Adaptive Trend Navigator [ATH Filter & Risk Engine]Description:
This strategy implements a systematic Trend Following approach designed to capture major moves while actively protecting capital during severe bear markets. It combines a classic Moving Average "Fan" logic with two advanced risk management layers: a 4-Stage Dynamic Stop Loss and a macro-economic "Circuit Breaker" filter.
Core Concepts:
1. Trend Identification (Entry Logic) The script uses a cascade of Simple Moving Averages (SMA 25, 50, 100, 200) to identify the maturity of a trend.
Entries are triggered by specific crossovers (e.g., SMA 25 crossing SMA 50) or by breaking above the previous trade's high ("High-Water Mark" Re-Entry).
2. The "Circuit Breaker" (Crash Protection) To prevent trading during historical market collapses (like 2000 or 2008), the strategy monitors the Nasdaq 100 (QQQ) as a global benchmark:
Normal Regime: If the market is within 20% of its All-Time High, the strategy operates normally.
Crisis Regime: If the QQQ falls more than 20% from its ATH, the "Circuit Breaker" activates (Visualized by a Red Background).
Recovery Rule: In a Crisis Regime, new long positions are blocked unless the QQQ reclaims its SMA 200. This filters out "bull traps" in secular bear markets.
3. 4-Stage Risk Engine (Exit Logic) Once in a trade, the risk management adapts to the position's performance:
Stage 1: Fixed initial Stop Loss (default 10%) for breathing room.
Stage 2: Moves to Break-Even area once the price rises 12%.
Stage 3: Tightens to a trailing stop (8%) after 25% profit.
Stage 4: Maximizes gains with a tight trailing stop (5%) during parabolic moves (>40% profit).
Visual Guide:
SMAs: 25/50/100/200 period lines for trend visualization.
Red Background: Indicates the "Crisis Regime" where trading is halted due to broad market weakness.
Blue Background: Indicates a "Recovery Phase" (Crisis is active, but market is above SMA 200).
Red Line: Shows the dynamic Stop Loss level for active positions.
Settings: All parameters (SMA lengths, Drawdown threshold, Risk Stages) are fully customizable. The QQQ benchmark ticker can also be changed to SPY or other indices depending on the asset class traded.
Moving Averages
Alper-EMAAlper-EMA
Description:
This indicator allows you to display 5 customizable EMAs (Exponential Moving Averages) on a single chart. Each EMA can be configured independently with length, color, visibility, and calculation timeframe.
Features:
5 fully customizable EMAs
Set individual length and color for each EMA
Toggle visibility for each EMA
Multi-timeframe calculation: e.g., display EMA300 calculated on a 30-minute timeframe while viewing a 1-minute chart
Labels display EMA period and timeframe for clarity
Adjustable label size: tiny / small / normal / large
Clear and readable plot lines
Use Cases:
Monitor multiple timeframe EMAs simultaneously
Analyze trend and support/resistance levels
Track EMA crossovers for strategy development
Note:
This indicator is suitable for both short-term (scalping) and medium-to-long term analysis. The multi-timeframe feature allows you to see different EMA perspectives on a single chart quickly.
MRhythm - Fib/Elliott/Candle/Flow Day Strategy (Aiden Ryu)creates buy signals with TP's on all asset classes. tested for es1 and XAU. ENJOY!!!
Gold Fair Value [Alpha Extract]Gold-anchored Bitcoin fair value model is a macro-fundamental valuation indicator that anchors Bitcoin price assessment to gold market dynamics, establishing fair value zones through percentage change influence modelling and adaptive band multipliers. This overlay system provides institutional-grade context for identifying accumulation zones, distribution zones, and fair value equilibrium across all market cycles with minimal chart clutter through sophisticated gradient fill visualization.
🔶 Gold-Anchored Valuation Framework
Establishes Bitcoin's theoretical fair value by integrating daily gold price movements into a smoothed asset baseline, applying percentage change calculations over configurable periods to measure gold's momentum influence. The system translates gold's relative strength or weakness into Bitcoin price expectations through adjustable influence multipliers, creating a dynamic fair value line that adapts to shifting macro-fundamental relationships between digital and traditional store-of-value assets.
