Parepalli DTB StrategyShanker Parepalli DTB Strategy
How it forms:
First Trough: Price drops and rebounds.
Second Trough: Price drops again, finds support near the previous low, and rises.
Neckline: A resistance level at the high between the two lows.
Breakout: Confirmed when price breaks above the neckline.
Trading Strategy:
Entry: Buy when price breaks above the neckline.
Stop-Loss: Just below the second bottom.
Target: Measure the height from the bottoms to the neckline, and add it above the neckline.
Göstergeler ve stratejiler
Auto Trend Bot with AlertsBest Entry Identification (automated)
Target Setting (predefined, automated)
Stop Loss Placement (automated, predefined)
Fake Signal Detection
Trap Zone Identification
Sideways Zone Detection
La mia strategiaMy strategy is based on the trend reversal that occurs when the exponential moving averages finally cross.
TURKER-1.0This strategy utilizes Markov Chains to model and predict price state transitions based on historical market behavior. By defining two states – "up" (price increase) and "down" (price decrease) – the strategy calculates probabilities of transitioning between these states over a defined lookback period.
When these probabilities exceed a user-defined threshold, it generates buy or sell signals. This approach leverages probabilistic trends rather than fixed indicators, allowing for a dynamic and data-driven trading decision process.
The Markov Chain strategy is ideal for traders who want to incorporate statistical probability and historical price behavior into their trading models. Only for large market cap companies.
advanced conceptsupdated display image.
original description:
The advanced concepts - fibonacci forward mapping tool is a final mock up of works completed in 2025. It is primarily an Artificial Neural Network commonly found on TradingView, however built with a variety of adaptations.
Credits go to a multitude of people: (1) Pine Reference Manual (2) Stack Overflow (3) resources found on the internet (4) Artificial Neural Network coders on TradingView.
This script is being released because it has accidentally become useful in the form of providing a way of identifying fibonacci patterns on charts. Simply plot two points between two strategy entries and minus the two numbers to get a resultant number, and see if it fits in with your fibonacci strategy.
Resultant numbers could be: 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144 and so on.
It doesn't usually matter so much if you do not get a fibonacci number, you just have to be close to it.
Thank you to all of those people who have published scripts on the TradingView website. I have inadvertently utilised examples of others, code in the script I have completed.
Single strategy for 3 coins - TestingSingle strategy for 3 coins - Testing
This strategy is designed as a robust, research-driven solution for multi-asset trading, with a focus on adaptability, risk management, and performance consistency across diverse market conditions. It is the result of extensive development, iterative testing, and careful parameter optimization.
Key Features
Multi-Asset Compatibility:
The strategy is engineered to operate seamlessly across multiple coins or assets, making it suitable for portfolio-level deployment and comparative backtesting.
Tested Coins:
BTC/USD INDEX, ETH/USD BITSTAMP and SOL/USD BINANCE 4H Timeframe
Dynamic Entry & Exit Logic:
Advanced, multi-layered entry and exit mechanisms are employed to capture favorable trends while minimizing exposure to adverse market moves. The logic is designed to adapt to changing volatility and price structure.
Comprehensive Filtering:
Multiple proprietary filters are integrated to enhance signal quality, reduce noise, and avoid common pitfalls such as choppy or range-bound conditions. These filters work in tandem to improve the robustness of trade selection.
Risk Management:
The strategy incorporates built-in risk controls, including dynamic position sizing, stop mechanisms, and capital allocation rules, aiming to preserve equity and manage drawdowns effectively.
Parameter Optimization:
All parameters have been carefully selected and stress-tested over a wide range of historical data to ensure generalizability and to avoid overfitting to any specific market regime.
Non-Repainting & Real-Time Ready:
The logic is constructed to operate in real-time environments, with safeguards against repainting and lookahead bias, ensuring that all signals are actionable as they occur.
Performance Visualization:
The strategy provides clear equity curve visualization and trade tracking, allowing for transparent performance assessment and easy integration into broader trading workflows.
Usage Notes
This script is intended for educational and research purposes.
Users are encouraged to conduct their own due diligence and forward testing before deploying in live trading environments.
