Strategy Development Guide

This comprehensive guide covers everything you need to know about developing trading strategies in Planar. From basic concepts to advanced patterns, you'll learn how to build robust, profitable trading systems.

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Prerequisites

Before diving into strategy development, ensure you have:

Strategy Fundamentals

Architecture Overview

Planar strategies are built around Julia's powerful dispatch system, enabling clean separation of concerns and easy customization. Each strategy is a Julia module that implements specific interface methods through the call! function dispatch pattern.

Core Components

  • Strategy Module: Contains your trading logic and configuration
  • Dispatch System: Uses call! methods to handle different strategy events
  • Asset Universe: Collection of tradeable assets managed by the strategy
  • Execution Modes: Sim (backtesting-mode)), Paper (simulated live), and Live trading
  • Margin Support: Full support for isolated and cross margin trading

Strategy Type Hierarchy

Where:

  • Mode: Execution mode (Sim, Paper, Live)
  • Name: Strategy module name as Symbol
  • Exchange: Exchange identifier
  • Margin: Margin mode (NoMargin, Isolated, Cross)
  • QuoteCurrency: Base currency symbol

Dispatch System

The strategy interface uses Julia's multiple dispatch through the call! function. This pattern allows you to define different behaviors for different contexts while maintaining clean, extensible code.

Key Dispatch Patterns

Type vs Instance Dispatch:

  • Methods dispatching on Type{<:Strategy} are called before strategy construction
  • Methods dispatching on strategy instances are called during runtime

Action-Based Dispatch:

Exchange-Specific Dispatch

You can customize behavior for specific exchanges:

Margin Trading Concepts

Planar provides comprehensive margin trading support with proper position management and risk controls.

Margin Modes

NoMargin: Spot trading only

Isolated Margin: Each position has independent margin

Cross Margin: Shared margin across all positions

Position Management

Risk Management Patterns

Creating a New Strategy

Interactive Strategy Generator

The simplest way to create a strategy is using the interactive generator, which prompts for all required configuration options:

# Activate Planar project
import Pkg
Pkg.activate("Planar")

try
    using Planar
    
    # Example of strategy generation (interactive in real usage)
    println("Strategy generation example:")
    println("Strategy name: MyNewStrategy")
    println("Available timeframes: 1m, 5m, 15m, 1h")
    
    # Note: Planar.generate_strategy() is interactive and requires user input
    # This example shows the expected output format
catch e
    @warn "Planar module not fully available: $e"
end
   1d

Select exchange by:
 > volume
   markets
   nokyc

 > binance
   bitforex
   okx
   xt
   coinbase

Quote currency:
   USDT
   USDC
 > BTC
   ETH
   DOGE

Margin mode:
 > NoMargin
   Isolated

Activate strategy project at /path/to/Planar.jl/user/strategies/MyNewStrategy? [y]/n: y

Add project dependencies (comma separated): Indicators
   Resolving package versions...
   [...]
  Activating project at `/path/to/Planar.jl/user/strategies/MyNewStrategy`

┌ Info: New Strategy
│   name = "MyNewStrategy"
│   [exchange](exchanges.md) = :binance
└   [timeframe](guides/../guides/data-management.md#timeframes) = "5m"
[ Info: Config file updated

Load strategy? [y]/n: 

julia> s = ans

Non-Interactive Strategy Creation

You can also create strategies programmatically without user interaction:

Loading a Strategy

Basic Strategy Loading

Strategies are instantiated by loading a Julia module at runtime:

The strategy name corresponds to the module name, which is imported from:

  • user/strategies/Example.jl (single file strategy)
  • user/strategies/Example/src/Example.jl (project-based strategy)

After module import, the strategy is instantiated by calling call!(::Type{S}, ::LoadStrategy, cfg).

Strategy Type Structure

Example Strategy Module

Dispatch Convention

Rule of Thumb: Methods called before strategy construction dispatch on the strategy type (Type{<:S}), while methods called during runtime dispatch on the strategy instance (S).

