preference. ---------------------------------------------- RSI Divergences Settings: This indicator gives you information about 4 different divergences. You can customize the divergence views with the show and hide options. Bullish Regular, Bullish Hidden, Bearish Regular and Bearish Hidden. Green divergences from the bottom of the graph represent bullish, and red divergences above the graph represent bearish. Important note: Seeing a mismatch label definitely indicates that there is a mismatch between prices and rsi, but a mismatch does not always indicate a change in price. Potential Divergence: The indicator not only shows you past divergences, but also informs you of potential divergences based on the current status of the chart. A potential divergence may not turn into a true one if the price flow continues to increase or decrease in the same direction. But all divergences seen in the past must have been shown as potential divergences beforehand. Rsi Length, Rsi Source: Allows you to change settings for RSI values typically embedded within the indicator. Note: Pivot Source and RSI Source using the same type of candle data ensures that divergences are displayed correctly. ---------------------------------------------- EMA Settings: The indicator allows you to use 4 different EMA data in addition to Support and Resistance lines, Trend Channels and RSI divergences. By default, 21, 50, 100 and 200 are used. You can change the EMA values and colors in the Settings section, or you can use the show hide options in the Style section.
Pine Script® göstergesi
HasanGocmen tarafından
2
TSI + DivergencesTrue Strength Indicator (TSI) + Divergences + Alerts + Lookback periods. This version of the True Strength Indicator adds the following 3 additional features to the stock TSI by Tradingview: - Optional divergence lines drawn directly onto the oscillator. - Configurable alerts to notify you when divergences occur. - Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes. This indicator adds additional features onto the stock TSI by Tradingview, whose core calculations remain unchanged. Namely the configurable option to automatically, quickly and clearly draw divergence lines onto the oscillator for you as they occur, with minimal delay. It also has the addition of unique alerts, so you can be notified when divergences occur without spending all day watching the charts. Furthermore, this version of the TSI comes with configurable lookback periods, which can be configured in order to adjust the sensitivity of the divergences, in order to suit shorter or higher timeframe trading approaches. The True Strength Indicator Tradingview describes the True Strength Indicator as follows: “The True Strength Index (TSI) is a momentum oscillator that ranges between limits of -100 and +100 and has a base value of 0. Momentum is positive when the oscillator is positive (pointing to a bullish market bias) and vice versa. It was developed by William Blau and consists of 2 lines: the index line and an exponential moving average of the TSI, called the signal line. Traders may look for any of the following 5 types of conditions: overbought, oversold, centerline crossover, divergence and signal line crossover. The indicator is often used in combination with other signals..” What are divergences? Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction. There are 4 main types of divergence, which are split into 2 categories; regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation. Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend. Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend. Hidden bullish divergence: An indication of a potential uptrend continuation. Hidden bearish divergence: An indication of a potential downtrend continuation. Setting alerts. With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose. Configurable lookback values. You can adjust the default lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action. How do traders use divergences in their trading? A divergence is considered a leading indicator in technical analysis, meaning it has the ability to indicate a potential price move in the short term future. Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes. When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level. A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase. Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur. Disclaimer : This script includes code from the stock TSI by Tradingview as well as the RSI divergence indicator.
Pine Script® göstergesi
PHVNTOM_TRADER tarafından
7
Trend Gauge [BullByte]Trend Gauge Summary A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status. ________________________________________ ## 1. Purpose of the Indicator Why this was built Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades. Key Design Goals Signal Aggregation Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically. Market Regime Awareness Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts. Magnitude-Based Scaling Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength. Momentum Divergence Penalty Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries. Confidence Transparency Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable. Momentum Acceleration Visualization Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making. Compact Informational Dashboard Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment. ________________________________________ ## 2. Why a Trader Should Use It Main benefits and use cases 1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals. 2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts. 3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized. 4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal. 5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions. 6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator. 7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts. 8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic. 9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications. ________________________________________ ## 3. Component Rationale (“Why These Specific Indicators?”) Each sub-component was chosen because it adds complementary information about trend or momentum: 1. EMA Cross o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets. 2. VWMA Momentum o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum. 3. Volume Spikes o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars. 4. ATR Breakout o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal. 5. Higher-Timeframe EMA Alignment o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases. 6. ADX Regime Filter (Manual Calculation) o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired). 7. RSI Pivot-Divergence Penalty o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise. 8. Confidence Meter o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals. 9. Δ Score Momentum View o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator. 10. Dashboard • A table in the indicator pane’s top-right with 11 rows: 1. EMA Cross status 2. VWMA Momentum status 3. Volume Spike status 4. ATR Breakout status 5. Higher-Timeframe Trend status 6. Score (numeric) 7. Confidence % 8. Regime (“Trending” or “Ranging”) 9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”) 10. Gauge bar visually representing score magnitude • All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency. ________________________________________ ## 4. What Makes This Indicator Stand Out • Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals. • Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1. • Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time. • Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric. • Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early. • Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts. • Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias. • Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear. • Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips. • Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations. ________________________________________ ## 5. Recommended Timeframes & Tuning • Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However: o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence. o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart). • Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust: o ADX threshold (e.g., 20–30) based on instrument volatility. o VWMA and ATR scaling lengths to match average volatility cycles. o Pivot lookback for divergence: shorter for faster markets, longer for slower ones. • Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor. ________________________________________ ## 6. How Scoring and Logic Works (Step-by-Step) 1. Compute Sub-Scores o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0. o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to . o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0. o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low. o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment. 2. ADX Regime Weighting o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.” o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired). 