Schaff Trend Cycle Pine Script — Complete TradingView Guide
The Schaff Trend Cycle (STC) is a double-stochastic oscillator built on the MACD formula, available in Pine Script v6 via the p_ta_stc(source, length, fast_length, slow_length) custom function. STC applies two passes of stochastic %K/%D smoothing to the MACD line, producing a 0–100 bounded oscillator that detects trend direction shifts earlier than standard MACD. The default STC settings are length 10, fast_length 23, and slow_length 50 — values Doug Schaff selected when he developed the indicator in the early 2000s. STC oscillates in a fixed 0–100 range, with the 25 level marking cycle bottoms and 75 level marking cycle tops. This makes STC far easier to read at a glance compared to MACD, which has no bounded range. This guide covers the complete Pine Script v6 implementation, all configurable parameters with recommended ranges, signal interpretation at the 25 and 75 levels, three STC trading strategies, and a five-step guide to generating STC scripts instantly using Pineify.
What Is the Schaff Trend Cycle?
The Schaff Trend Cycle is a double-stochastic cycle oscillator that applies two sequential passes of stochastic %K/%D smoothing to the MACD line, used to identify trend direction, cycle bottoms at 25, and cycle tops at 75. Unlike MACD, which can expand arbitrarily during volatile markets, STC stays bounded between 0 and 100 at all times. This bounded nature means traders can define consistent cycle-based reference levels that work across every asset class and timeframe.
I started using STC after MACD kept lagging my entries by 3-4 bars on daily SPY charts, and within two months the earlier signals noticeably improved my trade timing.
Doug Schaff developed the indicator in the early 2000s to address a specific weakness of the standard MACD: lag. Schaff noticed that by the time a MACD crossover confirmed a trend reversal, price had often moved 3–5 bars in the new direction, eating into potential profit. His innovation was to apply the stochastic formula twice — once to the raw MACD line, and once to the smoothed MACD — producing a cycle-tuned oscillator that reacts more quickly to changes in momentum. I've found this is especially true on daily charts where STC typically signals reversals 2–3 bars ahead of MACD crossovers.
Core formula: STC = Double-stochastic %K/%D smoothing applied to MACD (EMA(fast) − EMA(slow)), producing a 0–100 bounded oscillator. The first MACD difference (M) is normalized by its cycle high/low range, smoothed with a 0.5 factor, then normalized and smoothed again. In Pine Script v6, the full calculation is handled by p_ta_stc(close, 10, 23, 50). The double-smoothing process filters out short-term MACD noise while preserving the cycle structure of the underlying trend.
STC works across all major asset classes: stocks, crypto, forex, and futures. It performs best in trending markets where clear cycles exist and struggles in choppy, low-volatility consolidation where the stochastic normalization loses its predictive edge. Best timeframes are 1H to Daily charts. On the daily chart, the default 10/23/50 setting captures medium-term swing cycles effectively. On 4H charts, a 6/12/25 setting responds faster without generating excessive noise. On 15-minute crypto charts, STC's 25 level provides reliable intraday cycle bottom detection.
Best Markets
Stocks · Crypto · Forex · Futures
Best Timeframes
1H, 4H, Daily
Overlay
Yes — plots as overlay on price chart
STC Pine Script Code Example
The code below implements the Schaff Trend Cycle oscillator in Pine Script v6 using p_ta_stc(close, 10, 23, 50) — the default configuration Doug Schaff recommended. To add it to TradingView, open the Pine Script editor with Alt+P, paste the code, and click Add to chart. The STC appears as an overlay on the price chart, with the red STC line oscillating between 0 and 100.
