Library Calendar & Seasonality Timeseries-Driven Trading
Featured TDT Engine Calendar & Seasonality PRO Available Now

Timeseries-Driven
Trading [AlgoFuego]

Developed by Amit — Lead Developer & Market Strategist at AlgoFuego

A precision-engineered, date-driven trading engine built for systematic seasonal execution. Build rule-based strategies where entries and exits are triggered strictly by calendar-based timestamps or bar-count logic.

"A time-series framework that treats time itself as a signal — ideal for seasonal cycles, event-driven patterns, and recurring annual market behaviors."

— TDT Engine · AlgoFuego
4.8 97 ratings 1,420 active users
TradingView
All Timeframes
Updated: Jan 2025
English
Monthly
Annual −37%
$99 $59 / month Save 40%
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TDT EngineDate-Driven Execution
Seasonal StrategiesCalendar-Based Signals
Entry & Exit SchedulingDate or Bar-Count Logic
Built-In BacktestingLong & Short Modes
Trade EngineEntry · SL · TP
Commission SimRealistic Returns
Year FiltersAll · Odd · Even Years
7 DaysMoney-Back Guarantee
Overview
Features
How to Use
Specifications
FAQ

The TDT Engine — How It Works

Trades are triggered strictly by calendar-based timestamps or bar-count intervals — not price patterns. Combine time scheduling with risk controls for a fully systematic engine.

Date-Based Entry (Day + Month + Year)
Date or Bar-Count Exit
Year Filter
All · Odd · Even Years
Trade Side
Long or Short
Risk Controls
SL % + TP %
Commission
Entry % + Exit %
Systematic Time-Series Strategy with Performance Analytics
Default Configuration
Trade SideLong
Entry ModeSpecific Date
Exit ModeDate or Bar Count
Commission SimulationOptional (Entry % + Exit %)

What is Timeseries-Driven Trading?

TDT is a precision-engineered, date-centric trading engine designed to explore patterns and strategies strictly tied to time, calendar behavior, and recurring market cycles. Rather than relying on price dynamics, TDT uses time-anchored entry and exit rules — ideal for seasonal studies, event-driven systems, and systematic historical analyses.

What does it provide?

  • Calendar-based entry and exit triggers with year-filter control
  • Bar-count exit logic for fixed holding periods
  • Long & Short simulation with stop-loss and take-profit management
  • Commission-aware backtesting for realistic performance metrics
  • On-chart performance table with win rate, trade count, and compound returns
  • Real-time alerts for entries, exits, SL, and TP hits

Who is this for?

TDT is built for traders interested in systematic seasonality and calendar effects, analysts testing hypotheses tied to specific dates or cycles, and quantitative researchers modeling strategies that combine timing with disciplined risk controls. Simple enough to apply immediately, yet robust enough for advanced event-driven research.

Signal Source
Calendar Dates
Exit Logic
Date or Bar Count
Year Cycle
All · Odd · Even
Trade Engine
Entry · SL · TP

Full Strategy Analytics Included

Subscribers gain access to the built-in performance statistics panel — displaying win rates, total trades, max/min/average returns, compound growth (with and without commission), and bars remaining — directly inside the indicator on TradingView.

Monthly Plan
All indicators · Cancel anytime
$59/mo
Annual Plan BEST VALUE
Save 37% vs monthly
$449/yr
Get Access Now
Entry Modes
2
Specific Date · Current Date
Exit Modes
2
Specific Date · Bar Count
Alert Types
4
Entry · Exit · SL · TP
Pine Script
v6
Latest version

The TDT engine does not react to price — it reacts to when. By anchoring entries and exits to calendar timestamps and year-cycle filters, it isolates the pure impact of timing on market returns — removing price-pattern noise entirely from the hypothesis.

— Timeseries-Driven Trading · AlgoFuego Design Principles
Time-Series Driven Trading Logic

Executes trades based on predefined dates, time windows, or bar counts for precise, rule-based execution. Time itself becomes the signal — no price patterns required.

