חפש סקריפטים עבור "Buy sell"
ZenTrend Follower Signals (Backtest)Buy/Sell Entry signals based on the ZenTrend Follower indicator.
Entries are taken from the setup and trend breakout level, exits from the trailing stop loss.
Overextension and trend re-entry signals are ignored.
The indicator is linked below
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More information on the indicator can be found below:
Altcoins StrategyBuy/Sell Altcoins strategy. Based on moving averages, divergences, price and volume
Buy SellKıvanc hocanın yazdığı 2 stop loss indikatörünün birleşmesi sonucu bulundu. Çalışma mantığını kullandıkça anlayacaksınızıdır.
Buy Sell signal by Spicytrader
Get on board before going to the moon !
Spicytrader instantly identifies when a potential pump or dump is beginning.
Compatible with Autoview bot
GET ACCESS : spicytrader.com
Buy/Sell Using MACD and ReversalsUsing the crossover of Signal Line and MACD line predict the reversals of trends in the chart.
Buy/Sell Ahmed Rashiedtrade with confidence good for both intra day and long term took me 2 yrs to finish it
MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point.
Long Term:
- If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts
Medium Term:
- If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries.
Short Term:
- If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend.
Close Trade:
- Trade is closed when the Medium term SmoothK Crosses under/above SmoothD.
You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan.
Best of luck!
[STRATEGY][RS]MicuRobert EMA cross V2Great thanks Ricardo , watch this man . Start at 2014 December with 1000 euro.
[PRINCESS FOREX STRATEGY]PRINCESS FOREX STRATEGY (BUY + SELL BY USING HEKINASHI CANDEL CHART)
This indicator combines Stochastic, RSI, and a modified Williams VIX Fix filter to generate high-probability BUY and SELL signals, with automatic candle coloring for improved visual clarity.
How It Works
By Using Hekinashi Candel (Chart)
Stochastic Oscillator (Slow)
Measures momentum and overbought/oversold zones.
Adjustable inputs for %K, %D smoothing and thresholds.
Relative Strength Index (RSI)
Confirms strength of price movement.
Helps identify reversal zones around 30 (oversold) and 70 (overbought).
Williams VIX Fix (Volatility Filter)
Detects potential bottoms/tops based on volatility spikes.
Includes Bollinger Band and percentile-based filtering to avoid false signals.
Sequential Signal Logic
Prevents back-to-back conflicting signals.
Position state: 0 = Flat, 1 = After Buy, -1 = After Sell.
Candle Coloring
Aqua candles highlight bullish sequences after a BUY signal.
Fuchsia candles highlight bearish sequences after a SELL signal.
Neutral candles remain uncolored for clean visualization.
When to Use
Works well on Forex, indices, commodities, and cryptocurrency pairs.
Can be applied to any timeframe — from scalping on M5 charts to swing trading on H4 or daily charts.
Best used with price action, support/resistance zones, and volume analysis for confirmation.
How to Interpret Signals
BUY ▲ (Aqua):
Price strength confirmed with bullish momentum.
Volatility filter supports potential upward reversal.
SELL ▼ (Fuchsia):
Price weakness confirmed with bearish momentum.
Volatility filter supports potential downward reversal.
Colored candles continue until an opposite signal is generated.
Key Features
Full input customization (RSI, Stoch, VIX Fix parameters).
No repainting — signals print on confirmed candle closes.
Clean, visual signals with built-in candle highlighting.
Pivot Breakout + EMA Stack + Vol + Candle ConfirmThis indicator combines pivot breakout logic with trend, volume, and price action confirmations to filter strong trading opportunities.
🔹 Key Features:
Dynamic Pivot Levels (Fibonacci, Traditional, Camarilla, Woodie, etc.) across multiple timeframes (Daily → Yearly).
EMA Stack Trend Filter (20/50/100/200 EMA alignment for bullish/bearish confirmation).
Volume Confirmation (breakouts validated by volume > SMA).
Candle Body Strength Filter (optional strict mode: candle body ≥ % of range).
Breakout Signals (BUY when price breaks above pivot resistances in bullish trend; SELL when breaking below supports in bearish trend).
Consolidation Zone Highlight (between R1 & S1).
