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    <title>Learning Agent for a Heat-Pump Thermostat With a Set-Back Strategy Using Model-Free Reinforcement Learning</title>
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    <title>[untitled]</title>
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<item rdf:about="https://arxiv.org/pdf/1811.03718.pdf">
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<item rdf:about="https://github.com/cbyn/bitpredict">
    <title>[untitled]</title>
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<item rdf:about="https://www.ceremade.dauphine.fr/~brugiere/files/HoF2018%20ML%20in%20Finance/HoF2018%20CA%20Lehalle.pdf">
    <title>Machine Learning For Trading:Keeping Optimal Control Under Control</title>
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<item rdf:about="http://proceedings.mlr.press/v80/srouji18a/srouji18a.pdf">
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    <title>Automating Closing Out Stock Position With Large Spread and High Volatility | Elite Trader</title>
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    <title>BAML Algo Routing FAQ</title>
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    <title>BAML Algo Suite Guide</title>
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<item rdf:about="https://autobahn.db.com/microSite/docs/DeutscheBank_OrderBookLiquidityonPrimaryMarketsPostMiFID2.pdf">
    <title>Impact of MiFid2 - shallow and deep liquidity</title>
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    <title>Minimal simulation agent based</title>
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<item rdf:about="https://arxiv.org/pdf/1805.07478.pdf">
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<item rdf:about="https://arxiv.org/pdf/1804.04216.pdf">
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<item rdf:about="https://arxiv.org/pdf/1710.03870.pdf">
    <title>A High Frequency Trade Execution Model for Supervised Learning</title>
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    <title>A General Framework of Optimal Investment</title>
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<item rdf:about="https://arxiv.org/pdf/1802.01528.pdf">
    <title>The Matrix Calculus You Need For Deep Learning</title>
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<item rdf:about="https://www.acumos.org/wp-content/uploads/sites/61/2018/03/acumos_open_source_ai_platform_032518.pdf">
    <title>Acomos.</title>
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<item rdf:about="http://www.bestexecution.net/trading-sors/">
    <title>SMART ORDER ROUTING: RAISING THE GAME.</title>
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<item rdf:about="http://infrontfinance.com/media/1598/neonet_sor_leaflet.pdf">
    <title>Neonet SOR</title>
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<item rdf:about="http://www.neonet.com/Documents/Offering/Smart%20Order%20Routing%20Logic%20-%20How%20SORs%20hunt%20dark%20liquidity.pdf">
    <title>Smart Order Routing Logic EMEA</title>
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<item rdf:about="https://www.innoq.com/en/blog/thoughts-on-a-canonical-data-model/">
    <title>Why You Should Avoid a Canonical Data Model</title>
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<item rdf:about="https://christophm.github.io/interpretable-ml-book/">
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<item rdf:about="http://www.business-science.io/business/2016/09/04/CustomerSegmentationPt2.html">
    <title>Customer Segmentation Part 2: PCA for Segment Visualization</title>
    <dc:date>2018-03-21T12:32:55+00:00</dc:date>
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    <title>Market Making and Mean Reversion</title>
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    <title>On-Line Market Microstructure Prediction Using Hidden Markov Models</title>
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    <title>Accessing liquidity in global markets - Spread Volatility Ratio</title>
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<item rdf:about="http://www.thetrade-digital.com/thetrade/issue_49_autumn_2016/MobilePagedReplica.action?pm=1&amp;folio=25#pg25">
    <title>The Trade - Issue 49 Autumn 2016</title>
