Supertrend + MACD + EMA200 (Pro) V2 — Strict & TrailingThis strategy uses Supertrend, MACD and EMA 200 as indicators. When all three indicators shows the sema direction, you enter the trade.
Indicators and strategies
Rubotics Williams Fractals Strategy
##  📌 Strategy Overview 
This script implements a  trend-following breakout strategy  that uses  Williams Fractals  for trade entries,  moving average filters  for trend confirmation, and  static stop-loss and take-profit levels  based on either swing points or ATR volatility. It is designed for traders looking for a structured, rules-based system with risk-to-reward targeting and clear visual feedback on the chart.
##  ✅ Core Components 
###  🔷 1. Fractal-Based Entries 
The strategy uses  Williams-style fractals  to detect local highs and lows. A buy stop is placed just above an  up fractal  when price is trending upwards, and a sell stop is placed just below a  down fractal  when price is trending downwards. These fractals act as breakout triggers.
* Configurable number of bars (`n`) to define the fractal.
* Optional entry offset in pips to avoid false breakouts.
###  🔷 2. Trend Filter (MA) 
To avoid trading against the trend, the system includes a  moving average filter . Entries are only allowed:
* Long: if price is above the MA.
* Short: if price is below the MA.
The moving average type is user-selectable ( SMA, EMA, WMA, or RMA ), with a customizable period.
###  🔷 3. Stop-Loss (SL) Options 
You can choose between two SL methods:
*  Recent swing high/low : Based on a user-defined lookback.
*  ATR-based : SL is set at a multiple of the ATR value at entry.
The script will  automatically select the more conservative (wider)  SL if both options are enabled.
###  🔷 4. Take-Profit (TP) Modes 
TP levels can be calculated in one of two ways:
*  Risk:Reward multiple : TP = entry ± (SL distance × RR ratio).
*  ATR-based : TP = entry ± (ATR × multiplier).
This gives flexibility in how profit targets are measured and managed.
###  🔷 5. Position Sizing 
Orders are sized dynamically based on the  percentage of account equity . This helps normalize risk across different market conditions or symbols.
##  📊 Visual Aids & Chart Presentation 
The strategy includes helpful visual cues:
*  Fractal markers  on the chart when new confirmed fractals appear.
*  Static horizontal lines  for Entry, TP, and SL, visible only while a position is active.
*  Color-filled zones :
  * Red area between Entry and SL =  risk zone 
  * Green area between Entry and TP =  reward zone 
These visual layers help users clearly see trade setup logic and risk/reward characteristics.
##  🧪 How the Strategy Works (Summary) 
1. Detects new  confirmed fractals  using the `n/n` lookback logic.
2. Checks if the  trend filter (MA)  agrees with the direction of the trade.
3. Places a  stop order  at the next bar once the fractal is confirmed and conditions are met.
4. Upon fill:
   * Captures  entry price .
   * Calculates  static TP and SL , which never change after entry.
   * Exits the position if either level is hit.
5. Highlights  risk/reward zones  on the chart until the position is closed.
##  ⚠️ Risk Disclaimer 
> This strategy is for  educational and informational purposes only . It does not constitute financial advice or a trading recommendation. Always test any strategy thoroughly in a simulated environment and ensure it aligns with your personal risk tolerance, trading style, and market understanding. Trading involves risk, and  past performance does not guarantee future results .
##  🛠 Customization Options 
*  Fractal Sensitivity : Adjust `n` for more or less frequent signals.
*  MA Filter Type and Length : Adapt to different trends or timeframes.
*  Risk Model : Choose between Swing/ATR SL, RR/ATR TP.
*  Position Sizing : Set your equity allocation per trade.
