Mulakan

Longshort

J - Trend Sniper v2(2024) A trend-following indicator that combines an ATR trailing stop with a smoothed price line to detect trend shifts and generate long/short signals. Calculates a slow ATR trailing stop (main trend boundary) and a fast ATR trailing stop, then plots a midpoint "Fast Line" between the two A smoothed signal line (a) tracks price using a volatility-weighted EMA — more reactive during high-volatility candles, smoother during low-volatility ones Long signal fires when the signal line crosses above the ATR trailing stop; Short when it crosses below
Penunjuk Pine Script®
oleh Jamallo22
AxMan Exhaustion Detection Reversal Rider1. The "Exhaustion" Phase (The Warning) The strategy first looks for a Yellow or Orange Diamond. This isn't a signal to buy yet; it’s a warning that the current trend is dying. The Logic: It looks for a massive spike in volume combined with an "over-extended" RSI. The Visual: Imagine a car slamming on its brakes at high speed. The tires smoke (Volume Spike), and the car skids (RSI Oversold). The Filter: This prevents you from entering a trade when the market is "boring" or slowly drifting. You only care about the moments of peak panic or peak euphoria. 2. The "Locked & Loaded" Window (The 12-Candle Rule) Once that "Exhaustion" diamond appears, the chart background changes color. The strategy is now hunting for a trade. The Logic: It gives the market exactly 12 candles to prove it can reverse. Why 12? If the market doesn't reverse within 12 candles, the "exhaustion" was just a pause, and the old trend is likely to continue. This rule keeps you out of "dead zones" where the price just goes sideways. 3. The "Trigger" (The Fast Entry) This is where the strategy beats traditional indicators. It doesn't wait for a fancy moving average crossover. The Logic: As soon as a candle closes above the high of the previous candle (for a Long) or below the low (for a Short), it enters. The Goal: It gets you in at the absolute "bend" of the trend. By the time most traders see a trend change, this strategy is already in profit. 4. The "Ride" (The Exit) This strategy is not about "scalping" small profits. It is designed to stay in the trade as long as the trend is healthy. The Exit Rule: It only closes the trade if: Opposite Exhaustion: It sees the same "panic" signal happening on the other side (The Target). Trend Break: The price closes on the wrong side of the 50 EMA (The Safety Net). The Result: This allows you to "Ride the Wave" during massive moon-shots or market crashes, often staying in a single trade for days on the 4H chart. Why It’s "Adaptive" Because it uses standard deviations for volume and previous candle breaks for entry, it behaves correctly whether you are looking at a 15-minute chart (fast day trading) or a Daily chart (long-term investing). It scales its "expectations" based on the timeframe you choose. Summary in one sentence: "We wait for the sellers to get exhausted, wait for the buyers to step in and break one high, and then we hold until the buyers get tired too."
Strategi Pine Script®
oleh Axj_Stev
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score Overview Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets. Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?” Core idea The indicator is built from two components: A Kalman-based smoothing engine that estimates price state and reduces noise adaptively. A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter. Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration. Why Kalman instead of standard smoothing Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates. This script exposes that behavior through two key controls: Measurement Noise: how noisy the observed price is assumed to be. Process Noise: how much the underlying state is allowed to evolve from bar to bar. Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone. Kalman filter mechanics (conceptual) Each update cycle follows the classic structure: Prediction: assume the state continues, and expand uncertainty by process noise. Update: compute Kalman Gain, then blend the new price observation into the estimate. Correction: reduce uncertainty based on how much the filter accepted the new information. When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive. Check out the original script: Kalman Hull construction The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes: Apply Kalman smoothing over multiple effective lengths. Combine them using the Hull-style weighting logic. Run the combined output through another Kalman pass to finalize smoothing. The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages. Another Kalman Hull with Supertrend Trend scoring logic The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script): If current kalmanHMA > kalmanHMA , add +1 If current kalmanHMA < kalmanHMA , add -1 This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative. Interpreting the score Read the score as trend conviction and persistence: High positive values: bullish persistence, the filtered trend is progressing consistently. Low positive values: trend exists but is fragile, progress is slowing. Near zero: indecision, range behavior, frequent challenges to structure. Negative values: bearish persistence or sustained deterioration in the filtered trend. The rate of change matters: Score expansion suggests trend is gaining traction. Score compression often signals consolidation or exhaustion. Fast flips usually accompany regime transitions. Signal thresholds and regime transitions User-defined thresholds convert the score into regimes: Long threshold: score must exceed this level to confirm bullish persistence. Short threshold: a crossunder of the score triggers bearish regime transition. This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise. Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests. Visual presentation The indicator provides multiple layers depending on how you want to use it: Kalman Hull Trend Score oscillator, color-coded by active regime. Optional Kalman Hull filter plotted on the price chart for structure context. Optional threshold reference lines for quick regime mapping. Optional candle coloring and background shading for instant readability. You can run it as a pure score panel or as a combined panel + on-chart trend overlay. How to use in practice Trend filtering Favor long setups when the score remains above the long threshold. Reduce directional aggression when score compresses toward zero. Treat a short-threshold breakdown as a regime risk event, not just a signal. Trend quality assessment Rising score supports continuation trades and adds confidence to breakouts. Flat or falling score warns that trend persistence is fading. If price trends but score fails to expand, trend may be weak or liquidity-driven. Trade management Use the Kalman Hull line as dynamic structure reference on chart. Use score deterioration to scale out before a full regime flip. Use regime flips as confirmation for bias shifts rather than prediction. Tuning guidelines Measurement Noise Higher: smoother filter, fewer false shifts, slower to adapt. Lower: more responsive, more sensitive to microstructure noise. Process Noise Higher: adapts quicker to sudden changes, but can become twitchy. Lower: steadier state estimate, but slower during sharp regime transitions. A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes. Summary Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Penunjuk Pine Script®
oleh BackQuant
1
Volatility Trend Score [BackQuant]Volatility Trend Score Overview Volatility Trend Score is a trend-strength and regime-evaluation indicator built to measure directional persistence, not just direction. Most trend tools answer “up or down” using slope, crossovers, or a single condition. This indicator answers a more useful question for real trading: “How consistently is trend structure holding up once volatility is accounted for?” It does this by building a volatility-scaled trailing structure (ATR-based) and then scoring how that structure evolves over a configurable lookback range. The output is a continuous score that rises when trend is persistent and decays when price action becomes noisy, mean-reverting, or unstable. What it is measuring (the real goal) This indicator is not trying to predict reversals. It is trying to quantify whether the market is behaving like a trend market or a chop market. It focuses on: Persistence: does structure keep pushing in one direction bar after bar? Stability: are pullbacks being absorbed without breaking the trailing structure? Regime: is the market trending strongly enough to justify directional bias? If you already have entries from other systems, this becomes a high-quality trend filter and trade management layer. Core idea At its foundation, the indicator combines two parts: A volatility-adjusted trailing level derived from ATR and a user-defined factor. A rolling persistence score that compares the current trail to prior trail values over a configurable loop window. The trailing structure adapts to volatility and enforces one-sided movement, while the scoring logic converts that behavior into a numeric measure of trend quality. Inputs and what they actually control Average True Range Period (calc_p) Defines the ATR window used to estimate volatility. A higher value smooths the volatility estimate and makes the trailing structure less reactive. Factor (atr_factor) Scales the ATR band size. Higher values widen the trailing band, filtering more noise, reducing flip frequency, and generally producing slower but more stable regimes. For Loop Start/End (start/end) Defines the comparison window used to build the score. It effectively sets how many historical trail values the current trail is compared against. Shorter ranges produce a faster, more responsive score. Longer ranges produce a slower, more “confidence-based” score that only climbs when trend persistence is sustained. Long/Short Thresholds (thresL/thresS) Convert a continuous score into regime thresholds. Long threshold is a “trend quality requirement” for bullish bias. Short threshold is used as a deterioration / breakdown trigger via crossunder logic. Volatility-adjusted trailing structure The trailing line is built from ATR bands around price: up = close + ATR * factor dn = close - ATR * factor Then a trailing value is maintained with one-sided ratcheting behavior: If dn rises above the previous trail, the trail steps up (ratchets upward). If up drops below the previous trail, the trail steps down (ratchets downward). This “ratchet” behavior is important. It prevents the trail from oscillating with small countertrend moves, forcing the trail to represent meaningful structure rather than micro-noise. On-chart, this trail often behaves like dynamic support/resistance in trends. Why the trail is a better base than raw price Price itself is noisy, and volatility changes the meaning of “big move” vs “small move.” By anchoring structure to ATR: A move is interpreted relative to current volatility, not in absolute points. High-volatility chop is less likely to be misread as a trend. Trend structure is normalized across assets and timeframes more reliably. This is why