The strategy is designed to be plug-and-play, requiring minimal configuration for BTC/USD INDEX, ETH/USD BITSTAMP and SOL/USD BINANCE 4H.
Disclaimer
Past performance is not indicative of future results. Trading involves risk, and this strategy does not constitute financial advice. Use at your own discretion.
Contact: You may contact me on Telegram for any comments or strategy enhancement
t.me
🎯 Random BTC strategy that beats buy and hold with .1% fees and 2 ticks of slippage. feel free to use for fun and make that money! it uses a noisy MA to make random trades at a cross then longs and uses rsi denoised for TP (tip) this strategy was vibe coded to the max lol
🎯 Random This strategy uses random number generator methods to create a noisy MA to create a cross then buy and tp with the price action that is presented within the chart. use on the 30m tf and it beats fees and slippage. 2 ticks which is plenty for xau given it having 10B+ of volume and thin OB. This trades xau on the low tf and works well with fees and 2 ticks .007% fees enjoy
EMA 8/20 Crossover Strategyiqhe mM23// SPDX-License-Identifier: MPL-2.0
//@version=5
strategy("EMA 8/20 Crossover Strategy", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// EMA Definitions
ema8 = ta.ema(close, 8)
ema20 = ta.ema(close, 20)
// Buy condition: EMA 8 crosses above EMA 20
longCondition = ta.crossover(ema8, ema20)
if (longCondition)
strategy.entry("Buy", strategy.long)
// Sell condition: EMA 8 crosses below EMA 20
shortCondition = ta.crossunder(ema8, ema20)
if (shortCondition)
strategy.entry("Sell", strategy.short)
// Plot EMAs
plot(ema8, title="EMA 8", color=color.orange)
plot(ema20, title="EMA 20", color=color.blue)
PMA Cross [LePasha]Strategy Overview: Trading with the LePasha Moving Average (PMA)
This strategy is built upon the LePasha Moving Average (PMA) — a custom-designed moving average indicator that offers advanced adaptability to market conditions. Unlike traditional moving averages such as SMA or EMA, the LePasha PMA integrates volatility and momentum sensitivity through a sophisticated calculation involving ATR normalization and adaptive smoothing. This results in a moving average that is both smooth and highly responsive to price action.
You can explore the full PMA indicator here on TradingView:
Core Strategy Logic
The trading algorithm takes positions based on price crossing the PMA line:
Long trades trigger after the price stays above the PMA for a predefined number of bars, confirming an upward trend.
Short trades trigger after the price stays below the PMA for the same confirmation period, indicating a downtrend.
This confirmation period filters out noise and false breakouts, allowing trades to be placed only when the trend is likely stable.
Performance Insights and Practical Impact
Backtests reveal that this PMA-based strategy achieves a win rate exceeding 70%, which is a strong edge in trading. To contextualize:
A trader using a risk-to-reward ratio of 1:2 (risking 1 unit to gain 2 units) needs at least a 34% win rate just to break even.
Achieving more than 70% wins means the strategy is not only profitable but robust, offering significant statistical confidence for traders.
Why Incorporate the LePasha PMA into Your Trading System?
Higher Win Probability: The PMA’s volatility-adjusted smoothing reduces whipsaws, resulting in fewer losing trades.
Adaptivity: Unlike fixed-length MAs, the PMA adapts dynamically to market volatility and momentum, making it suitable across different asset classes and timeframes.
Improved Entry Signals: By confirming the trend direction over multiple bars, it ensures higher-quality trade entries and reduces premature signals.
Conclusion
The LePasha Moving Average (PMA) represents a meaningful advancement in moving average design. Integrating this indicator into your trading algorithm can significantly enhance your edge, increasing both win rate and consistency. Whether used alone or alongside other tools, the PMA’s unique methodology and strong backtested results offer traders a powerful resource for navigating markets effectively.