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<item rdf:about="https://arxiv.org/pdf/1511.00740.pdf">
    <title>Learning Unfair Trading: a Market Manipulation Analysis From the Reinforcement Learning Perspective</title>
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<item rdf:about="https://www.alexirpan.com/2018/02/14/rl-hard.html">
    <title>Deep Reinforcement Learning Doesn't Work Yet</title>
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<item rdf:about="http://www.diva-portal.se/smash/get/diva2:963057/FULLTEXT01.pdf">
    <title>Optimal Order Execution using Stochastic Control and Reinforcement Learning</title>
    <dc:date>2018-02-18T21:51:57+00:00</dc:date>
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    <title>Simulation</title>
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<item rdf:about="https://arxiv.org/pdf/1708.02715.pdf">
    <title>Order Flows and Limit Order Book Resiliency on the Meso-Scale</title>
    <dc:date>2018-01-20T13:07:29+00:00</dc:date>
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    <title>ONLINE LEARNING IN LIMIT ORDER BOOK TRADE EXECUTION</title>
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<item rdf:about="https://arxiv.org/pdf/1710.01452.pdf">
    <title>ransform Analysis for Hawkes Processes with Applications in Dark Pool Trading</title>
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    <title>Tools and protocol for reproducible data science using Python</title>
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<item rdf:about="http://www.tradersmagazine.com/news/algos_dma/mifid-ii-what-are-the-testing-implications-for-algorithmic-trading-117012-1.html?pg=2ET=tradersmagazine:e3452:1111035a:&amp;st=email">
    <title>MiFID II: What Are the Testing Implications for Algorithmic Trading?</title>
    <dc:date>2017-12-14T02:04:29+00:00</dc:date>
    <link>http://www.tradersmagazine.com/news/algos_dma/mifid-ii-what-are-the-testing-implications-for-algorithmic-trading-117012-1.html?pg=2ET=tradersmagazine:e3452:1111035a:&amp;st=email</link>
    <dc:creator>vivekarora</dc:creator><dc:subject>Testing MiFID2</dc:subject>
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    <title>Market mechanisms and zero intelligence models of the order book</title>
    <dc:date>2017-11-27T19:25:32+00:00</dc:date>
    <link>http://img.bimba.edu.cn/resources/file/9/2016/04/13/20160413101730462.pdf</link>
    <dc:creator>vivekarora</dc:creator><dc:subject>Market_Microstructure Simulation Microprice</dc:subject>
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<item rdf:about="https://www.bloomberg.com/professional/blog/toxicity-its-not-reserved-just-for-the-dark-pools/">
    <title>Lit Venue and Dark Toxicity</title>
    <dc:date>2017-11-27T03:45:18+00:00</dc:date>
    <link>https://www.bloomberg.com/professional/blog/toxicity-its-not-reserved-just-for-the-dark-pools/</link>
    <dc:creator>vivekarora</dc:creator><dc:subject>VenueAnalysis Toxicity Dark_Pools</dc:subject>
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<item rdf:about="http://www.goldmansachs.com/what-we-do/securities/gset/equities/liquidity-access/electronic-trading-questionaire-gset.pdf">
    <title>Goldman Electronic Trading Equities Questionnaires</title>
    <dc:date>2017-11-25T18:00:24+00:00</dc:date>
    <link>http://www.goldmansachs.com/what-we-do/securities/gset/equities/liquidity-access/electronic-trading-questionaire-gset.pdf</link>
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<item rdf:about="https://www.virtu.com/uploads/documents/KCG_TS_Catch-Algo-Sheet.pdf">
    <title>Catch quality liquidity as only Catch can</title>
    <dc:date>2017-11-25T17:58:33+00:00</dc:date>
    <link>https://www.virtu.com/uploads/documents/KCG_TS_Catch-Algo-Sheet.pdf</link>
    <dc:creator>vivekarora</dc:creator><dc:subject>Liquidity_Seeking Dagger</dc:subject>
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<item rdf:about="https://web.stanford.edu/class/msande448/2016/final/group5.pdf">
    <title>A Survey of High-Frequency Trading Strategies</title>
    <dc:date>2017-11-19T01:10:51+00:00</dc:date>
    <link>https://web.stanford.edu/class/msande448/2016/final/group5.pdf</link>
    <dc:creator>vivekarora</dc:creator><dc:subject>Alpha Simulation Microprice Machine_Learning Market_Making</dc:subject>
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