Glasshouse Research · live track record

The desk, in the open.

This is our actual research desk — every strategy, every backtest, the wins and the losses, exactly as they happened. Most services hide this page. We lead with it — because a track record you can check is worth more than any promise.

The book at a glance

Tested with the same rigour whether the answer was yes or no.

16
Strategies tested (lifetime)
11
Backtest-validated (PF ≥ 1.0)
3
On live capital
5
Killed on data
3
In research pipeline

Activity

12
Strategies in the book
179
Closed live & paper trades
4,974
Backtest trade sample
20
Closed trades · last 2 weeks

Read the stages, not the sum. These rows span paper and testnet — different sizing, not yet real money — so adding them up as one P&L is meaningless. The pattern that matters this window: winners ran 2–7× the size of the losses, because every loss was capped by a pre-set stop while winners were left to trail. That asymmetry — small capped losses, larger running wins — is the whole design.

Macro setup tracker

The market context the discretionary overlay watches. A point-in-time snapshot — the specific entry orders, stops and targets behind it stay private.

Down
BTC macro state · 50w EMA + swing
$64.9k
BTC spot · 1D close
35.6
BTC monthly money-flow (14)
−17%
Spot vs 50-week EMA ($78.4k)
AssetWatch zonePosition in zoneStatus
BTC$57.4k – $72.1k51%Inside · Wait
ETH$1,515 – $2,61440%Inside · Wait
SOL$70.3 – $96.923%Inside · Wait
BNB$533 – $61947%Inside · Wait
AVAX$5.95 – $7.1158%Inside · Wait
LINK$7.00 – $10.8745%Inside · Wait
XRP$1.01 – $1.1854%Inside · Wait
DOGE$0.07 – $0.0826%Inside · Wait

Watch zones = multi-week consolidation bands the overlay tracks for macro entries. Snapshot as of 2026-07-27; the specific ladder orders, stops and targets are not published.

Strategy book — backtest vs live

The strong part first: 11 strategies cleared rigorous backtesting on years of data. The honest part: a strong backtest doesn't always survive live yet — and we show that gap rather than hide it. (Plain names; exact parameters stay private.)

StrategyStyleBT nBT WRBT PFLive nLive PFStatus
Higher-Timeframe Momentum Trend3946%1.31211.52Paper · flagship
Trend (Alligator)Trend8242%1.34691.07Paper
Liquidation-Zone ReversionMean-rev98170%1.89131.52Revived
Liquidity Mean-ReversionMean-rev87440%4.840Paper
Smart-Money Concepts ISMC2,29938%1.22310.71Testnet
Smart-Money Concepts IISMC49036%1.18140.24Testnet
Money-Flow LongTrend1450%1.19183.89Paper
CME Gap FillMacro3286%1.390Paper
ETH Funding Fade NewCarry3459%1.960Paper
Alt EMA Cross NewTrend7746%1.670Paper
BTC Macro LadderMacro0Live · testnet
Multi-leg Momentum (Cascade)Mean-rev5237%1.05130.67Killed

WR = win rate · PF = profit factor (gross wins ÷ gross losses) · BT = backtest · n = trade count. PF below 1.0 means losing. ★ = the strategy the copy book leads with.

Recent trades — the unedited tape

The honest summary first. The full row-by-row tape is one click below — nothing hidden, just ordered so the picture is clear before the detail.

10W / 10L
Last 20 trades, all stages
+6.68R
Best trade: a BTC short ran ~6.7× its risk
+5.77%
Best week: Money-Flow Long — ZEC +5.77%, SOL +3.11%
100%
Of losing trades capped by pre-set stops

Read the stages, not the sum. These rows span paper, testnet and live — different sizing, some not real money — so adding them up as one P&L is meaningless. Two stand-outs this window: Money-Flow Long closing ZEC at +5.77% and SOL at +3.11% on clean take-profit exits. Against them: two live stop-outs on Liquidation-Zone at −4.03% and −2.76% — both capped by pre-set stops. Every single loss in this window was capped by a stop before it could compound. That is the design.

See the full 20-trade tape →
Time (UTC)StrategyStageCoinSideResultExit
2026-07-27 00:34Money-Flow LongPaperZECLONG+5.77%Take profit
2026-07-27 00:24Money-Flow LongPaperSOLLONG+3.11%Take profit
2026-07-26 15:40Liquidation-Zone ReversionLiveUNISHORT−4.03%Stop loss
2026-07-25 16:36Liquidation-Zone ReversionLiveAVAXSHORT−2.76%Stop loss
2026-07-23 05:13Higher-TF MomentumPaperIMXSHORT+1.50%Trailing stop
2026-07-23 00:39Trend (Alligator)PaperENJLONG−1.50%Stop loss
2026-07-22 16:00Smart-Money ITestnetAVAXSHORT−1.34RStop loss
2026-07-21 07:14Trend (Alligator)PaperADALONG+3.12%Trailing stop
2026-07-20 20:03Trend (Alligator)PaperADALONG+3.33%Trailing stop
2026-07-20 15:00Smart-Money ITestnetRUNESHORT+1.01RTrailing stop
2026-07-19 19:03Trend (Alligator)PaperADALONG−1.50%Stop loss
2026-07-19 13:52Money-Flow LongPaperAAVELONG−0.03%Stop loss
2026-07-19 09:00Smart-Money ITestnetSUISHORT+0.76RTrailing stop
2026-07-18 14:00Smart-Money IITestnetSOLSHORT−1.28RStop loss
2026-07-17 16:00Smart-Money ITestnetBTCSHORT+6.68RTrailing stop
2026-07-16 18:00Smart-Money IITestnetTIASHORT+0.81RTrailing stop
2026-07-16 15:00Smart-Money ITestnetARBSHORT−1.26RStop loss
2026-07-16 15:00Smart-Money IITestnetARBSHORT−1.23RStop loss
2026-07-15 15:29Higher-TF MomentumPaperDOTSHORT−1.50%Stop loss
2026-07-15 07:53Higher-TF MomentumPaperIMXSHORT+1.50%Trailing stop

R = a trade's result measured against the risk taken on it (used for testnet rows) · % = the price move captured. Snapshot 2026-07-27.