3. Aggregate Raw Score o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero. 4. Divergence Penalty o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:  If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).  If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty. o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright. 5. Normalize and Smooth o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range. o Optional EMA smoothing of this normalized score to reduce noise. 6. Interpretation o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral. o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”). o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration. o Confidence: Percentage of sub-indicators aligned with the score’s sign. o Regime: Indicates whether trend-based signals are fully weighted or down-weighted. ________________________________________ ## 7. Oscillator Plot & Visualization: How to Read It Main Score Line & Area The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds. Δ Score Histogram If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar. Divergence Highlight Fill If enabled, when a pivot-based divergence is confirmed: • Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish. • Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish. These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag. Trend Direction Label When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur. Dashboard Panel In the indicator pane’s top-right, a table shows: 1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled” 2. VWMA Momentum status: similarly 3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled” 4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled” 5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled” 6. Score: numeric value (rounded) 7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low) 8. Regime: “Trending” or “Ranging” (colored accordingly) 9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”) 10. Gauge: a bar of blocks representing |score|/100 All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny). ________________________________________ ## 8. Example Usage (Illustrative Scenario) Example: BTCUSD 5 Min 1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small. 2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment. 3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits. 4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur. 5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section. 6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right. ________________________________________ ## 9. Inputs Explanation A concise yet clear summary of inputs helps users understand and adjust: 1. General Settings • Theme (Dark/Light): Choose background-appropriate colors for the indicator pane. • Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible. 2. Indicator Settings • Enable EMA Cross: Toggle on/off basic EMA alignment check. o Fast EMA Length and Slow EMA Length: Periods for EMAs. • Enable VWMA Momentum: Toggle VWMA momentum check. o VWMA Length: Period for VWMA. o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum. • Enable Volume Spike: Toggle volume spike detection. o Volume SMA Length: Period to compute average volume. o Volume Spike Multiplier: How many times above average volume qualifies as spike. o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish. • Enable ATR Breakout: Toggle ATR breakout detection. o ATR Length: Period for ATR. o Breakout Lookback: Bars to look back for recent highs/lows. o ATR Multiplier: Multiplier for breakout threshold. • Enable Higher Timeframe Trend: Toggle HTF EMA alignment. o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off. • Enable ADX Regime Filter: Toggles regime-based weighting. o ADX Length: Period for manual ADX calculation. o ADX Threshold: Value above which market considered trending. o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5). • Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude. o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum. • Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR. o ATR Scale Cap: Maximum multiple of ATR used for breakout strength. • Enable Price-RSI Divergence: Toggle divergence detection. o RSI Length for Divergence: Period for RSI. o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low. o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5). 3. Score Settings • Smooth Score: Toggle EMA smoothing of normalized score. • Score Smoothing Length: Period for smoothing EMA. • Weak Threshold: Absolute score value under which trend is considered weak or neutral. • Medium Threshold: Score above Weak but below Medium is moderate. • Strong Threshold: Score above this indicates strong trend. 4. Visualization Settings • Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true. • Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true. Each input has a tooltip in the code. ________________________________________ ## 10. Limitations, Repaint Notes, and Disclaimers 10.1. Repaint & Lag Considerations • Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result: o Divergence labels or fills appear with a delay equal to the pivot lookback. o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag. o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed. • Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars. • No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off. 10.2. Market & Noise Considerations • In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters. • On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features. • On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals. 10.3. Not a Standalone Trading System • This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management. • Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context). • No guarantees: past behavior does not guarantee future performance. 10.4. Disclaimers • Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice. • Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management. • No Guarantees: The author is not responsible for trading outcomes based on this indicator. • License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms. ________________________________________ ## 11. Alerts • The indicator defines three alert conditions: 1. Bullish Trend: when the aggregated score crosses above the Weak threshold. 2. Bearish Trend: when the score crosses below the negative Weak threshold. 3. Neutral Trend: when the score returns within ±Weak after being outside. Good luck – BullByte
Pine Script® göstergesi
BullByte tarafından
3