Custom Entry & Exit Scheduling

Fully configurable entry dates (day/month/year) with year-filter options (All, Odd, or Even years). Exit by specific calendar date or by bar-count duration — complete flexibility in defining every trade's lifecycle.

Recurring Seasonal Pattern Testing

Test strategies that trigger on the same date every year, every other year, or on odd/even cycles — perfect for studying seasonal behaviors, annual cycles, and recurring macro patterns that repeat consistently.

Advanced Backtesting Engine

Simulate Long or Short strategies across any historical period with configurable entry/exit triggers, optional stop-loss and take-profit, and detailed performance metrics including win rate and compound returns.

Built-In Risk Management

Set percentage-based stop-loss and take-profit levels that render visually on the chart as labeled levels — complete with customizable colors and label sizes from Tiny to Huge for clear trade structure visibility.

Commission-Aware Backtesting

Model real trading costs with separate entry and exit commission percentages. All profit/loss calculations and the compound return metric adjust automatically for realistic, non-inflated backtesting results.

Performance Statistics Table

A full on-chart summary displaying Signal Type, Total Trades, Win/Loss count, Max/Min/Avg Returns, Win Rate, Compound Return (with/without commission), and Bars Remaining until trade close — auto-updating on every new signal.

Trade Visualization & Candle Coloring

Entry, exit, stop-loss, and take-profit levels display directly on the chart for every trade. Candles color automatically based on trade state — Long (Bullish), Short (Bearish), or Neutral — for instant historical visual clarity.

Smart Alerts System

Enable or disable individual alerts for Entry, Exit, Stop-Loss hit, and Take-Profit hit events independently. Receive push notifications or email alerts without monitoring the chart continuously across all TradingView channels.

1
Add the Indicator & Select Trade Side

Apply Timeseries-Driven Trading [AlgoFuego] to any TradingView chart from the Invite-Only Scripts section after subscribing. Begin by selecting Long or Short depending on the market direction you want to simulate. The indicator works on every asset and timeframe without additional configuration.

2
Set Entry Rules

Choose between Specific Date entry (day, month, and optional year filter — All, Odd, or Even years) or Current Date entry. This determines exactly when the strategy opens a position in historical and live data. The year filter enables multi-year seasonal studies from a single configuration.

3
Set Exit Rules

Choose either a Specific Date exit — closing the trade on a defined calendar date — or a Bar Count exit that closes the position after a set number of bars. Date exits are ideal for fixed seasonal windows; bar count exits suit time-limited duration strategies.

4
Configure Risk Management

Enable Stop-Loss and Take-Profit with percentage-based inputs from entry price. These levels display visually on the chart and are factored into all backtesting performance calculations — including compound return figures and the win rate metric.

5
Enable Trade Visualization

Toggle on Entry/Exit level markers and colored bars. Entry, exit, stop-loss, and take-profit levels appear directly on the chart. Candle colors automatically reflect active Long, Short, or Neutral trade states for instant visual analysis across the full backtesting history.

6
Set Up Alerts

Activate real-time alerts for Entry, Exit, Stop-Loss, and Take-Profit events individually through TradingView's alert system. Receive notifications on mobile or email so you never miss a signal, even when away from your chart. Each alert type is independently toggleable.

7
Run the Indicator

Once activated, trade markers, colored candles, and the statistics table appear automatically across historical data. The engine begins tracking entries, exits, and all associated performance metrics in real time — no manual interaction required.

8
Review the Statistics Table & Optimize

Analyze the on-chart performance panel — total trades, win rate, max/min/average returns, compound return, and bars left. Iterate on entry dates, year filters, and exit modes to find your optimal seasonal configuration before committing capital to live signals.

Platform
TradingView
Language
Pine Script v6
Assets
Forex, Crypto, Stocks, Commodities
Timeframes
All Timeframes
Entry Modes
Specific Date · Current Date
Exit Modes
Specific Date · Bar Count
Year Filters
All · Odd · Even Years
Backtesting Modes
Long & Short
Alert Types
Entry · Exit · SL · TP
Commission Simulation
Entry % + Exit %
Performance Table
✓ On-Chart
Latest Version
Jan 2025
Settings Modules

What You Can Configure

Entry Date & Time

Define the exact day, month, year, or time window when a trade should be opened. Apply year filters (All, Odd, Even) to target recurring seasonal or cyclical patterns across multiple years of history.

