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Softly blurred contrasting colour fields with fine grain.September 2026Monthly report

September split in two: entry activity grew for three weeks, then fell, while the market mix kept rotating toward Gold

September split in two: on a standardised week, entry activity ran 4.0% above August through 21 September and 18.4% below it afterwards. All tracked instructions rose 5.7%, led by management, and FX and metals took 71.4% of entries.

Data window: 1–30 September 2026, compared with 1–31 August 2026

On this page

01 · A month in two parts

September looked busier than August. It was really two different months.

All tracked instructions moved +5.7% from August to September. That headline is the least informative number in this report. It combines a calendar effect, a change in the kind of instruction being sent, three strong weeks and nine weak days. Each of those moved in its own direction, and each needs its own comparison.

Instruction activity counts the instructions the PineConnector bridge received from TradingView alerts. Pulse compares it between windows as a percentage change and never publishes the levels behind those percentages. An instruction is a request that arrived. It is not an order a broker executed, a position someone held or a result anyone achieved, and its volume says nothing about how many people sent it.

First, take the calendar out

The two months were built differently. August 2026 began on a Saturday and contained five full weekends: 21 weekdays and 10 weekend days. September began on a Tuesday: 22 weekdays and 8 weekend days, and one day fewer overall. Automated instruction flow is strongly weekly. In September, Saturday's entry activity indexed at 7.4 and Sunday's at 15.3 against an average weekday of 100. Swapping two weekend days for an extra weekday adds volume all by itself.

Pulse has published one correction for this since July: the standardised week, which adds the average Monday, the average Tuesday and so on through Sunday in each month, then compares the two resulting weeks. On that basis total instructions rose 2.9% and entry instructions changed by −3.1%, against 0.0% on calendar months.

Figure 1

Calendar months versus a standardised week

Activity change, September 2026 against August 2026.

Figure data
Activity change by comparison basis, September 2026 against August 2026
InstructionsCalendar monthsStandardised week
All tracked instructions+5.7%+2.9%
Entry instructions0.0%−3.1%

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Complete September and August source-calendar months. The standardised comparison sums the average Monday, Tuesday, Wednesday, Thursday, Friday, Saturday and Sunday activity in each month. Raw changes retain the actual calendar mix. Download data (CSV): Figure 1

This month adds a second, independent correction: a calendar model. It asks a counterfactual question. If every September day had behaved exactly like the average August day of the same weekday, what would the month-on-month change have been? That is the change the calendar alone produces. For total instructions the answer is +2.7%; the actual +5.7% leaves +2.9% beyond the calendar. For entries the calendar alone would have produced +3.3%; the actual 0.0% leaves −3.2% beyond it.

Figure 2

The change the calendar alone produces

Activity change: the actual change, the change the weekday mix alone would produce (hatched), and the remainder beyond the calendar.

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 2, The change the calendar alone produces

Data table: Figure 2
Figure 2. The change the calendar alone produces
comparisoninstructionsactual % changecalendar only % changebeyond calendar % change
August 2026 to September 2026All tracked instructions5.72.72.9
August 2026 to September 2026Entry instructions03.3−3.2
July 2026 to August 2026All tracked instructions−4.8−6.31.6
July 2026 to August 2026Entry instructions8.1−6.615.8

The two corrections are built differently and agree closely, which is the reassuring part. The model also makes August's distortion visible as a number. It puts the calendar's own effect on August at −6.3% for all instructions and −6.6% for entries; beyond the calendar, August's entries grew 15.8%. August looked quieter than it was. September looked busier than it was.

Then look inside the month

A monthly comparison treats September as one block of time. It was not one. Splitting the month at 21 September and comparing each window with all of August on a standardised week shows two very different periods. In the first three weeks, entry activity ran 4.0% above August and all tracked instructions 8.2% above. From 22 to 30 September, entry activity ran 18.4% below August and the total 8.6% below. September's weak entry figure for the month comes from its last nine days.

Figure 3

September in two windows, against all of August

Standardised-week change against all of August, for each window of September.

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 3, September in two windows, against all of August

Data table: Figure 3
Figure 3. September in two windows, against all of August
windowinstructionsstandard week change %
1–21 SeptemberAll tracked instructions8.2
1–21 SeptemberEntry instructions4
1–21 SeptemberManagement and other instructions16
22–30 SeptemberAll tracked instructions−8.6
22–30 SeptemberEntry instructions−18.4
22–30 SeptemberManagement and other instructions9.7

The split date was chosen after looking at the month, so this is a description, not a test. What makes it more than a curiosity is what happened in each window. The two halves were not the same story at different volumes. They were two different stories.