YD_Divergence_RSI+CMFThe ‘YD_Divergence_RSI+CMF’ indicator can find divergence using RSI (Relative Strength Index) and CMF (Chaikin Money Flow) indicators. 📌 Key functions 1. Search pivot high and pivot low points in a certain length of price. 2. Connect pivot high to pivot high , pivot low to pivot low , forming two standards for divergence in result. The marker then plots only the higher high, lower low lines. (higher low and lower high in prices are referred to hidden divergence, which are not considered in this indicator) 3. Compare the two standards with RSI and CMF indicators, send an alert if there is a divergence. As a result, the indicator will find four combination of divergence. A. Higher high price / Lower RSI (Bearish RSI Divergence) B. Lower low price / Higher RSI (Bullish RSI Divergence) C. Higher high price / Lower CMF (Bearish CMF Divergence) D. Lower low price / Higher CMF (Bullish CMF Divergence) 📌 Details Developing the indicators, we put a lot of effort in making a customizable and user-friendly interface. #1. Pivot Setting Users can set the length to find the pivot high / pivot low in ‘Pivot Settings – Pivot Length.’ Increased pivot Length takes more candles to interpret the chart but reduce false signals since the it uses only the most certain pivot high / pivot low values. Obviously, decreased pivot length will act the opposite. Users can choose whether to use ‘High/Low’ or ‘Close’ in ‘Pivot Reference’ to set the swing point of prices. Users can also choose whether to display the pivot high / pivot low marker on the chart. #2 RSI & CMF Settings Users can adjust the length of RSI & CMF separately. (The default values are set to 14 and 20 each.) #3 Label Setting Users can adjust the text displayed on the chart label. (The default values is set to ‘Bullish / Bearish’, ‘RSI/CMF’, ‘Divergence’.) Users can reduce the length of text label or simply turn the label off. Just click the ‘Bull/Bear’ or ‘None’ button. ‘Divergence’ works the same. Users can decide whether to display the ‘Divergence Line and Label’, set custom settings for the label and line. (color, thickness, style, etc) 📌 Alert Alert are provided as a combination of the chart's symbol and the set label text. For example, ‘BINANCE:BTCUSDT.P, Bullish RSI Divergence’ ==================================================== "YD_Divergence_RSI+CMF" 지표 는 RSI와 CMF 지표를 이용해서 Divergence 를 찾아낼 수 있습니다. 📌 주요 기능 1. 정해진 가격 움직임 안에서 pivot high와 pivot low 포인트 를 찾아냅니다. 2. Pivot high로만 이어진 라인과, Pivot low로만 이어진 두 라인을 작도한 뒤 divergence의 기준으로 삼습니다. 이 지표에서는 normal divergence만 사용하기 때문에 차트에 higher high와 lower low만 표기 합니다. (higher low와 lower high는 hidden divergence로 정의되며, 이 지표에서는 다루지 않습니다. 3. 두 기준선과 RSI, CMF 지표를 각각 비교하고, 결과적으로 4개의 조합을 구할 수 있습니다. A. Higher high price / Lower RSI (Bearish RSI Divergence) B. Lower low price / Higher RSI (Bullish RSI Divergence) C. Higher high price / Lower CMF (Bearish CMF Divergence) D. Lower low price / Higher CMF (Bullish CMF Divergence) 📌 세부 사항 지표를 개발하며 사용자들이 원하는 방향으로 지표를 설정할 수 있게 작업에 많은 공을 들였습니다. 굉장히 다양한 옵션을 선택할 수 있으며, 원하는 방식으로 지표를 사용할 수 있습니다. #1 Pivot Setting Pivot setting에서는 Pivot Length를 변경할 수 있습니다. Pivot Length를 늘릴 경우, 보다 확실한 Swing High와 Swing Low만을 사용하게 되므로, False signal이 줄어들 수 있습니다. 하지만 Swing High/ Low를 판정하는 데에 더 긴 시간이 걸리게 되므로, Signal이 다소 늦게 발생하는 단점이 생기게 됩니다. Pivot Length를 줄일 경우, 반대로 Swing High/Low의 판정이 더 빨리 일어나기 때문에, Signal을 거래에 이용하기는 좋을 수 있습니다. 다만, Swing High와 Low가 훨씬 더 잦은 빈도로 발생하기 때문에 False Signal을 줄 가능성이 높아집니다. Pivot Reference에서는 가격의 Swing Point를 설정함에 있어, High/Low(고가/저가)를 이용할 지 Close (종가)를 이용할 지 선택할 수 있습니다. Pivot High/Low Marker를 선택할 경우 Pivot High/ Low에 Marker가 찍히게 됩니다. #2 RSI와 CMF Setting RSI와 CMF Setting에서는 RSI와 CMF의 길이를 각각 설정할 수 있습니다. 기본값은 14와 20으로 설정되어 있습니다. #3 Label Setting Label Setting에서는 Label에 표시되는 글자를 선택할 수 있습니다. 기본값은 "Bullish / Bearish", "RSI/CMF", "Divergence"로 선택되어 있으며, 너무 길다고 느껴질 경우 "Bull/Bear" 혹은 "None"을 클릭하여 길이를 줄일 수 있습니다. 마찬가지로 Divergence의 경우도 생략이 가능합니다. 하단에서는 Divergence Line과 Label을 켜고 끌 수 있으며, 선의 색깔, 굵기, 종류, 그리고 Label의 색깔, 크기, 종류를 선택할 수 있습니다. Label의 Text 색 역시 변경이 가능합니다. 📌 얼러트 얼러트는 자신이 설정한 차트의 심볼과 Label의 문구의 조합으로 제공되며 예를 들면 다음과 같습니다. "BINANCE:BTCUSDT.P, Bullish RSI Divergence"
Pine Script® göstergesi
Yonsei_dent tarafından
4
Advanced Divergence IndicatorAdvanced Divergence Indicator Unlock the full potential of your trading strategy with the Advanced Divergence Indicator, a powerful tool designed to identify and analyze bullish and bearish divergences using multiple technical indicators. Whether you're a seasoned trader or just starting out, this indicator provides clear, actionable signals to help you make informed trading decisions. What It Does The Advanced Divergence Indicator detects divergences between price movements and key technical indicators, specifically the Relative Strength Index (RSI) and On-Balance Volume (OBV). Divergence occurs when the price trends in one direction while the indicator trends in the opposite direction, signaling potential reversals or continuations in the market. Key Features Multi-Indicator Analysis RSI Divergence: Identifies bullish and bearish divergences using the RSI, helping you spot potential reversals based on momentum. OBV Divergence: Utilizes OBV to detect divergences related to volume flow, providing insights into the strength behind price movements. Bullish and Bearish Signals Bullish Divergence: Signals when indicators show higher lows while the price forms lower lows, suggesting a potential upward reversal. Bearish Divergence: Alerts when indicators display lower highs while the price creates higher highs, indicating a possible downward reversal. Signal Strength Classification Standard Signals: Represent typical divergence occurrences, marked with green (bullish) and red (bearish) labels. Strong Signals: Highlighted with yellow (strong bullish) and blue (strong bearish) labels when divergences coincide with overbought or oversold conditions, enhancing signal reliability. Customizable Settings Indicator Selection: Choose to enable RSI, OBV, or both based on your trading preferences. Pivot Points: Adjust the number of bars left and right to fine-tune pivot detection for more accurate divergence identification. Range Configuration: Set minimum and maximum bar ranges to control the sensitivity of divergence detection, suitable for different timeframes and trading styles. Noise Cancellation: Reduce false signals by enabling noise filtering, ensuring that only significant divergences are highlighted. Visual Clarity Color-Coded Labels: Easily distinguish between different types of divergences with intuitive color codes—green for bullish, red for bearish, yellow for strong bullish, and blue for strong bearish signals. Clean Chart Display: The indicator overlays seamlessly on your chart without clutter, ensuring that signals are easily identifiable without distracting from price action. Real-Time Alerts Custom Alert Conditions: Receive instant notifications for bullish and bearish divergences, enabling you to act promptly on potential trading opportunities. Combined Alerts: Get alerts for either bullish or bearish signals, or both, based on your selected criteria. How to Use Add the Indicator to Your Chart Apply the Advanced Divergence Indicator to your desired chart and timeframe. Configure Settings Select Indicators: Choose to enable RSI, OBV, or both under the "Indicator Settings" group. Adjust Parameters: Customize RSI length, pivot points, and divergence ranges to match your trading strategy and the specific asset you are analyzing. Enable Noise Cancellation: Activate this feature to filter out minor divergences and focus on more significant signals. Interpret the Signals Bullish Signals: Look for green or yellow labels below the price bars indicating potential upward reversals. Bearish Signals: Identify red or blue labels above the price bars signaling possible downward reversals. Strong Signals: Pay special attention to yellow and blue labels as they denote stronger divergences with higher reliability. Set Up Alerts Configure alert conditions within the indicator to receive real-time notifications when bullish or bearish divergences are detected, ensuring you never miss a trading opportunity. Why Choose Advanced Divergence Indicator Comprehensive Analysis : By combining RSI and OBV, the indicator provides a more robust analysis compared to single-indicator tools, enhancing the accuracy of divergence detection. Flexibility : Highly customizable settings allow traders to tailor the indicator to their unique strategies and market conditions. User-Friendly : Clear labels and color codes make it easy for traders of all levels to understand and act on the signals. Reliability : Strong signal classification and noise cancellation features help reduce false positives, providing more trustworthy trading signals.
