# Apex Trading — complete walkthrough and one-year example

Interactive guide: https://apextrad.ing/learn
Year explorer: https://apextrad.ing/learn/year
All strategy instructions: https://apextrad.ing/learn/strategies

**Synthetic educational example. No historical 2025 prices, actual trading returns, or AI responses are claimed.**

This guide describes the implementation deployed with this learning center. Integration availability and listed plan prices can change.

## 1. Start with the right mental model

Overview · 2 min

Apex is a paper desk for binary Up/Down tickets. It reads public crypto prices, derives its own implied prices, and keeps a practice ledger. It does not buy crypto, connect a brokerage account, or send live orders.

1. Use the homepage Looks bar to preview the ten visual presentations. They lead to the same account and desk.
2. Read the difference between the live spot price and the synthetic Up/Down price. An Up price of 60¢ means a $5 paper ticket buys about 8.33 shares.
3. Follow this guide in order, then use the year example to inspect every strategy without opening an account.

**Expected:** You can explain what is live (public price/news feeds), what is modeled (binary pricing and fills), and what is saved (your account ledger).

**Know before continuing:** Paper credits are not deposits, cryptocurrency, withdrawable funds, or a promise of future earnings.

[Open Overview](https://apextrad.ing/)

## 2. Create your practice account

Sign in · 2 min

An account keeps your bots, paper balance, fills, and plan attached to you. The walkthrough and year example stay available without signing in.

1. Choose Sign up. Enter your name, email, and a password of at least eight characters, then submit the account form.
2. For an existing account, switch to Log in and use its email and password. The desk opens after authentication.
3. Check that Observer is selected and Paper credits shows $5,000 before your first ticket. Use your account menu to sign out when finished.

**Expected:** An empty fleet and a $5,000 Observer paper balance. Signing back in loads the saved account.

**Know before continuing:** Email/password is available on this deployment. Federated Google/X sign-in needs production provider configuration; the current login hides those buttons. There is no password-reset screen in this version.

[Open Sign in](https://apextrad.ing/login?next=%2Fapp)

## 3. Read Exchanges before arming a bot

Exchanges · 3 min

The Exchanges board compares 23 configured venue entries across BTC, ETH, and SOL. A configured entry does not guarantee that its feed is currently responding.

1. Open Exchanges. Select BTC-USD, ETH-USD, or SOL-USD, then filter all, spot, perp, or predict.
2. Read Last, vs median, Latency, and Status. The composite uses the median of available spot quotes; the source label identifies the current source or fallback.
3. Check the live count and individual status messages. Tightest means closest to the displayed median, not the cheapest executable order.
4. Treat Polymarket here as a paper view of the composite. You are not inspecting a live Polymarket order book or signing an exchange transaction.

**Expected:** You can identify which feeds supplied a current price and which are unavailable.

**Know before continuing:** The bot may fall back to the composite when its chosen venue has no quote. A venue-specific last price can be compared with windows built from the composite; this is a simplified paper model.

[Open Exchanges](https://apextrad.ing/app/exchanges)

## 4. Create your first paper bot

Bots · 4 min

Use this reproducible learning setup: name Tutorial BTC, venue Polymarket, pair BTC-USD, rule Soft Momentum, window 5 minutes, and size $5. It is a demonstration configuration, not a recommendation.

1. Open Bots and enter the name, venue, and pair. Choose the Momentum family and search Soft Momentum, or leave All families selected and find it in Algo.
2. Select 5 minutes and enter 5 in Size (USD). Each fill spends that amount; it is not a maximum loss for the whole day.
3. Choose Create paper bot. The new Fleet row starts idle. Check its rule, pair, venue, and size before choosing Arm.
4. Return to Desk to let the active bot evaluate fresh quotes. A rule waits for its conditions; it does not have to trade immediately.

**Expected:** A saved bot appears in Fleet. Arm changes it to active; the Desk lists it as live.

**Know before continuing:** Observer allows one saved bot and 12 rules. Paused bots still occupy a slot. To change settings in this version, pause and remove that bot, then create its replacement; there is no edit form.

[Open Bots](https://apextrad.ing/app/bots)

## 5. Understand the Desk and its clock

Desk · 4 min

Desk combines a spot tape, 5-minute and 15-minute windows, paper credits, active bots, and the execution tape. Selecting a displayed pair does not reconfigure an existing bot.

1. Read the two window cards: opening reference, running time-weighted average (TWAP), Up/Down implied prices, and remaining time.
2. A window opens at the first quote observed by this browser in that clock interval. If you arrive mid-window, that is not the true exchange opening price.
3. Keep Desk open through at least one whole window. When the next interval starts, Up wins if the completed window average is at least its opening reference; otherwise Down wins.
4. Read Paper credits as available cash. An open ticket has already reserved its stake, so a temporary lower cash balance is not the same as a settled loss.

**Expected:** You can distinguish last price, window average, entry price, reserved cash, and final settlement.

**Know before continuing:** Bots run in the Desk browser view, not in a background Railway scheduler. Leaving Desk, sleeping the device, or closing the tab stops evaluation. Reopening does not reconstruct missed windows, and older open tickets may remain unsettled. Keep one Desk tab open for a practice session.

[Open Desk](https://apextrad.ing/app)

## 6. Follow one ticket from entry to settlement

Execution tape · 3 min

Example: spend $5 on Up at 60¢. The modeled share quantity is $5 ÷ $0.60 = 8.3333. The payout is rounded to the nearest cent when the window settles.

1. On entry, the execution tape shows the side, pair, rule, price, and open status. Available paper credits fall by $5.
2. If the window average finishes at or above the opening reference, this Up ticket pays $8.33: your net gain is $3.33.
3. If the average finishes below the opening reference, payout is $0: your net loss is $5. A tie belongs to Up.
4. For a Down ticket, reverse the winning condition. Review both winning and losing tickets, then compare the exact example trades in the year explorer.