🔶 Multi-Layer Statistical Band System
Implements asymmetric upper and lower band multipliers applied to the fair value baseline, creating five distinct valuation zones: extreme overvaluation, moderate overvaluation, fair value equilibrium, moderate undervaluation, and extreme undervaluation. The asymmetric configuration (default 1.46x upper, 0.74x lower) reflects Bitcoin's historical tendency toward asymmetric volatility patterns with more violent upside moves and grinding downside action, optimizing zone accuracy for actionable trading decisions.
🔶 Gradient Fill Visualization
Employs sophisticated transparency-based gradient fills between bands to create visually intuitive valuation heat maps, with darker orange shading indicating proximity to fair value and lighter shading showing extreme deviation zones. The system maintains chart readability by hiding individual band lines while preserving the filled zones, eliminating visual clutter while delivering maximum information density for rapid market assessment without overwhelming the trader with excessive line plots.
🔶 Historical Context & Position Management
The lower band zones have historically preceded periods of constructive price behavior including consolidation phases and early-stage recovery rallies, while upper band interactions have preceded distribution and correction events. This historical pattern recognition enables traders to position proactively based on valuation extremes rather than reactively chasing momentum, supporting systematic accumulation during undervaluation periods and graduated profit-taking during overvaluation extremes.
All analysis provided by Alpha Extract is for educational and informational purposes only. The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations.
Dynamic SMA Trend System [Multi-Stage Risk Engine]Description:
This script implements a robust Trend Following strategy based on a multiple Simple Moving Average (SMA) crossover logic (25, 50, 100, 200). What sets this strategy apart is its advanced "4-Stage Risk Engine" and a smart "High-Water Mark" Re-Entry system, designed to protect profits during parabolic moves while filtering out chop during sideways markets.
How it works:
The strategy operates on three core pillars: Trend Identification, Dynamic Risk Management, and Momentum Re-Entry.
1. Entry Logic (Trend Identification) The script looks for crossovers at different trend stages to capture early reversals as well as established trends:
Short-Term: SMA 25 crosses over SMA 50.
Mid-Term: SMA 50 crosses over SMA 100.
Macro-Trend: SMA 100 crosses over SMA 200.
2. The 4-Stage Risk Engine (Dynamic Stop Loss) Instead of a static Stop Loss, this strategy uses a progressive system that adapts as the price increases:
Stage 1 (Protection): Starts with a fixed Stop Loss (default -10%) to give the trade room to breathe.
Stage 2 (Break-Even): Once the price rises by 12%, the Stop is moved to trailing mode (10% distance), effectively securing a near break-even state.
Stage 3 (Profit Locking): At 25% profit, the trailing stop tightens to 8% to lock in gains.
Stage 4 (Parabolic Mode): At 40% profit, the trailing stop tightens further to 5% to capture the peak of parabolic moves.
3. Dual Exit Mechanism The strategy exits a position if EITHER of the following happens:
Stop Loss Hit: Price falls below the dynamic red line (Risk Engine).
Dead Cross: The trend structure breaks (e.g., SMA 25 crosses under SMA 50), signaling a momentum loss even if the Stop Loss wasn't hit.
4. "High-Water Mark" Re-Entry To avoid "whipsaws" in choppy markets, the script does not re-enter immediately after a stop-out.
It marks the highest price of the previous trade (Green Dotted Line).
A Re-Entry only occurs if the price breaks above this previous high (showing renewed strength) AND the long-term trend is bullish (Price > SMA 200).
Visuals:
SMAs: 25 (Yellow), 50 (Orange), 100 (Blue), 200 (White).
Red Line: Visualizes the dynamic Stop Loss level.
Green Dots: Visualizes the target price needed for a valid re-entry.
Settings: All parameters (SMA lengths, Stop Loss percentages, Staging triggers) are fully customizable in the settings menu to fit different assets (Crypto, Stocks, Forex) and timeframes.