Pine Script® göstergesi
naserboss tarafından
Open Interest-RSI + Funding + Fractal DivergencesIndicator — “Open Interest-RSI + Funding + Fractal Divergences” A multi-factor oscillator that fuses Open-Interest RSI, real-time Funding-Rate data and price/OI fractal divergences. It paints BUY/SELL arrows in its own pane and directly on the price chart, helping you spot spots where crowd positioning, leverage costs and price action contradict each other. 1 Purpose OI-RSI – measures conviction behind position changes instead of price momentum. Funding Rate – shows who pays to hold positions (longs → bull bias, shorts → bear bias). Fractal Divergences – detects HH/LL in price that are not confirmed by OI-RSI. Optional Funding filter – hides signals when funding is already extreme. Together these elements highlight exhaustion points and potential mean-reversion trades. 2 Inputs RSI / Divergence RSI length – default 14. High-OI level / Low-OI level – default 70 / 30. Fractal period n – default 2 (swing width). Fractals to compare – how many past swings to scan, default 3. Max visible arrows – keeps last 50 BUY/SELL arrows for speed. Funding Rate mode – choose FR, Avg Premium, Premium Index, Avg Prem + PI or FR-candle. Visual scale (×) – multiplies raw funding to fit 0-100 oscillator scale (default 10). specify symbol – enable only if funding symbol differs from chart. use lower tf – averages 1-min premiums for smoother intraday view. show table – tiny two-row widget at chart edge. Signal Filter Use Funding filter – ON hides long signals when funding > Buy-threshold and short signals when funding < Sell-threshold. BUY threshold (%) – default 0.00 (raw %). SELL threshold (%) – default 0.00 (raw %). (Enter funding thresholds as raw percentages, e.g. 0.01 = +0.01 %). 3 Visual Outputs Sub-pane Aqua OI-RSI curve with 70 / 50 / 30 reference lines. Funding visualised according to selected mode (green above 0, red below 0, or other). BUY / SELL arrows at oscillator extremes. Price chart Identical BUY / SELL arrows plotted with force_overlay = true above/below candles that formed qualifying fractals. Optional table Shows current asset ticker and latest funding value of the chosen mode. 4 Signal Logic (Summary) Load _OI series and compute RSI. Retrieve Funding-Rate + Premium Index (optionally from lower TF). Find fractal swings (n bars left & right). Check divergence: Bearish – price HH + OI-RSI LH. Bullish – price LL + OI-RSI HL. If Funding-filter enabled, require funding < Buy-thr (long) or > Sell-thr (short). Plot arrows and trigger two built-in alerts (Bearish OI-RSI divergence, Bullish OI-RSI divergence). Signals are fixed once the fractal bar closes; they do not repaint afterwards. 5 How to Use Attach to a liquid perpetual-futures chart (BTC, ETH, major Binance contracts). If _OI or funding series is missing you’ll see an error. Choose timeframe: 15 m – 4 h for intraday; 1 D+ for swing trades. Lower TFs → more signals; raise Fractals to compare or use Funding filter to trim noise. Trade checklist Funding positive and rising → longs overcrowded. Price makes higher high; OI-RSI makes lower high; Funding above Sell-threshold → consider short. Reverse logic for longs. Combine with trend filter (EMA ribbon, SuperTrend, etc.) so you fade only when price is stretched. Automation – set TradingView alerts on the two alertconditions and send to webhooks/bots. Performance tips Keep Max visible arrows ≤ 50. Disable lower-TF premium aggregation if script feels heavy. 6 Limitations Some symbols lack _OI or funding history → script stops with a console message. Binance Premium Index begins mid-2020; older dates show na. Divergences confirm only after n bars (no forward repaint). 7 Changelog v1.0 – 10 Jun 2025 Initial public release. Added price-chart arrows via force_overlay.
Pine Script® göstergesi
RezzoRedPriest tarafından
6
AekFreedom Trading OscillatorAekFreedom Trading Oscillator: User Guide Overview The AekFreedom Trading Oscillator is a comprehensive, all-in-one technical analysis tool designed for TradingView. It consolidates a powerful suite of essential indicators into a single, highly customizable indicator pane. The primary goal is to reduce chart clutter and provide traders with a multi-faceted view of the market, combining momentum, trend strength, volatility, and divergence signals in one place. Core Features & Indicators This script includes the following fully customizable indicators: Relative Strength Index (RSI): A core momentum oscillator used to measure the speed and change of price movements. It features gradient fills for overbought (70-100) and oversold (0-30) zones, along with an optional smoothing moving average. Stochastic Oscillator: Another momentum indicator that compares a particular closing price of a security to a range of its prices over a certain period of time to identify overbought and oversold conditions. MACD (Moving Average Convergence Divergence): A trend-following momentum indicator that shows the relationship between two exponential moving averages (EMAs). It includes the MACD line, Signal line, and Histogram. Awesome Oscillator (AO): A momentum indicator that measures the market's driving force by comparing recent momentum with general momentum over a wider timeframe. ADX (Average Directional Index): An indicator used to quantify the strength of a trend, regardless of its direction (up or down). An ADX value over 25 typically suggests a strong trend. ATR (Average True Range): A key indicator for measuring market volatility. Advanced Divergence Engine One of the most powerful features of this script is its built-in Divergence Engine. It can automatically detect and display both Regular Bullish and Regular Bearish divergences. Supported Indicators: Divergence detection is available for RSI, Awesome Oscillator (AO), and the MACD Line. Visual Signals: When a divergence is found, the script will: Draw a line on the oscillator connecting the relevant pivot points. Display a "Bull" or "Bear" label directly below or above the signal for easy identification. Alerts: You can set up alerts in TradingView that will trigger whenever a new divergence signal appears. How to Use: Settings Panel The indicator is fully customizable via the settings panel. Indicator Visibility This is your main control panel for toggling visuals on and off to keep your chart clean. Show...: Check or uncheck any indicator (e.g., Show RSI & MA, Show Stochastic, Show ATR) to display or hide it instantly. Show... Divergence: Use these checkboxes (e.g., Show RSI Divergence) to control the visibility of the divergence lines and labels on the chart. Indicator-Specific Settings Each indicator has its own group of settings for fine-tuning its parameters. RSI / AO / MACD Settings: Here you can adjust standard parameters like Length, Source, etc. IMPORTANT: Each of these has a Calculate Divergence checkbox. You must enable this checkbox for the script to perform the resource-intensive calculation for that indicator's divergence. Stochastic Settings: Adjust the %K Length, %K Smoothing, and %D Smoothing. ADX Settings: Adjust the ADX Smoothing and DI Length. ATR Settings: Adjust the Length for the ATR calculation. 📌 How to Enable Divergence Signals (2 Steps): To see divergence for an indicator (e.g., MACD), you must do two things: Go to "MACD Settings" and check the box for Calculate Divergence. Go to "Indicator Visibility" and ensure the box for Show MACD Divergence is also checked.