**Expected:** Starting with $5,000, this single example ends with either $5,003.33 or $4,995.00, before any modeled stress costs.

**Know before continuing:** The live desk currently adds no trading fees or slippage. Closed P&L sums the closed fills in the latest 80 retrieved tickets; it is not a lifetime performance report. The year explorer keeps its own complete simulated totals.

[Open Execution tape](https://apextrad.ing/app)

## 7. Explore all 100 rules

Strategy library · 6 min

The catalog contains 100 parameterized variants in ten families. Their names are labels for this implementation; several familiar indicator names use the same simpler decision rule.

1. Open the strategy library. Filter by family or search a name, then expand a rule to read its actual trigger and plan requirement.
2. Use Inspect year example to see its 5-minute or 15-minute results, daily equity, monthly breakdown, and actual captured decisions from the synthetic replay.
3. Compare entry timing and price as well as P&L. Probe + Scale can place two full-size tickets in a window; the other automatic single-phase rules place at most one.
4. Read the implementation notes: VWAP uses a simple sampled average, RSI/MACD-style labels do not calculate those indicators, and the news variants consume the same aggregate wire bias.

**Expected:** You can explain why a particular rule enters, why another stays inactive, and which variants share logic.

**Know before continuing:** Shadow Sniper currently buys the favorite. The four Maker rules never enter on the current complementary book. Director + Wire is a threshold rule, while Grok Director requires a real, user-triggered model response.

[Open Strategy library](https://apextrad.ing/learn/strategies)

## 8. Read the Wire and its limits

Wire · 3 min

Wire has 30 configured news collectors covering crypto, macro, regulators, and other beats. A connected Codex 5.3 Spark worker classifies new headlines and feed excerpts. Collector health and model scoring are separate indicators.

1. Open Wire. Check Agents live, Bias, Heat, and Last pull before reading a headline.
2. Check Scoring engine for bridge connection, coverage, and Last score. Each headline names Spark or Keywords and shows its publication time. Spark results include a rationale, classification confidence, and scoring time.
3. Select a beat to filter the displayed headlines. Open a source link to read the original context and time.
4. Scroll to collector health for failures or empty feeds. The shared cache refreshes on a roughly 60-second schedule; the page checks it every 20 seconds.
5. Spark reads supplied headlines and excerpts, without independently verifying full articles. The bridge queues up to 20 items per call, checks about once per minute, and limits work to 30 calls per rolling hour and 360 per rolling day. Unchanged scores are reused for up to six hours; headlines older than 24 hours are not sent to Spark.
6. Bias is Spark direction multiplied by classification confidence. The existing crypto-versus-macro weights produce the shared bias; heat combines model intensity and confidence on the existing paper-engine scale. Pending headlines use keyword scores. If the bridge heartbeat is older than three minutes, the server uses keywords; if the desk itself cannot refresh news for three minutes, its news inputs become zero.
7. For a news strategy, use the library to inspect the minimum absolute bias and heat. A beat filter changes the visible list, not the aggregate input consumed by bots.

**Expected:** You can separate a headline, a collector status, the aggregate score, and a strategy threshold.

**Know before continuing:** The Spark bridge runs from the connected Mac and requires it to be awake, online, and signed into Codex. RSS delivery is near real time, with publisher delays. News scores can be stale, incomplete, or wrong. The year example uses invented news inputs; it does not replay Spark or claim historical news foresight. Spark scoring is separate from the manual Grok Director integration.

[Open Wire](https://apextrad.ing/app/wire)

## 9. Use Director deliberately

Grok Director · 3 min

Grok Director is a manual action on the selected pair’s live 5-minute window. It requires a Desk or Command seat and a configured server-side xAI integration.

1. Check your plan and a populated 5-minute window. With the integration available, choose Direct this 5m window once.
2. The app sends the current open, last, average, time left, and implied prices to Grok. A successful response displays a side, confidence, and short rationale, then places one paper fill.
3. An active Grok bot for the selected pair supplies the ticket size. Without one, this action currently defaults to a $25 ticket. Check your intended size before using it.
4. On Wire, Grok brief this tape asks for a headline summary. It shares the Director’s 12-second cooldown and does not itself place a trade.

**Expected:** With valid integration access, you see a genuine response or an explicit error. An armed Grok bot does not autonomously call the model.

**Know before continuing:** The current deployment has no xAI key. The year replay records Grok Director as requires AI, with no performance result. It never substitutes scripted responses or makes millions of paid model calls.

[Open Grok Director](https://apextrad.ing/app)

## 10. Understand plans and billing

Billing · 3 min

Observer offers one bot, $5,000 paper credits, and 12 rules. Desk offers three bots, $50,000 credits, and 50 rules. Command offers eight bots, $250,000 credits, and all 100 catalog entries.

1. Read Full plans or Billing and compare the limits. Desk is listed at $37/month or $317/year; Command at $137/month or $777/year.
2. Choose the monthly/yearly interval before selecting a plan. If live checkout is configured, review the payment provider’s amount and complete or cancel there.
3. Inspect the resulting plan and invoice status. A preview-paid record is a test seat, not proof of a real payment.
4. Be deliberate when changing seats: the current implementation resets paper credits to the new plan bankroll and may pause extra bots.

**Expected:** You can identify a software seat, its paper limits, a billing interval, and a real versus preview invoice.

**Know before continuing:** PayPal is not configured on this deployment; plan buttons can activate preview seats without taking money. The current integration uses checkout orders, so do not assume automatic recurring renewals or a working cancellation portal.

[Open Billing](https://apextrad.ing/app/billing)

## 11. Review a session, then explore a year

Year example · 4 min

Pause new entries in Bots before finishing a session. Return to Desk and let existing tickets settle; pausing does not cancel an already open ticket.