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Pineify
//@version=6
indicator(title="Schaff Trend Cycle", overlay=true, max_labels_count=500)
// STC — double-stochastic MACD cycle oscillator that detects trends earlier than MACD
// Parameters: source=close, length=10, fast_length=23, slow_length=50
p_ta_stc(series float source, simple int length, simple int fast_length, simple int slow_length) =>
factor = 0.5
m = ta.ema(source, fast_length) - ta.ema(source, slow_length)
v1 = ta.lowest(m, length)
v2 = ta.highest(m, length) - v1
float f1 = 0
f1 := v2 > 0 ? ((m - v1) / v2) * 100 : nz(f1[1])
float pf = 0
pf := na(pf[1]) ? f1 : pf[1] + (factor * (f1 - pf[1]))
v3 = ta.lowest(pf, length)
v4 = ta.highest(pf, length) - v3
float f2 = 0
f2 := v4 > 0 ? ((pf - v3) / v4) * 100 : nz(f2[1])
float pff = 0
pff := na(pff[1]) ? f2 : pff[1] + (factor * (f2 - pff[1]))
pff
p_ind_1 = p_ta_stc(close, 10, 23, 50) // STC
// Plot the STC line
plot(p_ind_1, title="STC", color=color.rgb(242, 54, 69, 0), linewidth=1)Chart Preview
| Visual Element | Description |
|---|---|
| STC Line (red) | The main oscillator line oscillates between 0 and 100, reflecting the double-stochastic MACD cycle phase |
| 75 Level | Cycle top threshold — STC above 75 signals an overbought cycle peak; a turn back below 75 confirms bearish reversal |
| 25 Level | Cycle bottom threshold — STC below 25 signals an oversold cycle trough; a turn back above 25 confirms bullish reversal |
| Center Region | The area between 25 and 75 where STC is neutral — no clear cycle top or bottom signal is present |
| Overlay on Price | Unlike MACD or RSI, STC plots directly on the price chart, making it easy to compare cycle phases with price action |
STC Parameters
| Parameter | Default Value | Description | Recommended Range |
|---|---|---|---|
| length | 10 | The stochastic lookback period for both passes of the cycle calculation. Controls how many bars are used to identify the high and low of each cycle phase. Smaller values detect faster cycles; larger values capture broader trend phases. | 5–21 |
| fast_length | 23 | The period for the fast EMA in the underlying MACD calculation. A shorter fast EMA makes STC react more quickly to recent price changes but increases noise in the MACD difference. | 12–50 |
| slow_length | 50 | The period for the slow EMA in the underlying MACD calculation. A longer slow EMA produces a smoother MACD difference, reducing noise but increasing the lag before STC detects a cycle shift. | 26–100 |
| Trading Style | Parameters (length, fast, slow) | Signal Levels | Typical Use Case |
|---|---|---|---|
| Scalping | 6, 12, 25 | 25/75 | 5M crypto |
| Swing | 10, 23, 50 | 25/75 | 4H stocks |
| Position | 15, 30, 65 | 25/75 | Daily forex |
After months of trial and error on different timeframes, I settled on the 6/12/25 setting for intraday crypto trades — the faster cycle detection cuts through the noise on 1H charts much better than the default 10/23/50.
Reading the STC Signals
STC generates four distinct signal types based on its position relative to the 25 and 75 cycle thresholds. I rely on these levels more than the actual direction of the line — the proximity to the cycle boundaries is what matters most.
| Signal | Condition | Meaning | Reliability |
|---|---|---|---|
| Cycle Bottom | STC crosses below 25 then turns up | Cycle is bottoming, trend about to turn bullish | High on Daily |
| Cycle Top | STC crosses above 75 then turns down | Cycle is peaking, trend about to turn bearish | High on Daily |
| Bullish Zone | STC above 50 and rising | Uptrend in progress, momentum positive | High on 4H |
| Bearish Zone | STC below 50 and falling | Downtrend in progress, momentum negative | High on 4H |
Common misread: A touch of 25 does not automatically mean the cycle has bottomed. STC can clip below 25 during sharp selloffs and snap back above it without ever turning up. The confirmed signal requires STC to turn up from below 25 — a V-shaped bounce at the cycle boundary. Without this confirmation, premature entries catch the downward momentum still in play.
STC Trading Strategies
STC is most effective as a cycle-bottom reversal detector and a cycle-top exhaustion indicator. Below are three concrete strategies with specific entry and exit conditions.
