4H Rejection + 2x15m Delta StrategyThis strategy uses rejections levels on different timeframes (you can change this in the settings) to identify the possibility of a price reaction or movement in the opposite side and potentially getting involved.
The confirmation for an entry signal is the volume and specifically the total delta of the candles after tabbing the rejection level on that specific time frame.
The delta has to show 2 positive candles for a buy at a support level, or 2 negative candles for a sell at a resistance level.
The strategy is quite flexible as it gives you the chance to adjust a lot of the things within the settings.
You can play around with the time frames in which you want to get your confirmation for the signal, as well as choosing which time frame you want the strategy to draw your rejection levels in.
Note: This strategy may show profitable results in the backtest/strategy tester but still not 100% guaranteed. Therefore, you need to do your own research on the market and the included strategy for better results.
지표 및 전략
Advanced Crypto Day Trading - Bybit Optimized mapercivEMA RSI ATR MACD trading script strategy with filters for weekdays
Fury by Tetrad on TESLA v2Fury by Tetrad — TSLA v2 (Free Version)
📊 Fury v2 on TSLA — Financial Snapshot
First trade: August 11, 2010
Last trade: September 5, 2025
Net Profit: $10,549.10 (≈ +10,549%)
Gross Profit: $10,554.36
Gross Loss: $5.26
Commission Paid: $86.95
⚖️ Risk/Return Ratios
Sharpe Ratio: 0.42
Sortino Ratio: 17.63
Profit Factor: 2005.38
🔄 Trade Statistics
Total Trades: 37
Winning Trades: 37
Losing Trades: 0
Win Rate: 100%
Fury is a momentum-reversion hybrid designed for Tesla (TSLA) on higher-liquidity timeframes. It combines Bollinger Bands (signal extremes) with RSI (exhaustion filter) to time mean-reversion pops/drops, then exits via price multipliers or optional time-based stops. A Market Direction toggle (Market Neutral / Long Only / Short Only) lets you align with macro bias or risk constraints. Intrabar simulation is enabled for realistic stop/limit behavior, and labeled entries/exits improve visual auditability.
How it works
Entries:
• Long when price pierces lower band and RSI is below the long threshold.
• Short when price pierces upper band and RSI is above the short threshold.
Exits:
• Profit targets via entry×multiplier (independent for long/short).
• Optional price-based stop factors per side.
• Optional time stop (N days) to cap trade duration.
Controls:
• Market Direction switch (Neutral / Long Only / Short Only).
• Tunable BB length/multiplier, RSI length/thresholds, exit multipliers, stops.
Intended use
Swing or position trading TSLA; can be adapted to other high-beta equities with parameter retuning. Use on liquid timeframes and validate with robust out-of-sample testing.
Disclaimers
Backtests are approximations; past performance ≠ future results. Educational use only. Not financial advice.
Stay connected
Follow on TradingView for updates • Telegram: t.me • Website: tetradprotocol.com
Higher Lows, Lower Highs & Failures with Signal Quality ScoringAn attempt at a higher low and lower high with scoring
dr.forexy strategy 1“Dear friends, please do not use this strategy on your own! This setup works best on the 5-minute timeframe. I hope it brings you great profits.”
dr.forexy strategy 1“Dear friends, please do not use this strategy on your own! This setup works best on the 5-minute timeframe. I hope it brings you great profits.”
dr.forexy strategy 1“Dear friends, please do not use this strategy on your own! This setup works best on the 5-minute timeframe. I hope it brings you great profits.”
Delayed X Exit Strategy - Final Versionattempt at a scored lowerhigh, higher lower delayed exit strat
CycleVISION [BitAura]𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵
This Pine Script® indicator combines a long-term trend-following strategy with a cycle valuation Z-score analysis to generate a Trend Probability Indicator (TPI). The TPI aggregates signals from multiple trend and on-chain metrics to identify optimal entry and exit points for a single asset, with USD as a cash position. The system also calculates a comprehensive Z-score based on performance and valuation metrics to assess market cycles, aiming to enhance risk-adjusted returns for long-term investors.
Logic and Core Concepts
The 𝐂ycle𝑽𝑰𝑺𝑰𝑶𝑵 System uses two primary components to guide investing decisions:
1. Trend Probability Indicator (TPI)
Mechanism : Aggregates five proprietary, universal, trend signals and three on-chain metrics into a composite TPI score, normalized between -1 and 1.
