The Strategies module is designed to help you organize, document, and experiment with different trading methodologies. Think of it as your personal lab where you test ideas, compare results, and refine your system over time.
You can:
Create and name a strategy (e.g., “Breakout Reversal”).
Add detailed metadata like tags, timeframes, and symbols it applies to.
Break it down into approaches, allowing for structured A/B testing of variations.
The Strategies module is designed to help you organize, document, and experiment with different trading methodologies. Think of it as your personal lab where you test ideas, compare results, and refine your system over time.
You can:
Create and name a strategy (e.g., “Breakout Reversal”).
Add detailed metadata like tags, timeframes, and symbols it applies to.
Break it down into approaches, allowing for structured A/B testing of variations.
The Strategies module is designed to help you organize, document, and experiment with different trading methodologies. Think of it as your personal lab where you test ideas, compare results, and refine your system over time.
You can:
Create and name a strategy (e.g., “Breakout Reversal”).
Add detailed metadata like tags, timeframes, and symbols it applies to.
Break it down into approaches, allowing for structured A/B testing of variations.
Easily break down strategies into entry, management, and exit for full control and clarity.
Easily break down strategies into entry, management, and exit for full control and clarity.
Easily break down strategies into entry, management, and exit for full control and clarity.
Test multiple approaches side-by-side to see what performs best under real conditions.
Test multiple approaches side-by-side to see what performs best under real conditions.
Test multiple approaches side-by-side to see what performs best under real conditions.
Track every decision from idea to execution, improving repeatability and confidence.
Track every decision from idea to execution, improving repeatability and confidence.
Track every decision from idea to execution, improving repeatability and confidence.
Approaches live within a strategy and define how that strategy is executed under different conditions.
Think of it like this:
Driving from Amsterdam to Italy
Strategy: "Drive to Italy"
Setup Approach: Leave with a full tank (vs. empty tank)
Trade Management Approach: Take scenic route vs. direct highway
Your final destination (Italy) is the same, but the method of getting there (your approach) drastically changes the outcome — fuel, time, mood, and even if you make it at all.
Approaches live within a strategy and define how that strategy is executed under different conditions.
Think of it like this:
Driving from Amsterdam to Italy
Strategy: "Drive to Italy"
Setup Approach: Leave with a full tank (vs. empty tank)
Trade Management Approach: Take scenic route vs. direct highway
Your final destination (Italy) is the same, but the method of getting there (your approach) drastically changes the outcome — fuel, time, mood, and even if you make it at all.
Approaches live within a strategy and define how that strategy is executed under different conditions.
Think of it like this:
Driving from Amsterdam to Italy
Strategy: "Drive to Italy"
Setup Approach: Leave with a full tank (vs. empty tank)
Trade Management Approach: Take scenic route vs. direct highway
Your final destination (Italy) is the same, but the method of getting there (your approach) drastically changes the outcome — fuel, time, mood, and even if you make it at all.
A setup defines the conditions that lead to entering a trade. It's the logic or trigger criteria that signal when to take action. For example, one setup might be a London Session Breakout, where you observe price ranges formed during the early London hours and initiate a trade when price breaks above the high or below the low of that range. Another setup could be a New York Session Breakout, which applies similar breakout logic but to a different time window.
Although both are breakout setups, their performance characteristics can differ. For instance, the London setup might result in fewer fakeouts due to more consistent volatility, while the New York setup might yield larger moves because of news releases or market overlap with the US open. By documenting each setup variation in detail, you can later analyze and compare which performs better under different market conditions.
A setup defines the conditions that lead to entering a trade. It's the logic or trigger criteria that signal when to take action. For example, one setup might be a London Session Breakout, where you observe price ranges formed during the early London hours and initiate a trade when price breaks above the high or below the low of that range. Another setup could be a New York Session Breakout, which applies similar breakout logic but to a different time window.
Although both are breakout setups, their performance characteristics can differ. For instance, the London setup might result in fewer fakeouts due to more consistent volatility, while the New York setup might yield larger moves because of news releases or market overlap with the US open. By documenting each setup variation in detail, you can later analyze and compare which performs better under different market conditions.