*  Pip Size & Offset : Tailor to your instrument (e.g., FX, indices, crypto).
##  🔐 Script Transparency 
This script is  fully open-source . No proprietary logic is hidden. All calculations and logic are visible and editable in the Pine Script code.
##  📅 Best Use Case 
Ideal for traders who:
* Prefer  price action breakout entries  confirmed by trend direction.
* Want  clear risk-to-reward setups .
* Appreciate  chart-based feedback  (e.g., entry/TP/SL lines and zones).
* Are looking for a  swing trading strategy  adaptable across instruments (FX, crypto, indices, etc.).
SAN_Price Action BOS Strategy Price Action strategy with Break of structure including 20-30EMA crossover with perfect BUY/SELL alert is a beauty of this one
LW Outside Day Strategy[SpeculationLab]This strategy is inspired by the “Outside Day” concept introduced by Larry Williams in Long-Term Secrets to Short-Term Trading, and has been extended with configurable risk management tools and realistic backtesting parameters.
 Concept 
The “Outside Day” is a classic price action pattern that reflects strong market rejection or continuation pressure.
An Outside Bar occurs when the current bar’s high exceeds the previous high and the low falls below the previous low.
A body-size filter ensures only significant candles are included.
 Entry Logic 
Buy setup: Price closes below the previous low (bullish rejection).
Sell setup: Price closes above the previous high (bearish rejection).
Only confirmed bars are used (no intrabar signals).
 Stop-Loss Modes 
Prev Low/High: Uses the previous swing point ± ATR-based buffer.
ATR: Dynamic stop based on Average True Range × multiplier.
Fixed Pips: User-defined fixed distance (for forex testing).
 Take-Profit Modes 
Prev High/Low (PHL): Exits near the opposite swing.
Risk-Reward (RR): Targets a user-defined multiple of the stop distance (default = 2 : 1).
Following Price Open (FPO): Exits on the next bar’s open if price opens in profit (used to test overnight price continuation).
 Risk Management & Backtest Settings 
Default risk per trade is set at 10% of account equity (user-adjustable).
Commission = 0.1% and slippage = 2 ticks are applied to simulate realistic conditions.
For reliable statistics, test on data that yields over 100 trades.
Suitable for daily and 4-hour timeframes across stocks, forex, and crypto markets.
 Visual Elements 
Green and red triangles show entry signals.
Stop-loss (red) and take-profit (green) reference lines are drawn for clarity.
Optional alerts notify when a valid setup forms.
 Disclaimer 
This script is for educational and research purposes only.
It does not constitute financial advice or guarantee profits.
Always backtest thoroughly and manage your own risk.
 Enhancements over Classic Outside Bar Models 
Adjustable stop and target logic with ATR and buffer multipliers.
“Following Price Open” exit logic for realistic day-end management.
Optimized to avoid repainting and bar-confirmation issues.
Built with realistic trading costs and position sizing.
策略逻辑
外包线识别
当日最高价高于前一日最高价,且当日最低价低于前一日最低价,即形成外包线。
同时过滤掉较小实体的 K 线,仅保留实体显著大于前一根的形态。
方向过滤
收盘价低于前一日最低价 → 视为买入信号。
收盘价高于前一日最高价 → 视为卖出信号。
止损设置(可选参数)
前低/高止损:以形态前低/前高为止损,带有缓冲倍数。
ATR 止损:根据平均波动率(ATR)动态调整。
固定点数止损:按照用户设定的点数作为止损范围。
止盈设置(可选参数)
前高/低止盈(PHL):以前高/前低为目标。
固定盈亏比(RR):根据用户设定的风险回报比自动计算。
隔夜开盘(FPO):若次日开盘价高于进场价(多单)或低于进场价(空单),则平仓。
信号标记
在图表中标注买入/卖出信号(三角形标记)。
绘制止损与目标位参考线。
使用说明
适用周期:建议用于 日线图(Daily)。
适用市场:股票、外汇、加密货币等各类市场均可。
提示:此策略为历史研究与学习用途,不构成投资建议。实际交易请结合自身风险管理。
Larry Williams Oops StrategyThis strategy is a modern take on Larry Williams’ classic Oops setup. It trades intraday while referencing daily bars to detect opening gaps and align entries with the prior day’s direction. Risk is managed with day-based stops, and—unlike the original—all positions are closed at the end of the session (or at the last bar’s close), not at a fixed profit target or the first profitable open.
 Entry Rules 
 
