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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!
Strategia Pine Script®
di EfeErdost
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Strategia Pine Script®
di kamalverma1207
Day Trading Strategy (With Risk Management)This is a day trading strategy based on fast and slow EMA crossovers combined with RSI filtering to enhance trade accuracy. Designed for intraday use, it generates buy signals when the fast EMA crosses above the slow EMA and sell signals when it crosses below, but only if the RSI confirms momentum is favorable to avoid false entries in choppy markets. The strategy includes built-in risk management with configurable stop-loss and take-profit levels set at 1% by default, helping to limit losses and secure profits quickly within the trading day. Clear buy and sell signals are plotted on the chart, and alerts notify traders in real time when trading opportunities arise. Ideal for short-term traders, this system provides a disciplined, mechanical approach to capturing intraday trends with momentum confirmation and essential risk controls. It is fully customizable to fit different day trading instruments, timeframes, and risk appetites.
Strategia Pine Script®
di mnwrahmad
Ultimate Scalping Strategy v2Strategy Overview This is a versatile scalping strategy designed primarily for low timeframes (like 1-min, 3-min, or 5-min charts). Its core logic is based on a classic EMA (Exponential Moving Average) crossover system, which is then filtered by the VWAP (Volume-Weighted Average Price) to confirm the trade's direction in alignment with the market's current intraday sentiment. The strategy is highly customizable, allowing traders to add layers of confirmation, control trade direction, and manage exits with precision. Core Strategy Logic The strategy's entry signals are generated when two primary conditions are met simultaneously: Momentum Shift (EMA Crossover): It looks for a crossover between a fast EMA (default length 9) and a slow EMA (default length 21). Buy Signal: The fast EMA crosses above the slow EMA, indicating a potential shift to bullish momentum. Sell Signal: The fast EMA crosses below the slow EMA, indicating a potential shift to bearish momentum. Trend/Sentiment Filter (VWAP): The crossover signal is only considered valid if the price is on the "correct" side of the VWAP. For a Buy Signal: The price must be trading above the VWAP. This confirms that, on average, buyers are in control for the day. For a Sell Signal: The price must be trading below the VWAP. This confirms that sellers are generally in control. Confirmation Filters (Optional) To increase the reliability of the signals and reduce false entries, the strategy includes two optional confirmation filters: Price Action Filter (Engulfing Candle): If enabled (Use Price Action), the entry signal is only valid if the crossover candle is also an "engulfing" candle. A Bullish Engulfing candle is a large green candle that completely "engulfs" the body of the previous smaller red candle, signaling strong buying pressure. A Bearish Engulfing candle is a large red candle that engulfs the previous smaller green candle, signaling strong selling pressure. Volume Filter (Volume Spike): If enabled (Use Volume Confirmation), the entry signal must be accompanied by a surge in volume. This is confirmed if the volume of the entry candle is greater than its recent moving average (default 20 periods). This ensures the move has strong participation behind it. Exit Strategy A position can be closed in one of three ways, creating a comprehensive exit plan: Stop Loss (SL): A fixed stop loss is set at a level determined by a multiple of the Average True Range (ATR). For example, a 1.5 multiplier places the stop 1.5 times the current ATR value away from the entry price. This makes the stop dynamic, adapting to market volatility. Take Profit (TP): A fixed take profit is also set using an ATR multiplier. By setting the TP multiplier higher than the SL multiplier (e.g., 2.0 for TP vs. 1.5 for SL), the strategy aims for a positive risk-to-reward ratio on each trade. Exit on Opposite Signal (Reversal): If enabled, an open position will be closed automatically if a valid entry signal in the opposite direction appears. For example, if you are in a long trade and a valid short signal occurs, the strategy will exit the long position immediately. This feature turns the strategy into more of a reversal system. Key Features & Customization Trade Direction Control: You can enable or disable long and short trades independently using the Allow Longs and Allow Shorts toggles. This is useful for trading in harmony with a higher-timeframe trend (e.g., only allowing longs in a bull market). Visual Plots: The strategy plots the Fast EMA, Slow EMA, and VWAP on the chart for easy visualization of the setup. It also plots up/down arrows to mark where valid buy and sell signals occurred. Dynamic SL/TP Line Plotting: A standout feature is that the strategy automatically draws the exact Stop Loss and Take Profit price lines on the chart for every active trade. These lines appear when a trade is entered and disappear as soon as it is closed, providing a clear visual of your risk and reward targets. Alerts: The script includes built-in alertcondition calls. This allows you to create alerts in TradingView that can notify you on your phone or execute trades automatically via a webhook when a long or short signal is generated.