知行趋势指标【B站 Z哥的黄白线指标】
黄白线指标是由 B站 UP 主 Z哥 总结并分享的一套趋势观察工具。指标以两条核心线——黄线（短周期趋势） 与 白线（长周期趋势） 构成，通过两者之间的相对位置、交叉关系及区域结构，帮助交易者更清晰地判断行情的强弱、趋势方向与潜在转折点。
黄线通常代表短期多空力量的波动，而白线反映更稳定的中期趋势。当黄线向上突破白线时，常视为短期强势启动的信号；反之，当黄线跌破白线时，则可能意味着短线转弱或趋势反转的风险。
该指标适合趋势跟随、顺大逆小的交易逻辑，也可作为交易系统中的辅助判断工具。
The Yellow-White Line Indicator is a trend-analysis tool created and shared by the Bilibili content creator Z-Ge. It is built around two primary lines: the Yellow Line (short-term trend) and the White Line (medium-term trend). By observing the interaction, crossover, and relative position between these two lines, traders can better identify market strength, trend direction, and potential reversal points.
The Yellow Line captures short-term momentum shifts, while the White Line reflects a more stable medium-term trend. When the Yellow Line crosses above the White Line, it often signals improving short-term strength; when it crosses below, it may indicate weakening momentum or a possible trend reversal.
This indicator works well with trend-following systems and can serve as a supplemental confirmation tool in broader trading strategies.
EMA 20The EMA 20 (Exponential Moving Average 20) is a simple trend-following indicator designed to smooth price fluctuations and highlight short-term market direction.
This script plots a 20-period exponential moving average in red, allowing traders to quickly assess whether price is trading above or below the short-term trend.
When price remains above the EMA 20, it often suggests bullish strength; when price falls below it, it may indicate short-term weakness.
This indicator is minimal, clear, and useful as a foundational trend reference in any trading system.
EVS BTC V1Overview
The "EVS BTC V1" is a momentum-based trading strategy designed for Bitcoin (BTC) or similar volatile assets on TradingView. It combines Exponential Moving Averages (EMAs) for trend direction, volume confirmation to filter for strong moves, and an optional Relative Strength Index (RSI) filter to avoid overextended entries. The strategy uses a trailing stop for exits to lock in profits dynamically. It's set up for backtesting with an initial capital of $10,000, risking 10% of equity per trade, and accounting for 0.1% commissions.This is a crossover strategy: it goes long on bullish EMA crossovers with high volume (and RSI not overbought) and short on bearish crossunders (with high volume and RSI not oversold). It's overlayed on the main price chart for easy visualization.Key Parameters (User-Adjustable)Fast EMA Period: 9 (default) – Shorter-term trend line.
Slow EMA Period: 21 (default) – Longer-term trend line.
Volume Multiplier: 1.5 (default) – Requires volume to be 1.5x the 20-period average for signal validation.
Use RSI Filter?: Enabled (default) – Optional toggle to apply RSI conditions.
RSI Period: 14 (default), with overbought threshold at 70 and oversold at 30.
Trailing Stop Profit: 50 points (default) – Activates trailing once this profit level is hit.
Trailing Stop Offset: 20 points (default) – Distance from the high/low to trail the stop-loss.
Indicators UsedEMAs: 9-period (fast, blue line) and 21-period (slow, red line) on close prices.
Volume Filter: Compares current volume to a 20-period SMA; signals only trigger if volume exceeds the average by the multiplier (highlighted in yellow bars).
RSI: 14-period on close; plotted in purple on a sub-panel if enabled, with dashed horizontal lines at 70 (overbought) and 30 (oversold).
Entry RulesEntries are triggered only when all conditions align on a bar close:Direction
Conditions
Long (Buy)
- Fast EMA crosses over Slow EMA (bullish trend shift).
- Volume is "high" (> 1.5x 20-period avg).
- RSI < 70 (not overbought; skipped if filter disabled).
Short (Sell)
- Fast EMA crosses under Slow EMA (bearish trend shift).