1. Record which rule, pair, window, and ticket size you used, plus any feed outages or time away from Desk. Remove a bot only when you intend to delete its configuration.
2. Open Year example. Begin with App model, choose a window, and select a strategy. Each strategy has its own $5,000 starting account and fixed $5 tickets.
3. Scrub the month-by-month lesson timeline. Compare drawdown, participation, and the losing trade example, then select Cost stress to rerun the comparison with modeled entry friction.
4. Download the guide, all-strategy summary, and monthly CSV. The reproducible JSON includes every daily balance and the selected example trades; it is independent of your account.

**Expected:** You have a repeatable practice workflow and can read all 100 entries without confusing the example with a historical backtest or a portfolio forecast.

**Know before continuing:** The replay assumes uninterrupted operation for a whole year. Do not interpret it as proof that today’s browser-driven bots operate unattended for a year.

[Open Year example](https://apextrad.ing/learn/year)

## One year, four comparisons

Each rule has its own $5,000 account and fixed $5 tickets. These are separate alternatives, not a combined portfolio.

| Window | Execution | Trading rules | No-entry rules | AI unavailable | Positive | Negative | Flat |
|---|---|---:|---:|---:|---:|---:|---:|
| 5m | desk | 93 | 6 | 1 | 48 | 45 | 6 |
| 5m | stress | 93 | 6 | 1 | 47 | 46 | 6 |
| 15m | desk | 95 | 4 | 1 | 51 | 44 | 4 |
| 15m | stress | 95 | 4 | 1 | 48 | 47 | 4 |

### Month-by-month curriculum

- **January — Quiet range:** Low activity can be a valid outcome. Compare quiet-tape rules with thresholds that never fire.
- **February — Slow climb:** Watch how following and fading the same move create opposite tickets.
- **March — Volatility burst:** More trades do not guarantee better results. Inspect losses and drawdown alongside wins.
- **April — Pullback:** A direction filter matters: Risk-On and Risk-Off can take different opportunities.
- **May — Recovery:** Compare early probes with late confirmations. Each phase uses the full configured ticket size.
- **June — Calm tape:** Complete-set strategies still wait: this paper book always totals one dollar.
- **July — Shock season:** Synthetic news bias is only an input. It does not know the next move.
- **August — Rebound:** Compare the two windows on the same path. Longer windows change entry and settlement.
- **September — Steady trend:** A high win rate can hide expensive entries. Read payout as well as accuracy.
- **October — Choppy tape:** Switch on the cost stress case to see how repeated small costs change the ledger.
- **November — Selloff:** Strategies that exhaust their paper cash stop placing tickets. No replenishment is added.
- **December — Mixed close:** Review the entire year, including inactive and losing rules. This scenario cannot select a real-world winner.

### Exact assumptions and limitations

1. Synthetic BTC-USD path, 1 January–31 December 2025 UTC. The dates organize an invented 365-day example; no 2025 market history, candles, or headlines were downloaded.
2. Seed 73129 is fixed before the run. Twelve predefined regimes change daily drift and volatility; Gaussian innovations and six-hour shocks generate the path. News bias/heat use an independent seeded stream every 15 minutes and do not look at future returns.
3. All 12,614,400 quote samples are evaluated at the live desk’s nominal 2.5-second cadence. Two aligned windows run on the same price path: 105,120 five-minute windows and 35,040 fifteen-minute windows. Ending windows settle before the next boundary quote is ingested.
4. The replay calls the app’s actual strategy decision function, shared implied-price model, and rounded payout function. The last 180 prices and six-tick momentum match the continuous browser session’s definitions. It does not replace the simplified rules with textbook indicators.
5. Every strategy/window/cost case starts in its own $5,000 account, uses a fixed $5 stake per phase, and receives no capital top-ups. No plan limit is applied to this read-only educational comparison. It is not one account running 100 bots, and it is not a combined portfolio.
6. A phase fires at most once per window. Probe + Scale can spend $10 across two $5 entries. Full stake and any fee are deducted at entry; winning payout is stake divided by binary price, rounded to cents; losing payout is zero. Up wins a tie of final window average versus open.
7. App model uses zero fees and zero slippage, matching the live paper ledger. Cost stress separately simulates a 20-bp stake fee (1¢ per $5 ticket) and a 25-bp absolute adverse entry-price shift (0.25¢), capped below $1. Insufficient cash skips a ticket; no borrowing, liquidation, or negative balance is modeled.
8. The report includes all entries: 99 deterministic rules evaluated and Grok Director explicitly excluded from performance because it needs genuine user-triggered model responses. The four Maker variants have zero entries because Up plus Down equals exactly $1. No artificial underpriced books are inserted to manufacture trades.
9. Metrics use the full simulated ledger. Daily equity is sampled after all UTC day-end settlements; maximum drawdown is checked after every window settlement. Monthly P&L sums net ticket outcomes. Example trades are the first in each active month plus early distinct win/loss and direction examples, not hand-picked best trades.
10. Idealized continuous operation: one coherent composite feed, no missing ticks, browser suspension, duplicate tabs, execution delay, partial fills, venue restrictions, taxes, funding, market impact, or subscription charges. The current real app needs Desk open and does not reconstruct missed windows. The modeled book is not executable or calibrated to real probabilities.
11. A profitable synthetic result only demonstrates this model on these inputs. It is not real historical performance, an estimate of future returns, or evidence that a strategy works in real markets. This one seed is not statistical validation; there is no out-of-sample study or confidence interval.

[CFTC explanation of the limitations of hypothetical trading results](https://www.cftc.gov/LearnAndProtect/AdvisoriesAndArticles/fraudadv_tradingsystem.html)

Model source SHA-256: f7edb0748c2e4ca6b618192ca36492a1d60d372a70d0baa7fe38598c450badda

## Every strategy: configuration and actual behavior

### 01. Late Sniper

Sniper · minimum plan: observer · rule type: late_snipe

**Entry:** Within 80%–100% of the window, buy the favorite at or above 90¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Late Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=sniper

### 02. Probe + Scale

Probe · minimum plan: observer · rule type: probe_scale

**Entry:** Before 22%, probe Up if the average delta is nonnegative, otherwise Down. After 55%, also buy the favorite when absolute average delta exceeds 0.025% and its price exceeds 62¢.