Thresholds : Enters a long position when the TPI score exceeds a user-defined long threshold (default: 0.0) and exits to cash when it falls below a short threshold (default: -0.5).
Execution : Trades are executed only on confirmed bars within a user-specified backtest date range, ensuring robust signal reliability.
2. Cycle Valuation Z-Score
Mechanism : Computes an average Z-score from six metrics: Sharpe Ratio, Sortino Ratio, Omega Ratio, Weekly RSI, Crosby Ratio, and Price Z-Score, using a 1200-bar lookback period.
Purpose : Identifies overvalued or undervalued market conditions to complement TPI signals, with thresholds at ±1.8 for extreme valuations.
Visualization : Displays the average Z-score and individual components, with gradient-based bar coloring to reflect valuation strength.
Features
Dynamic Trend Signals : Combines trend and on-chain data into a single TPI score for clear long/cash decisions.
Comprehensive Valuation : Calculates Z-scores for multiple performance and price metrics to assess market cycles.
Customizable Inputs : Allows users to adjust TPI thresholds, backtest date ranges, and valuation metrics visibility.
Visual Outputs :
Valuation Table : Displays TPI score, Z-scores, and performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit) in a configurable table (Lite, Medium, Full).
Equity Curve : Plots the system’s equity curve compared to buy-and-hold performance.
Price and TPI Plot : Overlays TPI-adjusted price bands with glow effects and filled gaps for trend visualization on the price chart.
Valuation Coloring : Applies backgrounds based on Z-score ranges (e.g., strong buy above 1.8, strong sell below -1.8).
Configurable Alerts : Notifies users of TPI signal changes (Long to Cash or Cash to Long) with detailed messages.
Color Presets : Offers five color themes (e.g., Arctic Blast, Fire vs. Ice) or custom color options for long/short signals.
Pine Script v6 : Leverages matrices, tables, and gradient coloring for enhanced usability.
How to Use
Add to Chart : Apply the indicator to any chart (the chart’s ticker is used for calculations, e.g., INDEX:BTCUSD ).
Configure Settings : Adjust TPI thresholds, backtest start date (default: 01 Feb 2018), and valuation metrics visibility in the Inputs menu.
Select Color Theme : Choose a preset color mode (e.g., Arctic Blast) or enable custom colors in the Colors group.
Monitor Outputs : Check the Valuation Table for TPI and Z-score data, and view the Price and TPI Plot for trend signals.
Analyze Performance : Enable the equity curve and performance metrics in the Backtesting Options group to compare results.
Set Alerts : Right-click a plot, select "Add alert," and choose "Trend Change: Long to Cash" or "Trend Change: Cash to Long" for notifications.
The system is optimized for daily timeframe and tested across various assets to ensure robustness.
Notes
The script is closed-source.
Use a standard price series (not Heikin Ashi or other non-standard types) for accurate results.
The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls.
A minimum 1200-bar lookback is mandatory for Z-score calculations to avoid errors, with warnings displayed if insufficient price history is available.
The BitAura watermark can be toggled in the Table Settings group.
Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
Nifty 50 Scalping - Bullish Buy & Bearish Sell (5 Target / 2 SL)Nifty 50 Scalping - Bullish Buy & Bearish Sell (5 Target / 2 SL)
AlphaTrend Strategy – Advanced Trend & Momentum Trading SystemThe AlphaTrend Strategy is a powerful trading system designed to capture trend-following opportunities while filtering out low-quality setups.
It combines multiple layers of confirmation, including:
✅ AlphaTrend entry & exit signals based on dynamic ATR and MFI calculations
✅ Trend filter with customizable moving averages (SMA, EMA, WMA, VWMA, HMA)
✅ Momentum filter using ADX with optional DI+ / DI– checks
✅ Session-based trading to restrict entries to specific market hours
This script supports both long & short trades, provides session highlights, and plots risk-reward levels for better trade management.
Traders can fine-tune the multipliers, lookback periods, and filters to adapt the strategy across different assets and timeframes.
⚡ Ideal for forex, crypto, and indices where trend-following strategies thrive.
Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP[by Irum]Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP
사용 설명서 (KR/EN Bilingual Manual)
1) 목적 & 정의 / Purpose & Definition
KR — 목적 & 정의
이 스크립트는 이격도(Disparity) 와 스토캐스틱(80/20) 의 동시 신호를 활용해 추세 전환/지속 구간의 고확률 진입 시점을 포착하고, ATR 기반 손절/익절(고정 또는 트레일링)로 리스크를 정량화하여 운용 효율을 높이기 위해 설계되었습니다.
핵심 아이디어:
가격이 20MA 대비 ±임계값을 크로스(과열/침체 해소 신호)하고,
스토캐스틱이 80/20을 돌파/이탈(모멘텀 전환 신호)할 때,
두 신호가 동일봉 또는 N봉 내 동기화되면 진입.
청산: ATR×배수를 이용한 고정 TP/SL 또는 ATR 트레일링.
EN — Purpose & Definition
This strategy combines Disparity (price vs. 20MA) and Stochastic (80/20) to identify high-probability entries when momentum confirms mean-reversion/continuation, while ATR-based stops/take-profits (fixed or trailing) provide quantified risk control.
Core Idea:
Disparity crosses ±threshold (overbought/oversold release),
Stochastic crosses 80/20 (momentum shift),
Both conditions sync on the same bar or within N bars → entry.
Exits: Fixed ATR TP/SL or ATR trailing.
2) 신호 로직 요약 / Signal Logic Overview
KR
롱 진입: Disparity가 −임계값 상향 돌파 & Stochastic 20 상향 돌파가 syncBars 이내에 동시 충족.
숏 진입: Disparity가 +임계값 하향 돌파 & Stochastic 80 하향 돌파가 syncBars 이내에 동시 충족.
완화 옵션(useRelaxStoch): 최근 relaxLookback 내 20/80 터치 이력 + 현재 방향성만으로도 모멘텀 전환을 인정(교차 미충족 보완).
EN
Long: Disparity crosses up −threshold & Stochastic crosses up 20 within syncBars.
Short: Disparity crosses down +threshold & Stochastic crosses down 80 within syncBars.
Relaxed option (useRelaxStoch): Accepts momentum shift if 20/80 was touched in the last relaxLookback bars and the current slope confirms, even without a strict cross.
3) 설정 메뉴 안내 / Settings Menu Guide
A. 기본 / Core
기준가격 / Source (source)
설명: Disparity 계산에 쓰는 가격 소스.
입력: close, hl2, ohlc4 등.
기본값: close.
팁: 변동성 큰 종목은 hlc3/ohlc4가 노이즈를 줄이기도 함.
이격도 기준 MA 길이 / MA Length (for Disparity) (int ≥1)
설명: Disparity의 기준선이 되는 단순이동평균 길이.
기본값: 20.
영향: 길이↑ → 신호 빈도↓, 안정성↑.
이격도 임계값(±%) / Disparity Threshold (±%) (float ≥0.1, step 0.1)
설명: Disparity가 +임계값 아래로 하향 크로스(숏) 또는 −임계값 위로 상향 크로스(롱)할 때 신호.
기본값: 1.0%.
팁: 너무 크면 신호 드뭄, 너무 작으면 과다.
B. 스토캐스틱 / Stochastic
%K Length / K 길이 (int ≥1, 기본 14)
%K Smoothing / K 스무딩 (int ≥1, 기본 1)
%D Length / D 길이 (int ≥1, 기본 3)
설명: ta.stoch의 K를 스무딩한 kSlow와, 추가 스무딩한 dSlow(참조용)를 구성.
Buy Level (↑20) / 매수 기준선 (0~100, 기본 20)
Sell Level (↓80) / 매도 기준선 (0~100, 기본 80)
C. 신호 로직 / Signal Logic
Signal Sync Window (bars) / 신호 동기화 윈도우 (0~10, 기본 0)
설명: 0=두 신호가 같은 봉에서 모두 충족해야 함. N>0=최근 N봉 내에서 각각 한 번 발생하면 인정.
팁: 1~3은 현실적 체결/지연을 반영하며 과최적화 방지에 도움.
Relaxed Stochastic? (교차 완화) (bool, 기본 false)
설명: 교차 대신 최근 20/80 터치 + 현재 기울기만으로도 모멘텀 전환을 인정. 신호 빈도↑.
