Quantura – Quantitative AlgorithmIntroduction
“Quantura – Quantitative Algorithm” is an algorithmic trading strategy written in Pine Script that combines technical indicators with fundamental market assessments. It was primarily developed for volatile crypto markets but can also be applied to Forex, equities, or indices with proper adjustments. The strategy works across multiple timeframes and generates automated buy and sell signals based on a wide range of market and sentiment data. Its goal is to produce robust trading signals through confluence across several analytical layers, without making unrealistic profit promises.
Originality & Value
Quantura stands out due to its unique combination of features: In addition to classic indicators, it incorporates customizable fundamental analysis and sentiment inputs that allow flexible adaptation to current market conditions. Unlike simpler strategies, the user can manually set the fundamental bias (bullish/bearish/neutral) and market sentiment, making the strategy more cautious or aggressive as needed.
Furthermore, Quantura combines multiple timeframes : a higher timeframe (HTF, e.g., daily) and a lower timeframe (LTF, e.g., intraday). This approach allows long-term trends to be aligned with short-term entry signals.
Key components include:
Market Structure Analysis: Identifies higher highs and lower lows on the higher timeframe.
Order Block Filter: Detects significant price levels (order blocks) with strong volume to filter out weak entries.
Exponential Moving Averages (EMA): Adjustable HTF EMA filter for trend confirmation.
Adaptive Premium/Discount Zones: Defines overvaluation (premium) and undervaluation (discount) areas based on HTF highs and lows.
Candlestick Pattern Recognition: Optional detection of specific candle formations (Hammer, Shooting Star, Engulfing, Marubozu, etc.).
Correlation Filter (optional): Cross-checks correlations between the main asset and a reference asset (e.g., SPY).
Functionality & Indicators
The strategy uses an RSI-based entry trigger as its primary signal: When the RSI (default: 10 periods) exits overbought/oversold zones, a potential long or short signal is created. However, an entry is only executed if all selected confluence filters align .
Quantura also integrates fundamental bias : The user-defined inputs for “Market Sentiment” and “Fundamental Analysis” add a bullish, bearish, or neutral weighting to the decision logic. An optional correlation filter compares price changes of the target asset with a reference symbol, confirming or rejecting trades based on correlation strength.
When all conditions are met, Quantura opens a position. Pyramiding is disabled (only one active trade at a time). Exits are managed primarily with ATR-based targets and stops , calculated dynamically from market volatility. Optional breakeven stops and session-end exits provide additional trade control.
Parameters & Customization
Quantura provides extensive input parameters for flexible configuration:
Time & Session Settings: HTF and LTF selection, trade direction (Long/Short/Both), trading session hours, weekday filters.
Filters: Enable or disable filters such as HTF structure, order blocks (with customizable volume multiplier), premium/discount zones, high-volume zones, HTF EMA filter, candlestick pattern filter, and ATR volatility filter.
RSI Entry Settings: RSI length and thresholds for overbought/oversold.
Fundamental Settings: Current market sentiment and fundamental analysis inputs (bullish/bearish/neutral).
Correlation Settings: Reference asset and correlation strength (High/Low).
Exit Rules: ATR-based TP/SL multipliers, optional breakeven logic, session-end exits, and opposite-signal exits.
Visual Settings: Enable or disable buy/sell signals, trend candles, custom colors, and the built-in dashboard.
Backtesting & Performance
Backtests on BTCUSD (2 years) showed:
72 trades
46% win rate
Profit factor: 1.6
Maximum drawdown: 10%
These results demonstrate moderate profitability with controlled risk. However, with only 72 trades in two years, statistical reliability is limited. TradingView generally recommends over 100 trades for meaningful results.
Risk Management
Quantura includes several built-in risk management mechanisms:
ATR-based TP/SL: Dynamic profit targets and stop-losses based on ATR multiples.
Position sizing: Default is 100% equity (for backtests). In practice, smaller allocations (5–10%) are strongly recommended.
Breakeven stop (optional): Moves SL to entry price after a predefined profit threshold.
Opposite-signal exit: Closes and reverses trades when a contrary signal appears.
Session-end exit: Automatically closes intraday positions at the end of a trading session.
Limitations & Market Conditions
Quantura is most effective in volatile, liquid markets like crypto. In low-volatility sideways markets, signals may be less reliable. Unexpected news events can also invalidate signals, regardless of technical/fundamental bias.
Backtest results are based on BTCUSD. For other markets (Forex, equities, indices), parameter adjustments are required. Users should conduct their own extended backtests before live usage.
Usage Guide
Add to chart: Apply “Quantura – Quantitative Algorithm” in strategy mode.
Set timeframes: Choose HTF (e.g., 1D) and LTF (e.g., 5m). Define trade direction and sessions.
Configure filters: Enable/disable confluence filters as needed.
Set fundamentals: Enter current sentiment and fundamental bias.
Define exits: Adjust ATR multipliers, breakeven rules, and session-end exits.
Review signals: Check buy/sell markers, candle coloring, and the dashboard. Analyze in Strategy Tester.
