What Is Timing Solution?
Timing Solution is a specialized financial market analysis and forecasting software developed by a research team led by Sergey Tarasov. Unlike conventional technical analysis platforms (MetaTrader, TradingView, Amibroker), Timing Solution does not focus on traditional indicators like moving averages, RSI, or MACD. Instead, it is built around one central goal: finding cycles and recurring patterns in historical price data and using them to generate a projection line — a forecast of probable future market direction.
The software has been developed since the early 2000s and has attracted a dedicated following among traders, researchers, and analysts interested in cycle-based market timing — particularly those working with medium-to-long term forecasting on stocks, indices, commodities, forex, and cryptocurrencies.
What distinguishes Timing Solution from other cycle analysis tools is its commitment to academic and statistical standards for model verification. The team explicitly states that their accuracy numbers, while lower than typically advertised by other vendors, are statistically validated through Walk Forward Analysis — a rigorous out-of-sample testing methodology borrowed from quantitative finance.
The Core Concept: The Projection Line
Everything in Timing Solution revolves around the projection line — a calculated curve that represents the software’s forecast of future price direction based on identified cycles and patterns.
The projection line is not a price prediction in absolute terms. It shows the relative direction of expected market movement — up, down, flat — over the forecast period. Traders use the projection line as a timing guide: when to look for long entries, when to expect tops or bottoms, when to stay out of a trade.
Creating a projection line involves three steps:
- Identify cycles present in historical price data (using Spectrum, Astronomy, or other modules)
- Build a model combining the most statistically significant cycles
- Verify the model using Walk Forward Analysis to confirm it works on out-of-sample data
The key term in Timing Solution is LBC (Learning Border Cursor) — the dividing line between the historical data used to train the model (in-sample) and the future period being forecasted (out-of-sample). The LBC concept is central to avoiding curve-fitting, where a model appears to work perfectly on past data but fails completely on new data.
Walk Forward Analysis (WFA) — Why It Matters
Walk Forward Analysis is the most important concept separating Timing Solution from simpler cycle analysis tools. It is the standard verification methodology in institutional quantitative finance.
The process works like this:
- Set the LBC to a date in the past (e.g., January 1, 2015)
- Build a model using only data before that date
- Generate a projection line for the period after that date
- Compare the projection line to what actually happened
- Move the LBC forward by one period (e.g., to April 1, 2015)
- Repeat the entire process
- Collect correlation statistics across dozens or hundreds of iterations
The result is a statistically honest assessment of whether a model actually forecasts future data — not just how well it fits historical data after the fact. The typical correlation between a Timing Solution projection line and actual market movement is 0.05 to 0.15 (5–15% explanation of variance). This sounds modest, but the team emphasizes it is honestly derived without future data leakage — and that even a small consistent edge, properly exploited, can be profitable over time.
Walk Forward Efficiency (WFE) is the summary statistic — ranging from 0% to 100%, where 100% means all WFA steps showed positive correlation between forecast and actual price, and 50% means the model performs no better than random. A model with WFE > 60% is considered promising.
Analysis Modules
Spectrum Analysis
Spectrum analysis is the mathematical search for cycles in price data. Timing Solution applies Fourier transform and related methods to decompose the price history into its constituent frequency components — identifying which cycle lengths (periods) have historically been most significant.
The Spectrum diagram displays cycle strength on the Y-axis against cycle period on the X-axis. High, narrow peaks represent strong, consistent cycles. Wide, low peaks represent weak or inconsistent periodicities.
What makes a good cycle to use in a model:
- High amplitude (tall peak) — the cycle has significant influence on price
- Narrow width — the cycle is consistent in its period, not wandering
- Red circles vs blue circles in the Timing Solution interface indicate strong vs weak cycles
Users select the most promising cycles from the spectrum, combine them into a composite projection line, and verify the combination using WFA.
Target functions for spectrum analysis include various oscillators and price transformations:
- Relative Price Oscillator (RPO) — commonly used; removes trend to focus on cyclical component
- Raw price changes
- Log returns
- Custom-defined oscillators
Q-Spectrum Module
Q-Spectrum is Timing Solution’s proprietary enhancement of classical spectrum analysis. It combines Fourier transform (the mathematical cycle-extraction tool) with Walk Forward Analysis (the financial verification standard) in a single integrated workflow.
Classical Fourier analysis, when applied to financial data, has a significant weakness: it assumes all cycles persist forever with constant amplitude and phase. Financial markets do not behave this way — cycles emerge, strengthen, weaken, and disappear as market structure changes. Applying classical Fourier to stock data often produces “curve fitting” — cycles that explain the past perfectly but have no predictive power.
Q-Spectrum addresses this by filtering identified cycles through WFA. Only cycles that demonstrate genuine out-of-sample predictive power are retained for the projection line. This makes Q-Spectrum models more robust than classic spectrum models, at the cost of being more computationally intensive.
Q-Spectrum is available in the TS Advanced version and as part of the Terra Incognita subscription.