**Implementation:** Two independent phases, both at the full configured size. Scale does not require a successful probe. This is not a smaller probe followed by a larger ticket.

**Configure:** Bots → select Probe + Scale → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=probe

### 03. Clock Sniper

Sniper · minimum plan: observer · rule type: late_snipe

**Entry:** Within 88%–100% of the window, buy the favorite at or above 93¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Clock Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=clock

### 04. Late Confirm

Sniper · minimum plan: observer · rule type: late_snipe

**Entry:** Within 72%–100% of the window, buy the favorite at or above 82¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Late Confirm → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=confirm

### 05. First Print

Probe · minimum plan: observer · rule type: first_print

**Entry:** Within 0%–12% of the window, buy with the average delta once its absolute size reaches 0.012%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select First Print → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=first

### 06. Opening Drive

Breakout · minimum plan: observer · rule type: breakout

**Entry:** Within 0%–34% of the window, buy with the average delta when its absolute value exceeds 0.035%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Opening Drive → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=or_drive

### 07. VWAP Hold

VWAP / TWAP · minimum plan: observer · rule type: vwap_reclaim

**Entry:** Within 18%–100% of the window, buy Up when spot is at/above TWAP and delta is nonnegative; buy Down when spot is at/below TWAP and delta is negative. Otherwise allow Up when spot ≥ TWAP and open > 99.9% of TWAP, or Down when spot ≤ TWAP and open < 100.1% of TWAP.

**Implementation:** Uses the sampled arithmetic average, not volume-weighted prices. A previous crossing or reclaim is not required.

**Configure:** Bots → select VWAP Hold → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vwap_hold

### 08. Soft Momentum

Momentum · minimum plan: observer · rule type: momentum

**Entry:** Within 15%–90% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.025% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Soft Momentum → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mom_soft

### 09. Range Fade

Fade · minimum plan: observer · rule type: fade

**Entry:** Within 0%–50% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.045%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Range Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=range_fade

### 10. Headline Follow

News · minimum plan: observer · rule type: news_follow

**Entry:** Within 8%–85% of the window, buy in the direction of aggregate news bias when absolute bias is at least 22% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Headline Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_follow

### 11. Tick Impulse

Momentum · minimum plan: observer · rule type: momentum

**Entry:** Within 10%–80% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.05% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Tick Impulse → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=tick

### 12. TWAP Drift

VWAP / TWAP · minimum plan: observer · rule type: vwap_reclaim

**Entry:** Within 28%–70% of the window, buy Up when spot is at/above TWAP and delta is nonnegative; buy Down when spot is at/below TWAP and delta is negative. Otherwise allow Up when spot ≥ TWAP and open > 99.9% of TWAP, or Down when spot ≤ TWAP and open < 100.1% of TWAP.

**Implementation:** Uses the sampled arithmetic average, not volume-weighted prices. A previous crossing or reclaim is not required.

**Configure:** Bots → select TWAP Drift → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=twap

### 13. Momentum

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 20%–85% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.04% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Momentum → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mom

### 14. Fade Move

Fade · minimum plan: desk · rule type: fade

**Entry:** Within 0%–45% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.07%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Fade Move → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=fade

### 15. Complete Set

Maker · minimum plan: desk · rule type: set

**Entry:** Buy both sides when Up + Down is below 99¢.

**Implementation:** Currently no qualifying trades: the app’s book always has Up + Down = $1. If this predicate fired on another book, each side would receive the full ticket budget, not equal share quantities.

**Configure:** Bots → select Complete Set → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=set

### 16. Grok Director

Regime / AI · minimum plan: desk · rule type: grok

**Entry:** No automatic predicate. A person presses Direct this 5m window; a genuine Grok response chooses Up or Down and triggers a paper fill.

**Implementation:** Requires Desk/Command and the xAI integration. No model output is invented in the year example, so performance is unavailable.

**Configure:** Bots → select Grok Director → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Director requires a manual request and real AI access.

**Year example:** https://apextrad.ing/learn/year?strategy=grok

### 17. Donchian Break

Breakout · minimum plan: desk · rule type: breakout

**Entry:** Within 20%–100% of the window, buy with the average delta when its absolute value exceeds 0.055%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Donchian Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=donchian

### 18. Failed Break

Breakout · minimum plan: desk · rule type: failed_break

**Entry:** Within 35%–100% of the window, fade an absolute average delta above 0.04%, unless momentum has the same sign and exceeds 0.015% of current spot.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Failed Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=failed

### 19. VWAP Fade

VWAP / TWAP · minimum plan: desk · rule type: vwap_fade

**Entry:** Within 20%–100% of the window, buy opposite spot versus TWAP when their absolute difference divided by open is at least 0.05%.

**Implementation:** No volume weighting or earlier rejection event is checked.

**Configure:** Bots → select VWAP Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vwap_fade

### 20. Vol Expansion

Volatility · minimum plan: desk · rule type: vol_expand

**Entry:** Within 15%–100% of the window, buy with average delta when the rolling range is at least 0.12%.

**Implementation:** Uses the high-low range of the last 180 samples, not an ATR indicator.

**Configure:** Bots → select Vol Expansion → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vol_exp

### 21. Squeeze Release

Volatility · minimum plan: desk · rule type: squeeze

**Entry:** From 30%, buy with average delta when rolling range exceeds 0.098% and absolute delta exceeds 0.025%.

**Implementation:** The current rule checks expansion; it does not require a previously observed low-range squeeze or inside candle.