the score remains usable even when switching from low-vol assets to high-vol crypto pairs. Trend scoring logic The score is built by repeatedly comparing the current trailing value to trailing values from prior bars across a loop window: If current trail > trail , add +1 If current trail < trail , add -1 This is a persistence test, not a momentum calculation. In a strong trend, the trail should generally keep stepping in the trend direction, so current values will be greater than many past values (bullish) or lower than many past values (bearish). In chop, the trail fails to progress meaningfully, so the score compresses, oscillates, or bleeds out. How to interpret the score Think of the score as a “trend conviction meter”: High positive values: bullish persistence, structure is advancing consistently. Low positive values: bullish bias may exist, but trend quality is weak or unstable. Near zero: indecision, range behavior, or frequent structure challenges. Negative values: bearish dominance or sustained deterioration in structure. The speed of score change matters too: Fast expansion suggests a fresh regime gaining traction. Slow grind suggests mature trend continuation. Rapid compression often signals consolidation, exhaustion, or a transition phase. Signals and regime transitions This script uses two different styles of conditions (important detail): Long condition: score > long threshold (state-based, persistent while true). Short condition: crossunder(score, short threshold) (event-based trigger). That means: Long bias can remain active as long as score stays above the long threshold. Short regime flips are triggered at the moment the score breaks down through the short threshold. On the chart, long/short shapes are only plotted when the regime flips (first bar of the change), not on every bar, using: Long shape when signal becomes 1 and previous signal was -1 Short shape when signal becomes -1 and previous signal was 1 This keeps signals clean and avoids spam, making it usable for alerts and regime tagging. Visual presentation The indicator is designed to work both as a panel oscillator and as an on-chart overlay: Score plot (oscillator): color reflects active regime state. Optional trail on price: volatility-scaled structure line on chart. Optional threshold reference lines: clear regime boundaries. Optional candle coloring: makes regime obvious without reading the panel. Optional background shading: useful for quick scanning and backtesting visually. You can use only the score, only the trail, or both together depending on your workflow. Practical use cases 1) Trend filter for systems Use the score as a regime gate: Allow long entries only when score is above the long threshold. Avoid longs when score compresses toward zero or loses the threshold. Treat the short threshold break as “trend is no longer healthy.” This often improves system expectancy by reducing exposure during low-conviction conditions. 2) Trend quality grading Instead of treating all uptrends as equal: Higher score = higher persistence, better continuation odds. Score plateau = trend losing pressure, continuation becomes less reliable. Score decay while price rises = trend is getting weaker under the hood. This is useful for position sizing or deciding whether to add to winners. 3) Trade management and exits Two complementary tools exist here: Trail line can act as a dynamic stop reference or structure invalidation level. Score behavior can be used to scale out when persistence fades (before a full flip). Many traders use the trail for “hard structure” and the score for “soft deterioration.” 4) Breakout confirmation vs fakeouts A breakout that immediately fails to build score is often low quality. Healthy breakouts usually come with score expansion as structure advances. Fakeouts often revert quickly, score fails to climb, and regime stays unstable. Tuning guidelines These are general behaviors you can expect when adjusting settings: Higher ATR period and factor: slower regimes, fewer flips, cleaner structure. Lower ATR period and factor: faster reaction, more sensitivity, more noise risk. Longer loop range: score becomes more “confidence-based,” slower to change. Shorter loop range: score becomes more “tactical,” faster but more jittery. A good way to tune is to pick the trail behavior first (ATR period and factor), then tune the score window (loop) to match how quickly you want “trend conviction” to build. Market behavior focus Volatility Trend Score is most valuable in markets where volatility shifts frequently and fake trends are common, especially crypto. It is designed to: Stay out of low-quality chop where most indicators whipsaw. Quantify when volatility is being expressed directionally (constructive trend). Provide a clean regime framework for filtering, alignment, and management. Summary Volatility Trend Score converts volatility-adjusted structure into a quantified measure of trend persistence. By combining an ATR-based trailing mechanism with a rolling comparison score, it provides a more reliable read on trend quality than single-condition indicators. It is best used as a regime filter, a trend strength gauge, and a trade management layer, helping you stay aligned with strong directional phases while avoiding low-conviction envir
Penunjuk Pine Script®
oleh BackQuant
13
Zero-Lag ATR Trend [BackQuant]Zero-Lag ATR Trend Overview Zero-Lag ATR Trend is a volatility-adaptive trend-following overlay designed to identify directional market regimes with minimal delay while preserving structural clarity. The indicator combines a zero-lag moving average framework with a zero-lag volatility model to produce a trailing trend line that reacts quickly to meaningful price changes without becoming unstable or overly sensitive. Unlike conventional ATR-based trend tools that rely on lagging averages and delayed volatility estimates, this indicator applies zero-lag logic to both the trend centerline and the volatility calculation. The result is a trend structure that aligns more closely with real-time price action while still maintaining the discipline required for trend continuation trading. Core design philosophy The core idea behind Zero-Lag ATR Trend is simple: Reduce signal delay without sacrificing trend integrity. Adapt dynamically to changing volatility regimes. Provide a single, clean structure that defines trend direction, continuation, and invalidation. Instead of stacking multiple indicators, the script builds a complete trend framework from two tightly integrated components: a zero-lag trend spine and a zero-lag ATR trailing mechanism. Zero-lag trend spine The trend spine is constructed using a zero-lag moving average (ZLMA). This is achieved by applying a corrective step to a traditional moving average, effectively compensating for smoothing delay. Conceptually, the process works as follows: A base moving average is calculated from the selected price source. That moving average is then passed through a zero-lag correction. The correction pulls the line closer to current price without introducing noise. This produces a trend line that reacts faster than standard EMA, SMA, or HMA signals, particularly during early trend acceleration phases. Multiple moving-average types can be used inside the zero-lag framework, allowing traders to fine-tune responsiveness based on asset behavior and timeframe. Zero-lag volatility model Volatility is measured using True Range, but instead of applying classic ATR smoothing, the indicator uses a zero-lag smoothing pass on the True Range itself. This approach offers several advantages: Volatility expands more quickly during impulse moves. Volatility contracts faster during consolidations. Band width adjusts in near real-time to changing conditions. The smoothed zero-lag ATR is multiplied by a user-defined factor to create adaptive upper and lower boundaries around the trend spine. These boundaries define how much counter-movement price is allowed before the trend structure is invalidated. Volatility-aware trailing structure The trailing output is the defining feature of the indicator. It behaves as a one-directional trailing structure: In bullish conditions, the trailing line can only move upward. In bearish conditions, the trailing line can only move downward. Minor pullbacks inside the volatility envelope do not flip the trend. This logic prevents the indicator from reacting to shallow retracements and focuses instead on structural trend changes. Because the trailing behavior is volatility-scaled, the indicator remains stable during high volatility while still responding promptly during regime shifts. Trend flips and regime transitions Trend direction is determined by changes in the trailing structure itself rather than raw price crosses. A trend flip occurs only when price movement is strong enough, relative to current volatility, to force the trailing line to reverse direction. This means: Bullish flips represent genuine transitions into upward regimes. Bearish flips represent genuine transitions into downward regimes. Sideways noise is largely filtered out. As a result, the indicator is well suited for identifying medium-to-long trend phases rather than short-term oscillations. Visual structure and chart clarity The visual design is intentionally minimal and functional: The main trailing line is color-coded by trend direction. An optional ribbon or cloud reinforces directional bias. Optional candle coloring aligns price bars with the active trend. These elements allow traders to assess trend state instantly without interpreting multiple signals or overlays. How to use for trend following Trend bias Maintain a bullish bias while price holds above the trailing line. Maintain a bearish bias while price holds below the trailing line. Entries Trend flips can be used as initial directional entries. Pullbacks toward the trailing line often act as continuation opportunities. Momentum confirmation can be layered on top for additional confluence. Trend management The trailing line naturally functions as a dynamic stop reference. As long as price respects the trailing structure, the trend remains valid. A flip in direction signals a full regime transition rather than a minor correction. Why zero-lag matters for trend trading Traditional trend indicators often react late, especially during fast expansions, resulting in delayed entries and early exits. By reducing lag in both the trend calculation and the volatility model, Zero-Lag ATR Trend aims to capture a larger portion of directional moves while maintaining consistency and discipline. This makes it particularly effective for momentum-based trend following, breakout continuation strategies, and traders who prioritize staying aligned with dominant market structure rather than predicting reversals. Summary Zero-Lag ATR Trend is a complete trend-following framework built around responsiveness, adaptability, and clarity. Its zero-lag architecture allows it to respond earlier to meaningful price changes, while its volatility-aware trailing logic ensures that trends are only invalidated when structure truly breaks. The result is a clean, intuitive tool that supports disciplined trend participation across assets and timeframes.