Pine Script® göstergesi
AekFreedom tarafından
Ultimate Oscillator + DivergencesUltimate Oscillator (UO) + Divergences + Alerts + Lookback periods. This version of the Ultimate Oscillator adds the following 3 additional features to the stock UO by Tradingview: - Optional divergence lines drawn directly onto the oscillator. - Configurable alerts to notify you when divergences occur. - Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes. This indicator adds additional features onto the stock Ultimate Oscillator by Tradingview, whose core calculations remain unchanged. Namely the configurable option to automatically, quickly and clearly draw divergence lines onto the oscillator for you as they occur, with minimal delay. It also has the addition of unique alerts, so you can be notified when divergences occur without spending all day watching the charts. Furthermore, this version of the Ultimate Oscillator comes with configurable lookback periods, which can be configured in order to adjust the sensitivity of the divergences, in order to suit shorter or higher timeframe trading approaches. The Ultimate Oscillator Tradingview describes the Ultimate Oscillator as follows: “The Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes. The problem with many momentum oscillators is that after a rapid advance or decline in price, they can form false divergence trading signals. For example, after a rapid rise in price, a bearish divergence signal may present itself, however price continues to rise. The ultimate Oscillator attempts to correct this by using multiple timeframes in its calculation as opposed to just one timeframe which is what is used in most other momentum oscillators.” More information on the history, use cases and calculations of the Ultimate Oscillator can be found here: www.tradingview.com What are divergences? Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction. There are 4 main types of divergence, which are split into 2 categories; regular divergences and hidden divergences . Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation. Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend. Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend. Hidden bullish divergence: An indication of a potential uptrend continuation. Hidden bearish divergence: An indication of a potential downtrend continuation. Setting alerts. With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose. Configurable lookback values. You can adjust the default lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action. How do traders use divergences in their trading? A divergence is considered a leading indicator in technical analysis, meaning it has the ability to indicate a potential price move in the short term future. Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes. When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level. A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase. Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur. Disclaimer : This script includes code from the stock UO by Tradingview as well as the RSI divergence indicator.
Pine Script® göstergesi
PHVNTOM_TRADER tarafından
1
Reversal Radars — Berk v2.0 (Bottom & Top)1) Combined script (Dip+Tepe) Title: Reversal Radars — Berk v2.0 (Bottom & Top) Description (EN): What it does Two high-probability reversal detectors in one indicator: a Bottom Reversal Radar (long bias) and a Top Reversal Radar (short/hedge bias). Each radar aggregates multiple conditions into a single score and triggers when Score ≥ Threshold. How it works RSI regime shift: Bottom = recovery after oversold (touched 30, crosses up 35). Top = roll-over from overbought (touched 70, crosses down 65). MACD cross: Bull (up) for bottoms, Bear (down) for tops. EMA8 filter: Close above (bottom) / below (top) EMA(8). Structure break (BOS): Close above recent swing high / below recent swing low (lookbackBars, using precomputed highest/lowest to avoid inconsistencies). EMA200 proximity: Price within a configurable band (default −5% … +2%). Volume expansion: Volume ≥ SMA(20) × multiplier (default 1.5×). Divergence: Pivot-confirmed (3/3) bullish (bottom) or bearish (top) RSI divergence. Scoring: RSI shift +2, divergence +2, MACD +1, EMA8 +1, BOS +1, Volume +1, EMA200 band +1. Signals & Alerts Bottom: label “DÖNÜŞ↑” and alert “Dipten Dönüş — Ana Sinyal” when scoreLong ≥ thrLong. Top: label “DÖNÜŞ↓” and alert “Tepeden Dönüş — Ana Sinyal” when scoreShort ≥ thrShort. Use Once per bar close for stable alerts. Inputs lenRSI, rsiOS=30, rsiRecover=35, rsiOB=70, rsiFall=65, volLen=20, volMult=1.5, lookbackBars=5, ema200 band (−5…+2%), thrLong/thrShort, toggles for Bottom/Top. Timeframes & tips Best on Daily/4H. Tighten thresholds (e.g., 4) and raise volume multiplier (1.8–2.0×) on lower TFs or thin liquidity. No-repaint note Evaluated on bar close; pivot divergences confirm with a natural ~3-bar delay. Disclaimer Educational use only. Not financial advice. Tags: reversal, divergence, rsi, macd, ema, volume, trend, screener, stocks, crypto, bist 2) Bottom-only (Dip) Title: Bottom Reversal Radar — Berk v1.4 Description (EN): Purpose Scores bottoming conditions and triggers when Score ≥ Threshold (default 3). Components RSI recovery after oversold (30→35), MACD bull cross, close above EMA8, BOS above recent swing high, near-EMA200 band (−5…+2%), volume ≥ SMA(20)×1.5, and pivot-confirmed (3/3) bullish RSI divergence. Weights: RSI +2, Divergence +2, others +1. Usage Add to chart, set alert “Dipten Dönüş — Ana Sinyal”, Once per bar close. Works on any timeframe (need ≥200 bars for EMA200). Daily/4H recommended. No-repaint Bar-close evaluation; divergence confirms with ~3 bars. Tags: bottom, reversal, rsi, macd, ema, volume, divergence 3) Top-only (Tepe) Title: Top Reversal Radar — Berk v1.0 Description (EN): Purpose Detects topping risk and triggers when Score ≥ Threshold (default 3) for exits/hedges. Components RSI roll-over from overbought (70→65), MACD bear cross, close below EMA8, BOS below recent swing low, near-EMA200 band, volume ≥ SMA(20)×1.5, and pivot-confirmed (3/3) bearish RSI divergence. Weights: RSI +2, Divergence +2, others +1. Usage Add to chart, set alert “Tepeden Dönüş — Ana Sinyal”, Once per bar close. Daily/4H preferred; tighten thresholds on lower TFs. No-repaint Bar-close evaluation; divergence confirms with ~3 bars. Tags: top, reversal, rsi, macd, ema, volume, divergence