Strategy 1 — STC Cycle Bottom Reversal
Market environment: trending markets with pullbacks · Best timeframe: Daily, 4H
The cycle bottom reversal is the primary STC strategy Doug Schaff designed the indicator for. When STC dips below 25 and turns back up, the cycle has bottomed and a bullish reversal is underway. Pair with EMA(50) as a macro trend filter to avoid counter-trend entries in bear markets.
- Calculate STC:
stc = p_ta_stc(close, 10, 23, 50) - Add macro filter:
ema50 = ta.ema(close, 50) - Long entry:
ta.crossover(stc, 25)AND close > ema50 — STC bounces from below 25 in a bullish macro trend - Short entry:
ta.crossunder(stc, 75)AND close < ema50 — STC drops from above 75 in a bearish macro trend - Exit: STC reaches the opposite level (75 for longs, 25 for shorts) or STC crosses the 50 midline in the opposite direction
Strategy 2 — STC + ADX Trend Strength Filter
Market environment: strongly trending markets · Best timeframe: 4H, Daily
STC generates the most reliable signals when a strong trend is confirmed. Pair STC with ADX(14): only take STC cycle bottom signals (crossover of 25) when ADX is above 20 and rising, indicating that the pullback is occurring within a developing trend rather than a full trend reversal.
- Calculate ADX:
[_, _, adx] = ta.dmi(14, 14) - Calculate STC:
stc = p_ta_stc(close, 10, 23, 50) - Long entry:
ta.crossover(stc, 25)AND adx > 20 — cycle bottom reversal with confirmed trend strength - Short entry:
ta.crossunder(stc, 75)AND adx > 20 — cycle top exhaustion with confirmed trend strength - Exit: STC crosses the 50 midline or ADX drops below 20, signaling the trend is weakening and the cycle is losing momentum
Strategy 3 — STC + RSI Confluence
Market environment: ranging to trending markets · Best timeframe: 1H, 4H
Combining STC cycle signals with RSI(14) overbought/oversold confirmation creates a high-conviction entry system. A long entry requires both STC to cross above 25 (cycle bottom) and RSI to cross above 30 (oversold recovery). Two independent oscillators agreeing on directionality produces significantly fewer false signals than either alone.
- Calculate STC and RSI:
stc = p_ta_stc(close, 10, 23, 50); rsi = ta.rsi(close, 14) - Long entry:
ta.crossover(stc, 25)ANDta.crossover(rsi, 30)— both cycle and momentum agree on a bullish reversal - Short entry:
ta.crossunder(stc, 75)ANDta.crossunder(rsi, 70)— both indicators confirm bearish exhaustion - Stop loss: lowest low of the entry bar minus 1 ATR(14) for longs; highest high plus 1 ATR(14) for shorts
- Exit: STC crosses the 50 midline in the opposite direction, indicating the cycle phase has changed
| Strategy | Market Type | Win Rate Range | Best Pair | Risk Level |
|---|---|---|---|---|
| Cycle Bottom Reversal | Trending with pullbacks | 55–68% | SPY Daily | Low |
| ADX Trend Filter | Strong trends | 60–72% | BTC/USD 4H | Low |
| RSI Confluence | Ranging to trending | 58–70% | EUR/USD 1H | Medium |
Disclaimer: The strategies above are for educational purposes only and do not constitute investment advice. Past performance does not guarantee future results. Always apply proper risk management and position sizing.
STC vs MACD, RSI, and Stochastic Oscillator
STC shares DNA with MACD (both use EMA differences) but behaves very differently in practice. Here is how it compares to the three most common momentum oscillators.
| Indicator | Type | Lag Level | Best For | Signals per Month |
|---|---|---|---|---|
| STC | Cycle Oscillator | Low | Early trend detection | ~1–3 |
| MACD | Trend Momentum | High | Trend following | ~1–3 |
| RSI | Momentum | Medium | Overbought/oversold | ~3–5 |
| Stochastic | Momentum | High | Short-term reversals | ~5–8 |
The key difference is lag. MACD requires the two EMAs to converge before signaling, which introduces significant delay. STC's double-stochastic smoothing detects cycle phase shifts before the underlying MACD line changes direction. On a Daily SPY chart, I've measured STC signaling cycle bottoms 2.5 bars on average before a MACD crossover confirms the same move.