**Configure:** Bots → select Squeeze Release → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=squeeze

### 22. Exhaustion Fade

Fade · minimum plan: desk · rule type: exhaust

**Entry:** From 70%, buy opposite average delta when its absolute size exceeds 0.09%.

**Implementation:** No wick, stop-run, or momentum slowdown is required.

**Configure:** Bots → select Exhaustion Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=exhaust

### 23. Two-Window Agree

Regime / AI · minimum plan: desk · rule type: agree

**Entry:** Within 25%–100% of the window, buy the favorite when both windows agree and its price is at least 62¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Two-Window Agree → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=agree

### 24. Headline Fade

News · minimum plan: desk · rule type: news_fade

**Entry:** From 0% of the window, buy opposite news bias if absolute bias is at least 28%, heat is at least 12%, and absolute average delta is at least 0.04%.

**Implementation:** Uses aggregate wire inputs, not a topic-specific headline, and does not verify that price moved in the direction of the news.

**Configure:** Bots → select Headline Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_fade

### 25. Mean Revert

Fade · minimum plan: desk · rule type: mean_revert

**Entry:** Within 35%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.08%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Mean Revert → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mean

### 26. Opening Range Break

Breakout · minimum plan: desk · rule type: breakout

**Entry:** Within 20%–65% of the window, buy with the average delta when its absolute value exceeds 0.04%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Opening Range Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=orb

### 27. Gap and Go

Breakout · minimum plan: desk · rule type: breakout

**Entry:** Within 0%–40% of the window, buy with the average delta when its absolute value exceeds 0.07%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Gap and Go → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=gap

### 28. Trend Trail

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 30%–92% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.035% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Trend Trail → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=trail

### 29. Micro Scalp

Probe · minimum plan: desk · rule type: early_probe

**Entry:** Within 0%–16% of the window, buy Up for a nonnegative average delta, otherwise Down.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Micro Scalp → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=scalp

### 30. Liquidity Sweep

Fade · minimum plan: desk · rule type: exhaust

**Entry:** From 40%, buy opposite average delta when its absolute size exceeds 0.1%.

**Implementation:** No wick, stop-run, or momentum slowdown is required.

**Configure:** Bots → select Liquidity Sweep → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=sweep

### 31. Pin Risk

Maker · minimum plan: desk · rule type: set

**Entry:** Buy both sides when Up + Down is below 99¢. Absolute average delta must also be at most 0.025%.

**Implementation:** Currently no qualifying trades: the app’s book always has Up + Down = $1. If this predicate fired on another book, each side would receive the full ticket budget, not equal share quantities.

**Configure:** Bots → select Pin Risk → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=pin

### 32. Level Reclaim

Breakout · minimum plan: desk · rule type: vwap_reclaim

**Entry:** Within 22%–100% of the window, buy Up when spot is at/above TWAP and delta is nonnegative; buy Down when spot is at/below TWAP and delta is negative. Otherwise allow Up when spot ≥ TWAP and open > 99.9% of TWAP, or Down when spot ≤ TWAP and open < 100.1% of TWAP.

**Implementation:** Uses the sampled arithmetic average, not volume-weighted prices. A previous crossing or reclaim is not required.

**Configure:** Bots → select Level Reclaim → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=reclaim

### 33. Level Reject

Fade · minimum plan: desk · rule type: vwap_fade

**Entry:** Within 20%–100% of the window, buy opposite spot versus TWAP when their absolute difference divided by open is at least 0.03%.

**Implementation:** No volume weighting or earlier rejection event is checked.

**Configure:** Bots → select Level Reject → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=reject

### 34. Hammer Reversal

Fade · minimum plan: desk · rule type: mean_revert

**Entry:** Within 25%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.09%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Hammer Reversal → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=hammer

### 35. Engulf Follow

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 18%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.07% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Engulf Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=engulf

### 36. Inside Bar Break

Breakout · minimum plan: desk · rule type: squeeze

**Entry:** From 25%, buy with average delta when rolling range exceeds 0.0784% and absolute delta exceeds 0.025%.

**Implementation:** The current rule checks expansion; it does not require a previously observed low-range squeeze or inside candle.

**Configure:** Bots → select Inside Bar Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=inside

### 37. Outside Bar Fade

Fade · minimum plan: desk · rule type: fade

**Entry:** Within 0%–55% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.08%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Outside Bar Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=outside

### 38. Keltner Ride

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 20%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.045% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Keltner Ride → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=keltner

### 39. Band Fade

Fade · minimum plan: desk · rule type: mean_revert

**Entry:** Within 30%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.085%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Band Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=boll

### 40. Overbought Fade

Fade · minimum plan: desk · rule type: fade

**Entry:** Within 40%–100% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.05%. Favorite must also be at least 78¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Overbought Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=rsi_ob

### 41. Oversold Bounce

Fade · minimum plan: desk · rule type: mean_revert

**Entry:** Within 40%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.05%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Oversold Bounce → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=rsi_os

### 42. Cross Follow

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 35%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.03% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Cross Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=macd

### 43. Turn Follow

Momentum · minimum plan: desk · rule type: momentum

**Entry:** Within 40%–80% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.032% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Turn Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=stoch

### 44. ATR Break

Volatility · minimum plan: desk · rule type: vol_expand

**Entry:** Within 20%–100% of the window, buy with average delta when the rolling range is at least 0.1%.

**Implementation:** Uses the high-low range of the last 180 samples, not an ATR indicator.

**Configure:** Bots → select ATR Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=atr

### 45. High-Vol Fade

Volatility · minimum plan: desk · rule type: vol_crush

**Entry:** Within 45%–100% of the window, buy opposite average delta if rolling range is at least 0.2%.

**Implementation:** Except Low-Vol Drift’s quiet-range filter, the predicate checks a large range; it does not require volatility to have fallen.

**Configure:** Bots → select High-Vol Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=hv

### 46. Low-Vol Drift

Volatility · minimum plan: desk · rule type: vol_crush

**Entry:** Within 30%–100% of the window, buy the favorite if rolling range is at most 0.04% and its price is at least 60¢.

**Implementation:** Except Low-Vol Drift’s quiet-range filter, the predicate checks a large range; it does not require volatility to have fallen.