Penunjuk Pine Script®
oleh BackQuant
5
Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion. Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics. This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs. ⚡️ How to Use 1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H. 2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming. 3. Monitor for breakout signals: • LONG (green triangle below bar): Price broke above the range. Consider entering a long position. • SHORT (red triangle above bar): Price broke below the range. Consider entering a short position. 4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts. 5. Adjust parameters as needed for different instruments or timeframes. Tip: Combine with volume analysis or trend filters for higher-probability setups. ⚡️ How It Works 1. Low Volatility Bar Detection A bar is classified as "low volatility" when it meets the following criteria: • True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold. • (Optional) Candle Body is at or below the average body size multiplied by a separate threshold. This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment. 2. Range Box Formation When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box: • The box expands to encompass the high and low of qualifying bars. • A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active). • A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range. • If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated. 3. Breakout Detection Once a qualified range is established, the indicator monitors for breakouts: • Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range. • Close Mode: Requires only a close beyond the range boundary. • (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation. • (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle. Signals are displayed in real-time and confirmed upon bar close. ⚡️ Inputs & Parameters • Volatility Window: Lookback period for calculating average TR and average body size. • TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol. • Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled). • Use Body Filter: Toggle the body size filter on/off. • Min Bars in Box: Minimum number of bars required for a range to become qualified. • Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol. • Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria. • Max Box Height: Maximum allowed range height as a multiple of the base ATR. • Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only). • Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF). • Require Candle Direction: Enforce green candle for LONG, red candle for SHORT. ⚡️ Visual Features • Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts. • Breakout Signals: • LONG: Green upward triangle displayed below the price bar with "LONG" label. • SHORT: Red downward triangle displayed above the price bar with "SHORT" label. • Range Levels: Optional horizontal plots for the active range's high and low. • Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart. • Full Customization: Colors, transparency, and border width are all adjustable. ⚡️ Alerts Two alert conditions are available: • LVRB LONG: Triggered on a confirmed bullish breakout (bar close). • LVRB SHORT: Triggered on a confirmed bearish breakout (bar close). ⚡️ Use Cases • Breakout Trading: Enter positions when price escapes a well-defined low-volatility range. • Volatility Expansion Plays: Anticipate increased volatility following periods of compression. • Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts. • Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones. ⚡️ Notes • Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation. • Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended. ⚡️ Credits Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies. ⚡️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes.
Penunjuk Pine Script®
oleh lakshmivibha
23
Aggregated Long Short Ratio (Binance + Bybit)This indicator displays the Long/Short Ratio (LSR) from Binance and Bybit exchanges, plus an aggregated average. LSR shows the ratio between traders holding long positions vs short positions. Settings AvailableExchanges Group: ☑️Show Binance - Display Binance LSR line ☑️ Show Bybit - Display Bybit LSR line ☑️ Show Aggregated LSR - Display combined average Timeframe - Choose data timeframe (leave empty for chart timeframe) Visualization Group: 🎨 Binance Color - Default: Yellow 🎨 Bybit Color - Default: Orange 🎨 Aggregated Color - Default: White 📖 How to Read the Indicator ⚠️ CRITICAL: Always analyze LSR together with Open Interest (OI) Key Levels: LSR = 1.0 (gray dashed line) = Balance - Equal longs and shorts LSR > 1.0 = More longs than shorts (bullish sentiment) LSR < 1.0 = More shorts than longs (bearish sentiment) Extreme Zones: LSR > 1.5 (green zone) = Very bullish - Possible market top LSR < 0.5 (red zone) = Very bearish - Possible market bottom Why Open Interest Matters: LSR alone doesn't tell the full story. You MUST check Open Interest: Rising OI + High LSR (>1.5) = New longs opening → Strong momentum OR potential trap Rising OI + Low LSR (<0.5) = New shorts opening → Strong momentum OR potential trap Falling OI + Extreme LSR = Positions closing → Weak signal, avoid trading Stable OI + Extreme LSR = No new positions → Less reliable signal 💡 Trading Interpretation ⚠️ ALWAYS combine LSR with Open Interest analysis! Contrarian Strategy (High Leverage Zones): High LSR (>1.5) + Rising OI → Many new longs → Potential short squeeze OR reversal down Low LSR (<0.5) + Rising OI → Many new shorts → Potential long squeeze OR reversal up Trend Confirmation: Rising LSR + Rising price + Rising OI = Strong bullish trend with new positions Falling LSR + Falling price + Rising OI = Strong bearish trend with new positions Weak Signals (Avoid): Extreme LSR + Falling OI = Positions closing → Low conviction Extreme LSR + Stable OI = No new money → Wait for confirmation Divergences: Price higher highs but LSR falling + Rising OI = Bearish divergence (shorts accumulating) Price lower lows but LSR rising + Rising OI = Bullish divergence (longs accumulating) Best Setups: Reversal: Extreme LSR (>1.5 or <0.5) + Rising OI + Price rejection Trend: LSR trending with price + Steadily rising OI Caution: Extreme LSR + Falling OI = Ignore signal Built-in Alerts The indicator includes 4 preset alerts: LSR Crossed Above 1.0 - Market turned bullish LSR Crossed Below 1.0 - Market turned bearish LSR Very High - Above 1.5 (possible top) LSR Very Low - Below 0.5 (possible bottom) To Set Up Alerts: Click the "..." on the indicator Select "Add Alert" Choose the condition you want Configure notification method Best Practices MANDATORY: Always add Open Interest indicator to your chart alongside LSR To add OI: Click Indicators → Search "Open Interest" → Add official TradingView OI Use on perpetual futures charts (symbols ending in .P) Works best on USDT pairs (BTCUSDT, ETHUSDT, etc.) Combine LSR + OI + price action + support/resistance levels Higher timeframes (4h, 1D) give more reliable signals Don't trade LSR extremes without confirming OI direction Golden Rule: Rising OI = Strong signal | Falling OI = Weak signal ⚠️ Important Notes Indicator requires TradingView Premium or above (uses Request library) Only works on crypto perpetual futures Data availability depends on exchange API NA values mean data is not available for that exchange/symbol Never use LSR without Open Interest context
Penunjuk Pine Script®
oleh carlosbucci
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals. Strategy: Entries (Buy/Short): Entry signals are based on the RSI. A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal. A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal. Exits (Position Closure): Exit signals are based on Bollinger Bands. A long position is closed when the price crosses below the upper Bollinger Band. A short position is closed when the price crosses above the lower Bollinger Band. Key Features: Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality. Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks. Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