Relax lookback bars (int ≥1, 기본 5)
설명: 완화판정에 쓰는 최근 봉 수.
D. 리스크 / Risk (ATR)
ATR Length / ATR 길이 (int ≥1, 기본 14)
ATR Mult for Stop / 손절 ATR 배수 (float ≥0.1, 기본 1.5)
ATR Mult for Take-Profit / 익절 ATR 배수 (float ≥0.1, 기본 2.0)
설명: 진입가 ± ATR×배수로 SL/TP 설정.
팁: 변동성 큰 자산은 SL 배수↑, TP 배수도 함께 조정 권장.
Use ATR Trailing Stop? / ATR 트레일링 사용 (bool, 기본 false)
ATR Mult for Trailing / 트레일링 ATR 배수 (float ≥0.1, 기본 2.0)
설명: 고정 TP/SL 대신 추적 손절을 사용(수익 추적에 유리).
E. 시각화 / Visualization
Plot 20MA / 20MA 표시 (bool, 기본 true)
Show Entry Markers / 진입 마커 표시 (bool, 기본 true)
4) 진입·청산 규칙 / Entry & Exit Rules
KR
진입: 위 “신호 로직” 충족 시 strategy.entry("L"/"S").
청산 (고정형):
롱: Stop = 진입 − ATR×SL, TP = 진입 + ATR×TP
숏: Stop = 진입 + ATR×SL, TP = 진입 − ATR×TP
청산 (트레일링형):
ATR×trailMult로 산출한 trail_points/offset으로 추적 손절.
EN
Entry: Place strategy.entry("L"/"S") when sync conditions are met.
Exit (Fixed):
Long: Stop = Entry − ATR×SL, TP = Entry + ATR×TP
Short: Stop = Entry + ATR×SL, TP = Entry − ATR×TP
Exit (Trailing):
Use ATR×trailMult as trailing distance & offset.
5) 알림 / Alerts
조건
Long Entry (Disp −Thr & Stoch Up, sync) → longSignal
Short Entry (Disp +Thr & Stoch Down, sync) → shortSignal
메시지 포맷 / Message format
{"signal":"long|short","symbol":"{{ticker}}","price":{{close}}}
Webhook(예: 거래소·봇)에서 signal/symbol/price를 활용해 체결 로직과 연동하십시오.
6) 빠른 시작 & 권장 프리셋 / Quick Start & Suggested Presets
KR — BTC/USDT (15분봉) 제안
maLen=20, thrPct=1.0~1.5, kLen=14, kS=1, dLen=3, stBuyLv=20, stSellLv=80
syncBars=1~3 (동시성 여유), useRelaxStoch=true, relaxLookback=5
고정형: atrLen=14, atrMultSL=1.5~2.0, atrMultTP=2.0~3.0
트레일링형: useTrail=true, trailMult=2.0~3.0
EN — BTC/USDT (15-min) suggestion
Above defaults, with syncBars=1~3, useRelaxStoch=true to improve fill realism.
Increase atrMultSL on high-volatility days to reduce whipsaws.
7) 운용 팁 & 점검 / Tips & Troubleshooting
KR
신호가 안 나와요: thrPct가 지나치게 크거나 syncBars=0으로 너무 엄격할 수 있음. thrPct↓, syncBars↑ 조정.
휩쏘 과다: useRelaxStoch를 끄거나 thrPct↑, atrMultSL↑.
TP 도달 전에 청산: 트레일링 사용 시 변동성 확대로 SL이 따라붙다 체결될 수 있음 → trailMult↑ 또는 고정형 전환.
과최적화 방지: 한 구간에 과특화된 튜닝(특히 syncBars, thrPct)은 다른 시장에서 성능 저하. Walk-forward 권장.
EN
No signals: Lower thrPct and/or increase syncBars.
Too many whipsaws: Disable relaxed mode, raise thrPct and/or atrMultSL.
Stopped before TP (trailing): Increase trailMult or switch to fixed exits.
Robustness: Avoid over-tuning; validate via walk-forward testing.
