Octopus Nest Strategy

This trading strategy is a trend-following system that uses a higher-timeframe EMA to determine the overall market direction. It enters trades on a Parabolic SAR crossover, but only if momentum, measured by a custom oscillator, confirms the move. Exits are calculated using a fixed risk-reward ratio based on the high or low of the last 20 bars.

To trade this strategy manually :

First, set up your TradingView chart with the following indicators:

• Exponential Moving Average (EMA): Set the length to 100. In the indicator's settings, change its timeframe to the next logical higher one (e.g., set it to '1 hour' if you are trading on a '15 minute' chart).
• Parabolic SAR (PSAR): Use the default settings (Start: 0.02, Increment: 0.02, Max: 0.2).
• Squeeze Momentum Indicator [LazyBear]: Find this in the public indicators library. Set its BB Length to 20, BB MultFactor to 2.0, KC Length to 20, and KC MultFactor to 1.5. This will act as your momentum oscillator.

Long Entry Conditions:

• The price must be trading above the 100 EMA.
• The Squeeze Momentum histogram must cross above its zero line (e.g., from red to green).
• The price must cross and close above the PSAR dots.

Short Entry Conditions:

• The price must be trading below the 100 EMA.
• The Squeeze Momentum histogram must cross below its zero line (e.g., from green to red).
• The price must cross and close below the PSAR dots.

Exit Conditions:

• Stop Loss (for a Long trade): Find the lowest price of the last 20 candles and multiply it by 0.98. Place your stop loss at this level.
• Stop Loss (for a Short trade): Find the highest price of the last 20 candles and multiply it by 1.02. Place your stop loss at this level.
• Take Profit (for both Long and Short): Calculate the price distance between your entry and your stop loss (your "Risk"). Multiply this Risk amount by 1.125 to get your Take Profit target.

The Octopus Nest provides a solid mechanical foundation, but a manual trader's edge lies in adding discretionary layers that an algorithm cannot. To elevate this strategy, focus on improving signal quality and adapting to live market conditions rather than following the indicator signals blindly. The goal is to filter out low-probability setups and manage winning trades more effectively.

Here is a plan to enhance the strategy with manual analysis:

• Add a Volume Confirmation Filter. The original creator noted the absence of volume analysis. Integrate a simple 20-period Volume Moving Average (VMA) on your chart. Only consider taking a long or short signal if the volume on the entry candle is above this VMA. This confirms institutional interest and momentum behind the move, helping you avoid low-conviction drifts and false breakouts that often occur on low volume. Furthermore, use the Volume Profile indicator to identify High-Volume Nodes (HVNs). Avoid entering trades directly into an HVN, as these are areas of price agreement and potential consolidation.


• Incorporate a Market Structure Bias. Before even looking for a signal, analyze the chart's structure. Is the price making clear higher highs and higher lows (an uptrend), or lower lows and lower highs (a downtrend)? Or is it stuck in a range? Only take the strategy's long signals when the market structure is clearly bullish, and only take short signals when it's bearish. If the market is choppy or range-bound, stay out completely. This single discretionary filter will prevent you from getting whipsawed when the indicators give conflicting signals during periods of consolidation.


• Implement Dynamic Trade Management. The strategy's automated exit is based on a fixed risk-reward ratio, which is too rigid for dynamic markets. Instead of a static take-profit, identify the next major support or resistance level and set your target just before it. Once your trade is in profit by a 1:1 risk-reward ratio, move your stop loss to your entry point to create a risk-free trade. From there, you can manually trail your stop loss below recent swing lows (for a long) or above swing highs (for a short) to let your winners run further during strong trends.

This strategy is primarily designed for scalpers and short-term day traders who thrive in fast-paced environments. It is best suited for traders who prefer a systematic, rule-based approach over discretionary trading, as the entry and exit conditions are clearly defined by indicator signals.

The ideal user for this strategy is:

• A disciplined trader who can strictly follow the mechanical entry signals generated by the combination of the EMA, PSAR, and TTM Squeeze without emotional interference.
• An intermediate trader who is already comfortable with technical indicators and wants a structured framework to capture quick, momentum-based profits on lower timeframes.

It is less suitable for long-term investors or traders who rely heavily on fundamental analysis, as this is a purely technical and short-term system.

Here are the key takeaways for the Octopus Nest strategy:

• What it is: A systematic scalping strategy designed for short-term day traders who prefer a rule-based approach to capture quick profits on lower timeframes.
• How it works: The strategy uses a higher-timeframe 100 EMA to define the trend, a Parabolic SAR crossover for entry timing, and a TTM Squeeze breakout to confirm momentum.
• How to use it: It can be fully automated as a trading bot, used with TradingView alerts to signal manual entries, or ideally, by combining alerts with manual analysis to filter for the highest quality setups.
• How to optimize it: Enhance signal quality by adding a volume filter to confirm conviction and by only taking trades that align with the broader market structure (e.g., longs in an uptrend).
• How to manage risk: Improve exits by moving your stop loss to break-even once the trade reaches a 1:1 risk-reward ratio, then manually trail the stop to maximize profits on strong trends.