Showing posts with label Swing Trading. Show all posts
Showing posts with label Swing Trading. Show all posts

Wednesday, December 3, 2025

S&P 500 Now Declining into 18-Month Hurst Cycle Low | Ahmed Farghaly

Major asset classes (equities, metals, cryptos) are entering the final phase of their current 18-month cycles (beige-yellow in first chart below), with synchronized troughs expected from late January into early March 2026. 

S&P 500 / US Equities: The August 2024 trough is identified as the 54-month cycle low. The brief break beneath it in April 2025 is viewed as a false Trump—“Liberation Day”—Tariff straddle and the first 40-week/9-month cycle trough within the current 18-month cycle. Since that time, price action has built a clean sequence of 20-day, 40-day, 80-day, and 20-week cycles. 

S&P 500 (daily closes); 2020 to December 2025: The Big Picture. 
 
S&P 500 (daily bars); September to December 2025: Last stage of the 18-month cycle.
The current 20-day cycle (magenta) ideally bottoms on December 7 (Sun), and the 40-day cycle (red) on December 23 (Tue).
 
The market has completed the latest 80-day trough on November 21 (Fri) and has now entered the final 80-day cycle before the 18-month (beige-yellow) low, which is due around mid to late January 2026 (second chart above). A rally out of the 80-day cycle low into December, but without a new all-time high, was expected because the broken 20-week VTL typically marks the 40-week peak (see first chart). 
 
An early December high remains likely before a meaningful decline into the 18-month trough. This forthcoming weakness is regarded as a mid-cycle correction within the still-intact 54-month cycle upswing. Strong gains are projected for Q2–Q3 2026 as the new 18-month cycle rises.

Reference:
Ahmed Farghaly (December 1, 2025) - Hurst Cycles Update: S&P 500, US Dollar, Gold, CRB Index, Interest Rates, Bitcoin. (video)


See also:

Monday, December 1, 2025

2026 S&P 500 Midterm Election Year Patterns by Political Party | Robert Miner

The Midterm Election Year typically performs the worst in the four-year election cycleThe chart below illustrates the average Midterm Election Year performance of the S&P 500 since 1950, categorized by first-term political party (1st Term Democrats1st Term Republicans):

Winter High – Summer Low –  Bull into Year-End.
First week of January: Major high (around +0.5%)
Second week of February: Major low (around -4%)
Mid-April: Major high (around +3%)
First week of August: Major low (around -6%)
Last week of 2026: Major high (around +8%)
Net Long-term Average of Midterm Election Year Performance under 1st-Term Republicans: +3%.
 

Tuesday, September 16, 2025

W.D. Gann’s Famous 1929 DJIA Forecast: How Accurate Was It?

On November 23, 1928, W.D. Gann released his 1929 Annual Forecast for the Dow Jones Industrial Average (DJIA) to subscribers. Published on the eve of what would become one of Wall Street’s most catastrophic years, the forecast used Gann’s time-and-price methods to anticipate market swings.
 
W.D. GANN SCIENTIFIC SERVICE INC.
1929 Annual Stock Market Forecast, November 23, 1928.
 
To evaluate the forecast's quality, projected dates of swing highs and lows from Gann’s 1929 chart were compared with actual DJIA daily closes during 1929. A trading test was conducted: short at each forecasted high and cover at the next low, then reverse to long on the same date and price, exiting at the following high, and so on. 
 
Across 49 completed long and short trades, gains and losses were measured in points—exit minus entry, adjusted for shorts—and expressed as percentages relative to the starting level of 307.0 points, based on the first short trade entered on January 2, 1929.
  
Number of trades: 49 (24 long, 25 short). Win rate: 51.02% (25 winners, 24 losers). Max consecutive wins: 3; Max consecutive losses: 4. Trade duration (days): average 7.46; median 6.75; range 2–22. Average return per trade: 1.17% (best +19.54%, worst −6.58%). Drawdowns: absolute 0.00%; relative 6.58%; maximum 9.92%. Net annual return: +59.18%.
Very extraordinary and remarkable in many ways. Flip your own coin.