In the first three weeks, the mix moved and the level held. Measured on a standardised week against August, metals entry activity was +15.7% and FX +4.3%, while crypto was −7.3% and equity indices −7.5%. That is a rotation: some classes gaining while others lose, with the total modestly up.

In the last nine days, the level moved and the mix held. Every asset class fell together: FX −16.5%, metals −13.3%, equity indices −23.4% and crypto −27.1%. Because they fell together, the composition barely changed. FX and metals took 35.5% and 35.9% of entries in the first window, and 37.1% and 34.3% in the second.

Figure 4

Entry activity by asset class in each window

Entry activity by asset class, standardised-week change against all of August. Solid: 1–21 September. Hatched: 22–30 September.

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 4, Entry activity by asset class in each window

Data table: Figure 4
Figure 4. Entry activity by asset class in each window
asset classfirst window standard week change %second window standard week change %first window share %second window share %
Foreign exchange4.3−16.535.537.1
Metals15.7−13.335.934.3
Equity indices−7.5−23.41718.1
Crypto−7.3−27.110.49.5

A decline confined to one market would point to something about that market. A decline spread evenly across every class points to something that affected the instruction stream as a whole. What that was, the aggregates cannot say. They describe instructions received; they cannot show whether strategies paused, alerts did not fire, connections dropped or markets went quiet. The cause of the lower late-month activity is not established.

Three explanations the data can test

A public holiday. US Labor Day fell on Monday 7 September. A quiet holiday lowers September's average Monday and so the standard week. Leaving 7 September out moves the standardised entry change from −3.1% to −2.7%, and the total from +2.9% to +3.1%. The holiday explains a small part of the weakness, and it fell two weeks before the decline began.

A normal month-end pattern. If the end of every month were quieter, September's last week would be unremarkable. It is not. The last seven weekdays of July were +14.6% against that month's earlier weekdays, and August's were +1.4%. September's were −22.4%. Two months is a thin baseline, but neither shows anything like a month-end slump.

Strategies switched off. If strategies had simply stopped running, closes and modifications would have fallen with entries. They did not. In the last nine days, management and other instructions were still 9.7% above August on a standardised week while entries were 18.4% below it. New entries fell away; the closing and adjusting of what was already open continued.

02 · Entries and management

Management instructions came back, and changed shape on the way

Pulse divides tracked instructions into entries, which carry a recognised entry command such as buy or sell, and management and other instructions: closes, partial closes, stop and target modifications and pending-order cancellations. The entry share is entries as a percentage of all tracked instructions. Because it is a share, it moves when either group changes.

In August the two groups pulled apart. Entries rose 8.1% and management fell 22.0%, lifting the entry share from 57.0% to 64.8%. September partly reversed it. Entries were unchanged at 0.0% on calendar months, management and other instructions rose 16.0%, and the entry share fell to 61.3%. Over the quarter the share went 57.0%, 64.8%, 61.3%: a swing, not a trend. The share was 62.5% in the first window of September and 58.3% in the second, so management made up a larger part of the smaller late-month stream.

Figure 5

Entry versus management and other instructions

Composition of all tracked instructions in each month.

August 2026August 2026, Entry instructions: 64.8%64.8%August 2026, Management and other: 35.2%35.2%September 2026September 2026, Entry instructions: 61.3%61.3%September 2026, Management and other: 38.7%38.7%Entry instructionsManagement and other

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 5, Entry versus management and other instructions

Data table: Figure 5
Figure 5. Entry versus management and other instructions
measureperiodvalueunit
Entry share of all tracked instructionsAugust 202664.8pct
Entry share of all tracked instructionsSeptember 202661.3pct
Entry instruction activity changeAugust 2026 to September 20260pct_change
Management and other instruction activity changeAugust 2026 to September 202616pct_change
All tracked instruction activity changeAugust 2026 to September 20265.7pct_change

The rebound was not a return to July's mix of commands. Changes in activity by command family, September against August, with August against July for reference:

Management command familySep vs AugAug vs Jul
Pending-order cancellations+93.1%+18.3%
Close all+24.2%−19.7%
Side-specific closes+24.1%+4.6%
Percentage-based partial closes+0.4%−28.7%
Volume-based partial closes−30.1%−60.1%
Stop-loss / take-profit modifications−31.0%+3.9%

The direction is consistent. Instructions that end or withdraw something rose: pending-order cancellations by 93.1%, close-all commands by 24.2% and side-specific closes by 24.1%. Instructions that adjust something already in place fell: stop and target modifications by 31.0% and volume-based partial closes by 30.1%, after a fall of 60.1% in August. Pending entry commands rose 23.0%, although at 1.7% of entries they remain a small family. More pending orders sent and more cancelled is internally consistent: strategies that place conditional orders also withdraw the ones that do not trigger.