 Long setup (bullish reversion): Today opens below yesterday’s low (down gap) and yesterday’s candle was bearish. Place a buy stop at yesterday’s low + Filter (ticks).
 Short setup (bearish reversion): Today opens above yesterday’s high (up gap) and yesterday’s candle was bullish. Place a sell stop at yesterday’s high − Filter (ticks).
 Longs are only taken on down-gap days; shorts only on up-gap days.
 
 Protective Stop
 
 
 If long, stop loss trails the current day’s low.
 If short, stop loss trails the current day’s high.
 
 Exit Logic 
Positions are force-closed at the end of the session (in the last bar), ensuring no overnight exposure. There is no take-profit; only stop loss or end-of-day flat.
 Notes 
This strategy is designed for intraday charts (minutes/seconds) using daily data for gaps and prior-day direction.
Longs/shorts can be enabled or disabled independently.
Rebound Sigma Pro - StrategyOverview 
Rebound Sigma Pro is a mean-reversion indicator that detects statistically oversold conditions in trending markets.
It helps traders identify potential short-term rebounds based on momentum exhaustion and volatility-adjusted entry zones.
Concept
The indicator combines two quantitative components:
 
 Short-term momentum to detect short-term exhaustion
 Trend filter to ensure setups align with the long-term direction
 
When a stock in an uptrend becomes temporarily oversold, a limit-entry signal is plotted.
The trade is then tracked until short-term conditions normalize or a time-based exit occurs.
Visual Signals
Green Triangle: Suggests placing a limit order for the next session
Green Circle: Confirms entry was filled
Red Triangle: Signals an exit for the next session’s open
Orange Background: Pending order
Green Background: Position active
Red Background: Exit phase
Yellow Line: Entry reference price
User Inputs
 
 Limit Entry (% below previous close) – Default 1 %
 Use Limit Entry – Switch between limit or market entries
 Enable Time Exit – Optional holding-period constraint
 Maximum Holding Days 
 
All other internal parameters (momentum length, filters) are pre-configured.
Alerts
 
 Limit Order Signal: New setup detected
 Entry Confirmed: Order filled
 Exit Signal: Exit expected next day
 
Usage
 
 Designed for liquid equities and ETFs
 Works best in confirmed uptrends
 Backtesting encouraged to adapt parameters per symbol and timeframe
 
Notes
 
 Not an automated strategy; manual order execution required
 Past behavior does not imply future performance
 Always apply sound position sizing and risk management
 
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice or performance assurance.
Larry Williams Bonus Track PatternThis strategy trades the day immediately following an Inside Day, under specific directional and timing conditions. It is designed for daily-based setups but executed on intraday charts to ensure orders are placed exactly at the open of the following day, rather than at the daily bar close.
 Entry Conditions 
 
 Only trades on Monday, Thursday, or Friday.
 
 The previous day must be an Inside Day (its high is lower than the prior high and its low is higher than the prior low).
 
 The bar before the Inside Day must be bullish (close > open).
 
On the following day (t):
 
 The daily open must be below both the Inside Day’s high and the highest high of the two days before that.
 
 A buy stop is placed at the highest high of the three previous days (Inside Day and the two days before it).
 
 If the new day’s open is already above that level (gap up), the strategy enters long immediately at the open.
 
 Exit Rules 
 
 Stop Loss: Fixed, defined in points or percentage (user input).
 
 FPO (First Profitable Open): the position is closed at the first daily open after the entry day where the open price is above the average entry price (the first profitable open).
 
 Notes 
The script must be applied on an intraday timeframe (e.g., 15-minute or 1-hour) so that the strategy can:
 
 Detect the Inside Day pattern using daily data (request.security).
 
 Execute orders in real time at the next day’s open.
 