Blindly trading all the projected swings in Gann’s chart through December 31, 1929, would have produced a cumulative net annual profit of 171.7 points (59.18%) with no absolute drawdown. 
 
 
 
» What Gann wrote in his courses and what he traded were two very different things. «  
 
He relied on a remarkably blunt and straightforward bread & butter strategy
Trading double tops and lows in the direction of the daily trend.
 
  » Maybe the lesson for all of us is to keep things as simple as possible. «  
 

Tuesday, August 5, 2025

Insights into J.M. Hurst's 40-Week Cycle AKA the 9-Month Cycle

The 40-week cycle, also known as the 9-Month Cycle, is a cornerstone of J.M. Hurst’s Cyclic Theory, developed during the 1960s and 1970s to forecast financial market movements through harmonic cycles. Spanning approximately 272.8 days from trough to trough, it consists of two 20-week cycles (19.48 weeks or 136.4 days each). The 40-week cycle is additionally subdivided into four 10-week or 80-day cycles (68.2 days), eight 40-day cycles (34.1 days), sixteen 20-day cycles (17 days), thirty-two 10-day cycles (8.5 days), and sixty-four 5-day cycles (4.3 days), forming one nested structure essential for swing and position trading. 

This idealized 40-Week Cycle (purple) of 272.8 calendar days is divided into two 20-week cycles (teal), each
of which is further divided into two 10-week cycles (blue), highlighting the complete nested harmonic structure.

Note that the 40-week cycle is itself half of the 18-month cycle, which in turn is one-third of the 54-month cycle—half of a 9-year cycle—and so on. The 40-week cycle’s intermediate-term horizon captures significant market swings, making it ideal for timing entries at troughs and exits at peaks, especially when aligned with shorter cycles (10-week, 20-week) or longer cycles (18-month, 54-month). 
 
The nominal 40-Week Cycle as a part of greater Hurst cycles.
 
Current S&P 500 Hurst Cycles: Long-term, 18-year cycle upward, peaking 2028-2030, trough by 2036; 9-year cycle bullish, peaking 2026-2027, trough 2028-2030; 54-month sub-cycle upward, trough December 2026. Medium-term, 40-week cycle bullish; 20-week cycle downward, trough late August/early September 2025. Short-term, 80-day, 40-day, 20-day cycles downward, synchronous, with troughs August 18-20 (20-day), August 22-26 (40-day), end September (80-day). Considering over 300 years of US stock market data, major troughs occurred in 2008 (72-year), December 2019 (9-year), with 18-year trough expected ~2029. Longer-term 36-, 72-, 144-year cycles exert gradual influence; 144-year cycle, bottomed 1932, now declining, though markets may rise before full impact. 
 
54-month, 18-month, and 40-week cycles in the CAD/USD (weekly bars), 2020-2025.

 
Bitcoin (monthly bars): 18-month and 54-month cycle peaks and troughs, 2018-2027.
 
In bear markets, the cycle’s crest occurs early (second to third month, left translation), with a brief rise and prolonged decline; in bull markets, the crest shifts later (sixth to eighth month, right translation), leading to a longer advance. The strongest rallies typically occur in the first three months when cycles align upward, while the last three months are vulnerable to renewed declines. 
 
Why the turning points of individual long-term cycles typically diverge—often significantly—from the composite 
or summation cycle of the three to four most prominent cycles (red), and thus from actual market price extremes.

 Hurst's nominal model allows for significant variability in actual cycle lengths
 
Hurst's Nominal Model  can be displayed as a series of sinusoids (x-axis) with different amplitudes (y-axis) that, when summed, create a composite model, represented by the thick black line in the following charts. J.M. Hurst's concept, termed "sigma-l," represents the sum of all cycles within a system, assuming an infinite series of cycles with increasing periods. This underlying trend, conceptualized as the sum of sinusoidal functions, is dynamic and never static. It may appear flat during sideways consolidations of shorter cycles, but this reflects the influence of a much larger cycle, relative to the cycle in focus, turning upward or downward.
 
40-Week Cycle without or neutral trend.
 