The strongest alternative reading is design rather than behaviour. If some strategies moved their exits into the entry instruction or into receiving-EA settings during August, and moved them back in September, management instructions would fall and recover with no change in how anything was managed at a broker. These are counts of command text. A rise in close commands does not show that more positions were closed: a strategy can send a close instruction when nothing is open, and exits can happen through broker-side stops that never pass through the bridge. What the record does show is that August's low level of management instructions was not a new normal. A reader who took August's entry share as the platform's settled mix would have been wrong a month later.

03 · Market mix

The rotation toward FX and metals continued, and the class mix concentrated

Three numbers describe an asset class, and each answers a different question. Its share is its slice of all entry instructions in the month. Its activity change is how much its own entry activity grew or shrank. Its share change is measured in percentage points: a class moving from 30% to 33% of entries gains 3 points, whatever happened to its own activity.

With total entries unchanged, a class could only gain share by taking it from another, and in September the exchange ran one way. Metals rose from 32.1% to 35.5% of entries, with its activity up 10.6%. FX edged from 35.2% to 35.9%, its activity up 2.2%. Equity indices fell to 17.3% (activity −9.1%) and crypto to 10.2% (activity −17.0%). FX and metals together took 71.4%, up from 67.3% in August and 59.7% in July.

Figure 6

The asset-class mix

Share of entry instructions by asset class, August and September 2026. One scale across panels.

Foreign exchangeForeign exchange Aug: 35.2%35.2AugForeign exchange Sep: 35.9%35.9SepMetalsMetals Aug: 32.1%32.1AugMetals Sep: 35.5%35.5SepEquity indicesEquity indices Aug: 19.0%19.0AugEquity indices Sep: 17.3%17.3SepCryptoCrypto Aug: 12.3%12.3AugCrypto Sep: 10.2%10.2SepOtherOther Aug: 1.4%1.4AugOther Sep: 1.1%1.1Sep

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 6, The asset-class mix

Data table: Figure 6
Figure 6. The asset-class mix
asset classshare % august 2026share % september 2026activity change %
Foreign exchange35.235.92.2
Metals32.135.510.6
Equity indices1917.3−9.1
Crypto12.310.2−17
Other1.41.1−23.3

August's report also showed each class's contribution to the net change in entry activity. This report does not. When net entry activity barely moves, that calculation divides by a number close to zero and produces values in the thousands of percent: arithmetically correct and meaningless to a reader. Share and activity change answer the question instead.

Two kinds of concentration

"Concentration" can mean two different things, and September separates them cleanly. Across asset classes it can be summarised with the Herfindahl–Hirschman index, which economists use to describe market structure: square each class's share and add the squares. Its reciprocal is easier to read: the "effective number" of equally sized classes that would produce the same index. Five equal classes would score 5.0; a single class 1.0. On consistent rules the effective number of asset classes fell from 3.91 in July to 3.60 in August and 3.38 in September. Entry activity is being spread across fewer classes each month.

Across leading markets the story is different. The four leading markets took 59.3% of entries in July, 59.7% in August and 60.1% in September. Gold's gain was mostly offset inside that group: Bitcoin fell from 12.1% to 10.0% of entries and Nasdaq 100 from 7.8% to 7.0%.

Figure 7

Two kinds of concentration

Left: effective number of asset classes (1 ÷ Herfindahl–Hirschman index of class shares). Right: top-four markets' share of entries. Separate panels and scales; no line joins the months.

Effective number of asset classes3.03.64.2Effective number of asset classes, Jul: 3.913.91JulEffective number of asset classes, Aug: 3.603.60AugEffective number of asset classes, Sep: 3.383.38SepTop-four market share of entries556065Top-four market share of entries, Jul: 59.3%59.3%JulTop-four market share of entries, Aug: 59.7%59.7%AugTop-four market share of entries, Sep: 60.1%60.1%Sep

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 7, Two kinds of concentration

Data table: Figure 7
Figure 7. Two kinds of concentration
montheffective number of classestop4 share %
July 20263.9159.3
August 20263.659.7
September 20263.3860.1

Read together, the two measures say something precise. Activity has been leaving crypto and equity indices for FX and metals, which concentrates the class mix. Within the leading markets it has been moving from Bitcoin and Nasdaq 100 to Gold, which reshuffles the top four without making them a larger part of the whole.