Pine Script® göstergesi
berkyuo2 tarafından
Price Exhaustion Envelope [BackQuant]Price Exhaustion Envelope Visual preview of the bands: What it is The Price Exhaustion Envelope (PEE) is a multi‑factor overextension detector wrapped inside a dynamic envelope framework. It measures how “tired” a move is by blending price stretch, volume surges, momentum and acceleration, plus optional RSI divergence. The result is a composite exhaustion score that drives both on‑chart signals and the adaptive width of three optional envelope bands around a smoothed baseline. When the score spikes above or below your chosen threshold, the script can flag exhaustion, paint candles, tint the background and fire alerts. How it works under the hood Exhaustion score Price component: distance of close from its mean in standard deviation units. Volume component: normalized volume pressure that highlights unusual participation. Momentum component: rate of change and acceleration of price, scaled by their own volatility. RSI divergence (optional): bullish and bearish divergences gently push the score lower or higher. Mode control: choose Price, Volume, Momentum or Composite. Composite averages the main pieces for a balanced view. Energy scale (0 to 100) The composite score is pushed through a logistic transform to create an “energy” value. High energy (above 70 to 80) signals a move that may be running hot, while very low energy (below 20 to 30) points to exhaustion on the downside. Envelope engine Baseline: EMA of price over the main lookback length. Width: base width is standard deviation times a multiplier. Type selector: • Static keeps the width fixed. • Dynamic expands width in proportion to the absolute exhaustion score. • Adaptive links width to the energy reading so bands breathe with market “heat.” Smoothing: a short EMA on the width reduces jitter and keeps bands pleasant to trade around. Band architecture You can toggle up to three symmetric bands on each side of the baseline. They default to 1.0, 1.6 and 2.2 multiples of the smoothed width. Soft transparent fills create a layered thermograph of extension. The outermost band often maps to true blow‑off extremes. On‑chart elements Baseline line that flips color in real time depending on where price sits. Up to three upper and lower bands with progressive opacity. Triangle markers at fresh exhaustion triggers. Tiny warning glyphs at extreme upper or lower breaches. Optional bar coloring to visually tag exhausted candles. Background halo when energy > 80 or < 20 for instant context. A compact info table showing State, Score, Energy, Momentum score and where price sits inside the envelope (percent). How to use it in trading Mean reversion plays When price pierces the outer band and an exhaustion marker prints, look for reversal candles or lower‑timeframe confirmation to fade the move back toward the baseline. For conservative entries, wait for the composite score to roll back under the threshold or for energy to drop from extreme to neutral. Set stops just beyond the extreme levels (use extreme_upper and extreme_lower as natural invalidation points). Targets can be the baseline or the opposite inner band. Trend continuation with smart pullbacks In strong trends, the first tag of Band 1 or Band 2 against the dominant direction often offers low‑risk continuation entries. Use energy readings: if energy is low on a pullback during an uptrend, a bounce is more likely. Combine with RSI divergence: hidden bullish divergence near a lower band in an uptrend can be a powerful confirmation. Breakout filtering A breakout that occurs while the composite score is still moderate (not exhausted) has a higher chance of follow‑through. Skip signals when energy is already above 80 and price is punching the outer band, as the move may be late. Watch env_position (Envelope %) in the table. Breakouts near 40 to 60 percent of the envelope are “healthy,” while those at 95 percent are stretched. Scaling out and risk control Use exhaustion alerts to trim positions into strength or weakness. Trail stops just outside Band 2 or Band 3 to stay in trends while letting the envelope expand in volatile phases. Multi‑timeframe confluence Run the script on a higher timeframe to locate exhaustion context, then drill down to a lower timeframe for entries. Opposite signals across timeframes (daily exhaustion vs. 5‑minute breakout) warn you to reduce size or tighten management. Key inputs to experiment with Lookback Period: larger values smooth the score and envelope, ideal for swing trading. Shorter values make it reactive for scalps. Exhaustion Threshold: raise above 2.0 in choppy assets to cut noise, drop to 1.5 for smooth FX pairs. Envelope Type: Dynamic is great for crypto spikes, Adaptive shines in stocks where volume and volatility wave together. RSI Divergence: turn off if you prefer a pure price/volume model or if divergence floods the score in your asset. Alert set included Fresh upper exhaustion Fresh lower exhaustion Extreme upper breach Extreme lower breach RSI bearish divergence RSI bullish divergence Hook these to TradingView notifications so you get pinged the moment a move hits exhaustion. Best practices Always pair exhaustion signals with structure. Support and resistance, liquidity pools and session opens matter. Avoid blindly shorting every upper signal in a roaring bull market. Let the envelope type help you filter. Use the table to sanity‑check: a very high score but mid‑range env_position means the band may still be wide enough to absorb more movement. Backtest threshold combinations on your instrument. Different tickers carry different volatility fingerprints. Final note Price Exhaustion Envelope is a flexible framework, not a turnkey system. It excels as a context layer that tells you when the crowd is pressing too hard or when a move still has fuel. Combine it with sound execution tactics, risk limits and market awareness. Trade safe and let the envelope breathe with the market.