The above flat or neutral model of a 40-week cycle assumes a non-existent sigma-l, meaning its value is zero. In real markets, this is never true but may be approximated when a much longer cycle is turning upward or downward.

 40-Week Cycle with bullish trend.
 
The above bullish model of a 40-week cycle features a positive underlying trend that modulates the composite summation, causing already bullish FLD interactions to significantly exceed upside targets. Interactions previously expected to meet downside targets will now be undershot.

 40-Week Cycle with bearish trend.
 
The above negative model of a 40-week cycle features a bearish (negative) underlying trend that modulates the composite summation, causing already bearish FLD interactions to significantly exceed downside targets. Interactions previously expected to meet upside targets will now be undershot.
 
The addition of an underlying trend impacts the summary status 
of each interaction in the series, influencing decisions. 

The tabulation above summarizes each 20-day FLD interaction within the idealized 40-week period, based on the previously described neutral, bullish and bearish models. M-Sigma indicates the trade direction and strength of interactions when the underlying trend is assumed to be zero, representing a localized subset of the underlying trend.
 
Subsequent summary columns reflect the differences when the underlying trend is bullish or bearish, providing a truer representation of Sigma-L. This better aligns with real price action in financial markets.
 
When accounting for the underlying trend, the summary columns show that in a bullish scenario, trends previously labeled as "risk buy" become standard "buys," some "buys" escalate to "strong buys," and so forth. The underlying trend amplifies bullish signals and weakens bearish signals. Conversely, a bearish underlying trend has the opposite effect.

Example of an 18-month cycle projection for the current S&P 500 in the chart below: 
 
18-Month Cycle Projection for the S&P 500 based on Hurst's Nominal Model:
A 9-year cycle trough hit in December 2019, followed by the March 2020 pandemic 18-month cycle trough. The 54-month cycle trough of October 2022 is rising, set to peak in early 2026. The 9-year cycle, likely peaked in 2023, is declining, but slow movement maintains bullishness, possibly linked to an 18-year cycle trough. An 18-month cycle trough formed in early April 2025. 
 
The orange line is the 18-month cycle (17.93 months = 546.6 calendar days), the light green the 40-week cycle (9 months = 38.97 weeks = 272.8 days), dark green the 20-week component (4.5 months = 19.97 weeks = 136.4 days), light blue the 10-week cycle (= 68.2 days), dark blue the so called 40-day or 5-week cycle (= 34.1 days) and finally the so called 20-day cycle (17 days) is the purple sinusoid. The X axis represents the number of calendar days. 
 
In the S&P 500, April 7, 2025, was an 18-month cycle low, and the next 
40-week cycle troughs are estimated for early 2026 and late Q4 2026.

The wavelengths in the above S&p 500 projection are average values rather than exact measurement. The thick black composite line ignores the effects of both the trend and cycles shorter than 20 days or longer than 18 months. Assuming the US stock market operates with clockwork precision (which it does not, see Hurst's Principle of Variation), the dates for upcoming peaks and troughs were calculated from the 18-month cycle trough on April 7, 2025, and the aforementioned average cycle lengths. 
 
is projected to peak on August 19, 2025, according to Sigma-I.net.
 
See also:

Saturday, August 2, 2025

17-0 Turn-of-Year S&P 500 Setup with 7.1% Average Gain | Wayne Whaley

After the 20% pullback in the S&P 500 that occurred from February 19 to April 8, May, June, and July each posted positive returns of 6.2%, 5.0%, and 2.1%, respectively. In the 75 years following 1950, there have only been 17 instances in which the traditional "Sell in May and Go Away" period was marked by three consecutive positive months (May, June, and July): 

 From October 12 to October 27, the performance was 2 wins to 15 losses, with an average loss of 3.0%.
From October 27 to January 18, the record was 17-0, with an average gain of 7.1%.
 
Looking at the following 12 months, from August through July, the outcome was favorable, with a record of 14 wins and 3 losses in this setup. The average gain over this period was 12.6%, compared to a more typical yearly gain of 9.5%.