Visual Alerts & Signals (BUY/SELL markers + TradingView alertcondition).
✅ Works across all assets (stocks, crypto, forex, futures).
✅ Ideal for breakout traders, trend-followers, and swing traders.
✅ Customizable pivots, EMAs, volume filter, and candle confirmation for flexible strategies.
SVX (Sentiment Velocity Index)
The SVX Momentum Framework is a technical slope and momentum visualization tool that combines EMA structure and slope analysis to highlight transitions in market behavior.
It is not a buy/sell signal generator, but rather a contextual framework designed to support traders in understanding momentum conditions.
Key Features
- EMA stack (8/20/40/100) for structural alignment.
- Momentum slope visualization for directional clarity derived from actual closing price movement, not Supertrend-based calculations.
- Pre-move markers that highlights potential transition zones.
- Compatible with both standard and Heikin Ashi candles (HA recommended for visual smoothness).
- Customizable across instruments and timeframes.
Suggested Use
- Integrate as part of an existing strategy to interpret trend and momentum context.
- Works across indices, futures, forex, and commodities.
- Educational tool, not intended as a standalone signal system.
Access
This script is invite-only. Access is limited and provided at the author’s discretion.
Disclaimer
This script is for educational purposes only. It does not provide financial advice or trading recommendations. Past performance is not indicative of future results. The author and TradingView, Inc assume no responsibility for losses incurred from use of this tool.
Game Theory Trading StrategyGame Theory Trading Strategy: Explanation and Working Logic
This Pine Script (version 5) code implements a trading strategy named "Game Theory Trading Strategy" in TradingView. Unlike the previous indicator, this is a full-fledged strategy with automated entry/exit rules, risk management, and backtesting capabilities. It uses Game Theory principles to analyze market behavior, focusing on herd behavior, institutional flows, liquidity traps, and Nash equilibrium to generate buy (long) and sell (short) signals. Below, I'll explain the strategy's purpose, working logic, key components, and usage tips in detail.
1. General Description
Purpose: The strategy identifies high-probability trading opportunities by combining Game Theory concepts (herd behavior, contrarian signals, Nash equilibrium) with technical analysis (RSI, volume, momentum). It aims to exploit market inefficiencies caused by retail herd behavior, institutional flows, and liquidity traps. The strategy is designed for automated trading with defined risk management (stop-loss/take-profit) and position sizing based on market conditions.
Key Features:
Herd Behavior Detection: Identifies retail panic buying/selling using RSI and volume spikes.
Liquidity Traps: Detects stop-loss hunting zones where price breaks recent highs/lows but reverses.
Institutional Flow Analysis: Tracks high-volume institutional activity via Accumulation/Distribution and volume spikes.
Nash Equilibrium: Uses statistical price bands to assess whether the market is in equilibrium or deviated (overbought/oversold).
Risk Management: Configurable stop-loss (SL) and take-profit (TP) percentages, dynamic position sizing based on Game Theory (minimax principle).
Visualization: Displays Nash bands, signals, background colors, and two tables (Game Theory status and backtest results).
Backtesting: Tracks performance metrics like win rate, profit factor, max drawdown, and Sharpe ratio.
Strategy Settings:
Initial capital: $10,000.
Pyramiding: Up to 3 positions.
Position size: 10% of equity (default_qty_value=10).
Configurable inputs for RSI, volume, liquidity, institutional flow, Nash equilibrium, and risk management.
Warning: This is a strategy, not just an indicator. It executes trades automatically in TradingView's Strategy Tester. Always backtest thoroughly and use proper risk management before live trading.
2. Working Logic (Step by Step)
The strategy processes each bar (candle) to generate signals, manage positions, and update performance metrics. Here's how it works:
a. Input Parameters
The inputs are grouped for clarity:
Herd Behavior (🐑):
RSI Period (14): For overbought/oversold detection.
Volume MA Period (20): To calculate average volume for spike detection.
Herd Threshold (2.0): Volume multiplier for detecting herd activity.
Liquidity Analysis (💧):
Liquidity Lookback (50): Bars to check for recent highs/lows.
Liquidity Sensitivity (1.5): Volume multiplier for trap detection.
