Praxis by MarketGraphs · rev. 2026-07
Strategy Validation Engine

Audited
systematic strategies
in your trading stack.

$ praxis --request-access
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0 strategy papers mapped·≈480 new / month
Abstract ↓

Abstract

Praxis is a library of audited systematic trading strategies. Published claims overstate themselves, routinely and measurably [2, 3]. We read ≈480 new papers a month, 42,984 strategy papers mapped to date, and rebuild the most consequential to the paper's own spec. Each is re-run on bias-free data, out of sample, net of all real costs, across crisis regimes, accounting for overfitting [4] and luck [1]. Every claim leaves validated, overstated, or fails, and its code integrates into IBKR, Bloomberg or LEAN.

Keywords: replication · out-of-sample · deflated Sharpe · alpha decay · MCP
0 · Abstract§0 1 · Findings§1 2 · Methodology§2 3 · Access§3 4 · References§4
Figure 1. The corpus by economic bet and asset class: the ten most-published of 74 bets, title-tagged across 43,018 papers, multi-label. Shading ∝ papers. A · marks fewer than three.

1Findings

Table 1. Claimed vs. measured, out-of-sample, net of costs.
#PaperAssetClaimedMeasuredClaimed → MeasuredVerdict
(1)

2Methodology

Definition 1 (Measured edge). The measured edge is the paper's own headline statistic, recomputed from a full re-implementation under three conditions: (i) out of sample, (ii) net of real costs, (iii) on survivorship-clean, point-in-time data. Table 1 reports it beside the claim.

Theorem 1 (Selection). Among N backtests of noise, the expected best Sharpe ratio grows as √(2 ln N) [1]. Publication reports the maximum, so a claimed edge exceeds the true one in expectation. The excess is identified only by re-measurement under Definition 1, and Eq. (1) turns the gap into the verdict.

Remark. The verdict is computed, not argued.

Figure 2. What survives each gate. 100 claims enter, ≈12 leave beta-adjusted. Illustrative until the audited set is large enough to publish measured rates · full gate definitions ↗

3Access

Table 2. Access — reader is free, no card; desk seats open with the beta.
Reader — freeDesk — beta
A library of clustered systematic trading strategies10 papers42,984
Strategy validation reports under live trading conditions10all
Reproduction code, integrated with Bloomberg, IBKR, etc.10all
Integration with your AI agent — Claude, ChatGPT, Cursor10full corpus
$ subscribe --tier reader
$ praxis --chat
works in Claude · ChatGPT · Cursor · any MCP host

4References

[1]Bailey, D. & López de Prado, M. The Deflated Sharpe Ratio. J. Portfolio Management, 2014.
[2]Ioannidis, J. Why Most Published Research Findings Are False. PLoS Medicine, 2005.
[3]Harvey, C., Liu, Y. & Zhu, H. …and the Cross-Section of Expected Returns. Review of Financial Studies, 2016.
[4]Bailey, Borwein, López de Prado & Zhu. The Probability of Backtest Overfitting. J. Computational Finance, 2017.
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