Interestingly, the only negative month during the following year was October. Specifically, from October 12 to October 27, the performance was 2 wins to 15 losses, with an average loss of 3.0%. However, from October 27 to January 18, the trend reversed dramatically, posting a perfect 17-0 record with an average gain of 7.1% over 11.7 weeks.

Thursday, July 17, 2025

ICT Intraday Liquidity & Volatility Trading Playbook │ JadeCap

This strategy focuses on how price reacts to liquidity and volatility during the trading day. Liquidity refers to the areas on a chart where other traders have placed stop-loss orders, usually just above recent highs or just below recent lows. The market often moves into these areas to trigger those stops, and then either reverses sharply or continues strongly in the same direction.

Trade Example - NQ Short (1-H Chart)
 
The goal of this strategy is to spot those liquidity grabs, wait for a clear reaction, and then enter with confidence—either to trade the reversal or the continuation. The method is built for traders who prefer to focus on one trading day at a time, using clear logic, session structure, and precise timing.
 
On this episode of Chart Fanatics we are joined by Kyle Ng (AKA Jadecap). Regarded as ICT's best student and recently achieved a world record payout with Apex. Kyle reveals his complete ICT playbook that allowed him to generate millions from the markets. In this episode you'll learn how to manage open exposure and lock in profits, how to predict the next daily candle and the psychology behind avoiding greed in a trade. Riz Iqbal, May 15, 2025.

Each trade begins with a daily bias: a simple outlook on whether price is likely to move up or down today. Then the trader watches for session liquidity raids (like the Asian or London session highs/lows being taken out), and enters only after confirmation appears through a fair value gap, market structure shift, or divergence between markets. This model works well for intraday trades but can also be used for swing trades when the higher time frame aligns with the setup.

To take a trade using this model, the following must be true:

Clear Daily Bias: Decide if you’re bullish or bearish for the day using the daily chart.
Consider recent highs, lows, inefficiencies, and where the price is likely to go next.
Session Liquidity Zones Marked: These are common stop zones and entry traps:
Previous Day’s High and Low
Asian Session High/Low
London Session High/Low
Wait for a Liquidity Raid: A key session level must be taken out during the New York session — this is your signal
that stop orders have been hit and a potential move is beginning.
Confirmation on Lower Time Frame (15m / 5m). After the liquidity raid, wait for one of these confirmations:
Fair Value Gap (FVG)
Market Structure Shift (MSS)
Turtle Soup (false breakout and reversal)
Breaker Block
Ideal Time Window
Trade setups should form between 9:30 and 11:30 AM EST/EDT.
 
Key Differences Between Internal and External Liquidity.

Target & ExitYour target depends on the setup type. Intraday Targets: Opposite session liquidity, fair value gaps, or  equal highs/
lows. If the trade slows near midday, consider exiting  even before the full target is reached.
Swing Targets: Use higher time frame liquidity zones (daily/weekly highs or lows), imbalances, or major structure. 
Swing trades can be held for multiple days as long as the bias and structure support it. Use time-of-day awareness, price behavior, and your risk profile to decide whether to hold or exit early.

Pros & Cons of the Strategy
This model is designed to deliver high quality, repeatable setups — but like any trading method, there are key things to understand before using it. Note: The cons listed here aren’t disadvantages. They are things to be aware of — important characteristics that require patience, discipline, and proper management to make the model work effectively.
 

Trade Example - NQ Short (15-Min Chart)

Reference:
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If markets continually trend higher, any run on short-term highs should only be seen as short term liquidity being taken. Any retracement lower should be framed as a return to internal range liquidity prior to continuation.This keeps you on the RIGHT side of the market and you stop anticipating major reversals. Never try to pick tops and bottoms. Leave that to the big boys. We only want to ride their coattails. JadeCap's Trading Room, July 16, 2025.
 
Looking for Tuesdays highs on ES. JadeCap's Trading Room, July 17, 2025, 9:03.
 
I stopped adding new concepts and tools and just focused on properly executing what I've already learned. A few lines, context, and ironclad risk management. Stop focusing on the P&L and the size of your trades. If you can trade 1 micro you can trade 10 minis. But you can't do that at scale without a solid PROCESS. JadeCap's Trading Room, July 17, 2025, 14:47