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4 strategies and tactics for Technical Analysis

What is Technical Analysis strategy?

Every great achievement starts with a well-thought-out plan. It can be the launch of a new product, expanding into new markets, or just trying to increase efficiency. You'll need a delicate combination of strategies and tactics to ensure that the journey is smooth and effective.

Identifying the optimal Technical Analysis strategy can be challenging, especially when everyday tasks consume your time. To help you, we've assembled a list of examples to ignite your creativity.

You can copy these examples into your preferred app, or alternatively, use Tability to stay accountable.

How to write your own Technical Analysis strategy with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own strategies.

Technical Analysis strategy examples

You'll find below a list of Technical Analysis tactics. We also included action items for each template to make it more practical and useful.

Strategies and tactics for utilising Football Metaphors to Manage an Investment Portfolio

  • ⛳️ Strategy 1: Balance offensive and defensive plays

    • Identify high-growth stocks like selecting star forwards
    • Include dividend-paying stocks as defenders for stability
    • Diversify investments across sectors like a varied team line-up
    • Mix tech and healthcare stocks to spread risk
    • Research management teams to find strong leaders as team captains
    • Implement a rotational investment strategy similar to player rotations
    • Regularly review portfolio performance with team huddle simulations
    • Apply the Executive-Investment Coach (EIC) top-down approach
    • Conduct macroeconomic analysis like assessing the playing field
    • Stay informed on global economic trends like watching global soccer tournaments

  • ⛳️ Strategy 2: Choose strong economies and companies

    • Select portfolios spread across promising economies like US and India
    • Identify stocks based on their economic growth potential
    • Focus on companies with growing capital per worker
    • Measure steady capital-output ratios over time
    • Evaluate ROE figures, prioritising those above 30%
    • Choose companies based on PE and PB ratios fitting desired criteria
    • Consider monetary policy impacts on sectors like banking and finance
    • Incorporate valuation factors across multiple categories
    • Assess investor sentiment for market timing
    • Monitor geopolitics to exploit industry-specific opportunities

  • ⛳️ Strategy 3: Engage in team-based decision-making

    • Conduct daily team meetings to discuss and deliberate over options
    • Utilise a structured ideation phase for stock selection input
    • Allocate roles within the team for sector-based research
    • Select top competitors of the chosen stocks for analysis
    • Analyse financial statements and ratios for decision making
    • Use technical chart trends for short-term investment forecasts
    • Utilise a custom screener for long-term investment options
    • Discuss and resolve conflicting opinions during team meetings
    • Simulate portfolio testing through various economic scenarios
    • Define a clear process from industry selection to stock segregation
investment-diversificationfootball-metaphorsinvestorfinancial-analystinvestment-management-teameconomic-analysis-team
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Strategies and tactics for achieving over 20% annual returns with swing trading in 15 minutes a day

  • ⛳️ Strategy 1: Utilise technical analysis tools

    • Identify and learn to use key technical indicators like moving averages, RSI, and MACD
    • Set up your trading platform with these indicators for quick access
    • Schedule 5 minutes each day to review these indicators and identify potential trade setups
    • Use moving averages to identify trends – buy when the short-term average crosses above the long-term average and sell when it crosses below
    • Apply the RSI to identify overbought (sell signal) and oversold (buy signal) conditions
    • Analyse MACD crossovers to confirm trade signals from moving averages and RSI
    • Set price alerts on your platform for key levels identified by your technical indicators
    • Use a stock screener to quickly identify candidates that meet your criteria daily
    • Maintain a trading journal to log all trades and review weekly to refine your strategy
    • Reassess indicator settings monthly to adapt to changing market conditions

  • ⛳️ Strategy 2: Focus on high-liquidity stocks

    • Create a list of high-liquidity stocks with daily volume above 1 million shares
    • Concentrate on major market indices (e.g., S&P 500) to find suitable candidates
    • Check news and earnings reports for these stocks in your daily 15-minute session
    • Filter stocks that show price movement of at least 2% per day
    • Use price action analysis and chart patterns to confirm entry and exit points
    • Set stop-limit orders in advance to manage risk and lock in profits
    • Automate as much of the trading process as possible using limit orders
    • Review and adjust your high-liquidity stock list weekly
    • Join online communities or subscribe to newsletters focused on high-liquidity stocks
    • Apply trailing stops to maximise gains and protect profits

