Trend Trigger Factor: Formula and TradingView Signal Interpretation

Trend Trigger Factor compares price extremes across two consecutive windows. Its “buying” and “selling” pressure terms are derived from highs and lows, not observed buyer or seller identities. Read the exact implementation before using threshold levels as strategy rules.

Formula and range

Let H and L be the current window's highest high and lowest low, and PH and PL the corresponding values in the immediately preceding window of equal length. The Pineify implementation calculates:

• Buying-pressure term: H − PL.
• Selling-pressure term: PH − L.
• TTF: 100 × (buying-pressure term − selling-pressure term) / [0.5 × (buying-pressure term + selling-pressure term)].

The denominator is not simply the previous window's range. TTF is not confined to −100 through +100. A zero denominator or insufficient history also needs attention when inspecting the output.

LazyBear's published TradingView implementation credits M. H. Pee with introducing TTF. Its described trend-following system uses ±100 thresholds and retains the current position between them. That is different from automatically exiting whenever the reading returns to the middle zone.

Pineify settings and display

The current Pineify indicator configuration uses a default length of 15 and drawing thresholds of +100 and −100. Open the indicator editor, find Trend Trigger Factor, review the settings, generate the script, then inspect and apply it in TradingView. Availability depends on the product entitlement; the configuration is not marked as a free indicator.

The optional crossover coloring has a specific meaning: the long-colored marker is an upward crossing of the lower threshold, while the short-colored marker is a downward crossing of the upper threshold. These visual events are different from entering long above +100 or short below −100. Do not assume a display color silently implements your intended order rule.

Define a strategy separately

Decide whether you are testing the original trend-following thresholds, a return-from-extreme rule, or another hypothesis. Specify entry events, what to do in the middle zone, reversal behavior, exit rules, size, and costs. Waiting for a closed bar changes the timing and should be stated explicitly.

A chart indicator does not itself create a complete backtest or place a broker order. If generating a strategy, verify each condition and compare the trade list with the chart. Changing thresholds while viewing the same history can overfit the sample.

Evaluate settings

A 15-bar length uses fifteen bars of the selected chart interval, not necessarily fifteen days. Shorter windows can react sooner but fluctuate more; longer windows can smooth changes but delay them. There is no verified table of best lengths for scalping, swing trading, or crypto here.

The old AAPL lead-time example, BTC whipsaw experience, ES performance claim, and parameter-testing anecdotes had no reproducible records. Treat TTF as a defined price calculation, then test its incremental value against a baseline on untouched data rather than assuming it predicts reversals earlier than RSI or moving averages.