JOAT Institutional Convergence [JOAT] at a glance

Kind of ruleChart turning points (price action and market structure)
Buys or sellsIt can buy, and it can bet on falling prices.
Built onADX / DMI, ATR, Donchian Channels
Where it was publishedTradingView, by its author, as a Pine Script strategy
Tested on63 cells: 13 coins on 5 chart speeds (15m, 30m, 1h, 4h, 1D), October 2021 to June 2026
Fee in the test0.12 percent per side, buys only
Middle result after fees, every cell−16.3%
Cells above zero10 of 63
Cells that cleared the quality check1 of 63
Middle drawdown, every cell20.6%
Page updated2026-11-08

JOAT Institutional Convergence [JOAT] backtest results, every cell

Every cell is in the picture, not only the strongest. To the right of the black line is above zero. The orange line, when you see one, is the middle.

How the cells bunchEach bar is a group of cells with a similar result. The number on a bar is how many cells landed there. Bars to the right of the black line finished above zero.11681113194−890+19
Each bar is a group of cells with a similar result. The number on a bar is how many cells landed there. Bars to the right of the black line finished above zero.
The middle result at each chart speedEach bar is the middle result for that chart speed. The number in parentheses is how many cells. The black line is zero.15-minute (12)−43daily (12)−0.08hourly (13)−1930-minute (13)−354-hour (13)−5.3−460+10
Each bar is the middle result for that chart speed. The number in parentheses is how many cells. The black line is zero.

How JOAT Institutional Convergence [JOAT] works

Rules in this group usually work like this. It tries to act the way a person reading a chart would: at spots where price turned, at gaps, and at places where many people are likely to have set a stop. In code those ideas become counts of bars. The result depends on how those spots are defined. The next paragraph is this particular rule, which can be narrower than the group.

It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on ATR, DMI; those names are explained on their own pages, further down. The exact line is in the list below, in the author's names, and you can skip that list. When it enters, it also sets a stop or a target, so a trade can close without a new signal.

Each trade uses a fixed size of 1. It holds one trade at a time.

The exact condition, from the code

Same rule, translated from the code, in the author's names. You can skip this list if the paragraph above was enough.

  • Enters long when long entry signal and struct trend is at or above 0 and ADX is at or above Min ADX for Entry (8) and ADX is at or below Max ADX for Entry (60) and session ok and (not (Require Near FVG Zone (off)) or fair value gap bull near) and no position is open.
  • Enters short when short entry signal and struct trend is at or below 0 and ADX is at or above Min ADX for Entry (8) and ADX is at or below Max ADX for Entry (60) and session ok and (not (Require Near FVG Zone (off)) or fair value gap bear near) and no position is open.
  • On entry, places a stop at (the close − long stop dist), a target at (the close + (long stop dist × Reward:Risk Ratio (2))), a trailing stop.
  • On entry, places a stop at (the close + short stop dist), a target at (the close − (short stop dist × Reward:Risk Ratio (2))), a trailing stop.
  • Closes the position when a long position is open and the close is below the previous low and the previous low differs from break of structure bear track.
  • Closes the position when a short position is open and the close is above the previous high and the previous high differs from break of structure bull track.
Buys or sellsIt can buy, and it can bet on falling prices.
Tools it calculatesADX / DMI, ATR, Donchian Channels
A second chart speedNo. It uses one chart speed only.
Only at certain hoursNo.
Adding to a tradeIt holds one trade at a time.
How much it tradesEach trade uses a fixed size of 1.
Cost the author assumedThe author assumed a trading cost of 0.05 percent per side.

Default settings

The test used the defaults in the middle column. Nothing was turned to help a coin.

SettingDefaultGroup
Swing Length20
Hann Base Length20
Ribbon Spacing3
ADX Length14
Min ADX for Entry8
Max ADX for Entry60
Enable Session Filteroff
Trade Asia Sessionon
Trade London Sessionon
Trade NY Sessionon
Require Near FVG Zoneoff
FVG Proximity (×ATR)1.5
Risk Per Trade (%)1
Reward:Risk Ratio2
SL Buffer (×ATR)1.2
Use Trailing Stopon
Trail Offset (×ATR)1.5
Color Candles by Regimeon

How the backtest was run

Every strategy was tried the same way, on the settings the author published.

The years are October 2021 to June 2026. The prices are from Bybit, for 13 widely traded coins, mostly on hourly, 4-hour and daily charts, with some faster charts. That was 47,242 tries. The window stored in the files is 2021-09..2026-06.

599 rules produced a finished try. A rule that finished above zero on at least 12 cells, before any fee, was tried again with a fee of 0.12 percent per side. Only buys are counted in that second try. 273 rules got it.

The method, the aggregate results and a downloadable table are on the study page. What the desk does with the results beyond these pages is its own.

This is the second pass. A fee of 0.12 percent per side is taken on the buy and again on the sell. Only buys are counted. If the rule also bets on falling prices, those trades are not in these numbers.

After fees, 10 of 63 cells finished above zero (15.9%). The median of every cell was −16.3%.