How we kill & revive strategies

Each strategy ships with pre-committed kill criteria. When they fire, it's discipline, not failure — and it's logged. This list only grows.

2026-06-08
Shipped
Two new paper strategies deployed

After a 66-variant research sweep: an ETH funding-fade (3-yr backtest PF 1.96, 92% bootstrap-positive) and an alt EMA-cross basket. Both go to paper first for forward validation — never straight to real money.

2026-06-06
Killed
Multi-leg Momentum (Cascade) paused — no edge

Deep-dive found it never earned a real-money slot: paper profit factor ~0.66, and even its best backtest regime barely broke even net of costs. Stopped and disabled. Reversible only if a genuine new edge thesis appears.

2026-06-02
Watch
First live Liquidation-Zone trades all hit stops

The first three live trades of a revised exit model all stopped out. Sample too small to act on — logged transparently, validation continues.

2026-05-28
Shipped
Removed a regime filter that was causing losses

Data showed one strategy's market-regime gate was behind a string of stop-outs (it bought weakness while strength led). Removed on evidence, kept the filter that worked.

2026-05-24
Shipped
Fixed the flagship after 42 silent days

A direction filter had quietly stopped the Higher-TF Momentum strategy trading for six weeks. Diagnosed, A/B-tested, reverted — back to trading within 24 hours.

How you verify it

Transparency only counts if you can check it yourself.

Binance-verified stats

The copy book runs on Binance, whose own lead-trader page reports ROI, PnL and win rate independently of us. Talk to Us and you get the live profile to inspect before you copy a cent.

On-chain (Hyperliquid)

As the Hyperliquid book comes online, every position and PnL is on-chain and public — verifiable by anyone, impossible to fake or quietly edit. Coming soon.

Append-only failure log

The kill log above only grows; entries are never deleted. The track record — wins and losses — is the asset, not any single call.

Research notes

Write-ups from inside the desk — methodology, post-mortems, and what the data actually says.

Kill criteria: deciding when a strategy dies

Pre-committing to a stop removes the emotion. Why we've killed 5 strategies — and what to ask any service you follow.

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Why most copy-trading has no edge

We built a system to copy profitable traders — then killed it. A profitable trader isn't a copyable edge. The study, and what we do instead.

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What is profit factor? The metric that beats win rate

Gross wins ÷ gross losses. The single ratio that tells you whether a strategy has a real edge — and how to read it before you copy anyone.

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BTC cycles: what 12 years of data does and doesn't tell you

Three halvings, a repeating chart pattern — and why three data points can't carry the precision most cycle forecasts require.

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Why most trading bots die: overfitting explained

Spectacular backtest, immediate live losses. What overfitting is, how to spot it, and why the backtest-vs-live gap is the number that matters.

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What is non-custodial copy trading?

Plain-English guide: your funds never leave your own account. Why custody is the only catastrophic risk.

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How to read drawdown

The most predictive number on any trader's profile — and the most ignored. The ratios that beat ROI alone.

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How to invest in crypto from the UAE

The regulatory picture (VARA, ADGM), custody choices, and disciplined exposure without day-trading.

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Copy trading vs holding Bitcoin

An honest comparison — effort, risk, cost, and who each approach actually suits.

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How to grow your USDT safely

Lending, staking, market-neutral strategies — and the risk behind each headline yield.

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How to copy trade safely

The 7-point checklist — custody, drawdown, fees, visible losses — from inside a desk, not a marketing department.

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Why we publish our losses

Most services show you wins. We publish the losses and the killed strategies — here's why that's the whole point.

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Post-mortem: a strategy that "worked"

It passed its backtest. We killed it anyway. Thin edges, trading costs, and pre-committed kill criteria.

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Backtest vs live: the gap

What ~5,000 simulated trades taught us — why backtests flatter, and how we gate capital because of it.

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Follow along

No paywall. Leave your email and I'll send strategy write-ups, track-record updates and post-mortems as they're published.

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How Glasshouse is paid

Aligned with you, by design.

Glasshouse only earns when you profit.

You keep custody of your funds in your own Binance account — Glasshouse never holds or can withdraw your money.

When the desk makes you money, it takes a performance fee — between 10% and 30% of profits, depending on your plan — on a high-water mark, settled by the exchange. It only earns on new gains, never the same ground twice. No profit, no fee; never a charge on losses, and the rest is yours.

Important — about the numbers. Figures marked or described as backtest are the result of applying a strategy's rules to historical data; they are hypothetical, were not achieved with real capital, and do not capture all real-world frictions. Backtested and past performance is not a reliable indicator of future results, and live trading routinely produces materially different — including worse — outcomes. Each strategy is shown individually and at a different stage of validation; several live samples are small. Macro levels shown are a point-in-time snapshot, not advice or a recommendation to trade. Glasshouse Research is a research and educational publication; nothing here is financial, investment, legal or tax advice, a recommendation, or a solicitation, and it does not manage assets or trade on your behalf. The copy service is a signal you choose to mirror in your own account — not a fund or deposit. Trading crypto with leverage carries a high risk of loss; you can lose some or all of your capital. Glasshouse is independent and not a licensed financial services provider.