Penunjuk Pine Script®
oleh gpsrosario
5
Fuzzy SMA with DCTI Confirmation[FibonacciFlux]FibonacciFlux: Advanced Fuzzy Logic System with Donchian Trend Confirmation Institutional-grade trend analysis combining adaptive Fuzzy Logic with Donchian Channel Trend Intensity for superior signal quality Conceptual Framework & Research Foundation FibonacciFlux represents a significant advancement in quantitative technical analysis, merging two powerful analytical methodologies: normalized fuzzy logic systems and Donchian Channel Trend Intensity (DCTI). This sophisticated indicator addresses a fundamental challenge in market analysis – the inherent imprecision of trend identification in dynamic, multi-dimensional market environments. While traditional indicators often produce simplistic binary signals, markets exist in states of continuous, graduated transition. FibonacciFlux embraces this complexity through its implementation of fuzzy set theory, enhanced by DCTI's structural trend confirmation capabilities. The result is an indicator that provides nuanced, probabilistic trend assessment with institutional-grade signal quality. Core Technological Components 1. Advanced Fuzzy Logic System with Percentile Normalization At the foundation of FibonacciFlux lies a comprehensive fuzzy logic system that transforms conventional technical metrics into degrees of membership in linguistic variables: // Fuzzy triangular membership function with robust error handling fuzzy_triangle(val, left, center, right) => if na(val) 0.0 float denominator1 = math.max(1e-10, center - left) float denominator2 = math.max(1e-10, right - center) math.max(0.0, math.min(left == center ? val <= center ? 1.0 : 0.0 : (val - left) / denominator1, center == right ? val >= center ? 1.0 : 0.0 : (right - val) / denominator2)) The system employs percentile-based normalization for SMA deviation – a critical innovation that enables self-calibration across different assets and market regimes: // Percentile-based normalization for adaptive calibration raw_diff = price_src - sma_val diff_abs_percentile = ta.percentile_linear_interpolation(math.abs(raw_diff), normLookback, percRank) + 1e-10 normalized_diff_raw = raw_diff / diff_abs_percentile normalized_diff = useClamping ? math.max(-clampValue, math.min(clampValue, normalized_diff_raw)) : normalized_diff_raw This normalization approach represents a significant advancement over fixed-threshold systems, allowing the indicator to automatically adapt to varying volatility environments and maintain consistent signal quality across diverse market conditions. 2. Donchian Channel Trend Intensity (DCTI) Integration FibonacciFlux significantly enhances fuzzy logic analysis through the integration of Donchian Channel Trend Intensity (DCTI) – a sophisticated measure of trend strength based on the relationship between short-term and long-term price extremes: // DCTI calculation for structural trend confirmation f_dcti(src, majorPer, minorPer, sigPer) => H = ta.highest(high, majorPer) // Major period high L = ta.lowest(low, majorPer) // Major period low h = ta.highest(high, minorPer) // Minor period high l = ta.lowest(low, minorPer) // Minor period low float pdiv = not na(L) ? l - L : 0 // Positive divergence (low vs major low) float ndiv = not na(H) ? H - h : 0 // Negative divergence (major high vs high) float divisor = pdiv + ndiv dctiValue = divisor == 0 ? 0 : 100 * ((pdiv - ndiv) / divisor) // Normalized to -100 to +100 range sigValue = ta.ema(dctiValue, sigPer) DCTI provides a complementary structural perspective on market trends by quantifying the relationship between short-term and long-term price extremes. This creates a multi-dimensional analysis framework that combines adaptive deviation measurement (fuzzy SMA) with channel-based trend intensity confirmation (DCTI). Multi-Dimensional Fuzzy Input Variables FibonacciFlux processes four distinct technical dimensions through its fuzzy system: Normalized SMA Deviation: Measures price displacement relative to historical volatility context Rate of Change (ROC): Captures price momentum over configurable timeframes Relative Strength Index (RSI): Evaluates cyclical overbought/oversold conditions Donchian Channel Trend Intensity (DCTI): Provides structural trend confirmation through channel analysis Each dimension is processed through comprehensive fuzzy sets that transform crisp numerical values into linguistic variables: // Normalized SMA Deviation - Self-calibrating to volatility regimes ndiff_LP := fuzzy_triangle(normalized_diff, norm_scale * 0.3, norm_scale * 0.7, norm_scale * 1.1) ndiff_SP := fuzzy_triangle(normalized_diff, norm_scale * 0.05, norm_scale * 0.25, norm_scale * 0.5) ndiff_NZ := fuzzy_triangle(normalized_diff, -norm_scale * 0.1, 0.0, norm_scale * 0.1) ndiff_SN := fuzzy_triangle(normalized_diff, -norm_scale * 0.5, -norm_scale * 0.25, -norm_scale * 0.05) ndiff_LN := fuzzy_triangle(normalized_diff, -norm_scale * 1.1, -norm_scale * 0.7, -norm_scale * 0.3) // DCTI - Structural trend measurement dcti_SP := fuzzy_triangle(dcti_val, 60.0, 85.0, 101.0) // Strong Positive Trend (> ~85) dcti_WP := fuzzy_triangle(dcti_val, 20.0, 45.0, 70.0) // Weak Positive Trend (~30-60) dcti_Z := fuzzy_triangle(dcti_val, -30.0, 0.0, 30.0) // Near Zero / Trendless (~+/- 20) dcti_WN := fuzzy_triangle(dcti_val, -70.0, -45.0, -20.0) // Weak Negative Trend (~-30 - -60) dcti_SN := fuzzy_triangle(dcti_val, -101.0, -85.0, -60.0) // Strong Negative Trend (< ~-85) Advanced Fuzzy Rule System with DCTI Confirmation The core intelligence of FibonacciFlux lies in its sophisticated fuzzy rule system – a structured knowledge representation that encodes expert understanding of market dynamics: // Base Trend Rules with DCTI Confirmation cond1 = math.min(ndiff_LP, roc_HP, rsi_M) strength_SB := math.max(strength_SB, cond1 * (dcti_SP > 0.5 ? 1.2 : dcti_Z > 0.1 ? 0.5 : 1.0)) // DCTI Override Rules - Structural trend confirmation with momentum alignment cond14 = math.min(ndiff_NZ, roc_HP, dcti_SP) strength_SB := math.max(strength_SB, cond14 * 0.5) The rule system implements 15 distinct fuzzy rules that evaluate various market conditions including: Established Trends: Strong deviations with confirming momentum and DCTI alignment Emerging Trends: Early deviation patterns with initial momentum and DCTI confirmation Weakening Trends: Divergent signals between deviation, momentum, and DCTI Reversal Conditions: Counter-trend signals with DCTI confirmation Neutral Consolidations: Minimal deviation with low momentum and neutral DCTI A key innovation is the weighted influence of DCTI on rule activation. When strong DCTI readings align with other indicators, rule strength is amplified (up to 1.2x). Conversely, when DCTI contradicts other indicators, rule impact is reduced (as low as 0.5x). This creates a dynamic, self-adjusting system that prioritizes high-conviction signals. Defuzzification & Signal Generation The final step transforms fuzzy outputs into a precise trend score through center-of-gravity defuzzification: // Defuzzification with precise floating-point handling denominator = strength_SB + strength_WB + strength_N + strength_WBe + strength_SBe if denominator > 1e-10 fuzzyTrendScore := (strength_SB * STRONG_BULL + strength_WB * WEAK_BULL + strength_N * NEUTRAL + strength_WBe * WEAK_BEAR + strength_SBe * STRONG_BEAR) / denominator The resulting FuzzyTrendScore ranges from -1.0 (Strong Bear) to +1.0 (Strong Bull), with critical threshold zones at ±0.3 (Weak trend) and ±0.7 (Strong trend). The histogram visualization employs intuitive color-coding for immediate trend assessment. Strategic Applications for Institutional Trading FibonacciFlux provides substantial advantages for sophisticated trading operations: Multi-Timeframe Signal Confirmation: Institutional-grade signal validation across