 Running it directly on the daily timeframe will delay executions by one bar due to Pine Script’s evaluation model.
ORDER BLCOK custom strategy# OB Matrix Strategy - Documentation
**Version:** 1.0  
**Author:** HPotter  
**Date:** 31/07/2017  
The **OB Matrix Strategy** is based on the identification of **bullish and bearish Order Blocks** and the management of conditional orders with multiple Take Profit (TP) and Stop Loss (SL) levels. It uses trend filters, ATR, and percentage-based risk management.
---
## 1. Main Parameters
### Strategy
- `initial_capital`: 50  
- `default_qty_type`: percentage of capital  
- `default_qty_value`: 10  
### Money Management
- `rr_threshold`: minimum Risk/Reward threshold to open a trade  
- `risk_percent`: percentage of capital to risk per trade (default 2%)  
- `maxPendingBars`: maximum number of bars for a pending order  
- `maxBarsOpen`: maximum number of bars for an open position  
- `qty_tp1`, `qty_tp2`, `qty_tp3`: quantity percentages for multiple TPs  
---
## 2. Order Block Identification
### Order Block Parameters
- `obLookback`: number of bars to identify an Order Block  
- `obmode`: method to calculate the block (`Full` or `Breadth`)  
- `obmiti`: method to determine block mitigation (`Close`, `Wick`, `Avg`)  
- `obMaxBlocks`: maximum number of Order Blocks displayed  
### Main Variables
- `bullBlocks`: array of bullish blocks  
- `bearBlocks`: array of bearish blocks  
- `last_bull_volume`, `last_bear_volume`: volume of the last block  
- `dom_block`: dominant block type (Bullish/Bearish/None)  
- `block_strength`: block strength (normalized volume)  
- `price_distance`: distance between current price and nearest block  
---
## 3. Visual Parameters
- `Width`: line thickness for swing high/low  
- `amountOfBoxes`: block grid segments  
- `showBorder`: show block borders  
- `borderWidth`: width of block borders  
- `showVolume`: display volume inside blocks  
- `volumePosition`: vertical position of volume text  
Customizable colors:
- `obHighVolumeColor`, `obLowVolumeColor`, `obBearHighVolumeColor`, `obBearLowVolumeColor`  
- `obBullBorderColor`, `obBearBorderColor`  
- `obBullFillColor`, `obBearFillColor`  
- `volumeTextColor`  
---
## 4. Screener Table
- `showScreener`: display the screener table  
- `tablePosition`: table position (`Top Left`, `Top Right`, `Bottom Left`, `Bottom Right`)  
- `tableSize`: table size (`Small`, `Normal`, `Large`)  
The table shows:
- Symbol, Timeframe  
- Type and status of Order Block  
- Number of retests  
- Bullish and bearish volumes  
---
## 5. Trend Filters
- EMA as a trend filter (`emaPeriod`, default 223)  
- `bullishTrend` if close > EMA  
- `bearishTrend` if close < EMA  
---
## 6. ATR and Swing Points
- ATR calculated with a customizable period (`atrLength`)  
- Swing High/Low for SL/TP calculation  
- `f_getSwingTargets` function to calculate SL and TP based on direction  
---
## 7. Trade Logic
### Buy Limit on Bullish OB
- Conditions:
  - New bullish block
  - Uptrend
  - RR > threshold (`rr_threshold`)
- SL: `bullishOBPrice * (1 - atr * atrMultiplier)`  
- Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max)  
- Quantity calculation based on percentage risk  
### Sell Limit on Bearish OB
- Conditions:
  - New bearish block
  - Downtrend
  - RR > threshold (`rr_threshold`)
- SL: `bearishOBPrice * (1 + atr * atrMultiplier)`  
- Multiple TPs: TP1 (50%), TP2 (80%), TP3 (100% max)  
- Quantity calculation based on percentage risk  
---
## 8. Order Management and Timeout
- Close pending orders after `maxPendingBars` bars  
- Close open positions after `maxBarsOpen` bars  
- Label management for open orders  
---
## 9. Alert Conditions
- `bull_touch`: price inside maximum bullish volume zone  
- `bear_touch`: price inside maximum bearish volume zone  
- `bull_reject`: confirmation of bullish zone rejection  
- `bear_reject`: confirmation of bearish zone rejection  
- `new_bull`: new bullish block  
- `new_bear`: new bearish block  
---
## 10. Level Calculation
- Swing levels based on selected timeframe (`SelectPeriod`)  
- `xHigh` and `xLow` for S1 and R1 calculation  
- Levels plotted on chart  
---
## 11. Take Profit / Stop Loss
- Extended horizontal lines (`extendBars`) to visualize TP and SL  
- Customizable colors (`tpColor`, `slColor`)  
---
## 12. Notes
- Complete script based on Pine Script v5  
- Advanced graphical management with boxes, lines, labels  
- Dynamically displays volumes and Order Blocks  
- Integrated internal screener  
---
### End of Documentation
Larry Williams - Smash Day (SL/TP in %)This strategy implements Larry Williams’ “Smash Day” reversal concept on any symbol and timeframe (daily is the classic). A Smash Day is a bar that closes beyond a recent extreme and then potentially reverses on the next session.
Alts Strategy 3.1Alts Strategy 3.1 is a long-term adaptive DCA system designed for spot investment management and portfolio scaling.
It automatically accumulates and averages spot positions during market corrections, using layered Fibonacci supports and adaptive take-profit logic to optimize long-term entry efficiency.
  
This strategy is built for investors and swing traders who prefer gradual accumulation over frequent trading.
Instead of short-term entries and exits, it focuses on adding to positions at statistically favorable levels and reducing exposure near major resistance zones.
Its adaptive nature allows users to simulate real investment behavior — buying lower, holding through volatility, and exiting strategically once recovery targets are reached.
  