1 of the cells cleared a quality check: at least 50 trades, gains that are not one lucky trade, and a drawdown that is real without taking the whole account.

Finished above zero by chart speed: 15-minute chart, 15m 0 of 12; daily chart, 1D 4 of 12; hourly chart, 1h 2 of 13; 30-minute chart, 30m 1 of 13; 4-hour chart, 4h 3 of 13.

Cells tried after the fee63
Finished above zero10 (15.9%)
Middle result, the median of every cell−16.3%
Middle drawdown, every cell20.6%
Cells that cleared the quality check1
Middle result, over the cells that cleared the quality check+9.6%
Extra, Calmar on the checked rows. Result divided by the deepest fall0.38
Extra, Sharpe on the checked rows. Result divided by how bumpy the path was0.03
Middle drawdown, the checked rows25.4%
Deepest fall, the checked rows25.4%
Middle number of trades, the checked rows116

Label: backtest · old prices, buys only, a fee of 0.12 percent per side, every cell · Oct 2021 – Jun 2026. Hypothetical results; see the risk disclosure.

How to read the result

How to read the number

The median of every cell is the result of the rule. The author's settings were not changed to help any coin. The weakest and the strongest cells are not a result on their own.

What the number leaves out

The table also shows +9.6%, taken only over the cells that cleared the quality check. Cells that finished down are left out of that figure, which is why it stands away from the median of every cell. It describes those rows only.

1 of 63 cells cleared a quality check: at least 50 trades, a profit factor that is not one lucky trade, and a drawdown that is real without taking the whole account. Profit factor means the gains divided by the losses. Clearing the check describes this sample. It says nothing about the next set of years.

The count above is also split by chart speed. A speed that finished higher, in these years, is one slice of the same rule. It is not a separate strategy.

What this does not show

The useful question is how the turning points are counted in the code. A person can be vague. The code has to count bars.

Nothing on this page was fit to the cell that finished highest. One coin, one chart speed, or one strong stretch is a single row. It is not the rule. Other years, another exchange, or another fee would be a different measurement.

Questions about JOAT Institutional Convergence [JOAT]

What is JOAT Institutional Convergence [JOAT]?

JOAT Institutional Convergence [JOAT] is a price action and market structure trading strategy published on TradingView as a Pine Script. In plain terms it is a rule of the kind this site calls chart turning points. It can buy, and it can bet on falling prices. It is built on ADX / DMI, ATR, Donchian Channels. This page reads the rules from the code and reports what they did on old crypto prices.

How does JOAT Institutional Convergence [JOAT] work?

It can buy, and it can bet on falling prices. It acts only when several checks agree at once. It leans on ATR, DMI; those names are explained on their own pages, further down. The exact line is in the list below, in the author's names, and you can skip that list. When it enters, it also sets a stop or a target, so a trade can close without a new signal.

Is JOAT Institutional Convergence [JOAT] profitable in a backtest?

In this backtest, more cells lost than gained. After a fee of 0.12 percent per side, 10 of 63 cells finished above zero and the median of every cell was −16.3%. A backtest is a replay on old prices, so it describes these coins and these years, not a future result.

What was the drawdown of JOAT Institutional Convergence [JOAT]?

The median drawdown across every cell was 20.6%, and the deepest fall in any cell was 83.4%. Drawdown is the deepest fall from a high point along the way, as a percent of the account at that high.

Which timeframe suited JOAT Institutional Convergence [JOAT]?

Counted by cells above zero: 15-minute (15m) 0 of 12; 30-minute (30m) 1 of 13; hourly (1h) 2 of 13; 4-hour (4h) 3 of 13; daily (1D) 4 of 12. The daily chart had the largest share above zero in these years. A chart speed that did better here is one slice of the same rule, not a separate strategy.

Where can I find the JOAT Institutional Convergence [JOAT] script?

It is published on TradingView by its author. Search TradingView for the title to find the original script. This page is an independent reading and is not affiliated with the author.

What does backtest mean on this page?

Backtest means the rule was replayed on old prices from Bybit. No real money moved. Every number on this page carries that label, and old prices do not promise anything about new ones.

Words used on this page

Backtest
The rule was tried on old prices. No real money moved.
Cell
One coin on one chart speed. Bitcoin every 4 hours is one cell. Bitcoin once a day is another.
Chart speed
How often a new price bar is drawn. 15m means every 15 minutes, 1h means hourly, 4h means every 4 hours, 1D means once a day.
Fee, per side
A cost taken each time the rule trades. Per side means once on the way in and once on the way out.
Median
Line the cells up from the biggest loss to the biggest gain. The median is the middle one. Half the cells did better and half did worse.
Drawdown
The deepest fall from a high point along the way, as a percent of the account at that high.
Above zero
The account finished with more than it started.

The indicators JOAT Institutional Convergence [JOAT] uses

Each has its own page: what it measures, how it is read, where it misleads.

"JOAT Institutional Convergence [JOAT]" was published on TradingView by its author, under the author's own license. This page is an independent reading of those rules and of what they did on these old prices. It is not written with the author, and it is not a recommendation. Not every detail survives the translation onto this page, so read the original before you rely on it.