multiple technical dimensions Trend Strength Quantification: Precise measurement of trend conviction with noise filtration Early Trend Identification: Detection of emerging trends before traditional indicators through fuzzy pattern recognition Adaptive Market Regime Analysis: Self-calibrating analysis across varying volatility environments Algorithmic Strategy Integration: Well-defined numerical output suitable for systematic trading frameworks Risk Management Enhancement: Superior signal fidelity for risk exposure optimization Customization Parameters FibonacciFlux offers extensive customization to align with specific trading mandates and market conditions: Fuzzy SMA Settings: Configure baseline trend identification parameters including SMA, ROC, and RSI lengths Normalization Settings: Fine-tune the self-calibration mechanism with adjustable lookback period, percentile rank, and optional clamping DCTI Parameters: Optimize trend structure confirmation with adjustable major/minor periods and signal smoothing Visualization Controls: Customize display transparency for optimal chart integration These parameters enable precise calibration for different asset classes, timeframes, and market regimes while maintaining the core analytical framework. Implementation Notes For optimal implementation, consider the following guidance: Higher timeframes (4H+) benefit from increased normalization lookback (800+) for stability Volatile assets may require adjusted clamping values (2.5-4.0) for optimal signal sensitivity DCTI parameters should be aligned with chart timeframe (higher timeframes require increased major/minor periods) The indicator performs exceptionally well as a trend filter for systematic trading strategies Acknowledgments FibonacciFlux builds upon the pioneering work of Donovan Wall in Donchian Channel Trend Intensity analysis. The normalization approach draws inspiration from percentile-based statistical techniques in quantitative finance. This indicator is shared for educational and analytical purposes under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Past performance does not guarantee future results. All trading involves risk. This indicator should be used as one component of a comprehensive analysis framework. Shout out @DonovanWall
Penunjuk Pine Script®
oleh FibonacciFlux
TSI Long/Short for BTC 2HThe TSI Long/Short for BTC 2H strategy is an advanced trend-following system designed specifically for trading Bitcoin (BTC) on a 2-hour timeframe. It leverages the True Strength Index (TSI) to identify momentum shifts and executes both long and short trades in response to dynamic market conditions. Unlike traditional moving average-based strategies, this script uses a double-smoothed momentum calculation, enhancing signal accuracy and reducing noise. It incorporates automated position sizing, customizable leverage, and real-time performance tracking, ensuring a structured and adaptable trading approach. 🔹 What Makes This Strategy Unique? Unlike simple crossover strategies or generic trend-following approaches, this system utilizes a customized True Strength Index (TSI) methodology that dynamically adjusts to market conditions. 🔸 True Strength Index (TSI) Filtering – The script refines the TSI by applying double exponential smoothing, filtering out weak signals and capturing high-confidence momentum shifts. 🔸 Adaptive Entry & Exit Logic – Instead of fixed thresholds, it compares the TSI value against a dynamically determined high/low range from the past 100 bars to confirm trade signals. 🔸 Leverage & Risk Optimization – Position sizing is dynamically adjusted based on account equity and leverage settings, ensuring controlled risk exposure. 🔸 Performance Monitoring System – A built-in performance tracking table allows traders to evaluate monthly and yearly results directly on the chart. 📊 Core Strategy Components 1️⃣ Momentum-Based Trade Execution The strategy generates long and short trade signals based on the following conditions: ✅ Long Entry Condition – A buy signal is triggered when the TSI crosses above its 100-bar highest value (previously set), confirming bullish momentum. ✅ Short Entry Condition – A sell signal is generated when the TSI crosses below its 100-bar lowest value (previously set), indicating bearish pressure. Each trade execution is fully automated, reducing emotional decision-making and improving trading discipline. 2️⃣ Position Sizing & Leverage Control Risk management is a key focus of this strategy: 🔹 Dynamic Position Sizing – The script calculates position size based on: Account Equity – Ensuring trade sizes adjust dynamically with capital fluctuations. Leverage Multiplier – Allows traders to customize risk exposure via an adjustable leverage setting. 🔹 No Fixed Stop-Loss – The strategy relies on reversals to exit trades, meaning each position is closed when the opposite signal appears. This design ensures maximum capital efficiency while adapting to market conditions in real time. 3️⃣ Performance Visualization & Tracking Understanding historical performance is crucial for refining strategies. The script includes: 📌 Real-Time Trade Markers – Buy and sell signals are visually displayed on the chart for easy reference. 📌 Performance Metrics Table – Tracks monthly and yearly returns in percentage form, helping traders assess profitability over time. 📌 Trade History Visualization – Completed trades are displayed with color-coded boxes (green for long trades, red for short trades), visually representing profit/loss dynamics. 📢 Why Use This Strategy? ✔ Advanced Momentum Detection – Uses a double-smoothed TSI for more accurate trend signals. ✔ Fully Automated Trading – Removes emotional bias and enforces discipline. ✔ Customizable Risk Management – Adjust leverage and position sizing to suit your risk profile. ✔ Comprehensive Performance Tracking – Integrated reporting system provides clear insights into past trades. This strategy is ideal for Bitcoin traders looking for a structured, high-probability system that adapts to both bullish and bearish trends on the 2-hour timeframe. 📌 How to Use: Simply add the script to your 2H BTC chart, configure your leverage settings, and let the system handle trade execution and tracking! 🚀
Strategi Pine Script®
oleh PineIndicators
US/JP Factor/Sector Performance RankingThis indicator is designed to help you easily understand the strengths and weaknesses of different factors and sectors in the U.S. stock market. It looks at various ETFs, ranks their performance over a specific period (20 days by default), and shows the results visually. = How the Ranking Works The best-performing rank is shown as -1, with lower ranks as -2, -3, -4, and so on. This setup makes it easy to see rank order in TradingView’s default view. If you turn on the “Inverse” setting, ranks will be shown as positive numbers in order (e.g., 1, 2, 3…). In this case, it’s recommended to reverse the TradingView scale for better understanding. = How the Indicator Reacts to Market Conditions - Normal Market Conditions Certain factors or sectors often stay at the top rank. For example, during the rallies at the start of 2024 and in May, the Momentum factor performed well, showing a risk-on market environment. On the other hand, sectors at the bottom rank also tend to stay in specific positions. - Market Tops Capital flows within sectors slow down, and top ranks begin to change frequently. This may suggest a market turning point. - Bear Markets or High Volatility Rankings become more chaotic in these conditions. These large changes can help you understand market sentiment and the level of volatility. = Way of using the Indicator You can use this indicator in the following ways: - To apply sector rotation strategies. - To build positions after volatile markets calm down. - To take long positions on strong elements (higher ranks) and short positions on weaker ones (lower ranks). = Things to Keep in Mind It’s a Lagging Indicator This indicator calculates rankings using the past 20 days of data. It doesn’t provide signals for the future but is a tool for analyzing past performance. To predict the market, you should combine this with other tools or leading indicators. However, since trends in capital flows often continue, this indicator can help you spot those trends. = Customization This indicator is set up for U.S. and Japanese stock markets. However, you can customize it for other markets by changing the ticker and label description in the script. ==Japanese Description== このインジケーターは、米国株市場におけるファクターやセクターの強弱を直感的に把握するために設計されています。 