Institutional Flow (🏦):
Institutional Volume Multiplier (2.5): For detecting large volume spikes.
Institutional MA Period (21): For Accumulation/Distribution smoothing.
Nash Equilibrium (⚖️):
Nash Period (100): For calculating price mean and standard deviation.
Nash Deviation (0.02): Multiplier for equilibrium bands.
Risk Management (🛡️):
Use Stop-Loss (true): Enables SL at 2% below/above entry price.
Use Take-Profit (true): Enables TP at 5% above/below entry price.
b. Herd Behavior Detection
RSI (14): Checks for extreme conditions:
Overbought: RSI > 70 (potential herd buying).
Oversold: RSI < 30 (potential herd selling).
Volume Spike: Volume > SMA(20) x 2.0 (herd_threshold).
Momentum: Price change over 10 bars (close - close ) compared to its SMA(20).
Herd Signals:
Herd Buying: RSI > 70 + volume spike + positive momentum = Retail buying frenzy (red background).
Herd Selling: RSI < 30 + volume spike + negative momentum = Retail selling panic (green background).
c. Liquidity Trap Detection
Recent Highs/Lows: Calculated over 50 bars (liquidity_lookback).
Psychological Levels: Nearest round numbers (e.g., $100, $110) as potential stop-loss zones.
Trap Conditions:
Up Trap: Price breaks recent high, closes below it, with a volume spike (volume > SMA x 1.5).
Down Trap: Price breaks recent low, closes above it, with a volume spike.
Visualization: Traps are marked with small red/green crosses above/below bars.
d. Institutional Flow Analysis
Volume Check: Volume > SMA(20) x 2.5 (inst_volume_mult) = Institutional activity.
Accumulation/Distribution (AD):
Formula: ((close - low) - (high - close)) / (high - low) * volume, cumulated over time.
Smoothed with SMA(21) (inst_ma_length).
Accumulation: AD > MA + high volume = Institutions buying.
Distribution: AD < MA + high volume = Institutions selling.
Smart Money Index: (close - open) / (high - low) * volume, smoothed with SMA(20). Positive = Smart money buying.
e. Nash Equilibrium
Calculation:
Price mean: SMA(100) (nash_period).
Standard deviation: stdev(100).
Upper Nash: Mean + StdDev x 0.02 (nash_deviation).
Lower Nash: Mean - StdDev x 0.02.
Conditions:
Near Equilibrium: Price between upper and lower Nash bands (stable market).
Above Nash: Price > upper band (overbought, sell potential).
Below Nash: Price < lower band (oversold, buy potential).
Visualization: Orange line (mean), red/green lines (upper/lower bands).
f. Game Theory Signals
The strategy generates three types of signals, combined into long/short triggers:
Contrarian Signals:
Buy: Herd selling + (accumulation or down trap) = Go against retail panic.
Sell: Herd buying + (distribution or up trap).
Momentum Signals:
Buy: Below Nash + positive smart money + no herd buying.
Sell: Above Nash + negative smart money + no herd selling.
Nash Reversion Signals:
Buy: Below Nash + rising close (close > close ) + volume > MA.
Sell: Above Nash + falling close + volume > MA.
Final Signals:
Long Signal: Contrarian buy OR momentum buy OR Nash reversion buy.
Short Signal: Contrarian sell OR momentum sell OR Nash reversion sell.
g. Position Management
Position Sizing (Minimax Principle):
Default: 1.0 (10% of equity).
In Nash equilibrium: Reduced to 0.5 (conservative).
During institutional volume: Increased to 1.5 (aggressive).
Entries:
Long: If long_signal is true and no existing long position (strategy.position_size <= 0).
Short: If short_signal is true and no existing short position (strategy.position_size >= 0).
Exits:
Stop-Loss: If use_sl=true, set at 2% below/above entry price.
Take-Profit: If use_tp=true, set at 5% above/below entry price.
Pyramiding: Up to 3 concurrent positions allowed.
h. Visualization
Nash Bands: Orange (mean), red (upper), green (lower).
Background Colors:
Herd buying: Red (90% transparency).
Herd selling: Green.
Institutional volume: Blue.
Signals:
Contrarian buy/sell: Green/red triangles below/above bars.