The core of the strategy is based on dynamic Fibonacci-derived support zones that react to historical price structures.
When price approaches these zones, Alts Strategy 3.1 initiates or averages entries following cooldown rules and bear-cycle filters.
The built-in bear-market filter recognizes historical cycle patterns (based on Bitcoin halving timelines) and temporarily blocks new entries during high-risk macro phases.
Once the market exits a bear regime, the system reactivates, continuing long-term accumulation.
The adaptive take-profit module adjusts target multipliers depending on recovery depth — distinguishing between “normal recovery” and “deep recovery” cycles.
This approach helps maximize profit during sustainable uptrends while keeping long-term exposure moderate.
All logic is handled internally without repainting, allowing accurate and consistent backtesting.
Alts Strategy 3.1 is intended mainly for long-term investors, portfolio rebalancers, and spot market participants who use DCA (Dollar-Cost Averaging) logic to accumulate assets over time.
It can be used to test different investment horizons, cooldown periods, and adaptive TP configurations directly in the Strategy Tester.
Because it operates on real price action without leverage logic, it is ideal for simulating spot accumulation strategies and macro investment cycles.
This tool is provided for educational and analytical purposes only.
It is not financial advice or a trading signal system.
Quanta - Free Beginner Strategysimple strategy for indian indices. it uses moving averages only to identify trend biase and generated signal based on that.
Aggressive Options Trade Strategy - CALLS (2025+) - ASALEHMomentum-driven options strategy built for call buyers. Uses RSI, MACD, and EMA alignment with volatility filters to spot aggressive long setups and manage exits with profit targets and trailing stops.
Anthony's trading strategyWait for signal to print and a continuation candle to enter trade. If no continuation candle, disregard signal.
Short Only Bot (3Commas Webhook Uyumlu)Short işlem açmaya ce 3commans ile uyumlu hacim odaklı indikatör. halka açık herkes kullanabilir.
AI Combo Strategy: Heat + Reversal + Momentum (v3)✅ Three indicators (Heat Meter, Reversal, Momentum Nexus),
✅ Separate LookBack for SL and TP,
✅ A full-fledged HTF filter,
✅ Enable/Disable checkboxes for each block,
✅ The ability to enable Long/Short separately.
the Father, the Son, and the Holy SpiritThis is a tool used to find great trades! It's the Father, the Son, and the Holy Spirit.
High Volume Candle Breakouts [Engr. Havery]this plots high volume candles on your chart then when a breakout happens, it gives you an alert then place your limits on the active range. goodluck and have fun
SabinaCounter-trend strategy working only in long.
Principle of Operation
The strategy is based on market extremes, which serve as both the signals for opening a position and for closing it. These extremes possess data such as Open, High, Low, Close, and others. The length and the shift (positive or negative) of the extremes are also configurable.
The extreme Ext is used for closing the position, and the extreme Ent is used for opening the position.
Base Order
A dedicated percentage of the deposit is specified. If the price crosses the Ent extreme, a long position is opened.
Take Profit and Stop Loss
The Take Profit level is calculated from the average price. A trailing stop order is present by default, which is set by the Ext extreme. When the price crosses this extreme, the position will be closed if the Take Profit has not yet been reached.
Grid of Orders (Averaging)
This section allows for enabling or disabling the grid of orders.
In the order grid, you can specify the percentage below the base order at which the grid's limit orders should be placed. The grid step is also configurable. The leverage for all orders, including the base order, is set here.
The order grid consists of 10 orders, and each order can be assigned its own percentage of the deposit. This gives the strategy greater flexibility compared to a standard DCA (Dollar-Cost Averaging) grid.
Information Panel
A table displays the historical price drop at a given moment, providing some insight into the potential liquidation level based on the selected leverage. The table also shows the deposit utilization (how much of the deposit is currently tied up).
Tight Entry Trend Engine Strategy═══════════════════════════════════════
TIGHT ENTRY TREND ENGINE
═══════════════════════════════════════
A breakout-based trend-following system designed to capture explosive 
moves by entering at precise resistance/support breakouts with minimal 