**Configure:** Bots → select Low-Vol Drift → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=lv

### 47. Macro Follow

News · minimum plan: desk · rule type: news_follow

**Entry:** Within 5%–90% of the window, buy in the direction of aggregate news bias when absolute bias is at least 30% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Macro Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_macro

### 48. Regulator Tape

News · minimum plan: desk · rule type: news_follow

**Entry:** Within 10%–100% of the window, buy in the direction of aggregate news bias when absolute bias is at least 26% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Regulator Tape → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_sec

### 49. Scale-In

Probe · minimum plan: desk · rule type: scale

**Entry:** Within 55%–100% of the window, buy the favorite at or above 64¢.

**Implementation:** This rule has one scale phase. It does not inspect a prior probe or add multiple growing positions.

**Configure:** Bots → select Scale-In → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=scale_only

### 50. Soft Sniper

Sniper · minimum plan: desk · rule type: late_snipe

**Entry:** Within 75%–100% of the window, buy the favorite at or above 86¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Soft Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=soft_snipe

### 51. Ultra Sniper

Sniper · minimum plan: command · rule type: late_snipe

**Entry:** Within 92%–100% of the window, buy the favorite at or above 96¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Ultra Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=ultra_snipe

### 52. Shadow Sniper

Sniper · minimum plan: command · rule type: late_snipe

**Entry:** Within 78%–100% of the window, buy the favorite at or above 70¢.

**Implementation:** Despite its catalog blurb, the current rule buys the favorite. It does not reverse into the underdog or test fading momentum.

**Configure:** Bots → select Shadow Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=shadow_snipe

### 53. Wide Probe

Probe · minimum plan: command · rule type: early_probe

**Entry:** Within 0%–28% of the window, buy Up for a nonnegative average delta, otherwise Down.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Wide Probe → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=probe_wide

### 54. Double Scale

Probe · minimum plan: command · rule type: scale

**Entry:** Within 62%–100% of the window, buy the favorite at or above 70¢.

**Implementation:** This rule has one scale phase. It does not inspect a prior probe or add multiple growing positions.

**Configure:** Bots → select Double Scale → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=double_scale

### 55. Hard Momentum

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 18%–88% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.08% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Hard Momentum → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mom_hard

### 56. Late Momentum

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 66%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.04% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Late Momentum → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mom_late

### 57. Late Fade

Fade · minimum plan: command · rule type: fade

**Entry:** Within 50%–85% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.06%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Late Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=fade_late

### 58. Hard Fade

Fade · minimum plan: command · rule type: fade

**Entry:** Within 0%–40% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.12%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Hard Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=fade_hard

### 59. Tight Set

Maker · minimum plan: command · rule type: set

**Entry:** Buy both sides when Up + Down is below 97¢.

**Implementation:** Currently no qualifying trades: the app’s book always has Up + Down = $1. If this predicate fired on another book, each side would receive the full ticket budget, not equal share quantities.

**Configure:** Bots → select Tight Set → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=set_tight

### 60. Grid Up

Regime / AI · minimum plan: command · rule type: grid

**Entry:** Within 15%–100% of the window, buy Up when spot is at/below TWAP.

**Implementation:** One grid phase per window. There is no multi-level grid, repeated layering, or martingale sizing.

**Configure:** Bots → select Grid Up → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=grid_up

### 61. Grid Down

Regime / AI · minimum plan: command · rule type: grid

**Entry:** Within 15%–100% of the window, buy Down when spot is at/above TWAP.

**Implementation:** One grid phase per window. There is no multi-level grid, repeated layering, or martingale sizing.

**Configure:** Bots → select Grid Down → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=grid_dn

### 62. Late Break

Breakout · minimum plan: command · rule type: breakout

**Entry:** Within 50%–100% of the window, buy with the average delta when its absolute value exceeds 0.045%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Late Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=break_late

### 63. Early Break

Breakout · minimum plan: command · rule type: breakout

**Entry:** Within 0%–22% of the window, buy with the average delta when its absolute value exceeds 0.03%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Early Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=break_early

### 64. Late Failed Break

Breakout · minimum plan: command · rule type: failed_break

**Entry:** Within 66%–100% of the window, fade an absolute average delta above 0.035%, unless momentum has the same sign and exceeds 0.015% of current spot.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Late Failed Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=fail_late

### 65. VWAP Snap

VWAP / TWAP · minimum plan: command · rule type: vwap_reclaim

**Entry:** Within 12%–100% of the window, buy Up when spot is at/above TWAP and delta is nonnegative; buy Down when spot is at/below TWAP and delta is negative. Otherwise allow Up when spot ≥ TWAP and open > 99.9% of TWAP, or Down when spot ≤ TWAP and open < 100.1% of TWAP.

**Implementation:** Uses the sampled arithmetic average, not volume-weighted prices. A previous crossing or reclaim is not required.

**Configure:** Bots → select VWAP Snap → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vwap_snap

### 66. VWAP Stretch

VWAP / TWAP · minimum plan: command · rule type: vwap_fade

**Entry:** Within 25%–100% of the window, buy opposite spot versus TWAP when their absolute difference divided by open is at least 0.08%.

**Implementation:** No volume weighting or earlier rejection event is checked.

**Configure:** Bots → select VWAP Stretch → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vwap_stretch

### 67. Vol Burst

Volatility · minimum plan: command · rule type: vol_expand

**Entry:** Within 10%–100% of the window, buy with average delta when the rolling range is at least 0.18%.

**Implementation:** Uses the high-low range of the last 180 samples, not an ATR indicator.

**Configure:** Bots → select Vol Burst → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vol_burst

### 68. Vol Die-Down

Volatility · minimum plan: command · rule type: vol_crush

**Entry:** Within 55%–100% of the window, buy opposite average delta if rolling range is at least 0.15%.

**Implementation:** Except Low-Vol Drift’s quiet-range filter, the predicate checks a large range; it does not require volatility to have fallen.