Author & Access
The strategy was developed 100% by Quantura and is published as an Invite-Only script . Access is granted upon request. Instructions are available in the Author’s Instructions field (e.g., via the Quantura website).
Important: This description complies with TradingView’s official publishing rules. It avoids pricing or solicitation and provides a realistic, honest explanation of the strategy’s features and limitations.
震盪指標
Stratégie Longue Supertrend/RSI/MME200 - gold -1 one daystrategy based on the supertrend indicator, the RSI, and the exponential moving average
interval 1 day on god (xau/usd)
Stratégie Longue Supertrend/RSI/MME200strategy based on the supertrend indicator, the RSI, and the exponential moving average
x-Indicator Scalper Bot趋势动量突破策略:利用 RSI 动量信号与 EMA 趋势确认相结合,利用早期趋势启动,遵循趋势方向捕捉延续模式。
Trend Momentum Breakout Strategy: Capitalize on early trend initiation by combining RSI momentum signals with EMA trend confirmation, following the trend direction to capture continuation patterns.
PivotBoss Continuous 2-Day Relationship StrategyThis strategy checks pivot relationships on daily open and based on that provide signals at market open
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy
1️⃣ Core Structure
Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC).
Signal (PCA-1):
RSI(14), MFI(14), ROC(5) → each is converted into a z-score.
Their average becomes the “composite signal,” our PCA-1 value.
Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN.
2️⃣ Side Filters
Regime Filter (ADX + EMA)
ADX is calculated manually.
If ADX > 20 → trend exists → a 50-period EMA of this value smooths it.
This turns “trend regime” into a probability between 0–1.
Chebyshev Filter
A return series is checked against mean ± k*sigma bands.
If the return is within this band → valid signal. Extreme moves are filtered out.
VWAP Filter
Long trades: price must be above VWAP.
Short trades: price must be below VWAP.
Trades are only taken on the correct side of institutional cost averages.
3️⃣ Entry Conditions
Long:
PCA-1 signal crosses above threshold.
Trend Up + Regime OK + Chebyshev OK + Above VWAP.
Short:
PCA-1 signal crosses below threshold.
Trend Down + Regime OK + Chebyshev OK + Below VWAP.
4️⃣ Exit Mechanism
Main Exit: ATR-based stop/target.
Stop = entry price – ATR × (SL factor).
Take profit = entry price + ATR × (TP factor).
Additional Exit:
If price crosses to the opposite side of VWAP.
If PCA-1 signal crosses zero.
👉 Prevents trades from being locked, makes exits adaptive.
5️⃣ Labels / Visualization
AL / SHORT → entry points.
SAT / COVER → exit points.
VWAP line plotted in blue.
🧩 Strategy Features
Optimizable parameters:
Z-window (zWin)
Threshold
Chebyshev factor
ATR stop/target multipliers
This system works with:
Disciplined core (PCA-1 signal)
Triple protection (Regime + Chebyshev + VWAP)
Adaptive exits (ATR + VWAP/signal cross)
👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine.
💡 Final Note
This is a base model of the system — open for further development.
I’ve shared the logic to give you a roadmap.
If you spot errors, fix them → that’s how you’ll improve it.
Don’t waste time asking me questions — refine and build it better yourselves.
Wishing you profitable trades. Stay well 🙏
POC + OB/Breaker + IFVG + More Confluence 93%WR [STRATEGY]This strategy is designed for traders who rely on confluence-based setups to improve entry precision and risk management. It integrates multiple institutional concepts into a single, adaptive framework with dozens of inputs:
When ran on the 5m timeframe with default inputs over August 2024 - August 2025, this strategy produces 159 trades with a:
- 93.71% winrate
- 0.927 average profit factor
With the amount of inputs continuously added to customize this strategy, there's a place to use it everywhere.
🔑 Core Features
Volume Profile POC: Dynamically plots the Point of Control (POC) with customizable lookback and bin sizes. Zones near the POC are prioritized for higher-probability setups.
Market Structure & Order Blocks: Automatically detects Break of Structure (BOS), marks order blocks, and tracks their validity across bars.
Breaker Blocks: Converts invalidated order blocks into breaker zones, providing additional reactive levels.
Inversion Fair Value Gaps (IFVGs): Identifies and tracks classic FVGs and flips them into support/resistance zones when breached.
📈 Filters & Confirmations
Trend Filter: Optional EMA cross and ADX filter to align trades with higher-timeframe momentum.
Volume Filter: Confirms trades only when volume exceeds a user-defined threshold.
RSI Confirmation: Ensures momentum is turning in favor before entry.
⚖️ Risk Management
Structure-Based Stops: Uses OBs, breakers, or FVG boundaries as protective stops (with ATR fallback).
Adaptive R:R: Targets scale dynamically based on volatility, trend strength, and momentum.
Trailing Stop System: Activates after reaching a defined R multiple and adjusts with price action while locking in profits.
One-Trade-Per-Zone Option: Prevents over-trading the same level repeatedly.
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Inputs are constantly being added, these are the current inputs as of 8/23/25:
📊 Volume Profile (POC)
VP Lookback (bars) (vpLookbackBars) – How many bars back to calculate the rolling Volume Profile.