entry risk and massive profit potential.
⚠️ LOW WIN RATE, HIGH REWARD SYSTEM ⚠️
This is NOT a high win-rate strategy. Expect 25-35% winners, but 
when it hits, winners are typically 10X+ larger than losers.
═══════════════════════════════════════
🎯 WHAT THIS SYSTEM DOES
═══════════════════════════════════════
The Tight Entry Trend Engine identifies powerful breakout opportunities 
by detecting when price breaks through established trendlines with 
confirmation from higher timeframe trends:
1. DYNAMIC TRENDLINE DETECTION (3 BANKS)
   • Automatically draws support and resistance trendlines
   • 3 separate "banks" capture short-term, medium-term, and long-term levels
   • Each bank has configurable parameters (required pivot touch count, 
     angle limits, lengths)
2. BREAKOUT ENTRY TIMING
   • Enters LONG when price breaks ABOVE resistance trendlines
   • Enters SHORT when price breaks BELOW support trendlines
   • Entry Alert occurs at the exact moment of breakout = "tight entry"
   • Stop-loss placed just below/above the broken trendline (configurable)
3. HIGHER TIMEFRAME TREND FILTER
   • Uses Hull Moving Average (HMA) on higher timeframe for trend following
   • Auto-adjusts HTF based on your chart timeframe
   • Optional filters prevent entries against major trend
   • Optional "overextension" filter avoids buying parabolic moves
4. VOLATILITY-ADAPTIVE RISK MANAGEMENT
   • Stop-loss calculated using Average True Range (ATR)
   • Tighter stops = better R:R
   • Profit targets adjust dynamically with volatility
   • Breakeven stop moves automatically when in profit
   • Extended profit targets when far from HTF trend
═══════════════════════════════════════
📊 HOW IT WORKS (METHODOLOGY)
═══════════════════════════════════════
STEP 1: TRENDLINE FORMATION
The system continuously scans for pivot highs and pivot lows to 
construct trendlines. You control:
BANK 1 (Short-Term):
- Pivot Length: How many bars to look back for swing points
- Min Touches: How many pivots needed to form a line (default: 3)
- Max Length: How far back lines can reach (default: 180 bars)
- Angle Limits: Maximum steepness allowed for valid trendlines
- Tolerance: How close pivots must align to form horizontal lines
BANK 2 (Medium-Term):
- Slightly longer pivot periods for more significant levels
- Captures medium-term trend structure
- Default Max Length: 200 bars
BANK 3 (Long-Term):
- Focuses on major support/resistance zones
- Often uses horizontal levels (angled lines disabled by default)
- Default Max Length: 300 bars
The system draws RESISTANCE lines (red) above price and SUPPORT 
lines (green) below price. These adapt in real-time as new pivots form.
STEP 2: BREAKOUT DETECTION
LONG SIGNALS:
- Price closes above a resistance trendline
- Higher timeframe trend is up (optional filter)
- Price not overextended from HTF trend (optional filter)
- No position currently open
SHORT SIGNALS:
- Price closes below a support trendline
- Higher timeframe trend is down (optional filter)
- Price not overextended from HTF trend (optional filter)
- No position currently open
The "tight" aspect: Because you're entering right at the trendline 
break, your stop-loss can be placed very close (just below the 
broken resistance for longs), creating exceptional risk/reward ratios.
STEP 3: POSITION SIZING
Choose between:
- Fixed $ Risk Per Trade: Risk same dollar amount every trade
- % Risk Per Trade: Risk percentage of current equity
Position size automatically calculated based on:
- Your risk amount
- Distance to stop-loss (ATR-based)
- Works with stocks, futures, crypto (auto-adjusts for contract multipliers)
STEP 4: EXIT MANAGEMENT
Multiple exit methods working together:
- PROFIT TARGET: Exits when profit reaches 100x your risk
- EXTENDED PROFIT: Earlier exit (80R) when very far from HTF trend
- STOP LOSS: Fixed ATR-based stop below entry
- HTF TREND EXIT: Exits when price crosses below HTF trend with profit
- BREAKEVEN PULLBACK: Exits if profit drops below 0.6R after reaching breakeven
- PARTIAL PROFITS: Optional - take partial profits at specified R-multiple
═══════════════════════════════════════
🔧 KEY COMPONENTS EXPLAINED
═══════════════════════════════════════
HULL MOVING AVERAGE (HMA)
A smoothed moving average that reduces lag compared to traditional 
MAs. The system uses HMA on a higher timeframe to determine the 
dominant trend direction. You can choose:
- Auto HTF: System picks appropriate HTF based on your chart timeframe
- Manual HTF: You specify the higher timeframe
AVERAGE TRUE RANGE (ATR)
Measures current market volatility. Used for:
- Stop-loss distance (tighter when volatility low)
- Profit targets (larger when volatility high)