Discover more and try the PMA indicator here:
🔗
EMA Crossover + Trend + Strong Candle StrategyEMA Crossover + Trend Filter + Strong Candle Strategy
This strategy is designed to capture clean trend-following entries based on:
A crossover of a short-term EMA above or below a mid-term EMA
Trend confirmation using a higher timeframe EMA (default: 200)
A strong confirmation candle with a configurable minimum body size (% of the total candle range)
Buy Conditions:
EMA 8 crosses above EMA 21
Price, EMA 8, and EMA 21 are all above EMA 200
A strong bullish candle forms within the next few bars (configurable)
Sell Conditions:
EMA 8 crosses below EMA 21
Price, EMA 8, and EMA 21 are all below EMA 200
A strong bearish candle forms within the next few bars
Trade Management:
Includes adjustable Take Profit and Stop Loss in points
Backtestable with full strategy performance metrics
✅ Best suited for scalping or intraday trend setups on liquid assets (e.g., MNQ, NQ, SPY, BTC)
📈 Tested on 1-minute and 5-minute charts for high-frequency entries
Hook Signal Strategy [ALGOSTAR]Pivot Detection: Finds daily pivot highs (“Peak”) and pivot lows (“Trough”) based on user-defined bar distance.
Timeframe Selection: Optionally use a higher timeframe for pivot calculation.
Daily Reset: Ensures only the first pivot of each type per local day triggers a signal.
Entry Rules:
Long when a new daily Trough appears.
Short when a new daily Peak appears.
Auto-Close: Existing opposite position is closed before opening a new one.
Customizable Inputs: Pivot Distance, Detection Timeframe, UTC Offset, and Label Size.
Hook Signal Strategy [ALGOSTAR]Pivot Detection: Finds daily pivot highs (“Peak”) and pivot lows (“Trough”) based on user-defined bar distance.
Timeframe Selection: Optionally use a higher timeframe for pivot calculation.
Daily Reset: Ensures only the first pivot of each type per local day triggers a signal.
Entry Rules:
Long when a new daily Trough appears.
Short when a new daily Peak appears.
Auto-Close: Existing opposite position is closed before opening a new one.
Customizable Inputs: Pivot Distance, Detection Timeframe, UTC Offset, and Label Size.
Rabobtrade EMA Crossover (Wait for Pullback)ชื่อกลยุทธ์: Rabobtrade EMA Crossover (รอย่อตัวกลับก่อนเข้าซื้อ)
แนวคิดหลัก:
กลยุทธ์นี้ออกแบบมาเพื่อ ลดความเสี่ยงจากการเข้าออร์เดอร์ทันทีหลัง EMA ตัดกัน โดยจะ:
ใช้เส้น EMA เร็ว (Fast EMA) และ EMA ช้า (Slow EMA) เพื่อตรวจจับแนวโน้ม
เมื่อ EMA เร็วตัด EMA ช้า จะถือว่าเป็นสัญญาณการเปลี่ยนเทรนด์
แต่ ยังไม่เปิดออร์เดอร์ทันที – รอก่อน
รอให้ ราคาย่อตัวกลับมาแตะ EMA เร็ว (Fast EMA) แล้วค่อยเปิดออร์เดอร์ Buy หรือ Sell ตามทิศทาง
ตั้งค่า Take Profit (TP) และ Stop Loss (SL) ได้ตามที่ผู้ใช้กำหนด
Strategy Explanation (English)
Strategy Name: Rabobtrade EMA Crossover (Wait for Pullback)
Core Concept:
This strategy is designed to avoid entering trades immediately after an EMA crossover, by waiting for a pullback to the fast EMA before executing an entry.
How It Works:
It uses a Fast EMA and a Slow EMA to identify trend changes.
When the Fast EMA crosses above the Slow EMA, it's a bullish signal.
When the Fast EMA crosses below the Slow EMA, it's a bearish signal.
Instead of entering a trade right away, the strategy waits for the price to pull back and touch the Fast EMA again.
Once the price touches the Fast EMA after the crossover, it enters a Buy or Sell trade accordingly.
The trade is managed using Take Profit (TP) and Stop Loss (SL), which can be defined in points or as profit/loss.
Rabobtrade EMA Crossover Strategy📘 Rabobtrade EMA Crossover Strategy – Explanation
The Rabobtrade EMA Crossover Strategy is a simple yet effective trend-following trading strategy designed for use in TradingView. It utilizes two Exponential Moving Averages (EMAs) to identify potential market trend reversals and execute trades accordingly.