Type Definitions:

  • S: Complete strategy type with all parameters (const S = Strategy{name, exc, ...})
  • SC: Generic strategy type where exchange parameter is unspecified

Manual setup

If you want to create a strategy manually you can either:

  • Copy the user/strategies/Template.jl to a new file in the same directory and customize it.
  • Generate a new project in user/strategies and customize Template.jl to be your project entry file. The strategy Project.toml is used to store strategy config options. See other strategies examples for what the keys that are required.

For more advanced setups you can also use Planar as a library, and construct the strategy object directly from your own module:

using Planar
using MyDownStreamModule
s = Planar.Engine.Strategies.strategy(MyDownStreamModule)

Strategy Interface Details

Function Signature Convention

The call! function follows a consistent signature pattern:

  • Subject: Either strategy type (Type{<:Strategy}) or instance (Strategy)
  • Arguments: Function-specific parameters
  • Verb: Action type that determines the dispatch (e.g., ::LoadStrategy)
  • Keyword Arguments: Optional parameters

Strategy Lifecycle

Understanding the strategy lifecycle is crucial for proper implementation:

  1. Module Loading: Strategy module is imported
  2. Type Construction: Strategy type is created with parameters
  3. Instance Creation: call!(Type{<:SC}, config, ::LoadStrategy) is called
  4. Reset/Initialization: call!(s::SC, ::ResetStrategy) is called
  5. Execution Loop: call!(s::SC, timestamp, context) is called repeatedly
  6. Cleanup: call!(s::SC, ::StopStrategy) is called when stopping

Essential Strategy Methods

Required Methods

Optional Methods

Advanced Dispatch Patterns

Conditional Dispatch by Mode

Parameter-Based Dispatch

List of strategy call! functions

Misc.call!Function

Places a limit order and synchronizes the cash balance.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.LimitOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    price,
    waitfor,
    synced,
    skipchecks,
    kwargs...
)

This function initiates a limit order through the _live_limit_order function. Once the order is placed, it synchronizes the cash balance in the live strategy to reflect the transaction. It returns the trade information once the transaction is complete.

source

Places a market order and synchronizes the cash balance.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.MarketOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    waitfor,
    synced,
    skipchecks,
    kwargs...
)

This function initiates a market order through the _live_market_order function. Once the order is placed, it synchronizes the cash balance in the live strategy to reflect the transaction. It returns the trade information once the transaction is complete.

source

Cancels all live orders of a certain type and synchronizes the cash balance.

call!(
    s::Strategy{Misc.Live},
    ai::Instances.AssetInstance,
    ::Executors.CancelOrders;
    t,
    waitfor,
    confirm,
    synced,
    ids
) -> Bool

This function cancels all live orders of a certain side (buy/sell) through the live_cancel function. Once the orders are canceled, it waits for confirmation of the cancelation and then synchronizes the cash balance in the live strategy to reflect the cancelations. It returns a boolean indicating whether the cancellation was successful.

source

Updates leverage or places an order in a live trading strategy.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, <:Misc.WithMargin, C} where {N, C},
    ai::Instances.AssetInstance{<:AbstractAsset, <:ExchangeID, M} where M<:Misc.WithMargin,
    lev,
    ::Executors.UpdateLeverage;
    pos,
    synced,
    atol,
    force
)

This function either updates the leverage of a position or places an order in a live trading strategy. It first checks if the position is open or has pending orders. If not, it updates the leverage on the exchange and then synchronizes the position. If an order is to be placed, it checks for any open positions on the opposite side and places the order if none exist. The function returns the trade or leverage update status.

source

Executes a limit order in a live trading strategy.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, Isolated, C} where {N, C},
    ai::Instances.AssetInstance{<:AbstractAsset, <:ExchangeID, M} where M<:Misc.WithMargin,
    t::Type{<:OrderTypes.Order{<:OrderTypes.LimitOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    price,
    waitfor,
    skipchecks,
    synced,
    kwargs...
)