Inside the classes

Within metals there is effectively one market: Gold made up 99.1% of metals entries. Its entry activity reached 97.9% of the entire FX class's, one market almost equal to every currency pair combined. FX hides its components. The class grew 2.2%, but each of its three leading pairs declined: EUR/USD by 2.1%, GBP/USD by 1.2% and USD/JPY by 1.0%. The three pairs' combined share of FX activity fell from 53.4% to 51.5%. FX grew through the wider range of pairs beyond its leaders. Crypto's decline is essentially a Bitcoin decline: Bitcoin made up 98.6% of crypto entries. That decline was already under way in the strong first weeks of September, so it is a separate story from the late-month fall.

A rising share of entry instructions is not rising popularity or market volume. A small number of high-frequency strategies can move a market's share with no change in how many people trade it, and Pulse does not measure the latter. September's figures show that a larger part of the instruction stream referred to Gold and a smaller part to Bitcoin and equity indices. They do not show who sent those instructions, whether a broker executed them or what happened next.

04 · Gold

Gold now sets the platform's rhythm

Gold took 35.2% of September's entry instructions, up from 31.8% in August and 29.7% in July, and its entry activity rose 10.8%. At more than a third of all entries, its rhythm increasingly shapes the platform's. Every full week of September stayed above August's monthly share; the two partial weeks at either end of the month cover four and three weekdays and are not comparable with a full week.

Figure 8

Gold’s weekly share of entry activity

Gold's share of weekday entry activity by week. Hatched columns are partial weeks; the dashed line is August's monthly share.

August month 31.8%Gold 1–4 Sep: 37.8%37.81–4 SepGold 7–11 Sep: 34.6%34.67–11 SepGold 14–18 Sep: 35.8%35.814–18 SepGold 21–25 Sep: 39.9%39.921–25 SepGold 28–30 Sep: 30.9%30.928–30 Sep

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 8, Gold’s weekly share of entry activity

Data table: Figure 8
Figure 8. Gold’s weekly share of entry activity
weekgold share of entry activity %partial week
1–4 Sep37.8yes
7–11 Sep34.6no
14–18 Sep35.8no
21–25 Sep39.9no
28–30 Sep30.9yes

Gold is also a weekday market in the instruction stream. It made up 36.1% of weekday entries in September and 12.2% of weekend entries. Its daily shape is the most pronounced on the platform: the ratio of its busiest to its quietest source-clock hour was 28.6, against 1.37 for FX and 1.18 for crypto, whose instruction flow is almost flat around the clock. As Gold's share grows, the platform's busiest hours carry more of the day. The hour labels follow the source timestamps, whose time zone is still unconfirmed, so these figures describe the shape of the day, not its alignment with any market session, and they say nothing about when it is good to trade.

Explore the market

Gold, beyond the monthly snapshot

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Pulse’s Gold grouping combines normalised symbol variants. OANDA XAUUSD is a separate live spot-price reference, not a reconstruction of the instructions in this report.

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05 · Macro backdrop

A tightening month in rates and the dollar

This section is external context. Every value comes from a named public source and is dated, and none is combined with a Pulse measurement in a single statistic. Nothing here explains the instruction data.

September brought a cluster of central-bank decisions. The European Central Bank raised its three key rates by 25 basis points on 10 September. The Federal Open Market Committee raised the federal funds target range by 25 basis points to 3.75–4.00% on 16 September and published new projections. The Bank of England held Bank Rate at 3.75% on 17 September, and the Bank of Japan set its policy-rate guideline at around 1.25% on 18 September. The US macroeconomic releases published during the month all measured August: the employment report on 4 September, CPI on 11 September and PCE inflation on 30 September, the last day of the window. On 2 October, after the month had ended, August's payroll figure was revised down. That revision was not available to anyone during September.

Market prices moved with the decisions. Between 31 August and 30 September the US two-year Treasury yield rose from 4.34% to 4.88% and the ten-year from 4.75% to 5.29%. By 25 September, the latest date published at the time of writing, the Federal Reserve's broad trade-weighted dollar index had risen from 118.57 to 120.33, the euro had fallen from 1.1617 to 1.1400 dollars and the dollar from 159.74 to 157.18 yen.

External context · not a Pulse measure

US yields, the dollar and two exchange rates, 30 June to 30 September 2026

Daily public data. Each panel has its own axis; exchange rates are indexed to 30 June = 100. Dashed lines mark the ECB and FOMC decisions.

