资源加载中... loading...
  1. Square
  2. SMART Professional Quantitative Trading Strategy

SMART Professional Quantitative Trading Strategy

Author: ChaoZhang, Date: 2024-01-31 10:28:34
Tags:

img

Overview

This strategy is based on the Smart Money concept using the On-Balance Volume (OBV) indicator to identify institutional fund accumulation and distribution to capture market trends. It goes long when smart money is accumulating and goes short when smart money is distributing.

Strategy Logic

  1. On-Balance Volume (OBV)

    OBV is a momentum indicator that relates volume to price change. It accumulates volume on up days and subtracts volume on down days.

    The strategy uses daily OBV.

  2. Smart Money Conditions

    The strategy identifies two main conditions based on OBV slope:

    • Smart Money Buy Condition: OBV slope > 0, indicating potential smart money accumulation.

    • Smart Money Sell Condition: OBV slope < 0, indicating potential smart money distribution.

  3. Plotting Signals

    Green up arrows and red down arrows represent buy and sell signals.

  4. Entry Logic

    Go long when smart money buy condition is met. Go short when smart money sell condition is met.

  5. Exit Logic

    When long, if smart money sell signal occurs, close long position. When short, if smart money buy signal occurs, close short position.

Advantage Analysis

  1. Identify market trends using OBV, filtering out market noise.

  2. Precisely capture trend reversals based on institutional fund behavior .

  3. Clear signal rules, easy to implement.

  4. Applicable for any symbol and timeframe.

Risk Analysis

  1. OBV may generate false signals, missing entry/exit timing. Verify signals using other indicators.

  2. Cannot predict extreme events. Use stop loss to control risk.

  3. Difficult to accurately determine institutional behavior, leading to signal deviation. Relax buy/sell conditions.

Optimization

  1. Add other indicators to verify signal reliability e.g. candlestick patterns, Stochastics etc.

  2. Use dynamic or trailing stop loss to control loss per trade.

  3. Test different timeframes and parameter settings to find optimal combination.

  4. Incorporate volume pressure indicator to judge strength of funds inflow/outflow.

Conclusion

The SMART professional quantitative trading strategy identifies institutional fund behavior using OBV to determine market structure and accurately capture trend reversals. Simple and clear signal rules make it easy to implement across any symbol and timeframe. Combining signal verification and appropriate risk control improves strategy robustness and profit factor.

/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-18 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("Smart Money Concept Strategy", overlay=true)

// Smart Money Concept: On-Balance Volume (OBV)
obv_value = request.security(syminfo.tickerid, "D", close)
obv_slope = obv_value - obv_value[1]

// Define conditions for smart money accumulation/distribution
smart_money_buy_condition = obv_slope > 0
smart_money_sell_condition = obv_slope < 0

// Plot signals
plotshape(series=smart_money_buy_condition, title="Buy Signal", color=color.green, style=shape.labelup, location=location.belowbar)
plotshape(series=smart_money_sell_condition, title="Sell Signal", color=color.red, style=shape.labeldown, location=location.abovebar)

// Strategy Logic
if (smart_money_buy_condition)
    strategy.entry("Long", strategy.long)

if (smart_money_sell_condition)
    strategy.entry("Short", strategy.short)

// Strategy Exit Logic
strategy.close("ExitLong")
strategy.close("ExitShort")
More

2019 FMZ - All rights reserved