各ETFを参照し、特定期間（デフォルトでは20日間）のパフォーマンスを順位付けし、それを視覚的に表示します。 = インジケーターの特徴 - ランク付けの仕様 ランク1位は-1で表され、順位が下がるごとに-2、-3、-4…と減少します。この仕様により、TradingViewの標準状態でランクの高低を直感的に把握できるようにしました。 さらに、Inverse設定をONにすると、1位から順に正の値（例: 1, 2, 3…）で表示されるようになります。この場合、TradingViewのスケールを反転させることを推奨します。 = 市況とインジケーターの動き - 平常時の市況 特定のファクターやセクターがランク1位を維持することが多いです。 例えば、2024年の年初や同年5月の上昇相場では、Momentumファクターが効果を発揮し、リスクオンの市場環境であったことを示しています。 一方、最下位に位置するセクターも特定の順位を維持する傾向があります。 - 天井圏の市況 セクター内の資金流入や流出が停滞し、上位ランクの変動が起こり始めます。これが市場の転換点を示唆する場合があります。 - 下落相場や荒れた市況 ランク順位が大きく乱れることが特徴です。この変動の大きさは、市況の雰囲気やボラティリティの高さを感じ取る材料として活用できます。 = 活用方法 このインジケーターは以下のような投資戦略に役立てることができます： - セクターローテーションを活用した投資戦略 - 荒れた相場が落ち着いたタイミングでのポジション構築 - 強い要素（ランク上位）のロング、弱い要素（ランク下位）のショート = 注意点 - 遅行指標であること 本インジケーターは、過去20日間のデータを基にランクを算出します。そのため、先行的なシグナルを提供するものではなく、過去のパフォーマンスに基づいた分析ツールです。市場を先回りするには、別途先行指標や分析を組み合わせる必要があります。 ただし、特定のファクターやセクターへの資金流入・流出が継続する傾向があるため、これを見極める手助けにはなります。 = カスタマイズについて このインジケーターは米国・日本株市場に特化しています。ただし、他国のファクターやセクターのETFや指数が利用可能であれば、スクリプト内のtickerとlabel descriptionを変更することでカスタマイズが可能です。
Penunjuk Pine Script®
oleh AvocadoWasabi
MTF EHMA & HMA Insights [FibonacciFlux]MTF EHMA & HMA Insights Overview The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a powerful technical analysis tool designed for traders seeking to enhance their market insights and decision-making processes. By integrating two advanced moving averages—Exponential Hull Moving Average (EHMA) and Hull Moving Average (HMA)—along with a dynamic midline, this indicator provides a comprehensive view of market trends across multiple timeframes. Key Features 1. Dual Moving Averages - Exponential Hull Moving Average (EHMA) : - Offers a rapid response to price changes, making it particularly useful for identifying short-term trends. - Utilizes a unique calculation method that reduces lag, allowing traders to react quickly to market movements. - Hull Moving Average (HMA) : - Known for its smoothness and ability to filter out noise, the HMA presents a clear picture of the underlying trend. - The HMA is specifically designed to achieve a balance between responsiveness and smoothness, enabling traders to make informed decisions. 2. Midline Calculation - Dynamic Midline (m) : - The midline is calculated as the average of EHMA and HMA, providing a neutral reference point for evaluating price movements. - It visually represents market sentiment; a rising midline suggests bullish conditions, while a declining midline indicates bearish trends. 3. Visual Components - Fill Areas : - Color-coded fills between the EHMA and HMA enhance visual clarity by indicating the relative position of these moving averages. - The fill color dynamically changes based on the relationship between the two averages (green for EHMA below HMA and red for EHMA above HMA), allowing traders to quickly assess market conditions. 4. Signal Generation and Alerts - Buy/Sell Signals : - The indicator generates buy signals when the midline crosses above its previous value, indicating a potential upward trend. - Conversely, sell signals are triggered when the midline crosses below its previous value, suggesting a possible downward movement. - Alert Conditions : - Built-in alerts notify traders in real-time when significant changes occur, allowing them to act swiftly on potential trading opportunities. - Customizable alert messages ensure traders receive relevant information tailored to their strategies. Technical Details Input Parameters - Timeframe Settings : - Traders can customize the timeframes for both EHMA and HMA, enabling them to adapt the indicator to different trading styles and market conditions. - Length Settings : - Adjustable lengths for both moving averages impact their sensitivity, allowing traders to optimize their performance based on volatility and market dynamics. Plotting and Visualization - Plotting : - The script plots the EHMA, HMA, and midline directly on the chart for easy visualization. - Signal labels (BUY and SELL) are displayed prominently, helping traders to identify potential entry and exit points without ambiguity. Benefits 1. Clarity and Insight - The combination of EHMA, HMA, and midline provides a clear and concise visual representation of market trends, aiding traders in making informed decisions. 2. Flexibility - Customizable parameters allow traders to tailor the indicator to their specific needs, making it suitable for various market conditions and trading styles. 3. Efficiency - Real-time alerts and visual signals minimize response times, enabling traders to capitalize on opportunities as they arise. 4. Enhanced Trading Conditions - When utilizing the Fibonacci number 144 on a daily chart, the indicator facilitates optimal trading conditions: - "The entry was made before the bubble began, using 144 as the Fibonacci variable." - "The exit occurred right before the bubble burst, or alternatively, a short position was initiated." - "When the next bubble started, a long entry was made again." - "Despite some lag, the position was exited and a long entry was made." - "The exit or short entry took place at the second double top peak." - "A short position was already established before the double top formation occurred." - On a 4-hour chart, traders can effectively set stop losses at HMA levels, achieving a risk-reward ratio between 4 and 8. - Additionally, analyzing the 15-minute chart with a multi-timeframe approach allows for more precise entry points. Conclusion The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a robust tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with a dynamic midline and alert system, this indicator offers a comprehensive approach to understanding market trends. Its flexibility, clarity, and efficiency make it an invaluable asset for both novice and experienced traders alike. Important Note As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Penunjuk Pine Script®
oleh FibonacciFlux
2
Multi Fibonacci Supertrend with Signals【FIbonacciFlux】Multi Fibonacci Supertrend with Signals (MFSS) Overview The Multi Fibonacci Supertrend with Signals (MFSS) is an advanced technical analysis tool that combines multiple Supertrend indicators using Fibonacci ratios to identify trend directions and potential trading opportunities. Key Features 1. Fibonacci-Based Supertrend Levels * Factor 1 (Weak) : 0.618 - The golden ratio * Factor 2 (Medium) : 1.618 - The Fibonacci ratio * Factor 3 (Strong) : 2.618 - The extension ratio 2. Visual Components * Multi-layered Trend Lines * Different line weights for easy identification * Progressive transparency from Factor 1 to Factor 3 * Color-coded trend directions (Green for bullish, Red for bearish) * Dynamic Fill Areas * Gradient fills between price and trend lines * Visual representation of trend strength * Automatic color adjustment based on trend direction * Signal Indicators * Clear BUY/SELL labels on chart * Position-adaptive signal placement * High-visibility color scheme 3. Signal Generation Logic The system generates signals based on two key conditions: * Primary Condition : * BUY : Price crossunder Supertrend2 (Factor 1.618) * SELL : Price crossover Supertrend2 (Factor 1.618) * Confirmation Filter : * Signals only trigger when Supertrend3 confirms the trend direction * Reduces false signals in volatile markets Technical Details Input Parameters * ATR Period : 10 (default) * Customizable for different market conditions * Affects sensitivity of