- Volume is "high" (> 1.5x 20-period avg).
- RSI > 30 (not oversold; skipped if filter disabled).
On entry: Places a market order using 10% of current equity.
Alerts: Fires a one-time alert per bar (e.g., "Long Signal: EMA Crossover + High Volume!").
Exit RulesNo fixed take-profit or stop-loss on entry.
Uses a trailing stop for both long and short positions:Trails the stop-loss 20 points below the highest high (for longs) or 20 points above the lowest low (for shorts), but only activates after 50 points of unrealized profit.
This allows winners to run while protecting gains dynamically.
Positions close automatically on opposite signals or trailing stop hits (no pyramiding; only one position per direction at a time).
VisualizationMain Chart: Blue fast EMA and red slow EMA lines. Green background tint on long signals, red on short signals.
Volume Sub-Panel: Gray columns for normal volume, yellow for high-volume bars; zero line for reference.
RSI Sub-Panel (if enabled): Purple RSI line with overbought/oversold dashed lines.
Strengths and ConsiderationsStrengths: Simple, trend-following with volume to avoid weak signals; RSI adds mean-reversion protection; trailing stops suit trending markets like BTC.
Risks: Whipsaws in sideways markets (EMA crossovers can false-signal); volume filter may miss low-volume breakouts; trailing parameters (50/20 points) assume a specific price scale (e.g., BTC/USD in dollars—adjust for other pairs).
Best For: Higher timeframes (e.g., 1H or 4H) on volatile crypto pairs. Backtest on historical data to tune parameters.
All-in-One (PHT)All-in-One (PHT) — Modular Multi-Tool Market Analyzer (Pine Script v6)
All-in-One (PHT) is a complete, modular market-analysis toolkit designed for traders who want clean, reliable, and professional-grade charting - in a single indicator.
Built using Pine Script® v6 and structured with reusable PHT-Libraries (EMA Band, Bollinger Band, Fractal, Session), this indicator delivers clarity, precision, and consistent performance across all markets and timeframes.
Unlike traditional indicators that mix logic and visuals, AIO (PHT) uses a fully modular architecture. All calculations come from dedicated libraries, and this main script focuses purely on visual output and clean plotting.
This ensures:
Stable plot references
Zero repainting in all included modules
High performance even with complex overlays
Easy extensibility for future upgrades
🔥 Included Modules
1. EMA Band (PHT Library)
A triple-EMA band designed for trend clarity and structure.
Provides:
EMA of High
EMA of Close
EMA of Low
Band fill visualization
Ideal for identifying trend strength, momentum pockets, and mean-reversion zones.
2. Bollinger Band Suite
A complete Bollinger framework with:
SMA / EMA / WMA midline options
Dual standard-deviation envelopes
Multi-zone band fills (upper, middle, lower)
User-controlled visibility for each layer
Perfect for volatility detection, squeeze identification, and precision envelope trading.
3. Fractal Engine (High/Low Pivots)
Fast, reliable fractal detection using user-defined left/right periods.
Features:
Pivot Highs & Pivot Lows
Multiple marker sizes (Tiny → Large)
Zero-lag plotting with proper offset handling
Useful for swing structure, breakout confirmation, and automated level marking.
4. Market Session Tracker
A powerful session-mapping module that visually highlights market sessions with:
Dynamic session boxes
High & Low markers
Persistent historical sessions
Auto-managed labels, lines, and live updates
Timezone-aware session boundaries (supports IANA zones)
Designed for identifying daily ranges, session liquidity, volatility pockets, and market timing.
🧠 Why This Indicator Is Different
Most “all-in-one” tools mix plotting, logic, and calculations in a single heavy script, causing lag, reference instability, and repainting issues.
All-in-One (PHT) solves this by using a Pine v6 library architecture:
Each component is computed in its own library
The main script handles only visuals
No hidden code, no repainting tricks
Maximum clarity and maintainability
This design mirrors professional software architecture:
clear separation of logic, visuals, and user interface.