  • ⛳️ Strategy 3: Implement strict risk management

    • Determine the maximum amount of capital you are willing to risk per trade (usually 1-2%)
    • Set a hard stop-loss for every trade to limit potential losses
    • Define a target return for each trade (e.g., 1.5-2 times the risk amount)
    • Utilise position sizing to ensure each trade maintains the desired risk level
    • Avoid overtrading by limiting the number of trades you take each week
    • Reinvest gains selectively to compound returns without increasing risk significantly
    • Diversify trades across different sectors to mitigate sector-specific risks
    • Review and adjust stop-loss and target levels daily
    • Use trailing stops to secure profits while allowing for potential upside
    • Maintain emotional discipline by sticking to your defined strategy and rules
technical-analysishigh-liquidity-stockstraderrisk-managertrading-teamfinancial-analysis-team
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Strategies and tactics for implementing support and resistance based algorithm for trading

  • ⛳️ Strategy 1: Define clear support and resistance levels

    • Identify key historical price levels where price has reversed or stalled
    • Use the highest and lowest points on the chart for the designated period to determine levels
    • Apply moving averages to smoothen out noise and identify reliable levels
    • Incorporate pivot points to generate potential support and resistance zones
    • Utilise technical indicators such as Bollinger Bands or Fibonacci retracements for additional confirmation
    • Plot these support and resistance levels on the chart for clear visual reference
    • Ensure levels are dynamically updated based on recent price movements
    • Integrate trend lines in conjunction with horizontal levels for a robust strategy
    • Back-test these levels with historical price data to assess reliability
    • Adjust levels based on market volatility and trading volume

  • ⛳️ Strategy 2: Formulate buy and sell signals

    • Set buy signals when price touches a support level and shows reversal patterns
    • Consider buying on breakouts above resistance levels with volume confirmation
    • Generate sell signals when the price hits resistance and reversal patterns appear
    • Sell on breakdowns below support levels with significant volume as a confirmation
    • Incorporate RSI or other momentum indicators to strengthen buy and sell signals
    • Use candlestick patterns as entry and exit confirmations alongside levels
    • Set stop-loss orders just below support for buys and above resistance for sells
    • Define take-profit levels within reasonable risk-reward ratios
    • Utilise alerts via Pine script to actively monitor emerging signals
    • Regularly review and refine signal criteria based on performance metrics

  • ⛳️ Strategy 3: Develop and test the Pine script

    • Outline the logic and flow for implementing the strategy in Pine Script
    • Code the support and resistance detection logic using arrays or built-in functions
    • Implement the buy and sell logic based on defined conditions
    • Test the script on past S&P 500 data to validate accuracy of predictions
    • Utilise TradingView's strategy tester to analyze risk-to-reward ratios and profitability
    • Debug any script errors and optimize code for better performance
    • Back-test the algorithm against different market conditions
    • Adjust parameters and rules based on back-testing outcomes
    • Publish the Pine script in TradingView for community feedback
    • Continuously refine and update the script for improved results based on user input and further testing
algorithmic-tradingtechnical-analysistraderalgorithm-developertrading-strategy-teamsoftware-development-team
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Strategies and tactics for maximising success in the forex market

  • ⛳️ Strategy 1: Utilise technical analysis

    • Study key technical indicators such as moving averages, RSI, and MACD
    • Develop a system for chart pattern recognition
    • Implement Fibonacci retracement levels for entry and exit points analysis
    • Monitor support and resistance levels continuously
    • Set up and adhere to a trading routine on a specific time frame
    • Establish stop-loss and take-profit levels before entering trades
    • Analyse historical data to identify patterns and trends
    • Use candlestick patterns for gauging market trends
    • Backtest strategies using historical market data
    • Use moving average crossovers for timely buy and sell signals

  • ⛳️ Strategy 2: Employ fundamental analysis

    • Stay updated on central bank interest rate decisions
    • Monitor geopolitical events that may affect currency pairs
    • Analyse economic indicators such as GDP, employment rates, and inflation reports
    • Understand the impact of trade balances and current account deficits
    • Set alerts for key economic announcements and news releases
    • Develop a calendar for tracking major economic events
    • Study trends in financial markets to gauge investor sentiment
    • Establish relationships between different economic data and currency movements
    • Use currency correlations to make informed trading decisions
    • Predict the impact of fiscal policies on currency values

  • ⛳️ Strategy 3: Implement risk management techniques

    • Determine an acceptable risk-reward ratio for each trade
    • Allocate a fixed percentage of capital per trade to minimise loss exposure
    • Set strict stop-loss orders to protect against major losses
    • Utilise trailing stops to lock in profits as the market moves favourably
    • Limit overtrading by adhering to a trading plan and strategy
    • Diversify across multiple currency pairs to mitigate risk
    • Regularly review and adjust risk management policies
    • Keep a journal of trades to identify strengths and weaknesses
    • Use position sizing techniques to minimise risk
    • Educate yourself continuously on new risk management strategies
technical-analysisrisk-managementtraderfinancial-analysttrading-teamrisk-management-team
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How to track your Technical Analysis strategies and tactics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

More strategies recently published

We have more templates to help you draft your team goals and OKRs.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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