all Supertrend levels * Factor Settings : * All factors are customizable * Default values based on Fibonacci sequence * Minimum value: 0.01 * Step size: 0.01 Alert System * Built-in alert conditions * Customizable alert messages * Real-time notification support Use Cases * Trend Trading * Identify strong trend directions * Filter out weak signals * Confirm trend continuations * Risk Management * Multiple trend levels for stop-loss placement * Clear entry and exit signals * Trend strength visualization * Market Analysis * Multi-timeframe analysis capability * Trend strength assessment * Market structure identification Benefits * Reliability * Based on proven Supertrend algorithm * Enhanced with Fibonacci mathematics * Multiple confirmation levels * Clarity * Clear visual signals * Easy-to-interpret interface * Reduced noise in signal generation * Flexibility * Customizable parameters * Adaptable to different markets * Suitable for various trading styles Performance Considerations * Optimized code structure * Efficient calculation methods * Minimal resource usage Installation and Usage Setup * Add indicator to chart * Adjust parameters if needed * Enable alerts as required Best Practices * Use with other confirmation tools * Adjust factors based on market volatility * Consider timeframe appropriateness Backtesting Results and Strategy Performance This indicator is specifically designed for pullback trading with optimized risk-reward ratios in trend-following strategies. Below are the detailed backtesting results from our proprietary strategy implementation: BTCUSDT Performance (Binance) * Test Period: Approximately 7 years * Risk-Reward Ratio: 2:1 * Take Profit: 8% * Stop Loss: 4% Key Metrics (BTCUSDT): * Net Profit: +2,579% * Total Trades: 551 * Win Rate: 44.8% * Profit Factor: 1.278 * Maximum Drawdown: 42.86% ETHUSD Performance (Binance) * Risk-Reward Ratio: 4.33:1 * Take Profit: 13% * Stop Loss: 3% Key Metrics (ETHUSD): * Net Profit: +8,563% * Total Trades: 581 * Win Rate: 32% * Profit Factor: 1.32 * Maximum Drawdown: 55% Strategy Highlights: * Optimized for pullback trading in strong trends * Focus on high risk-reward ratios * Proven effectiveness in major cryptocurrency pairs * Consistent performance across different market conditions * Robust profit factor despite moderate win rates Note: These results are from our proprietary strategy implementation and should be used as reference only. Individual results may vary based on market conditions and implementation. Important Considerations: * The strategy demonstrates strong profitability despite lower win rates, emphasizing the importance of proper risk-reward ratios * Higher drawdowns are compensated by significant overall returns * The system shows adaptability across different cryptocurrencies with consistent profit factors * Results suggest optimal performance in volatile crypto markets Real Trading Examples BTCUSDT 4-Hour Chart Analysis Example of pullback strategy implementation on Bitcoin, showing clear trend definition and entry points ETHUSDT 4-Hour Chart Analysis Ethereum chart demonstrating effective signal generation during strong trends BTCUSDT Detailed Signal Example (15-Minute Scalping) Close-up view of signal generation and trend confirmation process on 15-minute timeframe, demonstrating the indicator's effectiveness for scalping operations Chart Analysis Notes: * Green and red zones clearly indicate trend direction * Multiple timeframe confirmation visible through different Supertrend levels * Clear entry signals during pullbacks in established trends * Precise stop-loss placement opportunities below support levels Implementation Guidelines: * Wait for main trend confirmation from Factor 3 (2.618) * Enter trades on pullbacks to Factor 2 (1.618) * Use Factor 1 (0.618) for fine-tuning entry points * Place stops below the relevant Supertrend level Footnotes: * Charts provided are from Binance exchange, using both 4-hour and 15-minute timeframes * Trading view screenshots captured during actual market conditions * Indicators shown: Multi Fibonacci Supertrend with all three factors * Time period: Recent market activity showing various market conditions Important Notice: These charts are for educational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management. Disclaimer This indicator is for informational purposes only. Past performance is not indicative of future results. Always conduct proper risk management and due diligence. License Open source under MIT License Author's Note Contributions and suggestions for improvement are welcome. Please feel free to fork and enhance.
Penunjuk Pine Script®
oleh FibonacciFlux
REMA CROSSOVER BY JUGNUThis indicator triggers alerts for long and short positions on DAILY TIME FRAME for SWING trades based on the conditions which described below. This script will generate alerts when the following conditions are met: LONG POSITION: RSI(14) above 50. EMA(5) crosses above EMA(10). Indicator Triangle Green below price bars SHORT POSITION: RSI(14) below 50. EMA(5) crosses down EMA(10). Indicator Triangle RED above price bars This script plots green and red triangles below and above the price bars to indicate long and short alert conditions, respectively. It also triggers alerts when these conditions are met.
Penunjuk Pine Script®
oleh whoismudasar
1
R19 STRATEGYHello again. Let me introduce you R19 Strategy I wrote for mostly BTC long/short signals This is an upgrated version of STRATEGY R18 F BTC strategy. I checked this strategy on different timeframes and different assest and found it very usefull for BTC 1 Hour and 5 minutes chart. Strategy is basically takes BTC/USDT as a main indicator, so you can apply this strategy to all cryptocurrencies as they mostly acts accordingly with BTC itself (Of course you can change main indicator to different assets if you think that there is a positive corelation with. i.e. for BTC signals you can sellect DXY index for main indicator to act for BTC long/short signals) Default variables of the inticator is calibrated to BTC/USDT 5 minute chart. I gained above %77 success. Strategy simply uses, ADX, MACD, SMA, Fibo, RSI combination and opens positions accordingly. Timeframe variable is very important that, strategy decides according the timeframe you've sellected but acts within the timeframe in the chart. For example, if you're on the 5 minutes chart, but you've selected 1 hour for the time frame variable, strategy looks for 1 hour MACD crossover for opening a position, but this happens in 5 minutes candle, It acts quickly and opens the position. Strategy also uses a trailing stop loss feature. You can determine max stoploss, at which point trailing starts and at which distance trailing follows. The green and red lines will show your stoploss levels according to the position strategy enters (green for long, red for short stop loss levels). When price exceeds to the certaing levels of success, stop loss goes with the profitable price (this means, when strategy opens a position, you can put your stop loss to the green/red line in actual trading) You can fine tune strategy to all assets. Please write down your comments if you get more successfull about different time zones and different assets. And please tell me your fine tuning levels of this strategy as well. See you all.
Strategi Pine Script®
oleh SenatorVonShaft
Abdul Rehman Trading StrategyBest Buy & Sell Indicator for Crypto, Forex and stocks. This indicator is based on Volume, RSI and current support and resistance. Best Time Frame: 5 Minutes, 15 minutes Long Positions: You will see numbers appearing in Green Colour starting from 7,8 and then you can see the LONG position signal. Short Position: You will see numbers appearing in Red Colour starting from 7,8 and then SHORT Position Signal. Important Note: If you see the bearish trend in 4 hours time frame then always follow SHORT positions and if you see the bullish trend in 4 Hour time frame then always LONG positions.