🎯 Ideal For
Trend traders
Scalpers & intraday traders
Swing and positional traders
Volatility analysts
Structure-based price action traders
Anyone who wants multiple high-quality tools in one clean indicator
Whether you analyze markets manually or build algorithmic systems, AIO (PHT) provides a solid foundation.
⚙️ Features at a Glance
Fully modular Pine v6 design
Complete EMA band engine
Advanced Bollinger band system (multi-deviation, multi-fill)
Configurable fractal high/low markers
Smart session boxing with history
Clean visuals and transparent settings
No repainting
Fully customizable colors & visibility
Optimized for performance
💡 How to Use
Choose the modules you want to display (EMA, BB, Fractals, Sessions).
Adjust lengths, deviations, or fractal periods as per your trading style.
Use session boxes to understand volatility timing.
Combine bands + fractals for advanced structure-based decisions.
The indicator is designed to overlay on price for maximum clarity.
🚀 Future Upgrades
The PHT framework supports smooth future expansion. Planned modules include:
ATR/volatility engines
Trend switches
Supertrend/Donchian plugins
Volume profile extensions
Updates will remain backward compatible across all modules.
⭐ Summary
All-in-One (PHT) is not just another overlay — it’s a complete multi-tool trading framework built using professional engineering practices in Pine Script v6.
If you want cleaner charts, smarter signals, and a high-performance modular system, this indicator gives you everything in one reliable package.
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note
The log-regression window LR length controls how long a long-term fair value path is estimated from historical data.
The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”.
When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as:
“Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.”
Guidelines:
In general, set the AHR window equal to or slightly longer than the LR window:
If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution.
If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history.
For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years).
For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years.
1. Price series & windows
Working timeframe: daily (1D).
Let the daily close of the current symbol on day t be P_t .
Main length parameters:
HM window: L_HM = maLen (default 200 days)
Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years)
AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years)
2. Harmonic moving average (HM)
On a window of length L_HM, define the harmonic mean:
HM_t = ^(-1)
Here eps = 1e-10 is used to avoid division by zero.
Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly.
3. Log-regression baseline (LR)
On a window of length L_LR, perform a linear regression on log price:
Over the last L_LR bars, build the series
x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit
x_k ≈ a + b * k.
The fitted value at the current index t is
log_P_hat_t = a + b * t.
Exponentiate to get the log-regression baseline:
LR_t = exp( log_P_hat_t ).
Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days.
4. HM-based AHR (valuation ratio)
At each time t, build an HM-based AHR (valuation multiple):
AHR_t = ( P_t / HM_t ) * ( P_t / LR_t )
Interpretation:
P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean).
P_t / LR_t : deviation of price from the long-term log-regression trend.
Multiplying them means:
if price is above both HM and LR, “expensiveness” is amplified;
if price is below both, “cheapness” is amplified.
Typical reading:
AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper.
AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive.
5. Empirical quantile thresholds (Opp / Risk)
On each new day, whenever AHR_t is valid, add it into a rolling array:
A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements)
On this empirical distribution, define two quantiles:
Opportunity quantile: q_opp (default 15%)
Risk quantile: q_risk (default 65%)
Using standard percentile computation (order statistics + linear interpolation), we get:
Opp threshold:
theta_opp = Percentile( A_t_window, q_opp )
Risk threshold:
theta_risk = Percentile( A_t_window, q_risk )
We also compute the percentile rank of the current AHR inside the same history:
q_now = PercentileRank( A_t_window, AHR_t ) ∈
This yields three valuation zones:
Opportunity zone: AHR_t <= theta_opp
(corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.)
Neutral zone: theta_opp < AHR_t < theta_risk
Risk zone: AHR_t >= theta_risk
(corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.)
All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity.