VP Number of Price Bins (vpBins) – Number of price levels/buckets used to build the histogram.
Price Near POC (ticks) (pocNearTicks) – How close price must be to the POC (in ticks) to count as “near POC.”
POC–Reaction Confluence (ticks) (pocZoneNearTicks) – Maximum distance (in ticks) between the POC and a reaction zone to qualify as confluence.
🏗 Structure (Pivots & OB)
Pivot Left/Right (swLen) – Swing length used to detect highs and lows for market structure.
Max bars to keep latest OB/Breaker active (maxObBars) – How long (in bars) an order block or breaker zone remains valid.
📐 Fair Value Gaps (FVGs)
Use Inversion FVG (useIFVG) – If enabled, FVGs flip into support/resistance zones once breached.
Min FVG Size (ticks) (minFvgTicks) – Minimum gap size (in ticks) required for an FVG to be considered.
📈 Trend Filter
Use Trend Filter (useTrendFilter) – Enables/disables EMA + ADX filtering for trade direction.
Fast EMA Length (emaFastLen) – Length of the fast EMA.
Slow EMA Length (emaSlowLen) – Length of the slow EMA.
ADX Length (adxLen) – Period length for ADX calculation.
ADX Threshold (adxThreshold) – Minimum ADX value to consider a trend strong enough to filter entries.
🔊 Volume Confirmation
Use Volume Filter (useVolFilter) – Enables/disables volume confirmation filter.
Volume SMA Length (volSmaLen) – Period of the moving average for volume comparison.
Volume Threshold Multiplier (volMultiplier) – How much higher than average volume must be to confirm a setup.
✅ Entry Confirmation
Use Entry Confirmation (useConfirmation) – Enables/disables RSI-based confirmation.
RSI Length (rsiLen) – RSI calculation period.
RSI Buy Threshold (rsiBuyThreshold) – RSI level below which long entries can be confirmed (oversold).
RSI Sell Threshold (rsiSellThreshold) – RSI level above which short entries can be confirmed (overbought).
Wait for Candle Close (waitForClose) – If enabled, signals only confirm after candle close.
🛡 Risk / Exits
Use structure-based stops (useStructureStops) – Stops are placed at OB/Breaker/FVG boundaries, with ATR fallback.
ATR Len (fallback) (atrLen) – ATR period used for fallback stop-loss calculation.
ATR Mult (fallback) (atrMult) – Multiplier applied to ATR when using fallback stops.
Use Adaptive R:R (useAdaptiveRR) – Enables adaptive Risk:Reward calculation based on volatility and momentum.
Base R:R Multiple (baseRR) – Default risk/reward multiplier.
Min R:R Multiple (minRR) – Minimum allowed R:R.
Max R:R Multiple (maxRR) – Maximum allowed R:R.
Only one trade per newly detected zone (onlyOneTradePerZone) – Prevents multiple entries off the same zone.
📉 Trailing Stop
Use Trailing Stop (useTrailingStop) – Enables trailing stop logic.
Activate at R:R (trailTriggerRR) – R multiple at which the trailing stop activates.
Trail Distance in R (trailStopRR) – Distance (in R units) that the trailing stop trails behind price.
RSI Bands With RSI - ATR Trend StrategyRSI Bands With RSI-ATR Trend Line Strategy
Overview
A trend-following strategy that combines RSI regime detection with a smoothed baseline and ATR bands. Works similar to Supertrend: the line flips bullish or bearish only when price closes beyond the band, aiming to filter noise and catch clean moves.
How It Works
RSI above 50 = bullish bias, below 50 = bearish bias
A dynamic baseline is calculated from RSI and price range, then smoothed
ATR bands expand/contract with volatility
Close above the upper band → bullish flip → long entry
Close below the lower band → bearish flip → short entry
Between bands → prior trend continues
Features
Automatic Buy/Sell entries on confirmed flips
Configurable RSI, Smoothing, ATR, and Multiplier inputs
Visual trend line (green = bull, red = bear)
Backtest ready with initial capital and commission settings
Best Use Cases
Trending markets across Forex, Crypto, Indices, Commodities
Works on multiple timeframes (higher TFs = cleaner flips)
Flexible settings for conservative swing trading or aggressive scalping
⚠️ For testing/education only. Always manage risk and confirm with higher-timeframe or structure filters.
RSI Overbought/Oversold - Black GUIAn RSI-based strategy that buys when the RSI drops below 30 (indicating oversold conditions) and sells when it rises above 70 (indicating overbought conditions).
The strategy features a black-themed GUI for enhanced visibility. You can adjust the RSI length using the input parameter.
This strategy is useful for identifying potential reversal points in the market.
Always backtest the strategy before applying it to live trading.
Visit - for more such strategies.
BDNS ORB Strategy v3BDNS Opening Range Breakout Strategy
What This Strategy Does This strategy implements an Opening Range Breakout (ORB) system that identifies the high and low prices during a customizable opening period, then trades breakouts above or below these levels with momentum confirmation. The strategy goes beyond basic ORB concepts by incorporating ADX momentum filtering, VWAP directional bias, dynamic position sizing, and sophisticated exit management including breakeven moves and trailing stops.