Exit Conditions

Choose between date-based exits (specific day and month, optionally year-filtered) or bar-count exits where the trade closes after a defined number of bars — supporting both event-based and duration-based holding periods.

Trade & Risk Settings

Stop-loss and take-profit toggle with percentage inputs, entry and exit commission percentages, label size adjustment (Tiny to Huge), and full color customization for all on-chart trade levels and markers.

Table & Display Settings

Toggle the performance table on/off, choose table position (Top Right, Bottom Center, etc.), set text size and frame/border colors, enable backtesting date range limits, and activate dynamic candle coloring by trade state.

Important Disclosure

Timeseries-Driven Trading is a time-series analysis and strategy testing tool — not a guaranteed profit system. While this indicator highlights historical timing tendencies and seasonal patterns, markets are influenced by countless variables beyond calendar effects. Past performance, seasonal behavior, or backtested results do not guarantee future outcomes. Always evaluate additional factors, apply proper risk management, and make independent trading decisions.

What makes Timeseries-Driven Trading different from other indicators?
Unlike most indicators that generate signals from price patterns, oscillators, or moving averages, TDT uses time itself as the primary signal source. Trades are triggered strictly by calendar dates, year filters, or bar-count intervals — making it uniquely suited for studying seasonal market cycles, recurring annual behaviors, and event-driven patterns that repeat over time rather than in price.
What markets and timeframes does it work on?
Timeseries-Driven Trading works on every asset available on TradingView — all Forex pairs, cryptocurrencies, US and international equities, commodities (Gold, Oil, Silver), and major indices. There are no timeframe restrictions. However, it is particularly effective on Daily, Weekly, and Monthly charts where seasonal and annual patterns tend to be more pronounced.
How do the year filters (All, Odd, Even) work?
Year filters allow you to selectively trigger entries on specific years — all years, odd-numbered years only, or even-numbered years only. For example, using an Odd year filter with a January 15th entry date would trigger signals only in 2021, 2023, 2025, and so on. This is ideal for studying biennial patterns, election-cycle effects, or other market behaviors that repeat every two years.
Can I test both long and short time-based strategies?
Yes. The backtesting engine supports both Long and Short simulations independently. You can run a Long backtest to study "buy this date, hold for X bars" scenarios, and separately run a Short backtest to evaluate the opposite. Each simulation generates its own performance metrics in the on-chart statistics table.
Is this a subscription or a one-time purchase?
Subscription-based: $59/month or $449/year (save 37%). Both plans include access to the full AlgoFuego indicator library — not just Timeseries-Driven Trading. All updates during your active subscription are included at no extra cost, along with full priority support.
What is the money-back guarantee?
We offer a 7-day money-back guarantee from the date of purchase. If you are not satisfied with the indicator for any reason, contact our support team within 7 days and we will issue a full refund — no questions asked, no conditions.
What is the difference between Date exit and Bar Count exit?
A Date exit closes the trade when a specific calendar date is reached — useful for strategies with a defined seasonal window (e.g., "hold from January 15th to March 30th"). A Bar Count exit closes the trade after a fixed number of bars from entry — useful for "hold for 20 trading days" type strategies where you want a consistent holding period regardless of the calendar date.
How does commission simulation affect results?
When commission is enabled, you input separate entry and exit fee percentages (e.g., 0.1% per side). All profit/loss calculations and the compound return metric in the performance table adjust automatically to reflect these costs — giving you a realistic picture of what the strategy would actually produce after trading fees. The table displays both with-commission and without-commission compound returns for easy comparison.
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Important Notice
Risk Disclosure & Responsibility
Trading financial markets involves substantial risk and may not be suitable for all investors. AI-generated signals do not guarantee results. Past performance is not indicative of future results. You are fully responsible for your trading decisions. Only trade with capital you can afford to lose.