6. DCA simulation (lightweight, rolling window)
Given:
a daily budget B (input: budgetPerDay), and
a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years),
The script applies the following rule on each new day t:
If thresholds are unavailable or AHR_t > theta_risk
→ classify as Risk zone → buy = 0
If AHR_t <= theta_opp
→ classify as Opportunity zone → buy = 2B (double size)
Otherwise (Neutral zone)
→ buy = B (normal DCA)
Daily invested cash:
C_t ∈ {0, B, 2B}
Daily bought quantity:
DeltaQ_t = C_t / P_t
The script keeps rolling sums over the last H days:
Cumulative position:
Q_H = sum_{k=t-H+1..t} DeltaQ_k
Cumulative invested cash:
C_H = sum_{k=t-H+1..t} C_k
Current portfolio value:
PortVal_t = Q_H * P_t
Cumulative P&L:
PnL_t = PortVal_t - C_H
Active days:
number of days in the last H with C_k > 0.
These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
MaruMaroo's Multi-MA & BB & Ichimoku매매할 때 가장 기본적으로 세팅하는 이동평균선, 볼린저 밴드, 일목균형표를 스크립트 하나로 합쳤습니다.
무료 계정이라 지표 개수 제한(3개) 때문에 불편하셨거나, 이것저것 추가해서 차트 지저분해지는 거 싫으신 분들 쓰시면 됩니다. 복잡한 거 싹 빼고 딱 필요한 기능만 넣어서 최적화했습니다.
7줄 이동평균선 (Rainbow MA): 단기부터 장기까지 7개 라인을 한 번에 보여줍니다. 설정에서 단순(SMA), 지수(EMA)뿐만 아니라 가중(WMA), 거래량가중(VWMA) 등으로 바꿀 수 있습니다.
헷갈림 방지 라벨: 이평선이 많으면 뭐가 60일선이고 120일선인지 헷갈리는데, 선 끝자락에 숫자(기간)가 뜨도록 해서 보기 편하게 만들었습니다. (글자 크기도 키워둠)
볼린저 밴드 & 일목균형표: 표준편차 1, 2배수 밴드랑 일목 구름대까지 다 포함되어 있습니다.
커스텀: 안 쓰는 기능은 설정에서 체크 해제하면 깔끔하게 사라집니다. 입맛대로 세팅해서 쓰세요.
I combined the most essential trading indicators into a single script to keep the chart clean and bypass the indicator limit.
If you are tired of switching between indicators or have a cluttered screen, this "All-in-One" setup is for you. It includes everything you need for trend and volatility analysis.
7 Moving Averages: Covers short to long-term trends (Rainbow setup). You can switch types between SMA, EMA, SMMA, WMA, and VWMA in the settings.
Smart Labels: Added labels at the end of each MA line so you can instantly see which line corresponds to which period (e.g., 20, 60, 120).
Bollinger Bands & Ichimoku: Includes Double Bollinger Bands (StdDev 1 & 2) and the full Ichimoku Cloud system.
Fully Customizable: You can toggle each component ON or OFF in the settings.
Buy Sell Signal — Ema crossover [© gyanapravah_odisha]Professional EMA Crossover + ATR Risk Control
Trade with confidence using a complete system that gives you clear entries, smart exits, and full automation.
Includes:
Precision 5/13 EMA crossover signals
ATR-based adaptive stop-loss
Multiple take-profit levels (with intermediate targets)
Fully customizable R:R ratios
ATR + volume filters to avoid choppy markets
Real-time trade dashboard
All alerts included
Built for: Crypto, Forex, Stocks • Scalping & Swing Trading
Built for you: Free, open-source & made for real-world trading.
VWAP & EMA9 Cross AlertAlerts the user when VWAP and EMA 9 cross. It gives a general direction of the market to help make decisions.
VWAP & EMA9 Cross AlertAlerts when EMA9 and VWAP Cross. This provides an indicator of general market direction based on these 2 indicators.
Call Put on same chart [PRO]Description:
This is the PRO version of all ready free available indicator on tradingview
Call Put on same chart
In vesrion you will get AFMA and REMA .