US Treasury yields (%)3.804.605.40ECBFOMC10-year5.29%2-year4.88%30 Jun30 SepBroad dollar index116.0119.0122.0ECBFOMCBroad dollar120.330 Jun30 SepExchange rates, 30 Jun = 10094.099.0104.0ECBFOMCEUR/USD99.8USD/JPY96.730 Jun30 Sep

Sources: Board of Governors of the Federal Reserve System, H.15 Selected Interest Rates and H.10 Foreign Exchange Rates, via FRED (DGS2, DGS10, DTWEXBGS, DEXUSEU, DEXJPUS). Public-domain data. Exchange-rate series end 25 September, the latest published.

It is tempting to connect the two records. Management instructions rose in a month of central-bank decisions. Gold's share kept climbing while yields rose. Entry activity weakened in the final week, when yields rose most. Each of these is a temporal overlap, not a finding. Monthly and window totals combine every instruction from every strategy, the source clock's time zone is unconfirmed, and the method that would test an announcement effect, an event study around precisely timed releases, is not available until that time zone is confirmed. The late-September decline was also spread evenly across asset classes, so whatever lay behind it was not specific to any one market.

What the backdrop does supply is a set of questions an approved method could later test without stretching the data. Do instruction rates in the hours around a scheduled policy statement differ from the same hours on comparable days? As more months accumulate on consistent rules, does the composition of management instructions differ between months with and without major policy decisions? Strategies driven by price indicators generate alerts when prices move, so does aggregate instruction activity track market movement, measured without combining internal and external figures in one statistic? None of these is a working hypothesis of this publication, and none has been tested here.

06 · Exit fields

The exit-field average moved because classes changed, not because the mix did

An entry instruction can carry a recognised stop-loss (SL) field, a take-profit (TP) field, both or neither. Pulse reports each as a share of entry instructions. This measures instruction text. It does not show whether a level was valid, whether a broker accepted it or whether anything was protected. Exits can live in receiving-EA settings, later instructions or strategy logic, so an entry without a recognised field does not mean the trade had no exit.

At platform level September moved modestly. Entries carrying any SL field changed by −0.9 pp to 66.4% and any TP field by +1.4 pp to 57.4%. The four-way partition moved more: entries with both fields +3.0 pp to 55.5%, SL only −4.1 pp to 10.8%, and entries with neither field +2.7 pp to 31.8%. The full partition is in the reference section below.

An average like this can change for two different reasons. The class mix can tilt toward classes that carry fewer fields, or the classes themselves can change. A shift-share decomposition, a standard tool in regional and labour economics, separates the two. It splits the change into a mix effect (class weights change while each class keeps its earlier rate), within-class effects (class rates change while weights stay fixed) and a small interaction term. From August to September, the neither-field share changed by +2.7 pp; the mix effect was −0.1 pp and the within-class effect +2.7 pp. From July to August the totals were −3.7 pp, +0.2 pp and −4.5 pp. In both months the considerable rotation toward FX and metals barely moved the platform's exit-field profile, because those classes' field rates sit near the average. Almost everything came from changes inside classes.

Figure 9

What moved the neither-field share

Change in the share of entry instructions carrying neither recognised field, in percentage points, split into its components.

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 9, What moved the neither-field share

Data table: Figure 9
Figure 9. What moved the neither-field share
comparisoncomponentpp
July to AugustTotal change−3.69
July to AugustMix effect0.19
July to AugustWithin foreign exchange1.04
July to AugustWithin metals−1.82
July to AugustWithin equity indices−1.22
July to AugustWithin crypto−2.3
July to AugustWithin other, and interaction0.43
August to SeptemberTotal change2.68
August to SeptemberMix effect−0.13
August to SeptemberWithin foreign exchange0.27
August to SeptemberWithin metals2.16
August to SeptemberWithin equity indices−0.45
August to SeptemberWithin crypto0.28
August to SeptemberWithin other, and interaction0.55

The within-class effect has a clear leader. In September the share of metals entries carrying neither field rose 6.7 points, which on its own contributed +2.2 pp of the platform's +2.7 pp change. Equity indices went the other way: their neither-share changed by −2.4 pp and their TP-field share by +9.8 pp. In August the picture was reversed. Metals' within-class change then reduced the neither-share by 1.8 points, while FX's raised it by 1.0. Metals' field profile has now turned around twice in two months while its share of activity rose in both. One possible reading is that the mix of instruction templates behind metals changes from month to month, some carrying exits and some not. The aggregates cannot confirm or rule that out.

Fewer recognised fields on metals entries is not evidence of less careful risk control. Strategies that manage exits through the receiving EA, or close with a later instruction, would produce exactly this pattern with no change at the broker.