Strategia Pine Script®
di sebamarghella
2
Bollinger Bands SMA 20_2 StrategyMean reversion strategy using Bollinger Bands (20-period SMA with 2.0 standard deviation bands). Trade Triggers: 🟢 BUY SIGNAL: When: Price crosses above the lower Bollinger Band Logic: Price has hit oversold territory and is bouncing back Action: Places a long position with stop at the lower band 🔴 SELL SIGNAL: When: Price crosses below the upper Bollinger Band Logic: Price has hit overbought territory and is pulling back Action: Places a short position with stop at the upper band
Strategia Pine Script®
di meowBTC
1
Linear Mean Reversion Strategy📘 Strategy Introduction: Linear Mean Reversion with Fixed Stop This strategy implements a simple yet powerful mean reversion model that assumes price tends to oscillate around a dynamic average over time. It identifies statistically significant deviations from the moving average using a z-score, and enters trades expecting a return to the mean. 🧠 Core Logic: A z-score is calculated by comparing the current price to its moving average, normalized by standard deviation, over a user-defined half-life window. Trades are entered when the z-score crosses a threshold (e.g., ±1), signaling overbought or oversold conditions. The strategy exits positions either when price reverts back near the mean (z-score close to 0), or if a fixed stop loss of 100 points is hit, whichever comes first. ⚙️ Key Features: Dynamic mean and volatility estimation using moving average and standard deviation Configurable z-score thresholds for entry and exit Position size scaling based on z-score magnitude Fixed stop loss to control risk and avoid prolonged drawdowns 🧪 Use Case: Ideal for range-bound markets or assets that exhibit stationary behavior around a mean, this strategy is especially useful on assets with mean-reverting characteristics like currency pairs, ETFs, or large-cap stocks. It is best suited for traders looking for short-term reversions rather than long-term trends.
Strategia Pine Script®
di XiaoboFu
BTC 1m Chop Top/Bottom Reversal (Stable Entries)Strategy Description: BTC 5m Chop Top/Bottom Reversal (Stable Entries) This strategy is engineered to capture precise reversal points during Bitcoin’s choppy or sideways price action on the 5-minute timeframe. It identifies short-term tops and bottoms using a confluence of volatility bands, momentum indicators, and price structure, optimized for high-probability scalping and intraday reversals. Core Logic: Volatility Filter: Uses an EMA with ATR bands to define overextended price zones. Momentum Divergence: Confirms reversals using RSI and MACD histogram shifts. Price Action Filter: Requires candle confirmation in the direction of the trade. Locked Signal Logic: Prevents repaints and disappearing trades by confirming signals only once per bar. Trade Parameters: Short Entry: Above upper band + overbought RSI + weakening MACD + bearish candle Long Entry: Below lower band + oversold RSI + strengthening MACD + bullish candle Take Profit: ±0.75% Stop Loss: ±0.4% This setup is tuned for traders using tight risk control and leverage, where execution precision and minimal drawdown tolerance are critical.
Strategia Pine Script®
di Schedule1Cannabis
1
Advanced Supertrend StrategyA comprehensive Pine Script v5 strategy featuring an enhanced Supertrend indicator with multiple technical filters, risk management, and advanced signal confirmation for automated trading on TradingView. ## Features - **Enhanced Supertrend**: Configurable ATR-based trend following with improved accuracy - **RSI Filter**: Optional RSI-based signal filtering to avoid overbought/oversold conditions - **Moving Average Filter**: Trend confirmation using SMA/EMA/WMA with customizable periods - **Risk Management**: Built-in stop-loss and take-profit based on ATR multiples - **Trend Strength Analysis**: Filters weak signals by requiring minimum trend duration - **Breakout Confirmation**: Optional price breakout validation for stronger signals - **Visual Interface**: Comprehensive chart plotting with multiple indicator overlays - **Advanced Alerts**: Multiple alert conditions with detailed signal information - **Backtesting**: Full strategy backtesting with commission and realistic execution
Strategia Pine Script®
di taurus79