This function executes a limit order in a live trading strategy, given a strategy s, an asset instance ai, and a trade type t. It checks for open positions on the opposite side and places the order if none exist. The function returns the trade or leverage update status.

source

Executes a market order in a live trading strategy.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, Isolated, C} where {N, C},
    ai::Instances.AssetInstance{<:AbstractAsset, <:ExchangeID, M} where M<:Misc.WithMargin,
    t::Type{<:OrderTypes.Order{<:OrderTypes.MarketOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    waitfor,
    skipchecks,
    synced,
    kwargs...
)

This function executes a market order in a live trading strategy, given a strategy s, an asset instance ai, and a trade type t. It checks for open positions on the opposite side and places the order if none exist. The function returns the trade or leverage update status.

source

Closes a leveraged position in a live trading strategy.

call!(
    s::Strategy{Misc.Live, N, <:ExchangeID, <:Misc.WithMargin, C} where {N, C},
    ai::Instances.AssetInstance{<:AbstractAsset, <:ExchangeID, M} where M<:Misc.WithMargin,
    ::Union{Type{P<:Misc.PositionSide}, Type{O} where O<:(OrderTypes.Order{<:OrderTypes.OrderType, <:AbstractAsset, <:ExchangeID, P<:Misc.PositionSide}), Type{T} where T<:(OrderTypes.Trade{<:OrderTypes.OrderType, <:AbstractAsset, <:ExchangeID, P<:Misc.PositionSide}), OrderTypes.Order{<:OrderTypes.OrderType, <:AbstractAsset, <:ExchangeID, P<:Misc.PositionSide}, OrderTypes.Trade{<:OrderTypes.OrderType, <:AbstractAsset, <:ExchangeID, P<:Misc.PositionSide}, P<:Misc.PositionSide},
    date,
    ::Instances.PositionClose;
    t,
    waitfor,
    kwargs...
) -> Bool

This function cancels any pending orders and checks the position status. If the position is open, it places a closing trade and waits for it to be executed. The function returns true if the position is successfully closed, false otherwise.

source

Executes the OHLCV watcher for a real-time strategy.

call!(
    s::RTStrategy,
    ::Executors.WatchOHLCV,
    args...;
    kwargs...
)

This function triggers the execution of the OHLCV (Open, High, Low, Close, Volume) watcher for a real-time strategy s.

source

Triggers the data update for a real-time strategy.

call!(
    f::Function,
    s::RTStrategy,
    ::Executors.UpdateData;
    cols,
    timeframe
)

This function initiates the update of data for a real-time strategy s. The update is performed for the specified columns cols and uses the provided timeframe timeframe.

source

Triggers the data update for an asset instance in a real-time strategy.

call!(
    f::Function,
    s::RTStrategy,
    ai::Instances.AssetInstance,
    ::Executors.UpdateData;
    cols,
    timeframe
)

This function triggers the update of data for a specific asset instance ai in a real-time strategy s. The update is performed for the specified columns cols and uses the provided timeframe timeframe.

source

Initializes the data for a real-time strategy.

call!(
    f::Function,
    s::RTStrategy,
    ::Executors.InitData;
    cols,
    timeframe
)

This function initializes the data for a real-time strategy s. The initialization is performed for the specified columns cols and uses the provided timeframe timeframe. After the initialization, the updated_at! function is called to update the timestamp for the updated columns.

source

Called on each timestep iteration, possible multiple times. Receives:

  • current_time: the current timestamp to evaluate (the current candle would be current_time - timeframe).
  • ctx: The context of the executor.
call!(_::Strategy, current_time::Dates.DateTime, ctx)
source

Called to construct the strategy, should return the strategy instance.

call!(_::Type{<:Strategy}, cfg, _::LoadStrategy)
source

Called at the end of the reset! function applied to a strategy.

call!(_::Strategy, _::ResetStrategy)
source

How much lookback data the strategy needs.

call!(s::Strategy, _::WarmupPeriod) -> Any
source

When an order is canceled the strategy is pinged with an order error.