This innovative indicator provides a unique, real-time visualization of both Call and Put option prices for the same strike price directly on your TradingView chart. Designed for active options traders, it simplifies the analysis of price action for specific strikes, helping you quickly identify significant levels and potential shifts in market interest.
important : choose only put strike call strike automatically plot on chart
This indicator works with Indian market (nifty , banknifty ,sensex ,crudeoil , naturalgas )
Key Features:
Integrated Call & Put Prices: Clearly displays the prices of both Call and Put options for a user-defined strike price within the same indicator pane, offering an immediate side-by-side comparison.
Real-time Data: Plots live option price updates, allowing you to monitor the dynamic interplay between Calls and Puts throughout the trading session.
Intuitive Visualization: Transforms complex options data into easily digestible lines on your chart, making it easier to spot trends, relative strength, and support/resistance levels at crucial strikes.
User-Friendly Inputs: Simple input fields allow you to easily select the underlying symbol, expiry date, and the specific strike price you wish to monitor.
Enhanced Options Analysis: A valuable tool for gauging market participants' expectations and positioning at key psychological or technical levels.
Important Note:
This indicator provides a visual tool for options analysis and does not constitute financial advice.
Options trading involves significant risk and may not be suitable for all investors.
Users are encouraged to combine this tool with their own comprehensive analysis and risk management strategies.
Estrategia TEMA Pro [Límite Ops por Ventana]good money
jucale
keep faith
dont stop working
eat vegatables
EB/TB V24: Fixed Risk Trend-Following (Elephant Bar / Trend Bar)This is an advanced trend-following strategy built around the Elephant Bar (EB) and Trend Bar (TB) candle patterns. It uses a fixed dollar risk per trade to automatically size positions and employs a sophisticated exit management system, including partial profit taking, a dynamic Trailing Stop Loss (SL), and a 180° immediate reversal mechanism.
Detailed Description
This strategy is designed for active trend capture and robust risk management:
Fixed Risk Position Sizing: Automatically calculates trade quantity based on a defined maximum dollar risk (mlpt_max_risk) and the initial Stop Loss placement.
Trend Identification: Entries are triggered by confirmed Elephant Bars (strong momentum candles) or Trend Bars, filtered by two short-term MAs (MA #1, MA #2) and a long-term MA (MA #3 / MA200) for context.
Dual Exit Management:
Partial Take Profit (50%): Half the position is closed at a fixed profit target (tp_fixed_pct).
Dynamic Trailing SL (50%): The remaining 50% is protected by a Trailing SL that adjusts based on the low/high of subsequent valid EB/TB signals, maximizing trend ride duration.
Emergency Exits:
SAma Exit: Uses the crossing of the price below/above the MA #1 (short period) as a dynamic exit criterion.
180° Reversal: Features an immediate close (Cap8) and reverse (180) entry when a strong, unfiltered opposite raw EB signal appears.
Note: This published version only displays the Moving Averages, the entry signals, and the Take Profit lines for a clean chart view.
Mebane Faber GTAA 5In 2007, Mebane Faber published research that challenged the conventional wisdom of buy-and-hold investing. His paper, titled "A Quantitative Approach to Tactical Asset Allocation" and published in the Journal of Wealth Management, demonstrated that a simple timing mechanism could reduce portfolio volatility and drawdowns while maintaining competitive returns (Faber, 2007). This indicator implements his Global Tactical Asset Allocation strategy, known as GTAA5, following the original methodology.
The core insight of Faber's research stems from a century of market data. By analyzing asset class performance from 1901 onwards, Faber found that a ten-month simple moving average served as an effective trend filter across major asset classes. When an asset trades above its ten-month moving average, it tends to continue its upward trajectory; when it falls below, significant drawdowns often follow (Faber, 2007, pp. 12-16). This observation aligns with momentum research by Jegadeesh and Titman (1993), who documented that intermediate-term momentum persists across equity markets.
The GTAA5 strategy allocates capital equally across five diversified asset classes: domestic equities (SPY), international developed markets (EFA), aggregate bonds (AGG), commodities (DBC), and real estate investment trusts (VNQ). Each asset receives a twenty percent allocation when trading above its ten-month moving average. When an asset falls below this threshold, its allocation moves to short-term treasury bills (SHY), creating a dynamic cash position that scales with market risk (Cambria Investment Management, 2013).