📈 Core Concept:
The strategy is based on the crossover of two EMAs:
Fast EMA (default: 20)
Slow EMA (default: 50)
📊 Trade Entry Logic:
Buy Signal:
A Buy order is triggered when the Fast EMA crosses above the Slow EMA. This indicates a potential upward trend or bullish momentum.
Sell Signal:
A Sell order is triggered when the Fast EMA crosses below the Slow EMA. This suggests a potential downward trend or bearish momentum.
These crossover points act as entry signals and are commonly used in momentum and trend-trading strategies.
💼 Risk Management:
The strategy includes customizable risk controls:
Take Profit (TP): You can define how far the price should move in your favor before taking profit.
Stop Loss (SL): You can limit your risk by specifying how much price movement against your position is acceptable.
Both TP and SL can be configured in:
Points/Pips (relative to market tick size), or
Absolute profit/loss values
This makes the strategy flexible and suitable for various markets including forex, crypto, and stocks.
⚙️ Customization Options:
Adjustable Fast and Slow EMA lengths
Selectable line color, width, and style
Option to switch between TP/SL in pips or fixed profit/loss
Fully backtestable with TradingView's strategy tester
✅ Ideal For:
Trend traders looking for clear entry signals
Beginners who want a simple and visual trading system
Traders who want built-in TP/SL control with no complex indicators
MA Cross Color Strategy + Swing SL + ATR TPThis Pine Script strategy, "MA Cross Color Strategy + Swing SL + ATR TP," trades based on CCI (Commodity Channel Index) signals. It enters long positions when CCI (14) crosses above 100 and short positions when CCI (14) crosses below -100.
Stop Loss (SL) is dynamically set at a significant swing low (for longs) or swing high (for shorts) occurring before the preceding Moving Average cross. Take Profit (TP) is calculated using an ATR (Average True Range) multiplier. The strategy also uses two MAs for visual trend indication and optional display of CCI trend dots, entry labels, and SL/TP levels.
Nifty50 Option Breakout (5m) – Long & Short StrategyCheck for pullback and breakout of first 5 mins candle (Nifty50)
Pattern Recognition Engine v3.0 – MTF + Signal ScoreStrategy Overview
This script is a multi-timeframe pattern recognition system engineered for high-performance intraday trading. Designed for scalpers who prioritize signal confluence, risk control, and structured execution :
Real-time pattern detection
Signal scoring based on market structure alignment
Session IQ Filtering™ – a proprietary filter that isolates trades to the most liquid and statistically favorable intraday windows.
Key Components
Multi-Pattern Recognition: Identifies pullbacks, double tops, and double bottoms without repainting.
Signal Confidence Scoring: Each signal is rated 0–3 based on pattern quality, MTF trend confirmation, and structure alignment.
Session IQ Filter™: Focuses execution within two strategic windows—9:30–11:00 AM and 1:30–3:30 PM EST—to minimize noise and maximize precision.
Volatility-Adaptive TP/SL: Uses real-time ATR logic to dynamically size exits.
Cooldown Protection: Limits signal stacking during volatile conditions to reduce overtrading and false positives.
15m SMA Overlay: Serves as the trend validation anchor for all lower timeframe decisions.
Recommended Timeframes
Signal Execution: 1m, 2m, 5m
Trend Confirmation: 15m (customizable)
ThunderBirdThunderbird Long Divergence Strategy – NinjaTrader
The Thunderbird Divergence Strategy is built upon the original divergence formula long used in NinjaTrader, and is the foundation behind many of the RockBot signals developed for DayTradingRadio. Unlike the SuperSignalQuad, the Thunderbird does not require the quad rotation confluence across multiple stochastic timeframes to trigger. This allows the strategy to fire more frequently—offering traders significantly more opportunities while still maintaining the high-probability entry criteria that makes divergence-based strategies so effective.
This has been one of the most requested strategy formats from traders who enjoy the accuracy of the SuperSignal but prefer more trade frequency and reduced signal filtering. If you're looking for a more active version of the proven divergence system, Thunderbird delivers.