Core Strategy Logic
Opening Range Definition: The strategy tracks price action during a user-defined opening period (default: 9:30-9:35 AM ET for 5 minutes). During this time, blue horizontal lines appear marking the session high and low. A yellow background highlights this opening range period.
Breakout Detection: After the opening range completes, green and red horizontal lines appear showing the actual entry levels - these are offset from the range boundaries by a configurable number of ticks (default: 24 ticks) to filter out false breakouts and ensure committed moves.
Entry Conditions: Trades trigger when price breaks through these offset levels during the trading window (green background, default until 10:30 AM ET), but only when:
ADX momentum indicator exceeds threshold (default 24.0) in the breakout direction
Price relationship to VWAP confirms directional bias (when VWAP filter enabled)
Daily trade limits haven't been reached
Large range filtering conditions are met
Visual Elements and Usage
Range Lines: Blue lines show the actual opening range boundaries. These appear immediately when the opening session begins.
Entry Levels: Green (long) and red (short) lines show where trades will trigger, appearing after the opening range completes.
Information Table: A data table appears in the top-right showing real-time strategy status including range size in ticks, ADX readings, filter status, trade counts, and momentum conditions.
Position Management:
When in a trade, colored circles appear showing:
Lime circles: Long position targets (T1, T2, T3)
Orange circles: Short position targets
Red circles: Stop loss levels
Blue crosses: Breakeven levels (when that feature activates)
Purple lines: Trailing stop levels (when position 3 trailing activates)
Background Colors:
Yellow: Opening range session active
Green: Trading window active
Purple: Large range day detected
Gray: Large range day being skipped
Position Management System
The strategy uses a three-tier exit approach:
Position 1: Takes partial profits at first target (default 50% of range size)
Position 2: Exits at second target (default 100% of range size)
Position 3: Either exits at third target or uses trailing stop after Position 2 wins
Breakeven Feature: When enabled and price reaches the breakeven trigger level, all stop losses move to a more favorable breakeven level instead of the original stop, protecting against giving back profits.
Trailing Stop System: After Position 2 hits its target, Position 3 automatically switches to a trailing stop that moves in the trader's favor as price continues trending.
Customization for Different Instruments
The default settings are configured for MNQ (Micro NASDAQ futures) but the ORB concept is highly customizable for any futures instrument and timeframe. Range duration, breakout offsets, and filter thresholds should be adjusted based on the specific instrument's volatility characteristics and typical intraday patterns.
Filter Usage Guidelines
ADX Momentum Filter: Essential for avoiding breakouts during consolidation. Higher thresholds (30+) for trending markets, lower (20-25) for more opportunities.
VWAP Filter: Helpful in trending conditions but may reduce trade frequency. Better to disable during range-bound or mean-reverting periods.
Large Range Filter: Critical risk management tool. When the opening range exceeds your threshold:
Skip: Avoids trades when stops would be too large
Fade: Trades mean reversion back into the range
Trade: Takes breakouts regardless (higher risk)
Range Size Considerations: Setting a large range threshold (200-400 ticks) helps avoid days when both sides of the range get tested before any meaningful breakout occurs, which often leads to whipsaws.
Risk Management Features
Dynamic Stops and Targets: All exit levels scale with the opening range size, ensuring risk/reward remains consistent regardless of daily volatility. A 100-tick range day will have proportionally smaller stops than a 300-tick range day.
Position Sizing: Configure contract amounts for each position tier based on account size and risk tolerance.
Daily Trade Limits: Prevents overtrading by limiting trades per direction per day.
Breakout Offset: The tick offset from range boundaries is crucial - too small creates false signals, too large misses good moves. Test different values based on your instrument's typical noise levels.
Advanced Features
Large Third Target: Set Target 3 to 300-500% to essentially hold runners indefinitely, using the trailing stop as the primary exit method for capturing extended trends.
Fade Trading: On large range days, the strategy can trade mean reversion when initial breakouts fail, often providing good counter-trend opportunities.
Time-Based Exits: All positions close at the end of the trading window, preventing overnight risk.
Strategy Properties Used
Initial Capital: $5,000 (realistic for micro contract trading)
Commission: $0.50 per contract (realistic retail rates)
Position Size: 100% of equity (manages risk through contract quantities and stop placement)
Default quantities: 3/1/1 contracts across the three positions
The default settings assume larger account sizes or proprietary trading firm accounts where higher risk tolerance is acceptable. With MNQ at $0.50 per tick, a typical 200-tick opening range with 75% stop loss (150 ticks) would risk $375 on a 5-contract position. For smaller retail accounts, consider reducing position sizes significantly - using only Position 1 (3 contracts) would risk $225, or even reducing to 1-2 total contracts to maintain appropriate risk levels relative to account size.