- Position sizing (smaller positions in volatile conditions)
- Breakeven trigger distance
TRENDLINE ANGLE FILTERING
Each trendline bank has angle limits to ensure quality:
- Resistance lines: Max downward/upward slope allowed
- Support lines: Max downward/upward slope allowed
- Angles automatically adjust based on current volatility
- Prevents overly steep/unreliable trendlines
SENSITIVITY CONTROL
One master slider adjusts multiple parameters:
- Trendline detection sensitivity
- HTF MA length
- Exit timing
- Auto-adjusts for daily+ timeframes (60% increase)
═══════════════════════════════════════
⚙️ WHAT YOU SEE ON YOUR CHART
═══════════════════════════════════════
TRENDLINES:
✓ Red resistance lines above price
✓ Green support lines below price  
✓ Orange broken lines (past breakouts)
✓ Lines extend to show current levels
HTF TREND:
✓ Thick colored line showing higher timeframe trend
✓ Color gradient: Red (bearish) → Orange → Yellow → Green (bullish)
✓ 250-bar smoothed curve for visual clarity
ENTRY/EXIT SIGNALS:
✓ Small green dot below bar = Long entry
✓ Small red dot above bar = Short entry
✓ Small red dot above = Long exit
✓ Small black dot below = Short exit
OPTIONAL DETAILED LABELS:
✓ Bank number that triggered entry (Bank 1, 2, or 3)
✓ Exit reason (Profit Target, Stop Loss, HTF Exit, etc.)
✓ Partial profit notifications
POSITION TRACKING:
✓ Yellow dashed line at entry price (extends right)
✓ Green/red fill showing current profit/loss zone
✓ Lime arrows at top = Currently in long position
✓ Red arrows at bottom = Currently in short position
✓ Gray background = No position (flat)
STATS TABLE (Top Right):
✓ Current position (LONG/SHORT/FLAT)
✓ Risk per trade ($ or %)
✓ Entry price
✓ Unrealized P/L in dollars
✓ P/L in R-multiples (how many R's profit/loss)
✓ Average winner/loser R ($ mode) OR CAGR (% mode)
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📈 OPTIMAL USAGE
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BEST ASSETS:
- NASDAQ:QQQ on 1-hour (reg) chart ⭐ (PRIMARY OPTIMIZATION)
- Strong trending stocks: NVDA, AAPL, TSLA, MSFT, GOOGL, AMZN
- High volatility tech stocks
- Crypto: BTC, ETH
- Any liquid asset with clear trends and momentum (GOLD)
AVOID:
- Low volatility stocks
- Ranging/choppy markets
- Penny stocks or illiquid assets
- Assets without clear directional movement
BEST TIMEFRAMES:
- PRIMARY: 1-hour charts (optimal for QQQ)
- ALSO EXCELLENT: 2H, 4H, 8H
- WORKS: 15min, 30min (only momentum leaders, more noise)
- WORKS WITH ADJUSTMENTS: 1D, 2D (decrease trendline pivot lengths)
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📊 BACKTEST RESULTS (QQQ 1H (Reg hours), 1999-2024)
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The system showed on NASDAQ:QQQ 1-hour timeframe (regular hours):
- Total Return: 1,100,000%+ over 24 years
- Total Trades: 500+
- Win Rate: ~20-24% (LOW - this is by design!)
- Average Winner: 8-15% gain
- Average Loser: 2-4% loss
- Win/Loss Ratio: 10:1 (winners much bigger than losers)
- Profit Factor: 3+
- Max Drawdown: 45-50%
- Risk per trade: 3% of capital
KEY INSIGHT: This is a LOW WIN RATE, HIGH REWARD system. You will 
lose more trades than you win, but the few winners are so large 
they more than compensate for many small losses.
IMPORTANT: These are backtested results using optimal parameters 
on historical data. Real trading results will vary based on:
- Your execution and timing
- Slippage and commissions
- Your emotional discipline
- Market conditions during your trading period
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🎓 WHO IS THIS FOR?
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IDEAL FOR:
✓ Swing traders comfortable holding winners for longer period
✓ Part-time traders (1H = check 2-3x per day)
✓ Traders seeking exceptional risk/reward ratios
✓ Those comfortable with low win rates if winners are huge
✓ Technical analysis enthusiasts
✓ Breakout traders
✓ Trend followers
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🚀 GETTING STARTED - STEP BY STEP
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STEP 1: APPLY TO YOUR CHART
- Search "Tight Entry Trend Engine" in indicators
- Click to apply to your chart
- Trendlines and HTF line will appear immediately
STEP 2: CHOOSE YOUR SETTINGS
For BEGINNERS - Use These Settings First:
1. Trade Direction & Filters:
   • ENABLE LONGS: ✓ ON
   • ENABLE SHORTS: ✗ OFF (start with longs only)
   • Sensitivity: 1.0 (default)
   • HTF Trend Entry Filter: ✓ ON (safer entries)
   • Block Entries When Overextended: ✓ ON (avoid parabolic tops)
2. Position Sizing & Risk:
   • Position Sizing: "Per Risk"
   • RISK Type: "$ Per Trade"
   • Risk Amount: $200 (or 1-3% of your account)
   