call!(
    s::Strategy,
    ::OrderTypes.Order,
    err::OrderTypes.OrderError,
    ::Instances.AssetInstance;
    kwargs...
) -> Any
source

Market symbols that populate the strategy universe

source

Called before the strategy is started.

call!(_::Strategy, _::StartStrategy)
source

Called after the strategy is stopped.

call!(_::Strategy, _::StopStrategy)
source

Creates a simulated limit order.

call!(
    s::SimStrategy{N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.LimitOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    kwargs...
)

The function call! is responsible for creating a simulated limit order. It creates the order using create_sim_limit_order, checks if the order is not nothing, and then calls limitorder_ifprice!. The parameters include a strategy s, an asset ai, and a type t. The function also accepts an amount and additional arguments kwargs....

source

Creates a simulated market order.

call!(
    s::SimStrategy{N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.MarketOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    date,
    kwargs...
)

The function call! creates a simulated market order using create_sim_market_order. It checks if the order is not nothing, and then calls marketorder!. Parameters include a strategy s, an asset ai, a type t, an amount and a date. Additional arguments can be passed through kwargs....

source

Cancel orders for a specific asset instance.

call!(
    s::Strategy{<:Union{Misc.Paper, Misc.Sim}},
    ai::Instances.AssetInstance,
    ::Executors.CancelOrders;
    t,
    kwargs...
) -> Bool

The function call! cancels all orders for a specific asset instance ai. It iterates over the orders of the asset and cancels each one using cancel!. Parameters include a strategy s, an asset instance ai, and a type t which defaults to BuyOrSell. Additional arguments can be passed through kwargs....

source

After a position was updated from a trade.

call!(
    _::Strategy{X, N, <:ExchangeID, <:Misc.WithMargin, C} where {X<:Misc.ExecMode, N, C},
    ai,
    trade::OrderTypes.Trade,
    _::Instances.Position,
    _::Instances.PositionChange
)

This function is called after a position is updated due to a trade. It takes in a MarginStrategy, ai, trade, Position, and PositionChange as arguments. The function does not return any value.

source

After a position update from a candle.

call!(
    _::Strategy{X, N, <:ExchangeID, <:Misc.WithMargin, C} where {X<:Misc.ExecMode, N, C},
    ai,
    date::Dates.DateTime,
    _::Instances.Position,
    _::Instances.PositionUpdate
)

This function is called after a position is updated from a candle. It provides the necessary functionality for handling position updates in response to candle data.

source

Creates a simulated limit order, updating a levarged position.

source

"Creates a simulated market order, updating a levarged position.

Protections

Usually an exchange checks before executing a trade if right after the trade the position would be liquidated, and would prevent you to do such trade, however we always check after the trade, and liquidate accordingly, this is pessimistic since we can't ensure that all exchanges have such protections in place.

source

Closes a leveraged position.

source

Closes all strategy positions

source

Update position leverage. Returns true if the update was successful, false otherwise.

The leverage is not updated when the position has pending orders or is open (and it will return false in such cases.)

source

Watchers are not used in SimMode.

source

Data should be pre initialized in SimMode.

source

Data should be pre initialized in SimMode.

source

Data should be pre initialized in SimMode.

source

Initialize data for each asset in the strategy.

call!(
    f::Function,
    s::SimStrategy,
    ::Executors.InitData;
    cols,
    timeframe
)

This function initializes data for each asset in the strategy by retrieving the OHLCV data and setting the specified columns.

source

Creates a paper market order.

call!(
    s::Strategy{Misc.Paper, N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.MarketOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    date,
    price,
    kwargs...
)

The function creates a paper market order for a given strategy and asset. It specifies the amount of the order and the type of order (e.g., limit order, immediate order).

source

Creates a simulated limit order.

call!(
    s::Strategy{Misc.Paper, N, <:ExchangeID, NoMargin, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.LimitOrderType}};
    amount,
    date,
    kwargs...
)

The function creates a simulated limit order for a given strategy and asset. It specifies the amount of the order and the date. Additional keyword arguments can be passed.

source

Creates a paper market order, updating a leveraged position.

