def deploy_token(
    deploy_client: JSONRPCClient,
    contract_manager: ContractManager,
    initial_amount: typing.TokenAmount,
    decimals: int,
    token_name: str,
    token_symbol: str,
) -> ContractProxy:
    token_address = deploy_contract_web3(
        contract_name=CONTRACT_HUMAN_STANDARD_TOKEN,
        deploy_client=deploy_client,
        contract_manager=contract_manager,
        constructor_arguments=(initial_amount, decimals, token_name, token_symbol),
    )

    contract_abi = contract_manager.get_contract_abi(CONTRACT_HUMAN_STANDARD_TOKEN)
    return deploy_client.new_contract_proxy(
        contract_interface=contract_abi, contract_address=token_address
    )
def test_impl(nsyms):
            max_num_days = 100
            all_res = 0.0
            for i in sdc.prange(nsyms):
                s_open = 20 * np.ones(max_num_days)
                s_low = 28 * np.ones(max_num_days)
                s_close = 19 * np.ones(max_num_days)
                df = pd.DataFrame({'Open': s_open, 'Low': s_low, 'Close': s_close})
                df['Stdev'] = df['Close'].rolling(window=90).std()
                df['Moving Average'] = df['Close'].rolling(window=20).mean()
                df['Criteria1'] = (df['Open'] - df['Low'].shift(1)) < -df['Stdev']
                df['Criteria2'] = df['Open'] > df['Moving Average']
                df['BUY'] = df['Criteria1'] & df['Criteria2']
                df['Pct Change'] = (df['Close'] - df['Open']) / df['Open']
                df['Rets'] = df['Pct Change'][df['BUY']]
                all_res += df['Rets'].mean()
            return all_res