07 · July to September

What continued, what reversed and what remains open

September closes the third quarter, which invites a three-month story. Pulse's separately published reports cannot supply one directly. When the August edition was finalised it recomputed July under refined eligibility rules, so the standalone July report and the August edition give slightly different July figures. A line drawn through the July report's entry share and the later months would join numbers built on different definitions. The table below avoids that: all three months use the same rules, with July as it appears in the August edition's comparison. They are three comparable observations, not a quarterly statistic. Nothing is averaged, pooled or compounded.

Table 1

July to September on one set of rules

Monthly observations under one set of eligibility rules.

MeasureJulyAugustSeptember
Entry share of all tracked instructions (%)5764.861.3
FX + metals share of entry instructions (%)59.767.371.4
Gold share of entry instructions (%)29.731.835.2
Crypto share of entry instructions (%)13.612.310.2
Equity indices share of entry instructions (%)24.11917.3
Entries with neither SL nor TP field (%)32.829.131.8
Average weekend day as % of average weekday14.913.411.3
Crypto share of weekend entry instructions (%)72.367.763.1
Direct entries as share of entry instructions (%)96.396.896.5
Busiest-to-quietest source hour ratio3.323.23.11

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Table 1, July to September on one set of rules

What continued. The move toward FX and metals, and specifically Gold, ran through all three months, and the class mix concentrated each month. Crypto and equity indices lost share each month. The weekend became a smaller part of the week: an average weekend day carried 14.9%, 13.4% and 11.3% of an average weekday's entries. Crypto's share of weekend activity narrowed with it, from 72.3% to 63.1%. The two are linked: crypto trades every day, so a smaller crypto share shrinks the weekend relative to weekdays. The weekend measure compares average days, so it is far less sensitive to the calendar than a monthly total.

What reversed. The balance between entries and management swung up in August and partly back in September. The neither-field share fell in August and rose in September, driven both times mainly by metals, in opposite directions. Entry activity on a standardised week rose strongly into August, then fell in September's last nine days.

What stayed put. Direct entries made up 96.3%, 96.8% and 96.5% of entries. Top-four market concentration stayed near 60%. The platform's daily shape kept the same busiest and quietest hours, with the ratio between them easing from 3.32 to 3.20 to 3.11.

What remains open. Three months is a short record. A pattern that holds for a quarter describes that quarter; it is not evidence of a lasting shift. Pulse published no working hypotheses for these months, so there is nothing to score. Whether the entry and management swing is cyclical, whether metals' changing field profile reflects changing instruction templates, and what lay behind the late-September fall all need more months on one set of rules.

08 · Findings

What September establishes

  1. September split in two. On a standardised week against August, entry activity was +4.0% in 1–21 September and −18.4% in 22–30 September. The first window was a rotation between asset classes; the second was a decline shared by every class, with management instructions still above August.
  2. The calendar flattered the headline. All tracked instructions rose 5.7% on calendar months. A calendar model puts the effect of September's extra weekday and fewer weekend days alone at +2.7%.
  3. Management instructions drove the rise in the total. They rose 16.0% while entries were unchanged, with closes and cancellations up and modifications down.
  4. The rotation toward Gold and FX continued and the class mix concentrated. FX and metals took 71.4% of entries; the effective number of asset classes fell to 3.38 while top-four market concentration stayed near 60%.
  5. The exit-field average moved because classes changed, not because the mix did. The neither-field share changed by +2.7 pp; the mix effect was −0.1 pp.

The lesson that connects them is about reading monthly instruction data at all. A single total combines a calendar, a composition and a timeline, and each can move in a different direction. None of September's findings is visible in its headline, and each needed its own comparison. Methods, definitions and the standardised-week calculation are described in Methods.

Reference

Go deeper into the data

Markets, rankedShares and changes for each leading market

03 · Markets

Where entry-instruction activity went

Market share answers a narrow question: what portion of tracked entry instructions went to each normalised market. It does not establish adoption, popularity, exposure or performance.

Figure 10

Share of entry activity

Leading normalised markets with complete activity comparisons, selected after internal quality safeguards.

0%10%20%30%40%Gold (XAU/USD): 35.2%Gold (XAU/USD)35.2%▲ 10.8Bitcoin (BTC/USD): 10%Bitcoin (BTC/USD)10%▼ 16.7EUR/USD: 7.9%EUR/USD7.9%▼ 2.1Nasdaq 100: 7%Nasdaq 1007%▼ 10.6GBP/USD: 6.1%GBP/USD6.1%▼ 1.2USD/JPY: 4.5%USD/JPY4.5%▼ 1.0
Leading market activity, September 2026 against August 2026
MarketActivity shareComparison shareActivity change
Gold (XAU/USD)35.2%31.8%+10.8%
Bitcoin (BTC/USD)10%12.1%−16.7%
EUR/USD7.9%8%−2.1%
Nasdaq 1007%7.8%−10.6%
GBP/USD6.1%6.2%−1.2%
USD/JPY4.5%4.5%−1.0%

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 10, Share of entry activity by market

The direction breakdown is not published for this period.