call!(
    s::Strategy{Misc.Paper, N, <:ExchangeID, Isolated, C} where {N, C},
    ai::Instances.AssetInstance{<:AbstractAsset, <:ExchangeID, M} where M<:Misc.WithMargin,
    t::Type{<:OrderTypes.Order{<:OrderTypes.MarketOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    date,
    price,
    kwargs...
)

The function creates a paper market order for a given strategy, asset, and order type. It specifies the amount and date of the order. Additional keyword arguments can be passed.

source

Creates a simulated limit order.

call!(
    s::Strategy{Misc.Paper, N, <:ExchangeID, Isolated, C} where {N, C},
    ai,
    t::Type{<:OrderTypes.Order{<:OrderTypes.LimitOrderType{S}, <:AbstractAsset, <:ExchangeID, P} where {S<:OrderTypes.OrderSide, P<:Misc.PositionSide}};
    amount,
    date,
    kwargs...
)

The function creates a simulated limit order for a given strategy, asset, and order type. It specifies the amount and date of the order. Additional keyword arguments can be passed.

source

Closes positions for a live margin strategy.

call!(
    s::RTStrategy{var"#s1941", N, <:ExchangeID, <:Misc.WithMargin, C} where {var"#s1941"<:Union{Misc.Live, Misc.Paper}, N, C},
    bp::OrderTypes.ByPos,
    date,
    ::Instances.PositionClose;
    kwargs...
)

Initiates asynchronous position closing for each asset instance in the strategy's universe.

source

Returns Optim.ContextSpace for backtesting

call!(_::Strategy, _::Executors.OptSetup)

The ctx field (Executors.Context) specifies the backtest time period, while bounds is a tuple of (lower, upper) bounds for the optimization parameters.

source

Applies parameters to strategy before backtest

call!(_::Strategy, params, _::Executors.OptRun)
source

Indicates if the optimization is a minimization problem.

call!(_::Strategy, _::Executors.OptMinimize) -> Bool
source

Initializes warmup attributes for a strategy.

call!(
    s::Strategy,
    ::InitSimWarmup;
    timeout,
    warmup_period
) -> Any
source

Initiates the warmup process for a real-time strategy instance.

call!(
    cb::Function,
    s::RTStrategy,
    ai::Instances.AssetInstance,
    ats::Dates.DateTime,
    ::SimWarmup;
    n_candles
)

If warmup has not been previously completed for the given asset instance, it performs the necessary preparations.

source

Initiates the warmup process for all assets in the universe for a simulation strategy.

call!(cb::Function, s::SimStrategy, ::SimWarmup; n_candles)

Runs warmup simulation on all assets in the strategy's universe simultaneously.

source

Initiates the warmup process for all assets in the universe for a real-time strategy.

call!(
    cb::Function,
    s::RTStrategy,
    ats::Dates.DateTime,
    ::SimWarmup;
    n_candles
)

Runs warmup simulation on all assets in the strategy's universe simultaneously.

source

Removing a strategy

The function remove_strategy allows to discard a strategy by its name. It will delete the julia file or the project directory and optionally the config entry.

julia> Planar.remove_strategy("MyNewStrategy")
Really delete strategy located at /run/media/fra/stateful-1/dev/Planar.jl/user/strategies/MyNewStrategy? [n]/y: y
[ Info: Strategy removed
Remove user config entry MyNewStrategy? [n]/y: y

Advanced Strategy Examples

Multi-Timeframe Strategy

Portfolio Rebalancing Strategy

Advanced Optimization Strategy

Strategy Setup and Loading (Preserved)

Strategy examples can be found in the user/strategies folder. Some strategies are single files like Example.jl while strategies like BollingerBands or ExampleMargin are project-based.

