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tradercore's Introduction

TraderCore

DeepScan grade

TradeCore made for Trading, Signaling and Backtesting Strategies based on datas provided by DataSynchronizer (https://github.com/stockmlbot/DataSynchronizer/).

Install:

Rename .sample_env -> .env and configure required variables

npm install && npm run build && npm start

Windows(only):

  • Talib will build only with --vs2015 build tools.
npm install --vs2015 --global windows-build-tools

API Endpoints:

Tradepairs:

/all

Get all available Tradepairs from database.

curl --location --request GET 'http://localhost:3100/tradepairs/all'

Strategy:

/all

Get all available Strategy and configuration schema from (https://github.com/stockmlbot/TraderCore/blob/master/src/strategies/index.ts).

curl --location --request GET 'http://localhost:3100/strategy/all'

Backtest:

/optimize

Run Backtest optimize process against given Tradepair with various strategy configuration (random generated).

curl --location --request POST 'http://localhost:3100/backtest/optimize' \
--data-raw '{
  "exchange": '\''binance'\'',
  "symbol": '\''BTC/USDT'\'',
  "strategy": '\''bb_pure'\'',
  "candleLimit": 3000,
  "numberOfExecution": 30
};'

Additional features:

Live strategy evaluation:

It allow to load/update your pre-configured strategies and save trading advices into the database also can be used for Tradebot.

Tradebot (experimental):

Interact with Exchanges to execute,update,follow Orders and manage balances.

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