Liquidity traps: Red/green crosses above/below bars.
Tables:
Game Theory Table (Top-Right):
Herd Behavior: Buying frenzy, selling panic, or normal.
Institutional Flow: Accumulation, distribution, or neutral.
Nash Equilibrium: In equilibrium, above, or below.
Liquidity Status: Trap detected or safe.
Position Suggestion: Long (green), Short (red), or Wait (gray).
Backtest Table (Bottom-Right):
Total Trades: Number of closed trades.
Win Rate: Percentage of winning trades.
Net Profit/Loss: In USD, colored green/red.
Profit Factor: Gross profit / gross loss.
Max Drawdown: Peak-to-trough equity drop (%).
Win/Loss Trades: Number of winning/losing trades.
Risk/Reward Ratio: Simplified Sharpe ratio (returns / drawdown).
Avg Win/Loss Ratio: Average win per trade / average loss per trade.
Last Update: Current time.
i. Backtesting Metrics
Tracks:
Total trades, winning/losing trades.
Win rate (%).
Net profit ($).
Profit factor (gross profit / gross loss).
Max drawdown (%).
Simplified Sharpe ratio (returns / drawdown).
Average win/loss ratio.
Updates metrics on each closed trade.
Displays a label on the last bar with backtest period, total trades, win rate, and net profit.
j. Alerts
No explicit alertconditions defined, but you can add them for long_signal and short_signal (e.g., alertcondition(long_signal, "GT Long Entry", "Long Signal Detected!")).
Use TradingView's alert system with Strategy Tester outputs.
3. Usage Tips
Timeframe: Best for H1-D1 timeframes. Shorter frames (M1-M15) may produce noisy signals.
Settings:
Risk Management: Adjust sl_percent (e.g., 1% for volatile markets) and tp_percent (e.g., 3% for scalping).
Herd Threshold: Increase to 2.5 for stricter herd detection in choppy markets.
Liquidity Lookback: Reduce to 20 for faster markets (e.g., crypto).
Nash Period: Increase to 200 for longer-term analysis.
Backtesting:
Use TradingView's Strategy Tester to evaluate performance.
Check win rate (>50%), profit factor (>1.5), and max drawdown (<20%) for viability.
Test on different assets/timeframes to ensure robustness.
Live Trading:
Start with a demo account.
Combine with other indicators (e.g., EMAs, support/resistance) for confirmation.
Monitor liquidity traps and institutional flow for context.
Risk Management:
Always use SL/TP to limit losses.
Adjust position_size for risk tolerance (e.g., 5% of equity for conservative trading).
Avoid over-leveraging (pyramiding=3 can amplify risk).
Troubleshooting:
If no trades are executed, check signal conditions (e.g., lower herd_threshold or liquidity_sensitivity).
Ensure sufficient historical data for Nash and liquidity calculations.
If tables overlap, adjust position.top_right/bottom_right coordinates.
4. Key Differences from the Previous Indicator
Indicator vs. Strategy: The previous code was an indicator (VP + Game Theory Integrated Strategy) focused on visualization and alerts. This is a strategy with automated entries/exits and backtesting.
Volume Profile: Absent in this strategy, making it lighter but less focused on high-volume zones.
Wick Analysis: Not included here, unlike the previous indicator's heavy reliance on wick patterns.
Backtesting: This strategy includes detailed performance metrics and a backtest table, absent in the indicator.
Simpler Signals: Focuses on Game Theory signals (contrarian, momentum, Nash reversion) without the "Power/Ultra Power" hierarchy.
Risk Management: Explicit SL/TP and dynamic position sizing, not present in the indicator.
5. Conclusion
The "Game Theory Trading Strategy" is a sophisticated system leveraging herd behavior, institutional flows, liquidity traps, and Nash equilibrium to trade market inefficiencies. It’s designed for traders who understand Game Theory principles and want automated execution with robust risk management. However, it requires thorough backtesting and parameter optimization for specific markets (e.g., forex, crypto, stocks). The backtest table and visual aids make it easy to monitor performance, but always combine with other analysis tools and proper capital management.
If you need help with backtesting, adding alerts, or optimizing parameters, let me know!