Underlying Methodology and Concept:
At the heart of the Thunderbird is a proprietary stochastic divergence detection algorithm that has been refined over 17 years of live trading. It identifies key momentum shifts by comparing price action to oscillator movement, isolating true divergence setups without waiting for all four stochastic bands to align across timeframes (as in the SuperSignalQuad). This makes Thunderbird highly responsive to intraday conditions and ideal for scalpers and momentum traders who want to stay in the action.
Why It’s More Active:
No Quad Rotation Required: Eliminating the multi-timeframe stochastic confirmation layer increases the number of valid divergence signals.
Earlier Entries: Signals often trigger at the start of momentum pivots—offering better positioning and more trade setups.
Ideal for Fast Markets: Performs well in choppy or moderately trending environments where quad confirmation may lag.
Key Features and Benefits:
User-defined Parameters:
Take Profit 1 = e.g., 4 ticks
Take Profit 2 = e.g., 12 ticks
Take Profit 1 Lot = Number of contracts sold at first target
Take Profit 2 Lot = Number of contracts sold at second target
Stop Loss Ticks = Fixed tick-based stop
Trailing Start Ticks = Profit threshold before trailing activates
Trailing Stop Ticks = Trailing distance from price
Lot = Total contracts entered per trade
Stop Loss Options:
Signal Bar Low: Stop is placed under the divergence low candle that triggered the signal.
Fixed Ticks: A stationary stop loss based on your defined tick amount.
Enhanced Trade Frequency: More divergence entries compared to the SuperSignal due to less restrictive criteria.
Built for Futures but Adaptable: While developed for instruments like the ES and NQ, Thunderbird works seamlessly across other asset classes including stocks and crypto.
Great for Scalping and Intraday Trading: Especially effective on fast-paced charts and during active trading sessions.
How to Use the Thunderbird Strategy:
Identify Market Conditions:
The strategy works best during active trading hours. While it doesn’t require multi-timeframe confluence, using Thunderbird with overall trend direction can improve results.
Adjust Your Settings:
Use the strategy parameters to define your desired profit targets, stop loss types, and trailing behavior. You can fine-tune for aggressive scalping or broader intraday swings.
Choose Your Chart Type:
Recommended Time Frames:
1-minute, 3-minute, and 5-minute charts
300-tick and 1000-tick charts
1000-volume chart
Monitor the Bot:
The strategy does not filter out trades during news or abnormal volatility. Always be aware of major events and consider pausing or tightening stops during these times.
Combine with Trend Tools:
Although Thunderbird does not rely on trend alignment, pairing it with your preferred trend indicator (like moving averages or VWAP) can help filter for higher quality setups.
Summary:
The Thunderbird Divergence Strategy is your go-to tool when you want the precision of a divergence-based entry system without the delay of waiting for multi-timeframe agreement. It’s faster, more flexible, and ideal for traders who want more setups throughout the day while still benefiting from the core logic that powers the SuperSignalQuad.
Whether you're trading ES, NQ, RTY, or even crypto and stocks—Thunderbird gives you the edge of early momentum recognition, refined through years of real-time trading application.
PowerZone Extension Strategy by DesziThe Powerzone Extension Strategy is a precision-based intraday system that combines price action zones, volume pressure, RSI trend confirmation, and Heikin Ashi or candlestick structure to deliver high-conviction entries at optimal trade zones. Designed for both new and experienced traders, this strategy aims to capture explosive moves from discount to equilibrium to premium with minimal drawdown and strong profit consistency.
Performance Insight:
Backtest Accuracy: Up to 93% historical trade accuracy in optimized market conditions.
Clean Equity Curve: Designed for stable compounding and scalable position sizing.
Profit Factor: Strong balance between win rate and risk-reward for consistent account growth.
💼 Ideal For:
Futures Traders (e.g., MNQ, ES, NQ)
Scalpers & Intraday Swing Traders
Traders looking for defined structure, not reactive noiseAuthor's instructions
✅ Zero-line momentum entries ✅ Custom zone colors ✅ Optional VXN/VIX filters ✅ Entry alerts included Best used with PowerZone RSI for full confirmation setup. 🔒 Access: deszi@atldarkinvestments.com 🌐 atldarkinvestments.com 📊 @Atldatk31
PowerZone Momentum Strategy v1.6 – ATL DarkATL Dark Labs | Signature zero-line crossover strategy powered by triple-smoothed slope momentum.