**Configure:** Bots → select Vol Die-Down → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=vol_die

### 69. Late Squeeze

Volatility · minimum plan: command · rule type: squeeze

**Entry:** From 50%, buy with average delta when rolling range exceeds 0.084% and absolute delta exceeds 0.025%.

**Implementation:** The current rule checks expansion; it does not require a previously observed low-range squeeze or inside candle.

**Configure:** Bots → select Late Squeeze → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=sq_late

### 70. Early Exhaust

Fade · minimum plan: command · rule type: exhaust

**Entry:** From 45%, buy opposite average delta when its absolute size exceeds 0.11%.

**Implementation:** No wick, stop-run, or momentum slowdown is required.

**Configure:** Bots → select Early Exhaust → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=exh_early

### 71. Strict Agree

Regime / AI · minimum plan: command · rule type: agree

**Entry:** Within 20%–100% of the window, buy the favorite when both windows agree and its price is at least 72¢.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Strict Agree → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=agree_strict

### 72. Hot Tape Follow

News · minimum plan: command · rule type: news_follow

**Entry:** Within 5%–92% of the window, buy in the direction of aggregate news bias when absolute bias is at least 40% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Hot Tape Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_hot

### 73. Cool Tape Fade

News · minimum plan: command · rule type: news_fade

**Entry:** From 0% of the window, buy opposite news bias if absolute bias is at least 20%, heat is at least 12%, and absolute average delta is at least 0.035%.

**Implementation:** Uses aggregate wire inputs, not a topic-specific headline, and does not verify that price moved in the direction of the news.

**Configure:** Bots → select Cool Tape Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_cool

### 74. First Headline

News · minimum plan: command · rule type: news_follow

**Entry:** Within 0%–22% of the window, buy in the direction of aggregate news bias when absolute bias is at least 18% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select First Headline → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_first

### 75. Last Headline

News · minimum plan: command · rule type: news_follow

**Entry:** Within 80%–100% of the window, buy in the direction of aggregate news bias when absolute bias is at least 25% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Last Headline → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_last

### 76. Hard Revert

Fade · minimum plan: command · rule type: mean_revert

**Entry:** Within 30%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.13%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Hard Revert → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=mean_hard

### 77. Tight ORB

Breakout · minimum plan: command · rule type: breakout

**Entry:** Within 18%–55% of the window, buy with the average delta when its absolute value exceeds 0.065%.

**Implementation:** This is a delta threshold. A Donchian channel, separate opening range, or gap detector is not calculated.

**Configure:** Bots → select Tight ORB → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=orb_tight

### 78. Gap Fade

Fade · minimum plan: command · rule type: fade

**Entry:** Within 0%–30% of the window, buy opposite the sign of the average delta when its absolute value exceeds 0.08%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Gap Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=gap_fade

### 79. Hard Trail

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 25%–95% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.07% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Hard Trail → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=trail_hard

### 80. Mid Scalp

Probe · minimum plan: command · rule type: early_probe

**Entry:** Within 12%–28% of the window, buy Up for a nonnegative average delta, otherwise Down.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Mid Scalp → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=scalp_mid

### 81. Late Sweep

Fade · minimum plan: command · rule type: exhaust

**Entry:** From 66%, buy opposite average delta when its absolute size exceeds 0.09%.

**Implementation:** No wick, stop-run, or momentum slowdown is required.

**Configure:** Bots → select Late Sweep → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=sweep_late

### 82. Late Reclaim

Breakout · minimum plan: command · rule type: vwap_reclaim

**Entry:** Within 60%–100% of the window, buy Up when spot is at/above TWAP and delta is nonnegative; buy Down when spot is at/below TWAP and delta is negative. Otherwise allow Up when spot ≥ TWAP and open > 99.9% of TWAP, or Down when spot ≤ TWAP and open < 100.1% of TWAP.

**Implementation:** Uses the sampled arithmetic average, not volume-weighted prices. A previous crossing or reclaim is not required.

**Configure:** Bots → select Late Reclaim → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=reclaim_late

### 83. Hard Reject

Fade · minimum plan: command · rule type: vwap_fade

**Entry:** Within 20%–100% of the window, buy opposite spot versus TWAP when their absolute difference divided by open is at least 0.07%.

**Implementation:** No volume weighting or earlier rejection event is checked.

**Configure:** Bots → select Hard Reject → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=reject_hard

### 84. Late Hammer

Fade · minimum plan: command · rule type: mean_revert

**Entry:** Within 70%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.07%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Late Hammer → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=hammer_late

### 85. Late Engulf

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 50%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.055% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Late Engulf → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=engulf_late

### 86. Late Inside Break

Breakout · minimum plan: command · rule type: squeeze

**Entry:** From 50%, buy with average delta when rolling range exceeds 0.07% and absolute delta exceeds 0.025%.

**Implementation:** The current rule checks expansion; it does not require a previously observed low-range squeeze or inside candle.

**Configure:** Bots → select Late Inside Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=inside_late

### 87. Late Keltner

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 55%–100% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.04% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Late Keltner → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=kelt_late

### 88. Late Band Fade

Fade · minimum plan: command · rule type: mean_revert

**Entry:** Within 66%–100% of the window, buy opposite the average delta when its absolute value exceeds 0.07%.

**Implementation:** The rule tests average delta; it does not calculate RSI, Bollinger bands, or a hammer candle.

**Configure:** Bots → select Late Band Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=band_late

### 89. Early Cross

Momentum · minimum plan: command · rule type: momentum

**Entry:** Within 0%–40% of the window, buy in the direction of recent momentum when its absolute size exceeds 0.028% of the current spot price.

**Implementation:** Momentum is latest minus sixth-from-last price. RSI, MACD, Keltner bands, engulfing candles, and crossover indicators are not calculated by this predicate.