Getting Started Apply the strategy to your preferred instrument
Adjust the opening range time and duration for your market
Set appropriate breakout offset based on typical noise levels
Configure large range threshold based on your risk tolerance
Test filter combinations to find what works best for your trading style
Adjust contract quantities based on your account size and risk management rules
The strategy works best on liquid instruments with clear opening sessions and sufficient volatility to generate meaningful ranges. Results will vary significantly based on market conditions, parameter settings, and the specific instrument traded.
I warrant that the information created and published by by me here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
- Trading Bot – Dynamic RSI (Professional) - Robot Strategy -1. General Concept and Philosophy
This strategy was designed for systematic traders and work especially well on short timeframes (1 to 5 minutes), who seek to capture trend reversal movements with a high degree of confirmation. The goal is not to follow the trend, but to identify precise entry points in oversold or overbought zones, and then to exit the position dynamically to adapt to changing market conditions.
The originality of Trading Bot Dynamic RSI lies not in a single indicator, but in the intelligent fusion of several concepts:
Dynamic RSI bands for both entries and exits .
A triple confirmation filter to secure trade entries.
A fully parameterizable design ready for automation .
2. Originality at the Core of the Strategy: Key Features
Dynamic Exits on RSI Bands: This is a main original feature of this script. Unlike traditional strategies that use fixed Take-Profits and Stop-Losses, this one uses an exit RSI band, calculated with parameters independent of the entry ones. This allows the strategy to:
Adapt to Volatility: In a volatile market, the exit band will move further away, allowing for the capture of larger moves. In a ranging market, it will tighten to secure smaller gains.
Optimize Profits: The exit occurs when momentum genuinely fades, not at an arbitrary price level, thus maximizing the potential of each trade.
Triple Confirmation Filter for Precise Entries: To avoid false signals, each entry is validated by the convergence of three distinct conditions:
The base signal is generated when the price reaches an overbought or oversold zone, materialized by an RSI band calculated directly on the chart.
The WaveTrend oscillator must also be in an extreme zone, confirming that the short-term momentum is ready for a reversal.
Finally, the StochRSI must validate that the RSI itself is in an overbought or oversold condition, adding an extra layer of security.
"Automation Ready" Design: The strategy was developed with automation in mind.
Customizable Alert Messages: All messages for entries and exits (Long/Short) can be formatted to be compatible with automated trade execution platforms.
Precise Capital Management: The position size calculation can be set as a fixed amount (e.g., 100 USDT), a percentage of the total capital, or of the available capital, and includes leverage. These parameters are crucial for a trading bot.
3. Detailed Operation
Entry Logic: A position is opened only if the following three conditions are met:
The market price touches (or closes below/above) the entry RSI band (lower for a buy, upper for a sell).
The WaveTrend indicator is in the oversold zone (for a buy) or overbought zone (for a sell).
The Stochastic RSI indicator is also in the oversold zone (for a buy) or overbought zone (for a sell).
The order is placed as a limit order on the RSI band, allowing for execution at the best possible price.
Exit Logic: The primary exit is dynamic.
For a Long position, the trade is closed when the price reaches the upper exit RSI band.
For a Short position, the trade is closed when the price reaches the lower exit RSI band.
Optionally, a percentage-based Stop-Loss and Take-Profit can be activated for more traditional risk management, although the dynamic exit is the recommended default mechanism.
4. Ease of Use and Customization
Despite its internal complexity, the strategy is designed to be user-friendly :
Clear Settings Panel: Parameters are grouped by function (Long Entry, Long Exit, Quantity, etc.), and each option comes with an explanatory tooltip.
Integrated Display: All key information (performance, current settings) is displayed in clean and discreet tables directly on the chart, allowing you to see at a glance how the strategy is configured.
Total Flexibility: Although default settings are provided, every parameter (RSI lengths, levels, filters) can be adjusted to optimize the strategy on any asset (cryptocurrencies, Forex, indices...) and any timeframe.
5. Detailed Guide to User Settings
A comprehensive set of parameters
To offer you complete control and maximum flexibility, the strategy exposes a comprehensive set of parameters. Here is an overview of what you can customize:
Trading Mode and Display
Trading Mode: Choose to enable only long positions ("Long Only"), only short positions ("Short Only"), or both simultaneously ("Long and Short").
Display: Manage the information panels on the chart. You can opt for a full display, a minimal window showing the profit, or hide all information for a clean chart.
Filters Smoothing (StochRSI K)
Filters Smoothing: This key parameter adjusts the smoothing of the Stochastic RSI. A lower value will make the filter more responsive, generating more signals. A higher value will make it smoother, generating fewer but potentially more reliable signals.
LONG Position Settings
Long Only mode
Entry: Define the RSI length and Oversold level that draw the lower band for long position entries.
Exit: Independently configure the RSI length and Overbought level that draw the upper band for the dynamic position exit.
Options: Optionally enable a percentage-based Take-Profit and/or Stop-Loss.
SHORT Position Settings
Short Only Mode
Entry: Define the RSI length and Overbought level for the upper entry band for short positions.
Exit: Independently configure the RSI length and Oversold level for the lower dynamic exit band.