Penunjuk Pine Script®
oleh alrehmanansari
5
Double EMA WIth Pullback Buy Sell Signal - Smarter AlgoBuilt with love "Double EMA With Pullback Buy Sell Signal " This indiator will help you to find a Double EMA Pullback Signal You can combine with your own strategy, or use this purely DISCLAIMER : Measure the risk first before use it in real market Backtest The Strategy was very important, so you know the probability Fundamentally Logical : Pullback (Some Previous candle is Red for Bull Pullback vice versa) the Entry candle must be a Candlestick Pattern Features : 1. Double EMA 2. Pullback Signal How to use it : 1. Adjust the Pullback Backstep 2. Adjust the EMA Period 3. Adjust the Style to your preferences Regards, Hanabil
Penunjuk Pine Script®
oleh hanabil
4
STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies. As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC ) Strategy is built on combination of: - MACD - RSI - FIBONACCI levels - BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default)) I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself). You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable. Reverse option open reverse positions of the strategy
Strategi Pine Script®
oleh SenatorVonShaft
6
DCA Bot Long/Short Thanks to @TheTradingParrot for the inspiration and knowledge shared. Thanks to @ericlin0122 for the original DCA Bot Emulator which is the backbone of this strategy. The script simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters to find your trading setup. Beware how large your total leveraged position is and how far can market go before you get liquidated! Do that with the help of futures liquidation calculators you can find online! I`ve added: 1) an internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage. 2) I`ve built a graphic interface, so levels are clearly visible and back-test analyzing made easier. 3) now both Long & Short direction of the strategy exist. 4) trailing TP which was featured in the initial script has been removed because TV`s execution model makes it impossible to know how the real world trailing would have unfolded. 5) the table is self explanatory, and it is there to help you discover what happened and where. 6) vertical colored lines appear when the new maximum deviation from the original price has been reached All the trading happens with total account capital, and all order sizes inputs are expressed in percent. Known issues: When deviation is small, and the same candle triggers safety AND the close order, the initial orders are closed, but a new one opens on the next candle. This is "resolved" by closing the unwanted trade forcefully on the next candle, affecting profit calculating minimally and guaranteeing that what should be closed has been closed. The code could be improved through use of arrays, making the table flexible so the number of rows should be dynamic depending on the number of SOs. !!!!! IMPORTANT!!!!! This strategy script is made to receive a signal from an exterior study script, which should plot +100 for long or -100 for short entry (that is by default - values can be changed in the strategy settings menu). That plot should be found in "Enter Trigger" input dropdown menu at the bottom of strategy settings menu. Removing the "and trigger == long/short_trigger" condition from strategy entry conditions makes the strategy open trades ASAP. Cheers!
Strategi Pine Script®
oleh fiddlah
59
GMS: Moving Average Crossover StrategyThis is a moving average crossover system built the way I would want it to be. - The moving averages included are SMA, EMA, WMA, VWMA. - You can select either for the first moving average or the second moving average. - You can also select to see the Long trades, Short trades, or both at the same time. - There is also a simple moving average trend filter. When this is selected, it only applies to the entries of a trade and not the exit. There are situations where the entry is above the trend filter and the exit is below. The source code should be open so feel free to adapt it, make it more efficient, or take some part for your own project! I hope it helps, Andre
Strategi Pine Script®
oleh GlobalMarketSignals
3
GMS: RSI & ROC StrategyThis is a basic strategy like the RSI one I posted. This one adds in the Rate of Change indicator as well. You can separate the two for RSI only and ROC only. Everything else is the same as the RSI strategy. - Simple moving average trend filter. - Simple moving average trade exit. - Both long and short or each on it's own. The source code should be open if you want to see it or modify it for your own project. I hope it helps! Andre Global Market Signals
Strategi Pine Script®
oleh GlobalMarketSignals
Chiki-Poki BFXLS Longs Shorts Abs Normalized Volume Pro by RRBChiki-Poki BFXLS Longs vs Shorts Absolute Normalized Volume Value Pro by RagingRocketBull 2018 Version 1.0 This indicator displays Longs vs Shorts in a side by side graph, shows volume's absolute price value and normalized volume of Longs/Shorts for the current asset. This allows for more accurate L/S comparisons (like a log scale for volume) since volume on spot exchanges (Bitstamp, Bitfinex, Coinbase etc) is measured in coins traded, not USD traded. Similarly, L/S is usually the amount of coins in open L/S positions, not their total USD value. On Bitmex and other futures exchanges volume is measured in USD traded, so you don't need to apply the Volume Absolute Price Value checkbox to compare L/S. You should always check first whether your source is measured in coins or USD. Chiki-Poki BFXLS primarily uses *SHORTS/LONGS feeds from Bitfinex for the current crypto asset, but you can specify custom L/S source tickers instead. This 2-in-1 works both in the Main Chart and in the indicator pane below. You can switch between Main/Sub Window panes using RMB on the indicator's name and selecting Move To/Pane Above/Below. This indicator doesn't use volume of the current asset. It uses L/S ticker's OHLC as a source for SHORTS/LONGS volumes instead. Essentially L/S => L/S Volume == L/S Features: - Display Longs vs Shorts side by side graph for the current crypto asset, i.e. for BTCUSD - BTCUSDLONGS/BTCUSDSHORTS, for ETHUSD - ETHUSDLONGS/ETHUSDSHORTS etc. - Use custom OHLC ticker sources for Longs/Shorts from different exchanges/crypto assets with/without exchange prefix. - Plot Longs/Shorts as lines or candles - Show/Hide L/S, Diff, MAs, ATH/ATL - Use Longs/Shorts Volume Absolute Price Value (Price * L/S Volume) instead of Coins Traded in open L/S positions to compare total L/S value/capitalization - Normalize L/S Volume using Price / Price MA / L/S Volume MA - Supports any existing type of MA: SMA, EMA, WMA, HMA etc - Volume Absolute Price Value / Normalize also works on candles - Oscillator mode with negative axis (works in both Main Chart/Subwindow panes). - Highlight L/S Volume spikes above L/S MAs in both lines/oscillator. - Change L/S MA color based on a number of last rising/falling L/S bars, colorize candles - Display L/S volume as 1000s, mlns, or blns using alpha multiplier 1. based on BFXLS Longs vs Shorts and Compare Style, uses plot*, security and custom hma functions 2. swma has a fixed length = 4, alma and linreg have additional offset and smoothing params Notes: - Make sure that Left Price Scale shows up with Auto Fit Data enabled. You can reattach indicator to a different scale in Style. - It is not recommended to switch modes multiple times due to TradingView's scale reattachment bugs. You should switch between Main Chart and Sub Window only once. - When the USD price of an asset is lower you can trade more coins but capitalization value won't be as significant as when there are less coins for a higher price. Same goes for Shorts/Longs. Current ATH in shorts doesn't trigger a squeeze because its total value is now far less than before and we are in a bear market where it's normal to have a higher number of shorts. - You should always subtract Hedged L/S from L/S because hedged positions are temporary - used to preserve the value of the main position in the opposite direction and should be disregarded as such. - Low margin rates increase the probability of a move in an underlying direction because it is cheaper. High margin rates => the market is anticipating a move in this direction, thus a more expensive rate. Sudden 5-10x rate raises imply a possible reversal soon. high - 0.1%, avg - 0.01-0.02%, low - 0.001-0.005% You can also check out: - BFXLS Longs/Shorts on BFXData - Bitfinex L/S margin rates and Hedged L/S on datamish - Bitmex L/S on Coinfarm.online
Penunjuk Pine Script®
oleh RagingRocketBull
3