Astronomy Module — Astronomical Cycles
The Astronomy module implements one of Timing Solution’s most distinctive (and controversial) analytical approaches: using planetary positions, aspects, and astronomical cycles as potential market timing indicators.
The theoretical basis is that celestial cycles — lunar phases, planetary conjunctions, solstices, equinoxes, eclipses — correspond to recurring patterns in human collective behavior, which in turn influence financial markets. Timing Solution takes no position on why this might be true; it simply provides tools to test whether statistical correlations exist in any specific dataset.
ULE (Universal Language of Events) is the underlying framework. Any astronomical event can be defined as a ULE event and tested for its historical correlation with market movements. The Efficiency Test module calculates statistical significance using Chi-square testing — showing how many times the market rose vs. fell in the days following any defined astronomical event, compared to a random control group.
Available astronomical cycles include:
- Moon phases (New Moon, Full Moon, quarters)
- Solar-lunar aspects (conjunction, opposition, quadrature)
- Planetary aspects (Sun-Saturn, Jupiter-Saturn, Venus-Mercury, etc.)
- Geocentric and heliocentric positions
- Eclipses and major astronomical events
- Custom combinations of multiple events
Important: The Astronomy module is a statistical research tool, not a belief system. Users test whether historical correlations exist for specific instruments. Some instruments show statistically significant correlations with certain astronomical cycles; others show none. The WFA framework ensures that only genuine predictive correlations — not coincidental historical patterns — inform the projection line.
Neural Network Module
The Neural Network (NN) module applies machine learning to the forecasting problem. Rather than manually selecting cycles, the Neural Network automatically searches for relationships between any set of defined inputs (cycles, astronomical events, indicators) and the price target.
How it works:
- Define inputs — cycles extracted from spectrum, astronomical events defined in ULE, technical indicators
- Define output — what to forecast (typically a price oscillator like RPO50)
- Train the network on historical data before the LBC
- Evaluate the network’s projection line quality on out-of-sample data
The Neural Network can handle thousands of inputs simultaneously, finding complex non-linear relationships that simpler models cannot. However, this power brings the risk of overtraining — the network memorizes the historical data rather than learning genuine patterns. Timing Solution addresses this through:
- Careful control of training duration (avoid training too long)
- Back Testing module that runs WFA across the entire available history
- Monitoring out-of-sample performance during training
The NN module is available in TS Standard and TS Advanced (not in Timing Solution Primo).
Wavelet Analysis
Wavelets extend classical spectrum analysis by accounting for the non-stationarity of financial cycles. A standard Fourier spectrum assumes cycles are constant throughout the entire price history. Wavelet analysis produces a time-frequency representation — showing not just which cycles exist, but when they were active and when they faded.
The wavelet diagram shows cycle period on the Y-axis and time on the X-axis, with color indicating cycle strength. Red zones show periods when a particular cycle was strong; blue zones show when it was absent.
This is particularly valuable for identifying currently active cycles — cycles that are strong near the LBC are more likely to remain relevant for the near-term forecast than cycles that were strong 20 years ago but have faded recently.
The Wavelet Cycle Hunter tool automatically identifies the most currently active cycles from the wavelet analysis, streamlining the process of selecting inputs for the projection line.
Intermarket Analysis Module
Intermarket Analysis compares the price behavior of one instrument against another to find leading indicators — instruments whose price movements tend to precede movements in the target instrument by a consistent time offset.
Classic intermarket relationships include:
- Bond yields leading equity market turns
- Commodity prices leading inflation-sensitive sectors
- Currency movements leading international equity indices
- One stock leading its sector index
The module allows testing of any instrument-pair relationship and calculating the optimal time offset (lead/lag) between them. If instrument A consistently leads instrument B by 6 weeks, a position in instrument B can be timed using the current movement in instrument A.
Composite Model Builder
Once individual projection lines are generated from multiple modules (spectrum cycles, astronomical cycles, neural network, intermarket), Timing Solution provides tools to combine them into a composite projection line. Combining independent models that each have small but positive WFE often produces a more stable combined forecast than any single model alone.
Software Editions
Timing Solution Primo
Entry-level version. Includes basic spectrum analysis, astronomical cycles, and fundamental forecasting tools. The Neural Network module is not included. Best for users new to cycle analysis who want to explore the methodology before committing to higher tiers.
Timing Solution Standard
Adds the Neural Network module to all Primo features. Suitable for experienced traders who want full access to the core analytical toolkit. Includes Walk Forward Analysis for all main modules.
Timing Solution Advanced (TS Advanced)
The complete desktop platform. Includes all Standard features plus:
- Q-Spectrum (proprietary WFA-integrated spectrum analysis)
- Terra Incognita experimental modules access
- Advanced model combination tools
- Full back testing framework
- All currently developed modules
For serious researchers and professional traders, TS Advanced is the recommended version.
Terra Incognita Subscription
A separate subscription providing access to experimental modules under active development. These are techniques not yet fully validated for production use — the “research lab” of Timing Solution. Modules include early implementations of new mathematical approaches being tested by the development team. Available as an add-on to TS Advanced.