Options: Just like for long positions, you can enable a percentage-based Take-Profit and/or Stop-Loss.
Quantity and Leverage
Quantity Type: Calculate your position size in three ways: as a fixed cash amount, as a percentage of available capital, or as a percentage of the total account balance.
Amount: Specify the dollar amount or percentage to commit per trade.
Leverage: Set the leverage to be applied. This is crucial for automation.
Backtest Period
Backtest Period: Enable this option to limit the strategy's calculations to a specific time period. This is a powerful tool for testing performance under particular market conditions.
Bot Alert Messages
Bot Alert Messages: This section is dedicated to automation. Customize the exact text messages that will be sent by TradingView alerts for each event (enter long, exit long, etc.).
Other Settings (Advanced - Optional)
Other Settings: This section allows experienced users to fine-tune the confirmation engine. You can adjust the parameters of the WaveTrend and Stochastic RSI oscillators in detail.
Spread Calculator (Informative Only)
Spread Calculator: This handy tool helps you estimate the actual fees of your exchange to run a much more realistic backtest. This panel has no impact on the trading logic itself.
Disclaimer
This strategy provides signals based on past market conditions. Past performance is not indicative of future results. Trading involves risk, and it is the responsibility of each user to manage their risk appropriately. It is strongly recommended to conduct thorough backtests and to understand the functioning of each parameter before using this strategy in live conditions or automating it. Take into account transaction fees, spread, and slippage, which can impact real results.
PowerTrend Pro Strategy – Gold OptimizedTired of false signals on Gold?
PowerTrend Pro combines VWAP, Supertrend, RSI, and smart MA filters with trailing stops & break-even logic to deliver high-probability trades on XAUUSD.
PowerTrend Pro Strategy is a professional-grade trading system designed to capture high-probability swing and intraday opportunities on XAUUSD (Gold) and other volatile markets.
🔑 Core Features
VWAP Anchoring – institutional fair value reference to filter trades.
Supertrend (ATR-based) – adaptive trend filter tuned for Gold’s volatility.
Multi-Timeframe RSI – confirms momentum alignment across intraday and higher timeframe.
EMA + SMA Combo – ensures trades follow strong directional bias, reducing false signals.
Dynamic Risk Management
Adjustable Take Profit / Stop Loss (%)
Trailing Stop that locks in profits on extended moves
Break-Even Logic (stop loss moves to entry once price is in profit)
⚡ Gold-Tuned Presets
XAUUSD 1H → tighter TP/SL & faster entries for active intraday trading.
XAUUSD 4H → wider ATR filter & trailing stops to capture bigger swings.
Generic Mode → works on Forex, Indices, and Crypto (fully customizable).
🎯 Why It Works
Gold is notoriously volatile — quick spikes wipe out weak strategies. PowerTrend Pro solves this by combining:
✅ Institutional bias (VWAP)
✅ Adaptive trend filter (Supertrend)
✅ Momentum confirmation (RSI MTF)
✅ Robust trend structure (EMA + SMA)
✅ Smart exits (TP, SL, trailing & breakeven)
This multi-layer confirmation makes entries stronger and keeps risk under control.
🛠️ Usage
Add the strategy to your chart.
Choose a preset (XAUUSD 1H, 4H, or Generic).
Run Strategy Tester for performance metrics.
Optimize TP/SL and ATR values for your broker & market conditions.
🔥 Pro Tip: Combine this strategy with a session filter (London/NY overlap) or volume confirmation to boost accuracy in Gold.
MomentumThe strategy uses EMA200, ADX/DMI, RSI, and volume. Pivot levels and Heikin-Ashi ensure safe entries, while cooldowns and opposite-locks prevent overtrading. Exits are managed with ATR trailing stops and trend-reversal signals.
FFI-Trend Rider ProFFI-Trend Rider Pro is a trend-following strategy designed to help traders make more structured and disciplined entries.
It uses a crossover between the 11 EMA and 21 SMA to detect potential trend shifts, while avoiding premature entries by checking how far the price is from the moving averages. If the price is extended, it waits for a pullback — just like professional traders do.
The indicator also includes:
Auto stoploss based on 21 SMA
Visual background colors based on RSI to help gauge trend strength
A built-in trade info table showing current trade type, entry price, stoploss, and trailing SL
Strategy-enabled functionality for easy backtesting
🔍 Ideal For:
Intraday & Swing Traders
Traders who want fewer, high-quality trades
Anyone looking to reduce emotional decision-making
⚠️ Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always do your own analysis before making any trading decisions. Past performance is not indicative of future results.
Adaptive MVRV & RSI Strategy V6 (Dynamic Thresholds)Strategy Explanation
This is an advanced Dollar-Cost Averaging (DCA) strategy for Bitcoin that aims to adapt to long-term market cycles and changing volatility. Instead of relying on fixed buy/sell signals, it uses a dynamic, weighted approach based on a combination of on-chain data and classic momentum.
Core Components:
Dual-Indicator Signal: The strategy combines two powerful indicators for a more robust signal:
MVRV Ratio: An on-chain metric to identify when Bitcoin is fundamentally over or undervalued relative to its historical cost basis.