Project-Based Strategies

For complex strategies, use the project structure:

user/strategies/MyStrategy/
├── Project.toml          # Package definition and dependencies
├── Manifest.toml         # Locked dependency versions
├── src/
│   ├── MyStrategy.jl     # Main strategy module
│   ├── indicators.jl     # Custom indicators
│   ├── utils.jl         # Utility functions
│   └── risk.jl          # Risk management
└── test/
    └── test_strategy.jl  # Strategy tests

Strategy Configuration

Strategies can be configured through user/[planar.toml](config.md#configuration-file):

[strategies.MyStrategy]
exchange = "binance"
margin = "NoMargin"
timeframe = "1h"
initial_cash = 10000.0
sandbox = true

[strategies.MyStrategy.attrs]
custom_param1 = 1.5
custom_param2 = "value"

Strategy Examples

Simple Moving Average Strategy

Margin Trading Strategy

Best Practices

Code Organization

  1. Module Constants: Define strategy metadata at the top

  2. Environment Macros: Use appropriate environment macros

  3. Parameter Management: Use strategy attributes for parameters

Error Handling

Performance Optimization

  1. Minimize Allocations: Reuse data structures when possible
  2. Batch Operations: Group similar operations together
  3. Conditional Logic: Use early returns to avoid unnecessary computations

Testing and Validation

Resizeable Universe

The universe (s.universe) is backed by a DataFrame (s.universe.data). It is possible to add and remove assets from the universe during runtime, although this feature is not extensively tested.

Dynamic Asset Management

Troubleshooting and Debugging

Common Strategy Issues

1. Strategy Loading Problems

Issue: Strategy fails to load with module not found error

Solutions:

  • Verify the strategy file exists in user/strategies/
  • Check that the module name matches the file name
  • Ensure the strategy module is properly defined:

Issue: Strategy loads but crashes during initialization

Solutions:

  • Add the @strategyenv! macro to import required types
  • Verify all required constants are defined:

2. Data Access Issues

Issue: OHLCV data is empty or missing

Solutions:

  • Check data availability for your timeframe and date range
  • Verify exchange supports the requested markets
  • Ensure sufficient warmup period:

Issue: Inconsistent data between timeframes

Solutions:

  • Use available() function to get valid timestamps
  • Handle missing data gracefully:

3. Order Execution Problems

Issue: Orders are rejected with insufficient funds

Solutions:

  • Check available cash before placing orders:

Issue: Orders fail due to minimum size requirements

Solutions:

  • Check exchange limits before placing orders:

4. Margin Trading Issues

Issue: Leverage updates fail

Solutions:

  • Check exchange-specific leverage limits
  • Update leverage before placing orders:

Debugging Techniques

1. Logging and Monitoring

2. Strategy State Inspection

3. Performance Profiling

4. Unit Testing Strategies

Error Recovery Patterns

1. Graceful Degradation

2. Circuit Breaker Pattern

Performance Optimization Tips

  1. Minimize Data Access: Cache frequently used values
  2. Batch Operations: Group similar operations together
  3. Use Type Stability: Ensure functions return consistent types
  4. Profile Regularly: Use Julia's profiling tools to identify bottlenecks
  5. Memory Management: Avoid unnecessary allocations in hot paths

der Management and Risk Control

Order Types and Execution

Planar supports various order types for different trading scenarios. Understanding when and how to use each type is crucial for effective strategy implementation.

Market Orders

Market orders execute immediately at the current market price:

Limit Orders

Limit orders execute only at a specified price or better:

Stop Orders

Stop orders become market orders when a trigger price is reached:

Order Management Patterns

Position Management for Margin Trading

Position Types and States

Leverage Management

Position Sizing Strategies

Risk Management Patterns

Stop Loss Strategies

Take Profit Strategies

Portfolio Risk Management

Risk Metrics and Monitoring

This comprehensive order management and risk documentation provides practical patterns for implementing robust trading strategies with proper risk controls.

Se

e Also

Core Documentation

Advanced Topics

API Reference

Support

Next Steps

After mastering strategy development:

  1. Optimize Your Strategies - Learn parameter optimization techniques
  2. Visualize Performance - Create compelling performance charts
  3. Deploy Live - Move from backtesting to live trading
  4. Extend Functionality - Customize Planar for your needs