strategy_helpersThis library is designed to aid traders and developers in calculating risk metrics efficiently across different asset types like equities, futures, and forex. It includes comprehensive functions that calculate the number of units or contracts to trade, the value at risk, and the total value of the position based on provided entry prices, stop levels, and risk percentages. Whether you're managing a portfolio or developing trading strategies, this library provides essential tools for risk management. Functions also automatically select the appropriate risk calculation method based on asset type, calculate leverage levels, and determine potential liquidation points for leveraged positions. Perfect for enhancing the precision and effectiveness of your trading strategies.
Library "strategy_helpers"
Provides tools for calculating risk metrics across different types of trading strategies including equities, futures, and forex. Functions allow for precise control over risk management by calculating the number of units or contracts to trade, the value at risk, and the total position value based on entry prices, stop levels, and desired risk percentage. Additional utilities include automatic risk calculation based on asset type, leverage level calculations, and determination of liquidation levels for leveraged trades.
calculate_risk(entry, stop_level, stop_range, capital, risk_percent, trade_direction, whole_number_buy)
Calculates risk metrics for equity trades based on entry, stop level, and risk percent
Parameters:
entry (float) : The price at which the position is entered. Use close if you arent adding to a position. Use the original entry price if you are adding to a position.
stop_level (float) : The price level where the stop loss is placed
stop_range (float) : The price range from entry to stop level
capital (float) : The total capital available for trading
risk_percent (float) : The percentage of capital risked on the trade. 100% is represented by 100.
trade_direction (bool) : True for long trades, false for short trades
whole_number_buy (bool) : True to adjust the quantity to whole numbers
Returns: A tuple containing the number of units to trade, the value at risk, and the total value of the position:
calculate_risk_futures(risk_capital, stop_range)
Calculates risk metrics for futures trades based on the risk capital and stop range
Parameters:
risk_capital (float) : The capital allocated for the trade
stop_range (float) : The price range from entry to stop level
Returns: A tuple containing the number of contracts to trade, the value at risk, and the total value of the position:
calculate_risk_forex(entry, stop_level, stop_range, capital, risk_percent, trade_direction)
Calculates risk metrics for forex trades based on entry, stop level, and risk percent
Parameters:
entry (float) : The price at which the position is entered. Use close if you arent adding to a position. Use the original entry price if you are adding to a position.
stop_level (float) : The price level where the stop loss is placed
stop_range (float) : The price range from entry to stop level
capital (float) : The total capital available for trading
risk_percent (float) : The percentage of capital risked on the trade. 100% is represented by 100.
trade_direction (bool) : True for long trades, false for short trades
Returns: A tuple containing the number of lots to trade, the value at risk, and the total value of the position:
calculate_risk_auto(entry, stop_level, stop_range, capital, risk_percent, trade_direction, whole_number_buy)
Automatically selects the risk calculation method based on the asset type and calculates risk metrics
Parameters:
entry (float) : The price at which the position is entered. Use close if you arent adding to a position. Use the original entry price if you are adding to a position.
stop_level (float) : The price level where the stop loss is placed
stop_range (float) : The price range from entry to stop level
capital (float) : The total capital available for trading
risk_percent (float) : The percentage of capital risked on the trade. 100% is represented by 100.
trade_direction (bool) : True for long trades, false for short trades
whole_number_buy (bool) : True to adjust the quantity to whole numbers, applicable only for non-futures and non-forex trades
Returns: A tuple containing the number of units or contracts to trade, the value at risk, and the total value of the position:
leverage_level(account_equity, position_value)
Calculates the leverage level used based on account equity and position value
Parameters:
account_equity (float) : Total equity in the trading account
position_value (float) : Total value of the position taken
Returns: The leverage level used in the trade
calculate_liquidation_level(entry, leverage, trade_direction, maintenance_margine)
Calculates the liquidation price level for a leveraged trade
Parameters:
entry (float) : The price at which the position is entered
leverage (float) : The leverage level used in the trade
trade_direction (bool) : True for long trades, false for short trades
maintenance_margine (float) : The maintenance margin requirement, expressed as a percentage
Returns: The price level at which the position would be liquidated, or na if leverage is zero
Contracts
Leverage and contracts toolThis script is more like a tool than an indicator.
The script determinates the amount of contracts and the leverage needed to do one trade.
You must specify the following parameters:
Entry price
Stop Loss price
Stop Loss risk. It's the capital that you will loss if the price hit the SL price.
Operation equity. It's the whole capital involved in the operation.
No matter what side of operation is, it works in both ways (short and long).
To determine the levels could be useful use the short-long position tool of TradingView.
Open Interest Auto SpaceManBTCOpen Interest Auto SpaceManBTC
This is an extension to the script, it aims to provide the data in a less hands on way by providing the basis for automatic calculation on which symbol the data is being pulled from.
Changelog:
Automatic Data retrieval on a percoin basis.
Ability to hide or show symbol.
Coloring choices for the user.
EarnedHello friends. I am glad to present for your attention one of my products based on the X-Volume indicator code. The "Earned" indicator shows how much money is earned on the market relative to actual timeframe. Accuracy is relative but nevertheless it is close to actual calculated figures.
How this information can help you? Moust easy interpritation -
1) Trend up - earnings up - bulls in the market.
2) Downward trend and earnings up - bears in the market.
3) Trend up - earnings down - fake growth.
4) Downward trend - earnings down - fake bears.
Crypto USD VolumeOften times I need to check the volume in cryptocurrency exchanges and I find myself checking which type of volume I am looking at, I need to manually make sense what the data is and converting it into USD volume which I end up going to CoinMarketCap website to verify whether my calculation is right.
Today I thought it was about time I created an automatic way to find the volume in USD Dollars. This is what this script does.
1 - It removes the base currency from the symbol (e.g., "BTCUSD", it would remove "BTC", leaving us with the "USD" part.). This is important because it helps us identify the currency the pair uses.
2 - It has different pair's variables, each is given a specific currency that the final volume is calculated from. (BTC, ETH, BNB and USD are the default currencies, for other ones, it must be added manually).
This works with all crypto symbols that include BTC, ETH, BNB and USD as currencies. If you modify it, please make sure to compare data with the exchange's one.
Bitcoin Futures SentimentMonitors the sentiment across Bitcoin Futures, large discrepancies indicate potential low risk (buy/green) and high risk (sell/red) zones.
X-VolumeUsing the indicator, you can roughly analyze the accumulation and distribution of trading volume.