Weekly RSI: A classic momentum indicator to gauge long-term market strength and identify overbought/oversold conditions.
Dynamic, Self-Adjusting Thresholds: The core innovation of this strategy is that it avoids fixed thresholds (e.g., "sell when RSI is 70"). Instead, the buy and sell zones are dynamically calculated based on a long-term (2-year) moving average and standard deviation of each indicator. This allows the strategy to automatically adapt to Bitcoin's decreasing volatility and changing market structure over time.
Weighted DCA (Scaling In & Out): The strategy doesn't just buy or sell a fixed amount. The size of its trades is scaled based on conviction:
Buying: As the MVRV and RSI fall deeper into their "undervalued" zones, the percentage of available cash used for each purchase increases.
Selling: As the indicators rise further into "overvalued" territory, the percentage of the current position sold also increases.
This creates an adaptive system that systematically accumulates during periods of fear and distributes during periods of euphoria, with the intensity of its actions directly tied to the extremity of market conditions.
EDWARDS 3MIN DOW STRATEGYSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
Institution Accumulation/DistributionLeveraging the Williams%R oscillator, the script has been optimized to pick out key turning point in the market specifically at Resistance (Overbought) or Support (Oversold)
The algo has been programmed to print both buy and sell alerts at extremes/when conditions flip eg a long position will be closed simultaneously opening a short position above resistance.
Best used as a scalping tool targeting 30m and below works well with currency pairs
Ultimate Bot v5 (Full Visual + Reversal + Sustained Signals)Ultimate Bot v5 is a powerful, all-in-one Pine Script strategy designed for traders who want both clarity and precision in their charts. It combines classic momentum indicators, volatility filters, and reversal logic to highlight high-probability trade opportunities.
🔹 Key Features
Full Visual Mode – Clean and easy-to-read buy/sell markers with large arrows and labels.
EMA Trend Detection – Fast & slow EMA crossovers for trend direction.
RSI + MACD Confirmation – Confirms entries with momentum & strength checks.
Reversal Alerts – Detects sharp drops or spikes for rebound/reversal plays.
Sustained Signal Mode – Highlights stronger continuation trends, not just short-term flips.
ADX Strength Filter (optional) – Filters out weak/noisy signals during sideways markets.
ATR Dynamic Positioning – Arrows adapt to volatility so they’re always visible.
Custom Alerts – Works with TradingView alerts for buy, sell, and reversal signals.
🔹 Why Use It?
This bot is designed to help traders:
✅ Spot early reversals and potential bounce opportunities
✅ Confirm strong momentum moves with multi-indicator checks
✅ Avoid false signals in choppy markets
✅ Trade with confidence using visual clarity
TrendPilot AI v2 — Adaptive Trend Day Trading StrategyOverview
TrendPilot AI v2 is a structured, rules-based day trading strategy that identifies and follows market momentum using a sophisticated blend of technical indicators. Optimized for 15-minute and higher timeframes on high market cap cryptocurrencies (AAVE, SOL, ETH, BCH, BTC) to minimize manipulation risks, it adapts to changing market conditions with dynamic risk management and controlled re-entry logic to maximize trend participation while minimizing noise.
Core Logic
Multiple EMA Trend Confirmation — Uses three Exponential Moving Averages (fast, medium, slow) to detect robust bullish, bearish, or neutral trends, ensuring trades align with the prevailing market direction.
ADX Momentum Filter — Employs an ADX-based filter to confirm strong trends, avoiding entries in choppy or low-momentum markets.
Smart Entry Filter — Optional ATR-based buffer (period 14, multiplier 1.5) around the fast EMA prevents entries at overextended prices, enhancing trade precision.
Flexible Exit System — Offers multiple exit options: fixed take-profit (default 1.7 offset), trend-reversal exits, or ATR-based trailing stops (period 14, multiplier 2.0), with secure modes requiring candle closes for confirmation to gain Max Profit.
Controlled Re-Entry Logic — Allows re-entries after take-profit or price-based stop-loss with configurable wait periods (default 6 bars), max attempts (default 2), and EMA touch requirements (fast, medium, or slow).
State-Aware Risk Management — Tracks trend states and recent exits to adapt entries, with daily trade limits (default 5 long/short) and loss cooldowns (default 2 stop-losses) for disciplined trading.
How to Use & Configuration
Markets & Timeframes
Works with high market cap cryptocurrencies (AAVE, SOL, ETH, BCH, BTC).
Optimized for intraday charts (15m–4h) but adaptable to higher timeframes (e.g., 1h, 4h).
Trade Direction Settings
Dual Trades — Trades both long and short, quickly re-aligning after trend reversals.
Long Only — Ignores bearish signals, ideal for bullish markets or strong uptrends.
Short Only — Ignores bullish signals, suited for bearish markets or downtrends.
Risk Management Settings
Stop Loss Types
Trend Reversal — Closes positions when an opposite trend signal is confirmed (default).
Fixed Offset — Static stop at 3.5 offset from entry price (adjustable).