When instructions arrivedHourly patterns, weekdays and weekends

05 · The clock

How instruction activity varied across the day

Automation does not mean around the clock. One hour of the day carries 5.38% of instructions and another carries 1.73% — a 3.11× swing between the busiest and quietest hour. The comparison window's ratio was 3.2×. But that network-wide shape is a weighted average of four very different rhythms, and it should be read alongside the separate class patterns.

Hour labels provisionalCoverage follows complete source-calendar months. The source timezone has not been independently confirmed, so hour labels remain source-clock labels and must not be aligned precisely with market announcements.
Figure 11

Flow by hour of day

Share of the month’s entry instructions in each source-clock hour. These labels are not aligned to market-event times while the storage timezone remains unconfirmed.

Source-clock hours · timezone confirmation pending

00:00 — 4.46% of monthly entry activity0001:00 — 4.76% of monthly entry activity02:00 — 4.24% of monthly entry activity03:00 — 3.91% of monthly entry activity0304:00 — 3.74% of monthly entry activity05:00 — 4.4% of monthly entry activity06:00 — 4.35% of monthly entry activity0607:00 — 4.49% of monthly entry activity08:00 — 4.5% of monthly entry activity09:00 — 4.26% of monthly entry activity0910:00 — 4.16% of monthly entry activity11:00 — 4.25% of monthly entry activity12:00 — 4.99% of monthly entry activity1213:00 — 5.38% of monthly entry activity5.38%14:00 — 5.16% of monthly entry activity15:00 — 4.6% of monthly entry activity1516:00 — 4.19% of monthly entry activity17:00 — 3.96% of monthly entry activity18:00 — 4.17% of monthly entry activity1819:00 — 3.89% of monthly entry activity20:00 — 3.28% of monthly entry activity21:00 — 1.73% of monthly entry activity1.73%2122:00 — 3.43% of monthly entry activity23:00 — 3.7% of monthly entry activity
Data table — source hours
Data — entry instructions by hour, September 2026
HourShareChange
00:00–01:004.46%0 pp
01:00–02:004.76%-0.1 pp
02:00–03:004.24%0 pp
03:00–04:003.91%+0.1 pp
04:00–05:003.74%+0.1 pp
05:00–06:004.4%+0.2 pp
06:00–07:004.35%+0.1 pp
07:00–08:004.49%+0.3 pp
08:00–09:004.5%+0.3 pp
09:00–10:004.26%+0.2 pp
10:00–11:004.16%+0.2 pp
11:00–12:004.25%0 pp
12:00–13:004.99%+0.1 pp
13:00–14:005.38%-0.2 pp
14:00–15:005.16%-0.3 pp
15:00–16:004.6%-0.2 pp
16:00–17:004.19%-0.1 pp
17:00–18:003.96%-0.1 pp
18:00–19:004.17%+0.2 pp
19:00–20:003.89%-0.1 pp
20:00–21:003.28%-0.1 pp
21:00–22:001.73%0 pp
22:00–23:003.43%-0.3 pp
23:00–00:003.7%-0.3 pp

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 11, Flow by hour of day

Figure 12

Different markets, different hourly patterns

The combined hourly pattern weights each class by its instruction activity. The class-level figures below show how those rhythms differ; source-clock labels remain provisional.

  • Foreign exchange
    17.3%in 12:00–15:591.37×busiest vs quietest hour5.6%weekend vs weekday rate
  • Metals
    22.9%in 12:00–15:5928.65×busiest vs quietest hour3.8%weekend vs weekday rate
  • Equity indices
    21.2%in 12:00–15:5911.69×busiest vs quietest hour3.8%weekend vs weekday rate
  • Crypto
    17.4%in 12:00–15:591.18×busiest vs quietest hour89.5%weekend vs weekday rate
Data table — rhythm by asset class
Intraday concentration by asset class, September 2026
Asset classShare in 12:00–15:59Peak-to-quiet ratioWeekend vs weekday rate
Foreign exchange17.3%1.37×5.6%
Metals22.9%28.65×3.8%
Equity indices21.2%11.69×3.8%
Crypto17.4%1.18×89.5%

Metals swing 28.65× between their busiest and quietest hour; crypto swings 1.18×. Read the separate market patterns before applying the combined hourly pattern to one market.