Daily CMO + Volume Intraday Strategy v6 by Subirrmomentum strategy. buy on next hourly candle after signal. target 5%, sl 1%
Ajay Nayak - EMA ATR Trailinge strategy RSI aur RSI ke SMA ke crossover par CALL aur PUT signal generate karti hai.
Saath me ATR based stoploss aur crossover target bhi diya gaya hai.
Algo trading ke liye useful hai.
US30 ORB 5m / 1m StrategyThis is Open range breakout strategy, its tested with Us30 only. You cant optimize or try. it seems profitable
Michalke Strategy KThis is Michalke Strategy Concept K. It's based around the SMI, MMI and TSI. It seems promising but I wonder how good it really performs on other backtesting systems that aren't TradingView.
IB BreakoutIt marks the IB range (high, low, midpoint) from a chosen session window (default 9:30–10:30).
It plots the IB lines, midpoint (colored based on close), and extension levels (+/–25% and 50%).
After the IB session ends, it looks for breakouts:
Long if price closes above IB high.
Short if price closes below IB low.
Each trade targets the 25% extension in the breakout direction, with an optional stop at the opposite IB level.
It limits the number of trades per day and displays info (trades, position, IB range, next target) in a table.
MS - Crypto RSI-Based Trading StrategyThis is a comprehensive trend-following and momentum-based strategy designed for the cryptocurrency market. It combines multiple leading indicators to filter out market noise and generate high-quality buy and sell signals.
Key Indicators:
Moving Average (MA): To determine the main trend direction.
Relative Strength Index (RSI): To measure momentum and identify overbought/oversold conditions.
Directional Movement Index (DMI): To confirm the strength of the trend.
Volume & ATR: To validate market interest and filter out excessive volatility.
Buy Conditions (All Must Be True):
Price and Trend Alignment: The current price is above the MA50 (with a 5% buffer).
Momentum Confirmation: The RSI is between 50 and 70.
Trend Strength: The +DI is greater than the -DI.
Market Interest: Volume is 1.5 times its moving average.
Low Volatility: The ATR is below its average.
Sell Conditions (Any One Is True):
Trend Reversal: The price drops below the MA50 (with a 5% buffer).
Momentum Loss: The RSI drops below 45.
Trend Weakness: The -DI crosses above the +DI.
Market Fatigue: Volume drops below 50% of its moving average.
High Volatility: The ATR is above its average.
Disclaimer: This is a backtesting tool and not financial advice. Past performance is not an indicator of future results. Always use proper risk management and conduct your own research before trading.
ECG Sanbot IndicatorNot my best but my first strategy to pass prop firms. Strength based signals. Change the length and repainting settings before setting alerts up.
First strategy to pass my prop firm. Change the tf and length to see reliable signals. Option to remove repainting if you want to set alerts. Not the best compared to my other scripts but will always get you in the green.
Core Logic
Calculates a double-smoothed EMA source on a higher timeframe (tf input).
Builds two RSI streams:
Repainting RSI (lookahead on) → reacts quickly to market changes.
Non-repainting RSI (lookahead off) → provides stable, confirmed values.
Computes the ECG difference between the two RSI streams.
Generates a buy signal when the ECG difference crosses above the upper threshold.
Generates a sell signal when the ECG difference crosses below the lower threshold.
Risk Management
Each trade uses a fixed trade size (trade_size).
Built-in stop-loss and take-profit controls:
Stop Loss: default 0.1% from entry price.
Take Profit: default 0.2% from entry price.
Both long and short entries are supported (direction selectable).
Customization Options
Adjustable timeframe (tf) for RSI source.
Fully configurable thresholds, lengths, and EMA smoothing.
Toggle between repainting vs. non-repainting behavior.
Backtest period controls (start and end date).
Visualization
Plots the ECG difference line in red.
Displays horizontal threshold lines for signal reference.
Pivot Points Strategy🟢 It enters long trades near support zones (S1–S3)
🔴 It enters short trades near resistance zones (R1–R3)
🎯 All positions aim to exit at the central pivot (P).
🚫 It avoids trading when price crosses the pivot during the bar.
🔄 Strategy resets when a new pivot is calculated.
📊 Supports pyramiding up to 5 positions for scaling in.
Trend Following S/R Fibonacci Strategy 2Trend Following S/R Fibonacci Strategy 2
Trend Following S/R Fibonacci Strategy 2