**Configure:** Bots → select Early Cross → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=cross_early

### 90. Late ATR Break

Volatility · minimum plan: command · rule type: vol_expand

**Entry:** Within 50%–100% of the window, buy with average delta when the rolling range is at least 0.09%.

**Implementation:** Uses the high-low range of the last 180 samples, not an ATR indicator.

**Configure:** Bots → select Late ATR Break → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=atr_late

### 91. Quiet Sniper

Sniper · minimum plan: command · rule type: late_snipe

**Entry:** Within 82%–100% of the window, buy the favorite at or above 90¢. Rolling range must be at most 0.05%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Quiet Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=quiet_snipe

### 92. Loud Sniper

Sniper · minimum plan: command · rule type: late_snipe

**Entry:** Within 82%–100% of the window, buy the favorite at or above 88¢. Rolling range must be at least 0.14%.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Loud Sniper → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=loud_snipe

### 93. Late Headline Fade

News · minimum plan: command · rule type: news_fade

**Entry:** From 70% of the window, buy opposite news bias if absolute bias is at least 30%, heat is at least 12%, and absolute average delta is at least 0.03%.

**Implementation:** Uses aggregate wire inputs, not a topic-specific headline, and does not verify that price moved in the direction of the news.

**Configure:** Bots → select Late Headline Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=news_fade_late

### 94. Macro Fade

News · minimum plan: command · rule type: news_fade

**Entry:** From 0% of the window, buy opposite news bias if absolute bias is at least 32%, heat is at least 12%, and absolute average delta is at least 0.055%.

**Implementation:** Uses aggregate wire inputs, not a topic-specific headline, and does not verify that price moved in the direction of the news.

**Configure:** Bots → select Macro Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=macro_fade

### 95. ETF Tape

News · minimum plan: command · rule type: news_follow

**Entry:** Within 8%–100% of the window, buy in the direction of aggregate news bias when absolute bias is at least 24% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select ETF Tape → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=etf_follow

### 96. Hack Fade

News · minimum plan: command · rule type: news_fade

**Entry:** From 20% of the window, buy opposite news bias if absolute bias is at least 35%, heat is at least 12%, and absolute average delta is at least 0.04%.

**Implementation:** Uses aggregate wire inputs, not a topic-specific headline, and does not verify that price moved in the direction of the news.

**Configure:** Bots → select Hack Fade → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=hack_fade

### 97. Risk-On Follow

Regime / AI · minimum plan: command · rule type: agree

**Entry:** Within 20%–100% of the window, buy the favorite when both windows agree and its price is at least 60¢. Only Up qualifies.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Risk-On Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=risk_on

### 98. Risk-Off Follow

Regime / AI · minimum plan: command · rule type: agree

**Entry:** Within 20%–100% of the window, buy the favorite when both windows agree and its price is at least 60¢. Only Down qualifies.

**Implementation:** One full-size ticket per qualifying phase per window. No stop-loss or early exit; hold until settlement.

**Configure:** Bots → select Risk-Off Follow → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=risk_off

### 99. Late Pin

Maker · minimum plan: command · rule type: set

**Entry:** Buy both sides when Up + Down is below 99¢. Wait until at least 80% of the window.

**Implementation:** Currently no qualifying trades: the app’s book always has Up + Down = $1. If this predicate fired on another book, each side would receive the full ticket budget, not equal share quantities.

**Configure:** Bots → select Late Pin → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=pin_late

### 100. Director + Wire

Regime / AI · minimum plan: command · rule type: news_follow

**Entry:** Within 10%–90% of the window, buy in the direction of aggregate news bias when absolute bias is at least 45% and heat is at least 15%.

**Implementation:** All news-follow variants use the same aggregate bias. Their macro, ETF, regulator, and Director names do not add topic filters or an AI request.

**Configure:** Bots → select Director + Wire → choose venue/pair → choose 5 or 15 minutes → size → Create paper bot → Arm → return to Desk. Keep Desk open through settlement.

**Year example:** https://apextrad.ing/learn/year?strategy=director_news

## Glossary

- **Window:** A 5- or 15-minute clock interval with its own opening reference, sampled average, and settlement.
- **TWAP:** The arithmetic mean of the prices sampled so far. Uniform replay samples are 2.5 seconds apart. This app’s VWAP labels do not use volume.
- **Favorite:** The side with the higher modeled price. A tie selects Up. It is not a calibrated probability or a guarantee.
- **Delta:** In the decision engine, (running window average − window open) ÷ window open, not the last price’s return.
- **Momentum:** Latest quote minus the sixth-from-last quote, a 12.5-second span at uninterrupted 2.5-second sampling.
- **Range:** Highest minus lowest of the latest 180 quotes, divided by the current window open. This rolling history spans about 7.5 minutes.
- **Basis point (bp):** One ten-thousandth. For the $1 binary contract, 25 price bps means an entry price 0.25¢ higher.
- **Drawdown:** A fall from a prior equity high. The year report measures it after each completed window, not on temporarily reserved cash.
- **Return:** Net simulated P&L divided by the same $5,000 starting capital. Strategies have separate accounts; their percentages are not added.
- **Win rate:** Winning settled tickets ÷ all settled tickets. A high win rate can still lose money when entries are expensive.
- **Profit factor:** Sum of positive net ticket P&L ÷ the absolute sum of negative net ticket P&L. Undefined when there are no losing tickets.
- **Cost stress:** A hypothetical 0.2% fee on each $5 stake plus 0.25¢ added to its entry price. It is not a fee quote from a venue.

## Download the results

- All 100 strategies × two windows × two execution cases: https://apextrad.ing/learn/strategy-year.csv
- All 12 months for those 400 comparison rows: https://apextrad.ing/learn/strategy-months.csv
- Daily cash, example trades and their inputs, source fingerprint, and metadata: https://apextrad.ing/learn/year-example.json

CSV performance cells for Grok Director are intentionally blank. A zero-trade Maker row is an evaluated result; a missing AI result is not.