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 12, Different markets, different hourly patterns

Figure 13

Weekends are a different market mix entirely

Weekend activity is roughly 11% of an average weekday, but its composition is a different market entirely. A weekend instruction can be received when the underlying market is not trading normally — this says nothing about execution or liquidity.

Weekday composition

Weekend composition

Crypto is 8% of weekday activity and 63.1% of weekend activity. These are different instruction mixes.

Data table — weekday vs weekend composition
Activity composition, weekday vs weekend, September 2026
Asset classShare of weekday activityShare of weekend activity
Foreign exchange36.7%17.9%
Metals36.4%12.3%
Equity indices17.8%5.9%
Crypto8%63.1%
Other1.1%0.8%

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 13, Weekday and weekend composition

Figure 14

Flow by day of week

Indexed so the average weekday = 100, which corrects for months containing unequal numbers of each weekday.

Mon: 101MonTue: 100.2TueWed: 98.9WedThu: 105.7ThuFri: 94.2FriSat: 7.4SatSun: 15.3Sun
Data table
Data — weekday index, September 2026
DayIndexChange
Mon101-0.8
Tue100.2-1.1
Wed98.9-2.6
Thu105.7+4.4
Fri94.2+0.2
Sat7.4-2.3
Sun15.3-2

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data.Download data (CSV): Figure 14, Flow by day of week

Fast facts

September 2026 · source hours

  • Busiest hour13:00–14:00 · 5.38%
  • Quietest hour21:00–22:00 · 1.73%
  • Peak-to-quiet swing3.11× · August 2026: 3.2×
  • Strongest 4-hour block12:00–15:59 · 20.1%
  • Weekend vs weekday11.3% · of average weekday activity

Source hours are provisional labels.

How instructions were writtenEntry commands and recognised exit fields

07 · Setup patterns

How the automation was actually written

Entry instructions carry more than a market and a direction. Their command family and recognised exit fields describe how they were constructed. Compare the month-wide mix with the class breakdown before drawing a conclusion from the overall average.

Figure 15

Exit levels attached to entry instructions

Every entry instruction falls into exactly one of these four groups.

Both SL and TP: 55.5%SL only: 10.8%TP only: 1.8%Neither field: 31.8%
  • Both SL and TP55.5%3.0 pp increase
  • SL only10.8%4.1 pp decrease
  • TP only1.8%1.7 pp decrease
  • Neither field31.8%2.7 pp increase
Any stop-loss field66.4%0.9 pp decrease
Any take-profit field57.4%1.4 pp increase

Field presence describes instruction text, not protection.

Data table — exit fields, September 2026
Data — exit fields on entry instructions, September 2026 vs August 2026
GroupSeptember 2026August 2026Change
Both SL and TP55.5%52.5%+3 pp
SL only10.8%14.9%-4.1 pp
TP only1.8%3.5%-1.7 pp
Neither field31.8%29.1%+2.7 pp

Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 15, Exit levels attached to entry instructions

Table 2

How field presence changed within each class

Recognised field presence by asset class, in percentage points versus the stated comparison window. The class breakdown shows which movements contribute to the overall change.

Change in recognised exit-field presence by asset class, percentage points
Asset classSL fieldTP fieldNeither field
Foreign exchange−0.8 pp+1.2 pp+0.8 pp
Metals−3.1 pp−5.7 pp+6.7 pp
Equity indices+3.6 pp+9.8 pp−2.4 pp
Crypto+1.0 pp+6.0 pp+2.2 pp

    Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Table 2, How field presence changed within each class

    A useful review question rather than a verdict: where is your exit logic intended to live — in the alert itself, in EA settings, in a later management command, or in the strategy — and is that split deliberate?

    Figure 16

    How entry commands were constructed

    Compare each family’s share with its activity change. A smaller share can still accompany an increase in instructions.

    • Direct-entry commands96.8% → 96.5%0.3% decrease
    • Close-and-reverse entries1.8% → 1.7%2.3% decrease
    • Pending-entry commands1.4% → 1.7%23.0% increase

    Command families as received by the bridge.

    Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data. Instruction-weighted: each instruction counts once.Download data (CSV): Figure 16, How entry commands were constructed

    Figure 17

    Management did not disappear — it changed shape

    These changes describe received management commands. They do not establish how the resulting orders were managed.

    • Pending-order cancellations+93.1%
    • SL/TP modifications−31.0%
    • Side-specific closes+24.1%
    • Close-all / close-both-side+24.2%
    • Percentage-based partial closes+0.4%
    • Volume-based partial closes−30.1%

    Changes in the mix of instructions received.

    Source: PineConnector Pulse, September 2026 Monthly Bulletin; aggregated instruction data.Download data (CSV): Figure 17, Management and other command change