3. Visual Settings:
   • Show Support Lines: ✗ OFF (unless trading shorts)
   • Show Detailed Entry/Exit Labels: ✓ ON
   • Show Stats Table: ✓ ON
   • Show Entry Line & P/L Fill: ✓ ON
   
4. Leave everything else at DEFAULT for now
STEP 3: UNDERSTAND WHAT YOU SEE
When trendlines appear:
- RED lines above = Resistance (watch for price breaking UP through these)
- GREEN lines below = Support (watch for price breaking DOWN)
- When price breaks a red line = Potential LONG entry
- When price breaks a green line = Potential SHORT entry
The HTF trend line (thick colored):
- Green/lime = Strong uptrend (favorable for longs)
- Red = Strong downtrend (favorable for shorts if enabled)
- Orange/yellow = Transitioning
STEP 4: OBSERVE SIGNALS
- Small GREEN dot below bar = System entered LONG
- Small RED dot above bar = System exited LONG
- Check the label to see which "Bank" triggered (Bank 1, 2, or 3)
- Watch the yellow entry line and colored fill show your P/L
STEP 5: PAPER TRADE FIRST
- Use TradingView's paper trading feature
- Watch how signals perform on YOUR chosen asset
- Understand the win rate will be LOW (20-35%)
- Verify that winners are indeed much larger than losers
- Test for at least 20-30 signals before going live
STEP 6: OPTIMIZE FOR YOUR ASSET (OPTIONAL)
If default settings aren't working well:
For FASTER signals (more trades):
- Reduce Pivot Length 1 to 3-4
- Reduce Max Length 1 to 120-150
- Increase Sensitivity to 1.2-1.5
For SLOWER signals (higher quality):
- Increase Pivot Length 1 to 7-10
- Increase Max Length 1 to 250+
- Decrease Sensitivity to 0.7-0.9
For DAILY timeframes:
- Increase all Pivot Lengths by 30-50%
- Increase all Max Lengths significantly
- Sensitivity: 0.6-0.8
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⚙️ ADVANCED SETTINGS EXPLAINED
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TRENDLINE BANK SETTINGS:
Each bank (1, 2, 3) has these parameters:
- Min Touches: Minimum pivots to form a line
  - Lower (2) = More lines, earlier detection
  - Higher (4+) = Fewer lines, higher quality
- Pivot Length: Lookback for swing points
  - Lower (3-5) = Reacts to recent price action
  - Higher (10+) = Only major swing points
- Max Length: How old a trendline can be
  - Shorter (100-150) = Only recent lines
  - Longer (300+) = Include historical levels
- Tolerance: Alignment strictness for horizontal lines
  - Lower (3.0-3.5) = Very strict horizontal
  - Higher (4.5+) = More forgiving alignment
- Allow Angled Lines: Enable diagonal trendlines
  - ON = Catches sloped support/resistance
  - OFF = Only horizontal levels
- Angle Limits: Maximum steepness allowed
  - Lower (1-2) = Only gentle slopes
  - Higher (4-6) = Accept steeper angles
  - Automatically adjusts for volatility
ATR MULTIPLIERS:
- STOP LOSS ATR (0.6): Distance to stop-loss
  - Lower (0.4-0.5) = Tighter stops, stopped out more
  - Higher (0.8-1.0) = Wider stops, more room
- PROFIT TARGET ATR (100): Main profit target
  - This is 100x your risk = 10,000% R:R
  - Lower (50-80) = Take profits sooner
  - Higher (120+) = Let winners run longer
- BREAKEVEN ATR (40): When to move stop to breakeven
  - Lower (20-30) = Protect profits earlier
  - Higher (60+) = Give more room before protecting
HIGHER TIMEFRAME:
- Auto HTF: Automatically selects appropriate HTF
  - 5min chart → uses 2H
  - 15-30min → uses 6H
  - 1-4H → uses 2D
  - Daily → uses 4D
- HTF MA Length (300): HMA period for trend
  - Lower (150-250) = More responsive
  - Higher (400-500) = Smoother, less whipsaw
- HTF Trend Following Exit: Exits when crossing HTF
  - ON = Additional exit method
  - OFF = Rely only on profit targets/stops
- HTF Trend Entry Filter: Only trade with HTF trend
  - ON = Safer, fewer signals
  - OFF = More aggressive, more signals
- Block Entries When Overextended: Prevents chasing
  - ON = Avoids parabolic tops/bottoms
  - OFF = Enter all breakouts regardless
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💡 TRADING PHILOSOPHY & EXPECTATIONS
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This system is built on one core principle:
"ACCEPT SMALL, FREQUENT LOSSES TO CAPTURE RARE, MASSIVE WINS"
What this means:
- You WILL lose 65%-75% of your trades
- Most losses will be small (1-2R)
- Some winners hit 80R+
- Over time, math works in your favour
30分钟事件合约策略(Q群956383880)This strategy is applicable to the Binance ETHUSDT spot 1-minute candlestick chart, and the order size can be adjusted based on the security level. Theoretically, the higher the security level, the smaller the order size and the higher the win rate.
本策略适用于币安ETHUSDT现货1分钟k线图,可以通过安全等级自行调节单量。理论上,安全等级越高,单量越少,胜率越高。
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.






