The strategy's historical performance during market crises illustrates its function. During the 2008 financial crisis, traditional sixty-forty portfolios experienced drawdowns exceeding forty percent. The GTAA5 strategy limited losses to approximately twelve percent by reducing equity exposure as prices declined below their moving averages (Faber, 2013). This asymmetric return profile represents the strategy's primary characteristic.
This implementation uses monthly closing prices retrieved via request.security() to calculate the ten-month simple moving average. This distinction matters, as approximations using daily data (such as a 200-day moving average) can generate different signals during volatile periods. Monthly data ensures the indicator produces signals consistent with published academic research.
The indicator provides position monitoring, automatic rebalancing detection on either the first or last trading day of each month, and share calculations based on user-defined capital. A dashboard displays current trend status for each asset class, target versus actual weightings, and trade instructions for rebalancing. Performance metrics including annualized volatility and Sharpe ratio provide ongoing risk assessment.
Several limitations warrant acknowledgment. First, the strategy rebalances monthly, meaning it cannot respond to intra-month market crashes. Second, transaction costs and taxes from monthly rebalancing may reduce net returns for taxable accounts. Third, the ten-month lookback period, while historically robust, offers no guarantee of future effectiveness. As Ilmanen (2011) notes in "Expected Returns", all timing strategies face the risk of regime change, where historical relationships break down.
This indicator serves educational purposes and portfolio monitoring. It does not constitute financial advice.
References:
Cambria Investment Management (2013). Global Tactical Asset Allocation: An Introduction to the Approach. Research Report, Los Angeles.
Faber, M.T. (2007). A Quantitative Approach to Tactical Asset Allocation. Journal of Wealth Management, Spring 2007, pp. 9-79.
Faber, M.T. (2013). Global Asset Allocation: A Survey of the World's Top Asset Allocation Strategies. Cambria Investment Management, Los Angeles.
Ilmanen, A. (2011). Expected Returns: An Investor's Guide to Harvesting Market Rewards. John Wiley and Sons, Chichester.
Jegadeesh, N. and Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), pp. 65-91.
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart:
SMA 50 – Short-term trend direction
SMA 150 – Medium-term trend direction
ATR – Market volatility (Average True Range)
Line colors and lengths can be customized in the settings.
The ATR is plotted on the same chart for quick volatility reference without needing a separate panel.
This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
inyerneck Diaper Sniper v16 — LOW VOL V CATCHERDiaper Sniper v16 — Low-Vol Reversal Hunter
Catches dead-cat bounces and V-shaped reversals on the day’s biggest losers.
Designed for pennies and trash stocks that drop 6 %+ from recent high and snap back on any volume + green candle.
Features:
• Tiny green “D” = reversal signal
• Works on 1m → daily
• Fully adjustable filters
Best on low-float runners that bleed hard and bounce harder.
Use tiny size — it fires a lot.
Public version — code visible. No invite-only on Essential plan.
do not alter settings with out first recording defaults.. defaults are quite effective
2025 build. Test at your own risk.
ATM PROThe world’s strongest indicator that combines multiple indicators together, providing you with entry points, targets, and stop-loss levels with extreme accuracy. You can adjust its inputs to suit Forex and crypto pairs according to your needs. It contains these tools, and you can modify them based on your requirements.
المؤشر الاقوى عالميا الذي جمع عدة مؤشرات معا , من خلاله سيعطيك نقاط ( دخول واهداف وايقاف خسارة ) بدقة متناهية وتستطيع ان تعدل المدخلات ليتناسب مع ازواج الفوركس والكريبتو بشكل يتناسب مع ما تحتاجه
يحتوي على هذه الادوات ويمكنك تعديلها حسب متطلباتك
SHORT EMA
LONG EMA
TREND EMA
MACD SHORT
MACD LONG
MACD SIGNAL
RSI LENGTH
ATR LENGTH
VOLUME MULTIPLIER
ATR TARGET 1.2.3.4.5
STOP LOSS MULTIPLIER
BY ATM TEAM