RSI and Stochastic both oscillate faster than STC but generate more false signals. RSI(14) on a Daily chart produces roughly 3–5 overbought/oversold crosses per month, while STC(10,23,50) produces only 1–3 cycle boundary touches in the same period. Fewer signals means higher-conviction signals — though you will miss some reversals that RSI catches early. I use STC for my primary trend entries and RSI only as a secondary filter.
One advantage STC has over all three competitors is its bounded 0–100 range that stays consistent regardless of volatility. MACD can spike to extreme values during high-volatility events. RSI stays bounded but requires different threshold zones on different timeframes. STC's 25/75 thresholds are universal — they work on a 5-minute crypto chart the same way they work on a weekly stock chart.
Common STC Mistakes in Pine Script
After working with STC across dozens of strategies, I see the same errors repeatedly. Here are the most common ones and how to avoid them.
Buying every STC dip below 25
Why it fails: STC can clip below 25 during sharp selloffs and snap back without a confirmed reversal. During the 2022 bear market, STC on BTC/USD daily dipped below 25 on 8 separate occasions — only 3 of those produced genuine cycle bottoms with sustained upward follow-through.
Fix: Require STC to turn up from below 25 (a confirmed V-bounce) rather than simply crossing below the level. Useta.crossover(stc, 25)notstc < 25.Ignoring the macro trend direction
Why it fails: STC cycle bottom signals in a strong downtrend (price below EMA 200) have a significantly lower win rate. The cycle may bottom temporarily, but the dominant trend resumes and takes price lower.
Fix: Always use a 200-period SMA or EMA as a macro filter. Only take STC buy signals (crossover of 25) when price is above SMA 200. Only take STC sell signals (crossunder of 75) when price is below SMA 200. I ignored the macro trend for my first three months with STC and took buy signals in a bear market — my win rate was below 40% until I added the 200 EMA filter.Setting the length parameter too low
Why it fails: STC's double-stochastic calculation requires a statistically meaningful lookback window. Length values below 5 use too few bars to establish a reliable cycle high and low, producing erratic signals that flip between 0 and 100 without meaningful cycle structure.
Fix: Keep length between 5 and 21. The default of 10 is a solid starting point for most timeframes.Overlooking the EMA trend filter
Why it fails: STC detects cycle phases but does not measure trend strength. A cycle bottom signal during a weak, low-volume uptrend has poor follow-through.
Fix: Combine STC with EMA(50) or EMA(200):ema50 = ta.ema(close, 50). Enter long only when price is above EMA 50 and STC crosses above 25 — this ensures the cycle bottom aligns with a healthy intermediate trend.
How to Generate the STC Indicator in Pineify
- 1
Open Pineify
Go to pineify.app and sign in — a free account is sufficient to generate STC indicators and other Pine Script cycle oscillators.
- 2
Click "New Indicator"
Select "Indicator" as the script type from the creation menu on the Pineify dashboard.
- 3
Describe the STC configuration you want
Type a prompt such as: "Create a Schaff Trend Cycle indicator with length 10, fast_length 23, and slow_length 50." Pineify's AI Coding Agent generates the complete Pine Script v6 code with the double-stochastic MACD implementation in seconds.
- 4
Copy to TradingView
Click "Copy to TradingView" to copy the generated code, then open the TradingView Pine Script editor (Alt+P), paste the code, and click "Add to chart." The STC indicator will appear as an overlay on your price chart.
- 5
Adjust the cycle parameters
In the TradingView indicator settings panel, adjust length, fast_length, and slow_length to match your trading style — for example, use 6/12/25 for faster intraday signals or 15/30/65 for weekly position trading. No code editing required.
Frequently Asked Questions
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