Pine Script® göstergesi
BackQuant tarafından
2
Multi-Divergence Buy/Sell IndicatorThe "Multi-Divergence Buy/Sell Indicator" is a technical analysis tool that combines multiple divergence signals from different indicators to identify potential buy and sell opportunities in the market. Here's a breakdown of how the indicator works and how to use it: Input Parameters: RSI Length: Specifies the length of the RSI (Relative Strength Index) calculation. MACD Short Length: Specifies the short-term length for the MACD (Moving Average Convergence Divergence) calculation. MACD Long Length: Specifies the long-term length for the MACD calculation. MACD Signal Smoothing: Specifies the smoothing length for the MACD signal line calculation. Stochastic Length: Specifies the length of the Stochastic oscillator calculation. Stochastic Overbought Level: Defines the overbought level for the Stochastic oscillator. Stochastic Oversold Level: Defines the oversold level for the Stochastic oscillator. Calculation of Indicators: RSI: Calculates the RSI based on the specified RSI Length. MACD: Calculates the MACD line, signal line, and histogram based on the specified MACD parameters. Stochastic: Calculates the Stochastic oscillator based on the specified Stochastic parameters. Divergence Detection: RSI Divergence: Identifies a bullish divergence when the RSI crosses above its 14-period simple moving average (SMA). MACD Divergence: Identifies a bullish divergence when the MACD line crosses above the signal line. Stochastic Divergence: Identifies a bullish divergence when the Stochastic crosses above its 14-period SMA. Buy and Sell Conditions: Buy Condition: Triggers a buy signal when all three divergences (RSI, MACD, and Stochastic) occur simultaneously. Sell Condition: Triggers a sell signal when both RSI and MACD divergences occur, but Stochastic divergence does not occur. Plotting Buy/Sell Signals: The indicator plots green "Buy" labels below the price bars when the buy condition is met. It plots red "Sell" labels above the price bars when the sell condition is met. Usage: The indicator can be used on any timeframe and for any trading instrument. Look for areas where all three divergences (RSI, MACD, and Stochastic) align to generate stronger buy and sell signals. Consider additional technical analysis and risk management strategies to validate the signals and manage your trades effectively. Remember, no indicator guarantees profitable trades, so it's essential to use this indicator in conjunction with other tools and perform thorough analysis before making trading decisions. Feel free to ask any questions
Pine Script® göstergesi
brutaltraderyt tarafından
10
RSI Screener Multi Timeframe [5ema]This indicator is the simple version of my indicator: RSI Screener and Divergence . Only show table with values, signals at 5 custom timeframes. ----- I reused some functions, made by (i believe that): ©paaax: The table position function. @kingthies: The RSI divergence function. @QuantNomad: The function calculated value and array screener for 40+ instruments. I have commented in my code. Thanks so much! ----- How it works: 1. Input : Length of RSI => calculate RSI. Upper/lower => checking RSI overbought/oversold. Right bars / left bars => returns price of the pivot low & high point => checking divergence. Range upper / lower bars => compare the low & high point => checking divergence. Timeframe => request.security another time frame. Table position => display screener table. 2. Input bool: Regular Bearish divergence. Hidden Bullish divergence . Hidden Bearish divergence. 3. Basic calculated: Make function for RSI , pivot low & high point of RSI and price. Request.security that function for earch time frame. Result RSI, Divergence. 4. Condition of signal: Buy condition: RSI oversold (1) Bullish divergence (2). => Buy if (1) and (2), review buy (1) or (2). Sell condition: RSI overbought (3). Bearish divergence (4). => Sell if (3) and (4), review sell (3) or (4). ----- Table screener: Time frame. RSI (green - oversold, red - overbought) Divergence (>> - regular bullish , << regular bearish , > - hidden bullish , < - hidden bearish ). Signal (green ⦿ - Buy, red ⦿ - Sell, green 〇 - review buy, red 〇 - review sell). - Regular Bearish divergence: - Regular Bullish divergence: - Regular Bullish divergence + RSI overSold - Regular Bearish divergence + RSI overBought ----- This indicator is for reference only, you need your own method and strategy. If you have any questions, please let me know in the comments.
Pine Script® göstergesi
vn5ema tarafından
2
RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔹 RSI (Crossover) MA Forecast 🔹 RSI (Crossunder) MA Forecast 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔸 RSI (Crossover) MA Forecast 🔸 RSI (Crossunder) MA Forecast 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® göstergesi
Titans_Invest tarafından
RSI Forecast [Titans_Invest]RSI Forecast Introducing one of the most impressive RSI indicators ever created – arguably the best on TradingView, and potentially the best in the world. RSI Forecast is a visionary evolution of the classic RSI, merging powerful customization with groundbreaking predictive capabilities. While preserving the core principles of traditional RSI, it takes analysis to the next level by allowing users to anticipate potential future RSI movements. Real-Time RSI Forecasting: For the first time ever, an RSI indicator integrates linear regression using the least squares method to accurately forecast the future behavior of the RSI. This innovation empowers traders to stay one step ahead of the market with forward-looking insight. Highly Customizable: Easily adapt the indicator to your personal trading style. Fine-tune a variety of parameters to generate signals perfectly aligned with your strategy. Innovative, Unique, and Powerful: This is the world’s first RSI Forecast to apply this predictive approach using least squares linear regression. A truly elite-level tool designed for traders who want a real edge in the market. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _______________________________________________________________________ 🥇 This is the world’s first RSI indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________ _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔮 RSI (Crossover) MA Forecast 🔮 RSI (Crossunder) MA Forecast ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® göstergesi
Titans_Invest tarafından
3
RSI Full [Titans_Invest]RSI Full One of the most complete RSI indicators on the market. While maintaining the classic RSI foundation, our indicator integrates multiple entry conditions to generate more accurate buy and sell signals. All conditions are fully configurable, allowing complete customization to fit your trading strategy. ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones: Overbought: When the RSI is above 70, indicating that the asset may be overbought. Oversold: When the RSI is below 30, indicating that the asset may be oversold. Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND/OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND/OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy the Spell! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® göstergesi
Titans_Invest tarafından
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset. 🔶 KEY FEATURES 🔸Average Momentum Trendline for Each Timeframe The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements. 🔸Real-time Divergence Indication and Alert Table The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes. 🔸Color and Size Based Labels on Price Chart based on Divergence Type The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance. 🔶 INSTRUCTION GUIDELINES 🔸Identify Divergence Clusters The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences. 🔸Spot Low Probability Divergences To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred. 🔶 INDIVIDUAL CONFIGURATION 🔸Leading Asset This input allows the user to select the leading asset for the divergence analysis. 🔸Following Asset This input allows the user to select the following asset for the divergence analysis. 🔸Higher Timeframe This input sets the higher timeframe for the analysis. 🔸Lower Timeframe This input sets the lower timeframe for the analysis. 🔸Show RSI Divergence This input enables or disables the display of RSI divergence signals. 🔸RSI Length This input sets the length of the RSI calculation. 🔸RSI Source This input sets the source data for the RSI calculation (e.g., close price). 🔸RSI Smoothing Length This input sets the length of the smoothing applied to the RSI values. 🔸Smoothing Method This input sets the method used for smoothing the RSI values. 🔶 CONCLUSION The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
Pine Script® göstergesi
AlgoFyre tarafından
1