Built to identify inflection zones with dynamic color feedback. Momentum entries trigger on zero crossover, optionally confirmed by volatility (VXN/VIX).
• RSI-centered confluence-ready
• Color-coded zone logic
• Optional volatility filter
• Entry alerts included
Best used in tandem with the PowerZone RSI and hybrid overlays for stacked confirmation and max timing precision.
Invite-only script
Access to this script is restricted. Users can favorite it, but usage requires your permission. Please provide clear instructions for requesting access, including your contact information.
Note that this private, invite-only script has not been reviewed by script moderators, and its compliance with House Rules is undetermined.
Author's instructions
✅ Zero-line momentum entries ✅ Custom zone colors ✅ Optional VXN/VIX filters ✅ Entry alerts included Best used with PowerZone RSI for full confirmation setup. 🔒 Access: deszi@atldarkinvestments.com 🌐 atldarkinvestments.com 📊 @Atldatk31
Syntropy Accumulation SystemGRATIS POR 5 DIAS SOLAMENT
FREE FOR 5 DAYS ONLY
The Syntropy Accumulation System is a sophisticated, multi-timeframe algorithmic trading strategy meticulously designed to identify and capitalize on unique market inefficiencies. This system operates by intelligently combining insights from foundational price action patterns with dynamic volume and price flow analysis, providing a nuanced perspective on market sentiment and potential accumulation zones.
How the System Works:
At its core, the Syntropy Accumulation System employs a robust dual-confirmation approach. It leverages a "Pattern Genesis" module that scrutinizes higher timeframe price data to detect specific structural formations indicative of potential reversals or strong underlying accumulation. This module is designed to filter out noise and identify only the most compelling price symmetries.
Concurrently, a "Flux Anomaly" module analyzes a combination of price and volume behavior across different timeframes to detect divergences and shifts in market momentum. This component is crucial for confirming the strength and authenticity of the signals generated by the Pattern Genesis, ensuring that entries are aligned with genuine shifts in supply and demand rather than fleeting fluctuations.
When both the "Pattern Genesis" and "Flux Anomaly" modules align, the system generates a high-conviction "Double Entry" signal, aiming for optimal positioning. Beyond initial entries, the Syntropy Accumulation System incorporates advanced "Reentry" logic. This adaptive mechanism is designed to identify opportunistic re-entry points after initial long positions, specifically looking for specific price retracements and wick patterns that suggest renewed buying interest or a "retest" of critical levels. This allows for strategic scaling into positions, enhancing capital efficiency.
The strategy also includes a customizable profit-taking mechanism, allowing users to define their desired profit targets. The integrated performance dashboard provides real-time insights into trade statistics, including closed and open P&L, average entry prices, and invested capital, enabling comprehensive analysis of the system's performance.
🔥 Grid Long & Short StrategyA dual-directional breakout grid strategy combining precision entries with dynamic scaling, designed for scalping and swing trading in both bullish and bearish market conditions.
🚀 Best performance observed on XAU/USD (Gold) – 1H Timeframe
💡 Core Highlights:
✅ EMA + RSI + Volume Filtered Entries: Only trades when momentum and volume align with trend direction.
📊 Dynamic Grid Scaling: Uses ATR-based spacing with expansion factor to smartly average entries across price dips or spikes.
🚀 Dual Strategy Logic: Independently handles Long and Short grids, ensuring constant market adaptability.
🎯 Multi-Layered Risk Management:
Fixed % Stop Loss and Take Profit
ATR-based Trailing Stop for profit locking
One-click Max Grid Control to manage position sizing
📈 High Probability Entries:
Ema crossover + RSI + Volume Spike → Long/Short
⚙️ Customization Parameters:
Grid Expansion Control (Grid Expand, Max Levels)
Risk Management Settings (Fixed SL/TP, ATR-based trailing)
Entry Filters (EMA, RSI, Volume Threshold, ATR Multiplier)
