Module: OptionLab::Plotting
- Defined in:
- lib/option_lab/plotting.rb
Class Method Summary collapse
-
.find_break_even_points(prices, profits) ⇒ Array<Float>
private
Find approximate break-even points where profit/loss crosses zero.
-
.plot_pl(outputs) ⇒ void
Plot profit/loss diagram.
Class Method Details
.find_break_even_points(prices, profits) ⇒ Array<Float> (private)
Find approximate break-even points where profit/loss crosses zero
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# File 'lib/option_lab/plotting.rb', line 160 def find_break_even_points(prices, profits) break_even_points = [] # Find where profit crosses zero (sign changes) (0...profits.size - 1).each do |i| if (profits[i] <= 0 && profits[i + 1] > 0) || (profits[i] >= 0 && profits[i + 1] < 0) # Linear interpolation to find more accurate break-even point if profits[i] != profits[i + 1] # Avoid division by zero ratio = profits[i].abs / (profits[i].abs + profits[i + 1].abs) break_even = prices[i] + ratio * (prices[i + 1] - prices[i]) break_even_points << break_even.round(2) else # If same profit (unlikely but possible), use midpoint break_even_points << ((prices[i] + prices[i + 1]) / 2).round(2) end end end break_even_points end |
.plot_pl(outputs) ⇒ void
This method returns an undefined value.
Plot profit/loss diagram
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# File 'lib/option_lab/plotting.rb', line 11 def plot_pl(outputs) st = outputs.data inputs = outputs.inputs if st.strategy_profit.empty? raise RuntimeError, 'Before plotting the profit/loss profile diagram, you must run a calculation!' end # Extract data stock_prices = st.stock_price_array strategy_profit = st.strategy_profit # Print explanation for the plot comment = "Profit/Loss diagram:\n--------------------\n" comment += "The vertical line (|) corresponds to the stock's current price (#{inputs.stock_price}).\n" comment += "Break-even points are where the line crosses zero.\n" # Process strikes and add to comment call_buy_strikes = [] put_buy_strikes = [] call_sell_strikes = [] put_sell_strikes = [] st.strike.each_with_index do |strike, i| next if strike == 0.0 case st.type[i] when 'call' if st.action[i] == 'buy' call_buy_strikes << strike elsif st.action[i] == 'sell' call_sell_strikes << strike end when 'put' if st.action[i] == 'buy' put_buy_strikes << strike elsif st.action[i] == 'sell' put_sell_strikes << strike end end end if call_buy_strikes.any? comment += "Long Call Strikes: #{call_buy_strikes.join(', ')}\n" end if call_sell_strikes.any? comment += "Short Call Strikes: #{call_sell_strikes.join(', ')}\n" end if put_buy_strikes.any? comment += "Long Put Strikes: #{put_buy_strikes.join(', ')}\n" end if put_sell_strikes.any? comment += "Short Put Strikes: #{put_sell_strikes.join(', ')}\n" end # Handle profit target and loss limit if inputs.profit_target comment += "Profit Target: $#{inputs.profit_target}\n" end if inputs.loss_limit comment += "Loss Limit: $#{inputs.loss_limit}\n" end # Print comment puts comment # Create LineChart with stock prices and strategy profit plot = UnicodePlot.lineplot( stock_prices.to_a, strategy_profit.to_a, title: 'Options Strategy Profit/Loss', xlabel: 'Stock Price', ylabel: 'Profit/Loss' ) # Add horizontal zero line for break-even zero_line = Array.new(stock_prices.size, 0) plot = UnicodePlot.lineplot!( plot, stock_prices.to_a, zero_line, name: 'Break-even', color: :magenta ) # Add vertical line at current stock price # Find index closest to current stock price current_price_idx = stock_prices.to_a.index { |p| p >= inputs.stock_price } || (stock_prices.size / 2) current_x = [stock_prices[current_price_idx], stock_prices[current_price_idx]] current_y = [strategy_profit.min, strategy_profit.max] plot = UnicodePlot.lineplot!( plot, current_x, current_y, name: 'Current Price', color: :green ) # Add profit target line if specified if inputs.profit_target target_line = Array.new(stock_prices.size, inputs.profit_target) plot = UnicodePlot.lineplot!( plot, stock_prices.to_a, target_line, name: 'Profit Target', color: :blue ) end # Add loss limit line if specified if inputs.loss_limit loss_line = Array.new(stock_prices.size, inputs.loss_limit) plot = UnicodePlot.lineplot!( plot, stock_prices.to_a, loss_line, name: 'Loss Limit', color: :red ) end # Display the plot puts plot # Print break-even points break_even_points = find_break_even_points(stock_prices.to_a, strategy_profit.to_a) if break_even_points.any? puts "\nBreak-even prices: #{break_even_points.map { |p| sprintf('$%.2f', p) }.join(', ')}" else puts "\nNo break-even points found in the analyzed price range." end # Print max profit/loss in range puts "Maximum profit in range: $#{strategy_profit.max.round(2)}" puts "Maximum loss in range: $#{strategy_profit.min.round(2)}" end |