[E5 Trading] Advanced RSIAdvanced RSI Overview The traditional RSI momentum indicator measures the magnitude of price changes over a user-specified period to determine overbought and oversold conditions in the price of an asset. E5 Trading Advanced RSI adds several sophisticated features to enhance the analysis of RSI to detect early signs of trend reversals and continuations. Advanced capabilities include customizable fast and slow RSI moving averages, RSI Bollinger Bands, relative overbought and oversold signals, and regular and hidden divergences. These features provide traders with opportunities to identify confluence using other E5 Trading indicator suite signals and increase the probability of entering winning trades. RSI Moving Averages RSI moving average crossovers help determine momentum shifts in the overall trend, similar to price moving average crossovers. Set the moving average type (default: EMA ), fast-moving RSI period (default: 3), and slow-moving RSI period (default: 5). When the fast-moving RSI crosses above the slow-moving RSI, bullish. When the fast-moving RSI crosses under the slow-moving RSI, bearish. The Moving Average Fill feature (default: On) colors the area between the fast-moving and slow-moving RSI lines with bullish and bearish momentum shading. RSI Bollinger Bands Like Bollinger Bands for price action, RSI Bollinger Bands can be used as moving oversold and overbought thresholds, which adjust with the RSI oscillator based on its volatility. When RSI breaks out above the upper RSI Bollinger Band, the asset is overbought on a relative basis, given its price history. When RSI breaks out below the lower RSI Bollinger Band, the asset is oversold on a relative basis. Evaluating RSI on a relative basis is more reliable than evaluating RSI on an absolute basis with fixed 30/70 thresholds for oversold/overbought, which traditional RSI analysis relies on. This is because rigid 30/70 thresholds are arbitrary rules-of-thumb that may (or may not) be relevant to current market conditions. When RSI is riding the upper or lower Bollinger Bands and breaks towards the middle, this reversion to the mean (i.e., basis line) can signal that the trend may be reversing. Toggle to turn on the basis (i.e., mean) line of the RSI Bollinger Bands. The basis line can also be used as a support line when RSI values are above it or as a resistance line when RSI values are below it. Relative Oversold | Overbought Relative Oversold | Overbought signals (i.e., dots) provide the Advanced RSI trader with the means to identify trend reversal or continuation opportunities that most traders will miss. Relative Oversold | Overbought signals reflect an adaptive approach that normalizes RSI data relative to the trend using RSI Bollinger Bands. These signals improve the reliability of RSI oversold and overbought signals compared to traditional methods and eliminate the need to trade within the confines of fixed 30/70 RSI thresholds. Signals will appear even when the standard RSI line may be far away from the generally accepted oversold and overbought thresholds (i.e., 30 and 70, respectively). Advanced RSI Divergences Divergences occur when a technical indicator, like an oscillator, moves in the opposite direction of the price. They often serve as an early warning of a trend reversal (via regular divergence signals) or trend continuation (via hidden divergence signals). Regular divergences provide an early warning signal of potential trend reversals (i.e., trend weakening). Hidden divergences provide an early warning signal of potential trend continuation (i.e., trend strength). Regular and Hidden divergences flag in real-time when 'Potential' (default) is selected as the Divergences Confirmation State. This feature is a leading indicator that provides the trader with an early warning of a potential trend change (regular divergences) or trend continuation (hidden divergences). Potential RSI regular divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘R’ below and above the RSI line, respectively. Potential RSI hidden divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘H’ below and above the RSI line, respectively. Confirmed RSI regular divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘R-Bull’ below and 'R-Bear' above the RSI line, respectively. Confirmed RSI hidden divergence signals are plotted directly on the RSI chart, with bullish and bearish divergences flagging with an ‘H-Bull’ below and 'H-Bear' above the RSI line, respectively. Always practice risk management: Use proper position sizing and a stop-loss on every trade.
Pine Script® göstergesi
E5Trading tarafından
FRL RSI-DivsThis indicator highlights RSI divergences. R green label: Regular Bullish Divergence. H green label: Hidden Bullish Divergence. R red label: Regular Bearish Divergence. H red label: Hidden Bearish Divergence. You can choose the range where the Divergences should be looked for. Bars Back Min should not be too low to avoid too many false positives. I found that using a Min of 100 and a Max of 200 was giving decent results. When a Divergence is found and printed, the value shown in the upper left corner is the number of bars back where the Divergence has been found, so you can check the validity.
Pine Script® göstergesi
PseT tarafından
Multiple Divergences - Candle Edition - Libertus█ OVERVIEW This script will help you track multiple indicator divergences in an easy, clean, and very visible way. Currently supported indicators at the time of script publishing are the Relative strength index (RSI) and On balance volume (OBV). If you have suggestions on which other popular indicators to add, leave them in the comments or message me directly. You can track divergences manually, but it's time-consuming, you can easily miss them and if you want to track it on more than one indicator it will consume a lot of your screen space. The script is using my time-tested divergences code, loved by a lot of TradingView users. If you want to use RSI divergences code in your scripts, you can find it in my Relative Strength Index - Divergences - Libertus indicator . This script continues to improve on my popular RSI Divergences - Candle Edition - Libertus . █ USAGE In short, divergences occur between price and indicator. When the price makes a new high or low, but the indicator doesn't make a new high or low. Please check Investopedia for a more detailed explanation of RSI and OBV divergences. BULL marks bullish divergence, which means the price made a new low, but the indicator value still hasn't made a new low. It can indicate a bullish trend change. BEAR marks bearish divergences, which means the price made a new high, but the indicator value still hasn't made a new high. It can indicate a bearish trend change. PIVOT is the highest or lowest price (candle) in the lookback period. ALERTS are available for all PIVOTS and divergences, including candles with multiple divergences. █ SETTINGS HIDE PIVOT - ON by default, hides pivots. SHORTER LABELS - OFF by default, removes text from BEAR / BULL labels. HIDE LABELS AND COLOR BACKGROUND - OFF by default, hides labels completely and colors chart background. LOOKBACK PERIODS - number of candles script will check in history for the pivot. Hopefully, this indicator will help you in your trading. Good luck!
Pine Script® göstergesi
Libertus tarafından
17
Reverse Cutlers Relative Strength Index On ChartIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) OC is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index ( RSI ) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index ( RSI ) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI , and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD . brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI . Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear control zone (20 - 38) • Bear critical zone (0 - 20) • Scale low (0) The RSI plots which graphically display output closing price levels where Cutlers RSI value will crossover: • RSI (eq) (previous RSI value) • RSI MA signal line • RSI Test price • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. ( RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline ( RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline ( RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges , double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT , was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Pine Script® göstergesi
The_Caretaker tarafından
8
Reverse Cutlers Relative Strength IndexIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index (RSI) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index (RSI) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI, and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD. brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI. Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series as described above has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear critical zone (20 - 38) • Bear control zone (0 - 20) • Scale low (0) The RSI plots are: • Cutlers RSI • RSI MA signal line • Test price RSI • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. (RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline (RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline (RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges, double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT, was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
Pine Script® göstergesi
The_Caretaker tarafından
5