TS Mobile
An online web-based service providing simplified analysis on a broad universe of financial instruments (100,000+). Useful for screening multiple instruments simultaneously for cyclical patterns. Provides a subset of the desktop platform’s analytical capabilities without requiring software installation.
Supported Data and Instruments
Timing Solution works with any historical price data that can be imported in standard formats:
- Data formats: ASCII/CSV (date, open, high, low, close, volume), MetaTrader formats, various broker export formats
- Instruments: Stocks, stock indices (S&P 500, Nasdaq, Dow Jones, DAX, etc.), commodities (gold, crude oil, agricultural), forex pairs, cryptocurrency, bonds, futures
- Timeframes: Intraday (tick through hourly), daily, weekly, monthly
The software includes a data downloader for fetching historical data from online sources (Yahoo Finance, Stooq, and others) directly into the application.
Timing Solution vs. Other Cycle Analysis Tools
| Feature | Timing Solution | PrescienTrader | Foundation for Study of Cycles | Manual Cycle Analysis |
|---|---|---|---|---|
| Spectrum / FFT analysis | ✅ | ✅ | Manual | Manual |
| Walk Forward Analysis | ✅ Industry-leading | ✅ | ❌ | ❌ |
| Neural Networks | ✅ | ❌ | ❌ | ❌ |
| Astronomical cycles | ✅ Extensive | ❌ | Limited | Manual |
| Wavelet analysis | ✅ | ✅ | ❌ | ❌ |
| Intermarket analysis | ✅ | ❌ | Limited | Manual |
| Projection line output | ✅ | ✅ | ❌ | Manual |
| Statistical verification | ✅ Rigorous WFA | ✅ | Limited | None |
| ULE framework | ✅ Proprietary | ❌ | ❌ | N/A |
| Learning curve | High | Medium | Low | Manual |
| Platform | Windows desktop | Windows desktop | Web | N/A |
Practical Limitations and Honest Assessment
Timing Solution is transparent about the limitations of its approach — which is itself unusual in the trading software market:
What the projection line is NOT:
- Not a trading system (no entry/exit signals, no position sizing)
- Not a price prediction in absolute terms
- Not consistently accurate — expected WFE of 60–70% means 30–40% of forecast periods will be wrong
What it IS:
- A probabilistic timing framework — identifying periods where the market is more likely to trend up or down based on historical cycle analysis
- A research platform — for testing hypotheses about market cycles rigorously
- A complement to other analysis — most users combine Timing Solution forecasts with technical analysis, fundamental analysis, or other tools for trade decision-making
The development team regularly publishes model forecasts on their website with full transparency about methodology and accuracy statistics, allowing users to evaluate real-world performance before purchasing.
Frequently Asked Questions
Does Timing Solution work for intraday trading? Yes, but with modifications. For intraday data, the Turbo Cycles module extracts the most significant short-term cycles automatically and updates the projection line in real time as new data comes in. Standard spectrum and astronomical cycle approaches are more suited to daily or weekly timeframes.
How much historical data is needed? At minimum, 3–5 years of daily data for daily forecasting. More is generally better for cycle identification, though Timing Solution applies “lookback” parameters to weight recent history more heavily than distant history. For some astronomical cycle testing, decades of data can be useful.
Is this astrology? Is there scientific evidence for astronomical cycles? The ULE/Astronomy module is a statistical research tool. Whether planetary cycles influence markets is debated. Timing Solution’s approach is empirical: test whether correlations exist in specific historical datasets and verify them with WFA. Some instruments show statistically significant astronomical correlations; others do not. The software makes no metaphysical claims.
Can I use Timing Solution with MetaTrader or TradingView? Timing Solution is a standalone Windows application. It does not integrate directly with MT4/MT5 or TradingView. Most users run it separately and use its projection line as a reference overlay when making decisions in their trading platform.
What is the refund policy / trial availability? Timing Solution offers a free demo version with limited functionality. For current pricing and trial/refund terms, check the official website at timingsolution.com — policies have changed over the years.
Summary
Timing Solution is the most mathematically rigorous cycle analysis platform available for retail traders and independent researchers. Its combination of spectrum analysis, Q-Spectrum, neural networks, astronomical cycles, wavelet analysis, and — most importantly — Walk Forward Analysis for honest out-of-sample validation sets it apart from simpler “cycle finder” tools that show impressive historical fits without proving forward predictive value.
It is not a trading system, not a black box, and not a get-rich-quick tool. It is a serious research platform for analysts who believe that cycles exist in financial markets and want to test that belief with academic-grade statistical rigor.
For licensing assistance or questions about Timing Solution access, contact our team via Telegram: t.me/DoCrackMe
Related articles: Timing Solution Spectrum Analysis Tutorial — Finding Market Cycles | Walk Forward Analysis Explained — The Gold Standard for Model Validation | Timing Solution vs Manual Cycle Analysis — Which Approach Works Better?