ATR Based — Dynamic trailing stop using ATR (period 14, multiplier 2.0), adjusting to market volatility.
Secure SL Mode — Optional setting to trigger price-based stops only on candle closes, reducing false exits.
Maximum recommended risk per trade is 5–10% of account equity.
Trade size is configurable (default 20 units) to match individual risk appetite.
Take Profit Options
Fixed Offset — Predefined target at 1.7 offset from entry (adjustable, e.g., 2.5 for SOL).
Secure TP Mode — Exits only when a candle closes beyond the target, ensuring reliable profit capture.
Trend Reversal — Exits on opposite trend signals when fixed TP is disabled, ideal for riding longer trends.
Trade Management Controls
Smart Entry Filter — Optional ATR-based buffer (period 14, multiplier 1.5) prevents chasing overextended prices.
Max Re-Entries — Limits continuation trades per trend cycle (default 2).
Daily Trade Limits — Caps long/short trades per day (default 5 each) for disciplined trading.
Daily Loss Cooldown — Pauses trading after a set number of stop-losses (default 2) per day.
Max Bars in Trade — Closes positions after a set duration (default 1440 bars) to prevent stale trades.
Configuration Steps
Apply the strategy to your chosen symbol (e.g., AAVE/USDT, SOL/USDT) and timeframe (15m or higher).
Select Trade Direction mode (Dual, Long Only, or Short Only).
Set Stop Loss (Trend Reversal, Fixed Offset, or ATR Based) and Take Profit (fixed or trend-reversal).
Adjust Smart Entry Filter, Max Re-Entries, Daily Limits, and Loss Cooldown as needed.
Test across multiple market conditions using the performance panel (top-right, showing Total Trades, Wins, Losses, Win Rate).
Enables automated trading via webhook integration with platforms like Binance Futures.
Set up alerts for long/short entries (🟢 Long, 🔴 Short) and exits (🎯 Max TP, 🛑 Max SL, 🚨 Force Exit).
Backtesting Guidance
Use realistic commission (default 0.01%) and slippage (default 2 ticks) matching your broker and instrument.
Validate performance over long historical periods (e.g., 3–6 months) to ensure >100 trades across different market regimes.
Avoid curve-fitting by testing on multiple high market cap coins (AAVE, SOL, ETH, BCH, BTC) and avoiding over-optimization.
EMA and ATR parameters are set to balanced, industry-standard values for realistic backtesting.
Best Practices, Defaults & Disclaimer
Best Practices
Use consistent and conservative position sizing (default 20 units).
Match commission and slippage to your broker’s actual rates.
Enable secure TP/SL modes for entries and exits to reduce false signals.
Test across different symbols, timeframes, and market phases before live trading.
Keep parameters simple to avoid overfitting.
Default Settings (Recommended Starting Point)
Initial Capital: $10,000
Order Size: Fixed, 20 units
Commission: 0.01%
Slippage: 2 ticks
Take Profit Offset: 1.7 (adjustable, e.g., 2.5 for SOL)
Stop Loss Type: Trend Reversal (default), Fixed Offset (3.5), or ATR Based (period 14, multiplier 2.0)
Smart Entry Filter: ATR period 14, multiplier 1.5 (optional)
Max Re-Entries: 2 per trend cycle
Daily Trade Limits: 5 long, 5 short
Daily Loss Cooldown: 2 stop-losses
Max Bars in Trade: 1440 bars
Subscription Information
TrendPilot AI v2 is an invite-only strategy, accessible only to approved subscribers.
Benefits include full access to all features, priority support, and regular updates.
Access is limited to ensure a high-quality user experience.
Compliance Status
No functional warnings in the script.
The script uses closed candle logic, ensuring no repainting or lookahead issues.
Designed for realistic backtesting with a $10,000 account and sustainable risk (≤5–10% per trade).
Disclaimer
This strategy is intended for educational and analytical purposes only. Trading involves substantial risk, and past performance does not guarantee future results. You are solely responsible for your own trading decisions and risk management.
Developed by: TrendPilotAI Team
For questions, setup guidance, or enhancement suggestions, contact TrendPilotAI Team via TradingView.
Nifty Power -> Nifty 50 chart + EMA of RSI + avg volume strategyThis strategy works in 1 hour candle in Nifty 50 chart. In this strategy, upward trade takes place when there is a crossover of RSI 15 on EMA50 of RSI 15 and volume is greater than volume based EMA21. On the other hand, lower trade takes place when RSI 15 is less than EMA50 of RSI 15. Please note that there is no stop loss given and also that the trade will reverse as per the trend. Sometimes on somedays, there will be no trades. Also please note that this is an Intraday strategy. The trade if taken closes on 15:15 in Nifty 50. This strategy can be used for swing trading. Some pine script code such as supertrend and ema21 of close is redundant. Try not to get confused as only EMA50 of RSI 15 is used and EMA21 of volume is used. I am using built-in pinescript indicators and there is no special calculation done in the pine script code. I have taken numbars variable to count number of candles. For example, if you have 30 minuite chart then numbars variable will count the intraday candles accordingly and the same for 1 hour candles.
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close