Trading Strategy Builder Build Your Process, Prove Your Edge.
For discretionary traders — no code, no backtesting, no algorithms.
Define your trading process visually. Score your conviction before each trade. Measure which strategies actually produce results - across stocks, forex, crypto, and futures.
No credit card Free during Open Beta Visual · No-Code · Versioned
What is a trading strategy?
A trading strategy is a structured set of rules that defines when to enter a trade, when to exit, how much to risk, and under what conditions to stay out entirely. It turns subjective market reading into a repeatable decision process - covering market context, entry criteria, position sizing, and risk management.
Trading strategies range from fully automated algorithms to entirely discretionary approaches. The most common types include:
Ride momentum in the direction of the prevailing trend using moving averages, breakouts, or price action.
Trade the expectation that price will return to an average or equilibrium after overextending.
Enter when price breaks through key support or resistance levels with volume confirmation.
Capitalize on strong directional moves using indicators like RSI, MACD, or relative strength.
Capture small price movements with high-frequency entries on short timeframes (1-15 minute charts).
Hold positions for days to weeks, targeting multi-day price swings using daily and 4-hour charts.
Regardless of type, every effective trading strategy answers three questions: what conditions justify entry, how much capital to risk, and when to exit - whether the trade wins or loses.
Why build a trading strategy?
Whether you already have a defined process or trade on instinct, the gap between knowing your strategy and measuring it is where most traders lose their edge. You check the trend, glance at volume, eyeball a level, and decide. Some days it works. Some days you skip steps, chase entries, or size up on FOMO. Without a structured process, you can't tell whether your losses come from bad setups or broken discipline.
A trading strategy builder turns your decision-making into an explicit, repeatable process. Not a backtest script or an algorithm - a structured workflow that walks you through your own pre-trade checklist: the observations, confirmations, and risk checks that define your edge.
The goal isn't automation - it's quantified discipline. After 30+ executions, your strategy data reveals which steps correlate with winning trades, where you skip critical checks, and what your conviction threshold should be for high-probability entries.
"The difference between amateur and professional traders is not intelligence or information - it's process. Professionals have a defined, repeatable method they follow regardless of emotion." - Mark Douglas, Trading in the Zone, 2000
Design your process
Add groups and steps - scored inputs, checklists, yes/no gates, and decision forks. Link each step to a hashtag for automatic pattern tracking.
Execute with discipline
Walk through your strategy before each trade. The runner computes a live conviction score as you answer - quantifying your confidence in the setup.
Measure what works
After 30+ executions, see which strategies produce edge, which steps you skip, and where your conviction correlates with actual P&L.
How the strategy builder works.
Design your process visually, then execute it step-by-step before each trade. See how to build your first strategy below.
Identify trend direction
#trend-directionEach strategy in My Trading Force is a visual workflow of scored inputs, checklists, and decision gates. The builder computes conviction and adherence in real time - giving you a quantified answer to "should I take this trade?" before you risk capital.
Free during Open Beta · No credit card required
Not just for day traders
Multi-timeframe breakout strategy for swing positions (2-10 day hold). Requires daily trend alignment, 4H consolidation pattern, volume expansion on breakout candle, and R:R minimum 2:1. Skip if weekly is in distribution or earnings within 5 days.
Trades taken with conviction above 75% have a 82% win rate vs 41% when below. The "volume expansion" step is the strongest predictor - skipping it correlates with 3x more losses. Adding a "no earnings within 5 days" gate in v2 eliminated the worst 4 losses.
Whether you scalp 5-minute charts or hold positions for weeks - the strategy process is the same.
What makes this strategy builder different.
Most trading strategy tools are built around automated backtesting and code. My Trading Force is a free strategy builder for discretionary traders - the ones who make decisions, not algorithms. It quantifies the human process that no backtest captures.
Visual Flow Designer
Design your strategy as a visual graph with groups, steps, and decision branches. Drag nodes, rewire connections, and see your entire process at a glance. No code required.
Conviction Scoring
Each scored step contributes to a live conviction composite. After 30+ executions, correlate your conviction at entry with actual P&L to find your personal threshold.
Adherence & Discipline Tracking
Required steps enforce your rules. The adherence score shows how consistently you follow your own process - surfacing discipline drift before it costs you money.
Decision Trees & Branching
Model conditional logic with decision steps. Route to different paths based on market context - "trend confirmed?" routes to entry criteria; "no" routes to no-trade. Your strategy mirrors how you actually think.
Example step hashtags from real strategies - link any step to a hashtag for automatic tracking:
Who needs a trading strategy builder?
Pair the strategy builder with the free trading journal to track every execution, attach screenshots, and see how your strategies perform over time.
How it compares to other approaches.
Most traders track their strategy in a spreadsheet, use Pine Script for automated backtesting, or don't track at all. Here's how a visual strategy builder compares.
| Capability | MTF Strategy Builder | TradingView / Pine Script | Spreadsheet | No System |
|---|---|---|---|---|
| Visual strategy design | ||||
| Conviction scoring | Manual | |||
| Step-skip analysis | ||||
| Automated backtesting | ||||
| Discretionary process support | Manual | Mental | ||
| Decision branching | Code only | |||
| Version control | ||||
| No coding required | ||||
| Free | Freemium |
What 30 executions reveals.
After enough strategy runs, the data shows which steps matter, where your discipline breaks down, and what conviction level separates winners from losers.
| Conviction Range | Trades | Win Rate | Avg R |
|---|---|---|---|
| 80-100% | 12 | 83% | +2.1R |
| 60-79% | 14 | 64% | +1.2R |
| 40-59% | 8 | 38% | −0.4R |
| Below 40% | 4 | 25% | −1.8R |
| Step Skipped | Times Skipped | Win Rate When Skipped |
|---|---|---|
| #volume-profile | 9 | 22% |
| #position-size | 5 | 40% |
| #RSI | 12 | 58% |