Modular Range-Trading Strategy (V9.2)# 模块化震荡行情策略 (V9.2) # Modular Range-Trading Strategy (V9.2) ## 策略简介 | Strategy Overview 该策略基于布林带 (Bollinger Bands)、RSI、MACD、ADX 等经典指标的组合，通过多逻辑模块化结构识别震荡区间的价格反转机会，支持多空双向操作，并在相同逻辑下允许智能加仓，适用于震荡市场的回测和研究。 This strategy combines classic indicators such as Bollinger Bands, RSI, MACD, and ADX to identify price reversal opportunities within ranging markets. It features a modular multi-logic structure, allowing both long and short trades with intelligent pyramiding under the same logic. It is designed for backtesting and research in range-bound conditions. --- ## 功能特点 | Key Features - **多逻辑结构**：支持多套震荡逻辑（动能确认均值回归、布林带极限反转等）。 - **加仓与仓位互斥**：同逻辑下可智能加仓，不同逻辑间自动互斥，避免冲突。 - **回测可调时间范围**：可自定义回测起止时间，精准评估策略表现。 - **指标可视化**：布林带、RSI、MACD 及动态 ATR 止损线实时绘图。 - **K线收盘确认信号**：通过 `barstate.isconfirmed` 控制信号，避免未收盘的虚假信号。 - **Multi-logic structure**: Supports multiple range-trading logics (e.g., momentum-based mean reversion, Bollinger Band reversals). - **Pyramiding with mutual exclusion**: Allows intelligent pyramiding within the same logic while preventing conflicts between different logics. - **Adjustable backtesting range**: Customizable start and end dates for accurate performance evaluation. - **Visual indicators**: Real-time plotting of Bollinger Bands, RSI, MACD, and dynamic ATR stop lines. - **Close-bar confirmation**: Uses `barstate.isconfirmed` to avoid false signals before bar close. --- ## 使用说明 | Usage 1. 将该脚本添加到 TradingView 图表。 2. 在参数中设置回测时间段和指标参数。 3. 仅用于学习与策略研究，请勿直接用于实盘交易。 1. Add this script to your TradingView chart. 2. Configure backtesting dates and indicator parameters as needed. 3. For educational and research purposes only. **Not for live trading.** --- ## ⚠️ 免责声明 | Disclaimer 本策略仅供学习和研究使用，不构成任何形式的投资建议。 作者不参与任何实盘交易、资金管理或收益分成，也不保证策略盈利能力。 严禁将本脚本用于任何非法集资、私募募资或与虚拟货币相关的金融违法活动。 使用本策略即表示您自行承担所有风险与法律责任。 This strategy is for educational and research purposes only and does not constitute investment advice. The author does not participate in live trading, asset management, or profit sharing, nor guarantee profitability. The use of this script in illegal fundraising, private placements, or cryptocurrency-related financial activities is strictly prohibited. By using this strategy, you accept all risks and legal responsibilities. ---
Strategia Pine Script®
di FROST_Quant
HMA Strategy HMA Strat (Hull Moving Average Strategy) Indicator Description The HMA Strat is a trend-following strategy that uses a dual Hull Moving Average system. It helps identify continuation and high-probability reversal signals in both bullish and bearish market conditions. The strategy aims to reduce noise while maintaining sensitivity to changes in price momentum by comparing the standard Hull Moving Average (HMA) to a smoothed version. This strategy is ideal for traders who focus on systematic backtesting, momentum entry, and simple charts. It features integrated plotting, color-zoning, and strategic actions based on TradingView's strategy engine. The system provides dynamic long and short signals based on crossover logic. Key Features Dual HMA Framework: To improve signal quality and reduce choppy trend identification, it compares a regular HMA with a smoothed version (HMA3). Entries Based on Crossover
Strategia Pine Script®
di Markking77
2
Intra Bullish Strategy - Profit Ping v4.0ProfitPing 4.0 is a high-precision intraday swing trading strategy designed for global equity markets, including the US, South Africa, and Australia. The system identifies high-probability BUY and EXIT signals using a confluence of technical indicators and real-time volume dynamics. 🧠 Key Features: Dual EMA Crossover (7 & 14) for short-term trend confirmation Volume Spike Detection based on 20-period moving average RSI Momentum Filter (ideal zone: 55–65) to avoid overbought entries MACD Histogram & Signal Line Sync for trend momentum validation Candlestick Pattern Filtering (e.g. bullish engulfing, flags, breakout candles) Multi-Timeframe Confirmation (optional) for intraday trend alignment Dynamic Risk-to-Reward Logic built into alert framework Webhook-compatible JSON alerts for automation to Google Sheets, Power BI, and IBKR 🛠️ Alert System: BUY alert triggers when all bullish conditions align EXIT alert triggers only if a previous BUY exists for that ticker Trade status is updated live in Google Sheets and integrated with Power BI dashboards Orphaned EXITs (no matched BUY) are tracked separately for accuracy review 🔄 Ideal For: Traders seeking 1:2 to 1:5 risk/reward setups Automation-focused workflows (via TradingView → Google Sheets → Power BI) Swing traders wanting clean visual logs, automated P&L tracking, and optional IBKR execution
Strategia Pine Script®
di mill6soon