A setup defines the conditions that lead to entering a trade. It's the logic or trigger criteria that signal when to take action. For example, one setup might be a London Session Breakout, where you observe price ranges formed during the early London hours and initiate a trade when price breaks above the high or below the low of that range. Another setup could be a New York Session Breakout, which applies similar breakout logic but to a different time window.
Although both are breakout setups, their performance characteristics can differ. For instance, the London setup might result in fewer fakeouts due to more consistent volatility, while the New York setup might yield larger moves because of news releases or market overlap with the US open. By documenting each setup variation in detail, you can later analyze and compare which performs better under different market conditions.
Trade Management kicks in once you're in the trade. It's about what you do during the trade — how you protect capital, lock in profits, and handle uncertainty. You might experiment with trailing stops that adjust dynamically with price action. Or you could use a fixed risk-to-reward exit, such as closing at 2R. Another approach might involve scaling in or out of positions, adding on confirmation, or setting breakeven stop-loss adjustments after certain levels are hit. Trade management determines the "journey" — how smoothly or roughly your trade reaches its outcome, and whether it survives temporary drawdowns or secures consistent profit.
Trade Management kicks in once you're in the trade. It's about what you do during the trade — how you protect capital, lock in profits, and handle uncertainty. You might experiment with trailing stops that adjust dynamically with price action. Or you could use a fixed risk-to-reward exit, such as closing at 2R. Another approach might involve scaling in or out of positions, adding on confirmation, or setting breakeven stop-loss adjustments after certain levels are hit. Trade management determines the "journey" — how smoothly or roughly your trade reaches its outcome, and whether it survives temporary drawdowns or secures consistent profit.
Trade Management kicks in once you're in the trade. It's about what you do during the trade — how you protect capital, lock in profits, and handle uncertainty. You might experiment with trailing stops that adjust dynamically with price action. Or you could use a fixed risk-to-reward exit, such as closing at 2R. Another approach might involve scaling in or out of positions, adding on confirmation, or setting breakeven stop-loss adjustments after certain levels are hit. Trade management determines the "journey" — how smoothly or roughly your trade reaches its outcome, and whether it survives temporary drawdowns or secures consistent profit.
Exit defines when you close a trade and why — beyond just hitting a stop loss or take profit. Exit logic can include time-based exits (e.g., close after 2 hours if no target is hit), volatility-based rules (e.g., exit on ATR contraction), or event-driven decisions (like closing positions before major economic news). It’s also where you decide whether partial exits are allowed, whether to close at the end of the session, or if you let the trade run into the next day. Think of Exit as your destination — where you finish the journey that began with Entry and was shaped by Trade Management. A good exit logic ensures consistency and prevents emotionally driven decisions.
Exit defines when you close a trade and why — beyond just hitting a stop loss or take profit. Exit logic can include time-based exits (e.g., close after 2 hours if no target is hit), volatility-based rules (e.g., exit on ATR contraction), or event-driven decisions (like closing positions before major economic news). It’s also where you decide whether partial exits are allowed, whether to close at the end of the session, or if you let the trade run into the next day. Think of Exit as your destination — where you finish the journey that began with Entry and was shaped by Trade Management. A good exit logic ensures consistency and prevents emotionally driven decisions.
Exit defines when you close a trade and why — beyond just hitting a stop loss or take profit. Exit logic can include time-based exits (e.g., close after 2 hours if no target is hit), volatility-based rules (e.g., exit on ATR contraction), or event-driven decisions (like closing positions before major economic news). It’s also where you decide whether partial exits are allowed, whether to close at the end of the session, or if you let the trade run into the next day. Think of Exit as your destination — where you finish the journey that began with Entry and was shaped by Trade Management. A good exit logic ensures consistency and prevents emotionally driven decisions.
Last updated on
Feb,
22,
2025
Last updated on
Feb,
22,
2025
Last updated on
Feb,
22,
2025